Power plant foreign personnel behavior analysis method and system

Abstract

The invention relates to the technical field of power plant monitoring, in particular to a power plant foreign person behavior analysis method and system, and the method comprises the following steps: S100, obtaining the identity information of a to-be-incoming person, and analyzing whether the to-be-incoming person is a foreign person; s200, acquiring abnormal conditions of equipment in the factory; s300, generating an optimal path according to the operation area where each abnormal device is located, and setting a temporary authority of accessing the corresponding operation area for the foreign personnel; s400, monitoring the real-time position of the foreign person, and analyzing the offset between the real-time position and the optimal path; s500, analyzing a path abnormal condition of the foreign personnel, and generating an abnormal behavior risk value; and S600, generating an abnormal prompt. By adopting the scheme, the position of the foreign personnel can be monitored in real time, the path planning and guidance can be performed according to the maintenance requirement in the factory, and meanwhile, the abnormal behavior of the foreign personnel can be identified and alarmed in time by analyzing the deviation between the real-time position of the foreign personnel and the predetermined path.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant monitoring, and in particular to a method and system for analyzing behavior of outsiders in a power plant. Background Art

[0002] As the core component of the power system, power plants undertake the key tasks of power generation and power supply, but their safety issues have always been a major problem in the development of the industry, especially the supervision of outsiders. In the daily operation of power plants, the intervention of external maintenance personnel is inevitable. These personnel are usually not familiar with the internal layout and safety regulations of the power plant, so they may encounter difficulties when performing their tasks, and may even mistakenly enter dangerous or prohibited areas. In other words, the activities of outsiders in power plants are often full of uncertainty and risks. Traditional supervision methods mainly rely on manual monitoring and video recording, which is not only time-consuming and labor-intensive, but also inefficient, and it is difficult to grasp the dynamic information of outsiders in real time and accurately. Once a safety accident occurs, the consequences will be disastrous. In order to ensure that these outsiders can complete their work safely and efficiently while avoiding potential safety risks, an effective method is needed to guide them to act correctly.

[0003] Traditional solutions include providing paper maps or verbal instructions, but these methods have obvious limitations. Paper maps may be inaccurate or outdated, while verbal instructions are prone to misunderstanding. Therefore, it is urgent to provide a method for analyzing the behavior of outsiders in power plants, which can monitor the location of outsiders in real time, plan and guide routes according to the maintenance needs within the plant, and at the same time, timely identify abnormal behaviors of outsiders by analyzing the deviation between the real-time location of outsiders and the predetermined route, and issue abnormal alarms based on the risk value of abnormal behavior. Summary of the invention

[0004] The present invention provides a method and system for analyzing the behavior of outsiders in a power plant, which can monitor the location of outsiders in real time, and plan and guide paths according to the maintenance needs within the plant. At the same time, by analyzing the deviation between the real-time location of outsiders and the predetermined path, the abnormal behavior of outsiders can be identified in time, and abnormal alarms can be issued based on the risk value of abnormal behavior.

[0005] The present invention provides a basic solution 1:

[0006] A method for analyzing behavior of outsiders in a power plant comprises the following steps:

[0007] S100, obtaining identity information of a person to be admitted to the factory, analyzing whether the person to be admitted to the factory is an outsider, and if so, jumping to S200;

[0008] S200, obtaining abnormal conditions of equipment in the factory; the abnormal conditions of equipment include the operating areas where each abnormal equipment is located;

[0009] S300, generating an optimal path according to the operation area where each abnormal device is located, and setting temporary permission for the outsider to access the corresponding operation area;

[0010] S400, monitoring the real-time position of the outsider, and analyzing the offset between the real-time position and the optimal path;

[0011] S500, analyzing the path abnormality of the outsider according to the real-time location of the outsider and the offset between the real-time location and the optimal path, and generating an abnormal behavior risk value.

[0012] Furthermore, S400 also includes: analyzing the turning intersections in the optimal path and obtaining the position data of each turning intersection; monitoring the real-time position of the outsider, and if the distance between the real-time position of the outsider and the turning intersection is less than a preset turning distance, projecting a turning mark onto the road surface.

[0013] Furthermore, S500 includes:

[0014] S501, analyzing whether the offset between the real-time position of the outsider and the optimal path exceeds a preset offset, and if so, retrieving the image of the outsider behind the projected turning mark;

[0015] S502, analyzing the gaze position of the outsider according to the outsider image;

[0016] S503, analyzing the time the outsider gazes at the turn sign on the road according to the gaze position of the outsider;

[0017] S504, analyzing the alert level of each operating area within a preset range according to the real-time location of the outsider;

[0018] S505, analyzing the abnormality of the outsider's path and generating an abnormal behavior risk value based on the time the outsider looks at the turn sign on the road, the alert level of each work area within a preset range, and the offset between the real-time position and the optimal path.

[0019] Furthermore, the calculation formula of the abnormal behavior risk value is as follows:

[0020]

[0021] Where R is the risk value of abnormal behavior, t is the time that the outsider looks at the turn sign on the road, and A i is the alert level of the operation area i, n is the number of operation areas within the preset range, f(d i) is the risk distance weighting function, d i is the distance between the real-time location of the outsider and the operation area i, p is the offset between the real-time location of the outsider and the optimal path; α is the time influence coefficient, β i is the influence coefficient of the alert level, γ is the influence coefficient of the distance, and δ is the influence coefficient of the offset.

[0022] Furthermore, the device abnormality also includes the device type of each abnormal device;

[0023] S300 includes:

[0024] S301, generating an optimal path according to the operation area where each abnormal device is located;

[0025] S302, analyzing the professional field of the outsider according to the identity information of the outsider;

[0026] S303, analyzing the professional skills required to repair each abnormal device according to the device type of the abnormal device;

[0027] S304: Analyze whether the outsider has the professional skills required to repair the abnormal equipment according to the outsider's professional field. If so, set temporary permission for the outsider to access the corresponding work area.

[0028] Furthermore, S100 includes:

[0029] S101, obtaining a facial image of a person waiting to enter the factory;

[0030] S102, calling a preset face database, wherein the face database stores face data of a number of staff members;

[0031] S103, comparing the face image of the person to be admitted with each face data in the face database, analyzing whether the person to be admitted is a staff member, if not, determining that the person to be admitted is an outsider, and jumping to S200.

[0032] Furthermore, the method further includes S600: generating an abnormal prompt according to the abnormal behavior risk value.

[0033] The second basic solution provided by the present invention is a power plant outsider behavior analysis system, which uses the above-mentioned power plant outsider behavior analysis method.

[0034] The principle and advantage of the present invention are: in order to solve the problem that when the equipment in the factory needs external maintenance personnel to enter the factory for maintenance, the outsiders are not familiar with the layout of the factory. In this solution, the operating area where each abnormal equipment is located is first located, and then the optimal path is generated. At each turning intersection, clear turning signs are projected onto the road surface for the outsiders, and the correct route is guided to the outsiders in an intuitive way, avoiding wasting time and energy due to getting lost or misjudging the direction. In addition, this solution will also conduct safety monitoring for outsiders. Specifically, according to the time the outsiders look at the turning signs on the road surface, the alert level of each operating area within the preset range, and the offset between the real-time position and the optimal path, the path abnormality of the outsiders is analyzed, and the abnormal behavior risk value is generated to realize the identification and judgment of the abnormal behavior of the outsiders, so as to generate prompts in time when there are abnormalities to ensure the safety of the factory area. In addition, this solution also has an intelligent permission management function, which analyzes whether outsiders have the professional skills required to repair the abnormal equipment. If it is confirmed that outsiders have the corresponding professional skills, the system will set temporary permissions for them to access the corresponding work area. This can not only ensure that outsiders can smoothly enter the work area for maintenance work, but also prevent unrelated personnel from mixing into the work area in the factory and avoid potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The present invention is a flow chart of an embodiment of a method for analyzing behavior of outsiders in a power plant. DETAILED DESCRIPTION

[0036] The following is further described in detail through specific implementation methods:

[0037] Embodiment 1:

[0038] A method for analyzing the behavior of outsiders in a power plant, such as Figure 1 As shown, the following steps are included:

[0039] S100, obtaining the identity information of the person to be admitted to the factory, analyzing whether the person to be admitted to the factory is an outsider, and if so, jumping to S200. Specifically, S100 includes:

[0040] S101, acquiring facial images of personnel waiting to enter the plant; in this embodiment, a camera installed at the gate of the power plant is used to collect facial images of each person waiting to enter the plant.

[0041] S102, calling a preset face database, wherein the face database stores face data of several staff members.

[0042] S103, compare the facial image of the person to be admitted with the facial data in the facial database, and analyze whether the person to be admitted is a staff member. If the facial image of the person to be admitted and the facial data of any staff member in the facial database match to a preset value, the identity information of the corresponding person to be admitted is determined to be a staff member and is released directly; otherwise, the corresponding person to be admitted is determined to be an outsider, and the appointment list in the appointment entry record is retrieved to analyze whether the corresponding outsider is on the appointment list. If not, the person to be admitted is not released; if so, a special safety helmet is provided for the corresponding outsider, and the process jumps to S200 to obtain abnormal conditions of equipment in the factory.

[0043] After confirming that the person to be admitted is an outsider, a full-body image of the corresponding outsider is obtained, and the outsider's clothing is analyzed based on the full-body image; specifically, the characteristic data of the corresponding professional clothing in the pre-stored several occupations is compared with the characteristic data of the outsider's clothing, and the corresponding occupation determination result is output based on the comparison result, and the identity information of the corresponding outsider is determined as the corresponding occupation determination result. In this embodiment, the outsider is only for outside maintenance personnel. In other embodiments of the present application, path planning, positioning tracking and risk determination can also be performed according to the intentions of other outsiders.

[0044] S200, obtaining abnormal conditions of equipment in the factory; the abnormal conditions of equipment include the operating area where each abnormal equipment is located and the equipment type and maintenance urgency of the corresponding abnormal equipment. In this embodiment, the abnormal equipment involved in the appointment reason in the appointment record is not directly obtained, but the real-time abnormal conditions of the equipment are obtained. The principle is that after the equipment originally planned for maintenance reports an abnormality, it takes a certain amount of time for external maintenance personnel to arrive. During this period of time, other equipment is still running, and new abnormal conditions may occur in new equipment. Therefore, obtaining real-time abnormal conditions of equipment is conducive to planning maintenance routes.

[0045] S300, generating an optimal path according to the operation area where each abnormal device is located, and setting temporary permissions for the outsider to access the corresponding operation area. S300 includes:

[0046] S301, generate an optimal path according to the operating area where each abnormal device is located. Specifically, if the number of abnormal devices is one, directly use the factory gate as the starting point and the operating area where each abnormal device is located as the end point to generate the shortest path; if the number of abnormal devices is greater than or equal to two, the operating area where each abnormal device is located is set as a waypoint, and the ant colony algorithm is used to plan the shortest path as the optimal path; in other embodiments of the present application, path planning can also be performed according to the maintenance urgency of each abnormal device, and abnormal devices with high maintenance urgency are repaired first.

[0047] S302, analyzing the professional field of the outsider according to the identity information of the outsider; specifically, analyzing the professional field of the outsider according to the occupation determination result of the outsider. In this embodiment, the occupation determination result includes mechanical maintenance personnel, electrical maintenance personnel and automation equipment maintenance personnel. The professional field corresponding to the mechanical maintenance personnel is the fault diagnosis and maintenance of mechanical equipment, including the maintenance of mechanical equipment such as pumps, fans, compressors, etc.; the professional field of the electrical maintenance personnel is the fault handling of electrical control systems, including the maintenance and debugging of components such as push button switches, relays, contactors, motors, and frequency converters; the professional field of the automation equipment maintenance personnel is the fault maintenance of various equipment in the automated production line, including the maintenance and debugging of components such as touch screens, PLCs, servo drives, and circuit boards.

[0048] S303, analyzing the professional skills required to repair the abnormal equipment according to the equipment type of each abnormal equipment; in this embodiment, the equipment types include mechanical equipment, electrical equipment and automation equipment, and the corresponding required professional skills are fault diagnosis and repair of mechanical equipment, fault handling of electrical control systems and fault repair of various equipment in the automated production line.

[0049] S304: Analyze whether the outsider has the professional skills required to repair the abnormal equipment according to the outsider's professional field. If so, set temporary permissions for the outsider to access the corresponding work area. This can not only ensure that outsiders can smoothly enter the work area for maintenance work, but also prevent irrelevant personnel from entering the work area in the factory area, avoiding potential safety hazards.

[0050] S400, monitor the real-time position of the outsider and analyze the offset between the real-time position and the optimal path; in this embodiment, a positioning device is provided on the special safety helmet, and the real-time position of the outsider is obtained through the positioning device, and the shortest distance between the real-time position and the optimal path is recorded as the offset.

[0051] Analyze the turning intersections in the optimal path and obtain the position data of each turning intersection; monitor the real-time position of the outsider, and if the distance between the real-time position of the outsider and the turning intersection is less than the preset turning distance, project the turning mark onto the road surface. In this embodiment, all intersections with forks are determined to be turning intersections, that is, even if you go straight at the intersection, you need to project the turning mark for going straight onto the road surface; specifically, analyze the turning direction at each turning intersection, and when the distance between the real-time position of the outsider and the turning intersection is less than the preset turning distance, project the turning mark of the corresponding turning direction onto the road surface; in this embodiment, the special safety helmet is provided with a projection device, and the turning mark is projected onto the road surface by the projection device. Compared with setting a fixed projection device at the intersection, this method can guide multiple outsiders who need path guidance at the same time.

[0052] S500: Analyze the abnormality of the path of the outsider according to the real-time location of the outsider and the offset between the real-time location and the optimal path, and generate an abnormal behavior risk value. Specifically, S500 includes:

[0053] S501, analyzing whether the offset between the real-time position of the outsider and the optimal path exceeds the preset offset. If so, retrieve the image of the outsider behind the projected turn sign; S502, analyzing the gaze position of the outsider based on the image of the outsider; S503, analyzing the time the outsider stares at the turn sign on the road based on the gaze position of the outsider. In this embodiment, the preset offset is 20 meters. When the offset exceeds 20 meters, retrieve the environmental image collected by the camera set at the corresponding turning intersection, and combine the environmental image and the image of the outsider in the environmental image to analyze the gaze position of the outsider, and record the time when the gaze position of the outsider coincides with the turn sign on the ground.

[0054] S504, according to the real-time location of the outsider, analyze the alert level of each operating area within the preset range; in this embodiment, the real-time location of the outsider is set as the center, and the range within a radius of 200 meters is set as the preset range. There are multiple operating areas in the factory area, and each operating area is set with a corresponding alert level. Obtaining the alert level of each operating area within the preset range is conducive to risk analysis.

[0055] S505: Analyze the abnormality of the outsider's path and generate an abnormal behavior risk value based on the time the outsider looks at the turn sign on the road, the alert level of each work area within the preset range, and the offset between the real-time position and the optimal path. The calculation formula of the abnormal behavior risk value is as follows:

[0056]

[0057] Where R is the risk value of abnormal behavior, t is the time that the outsider looks at the turn sign on the road, and A i is the alert level of the operation area i, n is the number of operation areas within the preset range, f(d i ) is the risk distance weighting function, d i is the distance between the real-time location of the outsider and the operation area i, p is the offset between the real-time location of the outsider and the optimal path; α is the time influence coefficient, β i is the influence coefficient of the alert level, γ is the influence coefficient of the distance, and δ is the influence coefficient of the offset.

[0058] S600: Generate an abnormal prompt according to the abnormal behavior risk value. Thus, the identification and determination of abnormal behavior of outsiders are realized, so that prompts are issued in time when abnormalities occur, ensuring the safety of outsiders and the factory area.

[0059] A power plant outsider behavior analysis system uses the power plant outsider behavior analysis method.

[0060] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for analyzing the behavior of outsiders in a power plant, characterized by: The following steps are involved: S100, obtaining identity information of a person to be admitted to the factory, analyzing whether the person to be admitted to the factory is an outsider, and if so, jumping to S200; S200, obtaining abnormal conditions of equipment in the factory; the abnormal conditions of equipment include the operating areas where each abnormal equipment is located; S300, generating an optimal path according to the operation area where each abnormal device is located, and setting temporary permission for the outsider to access the corresponding operation area; S400, monitoring the real-time position of the outsider, and analyzing the offset between the real-time position and the optimal path; S500, analyzing the path abnormality of the outsider according to the real-time location of the outsider and the offset between the real-time location and the optimal path, and generating an abnormal behavior risk value.

2. The method for analyzing behavior of outsiders in a power plant according to claim 1, characterized in that: S400 also includes: analyzing the turning intersections in the optimal path and obtaining the position data of each turning intersection; monitoring the real-time position of the outsider, and if the distance between the real-time position of the outsider and the turning intersection is less than a preset turning distance, projecting a turning mark onto the road surface.

3. The method for analyzing behavior of outsiders in a power plant according to claim 2, characterized in that: S500 includes: S501, analyzing whether the offset between the real-time position of the outsider and the optimal path exceeds a preset offset, and if so, retrieving the image of the outsider behind the projected turning mark; S502, analyzing the gaze position of the outsider according to the outsider image; S503, analyzing the time the outsider gazes at the turn sign on the road according to the gaze position of the outsider; S504, analyzing the alert level of each operating area within a preset range according to the real-time location of the outsider; S505, analyzing the abnormality of the outsider's path and generating an abnormal behavior risk value based on the time the outsider looks at the turn sign on the road, the alert level of each work area within a preset range, and the offset between the real-time position and the optimal path.

4. The method for analyzing behavior of outsiders in a power plant according to claim 3, characterized in that: The calculation formula of the abnormal behavior risk value is as follows: Where R is the risk value of abnormal behavior, t is the time that the outsider looks at the turn sign on the road, and A i is the alert level of the operating area i, n is the number of operating areas within the preset range, f(d i ) is the risk distance weighting function, d i is the distance between the real-time location of the outsider and the operation area i, p is the offset between the real-time location of the outsider and the optimal path; α is the time influence coefficient, β i is the influence coefficient of the alert level, γ is the influence coefficient of the distance, and δ is the influence coefficient of the offset.

5. The method for analyzing behavior of outsiders in a power plant according to claim 1, characterized in that: The device abnormality also includes the device type of each abnormal device; S300 includes: S301, generating an optimal path according to the operation area where each abnormal device is located; S302, analyzing the professional field of the outsider according to the identity information of the outsider; S303, analyzing the professional skills required to repair each abnormal device according to the device type of the abnormal device; S304: Analyze whether the outsider has the professional skills required to repair the abnormal equipment according to the outsider's professional field. If so, set temporary permission for the outsider to access the corresponding work area.

6. The method for analyzing behavior of outsiders in a power plant according to claim 1, characterized in that: S100 includes: S101, obtaining a facial image of a person waiting to enter the factory; S102, calling a preset face database, wherein the face database stores face data of a number of staff members; S103, comparing the facial image of the person to be admitted with the facial data in the facial database, analyzing whether the person to be admitted is a staff member, if not, determining that the person to be admitted is an outsider, and jumping to S200.

7. The method for analyzing behavior of outsiders in a power plant according to claim 1, characterized in that: The method also includes S600: generating an abnormality prompt according to the abnormal behavior risk value.

8. A power plant outsider behavior analysis system, characterized by: The method for analyzing the behavior of outsiders in a power plant as described in any one of claims 1 to 7 is used.

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