Stress fence monitoring method, system and device, storage medium and program product

Abstract

The invention discloses a stress fence monitoring method, which comprises the steps of judging a current environmental condition, if a stress fence is in a first environmental condition, performing monitoring based on a preset anomaly recognition model, and outputting alarm information when it is detected that processed data exceed a preset threshold value; if the stress fence is in the second environment condition, the preset threshold value is adjusted, the abnormity identification model carries out monitoring based on the adjusted threshold value, and when it is detected that the processed data exceed the adjusted threshold value, alarm information is output. The invention also discloses a stress fence monitoring system, electronic equipment, a readable storage medium and a computer program product. The method has the advantages that the real-time change of the fence can be accurately monitored, abnormal conditions can be found in time, the environmental adaptability is high, and missing report and wrong report of stress change data in a complex environment are avoided.

Description

Technical Field

[0001] This invention relates to the field of stress fence technology, and in particular to a stress fence monitoring method, system, electronic device, and readable storage medium. Background Technology

[0002] Traditional perimeter security monitoring systems often rely on regular manual inspections or simple sensors. However, manual inspections are not only inefficient but also susceptible to subjective factors, making it difficult to detect subtle yet critical stress changes in a timely manner. Simple sensor monitoring can only acquire basic data, lacking in-depth data mining and intelligent analysis, and cannot provide true and accurate stress data in complex environments. Summary of the Invention

[0003] The technical problem to be solved by the embodiments of the present invention is to provide a stress fence monitoring method, system, electronic device, readable storage medium and computer program product, which can accurately monitor the real-time changes of the fence, detect abnormalities in a timely manner, have strong environmental adaptability and can provide reliable stress change data in complex environments.

[0004] To address the aforementioned technical problems, this invention provides a stress fence monitoring method, comprising: Acquire and process the stress data of the stress fence to obtain the processed data; The system determines the current environmental conditions. If the stress fence is under a first environmental condition, it monitors the data based on a preset anomaly detection model. If the processed data exceeds a preset threshold, an alarm message is output. If the stress fence is under a second environmental condition, the preset threshold is adjusted. The anomaly detection model monitors the data based on the adjusted threshold. If the processed data exceeds the adjusted threshold, an alarm message is output.

[0005] In one feasible implementation, the monitoring method further includes, The processed data and the monitoring results of the anomaly identification model are analyzed and predicted based on the time series model, and the stress change curve of the stress fence within a set time period is output.

[0006] In one feasible implementation, the acquisition and processing of stress data from the stress fence includes, An electrical signal was detected generated by the displacement of the mesh in the stress fence; The electrical signal is amplified and filtered to obtain the processed data.

[0007] In one feasible implementation, the first environmental condition includes a first temperature M1 and a first wind speed N1. , ; The second environmental condition includes a second temperature M2 and a second wind speed N2. or , .

[0008] In one feasible implementation, if the stress barrier is under a second environmental condition, then the preset threshold is adjusted, including... A mapping table between temperature and deformation is obtained based on historical temperature data and the deformation of the stress fence mesh. The effective triggering variables are calculated based on the mapping table, and the preset threshold is adjusted based on the effective triggering variables to obtain the adjusted threshold.

[0009] In one feasible implementation, if the stress barrier is under a second environmental condition, then the preset threshold is adjusted, including... Real-time wind speed data is obtained from external wind speed detectors or meteorological data interfaces; If the wind speed data is detected to exceed the set value, the preset threshold is adjusted based on time-domain filtering and frequency-domain analysis to obtain the adjusted threshold.

[0010] Accordingly, the present invention also provides a stress fence monitoring system, comprising, The data acquisition module is used to collect and process the stress data of the stress fence to obtain the processed data. The data analysis module monitors the stress fence based on a preset anomaly identification model if the stress fence is under a first environmental condition, and outputs an alarm message if the processed data exceeds a preset threshold. If the stress fence is under a second environmental condition, the preset threshold is adjusted, and the anomaly identification model monitors the data based on the adjusted threshold. If the processed data exceeds the adjusted threshold, an alarm message is output.

[0011] Accordingly, the present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the steps of the stress fence monitoring method.

[0012] Accordingly, the present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, is used to implement the steps of the stress fence monitoring method.

[0013] Accordingly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the stress fence monitoring method.

[0014] Implementing this invention has the following beneficial effects: It can accurately monitor real-time changes in the fence, promptly detect abnormalities, has strong environmental adaptability, and avoids missing or incorrect reporting of stress change data in complex environments.

[0015] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.

[0017] Figure 1 This is a flowchart illustrating the steps of the stress fence monitoring method of the present invention; Figure 2 This is a flowchart illustrating the steps of processing stress data for a stress fence according to the present invention; Figure 3 This is a flowchart illustrating the steps of adjusting a preset threshold under a second environmental condition in one embodiment of the present invention; Figure 4 This is a flowchart illustrating the steps of adjusting a preset threshold under a second environmental condition in another embodiment of the present invention; Figure 5 This is a schematic diagram of the stress fence monitoring system of the present invention; Figure 6 This is a structural schematic diagram of the stress fence of the present invention. Detailed Implementation

[0018] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] It should be noted that when a component is said to be "fixed to" another component, it can be directly attached to the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] This invention provides a method for monitoring stress barriers, such as... Figure 1 As shown, including, Step S100: Obtain and process the stress data of the stress fence to obtain the processed data; Step S200: Determine the current environmental conditions. If the stress fence is under the first environmental condition, monitor it based on the preset anomaly identification model. If the processed data exceeds the preset threshold, output an alarm message. If the stress fence is under the second environmental condition, adjust the preset threshold. The anomaly identification model monitors it based on the adjusted threshold. If the processed data exceeds the adjusted threshold, output an alarm message.

[0022] Specifically, the present invention provides a stress fence monitoring method that can change the threshold of the anomaly identification model for different environments, accurately monitor the real-time changes of the fence, detect anomalies in a timely manner, has strong environmental adaptability, and can provide reliable stress change data in complex environments.

[0023] In one feasible implementation, the monitoring method also includes, Step S300: Analyze and predict the processed data and the monitoring results of the anomaly identification model based on the time series model, and output the stress change curve of the stress fence within the set time period.

[0024] Specifically, LSTM or ARIMA algorithms are used to train processed data (such as stress changes over the past 7 days and alarm records) to establish a trend prediction model, generating stress change curves for the next 24-48 hours. This allows for early prediction of stress anomalies at their initial stage, shortening response time compared to traditional post-event alarms. Maintenance plans can be optimized using trend curves; for example, proactively scheduling maintenance when it is predicted that deformation in a certain area will exceed a threshold.

[0025] Time series algorithms can capture the periodic and trend characteristics of stress changes (such as regular deformation caused by daily temperature differences) and identify potential anomalies through historical data patterns.

[0026] In a feasible implementation, refer to Figure 2 , Figure 6 Acquire and process stress data from stress barriers, including... Step S101: An electrical signal is detected generated by the displacement of the mesh 200 in the stress fence; Step S102: The electrical signal is amplified and filtered to obtain the processed data.

[0027] Specifically, the stress fence includes at least one mesh panel 200 and at least one post 100 fixed to the mesh panel 200. Constantan wire (stress wire) is uniformly laid on the surface of the mesh panel 200 in an S-shape. Both ends of the constantan wire extend out of the mesh panel 200 and are fixed by insulating terminals to form a sensing network. The constantan wire is made of 0.12mm-0.20mm nickel-copper alloy wire, embedded into the surface of the mesh panel 200 through a special process, and after powder coating, forms an integrated structure with the mesh panel 200, enhancing the overall structural stability of the system, effectively resisting external environmental corrosion, and extending the service life of the equipment.

[0028] More specifically, when the mesh 200 undergoes a displacement of 5mm-7mm (corresponding to a local deformation rate of 0.1%-0.15%), the resistance change rate of the constantan wire reaches 0.1%-0.3%, which is converted into a 1mV-3mV voltage signal through a Wheatstone bridge. Then, the signal is processed by the data processing unit located inside the column 100. The signal conditioning circuit includes amplification and filtering modules to amplify the weak 1mV-3mV signal to the 0V-5V standard level, while eliminating high-frequency noise through an RC filter circuit (cutoff frequency 100Hz).

[0029] Then, the MCU controller uses a low-power ARM chip (such as the STM32 series) to perform A / D conversion (16-bit precision) and preliminary data processing to obtain the processed data.

[0030] A four-core shielded cable is pre-embedded and connected to the constantan wire of the mesh. Four-wire differential acquisition is used to eliminate the influence of temperature drift, and a hardware filtering circuit (100ms delay trigger) is configured to filter high-frequency interference. A PT100 sensor (accuracy ±0.5℃) is used simultaneously to collect ambient temperature for the temperature compensation algorithm described below.

[0031] The design of separating the stress sensing unit and the data processing unit enables modular production of the mesh (no secondary processing is required after powder coating), and the column unit can be maintained independently, which greatly improves production efficiency and system reliability.

[0032] In one feasible implementation, the first environmental conditions include a first temperature M1 and a first wind speed N1. , ; The second environmental conditions include the second temperature M2 and the second wind speed N2. or , .

[0033] Specifically, , When N1 is less than or equal to level 5 wind speed, M1 can be... , , , The above temperature conditions have little impact on fence deformation, so a fixed threshold can be used; or , That is, N2 is greater than level 5 and less than or equal to level 8, where M2 can be... , , , , , , The above-mentioned temperature environment has a significant impact on fence deformation, and the threshold needs to be dynamically adjusted.

[0034] By automatically switching monitoring strategies using quantitative indicators (temperature, wind speed), false alarms and missed alarms caused by a "one-size-fits-all" approach are avoided. Complex dynamic compensation algorithms are only activated under extreme conditions, reducing computational resource consumption under normal conditions.

[0035] In a feasible implementation, refer to Figure 3 If the stress barrier is under the second environmental condition, then adjust the preset threshold, including... Step S201A: Obtain a mapping table between temperature and deformation based on historical temperature data and the deformation of the stress fence mesh. Step S202A: Calculate the effective triggering deformation based on the mapping table, and adjust the preset threshold based on the effective triggering deformation to obtain the adjusted threshold.

[0036] Specifically, a "temperature-mesh deformation" mapping table is established by collecting the constantan wire resistance value and ambient temperature in real time. Based on the free expansion deformation of the mesh corresponding to the temperature, the effective trigger deformation (excluding free expansion caused by temperature) is calculated, and the alarm threshold is dynamically adjusted, such as raising the threshold at high temperatures and lowering the threshold at low temperatures.

[0037] In a feasible implementation, refer to Figure 4 If the stress barrier is under the second environmental condition, then adjust the preset threshold, including... Step S201B: Obtain real-time wind speed data based on an external wind speed detector or meteorological data interface; Step S202B: If the wind speed data exceeds the set value, adjust the preset threshold based on time domain filtering and frequency domain analysis to obtain the adjusted threshold.

[0038] Specifically, real-time wind speed is obtained through an ultrasonic anemometer (accuracy ±0.1m / s) or a meteorological API. When a speed >10.7m / s is detected, time-domain filtering is activated, extending the duration of the trigger signal from 0.5s to 2s to filter out gust interference. Frequency-domain analysis uses an FFT algorithm to extract the signal frequency and eliminate periodic interference with the same frequency as the wind speed. The trigger displacement is temporarily increased to 8mm-10mm, and automatically recovers after the wind speed decreases.

[0039] In wind conditions of force 7-8, the false alarm rate decreased from 75% to below 5%, while maintaining the ability to identify human climbing (continuous deformation > 8 mm).

[0040] Natural wind-induced fence vibrations have a fixed frequency (positively correlated with wind speed) and a short duration, while human intrusion (such as climbing) will produce continuous non-periodic deformation. By filtering out wind frequency signals through FFT and combining time-domain extension triggering conditions, real intrusions can be accurately identified.

[0041] Accordingly, the present invention also provides a stress fence monitoring system, with reference to Figure 5 ,include, Data acquisition module 10 is used to acquire and process the stress data of the stress fence to obtain the processed data; The data analysis module 30 monitors the processed data based on a preset anomaly identification model under the first environmental condition. If the processed data exceeds a preset threshold, an alarm message is output. Under the second environmental condition, the preset threshold is adjusted based on the environmental data around the stress fence to obtain an adjusted threshold. The anomaly identification model monitors based on the adjusted threshold until the stress fence returns to the first environmental condition. At this point, the anomaly identification model monitors based on the preset threshold.

[0042] Specifically, a network transmission module 20 is provided between the data acquisition module 10 and the data analysis module 30. The network transmission module 20 adopts an RS485 bus to realize data aggregation between the 100 columns. The network transmission module 20 integrates a 5G / NB-IoT module to encrypt and transmit the processed data to the data analysis module 30 (in the cloud, where data can be stored for more than 3 years). The data analysis module 30 sends alarm information to the user terminal 40 (which can be a computer or a mobile phone software).

[0043] The stress barrier monitoring system of this application can monitor Maintain an alarm accuracy rate of ≥95% within a temperature range and under wind conditions of ≤8.

[0044] By utilizing the displacement of constantan lines, the accuracy of data acquisition and analysis is improved, false alarms and missed alarms are reduced, abnormal locations are accurately located, and real-time monitoring of the stress fence status is achieved. The data update frequency can reach the second level, which can promptly capture any minute stress changes and support rapid response.

[0045] The intelligent early warning function based on big data analysis and machine learning models can predict potential security risks in advance, giving maintenance personnel more time to handle them and effectively reducing the probability of security incidents.

[0046] In-depth analysis of a large amount of historical data can not only provide a basis for the current fence status assessment, but also provide data support and decision-making reference for subsequent fence design optimization and maintenance strategy formulation, thereby improving the overall management level of industrial facilities.

[0047] To address extreme temperatures and strong winds, the system's stability and reliability are significantly improved in complex environments by dynamically adjusting alarm thresholds and filtering algorithms.

[0048] The integrated powder coating process of the constantan wire and mesh 200, as well as the design of integrating the sensor into the column 100, enhances the overall structural stability of the system, effectively resists external environmental erosion, and extends the service life of the equipment.

[0049] Accordingly, the present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the steps of the stress fence monitoring method.

[0050] The memory is used to store computer programs, and the memory can also be flash memory. The computer program is, for example, a program that implements the aforementioned process safety monitoring method.

[0051] A processor is used to execute a computer program stored in memory to implement the various steps performed by the device in the above method. See the relevant descriptions in the preceding method embodiments for details.

[0052] Alternatively, the memory can be either standalone or integrated with the processor.

[0053] When the memory is a device independent of the processor, the device may also include: A bus is used to connect memory and processor.

[0054] Accordingly, the present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, is used to implement the steps of the stress fence monitoring method.

[0055] The readable storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transfer of computer programs from one place to another. A computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0056] For example, a readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. The readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the ASIC can be located within a user equipment. The processor and the readable storage medium can also exist as discrete components in a communication device. The readable storage medium can be a read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0057] Accordingly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of a stress fence monitoring method. At least one processor of the device can read the execution instructions from a readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided in the various embodiments described above.

[0058] In the embodiments of the above-described device, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0059] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0060] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A method for monitoring stress barriers, characterized in that, include, Acquire and process the stress data of the stress fence to obtain the processed data; The current environmental conditions are determined. If the stress fence is under the first environmental condition, monitoring is performed based on a preset anomaly identification model. If the processed data is detected to exceed a preset threshold, an alarm message is output. If the stress fence is under the second environmental condition, the preset threshold is adjusted, and the anomaly identification model monitors based on the adjusted threshold. If the processed data exceeds the adjusted threshold, an alarm message is output.

2. The stress fence monitoring method according to claim 1, characterized in that, The monitoring method also includes, The processed data and the monitoring results of the anomaly identification model are analyzed and predicted based on the time series model, and the stress change curve of the stress fence within a set time period is output.

3. The stress fence monitoring method according to claim 1, characterized in that, The process of acquiring and processing the stress data of the stress fence includes, An electrical signal was detected generated by the displacement of the mesh in the stress fence; The electrical signal is amplified and filtered to obtain the processed data.

4. The stress fence monitoring method according to claim 1, characterized in that, The first environmental conditions include a first temperature M1 and a first wind speed N1. , ; The second environmental condition includes a second temperature M2 and a second wind speed N2. or , .

5. The stress fence monitoring method according to claim 1, characterized in that, If the stress barrier is under the second environmental condition, then the preset threshold is adjusted, including: A mapping table between temperature and deformation is obtained based on historical temperature data and the deformation of the stress fence mesh. The effective triggering variables are calculated based on the mapping table, and the preset threshold is adjusted based on the effective triggering variables to obtain the adjusted threshold.

6. The stress fence monitoring method according to claim 1, characterized in that, If the stress barrier is under the second environmental condition, then the preset threshold is adjusted, including: Real-time wind speed data is obtained from external wind speed detectors or meteorological data interfaces; If the wind speed data is detected to exceed the set value, the preset threshold is adjusted based on time-domain filtering and frequency-domain analysis to obtain the adjusted threshold.

7. A stress fence monitoring system, characterized in that, include, The data acquisition module is used to collect and process the stress data of the stress fence to obtain the processed data. The data analysis module monitors the stress fence based on a preset anomaly identification model if the stress fence is under the first environmental condition. If the processed data exceeds a preset threshold, an alarm message is output. If the stress fence is under the second environmental condition, the preset threshold is adjusted, and the anomaly identification model monitors based on the adjusted threshold. If the processed data exceeds the adjusted threshold, an alarm message is output.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor runs the computer program stored in the memory, the processor performs the steps of the stress fence monitoring method as described in any one of claims 1 to 6.

9. A readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it is used to implement the steps of the stress fence monitoring method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the stress fence monitoring method as described in any one of claims 1 to 6.

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