Power plant personnel position dynamic monitoring and early warning method and system based on BIM

Abstract

The invention discloses a BIM-based power plant personnel position dynamic monitoring and early warning method and system, and relates to the related field of power plant safety alarm, and the method comprises the steps: constructing the approaching monitoring demands of unauthorized personnel and the entering safety monitoring demands of authorized personnel corresponding to a plurality of risk regions for a target power plant, and carrying out the BIM modeling marking, constructing a power plant BIM model; zero-trust personnel monitoring is carried out through personnel positioning equipment, and first temporary risk personnel corresponding to the first risk area are determined in combination with approaching monitoring requirements; verifying whether authorization exists or not; if the verification is passed, carrying out risk protection behavior detection; if the verification is not passed, reading the to-be-executed task, and connecting a historical personnel behavior monitoring log library to carry out abnormal detection on a personnel track; and performing abnormity early warning according to the first risk protection abnormal value or the second risk protection abnormal value. The technical problem that existing position monitoring is insufficient in monitoring and early warning capacity is solved, and the technical effect of improving the monitoring and early warning capacity is achieved.

Description

Technical Field

[0001] This application relates to the field of power plant safety alarms, and particularly to a method and system for dynamic monitoring and early warning of the positions of power plant personnel based on BIM. Background Art

[0002] As a key infrastructure, the dynamic monitoring of the positions of power plant personnel is of great significance for ensuring the safe operation of power plants and preventing safety accidents. At present, the main method to solve this problem is to rely on traditional manual inspections and fixed safety monitoring equipment to monitor the positions of power plant personnel. This method has limitations such as limited monitoring range, slow response speed, and inability to verify the authorization status of personnel in real time, resulting in risks such as monitoring blind spots, untimely early warnings, and difficulty in effectively dealing with the intrusion of unauthorized personnel.

[0003] In the current related technologies, due to monitoring blind spots, untimely early warnings, and difficulty in effectively dealing with the intrusion of unauthorized personnel in the monitoring of the positions of power plant personnel, there are technical problems with insufficient monitoring and early warning capabilities. Summary of the Invention

[0004] This application provides a method and system for dynamic monitoring and early warning of the positions of power plant personnel based on BIM. For power plants, BIM modeling is carried out according to the different requirements of risk areas, safety monitoring points for unauthorized approach and authorized entry are marked, personnel positioning devices are used to monitor the risk areas in real time, risk personnel (first temporary risk personnel) approaching are identified, authorization verification is performed on the identified risk personnel. If the verification is passed, risk protection behavior detection is carried out to generate a first risk protection outlier. If the verification fails, combined with historical behavior logs, trajectory anomaly detection is carried out to generate a second risk protection outlier. According to the generated risk protection outliers, abnormal early warnings of personnel positions are carried out and other technical means, solving the problems of monitoring blind spots, untimely early warnings, and difficulty in effectively dealing with the intrusion of unauthorized personnel, and achieving the technical effect of improving the monitoring and early warning capabilities of power plants.

[0005] The present application provides a method for dynamically monitoring and warning the positions of power plant personnel based on BIM, including: for a target power plant, constructing the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas, and performing BIM modeling and marking to construct a power plant BIM model; performing zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and combining the proximity monitoring requirements marked in the power plant BIM model to determine the first temporarily risky personnel corresponding to the first risk area; verifying whether the first temporarily risky personnel are authorized or not; if the verification is passed, performing risk protection behavior detection on the first temporarily risky personnel based on the entry safety monitoring requirements to generate a first risk protection anomaly value; if the verification fails, reading the to-be-executed tasks of the first temporarily risky personnel, and connecting to the historical personnel behavior monitoring log library of the target power plant to perform anomaly detection of the personnel trajectory to generate a second risk protection anomaly value; using the first risk protection anomaly value or the second risk protection anomaly value to perform anomaly warning of the personnel position.

[0006] In a possible implementation manner, performing zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and combining the proximity monitoring requirements marked in the power plant BIM model to determine the first temporarily risky personnel corresponding to the first risk area, perform the following processing: obtaining the real-time positions of each staff member in the target power plant through the personnel positioning device; displaying the real-time positions of each staff member in the power plant BIM model, and based on the proximity monitoring requirements of unauthorized personnel in the multiple risk areas marked in the power plant BIM model, determining the mapping relationship between the area where the proximity monitoring requirements are triggered and the staff members; based on the mapping relationship, determining the first risk area and the first temporarily risky personnel.

[0007] In a possible implementation manner, perform the following processing: the personnel positioning device includes an RFID positioning module and a UWB positioning module, wherein the RFID positioning module includes RFID readers arranged in the target power plant and RFID tags worn by staff members entering the target power plant, and the UWB positioning module includes UWB base stations arranged in the target power plant and UWB tags worn by staff members entering the target power plant; wherein, both the RFID positioning module and the UWB positioning module perform positioning verification within the entire domain in the target power plant, and during the personnel positioning process, the RFID positioning module and the UWB positioning module are combined for collaborative positioning to obtain the real-time positions of each staff member.

[0008] In a possible implementation, based on the entry safety monitoring requirements, perform a risk protection behavior detection on the first temporarily risky person to generate a first risk protection outlier, and perform the following processing: Connect the intelligent camera in the first risk area to collect image data of the first temporarily risky person to generate a first sequence of person images; Extract the first entry safety monitoring requirements corresponding to the first risk area through the power plant BIM model; Perform a compliance detection on the protection of the first sequence of person images according to the first entry safety monitoring requirements to generate the first risk protection outlier.

[0009] In a possible implementation, perform the following processing: Construct a standard protection image with multiple perspectives according to the first entry safety monitoring requirements; Compare the consistency of the protection features between the first sequence of person images and the standard protection image. If the consistency comparison passes, set the first risk protection outlier to 0, otherwise set it to 1.

[0010] In a possible implementation, read the tasks to be executed by the first temporarily risky person, and connect to the historical personnel behavior monitoring log library of the target power plant to perform an anomaly detection of the personnel trajectory to generate a second risk protection outlier, and perform the following processing: Retrieve in the historical personnel behavior monitoring log library according to the tasks to be executed and the identity information of the first temporarily risky person to generate a historical behavior data set; Based on the historical behavior data set, judge whether there is a cross feature that meets the safety distance between the task execution route of the first temporarily risky person and the first risk area to generate the second risk protection outlier.

[0011] In a possible implementation, verify whether the first temporarily risky person is authorized, and perform the following processing: Extract the identity information through the RFID tag or UWB tag carried by the first temporarily risky person to generate a first identity information; Obtain the personnel activity permission constraints corresponding to the multiple risk areas respectively, and extract the first personnel activity permission constraint corresponding to the first risk area; Verify whether the first identity information is authorized according to the first personnel activity permission constraint.

[0012] In a possible implementation, perform the following processing: The proximity monitoring requirement for unauthorized personnel refers to the early warning distance requirement between a staff member without entry permission for any risk area and the risk area; The entry safety monitoring requirement for authorized personnel refers to the self-safety protection requirement for a staff member with entry permission for any risk area before entering the risk area.

[0013] In a possible implementation, after an abnormal warning of the personnel location is given, the following processing is also performed: receiving and parsing the warning response information, and if no warning has been given for the first risk area and the first temporarily risky personnel, after the first temporarily risky personnel enter the first risk area, collecting the first physiological characteristics and the first behavioral characteristics of the first temporarily risky personnel within the first risk area; performing safety analysis and warning on the first temporarily risky personnel based on the first physiological characteristics and the first behavioral characteristics.

[0014] In a possible implementation, when performing safety analysis and warning on the first temporarily risky personnel based on the first physiological characteristics and the first behavioral characteristics, the following processing is performed: constructing an operation behavior characteristic library and a physiological characteristic library that meet safety requirements based on the to-be-executed tasks; inputting the first physiological characteristics into the physiological characteristic library for warning trigger analysis to generate a first trigger signal; inputting the first behavioral characteristics into the operation behavior characteristic library for warning trigger analysis to generate a second trigger signal; and giving a warning based on the first trigger signal and the second trigger signal.

[0015] This application also provides a power plant personnel location dynamic monitoring and warning system based on BIM, including: a power plant BIM model construction module, which is used to construct the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas for a target power plant, perform BIM modeling and marking, and construct a power plant BIM model; a first temporarily risky personnel determination module, which is used to perform zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and determine the first temporarily risky personnel corresponding to the first risk area in combination with the proximity monitoring requirements marked in the power plant BIM model; a verification module, which is used to verify whether the first temporarily risky personnel are authorized; a first risk protection outlier generation module, which is used to, if the verification is passed, perform risk protection behavior detection on the first temporarily risky personnel based on the entry safety monitoring requirements and generate a first risk protection outlier; a second risk protection outlier generation module, which is used to, if the verification fails, read the to-be-executed tasks of the first temporarily risky personnel, connect to the historical personnel behavior monitoring log library of the target power plant for abnormal detection of personnel trajectories, and generate a second risk protection outlier; and an abnormal warning module, which is used to give an abnormal warning of the personnel location based on the first risk protection outlier or the second risk protection outlier.

[0016] The method and system for dynamically monitoring and warning the positions of power plant personnel based on BIM proposed in this application first constructs the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas for the target power plant, and performs BIM modeling and marking to construct a power plant BIM model. Then, it uses personnel positioning devices to conduct zero-trust personnel monitoring on the multiple risk areas, and combines the proximity monitoring requirements marked in the power plant BIM model to determine the first temporarily risky personnel corresponding to the first risk area. Furthermore, it verifies whether the first temporarily risky personnel is authorized or not. If the verification passes, it detects the risk protection behavior of the first temporarily risky personnel based on the entry safety monitoring requirements to generate a first risk protection anomaly value. If the verification fails, it reads the tasks to be executed by the first temporarily risky personnel and connects to the historical personnel behavior monitoring log library of the target power plant to detect anomalies in the personnel trajectory to generate a second risk protection anomaly value. Finally, it issues an anomaly warning for the personnel position based on the first risk protection anomaly value or the second risk protection anomaly value. The technical effect of improving the monitoring and warning ability of the power plant is achieved. Description of the Drawings

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of this application. It should be understood that the operations before or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0018] Figure 1 It is a schematic flowchart of the method for dynamically monitoring and warning the positions of power plant personnel based on BIM provided by the embodiments of this application.

[0019] Figure 2 It is a schematic structural diagram of the system for dynamically monitoring and warning the positions of power plant personnel based on BIM provided by the embodiments of this application.

[0020] Description of the reference numerals: The power plant BIM model construction module 10, the first temporarily risky personnel determination module 20, the verification module 30, the first risk protection anomaly value generation module 40, the second risk protection anomaly value generation module 50, and the anomaly warning module 60. Detailed Embodiments

[0021] The above description is only an overview of the technical solutions of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the following specifically gives the detailed embodiments of this application.

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the following will further describe this application in detail in conjunction with the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this application.

[0023] In the following description, "some embodiments" are involved, which describe subsets of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0024] The embodiments of this application provide a method for dynamically monitoring and warning the positions of power plant personnel based on BIM, as Figure 1 shown. The method includes:

[0025] Step S100: For the target power plant, construct the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas, and perform BIM modeling and marking to construct a power plant BIM model.

[0026] Specifically, collect information such as the layout plan, equipment distribution, and safety specifications of the target power plant. This information is used to determine which areas are risk areas and the corresponding safety monitoring requirements. Based on the collected data, the power plant is divided into multiple risk areas. A risk area refers to an area in the power plant where potential hazards exist and requires special safety monitoring and management, such as high-voltage electrical equipment areas, chemical storage areas, and high-temperature operation areas. Different monitoring requirements are set for each area according to its specific risk characteristics.

[0027] The monitoring requirements include the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel. Proximity monitoring of unauthorized personnel means setting a safety distance threshold for each risk area, and triggering an alarm when an unauthorized person approaches this distance. Entry safety monitoring of authorized personnel means that in addition to proximity monitoring, safety conditions for entry are also set for authorized personnel, such as wearing protective clothing and carrying necessary tools or equipment.

[0028] Using BIM (Building Information Modeling) software, construct a BIM model of the power plant according to the actual layout and risk area division of the power plant. In the model, mark each risk area and associate the corresponding monitoring requirements.

[0029] In a possible implementation, step S100 further includes: The proximity monitoring requirement for unauthorized personnel refers to the warning distance requirement between the staff without access rights to any risk area and the risk area; The entry safety monitoring requirement for authorized personnel refers to the self-safety protection requirement for the staff with access rights to any risk area before entering the risk area.

[0030] Specifically, through information such as the safety specifications of the power plant, historical accident records, and equipment layout diagrams, identify the risk areas that may be dangerous within the power plant. According to factors such as risk level and hazard type, divide the identified risk areas in detail and assign a unique identifier to each area. For each risk area, set a warning distance according to the safety specifications. This distance is determined based on the degree of danger that may occur when unauthorized personnel approach the risk area. The warning distance requirement refers to the safety distance threshold between unauthorized personnel and the risk area. When unauthorized personnel enter or approach this distance, the system will trigger a warning. For the staff with access rights to enter the risk area, set a series of safety protection measure requirements according to the safety specifications, such as wearing specific protective clothing, helmets, face shields, carrying necessary detection tools, etc. The self-safety protection requirement refers to the safety protection measure requirements that authorized personnel must meet before entering the risk area to ensure that authorized personnel will not be injured when performing tasks. This implementation provides a clear goal and basis for the entire solution. Through precise risk area division and monitoring requirement setting, it provides a strong guarantee for the safe operation and efficient management of the power plant.

[0031] Step S200, conduct zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and combine the proximity monitoring requirements marked in the BIM model of the power plant to determine the first temporarily risky personnel corresponding to the first risk area.

[0032] Specifically, advanced personnel positioning devices such as RFID readers and UWB base stations are deployed in the power plant. These devices are responsible for capturing and recording the location information of personnel in the power plant in real time. To ensure the accuracy of personnel positioning, all personnel in the power plant (whether employees or visitors, authorized or unauthorized) need to wear specific positioning tags. These tags can be RFID tags or UWB positioning tags, which can communicate with the positioning devices in the power plant and upload the location information of personnel in real time. The zero-trust principle is adopted for personnel monitoring, that is, any unauthenticated personnel or behavior is not trusted by default. That is, regardless of whether personnel have authorization, as long as they enter the power plant, they will be monitored in real time. The previously constructed BIM model of the power plant is utilized, and this model has detailedly marked the proximity monitoring requirements for each risk area, such as the warning distance, etc. When the personnel positioning device detects that a person is approaching a risk area, the system automatically compares the proximity monitoring requirements in the BIM model with the current location information of the person. If a person approaches a certain risk area and does not meet the proximity monitoring requirements of that area, the system will automatically mark this person as the first temporarily risky person.

[0033] In a possible implementation, zero-trust personnel monitoring is performed on the multiple risk areas through the personnel positioning device, and in combination with the proximity monitoring requirements marked in the BIM model of the power plant, the first temporarily risky person corresponding to the first risk area is determined. Step S200 further includes step S210 of obtaining the real-time locations of each staff member in the target power plant through the personnel positioning device. Specifically, the personnel positioning device includes RFID readers and tags, UWB base stations and positioning tags, Bluetooth beacons and smartphone applications, etc. These technologies achieve communication between personnel and devices through wireless signals (such as radio frequency, ultra-wideband, or Bluetooth), thereby determining the location of personnel. The positioning device continuously sends signals, which are received by the corresponding receivers. By calculating parameters such as the signal propagation time, angle, or intensity, the location of personnel can be accurately calculated and this information is transmitted to the central monitoring system in real time.

[0034] Step S220: Display the real-time positions of the respective staff members in the power plant BIM model, and determine the mapping relationship between the areas triggering the proximity monitoring requirements and the staff members based on the proximity monitoring requirements of unauthorized personnel in multiple risk areas marked in the power plant BIM model. Specifically, through an API (Application Programming Interface) or database connection, integrate the data interface of the personnel positioning system with the BIM model, enabling the real-time position information to be intuitively displayed in the BIM model. In the BIM model, parameters for proximity monitoring requirements (such as warning distances) are preset for each risk area. When the real-time position of a person meets these parameters (i.e., enters the warning distance), the system triggers the corresponding monitoring requirements. By comparing the risk areas triggering the monitoring requirements with the real-time position information, the system can determine which personnel (i.e., the first temporarily at-risk personnel) are approaching these areas and establish the corresponding mapping relationship.

[0035] Step S230: Based on the mapping relationship, determine the first risk areas and the first temporarily at-risk personnel. Specifically, according to the mapping relationship, the system can identify which risk areas are triggered (i.e., there are personnel approaching). For each triggered risk area, the system can further determine which personnel are the first temporarily at-risk personnel approaching the area. This information includes the identity information, position information, and specific time and situation of approaching the risk area. This implementation method not only achieves the accurate capture and display of the real-time positions of all staff members in the power plant but also successfully establishes the mapping relationship between the risk areas and personnel by integrating the BIM model and triggering proximity monitoring requirements, providing a basis for subsequent authorization verification, risk protection behavior detection, and anomaly warning.

[0036] In a possible implementation, step S210 further includes: The personnel positioning device includes an RFID positioning module and a UWB positioning module. Among them, the RFID positioning module includes RFID readers installed in the target power plant and RFID tags worn by the staff members entering the target power plant, and the UWB positioning module includes UWB base stations installed in the target power plant and UWB tags worn by the staff members entering the target power plant; among them, both the RFID positioning module and the UWB positioning module perform positioning verification within the entire area of the target power plant, and during the personnel positioning process, the RFID positioning module and the UWB positioning module are combined for collaborative positioning to obtain the real-time positions of the respective staff members.

[0037] Specifically, RFID readers are installed in the key areas and entrances / exits of the target power plant. These readers are responsible for sending radio frequency signals and receiving responses from RFID tags. All staff members entering the target power plant are required to wear RFID tags, which can be worn on safety helmets, work badges, clothes, etc. These tags are built-in with unique identification codes. When they enter the radio frequency range of the RFID reader, they will actively or passively send their identification codes. The radio frequency signals emitted by the RFID reader will activate the RFID tags within its range, and the tags will then send their identification codes back to the reader. After receiving the signal, the reader will convert it into digital data and transmit it to the central processing system.

[0038] UWB base stations are evenly distributed within the target power plant. These base stations are responsible for sending and receiving ultra-wideband signals to achieve precise personnel positioning. Similarly, all staff members entering the target power plant are required to wear UWB tags, which can receive signals from UWB base stations and calculate their own positions based on information such as time of arrival and angle of the signals. The UWB base stations receive signals from UWB tags, and through complex algorithm processing (such as time difference measurement, angle measurement, etc.), calculate the precise positions of the tags and transmit this information to the central processing system.

[0039] The central processing system receives data from RFID readers and UWB base stations and performs fusion processing on this data. Since RFID and UWB positioning technologies each have their own advantages and disadvantages (such as lower cost but limited accuracy for RFID, high accuracy but higher cost for UWB), by fusing the data of both, more precise and reliable personnel positioning can be achieved. To further improve the positioning accuracy, the central processing system can adopt advanced algorithms (such as Kalman filtering, particle filtering, etc.) to optimize the fused data to eliminate noise and errors. The RFID positioning module, with its low cost and easy deployment characteristics, provides preliminary personnel position information for the system. However, due to its limited accuracy, it cannot meet the high requirements of the power plant for the accuracy of personnel positions. Therefore, in this implementation method, the system introduces the UWB positioning module. Through its characteristics of high accuracy and strong anti-interference performance, it corrects and optimizes the RFID positioning results. This collaborative positioning method not only improves the accuracy of personnel positioning but also enhances the reliability and stability of the system.

[0040] To ensure that the RFID reader and UWB base station can cover the entire power plant area, the following steps are required: Conduct a comprehensive survey of the physical environment of the power plant, including building layout, equipment distribution, wall materials, obstacle locations, etc. Use 3D modeling software (such as Revit) to build a detailed 3D model of the power plant, marking the uses of each area and potential signal interference sources. According to the signal propagation characteristics of RFID and UWB technologies, use electromagnetic simulation software (such as CST Studio Suite) to simulate the signal coverage of the power plant environment. Set parameters such as the transmission power, antenna gain, and signal frequency of the RFID reader and UWB base station in the simulation to simulate the signal propagation in the power plant. Based on the simulation results, preliminarily determine the distribution positions and densities of the RFID reader and UWB base station. For example, RFID readers are mainly deployed in areas with frequent personnel flow such as entrances, exits, and corridors, while UWB base stations are evenly distributed throughout the power plant to ensure high-precision positioning. Optimize the signal coverage range by adjusting the number, position, and transmission power of the base stations and readers to ensure no blind spots. After actually deploying a certain number of RFID readers and UWB base stations in the power plant, conduct on-site signal testing. Use testing equipment (such as a signal strength tester) to measure the signal strength and positioning accuracy in each area of the power plant. Adjust the distribution positions and densities according to the test results. For example, increase the number of base stations in areas with weak signals and adjust the antenna direction to improve signal coverage. During the operation of the system, continuously monitor the signal coverage. Discover potential signal coverage problems by analyzing the integrity and accuracy of personnel positioning data. Conduct signal testing and optimization adjustments regularly to cope with changes in the power plant environment (such as equipment installation, wall renovation, etc.). Table 1 shows a specific example of the layout. Among them, the main plant area of the power plant is a rectangular building, 100 meters long, 50 meters wide, and 20 meters high, with multiple equipment rooms and corridors inside.

[0041] Table 1: Example of the Layout of UWB Base Stations and RFID Readers

[0042]

[0043] Step S300, verify whether to authorize the first temporarily risky personnel.

[0044] Specifically, authenticate the identity by reading the identity information (such as employee ID, visitor card, etc.) on the positioning device worn by the person. Compare the authenticated identity information with the power plant's permission management system to query whether the person has the right to enter the current risky area. Among them, the permission management system is used to manage the permission information of personnel in the power plant to ensure that only authorized personnel can enter specific risky areas.

[0045] In a possible implementation, for verifying whether to authorize the first temporarily risky personnel, step S300 further includes step S310 of extracting identity information through the RFID tag or UWB tag carried by the first temporarily risky personnel to generate first identity information. Specifically, when the RFID tag carried by the first temporarily risky personnel enters the radio frequency range of the RFID reader, the reader will read the unique identification code in the tag, and this identification code is associated with the personnel's identity information. The system generates the first identity information (such as name, employee number, department, etc.) by querying the database to convert the identification code into the corresponding identity information. For personnel carrying UWB tags, the system also obtains the corresponding identity information by querying the database.

[0046] Step S320: Obtain the personnel activity permission constraints corresponding to the multiple risky areas respectively, and extract the first personnel activity permission constraint corresponding to the first risky area. Specifically, when constructing the power plant BIM model, corresponding personnel activity permission constraints have been set for each risky area. These constraints exist in the form of rules, policies, or access control lists, which define in detail which personnel (or identities) have the permission to enter which areas. Once the first risky area is determined, the system can extract the personnel activity permission constraint related to this area, that is, the first personnel activity permission constraint, from the permission constraint database.

[0047] Step S330: Verify whether to authorize the first identity information based on the first personnel activity permission constraint. Specifically, the system compares the first identity information with the first personnel activity permission constraint. If the first identity information meets the entry permission requirements of the first risky area, the verification passes; otherwise, the verification fails. This step involves complex decision-making logic and needs to consider various factors, such as the personnel's role, responsibility, working hours, emergency situations, etc. The system will make decisions based on these factors and preset rules. This implementation realizes the authorization verification of the first temporarily risky personnel and is one of the key steps to ensure the safe operation of the power plant, providing strong technical support and guarantee for the power plant personnel location dynamic monitoring and early warning method.

[0048] A possible example is as follows: In the power plant's permission management system, a series of authorization rules are preset and stored in tabular form. The rules include personnel roles, responsibilities, working hours, emergency situation conditions, and the corresponding authorization results. The authorization rules of the power plant are shown in Table 2. The system obtains the identity information of the first temporarily risky personnel, including the employee role and responsibility, from the positioning device. It obtains the current time and task emergency situation information from the power plant's production management system. The system matches the obtained personnel information and environmental information with the preset rules and makes a judgment on whether to authorize according to the rule logic.

[0049] Table 2: Example of authorization rules

[0050]

[0051] Suppose the system detects a maintenance staff member (role: maintenance staff, responsibility: high-voltage equipment maintenance) approaching the high-voltage equipment area at 18:00 and there is no emergency situation currently. According to Rule 3, the system determines that the person does not meet the authorization conditions, so the verification fails.

[0052] Step S400, if the verification passes, based on the entry safety monitoring requirements, conduct a risk protection behavior detection on the first temporarily risky person to generate a first risk protection anomaly value.

[0053] Specifically, for the authorized personnel who pass the verification, check whether they meet the safety conditions for entering the risk area (such as wearing protective clothing, carrying necessary tools or equipment). If the personnel do not meet the safety conditions, generate a first risk protection anomaly value according to the degree of non-compliance. The higher the anomaly value, the greater the risk. Among them, the risk protection behavior refers to the safety measures that need to be taken before entering the risk area.

[0054] In a possible implementation manner, based on the entry safety monitoring requirements, conduct a risk protection behavior detection on the first temporarily risky person to generate a first risk protection anomaly value. Step S400 further includes Step S410, connect the intelligent camera in the first risk area, collect image data of the first temporarily risky person, and generate a first sequence of personnel images. Specifically, the system identifies and connects to the intelligent cameras deployed in the first risk area. These cameras have high-definition video recording functions and can communicate with the central monitoring system through wired or wireless networks. Once the connection is successful, the intelligent camera starts to capture the image data of the first temporarily risky person when entering or approaching the first risk area. These image data are captured in the form of continuous frames to form a sequence of personnel images. The collected image data needs to be preprocessed, such as denoising, enhancing contrast, etc., to improve the accuracy of subsequent analysis.

[0055] Step S420, extract the first entry safety monitoring requirements corresponding to the first risk area through the power plant BIM model. Specifically, the system uses the power plant BIM model as an information source, and queries the entry safety monitoring requirements related to the first risk area by parsing the metadata, attribute tags or associated documents in the BIM model. These requirements include specific safety protection measures, wearing requirements, operation specifications, etc. The specific requirements extracted from the BIM model are the basis for subsequent compliance detection.

[0056] Step S430: Conduct compliance detection on the first personnel image sequence according to the first entry safety monitoring requirements to generate the first risk protection outlier. Specifically, computer vision technologies such as object detection and behavior recognition are used to analyze the first personnel image sequence. These technologies can identify the personnel, objects, and their behaviors in the image. The results of the image analysis are compared with the entry safety monitoring requirements extracted from the BIM model. If the personnel behavior does not conform to the specified safety protection measures or wearing requirements, it is determined as non-compliant. For non-compliant behaviors, the system generates a first risk protection outlier. This outlier can be a simple boolean value (compliant / non-compliant), or a complex score or metric used to quantify the degree of non-compliance. This implementation realizes the detection of risk protection behaviors when authorized personnel enter the risk area, provides strong technical support and guarantee for the power plant personnel location dynamic monitoring and early warning method, and helps to ensure the safe and stable operation of the power plant.

[0057] In a possible implementation, step S430 further includes step S431: Construct multi-perspective standard protection images according to the first entry safety monitoring requirements. Specifically, the system deeply understands the first entry safety monitoring requirements corresponding to the first risk area, including specific safety protection measures such as wearing specific protective equipment (such as safety helmets, protective clothing, protective glasses, etc.) and performing specific safety operations (such as using specific tools, etc.). Based on these requirements, the system uses computer graphics technology or deep learning technology to construct multi-perspective standard protection images. These images are used to accurately reflect the correct protection postures and equipment that meet the safety monitoring requirements. For example, 3D modeling software (such as AutoCAD, Revit, etc.) can be used to create 3D models according to the safety monitoring requirements and render them into standard protection images from multiple perspectives. Or, based on a large amount of correct protection image data, a model can be trained using deep learning technology (such as convolutional neural network CNN) that can generate or select the most compliant standard protection images according to the safety monitoring requirements. The constructed standard protection images are stored in the system's database and associated with the safety monitoring requirements of the first risk area for comparison and verification.

[0058] Step S432: Perform a consistency comparison of the protection features between the first personnel image sequence and the standard protection image. If the consistency comparison passes, set the first risk protection outlier value to 0; otherwise, set it to 1. Specifically, through image processing and computer vision techniques (such as edge detection, contour recognition, color recognition, etc.), key protection features are extracted from the first personnel image sequence, such as the protection status of parts like the head (whether a safety helmet is worn), the body (whether protective clothing is worn), and the hands (whether protective gloves are worn). Then, using comparison algorithms (such as feature point matching, template matching, classification and regression of deep learning models, etc.), the extracted features are compared with the features in the standard protection image for consistency. For example, key points in the image (such as corner points, edge points, etc.) can be identified, and features such as the distances and angles between these key points are calculated and then matched with the key points in the standard image. Or the standard protection image can be used as a template to search for the most similar part in the personnel image sequence to determine the compliance of the protection. Or a deep learning model can be trained that can directly accept the personnel image sequence as input and output a probability or score representing the protection compliance. According to the comparison result, if the protection features in the personnel image sequence are consistent with the features in the standard protection image, it is determined to be compliant, and the first risk protection outlier value is set to 0 (indicating no abnormality); if they are inconsistent, it is determined to be non-compliant, and the first risk protection outlier value is set to 1 (indicating an abnormality). This implementation method can accurately reflect the correct protection postures and equipment that meet the safety monitoring requirements by constructing a standard protection image from multiple perspectives, providing a clear standard and basis for comparison and verification. Through the consistency comparison, the system can objectively evaluate the compliance of personnel protection behaviors, avoiding the subjectivity and uncertainty of manual judgment, and improving the accuracy and reliability of detection. Converting the comparison result into the first risk protection outlier value (set to 1 or 0) enables the system to promptly issue a warning signal to remind relevant personnel to take measures for correction, which helps prevent potential safety accidents and ensure the safe and stable operation of the power plant.

[0059] Step S500: If the verification fails, read the tasks to be executed by the first temporarily risky personnel, and connect to the historical personnel behavior monitoring log library of the target power plant to perform abnormal detection of personnel trajectories, generating a second risk protection outlier value.

[0060] Specifically, for unauthorized personnel who fail the verification, read the task information to be executed by them (such as maintenance tasks, inspection tasks, etc.). Compare the location information of the unauthorized personnel with the historical personnel behavior monitoring log library of the power plant to analyze whether their trajectories are abnormal. If the trajectory is abnormal (such as frequently entering high-risk areas, staying for a long time, etc.), generate a second risk protection anomaly value according to the degree of abnormality. Among them, the historical personnel behavior monitoring log library records the historical behavior data of the personnel in the power plant and is used to analyze whether the behavior patterns of the personnel are normal.

[0061] In a possible implementation manner, read the task to be executed by the first temporarily risky personnel, connect to the historical personnel behavior monitoring log library of the target power plant for abnormal detection of the personnel trajectory, and generate a second risk protection anomaly value. Step S500 further includes step S510, retrieve in the historical personnel behavior monitoring log library with the task to be executed and the identity information of the first temporarily risky personnel to generate a historical behavior data set. Specifically, the task to be executed refers to the work task currently assigned or planned to be executed by the first temporarily risky personnel, including information such as the destination of the task, the required time, and the task type. The identity information refers to the identification information that can uniquely identify the first temporarily risky personnel, such as employee number, name, department affiliation, etc., and these information are associated with RFID tags or UWB tags. The historical personnel behavior monitoring log library is a database that stores data such as the behavior trajectories, task execution situations, and location information of all staff in the target power plant in the past period of time. These data are collected through various devices installed in the power plant, such as sensors, cameras, RFID readers, etc. The system will search for historical behavior records of tasks similar to or the same as those of the first temporarily risky personnel in the historical personnel behavior monitoring log library through processes such as database query, data filtering, and matching according to the task to be executed and the identity information. After retrieval and screening, the system will obtain a data set containing historical behavior records related to the current task of the first temporarily risky personnel. This data set is used for abnormal detection of the behavior trajectory.

[0062] Step S520: Based on the historical behavior dataset, determine whether there is an intersection feature that meets the safety distance between the task execution route of the first temporarily risky person and the first risk area, and generate the second risk protection outlier. Specifically, the task execution route refers to the path that the first temporarily risky person plans to move within the power plant to complete the task to be executed. This path can be speculated or constructed based on similar task execution records in the historical behavior dataset. The safety distance refers to the minimum distance set to avoid potential risks and maintained from the first risk area. This distance is determined according to the nature of the risk area, the degree of potential danger, and the safety regulations of the power plant. The intersection feature refers to whether there is an overlap or proximity in space between the task execution route and the first risk area that does not meet the safety distance, which is detected through technical means such as spatial analysis and distance calculation. According to the detection result of the intersection feature, the system will generate a value indicating whether there is an abnormal risk protection. If there is an intersection feature between the task execution route and the first risk area that does not meet the safety distance, the outlier value is 1 (indicating an abnormality); otherwise, it is 0 (indicating no abnormality). This implementation method can obtain historical behavior records similar to or the same as the current task of the first temporarily risky person by retrieving the historical personnel behavior monitoring log library. These records provide valuable reference information for the system and help to more accurately speculate and construct the task execution route. By determining whether there is an intersection feature that meets the safety distance between the task execution route and the first risk area, potential safety risks can be detected in a timely manner, which helps to prevent unauthorized personnel from accidentally entering the risk area due to task execution, thus triggering safety accidents. Converting the detection result into the second risk protection outlier (set to 1 or 0) enables the system to issue a warning signal in a timely manner, reminding relevant personnel to take measures for correction or prevention, which helps to ensure the safe and stable operation of the power plant and protect the safety of personnel's lives and property.

[0063] Step S600: Conduct abnormal warning of the personnel location with the first risk protection outlier or the second risk protection outlier.

[0064] Specifically, according to the magnitudes of the first risk protection outlier or the second risk protection outlier, it is determined whether the early warning condition is met (a threshold condition set according to the safety specifications of the power plant for determining whether an early warning needs to be issued). If the early warning condition is not met, the system records relevant information (such as personnel identity, location, outlier, time, etc.) in the log database. At the same time, the system sends the relevant information to the designated safety management personnel through a preset communication interface (such as email, SMS, system message) for their subsequent analysis and processing. If the early warning condition is met, an early warning message is sent to relevant personnel (such as safety administrators, area supervisors, etc.) through the safety management system of the power plant to indicate the existence of potential safety risks. After receiving the early warning message, the relevant personnel take corresponding emergency response measures according to the risk level, such as immediately evacuating personnel, strengthening safety monitoring, etc. In the embodiment of the present application, for the power plant, BIM modeling is carried out according to the different requirements of risk areas, safety monitoring points for unauthorized approach and authorized entry are marked, the risk area is monitored in real time by using personnel positioning devices, risk personnel approaching (the first temporarily risky personnel) are identified, authorization verification is performed on the identified risk personnel. If the verification is passed, risk protection behavior detection is carried out to generate the first risk protection outlier. If the verification fails, combined with the historical behavior log, trajectory anomaly detection is carried out to generate the second risk protection outlier. According to the generated risk protection outliers, technical means such as abnormal early warning of personnel location are used to solve the problems of monitoring blind spots, untimely early warning, and difficulty in effectively dealing with the intrusion of unauthorized personnel, achieving the technical effect of improving the monitoring and early warning ability of the power plant.

[0065] In a possible implementation manner, after the abnormal early warning of the personnel location is carried out, the method further includes: receiving and parsing the early warning response information. If no early warning is carried out for the first risk area and the first temporarily risky personnel, after the first temporarily risky personnel enter the first risk area, the first physiological characteristics and the first behavior characteristics of the first temporarily risky personnel in the first risk area are collected; based on the first physiological characteristics and the first behavior characteristics, safety analysis and early warning are carried out on the first temporarily risky personnel.

[0066] Specifically, the system receives the early warning response information from the monitoring center or other relevant systems through a preset communication interface (such as network communication, serial communication, etc.). This information includes key information such as the early warning status (such as triggered, not triggered), early warning area, and early warning personnel. The system parses the received early warning response information and extracts the key information therein, such as the early warning status, early warning area number, early warning personnel number, etc. The system determines whether an early warning has been triggered for the first risk area and the first temporarily risky personnel according to the parsed early warning status information. If the early warning has been triggered, the subsequent steps are not executed; if the early warning has not been triggered, the process continues.

[0067] The system collects the physiological characteristic data of the first temporarily high-risk person in the first risk area in real time through the physiological monitoring devices (such as heart rate monitors, blood oxygen saturation monitors, etc.) worn by the person, such as heart rate, blood pressure, blood oxygen saturation, etc. Through the cameras or other image acquisition devices installed in the first risk area, the behavior characteristic data of the first temporarily high-risk person are collected in real time, such as action postures, behavior trajectories, facial expressions, etc. These data can be extracted and analyzed through image processing techniques.

[0068] The collected physiological and behavioral characteristic data are preprocessed, such as denoising, standardization, etc., to improve the accuracy of analysis. Key characteristics related to safety are extracted from the preprocessed data, such as abnormal heart rate, irregular actions, signs of fainting, etc. Based on the extracted characteristics, the safety of the first temporarily high-risk person is evaluated using a preset safety assessment model (such as machine learning models, rule engines, feature library comparison, etc.). The evaluation result can be a numerical value or a level representing the safety status. If the safety assessment result shows that the first temporarily high-risk person is in an unsafe state, the system generates a safety warning message and sends the warning message to relevant personnel or systems through a preset communication method (such as text messages, emails, system prompts, etc.). This implementation method complements the functions of the warning system. For personnel who enter the risk area but do not trigger a warning, the system can collect their physiological and behavioral characteristics to monitor their safety status in real time, which helps to promptly discover potential safety risks, such as physical discomfort, operation errors, etc., so as to take timely intervention measures to prevent accidents and improve the safety guarantee level of power plant staff in the risk area.

[0069] In a possible implementation method, the safety analysis and warning of the first temporarily high-risk person based on the first physiological characteristics and the first behavioral characteristics further includes: constructing a job behavior characteristic library and a physiological characteristic library that meet safety requirements based on the task to be executed; inputting the first physiological characteristics into the physiological characteristic library for warning trigger analysis to generate a first trigger signal; inputting the first behavioral characteristics into the job behavior characteristic library for warning trigger analysis to generate a second trigger signal; and issuing a warning with the first trigger signal and the second trigger signal.

[0070] Specifically, according to the safety operation procedures of the power plant and the specific requirements of the tasks to be performed, a series of safety operation behavior characteristics are extracted and defined. These characteristics include, but are not limited to, correct operation postures, necessary protective measures (such as wearing safety helmets, protective glasses, respirators, etc.), and key steps in the operation process. These characteristics are stored in digital form to form an operation behavior characteristic library. According to the physiological reaction laws of the human body in a specific working environment, a series of safety physiological characteristic thresholds are set. These thresholds include, but are not limited to, heart rate range, blood pressure range, blood oxygen saturation, etc. These thresholds are stored in digital form to form a physiological characteristic library.

[0071] The first physiological characteristics (such as heart rate, blood pressure, etc.) of the first temporarily risky person monitored in real time are input into the physiological characteristic library for comparison and analysis. If any physiological characteristic exceeds the preset safety threshold range, a first trigger signal is generated, indicating that the person may be in an unsafe state. The first behavior characteristics (such as operation postures, implementation of protective measures, etc.) of the first temporarily risky person monitored in real time are compared and analyzed with the standard characteristics in the operation behavior characteristic library. If it is found that the behavior characteristics do not meet the safety requirements or are abnormal, a second trigger signal is generated, indicating that there may be risks in the person's operation behavior.

[0072] When any one or both of the first trigger signal and the second trigger signal are triggered, the system immediately gives an alarm. The alarm methods can include audible and visual alarms, text message notifications, email reminders, etc., to enable relevant personnel to take measures quickly to ensure the safe operation of the power plant. This implementation method accurately defines and identifies safety operation behaviors and physiological characteristic thresholds by constructing an operation behavior characteristic library and a physiological characteristic library. It provides reliable data support for alarm trigger analysis. Through real-time monitoring and alarm trigger analysis, potential safety risks can be detected and alarmed in a timely manner, which helps the power plant management personnel take measures quickly to prevent accidents and thus ensure the safe operation of the power plant.

[0073] In the above text, reference is made to Figure 1 A method for dynamic monitoring and early warning of the positions of power plant personnel based on BIM according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe a system for dynamic monitoring and early warning of the positions of power plant personnel based on BIM according to an embodiment of the present invention.

[0074] The BIM-based dynamic monitoring and early warning system for the positions of power plant personnel according to the embodiments of the present invention is used to solve the technical problem of insufficient monitoring and early warning capabilities existing in the existing power plant personnel position monitoring due to monitoring blind spots, untimely early warnings, and difficulty in effectively dealing with the intrusion of unauthorized personnel, and achieve the technical effect of improving the monitoring and early warning capabilities of power plants. The BIM-based dynamic monitoring and early warning system for the positions of power plant personnel includes: a power plant BIM model construction module 10, a first temporary risk personnel determination module 20, a verification module 30, a first risk protection outlier generation module 40, a second risk protection outlier generation module 50, and an abnormal early warning module 60.

[0075] The power plant BIM model construction module 10 is used to construct the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas for a target power plant, and perform BIM modeling and marking to construct a power plant BIM model; the first temporary risk personnel determination module 20 is used to monitor zero-trust personnel in the multiple risk areas through personnel positioning devices, and determine the first temporary risk personnel corresponding to the first risk area in combination with the proximity monitoring requirements marked in the power plant BIM model; the verification module 30 is used to verify whether the first temporary risk personnel are authorized; the first risk protection outlier generation module 40 is used to, if the verification is passed, detect the risk protection behaviors of the first temporary risk personnel based on the entry safety monitoring requirements and generate a first risk protection outlier; the second risk protection outlier generation module 50 is used to, if the verification fails, read the to-be-executed tasks of the first temporary risk personnel and connect to the historical personnel behavior monitoring log library of the target power plant to perform abnormal detection of personnel trajectories and generate a second risk protection outlier; the abnormal early warning module 60 is used to perform abnormal early warnings of personnel positions based on the first risk protection outlier or the second risk protection outlier.

[0076] Next, the specific configuration of the first temporary risk personnel determination module 20 will be described in detail. As described above, zero-trust personnel are monitored in the multiple risk areas through personnel positioning devices, and the first temporary risk personnel corresponding to the first risk area are determined in combination with the proximity monitoring requirements marked in the power plant BIM model. The first temporary risk personnel determination module 20 may further include: a real-time position acquisition unit for acquiring the real-time positions of each staff member in the target power plant through a personnel positioning device; a mapping relationship determination unit for displaying the real-time positions of each staff member in the power plant BIM model and determining the mapping relationship between the area triggering the proximity monitoring requirements and the staff members based on the proximity monitoring requirements of unauthorized personnel in the multiple risk areas marked in the power plant BIM model; a risk area and risk personnel determination unit for determining the first risk area and the first temporary risk personnel based on the mapping relationship.

[0077] Among them, the real-time position acquisition unit may further include: the personnel positioning device includes an RFID positioning module and a UWB positioning module. Among them, the RFID positioning module includes an RFID reader disposed in the target power plant and an RFID tag worn by the staff entering the target power plant. The UWB positioning module includes a UWB base station disposed in the target power plant and a UWB tag worn by the staff entering the target power plant. Among them, both the RFID positioning module and the UWB positioning module perform positioning verification within the entire domain in the target power plant. During the personnel positioning process, the RFID positioning module and the UWB positioning module are combined for collaborative positioning to obtain the real-time positions of the respective staff members.

[0078] Next, the specific configuration of the first risk protection outlier generation module 40 will be described in detail. As described above, based on the entry safety monitoring requirements, risk protection behavior detection is performed on the first temporarily risky personnel to generate a first risk protection outlier. The first risk protection outlier generation module 40 may further include: an image data acquisition unit for connecting to an intelligent camera in the first risk area to acquire image data of the first temporarily risky personnel and generate a first personnel image sequence; a first entry safety monitoring requirement extraction unit for extracting the first entry safety monitoring requirement corresponding to the first risk area through the power plant BIM model; a compliance detection unit for performing compliance detection on the first personnel image sequence with respect to the first entry safety monitoring requirement to generate the first risk protection outlier.

[0079] Among them, the compliance detection unit may further include: a standard protection image construction subunit for constructing multi-perspective standard protection images according to the first entry safety monitoring requirements; a consistency comparison subunit for performing consistency comparison of protection features between the first personnel image sequence and the standard protection images. If the consistency comparison passes, the first risk protection outlier is set to 0, otherwise it is set to 1.

[0080] Next, the specific configuration of the second risk protection outlier generation module 50 will be described in detail. As described above, the to-be-executed tasks of the first temporarily risky personnel are read, and the historical personnel behavior monitoring log library of the target power plant is connected to perform outlier detection on the personnel trajectory to generate a second risk protection outlier. The second risk protection outlier generation module 50 may further include: a historical behavior data set generation unit for retrieving in the historical personnel behavior monitoring log library with the to-be-executed tasks and the identity information of the first temporarily risky personnel to generate a historical behavior data set; a judgment unit for judging whether there is an intersection feature that meets the safety distance between the task execution route of the first temporarily risky personnel and the first risk area based on the historical behavior data set, and generating the second risk protection outlier.

[0081] Next, the specific configuration of the verification module 30 will be described in detail. As described above, authorization verification is performed on the first temporarily risky personnel. The verification module 30 may further include: an identity information extraction unit for extracting identity information through the RFID tag or UWB tag carried by the first temporarily risky personnel to generate first identity information; a personnel activity permission constraint extraction unit for obtaining the personnel activity permission constraints corresponding to the multiple risk areas respectively, and extracting the first personnel activity permission constraint corresponding to the first risk area; an authorization verification unit for performing authorization verification on the first identity information with the first personnel activity permission constraint.

[0082] Next, the specific configuration of the power plant BIM model construction module 10 will be described in detail. As described above, the power plant BIM model construction module 10 may further include: the proximity monitoring requirement of unauthorized personnel refers to the early warning distance requirement between the staff without access rights to any risk area and the risk area, and the entry safety monitoring requirement of authorized personnel refers to the self-safety protection requirement of the staff with access rights to any risk area before entering the risk area.

[0083] Among them, after abnormal early warning of the personnel location, the system may further include: a warning response information analysis module for receiving and analyzing warning response information. If no warning is performed on the first risk area and the first temporarily risky personnel, after the first temporarily risky personnel enters the first risk area, the first physiological characteristics and first behavior characteristics of the first temporarily risky personnel in the first risk area are collected; a safety analysis and warning module for performing safety analysis and warning on the first temporarily risky personnel based on the first physiological characteristics and the first behavior characteristics.

[0084] Among them, for the safety analysis and early warning of the first temporarily risky personnel based on the first physiological feature and the first behavioral feature, the safety analysis and early warning module may further include: a feature library construction unit for constructing an operation behavior feature library and a physiological feature library that meet safety requirements based on the task to be executed; a warning trigger analysis unit for inputting the first physiological feature into the physiological feature library for warning trigger analysis to generate a first trigger signal, and inputting the first behavioral feature into the operation behavior feature library for warning trigger analysis to generate a second trigger signal; a warning unit for giving a warning based on the first trigger signal and the second trigger signal.

[0085] The BIM-based power plant personnel location dynamic monitoring and early warning system provided by the embodiments of the present invention can execute the BIM-based power plant personnel location dynamic monitoring and early warning method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0086] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included individual units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for easy distinction from each other and do not limit the protection scope of the present invention.

[0087] The above specific implementation manners do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be executed in a different order from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multi-tasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for dynamically monitoring and warning the positions of power plant personnel based on BIM, characterized in that, Including: For a target power plant, construct the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas respectively, and perform BIM modeling and marking to construct a power plant BIM model; Perform zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and determine the first temporarily risky personnel corresponding to the first risk area in combination with the proximity monitoring requirements marked in the power plant BIM model; Verify whether the first temporarily risky personnel are authorized; If the verification is passed, perform risk protection behavior detection on the first temporarily risky personnel based on the entry safety monitoring requirements to generate a first risk protection anomaly value; If the verification fails, read the tasks to be executed by the first temporarily risky personnel, and connect to the historical personnel behavior monitoring log library of the target power plant to perform anomaly detection on the personnel trajectory to generate a second risk protection anomaly value; Perform anomaly warning on the personnel location with the first risk protection anomaly value or the second risk protection anomaly value.

2. The method for dynamically monitoring and warning the positions of power plant personnel based on BIM according to claim 1, wherein, Performing zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and determining the first temporarily risky personnel corresponding to the first risk area in combination with the proximity monitoring requirements marked in the power plant BIM model, including: Obtain the real-time positions of each staff member in the target power plant through personnel positioning devices; Display the real-time positions of the respective staff members in the power plant BIM model, and determine the mapping relationship between the areas triggering the proximity monitoring requirements and the staff members based on the proximity monitoring requirements of unauthorized personnel in the multiple risk areas marked in the power plant BIM model; Based on the mapping relationship, determine the first risk area and the first temporarily risky personnel.

3. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 2, characterized in that, The personnel positioning device includes an RFID positioning module and a UWB positioning module. Among them, the RFID positioning module includes RFID readers arranged in the target power plant and RFID tags worn by staff members entering the target power plant, and the UWB positioning module includes UWB base stations arranged in the target power plant and UWB tags worn by staff members entering the target power plant; Among them, both the RFID positioning module and the UWB positioning module perform positioning verification within the entire domain of the target power plant. During the personnel positioning process, the RFID positioning module and the UWB positioning module are combined for collaborative positioning to obtain the real-time positions of each staff member.

4. The method for dynamically monitoring and warning the positions of power plant personnel based on BIM according to claim 1, characterized in that, Performing risk protection behavior detection on the first temporarily risky personnel based on the entry safety monitoring requirements to generate a first risk protection anomaly value, including: Connect the intelligent camera in the first risk area to collect image data of the first temporarily risky personnel to generate a first personnel image sequence; Extract the first entry safety monitoring requirements corresponding to the first risk area through the power plant BIM model; Perform compliance detection on the first personnel image sequence for protection with the first entry safety monitoring requirements to generate the first risk protection anomaly value.

5. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 4, characterized in that, Including: Construct a standard protection image with multiple perspectives based on the first entry safety monitoring requirements; Perform a consistency comparison of the protection features between the first personnel image sequence and the standard protection image. If the consistency comparison passes, set the first risk protection outlier to 0; otherwise, set it to 1.

6. The method for dynamically monitoring and warning the positions of power plant personnel based on BIM according to claim 1, characterized in that, Read the tasks to be executed by the first temporarily risky personnel, and connect to the historical personnel behavior monitoring log library of the target power plant to perform anomaly detection on the personnel trajectory, generating a second risk protection outlier, including: Retrieve in the historical personnel behavior monitoring log library using the tasks to be executed and the identity information of the first temporarily risky personnel to generate a historical behavior data set; Based on the historical behavior data set, determine whether there is a cross feature that meets the safety distance between the task execution route of the first temporarily risky personnel and the first risk area, and generate the second risk protection outlier.

7. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 1, characterized in that, Verify whether to authorize the first temporarily risky personnel, including: Extract the identity information through the RFID tag or UWB tag carried by the first temporarily risky personnel to generate the first identity information; Obtain the personnel activity permission constraints corresponding to the multiple risk areas respectively, and extract the first personnel activity permission constraint corresponding to the first risk area; Verify whether to authorize the first identity information based on the first personnel activity permission constraint.

8. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 1, characterized in that The proximity monitoring requirement for unauthorized personnel refers to the early warning distance requirement between the staff without access rights to any risk area and the risk area; The entry safety monitoring requirement for authorized personnel refers to the self-safety protection requirement for the staff with access rights to any risk area before entering the risk area.

9. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 1, characterized in that After performing the anomaly warning for the personnel location, it further includes: Receive and parse the warning response information. If no warning is issued for the first risk area and the first temporarily risky personnel, after the first temporarily risky personnel enters the first risk area, collect the first physiological characteristics and the first behavior characteristics of the first temporarily risky personnel within the first risk area; Perform safety analysis and warning on the first temporarily risky personnel based on the first physiological characteristics and the first behavior characteristics.

10. The BIM-based dynamic monitoring and early warning method for the positions of power plant personnel according to claim 9, wherein, Performing safety analysis and warning on the first temporarily risky personnel based on the first physiological characteristics and the first behavior characteristics includes: Construct an operation behavior feature library and a physiological feature library that meet safety requirements based on the tasks to be executed; Input the first physiological characteristics into the physiological feature library for early warning trigger analysis to generate a first trigger signal; Input the first behavior characteristics into the operation behavior feature library for early warning trigger analysis to generate a second trigger signal; Perform early warning using the first trigger signal and the second trigger signal.

11. The BIM-based dynamic monitoring and early warning system for the location of power plant personnel is characterized in that The system is used to implement the BIM-based dynamic monitoring and early warning method for the location of power plant personnel according to any one of claims 1-10. The system includes: A power plant BIM model construction module, which is used to construct the proximity monitoring requirements for unauthorized personnel and the entry safety monitoring requirements for authorized personnel corresponding to multiple risk areas for the target power plant, perform BIM modeling and marking, and construct a power plant BIM model; The first temporary risk personnel determination module is used to conduct zero-trust personnel monitoring on the multiple risk areas through personnel positioning devices, and determine the first temporary risk personnel corresponding to the first risk area in combination with the monitoring requirements marked in the power plant BIM model; The verification module is used to verify whether the first temporary risk personnel are authorized; The first risk protection outlier generation module is used to, if the verification is passed, detect the risk protection behaviors of the first temporary risk personnel based on the entry safety monitoring requirements, and generate the first risk protection outlier; The second risk protection outlier generation module is used to, if the verification fails, read the to-be-executed tasks of the first temporary risk personnel, and connect to the historical personnel behavior monitoring log library of the target power plant to conduct abnormal detection of personnel trajectories, and generate the second risk protection outlier; The abnormal warning module is used to conduct abnormal warnings of personnel positions with the first risk protection outlier or the second risk protection outlier.

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