Foreign personnel safety management and on-duty performance management system and management method thereof

Abstract

The invention relates to the technical field of access management, and discloses a foreign personnel safety management and on-duty performance management system and a management method thereof. And real-time monitoring, identity verification, on-duty state tracking and performance behavior analysis are carried out on the foreign personnel entering the working area. Identity information, function information and visited area information of visited foreign personnel are obtained, the activity track of the foreign personnel in the on-duty period is monitored in real time, the purpose that the foreign personnel perform duty in a specified area is ensured, and the duty performance risk of the foreign personnel in the specified area is estimated in a mode of constructing a risk estimation model. And if the risk is too large, early warning is automatically triggered. According to the invention, the problems of low on-duty performance management efficiency, incomplete supervision, inaccurate data and the like of outsiders in the prior art can be solved, and data support is provided for optimizing the management process.

Description

Technical Field

[0001] The present invention relates to the field of access management technology, and in particular to a management system and a management method for security management of outsiders and on-the-job performance of duties. Background Art

[0002] Safety management and on-the-job performance evaluation of outsiders are crucial links in the operation of modern enterprises and institutions. Its necessity stems from multiple needs such as safety risk prevention and control, responsibility tracing and efficiency improvement. For example, outsiders (such as visitors, contractors, temporary workers) are unfamiliar with the on-site environment and may mistakenly enter dangerous areas, such as high-voltage power rooms and chemical warehouses. Untrained personnel in these places may cause accidents due to improper operation. If an accident or dispute occurs, it is necessary to clarify whether it is caused by illegal operations by outsiders. There are many advantages to implementing safety management and on-the-job performance evaluation of outsiders, including complete recording of personnel trajectory and behavior data, meeting regulatory requirements, preventing accidents, etc. At the same time, it can also replace manual inspections and reduce the investment of security personnel. Therefore, a safety management and on-the-job performance management system for outsiders and its management method are proposed. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a system and method for managing the safety and performance of duties of outsiders.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: The first aspect of the present invention provides a method for safety management and on-the-job performance management of outsiders, comprising the following steps: Collect personal information and conduct facial recognition analysis on outsiders, and determine the identity level of outsiders based on the analysis results; Based on the visitor's identity level, analyze the visitor's access rights to different work visit sub-areas and determine the access time window, while monitoring the visitor's real-time location in the work visit area in real time; Generate the visitor's real-time path information based on the visitor's real-time location in the work visit area, and generate a visitor access risk estimation model based on the visitor's real-time path information; Combined with the visitor access risk assessment model, risk assessment and risk warning are carried out for visitors in the work visit area; When a visitor is working in the work visit area, the visitor's business function is determined based on the visitor's identity level, and the visitor's on-the-job performance indicators are evaluated based on the visitor's business function and the visitor access risk assessment model.

[0005] Furthermore, in a preferred embodiment of the present invention, the personal information collection and face recognition analysis of the outsider are performed, and the identity level of the outsider is determined according to the analysis results, specifically: Determine the work visit area and collect personal information of outsiders at the entrance of the work visit area. At the same time, install facial verification equipment at the work visit area; After recording the personal information of outsiders, upload it to the management terminal of the work visit area, mark it as the target management terminal, and obtain the visitor blacklist at the target management terminal; Import the personal information of the outsider into the visitor blacklist for identity comparison, and determine whether the personal information of the outsider exists in the visitor blacklist. If so, mark the outsider as a person denied entry at the target management terminal; if not, mark the outsider as a visitor; At the target management terminal, the visitor's appointment registration is monitored to determine whether the visitor has an appointment registration when visiting. If so, the visitor's functional information, target visiting area and target visiting purpose are generated according to the information filled in when the visitor registered for an appointment; If not, the functional information, target visiting area and target visiting purpose of the visitor are collected in real time and stored in the target management terminal, and at the same time, the face verification device is connected to the target management terminal so that the face verification device can perform face verification on the visitor; Based on the functional information, target visiting area and target visiting purpose of the visitor, the visitor is classified into identities, and an identity level template is obtained in the target management terminal, wherein different identity levels correspond to different functional information, target visiting area and target visiting purpose; Determine the visitor's identity level based on the identity level template.

[0006] Furthermore, in a preferred embodiment of the present invention, the visitor's identity level is combined to analyze the visitor's access rights to different work visit sub-areas and determine the access time window, and the visitor's real-time location in the work visit area is monitored in real time, specifically: In the work visit area, determining all work visit sub-areas, wherein the work visit sub-areas include the target visit area of ​​the visitor; All work visit sub-areas that can be freely accessed by visitors who obtain information of different functions, among which all work visit sub-areas that can be freely accessed are all work visit sub-areas that can be accessed without approval; Analyze the functional information in the identity level of the visitor in the target management terminal, and determine all the work visit sub-areas that the visitor can freely access, mark them as a type of work visit sub-area, and determine the access time windows of different work visit sub-areas; Combining the admission time windows of different work visit sub-areas, determining the admission time window of a type of work visit sub-area; All cameras in the work visit area are obtained, marked as positioning cameras, and the face verification device in the work visit area is connected to the positioning camera. Through the face verification device, all personnel in the work visit area are subjected to face verification and recognition processing in real time, and the real-time position of the visitor in the work visit area is located according to the face verification and recognition processing results.

[0007] Furthermore, in a preferred embodiment of the present invention, the real-time path information of the visitor is generated according to the real-time location of the visitor in the work visit area, and the visitor access risk estimation model is generated in combination with the real-time path information of the visitor, specifically: Combined with the real-time location of the visitor in the work visit area, the real-time path information of the visitor is generated in the target management terminal, wherein the real-time path information of the visitor is obtained by connecting all the real-time locations that the visitor has passed in the work visit area; Calculate the visitor's stay time at different real-time locations, thereby generating complete timestamps of the visitor at different real-time locations, import the complete timestamps of the visitor at different real-time locations into the visitor's real-time path information to update the real-time path information, and obtain the visitor's updated real-time path information; The mRMR algorithm is introduced into the target management terminal, and the autoencoder and the multi-layer perceptron are introduced. Based on the mRMR algorithm, the mRMR model is first constructed, and the updated real-time path information of the visitor is imported into the mRMR blank model, and the identity level of the visitor, the first-class work visit sub-area corresponding to the visitor, and the access time window of the corresponding first-class work visit sub-area are also imported; In the mRMR blank model, all imported data are converted into feature data for encoding through autoencoders and multi-layer perceptrons, and the mRMR blank model after the imported data is trained. During the training process, the particle swarm algorithm is introduced to optimize the network structure, and the evaluation accuracy of the mRMR blank model after the imported data is used as the particle fitness. Obtain the particle position and particle speed that are continuously updated according to the particle fitness, and when the termination condition is met, obtain the number of autoencoder layers and the number of hidden layers of the multi-layer perceptron according to the optimal position of the particle, and build a visitor access risk estimation model; The visitor access risk estimation model predicts the visitor's route and assesses the visitor's risk level in the work visit area based on the visitor's real-time location and residence time in the work visit area.

[0008] Furthermore, in a preferred embodiment of the present invention, the visitor access risk prediction model is combined to perform risk prediction and risk warning on visitors in the work visit area, specifically: In the work visit area, if the face verification device detects that the visitor's real-time location is not in the corresponding work visit sub-area, or the visitor's stay time in the corresponding work visit sub-area is not within the corresponding admission time window, a visitor crisis alarm is generated in the target management terminal; When a visitor crisis alarm is generated in the target management terminal, the buzzer in the work visit area is connected through the target management terminal and sounds; A target prediction time is preset. If the real-time location of the visitor is maintained in a corresponding type of work visit sub-area, the visitor's travel route within the target prediction time is predicted based on the visitor access risk estimation model, and the risk level of the visitor in the work visit area is evaluated based on the visitor's travel route within the target prediction time. The danger risk level is preset. If the risk level of the visitor in the work visit area is less than the danger risk level, no visitor crisis alarm is generated; If the risk level of the visitor in the work visit area is greater than the danger risk level, the warning broadcast of the work visit area is connected through the target management terminal, and the visitor is reminded based on the warning broadcast of the work visit area.

[0009] Furthermore, in a preferred embodiment of the present invention, when a visitor is working in the work visit area, the business function of the visitor is determined based on the visitor's identity level, and the visitor's on-the-job performance index is evaluated in combination with the visitor's business function and the visitor access risk estimation model, specifically: Determine the business function-visit purpose template in the target management terminal, and determine the business function of the visitor in the work visit area in the business function-visit purpose template based on the visitor's identity level, and mark it as the target business function; Determine the work visit sub-area corresponding to the target business function in the work visit area, mark it as the second-category work visit sub-area, and at the same time determine the on-the-job performance time range corresponding to the target business function in different second-category work visit sub-areas, mark it as the target on-the-job performance time range; If the visitor's on-the-job performance area in the work visit area completely overlaps with the second-category work visit sub-area, and the on-the-job performance time is completely maintained within the corresponding target on-the-job performance time range, then the visitor's on-the-job performance index is evaluated as excellent in the target management terminal; If the visitor's on-the-job performance area in the work visit area does not completely overlap with the second-category work visit sub-area, or the on-the-job performance time is not completely maintained within the corresponding target on-the-job performance time range, the visitor's on-the-job performance index will be evaluated as waiting for optimization in the target management terminal.

[0010] The second aspect of the present invention further provides a management system for the safety management and on-the-job performance of outsiders, the management system comprising a memory and a processor, the memory storing a management method, and when the management method is executed by the processor, the following steps are implemented: Collect personal information and conduct facial recognition analysis on outsiders, and determine the identity level of outsiders based on the analysis results; Based on the visitor's identity level, analyze the visitor's access rights to different work visit sub-areas and determine the access time window, while monitoring the visitor's real-time location in the work visit area in real time; Generate the visitor's real-time path information based on the visitor's real-time location in the work visit area, and generate a visitor access risk estimation model based on the visitor's real-time path information; Combined with the visitor access risk assessment model, risk assessment and risk warning are carried out for visitors in the work visit area; When a visitor is working in the work visit area, the visitor's business function is determined based on the visitor's identity level, and the visitor's on-the-job performance indicators are evaluated based on the visitor's business function and the visitor access risk assessment model.

[0011] The present invention solves the technical defects existing in the background technology, and the present invention has the following beneficial effects: by integrating the Internet of Things, artificial intelligence and big data analysis technology, it realizes real-time monitoring, identity authentication, on-the-job status tracking and job performance analysis of outsiders entering the work area. The identity information, functional information and visited area information of the visiting outsiders are obtained, and the activity trajectory of the outsiders during their on-the-job period is monitored in real time to ensure that they perform their duties in the specified area, and the performance risk of outsiders in the specified area is estimated by constructing a risk estimation model. If there is a high risk, an early warning is automatically triggered. The present invention can solve the problems of low efficiency, incomplete supervision, inaccurate data, etc. in the prior art in the management of on-the-job performance of outsiders, and provide data support for optimizing management processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0013] Figure 1 A flow chart showing a method for the safety management and on-the-job performance management of outsiders; Figure 2 A flow chart of a method for constructing a visitor access risk estimation model is shown; Figure 3 A program view of a non-local personnel safety management and on-the-job performance management system is shown. DETAILED DESCRIPTION

[0014] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0015] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0016] Figure 1 A flowchart of a method for managing the safety of outsiders and on-the-job performance of duties is shown, comprising the following steps: S102: Collect personal information and conduct facial recognition analysis on the outsider, and determine the identity level of the outsider based on the analysis results; S104: Analyze the access rights of visitors to different work visit sub-areas and determine the access time window based on the visitor's identity level, and monitor the real-time location of the visitor in the work visit area in real time; S106: generating real-time path information of the visitor according to the real-time location of the visitor in the work visit area, and generating a visitor access risk estimation model in combination with the real-time path information of the visitor; S108: combining the visitor access risk estimation model, performing risk estimation and risk warning for visitors in the work visit area; S110: When a visitor is working in the work visit area, the business function of the visitor is determined based on the visitor's identity level, and the visitor's on-the-job performance index is evaluated in combination with the visitor's business function and the visitor access risk assessment model.

[0017] Furthermore, in a preferred embodiment of the present invention, the personal information collection and face recognition analysis of the outsider are performed, and the identity level of the outsider is determined according to the analysis results, specifically: Determine the work visit area and collect personal information of outsiders at the entrance of the work visit area. At the same time, install facial verification equipment at the work visit area; After recording the personal information of outsiders, upload it to the management terminal of the work visit area, mark it as the target management terminal, and obtain the visitor blacklist at the target management terminal; Import the personal information of the outsider into the visitor blacklist for identity comparison, and determine whether the personal information of the outsider exists in the visitor blacklist. If so, mark the outsider as a person denied entry at the target management terminal; if not, mark the outsider as a visitor; At the target management terminal, the visitor's appointment registration is monitored to determine whether the visitor has an appointment registration when visiting. If so, the visitor's functional information, target visiting area and target visiting purpose are generated according to the information filled in when the visitor registered for an appointment; If not, the functional information, target visiting area and target visiting purpose of the visitor are collected in real time and stored in the target management terminal, and at the same time, the face verification device is connected to the target management terminal so that the face verification device can perform face verification on the visitor; Based on the functional information, target visiting area and target visiting purpose of the visitor, the visitor is classified into identities, and an identity level template is obtained in the target management terminal, wherein different identity levels correspond to different functional information, target visiting area and target visiting purpose; Determine the visitor's identity level based on the identity level template.

[0018] It should be noted that the purpose of collecting the personal information of outsiders is to determine whether the outsiders are members of the blacklist in the work visit area. The blacklist is a list of people who are prohibited from entering. If the outsider has been registered and blacklisted, the outsider has no right to enter the work visit area. If not blacklisted, he / she is marked as a visitor. Before the visitor visits, it can be checked whether he / she has made an appointment. When making an appointment, the visitor's visit status will be recorded, so as to facilitate the on-the-job performance and security management of the visitor in the following period. At the same time, the visitor's information will be transmitted to the face verification device to facilitate the location of the visitor. The purpose of determining the visitor's identity level is to determine the visitor's authority in the work visit area.

[0019] Furthermore, in a preferred embodiment of the present invention, the visitor access risk prediction model is combined to perform risk prediction and risk warning on visitors in the work visit area, specifically: In the work visit area, if the face verification device detects that the visitor's real-time location is not in the corresponding work visit sub-area, or the visitor's stay time in the corresponding work visit sub-area is not within the corresponding admission time window, a visitor crisis alarm is generated in the target management terminal; When a visitor crisis alarm is generated in the target management terminal, the buzzer in the work visit area is connected through the target management terminal and sounds; A target prediction time is preset. If the real-time location of the visitor is maintained in a corresponding type of work visit sub-area, the visitor's travel route within the target prediction time is predicted based on the visitor access risk estimation model, and the risk level of the visitor in the work visit area is evaluated based on the visitor's travel route within the target prediction time. The danger risk level is preset. If the risk level of the visitor in the work visit area is less than the danger risk level, no visitor crisis alarm is generated; If the risk level of the visitor in the work visit area is greater than the danger risk level, the warning broadcast of the work visit area is connected through the target management terminal, and the visitor is reminded based on the warning broadcast of the work visit area.

[0020] It should be noted that if it is detected that the visitor's real-time location is not in the corresponding type of work visit sub-area, that is, the visitor has stepped into the area prohibited from visiting, or the visitor's stay time in a type of work visit sub-area is not within the specified time, an alarm needs to be issued to prevent the visitor from being in danger or making dangerous behaviors in the specified area, so the buzzer of the work visit area is connected and a buzzer is sounded. On the contrary, if the visitor's real-time location is maintained in the corresponding type of work visit sub-area, it is necessary to predict whether the visitor will pass through the prohibited area after a period of time. The visitor's route can be determined through the access risk estimation model, because the work is related. For example, after working in area a, the visitor may go to area b, and area b is an area prohibited for visitors to step into. The access risk estimation model can predict that the visitor may step into area b after working in area a. At this time, the probability of the visitor stepping into area b will be calculated, that is, the risk level of the visitor in the work visit area will be evaluated. If the risk level of the visitor in the work visit area is less than the danger risk level, it proves that the visitor has a low probability of going to the prohibited area, otherwise it is higher, and the visitor needs to be reminded not to step into it.

[0021] Furthermore, in a preferred embodiment of the present invention, when a visitor is working in the work visit area, the business function of the visitor is determined based on the visitor's identity level, and the visitor's on-the-job performance index is evaluated in combination with the visitor's business function and the visitor access risk estimation model, specifically: Determine the business function-visit purpose template in the target management terminal, and determine the business function of the visitor in the work visit area in the business function-visit purpose template based on the visitor's identity level, and mark it as the target business function; Determine the work visit sub-area corresponding to the target business function in the work visit area, mark it as the second-category work visit sub-area, and at the same time determine the on-the-job performance time range corresponding to the target business function in different second-category work visit sub-areas, mark it as the target on-the-job performance time range; If the visitor's on-the-job performance area in the work visit area completely overlaps with the second-category work visit sub-area, and the on-the-job performance time is completely maintained within the corresponding target on-the-job performance time range, then the visitor's on-the-job performance index is evaluated as excellent in the target management terminal; If the visitor's on-the-job performance area in the work visit area does not completely overlap with the second-category work visit sub-area, or the on-the-job performance time is not completely maintained within the corresponding target on-the-job performance time range, the visitor's on-the-job performance index will be evaluated as waiting for optimization in the target management terminal.

[0022] It should be noted that the on-the-job performance index evaluation of visitors is to judge the work attitude and completion status of visitors in the work visit area. Under normal circumstances, visitors work in the work visit area according to the rules and regulations, and their on-the-job performance index is evaluated as excellent, that is, the visitors will step into the second-category work visit sub-area in the work visit area, and the on-the-job performance time range in the second-category work visit sub-area is maintained within the standard range. On the contrary, if the visitor steps into areas outside the second-category work visit sub-area, it proves that the visitor may be sloppy at work, and the on-the-job performance time range is not maintained within the standard range, which proves that the visitor's work efficiency is too low, or the visitor's work attitude is not serious, so the visitor's on-the-job performance index is evaluated as poor. Different work visit areas correspond to different work tasks that can be completed, so after determining the business functions of the visitors, the second-category work visit sub-area can be obtained according to the business functions.

[0023] Figure 2 A flow chart of a method for constructing a visitor access risk prediction model is shown, comprising the following steps: S202: Analyze the access rights of visitors to different work visit sub-areas and determine the access time window based on the visitor's identity level, and monitor the real-time location of the visitor in the work visit area in real time; S204: Generate the visitor's real-time path information according to the visitor's real-time location in the work visit area, and generate a visitor access risk estimation model in combination with the visitor's real-time path information.

[0024] Furthermore, in a preferred embodiment of the present invention, the visitor's identity level is combined to analyze the visitor's access rights to different work visit sub-areas and determine the access time window, and the visitor's real-time location in the work visit area is monitored in real time, specifically: In the work visit area, determining all work visit sub-areas, wherein the work visit sub-areas include the target visit area of ​​the visitor; All work visit sub-areas that can be freely accessed by visitors who obtain information of different functions, among which all work visit sub-areas that can be freely accessed are all work visit sub-areas that can be accessed without approval; Analyze the functional information in the identity level of the visitor in the target management terminal, and determine all the work visit sub-areas that the visitor can freely access, mark them as a type of work visit sub-area, and determine the access time windows of different work visit sub-areas; Combining the admission time windows of different work visit sub-areas, determining the admission time window of a type of work visit sub-area; All cameras in the work visit area are obtained, marked as positioning cameras, and the face verification device in the work visit area is connected to the positioning camera. Through the face verification device, all personnel in the work visit area are subjected to face verification and recognition processing in real time, and the real-time position of the visitor in the work visit area is located according to the face verification and recognition processing results.

[0025] It should be noted that visitors with different functional information can freely access different work visit sub-areas, that is, different types of work visit sub-areas. After determining a visitor's type of work visit sub-area, it is also necessary to determine the corresponding access time window, because some areas are not allowed to enter within the specified time, and entering will cause risks. The purpose of obtaining the positioning camera is to connect the face verification device to verify the real-time location of the visitor in the work visit area.

[0026] Furthermore, in a preferred embodiment of the present invention, the real-time path information of the visitor is generated according to the real-time location of the visitor in the work visit area, and the visitor access risk estimation model is generated in combination with the real-time path information of the visitor, specifically: Combined with the real-time location of the visitor in the work visit area, the real-time path information of the visitor is generated in the target management terminal, wherein the real-time path information of the visitor is obtained by connecting all the real-time locations that the visitor has passed in the work visit area; Calculate the visitor's stay time at different real-time locations, thereby generating complete timestamps of the visitor at different real-time locations, import the complete timestamps of the visitor at different real-time locations into the visitor's real-time path information to update the real-time path information, and obtain the visitor's updated real-time path information; The mRMR algorithm is introduced into the target management terminal, and the autoencoder and the multi-layer perceptron are introduced. Based on the mRMR algorithm, the mRMR model is first constructed, and the updated real-time path information of the visitor is imported into the mRMR blank model, and the identity level of the visitor, the first-class work visit sub-area corresponding to the visitor, and the access time window of the corresponding first-class work visit sub-area are also imported; In the mRMR blank model, all imported data are converted into feature data for encoding through autoencoders and multi-layer perceptrons, and the mRMR blank model after the imported data is trained. During the training process, the particle swarm algorithm is introduced to optimize the network structure, and the evaluation accuracy of the mRMR blank model after the imported data is used as the particle fitness. Obtain the particle position and particle speed that are continuously updated according to the particle fitness, and when the termination condition is met, obtain the number of autoencoder layers and the number of hidden layers of the multi-layer perceptron according to the optimal position of the particle, and build a visitor access risk estimation model; The visitor access risk estimation model predicts the visitor's route and assesses the visitor's risk level in the work visit area based on the visitor's real-time location and residence time in the work visit area.

[0027] It should be noted that the combination of different real-time locations of visitors is their real-time path. After the real-time path is determined, the visitor's next route can be inferred based on the path location, speed, and residence time. The mRMR algorithm is used to select variables with small redundancy between features and large correlation between features and dependent variables. It has the advantages of fast calculation speed and good stability. Therefore, the mRMR algorithm is used to build a prediction model, and combined with autoencoders and multi-layer perceptrons. Autoencoders and multi-layer perceptrons are devices that determine the number of layers and hidden layers in the mRMR blank model. Different numbers of layers and hidden layers determine the prediction ability and prediction direction of the mRMR blank model. The updated real-time path information of visitors is imported into the mRMR blank model. At the same time, the identity level of the visitor, the corresponding work visit sub-area of ​​the visitor, and the corresponding access time window of the work visit sub-area are imported to realize feature data extraction, and the model training can be realized by combining the particle swarm algorithm. When the particle position and particle speed meet the termination condition, that is, the corresponding position and speed are met, a visitor access risk estimation model can be constructed to evaluate the possible routes of visitors in the work visit area and the risk level of visitors in the work visit area.

[0028] like Figure 3 As shown, the second aspect of the present invention further provides a management system for the safety management and on-the-job performance of outsiders, the management system includes a memory 31 and a processor 32, the memory 31 stores a management method, and when the management method is executed by the processor 32, the following steps are implemented: Collect personal information and conduct facial recognition analysis on outsiders, and determine the identity level of outsiders based on the analysis results; Based on the visitor's identity level, analyze the visitor's access rights to different work visit sub-areas and determine the access time window, while monitoring the visitor's real-time location in the work visit area in real time; Generate the visitor's real-time path information based on the visitor's real-time location in the work visit area, and generate a visitor access risk estimation model based on the visitor's real-time path information; Combined with the visitor access risk assessment model, risk assessment and risk warning are carried out for visitors in the work visit area; When a visitor is working in the work visit area, the visitor's business function is determined based on the visitor's identity level, and the visitor's on-the-job performance indicators are evaluated based on the visitor's business function and the visitor access risk assessment model.

[0029] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for safety management and on-the-job performance management of outsiders, characterized in that: The following steps are involved: Collect personal information and conduct facial recognition analysis on outsiders, and determine the identity level of outsiders based on the analysis results; Based on the visitor's identity level, analyze the visitor's access rights to different work visit sub-areas and determine the access time window, while monitoring the visitor's real-time location in the work visit area in real time; Generate the visitor's real-time path information based on the visitor's real-time location in the work visit area, and generate a visitor access risk estimation model based on the visitor's real-time path information; Combined with the visitor access risk assessment model, risk assessment and risk warning are carried out for visitors in the work visit area; When a visitor is working in the work visit area, the visitor's business function is determined based on the visitor's identity level, and the visitor's on-the-job performance indicators are evaluated based on the visitor's business function and the visitor access risk assessment model.

2. According to the method for safety management and on-the-job performance management of outsiders described in claim 1, it is characterized in that: The personal information collection and face recognition analysis of outsiders, and the determination of the identity level of outsiders based on the analysis results, are specifically: Determine the work visit area and collect personal information of outsiders at the entrance of the work visit area. At the same time, install facial verification equipment at the work visit area; After recording the personal information of outsiders, upload it to the management terminal of the work visit area, mark it as the target management terminal, and obtain the visitor blacklist at the target management terminal; Import the personal information of the outsider into the visitor blacklist for identity comparison, and determine whether the personal information of the outsider exists in the visitor blacklist. If so, mark the outsider as a person denied entry at the target management terminal; if not, mark the outsider as a visitor; At the target management terminal, the visitor's appointment registration is monitored to determine whether the visitor has an appointment registration when visiting. If so, the visitor's functional information, target visiting area and target visiting purpose are generated according to the information filled in when the visitor registered for an appointment; If not, the functional information, target visiting area and target visiting purpose of the visitor are collected in real time and stored in the target management terminal, and at the same time, the face verification device is connected to the target management terminal so that the face verification device can perform face verification on the visitor; Based on the functional information, target visiting area and target visiting purpose of the visitor, the visitor is classified into identities, and an identity level template is obtained in the target management terminal, wherein different identity levels correspond to different functional information, target visiting area and target visiting purpose; Determine the visitor's identity level based on the identity level template.

3. According to the method for safety management and on-the-job performance management of outsiders described in claim 1, it is characterized in that: The visitor's identity level is combined to analyze the visitor's access rights to different work visit sub-areas and determine the access time window, while the visitor's real-time location in the work visit area is monitored in real time, specifically: In the work visit area, determining all work visit sub-areas, wherein the work visit sub-areas include the target visit area of ​​the visitor; All work visit sub-areas that can be freely accessed by visitors who obtain information of different functions, where all work visit sub-areas that can be freely accessed are all work visit sub-areas that can be accessed without approval; Analyze the functional information in the identity level of the visitor in the target management terminal, and determine all the work visit sub-areas that the visitor can freely access, mark them as a type of work visit sub-area, and determine the access time windows of different work visit sub-areas; Combining the admission time windows of different work visit sub-areas, determining the admission time window of a type of work visit sub-area; All cameras in the work visit area are obtained, marked as positioning cameras, and the face verification device in the work visit area is connected to the positioning camera. Through the face verification device, all personnel in the work visit area are subjected to face verification and recognition processing in real time, and the real-time position of the visitor in the work visit area is located according to the face verification and recognition processing results.

4. According to the method for safety management and on-the-job performance management of outsiders as described in claim 1, it is characterized in that: The real-time path information of the visitor is generated according to the real-time location of the visitor in the work visit area, and the visitor access risk estimation model is generated in combination with the real-time path information of the visitor, specifically: Combined with the real-time location of the visitor in the work visit area, the real-time path information of the visitor is generated in the target management terminal, wherein the real-time path information of the visitor is obtained by connecting all the real-time locations that the visitor has passed in the work visit area; Calculate the visitor's stay time at different real-time locations, thereby generating complete timestamps of the visitor at different real-time locations, import the complete timestamps of the visitor at different real-time locations into the visitor's real-time path information to update the real-time path information, and obtain the visitor's updated real-time path information; The mRMR algorithm is introduced into the target management terminal, and the autoencoder and the multi-layer perceptron are introduced. Based on the mRMR algorithm, the mRMR model is first constructed, and the updated real-time path information of the visitor is imported into the mRMR blank model, and the identity level of the visitor, the first-class work visit sub-area corresponding to the visitor, and the access time window of the corresponding first-class work visit sub-area are also imported; In the mRMR blank model, all imported data are converted into feature data for encoding through autoencoders and multi-layer perceptrons, and the mRMR blank model after the imported data is trained. During the training process, the particle swarm algorithm is introduced to optimize the network structure, and the evaluation accuracy of the mRMR blank model after the imported data is used as the particle fitness. Obtain the particle position and particle speed that are continuously updated according to the particle fitness, and when the termination condition is met, obtain the number of autoencoder layers and the number of hidden layers of the multi-layer perceptron according to the optimal position of the particle, and build a visitor access risk estimation model; The visitor access risk estimation model predicts the visitor's route and assesses the visitor's risk level in the work visit area based on the visitor's real-time location and residence time in the work visit area.

5. According to the method for safety management and on-the-job performance management of outsiders as described in claim 1, it is characterized in that: The visitor access risk prediction model is combined to perform risk prediction and risk warning on visitors in the work visit area, specifically: In the work visit area, if the face verification device detects that the visitor's real-time location is not in the corresponding work visit sub-area, or the visitor's stay time in the corresponding work visit sub-area is not within the corresponding admission time window, a visitor crisis alarm is generated in the target management terminal; When a visitor crisis alarm is generated in the target management terminal, the buzzer in the work visit area is connected through the target management terminal and sounds; A target prediction time is preset. If the real-time location of the visitor is maintained in a corresponding type of work visit sub-area, the visitor's travel route within the target prediction time is predicted based on the visitor access risk estimation model, and the risk level of the visitor in the work visit area is evaluated based on the visitor's travel route within the target prediction time. The danger risk level is preset. If the risk level of the visitor in the work visit area is less than the danger risk level, no visitor crisis alarm is generated; If the risk level of the visitor in the work visit area is greater than the danger risk level, the warning broadcast of the work visit area is connected through the target management terminal, and the visitor is reminded based on the warning broadcast of the work visit area.

6. According to the method for safety management and on-the-job performance management of outsiders as described in claim 1, it is characterized in that: When a visitor is working in the work visit area, the business function of the visitor is determined based on the visitor's identity level, and the visitor's on-the-job performance index is evaluated in combination with the visitor's business function and the visitor access risk assessment model, specifically: Determine the business function-visit purpose template in the target management terminal, and determine the business function of the visitor in the work visit area in the business function-visit purpose template based on the visitor's identity level, and mark it as the target business function; Determine the work visit sub-area corresponding to the target business function in the work visit area, mark it as the second-category work visit sub-area, and at the same time determine the on-the-job performance time range corresponding to the target business function in different second-category work visit sub-areas, mark it as the target on-the-job performance time range; If the visitor's on-the-job performance area in the work visit area completely overlaps with the second-category work visit sub-area, and the on-the-job performance time is completely maintained within the corresponding target on-the-job performance time range, then the visitor's on-the-job performance index is evaluated as excellent in the target management terminal; If the visitor's on-the-job performance area in the work visit area does not completely overlap with the second-category work visit sub-area, or the on-the-job performance time is not completely maintained within the corresponding target on-the-job performance time range, the visitor's on-the-job performance index will be evaluated as waiting for optimization in the target management terminal.

7. A system for the safety management and on-the-job performance management of outsiders, characterized in that: The management system includes a memory and a processor, wherein a management method program is stored in the memory. When the management method program is executed by the processor, the steps of a method for safety management of outsiders and on-the-job performance management as described in any one of claims 1 to 6 are implemented.

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