JP7707773B2 - Electrical equipment remote inspection system, Electrical equipment remote inspection method - Google Patents

Description

The present invention relates to a technology for remotely and automatically performing general routine maintenance and inspection of electrical equipment installed in electrical facilities such as substations.

When it comes to maintenance and inspection of electrical equipment such as substations, the traditional method has been for maintenance and inspection personnel to visit the site where the electrical equipment is installed and observe the condition of the equipment according to the inspection items.

Inspection items include (1) reading meters installed on electrical equipment and checking the numerical and status values displayed on the monitor, (2) observing the appearance of the equipment, such as dirt and damage, (3) observing any abnormal sounds coming from the equipment, and (4) checking for the presence or absence of abnormal odors from the equipment.

Regarding meter reading, as shown in Patent Document 1, a method has been proposed in which the memory of an analog meter is read by processing an image captured by a camera. In addition, regarding confirmation of numerical values and status values displayed on a monitor, as shown in Non-Patent Documents 1 and 2, a system has been proposed that reads the status of electrical equipment via a network.

Regarding external observation, as shown in Non-Patent Document 3, an attempt has been proposed to monitor the external appearance of facilities using surveillance cameras. That is, in addition to cost reduction through labor saving, there is a greater demand than ever for labor saving in patrols of substations due to labor shortages caused by the declining birthrate, so the use of drones, patrol robots, and multiple cameras is being considered as a means of replacing visual patrols.

However, there are concerns that drones may crash in narrow spaces or due to electromagnetic field effects, and substation patrol robots are expensive. Therefore, in non-patent document 3, a substation monitoring system using multiple cameras is constructed to investigate the possibility of replacing visual patrols.

Regarding the observation of abnormal sounds, as shown in Non-Patent Document 4, a method has been proposed in which sounds picked up by a microphone are analyzed to detect abnormalities in equipment. In addition, regarding the confirmation of abnormal odors, as shown in Non-Patent Documents 5 and 6, devices have been proposed in which samples are taken back to a laboratory and odor analysis is performed. Furthermore, as shown in Non-Patent Document 7, Fire Alarms, various gas sensors have been proposed.

Patent No. 4910194 Patent No. 6849791

"General-purpose data collection and transmission terminal device MEIDEN Quality connecting the next Telemot / TELEMOT MT" Retrieved July 26, 2021 [online] Internet <URL: https://www.meidensha.co.jp/catalog/mb/MB637-3275.pdf> "Multifunctional digital relay MEIDEN Quality connecting the next IPMAT II series" Retrieved July 26, 2021 [online] Internet <URL: https://www.meidensha.co.jp/catalog/jd/JD30-2874.pdf> Ryuichi Ishino (Central Research Institute of the Electric Power Industry), Toshifumi Sugimoto (Chubu Electric Power), Hiroyuki Yusa, Masaki Shirai (Central Research Institute of the Electric Power Industry) "Development of a Substation Patrol Replacement System Using Multiple Cameras" 2019 IEEJ C Division Conference OS1-5 “What is Fluctuation Sound Analysis?” Retrieved July 26, 2021 [online] Internet <URL: https://www.onosokki.co.jp/HP-WK/c_support/newreport/fluct_sound/index.htm> "KunKun body" Retrieved July 26, 2021 [online] Internet <URL: https://kunkunbody.konicaminolta.jp/> "Odor identification device" Retrieved July 26, 2021 [online] Internet <URL: https://www.an.shimadzu.co.jp/prt/ff/ff2020.htm> "Fire alarm that adds safety and comfort" Retrieved July 26, 2021 [online] Internet <URL: https://www.new-cosmos.co.jp/> ≡Odor Sensor System using Chemosensitive Resistor Array and Machine Learning≡: Rui Yatabe, Atsushi Shunori, Bartosz Wyszynski, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Akio Oki, Hiroaki Oka, Takashi Washio, and Kiyoshi Toko: IEEE Sensors Journal: 21,2,DOI:10.1109/JSEN.2020.3016678(Reiwa 2))

The methods in Patent Document 1 and Non-Patent Documents 1 to 7 are useful as supplements for individual inspection items performed by maintenance and inspection personnel. However, each proposal only automates one inspection item, so other inspection items must be observed and checked manually.

As a result, maintenance and inspection personnel will end up having to go to the site, and there is a risk that maintenance and inspection will not be omitted. In particular, when it comes to checking for abnormal odors, there is no sensing system in place to check for oily or burnt odors in electrical equipment such as substations, so maintenance and inspection personnel must rely on their own senses.

The present invention was made to solve these problems in the past, and its problem-solving objective is to automatically measure each inspection item of electrical equipment, enabling daily inspections without the need for maintenance and inspection personnel to visit the site.

(1) One aspect of the present invention is
Electrical equipment installed outdoors at the electrical facility;
A control panel installed in an electrical room of the electrical facility;
A system for automatically performing maintenance inspection remotely on a target object,
An information and communication device that is installed on the control panel and acquires measurement values collected by built-in sensors of the electrical equipment and that are collected on the control panel;
a meter reading device that photographs a meter installed in the electrical equipment and reads and acquires the indication value of the meter based on the photographed image;
A surveillance camera device that captures an external view of the inspection target and acquires a captured image;
a sound collecting device that collects sound signals from the surroundings of the inspection target using a microphone and obtains abnormal sound information by determining the presence or absence of abnormal sound and the level of the abnormal sound based on the collected sound signals;
an odor sensor device that draws in gas around the inspection target and acquires odor information that diagnoses the presence or absence of an odor based on an odor sensor signal obtained from the drawn in gas;
an environmental measuring device that measures and acquires environmental information about an environment in which the inspection target is installed;
an on-site inspection server that is installed in the electrical room and organizes and stores information acquired by each of the devices as inspection data;
a remote monitoring device that receives the inspection data organized and stored by the on-site inspection server via a network;
The present invention is characterized by the following.

(2) Another aspect of the present invention is
Electrical equipment installed outdoors at the electrical facility;
A control panel installed in an electrical room of the electrical facility;
A method for performing a remote and automatic maintenance inspection system for an inspection target, comprising:
An information communication device installed in the control panel acquires measurement values by built-in sensors of the electrical equipment collected in the control panel;
taking an image of a meter installed in the electrical equipment by a meter reading device, and reading and acquiring the indication value of the meter based on the image taken;
A step of photographing an external view of the inspection target by a surveillance camera device and acquiring a photographed image;
a step in which an acoustic collection device collects acoustic signals around the inspection target using a microphone, and obtains abnormal sound information by determining the presence or absence of abnormal sound and the level of the abnormal sound based on the collected acoustic signals;
an odor sensor device inhaling gas around the inspection target and acquiring odor information diagnosing the presence or absence of an odor based on an odor sensor signal obtained from the inhaled gas;
measuring and acquiring information about an environment in which the inspection target is installed by an environment measuring device;
An on-site inspection server installed in the electrical room organizes and stores the acquired information of each of the devices as inspection data;
providing the inspection data organized and stored by the on-site inspection server to a remote monitoring device via a network;
The present invention is characterized in that it has the following features.

According to the present invention, each inspection item of electrical equipment is measured automatically, making it possible for maintenance and inspection personnel to perform daily inspections without visiting the site.

FIG. 1 is a configuration diagram of a remote comprehensive inspection system for electrical equipment according to a first embodiment. FIG. 3 is a diagram showing the configuration of the meter reading device. A diagram of the fixed surveillance camera. A diagram of the mobile surveillance camera. FIG. FIG. An example of feature data obtained using the same olfactory sensor. An example of feature data organized into a high-dimensional vector. FIG. 13 is a diagram showing the configuration of the indoor environment measuring device. A diagram showing the configuration of the outdoor environmental measuring device. A configuration diagram of the on-site inspection server. FIG. A diagram showing the layout of the inspection equipment in the electrical room. A diagram showing the layout of each inspection device for outdoor electrical equipment. FIG. FIG. 13 is a diagram showing the configuration of analysis parameters. 4 is a flowchart showing the operation process of the information communication terminal. 4 is a flowchart showing the operation process of the meter reading device. 4 is a flowchart showing the operation process of the fixed surveillance camera device. 4 is a flowchart showing the operation process of the mobile surveillance camera device. 4 is a flowchart showing the operation process of the sound collecting device. 4 is a flowchart showing the operation process of the olfactory sensor device according to the first embodiment; 4 is a flowchart showing the operation process of the indoor environment measuring device. 4 is a flowchart showing the operation process of the outdoor environment measuring device. 4 is a flowchart showing the operation process of the on-site inspection server according to the first embodiment; 4 is a flowchart showing the operation process of the various setting function unit of the same. 4 is a flowchart showing the operation process of the inspection schedule management function unit of the same. 4 is a flowchart showing the operation process of the data processing and recording function unit of the embodiment; A data structure diagram of the inspection database. 4 is a flowchart showing the operation process of the comprehensive analysis function unit of the same. 4 is a flowchart showing the operation process of the abnormal sound distribution estimation function unit of the first embodiment; The estimated distribution of abnormal sounds. 4 is a flowchart showing the operational process of the off-odor distribution estimation function unit of the same. The same odor distribution estimate map. 4 is a flowchart showing the operation process of the inspection report creation function unit of the same. (a) is a monthly inspection schedule, and (b) is a daily inspection schedule. The inspection data viewing confirmation screen. The detailed inspection data confirmation screen. 10 is a flowchart showing the operation process of the odor sensor device according to the second embodiment. 4 is a flowchart showing the operation process of detecting an oil odor level and judging an oil odor in the same embodiment. 4 is a flowchart showing the operation process of detecting a burning odor level and judging the burning odor in the same. 4 is a flowchart showing the operation process of estimating an off-odor distribution. The same odor distribution estimate map. 13 is a flowchart showing an operation process of a site inspection server according to a third embodiment. 4 is a flowchart showing the operation process of the inspection data time series analysis function unit of the same. The detailed inspection data viewing confirmation screen shows a time series graph.

The following describes an embodiment of the electrical equipment remote comprehensive inspection system (remote comprehensive inspection method for electrical equipment) of the present invention. This system makes it possible to automatically and remotely carry out all routine maintenance and inspection of electrical equipment installed in electrical facilities such as substations.

In other words, all items of inspection, such as checking the numerical values and status values of meters and monitors, observing the appearance, observing abnormal sounds, and checking for abnormal odors, are measured automatically, making it possible for maintenance and inspection personnel to carry out general daily inspections without visiting the site. In particular, a complex sensing system has been constructed to enable highly reliable detection of abnormal odors, which was not possible with conventional methods.

The first embodiment of the system will be described with reference to Figures 1 to 38. The number 1 in Figure 1 indicates the system.

The system 1 includes 4 information communication terminals, 5 meter reading devices, 6 fixed surveillance camera devices, 7 mobile surveillance camera devices, 8 acoustic collection devices, 9 olfactory sensor devices, 10 indoor environment measuring devices, 11 outdoor environment measuring devices, an on-site inspection server 12, and a remote monitoring terminal 13.

In this case, the devices 4 to 11 can be called inspection devices because they are used to remotely inspect the electrical equipment of the substation. Furthermore, the devices 4 to 11 are prepared according to the number of electrical equipment 10 and control panels 20 (hereinafter referred to as equipment to be inspected) to be inspected, and are installed for each piece of equipment to be inspected.

<Deployment Status>
In an electrical facility such as a substation, electrical equipment 30 such as transformers and circuit breakers are arranged side by side, and control panels 20 for controlling the electrical equipment 30 are arranged side by side in an electrical room, as shown in Figures 13 and 14. Conventional maintenance and inspection work performed by maintenance and inspection personnel involves walking around the electrical facility and inspecting the electrical equipment 30 and the control panels 20.

In contrast, in this embodiment, the devices 4 to 12 are placed in various locations within the electrical facility, and the status of the equipment to be inspected is remotely monitored. The remote monitoring terminal is placed in a remote maintenance room.

(1) Inside the Electrical Room With reference to FIG. 13, an example of the arrangement of the devices 4, 6, 8 to 10, and 12 in the electrical room will be described (the devices 5, 7, and 11 are not arranged in the electrical room).

In FIG. 13, 20-1, 20-2, 20-3...20-N indicate control panels 20 arranged in the electrical room. An information communication terminal 4 is arranged inside each control panel 20. In addition, an acoustic collection device 8, an odor sensor device 9, and an indoor environment device 10 are arranged so as to surround each of the control panels 20-1, 20-2, 20-3...20-N.

Fixed surveillance cameras 6 are placed around each of these devices 8 to 10 (devices 5, 7, and 11 are not placed inside the electrical room). An on-site inspection server 12 is placed at a designated location inside the electrical room.

(2) Outdoors An example of the arrangement of the devices 4 to 11 outdoors in an electrical facility will be described with reference to Fig. 14. In Fig. 14, 30-1, 30-2, 30-3...30-N indicate electrical equipment 30 installed outdoors. Also, 30-2 indicates electrical equipment 30 equipped with a meter that does not have a communication means, such as a mechanical meter, and the meter reading device 5 is also installed.

A sound collecting device 8, an olfactory sensor device 9, and an outdoor environment device 11 are arranged to surround each of the electrical equipment 30-1, 30-2, 30-3... 30-N. A mobile surveillance camera 11 is arranged to surround each of the devices 8, 9, 11, and a fixed surveillance camera device 6 is arranged to surround the device 11.

<Configuration of each device 4 to 13>
(1) Information and communication device 4
Each information and communication device 4 can be a general-purpose data collection and transmission terminal as described in non-patent document 1 or a multi-function digital relay as described in non-patent document 2, and is installed in various control panels 20 in the electrical room of the substation, as in documents 1 and 2.

Here, each information communication device 4 receives control parameters from the on-site inspection server 12, and collects and acquires measurement values from the built-in sensors of the electrical equipment 30 and status values such as "ON"/"OFF" of the electrical equipment 30 that are collected in the control panel 20 according to the input control parameters.

Furthermore, for meters installed in the electrical equipment 30, such as smart meters whose meter indications can be collected by communication means, the meter indications are collected as measurement values by the information communication terminal 4. Each information communication device 4 transmits the measurement values and status values acquired according to the input control parameters to the on-site inspection server 12.

(2) Meter reading device 5
For meters installed in the electrical equipment 30 that are mechanical meters without communication means, such as a transformer oil level gauge, the meter readings cannot be collected by the information and communication device 4. Therefore, as described above, a meter reading device 5 is installed in the electrical equipment 30-2 to collect the meter readings.

Specifically, as shown in FIG. 2, each meter reading device 5 has a camera 5a, a light 5b, and a meter reading terminal 5c. Analysis parameters and control parameters are input to the meter reading terminal 5c from the on-site inspection server 12. The light control signal is output according to the control parameters to turn the light 5b on and off. Here, the meter is photographed by the camera 5a when the light 5b is turned on, and the photographed image is input to the meter reading terminal 5c.

The meter reading terminal 5c also analyzes the captured image in accordance with the input analysis parameters using a method similar to that described in Patent Document 1, and reads the meter reading. The meter reading and captured image thus read are transmitted to the on-site inspection server 12 in accordance with the input control parameters.

At this time, the captured image input from the camera 5a is temporarily saved (stored) in a memory area (not shown) provided in the meter reading terminal 5c. However, when the memory capacity of the memory area is reached, the oldest captured image is deleted in order, and the new captured image is saved.

(3) Fixed surveillance camera 6
Each fixed monitoring camera device 6 has a visible light camera 6a, an infrared camera 6b, a light 6c, a camera head 6d, and a fixed image capturing terminal 6e, as shown in Fig. 3. This fixed image capturing terminal 6e captures images of the exterior of the inspection target facilities 20, 30 in accordance with control parameters input from the on-site inspection server 12, and transmits the captured images to the on-site inspection server 12.

That is, the fixed image capturing terminal 6e outputs a tripod operation signal to control the operation of the tripod head 6d, thereby adjusting the capturing direction of the cameras 6a and 6b, and further outputs a lighting control signal to turn the lighting 6c on and off.

Here, the lighting 6c is preferably a visible light LED lighting with low power consumption, and when the lighting 6c is turned on, the cameras 6a and 6b capture the exterior of the electrical equipment 30 and the control panel 20. At this time, the visible light images captured by the visible light camera 6a and the infrared images captured by the infrared camera 6b are input to the fixed image capture terminal 6e and transmitted to the on-site inspection server 12.

(4) Mobile surveillance camera 7
4, each mobile surveillance camera 7 has a visible light camera 7a, an infrared camera 7b, a light 7c, a camera head 7d, a mobile camera dolly 7e, and a mobile image capturing terminal 7f. A mobile camera dolly controller 7h is built into the dolly 7e.

The mobile image capturing terminal 7f captures images of the exterior of the electrical equipment 30 according to the control parameters input from the on-site inspection server 12, and transmits the captured images to the on-site inspection server 12. That is, the mobile image capturing terminal 7f outputs a dolly operation signal to the controller 7h to control the operation of the dolly 7e. Here, the dolly 7e is configured as a monorail-type mobile dolly, and is capable of freely moving within the installation range of the rail 7g while carrying the various devices 7a to 7d.

The mobile image capturing terminal 7f also outputs a tripod operation signal to control the operation of the tripod 7d to adjust the capturing direction of the cameras 7a and 7b, and outputs a lighting control signal to turn on/off the lighting 7c. Here, the lighting 7c is preferably a visible light LED lighting with low power consumption like the lighting 6c, and when the lighting 7c is turned on, the cameras 7a and 7b capture the exterior of the electrical equipment 30.

At this time, the visible light image captured by the visible light camera 7a and the infrared image captured by the infrared camera 6b are each input to the mobile image capturing terminal 7f and transmitted to the on-site inspection server 12.

(5) Sound collecting device 8
5, each sound collecting device 8 has a microphone 8a and a sound collecting terminal 8b. Control parameters and analysis parameters are input from the on-site management server 3 to this sound collecting terminal 8b.

The acoustic signal collected by the microphone 8a from the surroundings of the inspection target equipment 20, 30 is input to the acoustic collection terminal 8b. At this time, the acoustic collection terminal 8b analyzes the input acoustic signal using the method of non-patent document 4 according to the input analysis parameters, and obtains the presence or absence of abnormal sound and the level of the abnormal sound as abnormal sound data.

The sound collection terminal 8b also transmits the abnormal sound data and sound signals to the local management server 3 according to the input control parameters. The sound signals input from the microphone 8a are temporarily stored in a storage area (not shown) provided in the sound collection terminal 8b, and when the storage capacity of the storage area is reached, the oldest sound signals are deleted in order and new sound signals are stored.

(6) Odor sensor device 9
6, the odor sensor device 9 includes a pair of "NaOH" filters 9a, an activated carbon filter 9b, solenoid valves 9A and 9B, an odor sensor 9c, a pump 9d, a device control unit 9e, and a data analysis unit 9f. The "NaOH" filter 9a is a filter that removes corrosive gases contained in the air, and the activated carbon filter 9b is a filter that removes unpleasant odor components contained in the air.

The solenoid valves 9A and 9B adjust the degree of opening and closing of the valves in response to valve adjustment commands (valve opening and closing degrees A and B) input from the device control unit 9e. The olfactory sensor 9c outputs a sensor signal corresponding to the inhaled gas, and an artificial olfactory system is used that is configured with a sensor array equipped with multiple sensors as described in Patent Document 2 and Non-Patent Document 8.

The pump 9d draws in the gas and circulates it within the odor sensor device 9. The pump 9d used in this embodiment is equipped with a flow meter, and can control the flow rate of the gas circulating within the odor sensor device 9 based on the device control command for the gas flow rate.

The device control unit 9e receives control parameters from the local management server 3 and controls the solenoid valves 9A and 9B, the pump 9d, and the data analysis unit 9f based on pre-set control information.

The data analysis unit 9f records the analysis parameters input from the on-site management server 12, and records the control parameters, sensor signal recording commands, and data analysis commands input from the device control unit 9e. Here, the olfactory signal input from the olfactory sensor 9c is recorded as time-series sensor signal data in accordance with the sensor recording command. In addition, data analysis is performed in accordance with the data analysis command to diagnose the presence or absence of abnormal odors around the equipment 20, 30 to be inspected.

To explain the details of the operation of the odor sensor device 9, gas is drawn into the device by controlling the pump 9d. At this time, the opening and closing degree of the solenoid valves 9A and 9B is controlled to alternately draw in gas that has passed through both filters 9a and 9b and gas that has passed only through the "NaOH" filter 9a without passing through the activated carbon filter 9b.

The odor components in the inhaled gas are detected by the olfactory sensor 9c, and the detected odor components are output to the data analysis unit 9f. The data analysis unit 9f sets the analysis control state values as follows in response to the sensor signal recording command and the data analysis command (however, the recording command has priority).
(A) The value of both commands is set to "0" = "standby state value."
(B) The value of the sensor signal recording command is "1" = the "recording state value" of the sensor signal data is set. Note that since the sensor signal recording command has priority, if both commands have the value "1", the "recording state value" is set.
(C) The value of the sensor signal recording command is set to "0" AND the value of the data analysis command is set to "1" = "data analysis status value."

When the set analysis control state value is the "recorded state value," the sensor signal data is recorded by organizing the sensor signal input from the olfactory sensor 6c in chronological order as described above. On the other hand, when the analysis control state value is the "analysis state value," the control parameters and the sensor signal data are extracted, and feature quantity data of the sensor signal data is created.

That is, first, the average value of the sensor signal during the sample OFF time (valve opening/closing degree A, B = "0") is calculated, and then the difference values of the sensor signal data are calculated discretely from the calculated average value and arranged to create feature data for each sensor. An example of how this feature data is created is shown in Figure 7.

The calculated feature data is then organized into high-dimensional vector data. This high-dimensional vector data becomes the feature data. Figure 8 shows an example of the feature data organized into a high-dimensional vector.

Then, the data analysis unit 9f provides the analysis parameters and feature data to a support vector machine (SVM) (not shown) to diagnose the presence or absence of an abnormal odor. The diagnosis result obtained from this diagnosis, "abnormal odor present" or "abnormal odor not present", is sent to the on-site inspection server 12 as abnormal odor data. In this embodiment, the presence or absence of an oily odor or a burnt odor is diagnosed as an abnormal odor.

The support vector machine is a two-class classifier to which analysis parameters are applied. In other words, the analysis parameters include parameters of the linear input elements of the two-class classifier obtained by offline learning using training data that is based on the sensor signal data of odor components classified in advance as "odor present" and "odor absent." For example, the presence or absence of an odor can be diagnosed by threshold judgment from the training data.

(7) Indoor environment device 10
9, the indoor environment measuring device 10 includes a thermometer 10a, a hygrometer 10b, a CO gas sensor (carbon monoxide gas sensor) 10c, and an indoor environment measuring terminal 10d. Control parameters are input to the indoor environment measuring terminal 10d from the on-site inspection server 12.

The indoor environment measuring terminal 10d also receives inputs of temperature information from the thermometer 10a, humidity information from the hygrometer 10b, and CO gas sensor intensity (concentration of monoxide gas) information from the sensor 10c. The input information is organized according to control parameters as indoor environment information around the control panel 20 in the electrical room, and transmitted to the on-site inspection server 12.

(8) Outdoor environment measuring device 11
10, the outdoor environment measuring device 11 has a thermometer 11a, a hygrometer 11b, a CO gas sensor 11c, an anemometer 11d, and an outdoor environment measuring terminal 11e. Control parameters are input from the on-site inspection server 12 to this outdoor environment measuring terminal 11e.

The outdoor environment measurement terminal 11e also receives inputs of temperature information from the thermometer 11a, humidity information from the hygrometer 11b, CO gas sensor strength information from the sensor 11c, and wind direction and speed information from the anemometer 11d. The input information is organized as outdoor environment information around the electrical equipment 30 according to control parameters, and transmitted to the on-site inspection server 12.

(9) On-site inspection server 12
The on-site inspection server 11 is composed of a server installed in the electrical room, and as shown in FIG. 11, downloads control parameters and analysis parameters created offline and stores them in an internal storage device (not shown).

The control parameters and analysis parameters stored here are transmitted to each of the devices 4 to 11, while transmission information from each of the devices 4 to 11 is received and data is organized and stored. Also, an inspection screen is provided to the remote monitoring terminal 12, input data for the inspection screen from the remote monitoring terminal 12 is accepted, and the input values of the accepted data are organized and stored.

(10) Remote monitoring terminal 13
12, the remote monitoring terminal displays an inspection screen provided by the on-site inspection server 12 via the network. While viewing this inspection screen, the maintenance inspector can perform various inputs on the inspection screen, and the inspection screen input data is transmitted via the network to the on-site inspection server 12. The inspection report organized on the inspection screen can also be output to a file, a printer, etc.

<Control parameters/analysis parameters>
(1) Control parameters The control parameters will be described with reference to Fig. 15. Here, the following parameters are used as the control parameters.

Control parameters input to the information communication terminal 4 (information terminal control parameters in FIG. 15)
Control parameters input to the meter reading terminal 5c of the meter reading device 5 (meter reading control parameters)
Control parameters input to the fixed image capturing terminal 6e of the fixed surveillance camera device 6 (fixed surveillance camera control parameters)
Control parameters input to the mobile image capturing terminal 7f of the mobile surveillance camera device 7 (mobile surveillance camera control parameters)
Control parameters input to the sound collection terminal 8b of the sound collection device 8 (sound collection control parameters)
Control parameters input to the device control unit 9e of the odor sensor device 9 (same odor sensor control parameters)
Control parameters input to the indoor environment measuring device 10 (indoor environment measuring control parameters)
Control parameters input to the outdoor environment measuring device 11 (outdoor environment measuring control parameters) The information communication terminal control parameters are composed of information terminal transmission commands for transmitting the measurement values and status values collected by the information communication terminal 4 to the on-site inspection server. The meter reading control parameters are composed of a meter reading command to be issued to the meter reading terminal 5c, and a lighting operation command for causing the meter reading terminal 5c to output a lighting control signal to control the turning on/off of the lighting 5b.

The fixed surveillance camera control parameters are composed of a fixed camera shooting command that commands the fixed image shooting terminal 6e to shoot with the cameras 6a and 6b, a lighting operation command that causes the fixed image shooting terminal 6e to output a lighting control signal to operate the lighting 6c, and a fixed camera operation list.

The fixed camera operation list is a list of multiple fixed camera operation parameters created in advance, and the fixed camera operation parameters include various data such as observation location labels, camera pan angles, camera tilt angles, and visible camera zoom values. In addition, the fixed camera operation list is transmitted in advance from the on-site inspection server 12 to the fixed image capture terminal 6e before the system 1 performs a maintenance inspection operation, and is stored in the terminal 6e.

The mobile surveillance camera control parameters are composed of a mobile camera shooting command that commands the mobile image shooting terminal 7f to take pictures using the cameras 7a and 7b, a lighting operation command that causes the mobile image shooting terminal 7fe to output a lighting control signal to operate the lighting 7c, and a mobile camera operation list.

The mobile camera operation list is a list of multiple mobile camera operation parameters created in advance, and the mobile camera operation parameters include various data such as observation location labels, camera pan angles, camera tilt angles, and visible camera zoom values. In addition, the mobile camera operation list is transmitted in advance from the on-site inspection server 12 to the mobile image capture terminal 7f before the system 1 performs a maintenance inspection operation, and is stored in the terminal 7f.

The acoustic collection control parameters consist of an acoustic collection command that controls the collection of acoustic signals by the acoustic collection terminal 8b, and an acoustic collection time that indicates the time for collecting acoustic signals. This acoustic collection time is transmitted from the on-site inspection server 12 to the acoustic collection terminal 8b in advance before the pre-pre-system 1 performs a maintenance inspection operation, and is stored in the terminal 8b.

The olfactory sensor control parameters consist of an odor inspection command to the device control unit 9e and the operating parameters of the olfactory sensor 6c. These operating parameters are used when operating the solenoid valves 9A, 9B and the pump 9d. The operating parameters are transmitted from the on-site inspection server 12 to the device control unit 9e in advance before the system performs a maintenance inspection operation, and are stored in the control unit 9e.

The indoor environment measurement control parameters are composed of indoor environment measurement commands that collect and organize indoor environment information and transmit it to the on-site inspection server 12. The control parameters for the outdoor environment measurement device 11 are composed of outdoor environment measurement commands that collect and organize outdoor environment information and transmit it to the on-site inspection server 12.

(2) Analysis parameters The analysis parameters will be described with reference to Fig. 16. Here, the following parameters are used as the analysis parameters.

Analysis parameters input to the meter reading terminal 5c of the meter reading device 5 (meter reading analysis parameters in FIG. 16)
Analysis parameters input to the sound collection terminal 8b of the sound collection device 8 (same sound analysis parameters)
Analysis parameters input to the data analysis unit 9f of the odor sensor device 9 (same odor sensor analysis parameters)
The meter reading analysis parameters are configured by data analysis parameters for analyzing an image and reading a meter indication value, for example, by a method such as that described in Patent Document 1. The meter reading analysis parameters are transmitted in advance from the on-site inspection server 12 to the meter reading terminal 5c before the system 1 performs a maintenance inspection operation, and are stored in the terminal 5c.

The acoustic analysis parameters are composed of data analysis parameters for analyzing acoustic signals by a method such as that described in Non-Patent Document 4, and determining the presence or absence of abnormal sounds and their levels. The acoustic analysis parameters are transmitted from the on-site inspection server 12 to the acoustic collection terminal 8b in advance before the system 1 performs a maintenance inspection operation, and are stored in the terminal 8b.

The olfactory sensor analysis parameters are used to analyze the olfactory sensor signal from the olfactory sensor and determine the presence or absence of an abnormal odor using a support vector machine. The presence or absence of an abnormal odor is mainly determined by the presence or absence of an oily odor or a burnt odor, and the learning parameters of the support vector machine required for each judgment are stored separately within the olfactory sensor analysis parameters.

In addition, the olfactory sensor analysis parameters are transmitted from the on-site inspection server 12 to the olfactory sensor device 9 before the system performs a maintenance inspection operation, and are stored in the data analysis unit 9f of the device 9.

<Example of operation>
An example of the operation of each of the inspection devices 4 to 12 will now be described.

(1) Information communication terminal 4
An example of the operation of the information communication terminal 4 will be described with reference to FIG.

S01, S02: When starting operation, the information communication terminal 4 checks whether it has received control parameters (information terminal transmission command) from the on-site inspection server 12 (S01). If the result of this check is that the information terminal transmission command has not been received, the device is stopped (S02) and processing ends.

S03 to S05: If the result of checking in S01 is that an information terminal transmission command has been received, the measurement values and status values collected in the control panel 20 from the built-in sensors of each piece of electrical equipment 30 are collected (S03), and the collected measurement values and status values are transmitted to the on-site inspection server 12 (S04). If the next control parameter has not been received thereafter (S05), proceed to S02, shut down the device, and end the process.

(2) Meter reading device 5
An example of the operation of the meter reading device 5 will be described with reference to FIG.

S11: When starting operation, the meter reading terminal 5c checks whether a meter reading instruction has been received from the on-site inspection server 12.

S12, S13: If the result of checking in S11 is that a meter reading command has not been received, the device is stopped (S12) and the process ends. On the other hand, if a meter reading command has been received, the reception of a lighting operation command is confirmed (S13).

S14: If the result of checking in S13 is that a lighting operation command has not been received, the camera 5a photographs the meter without turning on the lighting 5b, and the process proceeds to S20.

S15 to S19: If the result of checking in S13 is that a lighting operation command has been received, a lighting control signal ON is output (S15) and lighting 5b is turned on (S16). After that, the meter is photographed by camera 5a (S17), and after the photographing is completed, a lighting control signal OFF is output (S18) and lighting 5b is turned off (S19), and the process proceeds to S20.

S20 to S23: The captured images from S14 and S17 are stored in the meter reading terminal 5c, and the captured images are analyzed according to the meter reading analysis parameters to perform meter reading. The meter indication value read here and the captured images stored above are transmitted to the on-site inspection server 12 (S21, S22). If the next meter reading command has not been received (S23), the process proceeds to S12, where the device is stopped and the process ends.

(3) Fixed camera device 6
An example of the operation of the fixed camera device 6 will be described with reference to FIG.

S31, S32: The fixed image capturing terminal 6e checks whether or not a fixed camera capturing command has been received at the start of operation (S31). If the result of the check is that a fixed camera capturing command has not been received, the device is stopped (S32) and processing ends.

S33 to S35: If the result of checking in S31 is that a fixed camera shooting command has been received, the fixed camera operation parameters are read out sequentially from the fixed camera operation list (S33).

In accordance with the fixed camera operation parameters read out here, a camera platform control signal is output to adjust the angle of the camera platform 6d, thereby controlling the shooting direction of each camera 6a, 6b (S34), and then it is confirmed whether a lighting operation command has been received (S35).

S36, S37: If the result of checking S35 is that a lighting operation command has not been received, the lighting 6c is not turned on, and visible light images and infrared images of the inspection target equipment 20, 30 are taken by each camera 6a, 6b, and each of the captured images is temporarily stored in the memory (RAM) of the fixed image capture terminal 6e.

S38 to S43: If the result of checking S35 is that a lighting operation command has been received, a lighting control signal ON is output (S38) and the lighting 6c is turned on (S39). After that, visible light images and infrared images of the inspection target equipment 20, 30 are taken by each camera 6a, 6b (S40, S41), and each of the captured images is temporarily stored in the memory (RAM) of the fixed image capture terminal 6e. After this capture, a lighting control signal OFF is output (S42) and the lighting 6c is turned off (S43).

S44 to S47: The images captured in S36, S37, S40, and S41 are all read from the memory (S44) and transmitted to the on-site inspection server 12 (S45, S46). If the next fixed camera capture command has not been received (S47), the process proceeds to S32, where the device is shut down and the process ends.

(4) Mobile camera device 7
An example of the operation of the mobile camera device 7 will be described with reference to FIG.

S51, S52: The mobile image capture terminal 7f checks whether or not a mobile camera capture command has been received at the start of operation (S51). If the result of the check is that a mobile camera capture command has not been received, the device is stopped (S52) and the process ends.

S53 to S55: If the result of checking in S51 is that a mobile camera shooting command has been received, the mobile camera operation parameters are read out sequentially from the mobile camera operation list (S53).

In accordance with the mobile camera operation parameters read out here, a dolly operation signal is first output to the mobile camera dolly controller 7h, which moves the mobile camera dolly 7e along the rails 7g and controls the shooting positions of the cameras 7a and 7b (S54).

Then, a camera-head control signal is output to adjust the angle of the camera-head 7d to control the shooting direction of each camera 6a, 6b (S55), and then it is confirmed whether a lighting operation command has been received (S56).

S57, S58: If the result of checking S56 is that a lighting operation command has not been received, the lighting 7c is not turned on, and visible light images and infrared images of the electrical equipment 30 are taken by each of the cameras 7a and 7b, and the captured images are temporarily stored in the memory (RAM) of the mobile image capture terminal 7f.

S59 to S64: If the result of checking in S56 is that a lighting operation command has been received, a lighting control signal ON is output (S59), and lighting 7c is turned on (S60). After that, visible light images and infrared images of the electrical equipment 30 are taken by each camera 7a, 7b (S61, S62), and the captured images are temporarily stored in the memory (RAM) of the mobile image capture terminal 7f. After this capture, a lighting control signal OFF is output (S63), and lighting 7c is turned off (S64).

S65 to S67: The images captured in S57, S58, S61, and S62 are all read from the memory (S65) and transmitted to the on-site inspection server 12 (S66, S67). If the next fixed camera capture command has not been received (S68), the process proceeds to S52, where the device is shut down and processing ends.

(5) Sound collecting device 8
An example of the operation of the sound collecting device 8 will be described with reference to FIG.

S71, S72: The sound collection terminal 8b checks whether or not a sound collection command has been received at the start of operation (S71). If the result of this check is that a sound collection command has not been received, the device is stopped (S72) and processing ends.

S73 to S79: If the result of checking in S71 is that an acoustic collection command has been received, an acoustic signal for the time period set as the acoustic collection time is acquired from the microphone 8a, recorded, and stored in the acoustic collection terminal 8b. After that, an acoustic analysis of the stored acoustic signal is performed according to the acoustic analysis parameters (S75), and the presence or absence of abnormal sounds around the inspection target equipment 20, 30 and the level of the abnormal sounds are determined and organized as abnormal sound data (S76).

The abnormal sound data organized here and the stored acoustic signal are sent to the on-site inspection server 12 (S77, S78). If the next acoustic collection command is not received (S79), the process proceeds to S72, where the device is stopped and the process ends.

(6) Odor sensor device 9
An example of the operation of the odor sensor device 9 will be described with reference to FIG.

S81, S82: The device control unit 9c checks whether an olfactory test command has been received at the start of operation (S81). If the result of this check is that an olfactory test command has not been received, the device is stopped (S82) and processing ends.

S83 to S87: If the result of checking in S81 is that an olfactory test command has been received, the device control unit 9e outputs valve opening and closing degrees A and B to the solenoid valves 9A and 9B according to the olfactory sensor operation parameters, outputs control parameters to the pump 9d, draws gas into the pump, and causes the olfactory sensor 9c to measure the olfactory sensor signal (S83).

The odor sensor signal measured here is output to the data analysis unit 9f, which analyzes the odor sensor signal according to the odor sensor parameters (S84). At this time, the data analysis unit 9f determines in parallel whether there is an oily odor and a burnt odor (S84a, S84b).

The analysis results are organized as odor data around the equipment 20, 30 to be inspected (S85), and the organized odor data is sent to the on-site inspection server 12 (S86). If the next odor inspection command has not been received (S87), the process proceeds to S82, the device is stopped, and the process ends.

(7) Indoor environment measuring device 10
An example of the operation of the indoor environmental device 10 will be described with reference to FIG.

S91, S92: The indoor environment device 10 checks whether or not an indoor environment measurement command has been received at the start of operation (S91). If the result of this check is that an indoor environment measurement command has not been received, the device is stopped (S92) and processing ends.

S93 to S96: If the result of checking in S91 is that an indoor environment measurement command has been received, the temperature, humidity, and CO gas intensity around the control panel 20 are measured using the thermometer 10a, hygrometer 10b, and CO gas sensor 10c (S93).

The measured information is organized as indoor environment data (S94), and the organized indoor environment data is sent to the on-site inspection server 12 (S95). If the next indoor environment measurement command has not been received (S96), the process proceeds to S92, where the device is shut down and the process ends.

(8) Outdoor environment measuring device 11
An example of the operation of the outdoor environment measuring device 11 will be described with reference to FIG.

S101, S102: The outdoor environment device 11 checks whether or not an outdoor environment measurement command has been received at the start of operation (S101). If the result of this check is that an outdoor environment measurement command has not been received, the device is stopped (S102) and processing ends.

S103 to S106: If the result of checking in S101 is that an outdoor environment measurement command has been received, the temperature, humidity, CO gas intensity, wind speed, and wind direction around the electrical equipment 30 are measured using the thermometer 11a, hygrometer 11b, CO gas sensor 11c, and anemometer 11d (S103).

The measured information is organized as outdoor environment data (S104), and the organized outdoor environment data is sent to the on-site inspection server 12 (S105). If the next outdoor environment measurement command has not been received (S106), the process proceeds to S102, where the device is shut down and the process ends.

(9) On-site inspection server 12
An example of the operation of the site inspection server 12 will be described with reference to FIG.

After starting operation, the on-site inspection server 12 operates the inspection function units (various settings function unit 40, inspection schedule management function unit 50, data collection and recording function unit 60, overall solution function unit 70, and inspection report creation function unit 80) in parallel (S111).

When all the operational processes of the functional units 40 to 80 have been completed, the device is shut down and operation is stopped (S112). On the other hand, if all the processes have not been completed, the processing of the functional units 40 to 80 continues.

The remote monitoring terminal 13 can access the on-site inspection server 12 via the network and remotely use the various setting function units 40 of the on-site inspection server 12.

<Details of inspection function units 40 to 80>
(1) Various setting function section 40
Details of the various setting function unit 40 will be described with reference to Fig. 26. Here, the various setting function unit 40 displays, on a Web browser, an inspection setting screen 90 that can be accessed and operated from the on-site inspection server 12/remote monitoring terminal 13. That is, when a maintenance inspector selects an inspection setting screen 90 on the Web browser (S120), the corresponding inspection setting screen 90 is called up (S121).

In this embodiment, the inspection setting screen 90 includes various screens, such as a control parameter setting screen 90a, an analysis parameter setting screen 90b, an inspection schedule management screen 90c, an inspection data viewing screen 90d, and an inspection report creation screen 90e.

Then, the user, performing maintenance inspection, etc., performs operations such as viewing and inputting settings on each of the inspection screens 90a to 90e (S122). When the user has finished viewing and operating, he or she closes the inspection setting screen 90 (S123), and the operation processing of the various setting function unit 40 ends.

(2) Inspection Schedule Management Function Unit 50
The inspection schedule management function unit 50 constantly monitors the inspection schedule of each of the inspection devices 4 to 11. To explain the operation process based on Fig. 27, at the start of the operation, it is confirmed whether the time on the clock 91 of the on-site inspection server 12 is the inspection time (S131), and if it is not the inspection time, the process proceeds directly to S132.

On the other hand, if it is time for inspection, the control parameters of the information terminal transmission command, meter reading command, fixed camera shooting command, mobile camera shooting command, sound collection command, odor inspection command, indoor environment measurement command, and outdoor environment measurement command are set to "Yes" to activate them, and the respective control parameters are sent to each inspection device 4 to 11, and the process proceeds to S132.

In S132, it is confirmed whether or not an instruction to stop inspection has been issued from the remote monitoring terminal 13, and if no such instruction has been issued, the system waits until the next inspection time. On the other hand, if an instruction has been issued, the operation process is terminated.

(3) Data collection and recording function unit 60
The data collection and recording function unit 60 organizes the inspection data received from each of the inspection devices 4 to 11 and stores it in an inspection record database. That is, as shown in Fig. 28, the data collection and recording function unit 60 checks receipt of inspection data at the start of operation (S141), and if no inspection data has been received, proceeds directly to S142.

On the other hand, if inspection data has been received, the received inspection data is organized (S143), the organized inspection data is stored in the inspection record database (S144), and the process proceeds to S142. In S142, it is confirmed whether or not an instruction to stop inspection has been issued from the remote monitoring terminal 13, and if not, the process returns to S141 to continue the operation process. On the other hand, if an instruction has been issued, the operation process ends.

The configuration of the inspection database will be explained below with reference to Figure 29. This inspection database records each inspection data for each inspection date and time, and is configured as a data string that compiles information on the inspection devices 4 to 11, the equipment to be inspected 20, 30, the observation point label, the inspection data, the inspection data status, and the confirmation status.

The inspection equipment column records the classification of the information communication terminal 4, meter reading device 5, fixed surveillance camera device 6, mobile surveillance camera device 7, acoustic collection device 8, olfactory sensor device 9, indoor environment measuring device 10, outdoor environment measuring device 11, and on-site inspection server 12 that measure and analyze the inspection data. In Figure 29, one of each of the inspection equipment groups 4 to 11 is shown as 4-1 to 11-1.

The inspection target equipment column records the classification of the electrical equipment 30 or control panel 20, and in FIG. 29, a control panel 20-1 and electrical equipment 30-1 are shown as examples. At this time, the indoor/outdoor classification is recorded for the acoustic collection device 8, olfactory sensor device 9, indoor environment measuring device 10, and outdoor environment measuring device 11. Note that the field for the on-site inspection server is left blank.

The observation location label column records the names of measurement values such as current and voltage values for the information communication terminal. Additionally, for the meter reading device 5, fixed surveillance camera device 6, and mobile surveillance camera device 7, observation locations such as the oil level gauge, top of the transformer, and left part of the circuit breaker are recorded. Furthermore, for the sound collection device 8, olfactory sensor device 9, indoor environment measuring device 10, and outdoor environment measuring device 11, the installation location of each inspection device 8-10, such as one indoor location or one outdoor location, is recorded. Note that for the on-site inspection server 12, the type of comprehensive analysis, such as abnormal sound distribution estimation and abnormal odor distribution estimation, which will be described later, is recorded.

The inspection data column records the inspection data (measurement values, meter indication values, etc.) received from each inspection device 4 to 11. The inspection data status column records the inspection data status value of undetermined, normal, or abnormal for the state of the inspection data. However, when the on-site inspection server 12 operates the data collection and recording function unit 60, the inspection data status value is set to undetermined.

The confirmation status column records the confirmation status value of whether the inspection data has been confirmed by the maintenance personnel or not. However, when the on-site inspection server 12 operates the data collection and recording function unit 60, the confirmation status value is set to "not confirmed."

(4) Comprehensive analysis function unit 70
The overall analysis function unit 70 starts its operation after the on-site inspection server 12 starts the data collection and recording function unit 60. Explaining with reference to Fig. 30, when the operation process of the overall analysis function unit 70 starts, it sequentially executes the operation processes of inspection data threshold determination (S151), inspection data state determination (S152), abnormal sound distribution estimation (S153), and abnormal odor distribution estimation (S154).

Then, it is checked whether or not an instruction to stop the inspection has been issued from the remote monitoring terminal 13. If no instruction has been issued, the operation process of S151 to S154 is repeated. On the other hand, if an instruction has been issued, the operation process is terminated. The details of the operation process of S151 to S154 are explained below.

S151: In the inspection data threshold judgment, it is confirmed whether the measurement value (inspection data) collected by the information communication terminal 4 is within the tolerance range between the pre-set upper and lower limits. If the result of the confirmation is that it is within the tolerance range, the inspection data status of the inspection data is set to normal, whereas if not, the inspection data status is set to abnormal.

It also checks whether the meter reading (inspection data) collected by the meter reading device 5 is within the tolerance range between the preset upper and lower limits. If the check results in a value within the tolerance range, the inspection data status value of the inspection data is set to normal, whereas if not, the inspection data status is set to abnormal. At this time, the inspection data status value of the photographed image of the meter that accompanies the meter reading is also set to the same inspection data status value as the meter reading.

Furthermore, the infrared images (inspection data) collected by the fixed monitoring camera device 6 are checked, and if any areas are found to have a temperature above a preset maximum temperature, it is determined that abnormal heating has occurred and the inspection data status value of that inspection data is set to abnormal. On the other hand, if not, the inspection data status value is set to normal.

Similarly, the infrared images (inspection data) collected by the mobile surveillance camera device 7 are checked, and if any areas are found to have a temperature above a preset maximum temperature, it is determined that abnormal heating has occurred and the inspection data status value of that inspection data is set to abnormal. On the other hand, if not, the inspection data status value is set to normal.

S152: In judging the inspection data status, first, the status value (inspection data) such as "ON"/"OFF" collected by the information communication terminal 4 is compared with the operation status value for the correct status value when the electrical equipment 30 is in operation. If the comparison result is correct, the inspection data is set to normal, whereas if not, the inspection data status value is set to abnormal.

Next, if the abnormal sound data (inspection data) from the sound collecting device 8 indicates the presence of an abnormal sound, the inspection data status value of the inspection data is set to abnormal, whereas if not, the inspection data status value is set to normal.

However, for abnormal sound data that has been set to abnormal, a check is made to see if the abnormal sound level is within the tolerance range between the pre-set upper and lower limits. If the check finds that the abnormal sound level is within the tolerance range, the inspection data status value of that inspection data is updated to normal. On the other hand, if not, the inspection data status remains set to abnormal.

In addition, if the odor data (inspection data) from the odor sensor device 9 indicates that there is an "oil smell", the inspection data status of the inspection data is set to abnormal, whereas if not, the inspection data status is set to normal. Similarly, if the odor data (inspection data) indicates that there is a "burnt smell", the inspection data is set to abnormal, whereas if not, the inspection data status is set to normal.

S153: The process of estimating abnormal sound distribution (S153) will be explained with reference to FIG. 31. First, after the operation process starts, the installation location of the sound collection device 8 is plotted on the layout diagram of the electrical equipment 30 (S161). Next, a circle of a size according to the abnormal sound level of the abnormal sound data is drawn with the plotted installation location as its center (S162), and an abnormal sound distribution estimation diagram is created. The circle in this abnormal sound distribution estimation diagram is called the abnormal sound estimation circle.

Then, electrical equipment in the vicinity of the abnormal noise estimation circle is listed as abnormal noise generating equipment (S163). The abnormal noise generating equipment list and the abnormal noise distribution estimation map are organized as abnormal noise distribution estimation results and stored in the inspection record database (S164).

Figure 32 shows an example of an abnormal sound distribution estimation diagram, with electrical equipment 30-1 and electrical equipment 30-2 described in the abnormal sound generation equipment watch list. In this way, if there is an abnormal sound anywhere around the equipment 20, 30 to be inspected, the inspection data status value of these inspection data is set to abnormal, otherwise the inspection status value is set to normal (S165) and the operation process ends.

S154: The off-odor distribution estimation (S154) will be explained with reference to FIG. 33. First, after the operational process starts, the installation location of the olfactory sensor device 9 is plotted on the layout diagram of the electrical equipment 30 (S171). Next, indoors (inside the electrical room), a circle of a predetermined indoor off-odor size is drawn with the installation location as its center (S172), and an off-odor distribution estimation diagram is created.

On the other hand, outdoors, the estimated outdoor odor center is determined (S173) based on the wind speed and direction measured by the outdoor environment measuring device 11 installed in the same location (see FIG. 14) as the plotted olfactory sensor device 9. Based on this estimated outdoor odor center, a circle of a predetermined outdoor odor size is drawn (S174), and an estimated odor distribution map is created.

The circles in the off-odor distribution estimation map (S172, S174) created here are called off-odor estimation circles. When creating the off-odor distribution estimation map, the off-odor noise estimation circles due to oily odors and the off-odor noise estimation circles due to burnt odors are shown in different colors based on the off-odor data.

In addition, if the CO gas sensor strength of the outdoor environment measuring device 11/indoor environment measuring device 10 (see Figures 13 and 14) installed at the same installation location as the plotted olfactory sensor device 9 is greater than a preset allowable CO gas sensor strength, the off-odor estimation circle is displayed in a different color. Furthermore, if abnormalities are found in both the burnt odor and the CO gas sensor strength, the off-odor estimation circle is displayed in yet another color.

At this time, if any heating occurs in the structure of the electrical equipment 30 or the control panel 20, the olfactory sensor device 9 will react, and as the temperature of the structure increases and it approaches combustion, CO gas will be generated. Therefore, by coordinating the outputs of the olfactory sensor device 9 and the CO gas sensor 10c, it is expected that the accuracy of detecting abnormal heating occurring in the electrical equipment 30 or the control panel 20 can be improved.

After that, electrical equipment in the vicinity of the estimated odor circle is listed as equipment to watch out for generating abnormal odors (S175). Figure 34 shows an example of an estimated odor distribution map, where electrical equipment 30-1 and 30-2 outdoors are listed in the list of equipment to watch out for generating abnormal odors, while control panels 20-1 and 20-2 indoors (inside the electrical room) are listed in the same list.

The list of equipment to beware of foul odor generation and the foul odor distribution estimation map are organized as foul odor distribution estimation results and saved in the inspection record database (S176). In this way, if there is an foul odor anywhere around the equipment 20, 30 to be inspected, the inspection data status value of this inspection data is set to abnormal, otherwise the inspection status value is set to normal (S177), and the operation process ends.

(5) Inspection result report creation function unit 80
The operation process of the inspection report creation function unit 80 will be described with reference to Fig. 35. When the operation process is started, the inspection report creation function unit 80 reads each inspection data for the specified inspection date and time from the inspection record database (S181), organizes it into an inspection report, and outputs it as a file (S182, S183). For example, if the output destination of the inspection report is set to a printer, the inspection report is output to the printer and printed on paper, and the process ends.

<Daily inspection example>
An example of daily inspection of the inspection target facilities 20, 30 according to this embodiment will be described. On the inspection schedule management screen 90c of the remote monitoring terminal 13, the inspection time interval is preset to, for example, two hours, and the inspection time is automatically registered in the inspection schedule at the set inspection time interval. As an example, the inspection schedule for up to one month in advance is automatically registered.

The inspection schedule is not limited to the automatic registration described above; inspection times can also be added, changed, or deleted manually. Collection of inspection data for the equipment to be inspected 20, 30 is carried out by the inspection devices 4 to 11 automatically operating according to the inspection schedule.

(1) During daily inspections, a maintenance inspector accesses the on-site inspection server 12 via the network using the remote monitoring terminal 13, and remotely uses the various setting function unit 40 of the on-site inspection server 12 to view the inspection schedule management screen 90c.

The inspection schedule management screen 90c displays a monthly schedule, as shown in FIG. 36(a). For each date in this monthly schedule, the inspection work status of "Inspected", "Confirmed", "Inspection reservation", and "Abnormal" is displayed. In this display, "Inspected" indicates a state in which inspection data has been collected at all inspection times on the date, "Confirmed" indicates a state in which inspection has been completed and inspection data at some inspection time on this day has been confirmed by a maintenance inspector, "Inspection reservation" indicates a state in which an inspection time has been registered but inspection data has not been collected, and "Abnormal" indicates a state in which inspection data could not be collected at some inspection time on the date due to a malfunction of inspection devices 4 to 11 or other reasons.

When you specify a date for the monthly schedule, the daily schedule will be displayed as shown in Figure 36 (b). This daily schedule displays the status of each inspection operation for each inspection time: "Inspected", "Confirmed", "Inspection scheduled", and "Abnormal".

(2) Daily inspection work is performed by the maintenance inspector specifying the inspection time on the daily schedule and operating the inspection data viewing confirmation screen 90d to check the inspection data of each inspection device 4 to 11. At this time, the inspection data for the specified inspection date and time is read from the inspection record database, organized, and displayed on the inspection data viewing confirmation screen 90d, as shown in FIG. 37.

In the inspection record database, the following items are displayed for each inspection device 4-11: (a) the equipment 20, 30 to be inspected, (b) observation location label, (c) reference information, (d) inspection data, (e) inspection data status, and (f) confirmation status. Here, the equipment to be inspected indicates the control panel 20 and electrical equipment 30, and the observation location label indicates the previously set observation locations (current value, voltage value, oil level gauge, observation location, outdoor location, indoor location) of the equipment 20, 30 to be inspected.

Reference information displayed may include, for example, upper and lower limits for the inspection data measurement values, operational status values for the inspection data status values, past information on visible light images and infrared images (e.g., photographic results from one month ago), and past information on environmental measurements such as temperature and humidity, CO gas sensor strength, wind speed, and wind direction (e.g., measurement results from one month ago).

The inspection data status value indicates the status value output as a result of the comprehensive analysis of each inspection data by the comprehensive analysis function unit 70 of the on-site inspection server 12. Furthermore, the confirmation status indicates the confirmation status of the inspection data, etc. by the maintenance inspector.

For inspection data consisting of data strings such as visible light images, infrared images, acoustic signals (graphs), estimated abnormal sound distribution maps, list of equipment that generates abnormal sounds, estimated abnormal odor distribution maps, and list of equipment that generates abnormal odors, reduced images are displayed on the inspection data viewing confirmation screen 90d. In addition, when each of the above items is selected from the inspection data viewing confirmation screen 90d, a detailed inspection data viewing confirmation screen 90f is displayed with only the selected item, as shown in FIG. 38.

(3) The maintenance inspector views the inspection data viewing confirmation screen 90d and the detailed inspection data viewing confirmation screen 90f to confirm the validity of the inspection data status value for each item, and when the confirmation is complete, sets the confirmation status of the corresponding item to "confirmed."

At this time, for the images (visible light images and infrared images), temperature, humidity, CO gas sensor strength, wind speed, wind direction, etc., for which inspection data status values are not set in the comprehensive analysis function unit 70 of the on-site inspection server 12, the maintenance inspector looks at each piece of inspection data, judges the inspection data status, and sets the inspection data status value.

In addition, even if the inspection data status value has already been set in the comprehensive analysis function unit 70 of the on-site inspection server 12, it is possible for the maintenance inspector to change it at his/her discretion, and furthermore, the maintenance inspector is to enter his/her impressions obtained after checking the inspection data in the remarks column.

Then, when the maintenance inspector sets the confirmation status for all items and closes the inspection data viewing confirmation screen 90d, the inspection work status for the corresponding time in the daily schedule is set to "confirmed." This also sets the inspection work status for the corresponding date in the monthly schedule to "confirmed."

Display items on the inspection data viewing confirmation screen 90d for inspection dates and times that have been "confirmed" can be output as an inspection report by the inspection result report creation function unit 80. If necessary, the maintenance inspector can specify the inspection date and time to be output, and output the inspection report to a file or printer.

Therefore, according to this embodiment, all daily inspection work, including checking for abnormal odors, which has traditionally relied on human senses, can be measured automatically, making it possible to perform maintenance and inspection work remotely without the need for maintenance and inspection personnel to visit the site.

At this time, a maintenance inspector can take into consideration the strange odor data from the odor sensor device 9 and the images captured by the visible light cameras 6a and 7a (to confirm oil leaks) to achieve highly reliable confirmation of oily odors. In addition, a maintenance inspector can take into consideration the strange odor data from the odor sensor device 9, the CO gas sensor intensity, and the infrared images from the infrared cameras 6b and 7b (to confirm abnormal heating) to achieve highly reliable confirmation of burning odors.

A second embodiment of the system 1 will be described with reference to Figures 39 to 43. In this embodiment, olfactory level detection is added to the system 1.

In the first embodiment, the data analysis unit 9f of the olfactory sensor device 9 determines in parallel whether there is an oily odor and whether there is a burnt odor when analyzing the olfactory sensor signal. In this regard, the data analysis unit 9f in this embodiment also detects the oily odor level and the burnt odor level in parallel when analyzing the olfactory sensor signal.

Specifically, as shown in FIG. 39, oily odor level detection (S200a) and burnt odor level detection (200b) have been added to the odor sensor signal analysis (S84) of the data analysis unit 9f.

(2) Oil odor level detection The oil odor level detection (S200a) will be explained with reference to Fig. 40. In this oil odor level detection, the oil odor level is obtained according to the concentration of the oil odor gas. Here, three learning samples with different concentrations (oil odor levels 1 to 3) are prepared in advance as learning samples for the oil odor, and a support vector machine is trained for each concentration to create olfactory sensor analysis parameters in advance.

When oil odor level detection begins, the olfactory sensor signal measured in S83 is provided to the detectors 500 using support vector machines for each of the oil odor levels 1 to 3, causing each detector 500 to operate in parallel, and it is checked whether all detectors 500 have output "no oil odor" (S201).

If, as a result of the check, all detectors 500 output "no oil odor", the oil odor level is set to "0" (S202). On the other hand, if any detector 500 outputs "oil odor present", the level of the detector 500 with the highest probability value of being the output of the detector 500 is set as the oil odor level (S203). At this time, among the detectors 500 that output "oil odor present", the oil odor level of the detector 500 with the highest concentration may be set.

Then, the process proceeds to S84a to determine whether or not there is an oily odor. In S84a, if the "oil odor level" in S202 is "0", it is determined that there is no oily odor, otherwise it is determined that there is an oily odor.

(3) Burning odor level detection Burning odor level detection (S200b) will be described in detail with reference to Fig. 41. In this burning odor level detection, the burning odor level is determined according to the concentration of the burning odor gas. Here, three learning samples with different concentrations (burning odor levels 1 to 3) are prepared as learning samples for the burning odor, and a support vector machine is trained for each concentration to create olfactory sensor analysis parameters in advance.

When the burnt odor level detection starts, the olfactory sensor signal measured in S83 is provided to the detectors 600 using the support vector machines for each burnt odor level 1 to 3, causing each detector 600 to operate in parallel, and it is confirmed whether all detectors 600 have output "no burnt odor" (S301).

If, as a result of the check, all detectors 600 output "no burning odor", the burning odor level is set to "0" (S302). On the other hand, if any detector 600 outputs "burning odor present", the level of the detector 600 with the highest probability value of being the detector 600 output is set as the off-odor level (S303). At this time, among the detectors 600 that output "burning odor present", the burning odor level of the detector 600 with the highest concentration may be set.

Then, the process proceeds to S84b to determine whether or not there is a burning odor. In S84b, if the burning odor level in S302 is "0", it is determined that there is no burning odor, otherwise it is determined that there is a burning odor.

(3) Abnormal sound distribution estimation The off-odor distribution estimation performed by the on-site inspection server 12 in this embodiment, in addition to the off-odor distribution estimation of embodiment 1, displays the oily odor level/burnt odor level in text within an off-odor estimation circle (S400) as shown in Fig. 42. Fig. 43 shows an off-odor distribution estimation diagram according to this embodiment, with "Level 2" displayed in the outdoor off-odor estimation circle and "Level 1" displayed in the indoor (electrical room) off-odor estimation circle.

In this way, according to this embodiment, in addition to the effects of embodiment 1, information on the oily odor level and burnt odor level is added, so that the maintenance and inspection personnel can improve their understanding of the state of the odor generation at the site. In addition, since a quantitative record of the odor can be kept, the accumulated inspection records can be effectively used.

A second embodiment of the system 1 will be described with reference to Figures 44 to 46. Here, the on-site inspection server 12 of the system 1 is added with the processing of an inspection data time series analysis function unit 95, as shown in Figure 44.

That is, the inspection data time series analysis function unit 95 creates and displays an inspection data time series graph in which each piece of inspection data, namely, the measurement values and status values collected by the information communication terminal 4, the meter indication value collected by the meter reading device 5, the indoor environment data collected by the indoor environment measuring device 10, and the outdoor environment data collected by the outdoor environment measuring device 11, are plotted in time series.

To explain based on FIG. 45, by selecting inspection data (measurement values and status values, meter indication value, indoor environmental data, and outdoor environmental data) on the inspection data viewing confirmation screen 90d, processing by the inspection data time series analysis function unit 95 is started.

At the start of processing, a check is made to see if a graph display period for the inspection data time series graph has been specified (S501). If a period has been specified, the graph display period is set to the specified period (S502), whereas if no period has been specified, the graph display period is set to the past month (S503).

Then, the inspection data (measurement values and status values, meter indication value, indoor environmental data, and outdoor environmental data) for the graph display period of S502 and S503 is read from the inspection record database (S503), a time series data graph is created (S504), and the graph is displayed on the detailed inspection data viewing screen 105 shown in FIG. 46 (S505), and the process ends.

At this time, the period to be displayed on the time series graph can be set and changed on the detailed inspection data viewing screen 105. According to this embodiment, in addition to the effects of the first and second embodiments, the maintenance and inspection personnel can easily check the time series changes in the condition of the electrical equipment 30 by viewing the time series data graph.

LIST OF SYMBOLS 1...Electrical equipment remote comprehensive inspection system 4...Information and communication terminal 5...Meter reading device 5a...Camera 5b, 6c, 7c...Lighting 5c...Meter reading device 6...Fixed surveillance camera device 6a, 7a...Visible light camera 6b, 7b...Infrared camera 6d, 7d...Pan head 6e...Fixed image capture terminal 7...Mobile surveillance camera device 7e...Mobile camera dolly 7f...Mobile image capture terminal 7g...Rail 7h...Mobile camera dolly controller 8...Sound collection device 8a...Microphone 8b...Sound collection terminal 9...Olfactory sensor device 9A, 9B...Solenoid valve 9a...NaOH filter 9b...Activated carbon filter 9c...Olfactory sensor 9d...Pump 9e...Device control unit 9f...Data analysis unit 10...Indoor environment measuring device 10a, 11a...Thermometer 10b, 11b...Hygrometer 10c, 11c...CO gas sensor 10d... Indoor environment measuring terminal 11... Outdoor environment measuring device 11d... Anemometer 11e... Outdoor environment measuring terminal 12... On-site inspection server 13... Remote monitoring terminal 20... Control panel (equipment to be inspected)
30...Electrical equipment (equipment to be inspected)
40...Various setting function section 50...Inspection schedule management function section 60...Data collection and recording function section 70...General analysis function section 80...Inspection report creation function section 90...Inspection setting screen 90a...Control parameter setting screen 90b...Analysis parameter setting screen 90c...Inspection schedule management screen 90d...Inspection data viewing confirmation screen 90e...Inspection report creation screen 90f...Detailed inspection data viewing confirmation screen 91...Clock 95...Inspection data time series analysis function section 105...Detailed inspection data viewing screen 105
500, 600...detector

Claims (18)

Electrical equipment installed outdoors at the electrical facility;
A control panel installed in an electrical room of the electrical facility;
A system for automatically performing maintenance inspection remotely on a target object,
An information and communication device that is installed on the control panel and acquires measurement values collected by built-in sensors of the electrical equipment and that are collected on the control panel;
a meter reading device that photographs a meter installed in the electrical equipment and reads and acquires the indication value of the meter based on the photographed image;
A surveillance camera device that captures an external view of the inspection target and acquires a captured image;
a sound collecting device that collects sound signals from the surroundings of the inspection target using a microphone and obtains abnormal sound information by determining the presence or absence of abnormal sound and the level of the abnormal sound based on the collected sound signals;
an olfactory sensor device that inhales gas around the inspection target and acquires odor information that diagnoses the presence or absence of an odor based on a sensor signal obtained from the inhaled gas;
an environmental measuring device that measures and acquires environmental information about an environment in which the inspection target is installed;
an on-site inspection server that is installed in the electrical room and organizes and stores information acquired by each of the devices as inspection data;
a remote monitoring device that receives the inspection data organized and stored by the on-site inspection server via a network;
Equipped with
The environment measuring device includes:
An indoor environment measuring device for acquiring environmental information in the electrical room;
an outdoor environment measuring device that acquires information about an outdoor environment in which the electrical equipment is installed;
Equipped with
The indoor environment measuring device acquires temperature information, humidity information, and carbon monoxide gas concentration information in the electric room as the environmental information,
The outdoor environment measuring device acquires the outdoor temperature information, humidity information, carbon monoxide gas concentration information, and wind speed and direction information as the environmental information.
A remote comprehensive inspection system for electrical equipment. The surveillance camera device includes:
A pair of mobile surveillance camera devices arranged on either side of the row of electrical equipment;
A plurality of fixed surveillance cameras arranged in positions surrounding the control panel or the mobile surveillance camera device;
Equipped with
Both of the surveillance camera devices are
a visible light camera that captures and acquires a visible light image of the appearance;
and an infrared camera that captures and acquires an infrared image of the exterior,
2. The electrical equipment comprehensive inspection system according to claim 1, wherein each of said mobile surveillance camera devices is provided with a mobile camera dolly that is movable within a rail installation range. The olfactory sensor device is configured to alternately inhale a gas that has passed through an activated carbon filter and a gas that has not passed through the activated carbon filter, and obtain a sensor signal by:
3. The electrical equipment remote comprehensive inspection system according to claim 1, wherein the presence or absence of an abnormal odor is diagnosed by providing the odor sensor signal of the abnormal odor components to a learned support vector machine in advance. The on-site inspection server,
A setting function unit that provides an inspection setting screen for each of the devices;
an inspection schedule management function unit that monitors the inspection schedule of each of the devices;
a data collection and recording function unit that records the inspection data of each of the devices in a database as a data string;
a comprehensive analysis function unit that judges whether each of the inspection data states is normal or abnormal based on the data strings recorded in the database;
an inspection report creation function unit that reads out and outputs the inspection data for a specified date and time based on the data string after the determination;
3. The electrical equipment remote inspection system according to claim 2, further comprising: the comprehensive analysis function unit confirms whether the measurement value in the data string is within a preset allowable range between an upper limit value and a lower limit value,
If the result of the check is within the allowable range, the inspection data state of the measurement value is determined to be normal;
5. The system according to claim 4 , wherein if the measured value is not within the allowable range, the inspection data state of the measured value is determined to be abnormal. The comprehensive analysis function unit checks whether the guideline value in the data string is within a preset allowable range between an upper limit value and a lower limit value,
If the result of the check is within the allowable range, the inspection data state of the indicator value is determined to be normal;
6. The system for remotely inspecting electrical equipment according to claim 4 , wherein if the indicator value is not within the allowable range, the inspection data state of the indicator value is judged to be abnormal. the comprehensive analysis function unit confirms whether or not there is a location in the infrared image in the data string that is equal to or higher than a preset maximum temperature;
If the result of the check is that there is a location where the temperature is equal to or higher than the maximum temperature, the inspection data state of the infrared image is determined to be abnormal;
The system for remotely inspecting electrical equipment according to any one of claims 4 to 6 , characterized in that if there is no part whose temperature is equal to or higher than the maximum temperature, the state of the inspection data of the infrared image is determined to be normal. The comprehensive analysis function unit checks the abnormal sound data in the data string,
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 7, characterized in that, as a result of the confirmation, if there is no abnormal sound, the inspection data status is judged to be normal, whereas if there is an abnormal sound, the inspection data status is judged to be abnormal. The comprehensive analysis function unit plots the installation locations of the sound collecting devices on a layout diagram of the electrical equipment or a layout diagram of the electrical room,
An abnormal sound distribution estimation map is created by drawing an abnormal sound estimation circle of a size corresponding to the abnormal sound level of the abnormal sound data with the installation location as the center;
creating a list of the electrical equipment or the control panel located in the vicinity of the abnormal noise estimation circle;
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 8, characterized in that the estimated drawing and the list are stored in the database. The comprehensive analysis function unit checks the inspection data in the data string,
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 9, characterized in that, as a result of the check, if no abnormal odor is detected, the inspection data status is determined to be normal, whereas if an abnormal odor is detected, the inspection data status is determined to be abnormal. the comprehensive analysis function unit plots an installation location of the olfactory sensor device on a layout diagram of the electrical room,
A map of estimated odor distribution is created by drawing an estimated odor circle of a predetermined size centered on the installation location,
Create a list of the control panels located near the odor estimation circle;
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 10, characterized in that the estimated diagram and the list are stored in the database. the comprehensive analysis function unit plots an installation location of the olfactory sensor device on a layout diagram of the electrical equipment,
An estimated center is obtained according to the wind speed and wind direction measured by the outdoor environment measuring device at the installation location, and an estimated odor distribution map is created that depicts an estimated odor circle of a predetermined size from the estimated center.
Create a list of the control panels located near the odor estimation circle;
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 10, characterized in that the estimated diagram and the list are stored in the database. The electrical equipment remote comprehensive inspection system according to claim 11 or 12 , characterized in that the comprehensive analysis function unit depicts the peculiar odor estimation circle separately depending on the type of peculiar odor or the carbon monoxide concentration of the environmental information. The information communication device acquires an ON or OFF state value of the equipment,
The comprehensive analysis function unit confirms whether or not the status value in the data string is a correct status value for the equipment being in operation,
The electrical equipment remote comprehensive inspection system according to any one of claims 4 to 13 , characterized in that if the value is correct, the status value is judged to be normal, whereas if the value is not correct, the status value is judged to be abnormal. The olfactory sensor device detects an odor level corresponding to a concentration of an odorous gas based on the sensor signal, and
13. The electrical equipment remote comprehensive inspection system according to claim 11 , wherein the comprehensive analysis function unit assigns the odor level to the odor estimation circle. The olfactory sensor device prepares a plurality of samples having different concentrations in advance, and learns a support vector machine for each concentration,
Detecting the level of the off-odor according to an output result of a detector using a support vector machine corresponding to each concentration amount;
16. The electrical equipment remote comprehensive inspection system according to claim 15 , wherein the presence or absence of an abnormal odor is diagnosed according to the abnormal odor level. The on-site inspection server includes an inspection data time series analysis function unit that creates an inspection data time series graph in which each of the inspection data is plotted in a time series,
The inspection setting screen includes an inspection data viewing confirmation screen on which the inspection data time series graph can be viewed,
The viewing confirmation screen has a detailed inspection data viewing confirmation screen that displays only the selected arbitrary inspection data,
17. The electrical equipment remote comprehensive inspection system according to claim 4 , wherein the detailed inspection data viewing confirmation screen displays a time series graph of the inspection data for a specified period. Electrical equipment installed outdoors at the electrical facility;
A control panel installed in an electrical room of the electrical facility;
A method for performing a remote and automatic maintenance inspection system for an inspection target, comprising:
An information communication device installed in the control panel acquires measurement values by built-in sensors of the electrical equipment collected in the control panel;
taking an image of a meter installed in the electrical equipment by a meter reading device, and reading and acquiring the indication value of the meter based on the image taken;
A step of photographing an external view of the inspection target by a surveillance camera device and acquiring a photographed image;
a step in which an acoustic collection device collects acoustic signals around the inspection target using a microphone, and obtains abnormal sound information by determining the presence or absence of abnormal sound and the level of the abnormal sound based on the collected acoustic signals;
an olfactory sensor device inhaling gas around the inspection target and acquiring abnormal odor information diagnosing the presence or absence of an abnormal odor based on a sensor signal obtained from the inhaled gas;
measuring and acquiring information about an environment in which the inspection target is installed by an environment measuring device;
An on-site inspection server installed in the electrical room organizes and stores the acquired information of each of the devices as inspection data;
providing the inspection data organized and stored by the on-site inspection server to a remote monitoring device via a network;
having
The environment measuring device includes:
An indoor environment measuring device for acquiring environmental information in the electrical room;
an outdoor environment measuring device that acquires information about an outdoor environment in which the electrical equipment is installed;
Equipped with
The step of measuring and acquiring the environmental information includes:
acquiring temperature information, humidity information, and carbon monoxide gas concentration information in the electric room as the environmental information by the indoor environment measuring device;
acquiring outdoor temperature information, humidity information, carbon monoxide gas concentration information, and wind speed and direction information as the environmental information by the outdoor environment measuring device;
A method for remotely inspecting electrical equipment comprising the steps of: