Work permission / prohibition determination device, work permission / prohibition determination system, and work permission / prohibition determination method

Abstract

To provide a work permission / prohibition determination device, a work permission / prohibition determination system, and a work permission / prohibition determination method in which permission / prohibition can be determined in accordance with weather including illuminance.SOLUTION: A work permission / prohibition determination device 21 includes a memory 24 that stores a table in which low-risk weather conditions are defined for respective works, and a processor 23 that, on the basis of the table and weather data on a specified date and a specified time in a specified place, identifies a work having a low risk on the specified date and the specified time in the specified place. The weather conditions and the weather data each include illuminance.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a task feasibility determination device, a task feasibility determination system, and a task feasibility determination method. [Background technology]

[0002] When working as a building maintenance technician, beginners learn the work procedures during a certain period of OJT (On-the-Job Training). Because the dangers of the work area change depending on the weather, it is necessary to experience and learn not only the work procedures but also the changes in the work environment (changes in weather) in order to complete the OJT period, which means it takes time before they can work alone.

[0003] The system described in Patent Document 1 includes a judgment device that judges whether or not work is possible. The judgment device judges whether or not the work is possible based on the predicted weather received from a weather information system and the input work information. If the work is possible, the judgment device sends an email to the worker's pre-registered information terminal to the effect that the work is possible, and if the work is not possible, the judgment device sends an email to the information terminals of the worker and the work planner to the effect that the work is not possible. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2008-186382 A Summary of the Invention [Problem to be solved by the invention]

[0005] There are tasks whose possible execution depends on illuminance. Patent Document 1 does not state that the possible execution of a task is determined based on illuminance.

[0006] Therefore, an object of the present disclosure is to provide a work feasibility determination device, a work feasibility determination system, and a work feasibility determination method that can determine whether or not work can be performed depending on weather conditions including illuminance. [Means for solving the problem]

[0007] The work feasibility determination device of the present disclosure includes a memory that stores a table that defines low-risk weather conditions for each task, and a processor that identifies low-risk tasks at a specified location on a specified date and at a specified time based on the table and weather data for the specified location on a specified date and at a specified time, where the weather conditions and weather data include illuminance.

[0008] The work feasibility determination system disclosed herein comprises a work feasibility determination device and a plurality of worker terminals carried by each worker, and the worker terminal comprises a communication device, a display device, and a processor that transmits a work feasibility determination request including a designated location, a designated date, and a designated time to the work feasibility determination device via the communication device, receives a work feasibility determination result from the work feasibility determination device via the communication device, and displays the work feasibility determination result on the display device.

[0009] The work feasibility determination method disclosed herein includes the steps of: a worker terminal sending a work feasibility determination request, including a designated location, a designated date, and a designated time, to a work feasibility determination device; the work feasibility determination device receiving the work feasibility determination request; the work feasibility determination device identifying low-risk tasks at a designated location on a designated date and at a designated time based on a table that defines low-risk weather conditions for each task and the weather at the designated location on the designated date and at the designated time, and creating a work feasibility determination result; the work feasibility determination device sending the work feasibility determination result to the worker terminal; the worker terminal receiving the work feasibility determination result; and the worker terminal displaying the work feasibility determination result. Effect of the Invention

[0010] According to the present disclosure, it is possible to determine whether or not work is possible depending on the weather, including illuminance. [Brief description of the drawings]

[0011] [Figure 1] 1 is a diagram showing a configuration of an operation possibility determination system according to an embodiment; [Diagram 2] 1 is a flowchart showing a processing procedure of a method for determining whether or not a task can be performed according to an embodiment. [Diagram 3] 1 is a diagram showing an example of weather data for a specified date, a specified time, and a specified location received from the weather data providing system 11. FIG. [Figure 4] FIG. 4 is a diagram showing an example of illuminance estimated using the weather data of FIG. 3. [Diagram 5] FIG. 13 is a diagram illustrating an example of a low risk table. [Figure 6] FIG. 13 is a diagram illustrating an example of a work possibility determination result table. [Figure 7] 3 is a flowchart showing a procedure for estimating illuminance in step S107 of FIG. 2. [Figure 8] 1 is a flowchart showing a learning procedure for creating a trained model. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, embodiments will be described with reference to the drawings.

[0013] Embodiment FIG. 1 illustrates a configuration of an operation possibility determination system according to the first embodiment.

[0014] The task possibility estimation system includes a task possibility determination device 21, and worker terminals 31A, 31B, 31C, etc. carried by each worker. The worker terminals 31A, 31B, 31C, etc. may be collectively referred to as worker terminal 31.

[0015] The worker terminal 31 includes a communication device 32 , a memory 34 , a processor 33 , a display device 36 , and an input device 37 .

[0016] The communication device 32 communicates with the work possibility determination device 21.

[0017] The input device 37 accepts input from the user.

[0018] The display device 36 displays the work possibility determination result table transmitted from the work possibility determination device 21.

[0019] The memory 34 stores programs and the like.

[0020] The processor 33 is configured to execute programs stored in the memory 34 .

[0021] The task possibility determination device 21 includes a memory 24, a processor 23, a first communication device 25, and a second communication device 22.

[0022] The first communication device 25 communicates with the worker terminal 31 .

[0023] The second communication device 22 communicates with the weather data providing system 11.

[0024] The memory 24 stores a low risk table, a program, etc. The low risk table defines low risk weather conditions for each task.

[0025] The processor 23 is configured to execute programs stored in the memory 24 .

[0026] The processor 23 identifies a low-risk task at a specified location on a specified date and at a specified time based on the low-risk table and the weather data at a specified location on a specified date and at a specified time. The weather data includes illuminance. The weather data may further include at least one of rainfall, wind speed, and temperature.

[0027] 2 is a flowchart showing the processing procedure of the method for determining whether or not a task can be performed according to the embodiment. Here, it is assumed that a worker X carrying a worker terminal 31A wants to know whether or not each task can be performed. It is assumed that the worker X carries the worker terminal 31A.

[0028] It is assumed that a work feasibility determination table is created in advance and stored in memory 24 of work feasibility determination device 21.

[0029] In step S100, in the worker terminal 31A, the worker X inputs a designated date, a designated time, and a designated location for which the worker X wishes to determine whether or not the worker X can perform the work, via the input device 37. If the designated date is the current date, the designated time is the current time, and the designated location is the worker X's work location, which are registered in advance, step S100 can be omitted.

[0030] In step S101, the processor 33 transmits a determination request signal including the user ID, the specified date, the specified time, and the specified location to the work possibility determination device 21 via the communication device 32.

[0031] In step S102, the first communication device 25 of the work possibility determination device 21 receives a determination request signal including the user ID, the specified date, the specified time, and the specified location.

[0032] In step S103, the processor 23 of the work possibility determination device 21 transmits a weather data provision request signal including the specified date, the specified time, and the specified location to the weather data provision system 11 via the second communication device 22.

[0033] In step S104, the weather data providing system 11 receives a weather data provision request signal including the specified date, the specified time, and the specified location.

[0034] In step S105, the weather data providing system 11 transmits weather data for the specified date, the specified time, and the specified location.

[0035] In step S106, the second communication device 22 of the work feasibility determination device 21 receives the weather data for the specified date, the specified time, and the specified location.

[0036] Fig. 3 is a diagram showing an example of weather data for a specified date, a specified time, and a specified location received from the weather data providing system 11. In the example of Fig. 3, the amount of rainfall, wind speed, temperature, sunrise time, sunset time, and weather are set for each time of the specified date at the specified location, but it is sufficient that the amount of rainfall, wind speed, temperature, and weather for the sunrise time on the specified date, the sunset time on the specified date, and the specified time on the specified date for the specified location are provided.

[0037] In step S107, the processor 23 of the work possibility determination device 21 estimates the illuminance on the specified date, at the specified time, and at the specified location, using the received weather data.

[0038] Fig. 4 is a diagram showing an example of illuminance estimated using the weather data of Fig. 3. In the example of Fig. 4, illuminance is estimated for each time, but it is also possible to estimate only the illuminance at a specified time.

[0039] In step S108, processor 23 of work feasibility determination device 21 refers to a low risk table that defines low risk weather conditions for each work, determines whether each work can be performed at a specified location on a specified date and at a specified time, and creates a work feasibility determination result table. For example, processor 23 identifies work in which the rainfall, wind speed, temperature, and illuminance at a specified location on a specified date and at a specified time satisfy the low risk rainfall, wind speed, temperature, and illuminance conditions defined in the low risk table as low risk work at a specified location on a specified date and at a specified time, and creates a work feasibility determination result table.

[0040] FIG. 5 is a diagram showing an example of a low-risk table. For each task name consisting of a major item and a minor item, a low-risk rainfall, a low-risk wind speed, a low-risk temperature, and a low-risk illuminance are set. The reason why the low-risk temperature condition is set in the daily equipment inspection of the chilled water pump (machine room) is to prevent heat stroke of workers in the machine room, which is prone to high temperatures. The reason why the low-risk rainfall, wind speed, and temperature condition is set in the daily equipment inspection of the exhaust fan (rooftop) is to prevent workers on the rooftop from getting wet in the rain, being blown away, and suffering from heat stroke. The reason why the low-risk rainfall, wind speed, and temperature condition is set in the monthly equipment inspection of the sub-substation (rooftop) is to prevent rainwater from entering the inside of the door, preventing the door from being opened and closed freely by the wind, and preventing workers from suffering from heat stroke, since the door requires opening and closing.

[0041] In step S109, the processor 23 of the work possibility determination device 21 transmits the work possibility determination result table via the first communication device 25 to the worker terminal 31A.

[0042] In step S110, the communication device 32 of the worker terminal 31A receives the work possibility determination result table.

[0043] In step S111, the processor 33 of the worker terminal 31 displays the work possibility determination result table on the display device .

[0044] 6 is a diagram showing an example of a task feasibility determination result table, in which the feasibility of a task is indicated for each task name consisting of a major item and a minor item.

[0045] FIG. 7 is a flowchart showing the procedure for estimating the illuminance in step S107 of FIG.

[0046] In step S301, processor 23 creates input data from the received weather data, including a specified time, a sunrise time on a specified day at a specified location, a sunset time on a specified day at a specified location, and weather at a specified location on a specified day and at a specified time.

[0047] In step S302, the processor 23 estimates the illuminance at the specified location on the specified date and time from the input data using the trained model stored in the memory 24. The trained model is a model that estimates the illuminance at the target time from the target time, sunrise time, sunset time, and weather at the target time. For example, a neural network can be used as the trained model.

[0048] FIG. 8 is a flowchart showing the learning procedure for creating a trained model.

[0049] In step S201, the processor 23 acquires learning data consisting of input data consisting of a time of interest, a sunrise time, a sunset time, and the weather at the time of interest, and teacher data consisting of illuminance at the time of interest. For example, one piece of learning data may be a time of interest of 12 o'clock, a sunrise time of 4:30, a sunset time of 18:47, weather at the time of interest of 2 mm / h (rainfall), 1 mm (wind speed) northeast, 28°C (temperature), fine (weather), and illuminance at the time of interest of 100,000 lux (lux). The weather data may be data provided by a weather data providing system. The illuminance data may be data from an illuminance sensor installed in a building, for example.

[0050] In step S202, the processor 23 uses the learning data to create a trained model that estimates the illuminance at a time of interest from the time of interest, the sunrise time, the sunset time, and the weather at the time of interest.

[0051] According to this embodiment, it is possible to judge whether or not a task can be carried out based on changes in the task danger level due to external environments such as weather, and to notify a novice worker of whether or not the task can be carried out. As a result, even a novice worker can predict the danger of working in an unfamiliar weather environment.

[0052] The above-described embodiment is a specific example of the following supplementary notes.

[0053] (Appendix 1) A memory that stores a table that defines low-risk weather conditions for each task; a processor that identifies low-risk work at a designated location on a designated date and at a designated time based on the table and weather data for the designated location on the designated date and at the designated time, wherein the weather conditions and the weather data include illuminance.

[0054] (Appendix 2) 2. The work feasibility determination device according to claim 1, wherein the weather data further includes at least one of rainfall, wind speed, and temperature.

[0055] (Appendix 3) The weather data includes rainfall, wind speed, temperature, and illuminance; The processor identifies work as low-risk work at the designated location on the designated date and at the designated time, if the rainfall, wind speed, temperature, and illuminance at the designated location on the designated date and at the designated time satisfy the low-risk rainfall, wind speed, temperature, and illuminance conditions defined in the table.

[0056] (Appendix 4) the memory stores a trained model that estimates illuminance at a time of interest from a time of interest, a sunrise time, a sunset time, and weather at the time of interest; The processor estimates the illuminance at the designated location on the designated day and at the designated time using the trained model from data consisting of the designated time, the sunrise time on the designated day at the designated location, the sunset time on the designated day at the designated location, and the weather at the designated location on the designated day and at the designated time.

[0057] (Appendix 5) The processor acquires learning data consisting of input data consisting of a time of interest, a sunrise time, a sunset time, and weather at the time of interest, and teacher data consisting of illuminance at the time of interest, and creates the trained model using the learning data.

[0058] (Appendix 6) 6. The device for determining whether or not an operation is possible according to any one of claims 1 to 5, wherein the specified date is a current date, and the specified time is a current time.

[0059] (Appendix 7) A work possibility determination device according to any one of appendix 1 to 6, A plurality of worker terminals carried by each worker, The worker terminal includes: A communication device; A display device; a processor that transmits a work feasibility determination request, including a designated location, a designated date, and a designated time, to the work feasibility determination device via the communication device, receives a work feasibility determination result from the work feasibility determination device via the communication device, and displays the work feasibility determination result on the display device.

[0060] (Appendix 8) A step in which a worker terminal transmits a work possibility determination request including a specified location, a specified date, and a specified time to a work possibility determination device; a step in which the work possibility determination device receives the work possibility determination request; a step in which the work feasibility determination device identifies a work that is low risk at the designated location on the designated date and at the designated time based on a table that defines low-risk weather conditions for each work and the weather at the designated location on the designated date and at the designated time, and creates a work feasibility determination result; a step of the work possibility determination device transmitting the work possibility determination result to the worker terminal; A step in which the worker terminal receives the work possibility determination result; and a step of the worker terminal displaying the result of the work feasibility determination.

[0061] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present invention is defined by the claims, not the above description, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0062] 11 weather data providing system, 21 work feasibility determination device, 22 second communication device, 23, 33 processor, 24, 34 memory, 25 first communication device, 31, 31A, 31B, 1C worker terminal, 32 communication device, 36 display device, 37 input device.

Claims

1. A memory that stores a table that defines low-risk weather conditions for each task; a processor that identifies low-risk work at a designated location on a designated date and at a designated time based on the table and weather data for the designated location on the designated date and at the designated time, wherein the weather conditions and the weather data include illuminance.

2. The device according to claim 1 , wherein the weather data further includes at least one of an amount of rainfall, a wind speed, and an air temperature.

3. The weather data includes rainfall, wind speed, temperature, and illuminance; 2. The work feasibility determination device of claim 1, wherein the processor identifies work as low-risk work at the designated location on the designated date and at the designated time when the rainfall, wind speed, temperature, and illuminance at the designated location on the designated date and at the designated time satisfy the low-risk rainfall, wind speed, temperature, and illuminance conditions defined in the table.

4. the memory stores a trained model that estimates illuminance at a time of interest from a time of interest, a sunrise time, a sunset time, and weather at the time of interest; 2. The work feasibility determination device according to claim 1, wherein the processor estimates the illuminance at the designated location on the designated day and at the designated time using the trained model from data consisting of the designated time, the sunrise time at the designated location on the designated day, the sunset time at the designated location on the designated day, and weather at the designated location on the designated day and at the designated time.

5. 5. The work feasibility determination device according to claim 4, wherein the processor acquires learning data consisting of input data consisting of a time of interest, a sunrise time, a sunset time, and weather at the time of interest, and teacher data consisting of illuminance at the time of interest, and creates the trained model using the learning data.

6. 2. The operation possibility determination device according to claim 1, wherein the specified date is a current date, and the specified time is a current time.

7. The operation possibility determination device according to claim 1 , A plurality of worker terminals carried by each worker, The worker terminal includes: A communication device; A display device; a processor that transmits a work feasibility determination request, including a designated location, a designated date, and a designated time, to the work feasibility determination device via the communication device, receives a work feasibility determination result from the work feasibility determination device via the communication device, and displays the work feasibility determination result on the display device.

8. A step in which a worker terminal transmits a work possibility determination request including a specified location, a specified date, and a specified time to a work possibility determination device; a step in which the work possibility determination device receives the work possibility determination request; a step in which the work feasibility determination device identifies a work that is low risk at the designated location on the designated date and at the designated time based on a table that defines low-risk weather conditions for each work and the weather at the designated location on the designated date and at the designated time, and creates a work feasibility determination result; a step of the work possibility determination device transmitting the work possibility determination result to the worker terminal; A step in which the worker terminal receives the work possibility determination result; and a step of the worker terminal displaying the result of the work feasibility determination.

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