Plane monitoring method, system and program product for border protection
Through distributed fiber listening hosts and intelligent signal processing, the problem of insufficient border monitoring coverage is solved, efficient and accurate intrusion warning and monitoring is achieved, and the reliability of border protection is improved.
Patent Information
- Application Number
- CN202510583515.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-07
- Publication Date
- 2025-08-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional border monitoring methods are difficult to fully cover complex terrain and harsh climate areas, and the response is lagging, and the lack of efficient and intelligent data collection and analysis processing capabilities, making it difficult to detect and warn security issues in a timely manner.
A distributed fiber listening host is used to obtain acoustic wave monitoring signals, intrusion detection is performed through spectrum feature analysis and convolutional neural network, and the intrusion point location is updated in combination with the fiber plane monitoring map to achieve the determination and alarm of intrusion points in the same area.
Long-distance, low-latency, and continuous coverage border intrusion monitoring is achieved, reducing misreports and false alarms, and improving the reliability and rapid accuracy of border plane intrusion monitoring.
Smart Images
Figure CN120452113A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of intrusion detection, and in particular relates to a plane monitoring method, system and program product for border protection. Background Art
[0002] Borders are often long and complex, requiring effective protection and monitoring measures to promptly detect and address various destabilizing factors, such as illegal intrusions. Traditional human patrols are often limited by natural conditions such as geography and climate, making it difficult to cover all border areas. This is especially true in areas with complex terrain and harsh climates, where patrol effectiveness is significantly reduced. Traditional monitoring equipment (such as cameras and telescopes) is limited by viewing angles, lighting conditions, and other factors, resulting in numerous blind spots and inability to fully cover border areas. These traditional monitoring methods often have a delayed response time, making it difficult to implement swift and effective countermeasures. Furthermore, they lack efficient and intelligent data collection, analysis, and processing capabilities, making it difficult to promptly detect and warn of security issues, reducing the efficiency and accuracy of border monitoring. Summary of the Invention
[0003] The purpose of the present invention is to provide a plane monitoring method, system and program product for border protection, so as to solve the above-mentioned problems existing in the prior art.
[0004] In order to achieve the above object, the present invention adopts the following technical solutions:
[0005] In a first aspect, a plane monitoring method for border protection is provided, comprising:
[0006] Obtain the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point;
[0007] intercepting an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determining position parameters of the abnormal sound wave signal segment;
[0008] Extract the spectrum features of each abnormal sound wave signal segment, and input the spectrum features into a preset intrusion detection model to perform intrusion detection, and obtain the intrusion detection results corresponding to the abnormal sound wave signal segment;
[0009] The abnormal acoustic wave signal segment with the intrusion detection result of intrusion is used as the target acoustic wave signal segment, and the target acoustic wave signal segment is associated with the corresponding position parameter;
[0010] Retrieving a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line is matched with a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the location parameters and sampling time corresponding to the intrusion point;
[0011] According to the position parameters of the target acoustic wave signal segment, a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point are marked on the corresponding optical fiber line in the optical fiber plane monitoring map, and the updated optical fiber plane monitoring map is obtained;
[0012] Based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the location parameters and sampling time corresponding to the intrusion points, it is determined whether there are intrusion points in the same area on each optical fiber line within the set time period;
[0013] When it is determined that there are intrusion points in the same area on each optical fiber line within the set time period, an intrusion alarm is issued based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line.
[0014] In one possible design, intercepting an abnormal acoustic wave signal segment from the corresponding acoustic wave monitoring signal and determining a position parameter of the abnormal acoustic wave signal segment includes:
[0015] The acoustic wave signal segment whose amplitude reaches the set amplitude condition in the acoustic wave monitoring signal is cut out as the abnormal acoustic wave signal segment;
[0016] The amplitude peak point of the abnormal sound wave signal segment and the position parameters of the amplitude peak point in the sound wave monitoring signal are determined, and the position parameters of the amplitude peak point in the sound wave monitoring signal are used as the position parameters of the corresponding abnormal sound wave signal segment.
[0017] In one possible design, extracting the spectrum features of each abnormal sound wave signal segment and inputting the spectrum features into a preset intrusion detection model for intrusion detection includes:
[0018] The abnormal sound wave signal segment is converted into spectrum information through fast Fourier transform, and a spectrum graph is constructed based on the spectrum information;
[0019] Spectral features are extracted from the spectrum graph and input into a preset intrusion detection model for intrusion detection. The intrusion detection model uses a convolutional neural network trained with a training set, which contains several spectral feature samples marked with intrusion labels and several spectral feature samples marked with non-intrusion labels.
[0020] In one possible design, marking a new intrusion point on a corresponding optical fiber line in an optical fiber plane monitoring diagram according to the position parameter of the target acoustic wave signal segment, as well as the position parameter and sampling time corresponding to the new intrusion point, includes:
[0021] Determine the optical fiber to which the target acoustic wave signal segment belongs, and the optical fiber line corresponding to the optical fiber, and a position parameter corresponding to one of the directional coordinates of the optical fiber line in the optical fiber plane monitoring map;
[0022] According to the position parameters of the target acoustic wave signal segment, a new intrusion point is marked in the corresponding optical fiber line, and the position parameters and sampling time corresponding to the new intrusion point are marked.
[0023] In one possible design, the determining whether there are intrusion points in the same area on each optical fiber line within a set time period based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the location parameters and sampling times corresponding to the intrusion points, includes:
[0024] Perform intrusion point traversal matching on any two adjacent optical fiber lines in the updated optical fiber plane monitoring map. When there are intrusion points on any two adjacent optical fiber lines whose position parameter difference is less than the set distance threshold and whose sampling time is within the set time period, the intrusion points belonging to the two adjacent optical fiber lines are regarded as adjacent intrusion points, and the two adjacent intrusion points are regarded as intrusion points in the same area.
[0025] When there are adjacent intrusion points between multiple continuous optical fiber lines, and the adjacent intrusion points in pairs overlap, these adjacent intrusion points in pairs are used as intrusion points to be detected. The position parameters of all the intrusion points to be detected are substituted into the detection formula for calculation to obtain the adjacent detection values between all the intrusion points to be detected. When the adjacent detection value is less than the set detection threshold, all the intrusion points to be detected are regarded as intrusion points in the same area. The detection formula is:
[0026]
[0027] Among them, S represents the adjacent detection value between all intrusion points to be tested, i is the number of the intrusion point to be tested, n is the total number of all intrusion points to be tested, and x i is the location parameter of the intrusion point i to be tested, and μ is the average value of the location parameters of all intrusion points to be tested.
[0028] In one possible design, when the number of intrusion points in the same area does not exceed a set threshold, the first intrusion alarm information is generated by combining the location parameters and sampling time of each intrusion point in the same area, and the first intrusion alarm information is output to perform a level 1 intrusion alarm;
[0029] When the number of intrusion points in the same area exceeds a set threshold, the second intrusion alarm information is generated by combining the location parameters and sampling time of each intrusion point in the same area, and the second intrusion alarm information is output for a secondary intrusion alarm.
[0030] In one possible design, the method further includes:
[0031] Determine the order of each optical fiber line in the optical fiber plane monitoring map, and use the order of the optical fiber lines as the serial number of the intrusion points in the same area;
[0032] Arrange the serial numbers of the invasion points in the same area according to the sampling time sequence of the invasion points in the same area to obtain the serial number queue of the invasion points in the same area;
[0033] When the sequence numbers in the sequence number queue of the intrusion points in the same area are arranged from low to high, the abnormal movement direction is determined to be the first direction. When the sequence numbers in the sequence number queue of the intrusion points in the same area are arranged from high to low, the abnormal movement direction is determined to be the second direction.
[0034] The determined abnormal movement direction is incorporated into the first intrusion alarm information or the second intrusion alarm information.
[0035] In a second aspect, a plane monitoring system for border protection is provided, comprising a signal acquisition unit, an anomaly interception unit, an intrusion detection unit, a target determination unit, a map retrieval unit, a point calibration unit, a point determination unit, and an intrusion alarm unit, wherein:
[0036] A signal acquisition unit, used to acquire the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point;
[0037] an abnormal interception unit, used to intercept an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determine a position parameter of the abnormal sound wave signal segment;
[0038] The intrusion detection unit is used to extract the spectrum characteristics of each abnormal sound wave signal segment and input the spectrum characteristics into a preset intrusion detection model to perform intrusion detection and obtain the intrusion detection result corresponding to the abnormal sound wave signal segment;
[0039] a target determination unit, configured to use the abnormal acoustic wave signal segment whose intrusion detection result is intrusion as the target acoustic wave signal segment, and associate the target acoustic wave signal segment with the corresponding position parameter;
[0040] A map retrieval unit is used to retrieve a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line is matched with a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the position parameters and sampling time corresponding to the intrusion point;
[0041] A point calibration unit is used to mark a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point in the corresponding optical fiber line in the optical fiber plane monitoring map according to the position parameters of the target acoustic wave signal segment, and to update the optical fiber plane monitoring map;
[0042] A point determination unit is used to determine whether there are intrusion points in the same area on each optical fiber line within a set time period based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the position parameters and sampling time corresponding to the intrusion points;
[0043] The intrusion alarm unit is used to generate an intrusion alarm based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line when it is determined that there are intrusion points in the same area on each optical fiber line within a set time period.
[0044] In a third aspect, a plane monitoring system for border protection is provided, comprising:
[0045] a memory for storing instructions;
[0046] A processor is used to read the instructions stored in the memory and execute any one of the methods described in the first aspect according to the instructions.
[0047] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform any one of the methods described in the first aspect. Furthermore, a computer program product is provided that, when executed on a computer, performs any one of the methods described in the first aspect.
[0048] Beneficial Effects: The present invention intercepts abnormal signal segments and performs intrusion detection analysis by sampling the acoustic wave monitoring signals of each optical fiber laid out on a plane, thereby determining the intrusion points corresponding to each optical fiber line. Then, when it is determined that intrusion points exist in the same area on multiple optical fiber lines, an intrusion alarm is issued based on the location parameters and sampling time of the intrusion points in the same area, thereby achieving efficient and accurate border plane intrusion monitoring. Through plane-distributed optical fiber monitoring signal acquisition and intelligent signal processing and analysis, the present invention can achieve long-distance, low-latency, and continuous coverage border intrusion protection monitoring, and provide rapid and accurate border intrusion warnings, reducing missed reports and false alarms, and improving the reliability of border plane intrusion monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0050] Figure 1 Schematic diagram of the steps of the method in Example 1 of the present invention;
[0051] Figure 2 Schematic diagram of the system structure in Example 2 of the present invention;
[0052] Figure 3 This is a schematic diagram of the system structure in Example 3 of the present invention. DETAILED DESCRIPTION
[0053] It should be noted that the description of these embodiments is intended to help understand the present invention, but does not constitute a limitation of the present invention. The specific structural and functional details disclosed herein are merely intended to describe exemplary embodiments of the present invention. However, the present invention may be embodied in a variety of alternative forms, and should not be construed as being limited to the embodiments set forth herein.
[0054] It should be understood that, unless otherwise expressly specified or limited, the corresponding terms should be understood in a broad sense. For example, "connection" can refer to a fixed connection, a detachable connection, or an integral connection; it can refer to a direct connection, an indirect connection through an intermediate medium, or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the embodiments based on specific circumstances.
[0055] In the following description, certain details are provided to facilitate a thorough understanding of the example embodiments. However, one skilled in the art will appreciate that the example embodiments may be practiced without these specific details. For example, devices may be shown in block diagrams to avoid obscuring the examples with unnecessary detail. In other embodiments, well-known processes, structures, and techniques may be shown without unnecessary detail to avoid obscuring the embodiments.
[0056] Example 1:
[0057] This embodiment provides a plane monitoring method for border protection, which can be applied to corresponding monitoring terminals, such as Figure 1 As shown, the method includes the following steps:
[0058] S1. Obtain the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point.
[0059] In specific implementation, several optical fibers can be pre-laid in the plane of the monitored border area (for example, four optical fibers laid in parallel, with each fiber spaced 1 meter apart). Each optical fiber is connected to a distributed optical fiber listening host. When an intrusion occurs at a certain point in the optical fiber, some characteristics of the light transmitted in the fiber will change. The photoelectric detection module of the distributed optical fiber listening host collects the optical signal, determines whether the optical fiber vibration signal generates Rayleigh scattered return light, and can then detect the signal wave corresponding to the intrusion location. The acoustic wave monitoring signal is then restored based on the amplitude of the signal wave. The distributed optical fiber listening host can simultaneously listen to the acoustic wave monitoring signals of each optical fiber and sample and output them. The monitoring terminal can obtain the acoustic wave monitoring signals of each optical fiber detected by the distributed optical fiber listening host at each sampling time point.
[0060] S2. intercepting an abnormal sound wave signal segment from the corresponding sound wave monitoring signal, and determining position parameters of the abnormal sound wave signal segment.
[0061] During specific implementation, the monitoring terminal can extract the acoustic signal segment in the acoustic monitoring signal whose amplitude reaches the set amplitude condition as the abnormal acoustic signal segment; then determine the amplitude peak point of the abnormal acoustic signal segment and the position parameters of the amplitude peak point in the acoustic monitoring signal, and use the position parameters of the amplitude peak point in the acoustic monitoring signal as the position parameters of the corresponding abnormal acoustic signal segment. The position parameters are the distance of the amplitude peak point from the initial position of the acoustic monitoring signal, that is, the distance between the point where the amplitude peak is detected in the corresponding optical fiber signal and the initial point of the optical fiber layout.
[0062] S3. Extract the spectrum features of each abnormal sound wave signal segment, and input the spectrum features into a preset intrusion detection model to perform intrusion detection, and obtain the intrusion detection results corresponding to the abnormal sound wave signal segment.
[0063] In specific implementations, the monitoring terminal converts abnormal acoustic signal segments into spectral information through a fast Fourier transform and constructs a spectrogram based on the spectral information. Spectral features are then extracted from the spectrogram and input into a pre-set intrusion detection model for intrusion detection. The intrusion detection model uses a convolutional neural network trained with a training set containing several spectral feature samples labeled with intrusion labels and several spectral feature samples labeled with non-intrusion labels. The intrusion detection model outputs an intrusion detection result corresponding to the abnormal acoustic signal segment, indicating either intrusion or non-intrusion.
[0064] S4. Taking the abnormal sound wave signal segment with the intrusion detection result of intrusion as the target sound wave signal segment, and associating the target sound wave signal segment with the corresponding position parameter.
[0065] In specific implementation, the monitoring terminal uses the abnormal sound wave signal segment determined as an intrusion by the intrusion detection result as the target sound wave signal segment, and associates the target sound wave signal segment with the corresponding position parameter so as to perform subsequent intrusion point analysis using the position parameter.
[0066] S5. Retrieve a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line matches a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the location parameters and sampling time corresponding to the intrusion point.
[0067] In practice, when analyzing intrusion points, the monitoring terminal first retrieves a pre-stored fiber optic planar monitoring map. This map contains several parallel optical fiber lines, each corresponding to a corresponding optical fiber. Each line is marked with the intrusion point at each historical sampling point, along with the corresponding location parameters and sampling time. The map can be configured with corresponding directional coordinates, with coordinate parameters set along the length of the optical fiber line corresponding to the location parameters.
[0068] S6. Mark the new intrusion point and the position parameters and sampling time corresponding to the new intrusion point on the corresponding optical fiber line in the optical fiber plane monitoring map according to the position parameters of the target acoustic wave signal segment, and update the optical fiber plane monitoring map.
[0069] During specific implementation, the monitoring terminal determines the optical fiber to which the target acoustic wave signal segment belongs, and the optical fiber line corresponding to the optical fiber, and the position parameter corresponding to one of the directional coordinates (such as the length direction coordinate) of the optical fiber line in the optical fiber plane monitoring map; then, according to the position parameter of the target acoustic wave signal segment, a new intrusion point (i.e., the intrusion point detected at the current sampling time point) is marked in the corresponding optical fiber line, and the position parameter and sampling time corresponding to the new intrusion point are marked.
[0070] S7. Based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the position parameters and sampling time corresponding to the intrusion points, determine whether there are intrusion points in the same area on each optical fiber line within the set time period.
[0071] During specific implementation, the monitoring terminal performs intrusion point traversal matching on any two adjacent optical fiber lines in the updated optical fiber plane monitoring map. When there are intrusion points on any two adjacent optical fiber lines whose position parameter difference is less than the set distance threshold and whose sampling time is within the set time period, the intrusion points belonging to the two adjacent optical fiber lines are regarded as adjacent intrusion points, and the two adjacent intrusion points are regarded as intrusion points in the same area.
[0072] When there are adjacent intrusion points between two of the continuous optical fiber lines, and the two adjacent intrusion points overlap in sequence, these two adjacent intrusion points are used as intrusion points to be tested. For example, if there are 4 optical fiber lines, each optical fiber line is numbered 1, 2, 3, and 4 in sequence, there is an intrusion point a on optical fiber line No. 1, an intrusion point b on optical fiber line No. 2, an intrusion point c on optical fiber line No. 3, and an intrusion point d on optical fiber line No. 4, when the intrusion point a on optical fiber line No. 1 and the intrusion point b on optical fiber line No. 2 are adjacent intrusion points, the intrusion point b on optical fiber line No. 2 and the intrusion point c on optical fiber line No. 3 are adjacent intrusion points, and the intrusion point c on optical fiber line No. 3 and the intrusion point d on optical fiber line No. 4 are adjacent intrusion points, that is, there is an overlapping point b between the paired adjacent intrusion points ab and the paired adjacent intrusion points bc, and there is an overlapping point c between the paired adjacent intrusion points bc and the paired adjacent intrusion point cd, then the situation is satisfied that the pairs of adjacent intrusion points overlap in sequence. At this time, the pairs of adjacent intrusion points a, b, c, and d can all be used as intrusion points to be tested.
[0073] Then, the position parameters of all the intrusion points to be tested are substituted into the detection formula for calculation to obtain the adjacent detection values between all the intrusion points to be tested. When the adjacent detection value is less than the set detection threshold, all the intrusion points to be tested are regarded as intrusion points in the same area. The detection formula is:
[0074]
[0075] Among them, S represents the adjacent detection value between all intrusion points to be tested, i is the number of the intrusion point to be tested, n is the total number of all intrusion points to be tested, and x i is the location parameter of the intrusion point i to be tested, and μ is the average value of the location parameters of all intrusion points to be tested.
[0076] S8. When it is determined that there are intrusion points in the same area on each optical fiber line within the set time period, an intrusion alarm is issued based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line.
[0077] In specific implementations, when the number of intrusion points in the same area does not exceed a set threshold (e.g., 2), the monitoring terminal may generate a first intrusion alarm message based on the location parameters and sampling time of each intrusion point in the same area, and output the first intrusion alarm message as a level 1 intrusion alarm. When the number of intrusion points in the same area exceeds the set threshold, the monitoring terminal may generate a second intrusion alarm message based on the location parameters and sampling time of each intrusion point in the same area, and output the second intrusion alarm message as a level 2 intrusion alarm.
[0078] At the same time, the monitoring terminal can also determine the order of each optical fiber line in the optical fiber plane monitoring diagram, and use the order of the optical fiber lines as the serial number of the corresponding intrusion point in the same area; then the serial numbers of the intrusion points in the same area are arranged in chronological order according to the sampling time of the intrusion points in the same area to obtain the serial number queue of the intrusion points in the same area; when the serial numbers in the serial number queue of the intrusion points in the same area are arranged from low to high, the direction of the abnormal movement is determined to be the first direction (such as from the inside to the outside); when the serial numbers in the serial number queue of the intrusion points in the same area are arranged from high to low, the direction of the abnormal movement is determined to be the second direction (such as from the outside to the inside); finally, the determined abnormal movement directions are merged into the first intrusion alarm information or the second intrusion alarm information.
[0079] This method can achieve long-distance, low-latency, and continuous coverage border intrusion protection monitoring through planar distributed optical fiber monitoring signal acquisition and intelligent signal processing and analysis, and can provide fast and accurate border intrusion warnings, reduce missed reports and false alarms, and improve the reliability of border plane intrusion monitoring.
[0080] Example 2:
[0081] This embodiment provides a plane monitoring system for border protection, such as Figure 2 As shown, it includes a signal acquisition unit, an abnormality interception unit, an intrusion detection unit, a target determination unit, a map retrieval unit, a point calibration unit, a point determination unit and an intrusion alarm unit, wherein:
[0082] A signal acquisition unit, used to acquire the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point;
[0083] an abnormal interception unit, used to intercept an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determine a position parameter of the abnormal sound wave signal segment;
[0084] The intrusion detection unit is used to extract the spectrum characteristics of each abnormal sound wave signal segment and input the spectrum characteristics into a preset intrusion detection model to perform intrusion detection and obtain the intrusion detection result corresponding to the abnormal sound wave signal segment;
[0085] a target determination unit, configured to use the abnormal acoustic wave signal segment whose intrusion detection result is intrusion as the target acoustic wave signal segment, and associate the target acoustic wave signal segment with the corresponding position parameter;
[0086] A map retrieval unit is used to retrieve a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line is matched with a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the position parameters and sampling time corresponding to the intrusion point;
[0087] A point calibration unit is used to mark a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point in the corresponding optical fiber line in the optical fiber plane monitoring map according to the position parameters of the target acoustic wave signal segment, and to update the optical fiber plane monitoring map;
[0088] A point determination unit is used to determine whether there are intrusion points in the same area on each optical fiber line within a set time period based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the position parameters and sampling time corresponding to the intrusion points;
[0089] The intrusion alarm unit is used to generate an intrusion alarm based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line when it is determined that there are intrusion points in the same area on each optical fiber line within a set time period.
[0090] Example 3:
[0091] This embodiment provides a plane monitoring system for border protection, such as Figure 3 As shown, at the hardware level, it includes:
[0092] Data interface, used to establish data connection between the processor and the distributed optical fiber listening host;
[0093] a memory for storing instructions;
[0094] The processor is used to read the instructions stored in the memory and execute the plane monitoring method for border protection in Example 1 according to the instructions.
[0095] Optionally, the system further includes an internal bus, through which the processor, memory, and data interface can be interconnected. The internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.
[0096] The memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out memory (FIFO) and / or first-in-last-out memory (FILO), etc. The processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0097] Example 4:
[0098] This embodiment provides a computer-readable storage medium having instructions stored thereon. When the instructions are executed on a computer, the computer executes the plane monitoring method for border protection described in Example 1. The computer-readable storage medium refers to a medium for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash drive, and / or a memory stick. The computer may be a general-purpose computer, a dedicated computer, a computer network, or other programmable device.
[0099] This embodiment further provides a computer program product, which, when executed on a computer, executes the plane monitoring method for border protection in Embodiment 1. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
[0100] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.
Claims
1. A plane monitoring method for border protection, characterized in that: include: Obtain the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point; intercepting an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determining position parameters of the abnormal sound wave signal segment; Extract the spectrum features of each abnormal sound wave signal segment, and input the spectrum features into a preset intrusion detection model to perform intrusion detection, and obtain the intrusion detection results corresponding to the abnormal sound wave signal segment; The abnormal acoustic wave signal segment whose intrusion detection result is intrusion is used as the target acoustic wave signal segment, and the target acoustic wave signal segment is associated with the corresponding position parameter; Retrieving a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line is matched with a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the location parameters and sampling time corresponding to the intrusion point; According to the position parameters of the target acoustic wave signal segment, a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point are marked on the corresponding optical fiber line in the optical fiber plane monitoring map, and the updated optical fiber plane monitoring map is obtained; Based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the location parameters and sampling time corresponding to the intrusion points, it is determined whether there are intrusion points in the same area on each optical fiber line within the set time period; When it is determined that there are intrusion points in the same area on each optical fiber line within the set time period, an intrusion alarm is issued based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line.
2. A plane monitoring method for border protection according to claim 1, characterized in that: The method of intercepting an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determining a position parameter of the abnormal sound wave signal segment includes: The acoustic wave signal segment whose amplitude reaches the set amplitude condition in the acoustic wave monitoring signal is cut out as the abnormal acoustic wave signal segment; The amplitude peak point of the abnormal sound wave signal segment and the position parameters of the amplitude peak point in the sound wave monitoring signal are determined, and the position parameters of the amplitude peak point in the sound wave monitoring signal are used as the position parameters of the corresponding abnormal sound wave signal segment.
3. A plane monitoring method for border protection according to claim 1, characterized in that: The extracting of the spectrum features of each abnormal sound wave signal segment and inputting the spectrum features into a preset intrusion detection model for intrusion detection includes: The abnormal sound wave signal segment is converted into spectrum information through fast Fourier transform, and a spectrum graph is constructed based on the spectrum information; Spectral features are extracted from the spectrum graph and input into a preset intrusion detection model for intrusion detection. The intrusion detection model uses a convolutional neural network trained with a training set, which contains several spectral feature samples marked with intrusion labels and several spectral feature samples marked with non-intrusion labels.
4. A plane monitoring method for border protection according to claim 1, characterized in that: The marking of a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point on the corresponding optical fiber line in the optical fiber plane monitoring diagram according to the position parameters of the target acoustic wave signal segment includes: Determine the optical fiber to which the target acoustic wave signal segment belongs, and the optical fiber line corresponding to the optical fiber, and a position parameter corresponding to one of the directional coordinates of the optical fiber line in the optical fiber plane monitoring map; According to the position parameters of the target acoustic wave signal segment, a new intrusion point is marked in the corresponding optical fiber line, and the position parameters and sampling time corresponding to the new intrusion point are marked.
5. The plane monitoring method for border protection according to claim 1, characterized in that: The determining whether there are intrusion points in the same area on each optical fiber line within a set time period based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the position parameters and sampling times corresponding to the intrusion points, includes: Perform intrusion point traversal matching on any two adjacent optical fiber lines in the updated optical fiber plane monitoring map. When there are intrusion points on any two adjacent optical fiber lines whose position parameter difference is less than the set distance threshold and whose sampling time is within the set time period, the intrusion points belonging to the two adjacent optical fiber lines are regarded as adjacent intrusion points, and the two adjacent intrusion points are regarded as intrusion points in the same area. When there are adjacent intrusion points between multiple continuous optical fiber lines, and the adjacent intrusion points in pairs overlap, these adjacent intrusion points in pairs are used as intrusion points to be detected. The position parameters of all the intrusion points to be detected are substituted into the detection formula for calculation to obtain the adjacent detection values between all the intrusion points to be detected. When the adjacent detection value is less than the set detection threshold, all the intrusion points to be detected are regarded as intrusion points in the same area. The detection formula is: Among them, S represents the adjacent detection value between all intrusion points to be tested, i is the number of the intrusion point to be tested, n is the total number of all intrusion points to be tested, and x i is the location parameter of the intrusion point i to be tested, and μ is the average value of the location parameters of all intrusion points to be tested.
6. A plane monitoring method for border protection according to claim 1, characterized in that: The intrusion alarm is performed based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line, including: When the number of intrusion points in the same area does not exceed the set number threshold, the first intrusion alarm information is generated by combining the location parameters and sampling time of each intrusion point in the same area, and the first intrusion alarm information is output to perform a level 1 intrusion alarm; When the number of intrusion points in the same area exceeds a set threshold, the second intrusion alarm information is generated by combining the location parameters and sampling time of each intrusion point in the same area, and the second intrusion alarm information is output for a secondary intrusion alarm.
7. A plane monitoring method for border protection according to claim 6, characterized in that: The method further comprises: Determine the order of each optical fiber line in the optical fiber plane monitoring map, and use the order of the optical fiber lines as the serial number of the intrusion points in the same area; Arrange the serial numbers of the invasion points in the same area according to the sampling time sequence of the invasion points in the same area to obtain the serial number queue of the invasion points in the same area; When the sequence numbers in the sequence number queue of the intrusion points in the same area are arranged from low to high, the abnormal movement direction is determined to be the first direction. When the sequence numbers in the sequence number queue of the intrusion points in the same area are arranged from high to low, the abnormal movement direction is determined to be the second direction. The determined abnormal movement direction is incorporated into the first intrusion alarm information or the second intrusion alarm information.
8. A plane monitoring system for border protection, characterized in that: It includes a signal acquisition unit, an abnormality interception unit, an intrusion detection unit, a target determination unit, a map retrieval unit, a point calibration unit, a point determination unit and an intrusion alarm unit, wherein: A signal acquisition unit, used to acquire the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber monitoring host at the current sampling time point; an abnormal interception unit, used to intercept an abnormal sound wave signal segment from the corresponding sound wave monitoring signal and determine a position parameter of the abnormal sound wave signal segment; The intrusion detection unit is used to extract the spectrum characteristics of each abnormal sound wave signal segment and input the spectrum characteristics into a preset intrusion detection model to perform intrusion detection and obtain the intrusion detection result corresponding to the abnormal sound wave signal segment; a target determination unit, configured to use the abnormal acoustic wave signal segment whose intrusion detection result is intrusion as the target acoustic wave signal segment, and associate the target acoustic wave signal segment with the corresponding position parameter; A map retrieval unit is used to retrieve a pre-stored optical fiber plane monitoring map, wherein the optical fiber plane monitoring map includes a plurality of optical fiber lines arranged in parallel in a plane, each optical fiber line is matched with a corresponding optical fiber, and each optical fiber line is marked with an intrusion point at each historical sampling time point, as well as the position parameters and sampling time corresponding to the intrusion point; A point calibration unit is used to mark a new intrusion point and the position parameters and sampling time corresponding to the new intrusion point in the corresponding optical fiber line in the optical fiber plane monitoring map according to the position parameters of the target acoustic wave signal segment, and to update the optical fiber plane monitoring map; A point determination unit is used to determine whether there are intrusion points in the same area on each optical fiber line within a set time period based on the intrusion points on each optical fiber line in the updated optical fiber plane monitoring map, as well as the position parameters and sampling time corresponding to the intrusion points; The intrusion alarm unit is used to generate an intrusion alarm based on the position parameters and sampling time of the intrusion points in the same area on each optical fiber line when it is determined that there are intrusion points in the same area on each optical fiber line within a set time period.
9. A plane monitoring system for border protection, characterized in that: include: a memory for storing instructions; A processor is used to read the instructions stored in the memory and execute the plane monitoring method for border protection according to any one of claims 1 to 7 according to the instructions.
10. A computer program product, characterized in that When the computer program product is run on a computer, the plane monitoring method for border protection according to any one of claims 1 to 7 is executed.