Danger prediction training system and danger prediction training method

Abstract

The invention relates to a danger prediction training system and a danger prediction training method. Even young workers can efficiently perform danger prediction activities and pre-work confirmation which are the same as those of skilled workers. A risk prediction training system includes a worker terminal (20), a site information database (40), an accident case information database (50), and a work input unit (60) that performs information interaction with the worker terminal (20). A work input unit (60) extracts the work of the day from the work process registered before the work on the work site specified by the worker terminal (20), extracts matched prior confirmation items on the basis of each piece of information from the site information database (40) and the accident case information database (50), generates a risk prediction list on the basis of the prior confirmation items, and transmits the risk prediction list to the worker terminal (20). The worker terminal (20) presents to the field worker information of the risk prediction list transmitted from the work input unit (60).

Description

Technical Field

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

[0002] As a hazard prediction method for enabling workers to identify dangerous places in construction sites, the technology described in the following patent document 1 has been proposed. Patent document 1 describes "an image acquisition process for photographing outdoor equipment together with the environment and importing the image; a query process for searching for images in accident data of accidents involving outdoor equipment including the environment and the outdoor equipment reflected in the photo; and, if a photo similar to the image exists, a query process for detecting an accident involving the outdoor equipment reflected in the photo based on the accident data; an extraction process for extracting hazard information of dangerous places and safety measures corresponding to the detected accident from a safety measures list that records accidents and dangerous places related to the accidents, as well as safety measures to prevent the accidents; an input process for inputting input information of safety measures considered by workers for dangerous places; and a confirmation process for comparing the input information with the hazard information and confirming their consistency."

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2020-177380 Summary of the Invention

[0006] Problems to be solved by the invention

[0007] However, conventionally, hazard prediction (KY) and pre-job checks (such as equipment verification) at work sites have relied on the workers' knowledge and progress to identify occupational hazards and risks at the site, extracting them from pre-job checks. However, for young workers, who have limited knowledge, this can be difficult to determine appropriate hazard prediction and pre-job checks based on the day's work, leading to time-consuming and unnecessary hazard prediction and pre-job checks.

[0008] The present invention was developed in view of such a situation, and its purpose is to provide a hazard prediction training system and a hazard prediction training method that enable even young workers to efficiently perform the same hazard prediction activities and pre-work confirmations as skilled workers.

[0009] Technical solutions to problems

[0010] In order to solve the above-mentioned problems, for example, the configuration described in the claims is adopted.

[0011] The present application includes multiple technical solutions to the aforementioned problems. For example, a hazard prediction training system includes: a worker terminal used by on-site workers performing product assembly operations; a site information database storing information regarding pre-registered work processes, wherein the work processes are work processes performed at the on-site product assembly operations; an incident case information database managing safety information regarding the on-site product assembly operations; and a work input unit capable of exchanging information with the worker terminal. The work input unit extracts the work of the day from the pre-registered work processes in the site information database for a work site identified by the on-site worker operating the worker terminal, extracts pre-confirmation items matching the work content based on information in the site information database and the incident case information database, generates a hazard prediction form based on the extracted pre-confirmation items, and transmits the form to the worker terminal. The worker terminal then displays the information on the hazard prediction form sent from the work input unit to the on-site worker.

[0012] Effects of the Invention

[0013] According to the present invention, even a young worker can efficiently perform the same risk prediction activities and pre-work checks as experienced workers, just like experienced workers.

[0014] Other problems, structures, and effects than those described above will become clear from the following description of the mode for carrying out the invention (hereinafter referred to as “embodiment”). BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This 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.

[0016] Figure 2 This is a block diagram showing a hardware configuration example of a control system of a case extraction server and a worker terminal in a danger prediction training system according to one embodiment of the present invention.

[0017] Figure 3 This is a sequence diagram showing a processing example of the danger prediction training according to the first embodiment of the present invention.

[0018] Figure 4 This is a diagram showing an example of a site selection screen W1 displaying a list of manufacturing numbers for allowing a site worker to select a manufacturing number.

[0019] Figure 5 1 is a diagram showing an example of a display screen W2 of KY slip information displayed on the display unit of the operator terminal.

[0020] Figure 61 is a diagram showing an example of a KY slip entry screen W3 displayed on the display unit of the operator terminal.

[0021] Figure 7 This is a sequence diagram showing a processing example of danger prediction training according to the second embodiment of the present invention.

[0022] Figure 8 1 is a diagram showing an example of a display screen W4 of KY slip information displayed on the display unit of the operator terminal.

[0023] Figure 9 1 is a diagram showing an example of a display screen W5 displayed on the display unit of the worker terminal during the completion confirmation process of the work content.

[0024] Figure 10 1 is a diagram showing an example of a display screen W6 displayed on the display unit of the operator terminal during departure confirmation. DETAILED DESCRIPTION

[0025] Hereinafter, with reference to the accompanying drawings, examples of modes (embodiments) for implementing the present invention will be described. In this specification and the accompanying drawings, the same reference numerals are sometimes added to the same or similar components, repeated descriptions are omitted, or only descriptions centered on the differences are given. In addition, when there are multiple identical or similar components, different suffixes are sometimes added to the same reference numerals for description. In addition, when there is no need to distinguish between the multiple components, the suffixes are sometimes omitted for description. The number of each component can be single or multiple unless otherwise stated.

[0026] One embodiment of the present invention

[0027] The following describes a hazard prediction training system according to one embodiment of the present invention. This embodiment uses the installation and construction of an elevator as an example. Generally speaking, during elevator installation and construction, because the car rises and falls vertically, there are strict limits on the deviation between the building (site) and the drawings. Therefore, it takes time to verify at each site whether the product can be accommodated in the building.

[0028] However, the present invention is not limited to operations related to the installation and construction of elevators and can be applied to operations in various on-site locations, such as construction and building. Furthermore, in this specification, the term "product" is not limited to final deliverables such as elevators but also includes the main products of the final deliverable (e.g., cars), as well as products other than the main products that are installed incidentally with the final deliverable, and components that constitute or are related to each of these products.

[0029] <Overall Structure of the Danger Prediction Training System>

[0030] For the overall structure of the danger prediction training system according to one embodiment of the present invention, refer to Figure 1 Provide explanation.

[0031] Figure 1 FIG. 1 is a block diagram showing an example of the overall structure of a danger prediction training system according to an embodiment of the present invention. Figure 1 As shown, a danger prediction training system 1 according to one embodiment of the present invention includes a case extraction server 10, n worker terminals 20_1 to 20_n, and an administrator terminal 30. The case extraction server 10, the worker terminals 20_1 to 20_n, and the administrator terminal 30 are connected to a communication network N and can communicate with each other via the communication network N.

[0032] [Case Extraction Server]

[0033] Figure 1 In the example, the case extraction server 10 includes a field information database (field information DB) 40, an incident case information database (incident case information DB) 50, a work input unit 60, and a communication unit 70. Thus, the case extraction server 10 includes the field information database (field information DB) 40 and the incident case information database (incident case information DB) 50 as databases of the work management department.

[0034] (Onsite Information DB)

[0035] The site information DB 40 is a database for managing design information (site information) mainly related to the work site, and stores and manages the site information for each site where the product is installed. Figure 1 , an example is shown in which field information 41_1 to 41_n of n installation sites, namely, site A, site B, site C, . . . , site n, are stored in the field information DB 40 .

[0036] In the following description, it is assumed that the target site is Site A. Furthermore, it is assumed that the work input unit 60 accesses the site information 41_1 of Site A. Similarly, it is assumed that the worker terminal 20_1 is used by a worker at Site A. The site information 41_2 of Site B, the site information 41_3 of Site C, ..., and the site information 41_n of Site n are similar to the site information 41_1 of Site A, and therefore their description is omitted.

[0037] In this specification, the field information 41_1 to 41_n of sites A to n are referred to as "field information 41" when there is no need to distinguish them. Also, the worker terminals 20_1 to 20_n used by field workers in sites A to n are referred to as "worker terminals 20" when there is no need to distinguish them.

[0038] like Figure 1 As shown, the site information 41_1 of site A includes construction specification information 42, installation site related personnel information 43, process table 44, customer information 45, work implementation form 46 and hazard prediction information 47.

[0039] Construction specification information 42 is information regarding the specifications for the construction (assembly work) of the product being installed. In this embodiment, the construction specifications for Site A are for an elevator. For example, in the case of elevator installation, the construction specifications include information on optional equipment. For example, in the case of an elevator, information on optional equipment such as the presence of an air conditioner, seating capacity, opening (opening) dimensions, and door frame type can be included.

[0040] The installation site personnel information 43 is information about personnel involved in the assembly work of the installation target product. The installation site personnel information 43 may include, for example, the designation of a person entering the building where the installation target product is installed.

[0041] The process table 44 is information related to the work steps for assembling the product to be installed, which are planned and registered in advance. Examples of the process table 44 include heavy object handling, device assembly, product loading, and disassembly of existing equipment.

[0042] The customer information 45 is information about the customer who installed the product to be installed. For example, the customer information 45 may include a list of building names and residential building names where the product to be installed is installed.

[0043] The work execution form 46 contains information on the work flow and the like when executing the assembly work of the product to be installed.

[0044] The danger prediction information 47 is so-called KY information concerning the process of screening potential dangers at a work site before starting work and considering and implementing countermeasures to prevent accidental accidents.

[0045] (Case Study Information DB)

[0046] The incident case information DB 50 is a database that mainly manages information on safety at the work site. The incident case information DB 50 includes information on incident case collections 51, in-company safety standards 52, and work precautions 53.

[0047] The incident case collection 51 is information about past accidents at sites A to n. The company's internal safety standards 52 are information about safety standards set within the company. The work precautions 53 are information about precautions during work set for each of sites A to n.

[0048] (Job Input Section)

[0049] The work input unit 60 is used to input various information during the execution of the hazard prediction training system of this embodiment. The work input unit 60 includes a case example 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.

[0050] The incident example extraction unit 61 performs a process of extracting incident examples related to the corresponding sites A to n from the incident example collection 51 of the incident example information DB 50 .

[0051] The safety standard extraction unit 62 performs a process of extracting the safety standard for each site A to site n from the in-company safety standard 52 of the work case information DB 50 .

[0052] The work precaution extraction unit 63 extracts work precautions related to the corresponding sites from the work precautions 53 in the work story example information DB 50 for each of the works at sites A to n.

[0053] The danger prediction implementation result registration unit 64 performs a process of registering the implementation result of danger prediction for each of the sites A to n in the danger prediction information 47 of the site information DB 40 .

[0054] The process extraction unit 65 performs processing for extracting the work process at each of the sites A to n from the process table 44 of the site information DB 40 .

[0055] (Ministry of Communications)

[0056] 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 transmits 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, which is the source of 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 is omitted, and the description will focus on the transmission and reception of various information and data between each functional unit and the worker terminal 20.

[0057] [Worker terminal]

[0058] The worker terminals 20 (20_1 to 20_n) are examples of information processing terminals operated by workers at a site performing installation work of a lift, etc. Examples of the worker terminals 20 include mobile phones, smartphones, tablet-type portable terminals, and laptop computers.

[0059] The operator terminal 20 includes a display unit 21 for displaying various information and an input unit 22 for receiving information input by the on-site operator. Furthermore, the operator terminal 20 has the same functions as a typical portable terminal. For example, the operator terminal 20 includes a call function and a function for displaying information acquired from the case extraction server 10 via the communication network N on the display unit 21.

[0060] On-site workers can easily operate the worker terminal 20. Then, through the application software installed in the worker terminal 20, the on-site worker can perform various operations such as inputting the manufacturing number of a product (for example, an elevator) or inputting on-site measurement values ​​of the day.

[0061] [Administrator Terminal]

[0062] The administrator terminal 30 is an example of an information processing terminal operated by a construction manager at a site where installation work of a lift, etc. As with the operator terminal 20, examples of the administrator terminal 30 include a mobile phone, a smartphone, a tablet-type portable terminal, or a laptop personal computer.

[0063] Like the worker terminal 20, the administrator terminal 30 includes a display unit 31 for displaying various information and an input unit 32 for receiving information input by field workers. Furthermore, like the worker terminal 20, the administrator terminal 30 includes a call function and a function for displaying information acquired from the case extraction server 10 via the communication network N on the display unit 31.

[0064] <Hardware Structure of Each Device in the Danger Prediction Training System>

[0065] Here, for the hardware structure of the control system of each device constituting the danger prediction training system 1, refer to Figure 2 Here, the hardware configuration of the control system of the case extraction server 10 will be described.

[0066] Figure 2 This is a block diagram showing a hardware configuration example of a control system of the case extraction server 10 in the danger prediction training system 1 according to one embodiment of the present invention.

[0067] Figure 2The computer 80 shown is an example of hardware used as a computer. The case extraction server 10 of this embodiment is implemented by executing a program on the computer 80 used as a computer. Figure 1 The functional modules shown cooperate to assist in the risk prediction training work.

[0068] The computer 80 includes a CPU (Central Processing Unit) 81 , a ROM (Read Only Memory) 82 , and a RAM (Random Access Memory) 83 connected to a system bus 88 . The computer 80 also includes a display device 84 , an input device 85 , a nonvolatile memory 86 , and a network interface 87 connected to the system bus 88 .

[0069] The CPU 81 reads the program code for the software that implements the various functions of the case extraction server 10 according to this embodiment from the ROM 82, loads it into the RAM 83, and executes it. Variables and parameters generated during the CPU 81's computational processing are temporarily written to the RAM 83, and the CPU 81 reads these variables and parameters as appropriate. The functions of the case extraction server 10 are implemented by the CPU 81 executing the program code read from the ROM 82. However, another processor such as an MPU (Micro Processing Unit) may be used in place of the CPU 81.

[0070] The display device 84 displays a GUI (graphical user interface) screen and the results of calculations performed by the CPU 81. Examples of the display device 84 include monitors such as a liquid crystal display and an organic EL (electroluminescence) display.

[0071] The input device 85 generates input signals corresponding to user operations and outputs them to the CPU 81. For example, a mouse, keyboard, or touch sensor can be used as the input device 85, and the user can operate the input device 85 to input information and instructions. The display device 84 and the input device 85 may also be integrally formed as a touch panel.

[0072] The display unit 21 of the operator terminal 20 can be configured using the display device 84 described above. The input unit 22 of the operator terminal 20 can be configured using the input device 85 described above.

[0073] Non-volatile storage 86 is an example of a recording medium and can store data used by programs and data obtained by executing programs. The case extraction server 10's field information DB 40 and case information DB 50 are configured using non-volatile storage 86. Furthermore, programs executed by the operating system (OS) and CPU 81 may also be recorded in non-volatile storage 86. Examples of non-volatile storage 86 include a hard disk drive (HDD), a solid state drive (SSD), optical or magnetic disk media, or a semiconductor memory card.

[0074] A communication device such as a NIC (Network Interface Card) 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 communication network such as a LAN or the Internet or a system bus 88 such as a dedicated line connected to the terminal.

[0075] In addition, the hardware of each control system of the operator terminal 20 and the administrator terminal 30 can also be controlled by using the same method as the case extraction server 10. Figure 2 The structure of the computer 80 is shown.

[0076] <Processing example of danger prediction training system>

[0077] Next, a description will be given of a processing example (a danger prediction training method) of the case extraction server 10 and the worker terminal 20 of the danger prediction training system 1 .

[0078] The hazard prediction training system handles two examples: one in which a generated and unreviewed hazard prediction report (hereinafter referred to as a "KY sheet") does not exist, and the other in which a KY sheet exists. The following describes the former (the absence of a KY sheet) as an example of hazard prediction training in Example 1 of the present invention, and the latter (the presence of a KY sheet) as an example of hazard prediction training in Example 2.

[0079] [Processing Example of Danger Predictive Training in Example 1]

[0080] Figure 3 This is a sequence diagram showing an example of the risk prediction training process according to Example 1 of the present invention. The risk prediction training process according to Example 1 is a process for generating a KY sheet before starting work, and is performed between the case extraction server 10 and the worker terminals 20 (20_1 to 20_n).

[0081] As a premise, it is assumed that the application software (hazard prediction training tool) installed in the operator terminal 20 has been started.

[0082] First, the worker terminal 20 displays a screen (manufacturing number selection screen) on the display unit 21 based on information obtained from the field information DB 40, allowing the field worker to select a manufacturing number for specifying the day's work site (step S1). The field worker selects a manufacturing number using the input unit 22 based on the manufacturing number selection screen displayed on the display unit 21. By selecting the manufacturing number, the field worker can specify which of the four sites, Site A to Site n, the day's work site is. Specifically, the manufacturing number here is an example of site-specific information for specifying the day's work site.

[0083] exist Figure 4 2 shows an example of a site selection screen W1 displaying a list of manufacturing numbers for allowing a site worker to select a manufacturing number. Figure 4 In the example, Q123456, R654321, ... are manufacturing numbers. The on-site operator selects the manufacturing number for the current day's work site. For example, if manufacturing number Q123456 is selected, the current day's work site is "AAA Building," and if manufacturing number R654321 is selected, the current day's work site is "BBB Residential Building," etc. A list of manufacturing numbers is displayed on the display unit 21 of the operator terminal 20, and the on-site operator selects the manufacturing number corresponding to the current day's work site from this list, allowing the operator to quickly specify the current day's work site.

[0084] The manufacturing 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 manufacturing number selected by the on-site worker, the process extraction unit 65 of the case extraction server 10 extracts the work processes for the day, which have been pre-registered in the process table 44 of the site specified based on the manufacturing number, in the site information DB 40 (step S3).

[0085] Next, in the case extraction server 10, the work input unit 60 confirms that no KY orders have been generated and not reviewed based on the registration information of the risk prediction implementation result registration unit 64 (step S4), and then performs a process of extracting pre-confirmation items that match the work content (step S5). This extraction process is performed based on the data in the field information DB 40 and the incident case information DB 50.

[0086] Next, the work input unit 60 of the case extraction server 10 generates a KY form based on the extracted pre-confirmation items (step S6). The KY form information generated by this generation process is then transmitted from the communication unit 70 of the case extraction server 10 to the worker terminal 20 via the communication network N (step S7).

[0087] When the operator terminal 20 receives the KY slip information from the case extraction server 10, it displays the KY slip information on the display unit 21 to present the KY slip information to the on-site operator (step S8). Figure 5 1 shows an example of a display screen W2 of KY slip information displayed on the display unit 21 of the operator terminal 20 . Figure 5 The display screen W2 shown is, for example, a KY input screen when the work site is the AAA building with the manufacturing number Q123456.

[0088] The on-site operator who has viewed the display screen W2 of the KY slip information confirms the pre-work confirmation items and enters a check mark on the display unit 21 of the operator terminal 20 (step S9), and then confirms the incident case and enters a check mark after confirmation (step S10).

[0089] Next, in the operator terminal 20, the on-site operator fills in the KY form with reference to the incident example (step S11). Figure 6 1 shows an example of a KY slip filling screen W3 displayed on the display unit 21 of the operator terminal 20 . Figure 6 The entry screen W3 shown is, for example, a KY input screen for a work site at the AAA building with manufacturing number Q123456. This entry screen W3 displays, for example, Case 1, Case No. 1-1, Loading / Unloading Work: Temporary Storage of Loaded / Unloaded Items, Today's Weather: Rain, Building Type: Residential Building, and Occurrence: A worker walking near a stockpile in a residential building parking lot tripped over temporarily stored components while holding an umbrella on a rainy day. On-site workers can refer to this example and, for example, use the KY input screen to enter the KY according to the site conditions and weather.

[0090] The contents of the KY form 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). Upon receiving the contents of the KY form, the work input unit 60 of the case extraction server 10 registers the contents of the filled-in KY form as on-site information in the danger prediction implementation result registration unit 64 (step S13).

[0091] Following the series of processes performed in the hazard prediction training of Example 1, a field worker arriving at the work site activates the worker terminal 20, obtains information from the case extraction server 10, and displays pre-job confirmation items related to the work site on the display unit 21 of the worker terminal 20. Thus, by displaying pre-job confirmation items and cases related to the work site on the worker terminal 20, even young field workers can efficiently perform the same hazard prediction activities and pre-job confirmations as experienced workers.

[0092] [Processing Example of Danger Predictive Training in Example 2]

[0093] Figure 7 This is a sequence diagram showing an example of the hazard prediction training process according to Example 2 of the present invention. The hazard prediction training process according to Example 2 is a process for reviewing hazard prediction (KY) after the completion of a job and reflecting it on the process. This process is performed between the case extraction server 10 and the worker terminals 20 (20_1 to 20_n).

[0094] First, the worker terminal 20 performs processing to display a screen (manufacturing number selection screen) on the display unit 21 for the worker to select the manufacturing number for the work site of the day based on the information obtained from the work site information DB 40 (step S21). The worker selects the manufacturing number based on the manufacturing number selection screen displayed on the display unit 21 (refer to Figure 4 ), select a manufacturing number (Q123456, R654321, ...) using the input unit 22. By selecting the manufacturing number, it is possible to specify which of the sites A to n that is the work site for the day.

[0095] The manufacturing 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 manufacturing number selected by the on-site worker, the process extraction unit 65 of the case extraction server 10 extracts the work processes for the day, which have been previously registered in the process table 44 of the site specified based on the manufacturing number, in the site information DB 40 (step S23).

[0096] Next, in the case extraction server 10, the operation input unit 60 confirms the existence of a KY order that has been generated and not reviewed based on the registration content of the danger prediction implementation result registration unit 64 (step S24), and sends the KY order information registered in the danger prediction information 47 of the field information DB40 from the communication unit 70 of the case extraction server 10 via the communication network N to the operator terminal 20 (step S25).

[0097] When the operator terminal 20 receives the KY slip information from the case extraction server 10, it displays the KY slip information on the display unit 21 to prompt the on-site operator (step S26). By displaying it on the display unit 21, the on-site operator can visually recognize the content of the KY slip information. Figure 8 2 shows an example of a display screen W4 of KY slip information displayed on the display unit 21 of the operator terminal 20. By displaying the display screen W4 of KY slip information, the KY information generated before the work can be reviewed.

[0098] The on-site worker who has viewed the display screen W4 of the KY order information inputs the review of the KY implementation status, the near miss status, etc. in the input unit 22 of the worker terminal 20 (step S27), and then performs the completion confirmation process of the work content (step S28). Figure 9 ] An example of a display screen W5 when the completion confirmation process of the work content is performed is shown in FIG.

[0099] Next, the operator terminal 20 sends the completion / incomplete information of the work content to the case extraction server 10 via the communication network N (step S29). In addition, after the completion confirmation process of the work content, the operator terminal 20 performs the departure confirmation process of the on-site operator of the day (step S30). Figure 10 An example of the display screen W6 during the departure confirmation is shown in FIG.

[0100] The result of the departure confirmation process, that is, departure / continuation information, is transmitted from the worker terminal 20 to the case extraction server 10 via the communication network N (step S31 ).

[0101] When the job input unit 60 of the case extraction server 10 receives the completion / incomplete information and leave / continue information of the job content from the worker terminal 20, it registers the progress status (complete / continue) of the job of the day as the process of the job of the day in the process table 44 of the field information DB40 (step S32).

[0102] Next, the work input unit 60 of the case extraction server 10 extracts the difference between the process of the registered work on the day and the previous process (step S33), and then corrects the process according to the difference with the extracted previous process (step S34).

[0103] Through a series of processes performed in the risk prediction training of the second embodiment, the process table 44 of the on-site information DB 40 can be updated and reflected in risk prediction activities and pre-work confirmation before the next day's work.

[0104] Modification

[0105] In addition, the present invention is not limited to the above-described embodiments, and various other application examples and modifications may be adopted as long as they do not depart from the main purpose of the present invention as described in the scope of the claimed rights. For example, the above-described embodiments describe their structures in detail and specifically to facilitate understanding of the present invention, and are not limited to necessarily having all the described components. In addition, for a portion of the structure of each embodiment, other components may be added, replaced, or deleted.

[0106] Furthermore, the above-mentioned structures, functions, processing units, etc. may be partially or entirely implemented in hardware by designing them in an integrated circuit, etc. As hardware, a broad processor device such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit) may be used.

[0107] In the above embodiment, the control lines and information lines are shown as necessary for explanation, and not all control lines and information lines in the product are shown. In practice, it can be assumed that almost all components are connected to each other.

[0108] In this specification, processing steps describing sequential processing include processing performed sequentially in the order described, as well as processing that is not necessarily performed sequentially but is executed in parallel or individually (for example, object-based processing).

[0109] Description of Reference Numerals

[0110] 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 personnel involved in setting up the site, 44…Process table, 45…Customer information, 46…Work implementation form, 47…Hazard prediction (KY) information, 50…Incident case information DB, 51…Incident case collection, 52…In-company safety All standards, 53…work precautions, 60…work input section, 61…incident case extraction section, 62…safety standards extraction section, 63…work precautions extraction section, 64…hazard prediction implementation result registration section, 65…process extraction section, 70…communication section, W1…site selection screen, W2…KY sheet information display screen, W3…KY sheet filling screen, W4…KY sheet information display screen, W5…display screen for completion confirmation processing of work content, W6…display screen for exit confirmation.

Claims

1. A danger prediction training system, characterized in that: include: Worker terminals used by on-site workers who perform product assembly operations; A field information database storing information on pre-registered work processes, wherein the work processes are work processes of work performed on-site during product assembly work; An incident case information database that manages information on safety at sites where product assembly work is performed; and An operation input unit capable of exchanging information with the operator terminal, The operation input unit extracts the operation of the day from the operation procedures pre-registered in the on-site information database for the operation site determined by the on-site operator operating the operator terminal, extracts pre-confirmation items matching the operation content based on the information in the on-site information database and the incident case information database, generates a hazard warning form based on the extracted pre-confirmation items and sends it to the operator terminal, The worker terminal presents the on-site worker with information on the danger warning form transmitted from the work input unit.

2. The danger prediction training system according to claim 1, characterized in that: The on-site worker specifies the work site for the day by selecting site-specifying information from the list displayed on the display unit of the worker terminal.

3. The danger prediction training system according to claim 2, characterized in that: When confirming that there is no danger prediction form that has been generated but not reviewed, the work input unit performs a process of extracting pre-confirmation items of matching work content.

4. The danger prediction training system according to claim 3, characterized in that: The operation input unit generates the danger warning form based on the pre-confirmation items, and transmits information of the generated danger warning form to the operator terminal.

5. The danger prediction training system according to claim 2, wherein: When confirming that there is a danger prediction form that has been generated but not reviewed, the operation input unit transmits information of the confirmed danger prediction form to the operator terminal.

6. The danger prediction training system according to claim 4 or 5, characterized in that: The worker terminal displays the information of the danger warning form transmitted from the work input unit on a display unit to present the information to the on-site worker.

7. A danger prediction training method performed by a danger prediction training system, characterized in that: The danger prediction training system includes: Worker terminals used by on-site workers who perform product assembly operations; A field information database storing information on pre-registered work processes, wherein the work processes are work processes of work performed on-site during product assembly work; an incident case information database that manages information on safety aspects of a site where assembly work of a product is performed; and An operation input unit capable of exchanging information with the operator terminal, The risk prediction training method performs the following processing steps: The on-site operator determines the processing steps of the work site by operating in the operator terminal; The work input unit extracts the processing steps of the work on that day from the work processes that have been registered in advance in the site information database for the work site; The work input unit extracts pre-confirmation items matching the work content of the day's work based on the information in the on-site information database and the incident case information database; The operation input unit generates a danger warning form based on the pre-confirmed items and transmits the form to the operator terminal; and A processing procedure for presenting information of the danger warning form transmitted from the work input unit to the on-site worker.

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