Method, device and equipment for adjusting vibration optical fiber alarm threshold value and storage medium

Abstract

The invention provides a vibration optical fiber alarm threshold adjustment method, device and equipment and a storage medium, and belongs to the technical field of perimeter security and protection, and the method comprises the steps: obtaining vibration signals and environment parameter data collected based on a vibration optical fiber sensor and an environment sensor which are installed on a perimeter; extracting signal features of the vibration signals and data features of the environmental parameter data; inputting the signal features and the data features into an alarm threshold adjustment model to obtain a reference threshold; and obtaining the current threshold value of the vibration optical fiber, and adjusting the current threshold value of the vibration optical fiber as the reference threshold value. According to the method, the signal features and the data features are input into the alarm threshold adjustment model to obtain the reference threshold, false alarms caused by environmental factors and normal activities are reduced, it is ensured that the alarm can be triggered timely and accurately when a real intrusion behavior occurs, and the alarm accuracy of the perimeter security system is improved.

Description

Technical Field

[0001] The present invention relates to the field of perimeter security technology, and in particular to a method, device, equipment and storage medium for adjusting a vibration optical fiber alarm threshold. Background Art

[0002] With the continuous construction of large facilities, security has become a hot research topic for protecting large facilities, such as airport perimeter security warning, oil and gas pipeline intrusion alarm, etc. At present, there are some perimeter security systems based on fiber optic sensing technology. These systems usually use vibration sensing fiber as the sensing component, and realize the monitoring of behaviors such as climbing, shearing, walking, etc. through rapid sensing of vibration.

[0003] In terms of signal recognition, existing technical solutions often rely on traditional signal processing technology. Specifically, by comparing the sensed vibration signal with the alarm threshold, when the threshold is exceeded, the detection result is that there is an intrusion behavior and an alarm is generated. When the alarm threshold is not exceeded, the detection result is that there is no intrusion result. The alarm threshold is usually fixed based on empirical values ​​or historical data. However, the actual application environment is complex and changeable. Different environmental conditions and surrounding activities will affect the detection signal of the vibrating optical fiber. For example, in an environment where the temperature changes rapidly and the temperature difference is large, the vibrating optical fiber may produce some tiny vibrations due to thermal expansion and contraction. If a fixed alarm threshold is used, the alarm may be triggered by mistake. In some special cases, such as slight natural vibrations or vibrations caused by normal activities in the surrounding area, they may also be misjudged as intrusions, resulting in false alarms. On the other hand, when a real intrusion occurs, if the alarm threshold is set too high, it may be missed, posing a serious safety hazard. In summary, a fixed alarm threshold is prone to false alarms or missed alarms, reducing the alarm accuracy and reliability of the perimeter security system.

[0004] Therefore, there is an urgent need to provide a method, device, equipment and storage medium for adjusting the vibration optical fiber alarm threshold to achieve dynamic adjustment of the alarm threshold to improve the alarm accuracy and reliability of the perimeter security system. Summary of the invention

[0005] In view of this, it is necessary to provide a method, device, equipment and storage medium for adjusting the vibration optical fiber alarm threshold to solve the technical problem in the prior art that alarms are based on fixed thresholds, which may lead to false alarms or missed alarms, and thus result in low alarm accuracy and reliability of the perimeter security system.

[0006] On the one hand, in order to solve the above technical problems, the present invention provides a method for adjusting a vibration optical fiber alarm threshold, comprising: Acquire vibration signals and environmental parameter data collected by vibration optical fiber sensors and environmental sensors installed on the perimeter; Extracting signal features of the vibration signal and data features of the environmental parameter data; Inputting the signal feature and the data feature into an alarm threshold adjustment model to obtain a reference threshold; Obtain a current threshold value of the vibrating optical fiber, and adjust the current threshold value of the vibrating optical fiber to the reference threshold value.

[0007] In a possible implementation, the signal features include time domain features and frequency domain features, the time domain features include amplitude mean, amplitude standard deviation, amplitude peak and zero-crossing rate; the frequency domain features include spectrum energy distribution and main frequency.

[0008] In a possible implementation, the vibration signal includes a plurality of vibration sub-signals corresponding one-to-one to a plurality of sampling points; and extracting a signal feature of the vibration signal includes: Determine a plurality of amplitudes of the plurality of vibrator signals, and determine the amplitude mean, the amplitude standard deviation, the amplitude peak, and the zero-crossing rate based on the plurality of amplitudes; Performing a fast Fourier transform on the vibration signal to obtain a frequency domain signal; the frequency domain signal includes a plurality of frequency domain sub-signals corresponding to a plurality of frequencies one by one; Determine the spectrum energy proportion of each frequency domain sub-signal and the target frequency with the largest frequency energy proportion; use the frequency energy proportion of the multiple frequency domain sub-signals as the spectrum energy distribution, and use the target frequency as the main frequency.

[0009] In one possible implementation, the data features include temperature features, humidity features and wind speed features, the temperature features include temperature difference and temperature change rate; the humidity features include relative humidity and humidity change trend value; the wind speed features include wind speed value and the angle between wind direction and the vibration optical fiber sensor.

[0010] In a possible implementation, the environmental parameter data includes a current temperature value, a current relative humidity, a current wind speed, and a current wind direction; extracting data features of the environmental parameter data includes: Obtaining a historical average temperature and a reference temperature value at a previous time point, taking a difference between the current temperature value and the historical average temperature as the temperature difference, and taking a ratio of a difference between the current temperature value and the reference temperature value to a time difference between the previous time point and the current time point as the temperature change rate; The relative humidity at the last time point is obtained, and the humidity change trend value is determined based on the magnitude relationship between the current relative humidity and the relative humidity and the corresponding relationship between the magnitude relationship and the humidity change trend value.

[0011] In a possible implementation, the alarm threshold adjustment model is a support vector regression model.

[0012] In a possible implementation, the method further includes: Acquire perimeter alarm information based on the reference threshold; the perimeter alarm information includes the time when the abnormality occurred, the location where the abnormality occurred and the cause of the abnormality; The alarm threshold adjustment model is optimized based on the abnormality occurrence time, the abnormality occurrence location and the abnormality cause to obtain an optimized threshold adjustment model, and an adjusted alarm threshold is generated based on the optimized threshold adjustment model.

[0013] On the other hand, the present invention also provides a device for adjusting a vibration optical fiber alarm threshold, comprising: A data acquisition unit, used to acquire vibration signals and environmental parameter data collected based on vibration optical fiber sensors and environmental sensors installed on the perimeter; A data feature extraction unit, used to extract the signal feature of the vibration signal and the data feature of the environmental parameter data; A reference threshold determination unit, used for inputting the signal feature and the data feature into an alarm threshold adjustment model to obtain a reference threshold; The threshold value adjustment unit is used to obtain the current threshold value of the vibrating optical fiber and adjust the current threshold value of the vibrating optical fiber to the reference threshold value.

[0014] On the other hand, the present invention also provides a perimeter security device, including a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for adjusting the vibration optical fiber alarm threshold value described in any one of the possible implementations above.

[0015] On the other hand, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the method for adjusting the vibration optical fiber alarm threshold described in any of the above possible implementation methods.

[0016] The beneficial effects of the present invention are as follows: the method for adjusting the vibration optical fiber alarm threshold provided by the present invention obtains vibration signals and environmental parameter data, extracts signal characteristics of the vibration signals and data characteristics of the environmental parameter data, and inputs the signal characteristics and data characteristics into the alarm threshold adjustment model to obtain a reference threshold, thereby achieving the purpose of dynamically adjusting the alarm threshold based on normal activities and environmental factors, reducing false alarms caused by environmental factors and normal activities, and ensuring that the alarm can be triggered in a timely and accurate manner when a real intrusion occurs, thereby improving the alarm accuracy of the perimeter security system.

[0017] Furthermore, the present invention dynamically adjusts the alarm threshold so that the perimeter security system can adapt to different environmental conditions and surrounding activities, thereby improving the applicability of the perimeter security system to the environment. In addition, there is no need to manually adjust the alarm threshold, which reduces the workload of manual intervention in adjusting the alarm threshold, reduces the maintenance cost of the perimeter security system, and improves management efficiency. At the same time, the intelligence level of the perimeter security system is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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.

[0019] Figure 1 A schematic flow chart of an embodiment of a method for adjusting a vibration optical fiber alarm threshold provided by the present invention; Figure 2 This is a schematic diagram of an embodiment of the process of extracting signal features in step S102 of the present invention; Figure 3 A schematic diagram of a flow chart of an embodiment of optimizing an alarm threshold adjustment model provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of a device for adjusting a vibration optical fiber alarm threshold provided by the present invention; Figure 5 A schematic structural diagram of an embodiment of the perimeter security equipment provided by the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0021] It should be understood that the schematic drawings are not drawn to scale. The flowchart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present invention, and can also remove one or more operations from the flowchart. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[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 method, device, equipment and storage medium for adjusting a vibration optical fiber alarm threshold, which are respectively described below.

[0024] Figure 1 A schematic flow chart of an embodiment of a method for adjusting the vibration optical fiber alarm threshold provided by the present invention is shown in FIG. Figure 1 As shown, the method for adjusting the vibration optical fiber alarm threshold includes: S101, obtaining vibration signals and environmental parameter data collected by vibration optical fiber sensors and environmental sensors installed on the perimeter; S102, extracting signal features of the vibration signal and data features of the environmental parameter data; S103, inputting the signal characteristics and data characteristics into the alarm threshold adjustment model to obtain a reference threshold; S104, obtaining the current threshold of the vibrating optical fiber, and adjusting the current threshold of the vibrating optical fiber to the reference threshold.

[0025] It should be noted that the installation location and layout of vibration fiber optic sensors and environmental sensors should be reasonably determined according to the actual situation of the perimeter and security requirements. For example, for long-distance perimeters, segmented installation can be used to ensure that each area can be effectively monitored. At the same time, the coverage and detection accuracy of the sensor should be considered to avoid monitoring blind spots.

[0026] In addition, to further improve the accuracy of the alarm threshold, the environmental sensor should be installed as close to the vibration fiber optic sensor as possible so that it can accurately reflect the actual situation of the environment in which the vibration fiber optic sensor is located. At the same time, it is necessary to ensure that the environmental sensor is not interfered with by the outside world, such as avoiding direct sunlight and rain, so as to ensure that the detection results are not interfered with by the outside world.

[0027] In a specific embodiment of the present invention, in order to realize monitoring of the entire perimeter, the vibration optical fiber sensor is a sensor based on distributed optical fiber sensing technology.

[0028] Compared with the prior art, the method for adjusting the vibration optical fiber alarm threshold provided in the embodiment of the present invention obtains vibration signals and environmental parameter data, extracts signal characteristics of the vibration signals and data characteristics of the environmental parameter data, and inputs the signal characteristics and data characteristics into the alarm threshold adjustment model to obtain a reference threshold, thereby achieving the purpose of dynamically adjusting the alarm threshold based on normal activities and environmental factors, reducing false alarms caused by environmental factors and normal activities, and ensuring that the alarm can be triggered in a timely and accurate manner when a real intrusion occurs, thereby improving the alarm accuracy of the perimeter security system.

[0029] Furthermore, the embodiments of the present invention dynamically adjust the alarm threshold so that the perimeter security system can adapt to different environmental conditions and surrounding activities, thereby improving the applicability of the perimeter security system to the environment. In addition, there is no need to manually adjust the alarm threshold, which reduces the workload of manual intervention in adjusting the alarm threshold, reduces the maintenance cost of the perimeter security system, and improves management efficiency. At the same time, the intelligence level of the perimeter security system is improved.

[0030] It is well known in the art that the selection of features is crucial to the output of the alarm threshold adjustment model. To further ensure the accuracy of the reference threshold, in some embodiments of the present invention, the signal features include time domain features and frequency domain features. The time domain features include amplitude mean, amplitude standard deviation, amplitude peak and zero crossing rate; the frequency domain features include spectral energy distribution and main frequency.

[0031] The embodiment of the present invention sets the time domain features to include the amplitude mean, and uses the amplitude mean to reflect the overall intensity level of the vibration. The amplitude standard deviation is set to measure the discreteness of the vibration signal amplitude. A larger standard deviation indicates a larger change in the amplitude of the vibration, which may mean that an abnormal situation has occurred. The amplitude peak is set to quickly reflect the intensity of the vibration, which is effective for detecting sudden and strong vibrations. Different types of vibrations are determined by setting the zero-crossing rate to distinguish between normal vibrations and abnormal vibrations. That is, the embodiment of the present invention characterizes the characteristics of the vibration through four different dimensions, namely the amplitude mean, the amplitude standard deviation, the amplitude peak, and the zero-crossing rate, thereby improving the comprehensiveness of the time domain feature in characterizing the vibration signal. Similarly, the frequency domain features are set to include the spectrum energy distribution and the main frequency, and the vibration frequency domain signal is characterized from the characteristics of two different dimensions, thereby improving the accuracy of the reference threshold determined by the time domain features and the frequency domain features.

[0032] It should be understood that the vibration signal includes a plurality of vibration sub-signals corresponding one-to-one to a plurality of sampling points.

[0033] The sampling point refers to the collection moment within the time window length at the preset sampling frequency. For example, if the sampling frequency is 1S / time and the time window length is 10S, there are 10 sampling points in total.

[0034] It should be noted that the sampling frequency needs to be set according to actual needs and system performance. Specifically, when the acquisition frequency is too low, some important vibration events and environmental changes may be missed; when the acquisition frequency is too high, the system burden and data processing difficulty may be increased. Taking into account different application scenarios and security levels, the acquisition frequency can be adjusted dynamically. For example, in high-risk periods or areas with high safety requirements, the acquisition frequency can be increased to ensure that abnormal situations can be discovered in time; while in low-risk periods or areas with relatively low safety requirements, the acquisition frequency can be appropriately reduced to save system resources.

[0035] In some embodiments of the present invention, Figure 2 As shown, the step S102 of extracting the signal features of the vibration signal includes: S201, determining multiple amplitudes of multiple vibration sub-signals, and determining an amplitude mean, an amplitude standard deviation, an amplitude peak value, and a zero-crossing rate based on the multiple amplitudes; S202, performing fast Fourier transform on the vibration signal to obtain a frequency domain signal; the frequency domain signal includes a plurality of frequency domain sub-signals corresponding to the plurality of frequencies one by one; S203, determining the spectrum energy proportion of each frequency domain sub-signal and the target frequency with the largest frequency energy proportion; taking the frequency energy proportions of the multiple frequency domain sub-signals as the spectrum energy distribution, and taking the target frequency as the main frequency.

[0036] Specifically, the amplitude mean Mfor:

[0037] Amplitude standard deviation for:

[0038] Amplitude peak for:

[0039] Zero crossing rate Z for:

[0040] Among them, if the product of the amplitudes of two adjacent sampling points is less than zero, it is considered that a zero crossing has occurred, and the total number of zero crossings refers to the number of zero crossings that occur within the length of the time window.

[0041] In the formula, N is the total number of oscillator signals; is the amplitude of the i-th oscillator signal.

[0042] The process of determining the spectral energy ratio of the frequency domain sub-signal is as follows: first, sum the amplitude squares of the frequency domain signal to obtain the total energy, then determine the ratio of the amplitude of each frequency to the total energy, and use the ratio of all frequencies as the spectral energy distribution.

[0043] In some embodiments of the present invention, the data features include temperature features, humidity features, and wind speed features.

[0044] The embodiment of the present invention considers environmental parameters of three different dimensions, namely, temperature, humidity and wind speed, by setting data features including temperature features, humidity features and wind speed features, thereby improving the applicability of the method for adjusting the vibration optical fiber alarm threshold to the environment.

[0045] It should be understood that the environmental parameter data includes temperature data collected by a temperature sensor, humidity data collected by a humidity sensor, and wind speed data collected by a wind speed sensor. In order to improve the accuracy of the extracted data features, in a specific embodiment of the present invention, for the temperature sensor, a digital temperature sensor with high accuracy and fast response speed can be selected; for the humidity sensor, a capacitive humidity sensor with good stability and reliability can be selected; for the wind speed sensor, an ultrasonic wind speed sensor that can accurately measure wind speed and wind direction can be selected.

[0046] In a specific embodiment of the present invention, the temperature characteristics include temperature difference and temperature change rate; the humidity characteristics include relative humidity and humidity change trend value; the wind speed characteristics include wind speed value and the angle between wind direction and the vibration optical fiber sensor.

[0047] In a specific embodiment of the present invention, the environmental parameter data includes the current temperature value, the current relative humidity, the current wind speed and the current wind direction; then the data features of the environmental parameter data extracted in step S102 include: Obtain the historical average temperature and the reference temperature value at the previous time point, take the difference between the current temperature value and the historical average temperature as the temperature difference, and take the ratio of the difference between the current temperature value and the reference temperature value to the time difference between the previous time point and the current time point as the temperature change rate; The relative humidity at the previous time point is obtained, and the humidity change trend is determined based on the magnitude relationship between the current relative humidity and the relative humidity and the corresponding relationship between the magnitude relationship and the humidity change trend.

[0048] Among them, the historical average temperature refers to the average temperature within multiple historical time windows.

[0049] Specifically, the temperature difference for:

[0050] In the formula, is the current temperature value; The historical average temperature.

[0051] Temperature change rate for:

[0052] Where, is the temperature reference value at the previous time point.

[0053] It should be noted that the corresponding relationship between the size relationship and the humidity change trend value is specifically: when the current relative humidity is greater than the relative humidity, the humidity change trend value is 1, indicating an upward trend; when the current relative humidity is less than the relative humidity, the humidity change trend value is -1, indicating a downward trend; when the current relative humidity is equal to the relative humidity, the humidity change trend value is 0, indicating a stable state.

[0054] It should be understood that the alarm threshold adjustment model can be any deep learning model, such as a random forest model, a convolutional neural network model, and a support vector regression model.

[0055] Considering that the intrusion behavior identification of perimeter security requires a rapid response, therefore, in a preferred embodiment of the present invention, the alarm threshold adjustment model is a support vector regression model.

[0056] The support vector regression model has a small amount of data processing and can improve the generation time of the reference threshold, thereby ensuring the intrusion identification efficiency of perimeter security.

[0057] Among them, the basic principle of support vector regression is to find an optimal hyperplane in the high-dimensional feature space so that the hyperplane can fit the relationship between the input features in the training data (signal features of the vibration signal and data features of the environmental parameter data) and the output target (reference threshold) as accurately as possible.

[0058] Specifically, for a given training dataset , ,in is the input feature vector (including signal features and data features), is the corresponding reference threshold. The optimization problem of support vector regression can be expressed as: , The constraints are:

[0059] in, is the weight vector and b is the bias term, which is usually determined by quadratic programming.

[0060] and They are all slack variables, which are used to allow a certain degree of error. They will be adjusted according to the data fit and other parameters during the optimization process. Specifically, when the sample point is far away from the optimal hyperplane, the value of the slack variable may be larger to allow the model to have a larger error at this point.

[0061] C is a penalty parameter that controls the complexity of the model and the tolerance to errors. The appropriate C value is usually determined by cross-validation, grid search, etc. For example, you can try different C values ​​within a certain range, and then select the best C based on the performance of the model on the validation set.

[0062] is the insensitive loss parameter, which determines the insensitive area of ​​the model to the error. It can also be determined by cross-validation, grid search or experience. If you have a higher tolerance for errors, you can choose a larger If the tolerance for error is low, a smaller value can be selected. value.

[0063] After determining the reference threshold, in some embodiments of the present invention, Figure 3 As shown, the method for adjusting the vibration optical fiber alarm threshold also includes: S301, obtaining perimeter alarm information based on a reference threshold; the perimeter alarm information includes the time when the abnormality occurred, the location where the abnormality occurred, and the cause of the abnormality; S302: Optimize the alarm threshold adjustment model based on the abnormality occurrence time, abnormality occurrence location and abnormality cause to obtain an optimized threshold adjustment model, and generate an adjusted alarm threshold based on the optimized threshold adjustment model.

[0064] The embodiment of the present invention records the detailed content of the perimeter alarm information and optimizes the alarm threshold adjustment model based on the time, location and cause of the abnormality. It can set more reasonable alarm thresholds for different areas, different times and different environments, thereby improving the accuracy and applicability of the determined adjusted alarm thresholds.

[0065] Among them, step S302 is specifically: taking the abnormality occurrence time, abnormality occurrence location and abnormality cause as semantic features, merging the semantic features with signal features and data features, and training the alarm threshold adjustment model together to obtain an optimized threshold adjustment model.

[0066] It should be understood that when an alarm occurs at the perimeter, the alarm methods include but are not limited to sound and light alarms, text message notifications, and sending alarm signals to the monitoring center to alert staff.

[0067] In order to better implement the method for adjusting the vibration optical fiber alarm threshold in the embodiment of the present invention, based on the method for adjusting the vibration optical fiber alarm threshold, the embodiment of the present invention also provides a device for adjusting the vibration optical fiber alarm threshold, such as Figure 4 As shown, the vibration optical fiber alarm threshold adjustment device 400 includes: A data acquisition unit 401 is used to acquire vibration signals and environmental parameter data collected based on vibration optical fiber sensors and environmental sensors installed on the perimeter; A data feature extraction unit 402 is used to extract signal features of the vibration signal and data features of the environmental parameter data; A reference threshold determination unit 403, configured to input the signal characteristics and the data characteristics into the alarm threshold adjustment model to obtain a reference threshold; The threshold value adjustment unit 404 is used to obtain the current threshold value of the vibrating optical fiber and adjust the current threshold value of the vibrating optical fiber to the reference threshold value.

[0068] The vibration optical fiber alarm threshold adjustment device 400 provided in the above embodiment can implement the technical solution described in the above embodiment of the vibration optical fiber alarm threshold adjustment method. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the vibration optical fiber alarm threshold adjustment method, which will not be repeated here.

[0069] like Figure 5 As shown, the present invention also provides a perimeter security device 500. The perimeter security device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some of the components of the perimeter security device 500 are shown, but it should be understood that implementation of all of the components shown is not a requirement, and more or fewer components may be implemented instead.

[0070] In some embodiments, the processor 501 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 502, such as the method for adjusting the vibration optical fiber alarm threshold in the present invention.

[0071] In some embodiments of the present invention, processor 501 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0072] In some embodiments, the memory 502 may be an internal storage unit of the perimeter security device 500, such as a hard disk or memory of the perimeter security device 500. In other embodiments, the memory 502 may also be an external storage device of the perimeter security device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the perimeter security device 500.

[0073] Furthermore, the memory 502 may include both an internal storage unit of the perimeter security device 500 and an external storage device. The memory 502 is used to store application software for installing the perimeter security device 500 and various data.

[0074] In some embodiments, the display 503 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 503 is used to display information of the perimeter security device 500 and to display a visual user interface. The components 501-503 of the perimeter security device 500 communicate with each other via a system bus.

[0075] In some embodiments of the present invention, when the processor 501 executes the adjustment program of the vibration optical fiber alarm threshold in the memory 502, the following steps may be implemented: Acquire vibration signals and environmental parameter data collected by vibration optical fiber sensors and environmental sensors installed on the perimeter; Extracting signal features of vibration signals and data features of environmental parameter data; Inputting the signal characteristics and data characteristics into the alarm threshold adjustment model to obtain a reference threshold; Get the current threshold of the vibrating fiber and adjust the current threshold of the vibrating fiber to the reference threshold.

[0076] It should be understood that: when the processor 501 executes the vibration optical fiber alarm threshold adjustment program in the memory 502, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0077] Furthermore, the embodiment of the present invention does not specifically limit the type of the perimeter security device 500 mentioned. The perimeter security device 500 may be a portable perimeter security device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable perimeter security devices include but are not limited to portable perimeter security devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable perimeter security device may also be other portable perimeter security devices. It should also be understood that in some other embodiments of the present invention, the perimeter security device 500 may not be a portable perimeter security device, but a desktop computer with a touch-sensitive surface (such as a touch panel).

[0078] Correspondingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the method for adjusting the vibration optical fiber alarm threshold provided in the above-mentioned method embodiments.

[0079] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0080] The above is a detailed introduction to the method, device, equipment and storage medium for adjusting the vibration optical fiber alarm threshold provided by the present invention. 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 method for adjusting the alarm threshold of a vibration optical fiber, characterized in that: include: Acquire vibration signals and environmental parameter data collected by vibration optical fiber sensors and environmental sensors installed on the perimeter; Extracting signal features of the vibration signal and data features of the environmental parameter data; Inputting the signal feature and the data feature into an alarm threshold adjustment model to obtain a reference threshold; Obtain a current threshold value of the vibrating optical fiber, and adjust the current threshold value of the vibrating optical fiber to the reference threshold value.

2. The method for adjusting the vibration optical fiber alarm threshold according to claim 1, characterized in that: The signal features include time domain features and frequency domain features. The time domain features include amplitude mean, amplitude standard deviation, amplitude peak and zero-crossing rate; the frequency domain features include spectrum energy distribution and main frequency.

3. The method for adjusting the vibration optical fiber alarm threshold according to claim 2, characterized in that: The vibration signal includes a plurality of vibration sub-signals corresponding to a plurality of sampling points one by one; and extracting the signal feature of the vibration signal includes: Determine a plurality of amplitudes of the plurality of vibrator signals, and determine the amplitude mean, the amplitude standard deviation, the amplitude peak, and the zero-crossing rate based on the plurality of amplitudes; Performing a fast Fourier transform on the vibration signal to obtain a frequency domain signal; the frequency domain signal includes a plurality of frequency domain sub-signals corresponding to a plurality of frequencies one by one; Determine the spectrum energy proportion of each frequency domain sub-signal and the target frequency with the largest frequency energy proportion; use the frequency energy proportion of the multiple frequency domain sub-signals as the spectrum energy distribution, and use the target frequency as the main frequency.

4. The method for adjusting the vibration optical fiber alarm threshold according to claim 1, characterized in that: The data features include temperature features, humidity features and wind speed features. The temperature features include temperature difference and temperature change rate; the humidity features include relative humidity and humidity change trend value; the wind speed features include wind speed value and the angle between wind direction and vibration optical fiber sensor.

5. The method for adjusting the vibration optical fiber alarm threshold according to claim 4, characterized in that: The environmental parameter data includes the current temperature value, the current relative humidity, the current wind speed and the current wind direction; then extracting the data features of the environmental parameter data includes: Obtaining a historical average temperature and a reference temperature value at a previous time point, taking a difference between the current temperature value and the historical average temperature as the temperature difference, and taking a ratio of a difference between the current temperature value and the reference temperature value to a time difference between the previous time point and the current time point as the temperature change rate; The relative humidity at the last time point is obtained, and the humidity change trend value is determined based on the magnitude relationship between the current relative humidity and the relative humidity and the corresponding relationship between the magnitude relationship and the humidity change trend value.

6. The method for adjusting the vibration optical fiber alarm threshold according to claim 1, characterized in that: The alarm threshold adjustment model is a support vector regression model.

7. The method for adjusting the vibration optical fiber alarm threshold according to claim 1, characterized in that: The method further comprises: Acquire perimeter alarm information based on the reference threshold; the perimeter alarm information includes the time when the abnormality occurred, the location where the abnormality occurred and the cause of the abnormality; The alarm threshold adjustment model is optimized based on the abnormality occurrence time, the abnormality occurrence location and the abnormality cause to obtain an optimized threshold adjustment model, and an adjusted alarm threshold is generated based on the optimized threshold adjustment model.

8. A device for adjusting the alarm threshold of a vibration optical fiber, characterized in that: include: A data acquisition unit, used to acquire vibration signals and environmental parameter data collected based on vibration optical fiber sensors and environmental sensors installed on the perimeter; A data feature extraction unit, used to extract the signal feature of the vibration signal and the data feature of the environmental parameter data; A reference threshold determination unit, used for inputting the signal feature and the data feature into an alarm threshold adjustment model to obtain a reference threshold; The threshold value adjustment unit is used to obtain the current threshold value of the vibrating optical fiber and adjust the current threshold value of the vibrating optical fiber to the reference threshold value.

9. A perimeter security device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for adjusting the vibration optical fiber alarm threshold as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the method for adjusting the vibration optical fiber alarm threshold value as described in any one of claims 1 to 7.

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