Industrial accident digitization evaluation device, industrial accident digitization evaluation method, and industrial accident digitization evaluation program

Abstract

To improve validity of evaluation for industrial accidents.SOLUTION: A selection unit selects a first numeric value corresponding to a type of an industrial accident to be evaluated from among numeric values associated with respective types of industrial accidents stored in a storage unit. The selection unit selects a second numeric value corresponding to the characteristics of an injury in the industrial accident to be evaluated, from among numeric values associated with respective characteristics of the injury stored in the storage unit. The selection unit selects a third numeric value corresponding to a range to which the number of absent days in the industrial accident to be evaluated belongs, from among numeric values associated with respective ranges of absent days stored in the storage unit. The selection unit selects a fourth numeric value corresponding to a safety management status related to the industrial accident to be evaluated, from among numeric values associated with respective safety management statuses stored in the storage unit. A calculation unit calculates the evaluation value for the industrial accident to be evaluated on the basis of the first numeric value, the second numeric value, the third numeric value, and the fourth numeric value. An output unit outputs the evaluation value.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a technique for quantifying and evaluating industrial accidents. [Background technology]

[0002] Occupational accidents can occur at construction sites such as civil engineering and architectural works. Occupational accidents can be evaluated using, for example, the frequency rate, which indicates the frequency of accident occurrence, or the severity rate, which indicates the severity of the accident. The frequency rate indicates the number of fatalities and injuries due to occupational accidents per 1 million total actual working hours, and the severity rate indicates the number of work days lost per 1,000 total actual working hours.

[0003] 2. Description of the Related Art With regard to industrial accidents, a danger prediction activity support system for supporting danger prediction activities is known (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 7274709 Summary of the Invention [Problem to be solved by the invention]

[0005] The conventional frequency rate and severity rate have ambiguous evaluation criteria as indicators for continuously monitoring industrial accidents that occur at construction sites. Because they indicate the frequency of accidents based on the number of accidents (number of people) and the number of days unable to work, it is difficult to objectively evaluate various individual industrial accidents using the frequency rate or severity rate as a response to accident prevention measures, rather than a numerical evaluation that takes into account the characteristics of each accident.

[0006] For example, even if an injury is minor and does not require medical treatment, the severity rate increases if it occurs frequently, and the frequency rate also increases if the number of days off work is four or more. For this reason, construction sites that have not experienced any serious accidents may be rated lower than those that have, reducing the validity of the evaluation results. In addition, the evaluation does not take into account the severity and causes of accidents.

[0007] Furthermore, this problem does not only arise when evaluating work-related accidents that occur at construction sites, but also when evaluating work-related accidents that occur in various work locations.

[0008] In one aspect, the present invention aims to quantify and improve the validity of the assessment of industrial accidents. The assessment can be applied to accident and safety patrols, and a series of new standards can be used to continuously reduce industrial accidents. [Means for solving the problem]

[0009] In one proposal, the work-related accident quantification evaluation device includes a storage unit, a selection unit, a calculation unit, and an output unit. The storage unit stores a numerical value associated with each of a plurality of types of work-related accidents (accident types), a numerical value associated with each of a plurality of injury characteristics, a numerical value associated with each of a plurality of ranges of the number of days of absence from work, and a numerical value associated with each of a plurality of safety management situations.

[0010] The selection unit selects a first numerical value corresponding to the type (type of accident) of the work-related accident to be evaluated from among the numerical values ​​associated with each of a plurality of types of work-related accidents. The selection unit selects a second numerical value (severity of injury) corresponding to the characteristics of the injury in the work-related accident to be evaluated from among the numerical values ​​associated with each of a plurality of injury characteristics (combinations of body part and injury status). The selection unit selects a third numerical value corresponding to the range to which the number of days absent from work in the work-related accident to be evaluated belongs from among the numerical values ​​associated with each of a plurality of ranges of the number of days absent from work. The selection unit selects a fourth numerical value corresponding to the status of safety management regarding the work-related accident to be evaluated from among the numerical values ​​associated with each of a plurality of safety management statuses.

[0011] The calculation unit calculates an evaluation value of the work-related accident of the evaluation target based on the first numerical value, the second numerical value, the third numerical value, and the fourth numerical value. The output unit outputs the evaluation value. Effect of the Invention

[0012] On the one hand, it can improve the validity of the assessment of occupational accidents, and by applying the same assessment to accident and safety patrols, a new set of standards can be used to continuously reduce occupational accidents. [Brief description of the drawings]

[0013] [Figure 1] 1 is a functional configuration diagram of an occupational accident quantification evaluation device according to an embodiment; [Diagram 2] 13 is a flowchart of a first work accident quantification evaluation process. [Diagram 3] FIG. 1 is a functional configuration diagram showing a specific example of an occupational accident quantification evaluation device. [Figure 4] FIG. 11 is a diagram showing first coefficient information. [Diagram 5] FIG. 11 is a diagram showing second coefficient information. [Figure 6] FIG. 11 is a diagram showing third coefficient information. [Figure 7] FIG. 13 is a diagram showing fourth coefficient information. [Figure 8] FIG. 13 is a diagram showing the transition of a cumulative evaluation value V. [Figure 9] 13 is a flowchart of a second work-related accident quantification evaluation process. [Figure 10] FIG. 13 is a diagram showing the predicted transition of work-related accidents based on the results of patrols. [Figure 11] FIG. 2 is a hardware configuration diagram of an information processing device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] Hereinafter, the embodiments will be described in detail with reference to the drawings.

[0015] Fig. 1 shows an example of a functional configuration of an occupational accident quantification evaluation device according to an embodiment. The occupational accident quantification evaluation device 101 in Fig. 1 includes a storage unit 111, a selection unit 112, a calculation unit 113, and an output unit 114. The storage unit 111 stores a numerical value associated with each of a plurality of types of occupational accidents, a numerical value associated with each of a plurality of injury characteristics, a numerical value associated with each of a plurality of ranges of the number of days absent from work, and a numerical value associated with each of a plurality of safety management situations.

[0016] Fig. 2 is a flowchart showing an example of a first work-related accident quantification evaluation process performed by the work-related accident quantification evaluation device 101 of Fig. 1. First, the selection unit 112 selects a first numerical value corresponding to the type of work-related accident to be evaluated from the numerical values ​​associated with each of a plurality of types of work-related accidents (step 201). Next, the selection unit 112 selects a second numerical value corresponding to the characteristics of the injury in the work-related accident to be evaluated from the numerical values ​​associated with each of a plurality of injury characteristics (step 202).

[0017] Next, the selection unit 112 selects a third numerical value corresponding to the range to which the number of days absent from work for the work accident to be evaluated belongs from among the numerical values ​​associated with each of the multiple ranges of the number of days absent from work (step 203). Next, the selection unit 112 selects a fourth numerical value corresponding to the status of safety management regarding the work accident to be evaluated from among the numerical values ​​associated with each of the multiple safety management statuses (step 204).

[0018] Next, the calculation unit calculates an evaluation value of the work-related accident to be evaluated based on the first numerical value, the second numerical value, the third numerical value, and the fourth numerical value (step 205). Then, the output unit outputs the evaluation value (step 206).

[0019] According to the occupational accident quantification evaluation device 101 in FIG. 1, it is possible to improve the validity of the evaluation of occupational accidents.

[0020] Fig. 3 shows a specific example of the work-related accident quantification evaluation device 101 of Fig. 1. The work-related accident quantification evaluation device 301 of Fig. 3 includes a reception unit 311, a selection unit 312, a calculation unit 313, an output unit 314, and a storage unit 315. The work-related accident quantification evaluation device 301 evaluates work-related accidents that occur at construction sites such as civil engineering works and architectural works. A construction site is an example of a work location.

[0021] The selection unit 312, the calculation unit 313, the output unit 314, and the storage unit 315 correspond to the selection unit 112, the calculation unit 113, the output unit 114, and the storage unit 111 in FIG. 1, respectively.

[0022] The storage unit 315 stores first coefficient information 321, second coefficient information 322, third coefficient information 323, and fourth coefficient information 324.

[0023] The first coefficient information 321 includes a plurality of coefficients. Each coefficient of the first coefficient information 321 corresponds to one of a plurality of types of industrial accidents. Each coefficient of the first coefficient information 321 is an example of a numerical value corresponding to each of a plurality of types of industrial accidents.

[0024] Fig. 4 shows an example of the first coefficient information 321. The first coefficient information 321 in Fig. 4 includes eight types of accidents as types of work-related accidents, namely, cuts or scrapes, falls, being pinched or caught in, collision, being struck by something, flying or falling, falling or tumbling, and collapse or collapse.

[0025] Cuts or abrasions refer to, for example, accidents involving lacerations caused by tools or the like. Falls refer to, for example, accidents involving slipping and falling while walking. Being pinched or caught in refers to, for example, accidents involving fingers being pinched between materials and a steel plate. Impact refers to, for example, accidents involving bruising caused by kickback from machine tools. Being hit by something refers to, for example, accidents involving contact with heavy machinery or the like.

[0026] "Flying" or "falling" refers to, for example, an accident involving contact with falling materials, etc. "Crashing" or "falling" refers to, for example, an accident involving falling from scaffolding, etc. "Collapse" or "collapse" refers to, for example, an accident involving being crushed by collapsing cargo, etc.

[0027] The first coefficient information 321 includes a coefficient associated with each type. The larger the coefficient value, the greater the seriousness of the accident.

[0028] The second coefficient information 322 includes a plurality of coefficients. Each coefficient of the second coefficient information 322 is associated with one of a plurality of injury characteristics. Each coefficient of the second coefficient information 322 is an example of a numerical value associated with each of a plurality of injury characteristics. The injury characteristics include the location of the injury and the type of the injury.

[0029] 5 shows an example of the second coefficient information 322. The second coefficient information 322 in FIG. 5 includes hand, lower ankle, arm, leg, torso, and head as injury sites. The second coefficient information 322 includes wound, puncture, contusion, sprain, internal bleeding, burn, crack, crush injury, injury, dislocation, muscle-tendon rupture, ligament injury or rupture, fracture, amputation, and compression amputation as injury types. The second coefficient information 322 further includes hemopneumothorax, hematemesis, traumatic shock, cervical vertebral contusion, cervical vertebral sprain, nasal bone fracture, eye injury, depressed skull fracture, cervical spinal cord injury, and skull fracture cerebral contusion as injury types.

[0030] The second coefficient information 322 includes a coefficient associated with a combination of a part and a type. The larger the coefficient value, the greater the severity of the injury. The same coefficient may be associated with multiple combinations of a part and a type.

[0031] Combinations of body part 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 red chin injuries that can be treated with first aid or examination. Injuries equivalent to red chin injuries are minor injuries that do not require medical treatment at a medical institution.

[0032] Level 2 injuries are injuries that require temporary medical treatment and are equivalent to accidents that do not require time off work. Level 3 injuries are injuries that require continuous medical treatment and are equivalent to accidents that require time off work, accompanied by partial or temporary loss of physical function. Level 4 injuries are injuries that are equivalent to serious accidents, accompanied by death, loss of physical function, or severe impairment of physical function.

[0033] As an example, Injury Level 1 would include a combination of the following:

[0034] 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

[0035] As an example, injury level 2 would include a combination of the following:

[0036] Hand - internal bleeding, hand - burns, hand - cracks, hand - crush injuries, hand - injuries, ankle internal bleeding, ankle burns, ankle cracks, ankle crush injury, ankle injury, 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

[0037] As an example, injury level 3 would include a combination of the following:

[0038] Hand dislocation, Hand tendon rupture, Hand ligament injury or rupture, Hand fracture, Hand amputation, Dislocation of the ankle below, rupture of the tendon below the ankle below, injury or rupture of the ligament below the ankle below, fracture below the ankle below, amputation below the ankle below, 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, Torso - Injury, Torso - Muscle-tendon rupture, Head-cervical contusion, head-cervical sprain, head-internal bleeding, head-nasal fracture

[0039] As an example, injury level 4 would include a combination of the following:

[0040] 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-skull depressed fracture, head-cervical spinal cord injury, head-skull fracture cerebral contusion

[0041] The third coefficient information 323 includes a plurality of coefficients. Each coefficient of the third coefficient information 323 corresponds to one of a plurality of ranges of the number of non-work days. Each coefficient of the third coefficient information 323 is an example of a numerical value corresponding to each of the plurality of ranges of the number of non-work days.

[0042] Fig. 6 shows an example of the third coefficient information 323. The third coefficient information 323 in Fig. 6 includes ranges of the number of days off work, such as 0 days, 1-3 days, 4 days or more, serious, and death. This third coefficient information 323 includes a coefficient associated with each range. The larger the coefficient value, the greater the severity of the injury.

[0043] The fourth coefficient information 324 includes a plurality of coefficients. Each coefficient of the fourth coefficient information 324 is associated with one of a plurality of safety management situations. Each coefficient of the fourth coefficient information 324 is an example of a numerical value associated with each of a plurality of safety management situations.

[0044] Fig. 7 shows an example of the fourth coefficient information 324. The fourth coefficient information 324 in Fig. 7 includes the duty of care and the cause of disaster (4M analysis) as judgment items for safety management.

[0045] The duty of care indicates the duty of care for safety of those involved in the construction work. Those involved in the construction work are, for example, the directors or employees of the construction company that received the order for the construction work from the customer, and the directors, employees, or workers of the cooperating company that received the order for specialized construction work from the construction company. Workers are the workers who perform specified tasks at the construction site. The cause of the accident (4M analysis) indicates the cause of the work-related accident.

[0046] The fourth coefficient information 324 includes five levels of management levels (1 to 5) as the status of safety management for each check item, and also includes a coefficient associated with each management level. The higher the coefficient value, the heavier the responsibility for safety management.

[0047] For example, a management level of "1" in the duty of care indicates that a workplace accident occurred due to force majeure, while a management level of "2" indicates that a workplace accident occurred due to the worker's intentional or gross negligence.

[0048] Management level "3" indicates that the workplace accident occurred due to failure to implement preventive measures for foreseeable hazards, while management level "4" indicates that the workplace accident occurred due to failure to ensure compliance with company safety regulations, work standards, work practices, etc. Management level "5" indicates that the workplace accident occurred due to failure to comply with laws and regulations.

[0049] A control level of "1" for the cause of an accident (4M analysis) indicates that the accident occurred due to a cause for which no preventive measures can be taken, while a control level of "2" indicates that the accident occurred due to a human-related cause for which preventive measures exist.

[0050] A control level of "3" indicates that the accident occurred due to human and equipment-related causes that have preventive measures in place, a control level of "4" indicates that the accident occurred due to human, equipment, and work-related causes that have preventive measures in place, and a control level of "5" indicates that the accident occurred due to human, equipment, work, and management-related causes that have preventive measures in place.

[0051] 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 held accountable, while the cause of the accident (4M analysis) is a matter for which the responsibility of both the construction company and the cooperating companies is held accountable.

[0052] The fourth coefficient information 324 may include, in addition to the safety precautions and causes of accidents (4M analysis), 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. as safety management judgment items.

[0053] Education or training refers to education or training for workers. Equipment refers to the maintenance of facilities at the construction site. Risk management assessment refers to the evaluation of the possibility and severity of industrial accidents. Danger awareness refers to the danger awareness of those involved in the construction. Mental preparation refers to the mental preparation of workers regarding their actions.

[0054] The work procedure manual or meeting instructions represent the worker's compliance with the work procedure manual or meeting instructions. The location of the occurrence represents the location where the industrial accident occurred. The work location represents the location where the worker performs the work. The actions represent the worker's actions. The tools or machines represent the tools or machines used by the worker. The number of people represents the number of people in the work crew performing the work.

[0055] A user inputs information indicating the type of the work-related accident X to be evaluated, the part and type of injury of the worker who suffered the work-related accident X, the number of days off work of the worker who suffered the work-related accident X, and the judgment items and conditions of safety management related to the work-related accident X, into the work-related accident quantification evaluation device 101. The reception unit 311 receives the information input by the user. The work-related accident X to be evaluated is, for example, a work-related accident that occurred at a construction site.

[0056] The selection unit 312 selects a coefficient C1 corresponding to the type of work accident X from among the coefficients included in the first coefficient information 321 in accordance with the received information. Next, the selection unit 312 selects a coefficient C2 corresponding to the site and type of injury of the worker who suffered the work accident X from among the coefficients included in the second coefficient information 322 in accordance with the received information.

[0057] Next, the selection unit 312 selects, according to the received information, from among the coefficients included in the third coefficient information 323, a coefficient C3 corresponding to the number of days off work of the worker who suffered the work-related accident X. Next, the selection unit 312 selects, according to the received information, from among the coefficients included in the fourth coefficient information 324, a coefficient C4 corresponding to the safety management judgment items and circumstances related to the work-related accident X.

[0058] 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.

[0059] The calculation unit 313 performs a predetermined calculation using the selected coefficients C1 to C4 to calculate an evaluation value E of the work accident X, and the output unit 314 outputs the evaluation value E. The calculation unit 313 calculates the evaluation value E, for example, by the following formula.

[0060] E = C1 × (C2 + C3) × C4 (1)

[0061] 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 importance of the occurred work-related accident X. The user can recognize the importance of the work-related accident X from the output evaluation value E and objectively evaluate the work-related accident X.

[0062] As an example, assume that the type of industrial accident X is a cut or scrape, the combination of the injury location and type is a hand injury, the number of days off work is 0, the safety management judgment item is a duty to take safety precautions, and the safety management situation is an act of God. In this case, from Figures 4 to 7, C1 = 0.7, C2 = 1, C3 = 1, and C4 = 0.8, and from formula (1), E = 1.12.

[0063] As another example, assume that the type of industrial accident X is flying debris, the combination of injury location and type is torso-bruise, the number of days off work is 3, 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 4 to 7, C1 = 1.25, C2 = 10, C3 = 2, and C4 = 1.2, and from formula (1), E = 18.

[0064] According to this calculation method, an objective evaluation value E is calculated by properly balancing the seriousness of the accident, the severity of the injuries, and the weight of the responsibility for safety management, thereby improving the validity of the evaluation of industrial accidents using the evaluation value E.

[0065] The calculation unit 313, for example, calculates an evaluation value E of work-related accidents that occurred at each of a plurality of construction sites, and obtains the sum of the evaluation values ​​E of one or more work-related accidents that occurred at each construction site within a predetermined period as the evaluation value S of the work site in charge of that construction site. The staff at the work site are employees of the construction company. In this case, the output unit 314 outputs the evaluation value S of each of the plurality of work sites together with the evaluation value E of each work-related accident that occurred at each construction site within the predetermined period.

[0066] According to this calculation method, the evaluation value S of each workplace is calculated using the objective evaluation value E, improving the validity of the evaluation of the workplace using the evaluation value S. For example, the evaluation value S of a workplace where only work-related accidents of injury level 1 have occurred is likely to be lower than the evaluation value S of a workplace where work-related accidents of injury level 4 have occurred, improving the reliability of comparative evaluations between workplaces.

[0067] This will increase the sense of fairness in the comparative evaluations between work sites, so that work site staff and employees of cooperating companies will be convinced of the evaluation results and are expected to proactively propose improvement measures such as measures to prevent recurrence. It is also possible to set a numerical target for the average evaluation value E or the upper limit of evaluation value S at each work site.

[0068] The calculation unit 313 calculates, for example, the sum of the evaluation values ​​S of the respective multiple work sites as a cumulative evaluation value V, and the output unit 314 outputs the cumulative evaluation value V. By calculating the cumulative evaluation value V for each predetermined period, it is possible to determine the trend of the cumulative evaluation value V over a long period of time.

[0069] FIG. 8 shows an example of the transition of the cumulative evaluation value V. The horizontal axis represents time. Curve 801 represents the change over time of the cumulative evaluation value V. Curve 811 represents the change over time of the incidence rate of work-related accidents of type A, curve 812 represents the change over time of the incidence rate of work-related accidents of type B, and curve 813 represents the change over time of the incidence rate of work-related accidents of type C. The incidence rate of a specific type of work-related accident represents the ratio of the number of work-related accidents of a specific type to the number of work-related accidents that occurred within a specified period.

[0070] Triangle 821 represents a work-related accident of type A, triangle 822 represents a work-related accident of type B, and triangle 823 represents a work-related accident of type C. The height of each triangle represents the evaluation value E, and the length of the base of each triangle represents the impact of the work-related accident or the breadth of its scope of impact (company, society, world, etc.). Therefore, larger triangles represent work-related accidents of higher severity, and smaller triangles represent work-related accidents of lower severity.

[0071] By continuously monitoring the progress of the cumulative evaluation value V and the seriousness of each work-related accident, it is possible to effectively implement measures to prevent recurrence and reduce the occurrence of work-related accidents.

[0072] The calculation unit 313 may calculate the evaluation value E by the following formula, instead of formula (1).

[0073] E = C1 × C2 × C3 × C4 (2)

[0074] The calculation unit 313 may use only any three of the coefficients C1 to C4 to calculate the evaluation value E, or may use only any two of the coefficients C1 to C4 to calculate the evaluation value E. For example, when only the coefficients C1 to C3 are used, the calculation unit 313 may calculate the evaluation value E by any of the following formulas.

[0075] E = C1 × (C2 + C3) (3) E = C1 × C2 × C3 (4)

[0076] Fig. 9 is a flowchart showing an example of the second work accident quantification evaluation process performed by the work accident quantification evaluation device 301 in Fig. 3. In the work accident quantification evaluation process in Fig. 9, evaluation values ​​S of N work sites (N is an integer equal to or greater than 1) are calculated.

[0077] First, the reception unit 311 sets the control variable i to 1 (step 901), and receives information on industrial accidents that occurred within a predetermined period at the construction site managed by the i-th work site from the user (step 902). The information on each industrial accident indicates the type of industrial accident, the location and type of injury of the worker who suffered the industrial accident, the number of days the worker suffered the industrial accident was absent, and the judgment items and status of safety management related to the industrial accident.

[0078] Next, the selection unit 312 selects a coefficient C1 corresponding to each type of work-related accident from among the coefficients included in the first coefficient information 321 in accordance with the received information (step 903). Next, the selection unit 312 selects a coefficient C2 corresponding to the location and type of injury of each worker who has suffered a work-related accident from among the coefficients included in the second coefficient information 322 in accordance with the received information (step 904).

[0079] Next, the selection unit 312 selects a coefficient C3 corresponding to the number of days off work for each worker who has suffered an industrial accident from among the coefficients included in the third coefficient information 323 in accordance with the received information (step 905). Next, the selection unit 312 selects a coefficient C4 corresponding to the safety management judgment items and circumstances related to each industrial accident from among the coefficients included in the fourth coefficient information 324 in accordance with the received information (step 906).

[0080] Next, the calculation unit 313 performs a predetermined calculation using the selected coefficients C1 to C4 to calculate an evaluation value E for each work-related accident (step 907), and uses the evaluation value E for each work-related accident to calculate an evaluation value S for the i-th work site (step 908).

[0081] Next, the reception unit 311 compares i with N (step 909). If i is smaller than N (step 909, NO), the reception unit 311 increments i by 1 (step 911). Then, the occupational accident quantification evaluation device 301 repeats the processes from step 902 onwards.

[0082] If i=N (step 909, YES), the output unit 314 outputs the evaluation value S of each of the N work sites together with the evaluation value E of each industrial accident that occurred at the construction site of each work site (step 910).

[0083] In order to prevent the occurrence of industrial accidents at construction sites, patrols of the construction site are sometimes conducted at designated times. Patrols are conducted by inspectors who travel around the construction site to check the equipment, work procedures, etc., and point out any points that need to be corrected. The inspectors may be, for example, executives or managers of the construction company.

[0084] By conducting such patrols, the patrolmen can predict possible future workplace accidents. For example, if they find equipment defects such as a missing floorboard or a missing lifeline, they can predict the occurrence of an accident involving a fall from the scaffold.

[0085] Therefore, by using the work accidents predicted based on the results of the patrol as the work accidents to be evaluated, it is possible to obtain the evaluation value E of the predicted work accidents, the evaluation value S of the work site, and the cumulative evaluation value V in the same manner as for the work accidents that have actually occurred. The patrolman can also present the evaluation value E of the predicted work accidents, the evaluation value S of the work site, and the cumulative evaluation value V to the staff of each work site and employees of the cooperating company as the evaluation results of the patrol.

[0086] However, since it is difficult to predict the location and type of injury and the number of days off work from the results of patrols, predetermined values ​​may be used as coefficients C2 and C3. The predetermined values ​​may be statistical values ​​of coefficients corresponding to past industrial accidents at each construction site. The statistical values ​​of coefficients may be the average, median, mode, etc.

[0087] By repeatedly calculating the evaluation values ​​E and S of actual work-related accidents at each work site and the evaluation values ​​E and S of predicted work-related accidents based on the results of patrols, the dangers at the construction site can be objectively recognized. As a result, the motivation of the work site staff and employees of the cooperating companies to make improvements increases, and recurrence prevention measures can be effectively implemented.

[0088] The occupational accidents to be evaluated are not limited to those occurring at construction sites, but may occur at other workplaces, such as factories that manufacture products, offices that perform clerical work, stores that sell goods, and places that provide services to customers.

[0089] Figure 10 shows an example of the transition of work-related accidents predicted based on the results of patrols. The horizontal axis represents time. Hereinafter, work-related accidents predicted based on the results of patrols may be simply referred to as predicted work-related accidents.

[0090] Curve 1001 represents the change over time in the cumulative evaluation value V of actually occurring work-related accidents. Curve 1011 represents the change over time in the incidence rate of actually occurring work-related accidents of type A, curve 1012 represents the change over time in the incidence rate of actually occurring work-related accidents of type B, and curve 1013 represents the change over time in the incidence rate of actually occurring work-related accidents of type C.

[0091] Triangle 1021 represents a type A work-related accident that actually occurred, triangle 1022 represents a type B work-related accident that actually occurred, and triangle 1023 represents a type C work-related accident that actually occurred.

[0092] Curve 1031 represents the change over time in the predicted incidence rate of work-related accidents of type A, curve 1032 represents the change over time in the predicted incidence rate of work-related accidents of type B, and curve 1033 represents the change over time in the predicted incidence rate of work-related accidents of type C. However, in contrast to curves 1011 to 1013, curves 1031 to 1033 represent a higher incidence rate as they go downward.

[0093] Triangle 1041 represents predicted type A work-related accidents, triangle 1042 represents predicted type B work-related accidents, and triangle 1043 represents predicted type C work-related accidents.

[0094] Arrow 1051 indicates the timing when recurrence prevention measures were implemented after a highly serious industrial accident occurred. Recurrence prevention measures include improvements such as notifications to worksites of branches or all branches, and improvements at individual worksites. Specifically, examples include the suspension of dangerous work, changing to safer construction methods, and the adoption of engineering management measures.

[0095] The arrow 1052 indicates the timing when the effectiveness of the recurrence prevention measures was confirmed by the quantification evaluation and the transition to sustainable safety management was made. As shown in Fig. 10, the scale and occurrence rate of work-related accidents can be reduced by strengthening the identification of actual work-related accidents by patrols.

[0096] The configurations of the work-related accident quantification evaluation device 101 in FIG. 1 and the work-related accident quantification evaluation device 301 in FIG. 3 are merely examples, and some of the components may be omitted or changed depending on the application or conditions of the work-related accident quantification evaluation device.

[0097] 2 and 9 are merely examples, and some of the processes may be omitted or changed depending on the configuration or conditions of the occupational accident quantification evaluation device. For example, in the occupational accident quantification evaluation process of FIG. 9, if the evaluation value S is not calculated, the process of step 908 can be omitted.

[0098] The coefficient information shown in Figures 4 to 7 is merely an example, and other formats of coefficient information may be used depending on the application or conditions of the occupational accident quantification evaluation device 301. The coefficients included in each piece of coefficient information are merely an example, and the value of each coefficient may be changed depending on the application or conditions of the occupational accident quantification evaluation device 301. The transition of the cumulative evaluation value V shown in Figure 8 is merely an example, and the transition of the cumulative evaluation value V changes depending on the calculation result of the evaluation value E. The transition of the predicted occupational accidents shown in Figure 10 is merely an example, and the transition of the predicted occupational accidents changes depending on the results of patrols.

[0099] The formulas (1) to (4) are merely examples, and the occupational accident quantification evaluation device 301 may calculate the evaluation value E using other calculation formulas.

[0100] Fig. 11 shows an example of the hardware configuration of an information processing device used as the occupational accident quantification evaluation device 101 in Fig. 1 and the occupational accident quantification evaluation device 301 in Fig. 3. The information processing device in Fig. 11 includes a CPU (Central Processing Unit) 1101, a 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.

[0101] 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 111 in FIG. 1 or the storage unit 315 in FIG.

[0102] 1 by executing a program using the memory 1102. The CPU 1101 (processor) also operates as the reception unit 311, the selection unit 312, and the calculation unit 313 in FIG. 3 by executing a program using the memory 1102.

[0103] 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 an occupational accident evaluation value E, a workplace evaluation value S, or a cumulative evaluation value V. The output device 1104 may operate as the output unit 114 in FIG. 1 or the output unit 314 in FIG. 3.

[0104] 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 an SSD (Solid State Drive). The information processing device can store programs and data in the auxiliary storage device 1105 and use them by loading them into the memory 1102. The auxiliary storage device 1105 may operate as the storage unit 111 in FIG. 1 or the storage unit 315 in FIG. 3.

[0105] The medium drive device 1106 drives the portable recording medium 1109 and accesses the recorded contents. 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.

[0106] Thus, 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.

[0107] The network connection device 1107 is a communication interface circuit that is connected to a communication network such as a WAN (Wide Area Network) or a LAN (Local Area Network) and performs data conversion associated with communication. The information processing device can receive programs and data from an external device via the network connection device 1107 and load them into the memory 1102 for use. The network connection device 1107 may operate as the output unit 114 in FIG. 1 or the output unit 314 in FIG. 3.

[0108] It is not necessary for the information processing device to include all of the components in Fig. 11, and some of the components may be omitted or changed depending on the purpose 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 or a communication network is not used, the medium drive device 1106 or the network connection device 1107 may be omitted.

[0109] Although the disclosed embodiments and their advantages have been described in detail, it will be appreciated that those skilled in the art may make various modifications, additions and omissions therein without departing from the scope of the invention as clearly set forth in the claims. [Explanation of symbols]

[0110] 101, 301 Industrial Accident Quantification Evaluation Device 111, 315 Storage section 112, 312 Selection section 113, 313 Calculation section 114, 314 Output section 311 Reception 321 First Coefficient Information 322 Second Coefficient Information 323 Third Coefficient Information 324 Fourth Coefficient Information 801, 811~813, 1001, 1011~1013, 1031~1033 curve 821~823, 1021~1023, 1041~1043 triangle 1051, 1052 Arrows 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 storage unit that stores a numerical value associated with each of a plurality of types of industrial accidents, a numerical value associated with each of a plurality of injury characteristics, a numerical value associated with each of a plurality of ranges of the number of days off work, and a numerical value associated with each of a plurality of safety management situations; a selection unit which selects a first numerical value corresponding to the type of the industrial accident to be evaluated from the numerical values ​​corresponding to each of the multiple types of the industrial accident, selects a second numerical value corresponding to the characteristics of the injury in the industrial accident to be evaluated from the numerical values ​​corresponding to each of the multiple characteristics of the injury, selects a third numerical value corresponding to the range to which the number of days off work for the industrial accident to be evaluated belongs from the numerical values ​​corresponding to each of the multiple ranges of the number of days off work, and selects a fourth numerical value corresponding to the status of safety management regarding the industrial accident to be evaluated from the numerical values ​​corresponding to each of the multiple safety management statuses; A calculation unit that calculates an evaluation value of the work-related accident of the evaluation target based on the first numerical value, the second numerical value, the third numerical value, and the fourth numerical value; an output unit that outputs the evaluation value; A work-related accident quantification evaluation device comprising:

2. 2. The apparatus for quantifying and evaluating a work-related accident according to claim 1, wherein each of the plurality of injury characteristics includes a location of the injury and a type of the injury.

3. 2. The apparatus for quantifying and evaluating industrial accidents according to claim 1, wherein each of the plurality of safety management situations represents a situation of a safety precaution obligation of a person involved or a situation of a cause of an accident.

4. 4. The occupational accident quantification evaluation device according to claim 1, wherein the occupational accident to be evaluated is an occupational accident predicted based on the results of a patrol of a workplace.

5. selecting a first numerical value corresponding to the type of the industrial accident to be evaluated from the numerical values ​​corresponding to each of the multiple types of industrial accidents; selecting a second numerical value corresponding to the characteristic of the injury in the work accident to be evaluated from the numerical values ​​corresponding to each of the plurality of injury characteristics; selecting a third numerical value corresponding to a range to which the number of days absent from work in the work accident to be evaluated belongs from among the numerical values ​​corresponding to each of the multiple ranges of the number of days absent from work; selecting a fourth numerical value corresponding to the safety management status regarding the industrial accident to be evaluated from the numerical values ​​corresponding to each of the plurality of safety management statuses; Calculating an evaluation value of the work-related accident to be evaluated based on the first numerical value, the second numerical value, the third numerical value, and the fourth numerical value; Outputting the evaluation value. A method for quantifying and evaluating industrial accidents, characterized in that the processing is carried out by a computer.

6. selecting a first numerical value corresponding to the type of the industrial accident to be evaluated from the numerical values ​​corresponding to each of the multiple types of industrial accidents; selecting a second numerical value corresponding to the characteristic of the injury in the work accident to be evaluated from the numerical values ​​corresponding to each of the plurality of injury characteristics; selecting a third numerical value corresponding to a range to which the number of days absent from work in the work accident to be evaluated belongs from among the numerical values ​​corresponding to each of the multiple ranges of the number of days absent from work; selecting a fourth numerical value corresponding to the safety management status regarding the industrial accident to be evaluated from the numerical values ​​corresponding to each of the plurality of safety management statuses; Calculating an evaluation value of the work-related accident to be evaluated based on the first numerical value, the second numerical value, the third numerical value, and the fourth numerical value; Outputting the evaluation value. A program for quantifying and evaluating industrial accidents that allows processing to be performed by a computer.

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