CN118552895A - Smart factory personnel management method, device, computer equipment and storage medium - Google Patents

Abstract

The present application relates to a method, device, computer equipment and storage medium for personnel management and control in a smart factory, the method comprising obtaining identity information and image information of internal personnel, establishing an internal personnel image information library; obtaining a factory monitoring image, identifying a newly added personnel image in the factory monitoring image; comparing the newly added personnel image with the internal personnel image information library, determining whether the newly added personnel corresponding to the newly added personnel image is an internal personnel, and executing a corresponding management and control strategy on the newly added personnel according to the comparison result. The present application has the effect of improving the accuracy of factory personnel management and control.

Description

Smart factory personnel management method, device, computer equipment and storage medium

Technical Field

The present invention relates to the technical field of smart factory management, and in particular to a smart factory personnel management method, device, computer equipment and storage medium.

Background Art

At present, smart factories have become an important form of modern industrial production. In smart factories, personnel control is a key link to ensure production safety and improve production efficiency.

Existing factory personnel control mostly adopts traditional manual management methods. Some smart factories use positioning devices integrated into work badges to monitor personnel locations, but factory personnel do not always wear their work badges during work, and sometimes they mistakenly take other people's work badges. In addition, when outsiders break in, they cannot accurately locate their positions and need to be searched through monitoring, which is time-consuming and labor-intensive.

Therefore, the above-mentioned prior art solutions have the defect of low accuracy in factory personnel management and control.

Summary of the invention

In order to improve the accuracy of factory personnel management, the present application provides a smart factory personnel management method, device, computer equipment and storage medium.

The above-mentioned invention objective of the present application is achieved through the following technical solutions:

A method for personnel management and control in a smart factory, the method comprising:

Obtain the identity information and image information of internal personnel and establish an internal personnel image information database;

Acquire a factory surveillance image, and identify an image of a new person in the factory surveillance image;

The newly added person image is compared with the internal person image information database to determine whether the newly added person corresponding to the newly added person image is an internal person, and a corresponding management and control strategy is executed on the newly added person according to the comparison result.

By adopting the above technical solution, since the existing smart factories use the method of integrating positioning devices in work badges to monitor the location of personnel, factory personnel do not always wear work badges during work, and sometimes they mistakenly take other people's work badges. In addition, when outsiders break in, it is impossible to accurately locate the location of outsiders, and they need to be searched through monitoring, which is time-consuming and laborious. Therefore, this application can help managers ensure that only authorized personnel enter the factory by establishing an internal personnel image information database and identifying new personnel in the factory monitoring images, thereby improving the safety and confidentiality of the factory; by identifying and comparing the images of new personnel, unauthorized personnel can be discovered and prevented from entering the factory in a timely manner, reducing potential safety hazards and illegal acts; through effective internal personnel management and control, interference and confusion in work can be reduced, which helps to improve the factory's production efficiency and work efficiency; by establishing an internal personnel image information database, the entry and exit of each internal personnel can be recorded, which is conducive to subsequent tracing and accountability; through automatic recognition and comparison technology, intelligent management and control of new personnel can be achieved, saving human resources and management costs, and improving management efficiency and accuracy.

In a preferred example, the present application can be further configured as follows: the corresponding control strategy is executed according to the comparison result, specifically including:

When the newly added person image is successfully compared with the internal person image information database, the newly added person is marked as an internal person, the corresponding newly added person image is marked as an internal person image, and the internal person management and control strategy is executed on the internal person;

When the comparison between the newly added person image and the internal person image information database fails, obtaining a visitor image information table, matching the newly added person image with the visitor image information table, and obtaining a visitor image matching result;

If the visitor image matching result is a successful match, mark the newly added person as a visitor, mark the corresponding newly added person image as a visitor person image, and execute a visitor control strategy on the visitor;

In the case that the visitor image matching result is a match failure, the newly added person is marked as an illegal person, the corresponding image of the newly added person is marked as an illegal person image, and an illegal person control strategy is implemented for the illegal person.

By adopting the above technical solution, by comparing the internal personnel image information database and the visitor image information table, it is possible to accurately distinguish between internal personnel, visitors and illegal personnel, thereby realizing targeted control and management of individuals with different identities; by marking and executing corresponding control strategies, it is possible to effectively prevent unauthorized personnel from entering the factory area, improve the safety and confidentiality of the factory, and reduce potential security risks and threats; by marking new personnel as internal personnel or visitors, and executing corresponding control strategies according to their identities, it is helpful to standardize the personnel management process within the factory and ensure that all work is carried out in accordance with regulations; by marking and controlling personnel of different identities, detailed records and reports can be generated to facilitate subsequent review, analysis and improvement of management strategies.

In a preferred example, the present application can be further configured as follows: the internal personnel management and control strategy specifically includes:

Performing behavior analysis on the insider based on the insider image, and recording and reporting the insider behavior when it is detected that the insider behavior does not conform to the standard behavior norms of the insider;

It is determined whether the corresponding insider is in a dangerous area based on the insider image analysis, and if the insider enters the dangerous area, the dangerous situation of the insider is handled.

By adopting the above technical solution, through behavioral analysis and dangerous area detection of internal personnel images, the activities and locations of internal personnel can be monitored in real time, and abnormal behavior or dangerous situations can be discovered in time; by identifying that the behavior of internal personnel does not meet the specifications and recording and reporting the behavior of internal personnel, detailed behavior records and reports can be generated to facilitate subsequent review and tracing of the cause of the problem, providing strong data support for factory management; by identifying whether personnel are in dangerous areas, timely measures can be taken to deal with them, reduce the occurrence of accidents, and improve the safety and production efficiency of the factory.

In a preferred example, the present application may be further configured as follows: the step of analyzing the internal personnel image and determining whether the corresponding internal personnel is in a dangerous area specifically includes:

Marking and tracking the image of the internal personnel in the factory monitoring image to obtain the real-time location of the internal personnel;

Monitor whether there is any dangerous situation in the factory area according to the factory area monitoring image, and mark the location where the dangerous situation occurs when the dangerous situation occurs;

The distance between the inside personnel and the location where the dangerous situation occurs is calculated according to the real-time location of the inside personnel. When the distance is less than a preset safety distance, it is determined that the corresponding inside personnel is in a dangerous area.

By adopting the above technical solution, by marking and tracking the images of internal personnel and obtaining their real-time locations, it is possible to monitor and track the actions of internal personnel in real time, thereby improving the ability to control the internal situation of the factory in real time; by monitoring whether there are dangerous situations in the factory area and marking dangerous locations, and based on the distance between the real-time location of the internal personnel and the location where the dangerous situation occurs, it is possible to accurately determine whether the internal personnel are in a dangerous area, quickly discover and respond to dangerous situations, take timely measures to prevent accidents, and improve factory safety.

In a preferred example, the present application can be further configured as follows: the visitor control strategy specifically includes:

Marking and tracking the visitor image in the factory monitoring image to obtain the visitor's real-time location;

The real-time location of the visitor is compared with the visitor access area, and the visitor is guided on a route according to the comparison result.

By adopting the above technical solution, by marking and tracking the visitor's image and obtaining the real-time location, real-time monitoring of the visitor's actions can be achieved, which helps to ensure the safety of the visitor inside the factory; by comparing the visitor's real-time location with the visitor's access area and providing route guidance, it can be ensured that the visitor enters the factory area according to the prescribed path, avoiding mistaken entry into dangerous areas or non-access areas, thereby improving the accuracy and efficiency of visitor management. At the same time, accurate visitor navigation can avoid visitors from mistakenly entering dangerous areas or areas that should not be entered, reducing safety risks and helping to prevent the occurrence of safety incidents.

In a preferred example, the present application can be further configured as follows: the illegal personnel control strategy specifically includes:

Marking the illegal person image in the factory monitoring image and locating the illegal person's position;

Generate an illegal person intrusion alarm and broadcast the illegal person's location in real time.

By adopting the above technical solution, by timely marking and locating illegal personnel, possible security risks and potential threats can be discovered and responded to in a timely manner, which helps to ensure the safety of the factory; by generating illegal personnel intrusion alarms and broadcasting the location in real time, relevant personnel inside the factory can be quickly alerted so that they can immediately take necessary measures, such as notifying security personnel or executing safety emergency plans. At the same time, security personnel or emergency response personnel can arrive at the scene quickly and accurately, improving the efficiency and accuracy of emergency response.

In a preferred example, the present application may be further configured as follows: before obtaining the visitor image information table, the following steps are further included:

Enter the visitor's identity information and extract the corresponding visitor's image features;

Setting a visitor access area according to the visitor identity information;

Establish an association between the visitor identity information, the visitor image features and the visitor access area, and create a visitor image information table.

By adopting the above technical solution, through the association of identity information and image features, the entry and exit of visitors can be effectively managed, the security of factories or buildings can be enhanced, and unauthorized personnel can be prevented from entering sensitive areas; setting visitor access areas based on visitor identity information can limit the scope of visitors' activities and ensure that they can only enter authorized areas, which is conducive to protecting confidential information and valuable assets; by creating a visitor image information table, it is convenient to manage and track visitor activity records, including entry and exit time, visit area and other information, which is helpful for subsequent security audits and management work.

The second object of the invention is achieved by the following technical solutions:

A smart factory personnel control device, the smart factory personnel control device comprising:

Internal personnel identity entry module, used to obtain the identity information and image information of internal personnel and establish an internal personnel image information database;

A new person image recognition module is used to obtain a factory monitoring image and recognize a new person image in the factory monitoring image;

The new personnel management and control processing module is used to compare the new personnel image with the internal personnel image information database, determine whether the new personnel corresponding to the new personnel image is an internal personnel, and execute the corresponding management and control strategy for the new personnel according to the comparison result.

By adopting the above technical solution, since the existing smart factories use the method of integrating positioning devices in work badges to monitor the location of personnel, factory personnel do not always wear work badges during work, and sometimes they mistakenly take other people's work badges. In addition, when outsiders break in, it is impossible to accurately locate the location of outsiders, and they need to be searched through monitoring, which is time-consuming and laborious. Therefore, this application can help managers ensure that only authorized personnel enter the factory by establishing an internal personnel image information database and identifying new personnel in the factory monitoring images, thereby improving the safety and confidentiality of the factory; by identifying and comparing the images of new personnel, unauthorized personnel can be discovered and prevented from entering the factory in a timely manner, reducing potential safety hazards and illegal acts; through effective internal personnel management and control, interference and confusion in work can be reduced, which helps to improve the factory's production efficiency and work efficiency; by establishing an internal personnel image information database, the entry and exit of each internal personnel can be recorded, which is conducive to subsequent tracing and accountability; through automatic recognition and comparison technology, intelligent management and control of new personnel can be achieved, saving human resources and management costs, and improving management efficiency and accuracy.

The third objective of the present application is achieved through the following technical solutions:

A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned smart factory personnel management and control method when executing the computer program.

The fourth objective of the present application is achieved through the following technical solutions:

A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned smart factory personnel management and control method.

In summary, the present application includes at least one of the following beneficial technical effects:

1. By comparing the internal personnel image information database and the visitor image information table, it is possible to accurately distinguish between internal personnel, visitors and illegal personnel, so as to achieve targeted control and management of individuals with different identities; by marking and implementing corresponding control strategies, it is possible to effectively prevent unauthorized personnel from entering the factory area, improve the safety and confidentiality of the factory, and reduce potential security risks and threats; by marking new personnel as internal personnel or visitors and implementing corresponding control strategies according to their identities, it is helpful to standardize the personnel management process within the factory and ensure that all work is carried out in accordance with regulations; by marking and controlling personnel with different identities, detailed records and reports can be generated to facilitate subsequent review, analysis and improvement of management strategies;

2. Through behavioral analysis and dangerous area detection of internal personnel images, the activities and locations of internal personnel can be monitored in real time, and abnormal behaviors or dangerous situations can be discovered in time. By identifying internal personnel behaviors that do not meet the specifications and recording and reporting internal personnel behaviors, detailed behavior records and reports can be generated to facilitate subsequent review and trace the causes of problems, providing strong data support for factory management. By identifying whether personnel are in dangerous areas, timely measures can be taken to deal with them, reduce the occurrence of accidents, and improve factory safety and production efficiency.

3. By marking and tracking visitor images and obtaining their real-time locations, real-time monitoring of visitor actions can be achieved, helping to ensure the safety of visitors inside the factory; by comparing the real-time location of visitors with the visitor access area and providing route guidance, it can be ensured that visitors enter the factory area along the prescribed path, avoiding entering dangerous areas or non-access areas by mistake, thereby improving the accuracy and efficiency of visitor management. At the same time, accurate visitor navigation can prevent visitors from entering dangerous areas or areas that should not be entered by mistake, reducing safety risks and helping to prevent the occurrence of safety incidents.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for personnel management and control in a smart factory in one embodiment of the present application.

FIG. 2 is a flowchart of an implementation of step S30 in a smart factory personnel management method in an embodiment of the present application.

FIG3 is a flowchart of an implementation of step S31 in a smart factory personnel management method in an embodiment of the present application.

FIG. 4 is a flowchart of an implementation of step S312 in the smart factory personnel management method in one embodiment of the present application.

FIG5 is a flowchart of the implementation of step S33 in the smart factory personnel management method in one embodiment of the present application.

FIG6 is a flowchart of the implementation of step S34 in the smart factory personnel management method in one embodiment of the present application.

FIG. 7 is a flowchart of the implementation of the preceding steps of step S32 in the smart factory personnel management method in one embodiment of the present application.

FIG8 is a principle block diagram of a smart factory personnel control device in one embodiment of the present application.

FIG. 9 is a schematic diagram of a device in an embodiment of the present application.

DETAILED DESCRIPTION

The present application is further described in detail below in conjunction with the accompanying drawings.

In one embodiment, as shown in FIG1 , the present application discloses a method for personnel management and control in a smart factory, which specifically includes the following steps:

S10: Obtain the identity information and image information of the internal personnel and establish an internal personnel image information database.

Specifically, the identity information and image information of internal personnel are obtained, such as through the employee database, human resources system or identity management platform, which includes detailed information such as the employee's name, work number, position and access rights. The image information can be obtained from the employee's ID card, security system or integrated biometric devices, such as facial recognition scanners. After obtaining this information, it is stored in a secure database or library dedicated to internal personnel images and identity data.

S20: Acquire a factory surveillance image, and identify a newly added person image in the factory surveillance image.

Specifically, real-time images of the factory area are captured by surveillance cameras as factory monitoring images, including continuous images of areas where personnel are expected to be active. Image recognition software or algorithms are used to process the monitoring images to identify and extract images of new individuals appearing in the monitoring area, and identify these images as newly added personnel.

S30: Compare the image of the newly added person with the internal person image information database to determine whether the newly added person corresponding to the image of the newly added person is an internal person, and execute corresponding control strategies on the newly added person according to the comparison result.

Specifically, the system compares the image of the newly added person with the internal personnel image information database to check whether the new individual has been registered in the internal personnel database. Based on the comparison results, the system implements specific management and control strategies. For example, if the person is identified as an internal person, access is allowed based on his or her permissions. If the person is not identified or is identified as an unauthorized person, the corresponding security protocol will be triggered, such as an alarm, access denial, or directing the person to the security department for further verification.

In one embodiment, as shown in FIG. 2 , in step S30, the corresponding control strategy is executed according to the comparison result, specifically including:

S31: When the newly added person image is successfully compared with the internal person image information database, the newly added person is marked as an internal person, the corresponding newly added person image is marked as an internal person image, and the internal person management and control strategy is implemented for the internal person.

Specifically, when the image of the new person is successfully matched with the internal person image information database, the system will first confirm the identity of the new person and mark him/her as an internal person, then update the internal person information database, add the image and identity information of the new person, and mark him/her as an internal person.

S32: When the comparison between the newly added person image and the internal person image information database fails, a visitor image information table is obtained, and the newly added person image is matched with the visitor image information table to obtain a visitor image matching result.

Specifically, when the image of a newly added person fails to match the internal person image information database, the system triggers the visitor identification process by obtaining the visitor image information table, which contains the registered visitor information, including name, access rights and visit time, etc. Then, the system matches the image of the newly added person with the visitor image information table.

S33: When the visitor image matching result is a successful match, the newly added person is marked as a visitor, the corresponding newly added person image is marked as a visitor person image, and the visitor control strategy is executed on the visitor.

Specifically, when the visitor image matching result is a successful match, the system will mark the newly added person as a visitor and mark the corresponding image as a visitor person image. Subsequently, the system will execute corresponding visitor management strategies for the visitor, such as issuing temporary passes, restricting access scope, or setting visitor guidance routes.

S34: When the visitor image matching result is a match failure, the newly added person is marked as an illegal person, the corresponding newly added person image is marked as an illegal person image, and the illegal person control strategy is implemented for the illegal person.

Specifically, when the visitor image matching result is a match failure, the system will mark the new person as an illegal person and mark the corresponding image as an illegal person image. Subsequently, the system will implement illegal person control strategies for illegal persons, such as immediate alarm, entry restriction, access denial and other security measures.

In one embodiment, as shown in FIG3 , in step S31, the internal personnel management and control strategy specifically includes:

S311: Conducting behavior analysis on the insider based on the insider image, and recording and reporting the insider behavior when it is detected that the insider behavior does not conform to the standard behavior norms for insiders.

Specifically, the system will conduct real-time analysis of the images of internal personnel, such as analysis of behavioral characteristics such as posture recognition, walking routes, and dwell time. If the system detects that the behavior of the internal personnel does not meet the preset standard behavioral norms for internal personnel, such as entering prohibited areas, carrying prohibited items, etc., the system will record the behavior of the internal personnel and report it.

S312: Determine whether the corresponding internal personnel is in a dangerous area based on the internal personnel image analysis, and handle the dangerous situation of the internal personnel if the internal personnel enters the dangerous area.

Specifically, the system will track the location of internal personnel based on their images and combine them with the dangerous area information in the factory monitoring images. Once the system determines that internal personnel may enter dangerous areas, such as approaching machinery and equipment, high-voltage areas or chemical storage areas, the system will issue an alarm and take corresponding dangerous situation handling measures.

In one embodiment, as shown in FIG. 4 , in step S312, judging whether the corresponding internal personnel is in a dangerous area according to the internal personnel image analysis specifically includes:

S3121: Mark and track the images of internal personnel in the factory monitoring images to obtain the real-time location of the internal personnel.

Specifically, the images of internal personnel are marked and tracked through factory monitoring images, such as through face recognition, real-time target detection and other technologies, to obtain the real-time location and identity information of internal personnel.

S3122: Monitor whether there is any dangerous situation in the factory area based on the factory monitoring images, and mark the location where the dangerous situation occurs when a dangerous situation occurs.

Specifically, the system will analyze in real time whether any dangerous situation occurs based on the factory monitoring images, such as monitoring high-risk areas based on computer vision technology. Once the monitoring images show significant changes within a preset time period, such as machine failure, leakage of hazardous substances, etc., the system will mark the location of the dangerous situation in the monitoring images.

S3123: Calculate the distance between the internal personnel and the location where the dangerous situation occurs based on the real-time location of the internal personnel. If the distance is less than the preset safety distance, determine that the corresponding internal personnel is in a dangerous area.

Specifically, the system will calculate the distance between the internal personnel and the location of the dangerous situation based on their real-time location, and determine whether the internal personnel are in the danger zone based on the preset safety distance standard.

In one embodiment, as shown in FIG5 , in step S33, i.e., the visitor control strategy, specifically includes:

S331: Mark and track the visitor's image in the factory monitoring image to obtain the visitor's real-time location.

Specifically, similar to the image tagging and tracking of internal personnel, the system can use computer vision technology to tag and track the images of visitor personnel, which will not be elaborated here.

S332: Compare the real-time location of the visitor with the visitor access area, and provide route guidance to the visitor based on the comparison result.

Specifically, the real-time location information of visitors is obtained through factory surveillance images. At the same time, the real-time location information of visitors is compared with the visitor access area according to the pre-set visitor access area. If the visitor is outside the access area or deviates from the preset route, the system can guide the visitor's route based on the comparison results, that is, the system provides visitors with corresponding navigation guidance to help them enter the target area correctly.

In one embodiment, as shown in FIG6 , in step S34, namely, the illegal personnel control strategy, specifically includes:

S341: Mark the image of the illegal person in the factory monitoring image and locate the position of the illegal person.

Specifically, when the system confirms that the person under surveillance is an illegal person, it marks the image of the illegal person and locates the real-time position of the illegal person.

S342: Generate an illegal person intrusion alarm and broadcast the illegal person's location in real time.

Specifically, once the system confirms that an illegal person has broken in, an illegal person intrusion alarm is immediately triggered, and the location information of the illegal person is broadcast in real time to notify security personnel to take appropriate measures and ensure the safety of other people.

In one embodiment, as shown in FIG. 7 , before step S32, that is, before obtaining the visitor image information table, the following steps are further included:

S3201: Enter the visitor's identity information and extract the corresponding visitor's image features.

Specifically, the system obtains the visitor's image by photographing with a camera or by the visitor uploading photos by himself, and uses image processing and computer vision technology to extract features from the visitor's image, such as extracting facial features.

S3202: Set the visitor access area according to the visitor's identity information.

Specifically, the access area is set according to the visitor's identity information, such as through area division in physical space or virtual area division in a digital environment.

S3203: Establish the association between visitor identity information, visitor image features and visitor access area, and create a visitor image information table.

Specifically, the visitor's identity information, image features, and access area data are associated and stored in a database, so that the access area can be queried based on the visitor's identity information and image features. At the same time, the visitor information can be updated and managed at any time.

It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

In one embodiment, a smart factory personnel control device is provided, which corresponds to the smart factory personnel control method in the above embodiment. As shown in FIG8 , the smart factory personnel control device includes an internal personnel identity entry module, a new personnel image recognition module, and a new personnel control processing module. Each functional module is described in detail as follows:

Internal personnel identity entry module, used to obtain the identity information and image information of internal personnel and establish an internal personnel image information database;

A new person image recognition module is used to obtain a factory monitoring image and recognize a new person image in the factory monitoring image;

The new personnel management and control processing module is used to compare the new personnel image with the internal personnel image information database, determine whether the new personnel corresponding to the new personnel image is an internal personnel, and execute the corresponding management and control strategy for the new personnel according to the comparison result.

Optionally, new personnel management and control processing modules include:

The internal personnel control submodule is used to mark the newly added personnel as internal personnel and the corresponding newly added personnel image as internal personnel image when the image of the newly added personnel is successfully compared with the internal personnel image information database, and to implement the internal personnel control strategy for the internal personnel;

The visitor image matching submodule is used to obtain the visitor image information table when the newly added person image fails to be compared with the internal person image information database, match the newly added person image with the visitor image information table, and obtain the visitor image matching result;

The visitor personnel control submodule is used to mark the newly added person as a visitor, mark the corresponding newly added person image as a visitor personnel image, and execute the visitor control strategy on the visitor when the visitor image matching result is a successful match;

The illegal personnel control submodule is used to mark the newly added personnel as illegal personnel and the corresponding newly added personnel image as illegal personnel image when the visitor image matching result is a match failure, and implement the illegal personnel control strategy for the illegal personnel.

Optional, internal personnel control submodules include:

An insider behavior analysis unit is used to analyze the behavior of insiders based on insider images, and record and report the behavior of insiders when it is detected that the behavior of insiders does not meet the standard behavior norms of insiders;

The internal personnel danger handling unit is used to determine whether the corresponding internal personnel is in a dangerous area based on the internal personnel image analysis, and to handle the dangerous situation of the internal personnel when the internal personnel enters the dangerous area.

Optional, insider hazard handling unit includes:

The internal personnel position acquisition subunit is used to mark and track the internal personnel image in the factory monitoring image and obtain the real-time position of the internal personnel;

The dangerous position acquisition subunit is used to monitor whether there is a dangerous situation in the factory area based on the factory area monitoring image, and mark the location where the dangerous situation occurs when a dangerous situation occurs;

The insider danger identification subunit is used to calculate the distance between the insider and the location where the dangerous situation occurs based on the real-time location of the insider. When the distance is less than the preset safety distance, it is determined that the corresponding insider is in a dangerous area.

Optional, visitor personnel control submodules include:

A visitor location acquisition unit is used to mark and track visitor images in the factory monitoring images to obtain the real-time location of the visitor;

The visitor route guidance unit is used to compare the real-time location of the visitor with the visitor access area, and provide route guidance to the visitor based on the comparison result.

Optional, illegal personnel control submodules include:

Illegal personnel positioning unit, used to mark illegal personnel images in factory monitoring images and locate illegal personnel positions;

The illegal intrusion processing unit is used to generate an illegal person intrusion alarm and broadcast the illegal person's location in real time.

For the specific definition of the smart factory personnel control device, please refer to the definition of the smart factory personnel control method above, which will not be repeated here. Each module in the above-mentioned smart factory personnel control device can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG9 . The computer device includes a processor, a memory, a network interface, and a database connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for personnel management and control of a smart factory is implemented.

In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

Obtain the identity information and image information of internal personnel and establish an internal personnel image information database;

Acquire factory surveillance images and identify newly added personnel images in the factory surveillance images;

The image of the newly added personnel is compared with the internal personnel image information database to determine whether the newly added personnel corresponding to the image of the newly added personnel is an internal personnel, and the corresponding management and control strategy is implemented for the newly added personnel based on the comparison result.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain the identity information and image information of internal personnel and establish an internal personnel image information database;

Acquire factory surveillance images and identify newly added personnel images in the factory surveillance images;

The image of the newly added personnel is compared with the internal personnel image information database to determine whether the newly added personnel corresponding to the image of the newly added personnel is an internal personnel, and the corresponding management and control strategy is implemented for the newly added personnel based on the comparison result.

Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims (10)

1. A method for personnel management and control in a smart factory, characterized in that the method for personnel management and control in a smart factory comprises: Obtain the identity information and image information of internal personnel and establish an internal personnel image information database; Acquire a factory surveillance image, and identify an image of a new person in the factory surveillance image; The newly added person image is compared with the internal person image information database to determine whether the newly added person corresponding to the newly added person image is an internal person, and a corresponding management and control strategy is executed on the newly added person according to the comparison result. 2. The method for personnel management and control of a smart factory according to claim 1, characterized in that the corresponding management and control strategy is executed according to the comparison result, specifically comprising: When the newly added person image is successfully compared with the internal person image information database, the newly added person is marked as an internal person, the corresponding newly added person image is marked as an internal person image, and the internal person management and control strategy is executed on the internal person; When the comparison between the newly added person image and the internal person image information database fails, obtaining a visitor image information table, matching the newly added person image with the visitor image information table, and obtaining a visitor image matching result; If the visitor image matching result is a successful match, the newly added person is marked as a visitor, the corresponding image of the newly added person is marked as a visitor person image, and a visitor control strategy is executed on the visitor; In the case that the visitor image matching result is a match failure, the newly added person is marked as an illegal person, the corresponding image of the newly added person is marked as an illegal person image, and an illegal person control strategy is implemented for the illegal person. 3. The smart factory personnel management method according to claim 2, characterized in that the internal personnel management strategy specifically includes: Performing behavior analysis on the insider based on the insider image, and recording and reporting the insider behavior when it is detected that the insider behavior does not conform to the standard behavior norms of the insider; It is determined whether the corresponding insider is in a dangerous area based on the insider image analysis, and if the insider enters the dangerous area, the dangerous situation of the insider is handled. 4. The smart factory personnel management method according to claim 3 is characterized in that the step of analyzing the internal personnel image and determining whether the corresponding internal personnel is in a dangerous area specifically comprises: Marking and tracking the image of the internal personnel in the factory monitoring image to obtain the real-time location of the internal personnel; Monitor whether there is any dangerous situation in the factory area according to the factory area monitoring image, and mark the location where the dangerous situation occurs when the dangerous situation occurs; The distance between the insider and the location where the dangerous situation occurs is calculated according to the real-time location of the insider. When the distance is less than a preset safety distance, it is determined that the corresponding insider is in a dangerous area. 5. The method for personnel management and control in a smart factory according to claim 2, wherein the visitor management and control strategy specifically includes: Marking and tracking the visitor image in the factory monitoring image to obtain the visitor's real-time location; The real-time location of the visitor is compared with the visitor access area, and the visitor is guided on a route according to the comparison result. 6. The smart factory personnel management method according to claim 2, characterized in that the illegal personnel management strategy specifically includes: Marking the illegal person image in the factory monitoring image and locating the illegal person's position; Generate an illegal person intrusion alarm and broadcast the illegal person's location in real time. 7. The method for managing and controlling personnel in a smart factory according to claim 2, characterized in that before obtaining the visitor image information table, it also includes: Enter the visitor's identity information and extract the corresponding visitor's image features; Setting a visitor access area according to the visitor identity information; Establish an association between the visitor identity information, the visitor image features and the visitor access area, and create a visitor image information table. 8. A smart factory personnel control device, characterized in that the smart factory personnel control device comprises: Internal personnel identity entry module, used to obtain the identity information and image information of internal personnel and establish an internal personnel image information database; A new person image recognition module is used to obtain a factory monitoring image and recognize a new person image in the factory monitoring image; The new personnel management and control processing module is used to compare the new personnel image with the internal personnel image information database, determine whether the new personnel corresponding to the new personnel image is an internal personnel, and execute the corresponding management and control strategy for the new personnel according to the comparison result. 9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the smart factory personnel management method as described in any one of claims 1 to 7 when executing the computer program. 10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of the smart factory personnel management method according to any one of claims 1 to 7.