Perimeter intrusion identification method and device, electronic equipment and storage medium

Abstract

The invention discloses a perimeter intrusion identification method and device, electronic equipment and a storage medium, and belongs to the technical field of optical fiber sensing, and the method comprises the steps: calculating a vibration characteristic value of a perimeter vibration signal in a time window according to a vibration amplitude and a vibration mean value, and determining a disturbance signal according to the vibration characteristic value; determining an intrusion signal according to the duration of the disturbance signal; determining an intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of signal peak values of the intrusion signal; and recognizing the perimeter intrusion mode according to the intrusion characteristic value and a preset intrusion mode threshold. According to the method, the intrusion signal is confirmed according to the vibration characteristic value of the vibration signal, the intrusion identification is performed according to the intrusion characteristic value of the intrusion signal, and the vibration signal is subjected to screening and judgment in a multi-level manner, so that the intrusion identification of the weak vibration signal is realized, and the accuracy and efficiency of perimeter intrusion identification are improved.

Description

Technical Field

[0001] The present invention relates to the field of optical fiber sensing technology, and in particular to a perimeter intrusion identification method, device, electronic equipment and storage medium. Background Art

[0002] With the continuous integration of technologies such as the Internet of Things, big data, and artificial intelligence, the intelligence level of the vibration optical cable perimeter security monitoring system will continue to improve. The vibration optical cable perimeter security monitoring system is an advanced perimeter protection technology that uses fiber optic sensing technology to monitor the security status of the perimeter area. It is widely used in military, airports, important facilities and other fields. In the future, the system is expected to play an important role in more fields and provide strong technical support for the construction of smart cities and smart industries.

[0003] Traditional vibration signal analysis methods include time domain analysis, frequency domain analysis, and statistical analysis. Although the time domain analysis method can intuitively display the waveform, amplitude and other characteristics of the vibration signal, it is difficult to reveal the frequency components in the signal, especially weak vibration signals, and the identification is inaccurate. Although the frequency domain analysis can clearly display the different frequency components and their corresponding intensities in the vibration signal, for non-stationary signals, the time domain information of the signal will be lost, resulting in inaccurate analysis results. Although the statistical analysis method can reveal the randomness and correlation of the vibration signal, it relies on a large number of data samples. When the data samples are limited, the results of the statistical analysis may not be accurate enough. Therefore, traditional vibration signal analysis methods are difficult to accurately capture the characteristics of gentle vibration signals, especially weak vibration signals generated by activities such as slow walking, resulting in a high false alarm rate when the system faces such low-intensity intrusion behaviors.

[0004] Therefore, there is an urgent need for a perimeter intrusion identification method that can improve the accuracy of identifying weak vibration signals by processing and calculating perimeter vibration signals. Summary of the invention

[0005] In view of this, it is necessary to provide a perimeter intrusion identification method, device, electronic device and storage medium, which can improve the accuracy of identifying weak vibration signals by processing and calculating perimeter vibration signals.

[0006] In order to solve the above technical problems, on the one hand, the present invention provides a perimeter intrusion identification method, comprising: Calculating a vibration characteristic value of a peripheral vibration signal within a time window according to the vibration amplitude and the vibration mean, and determining a disturbance signal according to the vibration characteristic value; Determine the intrusion signal according to the duration of the disturbance signal; determine the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak value of the intrusion signal; The perimeter intrusion mode is identified according to the intrusion feature value and a preset intrusion mode threshold.

[0007] In a possible implementation, the vibration characteristic value of the peripheral vibration signal within the time window is calculated according to the fluctuation amplitude and the signal mean value, including: Obtaining the initial vibration signal of the perimeter within the time window; Filtering and smoothing the initial vibration signal to generate a vibration signal; Calculating a signal mean of the vibration signal; A vibration characteristic value of the vibration signal is determined according to a signal mean value, a vibration amplitude and a signal length of the vibration signal.

[0008] In a possible implementation manner, determining a disturbance signal according to the vibration characteristic value includes: Determine a disturbance threshold value according to a peak maximum value of the vibration signal and a signal mean value of the vibration signal; The vibration characteristic value is compared with a disturbance threshold. When the vibration characteristic value is greater than the disturbance threshold, the vibration signal is judged to be a disturbance signal. When the vibration characteristic value is less than a preset threshold, the vibration signal is judged to be a steady-state signal.

[0009] In a possible implementation, determining the disturbance threshold according to the maximum value of the vibration signal peak value and the average value of the vibration signal includes: Determine the difference between the maximum value of the vibration signal peak and the average value of the vibration signal to generate a signal difference value; A disturbance threshold is determined according to the signal difference and a preset adjustment coefficient.

[0010] In a possible implementation, determining the intrusion signal according to the duration of the disturbance signal includes: Determining the duration of the disturbance signal according to the critical point between the disturbance signal and the steady-state signal; The duration is compared with a preset intrusion time threshold, and when the duration is greater than the preset intrusion time, the disturbance signal is determined to be an intrusion signal.

[0011] In a possible implementation, determining the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal includes: Based on the peak-finding algorithm, the intrusion signal is peak-finding calculated to determine the number of signal peaks and the peak value of the signal peaks of the intrusion signal; Accumulating the signal peak values ​​of the intrusion signals to generate a total signal peak value; The peak value number and the total signal peak value of the intrusion signal constitute the intrusion characteristic value of the intrusion signal.

[0012] In a possible implementation, the perimeter intrusion mode is identified according to the intrusion feature value and a preset intrusion mode threshold, including: Comparing the intrusion characteristic value of the intrusion signal with a preset intrusion mode threshold; When the intrusion characteristic value satisfies the corresponding intrusion mode threshold adjustment, the intrusion mode of the perimeter intrusion is determined and an intrusion alarm is triggered.

[0013] In a second aspect, the present invention further provides a perimeter intrusion identification device, comprising: A disturbance signal confirmation module, used to calculate the vibration characteristic value of the peripheral vibration signal within the time window according to the vibration amplitude and the vibration mean value, and determine the disturbance signal according to the vibration characteristic value; An intrusion characteristic value calculation module, used to determine the intrusion signal according to the duration of the disturbance signal; and determine the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal; The intrusion identification module is used to identify the perimeter intrusion mode according to the intrusion feature value and a preset intrusion mode threshold.

[0014] In a third aspect, the present invention also provides an electronic device, comprising a memory and a processor, wherein the memory is used to store programs and data; the processor is coupled to the memory, and is used to execute the program stored in the memory to implement the perimeter intrusion identification method as described above, and / or to implement the perimeter intrusion identification as described above.

[0015] In a fourth aspect, the present invention further provides a computer storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the perimeter intrusion identification method as described above.

[0016] The beneficial effects of the present invention are as follows: first, the vibration characteristic value of the perimeter vibration signal in the time window is calculated according to the vibration amplitude and the vibration mean, and the disturbance signal is determined according to the vibration characteristic value; then, the intrusion signal is determined according to the duration of the disturbance signal; the intrusion characteristic value of the intrusion signal is determined according to the number of signal peaks of the intrusion signal and the sum of the signal peaks of the intrusion signal; finally, the perimeter intrusion mode is identified according to the intrusion characteristic value and the preset intrusion mode threshold. The present invention confirms whether the vibration signal is a disturbance signal by calculating the vibration characteristic value of the perimeter vibration signal, and then determines whether it is an intrusion signal according to the duration of the disturbance signal. When it is an intrusion signal, the intrusion characteristic value of the intrusion signal is determined according to the number of signal peaks of the intrusion signal and the sum of the intrusion signal peaks, and the intrusion characteristic value is matched with the preset intrusion mode threshold, thereby identifying the perimeter intrusion mode. The present invention realizes the intrusion identification of weak vibration signals by calculating the perimeter vibration signal at multiple levels, and identifies the perimeter intrusion according to the accumulation of signal peaks and the number of signal peaks, thereby improving the accuracy and efficiency of perimeter intrusion identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 work.

[0018] Figure 1 A schematic diagram of a flow chart of an embodiment of a perimeter intrusion identification method provided by the present invention; Figure 2 For the present invention Figure 1 Schematic diagram of the process of the first embodiment of step S101; Figure 3 For the present invention Figure 1 A schematic flow chart of a second embodiment of step S101; Figure 4 For the present invention Figure 3 A schematic flow chart of a second embodiment of step S301; Figure 5 For the present invention Figure 1 Schematic diagram of the process of the first embodiment of step S102; Figure 6 For the present invention Figure 1 A schematic flow chart of a second embodiment of step S102; Figure 7 For the present invention Figure 1 A schematic flow chart of an embodiment of step S103; Figure 8The vibration signal generated by the first artificial intrusion process provided by the present invention; Fig. 9 A vibration signal generated by the second artificial intrusion process provided by the present invention; Fig.10 A schematic diagram of the structure of an embodiment of the perimeter intrusion identification electronic device provided by the present invention; Fig.11 A schematic diagram of the structure of an embodiment of the perimeter intrusion identification storage medium provided by the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.

[0021] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" or "second" may explicitly or implicitly include at least one of the features.

[0022] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present invention provides a perimeter intrusion identification method, device, electronic device and storage medium, which are described below respectively.

[0024] Figure 1 A schematic diagram of an embodiment of the perimeter intrusion identification method provided by the present invention is shown in FIG. Figure 1 As shown, the perimeter intrusion identification method includes: S101, calculating the vibration characteristic value of the peripheral vibration signal within the time window according to the vibration amplitude and the vibration mean, and determining the disturbance signal according to the vibration characteristic value; S102, determining an intrusion signal according to the duration of the disturbance signal; determining an intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal; S103: Identify the perimeter intrusion pattern according to the intrusion feature value and the preset intrusion pattern threshold.

[0025] It should be noted that this embodiment is about the recognition capability of the buried grating array optical fiber sensor vibration detection system for the human intrusion behavior at the perimeter, and the buried grating array vibration detection system is used to collect the environmental vibration signal.

[0026] Specifically, the vibration amplitude of the vibration signal indicates the strength of the vibration signal. The vibration mean is the average value of all vibration amplitudes within a given time window, reflecting the average intensity of the vibration within the time period. The vibration characteristic value calculated based on the vibration amplitude and the vibration mean is used to reflect the overall characteristics of the vibration signal within the time window. The vibration signal is divided into a disturbance signal and a steady-state signal according to the vibration characteristic value of the vibration signal. The duration of the disturbance signal is an important indicator. If the disturbance signal continues to exceed a certain threshold, it may be an intrusion signal, indicating that potential intrusion behavior has occurred. In the intrusion signal, the number of peaks whose vibration intensity exceeds the preset peak threshold reflects the frequency or intensity change of the intrusion behavior. All signal peaks that exceed the preset peak threshold are accumulated to enhance the characteristic of the weak signal and further quantify the intensity of the intrusion behavior. The sum of the number of signal peaks and the signal peak of the intrusion signal is the intrusion characteristic value. According to historical data, security requirements and other factors, the threshold or standard for identifying different intrusion modes is preset, and the intrusion characteristic value is compared with the preset intrusion mode threshold. The specific intrusion mode (such as climbing, digging, cutting, etc.) is identified through matching degree or similarity analysis.

[0027] This embodiment calculates the vibration characteristic value of the perimeter vibration signal within the time window according to the vibration amplitude and the vibration mean, determines the disturbance signal according to the vibration characteristic value; determines the intrusion signal according to the duration of the disturbance signal; determines the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peaks of the intrusion signal; and identifies the perimeter intrusion mode according to the intrusion characteristic value and the preset intrusion mode threshold. The present invention confirms whether the vibration signal is a disturbance signal by calculating the vibration characteristic value of the perimeter vibration signal, and then determines whether it is an intrusion signal according to the duration of the disturbance signal. If it is an intrusion signal, the intrusion characteristic value of the intrusion signal is determined according to the number of signal peaks of the intrusion signal and the sum of the intrusion signal peaks, and matches the intrusion characteristic value with the preset intrusion mode threshold, thereby identifying the perimeter intrusion mode. The intrusion identification of weak vibration signals is realized, and the accuracy and efficiency of perimeter intrusion identification are improved.

[0028] This embodiment calculates the perimeter vibration signal at multiple levels and identifies the perimeter intrusion according to the accumulation of signal peak values ​​and the number of signal peaks, thereby realizing the intrusion identification of weak vibration signals and improving the accuracy and efficiency of perimeter intrusion identification.

[0029] In some embodiments of the present invention, Figure 2 As shown, Figure 2 The present invention provides Figure 1 The flowchart of the first embodiment of step S101 in FIG. 1 includes: S201, obtaining an initial vibration signal of the perimeter within a time window; S202, filtering and smoothing the initial vibration signal to generate a vibration signal; S203, calculating the signal mean of the vibration signal; S204: Determine a vibration characteristic value of the vibration signal according to a signal mean value, a vibration amplitude, and a signal length of the vibration signal.

[0030] Specifically, the buried array grating vibration detection system collects the surrounding environmental vibration signals and sets an appropriate time window. The time window set in this embodiment is 2 seconds, and the initial vibration signal data within 2 seconds is captured. The initial vibration signal may contain various frequency components, including vibrations caused by various types of environmental noise, etc. A bandpass filter, a low-pass filter or a high-pass filter is used to filter the initial vibration signal according to the required frequency range to remove irrelevant noise components. Smoothing techniques such as moving average filters, median filters or Gaussian filters are used to reduce random fluctuations in the vibration signal and improve the signal-to-noise ratio of the signal. After filtering and smoothing, a clearer and continuous vibration signal is obtained.

[0031] Furthermore, within a given time window, the average value of all sampling points of the vibration signal is calculated to obtain the signal mean. The signal mean reflects the average intensity of the vibration within the time period. The vibration amplitude is the difference between the maximum and minimum values ​​of the vibration signal, indicating the intensity range of the vibration. The signal length is the number of sampling points of the vibration signal within the time window, reflecting the time span of the signal. The vibration characteristic values ​​of the vibration signal include signal variance, square root of signal variance, standard deviation, peak factor, kurtosis, etc. The calculation formula of the characteristic value of the square root of signal variance is introduced in detail here: , Where S is the vibration eigenvalue of the signal variance, is the signal length, For the The vibration amplitude of each sampling point, is the signal mean.

[0032] This embodiment calculates the vibration characteristic value of the vibration signal through the signal mean value, vibration amplitude and signal length of the vibration signal, which can accurately describe the overall characteristics of the vibration signal within the window time.

[0033] In some embodiments of the present invention, Figure 3 As shown, Figure 3 The present invention provides Figure 1 The flowchart of the second embodiment of step S101 in FIG. 1 includes: S301, determining a disturbance threshold according to a peak maximum value of the vibration signal and a signal mean value of the vibration signal; S302, comparing the vibration characteristic value with the disturbance threshold, when the vibration characteristic value is greater than the disturbance threshold, determining that the vibration signal is a disturbance signal, when the vibration characteristic value is less than the preset threshold, determining that the vibration signal is a steady-state signal.

[0034] Specifically, the vibration characteristic value is compared with the disturbance threshold. When the vibration characteristic value is greater than the disturbance threshold, the vibration signal is judged to be a disturbance signal. This indicates that there is abnormal or irregular vibration in the signal. When the vibration characteristic value is less than the preset threshold, the vibration signal is judged to be a steady-state signal. This indicates that the signal is stable and there is no obvious abnormal or irregular vibration.

[0035] This embodiment distinguishes the vibration signal by using the disturbance threshold, and can accurately and quickly distinguish whether the vibration signal is a disturbance signal or a steady-state signal, thereby providing an accurate basis for subsequent signal analysis.

[0036] In some embodiments of the present invention, Figure 4 As shown, Figure 4 The present invention provides Figure 3 The flowchart of an embodiment of step S301 in the embodiment includes: S401, determining the difference between the maximum value of the vibration signal peak value and the average value of the vibration signal, and generating a signal difference value; S402: Determine a disturbance threshold according to the signal difference and a preset adjustment coefficient.

[0037] Specifically, the disturbance threshold is set based on the peak value of the vibration signal and the signal mean combined with the adjustment coefficient. This threshold is used to distinguish between steady-state signals and disturbance signals. The steady-state signal is normal vibration, and the disturbance signal is abnormal vibration. The calculation formula of the disturbance threshold is: , in, is the disturbance threshold, is the peak value of the vibration signal, is the signal mean, For the adjustment coefficient, a suitable adjustment coefficient is selected according to the characteristics of the signal and the actual application requirements. The recommended range of the adjustment coefficient is 0.2~0.5. In this embodiment, the adjustment coefficient is set to 0.25. The adjustment coefficient is used to adjust the sensitivity of the disturbance threshold and determines the influence of the difference between the peak maximum value and the mean value on the threshold.

[0038] This embodiment sets the disturbance threshold by the peak maximum value of the vibration signal, the signal mean value and the adjustment coefficient. It can adjust the sensitivity of the disturbance threshold according to actual needs, and timely adjust the disturbance threshold according to the peak maximum value and the signal mean value of the vibration signal within the window time, thereby further improving the sensitivity and accuracy of the disturbance threshold.

[0039] In some embodiments of the present invention, Figure 5 As shown, Figure 5 The present invention provides Figure 1 The flowchart of the first embodiment of step S102 in FIG. 1 includes: S501, determining the duration of the disturbance signal according to the critical point between the disturbance signal and the steady-state signal; S502: Compare the duration with a preset intrusion time threshold, and when the duration is greater than the preset intrusion time, determine that the disturbance signal is an intrusion signal.

[0040] Specifically, when the characteristic value of the vibration exceeds the disturbance threshold, it can be considered that the signal changes from steady state to disturbance. The signal point at this location is regarded as the critical point where the disturbance signal starts, that is, the starting point of the disturbance signal. The signal before the critical point is the steady-state signal, and the signal after the critical point belongs to the disturbance signal. When the characteristic value of the vibration gradually decreases until it is less than the disturbance threshold, the signal at this location is regarded as the critical point where the disturbance signal ends, that is, the end point of the disturbance signal. The time interval from the starting point to the end point of the disturbance signal is the duration of the disturbance signal. An intrusion time threshold is set according to actual application requirements to determine whether the disturbance signal is long enough. The intrusion time threshold in this embodiment is set to 3 seconds. If the duration of the disturbance signal is greater than the preset intrusion time threshold, the disturbance signal is judged to be an intrusion signal. If the duration of the disturbance signal is less than or equal to the preset intrusion time threshold, the signal is considered to be a short-term disturbance or noise and does not constitute an intrusion.

[0041] This embodiment effectively determines whether a disturbance signal is an intrusion signal by the duration of the disturbance signal, thereby providing an accurate basis for subsequent monitoring, alarming or control operations.

[0042] In some embodiments of the present invention, Figure 6 As shown, Figure 6 The present invention provides Figure 1 The flowchart of the second embodiment of step S102 in FIG. 1 includes: S601, performing peak-finding calculation on the intrusion signal based on a peak-finding algorithm to determine the number of signal peaks and the peak value of the signal peaks of the intrusion signal; S602, accumulating the signal peaks of the intrusion signals to generate a total signal peak; S603: The number of intrusion signal peaks and the total signal peak value constitute an intrusion characteristic value of the intrusion signal.

[0043] Specifically, the peak-finding algorithm is used to determine the number of signal peaks in the intrusion signal. That is, the number of peak points in the vibration signal that exceed the peak threshold or meet specific conditions. The peak value of each signal peak is recorded. The peak value refers to the amplitude value at the signal peak. The peak values ​​of all signal peaks are accumulated to obtain the total signal peak value. The total signal peak value reflects the overall strength or energy of the intrusion signal. The number of signal peaks and the total signal peak value are combined to form the intrusion characteristic value of the intrusion signal. This characteristic value can be used for subsequent signal analysis, classification or recognition tasks.

[0044] This embodiment determines the intrusion characteristic value of the intrusion signal according to the number of signal peaks and the total signal peak value of the intrusion signal, which can accurately reflect the overall strength or energy of the intrusion signal and provide an accurate basis for subsequent signal analysis and identification.

[0045] In some embodiments of the present invention, Figure 7 As shown, Figure 7The present invention provides Figure 1 The flowchart of an embodiment of step S103 in the embodiment includes: S701, comparing the intrusion characteristic value of the intrusion signal with a preset intrusion mode threshold; S702: When the intrusion feature value satisfies the corresponding intrusion mode threshold adjustment, the intrusion mode of the perimeter intrusion is determined and an intrusion alarm is triggered.

[0046] Specifically, based on the historical data analysis and summary, different intrusion mode thresholds are set to distinguish different types of intrusion modes, including human walking, running, climbing, vehicle passing, etc. Each mode corresponds to a set of specific intrusion feature value ranges. The two dimensions of the intrusion feature value, namely the number of signal peaks and the total signal peak value, are compared with the preset intrusion mode thresholds. When the two dimensions of the intrusion feature value match a certain intrusion mode threshold range, it is considered that the intrusion signal matches the intrusion mode, and different intrusion alarms are triggered according to different intrusion modes.

[0047] like Figure 8 and Fig. 9 , as shown, Figure 8 The vibration signal generated by the first artificial intrusion process provided by the present invention is Fig. 9 The vibration signal generated by the second human intrusion process provided by the present invention can be determined by calculating the characteristic values ​​of the two groups of vibration signals and analyzing the number of peaks and the sum of peaks, and it can be determined that the two groups of vibration signals are human intrusions and can trigger intrusion alarms.

[0048] In order to better implement the perimeter intrusion identification method in the embodiment of the present invention, based on the perimeter intrusion identification method, correspondingly, Fig.10 As shown, the embodiment of the present invention further provides a perimeter intrusion identification device 1000 including: A disturbance signal confirmation module 1001 is used to calculate the vibration characteristic value of the peripheral vibration signal within the time window according to the vibration amplitude and the vibration mean value, and determine the disturbance signal according to the vibration characteristic value; The intrusion characteristic value calculation module 1002 is used to determine the intrusion signal according to the duration of the disturbance signal; determine the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal; The intrusion identification module 1003 is used to identify the perimeter intrusion pattern according to the intrusion feature value and the preset intrusion pattern threshold.

[0049] The perimeter intrusion identification device 1000 provided in the above embodiment can implement the technical solution described in the above perimeter intrusion identification method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above perimeter intrusion identification method embodiment, which will not be repeated here.

[0050] In the embodiment of the present invention, the perimeter intrusion identification device may be an independent server, or a server network or server cluster composed of servers. For example, the perimeter intrusion identification device described in the embodiment of the present invention includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud server composed of a plurality of servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0051] The present invention also provides a perimeter intrusion identification electronic device, such as Fig.11 As shown, Fig.11 This is a structural block diagram of an embodiment of a perimeter intrusion identification device provided by the present invention. The perimeter intrusion identification device 1100 can be a computing device such as a mobile terminal, a desktop computer, a notebook, a PDA, and a server. The perimeter intrusion identification device 1100 includes a processor 1101 and a memory 1102, wherein the memory 1102 stores a perimeter intrusion identification program 1103.

[0052] In some embodiments, the memory 1102 may be an internal storage unit of a computer device, such as a hard disk or memory of the computer device. In other embodiments, the memory 1102 may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the computer device. Further, the memory 1102 may also include both an internal storage unit of the computer device and an external storage device. The memory 1102 is used to store application software and various types of data installed in the computer device, such as program codes installed in the computer device. The memory 1102 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the perimeter intrusion identification program 1103 may be executed by the processor 1101, thereby realizing the perimeter intrusion identification method, device, electronic device and storage device of each embodiment of the present invention.

[0053] In some embodiments, the processor 1101 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes stored in the memory 1102 or process data, such as executing a perimeter intrusion identification program.

[0054] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0055] The perimeter intrusion identification method, device, electronic device and storage device provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A perimeter intrusion identification method, characterized in that: include: Calculating a vibration characteristic value of a peripheral vibration signal within a time window according to the vibration amplitude and the vibration mean, and determining a disturbance signal according to the vibration characteristic value; Determine the intrusion signal according to the duration of the disturbance signal; determine the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak value of the intrusion signal; The perimeter intrusion mode is identified according to the intrusion feature value and a preset intrusion mode threshold.

2. The perimeter intrusion identification method according to claim 1, characterized in that: The vibration characteristic value of the peripheral vibration signal within the time window is calculated based on the fluctuation amplitude and the signal mean, including: Obtaining the initial vibration signal of the perimeter within the time window; Filtering and smoothing the initial vibration signal to generate a vibration signal; Calculating a signal mean of the vibration signal; A vibration characteristic value of the vibration signal is determined according to a signal mean value, a vibration amplitude and a signal length of the vibration signal.

3. The perimeter intrusion identification method according to claim 2, characterized in that: Determining a disturbance signal according to the vibration characteristic value includes: Determine a disturbance threshold value according to a peak maximum value of the vibration signal and a signal mean value of the vibration signal; The vibration characteristic value is compared with a disturbance threshold. When the vibration characteristic value is greater than the disturbance threshold, the vibration signal is judged to be a disturbance signal. When the vibration characteristic value is less than a preset threshold, the vibration signal is judged to be a steady-state signal.

4. The perimeter intrusion identification method according to claim 3, characterized in that: The disturbance threshold is determined according to the maximum value of the vibration signal peak value and the average value of the vibration signal, including: Determine the difference between the maximum value of the vibration signal peak and the average value of the vibration signal to generate a signal difference value; A disturbance threshold is determined according to the signal difference and a preset adjustment coefficient.

5. The perimeter intrusion identification method according to claim 4, characterized in that: The intrusion signal is determined based on the duration of the disturbance signal, including: Determining the duration of the disturbance signal according to the critical point between the disturbance signal and the steady-state signal; The duration is compared with a preset intrusion time threshold, and when the duration is greater than the preset intrusion time, the disturbance signal is determined to be an intrusion signal.

6. The perimeter intrusion identification method according to claim 5, characterized in that: Determining the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal includes: Based on the peak-finding algorithm, the intrusion signal is peak-finding calculated to determine the number of signal peaks and the peak value of the signal peaks of the intrusion signal; Accumulating the signal peak values ​​of the intrusion signals to generate a total signal peak value; The peak value number and the total signal peak value of the intrusion signal constitute the intrusion characteristic value of the intrusion signal.

7. The perimeter intrusion identification method according to claim 6, characterized in that: According to the intrusion feature value and the preset intrusion mode threshold, the perimeter intrusion mode is identified, including: Comparing the intrusion characteristic value of the intrusion signal with a preset intrusion mode threshold; When the intrusion characteristic value satisfies the corresponding intrusion mode threshold adjustment, the intrusion mode of the perimeter intrusion is determined and an intrusion alarm is triggered.

8. A perimeter intrusion identification device, characterized in that: include: A disturbance signal confirmation module, used to calculate the vibration characteristic value of the peripheral vibration signal within the time window according to the vibration amplitude and the vibration mean value, and determine the disturbance signal according to the vibration characteristic value; An intrusion characteristic value calculation module, used to determine the intrusion signal according to the duration of the disturbance signal; and determine the intrusion characteristic value of the intrusion signal according to the number of signal peaks of the intrusion signal and the sum of the signal peak values ​​of the intrusion signal; The intrusion identification module is used to identify the perimeter intrusion mode according to the intrusion feature value and a preset intrusion mode threshold.

9. A perimeter intrusion identification electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the perimeter intrusion identification method as claimed in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores computer program instructions, and when the computer program instructions are executed by a computer, the computer is caused to execute the perimeter intrusion identification method according to any one of claims 1 to 7.

Images