Area intrusion management system

Abstract

This invention relates to the field of regional security management technology and discloses a regional intrusion control system, including a hardware execution module and a software management module. The hardware execution module includes a field monitoring unit, a face capture and verification unit, an electromagnetic lock control unit, a remote I / O communication unit, and an uninterruptible power supply unit, used to realize image acquisition, personnel identity acquisition, and access control execution. The software management module includes a permit management submodule, a face comparison and verification submodule, a visual analysis and recognition submodule, an equipment linkage control submodule, and an anomaly early warning submodule, used to realize permit management, identity comparison, operational compliance analysis, and linkage control. Through the linkage of software and hardware, accurate identification and dynamic control of intrusion behavior in the controlled area can be achieved, improving the reliability and real-time performance of regional security management.

Description

Technical Field

[0001] This invention relates to the field of security control technology, specifically to a regional intrusion control system. Background Technology

[0002] With the increasing demands for safety management in industrial enterprises, high-risk workplaces, and special production areas, intelligent access control and process monitoring technologies for restricted areas are gradually being widely applied. Existing area safety management systems have evolved from traditional manual inspections and mechanical access control to intelligent management and control models that combine identity recognition, video surveillance, and network communication. In particular, in scenarios such as gas areas, hazardous materials storage areas, high-pressure work areas, and special production workshops, in order to reduce the safety risks caused by unauthorized personnel entering and violating regulations, access control equipment, surveillance cameras, and back-end management platforms are typically used to verify the identity of personnel entering the area and manage the area, thereby improving the efficiency and automation level of area safety management.

[0003] However, most existing technologies only verify identity at the entry point, and there is no effective correlation between access permissions and specific work tasks, work time, and work scenarios. This makes it easy for authorized personnel to enter the area under conditions other than those corresponding to the work. At the same time, existing systems lack the ability to continuously and intelligently identify personnel status, safety equipment wearing status, and on-site work compliance during the work process, making it difficult to detect abnormal behavior in a timely manner. Summary of the Invention

[0004] The technical objective of this invention is to provide a regional intrusion control system to improve the security and intelligence level of access management and operational process supervision in controlled areas.

[0005] To achieve the above-mentioned technical objectives, the present invention provides the following technical solution: The present invention provides a regional intrusion control system, comprising a hardware execution module and a software control module, wherein the hardware execution module and the software control module are communicatively connected. The hardware execution module includes a field monitoring unit, a face capture and verification unit, an electromagnetic lock control unit, a remote I / O communication unit, and an uninterruptible power supply unit. The field monitoring unit is used to collect on-site image information within the controlled area. The face capture and verification unit is used to collect the face information of personnel to be entered and generate facial feature data. The electromagnetic lock control unit is located at the entrance of the controlled area and is used to control the opening or locking of the entrance door. The remote I / O communication unit is communicatively connected to both the electromagnetic lock control unit and the software control module, and is used to receive control commands and execute equipment linkage control. The software management module includes a permit management submodule, a face comparison verification submodule, a visual analysis and recognition submodule, an equipment linkage control submodule, a full-process data recording submodule, and an anomaly warning submodule. The permit management submodule generates and stores permit application data, which includes at least applicant information, work task information, access area information, and access time period information. The face comparison verification submodule compares the face feature data with the authorized face feature data in the permit application data and outputs the identity verification result. The visual analysis and recognition submodule analyzes on-site image information to identify the number of workers and the status of their safety equipment, and outputs a compliance judgment result. The equipment linkage control submodule generates door lock control commands or anomaly warning commands based on the identity verification result and the compliance judgment result. The anomaly warning submodule outputs alarm information when an abnormal state is identified.

[0006] Furthermore, the full-process data recording submodule is used to store license applications, identity verification, door lock status, operation monitoring, and abnormal warning information.

[0007] The regional intrusion control system implements closed-loop control according to the process of permit application and approval, facial recognition access verification, operation process monitoring, and operation completion confirmation.

[0008] Furthermore, the permit management submodule establishes a binding relationship between the applicant, the task, the access area, and the access time period; the face comparison verification submodule only outputs a verification pass result when the applicant matches the corresponding task, access area, and access time period.

[0009] Preferably, the visual analysis and recognition submodule has a built-in target detection model, which is used to identify personnel targets and safety equipment targets in the on-site image, and to detect the two-person operation status and alarm wearing status of the work site in real time.

[0010] More preferably, when the visual analysis and recognition submodule detects that the number of workers is lower than a preset number threshold or that the workers have not been wearing safety equipment for a preset period of time, it generates an abnormal status signal and sends it to the abnormal warning submodule.

[0011] Specifically, when the authentication result is successful, the device linkage control submodule sends an opening command to the electromagnetic lock control unit through the remote IO communication unit to control the entrance door to open; when an abnormal status signal is received, an alarm control signal is output through the remote IO communication unit.

[0012] Furthermore, the electromagnetic lock control unit includes a drive circuit, a Hall effect status sensor, and an anti-pry detection sensor; the Hall effect status sensor is used to detect the door's open / closed state; the anti-pry detection sensor is used to detect abnormal disassembly; both the Hall effect status sensor and the anti-pry detection sensor are electrically connected to the remote I / O communication unit.

[0013] Preferably, the full-process data recording submodule adopts a relational database to associate and store permit application data, approval data, face verification data, door lock status data, operation monitoring data, and abnormal warning data, and supports traceability queries based on personnel, time period, or region.

[0014] Preferably, the uninterruptible power supply unit is used to supply power to the on-site monitoring unit, the face acquisition and verification unit, the electromagnetic lock control unit, and the remote IO communication unit; the uninterruptible power supply unit has a built-in power monitoring module, which is communicatively connected to the software management module and is used to provide feedback on power supply status information.

[0015] The beneficial effects of this invention are as follows: 1. This invention integrates modular units for face comparison verification, visual analysis and recognition, and equipment linkage control into the software management module, and combines them with the on-site monitoring unit, face acquisition and verification unit, and electromagnetic lock control unit of the hardware execution module to achieve dual real-time verification of personnel identity and on-site operation compliance. Based on the verification results, it automatically controls the opening and closing of the entrance door and outputs abnormal warnings. Thus, through the closed-loop linkage of data acquisition, feature comparison, image recognition, and execution control, it effectively improves the accuracy and real-time response of area intrusion control and reduces the security risks caused by illegal entry and non-compliant operations.

[0016] 2. This invention uses a license management submodule to associate and bind applicants, work tasks, access areas, and access time periods. It also introduces a multi-dimensional access condition matching mechanism during the identity verification process, so that the face comparison verification results not only rely on biometric consistency but also combine business permission constraints for joint judgment, thereby improving the constraint accuracy of identity verification and avoiding the risk of misjudgment or impersonation caused by single face recognition.

[0017] 3. The present invention also sets up a full-process data recording submodule to associate and store license application data, face verification data, door lock status data and operation monitoring data, and combines an uninterruptible power supply unit and a power monitoring module to achieve continuous power supply guarantee and status feedback for system operation status. This enables the system to maintain continuous recording and traceability of key data even in the event of abnormal power outages or status fluctuations, thereby enhancing the stability of system operation and post-event audit and analysis capabilities. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] The above and other aspects of the invention will now be described by way of example only, with reference to the accompanying drawings, in which: Figure 1 This is a schematic diagram of the system modules according to an embodiment of the present invention. Detailed Implementation

[0020] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0021] like Figure 1 As shown, this embodiment provides a regional intrusion control system, including a hardware execution module and a software control module. The two establish a bidirectional communication connection through Ethernet. The Ethernet preferably adopts the TCP / IP communication architecture in an enterprise LAN environment to realize the unified transmission and interaction of image data, feature data and control commands.

[0022] The hardware execution module includes a field monitoring unit, a face capture and verification unit, an electromagnetic lock control unit, a remote IO communication unit, and an uninterruptible power supply unit. The field monitoring unit uses high-definition network cameras with a resolution of no less than 4 million pixels, preferably cameras with infrared night vision and low-light compensation functions. These cameras are deployed at least three locations, including the entrance, the core work area, and the passageway nodes. The real-time video stream is transmitted to the visual analysis and recognition submodule of the software control module via the RTSP protocol to achieve continuous monitoring of personnel activities and work status.

[0023] The face acquisition and verification unit includes a 2-megapixel CMOS camera, a face preprocessing module, an Ethernet transmission module, and a 7-inch touch screen. It is installed on the right side of the entrance gate, 1.5 meters above the ground. The face preprocessing module performs grayscale processing, Gaussian filtering for noise reduction, and LBP feature extraction on the acquired images, and generates a standardized face feature vector. This vector is then sent to the face comparison and verification submodule of the software control module via TCP / IP protocol, realizing feature-level recognition and transmission of access identity.

[0024] The electromagnetic lock control unit adopts a magnetic electromagnetic lock structure with an attraction force of not less than 280kg. It includes a drive circuit, a Hall state sensor, and an anti-pry detection sensor. The drive circuit is electrically connected to the DO digital output interface of the remote IO communication unit to receive unlocking or locking control signals. The Hall state sensor is used to detect the door's open or closed state and output a door magnetic feedback signal. The anti-pry detection sensor is used to detect illegal disassembly or external damage. Both are electrically connected to the DI digital input interface of the remote IO communication unit to realize real-time closed-loop feedback control of the door's state.

[0025] The remote IO communication unit adopts an industrial-grade RJ45 remote IO module, preferably the Advantech ADAM-6050 device, which has at least 6 DI / DO interfaces and supports the Modbus TCP protocol. It connects to the enterprise LAN environment via RJ45 Ethernet and serves as an intermediate control hub between the electromagnetic lock control unit and the software management module, realizing unified management of control command issuance and status signal feedback.

[0026] The uninterruptible power supply unit adopts a UPS uninterruptible power supply structure with a switching time of no more than 10ms. It provides continuous power to the on-site monitoring unit, face collection and verification unit, electromagnetic lock control unit and remote IO communication unit through a power distributor. It preferably adopts the configuration of SANTAK C1K UPS equipment and has a built-in power monitoring module. This module communicates with the software management module to provide real-time feedback on power supply status information and triggers an early warning when the power is below 20%.

[0027] The software management module is developed based on the .NET 8.0 framework and C# language, runs on the industrial control computer terminal, and uses WPF to build the human-machine interface. It includes a license management submodule, a face comparison verification submodule, a visual analysis and recognition submodule, an equipment linkage control submodule, a full-process data recording submodule, and an anomaly early warning submodule.

[0028] The permit management submodule is used to generate permit application forms. The forms must include at least the applicant's information, facial image, access time period, and operator information, and support a multi-level approval workflow mechanism. After approval, the permit data is synchronized to the facial comparison verification submodule through database transactions to form a unified set of permission data. The access time period preferably adopts a start and end time window structure and is validated at the minute level.

[0029] The face comparison and verification submodule has a built-in face feature comparison algorithm. It calculates the similarity between the feature vector uploaded by the face acquisition and verification unit and the authorized feature vector in the permission data. It preferably adopts a feature matching method based on cosine similarity or Euclidean distance. The similarity threshold is set to be no less than 95%. When the similarity meets the threshold requirement, the verification result is output. Otherwise, the rejection result is output, thereby achieving high-precision identity access control.

[0030] The visual analysis and recognition submodule incorporates a YOLOv8n target detection model, trained on approximately 10,000 labeled samples of personnel and portable gas detectors, iterating through approximately 200 rounds to achieve a recognition accuracy of approximately 98%. It is used to analyze the video stream transmitted by the on-site monitoring unit in real time, identify the number of personnel and the status of safety equipment wearing, and determine the status of two-person operations. When the number of personnel detected is below the two-person threshold or the duration of safety equipment not being worn exceeds 5 to 10 seconds, an abnormal status signal is generated and transmitted to the abnormal warning submodule.

[0031] The equipment linkage control submodule is used to receive the face verification result and visual recognition result, and generate corresponding control strategies. When the verification is successful and the operation is compliant, it sends a door lock opening command to the remote IO communication unit through the TCP / IP protocol, and the remote IO communication unit drives the electromagnetic lock control unit to perform the unlocking action. When an abnormal state is detected, an alarm control signal is generated and the audible and visual alarm and the software warning output are triggered simultaneously.

[0032] The full-process data recording submodule adopts the SQL Server 2022 relational database structure and is deployed on the server device. It uniformly stores license application data, approval data, face verification data, door lock status data, operation monitoring data and abnormal warning data, and establishes indexes based on personnel, time and region dimensions to realize the correlation query and traceability analysis of the full-process data.

[0033] The anomaly warning submodule is used to receive abnormal signals from the equipment linkage control submodule and the visual analysis and recognition submodule, and realize multi-channel warning output such as software pop-up prompts, sound and light alarm linkage, and SMS or email push.

[0034] In another embodiment, the license application data is further defined as a structured data set, which includes at least the applicant's identifier, job task information, access area information, and access time period information. The applicant's identifier is bound to facial feature data and managed by a unique permission ID. This permission ID is preferably generated by a combination of "personnel number + timestamp" to ensure uniqueness and traceability.

[0035] In another embodiment, the visual analysis and recognition submodule further introduces a human posture key point detection algorithm to extract key points of the human skeleton and construct a posture model. When the confidence of the key point is lower than 0.6, it is determined to be an invalid working state, thereby filtering out interference from static standing or non-working behaviors and improving the stability and accuracy of compliance judgment.

[0036] In another embodiment, the electromagnetic lock control unit is further limited to a Hall state sensor response time of no more than 50ms, used to provide real-time feedback on changes in the door's opening and closing status; when the anti-pry detection sensor detects abnormal dismantling behavior, it immediately outputs an alarm signal to the remote IO communication unit and triggers system-level abnormal linkage, thereby enhancing the door's security protection capabilities.

[0037] In another embodiment, the end-to-end data recording submodule further supports a transactional consistency storage mechanism and achieves millisecond-level data retrieval capabilities based on personnel, time periods, and regions through a multi-condition index structure. It also supports chain-based tracing analysis of abnormal events to improve the efficiency of security auditing and review.

[0038] In another embodiment, the uninterruptible power supply unit is further configured as a dual-power supply structure of lithium battery pack and mains power. The battery capacity is preferably in the range of 7Ah to 20Ah, which can achieve a power outage endurance of 2 hours to 8 hours. When the battery level is lower than 20%, a graded early warning mechanism is triggered through the software management module to ensure that the system can maintain continuous operation of core functions under abnormal power supply conditions.

[0039] The description herein is provided to enable those skilled in the art to implement or use the present disclosure. Various modifications to the present disclosure will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other variations without departing from the scope of the disclosure. Therefore, this disclosure is not limited to the examples and designs described herein, but should be given the broadest scope consistent with the principles and novel features disclosed herein.

[0040] Although one or more exemplary embodiments of this disclosure have been described with reference to the accompanying drawings, those skilled in the art will understand that various changes in form and detail may be made therein without departing from the spirit and scope of this disclosure as defined by the appended claims.

[0041] The foregoing description is merely illustrative of this disclosure, and modifications may be made to the invention in light of the above detailed description. The terminology used in the appended claims should not be construed as limiting the invention to the specific embodiments disclosed in the specification. Rather, the scope of the invention will be fully defined by the appended claims, which will be interpreted according to established principles of claim interpretation.

Claims

1. A regional intrusion management system, characterized by, It includes a hardware execution module and a software control module, wherein the hardware execution module and the software control module are communicatively connected; The hardware execution module includes: The on-site monitoring unit is used to collect on-site image information within the controlled area; The face capture and verification unit is used to capture the face information of people to be entered and generate face feature data; An electromagnetic lock control unit is installed at the entrance of the controlled area to control the opening or locking of the entrance door. The remote I / O communication unit is connected to both the electromagnetic lock control unit and the software management module. The software management module includes: The license application management submodule is used to generate and store license application data; The face comparison and verification submodule is used to compare the face feature data with the authorized face feature data in the license application data and output the identity verification result; The visual analysis and recognition submodule is used to identify the number of workers and the status of their safety equipment through image analysis, and output compliance judgment results. The device linkage control submodule is used to generate door lock control commands or abnormal warning commands based on the authentication results and compliance judgment results; The anomaly warning submodule is used to output alarm information when an abnormal state is identified.

2. The area intrusion management system according to claim 1, wherein The permit application data includes at least information on the applicant, work task, access area, and access time period; the permit management submodule establishes a binding relationship between the applicant, work task, access area, and access time period. The face comparison verification submodule outputs a verification pass result when the applicant matches the corresponding job task, access area, and access time period.

3. The area intrusion management system of claim 1, wherein, The visual analysis and recognition submodule has a built-in target detection model, which is used to identify personnel targets and safety equipment targets in the on-site image, and to detect the two-person operation status and alarm wearing status of the work site in real time.

4. The area intrusion management system according to claim 3, wherein When the visual analysis and recognition submodule detects that the number of workers is lower than a preset threshold or that workers have not been wearing safety equipment for a preset duration, it generates an abnormal status signal and sends it to the abnormal warning submodule.

5. The area intrusion management system of claim 1, wherein, When the authentication result is successful, the device linkage control submodule sends an opening command to the electromagnetic lock control unit through the remote IO communication unit to control the entrance door to open. Upon receiving an abnormal status signal, an alarm control signal is output through the remote IO communication unit.

6. The area intrusion management system of claim 1, wherein, The electromagnetic lock control unit includes a drive circuit, a Hall state sensor, and an anti-pry detection sensor. The Hall effect sensor is used to detect the opening and closing status of the door. The anti-pry detection sensor is used to detect abnormal disassembly. Both the Hall state sensor and the anti-pry detection sensor are electrically connected to the remote I / O communication unit.

7. The area intrusion management system of claim 1, wherein, It also includes a full-process data recording submodule, which uses a relational database to associate and store permit application data, approval data, face verification data, door lock status data, operation monitoring data, and abnormal warning data, and supports retrieval by personnel, time period, or region.

8. The area intrusion management system of claim 1, wherein, It also includes an uninterruptible power supply unit, which is used to supply power to the on-site monitoring unit, the face acquisition and verification unit, the electromagnetic lock control unit and the remote IO communication unit; The uninterruptible power supply unit has a built-in power monitoring module, which is communicatively connected to the software control module to provide feedback on power supply status information.

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