Grating array perimeter intrusion recognition method, system, device and storage medium

Abstract

The application discloses a grating array perimeter intrusion identification method, system, device and storage medium. The method can improve the pertinence of monitoring and reduce the difficulty of data processing by dividing the area to be monitored into multiple protection zones. The number of interference signals in the protection zone is determined by calculating the intensity of the vibration signal in each protection zone and comparing it with the preset vibration signal threshold. The data size between the number of interference signals and the preset interference number threshold is compared to determine whether there is an intrusion behavior in each protection zone, greatly improving the efficiency of intrusion behavior identification. Finally, the dynamic preset vibration signal threshold corresponding to the wind and rain interference level is obtained by adjusting the preset vibration signal threshold when there is wind and rain interference, and then the number of interference signals under the wind and rain interference state can be adaptively corrected, thereby effectively improving the accuracy of intrusion identification.

Description

Technical Field

[0001] This invention relates to the field of fiber optic sensing technology for grating arrays, and in particular to a method, system, device, and storage medium for perimeter intrusion identification using grating arrays. Background Technology

[0002] Traditional perimeter intrusion monitoring systems typically employ infrared and microwave sensing technologies. However, these technologies are susceptible to interference from adverse weather conditions and environmental noise. With the development of fiber optic sensing technology, an increasing number of fiber optic-based products are being applied in the perimeter security field. Fiber optic sensing technology uses light waves as the carrier and optical fibers as the medium. It senses and transmits the measured signal by monitoring the influence of external environmental factors on parameters such as the intensity, phase, and wavelength of the light waves propagating in the fiber. After years of development, fiber optic sensing technology mainly includes fiber Bragg grating (FBG) technology and backscattering reflectometer (OTDR) technology. FBG gratings have strong time-division multiplexing and wavelength-division multiplexing capabilities, allowing multiplexing of multiple channels in an optical channel. This means that hundreds or even thousands of FBG sensors can be distributed on a single single-mode fiber, enabling long-distance quasi-distributed perimeter intrusion monitoring. Furthermore, grating array sensors possess strong resistance to electromagnetic interference and corrosion, and their simple structure facilitates installation and deployment, leading to their widespread application in perimeter intrusion monitoring systems.

[0003] However, existing grating array alarm solutions have limited ability to identify wind and rain conditions, resulting in a large number of false alarms in windy and rainy weather. In addition, even if the wind and rain conditions are correctly identified, there is still a problem with the low accuracy of human intrusion alarms in windy and rainy conditions.

[0004] Therefore, existing technologies suffer from low intrusion detection accuracy during perimeter intrusion detection using grating arrays. Summary of the Invention

[0005] In view of this, it is necessary to provide a grating array perimeter intrusion identification method, system, device and storage medium to solve the problem of low intrusion identification accuracy in the existing technology of grating array perimeter intrusion identification.

[0006] To address the above problems, this invention provides a grating array perimeter intrusion detection method, comprising:

[0007] The area to be monitored is divided into multiple protection zones, and multiple vibration signals of the protection zones are obtained based on multiple grating sensing units in the protection zones.

[0008] Calculate the vibration signal characteristic parameters of multiple vibration signals within a preset time period, and count the number of interference signals whose vibration signal characteristic parameters are greater than the preset vibration signal threshold.

[0009] Intrusion detection is performed based on the relationship between the number of interfering signals and a preset interference threshold. When the number of interfering signals exceeds the preset interference threshold, it is determined that there is wind and rain interference; when the number of interfering signals is zero, it is determined that there is no disturbance; when the number of interfering signals is a non-zero value lower than the preset interference threshold, it is determined that there is an intrusion.

[0010] When wind and rain interference is detected, the preset vibration signal threshold is adjusted according to the preset wind and rain interference level to obtain a dynamic preset vibration signal threshold, and intrusion identification is re-performed based on the dynamic preset vibration signal threshold.

[0011] Each protected zone is equipped with a preset number of grating sensing units in an array;

[0012] Vibration signal characteristic parameters include peak-to-peak value and energy.

[0013] Furthermore, when wind and rain interference is detected, the preset vibration signal threshold is adjusted according to the preset wind and rain interference level to obtain a dynamic preset vibration signal threshold. Intrusion identification is then re-performed based on this dynamic preset vibration signal threshold, including:

[0014] When it is determined that there is wind and rain interference, the dynamic preset vibration signal threshold is obtained according to the calculation formula of the dynamic preset vibration signal threshold, the preset vibration signal threshold and the wind and rain interference level.

[0015] The number of dynamic interference signals in the monitored area is redetermined based on the dynamically preset vibration signal threshold.

[0016] Dynamic intrusion identification is performed based on the relationship between the number of dynamic interference signals and a preset interference threshold.

[0017] Specifically, when the number of dynamic interference signals is zero, it is determined that there is no disturbance; when the number of dynamic interference signals is lower than the preset interference number threshold, it is determined that there is an intrusion; when the number of dynamic interference signals reaches the preset interference number threshold, the wind and rain interference level is reassessed.

[0018] Furthermore, the formula for calculating the dynamically preset vibration signal threshold is as follows:

[0019]

[0020] Where X1 is the dynamically preset vibration signal threshold, X0 is the preset vibration signal threshold, f is a constant representing the dynamic preset vibration signal threshold adjustment factor, m1 is the vibration signal characteristic parameter when there is no wind or rain interference, and m2 is the vibration signal characteristic parameter corresponding to the wind and rain interference level.

[0021] Furthermore, intrusion identification is performed based on the relationship between the number of interfering signals and a preset threshold for the number of interfering signals, and this process also includes:

[0022] Set the signal slope threshold;

[0023] The real-time signal slope of the vibration signal in the area to be monitored is obtained, and intrusion identification is performed based on the real-time signal slope and the signal slope threshold.

[0024] Furthermore, setting the signal slope threshold includes:

[0025] Acquire vibration signals from intrusion sample points when there is no wind or rain interference and intrusion is present;

[0026] Acquire vibration signals from sampling points of samples affected by wind and rain but without intrusion.

[0027] The signal slopes of the vibration signals at the sample sampling points and the vibration signals at the sample sampling points affected by wind and rain interference are calculated using the Hilbert function, respectively. The slopes of the intrusion signal and the wind and rain interference signal are obtained accordingly, and the signal slope threshold is determined based on the slopes of the intrusion signal and the wind and rain interference signal.

[0028] Furthermore, intrusion identification is performed based on the real-time signal slope and the signal slope threshold, including:

[0029] When the real-time signal slope is less than the signal slope threshold, it is determined that there is wind and rain interference.

[0030] An intrusion is determined to exist when the real-time signal slope is greater than the signal slope threshold.

[0031] Furthermore, intrusion identification is performed based on the relationship between the number of interfering signals and a preset threshold for the number of interfering signals, and this process also includes:

[0032] An alarm signal is issued when an intrusion is detected.

[0033] When wind and rain interference is detected, a warning signal is issued.

[0034] To address the aforementioned problems, the present invention also provides a grating array perimeter intrusion detection system, comprising:

[0035] The vibration signal acquisition module is used to divide the area to be monitored into multiple protection zones, and acquire multiple vibration signals of the protection zones based on multiple grating sensing units in the protection zones.

[0036] The interference signal count module is used to calculate the vibration signal characteristic parameters of multiple vibration signals within a preset time period, and count the number of interference signals whose vibration signal characteristic parameters are greater than a preset vibration signal threshold.

[0037] The intrusion detection module is used to detect intrusions based on the relationship between the number of interference signals and a preset interference threshold. When the number of interference signals reaches the preset interference threshold, it is determined that there is wind and rain interference; when the number of interference signals is zero, it is determined that there is no disturbance; when the number of interference signals is a non-zero value lower than the preset interference threshold, it is determined that there is an intrusion.

[0038] The dynamic intrusion identification module is used to adjust the preset vibration signal threshold according to the preset wind and rain interference level when it is determined that there is wind and rain interference, to obtain a dynamic preset vibration signal threshold, and to re-identify the intrusion based on the dynamic preset vibration signal threshold.

[0039] Each protected zone is equipped with a preset number of grating sensing units in an array;

[0040] Vibration signal characteristic parameters include peak-to-peak value and energy.

[0041] To address the aforementioned issues, the present invention also provides a grating array perimeter intrusion identification device, comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the grating array perimeter intrusion identification method described above.

[0042] To address the aforementioned problems, the present invention also provides a storage medium storing computer program instructions, which, when executed by a computer, cause the computer to perform the grating array perimeter intrusion identification method described above.

[0043] The beneficial effects of the above embodiments are as follows: This invention provides a grating array perimeter intrusion identification method, system, device, and storage medium. This method divides the area to be monitored into multiple protection zones, improving the targeting of monitoring and reducing the difficulty of data processing. Specifically, it calculates the intensity of vibration signals in each protection zone and compares it with a pre-set vibration signal threshold to determine the number of interference signals in the protection zone. Furthermore, it determines whether intrusion behavior exists in each protection zone by comparing the data size between the number of interference signals and a preset interference number threshold, greatly improving the efficiency of intrusion behavior identification. Finally, to improve the accuracy of intrusion identification under wind and rain interference conditions, a dynamic preset vibration signal threshold corresponding to the wind and rain interference level is obtained by adjusting the preset vibration signal threshold under wind and rain interference conditions. This adaptively corrects the number of interference signals under wind and rain interference conditions, thereby effectively improving the accuracy of intrusion identification. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating an embodiment of the grating array perimeter intrusion identification method provided by the present invention.

[0045] Figure 2 This is a flowchart illustrating an embodiment of intrusion identification based on the slope of a vibration signal provided by the present invention.

[0046] Figure 3 This is a flowchart illustrating an embodiment of the present invention for determining a signal slope threshold;

[0047] Figure 4 A schematic diagram illustrating the results of an embodiment of the peak envelope of a man-made intrusion signal provided by the present invention;

[0048] Figure 5 A schematic diagram showing the results of an embodiment of the peak envelope of the wind and rain interference signal provided by the present invention;

[0049] Figure 6 A flowchart illustrating an embodiment of the present invention for re-intrusion identification based on a dynamically preset vibration signal threshold;

[0050] Figure 7 This is a structural block diagram of an embodiment of the grating array perimeter intrusion detection system provided by the present invention;

[0051] Figure 8 This is a structural block diagram of an embodiment of the grating array perimeter intrusion identification device provided by the present invention. Detailed Implementation

[0052] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0053] Traditional perimeter intrusion monitoring systems typically employ infrared and microwave sensing technologies. However, these technologies are susceptible to interference from adverse weather conditions and environmental noise. With the development of fiber optic sensing technology, an increasing number of fiber optic-based products are being applied in the perimeter security field. Fiber optic sensing technology uses light waves as the carrier and optical fibers as the medium. It senses and transmits the measured signal by monitoring the influence of external environmental factors on parameters such as the intensity, phase, and wavelength of the light waves propagating in the fiber. After years of development, fiber optic sensing technology mainly includes fiber Bragg grating (FBG) technology and backscattering reflectometer (OTDR) technology. FBG gratings have strong time-division multiplexing and wavelength-division multiplexing capabilities, allowing multiplexing of multiple channels in an optical channel. This means that hundreds or even thousands of FBG sensors can be distributed on a single single-mode fiber, enabling long-distance quasi-distributed perimeter intrusion monitoring. Furthermore, grating array sensors possess strong resistance to electromagnetic interference and corrosion, and their simple structure facilitates installation and deployment, leading to their widespread application in perimeter intrusion monitoring systems.

[0054] However, existing grating array alarm solutions have limited ability to identify wind and rain conditions, resulting in a large number of false alarms in windy and rainy weather. In addition, even if the wind and rain conditions are correctly identified, there is still a problem with the low accuracy of human intrusion alarms in windy and rainy conditions.

[0055] Therefore, existing technologies suffer from low intrusion detection accuracy during perimeter intrusion detection using grating arrays.

[0056] To address the aforementioned problems, this invention provides a grating array perimeter intrusion identification method, system, device, and storage medium, which will be described in detail below.

[0057] Figure 1 This is a flowchart illustrating an embodiment of the grating array perimeter intrusion detection method provided by the present invention, as shown below. Figure 1 As shown, the grating array perimeter intrusion detection method includes:

[0058] Step S101: Divide the area to be monitored into multiple protection zones, and acquire multiple vibration signals of the protection zones based on the multiple grating sensing units of the protection zones;

[0059] Step S102: Calculate the vibration signal characteristic parameters of multiple vibration signals respectively, and count the number of interference signals whose vibration signal characteristic parameters are greater than the preset vibration signal threshold;

[0060] Step S103: Intrusion identification is performed based on the relationship between the number of interference signals and the preset interference number threshold. When the number of interference signals reaches the preset interference number threshold, it is determined that there is wind and rain interference; when the number of interference signals is zero, it is determined that there is no disturbance; when the number of interference signals is a non-zero value lower than the preset interference number threshold, it is determined that there is intrusion.

[0061] Step S104: When it is determined that there is wind and rain interference, the preset vibration signal threshold is adjusted according to the preset wind and rain interference level to obtain a dynamic preset vibration signal threshold, and intrusion identification is re-performed based on the dynamic preset vibration signal threshold.

[0062] Each protected zone is equipped with a preset number of grating sensing units in an array;

[0063] Vibration signal characteristic parameters include peak-to-peak value and energy.

[0064] In this embodiment, firstly, the area to be monitored is divided into multiple protection zones, and multiple vibration signals of the protection zones are acquired based on multiple grating sensing units in each protection zone. Secondly, the vibration signal characteristic parameters of the multiple vibration signals are calculated, and the number of interference signals whose vibration signal characteristic parameters are greater than a preset vibration signal threshold is counted. Then, intrusion identification is performed based on the relationship between the number of interference signals and the preset interference number threshold. When the number of interference signals reaches the preset interference number threshold, it is determined that there is wind and rain interference. When the number of interference signals is zero, it is determined that there is no disturbance. When the number of interference signals is a non-zero value lower than the preset interference number threshold, it is determined that there is intrusion. Finally, when wind and rain interference is determined to exist, the preset vibration signal threshold is adjusted according to the preset wind and rain interference level to obtain a dynamic preset vibration signal threshold, and intrusion identification is performed again based on the dynamic preset vibration signal threshold.

[0065] In this embodiment, by dividing the area to be monitored into multiple protection zones, the targeting of monitoring can be improved, thereby reducing the difficulty of data processing. Specifically, the intensity of vibration signals in each protection zone is calculated and compared with a pre-set vibration signal threshold to determine the number of interference signals in the protection zone. Furthermore, by comparing the data size between the number of interference signals and the preset interference number threshold, it is determined whether there is intrusion behavior in each protection zone, which greatly improves the efficiency of intrusion behavior identification. Finally, in order to improve the accuracy of intrusion identification under wind and rain interference, the preset vibration signal threshold under wind and rain interference is adjusted to obtain a dynamic preset vibration signal threshold corresponding to the wind and rain interference level, which can adaptively correct the number of interference signals under wind and rain interference, thereby effectively improving the accuracy of intrusion identification.

[0066] In a preferred embodiment, in step S101, in order to simplify the data processing process, the area to be monitored is divided into multiple protection zones according to the size of the area, and multiple grating sensing units of the same preset number are arrayed in each protection zone, so as to ensure that the data processing standards of each protection zone are completely consistent in the subsequent data processing process and reduce the complexity of data processing.

[0067] In other embodiments, the area to be monitored can be divided into protection zones according to actual needs. It is only necessary to count the number of grating sensing units in each protection zone to facilitate subsequent data processing. The method of dividing the area to be monitored is not limited here.

[0068] In a preferred embodiment, in step S102, in order to ensure the reliability of the characteristic parameters of each vibration signal, the peak-to-peak value and energy of each vibration signal within a preset time period are calculated respectively, so as to avoid false alarms caused by instantaneous high-intensity vibration signals. Then, the relationship between the peak-to-peak value, energy and preset vibration signal threshold is compared to obtain the number of interference signals in each protection zone.

[0069] The preset time period is preferably 1 second, that is, the peak-to-peak value and energy of the vibration signal within 1 second are calculated as the vibration signal characteristic parameters corresponding to the grating sensing unit.

[0070] In other embodiments, the length of the preset time period can be adjusted according to actual needs, with data accuracy as the primary criterion, and the time length should not be too long to avoid affecting the efficiency of intrusion identification.

[0071] In one specific embodiment, in order to calculate the peak-to-peak value of the vibration signal, the difference between the maximum and minimum values ​​of the 3s differential signal is taken and recorded as the "peak-to-peak value" of the vibration signal; in order to calculate the energy of the vibration signal, the squares of the values ​​of all points of the 3s differential signal are summed and recorded as the "energy" of the vibration signal.

[0072] In a preferred embodiment, in step S103, in order to ensure the reliability of the preset interference number threshold, on the one hand, it is possible to accurately identify intrusion behavior, and on the other hand, it is necessary to avoid misidentifying wind and rain interference as intrusion behavior. Therefore, firstly, it is necessary to limit the number of grating sensing units in each protection zone to avoid the problem of difficulty in distinguishing between intrusion behavior and wind and rain interference due to insufficient number; then, a certain proportion of the total number of grating sensing units in the entire protection zone is set as the dividing line for judging intrusion behavior and wind and rain interference.

[0073] In one specific embodiment, the total number of grating sensing units in each protected area is preferably 30 to 50. It should be noted that, generally, the spacing between adjacent grating sensing units is 5 meters, so the area of ​​a protected area should preferably be controlled within 1000 square meters. Furthermore, the preset interference number threshold is preferably 15% to 20% of the total number of grating sensing units in the protected area. So, for a protected area with 30 grating sensing units, the preset interference number threshold is preferably set to 5, and for a protected area with 50 grating sensing units, the preset interference number threshold is preferably set to 8.

[0074] In other embodiments, the spacing between adjacent grating sensing units can be other values, and the total number of grating sensing units in each protection zone can be adaptively set according to other standards. Correspondingly, the preset interference number threshold can also be set to other values, which are not limited here.

[0075] Furthermore, after performing intrusion identification based on the relationship between the number of interference signals and a preset threshold for the number of interference signals, to ensure the reliability of the intrusion identification results, the results are further verified based on the slope of the vibration signal, such as... Figure 2 As shown, Figure 2 A flowchart illustrating an embodiment of intrusion identification based on the slope of a vibration signal provided by the present invention includes:

[0076] Step S131: Set the signal slope threshold;

[0077] Step S132: Obtain the real-time signal slope of the real-time vibration signal in the area to be monitored, and perform intrusion identification based on the real-time signal slope and the signal slope threshold.

[0078] In a preferred embodiment, in step S131, in order to determine the signal slope threshold, such as... Figure 3 As shown, Figure 3 A flowchart illustrating an embodiment of the present invention for determining a signal slope threshold includes:

[0079] Step 1311: Obtain the vibration signal of the intrusion sample sampling point when there is no wind or rain interference and intrusion occurs;

[0080] Step 1312: Obtain the vibration signal of the wind and rain interference sample point when there is wind and rain interference but no intrusion;

[0081] Step 1313: Calculate the signal slopes of the vibration signal at the sample sampling point and the vibration signal at the sample sampling point affected by wind and rain interference according to the Hilbert function. Obtain the slope of the intrusion signal and the slope of the wind and rain interference signal accordingly. Determine the signal slope threshold based on the slope of the intrusion signal and the slope of the wind and rain interference signal.

[0082] In this embodiment, firstly, the vibration signal of the intrusion sample sampling point when there is no wind and rain interference and there is intrusion is obtained; then, the vibration signal of the wind and rain interference sample sampling point when there is wind and rain interference and there is no intrusion is obtained; finally, the signal slope of the sample sampling point vibration signal and the wind and rain interference sample sampling point vibration signal are calculated according to the Hilbert function, respectively, and the intrusion signal slope and the wind and rain interference signal slope are obtained accordingly, and the signal slope threshold is determined according to the intrusion signal slope and the wind and rain interference signal slope.

[0083] In this embodiment, by calculating the signal slope of the vibration signal when there is no wind and rain interference and there is intrusion, and by calculating the signal slope of the vibration signal when there is wind and rain interference and there is no intrusion, the deviation of the vibration signal slope caused by wind and rain interference is obtained. Then, the intermediate value between the intrusion signal slope and the wind and rain interference signal slope is determined as the signal slope threshold. This enables a secondary judgment of intrusion behavior in the subsequent data processing process, thereby improving the accuracy of intrusion identification.

[0084] In one specific embodiment, the peak envelope vector of the differential signal of the man-made intrusion signal and the wind and rain interference signal for 5 seconds (5000 sampling points) is calculated according to the Hilbert function, and then the maximum and minimum values ​​of the envelope vector are taken to calculate the signal slope.

[0085] like Figure 4 As shown, Figure 4 This is a schematic diagram illustrating an embodiment of the peak envelope of a man-made intrusion signal provided by the present invention. The two points marked in the diagram represent the maximum and minimum values ​​of the envelope signal, respectively, and the slope of the intrusion signal is:

[0086]

[0087] Where slope1 is the slope of the intrusion signal, ΔY1 is the difference in the vertical coordinates of the two points marked in the figure, and ΔX1 is the difference in the horizontal coordinates of the two points marked in the figure.

[0088] like Figure 5 As shown, Figure 5 This is a schematic diagram illustrating an embodiment of the peak envelope of a wind and rain interference signal provided by the present invention. The two points marked in the diagram represent the maximum and minimum values ​​of the envelope signal, respectively. The slope of the wind and rain interference signal is:

[0089]

[0090] Where slope2 is the slope of the wind and rain interference signal, ΔY2 is the difference in the vertical coordinates of the two points marked in the figure, and ΔX2 is the difference in the horizontal coordinates of the two points marked in the figure.

[0091] Based on the calculation results above, the signal slope threshold is determined to be 0.2.

[0092] In other embodiments, the average of the intrusion signal slope and the wind and rain interference signal slope can also be taken as the signal slope threshold, which is not limited here.

[0093] In a preferred embodiment, step S132 involves intrusion identification based on the real-time signal slope and a signal slope threshold, including:

[0094] When the real-time signal slope is less than the signal slope threshold, it is determined that there is wind and rain interference.

[0095] An intrusion is determined to exist when the real-time signal slope is greater than the signal slope threshold.

[0096] In other words, in this embodiment, the real-time signal slope of the real-time vibration signal is compared with the signal slope threshold as the dividing line to determine whether the real-time vibration signal corresponds to the intrusion behavior.

[0097] In a preferred embodiment, in step S104, to adjust the preset vibration signal threshold according to the preset wind and rain interference level when wind and rain interference is detected, a dynamic preset vibration signal threshold is obtained, and intrusion identification is re-performed based on the dynamic preset vibration signal threshold, such as... Figure 6 As shown, Figure 6 A flowchart illustrating an embodiment of the present invention for re-intrusion identification based on a dynamically preset vibration signal threshold includes:

[0098] Step S141: When it is determined that there is wind and rain interference, the dynamic preset vibration signal threshold is obtained according to the dynamic preset vibration signal threshold calculation formula, the preset vibration signal threshold and the wind and rain interference level.

[0099] Step S142: Redetermine the number of dynamic interference signals in the area to be monitored based on the dynamically preset vibration signal threshold;

[0100] Step S143: Perform dynamic intrusion identification based on the relationship between the number of dynamic interference signals and the preset interference threshold. When the number of dynamic interference signals is zero, it is determined that there is no disturbance. When the number of dynamic interference signals is lower than the preset interference threshold, it is determined that there is an intrusion. When the number of dynamic interference signals reaches the preset interference threshold, the wind and rain interference level is re-determined.

[0101] In this embodiment, firstly, when wind and rain interference is determined to exist, a dynamic preset vibration signal threshold is obtained based on the dynamic preset vibration signal threshold calculation formula, the preset vibration signal threshold, and the wind and rain interference level. Then, the number of dynamic interference signals in the monitored area is re-determined based on the dynamic preset vibration signal threshold. Finally, dynamic intrusion identification is performed based on the relationship between the number of dynamic interference signals and the preset interference number threshold. Specifically, when the number of dynamic interference signals is zero, it is determined that there is no disturbance; when the number of dynamic interference signals is lower than the preset interference number threshold, it is determined that there is an intrusion; when the number of dynamic interference signals reaches the preset interference number threshold, the wind and rain interference level is re-determined.

[0102] In a preferred embodiment, the formula for calculating the dynamically preset vibration signal threshold in step S141 is as follows:

[0103]

[0104] Where X1 is the dynamically preset vibration signal threshold, X0 is the preset vibration signal threshold, f is a constant representing the dynamic preset vibration signal threshold adjustment factor, m1 is the vibration signal characteristic parameter when there is no wind or rain interference, and m2 is the vibration signal characteristic parameter corresponding to the wind and rain interference level.

[0105] In this embodiment, targeted processing is performed for situations with wind and rain interference. Specifically, a dynamic preset vibration signal threshold corresponding to the wind and rain interference level is determined based on the preset vibration signal threshold under normal conditions and the preset wind and rain interference level. This allows the dynamic preset vibration signal threshold to be used as the standard in subsequent data comparisons to determine the number of interference signals corresponding to the vibration signal in the presence of wind and rain interference. This effectively adapts to situations with wind and rain interference, improves the accuracy of the number of interference signals obtained, and thus improves the accuracy of intrusion identification.

[0106] It should be noted that the preset wind and rain interference levels are divided according to the intensity of the vibration signal. The specific division method can be adjusted adaptively according to the actual situation. The number of levels and threshold limits are not limited here.

[0107] As a preferred embodiment, after intrusion detection, in order to promptly alert staff, an alarm signal is issued when an intrusion is detected, and a warning signal is issued when wind and rain interference is detected.

[0108] In this embodiment, by providing differentiated reminders for different situations, staff can take appropriate protective measures in a timely manner.

[0109] The alarm signal includes at least the number of the grating sensor unit where the intrusion occurred, the zone number, and the alarm start time; the prompt signal includes a voice signal or a light signal indicating a change in weather.

[0110] Furthermore, to ensure that the alert is delivered effectively, after the alarm signal is issued, the system acquires the surveillance video of the protected area where the intrusion occurred and sends the video to a preset location.

[0111] The preset location can be a designated email address, a designated device, or it can be directly projected onto the staff's computer. There are no restrictions on the notification method.

[0112] By dividing the monitored area into multiple protection zones, the monitoring targeting can be improved, thereby reducing the difficulty of data processing. Specifically, the intensity of vibration signals in each protection zone is calculated and compared with a pre-set vibration signal threshold to determine the number of interference signals in the protection zone. Furthermore, by comparing the data size between the number of interference signals and the preset interference threshold, it can be determined whether there is intrusion behavior in each protection zone, which greatly improves the efficiency of intrusion behavior identification. Finally, in order to improve the accuracy of intrusion identification under wind and rain interference, the preset vibration signal threshold under wind and rain interference is adjusted to obtain a dynamic preset vibration signal threshold corresponding to the wind and rain interference level. This allows for adaptive correction of the number of interference signals under wind and rain interference, thereby effectively improving the accuracy of intrusion identification.

[0113] To address the aforementioned problems, the present invention also provides a grating array perimeter intrusion detection system, such as... Figure 7 As shown, Figure 7 This is a structural block diagram of an embodiment of the grating array perimeter intrusion detection system provided by the present invention. The grating array perimeter intrusion detection system 700 includes:

[0114] The vibration signal acquisition module 701 is used to divide the area to be monitored into multiple protection zones, and acquire multiple vibration signals of the protection zones based on multiple grating sensing units in the protection zones.

[0115] The interference signal counting module 702 is used to calculate the vibration signal characteristic parameters of multiple vibration signals respectively, and count the number of interference signals whose vibration signal characteristic parameters are greater than the preset vibration signal threshold.

[0116] The intrusion detection module 703 is used to perform intrusion detection based on the relationship between the number of interference signals and a preset interference number threshold. When the number of interference signals reaches the preset interference number threshold, it is determined that there is wind and rain interference; when the number of interference signals is zero, it is determined that there is no disturbance; when the number of interference signals is a non-zero value lower than the preset interference number threshold, it is determined that there is intrusion.

[0117] The dynamic intrusion identification module 704 is used to adjust the preset vibration signal threshold according to the preset wind and rain interference level when it is determined that there is wind and rain interference, to obtain a dynamic preset vibration signal threshold, and to re-identify the intrusion based on the dynamic preset vibration signal threshold.

[0118] Each protected zone is equipped with a preset number of grating sensing units in an array;

[0119] Vibration signal characteristic parameters include peak-to-peak value and energy.

[0120] The present invention also provides a grating array perimeter intrusion detection device, such as... Figure 8 As shown, Figure 8 This is a structural block diagram of an embodiment of the grating array perimeter intrusion detection device provided by the present invention. The grating array perimeter intrusion detection device 800 can be a computing device such as a mobile terminal, desktop computer, laptop, handheld computer, and server. The grating array perimeter intrusion detection device 800 includes a processor 801 and a memory 802, wherein the memory 802 stores a grating array perimeter intrusion detection program 803.

[0121] In some embodiments, memory 802 may be an internal storage unit of a computer device, such as a hard disk or memory. In other embodiments, memory 802 may be an external storage device of a computer device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc. Further, memory 802 may include both internal and external storage units of the computer device. Memory 802 is used to store application software and various types of data installed on the computer device, such as program code for installing the computer device. Memory 802 can also be used to temporarily store data that has been output or will be output. In one embodiment, the raster array perimeter intrusion detection program 803 may be executed by processor 801 to implement the raster array perimeter intrusion detection method of the various embodiments of the present invention.

[0122] In some embodiments, processor 801 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in memory 802 or process data, such as executing a grating array perimeter intrusion identification program.

[0123] This embodiment also provides a computer-readable storage medium storing a grating array perimeter intrusion identification program. When the program is executed by a computer processor, it implements the grating array perimeter intrusion identification method as described above.

[0124] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0125] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for perimeter intrusion detection using a grating array, characterized in that, include: The area to be monitored is divided into multiple protection zones, and multiple vibration signals of the protection zones are obtained based on multiple grating sensing units in the protection zones. Calculate the vibration signal characteristic parameters of the multiple vibration signals within a preset time period, and count the number of interference signals whose vibration signal characteristic parameters are greater than a preset vibration signal threshold. Intrusion identification is performed based on the relationship between the number of interference signals and a preset interference threshold. When the number of interference signals reaches the preset interference threshold, it is determined that there is wind and rain interference. When the number of interference signals is zero, it is determined that there is no disturbance. When the number of interference signals is a non-zero value lower than the preset interference number threshold, an intrusion is determined to exist; When wind and rain interference is detected, the preset vibration signal threshold is adjusted according to a preset wind and rain interference level to obtain a dynamic preset vibration signal threshold. Intrusion identification is then re-performed based on this dynamic preset vibration signal threshold, including: when wind and rain interference is detected, obtaining the dynamic preset vibration signal threshold according to the dynamic preset vibration signal threshold calculation formula, the preset vibration signal threshold, and the wind and rain interference level; redetermining the number of dynamic interference signals in the monitored area based on the dynamic preset vibration signal threshold; and performing dynamic intrusion identification based on the relationship between the number of dynamic interference signals and the preset interference number threshold. Specifically, when the number of dynamic interference signals is zero, it is determined that there is no disturbance; when the number of dynamic interference signals is lower than the preset interference number threshold, it is determined that an intrusion exists; when the number of dynamic interference signals reaches the preset interference number threshold, the wind and rain interference level is re-determined. The dynamic preset vibration signal threshold calculation formula is: in, The dynamic preset vibration signal threshold is set as follows: The preset vibration signal threshold, f The constant represents the dynamic preset vibration signal threshold adjustment factor. These are the characteristic parameters of the vibration signal when there is no wind or rain interference. These are the vibration signal characteristic parameters corresponding to the aforementioned wind and rain interference levels; Each of the protected areas is arrayed with a predetermined number of the plurality of grating sensing units; The characteristic parameters of the vibration signal include peak-to-peak value and energy.

2. The grating array perimeter intrusion identification method according to claim 1, characterized in that, The intrusion identification process, based on the relationship between the number of interference signals and a preset interference threshold, further includes: Set the signal slope threshold; The real-time signal slope of the vibration signal in the area to be monitored is obtained, and intrusion identification is performed based on the real-time signal slope and the signal slope threshold.

3. The grating array perimeter intrusion identification method according to claim 2, characterized in that, The setting of the signal slope threshold includes: Acquire vibration signals from intrusion sample points when there is no wind or rain interference and intrusion is present; Acquire vibration signals from sampling points of samples affected by wind and rain but without intrusion. The signal slopes of the vibration signals at the sample sampling points and the vibration signals at the wind and rain interference sample sampling points are calculated using the Hilbert function, respectively, to obtain the intrusion signal slope and the wind and rain interference signal slope. The signal slope threshold is then determined based on the intrusion signal slope and the wind and rain interference signal slope.

4. The grating array perimeter intrusion identification method according to claim 2, characterized in that, The intrusion identification based on the real-time signal slope and the signal slope threshold includes: When the real-time signal slope is less than the signal slope threshold, it is determined that there is wind and rain interference; When the slope of the real-time signal is greater than the signal slope threshold, an intrusion is determined to exist.

5. The grating array perimeter intrusion identification method according to claim 1, characterized in that, The intrusion identification process, based on the relationship between the number of interference signals and a preset interference threshold, further includes: An alarm signal is issued when an intrusion is detected. When wind and rain interference is detected, a warning signal is issued.

6. A grating array perimeter intrusion detection system, characterized in that, include: The vibration signal acquisition module is used to divide the area to be monitored into multiple protection zones, and acquire multiple vibration signals of the protection zones based on multiple grating sensing units of the protection zones. The interference signal count module is used to calculate the vibration signal characteristic parameters of the multiple vibration signals within a preset time period, and count the number of interference signals whose vibration signal characteristic parameters are greater than a preset vibration signal threshold. An intrusion detection module is used to perform intrusion detection based on the relationship between the number of interference signals and a preset interference number threshold. When the number of interference signals reaches the preset interference number threshold, it is determined that there is wind and rain interference. When the number of interference signals is zero, it is determined that there is no disturbance. When the number of interference signals is a non-zero value lower than the preset interference number threshold, an intrusion is determined to exist; A dynamic intrusion detection module is used to adjust a preset vibration signal threshold according to a preset wind and rain interference level when wind and rain interference is detected, to obtain a dynamic preset vibration signal threshold, and to re-perform intrusion detection based on the dynamic preset vibration signal threshold. This includes: when wind and rain interference is detected, obtaining a dynamic preset vibration signal threshold according to a dynamic preset vibration signal threshold calculation formula, a preset vibration signal threshold, and the wind and rain interference level; redetermining the number of dynamic interference signals in the monitored area based on the dynamic preset vibration signal threshold; and performing dynamic intrusion detection based on the relationship between the number of dynamic interference signals and a preset interference number threshold. Specifically, when the number of dynamic interference signals is zero, it is determined that there is no disturbance; when the number of dynamic interference signals is lower than the preset interference number threshold, it is determined that an intrusion exists; when the number of dynamic interference signals reaches the preset interference number threshold, the wind and rain interference level is re-determined. The dynamic preset vibration signal threshold calculation formula is: in, The dynamic preset vibration signal threshold is set as follows: The preset vibration signal threshold, f The constant represents the dynamic preset vibration signal threshold adjustment factor. These are the characteristic parameters of the vibration signal when there is no wind or rain interference. These are the vibration signal characteristic parameters corresponding to the aforementioned wind and rain interference levels; Each of the protected areas is arrayed with a predetermined number of the plurality of grating sensing units; The characteristic parameters of the vibration signal include peak-to-peak value and energy.

7. A grating array perimeter intrusion identification device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the steps of the grating array perimeter intrusion identification method as described in any one of claims 1-5.

8. A storage medium, characterized in that, The storage medium stores computer program instructions, which, when executed by a computer, cause the computer to perform the steps of the grating array perimeter intrusion identification method according to any one of claims 1 to 5.

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