JP7365980B2 - Cleaning work support system and cleaning work support device - Google Patents

Description

The present invention relates to a cleaning work support system and a cleaning work support device.

Performance management of cleaning work for buildings and facilities is often done simply by checking cleaning items and recording the date and time of work results, while the cleaning work itself tends to rely on the experience and independent judgment of the workers.
The disadvantages of this are that the cleaning work becomes monotonous as the workers get used to it and focus only on completing the items, and the results after cleaning may vary depending on the worker.

Furthermore, the level of dirt on the site often varies depending on external factors such as weather and foot traffic, and workers are often unable to make detailed judgments about the local situation until they arrive at the site.
As a result, cleaning equipment, equipment, and number of workers may be prepared more than necessary, or conversely, equipment, tools, and number of workers may be insufficient and the cleaning work may not be completed within the scheduled time. be.

Patent Document 1 describes an image processing system that can be used to control a cleaning robot that automatically cleans a room.
The technology described in Patent Document 1 monitors tracking information that is updated from time to time, and identifies an area in a room where a person has been present for a large amount of time based on the monitoring results. The cleaning robot is then controlled to focus on cleaning that area.

Japanese Patent Application Publication No. 2017-091127

Although the technology described in Patent Document 1 takes into account the length of time a person to be tracked stays in a specific area when controlling the cleaning robot, it takes into account the number of people present in the specific area to be cleaned and the flow of people. The use of analysis results to support cleaning work is not considered.

The present invention provides a cleaning work support system and cleaning work that can efficiently complete cleaning work by reducing differences in cleaning results due to the experience and individual differences of cleaning workers even when there is a change in the local environment. The purpose is to provide support equipment.

In order to solve the above problems, for example, the configurations described in the claims are adopted.
The present application includes a plurality of means for solving the above problems, and to give one example, the cleaning work support system of the present invention includes a cleaning work support management server, a computer device of an administrator, and a cleaning worker's work. This is a cleaning work support system in which personal terminals are connected via a network, and cameras are installed in facilities.

The cleaning work support management server includes a work plan management unit used by the facility manager himself to create a work plan for cleaning work using the manager's computer device;
Based on image information data from cameras installed in the facility, it determines the degree of dirt in the area to be cleaned, and also detects cases where moving objects or people are repeatedly moving back and forth within a certain section of the room to be cleaned. The work environment determination unit detects motion and creates additional work procedures to focus cleaning on the area where the motion was detected, and the facility manager himself manages the work plan using the manager's computer equipment. A work procedure management department that is used to create work procedures including the number of workers and equipment for the areas to be cleaned in the facility , based on the work plan created by the department and the degree of dirtiness of the cleaning area determined by the work environment evaluation department. and the environment used when adding the work procedure if the cleaning worker evaluates that the work procedure created by the work procedure management department and the work procedure added by the work environment judgment department are appropriate. and a learning data management section that obtains learning data of determination results, and sends the work procedure created by the work procedure management section to the cleaning worker's worker terminal.

According to the present invention, cleaning workers can grasp the degree of dirt in the cleaning area before cleaning, so they can carry out the cleaning within the predetermined working time and the necessary equipment (cleaning tools, etc.) at the work site. Easily determine the number of people needed to complete the project.
Note that problems, configurations, and effects other than those described above will be made clear by the description of the embodiments below.

FIG. 1 is a functional block diagram showing an example of the overall configuration of a cleaning work support system according to an embodiment of the present invention. 1 is a diagram showing a hardware configuration of a cleaning work support management server related to a cleaning work support system according to an embodiment of the present invention. 1 is a flowchart showing a processing procedure from creation of a work plan to completion of on-site cleaning work in a cleaning work support system according to an embodiment of the present invention. An image screen of the cleaning work procedure distributed to the worker from the cleaning work support system according to an embodiment of the present invention and an image screen with added procedures recommended by the cleaning work support system are displayed on the worker's smartphone. It is a diagram when displayed on a computer or a tablet terminal. FIG. 2 is a diagram showing a data structure of a work plan storage area table of a cleaning work support system according to an embodiment of the present invention. FIG. 2 is a diagram showing a data structure of a work procedure storage area table of a cleaning work support system according to an embodiment of the present invention. FIG. 2 is a diagram showing a data structure of a work record storage area table of the cleaning work support system according to an embodiment of the present invention. FIG. 2 is a diagram showing a data structure of an entry/exit information storage area table of the cleaning work support system according to an embodiment of the present invention. FIG. 3 is a diagram showing a data structure of an image processing result storage area table of the cleaning work support system according to an embodiment of the present invention. FIG. 2 is a diagram showing a data structure of a work environment determination storage area table of the cleaning work support system according to an embodiment of the present invention. FIG. 2 is a diagram showing a data structure of a learning data storage area table of a cleaning work support system according to an embodiment of the present invention.

An embodiment of the cleaning work support system of the present invention (hereinafter referred to as "this example") will be described below with reference to the drawings.

<Overall configuration of cleaning work support system and explanation of building/facility 1>
FIG. 1 is a functional block diagram showing the overall configuration of a cleaning work support system according to this example.
In the cleaning work support system of this example, the cleaning work support management server 19, the building/facility 1, the smartphone or tablet terminal 18 carried and used by the worker, and the administrator's computer device 17 are connected to a network line N such as the Internet. It is connected.

The building/facility 1 is, for example, a building/facility (for example, Building A) used by users such as employees, customers, and residents. The smartphone or tablet terminal 18 (hereinafter referred to as "worker terminal 18") is a portable information terminal used by a cleaning worker when performing cleaning work. The computer device 17 is a computer device used by an administrator, and is usually placed on the management floor of the building/equipment 1 (for example, the floor of a management company, owner, etc.).

In FIG. 1, the first floor reception/lobby 3 and the na floor of Building A are shown as building/facility 1. Buildings/facilities 1 include various types of buildings, such as company buildings where company employees (hereinafter referred to as "employees") commute, commercial facilities where many users visit, and apartments where residents live. Possible buildings and facilities.

Hereinafter, a description will be given assuming that the building/facility 1 in the cleaning work support system of this example is a company building.
Inside the building/facility 1, communications from a communication device 13 connected to the network line N and surveillance security cameras (including environmental cameras, hereinafter simply referred to as "cameras" or "security cameras") are consolidated. A CAM communication network 11 is provided for the authentication, and a CR communication network 12 is provided for consolidating communications from authentication devices such as card readers (hereinafter referred to as "CR") and biometric authentication devices.

An authentication device (entrance/exit gate) 7A is installed in the reception/lobby 3 on the first floor of the building/facility 1 (Building A) to authenticate workers to enter the building. The worker holds the ID card over the CR device of the authentication device 7A. The authentication device 7A acquires the user information of the worker from the ID card, and transmits this user information from the CRL (LAN line of the card reader) 7B and the CR communication network 12 to the cleaning work support management server 19 via the communication device 13. do.

Furthermore, a camera 9A for capturing moving images for monitoring is installed in the first floor reception/lobby 3 of the building/facility 1 (Building A). The moving image photographed by the camera 9A is transmitted from the CAM (camera LAN) 9B and the CAM communication network 11 to the cleaning work support management server 19 via the communication device 13.
Note that here, the image taken by the camera 9A is a moving image, but the image taken by the camera 9A is not necessarily limited to a moving image. It may also be a series of still images taken at predetermined time intervals, such as snapshots.

Furthermore, on the na floor 2 of Building A, there are a plurality of conference rooms 2A to 2C, common spaces 2D to 2E, and an elevator 5. For example, the entry/exit door to the conference room 2A is electronically locked, and when entering the conference room 2A, a worker must hold his or her ID card over the CR device 4A installed on the door.

The CR device 4A acquires the employee's user information from the ID card, and cleans the acquired employee's user information from the CRL 4C, which is the LAN line of the card reader (CR), and from the CR communication network 12 via the communication device 13. It is sent to the business support management server 19.

When a worker leaves the conference room 2A, he holds his ID card over the CR device 4B installed on the door of the conference room 2A. Then, the CR device 4B acquires the user information of the worker from the ID card, and transmits the user information from the CRL 4C and the CR communication network 12 to the cleaning work support management server 19 via the communication device 13.

The other conference rooms 2B and 2C are also equipped with CR devices similar to the CR devices 4A and 4B.
Note that, as with the authentication device 7A in the reception/lobby 3, various authentication methods such as biometric authentication can be used as the CR device 4A and the CR device 4B.

Cameras 6A and 6C that take moving images for monitoring and image analysis processing are also installed on the na floor 2 of building/facility 1 (Building A). The moving images taken by the cameras 6A and 6C are transmitted from the CAMs 6B and 6D and the CAM communication network 11 to the cleaning work support management server 19 via the communication device 13.

On the na floor 2 of building/facility 1 (Building A), there is a shared space 2D and a free space 2E.A table and display are provided near the common space 2D, and a handrail 10A is provided near the free space 2E. is set up.
Furthermore, in the building/facility 1 (Building A), a staircase 10A with a handrail is provided on each floor, and the staircase 10A has a landing midway between each floor.

The manager of the building/facility 1 has a computer device 17 that can be connected to a cleaning work support management server 19 via a communication device 14 and a network line N.
Then, the manager of the building/facility 1 connects the computer device 17 to the cleaning work support management server 19 and creates a cleaning work plan for each floor of the building/facility 1 (Building A).

Further, the cleaning worker has a worker terminal 18 that can be connected to the cleaning work support management server 19 via the communication device 15 and the network line N. Using this worker terminal 18, the worker cleans each floor of the building/facility 1 (for example, the reception/lobby on the first floor) based on the cleaning procedure distributed from the cleaning work support management server 19. do.

The cleaning work support system in this example enables workers to improve their cleaning work by distributing work plans and work procedures drawn up by building/facility 1 managers, as well as constantly changing local environmental information to cleaning workers. It becomes possible to provide support.

<Configuration and functions of cleaning work support management server 19>
The cleaning work support management server 19 includes a communication device 16 that connects to the network line N, a control device 20, a work plan management section 21, a work procedure management section 22, a work performance management section 23, a weather information acquisition section 24, and an entry/exit system. It includes a management section 25, an image analysis processing section 26, a work environment determination section 27, a learning data management section 28, and a database 29.

The database 29 includes a work plan storage area 29a, a work procedure storage area 29b, a work results storage area 29c, an entry/exit information storage area 29d, an image processing result storage area 29e, a work environment judgment storage area 29f, and a learning data storage area 29g. A storage area is provided. Although not shown in FIG. 1, the database 29 also appropriately stores moving image data taken by a camera installed in the building/facility 1.

In the cleaning work support system of this example, the manager of the building/facility 1 connects his computer device 17 to the cleaning work support management server 19 via the network line N, and cleans the building/facility 1 that is the subject of management. Create a work plan for the scheduled work day, and create work procedures for cleaning work according to the work plan. It should be noted that the scheduled work dates may include scheduled work dates in fixed cycle units such as every day, one week, and one month.

The created cleaning work procedure is then delivered to the worker's worker terminal 18 via the network line N, etc., and the worker actually performs the cleaning work based on the delivered procedure. , input work results from the worker terminal 18.
Further, the work results input by the workers are stored in the database 29 in the cleaning work support management server 19, and the administrator can manage the work results of the workers using the computer device 17.

Various methods of providing information in the cleaning work support system of this example can be considered, such as an application using an executable file in the exe file format, and a Web application that is used by connecting to a browser.

In addition, the cleaning work support management server 19 acquires entry/exit information data and video data from the authentication device and camera installed in the building/facility 1 to be cleaned, executes analysis, and analyzes the building/facility at the time of analysis. 1. Determine the state of the cleaning work environment.

Then, the cleaning work support management server 19 creates additional cleaning procedures that are required based on the determined state of the work environment (for example, there is more dirt than usual due to heavy rain), and creates cleaning procedures that are additionally required. Additional cleaning procedures may also be suggested.
Approval of whether or not to actually distribute the additional procedure proposed by the cleaning work support management server 19 side to the worker terminal 18 in this example is ultimately determined by the administrator using his or her own computer device 17. .

Furthermore, the cleaning work support management server 19 determines whether the procedure proposed by the cleaning work support management server 19 was actually performed by the cleaning worker and whether the proposed procedure was appropriate based on the history of work results input by the worker. Evaluate and accumulate as learning data.
In other words, the cleaning work support management server 19 performs more optimal cleaning for the target building/facility 1 using preset thresholds for determining the working environment state and accumulated learning data. Create procedures and propose them to management.

<Control device 20>
The control device 20 sends the entry/exit information received via the communication device 16 and obtained by the CR device or biometric authentication device installed on each floor of the building/facility 1 to the entry/exit management section 25 .
Further, the control device 20 receives moving image data taken by a security camera installed in the building/facility 1 via the communication device 16 and sends it to the image analysis processing section 26 .

Further, the control device 20 is connected to the administrator's computer device 17 and the worker's worker terminal 18 via the communication device 16 and the network line N.
The administrator can create a cleaning work plan using the work plan management section 21 from his own computer device 17 via the control device 20, and further creates a cleaning procedure using the work procedure management section 22. be able to.

Further, the control device 20 transmits the cleaning work procedure created by the administrator using the work procedure management unit 22 to the worker terminal 18. Thereby, the cleaning worker can carry out the cleaning work while viewing the work procedure (details will be described later with reference to FIG. 4) displayed on the worker terminal 18. Note that the worker inputs the cleaning work performance into his/her own worker terminal 18 and sends it from the control device 20 to the work performance management section 23 via the network line N.

As described above, the control device 20 is connected via the network line N to the building/facility 1, the manager's computer device 17, and the worker terminal 18, as well as the work plan management section 21 and the work procedure management section 22. , the work performance management section 23, the weather information acquisition section 24, the work environment determination section 27, the learning data management section 28, and the database 29.

<Work plan management department 21>
The work plan management section 21 is used by the manager of the building/facility 1, as described above. That is, the manager of the building/facility 1 can access the work plan management section 21 by connecting his computer device 17 to the cleaning work support management server 19 via the Internet line N and the communication device 14.

The work plan management unit 21 collects address information regarding the building/facility 1 to be cleaned, floor information such as office rooms, conference rooms, and toilets inside the building/facility 1, or equipment information such as cameras, CR devices, and authentication devices. is stored in the work environment determination storage area 29f of the database 29 via the control device 20, and can be referenced.

In addition, the work plan management unit 21 receives, via the control device 20, the scheduled date and implementation cycle for cleaning work for each floor of the building/facility 1 to be cleaned, created by the administrator, and controls the work plan. The information is stored from the device 20 into the work plan storage area 29a of the database 29. The manager of the building/facility 1 can later refer to and modify or change the work plan stored in the work plan storage area 29a using his own computer device 17.

<Work procedure management department 22>
The work procedure management unit 22 receives from the control device 20 the actual cleaning procedure of the cleaning target area of the building/facility 1 created by the administrator using the computer device 17, and stores the actual cleaning procedure in the database 29 via the control device 20. It is stored in the procedure storage area 29b.

That is, the administrator accesses the work procedure management section 22 via the control device 20 using his/her own computer device 17 and, based on the work plan created by the work plan management section 21, determines the cleaning work procedure for the floor to be cleaned. create. Then, the work procedure management unit 22 stores the created cleaning work procedure in the work procedure storage area 29b via the control device 20.

The cleaning work procedure stored in the work procedure storage area 29b is linked to the work plan created by the work plan management section 21. Further, as described above, the administrator can refer to the work procedure stored in the work procedure storage area 29b using his own computer device 17 and modify or change it later.

<Work performance management department 23>
The worker actually performs the cleaning work according to the cleaning procedure distributed to the worker terminal 18, and inputs the work performance into the performance check and required time fields on the image screen of the worker terminal 18 shown in FIG. 4, which will be described later.

Then, the worker transmits the information from the worker terminal 18 to the cleaning work support management server 19 via the communication device 15 and the network line N. Then, the work performance management unit 23 of the cleaning work support management server 19 stores the received worker performance data in the work performance storage area 29c of the database 29 via the control device 20.

The data stored in this work record storage area 29c is used as a work history by the administrator's computer device 17 and the worker's worker terminal 18. Further, the administrator can use the computer device 17 to refer to the data stored in the work performance storage area 29c to check the performance of the cleaning work performed by the worker.

<Weather information acquisition unit 24>
The weather information acquisition unit 24 of the cleaning work support management server 19 acquires weather information. The weather information acquired by the weather information acquisition section 24 is used as information when the work environment determination section 27 determines the degree of dirtiness of the building/facility 1 to be cleaned, as will be described later.
That is, the weather information acquisition unit 24 periodically obtains precipitation (mm) from weather information websites provided by the Japan Meteorological Agency or the Japan Weather Association via the network line N, the communication device 16, and the control device 20. , wind speed (m/s), temperature (°C), and humidity (%). The acquired data is then stored in the work environment determination storage area 29f of the database 29 via the control device 20.

Note that the weather information acquisition unit 24 can arbitrarily set the acquisition source of weather information data. Furthermore, the weather information acquisition unit 24 may select a plurality of acquisition sources to use. In addition, when a plurality of acquisition sources are selected, the adoption criterion for determining which acquisition source's weather information data is to be adopted may be, for example, to adopt an acquisition source that predicts a large amount of precipitation (mm).
The period at which the weather information acquisition section 24 acquires the weather information data can be arbitrarily set by the weather information acquisition section 24, for example, on an hourly basis.

<Entrance/Exit Management Department 25>
When a worker performs an authentication operation by holding their ID card over the CR device 4A, 4B installed in the building/facility 1 to be cleaned or the authentication device 7A which is the entry/exit gate, the worker's entry/exit data (user information) is collected. is transmitted to the cleaning work support management server 19 via the communication device 13, network line N, and communication device 16 in the building/facility 1.

The cleaning work support management server 19 sends the user information received from the building/facility 1 to the entry/exit management section 25 via the control device 20. The entrance/exit management unit 25 compares the received user information with the user information stored in the entrance/exit information storage area 29d (see user Td5 in FIG. 8), and if the user information matches, locks the conference room 2A. A signal to unlock the building/facility 1 is sent to the building/facility 1.

Then, when the conference room 2A in the building/facility 1 is unlocked, the entry/exit management unit 25 determines the entry time or exit time of the worker via the control device 20, as will be described later in FIG. 8. It is stored at the entry time Td6 or the exit time Td7 in the entry/exit information storage area 29d.
Furthermore, when the entry time Td6 and the exit time Td7 are stored, the entry/exit management unit 25 calculates the stay time (in minutes) in the building/facility 1 or the room on each floor, and calculates the stay time (in minutes) in the building/facility 1 or the room on each floor. It is stored in the stay time Td8 (see FIG. 8) of the entry/exit information storage area 29d.

<Image analysis processing unit 26>
Image data including moving images taken by cameras 9A, 6A, 6C, etc. installed in the building/facility 1 registered in the cleaning work support system of this example is connected to the communication device 13 in the building/facility 1 and the network line. The information is transmitted to the cleaning work support management server 19 via N.
The cleaning work support management server 19 sends the received image data to the image analysis processing section 26 via the control device 20. The image analysis processing unit 26 uses the received image data to perform image processing such as human flow analysis, object detection, and moving object detection within the building/facility 1, and uses the control device 20 to transfer the processing results to images in the database 29. It is stored in the processing result storage area 29e.

Furthermore, when a cleaning target location exists within the angle of view of the acquired image data, the image analysis processing unit 26 performs a people flow analysis process on the target location itself or the image data in the vicinity thereof. Then, the image analysis processing section 26 counts the number of people who passed through the area to be cleaned within a certain period of time, and stores the result in the image processing result storage area 29e via the control device 20.

The moving image data captured by the camera 9A or the cameras 6A and 6C is stored in a data storage area (non-volatile storage 34 shown in FIG. 2) such as an internal hard disk (not shown) via the control device 20 by the image analysis processing unit 26. Saved in

In addition, the image analysis processing unit 26 selects a certain period of time in which the people flow analysis is to be performed and a target area in which the people flow analysis is to be performed, and sets a threshold value at that time.
Here, the entire field of view of the camera may be analyzed as the target area for human flow analysis, but it is also possible to mask the area to be image analyzed in advance to reduce the amount of data to be processed.
In addition, as a method of specifying the target area, as will be described later in the image processing example of the security camera 1 shown in Fig. 9, a method that can be considered is to divide the viewing angle into blocks and select the necessary block where there is a large flow of people. It will be done. Another possible method is to specify the target area freehand using a mouse or the like.

Various methods can be considered for object detection in the cleaning work support system of this example. For example, the image analysis processing unit 26 uses a method of detecting an object as an object when an object within a cleaning target location within the field of view of the image data remains stagnant in the vicinity for a certain period of time or more.
Then, the image analysis processing section 26 stores the detected object in the image processing result storage area 29e via the control device 20. At this time, the image analysis processing unit 26 sets a threshold value for the stagnation time and the amount of change in the position determined to be stagnation.

Here, as a threshold value for the people flow analysis, for example, the number of people who are expected to become more dirty can be considered. In other words, if a large number of people pass by, there is a high possibility that it will be determined that there is a lot of dirt, but this threshold value changes depending on the weather. Specifically, if 100 people pass by per hour on a swollen day, the floor may be dirty. On the other hand, on rainy days, if 50 people pass by per hour, the floor may be dirty. In other words, the threshold for determining the presence or absence of dirt is 100 people on a swollen day and 50 people on a rainy day.

Further, the image analysis processing unit 26 can identify the detected object based on characteristic data such as the size, shape, and color of the detected object. For example, the image analysis processing unit 26 can provide more specific and detailed object information to the manager or worker, such as that there is an object the size of a baseball.

Furthermore, the image analysis processing unit 26 can have the feature amount of the object as learning data, or can further add learning data later. In this way, by adding a new function to the image analysis processing section 26, the image analysis processing section 26 can detect the type of object such as a "cup", "plastic bottle", or "can" during image processing. be able to identify.

Furthermore, various methods can be considered for object detection in the cleaning work support system of this example. For example, the image analysis processing unit 26 may detect that an object within the area to be cleaned within the angle of view of the image data is repeatedly moving within a certain range, or that an object that was previously moving remains for a certain period of time. If the object stays still, it will be treated as a moving object detection. Then, the processing results are stored in the image processing result storage area 29e via the control device 20.

At this time, the image analysis processing unit 26 determines whether to determine that the object is moving or is staying when the object moves a certain distance or the moving object stops. Set the threshold for For example, the threshold for moving object detection is a specific distance or time, such as a moving distance of 1 meter or more, or a period of standing still for 1 minute or more.

<Work environment determination unit 27>
The work environment determination unit 27 determines the degree of dirt in the cleaning area and the presence of dirt or obstacles based on the weather information data acquired by the weather information acquisition unit 24 and the data processed by the image analysis processing unit 26. do.
Then, the work environment determination unit 27 stores the determination result in the work environment determination storage area 29f in the database 29 via the control device 20.

After storing the determination results regarding the degree of dirt in the cleaning area and the presence of dirt or obstacles, the work environment determination unit 27 calls a cleaning procedure (hereinafter referred to as basic procedure) stored in the work procedure storage area 29b. . This basic procedure is created in advance by the administrator using the work procedure management unit 22 on the computer device 17, and is stored in the work procedure storage area 29b.
The work environment determination unit 27 adds the procedure determined to be necessary to be added to the basic procedures stored in the work procedure storage area 29b, the equipment (tools, appliances) and the number of people required for the added procedure, and adds the procedure to the basic procedure stored in the work procedure storage area 29b. 20 and stored in the work procedure storage area 29b.

The work procedure determined to be necessary to be added by the work environment determination unit 27 is transmitted to the worker from the cleaning work support management server 19 via the control device 20, the communication device 16, and the network line N before the worker starts the work. It is distributed to the worker terminal 18.
Note that the work environment determination unit 27 also sets the timing for final determination of the work environment and distribution of additional procedures.
The details of the procedures added by the work environment determination unit 27 will be described later using the image screen im2 for distributing recommended procedures to cleaning workers shown in FIG.

Here, the image analysis processing unit 26 executes image processing such as object detection and moving body detection on the received moving image data. Specific examples of this object detection and moving body detection are as follows. .
For example, in the case of object detection, the work environment determination unit 27 detects dirt on the floor, which is a location to be cleaned, or dirt to the extent that the color of the floor changes. It also detects the presence in the on-site image of objects such as desks and chairs that are normally placed during events in the building/facility 1 and become obstacles during cleaning work.
In such a case, the work environment determination unit 27 adds a new procedure to the cleaning procedure, which is the basic procedure, so that the cleaning procedure determined based on the work environment can be explained to the manager and the worker before the cleaning work. Can be notified.

In the case of moving object detection, the work environment determination unit 27 detects when a moving object or a person is repeatedly moving back and forth within a certain section of the room to be cleaned. In such a case, the work environment determination unit 27 may take additional steps to focus on cleaning the area where the moving object was detected, or if the person who was moving remains near the handrail for a certain period of time. may add additional steps, such as disinfecting handrails.

<Learning data management section 28>
If the worker actually performs the work of the procedure added by the work environment determination unit 27 and the worker evaluates that the additional procedure was appropriate, the learning data management unit 28 uses the information to be used when adding the procedure. The environment determination results are stored in the learning data storage area 29g in the database 29 via the control device 20.
The learning data stored in the learning data storage area 29g can be referenced by the administrator's computer device 17. Further, this learning data is reflected in a new threshold value when the work environment determination unit 27 determines the work environment.

At this time, in the work environment determining section 27, the previously set threshold value is updated to a new threshold value stored in the learning data storage area 29g. In this way, by updating the conventional threshold value to the new threshold value of the procedure when actually performing the work, the work environment determination unit 27 can add a more optimal work procedure. Become.
Note that various methods can be considered for updating the threshold value by the work environment determination unit 27, such as determining it based on the average or statistics of a plurality of accumulated data.

<Hardware configuration of cleaning work support management server 19>
FIG. 2 is a diagram showing the hardware configuration of the cleaning work support management server 19, which is the main component of the cleaning work support management system of this example.
As shown in FIG. 2, the cleaning work support management server 19 uses a CPU (Central Processing Unit) 31, a ROM (Read Only Memory) 32, a RAM (Random Access Memory) 33, and a non-volatile storage 34 connected to a bus 30. configured.

The CPU 31 reads from the ROM 32 a program code of software that implements the functions of the cleaning work support management server 19, and executes arithmetic processing. Variables generated during arithmetic processing performed by the CPU 31 are temporarily written into the RAM 33 . The CPU 31 implements the functions of the cleaning work support management server 19 by executing program codes recorded in the ROM 32.

The nonvolatile storage 34 is composed of a nonvolatile memory such as an SSD (Solid State Drive). This nonvolatile storage 34 stores programs, data, etc. necessary for the CPU 31 to operate. Each storage area provided in the database 29 described in FIG. 1 is formed in this nonvolatile storage 34.

The cleaning work support management server 19 also includes a communication interface (communication section IF) 35. As the communication interface 35, for example, a NIC (Network Interface Card) or the like is used. This communication interface 35 is hardware for realizing the communication device 16 in FIG.

That is, information is transmitted and received between the cleaning work support management server 19 and the building/facility 1, the manager's computer device 17, and the worker's worker terminal 18 via the communication interface 35. Further, weather information and the like from WebB are input to the cleaning work support management server 19.

<Processing flow>
Next, with reference to FIG. 3, a cleaning work support method, which is a processing flow of the cleaning work support system of this example, will be described.
First, the manager of the building/facility 1 connects his/her own computer device 17 to the work plan management section 21 of the cleaning work support management server 19 to check the work plan (scheduled cleaning work date, etc.) for the building/facility 1. Create (step S1). Here, a work plan is formulated, such as which areas of the building/facility 1 should be cleaned by workers and when, and who should be the cleaning company in charge.

Next, the administrator of the building/facility 1 connects the computer device 17 to the work procedure management unit 22 and creates a cleaning procedure for cleaning each floor or room to be cleaned in the building/facility 1 (step S2 ). For example, as will be described later with reference to FIG. 6, the manager formulates work procedures such as how to clean the reception lobby of the building/facility 1 and how many workers and equipment to secure for that purpose. The above steps S1 and S2 are procedures that are formulated by the administrator before the day when the building/facility 1 is to be cleaned.

Next, the cleaning work support management server 19 acquires the local situation of the building/facility 1 to be cleaned (step S3). When acquiring the local situation in step S3, the weather information acquisition section 24, entry/exit management section 25, and image analysis processing section 26 of the cleaning work support management server 19 are used.
That is, as already mentioned, the weather information acquisition unit 24 acquires the weather forecast for the day of cleaning in the vicinity of the building/facility 1 where cleaning work is to be performed from websites provided by the Japan Meteorological Agency or the Japan Weather Association.

The entry/exit management unit 25 acquires entry/exit information data for each floor or room to be cleaned in the building/facility 1.
The image analysis processing unit 26 uses video data taken by cameras 9A, 6A, 6C, etc. installed in the building/facility 1 to generate images for understanding the flow of people, movement of goods, and stagnation on the day. Perform analysis processing. That is, the image analysis processing unit 26 obtains judgment data such as human flow analysis, object detection, and moving body detection based on the acquired moving image data. The above is the acquisition of the local situation in step S3.

Next, the work environment determination unit 27 uses the weather information data, room entry/exit information data, and video data acquired in step S3 to determine whether the work environment is Determine the degree of contamination and the presence of dirt or obstructions. Then, the work environment determination unit 27 calculates the steps necessary for the cleaning work, and the tools, instruments, and number of people necessary for the steps (step S4).

Then, if the work environment determination unit 27 determines that an additional procedure is required to the cleaning procedure created in step S2 based on the result determined in step S4, the work environment determination unit 27 adds the work procedure created in step S2 to the cleaning procedure created in step S2. The additional work procedure is reflected (step S5).

Subsequently, the cleaning work support management server 19 distributes the cleaning procedure including the additional work procedure created in step S5 to the worker terminal 18 of the worker (step S6).
Using the worker terminal 18, the worker cleans the target area in the building/facility 1 based on the distributed cleaning procedure, and transmits the actual performance data and evaluation results for the additional procedures to the worker terminal. 18 (step S7).

The cleaning work performance data input into the worker terminal 18 is sent to the work performance management section 23 of the cleaning work support management server 19. The work performance management unit 23 stores this performance data in the work performance storage area 29c of the database 29 via the control device 20.
The manager refers to the work history management section 23 using his own computer device 17 and manages the work history of the performance data transmitted from the worker terminal 18 (step S8).

Next, the learning data management unit 28 of the cleaning work support management server 19 selects, from the work history managed by the administrator in step S8, procedures that the administrator thinks should be added to the conventional work procedures. In other words, the procedure that the administrator evaluates as needing to be added is set as learning data (step S9). Then, the learning data management unit 28 stores the learning data created in step S9 in the learning data storage area 29g via the control device 20.

Next, the administrator refers to the learning data created in step S9 using his/her own computer device 17 and approves whether or not the applicant can be hired (step S10). Then, the work environment determination unit 27 updates the threshold value used for environment determination as necessary.
That is, in addition to approving whether or not the learning data can be adopted, step S10 also includes approving updating the threshold value, which is a criterion for determining the work procedure reflected in step S5.

Finally, the administrator reviews the work plan and work procedures using his own computer device 17, and the learning data management unit 28 corrects or corrects the work plans and work procedures based on the learning data approved by the administrator. A change is made (step S11).
With this, the series of processes of the cleaning work support management method of this example is completed, and the process returns to step S3 to wait for acquisition of the local situation regarding the new building/facility 1.

<Image screen of cleaning work procedures>
FIG. 4 shows an image screen of the cleaning work procedure distributed from the cleaning work support management server 19 to the worker terminal 18 in the cleaning work support system of this example.
The diagram on the left side of FIG. 4 is a screen im1 that is created by the administrator using the computer device 17 and shows the basic procedure of an image of distributing procedures to cleaning workers.
On the other hand, the diagram on the right side of FIG. 4 shows that the cleaning work support management server 19 recommends work procedures that are added by the administrator after considering the local situation surrounding the building/facility 1. This is an image screen im2 showing the procedure.

The worker presses a "start work" button on the display screen of the worker terminal 18 when starting the cleaning work. When the worker presses the work start button, the work start time is input. In the left screen of FIG. 4, the work start time is displayed as "2020 7/31 09:00:00". This shows that the cleaning start time by the worker is 9:00 am on July 31, 2020.

The worker performs cleaning according to the work items shown in the cleaning procedure on the left screen of FIG. 4 displayed on the worker terminal 18, and when each work item is completed, activates the check box for checking the performance. When the checkbox is enabled, the time is automatically entered in minutes in the required time column for each cleaning procedure (work item) shown in (1) to (10). Note that if there are any notifications for each work item, the worker can press the comment button and enter the necessary information in the comment input field that is displayed. Note that the content of the comment will be described later with reference to FIG. 11.

After completing all the work items listed in the cleaning procedure, the worker presses the "send results" button. When the worker presses the results transmission button, the work end time is automatically input. Note that the required time for each work item may be manually changed before the results transmission button is pressed.

The performance information input by the worker into the worker terminal 18 may be temporarily stored in the temporary memory or browser of the worker terminal 18.
The input performance data is transmitted to the cleaning work support management server 19 via the Internet line N and the communication device 15 when the performance transmission button is pressed. The work performance management unit 23 of the cleaning work support management server 19 receives this via the communication device 16 and the control device 20, and stores the received performance data in the work performance storage area 29c via the control device 20.

In addition, by pressing the "Image acquisition" button on the procedure delivery image screen im1 displayed on the worker terminal 18, the worker can download a video of the site to be cleaned (for example, the first floor reception/lobby 3 of Building A). You can refer to the latest images including.
For example, the latest images of the site displayed on the procedure distribution image screen im1 include moving image data and snapshots that are accumulated from time to time in a built-in hard disk (not shown) connected to the image analysis processing unit 26 of the cleaning work support management server 19. etc. are included.

If the object to be cleaned is outdoors, the worker can check the weather conditions, such as whether it is raining, at any time by referring to the latest images of the site using his or her own worker terminal 18. Furthermore, if the object to be cleaned is indoors, the worker can check changes in the work environment at any time, such as the presence or absence of dirt, dust, or obstacles within a visible range.

The diagram on the right side of FIG. 4 is a procedure distribution image screen im2 showing recommended procedures for cleaning workers. The procedure distribution image screen im2 showing the recommended procedure shows an example in which a procedure is added by the work environment determination unit 27 to the procedure distribution image screen (basic procedure) im1 to the cleaning worker. Note that, as described above, the procedure distribution image screen (basic procedure) im1 to the cleaning worker is a cleaning procedure created in advance by the administrator.

Specifically, on the procedure distribution image screen im2 showing the recommended procedure, the weather information acquisition unit 24 provides weather information near Building A to be cleaned, such as "Rain (50 mm), Temperature 30°C, Humidity 100%. , wind speed 8 m/s" is displayed.

Further, the work environment determination unit 27 sets a threshold value in the data of the human flow analysis results, such that, for example, if an average of 150 or more people pass through the target area in one hour, the floor dirt is determined to be "heavy".
Then, the work environment determination unit 27 determines that there is a lot of floor dirt based on the data "Rain (50 mm)" and the data of the people flow analysis results with the threshold set, and determines that there is a lot of floor dirt in the basic procedure im1. Add recommended steps between "Sweep the floor." and "(4) Spray floor cleaner on the lobby floor."

As shown in the right diagram of Figure 4, the recommended procedures added here include, for example, step (*1) <Person flow analysis>: ``The [a-b-e-i] section is rain and Since it is dirtier than usual due to the amount of traffic, a special detergent will be sprayed.Equipment: Detergent for limescale and mud stains, mop for spraying, Equipment: -, Number of people: 3"A new work procedure will be displayed. .
Furthermore, as the procedure (*2), a new work procedure such as "Wipe the lobby floor in the [a-be-i] section. Equipment: - Equipment: Cleaning machine Number of people: 2" is displayed.

The worker executes the procedure additionally displayed on the screen of his/her own worker terminal 18, evaluates the validity of whether the procedure was really necessary, and inputs the result into the evaluation check column. The evaluation check column may be a selection type such as "necessary" or "unnecessary", but as shown in the image screen im2 on the right side of FIG. 4, for example, a numerical value of five levels may be input. In the right diagram of FIG. 4, the numerical value "3" is input for the additional procedure.

Note that in the case of performing a five-level evaluation, the procedure for which a numerical value of "3 or more" is input is adopted as learning data.
The additional procedure acted as learning data is stored as learning data in the learning data storage area 29g of the database 29 by the learning data management unit 28 via the control device 20.

<Data structure of work plan storage area 29a>
The work plan storage area table in FIG. 5 shows the data structure of data stored in the work plan storage area 29a of the database 29.
As shown in FIG. 5, the table in the work plan storage area 29a includes No. field Ta1, building/facility field Ta2, location field Ta3, floor field Ta4, cleaning location field Ta5, responsible contractor field Ta6, and scheduled cleaning date field Ta7. , a start time field Ta8, and an end time field Ta9.

No. Field Ta1 indicates the order of information to be stored in the table. The building/facility field Ta2 stores the name of the building/facility to be cleaned. Although building A is the target here, the target building/facility 1 is not necessarily only building A, but a building other than building A, for example, building B, may also be the target of cleaning.
The location field Ta3 stores which location in building A is the target, and the floor field Ta4 stores what floor the location is on.

Further, the cleaning location field Ta5 stores the cleaning location of the target building/facility 1, and the person in charge field Ta6 stores the person in charge of the cleaning work. Furthermore, the scheduled cleaning date field Ta7 stores the scheduled date on which the cleaning work will be carried out.
The start time field Ta8 and the end time field Ta9 store the scheduled start time of the cleaning work and the scheduled end time of the cleaning work.

<Data structure of work procedure storage area 29b>
The work procedure storage area table in FIG. 6 shows the data structure of data stored in the work procedure storage area 29b of the database 29.
Fields Tb1 to Tb5 in FIG. 6 are the same as fields Ta1 to Ta5 in FIG. 5, and fields Tb11 to Tb13 in FIG. 6 are the same as fields Ta7 to Ta9 in FIG. 5, so a description thereof will be omitted.

However, the work procedure storage area table shown in FIG. 6 stores cleaning procedures for cleaning the floors of the reception lobby on the first floor of building A. That is, the target is No. 1, reception lobby, first floor, floor shown in the first row of the work plan storage area table in FIG. 5.

In addition to the above fields, the work procedure storage area table in FIG. 6 includes the procedure number. It has a field Tb6, a procedure field Tb7, an equipment field Tb8, a number of workers field Tb9, and a scheduled required time field Tb10.

The procedure field Tb7 stores a procedure for actually cleaning the floor of the reception lobby on the first floor of the building A to be cleaned, which was created by the administrator using the work procedure management section 22. Here, as shown in FIG. 6, step numbers 1 to 5 are stored that indicate what the cleaning worker should specifically do.

Furthermore, the equipment field Tb8 stores the equipment and tools necessary for cleaning according to the procedure shown in the procedure field Tb7, and the number of workers field Tb9 stores the equipment and tools required for the cleaning work for each procedure. The number of people is stored.
The scheduled required time field Tb10 stores the scheduled required time for each cleaning procedure.

<Data structure of work record storage area 29c>
The work record storage area table in FIG. 7 shows the data structure of data stored in the work record storage area 29c of the database 29.
Fields Tc1 to Tc7 in FIG. 7 are the same as fields Tb1 to Tb7 in FIG. 6, and fields Tc12, Tc13, and Tc14 in FIG. 7 are the same as fields Tb12, Tb13, and Tb10 in FIG. 6, so explanations are omitted. do.

In addition to the above-mentioned fields, the work performance storage area table has a performance field Tc8, a change field Tc9, a comment field Tc10, a performance date field Tc11, and a performance confirmation field Tc15.

The performance field Tc8 stores performance results for each procedure inputted by the cleaning worker using the worker terminal 18 after performing the actual cleaning work. Here, "OK" is stored for the work results of procedure numbers 1 to 5.
The change field Tc9 stores “Yes” or “No” indicating whether there is a change in the procedure. In response to step 1 in which "Yes" is stored in the change field Tc9, the comment field Tc10 stores the comment "There are no chairs or desks because it is during the event period."

Further, the performance date field Tc11 stores the performance date on which the cleaning worker cleaned, and the performance confirmation field Tc15 stores the result of the confirmation of the work performance by the administrator. Here, "done" indicating that the manager has confirmed the work performance of the cleaning worker using his own computer device 17 is stored.

<Data structure of entry/exit information storage area 29d>
The entrance/exit information storage area table in FIG. 8 shows the data structure of data stored in the entrance/exit information storage area 29d of the database 29.
Fields Td1 to Td4 in FIG. 8 are the same as fields Tc1 to Tc4 in FIG. 7, so a detailed explanation will be omitted.

However, in the table of FIG. 8, No. of the building/facility field Td2. 1~No. Buildings up to No. 3 are Building A; 4 and no. 5 was designated as Building B. This indicates that a normal access control system is used in the cleaning work management system of this example, as a general access control system controls access to different buildings including multiple facilities. It is something.

In addition to the above fields, the entry/exit information storage area table has a user field Td5, an entry time field Td6, an exit time field Td7, and a stay time field Td8.
The user field Td5 stores the name of the user who entered the conference room of each building. For example, in the case of a company conference room, the names of employees or visitors are stored.

The entrance/exit management unit 25 of the cleaning work support management server 19 performs user authentication when the user passes through the CR devices 4A, 4B, entrance/exit gate 7A, etc. of the target building/facility 1, and allows the user to enter the conference room, etc. Manage entry and exit times.

The entry time field Td6 stores the time the user enters the conference room, etc., and the exit time field Td7 stores the time the user leaves the conference room, etc.
Further, the stay time field Td8 stores the time the user stayed in the corresponding building/facility 1 or the conference room on each floor. For example, it is stored that user B stayed in conference room A of building A for 60 minutes.

<Data structure of image processing result storage area 29e>
The image processing result storage area table in FIG. 9 shows the data structure of data stored in the image processing result storage area 29e of the database 29.
The fields Te1 (No.), Te3 (building/facility), Te4 (location), and Te5 (floor) in FIG. 9 are the same as the fields Td1, Td2, Td3, and Td4 in FIG. 8, so their explanation will be omitted.

In addition to the above fields, the image processing result storage area 29e includes a video equipment field Te2, a people flow analysis field Te6, a moving body detection field Te7, an object detection field Te8, a corresponding time period video field Te9, and an analysis result example field Te10.

A security camera installed in building A is stored in the video equipment field Te2. Here, it is shown that a security camera 1 is installed in the reception lobby, a security camera 2 is installed in the conference room, a security camera 3 is installed on the 1-2 stairs, and a security camera 4 is installed in the office.
The human flow analysis field Te6 stores the results of the image analysis processing unit 26 analyzing the image data acquired by the security cameras 1 to 4.

Here, the "flow of people" in the flow of people analysis means, for example, the number of people in the section bei in the direction of the entrance and the entrance/exit gate, as shown in the "Image processing example of security camera 1" on the lower left side of Figure 1. The flow of In FIG. 9, people flow analysis "Yes" is stored in the reception lobby on the first floor and the conference room on the fifth floor. The results of actual people flow analysis also include information such as how many people pass through the area per hour.

The moving body detection field Te7 stores the results of detecting whether a person or object moves back and forth or stays in a designated area.
In the object detection field Te8, when an object that does not normally exist in the target area remains for a certain period of time or more, the result of predicting what kind of object it is based on its size and shape is stored.
For example, from the image of the security camera 3, "Present" is stored for both the motion detection and object detection at the stairs on the 1st and 2nd floors of building A.

The corresponding time period video field Te9 stores "Yes" indicating that there is video from the security cameras 1 to 4 in the corresponding time period for human flow analysis, moving body detection, or object detection.
The analysis result example field Te10 stores the results of analyzing the image data of the security cameras 1 to 4. In other words, regarding security camera 1, "the object is stagnant in the [d] section longer than the threshold", that is, the fact that the object continues to exist in the [d] section for a time exceeding the threshold is stored. be done. Furthermore, in relation to the same security camera 1, a fact such as "an average of 150 people passed through the bei section in one hour" is stored.

This example corresponds to the image processing example of the security camera 1 on the lower left side of FIG. In other words, as shown in the diagram on the lower left side of FIG. 9, when the reception lobby is divided into nine areas a to i, an object stagnates in area [d] for more than the threshold time, and It can be seen that an average of 150 people passed through [bei] per hour.

Furthermore, in relation to the security camera 2, the analysis result example field Te10 in FIG. 9 stores the fact that an average of 20 people entered and exited the conference room on the 5th floor per hour. Furthermore, in relation to the security camera 3, it is stored that an object and a moving body were detected near the handrail of the 1-2 stairs, and that a stagnation of about 10 minutes was detected.

An example of image detection by the security camera 3 and its processing is shown in the lower right screen of FIG. That is, as described in the location field Te4 and the analysis result example field Te10, it is shown that a person has been stagnant for about 10 minutes in the section [d] near the handrail of the stairs on the 1st and 2nd floors.

<Data structure of work environment determination storage area 29f>
The work environment determination storage area table in FIG. 10 shows the data structure stored in the work environment determination storage area 29f of the database 29.
Fields Tf1 to Tf5 shown in FIG. 10 are the same as fields Tb1 to Tb5 of the work procedure storage table shown in FIG. 6, and fields Tf11 to Tf13 are the same as fields Te6 to Te8 of the image processing result storage data table of FIG. Therefore, the explanation will be omitted.

In addition to the above fields, the work environment determination storage area 29f has a scheduled cleaning date field Tf6, a weather field Tf7, a wind field Tf8, a temperature field Tf9, a humidity field Tf10, a latest status update time field Tf14, and a recommended procedure field Tf15. .

The scheduled cleaning date field Tf6 stores, for example, that the scheduled cleaning date for the floor of the reception lobby of building A is July 31, 2020.
Weather field Tf7, wind field Tf8, temperature field Tf9, and humidity field Tf10 store weather information acquired by the weather information acquisition unit 24, divided into weather, wind, temperature, and humidity. In other words, the weather is recorded as heavy rain of 70mm, strong wind of 15m/s, temperature of 27℃, and humidity of 100%.

The latest state update time field Tf14 stores that the work environment data was updated at 17:50 on July 31, 2020. 1
Further, the recommended procedure field Tf15 stores recommended procedures for the cleaning worker to perform the work. That is, the recommended procedure field Tf15 determines the level of dirt, obstacles, and the presence of garbage based on the data related to weather information, human flow analysis, object detection, and moving body detection, and determines additional cleaning procedures and information. The tools, equipment, number of people, etc. required to carry out the added procedure are stored.

For example, No. In No. 1, "There is a stagnant object in section d, which may be garbage, so check before step No. 1" is stored as a recommended procedure.
Also, No. Regarding item 3, it is stored as ``Addition of dry mop as there is a possibility that there is a lot of dirt in the bei section due to heavy rain and the human flow analysis result of ``high''''. This recommended procedure corresponds to the contents shown in "Image processing example of security camera 1" on the lower left side of FIG. 9.

Also, No. 1 in FIG. In relation to 5, a recommended procedure is stored that states, ``There is a person who has been near the handrail of the stairs for more than a threshold time, so the handrail will be disinfected.'' This recommended procedure corresponds to the content shown in "Example of image processing of security camera 3" on the lower right side of FIG. 9.

<Data structure of learning data storage area 29g>
The learning data storage area table in FIG. 11 shows the data structure of data stored in the learning data storage area 29g of the database 29.
Fields Tg1 to Tg5 shown in FIG. 11 are the same as fields Tf1 to Tf5 of the work environment determination storage area table shown in FIG. 10, and fields Tg10 to Tg16 are the same as fields Tf7 of the work environment determination storage area table of FIG. - Since it is the same as Tf13, the explanation will be omitted.

In addition to the above-mentioned fields, the learning data storage area 29g includes a cleaning implementation date field Tg6, a required time field Tg7, a non-procedure work field Tg8, a degree of dirt field Tg9, an entrance/exit history field Tg17, a performance (comment) field Tg18, and a cleaning field Tg9. It has a threshold reflection field Tg19. Note that in FIG. 11, all cleaning locations are floor windows.

The implementation date field Tg6 stores the implementation date of the cleaning work by the cleaning worker. For example, No. In case 1, the date February 28, 2020 is stored.
The required time field Tg7 stores the required time required for the cleaning work. No. In case 1, the number "55" indicating 55 minutes is stored.
The non-procedural work field Tg8 stores either "Yes" in which there was a cleaning work other than the originally scheduled work procedure, or "No" in which there was no cleaning work.

The dirt level field Tg9 stores data indicating whether there was a lot of dirt, little dirt, or normal dirt during the cleaning work.
The entry/exit history field Tg17 stores whether there were many people entering and leaving the conference room, etc. (“Many”), whether the number was normal (“Normal”), or whether there were few (“Few”). . For example, in No. 1 in FIG. 11, there were 20 people, so "20" is stored, and No. 2 and no. 3, "normal 30" and "normal 32" are stored because there are 30 and 32 people. No. 4, the number of people entering and exiting is 50, so "50" is stored.

The performance (comment) field Tg18 stores comments of the workers who performed the cleaning work. For example, No. 1 contains a comment from a cleaning worker who said, ``The humidity was high and there was condensation on both the floor and windows, so I needed a dry mop and cloth.''
Also, No. 3, ``(1) It was a stain on the mat, not an obstruction, and was cleaned using a stain remover,'' and ``(2) There was a spilled stain from a cup and drink on the desk near the mat. "Cleaned with special detergent" is stored as a comment.

In the threshold reflection field Tg19, the work environment determination unit 27 determines the next time based on the history of the worker performing the procedures added by the work procedure management unit 22, weather information data, data such as the flow of people, etc. ``Yes'' or ``No'' is stored, indicating whether or not to be reflected in the optimization of the threshold value used for environment determination.
That is, the above-mentioned No. In No. 1, threshold reflection "Yes" is stored, and in No. 1, threshold reflection "Yes" is stored. 3, threshold value reflection "not" is stored.

As mentioned above, the cleaning work support system of this example is a system that supports the work of the workers who actually perform the cleaning, and determines the dirtiness based on changes in the cleaning content based on weather information and the usage status of the facility, and selects cleaning items. Cleaning work can be optimized by adding
Moreover, according to the cleaning work support system of this example, the local situation of the building, facility, etc. to be cleaned can be grasped in advance, so it becomes easy to determine the equipment, tools, and number of people required for cleaning.

Further, the cleaning work support system of this example uses image analysis data of camera images provided in the building/facility 1, thereby reducing the chance of overlooking areas that really need cleaning. Further, according to the cleaning work support system of this example, if there are obstacles or trash in the cleaning area, information for appropriately disposing of them can be provided to the cleaning worker or manager. In addition, by accumulating the work results of cleaning workers, it becomes possible to take appropriate measures when similar phenomena occur, regardless of the person's experience or individual differences.

Although the cleaning work support management system of this example has been described in detail above, the present invention is not limited to the above-described embodiment, and includes various modifications and applications. Further, the above-described embodiments have been explained to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to those having all the configurations described, and other configurations may be used as appropriate. It can also be applied to configuration.

1... Building/facility, 2... na floor (floor number of building/facility), 2A to 2C... room (conference room), 3... 1st floor (reception/lobby), 4A, 4B... CR (card reader) device, 4C ...CR communication LAN, 5...Elevator, 6A, 6C...Camera (security camera), 6B, 6D...Camera communication LAN, 7A...Authentication device (entry/exit gate), 7B...CR communication LAN, 8...Person flow, 9A...Camera (security camera), 9B...camera communication LAN, 10A, 10B...handrail, 11...camera communication network, 12...CR communication network, 13, 14, 15, 16...communication device, 17...computer device, 18...smartphone or tablet Terminal, 19...Cleaning work support management server, 20...Control device, 21...Work plan management section, 22...Work procedure management section, 23...Work performance management section, 24...Weather information acquisition section, 25...Entrance/exit management section, 26... Image analysis processing section, 27... Work environment determination section, 28... Learning data management section, 29... Database (DB), 29a... Work plan storage area, 29b... Work procedure storage area, 29c... Work results storage area, 29d ...Entry/exit information storage area, 29e...Image processing result storage area, 29f...Working environment judgment storage area, 29g...Learning data storage area

Claims (6)

A cleaning work support system in which a cleaning work support management server, an administrator's computer device , and a cleaning worker's worker terminal are connected via a network,
The facility is equipped with cameras.
The cleaning work support management server is
a work plan management unit used by the facility manager himself to create a work plan for cleaning work using the manager's computer device;
Based on the image information data from the camera installed in the facility, the degree of dirt in the area to be cleaned is determined, and if a moving object or person is moving back and forth over a certain section of the room that is the area to be cleaned. a work environment determination unit that detects the situation and creates additional work procedures to focus cleaning on the area where a moving object is detected ;
The manager of the facility himself/herself uses the computer device of the manager to determine whether or not the facility is clean based on the work plan created by the work plan management unit and the degree of dirtiness of the cleaning area determined by the work environment determination unit. a work procedure management department that is used to create work procedures including the number of workers and equipment for the areas to be cleaned;
Used when adding the work procedure when the cleaning worker evaluates that the work procedure created by the work procedure management unit and the work procedure added by the work environment determination unit are appropriate. a learning data management unit that obtains learning data of the environment judgment results,
Sending the work procedure created by the work procedure management unit to the worker terminal of the cleaning worker;
Cleaning work support system. Furthermore, the cleaning work support management server includes a weather information acquisition unit that acquires weather information,
The weather information acquisition unit sends the acquired weather information to the work environment determination unit.
The cleaning work support system according to claim 1. The work environment determination unit reflects the learning data of the environment determination results used when adding the work procedure in a threshold value when determining the work environment.
The cleaning work support system according to claim 1 or 2 . The cleaning work support system according to claim 3 , wherein when the work environment determination unit approves the reflection on the threshold value, the learning data management unit updates the conventionally set threshold value. Furthermore, the facility is equipped with an entry/exit gate as an authentication device for users to enter and exit the facility, and a card reader device for reading the user's ID card,
The cleaning work support management server is equipped with an entry/exit management department,
The cleaning work support according to claim 1, wherein the entry/exit management unit obtains the length of stay on the floor or conference room of the facility based on the time of entry and time of exit from the floor or conference room of the facility to be cleaned. system. A cleaning work support device connected to a facility manager's computer device and a cleaning worker's worker terminal via a network,
a work plan management unit used by the facility manager himself to create a work plan for cleaning work using the manager's computer device;
Based on the image information data from cameras installed in the facility, the degree of dirt in the area to be cleaned is determined, and if a moving object or person is moving back and forth over a certain section of the room that is the area to be cleaned. a work environment determination unit that detects the situation and creates additional work procedures to focus cleaning on the area where a moving object is detected ;
The manager of the facility himself/herself uses the computer device of the manager to determine whether or not the facility is clean based on the work plan created by the work plan management unit and the degree of dirtiness of the cleaning area determined by the work environment determination unit. a work procedure management department that is used to create work procedures including the number of workers and equipment for the areas to be cleaned;
Used when adding the work procedure when the cleaning worker evaluates that the work procedure created by the work procedure management unit and the work procedure added by the work environment determination unit are appropriate. a learning data management unit that obtains learning data of the environment judgment results,
Sending the work procedure created by the work procedure management unit to the worker terminal of the cleaning worker;
Cleaning work support equipment.

Images