Contact information provision device, contact information provision method, and contact information provision program

Abstract

To enable provision of contact information suitable for scheduled tasks.SOLUTION: A reception unit receives task information on scheduled tasks. An estimation unit estimates contact information for the scheduled tasks from the task information on the scheduled tasks using a machine learning model generated using task information and contact information. An output unit outputs the contact information for the scheduled tasks as candidate information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to contact information providing technology. [Background technology]

[0002] At construction sites, the foremen of each subcontracting company that has received orders for specialized work from the construction contractor enter information about the work scheduled for the next day into the system every day. Employees of the construction contractor refer to the entered information and enter important points for the next day's work, and by disseminating this information to each subcontracting company, they are raising awareness of the risk of industrial accidents.

[0003] BACKGROUND ART A safety information providing system that provides safety information related to construction safety in relation to work at a construction site is known (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2019-121210 Summary of the Invention [Problem to be solved by the invention]

[0005] The safety information provision system of Patent Document 1 uses machine learning based only on past disaster information at construction sites to identify related words that are related to keywords, and searches for safety information from a database using the related words.

[0006] However, machine learning based solely on past disaster information makes it difficult to provide appropriate precautions for planned work.

[0007] This problem is not limited to the case where precautions for work at a construction site are provided, but also occurs when providing contact information regarding various types of work.

[0008] In one aspect, the present invention aims to provide contact information appropriate for a scheduled task. [Means for solving the problem]

[0009] In one proposal, the contact information providing device includes a receiving unit, an estimating unit, and an output unit. The receiving unit receives work information for a work schedule. The estimating unit estimates contact information for the work schedule from the work information for the work schedule using a machine learning model generated using the work information and the contact information. The output unit outputs the contact information for the work schedule as candidate information. [Effects of the Invention]

[0010] According to one aspect, contact information appropriate to the scheduled task can be provided. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 2 is a functional configuration diagram of the contact information providing device according to the embodiment. [Figure 2] 10 is a flowchart of a first contact information providing process. [Figure 3] FIG. 1 is a diagram illustrating the configuration of a contact information providing system. [Figure 4] FIG. 2 is a functional configuration diagram of a server. [Figure 5] FIG. 10 is a diagram showing candidate information. [Figure 6] 10 is a flowchart of a second contact information providing process. [Figure 7] FIG. 10 is a diagram illustrating a coefficient C1. [Figure 8] FIG. 10 is a diagram illustrating a coefficient C2. [Figure 9] FIG. 10 is a diagram illustrating a coefficient C3. [Figure 10] FIG. 10 is a diagram illustrating a coefficient C4. [Figure 11] FIG. 2 is a hardware configuration diagram of an information processing device. DETAILED DESCRIPTION OF THE INVENTION

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

[0013] 1 shows an example of the functional configuration of a contact information providing device according to an embodiment. The contact information providing device 101 in FIG. 1 includes a receiving unit 111, an estimating unit 112, and an output unit 113.

[0014] Fig. 2 is a flowchart showing an example of a first contact information providing process performed by the contact information providing device 101 of Fig. 1. First, the receiving unit 111 receives work information for a work schedule (step 201). Next, the estimation unit 112 estimates contact information for the work schedule from the work information for the work schedule using a machine learning model generated using the work information and the contact information (step 202). Then, the output unit 113 outputs the contact information for the work schedule as candidate information (step 203).

[0015] The contact information providing device 101 in FIG. 1 can provide contact information suitable for a scheduled task.

[0016] Fig. 3 shows an example of the configuration of a contact information providing system that includes contact information providing device 101 of Fig. 1. The contact information providing system of Fig. 3 includes terminal device 301, terminal device 302, and server 303. Server 303 corresponds to contact information providing device 101 of Fig. 1.

[0017] The terminal device 301, the terminal device 302, and the server 303 can communicate with each other via a communication network 304. The communication network 304 is, for example, a local area network (LAN) or a wide area network (WAN).

[0018] The terminal device 301 is, for example, an information processing device (computer) of a cooperating company that has received an order for specialized work from a construction company. The terminal device 301 may also be an information processing device such as a tablet or smartphone. A foreman of the cooperating company inputs work information for the planned work into the terminal device 301, and the terminal device 301 transmits the input work information to the server 303. The work information includes, for example, the work content, work method, worker's job type, work location, work date, and work area. The work area indicates the area to which the work shop in charge of the work location belongs.

[0019] The work includes excavation, reassembling formwork, installing steel frame members, installing waterproof sheets, chipping off mortar from the waterproof sheets, etc. The work method includes the tools used, the heavy machinery used, the number of workers, etc. The worker's occupation includes scaffolding, lining work, rebar work, etc. The work location includes the name of the construction site, the name of the work area, etc. The work date includes the year, month, and day, etc. The work area includes Kanto, Kinki, etc.

[0020] The terminal device 302 and the server 303 are, for example, information processing devices of a construction company. The server 303 receives work information from the terminal device 301 and generates candidate information indicating candidates for liaison and coordination items corresponding to the received work information. The server 303 then transmits the candidate information to the terminal device 302. The liaison and coordination items include, for example, points to note regarding the scheduled work. The liaison and coordination items are an example of liaison information for scheduled work. The liaison and coordination items may include photographs, illustrations, drawings, etc.

[0021] The terminal device 302 receives the candidate information from the server 303 and displays the candidates for liaison and coordination items indicated by the received candidate information on the screen. The user performs a selection operation to select one or more candidates from the displayed candidates for liaison and coordination items. The user may be, for example, an employee of a construction company. The terminal device 302 transmits a selection result indicating the selected liaison and coordination items to the server 303.

[0022] The server 303 receives the selection result from the terminal device 302, generates safety confirmation information including the liaison and coordination items and work information indicated by the received selection result, and transmits the safety confirmation information to the terminal device 302.

[0023] The terminal device 302 receives the safety confirmation information from the server 303 and displays the received safety confirmation information on the screen. The terminal device 302 may print the received safety confirmation information as a form. The user can raise awareness of industrial accidents by informing cooperating companies of the liaison and coordination matters included in the safety confirmation information.

[0024] Fig. 4 shows an example of the functional configuration of the server 303 in Fig. 3. The server 303 in Fig. 4 includes a communication unit 411, a training unit 412, a reception unit 413, an estimation unit 414, a search unit 415, an extraction unit 416, an evaluation unit 417, a generation unit 418, and a storage unit 419. The reception unit 413, the estimation unit 414, and the communication unit 411 correspond to the reception unit 111, the estimation unit 112, and the output unit 113 in Fig. 1, respectively.

[0025] The storage unit 419 stores a first liaison and coordination item DB (database) 421, a second liaison and coordination item DB 422, a third liaison and coordination item DB 423, and a fourth liaison and coordination item DB 424.

[0026] The first communication coordination item DB 421 includes multiple entries, and each entry includes work information of work that has been performed in the past and communication coordination items associated with the work information. The number of entries in the first communication coordination item DB 421 may be tens of thousands to hundreds of thousands.

[0027] The work information in the first liaison and coordination item DB 421 includes, for example, the work content, work method, worker's occupation, work location, work date, and work area of ​​work performed in the past. The liaison and coordination items in the first liaison and coordination item DB 421 are liaison and coordination items selected by the user when work was performed in the past and recorded in the safety confirmation information.

[0028] The second liaison and coordination item DB 422 includes a plurality of entries, and each entry includes work information of work performed in the past, and an evaluation value of an industrial accident and liaison and coordination items associated with the work information.

[0029] In order to prevent industrial accidents at construction sites, patrols are sometimes conducted. Patrols are performed by inspectors who travel around the construction site to check the equipment, work procedures, etc., and point out any issues that need to be corrected. The inspectors are, for example, executives or managerial employees of the construction company.

[0030] By conducting such patrols, patrolmen can predict potential future workplace accidents. For example, if they discover equipment defects such as a loose scaffolding floor or a missing lifeline, they can predict the occurrence of an accident involving a fall from the scaffolding.

[0031] The work information in the second liaison and coordination item DB422 includes, for example, the work content, work method, worker's occupation, work location, work date, and work area of ​​work that has previously resulted in a work-related accident or work that is predicted to have the potential to result in a work-related accident based on the results of patrols. The greater the severity of the work-related accident, the higher the work-related accident evaluation value. The second liaison and coordination item DB422 is an example of work-related accident evaluation supplement information.

[0032] The liaison and coordination items in the second liaison and coordination item DB 422 may be cautions such as "Work-related accident X has occurred in the past. Please be careful." or "The possibility of work-related accident X has been pointed out during a recent patrol. Please be careful."

[0033] The third communication and coordination item DB 423 includes a plurality of entries, and each entry includes work information of a scheduled work and a communication and coordination item based on a work rule that is associated with each piece of work information.

[0034] The work information in the third liaison and coordination item DB 423 includes, for example, the planned work content, work method, worker's job type, work location, work date, and work area. Work rules are created based on safety and health standards, notices, and safety-related items from internal and external audits. The third liaison and coordination item DB 423 is an example of work rule supplemental information.

[0035] The fourth communication and coordination item DB 424 includes a plurality of entries, and each entry includes work information of a scheduled work and communication and coordination items based on the work environment that are associated with the work information.

[0036] The work information in the fourth liaison and coordination item DB 424 includes, for example, the planned work content, work method, worker's job type, work location, work date, and work area. The work environment represents the range of work sections where each subcontractor company will work at the construction site, the proximity of multiple work sections, the type and number of heavy equipment used in each work section, the paths along which the heavy equipment will travel, whether or not the work scaffolding will be changed, and the material delivery plan for each work section. Information indicating the work environment can be obtained, for example, from a map showing the work sections of the construction site. The fourth liaison and coordination item DB 424 is an example of work environment supplementary information.

[0037] The adjacency relationship between construction sites may be information indicating that on a particular day, subcontractor company A1 performs work in construction site B1, subcontractor company A2 performs work in construction site B2, and that construction sites B1 and B2 are adjacent to each other. In this case, the liaison and coordination item in the fourth liaison and coordination item DB 424 may be a warning such as "There is work in the adjacent construction site. Please be careful." Alternatively, the liaison and coordination item in the fourth liaison and coordination item DB 424 may be a warning such as "Be careful of heavy machinery."

[0038] The communication unit 411 communicates with the terminal device 301 and the terminal device 302 via the communication network 304 .

[0039] The training unit 412 generates an estimation model 425 by performing machine learning to train a pre-trained machine learning model using the first communication and coordination item DB 421, and stores the estimation model 425 in the storage unit 419. The estimation model 425 is a trained machine learning model that estimates communication and coordination items for a task based on task information about the task. As the estimation model 425, a neural network, a support vector machine, a decision tree, a random forest, or the like is used.

[0040] In training the machine learning model, the task information contained in each of the multiple entries in the first communication coordination item DB 421 is used as training data, and the communication coordination items contained in each of these entries are used as teacher data representing the correct answer.

[0041] The reception unit 413 receives work information of a scheduled work from the terminal device 301 via the communication unit 411, accepts the received work information, and outputs it to the estimation unit 414 and the search unit 415.

[0042] The estimation unit 414 uses the estimation model 425 to estimate, from the received work information, one or more communication and coordination items for the work indicated by the work information, and outputs the estimated communication and coordination items to the generation unit 418.

[0043] The search unit 415 searches the second liaison and coordination item DB 422 for the evaluation value of the work-related accident and the liaison and coordination items associated with the work information that matches the received work information, and outputs the searched evaluation value of the work-related accident and the liaison and coordination items to the extraction unit 416.

[0044] The search unit 415 compares, for example, the work content, work method, worker's occupation, work location, work date, and work area contained in the two pieces of work information, and if each piece of information matches, determines that the two pieces of work information match. However, the year and day of the work date do not need to be the same; the work date is determined to match if the month is the same. Alternatively, the work date may be determined to match if the season, which is set in advance by month and day, is the same.

[0045] The extraction unit 416 extracts, from the retrieved liaison and coordination items, liaison and coordination items that correspond to the evaluation value of the work-related accident that satisfies a predetermined condition, and outputs the extracted liaison and coordination items to the generation unit 418.

[0046] For example, the predetermined condition may represent the mode or median of the evaluation values ​​of the multiple entries corresponding to the received task information. In this case, one or more communication and coordination items corresponding to the mode or median of the evaluation values ​​are extracted.

[0047] As another example, the predetermined condition may be that the evaluation value of the plurality of entries corresponding to the received task information is greater than a threshold value, in which case one or more communication items corresponding to the evaluation value greater than the threshold value are extracted.

[0048] Furthermore, the search unit 415 searches the third communication and coordination item DB 423 and the fourth communication and coordination item DB 424 for communication and coordination items associated with work information that matches the received work information, and outputs the searched communication and coordination items to the generation unit 418.

[0049] The evaluation unit 417 calculates an evaluation value of the work accident corresponding to the work information of each entry and adds it to the entry when generating the second liaison coordination item DB 422. The method of calculating the evaluation value will be described later.

[0050] The generation unit 418 generates candidate information that includes the communication and coordination items output from the estimation unit 414, the search unit 415, and the extraction unit 416 as candidates for communication and coordination items for the scheduled work. Then, the generation unit 418 transmits the candidate information to the terminal device 302 via the communication unit 411.

[0051] Fig. 5 shows an example of candidate information displayed on the screen of terminal device 302. The candidate information in Fig. 5 includes communication coordination items 511 to 515. Of these, communication coordination items 511 and 512 are communication coordination items estimated by estimation unit 414.

[0052] The communication coordination item 513 is a communication coordination item searched from the second communication coordination item DB 422 and extracted by the extraction unit 416. The communication coordination item 514 is a communication coordination item searched from the third communication coordination item DB 423. The communication coordination item 515 is a communication coordination item searched from the fourth communication coordination item DB 424.

[0053] If the candidate information includes multiple communication and coordination items, the generation unit 418 may determine the display order according to the results of weighting those communication and coordination items, or may determine the display order by giving priority to the most recently selected communication and coordination item.

[0054] Next, the generation unit 418 receives a selection result indicating one or more liaison and coordination items selected from the candidate liaison and coordination items indicated by the candidate information from the terminal device 302 via the communication unit 411. The generation unit 418 then generates a new entry including the liaison and coordination item indicated by the received selection result and work information for the scheduled work, and adds the generated entry to the first liaison and coordination item DB 421. This updates the first liaison and coordination item DB 421.

[0055] Next, the generation unit 418 generates safety confirmation information including the communication and coordination items indicated by the received selection result and work information for the planned work, and transmits the safety confirmation information to the terminal device 302 via the communication unit 411.

[0056] The training unit 412 updates the estimation model 425 by performing machine learning to train the estimation model 425 using the updated first communication and coordination item DB 421 at a predetermined opportunity. As a result, the communication and coordination items selected by the user are included in the estimation results of the estimation model 425.

[0057] Furthermore, by repeating machine learning using the updated first contact and coordination item DB 421, the contact and coordination items in the second contact and coordination item DB 422, the third contact and coordination item DB 423, and the fourth contact and coordination item DB 424 will also be included in the estimation results of the estimation model 425. In this case, the number of contact and coordination items estimated by the estimation model 425 may be increased. After the machine learning has been repeated a predetermined number of times, the generation unit 418 may generate candidate information using only the contact and coordination items estimated by the estimation model 425.

[0058] 3, machine learning is performed using the work information of work performed in the past and the communication and coordination items actually used in that work to generate an estimation model 425. By using the generated estimation model 425 to estimate the communication and coordination items for planned work, it is possible to provide communication and coordination items appropriate for that work.

[0059] By including in the candidate information the liaison and coordination items searched from the second liaison and coordination item DB 422, it is possible to provide liaison and coordination items for work in which a work accident has occurred in the past or work in which a work accident is predicted to occur based on the results of patrols, thereby making it possible to issue warnings according to the occurrence status of work accidents.

[0060] By including the liaison and coordination items searched from the third liaison and coordination item DB 423 in the candidate information, it is possible to provide appropriate liaison and coordination items based on safety and health standards, notices, internal audit and external audit safety items, etc.

[0061] By including the liaison and coordination items searched from the fourth liaison and coordination item DB 424 in the candidate information, it is possible to provide liaison and coordination items appropriate to the work environment of the construction site.

[0062] The server 303 may generate candidate information without using some or all of the second liaison coordination matter DB 422, the third liaison coordination matter DB 423, and the fourth liaison coordination matter DB 424. If the second liaison coordination matter DB 422 is not used, the second liaison coordination matter DB 422 can be omitted. If the third liaison coordination matter DB 423 is not used, the third liaison coordination matter DB 423 can be omitted. If the fourth liaison coordination matter DB 424 is not used, the fourth liaison coordination matter DB 424 can be omitted.

[0063] The work information does not need to include all of the information on the work content, work method, worker's job type, work location, work date, and work area, but may include at least one of these. The work information may also include information other than the work content, work method, worker's job type, work location, work date, and work area, such as worker qualifications and work procedures.

[0064] The scheduled work is not limited to work at a construction site, but may be work at other work locations, such as a factory where products are manufactured, an office where clerical work is performed, a store where goods are sold, or a service location where services are provided to customers.

[0065] Fig. 6 is a flowchart showing an example of the second contact information provision process performed by the server 303 in Fig. 4. First, the reception unit 413 receives work information of a scheduled work from the terminal device 301 via the communication unit 411, and accepts the received work information (step 601).

[0066] Next, the estimation unit 414 uses the estimation model 425 to estimate, from the received work information, the communication and coordination items for the work indicated by the work information (step 602).

[0067] Next, the search unit 415 searches the second liaison and coordination item DB 422 for the evaluation value of the work accident and the liaison and coordination item associated with the work information that matches the received work information (step 603).Then, the extraction unit 416 extracts the liaison and coordination item corresponding to the evaluation value of the work accident that satisfies a predetermined condition from the searched liaison and coordination items (step 604).

[0068] Next, the search unit 415 searches the third communication coordination item DB 423 for communication coordination items associated with work information that matches the received work information (step 605).Then, the search unit 415 searches the fourth communication coordination item DB 424 for communication coordination items associated with work information that matches the received work information (step 606).

[0069] Next, the generation unit 418 generates candidate information including, as candidates, the communication and coordination items estimated in step 602, the communication and coordination items extracted in step 604, and the communication and coordination items searched for in steps 605 and 606 (step 607).The generation unit 418 then transmits the candidate information to the terminal device 302 via the communication unit 411 (step 608).

[0070] Next, the generation unit 418 receives a selection result indicating the selected communication and coordination item from the terminal device 302 via the communication unit 411 (step 609).The generation unit 418 then adds a new entry including the communication and coordination item indicated by the received selection result and the work information of the scheduled work to the first communication and coordination item DB 421 (step 610).

[0071] Next, the generation unit 418 generates safety confirmation information including the communication and coordination items indicated by the received selection result and work information for the scheduled work, and transmits the safety confirmation information to the terminal device 302 via the communication unit 411 (step 611).

[0072] Next, a method for calculating the evaluation value of an industrial accident contained in the second liaison and coordination item DB 422 will be described with reference to FIGS.

[0073] The evaluation unit 417 calculates the evaluation value E of the work-related accident by performing a predetermined calculation using the coefficients C1 to C4. The coefficient C1 indicates the type of work-related accident, the coefficient C2 indicates the characteristics of the injury in the work-related accident, the coefficient C3 indicates the range of the number of days of absence from work in the work-related accident, and the coefficient C4 indicates the status of safety management regarding the work-related accident.

[0074] The coefficient C1 is an example of a first numerical value, the coefficient C2 is an example of a second numerical value, the coefficient C3 is an example of a third numerical value, and the coefficient C4 is an example of a fourth numerical value.

[0075] Figure 7 shows an example of coefficient C1. The types of work-related accidents include eight types of accidents: cuts or scrapes, falls, being caught or caught in something, being hit or struck, flying or falling, falling or stumbling, and collapse or collapse. The larger the value of coefficient C1 corresponding to each type, the greater the severity of the accident.

[0076] Cuts or scrapes represent, for example, accidents involving lacerations caused by tools or the like. Falls represent, for example, accidents involving slipping and falling while walking. Being pinched or caught in represents, for example, an accident where a finger gets pinched between materials and a steel plate. Impact represents, for example, an accident involving a bruise caused by kickback from a machine tool. Being hit represents, for example, an accident involving contact with heavy machinery or the like.

[0077] Flying or falling refers to, for example, an accident involving contact with falling materials, etc. Crash or falling refers to, for example, an accident involving falling from scaffolding, and collapse or collapse refers to, for example, an accident involving being crushed under collapsing cargo, etc.

[0078] Figure 8 shows an example of coefficient C2. Injury locations include hands, below the ankles, arms, legs, torso, and head. Injury types include wounds, punctures, contusions, sprains, internal bleeding, burns, cracks, crush injuries, injuries, dislocations, muscle-tendon ruptures, ligament damage or ruptures, fractures, amputations, and compression amputations. Injury types further include hemopneumothorax, hematemesis, traumatic shock, cervical spine contusion, cervical spine sprain, nasal bone fracture, eye injury, depressed skull fracture, cervical spinal cord injury, and skull fracture-cerebral contusion.

[0079] The larger the coefficient C2 corresponding to the combination of body part and type, the greater the severity of the injury. The same coefficient may correspond to multiple combinations of body part and type.

[0080] Combinations of location and type are classified, for example, into injury level 1, injury level 2, injury level 3, and injury level 4. Injuries of injury level 1 are equivalent to mekuchin accidents and can be treated with first aid or examination. Injuries equivalent to mekuchin accidents are minor injuries that do not require medical treatment at a medical institution.

[0081] Injury level 2 injuries are injuries equivalent to accidents that do not require time off work and require temporary medical treatment. Injury level 3 injuries are injuries equivalent to accidents that require time off work, accompanied by partial or temporary loss of physical function and requiring ongoing medical treatment. Injury level 4 injuries are injuries equivalent to serious accidents, accompanied by death, loss of physical function, or significant impairment of physical function.

[0082] As an example, Injury Level 1 includes the following combination:

[0083] Hand wound, hand stab wound, hand bruise, hand sprain, Below the ankle - wound, below the ankle - stab wound, below the ankle - bruise, below the ankle - sprain, Arm - wound, arm - stab wound, arm - bruise, Foot - Wound

[0084] As an example, Injury Level 2 includes the following combination:

[0085] Hand - internal bleeding, hand - burns, hand - cracks, hand - crush injuries, hand - injuries, Internal bleeding below the ankle, burns below the ankle, cracks below the ankle, crush injuries below the ankle, injuries below the ankle, Arm - sprain, arm - internal bleeding, arm - burn, arm - crack, arm - crush injury, arm - injury, Foot puncture wound, Foot bruise, Foot sprain, Foot internal bleeding, Foot burn, Foot crack, Torso - wound, torso - stab wound, torso - bruise, torso - internal bleeding, torso - burn, head wound, head stab wound, head bruise, head burn

[0086] As an example, Injury Level 3 includes the following combination:

[0087] Hand dislocation, hand tendon rupture, hand ligament injury or rupture, hand fracture, hand amputation, Below the ankle - dislocation, below the ankle - muscle tendon rupture, below the ankle - ligament injury or rupture, below the ankle - fracture, below the ankle - amputation, Arm - dislocation, Arm - muscle tendon rupture, Arm - ligament injury or rupture, Arm - fracture, Arm - amputation, Foot - Crush injury, Foot - Injury, Foot - Dislocation, Foot - Tendon rupture, Foot - Ligament injury or rupture, Torso - Crack, Torso - Crush injury, Torso - Injury, Torso - Muscle-tendon rupture, Head-cervical contusion, head-cervical sprain, head-internal bleeding, head-nasal fracture

[0088] As an example, Injury Level 4 includes the following combination:

[0089] Hand-pressure amputation, Below-ankle compression amputation, Arm - compression amputation, Foot - fracture, Foot - amputation, Foot - compression amputation, Torso - Ligament injury or rupture, Torso - Hemo-pneumothorax, Torso - Hematemesis, Torso - Fracture, Torso - Amputation, Torso - Compression amputation, Torso - Traumatic shock, Head - crush injury, head - injury, head - crack, head - eye injury, head - fracture, head - depressed skull fracture, head - cervical spinal cord injury, head - skull fracture cerebral contusion

[0090] Figure 9 shows an example of coefficient C3. The range of days lost from work includes 0 days, 1-3 days, 4 days or more, serious injury, and death. The larger the value of coefficient C3 corresponding to each range, the greater the severity of the injury.

[0091] Figure 10 shows an example of coefficient C4. Safety management judgment items include the duty of care and the causes of accidents (4M analysis).

[0092] The duty of care for safety represents the duty of care for safety of those involved in the construction work. Those involved in the construction work are, for example, the officers or employees of the construction company that received the order for the work from the customer, and the officers, employees, or workers of the subcontracting company that received the order for specialized work from the construction company. The cause of the accident (4M analysis) represents the cause of the work-related accident.

[0093] The management level indicates the status of safety management for each judgment item and is expressed as a five-level numerical value from 1 to 5. The higher the value of the coefficient C4 corresponding to each management level, the greater the responsibility for safety management.

[0094] For example, a management level of "1" for the duty of care indicates that the work-related accident occurred due to force majeure, while a management level of "2" indicates that the work-related accident occurred due to the worker's intentional or gross negligence.

[0095] Control level "3" indicates that a work-related accident occurred due to a failure to implement preventive measures for foreseeable dangers, while control level "4" indicates that a work-related accident occurred due to a failure to ensure compliance with company safety regulations, work standards, work practices, etc. Control level "5" indicates that a work-related accident occurred due to a failure to comply with laws and regulations.

[0096] A control level of "1" for the cause of an accident (4M analysis) indicates that the work-related accident occurred due to a cause for which no measures to prevent recurrence can be taken, while a control level of "2" indicates that the work-related accident occurred due to a human-related cause for which measures to prevent recurrence exist.

[0097] Control level "3" indicates that the occupational accident occurred due to human and equipment-related causes for which there are measures to prevent recurrence, control level "4" indicates that the occupational accident occurred due to human, equipment, and work-related causes for which there are measures to prevent recurrence, and control level "5" indicates that the occupational accident occurred due to human, equipment, work, and management-related causes for which there are measures to prevent recurrence.

[0098] The duty of care is a matter for which the responsibility of the construction company that received the work order from the client is primarily questioned, while the cause of the accident (4M analysis) is a matter for which the responsibility of both the construction company and the subcontractor is questioned.

[0099] In addition to the duty of care and causes of accidents (4M analysis), the items to be considered for safety management may also include education or training, equipment, risk management assessment, awareness of danger, mental preparation, work procedures or meeting instructions, location of occurrence, work location, actions, tools or machinery, number of people, etc.

[0100] Education or training refers to education or training for workers. Equipment refers to the maintenance of equipment at the construction site. Risk management assessment refers to the assessment of the possibility and severity of work-related accidents. Hazard awareness refers to the awareness of hazards among those involved in the construction. Mental preparation refers to the mental preparation of workers regarding their actions.

[0101] The work procedure manual or meeting instruction manual indicates the worker's compliance with the work procedure manual or meeting instruction manual. The location of the occurrence indicates the location where the work accident occurred. The work location indicates the location where the worker performs the work. The actions indicate the actions of the worker. The tools or machines indicate the tools or machines used by the worker. The number of people indicates the number of people in the work crew performing the work.

[0102] The evaluation unit 417 calculates the evaluation value E, for example, using the following formula.

[0103] E=C1×(C2+C3)×C4 (1)

[0104] The evaluation value E in formula (1) increases as the severity of the accident increases, as the severity of the injury increases, and as the responsibility for safety management increases. Therefore, the evaluation value E represents the seriousness of the work-related accident.

[0105] As an example, let's assume that the type of work-related accident is a cut or scrape, the combination of injury location and type is a hand injury, the number of days off work is 0, the safety management judgment item is a duty of care, and the safety management situation is force majeure. In this case, from Figures 7 to 10, C1 = 0.7, C2 = 1, C3 = 1, and C4 = 0.8, and from formula (1), E = 1.12.

[0106] As another example, let's assume that the type of work-related accident is flying debris, the combination of injury location and type is torso-bruise, the number of days off work is three, the safety management judgment item is duty of care, and the safety management situation is failure to implement preventive measures for foreseeable dangers. In this case, from Figures 7 to 10, C1 = 1.25, C2 = 10, C3 = 2, and C4 = 1.2, and from equation (1), E = 18.

[0107] According to this calculation method, an objective evaluation value E is calculated by properly balancing the seriousness of the accident, the severity of the injury, and the weight of responsibility for safety management, thereby improving the validity of the evaluation of industrial accidents using the evaluation value E.

[0108] The evaluation unit 417 may calculate the evaluation value E using the following formula instead of formula (1).

[0109] E=C1×C2×C3×C4 (2)

[0110] By using predicted work-related accidents based on the results of patrols as the evaluation target, the evaluation value E of predicted work-related accidents can be calculated in the same way as for work-related accidents that have actually occurred. In this case, since it is difficult to predict the location and type of injury and the number of days off work, predetermined values ​​may be used as coefficients C2 and C3. The predetermined values ​​may be statistical values ​​of coefficients corresponding to work-related accidents that have occurred in the past at each construction site. Statistical values ​​of the coefficients may include the mean, median, and mode.

[0111] The configuration of the contact information providing device 101 in FIG. 1 is merely an example, and some of the components may be omitted or changed depending on the use or conditions of the contact information providing device 101.

[0112] The configuration of the contact information providing system in FIG. 3 is merely an example, and some of the components may be omitted or changed depending on the purpose or conditions of the contact information providing system.

[0113] The configuration of server 303 in Figure 4 is merely an example, and some components may be omitted or changed depending on the configuration or conditions of the contact information providing system. For example, if the training of the machine learning model is performed by an external device, training unit 412 may be omitted. If the evaluation value of the work-related accident is calculated by an external device, evaluation unit 417 may be omitted.

[0114] The flowcharts of FIGS. 2 and 6 are merely examples, and some of the processing may be omitted or changed depending on the configuration or conditions of the contact information providing device 101 or the contact information providing system.

[0115] The candidate information shown in Figure 5 is merely an example, and the contact and coordination items included in the candidate information will change depending on the scheduled work. The coefficients shown in Figures 7 to 10 are merely an example, and the values ​​of each coefficient may be changed depending on the purpose or conditions of the contact information providing system.

[0116] Equations (1) and (2) are merely examples, and the evaluation unit 417 may calculate the evaluation value E using a different calculation formula.

[0117] Fig. 11 shows an example of the hardware configuration of an information processing device used as the contact information providing device 101 in Fig. 1 and the server 303 in Fig. 4. The information processing device in Fig. 11 includes a CPU (Central Processing Unit) 1101, memory 1102, an input device 1103, an output device 1104, an auxiliary storage device 1105, a media drive device 1106, and a network connection device 1107. These components are hardware and are connected to each other by a bus 1108.

[0118] The memory 1102 is, for example, a semiconductor memory such as a read-only memory (ROM) or a random access memory (RAM), and stores programs and data used in processing. The memory 1102 may operate as the storage unit 419 in FIG.

[0119] The CPU 1101 (processor) operates as the reception unit 111 and the estimation unit 112 in Fig. 1 by executing a program using the memory 1102. The CPU 1101 also operates as the training unit 412, reception unit 413, estimation unit 414, search unit 415, extraction unit 416, evaluation unit 417, and generation unit 418 in Fig. 4 by executing a program using the memory 1102.

[0120] The input device 1103 is, for example, a keyboard, a pointing device, etc., and is used to input instructions or information from a user or operator. The output device 1104 is, for example, a display device, a printer, etc., and is used to output inquiries or instructions to a user or operator and processing results. The processing results may be candidate information. The output device 1104 may operate as the output unit 113 in FIG. 1.

[0121] The auxiliary storage device 1105 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, a tape device, or the like. The auxiliary storage device 1105 may be a hard disk drive or a solid state drive (SSD). The information processing device stores programs and data in the auxiliary storage device 1105 and can use them by loading them into the memory 1102. The auxiliary storage device 1105 may operate as the storage unit 419 in FIG. 4.

[0122] The medium drive device 1106 drives the portable recording medium 1109 and accesses the recorded contents thereof. The portable recording medium 1109 is a memory device, a flexible disk, an optical disk, a magneto-optical disk, etc. The portable recording medium 1109 may be a CD-ROM (Compact Disk Read Only Memory), a DVD (Digital Versatile Disk), a USB (Universal Serial Bus) memory, etc. A user or operator can store programs and data in the portable recording medium 1109 and load them into the memory 1102 for use.

[0123] In this way, the computer-readable recording medium that stores the program and data used in the processing is a physical (non-transitory) recording medium such as the memory 1102, the auxiliary storage device 1105, or the portable recording medium 1109.

[0124] The network connection device 1107 is a communication device that is connected to the communication network 304 and performs data conversion associated with communication. The information processing device receives programs and data from external devices via the network connection device 1107 and can use them by loading them into the memory 1102. The network connection device 1107 may operate as the output unit 113 in FIG. 1 or the communication unit 411 in FIG. 4.

[0125] It should be noted that the information processing device does not need to include all of the components shown in Figure 11, and some of the components may be omitted or modified depending on the application or conditions of the information processing device. For example, if an interface with a user or operator is not required, the input device 1103 and the output device 1104 may be omitted. If the portable recording medium 1109 is not used, the medium drive device 1106 may be omitted.

[0126] The terminal device 301 and the terminal device 302 in FIG. 3 can be information processing devices similar to those in FIG.

[0127] Although the disclosed embodiments and their advantages have been described in detail, those skilled in the art may make various modifications, additions, and omissions without departing from the scope of the invention as clearly set forth in the claims. [Explanation of symbols]

[0128] 101 Contact information providing device 111, 413 Reception 112, 414 Estimation part 113 Output section 301, 302 Terminal equipment 303 Server 304 Communication Network 411 Communications Department 412 Training Department 415 Search Department 416 Extraction part 417 Evaluation Department 418 Generation part 419 Storage section 425 Estimation Model 511~515 Contact and Coordination Matters 1101 CPU 1102 memory 1103 Input Device 1104 Output Device 1105 Auxiliary storage device 1106 Media drive unit 1107 Network connection device 1108 Bus 1109 Portable recording media

Claims

1. a reception unit that receives work information about scheduled work; an estimation unit that estimates contact information for the work schedule from the work information of the work schedule using a machine learning model generated using the work information and the contact information; an output unit that outputs contact information for the work schedule as candidate information; A contact information providing device comprising:

2. a search unit that searches for contact information corresponding to the work information of the scheduled work from supplemental work accident evaluation information in which work information, contact information, and evaluation values ​​of work accidents are associated with each other; an extraction unit that extracts contact information corresponding to an evaluation value of an industrial accident that satisfies a predetermined condition from the contact information corresponding to the work information of the work schedule; Furthermore, 2. The contact information providing device according to claim 1, wherein the output unit further outputs the extracted contact information as the candidate information.

3. The contact information providing device described in claim 2, characterized in that the evaluation value of the work-related accident included in the work-related accident evaluation supplementary information is calculated based on a first numerical value indicating the type of the work-related accident, a second numerical value indicating the characteristics of the injury in the work-related accident, a third numerical value indicating the range of the number of days of absence from work in the work-related accident, and a fourth numerical value indicating the status of safety management regarding the work-related accident.

4. 4. The contact information providing device according to claim 2, wherein the work-related accident is predicted based on the results of a patrol of a work site.

5. The system further includes a search unit that searches for contact information corresponding to the work information of the scheduled work from work rule supplemental information in which work information and contact information based on work rules are associated with each other, 2. The contact information providing device according to claim 1, wherein the output unit further outputs the searched contact information as the candidate information.

6. a search unit that searches for contact information corresponding to the work information of the scheduled work from work environment supplemental information in which work information and contact information based on the work environment are associated with each other; 2. The contact information providing device according to claim 1, wherein the output unit further outputs the searched contact information as the candidate information.

7. Accepting planned work information, Using a machine learning model generated using the work information and the contact information, estimate contact information for the work schedule from the work information of the work schedule; outputting contact information for the work schedule as candidate information; A method for providing contact information, characterized in that the processing is performed by a computer.

8. Accepting planned work information, Using a machine learning model generated using the work information and the contact information, estimate contact information for the work schedule from the work information of the work schedule; outputting contact information for the work schedule as candidate information; A contact information providing program for causing a computer to execute a process.

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