Danger prediction training system and danger prediction training method

The hazard prediction training system facilitates efficient hazard prediction and pre-work checks for young workers by using a worker terminal and databases to create tailored hazard prediction sheets, mirroring experienced worker performance.

JP2025139043APending Publication Date: 2025-09-26HITACHI BUILDING SYST CO LTD

Patent Information

Application Number
JP2024037761
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-03-12
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

Young workers at construction sites face challenges in efficiently conducting hazard prediction activities and pre-work checks due to limited knowledge, leading to inefficiencies and prolonged time in identifying risks and dangers.

Method used

A hazard prediction training system and method that utilizes a worker terminal, site information database, and accident case database to extract pre-check items tailored to the work content, creating a hazard prediction sheet for efficient risk prediction activities.

Benefits of technology

Enables young workers to perform hazard prediction and pre-work checks efficiently, matching the capabilities of experienced workers.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To allow even a youth worker to efficiently perform danger prediction activity and check before work with the same level as that of a veteran worker.SOLUTION: A danger prediction training system comprises: a worker terminal 20 used by a site worker; a site information DB 40 in which information about a work process registered beforehand is conserved; an accident case information DB 50 which manages safety information related to a site; and a work input unit 60 which exchanges information with the worker terminal 20. The work input unit 60 extracts the day's work from the work process registered beforehand about a work site identified by the site worker who operates the worker terminal 20, extracts a pre-checking item matching with the work content on the basis of each information on the site information DB 40 and the accident case information DB 50, and issues a danger prediction sheet on the basis of the extracted pre-checking item to transmit the sheet to the worker terminal 20. The worker terminal 20 presents the information on the danger prediction sheet transmitted from the work input unit 60 to the site worker.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a danger prediction training system and a danger prediction training method. [Background technology]

[0002] The technology described in Patent Document 1 below has been proposed as a risk prediction method for making workers aware of dangerous spots at construction sites. Patent Document 1 describes the following: "An image acquisition procedure involves photographing outdoor equipment together with the environment and capturing the image; a comparison procedure involves comparing the image of the outdoor equipment including the environment with accident data of accidents that have occurred at the outdoor equipment shown in the photo, and if a photo similar to the image is found, detecting an accident that occurred at the outdoor equipment shown in the photo from the accident data; an extraction procedure involves extracting risk information on dangerous spots and safety measures corresponding to the detected accident from a safety measure list that lists accidents, dangerous spots related to the accidents, and safety measures to prevent the accidents; an input procedure involves inputting input information that is the safety measures that workers think are necessary for the dangerous spots; and a confirmation procedure involves comparing the input information with the risk information to confirm that they match." [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-177380 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventionally, in risk prediction (KY) activities and pre-work checks (equipment inspections, etc.) at work sites, workers would identify the risks and dangers of industrial accidents at the site based on their own knowledge and progress, and then select pre-work checks. However, especially for young workers with little knowledge, it was difficult to determine the appropriate risk prediction activities and pre-work checks based on the work content of the day, and it took a lot of time to carry out the risk prediction activities and pre-work checks that should be carried out.

[0005] The present invention has been made in consideration of the above circumstances, and aims to provide a hazard prediction training system and a hazard prediction training method that enable young workers to efficiently carry out hazard prediction activities and pre-work checks in the same way as experienced workers. [Means for solving the problem]

[0006] In order to solve the above problems, for example, the configurations described in the claims are adopted. The present application includes multiple means for solving the above-mentioned problems. One example is a hazard prediction training system including a worker terminal used by a site worker performing product installation work, a site information database storing information related to pre-registered work processes for the work site where the product installation work is performed, an accident case information database managing safety information related to the site where the product installation work is performed, and a work input unit exchanging information with the worker terminal. The work input unit extracts the day's work from the work processes pre-registered in the site information database for the work site identified by the site worker operating the worker terminal, extracts pre-check items tailored to the work content based on the information in the site information database and the accident case information database, and creates a hazard prediction sheet based on the extracted pre-check items and sends it to the worker terminal. The worker terminal presents the information on the hazard prediction sheet sent from the work input unit to the site worker. [Effects of the Invention]

[0007] According to the present invention, even a young worker can efficiently carry out risk prediction activities and pre-work checks in the same way as an experienced worker. Problems, configurations, and effects other than those described above will become apparent from the following description of the mode for carrying out the invention (hereinafter referred to as "embodiments"). [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing an example of the overall configuration of a danger prediction training system according to one embodiment of the present invention. [Figure 2] 1 is a block diagram showing an example of the hardware configuration of a case example extraction server and a control system of a worker terminal in a risk prediction training system according to one embodiment of the present invention. FIG. [Figure 3] FIG. 2 is a sequence diagram showing a processing example of the risk prediction training according to the first embodiment of the present invention. [Figure 4] FIG. 10 is a diagram showing an example of a site selection screen W1 that displays a list of serial numbers for allowing a site worker to select a serial number. [Figure 5] FIG. 10 is a diagram showing an example of a display screen W2 of KY sheet information displayed on a display unit of an operator terminal. [Figure 6] FIG. 10 is a diagram showing an example of a KY sheet entry screen W3 displayed on the display unit of the worker terminal. [Figure 7] FIG. 10 is a sequence diagram showing a processing example of a risk prediction training according to Example 2 of the present invention. [Figure 8] FIG. 10 is a diagram showing an example of a display screen W4 of KY sheet information displayed on a display unit of an operator terminal. [Figure 9] 10 is a diagram showing an example of a display screen W5 displayed on the display unit of the worker terminal during the process of confirming completion of work content. FIG. [Figure 10] FIG. 10 is a diagram showing an example of a display screen W6 displayed on the display unit of the worker terminal when confirming exit from the building. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, examples of modes (embodiments) for carrying out the present invention will be described with reference to the accompanying drawings. In this specification and the accompanying drawings, identical or similar components are given the same reference numerals, and redundant explanations will be omitted, or only explanations will be given focusing on the differences. Furthermore, when there are multiple identical or similar components, they may be described using the same reference numerals with different subscripts. Note that when it is not necessary to distinguish between these multiple components, the subscripts may be omitted in the description. The number of each component may be singular or plural unless otherwise specified.

[0010] <One embodiment of the present invention> A hazard prediction training system according to one embodiment of the present invention will be described. In this embodiment, the work content will be described by taking the work content related to the installation of an elevator as an example. Generally, in elevator installation work, since the car rises and falls vertically, there are strict restrictions on the error between the building (site) and the drawings, and it takes time to consider whether the product will fit into the building at each site.

[0011] However, the present invention is not limited to work related to elevator installation work, but can be applied to work at various construction sites, such as construction work. Furthermore, in this specification, the term "product" is not limited to final deliverables such as elevators, but may also include main products of the final deliverables (e.g., elevator cars), products other than the main products that are provided in conjunction with the final deliverables, and parts that constitute or are related to each product.

[0012] <Overall configuration of the danger prediction training system> The overall configuration of a risk prediction training system according to one embodiment of the present invention will be described with reference to FIG.

[0013] Fig. 1 is a block diagram showing an example of the overall configuration of a risk prediction training system according to one embodiment of the present invention. As shown in Fig. 1, the risk prediction training system 1 according to one embodiment of the present invention is configured to include a case extraction server 10, n worker terminals 20_1 to 20_n, and a manager terminal 30. The case extraction server 10, the worker terminals 20_1 to 20_n, and the manager terminal 30 are connected to a communication network N and are capable of communicating with each other via the communication network N.

[0014] [Case Extraction Server] 1, the case extraction server 10 includes a site information database (site information DB) 40, an accident case information database (accident case information DB) 50, a work input unit 60, and a communication unit 70. In this way, the case extraction server 10 includes the site information database (site information DB) 40 and the accident case information database (accident case information DB) 50 as databases of the work management department.

[0015] (Site information DB) The site information DB 40 is a database that mainly manages design information (site information) related to work sites, and stores and manages site information for each site where a product is to be installed. Fig. 1 shows an example in which site information 41_1 to 41_n for n installation sites, site A, site B, site C, ..., site n, are stored in the site information DB 40.

[0016] In the following explanation, the target site is assumed to be site A. The work input unit 60 is assumed to access site information 41_1 of site A. Similarly, the worker terminal 20_1 is assumed to be used by a site worker at site A. Site information 41_2 of site B, site information 41_3 of site C, ..., site information 41_n of site n are similar to site information 41_1 of site A, and therefore explanations thereof will be omitted.

[0017] In this specification, when there is no need to distinguish between the site information 41_1 to 41_n of the sites A to n, they will be referred to as "site information 41." Also, when there is no need to distinguish between the worker terminals 20_1 to 20_n used by the field workers at the sites A to n, they will be referred to as "worker terminal 20."

[0018] As shown in FIG. 1, site information 41_1 for site A includes construction specification information 42, installation site personnel information 43, a schedule 44, customer information 45, a work execution form 46, and risk prediction information 47.

[0019] The construction specification information 42 is information relating to the specifications of the construction (installation work) of the product to be installed. In this embodiment, the construction specifications for site A are the specifications for the construction of an elevator. For example, in the case of elevator installation work, the construction specifications include information on optional equipment. For example, in the case of an elevator, examples of information on optional equipment include the presence or absence of an air conditioner, the capacity, the opening size, and the type of jamb.

[0020] The installation site personnel information 43 is information about personnel involved in the installation of the product to be installed. Examples of the installation site personnel information 43 include the names of people entering the building where the product to be installed is to be installed.

[0021] The process schedule 44 is information about the work process that is planned and registered in advance for the installation work of the product to be installed. Examples of the process schedule 44 include the transportation of heavy objects, the assembly of equipment, the delivery of the product to be installed, and the dismantling of existing equipment.

[0022] The customer information 45 is information about the customer who will install the product to be installed. The customer information 45 may be, for example, a list of the names of buildings or apartment buildings where the product to be installed will be installed.

[0023] The work execution form 46 is information relating to the work procedure when performing the installation work of the product to be installed.

[0024] Hazard prediction information 47 is so-called KY information that is related to the process of identifying potential dangers at the work site before work begins, devising measures to prevent accidents from occurring, and putting those measures into practice.

[0025] (Accident case information database) The accident case information DB 50 is a database that mainly manages safety information related to work sites. The accident case information DB 50 includes information on a collection of accident cases 51, in-house safety standards 52, and work precautions 53.

[0026] Accident case collection 51 is information about accidents that have occurred in the past at sites A to n. In-house safety standards 52 are information about safety standards decided within the company. Work precautions 53 are information about precautions to take when performing work decided for each of sites A to n.

[0027] (Work input section) The work input unit 60 is an input unit for inputting various information when executing the processing of the hazard prediction training system according to this embodiment. The work input unit 60 includes the following functional units: an accident case extraction unit 61, a safety standard extraction unit 62, a work precaution extraction unit 63, a hazard prediction implementation result registration unit 64, and a process extraction unit 65.

[0028] The accident case extraction unit 61 performs a process of extracting accident cases relating to the corresponding site from the accident case collection 51 of the accident case information DB 50 for each of the sites A to n.

[0029] The safety standard extraction unit 62 performs a process of extracting, for each of the sites A to n, the safety standard related to the corresponding site from the in-house safety standards 52 in the accident case information DB 50.

[0030] The important work precautions extraction unit 63 performs a process of extracting important work precautions relating to the corresponding site from the important work precautions 53 in the accident case information DB 50 for each of the tasks at the sites A to n.

[0031] The risk prediction implementation result registration unit 64 performs a process of registering the implementation result of risk prediction for each of the sites A to n in the risk prediction information 47 of the site information DB 40.

[0032] The process extraction unit 65 performs a process of extracting, for each task at the site A to site n, a work process related to the corresponding site from the process sheet 44 of the site information DB 40.

[0033] (Communications Department) When the communication unit 70 receives a request (e.g., a request to obtain information) from the worker terminal 20 (20_1 to 20_n) via the communication network N, it passes the request to the work input unit 60. Furthermore, when the communication unit 70 receives response information (e.g., screen information) from the work input unit 60, it returns the response information to the worker terminal 20 that sent the request via the communication network N. However, in the following description of the processing of each functional unit of the work input unit 60, the processing of the communication unit 70 may be omitted, and each functional unit may be described as transmitting and receiving various information and data to and from the worker terminal 20.

[0034] [Worker terminal] The worker terminals 20 (20_1 to 20_n) are an example of an information processing terminal operated by a worker at a site where an installation work for an elevator, etc. Examples of the worker terminals 20 include a mobile phone, a smartphone, a tablet-type mobile terminal, a laptop-type personal computer, or other mobile terminals.

[0035] The worker terminal 20 includes a display unit 21 that displays various types of information and an input unit 22 that receives information input by a field worker. The worker terminal 20 has the same functions as a general mobile terminal. For example, the worker terminal 20 has a call function and a function to display information acquired from the case extraction server 10 via the communication network N on the display unit 21.

[0036] On-site workers can easily operate the worker terminal 20 on-site. Through application software installed on the worker terminal 20, the on-site workers can perform various operations, such as inputting the serial number of a product (e.g., an elevator) and inputting on-site measurement values ​​for the day.

[0037] [Administrator terminal] The manager terminal 30 is an example of an information processing terminal operated by a construction manager at a site where installation work for elevators, etc. As with the worker terminal 20, examples of the manager terminal 30 include mobile terminals such as a mobile phone, a smartphone, a tablet-type mobile terminal, or a laptop-type personal computer.

[0038] Like the worker terminal 20, the manager terminal 30 has a display unit 31 that displays various information and an input unit 32 that accepts information entered by a field worker. Like the worker terminal 20, the manager terminal 30 has a call function and a function to display information acquired from the case extraction server 10 via the communication network N on the display unit 31.

[0039] <Hardware configuration of each device in the risk prediction training system> Here, the hardware configuration of the control system of each device constituting the danger prediction training system 1 will be described with reference to Fig. 2. Here, the hardware configuration of the control system of the case extraction server 10 will be described.

[0040] FIG. 2 is a block diagram showing an example of the hardware configuration of the control system of the case extraction server 10 in the risk prediction training system 1 according to one embodiment of the present invention.

[0041] The calculator 80 shown in Fig. 2 is an example of hardware used as a computer. The case extraction server 10 according to this embodiment realizes support for hazard prediction training work performed by the respective functional blocks shown in Fig. 1 in cooperation with each other by the calculator 80 used as a computer executing a program.

[0042] The computer 80 includes a CPU (Central Processing Unit) 81, a ROM (Read Only Memory) 82, and a RAM (Random Access Memory) 83, all of which are connected to a system bus 88. The computer 80 further includes a display device 84, an input device 85, a non-volatile storage 86, and a network interface 87, all of which are connected to the system bus 88.

[0043] The CPU 81 reads out from the ROM 82 the program code of the software that realizes each function of the case extraction server 10 according to this embodiment, loads it into the RAM 83, and executes it. Variables, parameters, etc. generated in the course of the calculation processing of the CPU 81 are temporarily written to the RAM 83, and these variables, parameters, etc. are read out as appropriate by the CPU 81. The functions of the case extraction server 10 are realized by the CPU 81 executing the program code read out from the ROM 82. However, other processors such as an MPU (Micro Processing Unit) may be used instead of the CPU 81.

[0044] The display device 84 displays a GUI (graphical user interface) screen and the results of arithmetic processing performed by the CPU 81. Examples of the display device 84 include monitors such as a liquid crystal display and an organic EL (electro-luminescence) display.

[0045] The input device 85 generates an input signal in response to a user's operation and outputs it to the CPU 81. The input device 85 may be, for example, a mouse, a keyboard, or a touch sensor, and the user can input information and instructions by operating the input device 85. The display device 84 and the input device 85 may be integrally configured as a touch panel.

[0046] The display unit 21 of the worker terminal 20 can be configured using the display device 84 described above. The input unit 22 of the worker terminal 20 can be configured using the input device 85 described above.

[0047] The nonvolatile storage 86 is an example of a recording medium, and is capable of storing data used by a program, data obtained by executing a program, etc. The site information DB 40 and accident case information DB 50 of the case extraction server 10 described above are configured using the nonvolatile storage 86. The nonvolatile storage 86 may also store an OS (Operating System) and programs executed by the CPU 81. Examples of the nonvolatile storage 86 include an HDD (Hard Disk Drive), an SSD (Solid State Drive), optical or magnetic disk media, and semiconductor memory cards.

[0048] A communication device such as a network interface card (NIC) is used as the network interface 87. The network interface 87 is configured to be able to transmit and receive various data to and from external devices via a system bus 88, such as a communication network such as a LAN or the Internet to which a terminal is connected, or a dedicated line.

[0049] Similarly to the case extraction server 10, the hardware of the control systems of the worker terminal 20 and the manager terminal 30 can also use the configuration of the computer 80 shown in FIG.

[0050] <Example of processing by the danger prediction training system> Next, a processing example (hazard prediction training method) by the case example extraction server 10 and the worker terminal 20 of the hazard prediction training system 1 will be described.

[0051] There are two processing examples of the risk prediction training system: one where there is no risk prediction report that has been submitted but not yet been returned (hereinafter referred to as "KY sheet"), and one where there is a KY sheet. Below, the former processing example (where there is no KY sheet) will be described as a processing example of risk prediction training according to Example 1 of the present invention, and the latter processing example (where there is a KY sheet) will be described as a processing example of risk prediction training according to Example 2.

[0052] [Example of processing for risk prediction training according to the first embodiment] 3 is a sequence diagram showing a processing example of the risk prediction training according to the first embodiment of the present invention. The processing of the risk prediction training according to the first embodiment is a processing of creating a KY sheet before starting work, and is a processing performed between the case extraction server 10 and the worker terminals 20 (20_1 to 20_n).

[0053] It is assumed that the application software (hazard prediction training tool) installed on the worker terminal 20 is running.

[0054] First, the worker terminal 20 performs a process of displaying on the display unit 21 a screen (serial number selection screen) that allows the field worker to select a serial number for identifying the work site on that day, based on information obtained from the site information DB 40 (step S1). The field worker selects a serial number from the input unit 22 based on the serial number selection screen displayed on the display unit 21. By selecting the serial number, it is possible to identify which of sites A to n is the work site on that day. In other words, the serial number referred to here is an example of site identification information that identifies the work site on that day.

[0055] FIG. 4 shows an example of the site selection screen W1 that displays a list of serial numbers to allow the field worker to select a serial number. In FIG. 4, Q123456, R654321, ... are the serial numbers. The field worker selects the serial number of the work site for that day. For example, if serial number Q123456 is selected, the work site for that day will be "AAA Building," and if serial number R654321 is selected, the work site for that day will be "BBB Apartment," ... The list of serial numbers is displayed on the display unit 21 of the worker terminal 20, and the field worker can select from this list the serial number that corresponds to the work site for that day, thereby quickly identifying the work site for that day.

[0056] The serial number selected by the on-site worker is transmitted from the worker terminal 20 to the case extraction server 10 via the communication network N (step S2). Upon receiving the serial number selected by the on-site worker, the process extraction unit 65 of the case extraction server 10 performs an extraction process of the work process for the day that has been registered in advance in the on-site information DB 40 from the process sheet 44 for the site identified based on the serial number (step S3).

[0057] Next, in the case extraction server 10, the work input unit 60 confirms, based on the registered contents of the hazard prediction implementation result registration unit 64, that there are no KY sheets that have been issued but not yet been returned (step S4), and then performs a process to extract pre-check items that match the work content (step S5). This extraction process is performed based on each data of the site information DB 40 and the accident case information DB 50.

[0058] Next, the work input unit 60 of the case extraction server 10 performs a process of creating a KY sheet based on the extracted advance check items (step S6). Then, the KY sheet information generated by this creation process is transmitted from the communication unit 70 of the case extraction server 10 to the worker terminal 20 via the communication network N (step S7).

[0059] When the worker terminal 20 receives the KY sheet information from the case extraction server 10, it performs processing to present the KY sheet information to the site worker by displaying it on the display unit 21 (step S8). An example of the display screen W2 of the KY sheet information displayed on the display unit 21 of the worker terminal 20 is shown in Fig. 5. The display screen W2 shown in Fig. 5 is, for example, a KY input screen when the work site is the AAA building with serial number Q123456.

[0060] When the on-site worker looks at the display screen W2 of this KY sheet information, he or she will check the pre-work check items on the display unit 21 of the worker terminal 20 and enter the check marks (step S9), and then check the accident cases and enter the check marks after checking (step S10).

[0061] Next, the on-site worker fills out the KY sheet on the worker terminal 20, referring to the accident case (step S11). An example of the KY sheet entry screen W3 displayed on the display unit 21 of the worker terminal 20 is shown in FIG. 6. The entry screen W3 shown in FIG. 6 is a KY input screen for, for example, the case where the work site is the AAA building with serial number Q123456. On this entry screen W3, for example, it is possible to confirm, as case 1, case No.: 1-1, carrying-in / carry-out work: temporary placement of carried-in items, weather on the day: rain, building type: apartment building, and incident that occurred: a worker walking near a stockyard in the apartment building parking lot with an umbrella in the rain tripped over a temporarily placed part and fell. Using the case as a reference, the on-site worker can enter KY information appropriate to the on-site conditions and weather on the KY input screen, for example.

[0062] The contents of the KY sheet filled out by the on-site worker are transmitted from the worker terminal 20 to the case extraction server 10 via the communication network N (step S12). When the work input unit 60 of the case extraction server 10 receives the contents of the KY sheet, it performs a process of registering the contents of the filled-in KY sheet as on-site information in the hazard prediction implementation result registration unit 64 (step S13).

[0063] Under the series of processes of the hazard prediction training according to the first embodiment described above, a field worker who arrives at a work site starts up the worker terminal 20, acquires information from the case extraction server 10, and displays pre-work check items related to the work site on the display unit 21 of the worker terminal 20. In this way, by displaying pre-work check items and case examples related to the work site on the worker terminal 20 under the operation of the field worker, even a young field worker can efficiently carry out hazard prediction activities and pre-work checks in the same way as a veteran worker.

[0064] [Example of processing for risk prediction training according to Example 2] 7 is a sequence diagram showing a processing example of hazard prediction training according to Example 2 of the present invention. The processing of hazard prediction training according to Example 2 is a processing of reviewing hazard prediction (KY) after work completion and reflecting it in the process, and is a processing performed between the case extraction server 10 and the worker terminals 20 (20_1 to 20_n).

[0065] First, the worker terminal 20 performs processing to display on the display unit 21 a screen (serial number selection screen) that allows the field worker to select a serial number for identifying the work site on that day, based on information obtained from the site information DB 40 (step S21). The field worker selects a serial number (Q123456, R654321, ...) from the input unit 22 based on the serial number selection screen (see FIG. 4) displayed on the display unit 21. By selecting the serial number, it is possible to identify which of sites A to n is the work site on that day.

[0066] The serial number selected by the on-site worker is transmitted from the worker terminal 20 to the case extraction server 10 via the communication network N (step S22). Upon receiving the serial number selected by the on-site worker, the process extraction unit 65 of the case extraction server 10 performs an extraction process of the work process for the day that has been registered in advance in the on-site information DB 40 from the process sheet 44 for the site identified based on the serial number (step S23).

[0067] Next, in the case extraction server 10, the work input unit 60 confirms, based on the registered contents of the hazard prediction implementation result registration unit 64, that there is a KY sheet that has been issued but not yet been reviewed (step S24), and then transmits the KY sheet information registered in the hazard prediction information 47 of the site information DB 40 from the communication unit 70 of the case extraction server 10 to the worker terminal 20 via the communication network N (step S25).

[0068] When the operator terminal 20 receives the KY sheet information from the case extraction server 10, it performs processing to present the KY sheet information to the field worker by displaying it on the display unit 21 (step S26). By displaying it on the display unit 21, the field worker can visually recognize the contents of the KY sheet information. An example of the KY sheet information display screen W4 displayed on the display unit 21 of the operator terminal 20 is shown in FIG. 8. By displaying the KY sheet information display screen W4, the field worker can review the KY information that was created before work.

[0069] The on-site worker, viewing the display screen W4 of this KY sheet information, performs a process of inputting a review of the KY implementation status, near misses, etc., in the input unit 22 of the worker terminal 20 (step S27), and then performs a process of confirming the completion of the work content (step S28). An example of the display screen W5 when this process of confirming the completion of the work content has been performed is shown in Fig. 9.

[0070] Next, the worker terminal 20 transmits information on whether the work content has been completed or not to the case extraction server 10 via the communication network N (step S29). After confirming the completion of the work content, the worker terminal 20 also performs a process to confirm whether the on-site workers have left the premises today (step S30). An example of the display screen W6 when confirming the departure is shown in Fig. 10.

[0071] The result of the exit confirmation process, that is, the exit / continuation information, is transmitted from the worker terminal 20 to the case extraction server 10 via the communication network N (step S31).

[0072] When the work input unit 60 of the case extraction server 10 receives information on whether the work has been completed or not and information on whether the work has been left or is continuing from the worker terminal 20, it performs a process of registering the progress of the work for that day (completed / continued) in the schedule 44 of the site information DB 40 as a process for the work for that day (step S32).

[0073] Next, the work input unit 60 of the case extraction server 10 performs a process to extract the differences between the registered work process for the day and the previous process (step S33), and then performs a process to modify the process to match the extracted differences from the previous process (step S34).

[0074] Through the series of processes in the hazard prediction training according to the second embodiment described above, the schedule 44 in the site information DB 40 can be updated and reflected in hazard prediction activities and pre-work checks before the next day's work.

[0075] <<Variations>> The present invention is not limited to the above-described embodiments, and various other applications and modifications are possible without departing from the spirit of the present invention as set forth in the claims. For example, the above-described embodiments have been described in detail and specifically to clearly explain the present invention, and are not necessarily limited to those including all of the components described. Furthermore, it is also possible to add, replace, or delete other components to or from part of the configuration of each embodiment.

[0076] Furthermore, the above-described configurations, functions, processing units, etc. may be partially or entirely realized in hardware, for example, by designing them as integrated circuits, etc. As the hardware, a broad processor device such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit) may be used.

[0077] In the above-described embodiment, the control lines and information lines are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are connected to each other.

[0078] In addition, in this specification, processing steps describing chronological processing include not only processing that is performed chronologically in the order described, but also processing that is not necessarily performed chronologically but is performed in parallel or individually (for example, processing by objects). [Explanation of symbols]

[0079] 1...Hazard prediction training system, 10...Case extraction server, 20 (20_1 to 20_n)...Worker terminal, 30...Administrator terminal, 40...Site information DB, 41 (41_1 to 41_n)...Site information, 42...Construction specification information, 43...Information on installation site personnel, 44...Process chart, 45...Customer information, 46...Work implementation form, 47...Hazard prediction (KY) activity information, 50...Accident case information DB, 51...Accident case collection, 52...In-house safety standards, 53...Work precautions, 60...Work input section, 61...Accident case extraction section, 62...Safety standard extraction section, 63...Work precautions extraction section, 64...Hazard prediction activity implementation result registration section, 65...Process extraction section, 70...Communication section, W1...Site selection screen, W2...KY sheet information display screen, W3...KY sheet entry screen, W4: KY sheet information display screen, W5: Display screen when confirming the completion of work content, W6: Display screen when confirming leaving the building

Claims

1. a worker terminal used by a field worker who installs the product; a site information database that stores information about work processes that have been registered in advance for work at the site where product installation work is performed; an accident case information database that manages safety information related to the site where the product installation work is performed; a work input unit that exchanges information with the worker terminal; Equipped with The work input unit extracts the work of the day from the work process registered in advance in the site information database for the work site identified by the site worker operating the worker terminal, extracts pre-check items according to the work content based on the information in the site information database and the accident case information database, creates a hazard prediction sheet based on the extracted pre-check items and transmits it to the worker terminal, The worker terminal presents the information on the hazard prediction sheet transmitted from the work input unit to the site worker. Hazard prediction training system.

2. The site worker specifies the work site for that day by selecting site-specific information from the list displayed on the display unit of the worker terminal. The risk prediction training system according to claim 1.

3. When the work input unit confirms that there is no risk prediction sheet that has been completed but not yet reviewed, it performs a process of extracting pre-check items that match the work content. The danger prediction training system according to claim 2.

4. The work input unit creates the risk prediction sheet based on the advance check items and transmits information on the created risk prediction sheet to the worker terminal. The danger prediction training system according to claim 3.

5. When the work input unit confirms that there is a risk prediction sheet that has been created but not yet returned, it transmits information about the confirmed risk prediction sheet to the worker terminal. The danger prediction training system according to claim 2.

6. The worker terminal displays the information on the hazard prediction sheet transmitted from the work input unit on a display unit to present it to the site worker.

6. The danger prediction training system according to claim 4 or 5.

7. a worker terminal used by a field worker who installs the product; a site information database that stores information about work processes that have been registered in advance for work at the site where product installation work is performed; an accident case information database that manages safety information related to the site where the product installation work is performed; a work input unit that exchanges information with the worker terminal; In a risk prediction training system equipped with a processing step of identifying a work site by the site worker operating the worker terminal; a processing step in which the work input unit extracts the work of the day from the work processes registered in advance in the site information database for the work site; a processing step in which the work input unit extracts pre-check items that are suited to the work content of the day based on the information in the site information database and the accident case information database; A processing step in which the work input unit creates a risk prediction sheet based on the advance check items and transmits the sheet to the worker terminal; a processing step of presenting the information on the risk prediction sheet transmitted from the work input unit to the site worker; A hazard prediction training method that performs each of the above processes.

Citation Information

Patent Citations

  • Danger prediction method and danger prediction device

    JP2020177380A

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