Regulatory activity assessment and risk segment identification system

Abstract

The present application can quantitatively evaluate the activity level of supervisors according to the position data and voice data of the supervisors, and automatically identify risk sections. In addition, it also relates to a system for improving supervision reliability and improving the timeliness of construction site response by providing evaluation and identification information to the administrator terminal regularly.

Description

Technical Field

[0001] This invention relates to a system for assessing regulatory levels and identifying risk areas by analyzing the location and voice data of regulatory personnel. Background Technology

[0002] On-site supervision is a crucial procedure for ensuring construction quality and safety. Supervisors directly inspect the construction progress of each process and check for any problems. However, due to the increasing scale of the site, the complexity of the processes, and the limitations of supervisors, there are limitations to systematically managing their activities or identifying on-site risk factors in real time.

[0003] In the past, the primary method for managing the activities of regulatory personnel was through manual documentation in the form of logs or reports, or by using checklists based on inspection items. This led to difficulties in objectively assessing the actual level of activity by regulators or identifying areas of risk in advance.

[0004] Furthermore, whether regulatory personnel have inspected the site or checked locations often requires indirect confirmation from managers, or can only be reviewed afterward. Therefore, it is difficult to conduct real-time response or risk-based monitoring activities.

[0005] Existing technical documents Patent documents (Patent document 0001) Korean Patent Registration No. 10-2378997 (registered on March 22, 2022).

[0006] (Patent document 0002) Korean Patent Registration No. 10-2563138 (registered on July 31, 2023). Summary of the Invention

[0007] The present invention addresses the challenge of providing an automated regulatory reporting and notification technology. This technology quantifies and assesses the regulatory activity level of supervisors based on their location data and collects and analyzes their voice data in real time to identify repeatedly mentioned or frequently lingered road sections as high-risk sections. Furthermore, by periodically providing these assessment and identification results to administrator terminals, omissions or anomalies in regulatory activities can be detected early, improving the efficiency of on-site response.

[0008] According to one aspect of the present invention, a regulatory activity assessment and risk zone identification system for evaluating the activities of regulatory personnel and identifying risk zones at construction sites may include: a regulatory activity assessment module, which receives location data of regulatory personnel collected by a wearable sensor device, analyzes the activity status of the regulatory personnel based on the received information, and assesses the activity level of the regulatory personnel; a risk zone identification module, which receives voice data of regulatory personnel collected by a voice input device, converts it into text, and then analyzes it through natural language processing to identify risk zones in the process; a control unit, which links the regulatory activity assessment module and the risk zone identification module to perform overall control processing; a memory, which stores data generated in the regulatory activity assessment module and the risk zone identification module or data received through external devices; and a communication unit, which transmits and receives data with the wearable sensor device, the voice input device, and the administrator terminal.

[0009] Furthermore, the regulatory activity assessment module may include: a location tracking unit, which uses location data collected from wearable sensor devices worn by regulatory personnel to generate location movement information including the real-time location, movement distance, direction of movement between floors, and time spent in a specific area; an activity status analysis unit, which analyzes the activity status of regulatory personnel based on the information collected by the location tracking unit, including long-term inactivity, lack of movement, presence of unchecked areas, and interruption of regulatory activities; an activity assessment unit, which assesses the activity level of regulatory personnel based on the analysis results of the activity status analysis unit; and a regulatory activity notification unit, which transmits a regulatory activity assessment report, including the activity assessment results of regulatory personnel derived from the activity assessment unit and the activity status of regulatory personnel derived from the activity status analysis unit, to the administrator terminal.

[0010] Furthermore, the risk segment identification module may include: a voice conversion unit that receives voice data transmitted from the voice input device used by the supervisor and converts it into text; a text analysis unit that uses natural language processing technology to analyze a predefined keyword dictionary or sentence pattern from the converted text to extract problem segment information including process name, location information, problem keywords, and occurrence time; a segment analysis unit that analyzes the problem segment information extracted from the text analysis unit to identify risk segments with repeated or concentrated problems; and a risk segment notification unit that sends a risk segment report including the problem segment information and the risk segments to the administrator terminal.

[0011] Invention Effects According to one embodiment of the present invention, based on the location data and voice data of regulatory personnel, firstly, the level of regulatory activities can be quantitatively assessed, and secondly, the effectiveness of risk zones can be automatically identified.

[0012] Furthermore, according to one embodiment of the present invention, by periodically providing regulatory activity assessment and risk zone identification information to the administrator terminal, the transparency of regulatory activities and the timeliness of on-site response are increased. Attached Figure Description

[0013] Figure 1 This is a block diagram of a regulatory activity assessment and risk zone identification system according to an embodiment of the present invention.

[0014] Figure 2 It is shown Figure 1 The diagram shows the interconnection between the system, wearable sensor devices, voice input devices, and administrator terminals.

[0015] Figure 3 yes Figure 1 The flowchart of the regulatory activity assessment module in the system.

[0016] Figure 4 yes Figure 1 The flowchart shows the risk segment identification process of the risk segment identification module in the system.

[0017] In the picture: 1: Wearable sensor device; 2: Voice input device; 3: Administrator terminal; 1000: Regulatory activity assessment and risk zone identification system; 100: Regulatory activity assessment module; 200: Risk zone identification module; 300: Control unit; 400: Memory; 500: Communication unit; 110: Location tracking unit; 120: Activity status analysis unit; 130: Activity assessment unit; 140: Regulatory activity notification unit; 210: Voice conversion unit; 220: Text analysis unit; 230: Interval analysis unit; 240: Risk zone notification unit. Detailed Implementation

[0018] In the following embodiments, the suffixes "module" and "part" used for components are provided or used interchangeably only for the convenience of writing the specification, and do not have different meanings or functions in themselves.

[0019] In the following embodiments, unless the context clearly indicates otherwise, singular expressions also include plural expressions.

[0020] In the following embodiments, terms such as "including" or "having" indicate the presence of features or components described in the specification, and the possibility of adding one or more other features or components is not excluded in advance.

[0021] If a particular embodiment can be implemented in different ways, the specific order of execution of the processes may differ from the order described. For example, two processes described sequentially may be performed substantially simultaneously, or they may be performed in the reverse order.

[0022] In the following embodiments, when components are connected, this includes not only the case where components are directly connected, but also the case where components are inserted and indirectly connected.

[0023] For example, when referring to electrical connections of components in this specification, it includes not only cases where components are directly electrically connected, but also cases where components are inserted and indirectly electrically connected.

[0024] The following will refer to Figures 1 to 4 This invention describes a system for assessing regulatory activities and identifying risk zones according to an embodiment of the present invention.

[0025] (1) Regulatory activity assessment and risk zone identification system Figure 1 This is a block diagram illustrating the overall structure of a regulatory activity assessment and risk zone identification system 1000 (hereinafter referred to as the system) according to an embodiment of the present invention. The system 1000 can perform functions such as real-time analysis of the on-site activities of regulatory personnel, identification of risk factors within the construction site, and transmission of the results to an administrator terminal.

[0026] System 1000 includes a regulatory activity assessment module 100, a risk zone identification module 200, a control unit 300, a memory unit 400, and a communication unit 500.

[0027] The Regulatory Activity Assessment Module 100 assesses the activities of regulatory personnel; details will be provided later.

[0028] The risk section identification module 200 is used to identify risk sections during the process, and related details will be explained later.

[0029] The control unit 300 can work in conjunction with the regulatory activity assessment module 100 and the risk segment identification module 200 to execute overall control actions. Unless otherwise expressly stated in this specification, all event processing and control in the regulatory activity assessment module 100 and the risk segment identification module 200 are executed in the control unit 300.

[0030] The memory 400 is a device for storing data generated or collected by the regulatory activity assessment module 100, the risk segment identification module 200, and the control unit 300. The memory 400 can temporarily or permanently store various intermediate processing data, analysis results, report information, etc. that occur within the system 1000.

[0031] The Communications Division 500 is responsible for communication with wearable sensor devices (see...). Figure 2 Symbol 1), voice input device (see symbol 1) Figure 2 Symbol 2 in the text), administrator terminal (see...) Figure 2 The components for sending and receiving data from external devices, such as symbol 3 in the diagram, are as follows. The communication unit 500 can provide a communication interface for external links to the system 1000.

[0032] (2) Interconnection between wearable sensor devices, voice input devices, administrator terminals and the system Figure 2 It is shown Figure 1 The diagram shows the interconnection between System 1000, the wearable sensor device 1 and voice input device 2 used by supervisors, and the administrator terminal 3 held by the administrator who monitors the progress and status of the construction site.

[0033] The wearable sensor device 1 worn by the supervisor is used to collect the supervisor's location data in real time and can be responsible for generating input data for the system 1000.

[0034] Wearable sensor device 1 can typically be attached to wearable accessories, such as a supervisor's belt, vest, or helmet, and can include sensors and communication functions, such as a GPS module, beacon receiver, magnetic sensor, accelerometer, or wireless data transmission module.

[0035] The location data generated by the wearable sensor device 1 can be transmitted to the location tracking unit 110 of the regulatory activity assessment module 100 and used for activity analysis, such as movement distance, dwell time, and whether there are unchecked areas.

[0036] The transmitted location data can consist of supervisor IDs and visual information.

[0037] The voice input device 2 is a device used to collect real-time reports from supervisors on the scene, and is configured separately from the wearable sensor device 1.

[0038] The voice input device 2 can be configured as a walkie-talkie or a standalone communication device with voice input functionality.

[0039] Supervisory personnel can report the specific construction status or problems on site via voice input device 2. This voice data can be transmitted to the risk section identification module 200 of system 1000.

[0040] The transmitted voice data can be structured into the supervisor's ID, speaking time, and speaking location.

[0041] The location data and voice data of the supervisors can be transmitted to the system 1000 from the wearable sensor device 1 and the voice input device 2 respectively via a wireless communication network.

[0042] Location data is input into the location tracking unit 110 of the regulatory activity assessment module 100, and can then be output as a regulatory activity assessment report via the activity status analysis unit 120 and the activity assessment unit 130 through the regulatory activity notification unit 140. The specific process related to this will be explained later in “(3) Regulatory Activity Assessment Flowchart of Regulatory Activity Assessment Module 100”.

[0043] The voice data is processed by the voice transformation unit 210 and the text analysis unit 220 in the risk segment identification module 200, and the problem keywords are associated with the location information by the segment analysis unit 230 and the risk segment notification unit 240 to output a risk segment report. The specific process related to this will be explained later in '(4) Risk segment identification flowchart of risk segment identification module 200'.

[0044] Administrator terminal 3 is connected to system 1000 and is used to monitor and manage the results of the activities of supervisory personnel and on-site risk information. It is the terminal used by the administrator who fulfills the overall management responsibility for supervisory activities.

[0045] In addition, the administrator using the administrator terminal 3 is a person with the authority to supervise the activities of on-site supervisors, confirm the supervision results and take action, and plays a role in checking and judging the work performance of supervisors and the occurrence of risk areas in real time or periodically.

[0046] The preset values ​​such as "preset time," "preset distance," and "preset number of times" used in the following embodiments are reference values ​​set by the administrator or administrator terminal 3. These values ​​may vary depending on factors such as site size, regulatory standards, and process characteristics. These reference values ​​are directly set in the administrator terminal 3 and stored in the system memory 400, thus serving as the judgment criteria for relevant modules.

[0047] The regulatory activity assessment report generated by the regulatory assessment module 100 and the risk segment report generated by the risk segment identification module 200 can be transmitted to the administrator terminal 3 respectively.

[0048] The regulatory activity assessment report is a comprehensive evaluation of the regulator's activity level based on the regulator's activity history, inspection scope, and activity status. It can be transmitted to the administrator terminal 3 along with information such as the regulator's identity information (ID), the assessment target period, a summary of the activity status analysis results, the number of abnormal activities, the activity level, and details of the level calculation standards.

[0049] The risk zone report automatically identifies locations with a high number of problematic keywords and risk signs by analyzing data from voice reports by regulatory personnel. It then transmits information such as the location of the identified risk zone, a list of problematic keywords in that area, the time and frequency of keyword occurrences, the duration of regulatory personnel's stay, whether the same keyword appears repeatedly, and a visualized risk zone map to the administrator terminal 3.

[0050] (3) Flowchart of the regulatory activity assessment in module 100 Figure 3 This is a flowchart illustrating the process by which the regulatory activity assessment module 100 assesses the activities of regulatory personnel based on data collected by the wearable sensor device 1 worn by the personnel, and sends a regulatory activity assessment report to the administrator terminal 3. The regulatory personnel activity assessment module 100 can quantitatively assess the activity level of regulatory personnel based on the location data collected from the wearable sensor device 1.

[0051] The supervisory personnel activity assessment module 100 can be configured as a series of processing structures to sequentially process location and motion data received from the wearable sensor device 1 to assess the activity status of supervisory personnel and transmit the results to the manager. The supervisory activity assessment module 100 includes a location tracking unit 110, an activity status analysis unit 120, an activity assessment unit 130, and a supervisory activity notification unit 140.

[0052] Wearable sensor device 1 collects location data of regulatory personnel and transmits it to the regulatory activity assessment module. Since the specific details of the wearable sensor device have already been described above, they will not be repeated here.

[0053] The location tracking unit 110 can receive location data of the supervisors transmitted via the wearable sensor device 1. Furthermore, the location tracking unit 110 can generate location movement information of the supervisors based on the received location data, including the supervisor's real-time location, movement distance, direction of movement between floors, and dwell time within a specific area. This location movement information can be organized and stored as supervisor ID, location coordinates, direction of movement, dwell time, etc., for subsequent analysis and processing.

[0054] The activity status analysis unit 120 analyzes the supervisory activity status of the supervisory personnel based on the location movement information generated by the location tracking unit 110, and can determine whether the supervisory activity status is abnormal. More specifically, the activity status analysis unit 120 can determine that the monitored activity status is an abnormal activity status when at least one of the following conditions is met.

[0055] (a) When the location information of the supervisor does not deviate from the preset range within the preset time range, it is judged as a long-term stop state.

[0056] (b) When the total distance traveled by the supervisor within a certain period of time (e.g., 1 hour) is less than the standard distance, the condition for judging a lack of movement is met.

[0057] (c) When the location record of the supervisory personnel on a specific floor or section does not exist within a preset time, it is determined that there is an uninspected section.

[0058] (d) When the frequency of movement of regulatory personnel decreases sharply or is interrupted during a specific time period (e.g., from 12:00 to 14:00), it is considered a condition for the interruption of regulatory activities.

[0059] The analysis results can be organized by time zone, floor, work process, etc.

[0060] The Activity Evaluation Department 130 can assess the activity level of supervisors by summarizing the analysis results of the Activity Status Analysis Department 120.

[0061] For example, if an abnormal activity occurs once within a daily assessment cycle, the activity level can be rated as Grade A; if it occurs three times, it can be rated as Grade B; and if it occurs five or more times, it can be rated as Grade C.

[0062] The aforementioned level is an indicator that comprehensively reflects the amount of activity, the distribution of stay, and whether there are any missed detections based on location movement information. It can be used as a standard for administrators or supervisors to judge the reliability of supervisors' activities.

[0063] Activity ratings can be visualized in the form of ratings, warning color indicators (such as green, yellow, red, etc.), or letter grades (A / B / C), and can be included in the regulatory activity assessment report, which will be discussed later.

[0064] The regulatory activity notification unit 140 can generate a regulatory activity evaluation report and transmit it to the administrator terminal 3. The evaluation report includes the regulatory activity evaluation results generated by the activity evaluation unit 130 and the activity status of the regulatory personnel obtained by the activity status analysis unit 120.

[0065] The report may include: the supervisor's ID, the supervisor's department, the supervisor's performance level, a summary of anomaly assessments, the time of the anomaly assessment, and the number of anomaly assessment types.

[0066] The report can be automatically generated and sent to the administrator terminal 3 at preset time intervals (e.g., 6 p.m. every day or 6 p.m. on the second Friday of every month), and can be provided to the administrator terminal 3 in the form of a visual dashboard or a PDF document.

[0067] In addition, if the preset warning criteria are met (e.g., three consecutive days of Level C or below), a separate warning notification can be sent to the administrator.

[0068] In this way, the regulatory activity assessment module 100 can quantitatively assess the actual activities of regulatory personnel based on the location data received from the wearable sensor device 1, score the results, and report them to the administrator periodically through the administrator terminal 3. This improves the reliability of the supervision work and the efficiency of on-site management.

[0069] (4) Flowchart of the risk section identification process of the risk section identification module 200 Figure 4 The flowchart shows the process by which the risk zone identification module 200 identifies risk zones on-site based on data collected by the voice input device 2 used by supervisors and transmits it to the administrator terminal 3.

[0070] The risk zone identification module 200 can be configured as a series of processing structures to sequentially process the voice data received from the voice input device 2 to identify risk zones at the construction site and convey the identification results to management personnel. The risk zone identification module 200 includes a voice conversion unit 210, a text analysis unit 220, a zone analysis unit 230, and a risk zone notification unit 240.

[0071] Voice input device 2 collects voice data containing the supervisor's judgments on the construction site and transmits it to risk zone identification module 200. Details of voice input device 2 have already been described above and will not be repeated here.

[0072] The voice conversion unit 210 can receive voice data sent from the voice input device 2 being used by the supervisor and convert it into text data using speech recognition (STT) technology.

[0073] More specifically, the voice conversion unit 210 can receive voice monitoring messages reported by on-site supervisors through the voice input device, such as "cracks appeared during the pouring of the second-floor slab" and "poor ventilation in the underground parking lot has been confirmed," and convert them into text format.

[0074] The transformed text can be structured and integrated with visual information (speech time), speaker information (supervisor ID), and location information (supervisor location data identified via the supervisor's wearable sensor device 1). Figure 4 (The illustration is omitted.) Store them together.

[0075] The text analysis unit 220 can extract problem information from the sentence by applying natural language processing technology to the text transformed by the speech transformation unit 210, such as process name, location information, problem keywords and occurrence time.

[0076] Problem section information refers to the information of specific sections where supervisors identify or determine abnormal signs or problem elements at the construction site. It can refer to data such as the process name, location information (e.g., floor, area), problem keywords, and time of occurrence of the section.

[0077] More specifically, from the text 'Cracks appeared during the pouring of slab in Area A on the 2nd floor', the following problem information can be extracted: "Process name: Slab pouring", "Location information: Area A on the 2nd floor", "Problem keywords: cracks", and "Occurrence time: 00 / 00 / 0000:00".

[0078] The analysis method can be applied by combining at least one extraction method based on a predefined keyword dictionary and an analysis method based on sentence patterns.

[0079] The extracted problem segment information can be marked according to keyword type, importance, frequency of occurrence, etc., and used in the chapter analysis section 230.

[0080] The interval analysis unit 230 can analyze the problem interval information extracted from the text analysis unit 220 to identify risk segments where problems are repeated or concentrated.

[0081] More specifically, a “risk zone” may apply when at least one of the following conditions is met.

[0082] (a) When the same keyword appears repeatedly in the same position more than a preset number of times (b) When multiple keywords appear consecutively in the same area within a preset time period Risk zones can be visually represented on a map using area codes or locations, and the occurrence time, problem keywords, and reporter information (regulatory personnel ID) can be stored together.

[0083] The risk segment notification unit 240 can generate a risk segment report based on the risk segment information identified by the segment analysis unit 230 and transmit it to the administrator terminal.

[0084] More specifically, the risk segment report can include information such as the identified risk segment, the time of occurrence, the frequency of occurrence, the location information, and the reporter information, and can be displayed on the administrator terminal 3 in the form of a list, risk chart, or visual information matching a map.

[0085] Risk zone reports can be automatically generated and sent to administrator terminal 3 at preset time intervals (e.g., 6 p.m. every day or 6 p.m. on the second Friday of each month), and can be provided to administrator terminal 3 in the form of a visual dashboard or a PDF document.

[0086] Additionally, if preset risk criteria are met (e.g., the same keyword appears three or more times in the same location), a separate warning notification can be sent to the administrator.

[0087] In this way, the risk zone identification module 200 can automatically analyze the content of the supervisor's voice report and provide information to proactively identify on-site risk points based on the data. This can supplement the supervisor's problem identification capabilities and support the on-site manager's risk response.

[0088] (5) Selective structure of regulatory activity assessment and risk area identification system The system 1000 for assessing regulatory activities and identifying risk zones according to an embodiment of the present invention may further include a biosignal sensor (not shown), a regulatory security response unit (not shown), a regulatory quality assessment unit (not shown), and a blockchain record unit (not shown).

[0089] To simultaneously consider the physical condition of regulatory personnel and the on-site risk environment, a biosignal sensor can be added to the wearable sensor device 1 of the regulatory personnel to measure data such as the regulatory personnel's heart rate, skin temperature, and acceleration.

[0090] The regulatory personnel safety response unit can comprehensively analyze the physical condition information of the regulatory personnel detected by the biosignal sensor and the risk segment identification results analyzed by the risk segment identification module, and automatically suggest response measures to the administrator terminal 3.

[0091] If at least one of the following conditions is met, the regulatory personnel's safety response department may send an early warning notification of on-site response to the administrator terminal 3.

[0092] (a) If the location movement information of the supervisor indicates that the person has remained stationary in the same area for a period of time, and the biosignal sensors detect sudden changes in heart rate, skin temperature, etc. (b) If the supervisor is located in an area deemed a risk zone and biosignal sensors detect sudden changes in heart rate, skin temperature, etc. For example, if a supervisor remains stationary in the electrical room on the second floor for more than 30 minutes and their skin temperature rises rapidly, the supervisor's safety response department can generate messages such as "Risk detection: Supervisor A has stayed in the electrical room on the second floor and an abnormal biosignal has been detected" and "Response notification: On-site inspection required," and transmit them to the administrator terminal 3.

[0093] Biosignal sensors and the biosignal risk detection and field response notification functions of the regulatory personnel safety response unit can comprehensively assess the status of regulatory personnel and on-site risk indicators in real time, and prompt managers to take appropriate measures immediately, thereby helping to prevent on-site accidents and improve safety management efficiency.

[0094] The Regulatory Quality Assessment Department assesses the quality of supervision based on the voice data received by the regulatory personnel from the voice input device 2, and stores the assessment results in a blockchain record to quantify the reliability of the regulatory personnel's reports.

[0095] The Regulatory Quality Assessment Department extracts information on problematic processes, such as process names, location information, problem keywords, and occurrence time, from the text analysis department 220 of the risk identification module 200 of System 1000. This information is then used to analyze the reports submitted by regulatory personnel. The department can assess the regulatory quality level of the personnel in terms of information organization, initiative, and accuracy.

[0096] For example, a regulatory quality assessment system may include the following assessment indicators.

[0097] (a) Information Composition Diagram: Assess whether the text reported by regulatory personnel includes the process name, problem keywords, location information, and time of occurrence, and assign different scores based on the number of missing items. (b) Proactiveness: Evaluation is based on a comprehensive consideration of the quantity and timeliness of reports submitted per unit of time. Bonus points are awarded for reports submitted within the specified time. (c) Accuracy: Assess by considering whether reports from multiple regulators at the same process / location are consistent.

[0098] The results of the regulatory quality assessment are stored together with the regulator ID and can be displayed on the administrator terminal 3 according to the regulator's assessment cycle (e.g., weekly).

[0099] The resulting quality assessment results and related raw data can be stored through a blockchain record department.

[0100] The blockchain record department can store the results of regulatory quality assessments, the version of the keyword dictionary used, the original report, the assessment time, etc., in the form of blocks based on timestamps, thereby preventing the quality assessment information from being manipulated later.

[0101] While the foregoing has focused on embodiments, these are merely examples and do not limit the invention. Those skilled in the art will understand that various modifications and applications not illustrated above can be made without departing from the essential characteristics of these embodiments. That is, all components specifically shown in the embodiments can be modified and implemented. Furthermore, differences related to these modifications and applications should be understood to be included within the scope of the invention as defined in the appended claims.

Claims

1. A regulatory activity assessment and risk zone identification system, comprising an assessment system for regulatory personnel activities and an identification system for risk zones at construction sites. The regulatory activity assessment and risk zone identification system includes: The regulatory activity assessment module receives location data of regulatory personnel collected through wearable sensor devices, analyzes the activity status of regulatory personnel based on the received information, and assesses the activity level of regulatory personnel. The risk zone identification module receives voice data from supervisors collected via a voice input device, converts it into text, and then analyzes it through natural language processing to identify risk zones in the process. The control unit links the regulatory activity assessment module and the risk zone identification module to execute the overall control action. A memory for storing data generated within the regulatory activity assessment module and the risk zone identification module, or data received via an external device; as well as The communication unit transmits and receives data with the wearable sensor device, voice input device, and administrator terminal. The regulatory activity assessment module includes: The location tracking department uses location data collected from wearable sensor devices worn by supervisors to generate location movement information, including the supervisors' real-time location, distance traveled, direction of movement between floors, and time spent in specific areas. The activity status analysis unit is used to analyze the activity status of supervisory personnel based on the information collected by the location tracking unit, including long-term inactivity, lack of movement, presence of unchecked areas, and interruption of supervisory activities. The Activity Evaluation Department, based on the analysis results from the Activity Status Analysis Department, assesses the activity level of supervisory personnel; and The Regulatory Activity Notification Department transmits a regulatory activity evaluation report, including the activity evaluation results of regulatory personnel exported from the Activity Evaluation Department and the activity status of regulatory personnel exported from the Activity Status Analysis Department, to the administrator terminal. The risk zone identification module includes: The voice conversion unit receives voice data transmitted from the voice input device used by the supervisor and converts it into text; The text analysis department uses natural language processing technology to analyze a predefined keyword dictionary or sentence structure from the transformed text, and extracts information on problem sections, including process names, location information, problem keywords, and occurrence time. The segment analysis unit analyzes the problem segment information extracted from the text analysis unit to identify risk segments where problems are repeated or concentrated; and The Risk Segment Notification Department will send a Risk Segment Report, including information on the problematic segment and the risk segment, to the administrator terminal.

2. The regulatory activity assessment and risk zone identification system according to claim 1, wherein, When the location movement information of the supervisory personnel meets at least one of the conditions for judging supervisory activities, the activity status analysis unit determines that the supervisory personnel's activity status is an abnormal activity status. The criteria for judging the regulatory activities include: (a) When the location information of the supervisory personnel does not deviate from the preset time within the preset time range, it is judged as a condition for long-term stagnation; (b) When the total distance traveled by the supervisor within a certain period of time is less than the standard distance, it is judged as insufficient movement; (c) When the location records of supervisors on a specific floor or in a specific section do not exist for more than a preset time, it is determined that an uninspected section exists; and (d) When the frequency of movement of regulatory personnel decreases significantly or is interrupted within a specific time period, it is considered a condition for the interruption of regulatory activities.

3. The regulatory activity assessment and risk zone identification system according to claim 2, wherein, If, within a preset unit period, the activity evaluation department determines that the activity status of the supervisor is abnormal more than a preset standard value the number of times it is judged as such by the activity status analysis department, then the activity level of the supervisor is rated according to the preset standard.

4. The regulatory activity assessment and risk zone identification system according to claim 1, wherein, The interval analysis unit identifies a risk segment as a risk segment when it performs mutual analysis between the problem information extracted from the text analysis unit and the location movement information collected from the location tracking unit, and the analysis satisfies at least one of the following risk segment conditions. The risk zone conditions include: (a) When the same keyword appears repeatedly in the same position more than a preset number of times; and (b) Evaluate the situation where multiple problematic keywords appear consecutively in the same area within a preset time period.

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