JP7441730B2 - Information processing device, information processing method, and computer program - Google Patents

Description

The present technology relates to an information processing device, an information processing method, and a computer program.

A control device that monitors and controls devices captures each motion detection signal output from the device that is being monitored and controlled, and also captures the values of each captured motion detection signal, the values of various setting data, etc. Based on this, control signals are generated to control each device.

In such a control device, information such as the driving trend, operation history, and abnormality history is displayed on the display device while updating the driving trend data and operation history data based on each motion detection signal outputted from the device. This information is displayed on a screen including the date and time, the number of times, a graph of numerical changes, etc. (see, for example, Patent Document 1).

JP2019-139625A

However, the method of Patent Document 1 has a problem in that it is not easy for the user to understand the status of the device from the control results displayed in numerical values and graphs.

An object of the present disclosure is to provide an information processing device or the like that outputs screen information that allows the operating status of equipment to be visually recognized.

An information processing device according to an aspect of the present disclosure includes: a derivation unit that derives the operating status of a device; a storage unit that stores the driving status derived by the derivation unit; a generation unit that generates screen information including character information in which the size of characters representing the driving situation is varied according to the number of occurrences of the driving situation based on the driving situation; and the screen information generated by the generation unit. and an output section that outputs.

An information processing method according to an aspect of the present disclosure derives an operating condition of a device, stores the derived operating condition, and based on the stored operating condition in a predetermined period, the information processing method calculates the operating condition according to the number of occurrences of the operating condition. , generates screen information including character information with different sizes of characters representing the driving situation, and outputs the generated screen information.

A computer program according to an aspect of the present disclosure derives an operating situation of a device, stores the derived operating situation, and based on the operating situation in the stored predetermined period, according to the number of occurrences of the operating situation, A computer is caused to execute a process of generating screen information including character information in which the size of characters representing the driving situation is varied, and outputting the generated screen information.

According to the present disclosure, it is possible to output screen information that allows the user to understand the operating status of a device.

FIG. 1 is a schematic diagram showing a configuration example of a driving situation information processing system. It is an explanatory view explaining composition of a control device and a manhole pump device. FIG. 1 is a block diagram showing the configuration of an information processing device. It is a conceptual diagram which shows the example of the content of administrator DB. It is a conceptual diagram which shows the example of the content of detection value DB. It is a conceptual diagram which shows the example of the content of driving condition DB. It is a conceptual diagram which shows the example of the content of driving condition name DB. It is a conceptual diagram which shows the example of the content of driving condition name DB. FIG. 2 is an explanatory diagram illustrating the configuration of a learning model. FIG. 2 is a block diagram showing the configuration of an information processing terminal. FIG. 2 is a block diagram showing the configuration of a control device and the like. It is a flowchart which shows an example of the derivation processing procedure of the driving situation which a driving situation information processing system performs. 2 is a flowchart illustrating an example of a driving status providing processing procedure executed by the driving status information processing system. FIG. 2 is a schematic diagram illustrating an example of a reception screen for accepting specifications of a device and a period. It is a schematic diagram which shows the 1st example of the analysis result screen containing a word cloud in 1st Embodiment. It is a schematic diagram which shows the 2nd example of the analysis result screen containing a word cloud in 1st Embodiment. It is a schematic diagram which shows the example of an analysis result screen containing a word cloud in 2nd Embodiment.

The present invention will be specifically described with reference to drawings showing embodiments thereof.

(First embodiment)
FIG. 1 is a schematic diagram showing a configuration example of a driving situation information processing system 100. The driving status information processing system 100 includes an information processing device 1, an information processing terminal 2, and a plurality of devices 41 whose driving status is to be monitored. In this embodiment, a case will be explained in which the target device 41 is a pump, particularly a submersible pump 41 provided in the manhole pump device 4. The manhole pump device 4 is equipped with a control device 3 that acquires operating information of the submersible pump 41. The information processing device 1, the information processing terminal 2, and the control device 3 can each send and receive information via a network N such as the Internet.

The information processing device 1 is, for example, a server computer. The information processing device 1 provides the information processing terminal 2 with the operating status based on the operating information of each submersible pump 41 acquired via the control device 3.

The operating status is information related to the operating status of the submersible pump 41 obtained by analyzing the operating information of the submersible pump 41. For example, the operating status of the submersible pump 41, such as normal operation, foreign object detection, increased inflow amount, and air contamination, is information about the operating status of the submersible pump 41. It is classified into multiple types depending on the situation. The information processing device 1 provides the information processing terminal 2 with a word cloud of driving situation names representing driving situations during a predetermined period. A word cloud is an image of text information that includes a group of characters (driving situation name), and the size, font, color, arrangement, etc. of each character is changed depending on the number of occurrences of the characters (driving situation name) to be displayed. This is an image showing the images arranged side by side with different values.

Each of the information processing terminals 2 is an information terminal device having a display function, and is, for example, a personal computer, a smartphone, a tablet terminal, or the like. The information processing terminal 2 is managed by, for example, an administrator of the manhole pump device 4 (for example, a local government official, a facility maintenance manager, etc.), and the administrator uses the information processing terminal 2 to check the operating status of the submersible pump 41. confirm. Each manager manages, for example, a plurality of manhole pump devices 4 installed within the area of the local government in charge of the manager.

FIG. 2 is an explanatory diagram illustrating the configuration of the control device 3 and the manhole pump device 4. As shown in FIG. The control device 3 is installed inside a control panel 300 provided near the manhole pump device 4, for example. The control device 3 is electrically connected to a submersible pump 41 and water level gauges 42 and 46 in a manhole pump device 4, which will be described later, and includes information regarding the drive of the submersible pump 41 and information regarding the water level of the manhole pump device 4. Obtain operating information of the submersible pump 41. Further, the control device 3 is electrically connected to measurement devices such as a pressure gauge (not shown) that measures the discharge pressure of the pump 41 and a flowmeter (not shown) that measures the discharge amount. Operation information including the discharge pressure and discharge amount may be acquired. The control device 3 acquires operational information related to the drive and water level, operational information regarding the start date and time and stop date and time (driving time) of the drive of the pump 41 based on the water level, and operational information regarding the discharge pressure and discharge amount. is transmitted to the information processing device 1.

The manhole pump device 4 includes a storage tank 44 that stores sewage flowing in from an inflow pipe 43, two submersible pumps 41, 41 that force-feeds the sewage stored in the storage tank 44 toward a discharge pipe 45, and a storage tank. 44 and a water level gauge 42 for measuring the water level of stored wastewater.

The submersible pump 41 includes a pump body 411 and a drive device 412 such as a motor disposed above the pump body 411. Normally, the two submersible pumps 41, 41 are operated alternately, and for example, when an abnormally high water level occurs, the two submersible pumps 41, 41 are operated simultaneously to increase the amount of sewage pumped. The control device 3 detects the drive time, drive current, and water level of the storage tank 44 from when the drive device 412 of each submersible pump 41 starts to drive until it stops. Note that the number of submersible pumps 41 installed in the manhole pump device 4 is not limited to two. The number of submersible pumps 41 installed in the manhole pump device 4 may be one, or three or more submersible pumps 41 may be installed. Further, an in-tank stirring device (not shown) serving as a jetting mechanism may be provided in the submersible pump 41 or the pressure-feeding piping in the storage tank 44. The in-tank agitation device creates a powerful stirring vortex in the storage tank 44 with water ejected from the submersible pump 41, suppresses the accumulation of sediment, the sticking of oils and fats, and the generation of scum, thereby reducing maintenance.

The submersible pump 41 may be configured such that information regarding the submersible pump 41 can be further detected by other protection devices (not shown). For example, the control device 3 is equipped with a protection device (such as a 3E relay) that is electrically connected to the drive device 412, and the protection device uses the control device 3 to detect abnormalities in the drive device 412 (for example, Overload detection, open phase detection, reverse operation detection, etc.) may be detected. In addition, the submersible pump 41 has a built-in protective device (for example, an electrode-type water intrusion detector, a float-type water intrusion detector, etc.) for detecting water intrusion into the drive device 412. When the device 412 is detected to be submerged in water, the control device 3 may be able to receive the information. By using the control device 3 to acquire information from the protection device electrically connected to the protection device in addition to the drive current of the drive device 412, the operating status of the submersible pump 41 can be determined more accurately. can. Although an example in which a protection device is used as an example of detecting information regarding the submersible pump 41 has been described, the present embodiment is not limited to this embodiment, and any device may be used as long as it can detect an abnormality in the device.

The water level gauge 42 is, for example, a bubble type water level gauge or an injection pressure type water level gauge. The bubble type water level gauge 42 includes an air discharge part 421 installed at the bottom of the storage tank 44, an air pump (not shown), an air tube 422 connecting the air pump and the air discharge part 421, a pressure sensor, and a controller (not shown). ). The water level gauge 42 detects the water level of wastewater stored in the storage tank 44 . Furthermore, a float-type water level gauge 46 is installed in the storage tank 44 as a backup water level gauge to detect an abnormally high water level in the storage tank 44. Information on the water level detected by the water level gauges 42 and 46 is transmitted to the control device 3.

The control device 3 receives the water level detected from the water level gauges 42 and 46. When the water level in the storage tank 44 becomes equal to or higher than the predetermined drive water level, the control device 3 drives the drive device 412 of one of the submersible pumps 41. By the operation of the submersible pump 41, the wastewater in the storage tank 44 is discharged to the outside through the discharge pipe 45, and the water level in the storage tank 44 is lowered. When the water level in the storage tank 44 becomes less than a predetermined stop water level, the control device 3 stops the drive device 412 of the submersible pump 41. As a result, drainage of wastewater by the submersible pump 41 is completed. Thereafter, sewage flowing in from the outside via the inflow pipe 43 is stored in the storage tank 44 again, and when the water level rises above a predetermined drive water level, the control device 3 drives the drive device 412 of the other submersible pump 41. When the same process in the other submersible pump 41 causes the wastewater in the storage tank 44 to be discharged and the water level becomes less than a predetermined stop water level, the control device 3 stops the drive device 412 of the other submersible pump 41. . In the manhole pump device 4, such a series of processes is repeated.

Note that the device 41 to which the operating status information processing system 100 is applied is not limited to the submersible pump 41 of the manhole pump device 4. The submersible pump 41 may be provided in other water pumping devices. Further, the device 41 is not limited to the submersible pump 41 that pumps out water, but may be, for example, a blower such as a Roots blower or a turbo blower that sends air to each aeration means. Alternatively, it may be a stirrer for stirring the inside of the wastewater storage tank.

The configuration and detailed processing contents of the driving status information processing system 100 as described above will be explained below.

FIG. 3 is a block diagram showing the configuration of the information processing device 1. As shown in FIG. The information processing device 1 includes a control section 10, a storage section 11, and a communication section 12. For ease of explanation, the information processing device 1 will be described as one server computer, but functions or processing may be distributed among multiple server computers, or the information processing device 1 may be virtually generated on one large computer. It may be one of multiple server computers (instances).

The control unit 10 is a processor using one or more CPU (Central Processing Unit), GPU (Graphics Processing Unit), etc., and uses built-in memory such as ROM (Read Only Memory) or RAM (Random Access Memory). , controls each component to execute processing.

The communication unit 12 is a communication interface that realizes communication via the network N. The control unit 10 is capable of transmitting and receiving information between the information processing terminal 2 and the control device 3 via the network N using the communication unit 12 . The control unit 10 acquires driving information from the control device 3 via the communication unit 12 . Further, the control unit 10 outputs driving conditions and screen information to the information processing terminal 2 via the communication unit 12.

The storage unit 11 includes a nonvolatile memory such as a hard disk or an SSD (Solid State Drive). The storage unit 11 stores programs and data referenced by the control unit 10, including the program 1P. The control unit 10 causes a general-purpose server computer to function as the information processing device 1 specific to the present disclosure by reading and executing the program 1P.

The storage unit 11 also stores a manager DB (Data Base) 110, a detected value DB 111, a driving situation DB 112, a driving situation name DB 113, a learning model 1M, and the like.

The program 1P and learning model 1M stored in the storage unit 11 may be recorded on a recording medium in a computer-readable manner. The storage unit 11 stores a program 1P and a learning model 1M read from the recording medium 1A by a reading device (not shown). Alternatively, the program 1P and the learning model 1M may be downloaded from an external computer (not shown) connected to a communication network (not shown) and stored in the storage unit 11. Note that the storage unit 11 may be composed of a plurality of storage devices, or may be an external storage device connected to the information processing device 1.

FIG. 4 is a conceptual diagram showing an example of the contents of the administrator DB 110. The administrator DB 110 is a database that stores information regarding the administrator of the manhole pump device 4. The administrator DB 110 includes, for example, identification information of the manhole pump device 4 (e.g. device ID), identification information of the submersible pump 41 provided in the manhole pump device 4 (e.g. pump ID) and location information (for example, the address of the installation location) are stored. The contents of the administrator DB 110 may be acquired and registered in advance when the administrator subscribes to the management service of the manhole pump device 4. The contents recorded in the administrator DB 110 are not limited to the example shown in FIG. 4.

FIG. 5 is a conceptual diagram showing an example of the contents of the detected value DB 111. The detected value DB 111 is a database that stores detected values obtained from the submersible pump 41 via the control device 3. In the detection value DB, detection values indicating the drive current and water level in the drive device 412 of each submersible pump 41 are stored in chronological order in association with the detection date and time. Each detection value stored in the detection value DB 111 is detected by the control device 3 at predetermined intervals (for example, every 1 second to 1 minute), and is added by the control section 10 each time it is acquired from the control device 3 via the communication section 12. be done. The detected value DB 111 may also store other information regarding the on/off operation of the submersible pump 41 and information regarding the submersible pump 41 from the protection device. Note that the detected values are not limited to those detected at predetermined intervals, and may include detected values at the start and end of driving of the drive device 412. The storage unit 11 stores a detection value DB 111 for each of the plurality of manhole pump devices 4. The contents recorded in the detected value DB 111 are not limited to the example shown in FIG. 5.

FIG. 6 is a conceptual diagram showing an example of the contents of the driving status DB 112. The operating status DB 112 is a database that stores the operating status of the submersible pump 41. In the driving situation DB 112, driving situations are recorded in association with driving information. The operation information includes the driving time from the start of driving to the time of stopping, identification information of the submersible pump 41 (for example, pump ID), driving current, and water level. The control unit 10 extracts, from the detected value DB 111, the driving time from the time when the driving device 412 starts driving until the time when the driving device 412 stops, the driving current and the water level within the driving time for each operation of the driving device 412 of the submersible pump 41. , obtain driving information.

The operation status is information indicating the status regarding normal and abnormal operation of the submersible pump 41. The operating status is classified into multiple types, such as "normal", "foreign object detected", "increased inflow", "air entrainment", and "driving time determination". Each type of driving situation may be further classified into subdivided types such as medium classification and minor classification (see FIGS. 7 and 8). For example, "normal" may be subcategorized into "normal", "normal (operating other pumps)", etc., and "normal (operating other pumps)" is "normal (other pumps are also operating, starting and stopping at the same time)". , "Normal (other pumps are also running and stopped at the same time)", etc.

Here, "normal" includes a state in which the submersible pump 41 is operated without any abnormality. “Foreign object detection” refers to a state related to a foreign object in the submersible pump 41. For example, a state in which some foreign object that had accumulated in the pump body 411 has flowed out of the pump main body 411, or a state in which some foreign object has been detected inside the pump main body 411. This may include a state where the foreign matter has flowed in and obstructed the inside of the pump body 411, a state where some kind of foreign matter has remained inside the pump body 411, and the like. "Increase in inflow amount" refers to a state related to the inflow amount to the storage tank 44 or the drainage capacity of the submersible pump 41. For example, if sewage flows into the storage tank 44 in excess of the planned drainage amount of the submersible pump 41, Due to the state in which the water level of sewage in the storage tank 44 does not fall stably, and the drainage capacity of the submersible pump 41 has decreased, even if the amount of inflow into the storage tank 44 is within the expected range, the drainage processing by the submersible pump 41 may not be possible. This may include a situation where you cannot catch up. "Increase in inflow amount" may include a state in which sewage flows into the storage tank 44 in excess of the expected inflow amount into the storage tank 44 due to an external factor such as heavy rain. "Air mixing" refers to a state related to air mixing in the submersible pump 41, and includes, for example, a state in which the submersible pump 41 is unable to pump water due to air being mixed into the pump main body 411. "Air entrainment" refers to a situation in which the submersible pump 41 is unable to pump water because the air that entered the pump body 411 did not completely escape before the submersible pump 41 was driven, and the submersible pump 41 was unable to pump water. It may also include a state in which, after being driven, air is sucked in for some reason and water cannot be pumped. "Driving time determination" includes the state of the submersible pump 41 determined from the driving time of the submersible pump 41, operating information of other submersible pumps 41, information on protection devices, etc.

Sewage (for example, toilet waste water containing human waste, kitchen, bath, laundry waste water, hair, long garbage, solid garbage, etc.) flows into the manhole pump device 4 . For example, in a state in which some foreign matter that had accumulated inside the pump body 411 has leaked out to the outside of the pump body 411, although an abnormality related to foreign matter called foreign matter detection has occurred, the operating status of the submersible pump 41 is "normal". It is. On the other hand, a state in which some foreign matter flows into the pump body 411 and blocks the inside of the pump body 411 is an occurrence of a foreign matter-related condition called foreign matter detection, and is also considered an "abnormal" operating status of the submersible pump 41. It is. Further, the state in which some foreign matter remains in the pump main body 411 is not only the occurrence of a foreign matter-related state called foreign matter detection, but also an "abnormal" operating condition of the submersible pump 41. In this way, the quality of "normal" and "abnormal" differs depending on the driving situation, and by subdividing the driving situation, it is possible to understand the state more accurately.

The information processing device 1 acquires operational information including information on the driving time, driving current, and water level of the submersible pump 41 from the control device 3, and uses a learning model 1M, which will be described later, to identify results of the driving situation according to the driving information. Derive. The driving situation information stored in the driving situation DB 112 is recorded by the control unit 10 each time a driving situation is derived according to new driving information. The storage unit 11 stores an operating status DB 112 for each of the plurality of manhole pump devices 4. The contents recorded in the driving status DB 112 are not limited to the example shown in FIG. 6 .

7 and 8 are conceptual diagrams showing examples of contents of the driving status name DB 113. The driving situation name DB 113 is a database that stores driving situation names for generating a word cloud. The driving situation name is a character representing the driving situation, and is a display name of the driving situation used when generating a word cloud. The driving situation name is displayed by converting the driving situation including specialized content into wording that is easy for the administrator to recognize. In the driving situation name DB 113, character data of a driving situation name indicating the driving situation is recorded in association with the driving situation. The control unit 10 refers to the driving situation name DB 113, converts the driving situation into a driving situation name for word cloud display, and generates a word cloud.

In this embodiment, even different types of driving situations are converted into the same driving situation name. For example, when the driving status subcategories are "normal" and "passing foreign object," both are aggregated under the driving status name "normal driving" and displayed in a word cloud. On the other hand, even if the driving situations have the same major classification or medium classification, they are converted into different driving situation names depending on the detailed classification. For example, if the operating status subcategory is "foreign object detection," a word cloud will be displayed with operating status names categorized into "a lot of trash," "a lot of trash, increased load," etc., depending on the subcategory. Ru. The contents recorded in the driving status name DB 113 are not limited to the examples shown in FIGS. 7 and 8.

FIG. 9 is an explanatory diagram illustrating the configuration of the learning model 1M. The learning model 1M is a model generated by machine learning, and is a discriminator that outputs data indicating a driving situation in response to input of driving information. The learning model 1M is generated and trained in the information processing device 1 or an external device in advance. The control unit 10 may use, for example, a support vector machine (SVM) decision tree, a machine learning algorithm such as clustering, etc. to define the boundary line and specify the type of driving situation. The learning model 1M is defined by its definition information. The storage unit 11 stores definition information regarding the learning model 1M.

The input information input to the learning model 1M is driving information. In this embodiment, the operation information includes the driving time from the time when the driving device 412 of the submersible pump 41 starts to the time when it stops, the driving current detected at a predetermined period, and the water level.

The control unit 10 may perform predetermined preprocessing on the driving information and input the preprocessed driving information to the learning model 1M as input information. For example, the control unit 10 performs preprocessing to acquire the waveform of the drive current, water level change, various parameters, etc. within the drive time based on the operation information. Various parameters include, for example, the standard deviation of the drive current based on time-series data of the drive current, the maximum and minimum values of the drive current, the amount of change in the drive current per unit time, and the temporal variation of the drive current within the drive time. Drive current parameters such as the total number of change points at which the degree of change has changed may be included. The various parameters may include water level parameters such as the maximum value of the water level change rate based on water level time series data, and the total number of change points at which the degree of temporal change in the water level changes within the drive time. The various parameters may include at least one of the drive current parameter and water level parameter described above. The control unit 10 inputs these parameters to the learning model 1M as input information.

The input information may further include external data such as weather information as an input element. For example, the control unit 10 may provide weather information (for example, precipitation amount, predicted rainfall amount, temperature, humidity, lightning strike, etc.) is acquired from an external server, and stored in the storage unit 11 in association with date and time information. The control unit 10 reads weather information according to the drive time and inputs it to the learning model 1M as input information. Since the operation of the submersible pump 41 is affected by weather conditions such as the inflow of rainwater into the inflow pipe 43, by including the weather information in the input information of the learning model 1M, the operation situation can be output with higher accuracy. Further, the input information may include information regarding the submersible pump 41 detected by a protection device for the submersible pump 41 as an input element.

The learning model 1M outputs output information indicating the driving situation according to the driving information. The operating status may include, for example, "normal", "foreign object detected", "increase in flow rate", "air entrainment", "driving time determination", and the like. Note that each type of driving situation may be classified more finely. That is, the learning model 1M may output the identification results for the major classifications of driving situations in the examples of FIGS. 7 and 8, or may output the identification results for more detailed intermediate classifications and small classifications. Note that the learning model 1M may output a driving situation name corresponding to the driving situation as output information.

When the driving information to be identified is input, the control unit 10 identifies the type of driving situation according to the driving information. Specifically, the control unit 10 stores feature amounts for each type of driving situation, and selects the feature amount with the highest degree of similarity based on the feature amount included in the driving information and the feature amount for each driving situation. The type of driving situation to which the information belongs is identified as the driving situation of the driving information. The control unit 10 acquires, as training data, an information group in which a known driving situation type is added to input information including driving information. The control unit 10 uses a large amount of training data measured in the past to train the learning model 1M to identify driving situations according to driving information.

The control unit 10 may store a plurality of learning models 1M and classify the type of driving situation based on the output information of the plurality of learning models 1M. For example, the first learning model 1M outputs output information indicating whether the type of driving situation is normal or not, depending on the driving information. The second learning model 1M outputs output information indicating whether or not the type of driving situation is foreign object detection, depending on the driving information. The third learning model 1M outputs output information indicating whether the type of driving situation is an increase in the amount of inflow, depending on the driving information. The fourth learning model 1M outputs output information indicating whether or not the type of driving situation is aeration, depending on the driving information. In this way, each learning model 1M outputs classification results for each type of driving situation according to driving information. In this case, the input information for each learning model 1M is not limited to include all of the operating time, drive current, and water level. The learning model 1M may have, for example, at least one of a drive current and a water level as an input element, and may have at least one of parameter information included in a drive current parameter and a water level parameter as an input element. There may be.

The learning model 1M is not limited to the example shown in FIG. The learning model 1M may be a model learned by another algorithm such as a neural network. A multilayer neural network (deep learning) can be used as the neural network, and for example, a convolutional neural network (CNN) can be used. In this case, at least one of current value time series data, water level time series data, drive current parameters, water level parameters, and precipitation is used as input data for the training data, and the output data is normal, foreign object detected, and increased inflow. , a label indicating operating conditions such as air entrainment may be attached. The control unit 10 uses a large amount of already measured training data to tune the parameters of the learning model 1M by backpropagation or the like. Note that the control unit 10 is not limited to using a machine learning method, and may derive the driving status using other rule-based methods, such as threshold determination based on driving time, drive current, and water level, for example. For example, the operating status related to "driving time determination" may be derived from the operating time of the submersible pump 41, operating information of other pumps, and information of the protection device without using a learning model. It is also effective when the drive current and water level cannot be measured for some reason.

FIG. 10 is a block diagram showing the configuration of the information processing terminal 2. As shown in FIG. The information processing terminal 2 includes a control section 20, a storage section 21, a communication section 22, a display section 23, and an operation section 24.

The control unit 20 includes a processor such as a CPU or GPU, a memory, and the like. The control unit 20 may be configured as one piece of hardware (SoC: System On a Chip) that integrates a processor, a memory, a storage unit 21, and a communication unit 22. The control unit 20 controls each component to execute processing based on the program 2P stored in the storage unit 21.

The storage unit 21 includes, for example, a nonvolatile memory such as a hard disk or SSD. The storage unit 21 stores programs and data referenced by the control unit 20, including the program 2P. The communication unit 22 is a communication interface that realizes communication with the information processing device 1 via the network N.

The display unit 23 includes a display device such as a liquid crystal panel and an organic EL (Electro Luminescence) display. The display unit 23 displays various information including driving conditions according to instructions from the control unit 20. The operation unit 24 is an interface that accepts user operations, and includes, for example, physical buttons, a mouse, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 24 receives operation input from the user and sends a control signal to the control unit 20 according to the operation content.

FIG. 11 is a block diagram showing the configuration of the control device 3 and the like. The control device 3 includes a control section 30, a storage section 31, a communication section 32, and an input/output section 33.

The control unit 30 is a processor using one or more CPUs, GPUs, etc., and uses built-in memory such as ROM or RAM to control each component and execute processing. The storage unit 31 is a storage device that stores information referenced by the control unit 30. The communication unit 32 is a communication interface that realizes communication with the information processing device 1 via the network N. The control unit 30 transmits the operation information acquired from the manhole pump device 4 to the information processing device 1 via the communication unit 32.

The input/output unit 33 is an input/output interface connected to the submersible pump 41 and water level gauges 42 and 46 of the manhole pump device 4. The input/output section 33 may be connected to a protection device for the submersible pump 41 and a protection device for the drive device 412 (not shown). The control unit 30 acquires signals indicating the water level from the water level gauges 42 and 46 via the input/output unit 33. The control unit 30 outputs a signal for controlling driving to the drive device 412 of the submersible pump 41 via the input/output unit 33. The control unit 30 detects the drive current in the drive device 412 of the submersible pump 41 during the drive time from when the drive device 412 starts to when it stops.

FIG. 12 is a flowchart illustrating an example of a driving situation derivation processing procedure executed by the driving situation information processing system 100. The control unit 10 of the information processing device 1 starts the following process when driving information is transmitted from the control device 3.

The control unit 10 of the information processing device 1 receives a detection value including the detection date and time, drive current, and water level from the control device 3 (step S11), and stores it in the detection value DB 111. The detected value may also include information regarding the on/off operation of the submersible pump 41 and information regarding the submersible pump 41 due to the protection device. In this case, the control unit 10 may acquire the detected value and the identification information of the manhole pump device 4 and the submersible pump 41 in association with each other.

The control unit 10 determines whether or not the driving of the submersible pump 41 has stopped (step S12). For example, if it is determined that the drive has not stopped because information regarding the off operation of the submersible pump 41 has not been acquired (step S12: NO), the control unit 10 returns the process to step S11 and receives the detected value. Continue.

On the other hand, if it is determined that the drive has stopped, for example, by acquiring information regarding the off operation of the submersible pump 41 (step S12: YES), the control unit 10 acquires operation information within the drive time (step S13). . Specifically, the control unit 10 refers to the detected value DB 111 and determines the drive time from the time when the submersible pump 41 starts to be driven until the time when it stops, the drive current of the submersible pump 41 during the drive time, Operation information is acquired by extracting the water level during the drive time. The control unit 10 stores the acquired driving information in the storage unit 11. The control unit 10 functions as an acquisition unit that acquires driving information.

The control unit 10 executes an analysis process of the acquired driving information and derives a driving situation based on the driving information (step S14). Specifically, the control unit 10 inputs driving information including driving time, driving current, and water level into the learning model 1M as input information, and obtains the driving status to be output. In this case, the control unit 10 may perform preprocessing to generate various parameters and the like from the operation information. Further, the control unit 10 may acquire weather information from an external server and use it as an input element of input information. The control unit 10 functions as a derivation unit that derives driving conditions. The control unit 10 stores the derived driving situation and driving information in association with each other in the driving situation DB 112 (step S15), and ends the series of processing. The control unit 10 executes the above-mentioned process every time a detected value is output from the control device 3. In this way, each time the submersible pump 41 is operated, an operating status obtained by analyzing the operating status of the submersible pump 41 is generated and recorded in the operating status DB 112.

In step S13 described above, the operation information acquisition process is not limited to being executed every time the operation of the submersible pump 41 is stopped. The control unit 10 may acquire multiple driving information all at once at regular timing (for example, once a day). Further, for example, when the drive device 412 operates 24 hours a day without frequently starting and stopping, the control unit 10 controls the Driving information may also be acquired. In this case, the driving time may be the time from when the driving device 412 actually starts driving until it stops, or by setting the starting and stopping continuously, for example, one continuous driving operation. The driving information may be acquired by dividing the driving time into hours.

In step S14 described above, the driving situation derivation process is not limited to being performed every time driving information is acquired. For example, the control unit 10 stores the acquired operation information in the driving status DB 112, and stores the acquired operation information in the driving status DB 112, and stores the acquired operation information within a period at the timing of receiving an inquiry about the driving status from the information processing terminal 2, which will be described later, or at a regularly determined timing. A process for deriving the driving situation from the driving information acquired may be executed.

In step S14 described above, when the learning model 1M outputs the driving situation name according to the driving situation as output information, the control unit 10 may store the driving situation name in the driving situation DB 112. Note that the driving situation name may be stored using a driving situation code corresponding to the driving situation name. By using driving status codes, it is easy to support multiple languages (English, Japanese, Chinese, Korean, etc.).

FIG. 13 is a flowchart illustrating an example of a driving status providing processing procedure executed by the driving status information processing system 100. The following processes are executed by the control unit 20 according to the program 2P stored in the storage unit 21 of the information processing terminal 2, and are executed by the control unit 10 according to the program 1P stored in the storage unit 11 of the information processing device 1. executed.

The control unit 20 of the information processing terminal 2 receives the designation of the equipment and period for which the operating status is to be displayed by the administrator of the manhole pump device 4 operating the operation unit 24 (step S21). In accordance with the program 2P, the control unit 20 displays a reception screen 250 on the display unit 23 for receiving the designation of the device and the period, and uses the reception screen 250 to receive the designation of the device and the period from the administrator.

FIG. 14 is a schematic diagram showing an example of a reception screen 250 for accepting specifications of equipment and period. The reception screen 250 includes, for example, a pull-down menu 251 for specifying the manhole pump device 4 and the submersible pump 41, a selection button 252 for selecting whether to automatically specify the period setting or to specify an arbitrary period. 252, a pull-down menu 253 for setting a period when specifying an arbitrary period, a display button 254 for displaying the driving status of the selected specified period, and the like.

The administrator operates the information processing terminal 2 using the reception screen 250 and inputs the specified device and period. The administrator selects the manhole pump device 4 and submersible pump 41 whose operating status is to be displayed from the pull-down menu 251 from among the manhole pump devices 4 to be managed. Furthermore, when specifying a period, the administrator specifies either a selection button 252, 252 between an automatically set period and an arbitrarily set period. When an automatically set period is selected, the predetermined period is automatically set, for example, based on the acquisition date and time of the latest driving information. When an arbitrarily set period is selected, the start date and end date of the period are accepted by operating the pull-down menu 253. When the administrator selects a period and specifies the display button 254, the identification information of the manhole pump device 4, the selection of period designation, the period when specifying an arbitrary period, etc. are input. The control unit 20 accepts identification information of the manhole pump device 4, selection of a period designation, and designation of a period when an arbitrary period is designated.

Returning to FIG. 13, the explanation will be continued. The control unit 20 transmits to the information processing device 1 an inquiry about the operating status including the identification information of the manhole pump device 4, the selection of a period designation, and the period when an arbitrary period is designated (step S22).

The control unit 10 of the information processing device 1 receives the driving status inquiry from the information processing terminal 2 (step S23), and acquires the designated period received via the information processing terminal 2 (step S24). Specifically, the control unit 10 acquires a predetermined period according to the acquisition date and time of the latest driving information based on a selection result indicating that an automatically set period has been selected. The automatically designated periods include, for example, three types of periods: the day before the driving information acquisition date, the past week including the previous day, and the past month. Alternatively, the control unit 10 acquires the specified period based on the selection result indicating that an arbitrary period has been selected and the selected start date and end date. The control unit 10 functions as a reception unit.

The control unit 10 refers to the driving situation DB 112, specifies the driving situation whose date and time item includes the specified period, and acquires the driving situation in the specified period (step S25). If the control unit 10 is configured to derive the driving status in response to an inquiry from the information processing terminal 2, the control unit 10 executes the process of step S14 in FIG. 12 and reads out the driving information for the specified period. At the same time, the derived driving situation is stored in the driving situation DB 112. The control unit 10 refers to the driving situation name DB 113 and converts the acquired or derived driving situation into a driving situation name that is character data for displaying a word cloud (step S26). Note that if the driving situation name is output from the learning model 1M, the process of step S26 may be omitted.

The control unit 10 generates a word cloud of the driving situation in the specified period based on the driving situation name (step S27). Specifically, the control unit 10 calculates the number of occurrences for each driving situation for all driving situations in the designated period acquired from the driving situation DB 112, and calculates the number of occurrences for each driving situation based on the ratio of the number of occurrences for each driving situation to the total number of driving situations. Then, a word cloud (character information) is generated in which the display mode of the characters of the driving situation name is changed. The control unit 10 functions as a generation unit. In addition, when calculating the number of occurrences of a driving situation, if multiple types of driving situations occur that are converted to the same driving situation name, the total value of the number of times these multiple types of driving situations occur is calculated as the number of times the driving situation occurs. It may be calculated as the total number of occurrences related to the situation.

In the present embodiment, the control unit 10 displays the driving situation name of the driving situation in a larger size in the word cloud as the number of occurrences of the driving situation in the display target period increases. Note that the display mode according to the number of occurrences is not limited to changing the size of the characters in each driving situation name, but also the font, color, arrangement, thickness, darkness, blinking, etc. of the characters in each driving situation name. may be determined according to the number of occurrences of the driving situation.

The display mode of the driving situation name in the word cloud may be further changed based on the type of driving situation in addition to the number of occurrences. For example, the control unit 10 calculates the weighted number of occurrences by multiplying the number of occurrences by the weighting coefficient using a weighting coefficient set for each type of driving situation, and calculates the weighted number of occurrences by multiplying the number of occurrences by the weighting coefficient, and calculates the weighted number of occurrences based on the ratio of the weighted number of occurrences to the total number of driving situations. Change the display mode of driving status text. The weighting coefficient is set to a large numerical value so that, for example, the more abnormal the driving situation is, the larger the display is. Alternatively, the control unit 10 may change the display color of the driving situation name of a specific type of driving situation, etc. only for a specific type of driving situation.

The control unit 10 generates analysis result screen information including a word cloud of driving conditions (step S28). In the analysis result screen information, a word cloud is displayed in association with the operating status period and submersible pump information shown in the word cloud. The control unit 10 transmits the generated analysis result screen information to the information processing terminal 2 (step S29). The control section 10 functions as an output section.

The control unit 20 of the information processing terminal 2 receives screen information from the information processing device 1 (step S30). The control unit 20 displays an analysis result screen based on the received screen information on the display unit 23 (step S31), and ends the series of processing.

In addition, in the processes of the flowcharts in FIGS. 12 and 13 described above, a series of processes are shared between the control unit 10 of the information processing device 1, or between the control unit 10 of the information processing device 1 and the control unit 20 of the information processing terminal 2. Although an example has been described in which the control unit 10 and the control unit 20 perform the operations, the roles of the control unit 10 and the control unit 20 are merely an example, and are not limited to the examples shown in FIGS. 12 and 13. Part or all of the processing executed by the control unit 10 of the information processing device 1 may be executed by the control unit 20 of the information processing terminal 2, or may be executed by the control unit 30 of the control device 3. .

FIG. 15 is a schematic diagram showing a first example of an analysis result screen 260 including a word cloud in the first embodiment. In the state where the reception screen 250 shown in FIG. 14 is displayed, the control unit 10 selects all submersible pumps 41 of the manhole pump device 4 (in the example of FIG. 15, pumps "101-1" and When an operation to specify the pump "101-2") and an operation to select the selection button 252 labeled "Latest" for automatically specifying the period setting are accepted, the example shown in FIG. Image information for the analysis result screen 260 is generated. The analysis result screen 260 includes a plurality of word clouds (character information) 261 indicating the operating status of the pump "101-1" and the pump "101-2" during an automatically specified period. The automatically designated period includes three periods, for example, one day in the past, one week, and one month, starting from the day before the driving status acquisition date. In the example of FIG. 15, the analysis result screen 260 includes a plurality of areas indicating the operating status in a matrix format with the vertical axis representing a predetermined period 262 and the horizontal axis representing submersible pump information 263. , a word cloud 261 generated for each predetermined period and each submersible pump 41 is displayed.

The control unit 10 displays the generated word cloud in each corresponding area on the matrix based on the word cloud, the period associated with the operating status shown in the word cloud, and the identification information of the submersible pump 41. Generate screen information. On the analysis result screen 260, the ratio of the number of occurrences of the driving situation in the target period can be easily recognized by the display mode of the characters of the driving situation. In the example of FIG. 15, in the word cloud 261a for one month of pump "101-1," the words "normal operation" are displayed in large letters, and the letters of other operating status names are displayed in small letters. Therefore, from the analysis result screen 260, it can be easily recognized visually that the operating status of the pump "101-1" in the past month was mostly normal operation. In addition, the occurrence status and occurrence ratio of unsteady operations can be visually recognized from the number of other driving status names displayed alongside the normal operation and the display size of the driving status names. Furthermore, the analysis result screen 260 shows a list of driving conditions for a plurality of short-term, medium-term, and long-term periods, making it easy to compare driving conditions for each period.

Driving information may be displayed in association with the word cloud. For example, in a state where the analysis result screen 260 shown in FIG. 15 is displayed, the control unit 10 accepts selection of any one driving situation name included in the word cloud through a click operation or the like by the administrator. Based on the selected driving situation name, the control unit 10 acquires driving information corresponding to all driving situations indicated by the driving situation name. The control unit 10 generates screen information including the acquired driving information, and causes the screen information to be displayed via the display unit 23. The operation information may be, for example, highlighting the drive time corresponding to the selected operating status name from among the list of drive times of the submersible pump 41 and all operating information logs in the specified period related to the selected operating status name, or By extracting the relevant part, etc., it is displayed in a visually distinguishable manner. For example, the operation information highlights the driving current and water level corresponding to the selected operating status name on a graph of time-series data of the submersible pump 41 and the driving current and water level in a specified period related to the selected operating status name. It may be displayed by displaying or the like.

Equipment such as the submersible pump 41 of the manhole pump device 4 that is particularly susceptible to the external environment and prone to unsteady operation may be susceptible to increased inflow of sewage, contamination of foreign matter, incorrect time settings from start to stop of operation, etc. It is not easy to instantly grasp the operating status from equipment operating data, as the situation may change with each operation, such as air intrusion due to malfunction of the water level gauge. By displaying such driving conditions in a word cloud, it is possible to visually recognize the situation occurring in the equipment.

FIG. 16 is a schematic diagram showing a second example of the analysis result screen 260 including a word cloud in the first embodiment. When the reception screen 250 shown in FIG. 14 is displayed and a selection operation of "All" is accepted in the pull-down menu 251 for specifying the manhole pump device 4, the control unit 10 Image information for an analysis result screen 260 on which a list of word clouds 261 of a plurality of submersible pumps 41 in a period is displayed is generated. The analysis result screen 260 includes a plurality of areas including word clouds 261 for each submersible pump 41, and each area displays a word cloud 261 of the operating status of each submersible pump 41 during the same period. There is. Below each word cloud 261, the specified period and information about the submersible pump 41 related to the word cloud 261 are displayed in association with each other. For example, the control unit 10 acquires the operating status during a specified period for each of the submersible pumps 41 provided in all the manhole pump devices 4 associated with a specific administrator ID, and generates a word cloud of the acquired operating status. . The control unit 10 generates screen information that displays each generated word cloud in association with a specified period and identification information of the submersible pump 41.

According to this embodiment, the driving situation according to the driving information is displayed on the display unit 23 as character information in a word cloud format. The driving situation is identified with high accuracy by the learning model 1M. Furthermore, since the operating status is displayed as a word cloud of operating status names, even managers without specialized knowledge or with little experience can immediately visually check the operating status of the equipment. This makes it possible to quickly respond to driving conditions.

According to the present embodiment, it is possible to accept the designation of the equipment, period, etc. for which the driving status is to be displayed by the administrator's operation, thereby increasing the degree of freedom in displaying the driving status. Furthermore, by displaying a list of driving conditions using a plurality of word clouds, it becomes easy to compare driving conditions by device or by period, and it is possible to efficiently examine driving conditions.

(Second embodiment)
FIG. 17 is a schematic diagram showing an example of an analysis result screen 270 including a word cloud in the second embodiment. FIG. 17 shows an example of an analysis result screen 270 in which a word cloud is displayed together with the position information of the submersible pump 41. In the example shown in FIG. 17, the analysis result screen 270 displays a map image 271 showing the location of the submersible pump 41 managed by the administrator, and a word cloud image 272 of the operating status of the submersible pump 41. .

The control unit 10 acquires the position information of each submersible pump 41 in advance and stores it in the administrator DB 110. The control unit 10 displays analysis result screen information that displays the map image 271 and displays the position object 273 of each submersible pump 41 superimposed on the position corresponding to the position information of each submersible pump 41 on the map image. generate. The display mode of the position objects 273 changes in accordance with the word cloud 272 of the operating status of the corresponding submersible pump 41. For example, the position object 273 is displayed in the same color as the driving situation name displayed in the largest size in the word cloud 272. Alternatively, the position object 273 may be displayed in the same color as the display color of the specific driving situation name only when the word cloud 272 includes the specific driving situation name. In addition, when a plurality of submersible pumps 41 are installed at the same position, the position object 273 may be represented by one position object to represent them, and the position object 273 may be represented by one position object representing the submersible pumps 41, and the position object 273 may represent the position of the manhole pump device 4 where the submersible pump 41 is installed. It may also indicate.

When the map image 271 including the position object 273 is displayed, when a designation of any position object 273 is received by the administrator, the control unit 10 controls the submersible pump of the position object as shown in FIG. 41 is generated and displayed on the display unit 23 of the information processing terminal 2. For example, if you select the pump "Pump (101-2)" of the manhole pump device "ABC101" from the pull-down menu 251, the color and size of the position object 273 of the manhole pump device "ABC101" will be changed to make it easier to understand. Furthermore, a word cloud 272 of "Pump (101-2)" can be superimposed and displayed on the map image 271. In addition, if you select "All" pumps of the manhole pump device "ABC101", if there are multiple submersible pumps 41 in the manhole pump device "ABC101", the map image 271 will show the multiple submersible pumps 41 installed in the manhole pump device "ABC101". A plurality of word clouds 272 of submersible pumps 41 can be displayed in a superimposed manner. When any position object 273 is selected by the administrator's cursor operation, the control unit 10 may automatically display the word cloud 272 corresponding to the submersible pump 41 of the position object.

According to this embodiment, the display mode of the word cloud 272 and the display mode of the position object 273 are associated. Therefore, depending on the position and display mode of the position object 273 of the submersible pump 41 on the map image, the administrator can specifically grasp the position of the submersible pump 41 and the details of the operating status. For example, if there is an upstream side (water supply side) and a downstream side (water receiving side) relationship between the manhole pump devices 4 indicated by the position objects on the map image 271, the upstream side position objects on the map image 271 may be By displaying an arrow pointing toward the downstream position object, it is possible to easily identify the manhole pump device 4 on the upstream side and the manhole pump device 4 on the downstream side of the manhole pump device 4 or submersible pump 41 in which an abnormality has been confirmed. It becomes easy to understand the operating status of the submersible pump 41 of the manhole pump device 4 and to identify the location where an abnormality occurs in the entire system including the piping.

The embodiments disclosed herein are illustrative in all respects and are not restrictive. The scope of the present invention is indicated by the claims, and includes all changes within the meaning and range equivalent to the claims.

100 Driving status information processing system 1 Information processing device 10 Control unit 11 Storage unit 1P program 1M Learning model 110 Administrator DB
111 Detection value DB
112 Driving status DB
113 Driving status name DB
12 communication section 2 information processing terminal 20 control section 21 storage section 2P program 22 communication section 23 display section 24 operation section 3 control device 4 manhole pump device 41 submersible pump (equipment)
42,46 Water level gauge

Claims (15)

a derivation unit that derives an operating status including a normal state of the device and a plurality of types of abnormal states based on a value detected by the measuring device ;
a storage unit that stores the driving situation derived by the derivation unit;
Based on the driving situation during a predetermined period stored in the storage unit, the driving situation is determined for each type of driving situation including a normal state and a plurality of types of abnormal states according to the number of occurrences of each type of driving situation. a generation unit that generates screen information including character information of a driving situation name with different font sizes;
An information processing device comprising: an output section that outputs the screen information generated by the generation section. a derivation unit that derives the operating status of multiple devices;
a storage unit that stores the driving conditions derived by the derivation unit in chronological order;
The screen information includes character information in which the size of characters representing the driving situation is changed according to the number of occurrences of the driving situation based on the driving situation of each device during a predetermined period stored in the storage unit. a generating unit that generates screen information for displaying the character information for each combination of device type and period on a matrix determined by the device type and period;
and an output unit that outputs the screen information generated by the generation unit.
Information processing device. a derivation unit that derives operating conditions including a normal state and a plurality of types of abnormal states of equipment including a first submersible pump and a second submersible pump included in the manhole pump device;
a storage unit that stores the operational status of the first submersible pump and the second submersible pump derived by the derivation unit in chronological order;
The first operating status of the first submersible pump and the second submersible pump in the first unit period stored in the storage unit, and the first operating status of the first submersible pump and the second submersible pump in the second unit period shorter than the first unit period. Based on the second operation status of the pump and the third operation status of the first submersible pump and the second submersible pump in a third period shorter than the second unit period, the pump type is set in the first direction and the period is set in the second direction. For each combination of pump type and period, the size of the letters representing the operating conditions, including normal conditions and multiple types of abnormal conditions, was made to differ depending on the number of times the operating conditions occurred on a matrix with a direction. a generation unit that generates screen information for displaying character information;
and an output unit that outputs the screen information generated by the generation unit.
Information processing device. comprising an acquisition unit that acquires operating information of the device,
The derivation unit derives the driving situation for the driving information acquired by the acquisition unit based on a learning model that is trained to output the driving situation when the driving information of the device is input. 4. The information processing device according to any one of 1 to 3 . The information processing device according to claim 1 or 2, wherein the device is a submersible pump included in a manhole pump device. The driving situation is classified into either a normal state or multiple types of abnormal states ,
The derivation unit derives a classification result of the operating status for the operating information of the submersible pump based on a learning model that is trained to output an operating status when operating information of the submersible pump is input. ,
The generating unit determines the size of a character representing the driving situation corresponding to each type according to the number of occurrences of each type of the driving situation derived by the deriving unit in the predetermined period. Item 5. Information processing device according to item 5 . The information processing device according to claim 1 , wherein the generation unit generates the screen information that displays the period and the character information in the period in association with each other. The information processing device according to any one of claims 1 to 5, further comprising a reception unit that accepts designation of the period. The information processing apparatus according to claim 1 , wherein the generation unit generates the screen information that displays a list of the plurality of devices and the character information for each device in association with each other. The information processing device according to claim 1 , wherein the generation unit generates the screen information that displays a list of a plurality of periods and the character information for each period in association with each other. The position of the device is associated with the operating status,
The generation unit generates the screen information that displays a position object superimposed on the position of the device on the map image and the text information representing the driving situation associated with the position of the device in association with each other. The information processing device according to any one of claims 1 to 10 . The position object includes a size of a character representing the driving situation included in the character information,
The information processing device according to claim 11 , wherein the information processing device is displayed using a display mode associated with at least one of a color and a position. Any one of claims 1 to 12 , wherein the generation unit generates the screen information in which the font, color, or position of characters representing the driving situation is varied depending on the type or number of occurrences of the driving situation. The information processing device described in section. Based on the values detected by the measuring equipment, the operating status including the normal state of the equipment and multiple types of abnormal states is derived,
storing the derived driving situation;
Driving situation names representing the driving situation for each type of driving situation including a normal state and a plurality of types of abnormal states, based on the driving situation in a stored predetermined period and according to the number of occurrences of each type of driving situation. Generates screen information that includes font information with different font sizes,
An information processing method that outputs the generated screen information. Based on the values detected by the measuring equipment, the operating status including the normal state of the equipment and multiple types of abnormal states is derived,
storing the derived driving situation;
Driving situation names representing the driving situation for each type of driving situation including a normal state and a plurality of types of abnormal states, based on the driving situation in a stored predetermined period and according to the number of occurrences of each type of driving situation. Generates screen information that includes font information with different font sizes,
A computer program for causing a computer to execute a process of outputting the generated screen information.

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