Personnel assessment method and system for thermal power plant area

Abstract

The invention provides a personnel assessment method and system for a thermal power plant district, and the method comprises the steps: obtaining the position of a worker at each time point in a day based on preset monitoring equipment, and determining a track matrix of the worker; determining an actual matrix of a working group based on the track matrix of all the working personnel in the working group where the working personnel are located; based on the actual working group matrix and a preset working group standard matrix, judging whether working group abnormity occurs or not; if the working group is not abnormal, respectively calculating a first similarity and a second similarity between the track matrix of the working personnel in the working group and the working group actual matrix and the working group standard matrix; and judging whether a single person is abnormal or not based on the first similarity and the second similarity, if the single person is abnormal, comparing the track matrix of the worker with the working group standard matrix, determining an abnormal time point of the worker, and reporting the abnormal time point.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant management, and in particular to a personnel assessment method and system for a thermal power plant area. Background Art

[0002] As the core link of power production, the efficient, safe, and continuous operation of a thermal power plant plays an irreplaceable role in national energy security and social and economic development. And the cornerstone of all this is personnel management. The operation of a thermal power plant involves complex mechanical equipment, high-temperature and high-pressure environments, and strict operating procedures. Any oversight in any link may lead to serious safety accidents.

[0003] With the progress of technology and the development of the industry, thermal power plants are gradually transforming towards intelligence and automation. This requires power plant personnel to not only have solid professional skills but also continuously learn new knowledge and new technologies to meet the needs of industry transformation.

[0004] In summary, the importance of personnel management and assessment in thermal power plants is self-evident. It is the key to ensuring the safe and stable operation of power plants, improving production efficiency, and promoting industry development. Only by attaching great importance to and continuously optimizing personnel management and assessment can we inject strong impetus into the sustainable development of thermal power plants.

[0005] In view of this, the present invention is proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a personnel assessment method and system for a thermal power plant area. On the one hand, this solution can achieve intelligent supervision of staff through the trajectory matrix of the staff, and only needs to be statistically analyzed through one trajectory matrix, reducing the storage pressure; on the other hand, it can identify the situations of abnormal workgroups and single-person abnormalities, realize intelligent assessment of thermal power plant staff, and can also provide high reference value for supervisors.

[0007] The present invention provides a personnel assessment method for a thermal power plant area, and the steps of the method include:

[0008] Based on preset monitoring devices, obtain the positions of the staff at each time point in a day, and determine the trajectory matrix of the staff;

[0009] Based on the trajectory matrices of all staff in the workgroup where the staff is located, determine the actual matrix of the workgroup;

[0010] Based on the actual matrix of the workgroup and the preset standard matrix of the workgroup, determine whether there is an abnormal workgroup;

[0011] If no work group anomalies are found, calculate the first and second similarities between the trajectory matrix of the staff in the work group and the actual matrix and standard matrix of the work group, respectively.

[0012] Based on the first and second similarity scores, it is determined whether a single person is abnormal. If a single person is abnormal, the trajectory matrix of that person is compared with the standard matrix of the work group to determine the abnormal time point of that person and report it.

[0013] Using the above-mentioned scheme, this solution determines the location of construction site workers at each time point through installed monitoring equipment and pedestrian re-identification technology, and compiles the actual matrix of the corresponding work groups. Since each work group is responsible for different tasks, each work group has a different preset standard matrix. The scheme calculates the trajectory matrix of workers, the standard matrix of work groups, and the actual matrix of work groups to determine the abnormality of work groups and individual personnel. On the one hand, this solution can achieve intelligent supervision of workers through the trajectory matrix of workers, and only requires the statistical analysis of one trajectory matrix, reducing storage pressure. On the other hand, it can identify abnormalities of work groups and individual personnel, realize intelligent assessment of thermal power plant workers, and provide high reference value for supervisors.

[0014] In some embodiments of the present invention, each row of the trajectory matrix corresponds to a time point, and each column of the estimation matrix corresponds to a scene location. In the step of obtaining the location of the staff member at each time point of the day based on the preset monitoring equipment and determining the trajectory matrix of the staff member, the scene location of the staff member at each time point is determined by ReID technology and constructed as a trajectory matrix.

[0015] In the specific implementation process, if the ReID technology determines that a worker is in a scene location at a certain point in time, then the value is set to 1 at the corresponding position in the trajectory matrix, and the value is set to 0 at other positions in the same row.

[0016] The above scheme uses ReID technology to identify the location of staff at each time point, and sets corresponding matrix positions for each work position at each time point in the trajectory matrix. If a staff member appears in any position, it can be marked with a numerical value at the corresponding position in the matrix. This scheme can represent the trajectory of staff members in a matrix manner, reducing storage pressure and facilitating subsequent calculations.

[0017] In some embodiments of the present invention, in the step of determining the actual matrix of the work group based on the trajectory matrix of all workers in the work group to which the worker belongs, the mean value of each position in the trajectory matrix corresponding to each worker in the work group is calculated to obtain the actual matrix of the work group.

[0018] In the specific implementation process, the mean value of each position in the trajectory matrix corresponding to each staff member in the working group is calculated to obtain the actual matrix of the working group. The value of each position in the actual matrix of the working group is between 0 and 1.

[0019] In some embodiments of the present invention, in the step of determining whether a workgroup is abnormal based on the actual workgroup matrix and the preset standard workgroup matrix, the distance value between the actual workgroup matrix and the preset standard workgroup matrix is ​​calculated. If the distance value is greater than a preset first threshold, the workgroup is determined to be abnormal.

[0020] Using the above scheme, this scheme measures the distance between the actual matrix of the work group and the preset standard matrix of the work group. If the distance is too large, it indicates that the entire work group has deviated from the predetermined work trajectory, indicating that the entire work group has become abnormal, and thus a work group abnormality is determined.

[0021] In some embodiments of the present invention, in the steps of calculating the first similarity and the second similarity between the trajectory matrix of the staff in the working group and the actual matrix and the standard matrix of the working group respectively, the first distance value between the trajectory matrix of the staff in the working group and the actual matrix of the working group and the second distance value between the trajectory matrix of the staff and the standard matrix of the working group are calculated, the reciprocal of the first distance value is calculated as the first similarity, and the reciprocal of the second distance value is calculated as the second similarity.

[0022] In some embodiments of the present invention, in the step of determining whether a single-person anomaly has occurred based on a first similarity and a second similarity, similarity coordinate points are constructed based on the first similarity and the second similarity, and the distance between the similarity coordinate points and the origin of the coordinates is used to determine whether a single-person anomaly has occurred.

[0023] In some embodiments of the present invention, in the step of constructing similarity coordinate points based on the first similarity and the second similarity, and determining whether a single-person anomaly has occurred based on the distance between the similarity coordinate points and the origin, the value of the first similarity is used as the value of the horizontal axis, the value of the second similarity is used as the value of the vertical axis, and the similarity coordinate points corresponding to the staff member are constructed. The distance between the similarity coordinate points and the origin is used to determine whether a single-person anomaly has occurred.

[0024] Using the above scheme, the first similarity value is used as the x-axis value and the second similarity value is used as the y-axis value to construct the similarity coordinate point of the staff member. The distance between the similarity coordinate point and the origin is calculated. If the distance value is small, it means that the staff member is inconsistent with both the standard trajectory and the actual trajectory of the work group. This indicates that the staff member may have left the work group alone, and this situation is identified as a single person anomaly.

[0025] In some embodiments of the present invention, in the step of comparing the worker's trajectory matrix with the work group's standard matrix to determine the worker's abnormal time points and reporting them:

[0026] The trajectory matrix is ​​compared row by row with the standard matrix of the working group. In the comparison of each row, it is determined whether the corresponding vectors of each row are the same.

[0027] If so, then the time point corresponding to that row is determined not to be an abnormal time point;

[0028] If not, then the time point corresponding to that row is determined to be an abnormal time point.

[0029] Using the above scheme, the standard matrix of the work group records the predetermined work trajectory of the staff in the work group. That is, the position of each time point in the work trajectory is recorded with a value in the corresponding position of the standard matrix of the work group. This scheme compares the trajectory matrix with the standard matrix of the work group row by row, that is, compares the trajectories of the two to determine the abnormal situation of the staff at each time point, thereby improving the calculation efficiency of trajectory comparison.

[0030] In some embodiments of the present invention, the step of comparing the worker's trajectory matrix with the work group's standard matrix to determine the worker's abnormal time points and reporting them further includes:

[0031] Construct a time period from consecutive abnormal time points of the employee, determine the abnormal time period of the employee, and count the location of the employee within the abnormal time period and report it.

[0032] Using the above solution, since individual time point anomalies are often due to occasional situations involving staff, such as temporary scheduling, this solution constructs consecutive time points within the anomaly into a time period and counts the location of the staff member within that time period. Since a time period has a large span, if a staff member remains in one location continuously, it indicates that the staff member may have abandoned their post. The above solution ensures effective management of staff.

[0033] Another aspect of the present invention relates to an electronic device having a computer program stored thereon, which, when executed by a processor, implements the steps of the aforementioned personnel assessment method for thermal power plant areas.

[0034] Another aspect of the present invention relates to a personnel assessment system for thermal power plant areas. The system includes a computer device, which includes a processor and a memory. The memory stores computer instructions, and the processor executes the computer instructions stored in the memory. When the computer instructions are executed by the processor, the system implements the steps of the method.

[0035] In summary, the present invention has the following beneficial effects:

[0036] 1. This solution uses installed monitoring equipment and pedestrian re-identification technology to determine the location of workers at each construction site at any given time, and compiles the actual matrix of the corresponding work groups. Since each work group has different responsibilities, each work group has a different preset standard matrix. By calculating the worker trajectory matrix, the work group standard matrix, and the work group actual matrix, the solution can determine work group anomalies and individual worker anomalies. This solution can achieve intelligent supervision of workers through the worker trajectory matrix, and only requires one trajectory matrix for statistics, reducing storage pressure. On the other hand, it can identify work group anomalies and individual worker anomalies, enabling intelligent assessment of thermal power plant workers and providing high reference value for supervisors.

[0037] 2. This solution uses ReID technology to identify the location of staff at each time point, and sets corresponding matrix positions for each work position at each time point in the trajectory matrix. If a staff member appears in any position, it can be marked with a numerical value at the corresponding position in the matrix. This solution can represent the trajectory of staff members in a matrix manner, reducing storage pressure and facilitating subsequent calculations.

[0038] 3. This solution uses the distance between the actual matrix of the work group and the preset standard matrix of the work group. If the distance is too large, it indicates that the entire work group has deviated from the predetermined work trajectory, indicating that the entire work group has become abnormal, and thus a work group abnormality is determined.

[0039] 4. This scheme uses the first similarity value as the x-axis value and the second similarity value as the y-axis value to construct the similarity coordinate point of the male staff member. The distance between the similarity coordinate point and the origin is calculated. If the distance value is small, it means that the staff member is inconsistent with both the standard trajectory and the actual trajectory of the work group. This means that the staff member may have left the work group alone. This situation is identified as single-person anomaly. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1This is a schematic diagram of one embodiment of the personnel assessment method of the present invention used in thermal power plant areas;

[0042] Figure 2 This is a schematic diagram of another embodiment of the personnel assessment method of the present invention used in thermal power plant areas. Detailed Implementation

[0043] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0044] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms “a,” “the,” and “the” used in this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0045] like Figure 1 As shown, the present invention provides a method for personnel assessment in thermal power plant areas, the method comprising the following steps:

[0046] Step S100: Based on the preset monitoring equipment, obtain the location of the staff member at each time point of the day and determine the staff member's trajectory matrix;

[0047] In practical implementation, monitoring images are acquired using surveillance equipment. The ReID (Recognition of Individuals) feature vector of the worker is then identified from these images and used as the worker's feature vector. Specifically, ReID is a computer vision technology designed to identify the same pedestrian from different camera perspectives. Essentially, it uses algorithms to find targets in an image database and extracts and matches features based on the pedestrian's clothing, accessories, and posture; it falls under the category of image retrieval problems. ReID technology is widely used in video surveillance, intelligent transportation, and facial recognition, effectively improving the intelligence level of monitoring systems and enhancing public safety and traffic efficiency.

[0048] Step S200: Determine the actual matrix of the work group based on the trajectory matrix of all staff members in the work group to which the staff member belongs;

[0049] In the specific implementation process, the actual matrix of the working group is constructed by combining the trajectory matrix of all staff members in the working group.

[0050] Step S300: Determine whether a workgroup anomaly has occurred based on the actual workgroup matrix and the preset standard workgroup matrix;

[0051] In the specific implementation process, the actual matrix of the working group represents the working trajectory of the working group, and the standard matrix of the working group is the matrix corresponding to the standard working trajectory of the working group. The two are compared to determine whether an abnormality of the working group has occurred.

[0052] Step S400: If no abnormality is found in the work group, calculate the first similarity and the second similarity between the trajectory matrix of the staff in the work group and the actual matrix and standard matrix of the work group, respectively.

[0053] Step S500: Based on the first similarity and the second similarity, determine whether there is a single person anomaly. If there is a single person anomaly, compare the trajectory matrix of the staff member with the standard matrix of the work group to determine the abnormal time point of the staff member and report it.

[0054] In practice, in the absence of any abnormalities in the work group, each individual staff member is assessed separately to determine whether they are working properly, thus ensuring effective staff management.

[0055] Using the above-mentioned scheme, this solution determines the location of construction site workers at each time point through installed monitoring equipment and pedestrian re-identification technology, and compiles the actual matrix of the corresponding work groups. Since each work group is responsible for different tasks, each work group has a different preset standard matrix. The scheme calculates the trajectory matrix of workers, the standard matrix of work groups, and the actual matrix of work groups to determine the abnormality of work groups and individual personnel. On the one hand, this solution can achieve intelligent supervision of workers through the trajectory matrix of workers, and only requires the statistical analysis of one trajectory matrix, reducing storage pressure. On the other hand, it can identify abnormalities of work groups and individual personnel, realize intelligent assessment of thermal power plant workers, and provide high reference value for supervisors.

[0056] In some embodiments of the present invention, each row of the trajectory matrix corresponds to a time point, and each column of the estimation matrix corresponds to a scene location. In the step of obtaining the location of the staff member at each time point of the day based on the preset monitoring equipment and determining the trajectory matrix of the staff member, the scene location of the staff member at each time point is determined by ReID technology and constructed as a trajectory matrix.

[0057] In the actual implementation process, at least one camera is set up for each scene location. The camera captures images to determine whether each staff member is in that location.

[0058] The above scheme uses ReID technology to identify the location of staff at each time point, and sets corresponding matrix positions for each work position at each time point in the trajectory matrix. If a staff member appears in any position, it can be marked with a numerical value at the corresponding position in the matrix. This scheme can represent the trajectory of staff members in a matrix manner, reducing storage pressure and facilitating subsequent calculations.

[0059] In some embodiments of the present invention, in the step of determining the actual matrix of the work group based on the trajectory matrix of all workers in the work group to which the worker belongs, the mean value of each position in the trajectory matrix corresponding to each worker in the work group is calculated to obtain the actual matrix of the work group.

[0060] In some embodiments of the present invention, in the step of determining whether a workgroup is abnormal based on the actual workgroup matrix and the preset standard workgroup matrix, the distance value between the actual workgroup matrix and the preset standard workgroup matrix is ​​calculated. If the distance value is greater than a preset first threshold, the workgroup is determined to be abnormal.

[0061] In practice, the distance between matrices can be calculated using methods such as Euclidean distance or cosine distance.

[0062] In practice, the standard matrix of the working group is a matrix that is pre-set for the working group and corresponds to the standard operating trajectory of the working group.

[0063] In the specific implementation process, the distance between the actual matrix of the working group and the preset standard matrix of the working group is calculated. If the distance is not greater than the preset first threshold, it is determined that no working group abnormality has occurred.

[0064] Using the above scheme, this scheme measures the distance between the actual matrix of the work group and the preset standard matrix of the work group. If the distance is too large, it indicates that the entire work group has deviated from the predetermined work trajectory, indicating that the entire work group has become abnormal, and thus a work group abnormality is determined.

[0065] In some embodiments of the present invention, in the steps of calculating the first similarity and the second similarity between the trajectory matrix of the staff in the working group and the actual matrix and the standard matrix of the working group respectively, the first distance value between the trajectory matrix of the staff in the working group and the actual matrix of the working group and the second distance value between the trajectory matrix of the staff and the standard matrix of the working group are calculated, the reciprocal of the first distance value is calculated as the first similarity, and the reciprocal of the second distance value is calculated as the second similarity.

[0066] In some embodiments of the present invention, in the step of determining whether a single-person anomaly has occurred based on a first similarity and a second similarity, similarity coordinate points are constructed based on the first similarity and the second similarity, and the distance between the similarity coordinate points and the origin of the coordinates is used to determine whether a single-person anomaly has occurred.

[0067] In the specific implementation process, since the personnel trajectory statistics of this plan are composed of statistics of multiple single time points, if a staff member has an abnormality at a single time point, it may be an accidental abnormality of the staff member, such as a sudden event. Therefore, this plan constructs the consecutive time points of the abnormal time points of the staff member into a time period, determines the abnormal time period of the staff member, and improves the accuracy of personnel assessment.

[0068] In some embodiments of the present invention, in the step of constructing similarity coordinate points based on the first similarity and the second similarity, and determining whether a single-person anomaly has occurred based on the distance between the similarity coordinate points and the origin, the value of the first similarity is used as the value of the horizontal axis, the value of the second similarity is used as the value of the vertical axis, and the similarity coordinate points corresponding to the staff member are constructed. The distance between the similarity coordinate points and the origin is used to determine whether a single-person anomaly has occurred.

[0069] In the specific implementation process, in the step of determining whether a single person anomaly has occurred based on the distance between the similarity coordinate point and the origin, if the distance between the similarity coordinate point and the origin is greater than the preset coordinate distance threshold, then a single person anomaly is determined to have occurred.

[0070] In the specific implementation process, the horizontal coordinate of the similar coordinate point represents the degree of deviation of the staff member from the standard trajectory, and the vertical coordinate of the similar coordinate point represents the degree of deviation of the staff member from the actual work group trajectory. This scheme combines the above two degrees of deviation to determine whether a single person's abnormality has occurred.

[0071] Using the above scheme, the first similarity value is used as the x-axis value and the second similarity value is used as the y-axis value to construct the similarity coordinate point of the male staff member. The distance between the similarity coordinate point and the origin is calculated. If the distance value is small, it indicates that the staff member's trajectory is inconsistent with both the standard trajectory and the actual trajectory of the work group. This indicates that the staff member may have left the work group alone, and this situation is identified as a single person anomaly.

[0072] like Figure 2 As shown, in some embodiments of the present invention, the step of comparing the worker's trajectory matrix with the work group's standard matrix to determine the worker's abnormal time points and reporting them includes:

[0073] Step S510: Compare the trajectory matrix with the working group standard matrix row by row. In the comparison of each row, determine whether the corresponding vectors of each row are the same.

[0074] Step S511: If yes, then determine that the time point corresponding to the row is not an abnormal time point;

[0075] Step S512: If not, then determine that the time point corresponding to the row is an abnormal time point.

[0076] In the specific implementation process, during the comparison of each row, in the process of determining whether the corresponding vectors in each row are the same, if the position of the value 1 in the two vectors is the same, it means that the two vectors are the same.

[0077] Using the above scheme, the standard matrix of the work group records the predetermined work trajectory of the staff in the work group. That is, the position of each time point in the work trajectory is recorded with a value in the corresponding position of the standard matrix of the work group. This scheme compares the trajectory matrix with the standard matrix of the work group row by row, that is, compares the trajectories of the two to determine the abnormal situation of the staff at each time point, thereby improving the calculation efficiency of trajectory comparison.

[0078] In some embodiments of the present invention, the step of comparing the worker's trajectory matrix with the work group's standard matrix to determine the worker's abnormal time points and reporting them further includes:

[0079] Step S520: Construct a time period from consecutive time points in the abnormal time points of the staff member, determine the abnormal time period of the staff member, and count the location of the staff member within the abnormal time period and report it.

[0080] In the specific implementation process, in the step of constructing a time period from consecutive time points in the abnormal time points of the staff member, the row corresponding to each time point is compared one by one. When an abnormal time period is determined, the determination of the abnormal time period is activated. If the next time point is also determined to be an abnormal time point, then two consecutive abnormal time points are constructed into an abnormal time period. If the next time point is also determined to be an abnormal time point, then the abnormal time period is extended until the next time point is not an abnormal time point, and then the determination of the abnormal time period ends.

[0081] Using the above solution, since individual time point anomalies are often due to occasional situations involving staff, such as temporary scheduling, this solution constructs consecutive time points within the anomaly into a time period and counts the location of the staff member within that time period. Since a time period has a large span, if a staff member remains in one location continuously, it indicates that the staff member may have abandoned their post. The above solution ensures effective management of staff.

[0082] Another aspect of the present invention relates to an electronic device having a computer program stored thereon, which, when executed by a processor, implements the steps of the aforementioned personnel assessment method for thermal power plants. The electronic device may be a tangible storage medium, such as random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, floppy disk, hard disk, removable storage disk, CD-ROM, or any other form of storage medium known in the art.

[0083] This invention also provides a personnel assessment system for thermal power plant areas. The system includes a computer device, which includes a processor and a memory. The memory stores computer instructions, and the processor executes the computer instructions stored in the memory. When the computer instructions are executed by the processor, the system implements the steps of the method.

[0084] Those skilled in the art will understand that the exemplary components, systems, and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software, or a combination of both. Whether implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention. When implemented in hardware, it can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the desired tasks. The programs or code segments can be stored in a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave.

[0085] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0086] In this invention, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with or in place of features of other embodiments.

[0087] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, various modifications and variations of the embodiments of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for personnel assessment in thermal power plant areas, characterized in that, The steps of the method include: Based on the preset monitoring equipment, the location of the staff at each time point of the day is obtained, and the trajectory matrix of the staff is determined; Based on the trajectory matrix of all staff members in the work group to which the staff member belongs, determine the actual matrix of the work group; Determine whether a workgroup anomaly has occurred based on the actual workgroup matrix and the preset standard workgroup matrix. If no work group anomalies are found, calculate the first and second similarities between the trajectory matrix of the staff in the work group and the actual matrix and standard matrix of the work group, respectively. Based on the first and second similarity scores, it is determined whether a single person is abnormal. If a single person is abnormal, the trajectory matrix of that person is compared with the standard matrix of the work group to determine the abnormal time point of that person and report it.

2. The personnel assessment method for thermal power plant areas according to claim 1, characterized in that: Each row of the trajectory matrix corresponds to a time point, and each column of the estimation matrix corresponds to a scene location. In the step of obtaining the location of the staff at each time point of the day based on the preset monitoring equipment and determining the staff's trajectory matrix, the ReID technology is used to determine the scene location of the staff at each time point and construct the trajectory matrix.

3. The personnel assessment method for thermal power plant areas according to claim 1, characterized in that: In the step of determining the actual matrix of the work group based on the trajectory matrix of all workers in the work group to which the worker belongs, the mean value of each position in the trajectory matrix corresponding to each worker in the work group is calculated to obtain the actual matrix of the work group.

4. The personnel assessment method for thermal power plant areas according to claim 1, characterized in that: In the step of determining whether a workgroup is abnormal based on the actual workgroup matrix and the preset standard workgroup matrix, the distance between the actual workgroup matrix and the preset standard workgroup matrix is ​​calculated. If the distance is greater than a preset first threshold, the workgroup is determined to be abnormal.

5. The personnel assessment method for thermal power plant areas according to claim 1, characterized in that: In the steps of calculating the first similarity and the second similarity between the trajectory matrix of the staff in the working group and the actual matrix and the standard matrix of the working group, the first distance value between the trajectory matrix of the staff in the working group and the actual matrix of the working group and the second distance value between the trajectory matrix of the staff and the standard matrix of the working group are calculated. The reciprocal of the first distance value is used as the first similarity, and the reciprocal of the second distance value is used as the second similarity.

6. The personnel assessment method for thermal power plant areas according to any one of claims 1-5, characterized in that: In the step of determining whether a single-person anomaly has occurred based on the first similarity and the second similarity, similarity coordinate points are constructed based on the first similarity and the second similarity, and the distance between the similarity coordinate points and the origin of the coordinate system is used to determine whether a single-person anomaly has occurred.

7. The personnel assessment method for thermal power plant areas according to claim 6, characterized in that: In the step of constructing similarity coordinate points based on the first similarity and the second similarity, and determining whether a single-person anomaly has occurred based on the distance between the similarity coordinate points and the origin, the value of the first similarity is used as the value of the horizontal axis and the value of the second similarity is used as the value of the vertical axis to construct the similarity coordinate points corresponding to the staff member, and the distance between the similarity coordinate points and the origin is used to determine whether a single-person anomaly has occurred.

8. The personnel assessment method for thermal power plant areas according to claim 1, characterized in that: In the process of comparing the staff member's trajectory matrix with the work group's standard matrix to determine the staff member's abnormal time points and then reporting them: The trajectory matrix is ​​compared row by row with the standard matrix of the working group. In the comparison of each row, it is determined whether the corresponding vectors of each row are the same. If so, then the time point corresponding to that row is determined not to be an abnormal time point; If not, then the time point corresponding to that row is determined to be an abnormal time point.

9. The personnel assessment method for thermal power plant areas according to claim 8, characterized in that: The steps of comparing the employee's trajectory matrix with the work group's standard matrix to determine the employee's abnormal time points and then reporting them include: Construct a time period from consecutive abnormal time points of the employee, determine the abnormal time period of the employee, and count the location of the employee within the abnormal time period and report it.

10. A personnel assessment system for thermal power plant areas, characterized in that: The system includes a computer device, which includes a processor and a memory. The memory stores computer instructions, and the processor executes the computer instructions stored in the memory. When the computer instructions are executed by the processor, the system implements the steps of the personnel assessment method for thermal power plant areas as described in any one of claims 1-9.

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