Electronic fence intelligent control early warning method and system based on door opening and closing state monitoring

Abstract

The invention relates to the technical field of electronic fence monitoring, and provides an electronic fence intelligent control early warning method and system based on door opening and closing state monitoring, and the method specifically comprises the steps: carrying out the verification of vehicle passing authority; intercepting a target telescopic node of the electronic fence, and performing first-round telescopic adjustment processing on the electronic fence; obtaining a passing height level data set of the safe passing vehicle, carrying out clustering processing on the passing height level data set, and carrying out evaluation according to the passing height level data set to obtain a height adjustment distance of the electronic fence; calculating a regulation direction angle of each target telescopic node on the electronic fence; and according to the real-time distance between the safe passing vehicle and the gate of the transformer substation, carrying out secondary wheel telescopic adjustment processing on each target telescopic node on the electronic fence. The problems that in the prior art, an electronic fence security area cannot be dynamically regulated and controlled, security prevention and control over the upper portion of a transformer substation gate are lacked, and security dead corners exist are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic fence monitoring, and in particular relates to an electronic fence intelligent control early warning method and system based on door opening and closing state monitoring. Background Art

[0002] Building a substation security system is an important means for preventing intrusion, theft and vandalism in substations. However, there are still loopholes in the current substation security system. For example, suspicious persons can invade the substation through the security loophole area above the substation gate. At present, the perimeter intrusion alarm is realized by installing electronic fences around the walls of the substation. However, considering factors such as equipment transportation and convenient vehicle access, most substation gates do not have electronic fences, and there is a physical defense vacuum. Most substations use infrared counter-shooting for electronic monitoring and expulsion at the gate of the substation as a security measure for the gate instead of electronic fences. However, the camera position is fixed, and there are blind spots for monitoring; it is impossible to achieve dynamic adjustment of the security area. When the maintenance vehicle of the substation enters and exits, the alarm is often sent by mistake. The amount of complex alarm data will reduce the work efficiency of managers when querying alarm records, which is time-consuming and laborious. In addition, some areas use metal barbs installed above the substation gate to form physical isolation. However, the metal barbs are heavy, which adds extra burden to the substation gate, gate rails, and motor loads, and there are risks of the gate toppling under force, the rails deforming under excessive force, and the motor burning due to overload. How to design a retractable, fully enclosed electronic fence installed on the substation gate to achieve physical security above the substation gate and ensure that there is no blind spot around the substation perimeter is an important technical challenge. Summary of the invention

[0003] The technical problem to be solved by the present invention is that in the prior art, the security area of ​​the electronic fence cannot be dynamically adjusted and there is a lack of safety control above the substation gate, resulting in security blind spots. An electronic fence intelligent control and early warning method and system based on door opening and closing status monitoring are proposed.

[0004] In order to achieve the above object, the technical solution of the electronic fence intelligent control early warning method based on the monitoring of the door opening and closing state of the present invention comprises the following steps:

[0005] S1: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through the scanning device, and the vehicle's access permission is verified;

[0006] S2: extracting vehicle model information of safe-passing vehicles, intercepting the target expansion and contraction node of the electronic fence according to the vehicle model information and the expansion and contraction parameters of the electronic fence, and performing the first round of expansion and contraction adjustment processing on the electronic fence;

[0007] S3: Perform height scanning processing on the special equipment loaded on the safe-passing vehicle to obtain the passing height level data set of the safe-passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation;

[0008] S4: importing the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculating and obtaining the control direction angle of each target telescopic node on the electronic fence;

[0009] S5: judging the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

[0010] Specifically, S1 includes the following specific steps:

[0011] S11: A geomagnetic sensor is embedded in the road surface in front of the substation gate to sense whether there is a suspicious vehicle about to enter the substation control area;

[0012] S12: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through a scanning device;

[0013] S13: Match the license plate information of the current suspicious vehicle in the historical released vehicle information database, and verify the vehicle's access rights. If the current suspicious vehicle is a historically released vehicle, mark the current suspicious vehicle as a safe passing vehicle, automatically grant access rights, and execute step S2;

[0014] S14: If the current suspicious vehicle cannot be matched in the historical released vehicle information database, a suspicious vehicle warning is issued, and the license plate information is sent to the administrator of the electronic fence monitoring center to manually verify the access rights of the current suspicious vehicle.

[0015] Specifically, S2 includes the following specific steps:

[0016] S21: extracting vehicle model information of safe-passing vehicles from a historical released vehicle information database, wherein the vehicle model information includes original vehicle height data and original vehicle width data;

[0017] S22: synchronously obtaining telescopic parameters corresponding to the electronic fence above the substation gate, wherein the telescopic parameters corresponding to the electronic fence include: the total number of telescopic nodes of the electronic fence above the substation gate and the maximum telescopic length of the alloy wire between each node;

[0018] S23: construct a two-dimensional plane coordinate system of the electronic fence, wherein the original height of the substation gate is D; the coordinate origin of the two-dimensional plane coordinate system is the lower left corner vertex of the electronic fence, the horizontal axis of the two-dimensional plane coordinate system is parallel to the extension direction of the substation gate, and the vertical axis of the two-dimensional plane coordinate system is parallel to the vertical direction of the substation gate;

[0019] S24: Extract the position coordinate set A of each node on the electronic fence according to the two-dimensional plane coordinate system of the electronic fence, A = {(x i,j ,y i,j )}, i=1,2...I, j=1,2...J, where the electronic fence has a total of I rows and J columns of scalable nodes, i and j are row index and column index respectively, indicating the i-th row and j-th column; (x i,j ,y i,j ) represents the position coordinates of the scalable node at the i-th row and j-th column.

[0020] Specifically, S2 also includes the following specific steps:

[0021] S25: According to the vehicle model information and the electronic fence expansion and contraction parameters, intercepting the target expansion and contraction node of the electronic fence, wherein intercepting the target expansion and contraction node of the electronic fence specifically includes: when the original height data of the vehicle body is greater than y1+D, it is necessary to perform a first round of expansion and contraction adjustment processing on the first row of expandable nodes of the electronic fence, wherein y1 is the ordinate of the first row of expandable nodes;

[0022] S26: When the original height data of the vehicle body is less than or equal to y1+D, it is not necessary to perform the first round of telescopic adjustment processing on the first row of telescopic nodes of the electronic fence;

[0023] S27: Perform the first round of telescopic adjustment on the electronic fence. The specific adjustment strategy includes: retracting the load-bearing rods where the first row of telescopic nodes of the electronic fence are located upward in the vertical direction of the gate to ensure that after the first round of telescopic adjustment, the distance between the first row of telescopic nodes of the electronic fence and the ground is equal to the original height data of the vehicle body.

[0024] Specifically, S3 includes the following specific steps:

[0025] S31: Performing height scanning processing on the special equipment loaded on the safe passing vehicle, extracting the height scanning image of the special equipment, and selecting N data sampling points on the top contour of the special equipment in the height scanning image, the height data collected by the N data sampling points constitute the passing height level data set of the safe passing vehicle;

[0026] S32: performing clustering processing on the traffic height level data set, wherein the clustering processing specifically includes: presetting a height level division threshold, performing difference processing on the height data collected from two adjacent data sampling points, and obtaining a set of height difference values ​​of the two adjacent data sampling points;

[0027] When the height difference between two adjacent data sampling points is less than or equal to the height level division threshold, it is determined that the two adjacent data sampling points belong to the same height level;

[0028] When the height difference between two adjacent data sampling points is greater than the height level division threshold, it is determined that the two adjacent data sampling points belong to different height levels;

[0029] S33: extracting the maximum altitude data in each altitude level as a reference for adjusting the altitude;

[0030] S34: Synchronously extract the contour length of each height level, and in the first row of scalable nodes of the electronic fence, match the scalable node closest to the contour starting point of each height level as the starting adjustment node of each height level according to the horizontal coordinate value of the scalable node, and match the scalable node closest to the contour ending point of each height level in the first row of scalable nodes of the electronic fence as the ending adjustment node of each height level, and the scalable nodes between the starting adjustment node and the ending adjustment node all maintain the same height adjustment distance, wherein each height level has a total of E scalable nodes;

[0031] S35: Obtaining a height adjustment distance of a retractable node of the electronic fence according to the reference adjustment height evaluation, wherein a calculation strategy of the height adjustment distance is specifically as follows:

[0032]

[0033] Wherein, u is a superscript, indicating the u-th height level; there are a total of eu scalable nodes between the starting adjustment node corresponding to the u-th height level and the terminating adjustment node;

[0034] Indicates e u The height adjustment distance of the retractable nodes;

[0035] Indicates e u The vertical coordinate value of a scalable node after the first round of scaling adjustment;

[0036] CKu represents the reference adjustment altitude corresponding to the u-th altitude level.

[0037] Specifically, in S4, the scaling node control direction calculation strategy is as follows:

[0038]

[0039] in, is the control direction angle of the e-th scalable node in the u-th height level;

[0040] is the difference between the horizontal coordinate value of the starting adjustment node and the starting point of the u-th height level profile;

[0041] is the difference between the abscissa value of the termination adjustment node and the end point of the u-th height level profile.

[0042] Specifically, S5 includes the following specific steps:

[0043] S51: determining the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, wherein the adjustment attribute of the target telescopic node specifically includes:

[0044] When e=1, according to the control direction angle Adjust the target telescopic node to the upper right;

[0045] When 1<e<E, adjust the target telescopic node vertically upward;

[0046] When e=E, according to the control direction angle Adjust the target expansion node to the upper left.

[0047] Specifically, S5 also includes the following specific steps:

[0048] S52: performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate, wherein the secondary round of telescopic adjustment processing includes:

[0049]

[0050] Among them, k is the adjustment evolution coefficient, which is a constant value;

[0051] α1 and α2 are the adjustment amount ratio coefficient and speed ratio coefficient respectively;

[0052] Q t ,Q t-1 are the remaining adjustment amounts of the target scaling node in adjustment period t and adjustment period t-1 respectively;

[0053] l t ,l t-1 They represent the real-time distance between the safe passing vehicle and the substation gate at the adjustment period t and the adjustment period t-1 respectively;

[0054] vt ,v t-1 are the adjustment speeds of the target scaling node in adjustment period t and adjustment period t-1 respectively;

[0055] V t ,V t-1 They represent the real-time speed of vehicles passing safely during adjustment period t and adjustment period t-1 respectively.

[0056] In addition, the present invention also proposes an electronic fence intelligent control and early warning system based on door opening and closing status monitoring, which includes the following modules:

[0057] Vehicle authority verification module, first-round telescopic adjustment module, adjustment distance assessment module, control direction angle calculation module, and second-round telescopic adjustment module;

[0058] The vehicle authority verification module identifies the license plate information of the suspicious vehicle through a scanning device and verifies the vehicle's access authority;

[0059] The first round of telescopic adjustment module is used to extract the vehicle model information of the safe passing vehicle, intercept the target telescopic node of the electronic fence according to the vehicle model information and the telescopic parameters of the electronic fence, and perform the first round of telescopic adjustment processing on the electronic fence;

[0060] The adjustment distance evaluation module is used to perform height scanning processing on the special equipment loaded on the safe passing vehicle, obtain the passing height level data set of the safe passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation;

[0061] The control direction angle calculation module is used to import the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculate and obtain the control direction angle of each target telescopic node on the electronic fence;

[0062] The secondary round telescopic adjustment module determines the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performs secondary round telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

[0063] The present invention also proposes a storage medium, in which instructions are stored. When a computer reads the instructions, the computer executes the electronic fence intelligent control and early warning method based on door opening and closing status monitoring.

[0064] The present invention also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned electronic fence intelligent control and early warning method based on switch door status monitoring is implemented.

[0065] Compared with the prior art, the technical effects of the present invention are as follows:

[0066] 1) The present invention fills the protection gap of the traditional fence at the gate by adding a fully enclosed electronic fence above the substation gate, and realizes the organic combination of physical protection and technical protection.

[0067] 2) The present invention realizes the automatic extension and retraction of the fence and responds to the opening and closing status of the gate through the linkage between the gate position detection sensor and the microcontroller, thereby improving the overall intelligence level and automation degree.

[0068] 3) The present invention performs a height scan on the special equipment loaded on the passing vehicles, and determines the passing height level of the vehicles through clustering processing to achieve precise height adjustment. At the same time, the present invention calculates the control direction angle of each target telescopic node on the electronic fence according to the height adjustment distance and the real-time position of the vehicle to ensure the precise adjustment of the electronic fence.

[0069] 4) The present invention introduces an adjustment evolution coefficient to dynamically adjust the adjustment speed of the telescopic node according to the real-time speed and adjustment amount of the vehicle, thereby enhancing the adaptability and flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a flow chart of the electronic fence intelligent control and early warning method based on the monitoring of the door opening and closing state of the present invention;

[0071] Figure 2 It is a structural schematic diagram of the electronic fence intelligent control and early warning system based on door opening and closing status monitoring of the present invention. DETAILED DESCRIPTION

[0072] The specific implementation methods of an electronic fence intelligent control and early warning method and system based on door opening and closing state monitoring of the present invention are described in detail below with reference to the accompanying drawings.

[0073] Embodiment 1:

[0074] like Figure 1 As shown, the electronic fence intelligent control and early warning method based on door opening and closing state monitoring of the embodiment of the present invention includes the following specific steps:

[0075] Exemplarily, in this embodiment, the electronic fence including the retractable node specifically includes: a pole body, a special spring wire box, and an alloy wire, wherein the pole body is made of a high-strength lightweight alloy to achieve the lightness and durability of the fence; the alloy wire is made of stainless steel material with good elasticity and corrosion resistance to adapt to different environmental conditions.

[0076] Further, in this embodiment, the electronic fence including the retractable nodes is installed above the gate of the substation by means of a rivet structure;

[0077] Furthermore, the rod body is designed as a multi-section telescopic structure, which is telescoped through precise gears or slide rails to ensure smooth and accurate operation. In addition, the special spring take-up box design with built-in spring mechanism ensures the neat collection and release of the alloy wire to avoid entanglement and damage.

[0078] Furthermore, each metal conductor has a pulse voltage of 5kV-10kV and a wire diameter of φ2mm or more. The insulating parts are made of engineering plastics, and the pulse voltage resistance should be no less than 15kV. The warning signs are made of insulating materials, the writing should be clear, add night fluorescence, and not easy to fall off.

[0079] S1: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through the scanning device, and the vehicle's access permission is verified;

[0080] S1 includes the following specific steps:

[0081] S11: A geomagnetic sensor is embedded in the road surface in front of the substation gate to sense whether there is a suspicious vehicle about to enter the substation control area;

[0082] S12: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through a scanning device;

[0083] S13: Match the license plate information of the current suspicious vehicle in the historical released vehicle information database, and verify the vehicle's access rights. If the current suspicious vehicle is a historically released vehicle, mark the current suspicious vehicle as a safe passing vehicle, automatically grant access rights, and execute step S2;

[0084] S14: If the current suspicious vehicle cannot be matched in the historical released vehicle information database, a suspicious vehicle warning is issued, and the license plate information is sent to the administrator of the electronic fence monitoring center to manually verify the access rights of the current suspicious vehicle.

[0085] S2: extracting vehicle model information of safe-passing vehicles, intercepting the target expansion and contraction node of the electronic fence according to the vehicle model information and the expansion and contraction parameters of the electronic fence, and performing the first round of expansion and contraction adjustment processing on the electronic fence;

[0086] S2 includes the following specific steps:

[0087] S21: extracting vehicle model information of safe-passing vehicles from a historical released vehicle information database, wherein the vehicle model information includes original vehicle height data and original vehicle width data;

[0088] S22: synchronously obtaining telescopic parameters corresponding to the electronic fence above the substation gate, wherein the telescopic parameters corresponding to the electronic fence include: the total number of telescopic nodes of the electronic fence above the substation gate and the maximum telescopic length of the alloy wire between each node;

[0089] S23: construct a two-dimensional plane coordinate system of the electronic fence, wherein the original height of the substation gate is D; the coordinate origin of the two-dimensional plane coordinate system is the lower left corner vertex of the electronic fence, the horizontal axis of the two-dimensional plane coordinate system is parallel to the extension direction of the substation gate, and the vertical axis of the two-dimensional plane coordinate system is parallel to the vertical direction of the substation gate;

[0090] S24: Extract the position coordinate set A of each node on the electronic fence according to the two-dimensional plane coordinate system of the electronic fence, A = {(x i,j ,y i,j )}, i=1,2...I, j=1,2...J, where the electronic fence has a total of I rows and J columns of scalable nodes, i and j are row index and column index respectively, indicating the i-th row and j-th column; (x i,j ,y i,j ) represents the position coordinates of the scalable node at the i-th row and j-th column.

[0091] S2 also includes the following specific steps:

[0092] S25: According to the vehicle model information and the electronic fence expansion and contraction parameters, intercepting the target expansion and contraction node of the electronic fence, wherein intercepting the target expansion and contraction node of the electronic fence specifically includes: when the original height data of the vehicle body is greater than y1+D, it is necessary to perform a first round of expansion and contraction adjustment processing on the first row of expandable nodes of the electronic fence, wherein y1 is the ordinate of the first row of expandable nodes;

[0093] S26: When the original height data of the vehicle body is less than or equal to y1+D, it is not necessary to perform the first round of telescopic adjustment processing on the first row of telescopic nodes of the electronic fence;

[0094] S27: Perform the first round of telescopic adjustment on the electronic fence. The specific adjustment strategy includes: retracting the load-bearing rods where the first row of telescopic nodes of the electronic fence are located upward in the vertical direction of the gate to ensure that after the first round of telescopic adjustment, the distance between the first row of telescopic nodes of the electronic fence and the ground is equal to the original height data of the vehicle body.

[0095] S3: Perform height scanning processing on the special equipment loaded on the safe-passing vehicle to obtain the passing height level data set of the safe-passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation;

[0096] S3 includes the following specific steps:

[0097] S31: Performing height scanning processing on the special equipment loaded on the safe passing vehicle, extracting the height scanning image of the special equipment, and selecting N data sampling points on the top contour of the special equipment in the height scanning image, the height data collected by the N data sampling points constitute the passing height level data set of the safe passing vehicle;

[0098] S32: performing clustering processing on the traffic height level data set, wherein the clustering processing specifically includes: presetting a height level division threshold, performing difference processing on the height data collected from two adjacent data sampling points, and obtaining a set of height difference values ​​of the two adjacent data sampling points;

[0099] When the height difference between two adjacent data sampling points is less than or equal to the height level division threshold, it is determined that the two adjacent data sampling points belong to the same height level;

[0100] When the height difference between two adjacent data sampling points is greater than the height level division threshold, it is determined that the two adjacent data sampling points belong to different height levels;

[0101] S33: extracting the maximum height data in each height level as a reference for adjusting the height;

[0102] S34: Synchronously extract the contour length of each height level, and in the first row of scalable nodes of the electronic fence, match the scalable node closest to the contour starting point of each height level as the starting adjustment node of each height level according to the horizontal coordinate value of the scalable node, and match the scalable node closest to the contour ending point of each height level in the first row of scalable nodes of the electronic fence as the ending adjustment node of each height level, and the scalable nodes between the starting adjustment node and the ending adjustment node all maintain the same height adjustment distance, wherein each height level has a total of E scalable nodes;

[0103] S35: Obtaining a height adjustment distance of a retractable node of the electronic fence according to the reference adjustment height evaluation, wherein a calculation strategy of the height adjustment distance is specifically as follows:

[0104]

[0105] Wherein, u is a superscript, indicating the u-th height level; there are a total of eu scalable nodes between the starting adjustment node corresponding to the u-th height level and the terminating adjustment node;

[0106] Indicates e u The height adjustment distance of the retractable nodes;

[0107] Indicates e uThe vertical coordinate value of a scalable node after the first round of scaling adjustment;

[0108] CKu represents the reference adjustment altitude corresponding to the u-th altitude level.

[0109] S4: importing the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculating and obtaining the control direction angle of each target telescopic node on the electronic fence;

[0110] In S4, the scaling node control direction calculation strategy is as follows:

[0111]

[0112] in, is the control direction angle of the e-th scalable node in the u-th height level;

[0113] is the difference between the horizontal coordinate value of the starting adjustment node and the starting point of the u-th height level profile;

[0114] is the difference between the abscissa value of the termination adjustment node and the end point of the u-th height level profile.

[0115] S5: judging the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

[0116] S5 includes the following specific steps:

[0117] S51: determining the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, wherein the adjustment attribute of the target telescopic node specifically includes:

[0118] When e=1, according to the control direction angle Adjust the target telescopic node to the upper right, wherein the target telescopic node is the starting adjustment node;

[0119] When 1<e<E, adjust the target telescopic node vertically upward;

[0120] When e=E, according to the control direction angle The target telescopic node is adjusted to the upper left, and the target telescopic node is the termination adjustment node.

[0121] S5 also includes the following specific steps:

[0122] S52: performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate, wherein the secondary round of telescopic adjustment processing includes:

[0123]

[0124] Among them, k is the adjustment evolution coefficient, which is a constant value;

[0125] α1 and α2 are the adjustment amount ratio coefficient and speed ratio coefficient respectively;

[0126] Exemplarily, the adjustment evolution coefficient k, the adjustment amount proportion coefficient and the speed proportion coefficient α1, α2 are set by those skilled in the art according to the actual working scenarios of the electronic fence with different factory parameters;

[0127] In this embodiment, k = 0.3, α1 = 0.4, α2 = 0.6;

[0128] Q t ,Q t-1 are the remaining adjustment amounts of the target scaling node in adjustment period t and adjustment period t-1 respectively;

[0129] l t ,l t-1 They represent the real-time distance between the safe passing vehicle and the substation gate at the adjustment period t and the adjustment period t-1 respectively;

[0130] In this embodiment, Q t =5,Q t-1 =10; l t =10,l t-1 =20;

[0131] v t ,v t-1 are the adjustment speeds of the target scaling node in adjustment period t and adjustment period t-1 respectively;

[0132] In this embodiment, v t-1 =6;

[0133] V t ,V t-1 They represent the real-time speed of vehicles passing safely during adjustment period t and adjustment period t-1 respectively.

[0134] In this embodiment, V t =12,V t-1 =24;

[0135] For example, in this embodiment, the above formula can be used to obtain that in the second round of scaling adjustment processing, the adjustment speed of the target scaling node in the adjustment period t is v t =4.

[0136] Embodiment 2:

[0137] like Figure 2 As shown, the electronic fence intelligent control and early warning system based on door opening and closing state monitoring of the embodiment of the present invention includes the following modules:

[0138] Vehicle authority verification module, first-round telescopic adjustment module, adjustment distance assessment module, control direction angle calculation module, and second-round telescopic adjustment module;

[0139] The vehicle authority verification module identifies the license plate information of the suspicious vehicle through a scanning device and verifies the vehicle's access authority;

[0140] The first round of telescopic adjustment module is used to extract the vehicle model information of the safe passing vehicle, intercept the target telescopic node of the electronic fence according to the vehicle model information and the telescopic parameters of the electronic fence, and perform the first round of telescopic adjustment processing on the electronic fence;

[0141] The adjustment distance evaluation module is used to perform height scanning processing on the special equipment loaded on the safe passing vehicle, obtain the passing height level data set of the safe passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation;

[0142] The control direction angle calculation module is used to import the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculate and obtain the control direction angle of each target telescopic node on the electronic fence;

[0143] The secondary round telescopic adjustment module determines the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performs secondary round telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

[0144] Embodiment three:

[0145] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0146] The processor executes the above-mentioned electronic fence intelligent control and early warning method based on door opening and closing status monitoring by calling the computer program stored in the memory.

[0147] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the electronic fence intelligent control and early warning method based on the monitoring of the switch state provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface, so as to input and output data. This embodiment will not be described in detail here.

[0148] Embodiment 4:

[0149] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0150] When the computer program runs on a computer device, the computer device executes the above-mentioned electronic fence intelligent control and early warning method based on door opening and closing state monitoring.

[0151] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0152] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0153] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0154] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0155] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0156] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0157] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0159] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0160] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not intended to limit the present invention. A person skilled in the art should understand that the specific implementation of the present invention can be modified or replaced by equivalents, but these modifications or changes are within the scope of protection of the pending claims.

Claims

1. An electronic fence intelligent control and early warning method based on door opening and closing status monitoring, characterized in that: The electronic fence intelligent control early warning method comprises the following specific steps: S1: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through the scanning device, and the vehicle's access permission is verified; S2: extracting vehicle model information of safe-passing vehicles, intercepting the target expansion and contraction node of the electronic fence according to the vehicle model information and the expansion and contraction parameters of the electronic fence, and performing the first round of expansion and contraction adjustment processing on the electronic fence; S3: Perform height scanning processing on the special equipment loaded on the safe-passing vehicle to obtain the passing height level data set of the safe-passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation; S4: importing the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculating and obtaining the control direction angle of each target telescopic node on the electronic fence; S5: judging the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

2. According to claim 1, an electronic fence intelligent control and early warning method based on door opening and closing state monitoring is characterized in that: S1 includes the following specific steps: S11: A geomagnetic sensor is embedded in the road surface in front of the substation gate to sense whether there is a suspicious vehicle about to enter the substation control area; S12: When a suspicious vehicle is sensed to enter the area in front of the substation gate, the license plate information of the suspicious vehicle is identified through a scanning device; S13: Match the license plate information of the current suspicious vehicle in the historical released vehicle information database, and verify the vehicle's access rights. If the current suspicious vehicle is a historically released vehicle, mark the current suspicious vehicle as a safe passing vehicle, automatically grant access rights, and execute step S2; S14: If the current suspicious vehicle cannot be matched in the historical released vehicle information database, a suspicious vehicle warning is issued, and the license plate information is sent to the administrator of the electronic fence monitoring center to manually verify the access rights of the current suspicious vehicle.

3. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 2 is characterized in that: S2 includes the following specific steps: S21: extracting vehicle model information of safe-passing vehicles from a historical released vehicle information database, wherein the vehicle model information includes original vehicle height data and original vehicle width data; S22: synchronously obtaining telescopic parameters corresponding to the electronic fence above the substation gate, wherein the telescopic parameters corresponding to the electronic fence include: the total number of telescopic nodes of the electronic fence above the substation gate and the maximum telescopic length of the alloy wire between each node; S23: construct a two-dimensional plane coordinate system of the electronic fence, wherein the original height of the substation gate is D; the coordinate origin of the two-dimensional plane coordinate system is the lower left corner vertex of the electronic fence, the horizontal axis of the two-dimensional plane coordinate system is parallel to the extension direction of the substation gate, and the vertical axis of the two-dimensional plane coordinate system is parallel to the vertical direction of the substation gate; S24: Extract the position coordinate set A of each node on the electronic fence according to the two-dimensional plane coordinate system of the electronic fence, A = {(x i,j ,y i,j )}, i=1,2...I, j=1,2...J, where the electronic fence has a total of I rows and J columns of scalable nodes, i and j are row index and column index respectively, indicating the i-th row and j-th column; (x i,j ,y i,j ) represents the position coordinates of the scalable node at the i-th row and j-th column.

4. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 3 is characterized in that: S2 also includes the following specific steps: S25: According to the vehicle model information and the electronic fence expansion and contraction parameters, intercepting the target expansion and contraction node of the electronic fence, wherein the intercepting the target expansion and contraction node of the electronic fence specifically includes: when the original height data of the vehicle body is greater than y1+D, it is necessary to perform a first round of expansion and contraction adjustment processing on the first row of expandable nodes of the electronic fence, wherein y1 is the ordinate of the first row of expandable nodes; S26: When the original height data of the vehicle body is less than or equal to y1+D, it is not necessary to perform the first round of telescopic adjustment processing on the first row of telescopic nodes of the electronic fence; S27: Perform the first round of telescopic adjustment on the electronic fence. The specific adjustment strategy includes: retracting the load-bearing rods where the first row of telescopic nodes of the electronic fence are located upward in the vertical direction of the gate to ensure that after the first round of telescopic adjustment, the distance between the first row of telescopic nodes of the electronic fence and the ground is equal to the original height data of the vehicle body.

5. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 4 is characterized in that: S3 includes the following specific steps: S31: Performing height scanning processing on the special equipment loaded on the safe passing vehicle, extracting the height scanning image of the special equipment, and selecting N data sampling points on the top contour of the special equipment in the height scanning image, the height data collected by the N data sampling points constitute the passing height level data set of the safe passing vehicle; S32: performing clustering processing on the traffic height level data set, wherein the clustering processing specifically includes: presetting a height level division threshold, performing difference processing on the height data collected from two adjacent data sampling points, and obtaining a set of height difference values ​​of the two adjacent data sampling points; When the height difference between two adjacent data sampling points is less than or equal to the height level division threshold, it is determined that the two adjacent data sampling points belong to the same height level; When the height difference between two adjacent data sampling points is greater than the height level division threshold, it is determined that the two adjacent data sampling points belong to different height levels; S33: extracting the maximum height data in each height level as a reference for adjusting the height; S34: Synchronously extract the contour length of each height level, and in the first row of scalable nodes of the electronic fence, match the scalable node closest to the contour starting point of each height level as the starting adjustment node of each height level according to the horizontal coordinate value of the scalable node, and match the scalable node closest to the contour ending point of each height level in the first row of scalable nodes of the electronic fence as the ending adjustment node of each height level, and the scalable nodes between the starting adjustment node and the ending adjustment node all maintain the same height adjustment distance, wherein each height level has a total of E scalable nodes; S35: Obtaining a height adjustment distance of a retractable node of the electronic fence according to the reference adjustment height evaluation, wherein a calculation strategy of the height adjustment distance is specifically as follows: Wherein, u is a superscript, indicating the u-th height level; there are a total of eu scalable nodes between the starting adjustment node corresponding to the u-th height level and the terminating adjustment node; Indicates e u The height adjustment distance of the retractable nodes; Indicates e u The vertical coordinate value of a scalable node after the first round of scaling adjustment; CKu represents the reference adjustment altitude corresponding to the u-th altitude level.

6. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 5 is characterized in that: In S4, the scaling node control direction calculation strategy is as follows: in, is the control direction angle of the e-th scalable node in the u-th height level; is the difference between the horizontal coordinate value of the starting adjustment node and the starting point of the u-th height level profile; is the difference between the abscissa value of the termination adjustment node and the end point of the u-th height level profile.

7. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 6 is characterized in that: S5 includes the following specific steps: S51: determining the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, wherein the adjustment attribute of the target telescopic node specifically includes: When e=1, according to the control direction angle Adjust the target telescopic node to the upper right; When 1<e<E, adjust the target telescopic node vertically upward; When e=E, according to the control direction angle Adjust the target expansion node to the upper left.

8. The electronic fence intelligent control and early warning method based on door opening and closing state monitoring according to claim 7 is characterized in that: S5 also includes the following specific steps: S52: performing a secondary round of telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate, wherein the secondary round of telescopic adjustment processing includes: Among them, k is the adjustment evolution coefficient, which is a constant value; α1 and α2 are the adjustment amount ratio coefficient and speed ratio coefficient respectively; Q t ,Q t-1 are the remaining adjustment amounts of the target scaling node in adjustment period t and adjustment period t-1 respectively; l t ,l t-1 They represent the real-time distance between the safe passing vehicle and the substation gate at the adjustment period t and the adjustment period t-1 respectively; v t ,v t-1 are the adjustment speeds of the target scaling node in adjustment period t and adjustment period t-1 respectively; V t ,V t-1 They represent the real-time speed of vehicles passing safely during adjustment period t and adjustment period t-1 respectively.

9. An electronic fence intelligent control and early warning system based on door opening and closing state monitoring, which is implemented based on the electronic fence intelligent control and early warning method based on door opening and closing state monitoring as claimed in any one of claims 1 to 8, characterized in that: The system includes the following modules: Vehicle authority verification module, first-round telescopic adjustment module, adjustment distance assessment module, control direction angle calculation module, and second-round telescopic adjustment module; The vehicle authority verification module identifies the license plate information of the suspicious vehicle through a scanning device and verifies the vehicle's access authority; The first round of telescopic adjustment module is used to extract the vehicle model information of the safe passing vehicle, intercept the target telescopic node of the electronic fence according to the vehicle model information and the telescopic parameters of the electronic fence, and perform the first round of telescopic adjustment processing on the electronic fence; The adjustment distance evaluation module is used to perform height scanning processing on the special equipment loaded on the safe passing vehicle, obtain the passing height level data set of the safe passing vehicle, perform clustering processing on the passing height level data set, and obtain the height adjustment distance of the electronic fence according to the passing height level data set evaluation; The control direction angle calculation module is used to import the height adjustment distance of the electronic fence into the telescopic node control direction calculation strategy, and calculate and obtain the control direction angle of each target telescopic node on the electronic fence; The secondary round telescopic adjustment module determines the adjustment attribute of the target telescopic node according to the control direction angle of each target telescopic node on the electronic fence, and performs secondary round telescopic adjustment processing on each target telescopic node on the electronic fence according to the real-time distance between the safe passing vehicle and the substation gate.

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