Information processing device and information processing method

Abstract

To provide a technique capable of distinguishing between near-miss events with a high risk leading to a serious accident and near-miss events with a low risk.SOLUTION: An information processing device disclosed herein includes: a storage device that stores near-miss data including an operation history of a work machine before and after a warning and received from the work machine that issues the warning when an event in which a worker other than an operator of the work machine approaches occurs; and a processor that reads out and processes the data stored in the storage device. The processor determines behavior of the work machine before and after the warning based on the operation history, estimates whether or not the operator recognizes the presence of the worker based on the behavior before and after the warning, and transmits a result of the estimation to an administrator terminal.SELECTED DRAWING: Figure 2A

Description

[Technical field]

[0001] The present disclosure relates to an information processing device and an information processing method. [Background technology]

[0002] At civil engineering construction sites, workers and heavy machinery are in close proximity to each other, and there is a higher risk of collision accidents between heavy machinery and workers compared to work in other industries. In response to this, in addition to methods to avoid collision accidents using the functions of heavy machinery, efforts are being made to improve safety awareness at the site through on-site safety education and safety measures.

[0003] In on-site safety education and safety measures, it is effective to identify on-site risks from near-miss incidents that have actually occurred on-site and take measures based on those. On the other hand, at civil engineering construction sites, workers and heavy machinery may come close to each other as part of normal work, so it is important to effectively extract near-miss incidents that require measures.

[0004] Patent Document 1 describes a technology for estimating the work status at a work site using video data, while Patent Document 2 describes a technology for classifying the approach state between a worker and heavy machinery based on sensor data. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2017-33047 A [Patent Document 2] JP 2022-186217 A Summary of the Invention [Problem to be solved by the invention]

[0006] At civil engineering construction sites, work in which workers and heavy machinery come into close proximity is routinely performed, and the important thing is not the work itself, but whether the worker and the operator of the heavy machinery are aware of each other's presence. However, while the techniques of Patent Documents 1 and 2 can determine the work content and work situation when a near-miss event occurs, it is difficult to detect whether the operator of the heavy machinery is aware of the presence of the worker. Therefore, the site manager cannot distinguish between near-miss events with a high risk of leading to a serious accident and near-miss events with a low risk.

[0007] Therefore, the present disclosure provides a technology capable of distinguishing between near-miss events that have a high risk of leading to a serious accident and near-miss events that have a low risk of leading to a serious accident. [Means for solving the problem]

[0008] In order to solve the above problems, the information processing device of the present disclosure includes a storage device that stores near-miss data received from a work machine that issues a warning when an event occurs in which a worker other than the work machine operator approaches, the near-miss data including an operation history of the work machine before and after the warning, and a processor that reads out and processes the data stored in the storage device, and the processor determines the behavior of the work machine before the warning and after the warning based on the operation history, estimates whether the operator is aware of the presence of the worker based on the behavior of the work machine before the warning and after the warning, and transmits the result of the estimation to an administrator terminal.

[0009] Further features related to the present disclosure will be apparent from the description of the present specification and the accompanying drawings. Also, the aspects of the present disclosure are achieved and realized by the elements and combinations of various elements and the following detailed description and the appended claims. The description of the present specification is merely exemplary and is not intended to limit the scope or application of the present disclosure in any way. Effect of the Invention

[0010] According to the technology disclosed herein, it is possible to distinguish between near-miss events that have a high risk of leading to a serious accident and near-miss events that have a low risk of leading to a serious accident. Problems, configurations, and effects other than those described above will become apparent from the description of the following embodiments. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing the configuration of a near-miss management system. [Figure 2A] 1 is a diagram illustrating a hardware configuration and a functional configuration of a near-miss management device. [Figure 2B] FIG. [Figure 3A] 13 is a diagram showing the display screen of the manager terminal when displaying statistical data of near-miss data for the entire construction site. FIG. [Figure 3B] 13 is a diagram showing a display screen of an administrator terminal when details of individual data of near-miss data are displayed. FIG. [Figure 4] FIG. 13 is a diagram showing a near-miss data table. [Figure 5A] FIG. 13 is a diagram showing a method for setting a risk level in the case of a site where the level of safety awareness is high. [Figure 5B] FIG. 13 is a diagram showing a method for setting a risk level in a workplace where the level of safety awareness is low. [Figure 6] 11 is a flowchart showing a process performed when near-miss data is received by the near-miss data receiving program. [Figure 7] 13 is a flowchart showing a process performed by the near-miss data presentation program in response to a near-miss data viewing request. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In all drawings for explaining the embodiments, components having the same functions are denoted by the same reference numerals, and repeated description thereof may be omitted.

[0013] [First embodiment] <Configuration of Near Miss Management System> 1 is a diagram showing the configuration of a near-miss management system 1 according to this embodiment. The near-miss management system 1 is composed of a near-miss management device 100 (information processing device), a manager terminal 200, and heavy equipment 110 (working machine) used at a construction site 150. At the construction site 150, there are multiple heavy equipment 110 and multiple workers 120. The heavy equipment 110 is operated by an operator (not shown). The manager terminal 200 is a computer terminal such as a general PC, smartphone, tablet, etc., and is operated by a site manager 130.

[0014] The heavy machinery 110 is configured to be connectable to the near-miss management device 100 via the network 101. The manager terminal 200 is configured to be connectable to the near-miss management device 100 via the network 101.

[0015] The heavy equipment 110 is configured to issue a warning to the operator when it detects an approach (near-miss event) to the worker 120 at the construction site 150. The heavy equipment 110 transmits information that the heavy equipment 110 can collect, such as operation data (operation history and machine state) before and after the approach detection, surrounding images (video data), and information on the placement of the detected surrounding worker 120, as data related to the near-miss event (near-miss data), to the near-miss management device 100. The near-miss management device 100 accumulates the near-miss data in a storage device and transmits the accumulated near-miss data to the manager terminal 200 to present it to the site manager 130. In this way, by presenting the near-miss data to the site manager 130, the site manager 130 can implement countermeasures and safety management, which can contribute to improving the safety of the construction site 150.

[0016] <Configuration of Near Miss Management Device> 2A is a diagram showing a hardware configuration and a functional configuration of the near-miss management device 100. The near-miss management device 100 includes a CPU 201 (processor), a communication I / F 202, a memory 204, a storage 205 (storage device), and an internal bus 203 connecting these. A general PC, a server, a cloud, or the like can be used as the near-miss management device 100. Note that while FIG. 2A shows the CPU 201 and the storage 205 mounted on the same device, the near-miss management device 100 may be realized using multiple devices, such as a DB server for the storage 205.

[0017] A near-miss data receiving program 211 and a near-miss data presenting program 212 are loaded in the memory 204. The CPU 201 executes the near-miss data receiving program 211 and the near-miss data presenting program 212 loaded in the memory 204. The communication I / F 202 is responsible for transmitting and receiving data to and from the heavy equipment 110 and the manager terminal 200.

[0018] The storage 205 stores a safety awareness level table 231 , video data 232 , an operation history / machine status 233 , and a near-miss data table 234 .

[0019] The safety awareness level table 231 holds a safety awareness level, which is an index showing the degree to which the operation and education are carried out with an awareness of safety at the construction site 150. In this embodiment, a case where the safety awareness level is set to "high" or "low" will be described as an example, but the safety awareness level may be set in three or more stages.

[0020] The safety awareness level can be set based on the number of checks made by the site manager 130 checking each item on a checklist related to safety management before starting construction at the construction site 150, for example. The check items include, for example, items related to the number of rules for safety management defined at the construction site 150, compliance with the rules, installation status of safety gates, and status of work automation. The near-miss management device 100 displays the checklist on the manager terminal 200 and accepts input of checks from the site manager 130. When the check is input, the manager terminal 200 transmits the check result to the near-miss management device 100. The near-miss management device 100 sets the safety awareness level based on the received check result and stores it in the safety awareness level table 231. The setting of the safety awareness level based on the check result of the checklist may be performed on the manager terminal 200 side.

[0021] The near-miss incident management device 100 can also reset the safety awareness level based on the frequency of warnings and operation restrictions from the heavy equipment 110 after construction has started at the construction site 150. In addition, the safety awareness level can be set in advance based on a viewpoint determined by the site manager 130, and the safety awareness level can be input from the manager terminal 200 and transmitted to the near-miss incident management device 100.

[0022] The video data 232 is data of video of the surroundings of the heavy equipment 110 captured by a camera mounted on the heavy equipment 110.

[0023] The operation history / machine status 233 stores the history of the actual operation of the heavy equipment 110 by the operator, and the history of the movement and status of the heavy equipment 110 resulting from the operation. As described later, the operation history / machine status 233 is used to estimate whether the operator was aware of the presence of the worker 120 in the vicinity.

[0024] The operation history / machine state 233 includes data such as, for example, the state of the lock lever detected by a lock lever state detection device 247 described later and transmitted from the heavy equipment 110, operation amounts such as a working implement operation amount, a traveling operation amount, and a swing operation amount indicating the operation of the heavy equipment 110 by the operator detected by an operation state detection device 248 and transmitted from the heavy equipment 110, pilot pressure output as the operation result, and the traveling speed, swing speed, and attitude appearing as the final machine state. The operation history / machine state 233 may also include operation amounts of the wiper operation, horn operation, and light operation that can be used to estimate the operator's recognition of the surrounding workers 120.

[0025] The near-miss data table 234 stores near-miss data. The near-miss data table 234 includes, as data items, an identifier of the near-miss data, the date and time of occurrence, the location of occurrence, the target machine, the situation at the time of warning, the behavior before warning, the behavior after warning, the time until operation resumes, and the risk level. Details of these data items will be described later.

[0026] The near-miss data receiving program 211 includes a near-miss data accumulation unit 221, a pre-warning behavior determination unit 222, and a post-warning behavior determination unit 223. When the near-miss data receiving program 211 receives near-miss data from the heavy equipment 110, it stores the corresponding data in the video data 232 in the storage 205, the operation history / machine status 233, and the near-miss data table 234. The near-miss data receiving program 211 updates the corresponding row in the near-miss data table 234 based on the processing results of the pre-warning behavior determination unit 222 and the post-warning behavior determination unit 223 which are based on the contents of the operation history / machine status 233.

[0027] The near-miss data presentation program 212 includes a risk level determination unit 224 and a screen display unit 225. The near-miss data presentation program 212 is executed when a near-miss data viewing request is received from the administrator terminal 200. When the near-miss data viewing request is received, the risk level determination unit 224 determines the risk level based on the contents of the near-miss data table 234, and updates the near-miss data table 234 based on the determined risk level. The risk level is determined using the pre-warning behavior that is the processing result of the pre-warning behavior determination unit 222, the post-warning behavior that is the processing result of the post-warning behavior determination unit 223, and the safety awareness level stored in the safety awareness level table 231. The method of determining the risk level will be described in detail later.

[0028] When the risk level is determined, the screen display unit 225 generates screen data based on a request from the site manager 130 and transmits it to the manager terminal 200. The screen data can be configured so that the priority of displaying near-miss data can be set according to the risk level.

[0029] <Heavy equipment configuration> 2B is a diagram showing the hardware configuration of the heavy equipment 110. The heavy equipment 110 includes a controller 241, an approach detection device 242, a warning device 243, a data recording device 244, a communication device 245, a lock lever state detection device 247, an operation state detection device 248, and an in-vehicle network 246 that connects these devices.

[0030] The controller 241 controls the operation and processing of each component of the heavy equipment 110. For example, when the heavy equipment 110 is a hydraulic excavator, the components are a boom, an arm, and a bucket as working devices, a rotating body, and a traveling body. The operations of each component are the rotational operation of the boom, the arm, and the bucket, the rotational operation of the rotating body, and the traveling operation of the traveling body. In the explanation of FIG. 2B, each component of the heavy equipment 110 may be explained as the subject of the operation or processing. The controller 241 may execute power reduction or start suppression, etc., when the approach detection device 242 detects the approach of the worker 120.

[0031] The approach detection device 242 is installed on the heavy equipment 110, and detects the approach of the worker 120 when the worker approaches the periphery of the heavy equipment 110. Examples of the approach detection device 242 include a photographing device such as a camera, LiDAR, etc. When the worker 120 is equipped with an RFID tag, an RFID tag detection device can be used as the approach detection device 242.

[0032] The warning device 243 issues a warning when the approach detection device 242 detects the approach of the worker 120 and the heavy machine 110, thereby notifying the operator of the heavy machine 110 and the approaching worker 120 of the danger. Examples of the warning device 243 include warning lights and warning sounds such as rotating lights, speakers, and sirens that can be recognized visually or audibly.

[0033] The data recording device 244 stores data such as the operation history / machine status 233 and video data 232 for a certain period of time for several seconds before and after the approach of the worker 120 and the heavy machine 110 is detected.

[0034] The communication device 245 periodically transmits the near-miss data accumulated in the data recording device 244 to the near-miss management device 100.

[0035] When the approach detection device 242 detects the approach of the worker 120, the warning device 243 issues a warning, and the controller 241 instructs the drive mechanism (not shown) of the heavy equipment 110 to reduce power, etc. At the same time, the data recording device 244 accumulates data such as the video data 232 and the operation history / machine status 233. The data recording device 244 records the near-miss data for a certain period of time, and then transmits the data to the near-miss management device 100 via the communication device 245.

[0036] The lock lever state detection device 247 is a sensor that detects the switching state of a lock lever that switches between a locked state that prohibits operation of the heavy machine 110 and an unlocked state that permits operation. The operation state detection device 248 is a sensor that detects the operation state of each component of the heavy machine 110. The operation state detection device 248 is, for example, a sensor that detects the operation state of an operation lever that operates each component, or a sensor that indirectly detects the operation state of the operation lever from the pilot pressure that changes as a result of operation of the operation lever. These sensors are connected to the in-vehicle network 246.

[0037] <Example of administrator terminal screen display> FIG. 3A is a diagram showing a screen 301 that displays statistical data of near-miss data for the entire construction site 150, which is displayed on the display of the manager terminal 200. As shown in FIG. 3A, the near-miss data display screen includes tabs for selecting whether the near-miss data to be displayed is statistical data or individual data. On the screen 301, the statistical data tab is selected. On the statistical data tab, a heat map of the locations where near-miss events occurred is displayed on a map (see the left side of FIG. 3A). In addition, the near-miss data can be filtered by risk level to display the heat map. Furthermore, the number of near-miss events for each risk level can be displayed in a graph such as a pie chart.

[0038] Fig. 3B is a diagram showing a screen 302 that displays details of individual data of near-miss data, which is displayed on the display of the administrator terminal 200. As shown in Fig. 3B, the individual data tab is selected on the screen 302. On the individual data tab, a list of near-miss events is displayed (see the left side of Fig. 3B). For a near-miss event selected on the list, near-miss data such as a map of the occurrence location, video of the site, operation history, machine status, and risk level are displayed. It is also possible to sort the list by risk level.

[0039] As described above, the near-miss data is displayed in association with the risk level on the manager terminal 200. This allows the site manager 130 to easily know near-miss events for which countermeasures and safety management have a high priority, and therefore allows the site manager 130 to effectively use the near-miss data for site management.

[0040] <Details of Near Miss Data Table> 4 is a diagram showing the near-miss data table 234. The near-miss data table 234 includes, as data items, an identifier 401, an occurrence date and time 402, an occurrence location 403, a target machine 404, a situation at the time of warning 405, a behavior before warning 406, a behavior after warning 407, a time until operation resumes 408, and a risk level 409. Of these data items, the identifier 401, the occurrence date and time 402, the occurrence location 403, the target machine 404, and the situation at the time of warning 405 are near-miss data received from the heavy equipment 110.

[0041] The identifier 401 is an identifier for uniquely identifying the near-miss data. The same identifier as the identifier 401 is also assigned to the video data 232 and the operation history / machine status data 233, so that these data can be associated with each other.

[0042] The occurrence date and time 402 indicates the date and time when the approach between the worker 120 and the heavy machinery 110 occurred. The occurrence location 403 indicates the location where the approach between the worker 120 and the heavy machinery 110 occurred. The occurrence location 403 can be indicated by, for example, latitude and longitude. The target machine 404 indicates the heavy machinery 110 in which the near-miss event occurred. For the target machine 404, a PIN number or other number that uniquely indicates the heavy machinery 110 is used.

[0043] The warning status 405 indicates the state of the heavy machinery 110 while a warning is being issued after a warning has been issued. In this embodiment, the warning status 405 is set to "continue work" or "stop."

[0044] The pre-warning behavior 406 indicates the behavior of the heavy equipment 110 before a warning. In this embodiment, the pre-warning behavior 406 is set to "heavy equipment stopped", "heavy equipment operation: careful operation", "heavy equipment operation: monotonous operation", or "heavy equipment operation: sudden operation". The pre-warning behavior 406 is determined by the pre-warning behavior determination unit 222 based on information of the operation history / machine state 233.

[0045] The post-warning behavior 407 indicates the behavior of the heavy equipment 110 after a warning. In this embodiment, the post-warning behavior 407 is set to “continue operation”, “pause operation: resume below threshold”, or “pause operation: stop above threshold”. The post-warning behavior 407 is determined by the post-warning behavior determination unit 223 based on the information of the operation history / machine state 233.

[0046] Time until operation resumes 408 indicates the time until operation of the heavy equipment 110 is resumed after a warning. Time until operation resumes 408 is determined by the post-warning behavior determination unit 223 based on information from the operation history / machine state 233. For example, the time taken for a series of steps from when the state of the lock lever changes to an unlocked state, to when it changes back to a locked state, and then until a pilot pressure for operating the heavy equipment is detected is determined as the time until operation resumes 408. Note that, in this embodiment, a case is described in which the pilot pressure is used to measure the time by the post-warning behavior determination unit 223, but the time until operation resumes 408 may be measured based on the actual amount of operation, the traveling speed, or the turning speed.

[0047] The risk level 409 indicates the risk level of the near-miss event. In this embodiment, the risk level is set in three stages: "low", "medium" and "high". The risk level 409 is determined by the risk level determination unit 224 based on the contents of the near-miss data table 234 and the safety awareness level stored in the safety awareness level table 231.

[0048] <How to determine risk level> The risk level is determined based on a combination of the pre-warning behavior 406 and the post-warning behavior 407 in the near-miss data table 234. The risk level determined for each combination differs depending on the safety awareness level.

[0049] 5A is a diagram showing a method for determining a risk level when the safety awareness level is set to "high" in the safety awareness level table 231. When the pre-warning behavior is "heavy equipment stopped" and the post-warning behavior is "operation continues," the risk level is determined to be "low" because the heavy equipment 110 remains stopped and the worker 120 approaches.

[0050] When the pre-warning behavior is "heavy equipment stopped" and the post-warning behavior is "operation paused: resumed below threshold" and "operation paused: stopped above threshold", the heavy equipment 110 starts moving even though the worker 120 is approaching the stopped heavy equipment 110. Therefore, since there is a possibility that the operator of the heavy equipment 110 operated the heavy equipment 110 without recognizing the presence of the worker 120, the risk level is determined to be "high".

[0051] If the behavior before the warning is "heavy equipment operation: sudden operation", it is highly likely that the operator did not recognize the approach of the worker 120, so the risk level is determined to be "high" or "medium". If the behavior after the warning is "continue operation" or "pause operation: resume below threshold", in a work site with a "high" safety awareness level, the operator continues operation or resumes operation immediately after stopping while taking safety into consideration, and it is highly likely that the operator is able to judge the situation as low risk, so the risk level is determined to be "medium". On the other hand, if the behavior after the warning is "pause operation: stop above threshold", it is considered that the operator should have carefully checked the safety of the surroundings, so the risk level is determined to be "high".

[0052] If the behavior before the warning is "heavy equipment operation: careful operation" or "heavy equipment operation: monotonous operation", it is highly likely that the operator is aware of the approach of the worker 120, and therefore the risk level is determined to be "low" or "medium". If the behavior after the warning is "continue operation" or "pause operation: resume below threshold", it is highly likely that the operator is able to judge the situation as low risk by continuing operation or resuming operation immediately after stopping while taking safety into consideration at a site with a "high" safety awareness level, and therefore the risk level is determined to be "low". On the other hand, if the behavior after the warning is "pause operation: stop above threshold", it is considered that the operator should have carefully checked the safety of the surroundings, and therefore the risk level is determined to be "medium".

[0053] 5B is a diagram showing a method for setting a risk level when "low" is set as the safety awareness level in the safety awareness level table 231. When the pre-warning behavior is "heavy equipment stopped" and the post-warning behavior is "operation continues", the risk level is determined to be "low" because the heavy equipment 110 remains stopped and the worker 120 approaches.

[0054] When the pre-warning behavior is "heavy equipment stopped" and the post-warning behavior is "operation temporarily suspended," the heavy equipment 110 starts moving even though the worker 120 is approaching the stopped heavy equipment 110. Therefore, since there is a possibility that the operator of the heavy equipment 110 operated the heavy equipment 110 without recognizing the presence of the worker 120, the risk level is determined to be "high."

[0055] If the behavior before the warning is "heavy equipment operation: sudden operation", it is highly likely that the operator is not aware of the approach of the worker 120, so the risk level is determined to be "high" or "medium". If the behavior after the warning is "continue operation" or "pause operation: resume below threshold", it is presumed that the operator continues operation or resumes operation immediately after stopping without considering safety at a work site with a "low" safety awareness level, so the risk level is determined to be "high". On the other hand, if the behavior after the warning is "pause operation: stop above threshold", it is presumed that the operator carefully checks for safety in the surroundings, so the risk level is determined to be "medium".

[0056] If the behavior before the warning is "heavy equipment operation: careful operation" or "heavy equipment operation: monotonous operation", the risk level is determined to be "low" or "medium" since it is highly likely that the operator is aware of the approach of the worker 120. If the behavior after the warning is "continue operation" or "pause operation: resume below threshold", it is presumed that the operator continues operation or resumes operation immediately after stopping without considering safety at a site with a "low" safety awareness level, and the risk level is determined to be "medium". On the other hand, if the behavior after the warning is "pause operation: stop above threshold", it is presumed that the operator carefully checks the safety of the surroundings, and the risk level is determined to be "low".

[0057] If the behavior before the warning is "Heavy machinery operation: monotonous operation" and the behavior after the warning is "Continue operation," the risk level is determined to be "Medium" since there is a possibility that the operator will ignore the warning and continue working. On the other hand, if the behavior before the warning is "Heavy machinery operation: monotonous operation" and the behavior after the warning is "Operation temporarily suspended: Stopped above threshold," the risk level is determined to be "Low" since it is considered that appropriate safety considerations have been taken, such as by checking the surrounding safety in response to the warning.

[0058] As described above, it is possible to estimate whether the operator of the heavy equipment 110 is aware of the presence of the worker 120 based on the combination of the pre-warning behavior 406 and the post-warning behavior 407 in the near-miss data table 234 and the safety awareness level. If it is estimated that the operator of the heavy equipment 110 is not aware of the presence of the worker 120, the risk level is determined to be high. If it is estimated that the operator of the heavy equipment 110 is aware of the presence of the worker 120, the risk level is determined to be low.

[0059] In the above description of FIGS. 3A and 3B, the near-miss data is associated with a risk level and displayed on the manager terminal 200. Alternatively, the near-miss data may be associated with whether the operator recognized the worker 120 and displayed on the manager terminal 200. This allows the site manager 130 to determine the risk level of each near-miss event corresponding to the displayed near-miss data. More specifically, the site manager 130 can determine the risk level of the near-miss event by referring to the near-miss data such as the video data and the location of the near-miss event, and the estimation result of whether the operator recognized the worker 120. When the site manager 130 determines the risk level in this way, the result may differ from the risk level determined in FIGS. 5A and 5B.

[0060] <Processing when near-miss data is received> 6 is a flowchart showing processing when near-miss data is received by the near-miss data reception program 211. This flow is executed every time the near-miss management device 100 receives near-miss data from the heavy equipment 110. When this flow is executed, the process proceeds to step 601.

[0061] In step 601, the near-miss data accumulation unit 221 stores the received near-miss data in the video data 232, operation history / machine status 233, and near-miss data table 234 of the storage 205. The near-miss data accumulation unit 221 sets a common identifier and stores the data so that related data can be extracted later.

[0062] In step 602, the pre-warning behavior determination unit 222 determines the warning situation and pre-warning behavior in the near-miss data table 234 based on the operation history / machine state 233. In order to extract the warning situation and pre-warning behavior, the pre-warning behavior determination unit 222 checks the pilot pressure in the operation history / machine state 233. If the pilot pressure has not been set for a certain period of time immediately before the occurrence of the warning, it is assumed that the heavy equipment 110 has not been operated, and the pre-warning behavior is determined to be "heavy equipment stopped", and the warning situation is determined to be "stopped". If the pilot pressure has been set for a certain period of time immediately before the occurrence of the warning, the magnitude of the pilot pressure is confirmed. If the magnitude of the pilot pressure is large, it is determined that the pre-warning behavior is "heavy equipment operation: sudden operation". If the change in the magnitude of the pilot pressure is small, it is determined that the pre-warning behavior is "heavy equipment operation: monotonous operation". If there is a change in the magnitude of the pilot pressure but the value itself is small, it is determined that the pre-warning behavior is "heavy equipment operation: careful operation". The pre-warning behavior determination unit 222 sets the result of the above determination in the corresponding location of the near-miss data table 234.

[0063] In step 603, the post-warning behavior determination unit 223 determines the post-warning behavior and the time until operation resumes in the near-miss data table 234 based on the operation history / machine state 233. In order to extract the post-warning behavior and the time until operation resumes, the post-warning behavior determination unit 223 checks the pilot pressure and the state of the lock lever in the operation history / machine state 233. If the state of the lock lever remains in the unlocked state that allows the operation of the heavy equipment 110 and does not change during a certain period of time after the warning, and pilot pressure continues to be applied, it is considered that the operation has continued, so the post-warning behavior is determined to be "operation continues" and "-" (blank) is set to the time until operation resumes. If the state of the lock lever changes during a certain period of time after the warning, the elapsed time from the warning is checked for the timing at which the values ​​change in the order of unlocked state → set to locked state again → pilot pressure. If the elapsed time from the warning is equal to or greater than the threshold, the post-warning behavior is determined to be "operation pause: equal to or greater than the threshold". If the elapsed time from the warning is less than the threshold, the post-warning behavior is determined to be "operation pause: resumed below the threshold". The post-warning behavior determination unit 223 sets the result of the above determination in the corresponding location of the near-miss data table 234.

[0064] <Processing when receiving a request to view near-miss data> 7 is a flowchart showing processing by the near-miss data presentation program 212 in response to a near-miss data viewing request from the manager terminal 200. This flow is executed when the manager terminal 200 receives an operation for viewing near-miss data from the site manager 130 and the near-miss management device 100 receives the near-miss data viewing request from the manager terminal 200.

[0065] In step 701 , the risk level determination unit 224 checks the pre-warning behavior 406 , the post-warning behavior 407 , and the time until resumption of operation 408 in the near-miss data table 234 .

[0066] In step 702, the risk level determination unit 224 checks the value of the safety awareness level table 231 and determines the risk level based on the classification of FIG. 5A or FIG. 5B.

[0067] In step 703 , the risk level determination unit 224 sets the value of the determined risk level in the corresponding location of the near-miss data table 234 .

[0068] In step 704 , the screen display unit 225 checks whether the site manager 130 is requesting to view statistical data or individual detailed data, generates screen data according to the request, and transmits it to the manager terminal 200 .

[0069] <Summary of the First Embodiment> As described above, the near-miss management device 100 of this embodiment includes a storage 205 (storage device) that stores near-miss data including the operation history and machine state 233 of the heavy equipment 110 before and after the warning, which is received from the heavy equipment 110 (work machine) that issues a warning when a near-miss event occurs in which the worker 120 approaches, and a CPU 201 (processor) that reads out and processes the data stored in the storage 205. The CPU 201 determines the behavior of the heavy equipment 110 before and after the warning based on the operation history and machine state 233, estimates whether the operator of the heavy equipment 110 recognizes the presence of the worker 120 based on the behavior of the heavy equipment 110 before and after the warning, and transmits the result of the estimation to the manager terminal 200.

[0070] Among the events (near-miss events) in which the heavy equipment 110 and the worker 120 come close to each other, an event in which it is estimated that the operator of the heavy equipment 110 does not recognize the presence of the worker 120 has a high possibility (risk) of leading to a serious accident. As described above, by estimating whether the operator of the heavy equipment 110 recognizes the presence of the worker 120 and transmitting the estimation result to the manager terminal 200, the site manager 130 can determine the level of risk of the near-miss event. In other words, the site manager 130 can distinguish between near-miss events with a high risk of leading to a serious accident and near-miss events with a low risk. This makes it possible to prioritize the implementation of countermeasures and safety education for near-miss events with a high risk, thereby making it possible to implement effective safety improvements at the site.

[0071] [Variations] The present disclosure is not limited to the above-described embodiments, and includes various modified examples. For example, the above-described embodiments have been described in detail to clearly explain the present disclosure, and it is not necessary to include all of the configurations described. In addition, a part of an embodiment can be replaced with a configuration of another embodiment. In addition, a configuration of another embodiment can be added to a configuration of an embodiment. In addition, a part of the configuration of each embodiment can be added to, deleted from, or replaced with a part of the configuration of another embodiment. [Explanation of symbols]

[0072] 1. Near-miss incident management system 100...Near miss management device (information processing device) 110…Heavy machinery (work machinery) 120…Worker 130...Site manager 150…Construction site 200: Administrator terminal

Claims

1. An information processing device, a storage device that stores near-miss data received from a work machine that issues a warning when an event occurs in which a worker other than the operator of the work machine approaches, the near-miss data including an operation history of the work machine before and after the warning; A processor that reads and processes the data stored in the storage device, The processor, determining a behavior of the work machine before the warning and a behavior of the work machine after the warning based on the operation history; Inferring whether or not the operator recognizes the presence of the worker based on the behavior of the work machine before the warning and the behavior of the work machine after the warning; The information processing device transmits a result of the estimation to an administrator terminal.

2. The processor further comprises: determining a risk level of the event based on the result of the estimation; The information processing apparatus according to claim 1 , further comprising: a controller configured to transmit the risk level to the administrator terminal.

3. The processor, determining that the risk level is high when it is estimated that the operator is not aware of the presence of the worker; The information processing device according to claim 2 , wherein the risk level is determined to be low when it is estimated that the operator is aware of the presence of the worker.

4. The storage device further comprises: storing a safety awareness level of a site where the work machine is used; The processor, The information processing device according to claim 2 , wherein the risk level is determined based on the safety awareness level and the behavior of the work machine before the warning and the behavior of the work machine after the warning.

5. The information processing apparatus according to claim 4 , wherein the safety awareness level is set based on a status of safety measures at the site inputted from the manager terminal.

6. The processor further comprises: The information processing device according to claim 4 , wherein the safety awareness level is updated based on the frequency of the warnings issued by the work machine at the work site.

7. The processor, 2. The information processing device according to claim 1, wherein the behavior after the warning is determined based on a time until unlocking and a time until operation of the work machine is resumed, the time being calculated based on a history of the state of a lock lever detected by a state detection device of a lock lever that locks and unlocks operations provided on the work machine, the history being recorded in the storage device as the operation history.

8. An information processing method executed by a processor of an information processing device reading and processing data stored in a storage device, comprising: The information processing method includes, by the processor: receiving near-miss data from a work machine which issues a warning when an event occurs in which a worker other than an operator of the work machine approaches, the near-miss data including an operation history of the work machine before and after the warning, and storing the near-miss data in the storage device; determining a behavior of the work machine before the warning and a behavior of the work machine after the warning based on the operation history; estimating whether or not an operator of the work machine has recognized the worker based on a behavior of the work machine before the warning and a behavior of the work machine after the warning; and transmitting a result of the estimation to an administrator terminal.

9. The processor: determining a risk level of the event based on a result of the estimation; and The information processing method according to claim 8 , further comprising: transmitting the risk level to the administrator terminal.

10. The processor, determining that the risk level is high when it is estimated that the operator is not aware of the presence of the worker; The information processing method according to claim 9 , wherein the risk level is determined to be low when it is estimated that the operator is aware of the presence of the worker.

11. The storage device further stores a safety awareness level of a work site where the work machine is used, The processor:

10. The information processing method of claim 9, further comprising determining the risk level based on the safety awareness level and pre-alarm and post-alarm behavior of the work machine.

12. The information processing method according to claim 11 , wherein the safety awareness level is set based on a status of a safety measure at the site inputted from the manager terminal.

13. The processor:

12. The method of claim 11, further comprising updating the safety awareness level based on a frequency of the warnings issued by the work machine at the site.

14. The processor, 9. The information processing method according to claim 8, further comprising determining the behavior after the warning based on the time until a lock lever that locks and unlocks an operation provided on the work machine is unlocked and the time until operation of the work machine is resumed.

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