A three-dimensional border protection monitoring method, system, and program product

Abstract

This invention belongs to the field of intrusion detection technology, specifically disclosing a three-dimensional border protection monitoring method, system, and program product. It involves sampling acoustic monitoring signals from various optical fibers deployed in a three-dimensional manner to extract abnormal signal segments and perform intrusion detection analysis to identify target acoustic signal segments. Then, based on the fiber optic number and fiber segment number of each target acoustic signal segment, it performs matching within the same area. Finally, based on the number of matched target acoustic signal segments in the same area, the fiber optic number, and the fiber segment number, an intrusion alarm is triggered, achieving efficient and accurate three-dimensional border protection monitoring. This invention, through three-dimensional optical fiber monitoring signal acquisition and intelligent signal processing and analysis, can achieve long-distance, low-latency, and continuous coverage border intrusion protection monitoring, and provide rapid and accurate border intrusion early warning, reducing missed and false alarms and improving the reliability of border protection monitoring.

Description

Technical Field

[0001] This invention belongs to the field of intrusion detection technology, specifically relating to a three-dimensional border protection monitoring method, system, and program product. Background Technology

[0002] Border lines are often long and have complex terrain, requiring effective protection and monitoring measures to promptly detect and address various destabilizing factors, such as illegal intrusions. Traditional manual patrols are often limited by geographical and climatic conditions, making it difficult to cover all border areas, especially in areas with complex terrain and harsh climates, where patrol effectiveness is significantly reduced. Traditional surveillance equipment (such as cameras and telescopes) is limited by factors like viewing angle and lighting, resulting in numerous blind spots and inability to comprehensively cover the border area. These traditional monitoring methods are often slow to react, making it difficult to take swift and effective countermeasures, and lack efficient and intelligent data collection and analysis capabilities, leading to difficulties in timely detection and early warning of security issues, thus reducing the efficiency and accuracy of border monitoring. Summary of the Invention

[0003] The purpose of this invention is to provide a three-dimensional border protection monitoring method, system, and program product to solve the above-mentioned problems existing in the prior art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] Firstly, a three-dimensional border protection monitoring method is provided, including:

[0006] Acquire the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number.

[0007] Extract the abnormal acoustic wave signal segment from the corresponding acoustic wave monitoring signal and determine the fiber optic segment number corresponding to the abnormal acoustic wave signal segment.

[0008] Extract the spectral features of each abnormal acoustic signal segment, and input the spectral features into a preset intrusion detection model for intrusion detection to obtain the intrusion detection results of the corresponding abnormal acoustic signal segment;

[0009] The abnormal acoustic signal segment that the intrusion detection result indicates is the target acoustic signal segment, and the target acoustic signal segment is associated with the corresponding fiber optic number and fiber optic segment number.

[0010] Based on the fiber number and fiber segment number of each target acoustic signal segment, perform a traversal and matching of the same region for each target acoustic signal segment to determine whether there are target acoustic signal segments in the same region.

[0011] When it is determined that there are target acoustic signal segments in the same area, the number of target acoustic signal segments in the same area is determined.

[0012] Intrusion alarms are triggered based on the number of target acoustic signal segments in the same area, as well as the fiber optic cable number and fiber optic segment number of each target acoustic signal segment in the same area.

[0013] In one possible design, the step of extracting abnormal acoustic signal segments from the corresponding acoustic monitoring signals and determining the fiber optic segment number corresponding to the abnormal acoustic signal segments includes:

[0014] The acoustic wave signal segments whose amplitude reaches the set amplitude condition are extracted from the acoustic wave monitoring signals and regarded as abnormal acoustic wave signal segments.

[0015] The location information of the abnormal acoustic signal segment in the acoustic monitoring signal is determined, and the location information is mapped to the optical fiber with the corresponding optical fiber number. The optical fiber segment to which the location information belongs in the corresponding optical fiber and the optical fiber segment number corresponding to the optical fiber segment are determined. The optical fiber segment number is associated with the corresponding abnormal acoustic signal segment. The optical fiber is divided into several optical fiber segments, and each optical fiber segment is assigned a corresponding optical fiber segment number.

[0016] In one possible design, the extraction of spectral features from each abnormal acoustic signal segment and the input of these spectral features into a pre-defined intrusion detection model for intrusion detection includes:

[0017] The abnormal acoustic signal segment is converted into spectral information by fast Fourier transform, and a spectrum diagram is constructed based on the spectral information;

[0018] Spectral features are 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 on a training set, which contains several spectral feature samples labeled with intrusion tags and several spectral feature samples labeled with non-intrusion tags.

[0019] In one possible design, the step of performing a region-wide traversal matching of each target acoustic signal segment based on the fiber optic number and fiber segment number to determine whether there are target acoustic signal segments in the same region includes:

[0020] Any target acoustic signal segment is used as a reference target acoustic signal segment, and all other target acoustic signal segments whose fiber numbers are different from those of the reference target acoustic signal segment are merged into the target set.

[0021] Based on the fiber segment number of the reference target acoustic signal segment and the fiber segment number of each target acoustic signal segment in the target set, the target acoustic signal segments in the target set that are adjacent to the fiber segment of the reference target acoustic signal segment are determined.

[0022] The acoustic signal segment of the reference target and the target acoustic signal segment in the target set that is adjacent to the optical fiber segment of the reference target acoustic signal segment are identified as target acoustic signal segments in the same region.

[0023] In one possible design, determining the target acoustic signal segment in the target set that is adjacent to the fiber segment of the reference target acoustic signal segment, based on the fiber segment number of the reference target acoustic signal segment and the fiber segment number of each target acoustic signal segment in the target set, includes:

[0024] Subtract the fiber segment number of the target acoustic signal segment in the target set from the fiber segment number of the reference target acoustic signal segment to obtain the number difference.

[0025] If the absolute value of the difference in the number is less than or equal to the set difference threshold, then the corresponding target acoustic signal segment in the target set is determined to be adjacent to the fiber segment of the reference target acoustic signal segment.

[0026] In one possible design, the intrusion alarm based on the number of all target acoustic signal segments in the same area and the fiber optic cable number and fiber optic segment number of each target acoustic signal segment in the same area includes:

[0027] When the number of target acoustic signal segments in the same area does not reach the set threshold, the first intrusion alarm information is generated by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and the first intrusion alarm information is output to perform a first-level intrusion alarm.

[0028] When the number of target acoustic signal segments in the same area reaches the set threshold, the second intrusion alarm information is generated by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and the second intrusion alarm information is output to perform a level 2 intrusion alarm.

[0029] In one possible design, the method further includes:

[0030] The sampling time of the acoustic wave monitoring signal of each target acoustic wave signal segment in the same area is determined, and the fiber optic numbers of each target acoustic wave signal segment in the same area are arranged according to the sampling time of the acoustic wave monitoring signal, so as to obtain the intrusion fiber optic number queue in the same area.

[0031] When the fiber numbers in the same area intrusion fiber number queue are arranged from low to high, the direction of the anomaly is determined to be the first direction; when the fiber numbers in the same area intrusion fiber number queue are arranged from high to low, the direction of the anomaly is determined to be the second direction.

[0032] The determined direction of the abnormal movement will be incorporated into either the first or second intrusion alarm information.

[0033] Secondly, a three-dimensional border protection monitoring system is provided, comprising a signal acquisition unit, an anomaly interception unit, an intrusion detection unit, a target determination unit, a traversal matching unit, a quantity determination unit, and an intrusion alarm unit, wherein:

[0034] The signal acquisition unit is used to acquire the acoustic wave monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic wave monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number.

[0035] The abnormal interception unit is used to intercept abnormal acoustic wave signal segments from the corresponding acoustic wave monitoring signal and determine the fiber optic segment number corresponding to the abnormal acoustic wave signal segment.

[0036] The intrusion detection unit is used to extract the spectral features of each abnormal acoustic signal segment and input the spectral features into a preset intrusion detection model for intrusion detection, thereby obtaining the intrusion detection results of the corresponding abnormal acoustic signal segment.

[0037] The target determination unit is used to identify the abnormal acoustic signal segment that the intrusion detection result indicates an intrusion as the target acoustic signal segment, and associate the target acoustic signal segment with the corresponding fiber optic number and fiber optic segment number.

[0038] The traversal matching unit is used to perform traversal matching of each target acoustic signal segment in the same region based on the fiber number and fiber segment number of each target acoustic signal segment, and to determine whether there are target acoustic signal segments in the same region.

[0039] The quantity determination unit is used to determine the quantity of target acoustic signal segments in the same area when it is determined that there are target acoustic signal segments in the same area.

[0040] The intrusion alarm unit is used to trigger an intrusion alarm based on the number of target acoustic signal segments in the same area and the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area.

[0041] Thirdly, a three-dimensional border protection and monitoring system is provided, including:

[0042] Memory, used to store instructions;

[0043] A processor is configured to read instructions stored in the memory and execute the method described in any one of the first aspects above, according to the instructions.

[0044] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any of the methods described in the first aspect. A computer program product is also provided, which, when executed on a computer, performs any of the methods described in the first aspect.

[0045] Beneficial Effects: This invention extracts and analyzes abnormal signal segments and intrusion detection by sampling acoustic monitoring signals from various optical fibers deployed in a three-dimensional manner to identify target acoustic signal segments. Then, based on the fiber optic number and fiber segment number of each target acoustic signal segment, it performs matching within the same area. Finally, based on the number of matched target acoustic signal segments in the same area, the fiber optic number, and the fiber segment number, an intrusion alarm is triggered, achieving efficient and accurate three-dimensional border protection monitoring. This invention, through three-dimensional optical fiber monitoring signal acquisition and intelligent signal processing and analysis, enables long-distance, low-latency, and continuous coverage border intrusion protection monitoring, providing rapid and accurate border intrusion early warning, reducing missed and false alarms, and improving the reliability of border protection monitoring. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a schematic diagram of the steps in the method of Embodiment 1 of the present invention;

[0048] Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention;

[0049] Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0050] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0051] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0052] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0053] Example 1:

[0054] This embodiment provides a three-dimensional border protection monitoring method, which can be applied to corresponding monitoring terminals, such as... Figure 1 As shown, the method includes the following steps:

[0055] S1. Obtain the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number.

[0056] In practice, several optical fibers (e.g., three parallel optical fibers spaced 0.5-2 meters apart) can be pre-laid on the ground and fence of the monitored border area. These fibers are parallel and spaced apart, not on the same plane. For example, two optical fibers can be laid parallel on the ground, and one fiber can be laid perpendicular to the ground on the fence, parallel to the two on the ground, forming a three-dimensional protective monitoring system. Each optical fiber is connected to a distributed optical fiber monitoring host. When an intrusion occurs at a point on the fiber, some characteristics of the transmitted light in the fiber will change. The photoelectric detection module of the distributed optical fiber monitoring host collects the light signal, determines the Rayleigh scattering back light generated by the fiber vibration signal, and thus detects the signal wave corresponding to the intrusion location. The acoustic monitoring signal can then be reconstructed based on the amplitude of this signal wave.

[0057] Each optical fiber is assigned a corresponding fiber number, and each fiber is further divided into several fiber segments, each with its own segment number. Assuming each fiber is 50km long and has a precision of 4 meters, this equates to each fiber being divided into 12,500 segments, numbered from 1 to 12,500, starting from the initial segment. The distributed optical fiber monitoring host can simultaneously listen to the acoustic monitoring signals from each fiber and sample and output them. The monitoring terminal can acquire the acoustic monitoring signals from each fiber detected by the distributed optical fiber monitoring host at each consecutive sampling time point within the current sampling period.

[0058] S2. Extract the abnormal acoustic wave signal segment from the corresponding acoustic wave monitoring signal and determine the fiber optic segment number corresponding to the abnormal acoustic wave signal segment.

[0059] In practice, the monitoring terminal extracts the acoustic signal segments whose amplitude reaches a set amplitude condition from the acoustic monitoring signal as abnormal acoustic signal segments. Then, it determines the location information of the abnormal acoustic signal segments within the acoustic monitoring signal and maps this location information to the corresponding fiber optic number. It then determines the fiber segment to which the location information belongs and the corresponding fiber segment number, and associates the fiber segment number with the corresponding abnormal acoustic signal segment.

[0060] S3. Extract the spectral features of each abnormal acoustic signal segment, and input the spectral features into the preset intrusion detection model for intrusion detection to obtain the intrusion detection results of the corresponding abnormal acoustic signal segment.

[0061] In practice, the monitoring terminal can convert abnormal acoustic signal segments into spectral information using Fast Fourier Transform (FFT) and construct a spectrogram based on this information. Then, spectral features are extracted from the spectrogram and input into a pre-set intrusion detection model for intrusion detection. This intrusion detection model employs a convolutional neural network trained on a training set, which includes several spectral feature samples labeled with intrusion tags and several spectral feature samples labeled with non-intrusion tags. The intrusion detection result output by the intrusion detection model for the corresponding abnormal acoustic signal segment corresponds to either intrusion or non-intrusion.

[0062] S4. Take the abnormal acoustic signal segment that the intrusion detection result indicates is an intrusion as the target acoustic signal segment, and associate the target acoustic signal segment with the corresponding fiber optic number and fiber optic segment number.

[0063] In practice, the monitoring terminal takes the abnormal acoustic signal segment that the intrusion detection result indicates as the target acoustic signal segment, and then determines the fiber segment number and the fiber number to which the target acoustic signal segment belongs.

[0064] S5. Based on the fiber optic number and fiber optic segment number of each target acoustic signal segment, perform a traversal and matching of the same region for each target acoustic signal segment to determine whether there are target acoustic signal segments in the same region.

[0065] In specific implementation, the monitoring terminal uses any target acoustic signal segment as a reference target acoustic signal segment, and merges all other target acoustic signal segments whose fiber optic numbers are different from those of the reference target acoustic signal segment into the target set. Then, based on the fiber optic segment number of the reference target acoustic signal segment and the fiber optic segment numbers of each target acoustic signal segment in the target set, it determines the target acoustic signal segments in the target set that are adjacent to the fiber optic segment of the reference target acoustic signal segment. This includes: subtracting the fiber optic segment number of the corresponding target acoustic signal segment in the target set from the fiber optic segment number of the reference target acoustic signal segment to obtain the number difference; if the absolute value of the number difference is less than or equal to a set difference threshold, then it is determined that the corresponding target acoustic signal segment in the target set is adjacent to the fiber optic segment of the reference target acoustic signal segment. For example, if the fiber optic segment number of the corresponding target acoustic signal segment b in the target set is 100, and the fiber optic segment number of the reference target acoustic signal segment a is 99, and the absolute value of the number difference between the two is 1, then it is determined that the corresponding target acoustic signal segment b in the target set is adjacent to the fiber optic segment of the reference target acoustic signal segment a. Finally, the reference target acoustic signal segment and the target acoustic signal segments in the target set that are adjacent to the optical fiber segment of the reference target acoustic signal segment are identified as target acoustic signal segments in the same region.

[0066] S6. When it is determined that there are target acoustic signal segments in the same area, determine the number of target acoustic signal segments in the same area.

[0067] In practice, when the monitoring terminal traverses and determines that there are target acoustic signal segments in the same area, it is necessary to determine the number of target acoustic signal segments in the same area.

[0068] S7. Intrusion alarm is triggered based on the number of target acoustic signal segments in the same area and the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area.

[0069] In practice, when the number of target acoustic signal segments in the same area does not reach the set threshold (e.g., the threshold is set to 3), the monitoring terminal generates a first intrusion alarm by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and outputs the first intrusion alarm for a level one intrusion alarm. When the number of target acoustic signal segments in the same area reaches the set threshold (e.g., the threshold is set to 3), a second intrusion alarm is generated by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and outputs the second intrusion alarm for a level two intrusion alarm.

[0070] Simultaneously, the monitoring terminal can also determine the sampling time of the acoustic monitoring signal of each target acoustic signal segment in the same area, and arrange the fiber optic numbers of each target acoustic signal segment in the same area according to the chronological order of their sampling times, thus obtaining a queue of intrusion fiber optic numbers in the same area. When the fiber optic numbers in the queue of intrusion fiber optic numbers 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 inside the fence to outside the fence). When the fiber optic numbers in the queue of intrusion fiber optic numbers 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 outside the fence to inside the fence). Finally, the determined direction of the abnormal movement is incorporated into the first intrusion alarm information or the second intrusion alarm information.

[0071] This method, through three-dimensional fiber optic monitoring signal acquisition and intelligent signal processing and analysis, can achieve long-distance, low-latency, and continuous coverage border intrusion protection monitoring, and provide rapid and accurate border intrusion early warning, reducing missed and false alarms and improving the reliability of border protection monitoring.

[0072] Example 2:

[0073] This embodiment provides a three-dimensional border protection monitoring system, such as... Figure 2 As shown, it includes a signal acquisition unit, an anomaly interception unit, an intrusion detection unit, a target determination unit, a traversal matching unit, a quantity determination unit, and an intrusion alarm unit, wherein:

[0074] The signal acquisition unit is used to acquire the acoustic wave monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic wave monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number.

[0075] The abnormal interception unit is used to intercept abnormal acoustic wave signal segments from the corresponding acoustic wave monitoring signal and determine the fiber optic segment number corresponding to the abnormal acoustic wave signal segment.

[0076] The intrusion detection unit is used to extract the spectral features of each abnormal acoustic signal segment and input the spectral features into a preset intrusion detection model for intrusion detection, thereby obtaining the intrusion detection results of the corresponding abnormal acoustic signal segment.

[0077] The target determination unit is used to identify the abnormal acoustic signal segment that the intrusion detection result indicates an intrusion as the target acoustic signal segment, and associate the target acoustic signal segment with the corresponding fiber optic number and fiber optic segment number.

[0078] The traversal matching unit is used to perform traversal matching of each target acoustic signal segment in the same region based on the fiber number and fiber segment number of each target acoustic signal segment, and to determine whether there are target acoustic signal segments in the same region.

[0079] The quantity determination unit is used to determine the quantity of target acoustic signal segments in the same area when it is determined that there are target acoustic signal segments in the same area.

[0080] The intrusion alarm unit is used to trigger an intrusion alarm based on the number of target acoustic signal segments in the same area and the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area.

[0081] Example 3:

[0082] This embodiment provides a three-dimensional border protection monitoring system, such as... Figure 3 As shown, at the hardware level, it includes:

[0083] The data interface is used to establish data communication between the processor and the distributed fiber optic listening host.

[0084] Memory, used to store instructions;

[0085] The processor is used to read the instructions stored in the memory and execute the three-dimensional border protection monitoring method in Embodiment 1 according to the instructions.

[0086] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This 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.

[0087] The memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out (FIFO) memory, and / or first-in-last-out (FILO) memory. 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.

[0088] Example 4:

[0089] This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the three-dimensional border protection monitoring method described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or memory sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0090] This embodiment also provides a computer program product that, when run on a computer, executes the three-dimensional border protection monitoring method described in Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0091] Finally, it should be noted that the above description is merely 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 should be included within the scope of protection of the present invention.

Claims

1. A three-dimensional border protection monitoring method, characterized in that, include: Acquire the acoustic monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number. Extracting abnormal acoustic wave signal segments from the corresponding acoustic wave monitoring signals and determining the fiber optic segment number corresponding to the abnormal acoustic wave signal segments includes: extracting acoustic wave signal segments in the acoustic wave monitoring signals whose amplitude reaches the set amplitude condition as abnormal acoustic wave signal segments; The location information of the abnormal acoustic signal segment in the acoustic monitoring signal is determined, and the location information is mapped to the optical fiber with the corresponding optical fiber number. The optical fiber segment to which the location information belongs in the corresponding optical fiber and the optical fiber segment number corresponding to the optical fiber segment are determined. The optical fiber segment number is associated with the corresponding abnormal acoustic signal segment. The optical fiber is divided into several optical fiber segments, and each optical fiber segment is assigned a corresponding optical fiber segment number. Extract the spectral features of each abnormal acoustic signal segment, and input the spectral features into a preset intrusion detection model for intrusion detection to obtain the intrusion detection results of the corresponding abnormal acoustic signal segment; The abnormal acoustic signal segment that the intrusion detection result indicates is the target acoustic signal segment, and the target acoustic signal segment is associated with the corresponding fiber optic number and fiber optic segment number. Based on the fiber number and fiber segment number of each target acoustic signal segment, perform a traversal and matching of the same region for each target acoustic signal segment to determine whether there are target acoustic signal segments in the same region. When it is determined that there are target acoustic signal segments in the same area, the number of target acoustic signal segments in the same area is determined. Intrusion alarms are triggered based on the number of target acoustic signal segments in the same area, as well as the fiber optic cable number and fiber optic segment number of each target acoustic signal segment in the same area.

2. The three-dimensional border protection monitoring method according to claim 1, characterized in that, The step of extracting the spectral features of each abnormal acoustic signal segment and inputting these spectral features into a preset intrusion detection model for intrusion detection includes: The abnormal acoustic signal segment is converted into spectral information by fast Fourier transform, and a spectrum diagram is constructed based on the spectral information; Spectral features are 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 on a training set, which contains several spectral feature samples labeled with intrusion tags and several spectral feature samples labeled with non-intrusion tags.

3. The three-dimensional border protection monitoring method according to claim 1, characterized in that, The step of performing a region-wide traversal matching of each target acoustic signal segment based on the fiber optic number and fiber segment number to determine whether there are target acoustic signal segments in the same region includes: Any target acoustic signal segment is used as a reference target acoustic signal segment, and all other target acoustic signal segments whose fiber numbers are different from those of the reference target acoustic signal segment are merged into the target set. Based on the fiber segment number of the reference target acoustic signal segment and the fiber segment number of each target acoustic signal segment in the target set, the target acoustic signal segments in the target set that are adjacent to the fiber segment of the reference target acoustic signal segment are determined. The acoustic signal segment of the reference target and the target acoustic signal segment in the target set that is adjacent to the optical fiber segment of the reference target acoustic signal segment are identified as target acoustic signal segments in the same region.

4. The three-dimensional border protection monitoring method according to claim 3, characterized in that, The determination of target acoustic signal segments in the target set that are adjacent to the fiber optic segment of the reference target acoustic signal segment, based on the fiber optic segment number of the reference target acoustic signal segment and the fiber optic segment number of each target acoustic signal segment in the target set, includes: Subtract the fiber segment number of the target acoustic signal segment in the target set from the fiber segment number of the reference target acoustic signal segment to obtain the number difference. If the absolute value of the difference in the number is less than or equal to the set difference threshold, then the corresponding target acoustic signal segment in the target set is determined to be adjacent to the fiber segment of the reference target acoustic signal segment.

5. The three-dimensional border protection monitoring method according to claim 1, characterized in that, The intrusion alarm is based on the number of all target acoustic signal segments in the same area, as well as the fiber optic cable number and fiber optic segment number of each target acoustic signal segment in the same area, including: When the number of target acoustic signal segments in the same area does not reach the set threshold, the first intrusion alarm information is generated by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and the first intrusion alarm information is output to perform a first-level intrusion alarm. When the number of target acoustic signal segments in the same area reaches the set threshold, the second intrusion alarm information is generated by combining the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area, and the second intrusion alarm information is output to perform a level 2 intrusion alarm.

6. The three-dimensional border protection monitoring method according to claim 5, characterized in that, The method further includes: The sampling time of the acoustic wave monitoring signal of each target acoustic wave signal segment in the same area is determined, and the fiber optic numbers of each target acoustic wave signal segment in the same area are arranged according to the sampling time of the acoustic wave monitoring signal, so as to obtain the intrusion fiber optic number queue in the same area. When the fiber numbers in the same area intrusion fiber number queue are arranged from low to high, the direction of the anomaly is determined to be the first direction; when the fiber numbers in the same area intrusion fiber number queue are arranged from high to low, the direction of the anomaly is determined to be the second direction. The determined direction of the abnormal movement will be incorporated into either the first or second intrusion alarm information.

7. A three-dimensional border protection monitoring system, characterized in that, It includes a signal acquisition unit, an anomaly interception unit, an intrusion detection unit, a target determination unit, a traversal matching unit, a quantity determination unit, and an intrusion alarm unit, wherein: The signal acquisition unit is used to acquire the acoustic wave monitoring signals of each optical fiber detected by the distributed optical fiber listening host during the current sampling time period, and associate each acoustic wave monitoring signal with the corresponding optical fiber number. The optical fibers are arranged in parallel and spaced apart and are not on the same plane. Each optical fiber is assigned a corresponding optical fiber number. An anomaly interception unit is used to intercept an abnormal acoustic signal segment from the corresponding acoustic monitoring signal and determine the fiber segment number corresponding to the abnormal acoustic signal segment. This includes: intercepting an acoustic signal segment in the acoustic monitoring signal whose amplitude reaches a set amplitude condition as an abnormal acoustic signal segment; determining the position information of the abnormal acoustic signal segment in the acoustic monitoring signal and mapping the position information to the fiber with the corresponding fiber number; determining the fiber segment to which the position information belongs in the corresponding fiber and the fiber segment number corresponding to that fiber segment; associating the fiber segment number with the corresponding abnormal acoustic signal segment; wherein the fiber is divided into several fiber segments, and each fiber segment has a corresponding fiber segment number. The intrusion detection unit is used to extract the spectral features of each abnormal acoustic signal segment and input the spectral features into a preset intrusion detection model for intrusion detection, thereby obtaining the intrusion detection results of the corresponding abnormal acoustic signal segment. The target determination unit is used to identify the abnormal acoustic signal segment that the intrusion detection result indicates an intrusion as the target acoustic signal segment, and associate the target acoustic signal segment with the corresponding fiber optic number and fiber optic segment number. The traversal matching unit is used to perform traversal matching of each target acoustic signal segment in the same region based on the fiber number and fiber segment number of each target acoustic signal segment, and to determine whether there are target acoustic signal segments in the same region. The quantity determination unit is used to determine the quantity of target acoustic signal segments in the same area when it is determined that there are target acoustic signal segments in the same area. The intrusion alarm unit is used to trigger an intrusion alarm based on the number of target acoustic signal segments in the same area and the fiber optic number and fiber optic segment number of each target acoustic signal segment in the same area.

8. A three-dimensional border protection monitoring system, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the three-dimensional border protection monitoring method according to any one of claims 1-6.

9. A computer program product, characterized in that, When the computer program product is run on a computer, it executes the three-dimensional border protection monitoring method according to any one of claims 1-6.

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