Perimeter intrusion identification method and system based on millimeter wave radar

Abstract

The present invention relates to the field of electronic device identification technology, and provides a perimeter intrusion identification method and system based on millimeter wave radar, including: downloading a railway track map, marking key points, arranging millimeter wave radars, and collecting real-time detection data; determining the detection distance according to model parameters, and using this as the perimeter intrusion identification step. Connecting the system, downloading historical intrusion data, generating risk and loss solution space, performing two-way iterative optimization, and generating a perimeter intrusion identification space; performing identification through real-time detection data and identification space to obtain identification results, solving the technical problem that the accuracy of the perimeter intrusion identification results of railway tracks is low and intrusion behaviors cannot be discovered in time, and achieving the technical effect of real-time monitoring of the perimeter area, timely discovering intrusion behaviors, and improving the accuracy and real-time performance of intrusion identification.

Description

Technical Field

[0001] The present invention relates to the technical field related to application of electronic equipment identification, and in particular to a perimeter intrusion identification method and system based on millimeter wave radar. Background Art

[0002] Millimeter-wave radar is increasingly used in the security field. Infrared rays, video images and other means are usually used to identify perimeter intrusions on railway tracks. However, due to factors such as environmental interference and target movement speed, false alarms and missed alarms are prone to occur. The radar has poor environmental adaptability and is difficult to detect foreign objects in prohibited areas in advance. In addition, infrared rays, video images and other means often require a lot of wiring and installation work, and have high maintenance costs.

[0003] In summary, the prior art has the technical problem that the accuracy of the railway track perimeter intrusion recognition result is low and the intrusion behavior cannot be discovered in time. Summary of the invention

[0004] The present application provides a perimeter intrusion identification method and system based on millimeter wave radar, aiming to solve the technical problems in the prior art of low accuracy of perimeter intrusion identification results of railway tracks and failure to detect intrusion behaviors in a timely manner.

[0005] In view of the above problems, the present application provides a perimeter intrusion identification method and system based on millimeter wave radar.

[0006] The first aspect disclosed in the present application provides a perimeter intrusion identification method based on millimeter-wave radar, wherein a perimeter intrusion identification system is externally connected to a millimeter-wave radar, and the method comprises: downloading a railway track map of the target area, wherein the railway track map comprises key point annotations, wherein the key points include sections adjacent to village road bases, bridgehead sections, platform end sections, operating door sections, tunnel entrance sections, long and large road cutting sections, and sections adjacent to mountain road bases; on the railway track map, the millimeter-wave radar is deployed to obtain a radar detection distribution map, wherein the radar detection distribution map comprises a plurality of key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point annotations; the millimeter-wave radar deployed in the radar detection distribution map is activated to collect real-time detection data; based on The model parameters of the millimeter-wave radar are used to determine the detection distance data, and the detection distance data is used as the perimeter intrusion identification step; the perimeter intrusion identification system is connected to download historical intrusion data, and the historical intrusion data includes an intrusion risk level and an intrusion loss level; based on the historical intrusion data, an intrusion risk solution space is generated with the intrusion risk level as constraint information; based on the historical intrusion data, an intrusion loss solution space is generated with the intrusion loss level as constraint information; based on the intrusion risk solution space and the intrusion loss solution space, bidirectional iterative optimization is performed according to the perimeter intrusion identification step to generate a perimeter intrusion identification space; perimeter intrusion identification is performed in the radar detection distribution map through the real-time detection data and the perimeter intrusion identification space to obtain an intrusion identification result.

[0007] Another aspect disclosed in the present application provides a perimeter intrusion identification system based on millimeter-wave radar, wherein the system includes: a route map downloading module, used to download a railway track route map of a target area, wherein the railway track route map includes key point annotations, wherein the key points include sections adjacent to village road bases, bridgehead sections, platform end sections, operating door sections, tunnel entrance sections, long and large road cutting sections, and sections adjacent to mountain road bases; a deployment module, used to deploy millimeter-wave radars on the railway track route map to obtain a radar detection distribution map, wherein the radar detection distribution map includes multiple key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point annotations; a detection data acquisition module, used to enable the millimeter-wave radars deployed in the radar detection distribution map to acquire real-time detection data; a detection distance determination module, used to determine the type of the millimeter-wave radar based on the millimeter-wave radar a parameter, determining the detection distance data, and using the detection distance data as the perimeter intrusion identification step; a data download module, used to connect to the perimeter intrusion identification system, and download historical intrusion data, wherein the historical intrusion data includes an intrusion risk level and an intrusion loss level; a solution space generation module, used to generate an intrusion risk solution space based on the historical intrusion data and taking the intrusion risk level as constraint information; and to generate an intrusion loss solution space based on the historical intrusion data and taking the intrusion loss level as constraint information; a bidirectional iterative optimization module, used to perform bidirectional iterative optimization based on the intrusion risk solution space and the intrusion loss solution space according to the perimeter intrusion identification step to generate a perimeter intrusion identification space; and an intrusion identification module, used to perform perimeter intrusion identification in the radar detection distribution map through the real-time detection data and the perimeter intrusion identification space to obtain an intrusion identification result.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The method of downloading railway track map is adopted to mark key points, including the road base section adjacent to the village, the bridge head section, the platform end section, the working gate section, the tunnel entrance section, the long and large road cutting section, and the road base section adjacent to the mountain; millimeter wave radar is deployed on the map to obtain the radar detection distribution map, including the key point detection area; the radar is enabled to collect real-time detection data; the detection distance is determined according to the model parameters, which is used as the perimeter intrusion identification step; the perimeter intrusion identification system is connected, the historical intrusion data is downloaded, the risk and loss solution space is generated, and two-way iterative optimization is performed to generate the perimeter intrusion identification space; the identification is carried out through real-time detection data and identification space to obtain the results, thereby realizing the real-time monitoring of the perimeter area, timely detection of intrusion behavior, and improving the accuracy and real-time performance of intrusion identification.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A possible flow chart of a perimeter intrusion identification method based on millimeter wave radar is provided for the embodiment of the present application;

[0012] Figure 2 A schematic diagram of a possible flow chart of a forward search update in a perimeter intrusion identification method based on millimeter wave radar is provided for an embodiment of the present application;

[0013] Figure 3 A possible structural schematic diagram of a perimeter intrusion identification system based on millimeter-wave radar is provided for an embodiment of the present application.

[0014] Explanation of the reference numerals: route map downloading module 100 , layout module 200 , detection data acquisition module 300 , detection distance determination module 400 , data downloading module 500 , solution space generation module 600 , bidirectional iterative optimization module 700 , intrusion identification module 800 . DETAILED DESCRIPTION

[0015] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0016] Embodiment 1

[0017] like Figure 1 As shown, the embodiment of the present application provides a perimeter intrusion identification method based on millimeter wave radar, wherein the perimeter intrusion identification system is externally connected to a millimeter wave radar, and the method includes:

[0018] Step-1: Download the railway track map of the target area, which includes key point annotations, wherein the key points include the road base section adjacent to the village, the bridge head section, the platform end section, the operation gate section, the tunnel entrance section, the long and large road cutting section, and the road base section adjacent to the mountain;

[0019] Step-2: Deploy the millimeter-wave radar on the railway track map to obtain a radar detection distribution map, wherein the radar detection distribution map includes a plurality of key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point markings;

[0020] Identify a reliable source for providing railway track maps, such as a map service or a railway company. When downloading track maps, ensure that the selected target area and track maps include key point annotations, which may include road base sections adjacent to villages, bridgehead sections, platform end sections, working gate sections, tunnel entrance sections, long and large road cutting sections, and road base sections adjacent to mountains.

[0021] The millimeter wave radar is deployed on the railway track map. The specific placement can be determined according to actual needs and scenarios. For example, the placement of the radar may need to be determined based on the location of key points. In addition, the settings of the millimeter wave radar need to be adjusted so that it can effectively detect key points on the railway track map.

[0022] Run the millimeter wave radar for detection and generate a radar detection distribution map, which will display multiple key point detection areas. The center coordinates of each area should match the position coordinates corresponding to the key point annotation, and adjust the radar settings or position as needed.

[0023] Step-3: Activate the millimeter wave radars deployed in the radar detection distribution map to collect real-time detection data;

[0024] Step-4: Determine detection distance data based on the model parameters of the millimeter wave radar, and use the detection distance data as the perimeter intrusion recognition step length;

[0025] Enable millimeter-wave radar for detection: Start the millimeter-wave radar for detection through appropriate control or operation, including using specific software, hardware devices or interfaces to start and run the radar. During the startup process, ensure that the operation complies with all relevant safety regulations and operating guidelines to avoid any potential risks or problems.

[0026] The real-time detection data collected includes the distance, speed, direction, etc. of the target. In an embodiment of the present application, if the millimeter-wave radar is monitoring a key point on a railway track map, it includes: target distance (this indicates how far the target is from the radar. For example, if the target is a car, then its distance may range from a few meters to tens of kilometers), the relative speed of the target (this indicates the speed of the target relative to the radar. For example, if the target is a moving object (such as a car), then its relative speed may be tens of kilometers to hundreds of kilometers per hour), the azimuth of the target (this indicates the direction of the target relative to the radar. For example, if the target is a car coming from the north, then its azimuth may be 0 degrees), and the elevation of the target (this indicates the angle of the target relative to the horizon. For example, if the target is an airplane 10 meters above the ground, then its elevation may be 30 degrees).

[0027] Obtaining the model parameters of the millimeter-wave radar, including the radar's detection frequency, power, operating mode, antenna type, etc., will help determine the radar's detection distance and other related performance indicators; based on the obtained millimeter-wave radar model parameters, calculate or determine the radar's detection distance data. For details, refer to the radar's technical manual, specification sheet, or other relevant documents to understand the radar's detection distance under different conditions.

[0028] Generally, the detection distance of millimeter wave radar is generally between 150m and 250m. Some high-performance millimeter wave radars can even reach 300m. The range of the perimeter intrusion identification step length can be determined according to actual needs and scenarios. The step length range should be sufficient to cover the key point detection area on the railway track map so that the radar can effectively detect and identify.

[0029] According to the determined perimeter intrusion identification step range, the detection distance data of the millimeter wave radar is mapped to the corresponding step length, including converting the detection distance data of the radar into a step length unit or format suitable for perimeter intrusion identification. For example, the detection distance data of the millimeter wave radar can be converted into units such as centimeters or meters, and used as the perimeter intrusion identification step length. Through the above steps, the millimeter wave radar is enabled and real-time detection data is collected. The detection distance data is determined according to the model parameters of the millimeter wave radar, and the detection distance data is used as the perimeter intrusion identification step length for subsequent data processing and analysis.

[0030] Step-5: Connect to the perimeter intrusion identification system and download historical intrusion data, wherein the historical intrusion data includes intrusion risk level and intrusion loss level;

[0031] Step-6: Based on the historical intrusion data, the intrusion risk level is used as constraint information to generate an intrusion risk solution space; based on the historical intrusion data, the intrusion loss level is used as constraint information to generate an intrusion loss solution space;

[0032] Connecting to the perimeter intrusion identification system, commonly, a network connection, a serial port or other communication interface can be used to communicate with the perimeter intrusion identification system to ensure that the required historical intrusion data is obtained and downloaded through the connection.

[0033] After the connection is successful, start downloading the required historical intrusion data from the perimeter intrusion identification system, including intrusion risk level, intrusion loss level and other information, export the historical intrusion data from the perimeter intrusion identification system, and store it in an appropriate storage device or database for subsequent use.

[0034] Based on the analysis results and constraint information, an intrusion risk solution space is generated. The intrusion risk solution space is a probability model, decision tree or other type of model used to represent the degree and distribution of intrusion risk. Appropriate algorithms and techniques can be used to construct the intrusion risk solution space and use it for subsequent intrusion risk assessment and identification.

[0035] Based on the analysis results and constraint information, an intrusion loss solution space is generated. The intrusion loss solution space is a loss assessment model, decision tree or other type of model used to represent the degree and distribution of intrusion losses. Appropriate algorithms and techniques can be used to construct the intrusion loss solution space and use it for subsequent intrusion loss assessment and identification. Connect the perimeter intrusion identification system and download historical intrusion data, and then generate an intrusion risk solution space and an intrusion loss solution space based on the historical intrusion data for subsequent intrusion identification and analysis.

[0036] Step-7: Based on the intrusion risk solution space and the intrusion loss solution space, bidirectional iterative optimization is performed according to the perimeter intrusion identification step to generate a perimeter intrusion identification space;

[0037] Step-8: Perform perimeter intrusion identification in the radar detection distribution map using the real-time detection data and the perimeter intrusion identification space to obtain an intrusion identification result.

[0038] Before starting iterative optimization, determine an initial solution, which is randomly generated and will serve as the basis for the optimization process. Define an objective function to evaluate the quality of the solution. The objective function can be selected according to requirements. For example, it can be a function that minimizes the risk of intrusion or maximizes the loss of intrusion. Calculate the objective function value of the initial solution.

[0039] Based on the objective function value, a search direction is selected. There can be multiple search directions (the search direction in the intrusion risk solution space is forward, and the search direction in the intrusion loss solution space is reverse). A single search direction means searching in only one direction, while multiple search directions mean searching in multiple directions at the same time. Selecting an appropriate search direction can improve optimization efficiency and accuracy.

[0040] After selecting the search direction, iterative optimization begins, and optimization algorithms (such as gradient descent, genetic algorithm, etc.) can be used to find better solutions. In each iteration, new candidate solutions need to be generated based on the current solution and search direction, and their objective function values ​​are calculated. Then, the candidate solutions can be accepted or rejected to update the current solution, and this process continues until the termination condition is met.

[0041] After the iterative optimization is completed, a perimeter intrusion identification space is generated. The perimeter intrusion identification space can be a continuous or discrete space, which contains various possible solutions and their corresponding objective function values, and the objective function values ​​represent different intrusion risks and loss levels.

[0042] Based on real-time detection data and perimeter intrusion identification space, perimeter intrusion identification is performed in the radar detection distribution map, and the real-time detection data is compared and analyzed with the solution in the perimeter intrusion identification space to determine whether there is potential intrusion behavior or threat. Through comparison and analysis, the intrusion identification result is obtained. The intrusion identification result is a Boolean value (intrusion / non-intrusion). If it is an intrusion, it also includes the type and location of the intrusion, which can be used to trigger security response measures.

[0043] Furthermore, the millimeter wave radar is arranged on the railway track map, and the method of the present application further includes:

[0044] A key point power supply port is reserved at a key point in the railway track line diagram, and the key point power supply port is used to power the millimeter wave radar;

[0045] Determine the necessary power supply port based on the key point power supply port and the detection distance data;

[0046] Obtaining the power port coordinates through the necessary power ports and the key point power ports, wherein the power port coordinates include the power supply voltage and the power supply current;

[0047] On the railway track map, the power supply port coordinates corresponding to the installation of the millimeter-wave radar are reserved, and then the millimeter-wave radar is installed and debugged.

[0048] When laying out the millimeter-wave radar, it is first necessary to reserve key power ports at key points on the railway track map. The function of the key power ports is to provide the required power for the millimeter-wave radar to ensure its normal operation. The location of the power port should be determined in advance so that the power supply can be connected quickly and accurately when the millimeter-wave radar is installed.

[0049] After determining the location of the key power supply ports, the necessary number and location of the power supply ports need to be determined based on the detection distance data of the millimeter-wave radar. Since the detection distance of the millimeter-wave radar is limited, the necessary power supply ports need to be determined based on its detection range and the distribution of key points on the railway track map to ensure that the millimeter-wave radar can cover all key points.

[0050] After determining the necessary number and location of power ports, it is necessary to determine the coordinates of each power port, which includes parameters such as power supply voltage and power supply current, which will be used to guide the installation and debugging of the millimeter-wave radar to ensure that it can work normally and meet the required performance requirements.

[0051] According to the obtained power port coordinates, it is necessary to reserve corresponding positions and spaces for each power port on the railway track map, which can ensure that the power supply can be easily connected when the millimeter-wave radar is installed.

[0052] After completing the above steps, you can start installing the millimeter wave radar and perform corresponding debugging according to its specifications and requirements. During the debugging process, you may need to adjust the parameters of the millimeter wave radar to ensure that it can meet the safety requirements of the railway track map and can accurately detect intrusions at key points. Through the above steps, the millimeter wave radar can be successfully deployed on the railway track map, and efficient intrusion detection can be achieved while ensuring safety.

[0053] Furthermore, installing and debugging the millimeter wave radar, the present application method also includes:

[0054] Acquire technical performance indicator information of the millimeter wave radar, wherein the technical performance indicator information includes scanning power and scanning frequency;

[0055] Conducting a stability test on the millimeter wave radar through the power supply voltage, power supply current and the technical performance indicator information to obtain a stability test log, wherein the stability test log includes a function test record, a performance test record and a communication connection test record;

[0056] The stability test log is used as feedback information to adjust the parameters of the millimeter wave radar. Before installing and debugging the millimeter wave radar, it is necessary to obtain its technical performance indicator information, including scanning power, scanning frequency, etc., which can be used to guide the subsequent debugging process. The technical performance indicator information can be obtained by consulting the technical documentation of the millimeter wave radar or using the corresponding test equipment.

[0057] After obtaining the technical performance indicator information of the millimeter-wave radar, it is necessary to perform stability testing on it by adjusting parameters such as power supply voltage and power supply current according to its specifications and requirements. The main purpose of the stability test is to check the performance of the millimeter-wave radar under normal working conditions and whether there are potential faults or problems.

[0058] When conducting stability tests, the following test logs need to be recorded: Functional test records: check whether the various functions of the millimeter-wave radar are working normally, such as scanning, detection, etc.; Performance test records: test the various performance indicators of the millimeter-wave radar, such as scanning range, accuracy, sensitivity, etc.; Communication connection test records: check whether the communication connection between the millimeter-wave radar and other devices is normal, such as the communication between the control center and the millimeter-wave radar.

[0059] According to the records in the stability test log, the performance and problems of the millimeter-wave radar under normal working conditions can be understood. According to the feedback information, the parameters of the millimeter-wave radar can be adjusted to optimize its performance and solve potential problems. For example, if the scanning range of the millimeter-wave radar is found to be insufficient, its scanning power or frequency parameters can be adjusted to improve its detection capability; if problems are found in the communication connection, parameters such as the communication protocol or baud rate can be adjusted to improve the communication quality. The installation and commissioning of the millimeter-wave radar ensures that it can work normally in the railway track map and play the expected intrusion detection function.

[0060] Furthermore, based on the intrusion risk solution space and the intrusion loss solution space, bidirectional iterative optimization is performed according to the perimeter intrusion identification step to generate a perimeter intrusion identification space. The method of the present application includes:

[0061] Based on the intrusion risk solution space and the intrusion loss solution space, construct an initial perimeter intrusion identification solution space, wherein each initial perimeter intrusion identification solution space is composed of a group of initial solutions;

[0062] Based on the initial perimeter intrusion identification solution space, a bidirectional iterative search and update is performed in the intrusion risk solution space and the intrusion loss solution space;

[0063] During the search and update process, the initial solution corresponding to the initial perimeter intrusion identification solution space is synchronously updated until a termination condition is met, and the current perimeter intrusion identification solution space is used as the perimeter intrusion identification space.

[0064] The initial perimeter intrusion identification solution space is constructed based on the intrusion risk solution space and the intrusion loss solution space. Each initial perimeter intrusion identification solution space is composed of a set of initial solutions, which can be randomly generated or obtained according to some heuristic methods.

[0065] A bidirectional iterative search and update is performed based on the initial perimeter intrusion identification solution space. Specifically, a better solution is found in the intrusion risk solution space and the intrusion loss solution space, and the initial solution in the initial perimeter intrusion identification solution space is updated. This can be achieved through some optimization algorithms, such as gradient descent, genetic algorithm, etc.

[0066] The search and update operations are continued until certain termination conditions are met (such as reaching a preset number of iterations or a convergence degree of the solution, etc.). Once the termination conditions are met, the current perimeter intrusion recognition solution space can be used as the final perimeter intrusion recognition space.

[0067] Through the above steps, the perimeter intrusion identification space is generated based on the intrusion risk solution space and the intrusion loss solution space. The solutions in the perimeter intrusion identification space represent different perimeter intrusion identification schemes, and each scheme has its corresponding intrusion risk and loss. By optimizing the solutions in the perimeter intrusion identification space, a balance point that can reduce both the intrusion risk and the loss can be found, thereby effectively improving the performance of perimeter intrusion identification.

[0068] Furthermore, a bidirectional iterative search and update is performed in the intrusion risk solution space and the intrusion loss solution space. The method of the present application includes:

[0069] In the intrusion risk solution space, setting a forward update direction and a forward search step size;

[0070] In the intrusion loss solution space, setting a reverse update direction and a reverse search step size;

[0071] The forward update direction and the forward search step length are used to perform a forward search update in the intrusion risk solution space; the reverse update direction and the reverse search step length are used to perform a reverse search update in the intrusion loss solution space.

[0072] Set a positive update direction and search step. Specifically, start from the solution with higher intrusion risk and gradually search and update in the direction of lower risk. This can gradually optimize the solution in the intrusion risk solution space to reduce the intrusion risk.

[0073] Similarly, a reverse update direction and search step size are set. Specifically, we can start from the solution with smaller intrusion loss and gradually search and update in the direction of larger loss. In this way, we can gradually optimize the solution in the intrusion loss solution space to reduce the intrusion loss.

[0074] The forward update direction and search step size set previously are used to search and update in the intrusion risk solution space. By gradually increasing the forward search step size or changing the search direction, better solutions can be found to reduce the intrusion risk.

[0075] The previously set reverse update direction and search step size are used to search and update in the intrusion loss solution space. By gradually increasing the reverse search step size or changing the search direction, a better solution can be found to reduce the intrusion loss.

[0076] Through the above steps, a bidirectional iterative search and update is performed in the intrusion risk solution space and the intrusion loss solution space. This bidirectional iterative process can find a balance point that can reduce both the intrusion risk and the loss, thereby effectively improving the performance of perimeter intrusion identification. At the same time, by setting different update directions and search steps, flexible optimization operations can be performed according to actual conditions to meet different needs and constraints.

[0077] Furthermore, if Figure 2 As shown, the forward update direction and the forward search step length are adopted to perform a forward search update in the intrusion risk solution space. The method of the present application includes:

[0078] During the forward search and update process, a risk level evaluation is performed to obtain a risk level index, and the search and update directions corresponding to the risk level index from large to small are used as forward update constraints;

[0079] The intrusion risk solution space is updated to obtain an updated intrusion risk solution space, wherein the risk level of the candidate solution corresponding to the updated intrusion risk solution space is lower than the risk level of the current solution corresponding to the intrusion risk solution space;

[0080] The solution space is updated based on the intrusion risk, and multiple iterations are performed until a termination condition is met, wherein the termination condition includes a preset number of iterations.

[0081] The risk level of the current solution is evaluated to obtain a risk level index. The risk level index can be used to measure the risk level of the current solution. The higher the index, the greater the risk. The forward update direction is set according to the size of the risk level index. Specifically, the search update direction corresponding to the risk level index from large to small can be used as the forward update constraint, that is, searching and updating from high risk level to low risk level.

[0082] The intrusion risk solution space is updated according to the set forward update direction and search step size. Specifically, some optimization algorithms (such as gradient descent, genetic algorithm, etc.) can be used to find better solutions and update the initial solution in the intrusion risk solution space. The updated solution space is the intrusion risk update solution space. Ensuring that the risk level of the candidate solution in the intrusion risk update solution space is lower than the risk level of the current solution in the intrusion risk solution space is to ensure that the intrusion risk can be gradually reduced during the search and update process.

[0083] Continue searching and updating until a certain termination condition is met (such as reaching a preset number of iterations). Once the termination condition is met, the current intrusion risk solution space can be used as the final perimeter intrusion identification solution space. Through the above steps, forward search and update can be performed in the intrusion risk solution space, and the intrusion risk can be gradually reduced. At the same time, different termination conditions can be set according to actual conditions to meet different needs and constraints.

[0084] Furthermore, based on the intrusion risk update solution space, multiple iterations are performed until the termination condition is met. The method of the present application further includes:

[0085] During the iterative update process, set the risk level threshold;

[0086] Using the risk level threshold as a discrimination condition, filtering sample data in the intrusion risk update solution space;

[0087] Based on the sample data filtering, a heuristic algorithm is used to optimize the search update direction.

[0088] A risk level threshold is set to determine whether the risk level of the current solution meets the requirements. The risk level threshold can be a value dynamically adjusted according to the actual situation (if the risk level is 1-10, the risk level threshold can be set to not less than 3);

[0089] It is necessary to use the risk level threshold as a discrimination condition to filter the sample data in the intrusion risk update solution space. Specifically, samples with risk levels lower than the threshold can be eliminated from the sample data, and only samples with risk levels higher than the threshold can be retained. This ensures that subsequent search and update operations are performed on samples with higher risk levels to improve optimization efficiency.

[0090] It is necessary to use some heuristic algorithms to optimize the search update direction based on the filtered sample data. The heuristic algorithms can include genetic algorithm, ant colony algorithm, particle swarm algorithm, etc., which should be selected according to the actual situation. In the process of multiple iterative updates, the heuristic algorithm is used to optimize the iteration direction and set the risk level threshold, filter the sample data, and use the heuristic algorithm to optimize the search update direction, which can improve the iteration speed and find a better solution.

[0091] In summary, the perimeter intrusion identification method and system based on millimeter wave radar provided in the embodiments of the present application have the following technical effects:

[0092] 1. Provide high-precision distance, speed and angle information to make intrusion identification more accurate and reliable.

[0093] 2. Monitor the perimeter area in real time and detect intrusions in a timely manner.

[0094] 3. Millimeter-wave radar has strong anti-interference ability and can work stably in complex environments, improving the reliability of intrusion identification.

[0095] 4. During the iterative update process, the risk level threshold is set; the risk level threshold is used as a discrimination condition to filter the sample data in the intrusion risk update solution space; based on the sample data filtering, the heuristic algorithm is used to optimize the search update direction. During multiple iterative updates, the risk level threshold is set, the sample data is filtered, and the heuristic algorithm is used to optimize the search update direction, which can increase the iteration speed and find a better solution.

[0096] Embodiment 2

[0097] Based on the same inventive concept as the perimeter intrusion identification method based on millimeter wave radar in the aforementioned embodiment, Figure 3 As shown, the embodiment of the present application provides a perimeter intrusion identification system based on millimeter wave radar, wherein the system includes:

[0098] The route map downloading module 100 is used to download the railway track route map of the target area, wherein the railway track route map includes key point annotations, wherein the key points include the road base section adjacent to the village, the bridge head section, the platform end section, the operation gate section, the tunnel entrance section, the long and large road cutting section, and the road base section adjacent to the mountain;

[0099] A deployment module 200 is used to deploy millimeter wave radars on the railway track map to obtain a radar detection distribution map, wherein the radar detection distribution map includes a plurality of key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point markings;

[0100] The detection data collection module 300 is used to activate the millimeter wave radars arranged in the radar detection distribution map to collect real-time detection data;

[0101] A detection distance determination module 400, for determining detection distance data based on the model parameters of the millimeter wave radar, and using the detection distance data as a perimeter intrusion identification step length;

[0102] A data download module 500 is used to connect to the perimeter intrusion identification system and download historical intrusion data, wherein the historical intrusion data includes an intrusion risk level and an intrusion loss level;

[0103] A solution space generation module 600 is used to generate an intrusion risk solution space based on the historical intrusion data and taking the intrusion risk level as constraint information; and to generate an intrusion loss solution space based on the historical intrusion data and taking the intrusion loss level as constraint information;

[0104] A bidirectional iterative optimization module 700 is used to perform bidirectional iterative optimization based on the intrusion risk solution space and the intrusion loss solution space according to the perimeter intrusion identification step to generate a perimeter intrusion identification space;

[0105] The intrusion identification module 800 is used to perform perimeter intrusion identification in the radar detection distribution map through the real-time detection data and the perimeter intrusion identification space to obtain an intrusion identification result.

[0106] Furthermore, the system also includes:

[0107] A key point power supply port is reserved at a key point in the railway track line diagram, and the key point power supply port is used to power the millimeter wave radar;

[0108] Determine the necessary power supply port based on the key point power supply port and the detection distance data;

[0109] Obtaining the power port coordinates through the necessary power ports and the key point power ports, wherein the power port coordinates include the power supply voltage and the power supply current;

[0110] On the railway track map, the power supply port coordinates corresponding to the installation of the millimeter wave radar are reserved, and then the millimeter wave radar is installed and debugged.

[0111] Furthermore, the system also includes:

[0112] Acquire technical performance indicator information of the millimeter wave radar, wherein the technical performance indicator information includes scanning power and scanning frequency;

[0113] Conducting a stability test on the millimeter wave radar through the power supply voltage, power supply current and technical performance indicator information to obtain a stability test log, wherein the stability test log includes a function test record, a performance test record and a communication connection test record;

[0114] The stability test log is used as feedback information to adjust parameters of the millimeter wave radar.

[0115] Furthermore, the system also includes:

[0116] Based on the intrusion risk solution space and the intrusion loss solution space, construct an initial perimeter intrusion identification solution space, wherein each initial perimeter intrusion identification solution space is composed of a group of initial solutions;

[0117] Based on the initial perimeter intrusion identification solution space, a bidirectional iterative search and update is performed in the intrusion risk solution space and the intrusion loss solution space;

[0118] During the search and update process, the initial solution corresponding to the initial perimeter intrusion identification solution space is synchronously updated until a termination condition is met, and the current perimeter intrusion identification solution space is used as the perimeter intrusion identification space.

[0119] Furthermore, the system also includes:

[0120] In the intrusion risk solution space, setting a forward update direction and a forward search step size;

[0121] In the intrusion loss solution space, setting a reverse update direction and a reverse search step size;

[0122] The forward update direction and the forward search step length are used to perform a forward search update in the intrusion risk solution space; the reverse update direction and the reverse search step length are used to perform a reverse search update in the intrusion loss solution space.

[0123] Furthermore, the system also includes:

[0124] During the forward search and update process, a risk level evaluation is performed to obtain a risk level index, and the search and update directions corresponding to the risk level index from large to small are used as forward update constraints;

[0125] The intrusion risk solution space is updated to obtain an updated intrusion risk solution space, wherein the risk level of the candidate solution corresponding to the updated intrusion risk solution space is lower than the risk level of the current solution corresponding to the intrusion risk solution space;

[0126] The solution space is updated based on the intrusion risk, and multiple iterations are performed until a termination condition is met, wherein the termination condition includes a preset number of iterations.

[0127] Furthermore, the system also includes:

[0128] During the iterative update process, set the risk level threshold;

[0129] Using the risk level threshold as a discrimination condition, filtering sample data in the intrusion risk update solution space;

[0130] Based on the sample data filtering, a heuristic algorithm is used to optimize the search update direction.

[0131] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0132] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A perimeter intrusion identification method based on millimeter wave radar, characterized in that: The perimeter intrusion identification system is externally connected to a millimeter wave radar, and the method includes: Downloading a railway track map of the target area, wherein the railway track map includes key point annotations, wherein the key points include a road base section adjacent to a village, a bridge head section, a platform end section, an operating gate section, a tunnel entrance section, a long and large road cutting section, and a road base section adjacent to a mountain; The millimeter-wave radar is deployed on the railway track map to obtain a radar detection distribution map, wherein the radar detection distribution map includes a plurality of key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point markings; Activating the millimeter-wave radars arranged in the radar detection distribution map to collect real-time detection data; Determine detection distance data based on the model parameters of the millimeter wave radar, and use the detection distance data as a perimeter intrusion identification step length; Connecting to the perimeter intrusion identification system and downloading historical intrusion data, wherein the historical intrusion data includes an intrusion risk level and an intrusion loss level; Based on the historical intrusion data, the intrusion risk level is used as constraint information to generate an intrusion risk solution space; based on the historical intrusion data, the intrusion loss level is used as constraint information to generate an intrusion loss solution space; Based on the intrusion risk solution space and the intrusion loss solution space, bidirectional iterative optimization is performed according to the perimeter intrusion identification step to generate a perimeter intrusion identification space; By using the real-time detection data and the perimeter intrusion identification space, perimeter intrusion identification is performed in the radar detection distribution map to obtain an intrusion identification result; Based on the intrusion risk solution space and the intrusion loss solution space, bidirectional iterative optimization is performed according to the perimeter intrusion identification step to generate a perimeter intrusion identification space, and the method includes: Based on the intrusion risk solution space and the intrusion loss solution space, construct an initial perimeter intrusion identification solution space, wherein each initial perimeter intrusion identification solution space is composed of a group of initial solutions; Based on the initial perimeter intrusion identification solution space, a bidirectional iterative search and update is performed in the intrusion risk solution space and the intrusion loss solution space; In the process of searching and updating, the initial solution corresponding to the initial perimeter intrusion identification solution space is synchronously updated until the termination condition is met, and the current perimeter intrusion identification solution space is used as the perimeter intrusion identification space; Performing bidirectional iterative search and updating in the invasion risk solution space and the invasion loss solution space, the method comprises: In the intrusion risk solution space, setting a forward update direction and a forward search step size; In the intrusion loss solution space, setting a reverse update direction and a reverse search step size; The forward update direction and the forward search step length are used to perform a forward search update in the intrusion risk solution space; the reverse update direction and the reverse search step length are used to perform a reverse search update in the intrusion loss solution space.

2. The perimeter intrusion identification method based on millimeter wave radar as claimed in claim 1, characterized in that: The millimeter wave radar is arranged on the railway track map, and the method further includes: A key point power supply port is reserved at a key point in the railway track line diagram, and the key point power supply port is used to power the millimeter wave radar; Determine the necessary power supply port based on the key point power supply port and the detection distance data; Obtaining the power port coordinates through the necessary power ports and the key point power ports, wherein the power port coordinates include the power supply voltage and the power supply current; On the railway track map, the power supply port coordinates corresponding to the installation of the millimeter wave radar are reserved, and then the millimeter wave radar is installed and debugged.

3. The perimeter intrusion identification method based on millimeter wave radar as claimed in claim 2, characterized in that: Installing and debugging the millimeter wave radar, the method further includes: Acquire technical performance indicator information of the millimeter wave radar, wherein the technical performance indicator information includes scanning power and scanning frequency; Conducting a stability test on the millimeter wave radar through the power supply voltage, power supply current and the technical performance indicator information to obtain a stability test log, wherein the stability test log includes a function test record, a performance test record and a communication connection test record; The stability test log is used as feedback information to adjust parameters of the millimeter wave radar.

4. The perimeter intrusion identification method based on millimeter wave radar as claimed in claim 1, characterized in that: Using the forward update direction and the forward search step length, a forward search update is performed in the intrusion risk solution space, and the method includes: During the forward search and update process, a risk level evaluation is performed to obtain a risk level index, and the search and update directions corresponding to the risk level index from large to small are used as forward update constraints; The intrusion risk solution space is updated to obtain an updated intrusion risk solution space, wherein the risk level of the candidate solution corresponding to the updated intrusion risk solution space is lower than the risk level of the current solution corresponding to the intrusion risk solution space; The solution space is updated based on the intrusion risk, and multiple iterations are performed until a termination condition is met, wherein the termination condition includes a preset number of iterations.

5. The perimeter intrusion identification method based on millimeter wave radar as claimed in claim 4, characterized in that: Based on the intrusion risk updating solution space, multiple iterations are performed until a termination condition is met, and the method further includes: During the iterative update process, set the risk level threshold; Using the risk level threshold as a discrimination condition, filtering sample data in the intrusion risk update solution space; Based on the sample data filtering, a heuristic algorithm is used to optimize the search update direction.

6. The perimeter intrusion identification system based on millimeter wave radar is characterized by: The perimeter intrusion identification method based on millimeter wave radar for implementing any one of claims 1 to 5 comprises: A route map downloading module is used to download a railway track route map of a target area, wherein the railway track route map includes key point annotations, wherein the key points include a road base section adjacent to a village, a bridge head section, a platform end section, an operating gate section, a tunnel entrance section, a long and large road cutting section, and a road base section adjacent to a mountain; A deployment module is used to deploy millimeter-wave radars on the railway track map to obtain a radar detection distribution map, wherein the radar detection distribution map includes a plurality of key point detection areas, and the center coordinates of the key point detection areas are the position coordinates corresponding to the key point markings; A detection data acquisition module is used to enable the millimeter wave radars arranged in the radar detection distribution map to acquire real-time detection data; A detection distance determination module, used to determine detection distance data based on the model parameters of the millimeter wave radar, and use the detection distance data as a perimeter intrusion identification step length; A data download module, used to connect to the perimeter intrusion identification system and download historical intrusion data, wherein the historical intrusion data includes an intrusion risk level and an intrusion loss level; A solution space generation module, used to generate an intrusion risk solution space based on the historical intrusion data and taking the intrusion risk level as constraint information; and to generate an intrusion loss solution space based on the historical intrusion data and taking the intrusion loss level as constraint information; A bidirectional iterative optimization module, configured to perform bidirectional iterative optimization based on the intrusion risk solution space and the intrusion loss solution space according to the perimeter intrusion identification step length to generate a perimeter intrusion identification space; The intrusion identification module is used to perform perimeter intrusion identification in the radar detection distribution map through the real-time detection data and the perimeter intrusion identification space to obtain an intrusion identification result.

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