Intelligent anti-theft system based on perimeter electronic fence

Abstract

The invention relates to the field of intelligent electronic fences, and discloses an intelligent anti-theft system based on a perimeter electronic fence, and the system comprises an electronic fence device which is used for monitoring a preset perimeter region; the multi-dimensional sensing module is connected with the electronic fence device and used for collecting various types of information of the surrounding environment; the data processing and analyzing module is connected with the multi-dimensional sensing module and is used for carrying out fusion processing and intelligent analysis on the collected various types of information so as to judge whether an intrusion behavior exists or not; and the alarm module is connected with the data processing and analyzing module and is used for sending out an alarm signal when the existence of the intrusion behavior is judged. A multi-dimensional sensing module is innovatively integrated, a plurality of advanced devices such as a millimeter wave radar sensor, a camera and a vibration sensor are covered, each sensor is tightly connected with a data processing and analyzing module through a signal transmission line, and it is ensured that collected multi-element information can be stably transmitted to a data processing center in real time.

Description

Technical Field

[0001] The present invention relates to the field of intelligent electronic fences, and in particular to an intelligent anti-theft system based on perimeter electronic fences. Background Art

[0002] Perimeter electronic fencing is an advanced perimeter anti-theft alarm system consisting of an electronic fence host and a front-end detection fence. The electronic fence host generates and receives high-voltage pulse signals. When the front-end detection fence is in a contact, short-circuit, or open state, it generates an alarm signal and transmits an intrusion signal to a security alarm center. It provides blocking and deterrent effects, as well as intelligent alarm functions with a very low false alarm rate. It also features an alarm interface that can be linked with other security systems to enhance the system's security level. However, existing anti-theft systems based on perimeter electronic fencing still have some problems.

[0003] Traditional perimeter electronic fence anti-theft systems often rely on single sensors for detection, such as infrared radiation and microwave detection. These sensors often perform poorly in complex environments. For example, infrared radiation is easily affected by factors such as weather changes and animal interference, resulting in a high false alarm rate. Microwave detection, on the other hand, can miss reports due to issues like microwave reflection, making it difficult to accurately identify disguised intrusions and complex intrusion methods. Furthermore, most existing perimeter electronic fence anti-theft systems use fixed parameter settings and are unable to automatically adjust their operating state to changing environments. System performance can fluctuate significantly under varying weather conditions and perimeter environments, requiring frequent manual intervention to maintain proper operation. This not only increases operational costs but can also cause the system to malfunction at critical moments, failing to meet the intelligent operational requirements of modern security systems. Furthermore, after an alarm is triggered, traditional electronic fence systems require security personnel to spend a significant amount of time locating the incident location, making them incapable of remote monitoring and management.

[0004] Therefore, those skilled in the art have proposed an intelligent anti-theft system based on perimeter electronic fences to solve the above problems. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides an intelligent anti-theft system based on a perimeter electronic fence, which solves the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent anti-theft system based on perimeter electronic fence, comprising:

[0007] Electronic fence device, used to monitor the preset perimeter area;

[0008] A multi-dimensional perception module, connected to the electronic fence device, for collecting various types of information about the surrounding environment;

[0009] A data processing and analysis module, connected to the multi-dimensional perception module, is used to integrate and intelligently analyze the collected various types of information to determine whether there is intrusion;

[0010] An alarm module, connected to the data processing and analysis module, for issuing an alarm signal when an intrusion is detected;

[0011] The adaptive adjustment module is connected to the data processing and analysis module and is used to automatically adjust relevant parameters of the system according to changes in the surrounding environment.

[0012] Preferably, the multi-dimensional perception module includes a millimeter-wave radar sensor, a camera and a vibration sensor, and the millimeter-wave radar sensor, camera and vibration sensor are respectively connected to the data processing and analysis module through signal transmission lines, for transmitting the collected information to the data processing and analysis module.

[0013] Preferably, the data processing and analysis module includes a data fusion unit and an intelligent analysis unit. The data fusion unit is connected to the multi-dimensional perception module and is used to receive and fuse information from the multi-dimensional perception module. The intelligent analysis unit is connected to the data fusion unit and is used to analyze and process the fused information.

[0014] Preferably, the intelligent analysis unit analyzes and processes the fused information based on a deep learning algorithm to determine whether there is an intrusion behavior. The model of the deep learning algorithm is stored in the storage unit of the data processing and analysis module. The storage unit is connected to the intelligent analysis unit to provide model data for the intelligent analysis unit.

[0015] Preferably, it also includes a positioning and tracking module, which is connected to the data processing and analysis module and is used to receive the intrusion behavior judgment result sent by the data processing and analysis module, and locate and track the intruder when it is judged that there is intrusion behavior.

[0016] Preferably, the positioning and tracking module includes an ultra-wideband positioning unit and a Bluetooth positioning unit, and the ultra-wideband positioning unit and the Bluetooth positioning unit are respectively connected to the data processing and analysis module for sending positioning information to the data processing and analysis module.

[0017] Preferably, the positioning and tracking module is connected to the video surveillance system, and is used to send positioning information to the video surveillance system to control the camera of the video surveillance system to perform tracking and shooting; the camera of the video surveillance system is connected to the positioning and tracking module, and is used to receive the control signal sent by the positioning and tracking module and perform corresponding shooting operations.

[0018] Preferably, the adaptive adjustment module includes an environmental information acquisition unit, a parameter adjustment unit and a control execution unit. The environmental information acquisition unit is connected to the data processing and analysis module and is used to receive the environmental information sent by the data processing and analysis module. The parameter adjustment unit is connected to the environmental information acquisition unit and is used to generate parameter adjustment instructions based on the environmental information. The control execution unit is connected to the parameter adjustment unit and the multi-dimensional perception module and the data processing and analysis module and is used to send parameter adjustment instructions to the multi-dimensional perception module and the data processing and analysis module to adjust the working parameters of the multi-dimensional perception module and the data processing and analysis module.

[0019] Preferably, the alarm module includes a local sound and light alarm unit and a remote information push unit. The local sound and light alarm unit is connected to the data processing and analysis module, and is used to receive the alarm signal sent by the data processing and analysis module and perform sound and light alarm. The remote information push unit is connected to the data processing and analysis module, and is used to receive the alarm information sent by the data processing and analysis module and send the alarm information to the preset monitoring center, security personnel and relevant person in charge mobile terminals.

[0020] The present invention provides an intelligent anti-theft system based on perimeter electronic fences. It has the following beneficial effects:

[0021] 1. This invention innovatively integrates a multi-dimensional perception module, encompassing a variety of advanced devices such as millimeter-wave radar sensors, cameras, and vibration sensors. Each sensor is tightly connected to a data processing and analysis module via signal transmission lines, ensuring the real-time and stable transmission of collected, multi-faceted information to a data processing center. This innovative combination of multi-dimensional perception and deep learning overcomes the limitations of traditional single-sensor detection, effectively addressing the difficulty in identifying disguised and complex intrusions. It significantly reduces false alarm and missed alarm rates, ensuring the system can accurately detect real intrusions in a variety of complex environments, and providing an unprecedented, highly reliable monitoring method for perimeter security.

[0022] 2. The anti-theft system of the present invention is equipped with an adaptive adjustment module, which consists of an environmental information acquisition unit, a parameter adjustment unit, and a control execution unit. It realizes dynamic adjustment of key working parameters such as sensor sensitivity, data acquisition frequency, and analysis algorithm parameters. This innovative adaptive adjustment mechanism enables the system to quickly and intelligently respond to complex and changeable weather conditions and changes in the perimeter environment, and can always maintain the best working state without frequent human intervention. Compared with the traditional anti-theft system with fixed parameter settings, the stability and reliability of this system in different environments have made a qualitative leap, greatly improving the intelligent operation and maintenance level of the anti-theft system, reducing the system performance fluctuations and failure risks caused by environmental factors, and ensuring that perimeter security work can operate efficiently around the clock and without interruption.

[0023] 3. This invention creatively introduces a positioning and tracking module and deeply integrates it with the data processing and analysis module. When the data processing and analysis module determines that an intrusion has occurred, the positioning and tracking module quickly activates, leveraging the combined advantages of ultra-wideband positioning technology and Bluetooth positioning technology to accurately locate the intruder in real time and feed the positioning information back to the data processing and analysis module. Simultaneously, the positioning and tracking module establishes a close communication connection with the video surveillance system, enabling timely transmission of positioning information to the video surveillance system, thereby precisely controlling the camera's direction and focus adjustment, enabling continuous tracking and filming of the intruder. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is the overall flow chart of the present invention;

[0025] Figure 2 is a data processing and analysis flow chart of the present invention;

[0026] Figure 3 This is a flow chart of the adaptive adjustment of the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the present specification. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Please see the attached Figure 1 -Attached Figure 3 , an embodiment of the present invention provides an intelligent anti-theft system based on a perimeter electronic fence, including an electronic fence device for monitoring a preset perimeter area;

[0029] The multi-dimensional perception module is connected to the electronic fence device and is used to collect various types of information about the surrounding environment. The multi-dimensional perception module includes a millimeter-wave radar sensor, a camera, and a vibration sensor. The millimeter-wave radar sensor, the camera, and the vibration sensor are respectively connected to the data processing and analysis module through signal transmission lines to transmit the collected information to the data processing and analysis module.

[0030] Specifically, the electronic fence system is responsible for real-time monitoring of the pre-defined perimeter area. By emitting and receiving high-voltage pulse signals, it forms an invisible protective barrier that effectively blocks and deters potential intruders. The multi-dimensional perception module collects various types of information about the perimeter environment. This module includes multiple sensors, including millimeter-wave radar sensors, cameras, and vibration sensors. These sensors are connected to the data processing and analysis module via signal transmission lines.

[0031] Millimeter-wave radar sensors use electromagnetic waves in the millimeter-wave frequency band to detect the position, speed, and direction of target objects. They can operate in all-weather conditions, have strong penetration and anti-interference capabilities, and have high detection sensitivity for moving objects.

[0032] The camera captures video images of the perimeter area in real time, providing intuitive on-site pictures, helping monitoring personnel to intuitively understand the perimeter situation and also providing a basis for subsequent tracing.

[0033] Vibration sensors are used to sense vibrations on perimeter fences or other objects. When external forces such as impact or climbing occur, they can detect and generate corresponding signals in a timely manner.

[0034] By integrating multiple sensors, the multi-dimensional perception module can more comprehensively and accurately collect a wide range of information about the surrounding environment and transmit this information to the data processing and analysis module. This module integrates and intelligently analyzes this diverse information, incorporating deep learning algorithms to determine whether an intrusion has occurred. If an intrusion is detected, the system triggers the alarm module to issue an alarm signal. Simultaneously, the adaptive adjustment module automatically adjusts system parameters based on changes in the surrounding environment, ensuring optimal system operation at all times.

[0035] The data processing and analysis module is connected to the multi-dimensional perception module and is used to fuse and intelligently analyze the collected various types of information to determine whether there is intrusion behavior; the data processing and analysis module includes a data fusion unit and an intelligent analysis unit. The data fusion unit is connected to the multi-dimensional perception module and is used to receive and fuse information from the multi-dimensional perception module. The intelligent analysis unit is connected to the data fusion unit and is used to analyze and process the fused information.

[0036] Specifically, the data processing and analysis module's primary function is to integrate and intelligently analyze different types of information collected from various channels, including millimeter-wave radar sensors, cameras, and vibration sensors. This module consists of two parts: a data fusion unit and an intelligent analysis unit. The data fusion unit is directly connected to the multi-dimensional perception module and is responsible for receiving information from these various sensors and effectively fusing it to form a complete, comprehensive data set. The intelligent analysis unit, connected to the data fusion unit, conducts in-depth analysis and processing of this fused information. This process typically utilizes advanced deep learning algorithms, which perform pattern recognition and behavioral analysis on the fused information to accurately determine whether there has been intrusion within the perimeter area.

[0037] The alarm module is connected to the data processing and analysis module and is used to send an alarm signal when it is determined that there is an intrusion behavior;

[0038] The adaptive adjustment module, connected to the data processing and analysis module, automatically adjusts system parameters based on changes in the surrounding environment. The positioning and tracking module includes an ultra-wideband positioning unit and a Bluetooth positioning unit. Each of these units is connected to the data processing and analysis module to send positioning information to the module. The positioning and tracking module is connected to the video surveillance system to send positioning information to the system, controlling the system's cameras for tracking and filming. The system's cameras are connected to the positioning and tracking module to receive control signals from the positioning and tracking module and perform corresponding filming operations.

[0039] Specifically, the adaptive adjustment module is connected to the data processing and analysis module. Its function is to automatically adjust key system parameters such as sensor sensitivity, data acquisition frequency, and analysis algorithm parameters based on changes in the surrounding environment, ensuring that the system always operates optimally. The positioning and tracking module consists of an ultra-wideband positioning unit and a Bluetooth positioning unit, both of which are connected to the data processing and analysis module to transmit intruder location information. This module is also connected to the video surveillance system, responsible for transmitting positioning information to the system to control the camera for tracking and filming. The video surveillance system's camera is connected to the positioning and tracking module, receives control signals, and executes the corresponding filming operation, thereby accurately locating and tracking the intruder in real time.

[0040] The intelligent analysis unit analyzes and processes the fused information based on the deep learning algorithm to determine whether there is intrusion. The model of the deep learning algorithm is stored in the storage unit of the data processing and analysis module. The storage unit is connected to the intelligent analysis unit to provide model data for the intelligent analysis unit.

[0041] Specifically, the intelligent analysis unit uses a deep learning algorithm to analyze and process the integrated multi-type information to accurately determine whether an intrusion has occurred. The deep learning algorithm model is stored in a storage unit within the data processing and analysis module. This storage unit is connected to the intelligent analysis unit and provides it with the required model data. During information analysis, the intelligent analysis unit utilizes the model data provided by the storage unit to perform pattern recognition and behavior analysis, effectively determining whether an intrusion has occurred.

[0042] The following is the formula used by the intelligent analysis unit to determine intrusion behavior using a deep learning algorithm:

[0043] O i,j =f(Σ k W k ·X i+k,j +b);

[0044] Among them, O i,j is the output after convolution, W k is the weight of the convolution kernel, X i +k,j are input data, b is the bias term, and f is the activation function, such as the ReLU function f(x) = max(0,x). Pooling layers typically use max pooling or average pooling to downsample the convolutional feature map to reduce computation and prevent overfitting.

[0045] It also includes a positioning and tracking module, which is connected to the data processing and analysis module and is used to receive the intrusion behavior judgment results sent by the data processing and analysis module, and locate and track the intruder when it is judged that there is intrusion behavior.

[0046] Specifically, when the Data Processing and Analysis Module determines an intrusion, it sends this determination to the Positioning and Tracking Module. The Positioning and Tracking Module then uses its ultra-wideband and Bluetooth positioning units to precisely locate the intruder and track their movements in real time. Simultaneously, the Positioning and Tracking Module transmits the intruder's location information to the video surveillance system, triggering the camera to automatically adjust its shooting angle and focal length, continuously tracking the intruder and effectively recording the intruder.

[0047] The adaptive adjustment module includes an environmental information acquisition unit, a parameter adjustment unit, and a control execution unit. The environmental information acquisition unit is connected to the data processing and analysis module and is used to receive environmental information sent by the data processing and analysis module. The parameter adjustment unit is connected to the environmental information acquisition unit and is used to generate parameter adjustment instructions based on the environmental information. The control execution unit is connected to the parameter adjustment unit, the multi-dimensional perception module, and the data processing and analysis module and is used to send parameter adjustment instructions to the multi-dimensional perception module and the data processing and analysis module to adjust their operating parameters. The alarm module includes a local sound and light alarm unit and a remote information push unit. The local sound and light alarm unit is connected to the data processing and analysis module and is used to receive alarm signals sent by the data processing and analysis module and issue sound and light alarms. The remote information push unit is connected to the data processing and analysis module and is used to receive alarm information sent by the data processing and analysis module and send the alarm information to a preset monitoring center, security personnel, and the mobile terminals of relevant persons in charge.

[0048] Specifically, the environmental information collection unit is responsible for collecting various information about the surrounding environment in real time, including weather conditions, light intensity, temperature changes, and changes in the physical environment near the perimeter. This information is initially processed and transmitted through the data processing and analysis module.

[0049] Based on the environmental information provided by the environmental information acquisition unit, the parameter adjustment unit generates parameter adjustment instructions using pre-set algorithms and rules. These instructions are designed to optimize system performance, such as reducing the sensitivity of the vibration sensor in strong winds to reduce false alarms, or adjusting the camera's exposure time and frame rate in low-light conditions to improve image quality.

[0050] The control execution unit receives the instructions generated by the parameter adjustment unit and sends them to the multi-dimensional perception module and the data processing and analysis module. These instructions are used to adjust the sensor sensitivity, data acquisition frequency, and analysis algorithm parameters to ensure that the system can operate efficiently and accurately under different environmental conditions.

[0051] Through the coordinated work of these three units, the adaptive adjustment module can dynamically adjust the system parameters according to environmental changes, ensuring that the system is always in the best working state, reducing false alarms and missed alarms caused by environmental factors, and improving the stability and reliability of the system.

[0052] The alarm module is an important part of the system, responsible for issuing an alarm signal in a timely manner when an intrusion is detected. It consists of the following two main units:

[0053] Localized sound and light alarm unit: When the data processing and analysis module detects an intrusion, the localized sound and light alarm unit activates immediately, alerting the surrounding area with a high-decibel siren and a strong flashing light. This alarm is designed to deter intruders and attract the attention of nearby personnel.

[0054] Remote Information Push Unit: This unit is responsible for transmitting intrusion alarm information via the network to a pre-defined monitoring center, security personnel, and the mobile devices of responsible personnel. Alarm information typically includes key data such as the time and location of the intrusion, the number of intruders, and their behavior patterns, enabling personnel to quickly implement countermeasures. By utilizing a dual alarm mechanism of localized audible and visual alarms and remote information push, the alarm module ensures that intrusions are detected and addressed promptly, effectively improving the system's security effectiveness and response speed.

[0055] In summary, the present invention creatively utilizes a multi-dimensional sensing module comprised of a millimeter-wave radar sensor, a camera, and a vibration sensor. These advanced devices are connected to a data processing and analysis module via signal transmission lines, ensuring that all types of collected information are quickly and stably transmitted to a data processing center. Combining multi-dimensional sensing technology with deep learning methods overcomes the constraints of traditional single-sensor monitoring, successfully overcoming the difficulty of detecting camouflaged and complex intrusion methods, significantly reducing the probability of false alarms and missed alerts, and enabling the system to accurately identify actual intrusions in a variety of complex environments, providing an ultra-reliable monitoring approach for perimeter security.

[0056] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent anti-theft system based on perimeter electronic fence, characterized by: include: Electronic fence device, used to monitor the preset perimeter area; A multi-dimensional perception module, connected to the electronic fence device, for collecting various types of information about the perimeter environment; A data processing and analysis module, connected to the multi-dimensional perception module, is used to integrate and intelligently analyze the collected various types of information to determine whether there is intrusion; An alarm module, connected to the data processing and analysis module, for issuing an alarm signal when an intrusion is detected; The adaptive adjustment module is connected to the data processing and analysis module and is used to automatically adjust relevant parameters of the system according to changes in the surrounding environment.

2. The intelligent anti-theft system based on perimeter electronic fence according to claim 1 is characterized in that: The multi-dimensional perception module includes a millimeter-wave radar sensor, a camera, and a vibration sensor. The millimeter-wave radar sensor, camera, and vibration sensor are respectively connected to the data processing and analysis module through signal transmission lines, and are used to transmit the collected information to the data processing and analysis module.

3. The intelligent anti-theft system based on perimeter electronic fence according to claim 1 is characterized in that: The data processing and analysis module includes a data fusion unit and an intelligent analysis unit. The data fusion unit is connected to the multi-dimensional perception module and is used to receive and fuse information from the multi-dimensional perception module. The intelligent analysis unit is connected to the data fusion unit and is used to analyze and process the fused information.

4. The intelligent anti-theft system based on perimeter electronic fence according to claim 1 is characterized in that: The intelligent analysis unit analyzes and processes the fused information based on a deep learning algorithm to determine whether there is an intrusion. The model of the deep learning algorithm is stored in the storage unit of the data processing and analysis module. The storage unit is connected to the intelligent analysis unit to provide model data for the intelligent analysis unit.

5. The intelligent anti-theft system based on perimeter electronic fence according to claim 1 is characterized in that: It also includes a positioning and tracking module, which is connected to the data processing and analysis module and is used to receive the intrusion behavior judgment result sent by the data processing and analysis module, and locate and track the intruder when it is judged that there is intrusion behavior.

6. The intelligent anti-theft system based on perimeter electronic fence according to claim 5 is characterized in that: The positioning and tracking module includes an ultra-wideband positioning unit and a Bluetooth positioning unit, and the ultra-wideband positioning unit and the Bluetooth positioning unit are respectively connected to the data processing and analysis module for sending positioning information to the data processing and analysis module.

7. The intelligent anti-theft system based on perimeter electronic fence according to claim 5 is characterized in that: The positioning and tracking module is connected to the video surveillance system and is used to send positioning information to the video surveillance system to control the camera of the video surveillance system to perform tracking and shooting; the camera of the video surveillance system is connected to the positioning and tracking module and is used to receive the control signal sent by the positioning and tracking module and perform corresponding shooting operations.

8. The intelligent anti-theft system based on perimeter electronic fence according to claim 1 is characterized in that: The adaptive adjustment module includes an environmental information acquisition unit, a parameter adjustment unit and a control execution unit. The environmental information acquisition unit is connected to the data processing and analysis module and is used to receive the environmental information sent by the data processing and analysis module. The parameter adjustment unit is connected to the environmental information acquisition unit and is used to generate parameter adjustment instructions based on the environmental information. The control execution unit is connected to the parameter adjustment unit and the multi-dimensional perception module and the data processing and analysis module and is used to send parameter adjustment instructions to the multi-dimensional perception module and the data processing and analysis module to adjust the working parameters of the multi-dimensional perception module and the data processing and analysis module.

9. The intelligent anti-theft system based on perimeter electronic fence according to claim 1, characterized in that: The alarm module includes a local sound and light alarm unit and a remote information push unit. The local sound and light alarm unit is connected to the data processing and analysis module, and is used to receive the alarm signal sent by the data processing and analysis module and to issue an sound and light alarm. The remote information push unit is connected to the data processing and analysis module, and is used to receive the alarm information sent by the data processing and analysis module and to send the alarm information to a preset monitoring center, security personnel and mobile terminals of relevant persons in charge.

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