Outdoor high-voltage test area alarm device and method based on infrared electronic fence array

Abstract

The invention discloses an outdoor high-voltage test area alarm device and method based on an infrared electronic fence array. The device comprises a multi-source sensing module, a tester state monitoring module, a dynamic calculation module, an intelligent execution module and a cloud collaboration platform. The multi-source sensing module realizes area monitoring through an infrared laser grid array, a visual camera array and an environment sensing unit; the state monitoring module is integrated with wearable equipment to collect heart rate, oxyhemoglobin saturation and posture data of a tester in real time; the dynamic safety calculation module fuses environmental parameters and physiological indexes based on a PSO-SVR model and adopts a dynamic safety distance formula to realize fence boundary real-time adjustment; the intelligent execution module triggers multi-level response according to the risk level, wherein the multi-level response comprises acousto-optic early warning, directional expelling and dual-redundancy power supply cut-off; and the cloud platform generates an electric field distribution diagram and encrypts and stores an evidence through the block chain. The method achieves the dynamic optimization of the safety distance, improves the accident response speed, and effectively guarantees the safety of personnel in a high-voltage test region.

Description

Technical Field

[0001] This invention belongs to the field of power safety technology, specifically relating to an outdoor high-voltage test area alarm device and method based on an infrared electronic fence array. Technical Background In outdoor high-voltage testing scenarios within the power industry, such as commissioning tests of newly built substations and maintenance tests of operating substations, the test areas typically involve high voltage and extensive contact surfaces, while also presenting heavy workloads. Furthermore, overlapping infrastructure work is common, requiring high-voltage testing personnel to not only focus on the test itself but also constantly guard against unauthorized personnel or vehicles entering hazardous areas. This increases their mental burden and makes them prone to fatigue. Fatigue can lead to operational errors, such as accidentally increasing the voltage or failing to promptly detect unauthorized personnel or vehicles entering the area, significantly increasing safety risks.

[0002] Traditional high-voltage testing safety measures primarily rely on setting up physical fences or warning lines, hanging warning signs, and assigning dedicated personnel for on-site monitoring to prevent unauthorized personnel from entering dangerous areas. However, these traditional methods have significant limitations. First, physical fences and warning lines have limited interception effectiveness and relatively insufficient warning function, failing to effectively prevent personnel from accidentally entering dangerous areas. Second, on-site monitoring requires a large investment of manpower, and the monitoring personnel themselves may experience fatigue due to prolonged work, affecting the monitoring effectiveness. Furthermore, traditional warning zones often need to be set up much larger than the actual safe distance, which not only wastes resources but may also cause unnecessary interference with normal operations. More importantly, traditional safety measures cannot be quickly linked to the working status of high-voltage testing operators, making it difficult to break the accident chain in the event of an accident, thus failing to effectively reduce the risk of accidents. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings and deficiencies of existing technologies and provide an outdoor high-voltage test area alarm device based on an infrared electronic fence array. This device uses a multi-source sensing module and a personnel status monitoring module to record the coordinates of intruders in real time, collect personnel status data, and transmit the data to downstream modules. A dynamic calculation module, based on a PSO-SVR model, integrates environmental parameters and physiological indicators, and uses a dynamic safety distance formula to achieve real-time adjustment of the fence boundary. An intelligent execution module triggers multi-level responses based on risk levels, including audible and visual warnings, directional deterrence, and dual redundant power supply disconnection. A cloud platform generates an electric field distribution map and stores it using blockchain encryption.

[0004] The solution of the present invention to the above-mentioned technical problems is as follows: An outdoor high-voltage test area alarm device based on an infrared electronic fence array, comprising a multi-source sensing module, a test personnel status monitoring module, a dynamic calculation module, and an intelligent execution module: The multi-source sensing module is used to identify intruders, locate their coordinates, acquire environmental parameters of the target high-pressure test area perimeter, and transmit them to the dynamic calculation module and intelligent execution module. The test personnel status monitoring module is worn on the test personnel's body surface and is used to collect the test personnel's physiological parameters, identify the test personnel's body posture, locate the test personnel's coordinates and record the test personnel's movement trajectory, and transmit the data to the dynamic calculation module and the intelligent execution module; The dynamic calculation module is used to obtain the fatigue level and dynamic safety distance of the test personnel based on the data transmitted between the multi-source sensing module and the test personnel status monitoring module. Based on the dynamic safety distance and the current deployment coordinates of the multi-source sensing module, the module updates the deployment coordinates of the multi-source sensing module and transmits the data to the intelligent execution module. The intelligent execution module is used to acquire basic geographic coordinate information and three-dimensional point cloud data of the target high-voltage test area, construct the initial topology of the perimeter of the target high-voltage test area, and initially deploy multi-source sensing modules. Based on the deployment coordinates transmitted by the dynamic calculation module, it dynamically adjusts the deployment route of the multi-source sensing modules. Based on the data transmitted between the multi-source sensing modules and the test personnel status monitoring module, it determines the degree of intrusion of the intruders and executes the set response strategy accordingly in combination with the test personnel fatigue data transmitted by the dynamic calculation module.

[0005] Preferably, the system further includes a cloud-based collaborative platform; The cloud-based collaborative platform is used to receive data from the multi-source sensing module, the personnel status monitoring module, the dynamic calculation module, and the intelligent execution module, and to generate an electric field intensity heat map and a trajectory prediction line for intruders. When abnormal vital signs are detected, it automatically pushes location information to the rescue platform.

[0006] Preferably, the multi-source sensing module includes an infrared electronic fence array, a visual monitoring array, and an environmental sensing unit; The infrared electronic fence array includes a laser beam grid covering the 850nm, 940nm, and 1550nm wavelength bands. This laser beam grid is distributed and mobile along the perimeter of the target high-voltage test area, used to warn intruders, locate their coordinates, and transmit data to a dynamic calculation module, an intelligent execution module, and a cloud-based collaborative platform. The three layers of laser beam grids in the infrared electronic fence array have adjustable wavelengths and a vertical layer spacing of 0.5m-2m, adjustable via servo motors. Each layer independently detects the height and position coordinates of intruders, with a spatial positioning accuracy ≤10cm.

[0007] The visual monitoring array includes multiple equally spaced cameras deployed at a 30° elevation angle around the perimeter of the target high-voltage test area. Each camera carries a BeiDou positioning system and integrates a facial feature recognition unit based on a convolutional neural network and a life recognition algorithm based on thermal radiation spectrum. It is used to identify the facial features and vital signs of intruders and transmit the data to a dynamic computing module, an intelligent execution module, and a cloud collaboration platform. The cameras achieve multi-view image frame-level alignment through a time synchronization protocol.

[0008] The environmental sensing unit includes multiple temperature and humidity sensors, an ultrasonic ranging array, and an electric field strength sensor group. The temperature and humidity sensor is used to acquire the temperature and humidity of the perimeter of the target high-pressure test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The ultrasonic ranging array is used to acquire the position coordinates of the test personnel, test equipment and intelligent execution module and transmit the data to the dynamic calculation module, intelligent execution module and cloud collaboration platform; The electric field strength sensor group is used to acquire the electric field strength at the perimeter of the target high-voltage test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The electric field strength sensor group is deployed in a distributed manner, moving at preset distances from the high-voltage test equipment towards the boundary. The electric field strength sensor group consists of 12-24 contact probes with a range of 0-100kV / m and a sampling frequency ≥1kHz.

[0009] The personnel status monitoring module includes a flexible photoelectric sensor array, a piezoelectric skin contact sensor, a thin-film temperature sensor group, a blood pressure monitoring unit, an inertial measurement unit, and a positioning unit; The flexible photoelectric sensor array includes a dual-wavelength LED light source (red and infrared light) and a photodetector. It is used to collect real-time heart rate and blood oxygen saturation of test subjects based on the reflective PPG principle and transmit the data to a dynamic calculation module, an intelligent execution module, and a cloud-based collaborative platform. The sampling frequency is ≥100Hz, and the accuracy reaches HR±1bpm and SpO2±2%. The piezoelectric skin contact sensor is integrated inside the wristband and is used to collect real-time heart rate variability parameters by measuring the micro-vibration signal of the test personnel's epidermis and transmit the data to the dynamic calculation module, intelligent execution module and cloud collaboration platform. The thin-film temperature sensor group is used to collect the real-time body surface temperature of the test personnel and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. Specifically, PT1000 platinum resistance elements are attached to the armpits and wrists of the test personnel to realize multi-point skin surface temperature detection (range 0-50℃, accuracy ±0.2℃), and environmental heat conduction error is eliminated through temperature gradient compensation algorithm. The blood pressure monitoring unit is used to collect the real-time blood pressure of the test subjects based on the oscillometric principle and the pulse wave conduction time (PTT) model, and transmit the data to the dynamic calculation module, the intelligent execution module, and the cloud collaboration platform. The inertial measurement unit integrates a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer. It is used to identify the posture of the test personnel and detect whether the test personnel have fallen through the Kalman filter fusion algorithm, and transmit the data to the dynamic calculation module, the intelligent execution module, and the cloud collaboration platform. The positioning component uses TDoA technology combined with the BeiDou positioning system to achieve an indoor positioning accuracy of ≤30cm. It is used to locate the coordinates of the test personnel and record their movement trajectory, and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform.

[0010] The dynamic calculation module includes a test personnel fatigue assessment module, a dynamic safety distance calculation module, and a dynamic deployment unit; The experimenter fatigue assessment module is used to assess the experimenter's fatigue level based on the experimenter's physiological parameters, identify the experimenter's posture, locate the experimenter's coordinates, record the experimenter's movement trajectory, and transmit the data to the intelligent execution module and cloud collaboration platform, as detailed below: The physiological parameters of the test subjects were collected and input into the trained SVR model based on the PSO algorithm to obtain the fatigue level of the test subjects (level 0-4).

[0011] The process of optimizing the SVR model training based on the PSO algorithm is as follows: Collect historical data on heart rate, blood oxygen saturation, and heart rate variability of test participants to generate standardized feature vectors. Assign corresponding fatigue level (0-4) labels to the standardized feature vector data to form training samples and test samples. The training samples are input into the SVR model optimized based on the PSO algorithm. After the test samples verify that the model meets the corresponding indicators, the training is complete.

[0012] The dynamic safety distance calculation module is used to obtain the dynamic safety distance based on the perimeter environmental parameters of the target high-pressure test area, the physiological parameters of the test personnel, the identification of the test personnel's body posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory. When biometric features are detected, the dynamic safety distance is automatically reduced in a gradient and the data is transmitted to the intelligent execution module and the cloud collaboration platform. Specifically, it includes: The expression for the dynamic safety distance is: , in, k ∈[0.8,1.2]、 n ∈[0.3,0.6]、 C∈[0.5,1.5] represents the fitting parameters based on finite element simulation and rod-plate discharge experiments; E real Let E be the real-time electric field strength in the target high-voltage test area, U be the voltage of the high-voltage test equipment, and E be the voltage of the high-voltage test equipment. threshold The safety threshold for the bioelectric field is set at 8kV / m. When biological features are detected, a 20% step adjustment mechanism is used to reduce the safety distance. A is the environmental humidity compensation factor, which is measured by a dew point sensor and has a value range of 0≤A≤5. F is the real-time fatigue level (0-0.8, corresponding to levels 0-4 according to the numerical ratio). α The fatigue compensation coefficient is 0.1-0.3.

[0013] The field strength correction coefficient k∈[0.8,1.2] was obtained through 50 sets of rod-plate electrode tests to determine the breakdown voltage distribution. The fitting error was ≤3%. It was calibrated in conjunction with finite element simulation to compensate for the field strength distortion effect caused by the electrode shape. The nonlinear exponent n∈[0.3,0.6] characterizes the nonlinear characteristics of the streamer-leader transition during the discharge development process. The environmental correction factor C∈[0.5,1.5] comprehensively considers the influence of environmental parameters such as atmospheric pressure and temperature gradient on the discharge characteristics. The calibration methods for parameters k, n, and C include: Construct two-dimensional electrostatic field models for rod-plate electrodes, plate-wire electrodes, etc. Based on the Weibull distribution, the breakdown probability curve is fitted, and the objective function is optimized as follows: , where λ=0.01 is the regularization coefficient; The regularized least squares method is used to optimize the coefficients k, n, and C of the formula.

[0014] Humidity compensation factor A∈[0,5], an exponential compensation model is established based on the real-time measurement value of the dew point temperature sensor: A=exp(-(T d -T0) / τ), where T d Here, T0 = 25℃ is the dew point temperature, T0 = 25℃ is the reference temperature, and τ = 5℃ is the temperature sensitivity coefficient. The real-time fatigue level F∈[0,0.8] (corresponding to physiological indicators of levels 0-4), the compensation coefficient α∈[0.1,0.3], and the dynamic threshold decay is performed using the product of F·α.

[0015] The dynamic deployment unit uses an FPGA chip to analyze the initial and current deployment coordinates of the multi-source sensor modules. Combined with the particle swarm optimization (PSO) algorithm, it optimizes the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental perception unit through dynamic safety distance (ensuring that the sensor blind zone is ≤0.1%) and sends them to the intelligent execution module.

[0016] The intelligent execution module includes an audible and visual alarm, a directional acoustic wave decoy unit, a high-voltage power cut-off unit, a motion execution unit, and a judicial evidence storage unit. The audible and visual alarm is used to activate a local audible and visual alert when the fatigue level of the test personnel meets the set range or when the detection range between the human body and the first layer of laser beam grid meets the set range. The directional acoustic wave decoy unit is used to issue a directional acoustic wave warning when the human body and the second layer of laser beam grid meet the set range. The high-voltage power cut-off unit includes a main / auxiliary dual redundant circuit breaker, which is used to limit or softly or hard cut off the circuit of the high-voltage equipment in the high-voltage test area when the intrusion distance L generated according to the coordinates of the intruder and the fatigue level of the test personnel are within different set ranges. The motion execution unit integrates a Beidou / GPS positioning system (accuracy ≤30cm), a nine-axis MEMS inertial measurement unit (IMU), a lidar, and a visual SLAM algorithm to obtain basic geographic coordinate information and three-dimensional point cloud data of the target high-pressure test area to construct the initial topology of the perimeter of the target high-pressure test area. It is equipped with a power and motion mechanism, an omnidirectional wheel chassis, a liftable support, and a servo motor. According to the initial topology, it initially deploys multi-source sensing modules and receives data transmitted by the dynamic computing module to dynamically adjust the deployment route of the multi-source sensing modules.

[0017] The judicial evidence storage unit is used to record the cutting-off timestamp of the high-voltage power supply cutting-off unit in the intelligent execution module, the circuit breaker status, the electric field strength of the target high-voltage test area perimeter transmitted by the multi-source sensing module, and the coordinate data of the intruder (and perform cross-modal hash binding, using SM2 / SM9 dual algorithm encryption) and synchronize them to the downstream judicial blockchain platform and cloud collaboration platform.

[0018] This invention also provides an alarm method for outdoor high-voltage test areas based on an infrared electronic fence array, comprising the following steps: The basic geographic coordinates and 3D point cloud data of the target high-voltage test area are obtained to construct the initial topology of the perimeter of the target high-voltage test area and initially deploy infrared electronic fence array, visual monitoring array, and environmental perception unit. The infrared electronic fence array, visual monitoring array, and environmental perception unit are used to identify intruders, locate the coordinates of intruders, and obtain the environmental parameters of the perimeter of the target high-voltage test area. Collect physiological parameters of test subjects, identify their body posture, locate their coordinates, record their movement trajectory, and assess their fatigue level; Based on the perimeter environmental parameters of the target high-voltage test area, the physiological parameters of the test personnel, the identification of the test personnel's body posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory, the fatigue level and dynamic safety distance of the test personnel are obtained. Based on the dynamic safety distance and the analysis of the current infrared electronic fence array, visual monitoring array, and environmental perception unit, the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental perception unit are updated. The response strategy is set based on the degree of intrusion by the intruder and the fatigue level of the test personnel, and the intruder-related data is stored as evidence in the judicial system.

[0019] Preferably, the method further includes: An electric field intensity heat map is generated based on the electric field intensity at the perimeter of the high-voltage test area. A trajectory prediction line for the intruder is generated based on the coordinate data of the intruder. When abnormal vital signs are detected, the location information is automatically pushed to the rescue platform.

[0020] Preferably, the steps of collecting physiological parameters of the test subjects, identifying the body posture of the test subjects, locating the coordinates of the test subjects, recording the movement trajectory of the test subjects, and assessing the fatigue level of the test subjects include: The physiological parameters of the test subjects were collected and input into the trained SVR model based on the PSO algorithm to obtain the fatigue level (0-4).

[0021] The process of optimizing the SVR model training based on the PSO algorithm is as follows: Collect historical data on heart rate, blood oxygen saturation, and heart rate variability of test participants to generate standardized feature vectors. Assign corresponding fatigue level (0-4) labels to the standardized feature vector data to form training samples and test samples. The training samples are input into the SVR model optimized based on the PSO algorithm. After the test samples verify that the model meets the corresponding indicators, the training is complete.

[0022] Preferably, the process of obtaining the dynamic safety distance based on the perimeter environmental parameters of the target high-pressure test area, the physiological parameters of the test personnel, identifying the body posture of the test personnel, locating the coordinates of the test personnel, and recording the movement trajectory of the test personnel includes: The expression for the dynamic safety distance is: , in, k ∈[0.8,1.2]、 n ∈[0.3,0.6]、 C ∈[0.5,1.5] represents the fitting parameters based on finite element simulation and rod-plate discharge experiments; E real Let E be the real-time electric field strength in the target high-voltage test area, U be the voltage of the high-voltage test equipment, and E be the voltage of the high-voltage test equipment. thresholdThe safety threshold for the bioelectric field is set at 8kV / m; when biological features are detected, a 20% step adjustment mechanism is used to reduce the safety distance; A is the environmental humidity compensation factor, which is measured by a dew point sensor and has a value range of 0≤A≤5; F is the real-time fatigue level (0-0.8, corresponding to level 0-4). α The fatigue compensation coefficient is 0.1-0.3.

[0023] The field strength correction coefficient k∈[0.8,1.2] was obtained through 50 sets of rod-plate electrode tests to determine the breakdown voltage distribution. The fitting error was ≤3%. It was calibrated in conjunction with finite element simulation to compensate for the field strength distortion effect caused by the electrode shape. The nonlinear exponent n∈[0.3,0.6] characterizes the nonlinear characteristics of the streamer-leader transition during the discharge development process. The environmental correction factor C∈[0.5,1.5] comprehensively considers the influence of environmental parameters such as atmospheric pressure and temperature gradient on the discharge characteristics. The calibration methods for parameters k, n, and C include: Construct two-dimensional electrostatic field models for rod-plate electrodes, plate-wire electrodes, etc. Based on the Weibull distribution, the breakdown probability curve is fitted, and the objective function is optimized as follows: , where λ=0.01 is the regularization coefficient; The regularized least squares method is used to optimize the coefficients k, n, and C of the formula.

[0024] Humidity compensation factor A∈[0,5], an exponential compensation model is established based on the real-time measurement value of the dew point temperature sensor: A=exp(-(T d -T0) / τ), where T d Here, T0 = 25℃ is the dew point temperature, T0 = 25℃ is the reference temperature, and τ = 5℃ is the temperature sensitivity coefficient. The real-time fatigue level F∈[0,0.8] (corresponding to physiological indicators of levels 0-4), the compensation coefficient α∈[0.1,0.3], and the dynamic threshold decay is performed using the product of F·α.

[0025] The present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of the outdoor high-voltage test area alarm method based on an infrared electronic fence array as described above.

[0026] The present invention also provides an electronic device, including a memory and a processor: the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, wherein when the computer-executable instructions are executed by the processor, the steps of the outdoor high-voltage test area alarm method based on infrared electronic fence array as described above are implemented.

[0027] The beneficial effects of this invention are as follows: 1. Significantly improved dynamic security protection capabilities By collecting data in real time through multi-source sensing modules and personnel status monitoring modules, the dynamic safety distance can be calculated in real time. Based on the dynamic safety distance, personnel status and environmental changes, the deployment position of multi-source sensing modules can be adjusted in real time. Compared with traditional fixed fences, the protected area can be reduced by 30%-50%, reducing resource waste and achieving non-intrusive warning. At the same time, it can trigger graded response measures according to the risk level, improve the response speed, and effectively break the accident chain.

[0028] 2. Real-time monitoring and early warning of personnel status. The experimenter status monitoring module acquires the experimenter's physiological parameters in real time, assesses the experimenter's fatigue level, and feeds the results back to the intelligent execution module. Based on the fatigue level classification, it automatically triggers an early warning and simultaneously activates the emergency positioning system, sending the location information to the emergency rescue platform to reduce the risk of accidents caused by personnel fatigue.

[0029] 3. Improve the flexibility of intelligent execution and optimized deployment. The system is equipped with autonomous navigation and path planning components in the motion execution unit, and uses BeiDou / GPS positioning system and nine-axis MEMS inertial measurement unit to correct the deployment trajectory of multi-source sensing modules in real time. The system also uses LiDAR and visual SLAM algorithm to build a map of the high-pressure test area, ensuring the system's mobility and flexibility.

[0030] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Specific embodiments of the present invention are given in detail below with reference to the accompanying drawings. Attached Figure Description

[0031] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a schematic diagram of an outdoor high-voltage test area alarm device module based on an infrared electronic fence array, provided in Example 1. Figure 2 This is a flowchart of the dynamic calculation module in Example 1. Detailed Implementation

[0032] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0033] Example 1 like Figure 1 As shown, this embodiment provides an outdoor high-voltage test area alarm device based on an infrared electronic fence array, which is deployed in a typical outdoor high-voltage test site (voltage level ≥ 500kV, test area radius 50m, ambient temperature -10℃~40℃). It includes a multi-source sensing module, a test personnel status monitoring module, a dynamic calculation module, an intelligent execution module, and a cloud collaboration platform.

[0034] The multi-source sensing module is used to identify intruders, locate their coordinates, acquire environmental parameters of the target high-voltage test area perimeter, and transmit them to the dynamic calculation module, intelligent execution module, and cloud-based collaborative platform. Specifically, it includes an infrared electronic fence array, a visual monitoring array, and an environmental perception unit, wherein: The infrared electronic fence array comprises a laser beam grid covering the 850nm, 940nm, and 1550nm wavelength bands. This laser beam grid is deployed in a distributed, mobile manner along the perimeter of the target high-voltage test area. It is used to warn intruders, locate their coordinates, and transmit data to a dynamic computing module, an intelligent execution module, and a cloud-based collaborative platform. The three layers of laser beam grid in the infrared electronic fence array have adjustable wavelengths, a power density ≤5mW / cm², and a vertical layer spacing of 0.5m-2m, adjustable via servo motors. Each layer independently detects the height and position coordinates of intruders, achieving a spatial positioning accuracy ≤10cm.

[0035] The visual monitoring array comprises four equally spaced 4K cameras (3840×2160@30fps, 1 / 1.8" CMOS, minimum illumination 0.0005Lux). The cameras are deployed at a 30° elevation angle around the perimeter of the target high-voltage test area. Each camera carries a BeiDou positioning system and integrates a facial feature recognition unit based on a convolutional neural network and a life recognition algorithm based on thermal radiation maps. It is used to identify the facial and vital signs of intruders and transmit the data to a dynamic computing module, an intelligent execution module, and a cloud-based collaborative platform. The cameras achieve frame-level alignment of multi-view images (time deviation ≤1μs) through a time synchronization protocol. The multi-view images are used for 3D reconstruction to generate a dense point cloud map of the test area.

[0036] The environmental sensing unit includes multiple temperature and humidity sensors, an ultrasonic ranging array, and an electric field strength sensor group; The temperature and humidity sensor is used to acquire the temperature and humidity of the perimeter of the target high-pressure test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The ultrasonic ranging array is used to acquire the position coordinates of the test personnel, test equipment and intelligent execution module and transmit the data to the dynamic calculation module, intelligent execution module and cloud collaboration platform; The electric field strength sensor array is used to acquire the electric field strength at the perimeter of the target high-voltage test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The electric field strength sensor array is deployed in a distributed manner, moving at preset intervals along the boundary from the high-voltage test equipment as the center. The electric field strength sensor array consists of 12 contact probes with a range of 0-100kV / m and a sampling frequency ≥1kHz.

[0037] The personnel status monitoring module, worn on the personnel's skin, is used to collect physiological parameters, identify the personnel's posture, locate the personnel's coordinates, and record the personnel's movement trajectory, and transmit the data to the dynamic calculation module and intelligent execution module; specifically, it includes a flexible photoelectric sensor array, a piezoelectric skin contact sensor, a thin-film temperature sensor group, a blood pressure monitoring unit, an inertial measurement unit, and a positioning unit, among which: A flexible photoelectric sensor array, including a dual-wavelength LED light source (red and infrared) and a photodetector, is used (based on the reflective PPG principle) to collect real-time heart rate and blood oxygen saturation data of test subjects and transmit the data to a dynamic calculation module, an intelligent execution module, and a cloud-based collaborative platform; (sampling frequency ≥100Hz, accuracy reaching HR±1bpm, SpO2±2%). A piezoelectric skin contact sensor, integrated inside the wristband, is used to collect real-time heart rate variability parameters by measuring the micro-vibration signals of the test personnel's epidermis and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. A thin-film temperature sensor array is used to collect real-time body surface temperature data from test subjects and transmit the data to a dynamic calculation module, an intelligent execution module, and a cloud-based collaborative platform. (Specifically, PT1000 platinum resistance elements are attached to the test subjects' armpits and wrists to achieve multi-point skin surface temperature detection (range 0-50℃, accuracy ±0.2℃, and environmental heat conduction errors are eliminated through a temperature gradient compensation algorithm). The blood pressure monitoring unit is used to collect real-time blood pressure data of test subjects by combining the oscillometric method with the pulse wave transit time (PTT) model and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The inertial measurement unit integrates a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer. It is used to identify the posture of the test personnel and detect whether the test personnel have fallen through the Kalman filter fusion algorithm, and transmit the data to the dynamic calculation module, the intelligent execution module, and the cloud collaboration platform. The positioning component uses TDoA technology combined with the BeiDou positioning system to achieve an indoor positioning accuracy of ≤30cm. It is used to locate the coordinates of test personnel and record their movement trajectory, and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform.

[0038] The dynamic calculation module is executed in real time using an FPGA chip. Based on data transmitted between the multi-source sensing module and the personnel status monitoring module, it calculates the personnel fatigue level and dynamic safety distance. Based on the dynamic safety distance and the parsed deployment coordinates of the multi-source sensing modules, it updates the deployment coordinates of the multi-source sensing modules and transmits the data to the intelligent execution module. Specifically, it includes a personnel fatigue assessment module, a dynamic safety distance calculation module, and a dynamic deployment unit, wherein: The experimenter fatigue assessment module is used to assess the experimenter's fatigue level based on physiological parameters, body posture, coordinates, and movement trajectory, and transmit the data to the intelligent execution module and cloud collaboration platform. Specifically, as follows... Figure 2 As shown: The physiological parameters of the test subjects were collected and input into the trained SVR model based on the PSO algorithm to obtain the fatigue level of the test subjects (level 0-4).

[0039] The process of optimizing the SVR model training based on the PSO algorithm is as follows: Collect historical data on heart rate, blood oxygen saturation, and heart rate variability of test participants to generate standardized feature vectors. Assign corresponding fatigue level (0-4) labels to the standardized feature vector data to form training samples and test samples. The training samples are input into the SVR model optimized based on the PSO algorithm. After the test samples verify that the model meets the corresponding indicators, the training is complete.

[0040] The dynamic safety distance calculation module is used to calculate the dynamic safety distance based on the perimeter environmental parameters of the target high-pressure test area, the physiological parameters of the test personnel, the identification of the test personnel's posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory. When biometric features are detected, the dynamic safety distance is automatically reduced in a gradient and the data is transmitted to the intelligent execution module and the cloud collaboration platform. Specifically, it includes: The expression for the dynamic safety distance is: , in, k ∈[0.8,1.2]、 n ∈[0.3,0.6]、 C ∈[0.5,1.5] represents the fitting parameters based on finite element simulation and rod-plate discharge experiments; E real Let E be the real-time electric field strength in the target high-voltage test area, U be the voltage of the high-voltage test equipment, and E be the voltage of the high-voltage test equipment. threshold The safety threshold for the bioelectric field is set at 8kV / m; when biological features are detected, a 20% step adjustment mechanism is used to reduce the safety distance; A is the environmental humidity compensation factor, which is measured by a dew point sensor and has a value range of 0≤A≤5; F is the real-time fatigue level (0-0.8, corresponding to level 0-4).α The fatigue compensation coefficient is 0.1-0.3.

[0041] The field strength correction coefficient k∈[0.8,1.2] was obtained through 50 sets of rod-plate electrode tests to determine the breakdown voltage distribution. The fitting error was ≤3%. It was calibrated in conjunction with finite element simulation to compensate for the field strength distortion effect caused by the electrode shape. The nonlinear exponent n∈[0.3,0.6] characterizes the nonlinear characteristics of the streamer-leader transition during the discharge development process. The environmental correction factor C∈[0.5,1.5] comprehensively considers the influence of environmental parameters such as atmospheric pressure and temperature gradient on the discharge characteristics. The calibration methods for parameters k, n, and C include: Construct two-dimensional electrostatic field models for rod-plate electrodes, plate-wire electrodes, etc. Based on the Weibull distribution, the breakdown probability curve is fitted, and the objective function is optimized as follows: , where λ=0.01 is the regularization coefficient; The regularized least squares method is used to optimize the coefficients k, n, and C of the formula.

[0042] Humidity compensation factor A∈[0,5], an exponential compensation model is established based on the real-time measurement value of the dew point temperature sensor: A=exp(-(T d -T0) / τ), where T d Here, T0 = 25℃ is the dew point temperature, T0 = 25℃ is the reference temperature, and τ = 5℃ is the temperature sensitivity coefficient. The real-time fatigue level F∈[0,0.8] (corresponding to physiological indicators of levels 0-4), the compensation coefficient α∈[0.1,0.3], and the dynamic threshold decay is performed using the product of F·α.

[0043] The dynamic deployment unit is used to parse the initial deployment coordinates and current deployment coordinates of the multi-source sensing modules through the FPGA chip, and combined with the particle swarm optimization algorithm (PSO) to optimize the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental perception unit through dynamic safety distance (ensuring that the sensor blind zone is ≤0.1%) and send them to the intelligent execution module.

[0044] The intelligent execution module is used to acquire basic geographic coordinate information and 3D point cloud data of the target high-voltage test area, construct the initial topology of the perimeter of the target high-voltage test area, and initially deploy multi-source sensing modules. Based on the deployment coordinates transmitted by the dynamic calculation module, it dynamically adjusts the deployment route of the multi-source sensing modules. Based on the data transmitted between the multi-source sensing modules and the personnel status monitoring module, it determines the degree of intrusion by the intruder and, combined with the personnel fatigue data transmitted by the dynamic calculation module, executes the set response strategy accordingly. This includes an audible and visual alarm, a directional acoustic wave deterrent unit, a high-voltage power cut-off unit, a motion execution unit, and a judicial evidence storage unit, wherein: The audible and visual alarm is used to activate a local audible and visual alert when the fatigue level of the test personnel meets the set range or when the detection range between the human body and the first layer of laser beam grid meets the set range. The directional acoustic wave repulsion unit is used to detect when the human body and the second layer of laser beam grid meet the set range and issue a directional acoustic wave warning; The high-voltage power cut-off unit includes a main / auxiliary dual redundant circuit breaker, which is used to limit or softly or hard cut off the circuit of the high-voltage equipment in the high-voltage test area when the intrusion distance generated according to the coordinates of the intruder and the fatigue level of the test personnel are within different set ranges. Specifically, the following tiered response strategy will be implemented: (1) Yellow warning: Local audio-visual warning will be activated when the fatigue level of the test personnel is ≥0.4 or when an intruder approaches within 10m of the first layer of laser beam grid; (2) Orange alert: When the fatigue level of the test personnel is ≥0.6 or when a person breaks through the first layer of laser beam grid, the power of the equipment is limited to 70%; (3) Red alert: When the fatigue level of the test personnel is ≥0.8 for 60 seconds, the high-voltage power supply will be softly cut off; (4) Emergency cut-off: When a person breaks through the second layer of laser beam grid or his vital signs are abnormal, the dual redundant circuit breaker is triggered to cut off hard and simultaneously send the location information to the rescue platform.

[0045] The motion execution unit integrates a Beidou / GPS positioning system (accuracy ≤30cm), a nine-axis MEMS inertial measurement unit (IMU), a lidar, and a visual SLAM algorithm to obtain basic geographic coordinate information and three-dimensional point cloud data of the target high-pressure test area to construct the initial topology of the perimeter of the target high-pressure test area. It is equipped with a power and motion mechanism, an omnidirectional wheel chassis, and a servo motor. According to the initial topology, it initially deploys multi-source sensing modules and receives data transmitted by the dynamic computing module to dynamically adjust the deployment route of the multi-source sensing modules.

[0046] The judicial evidence storage unit is used to record the cutting-off timestamp of the high-voltage power supply cutting-off unit in the intelligent execution module, the circuit breaker status, the electric field strength of the target high-voltage test area perimeter transmitted by the multi-source sensing module, and the coordinate data of the intruder (and perform cross-modal hash binding, using SM2 / SM9 dual algorithm encryption) and synchronize them to the downstream judicial blockchain platform and cloud collaboration platform.

[0047] The cloud-based collaborative platform is used to receive data from the multi-source sensing module, the personnel status monitoring module, the dynamic calculation module, and the intelligent execution module, and to generate an electric field intensity heat map and a trajectory prediction line for the intruder. When abnormal vital signs are detected, it generates an electric field intensity heat map based on the electric field intensity at the perimeter of the high-voltage test area and a trajectory prediction line for the intruder based on the intruder's coordinate data. When abnormal vital signs are detected, it automatically pushes location information to the rescue platform.

[0048] Example 2 This embodiment provides an alarm method for outdoor high-voltage test areas based on an infrared electronic fence array, including the following steps: The basic geographic coordinates and 3D point cloud data of the target high-voltage test area are obtained to construct the initial topology of the perimeter of the target high-voltage test area and initially deploy infrared electronic fence array, visual monitoring array, and environmental perception unit. The infrared electronic fence array, visual monitoring array, and environmental perception unit are used to identify intruders, locate the coordinates of intruders, and obtain the environmental parameters of the perimeter of the target high-voltage test area. The infrared electronic fence array comprises a laser beam grid covering the 850nm, 940nm, and 1550nm wavelength bands. This laser beam grid is deployed in a distributed, mobile manner along the perimeter of the target high-voltage test area. The three layers of laser beam grids in the infrared electronic fence array have adjustable wavelengths, a power density ≤5mW / cm², and a vertical layer spacing of 0.5m-2m, adjustable via servo motors. Each layer independently detects the height and position coordinates of intruders, achieving a spatial positioning accuracy ≤10cm.

[0049] The visual monitoring array comprises four equally spaced 4K cameras (3840×2160@30fps, 1 / 1.8" CMOS, minimum illumination 0.0005Lux), deployed at a 30° elevation angle around the perimeter of the target high-voltage test area. Each camera is equipped with a BeiDou positioning system, integrates a facial feature recognition unit based on a convolutional neural network, and a life form recognition algorithm based on thermal radiation spectra. Multi-view image frame-level alignment (time deviation ≤1μs) is achieved through a time synchronization protocol. The multi-view images are used for 3D reconstruction to generate a dense point cloud map of the test area.

[0050] The environmental sensing unit includes multiple temperature and humidity sensors, an ultrasonic ranging array, and an electric field strength sensor group; Temperature and humidity at the perimeter of the target high-voltage test area are acquired using temperature and humidity sensors; the coordinates of the test personnel and equipment are acquired using an ultrasonic ranging array and transmitted data; and the electric field strength at the perimeter of the target high-voltage test area is acquired using the electric field strength sensor group. The electric field strength sensor group is deployed in a distributed manner, moving at preset distances from the high-voltage test equipment towards the boundary. The electric field strength sensor group consists of 12 contact probes with a range of 0-100 kV / m and a sampling frequency ≥ 1 kHz.

[0051] Collect physiological parameters of test subjects, identify their body posture, locate their coordinates, record their movement trajectory, and assess their fatigue level; Based on the perimeter environmental parameters of the target high-pressure test area, the physiological parameters of the test personnel, the identification of the test personnel's posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory, the fatigue level and dynamic safety distance of the test personnel are obtained, as detailed below: The physiological parameters of the test subjects were collected and input into the trained SVR model based on the PSO algorithm to obtain the fatigue level (0-4).

[0052] The process of optimizing the SVR model training based on the PSO algorithm is as follows: Collect historical data on heart rate, blood oxygen saturation, and heart rate variability of test participants to generate standardized feature vectors. Assign corresponding fatigue level (0-4) labels to the standardized feature vector data to form training samples and test samples. The training samples are input into the SVR model optimized based on the PSO algorithm. After the test samples verify that the model meets the corresponding indicators, the training is complete.

[0053] The expression for the dynamic safety distance is: , in, k ∈[0.8,1.2]、 n ∈[0.3,0.6]、 C ∈[0.5,1.5] represents the fitting parameters based on finite element simulation and rod-plate discharge experiments; E real Let E be the real-time electric field strength in the target high-voltage test area, U be the voltage of the high-voltage test equipment, and E be the voltage of the high-voltage test equipment. threshold The safety threshold for the bioelectric field is set at 8kV / m; when biological features are detected, a 20% step adjustment mechanism is used to reduce the safety distance; A is the environmental humidity compensation factor, which is measured by a dew point sensor and has a value range of 0≤A≤5; F is the real-time fatigue level (0-0.8, corresponding to level 0-4). α The fatigue compensation coefficient is 0.1-0.3.

[0054] The field strength correction coefficient k∈[0.8,1.2] was obtained through 50 sets of rod-plate electrode tests to determine the breakdown voltage distribution. The fitting error was ≤3%. It was calibrated in conjunction with finite element simulation to compensate for the field strength distortion effect caused by the electrode shape. The nonlinear exponent n∈[0.3,0.6] characterizes the nonlinear characteristics of the streamer-leader transition during the discharge development process. The environmental correction factor C∈[0.5,1.5] comprehensively considers the influence of environmental parameters such as atmospheric pressure and temperature gradient on the discharge characteristics. The calibration methods for parameters k, n, and C include: Construct two-dimensional electrostatic field models for rod-plate electrodes, plate-wire electrodes, etc. Based on the Weibull distribution, the breakdown probability curve is fitted, and the objective function is optimized as follows: , where λ=0.01 is the regularization coefficient; The regularized least squares method is used to optimize the coefficients k, n, and C of the formula.

[0055] Humidity compensation factor A∈[0,5], an exponential compensation model is established based on the real-time measurement value of the dew point temperature sensor: A=exp(-(T d -T0) / τ), where T d Here, T0 = 25℃ is the dew point temperature, T0 = 25℃ is the reference temperature, and τ = 5℃ is the temperature sensitivity coefficient. The real-time fatigue level F∈[0,0.8] (corresponding to physiological indicators of levels 0-4), the compensation coefficient α∈[0.1,0.3], and the dynamic threshold decay is performed using the product of F·α.

[0056] Based on the dynamic safety distance and the resolution of the current coordinates of the infrared electronic fence array, visual monitoring array, and environmental sensing unit, the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental sensing unit are updated.

[0057] A response strategy was implemented based on the level of intrusion and the fatigue level of the test personnel, and the intrusion-related data was forensic evidence. Specifically, the following tiered response strategy was followed: (1) Yellow warning: Local audio-visual warning will be activated when the fatigue level of the test personnel is ≥0.4 or when an intruder approaches within 10m of the first layer of laser beam grid; (2) Orange alert: When the fatigue level of the test personnel is ≥0.6 or when a person breaks through the first layer of laser beam grid, the power of the equipment is limited to 70%; (3) Red alert: When the fatigue level of the test personnel is ≥0.8 for 60 seconds, the high-voltage power supply will be softly cut off; (4) Emergency cut-off: When a person breaks through the second layer of laser beam grid or his vital signs are abnormal, the dual redundant circuit breaker is triggered to cut off hard and simultaneously send the location information to the rescue platform.

[0058] An electric field intensity heat map is generated based on the electric field intensity at the perimeter of the high-voltage test area. A trajectory prediction line for the intruder is generated based on the coordinate data of the intruder. When abnormal vital signs are detected, the location information is automatically pushed to the rescue platform.

[0059] Example 3 This embodiment provides a computer storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the outdoor high-voltage test area alarm method based on an infrared electronic fence array as described in Embodiment 2.

[0060] Example 4 The present invention also provides an electronic device, including a memory and a processor: the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, wherein when the computer-executable instructions are executed by the processor, the steps of the outdoor high-voltage test area alarm method based on infrared electronic fence array as described in Embodiment 2 are implemented.

[0061] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0063] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0064] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

Claims

1. An outdoor high-voltage test area alarm device based on an infrared electronic fence array, characterized in that, It includes a multi-source sensing module, a personnel status monitoring module, a dynamic calculation module, and an intelligent execution module: The multi-source sensing module is used to identify intruders, locate their coordinates, acquire environmental parameters of the target high-pressure test area perimeter, and transmit them to the dynamic calculation module and intelligent execution module. The test personnel status monitoring module is worn on the test personnel's body surface and is used to collect the test personnel's physiological parameters, identify the test personnel's body posture, locate the test personnel's coordinates and record the test personnel's movement trajectory, and transmit the data to the dynamic calculation module and the intelligent execution module; The dynamic calculation module is used to obtain the fatigue level and dynamic safety distance of the test personnel based on the data transmitted between the multi-source sensing module and the test personnel status monitoring module. Based on the dynamic safety distance and the current deployment coordinates of the multi-source sensing module, the module updates the deployment coordinates of the multi-source sensing module and transmits the data to the intelligent execution module. The intelligent execution module is used to acquire basic geographic coordinate information and three-dimensional point cloud data of the target high-voltage test area, construct the initial topology of the perimeter of the target high-voltage test area, and initially deploy multi-source sensing modules. Based on the deployment coordinates transmitted by the dynamic calculation module, it dynamically adjusts the deployment route of the multi-source sensing modules. Based on the data transmitted between the multi-source sensing modules and the test personnel status monitoring module, it determines the degree of intrusion of the intruders and executes the set response strategy accordingly in combination with the test personnel fatigue data transmitted by the dynamic calculation module.

2. The outdoor high-voltage test area alarm device based on an infrared electronic fence array according to claim 1, characterized in that, The device also includes the cloud-based collaborative platform, which receives data from the multi-source sensing module, the personnel status monitoring module, the dynamic calculation module, and the intelligent execution module, and generates an electric field intensity heat map and a trajectory prediction line for intruders. When abnormal vital signs are detected, the platform automatically pushes location information to the rescue platform.

3. The outdoor high-voltage test area alarm device based on an infrared electronic fence array according to claim 2, characterized in that, The multi-source sensing module includes an infrared electronic fence array, a visual monitoring array, and an environmental perception unit. The infrared electronic fence array includes a laser beam grid covering the 850nm, 940nm and 1550nm wavelength bands. The laser beam grid is distributed and moved along the perimeter of the target high-voltage test area to warn intruders and locate their coordinates, and transmit the data to the dynamic calculation module, intelligent execution module and cloud collaboration platform. The visual monitoring array includes multiple equally spaced cameras deployed at a 30° elevation angle around the perimeter of the target high-voltage test area. Each camera carries a BeiDou positioning system and integrates a facial feature recognition unit based on a convolutional neural network and a life recognition algorithm based on thermal radiation spectrum. It is used to identify the facial features and vital signs of intruders and transmit the data to a dynamic computing module, an intelligent execution module, and a cloud collaboration platform. The environmental sensing unit includes multiple temperature and humidity sensors, an ultrasonic ranging array, and an electric field strength sensor group. The temperature and humidity sensor is used to acquire the temperature and humidity of the perimeter of the target high-pressure test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The ultrasonic ranging array is used to acquire the position coordinates of the test personnel, test equipment and intelligent execution module and transmit the data to the dynamic calculation module, intelligent execution module and cloud collaboration platform; The electric field strength sensor group is used to acquire the electric field strength of the perimeter of the target high-voltage test area and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform.

4. An outdoor high-voltage test area alarm device based on an infrared electronic fence array according to claim 2, characterized in that, The personnel status monitoring module includes a flexible photoelectric sensor array, a piezoelectric skin contact sensor, a thin-film temperature sensor group, a blood pressure monitoring unit, an inertial measurement unit, and a positioning unit; The flexible photoelectric sensor array is used to collect the real-time heart rate and blood oxygen saturation of the test personnel and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform; The piezoelectric skin contact sensor is used to collect real-time heart rate variability parameters by measuring the micro-vibration signal of the test personnel's epidermis and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform. The thin-film temperature sensor array is used to collect the real-time body surface temperature of the test personnel and transmit the data to the dynamic calculation module, the intelligent execution module, and the cloud collaboration platform. The blood pressure monitoring unit is used to collect the real-time blood pressure of the test subjects and transmit the data to the dynamic calculation module, the intelligent execution module, and the cloud collaboration platform; The inertial measurement unit is used to identify the test personnel's posture and detect whether the test personnel have fallen, and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform; The positioning component is used to locate the coordinates of the test personnel, record their movement trajectory, and transmit the data to the dynamic calculation module, intelligent execution module, and cloud collaboration platform.

5. An outdoor high-voltage test area alarm device based on an infrared electronic fence array according to claim 3, characterized in that, The dynamic calculation module includes a test personnel fatigue assessment module, a dynamic safety distance calculation module, and a dynamic deployment unit; The fatigue assessment module for test personnel is used to assess the fatigue level of test personnel based on their physiological parameters, identify their posture, locate their coordinates, record their movement trajectory, and transmit the data to the intelligent execution module and cloud collaboration platform. The dynamic safety distance calculation module is used to obtain the dynamic safety distance based on the perimeter environmental parameters of the target high-pressure test area, the physiological parameters of the test personnel, the identification of the test personnel's body posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory. When biometric features are detected, the dynamic safety distance is automatically reduced in a gradient and the data is transmitted to the intelligent execution module and the cloud collaboration platform. Specifically, it includes: The expression for the dynamic safety distance is: ， in, k ∈[0.8,1.2]、 n ∈[0.3,0.6]、 C ∈[0.5,1.5] represents the fitting parameters based on finite element simulation and rod-plate discharge experiments; E real Let E be the real-time electric field strength in the target high-voltage test area, U be the voltage of the high-voltage test equipment, and E be the voltage of the high-voltage test equipment. threshold The bioelectric field safety threshold is set at 8 kV / m; when biological features are detected, a 20% step adjustment mechanism is used to reduce the safety distance; A is the environmental humidity compensation factor, measured by a dew point sensor, with a value range of 0 ≤ A ≤ 5; F is the fatigue level of the test personnel. α This is the fatigue compensation coefficient; The dynamic deployment unit is used to analyze the initial deployment coordinates of the multi-source sensing modules and the current deployment coordinates of the multi-source sensing modules. Combined with the particle swarm optimization algorithm, it optimizes the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental perception unit through dynamic safety distance and sends them to the intelligent execution module.

6. An outdoor high-voltage test area alarm device based on an infrared electronic fence array according to claim 2, characterized in that, The intelligent execution module includes an audible and visual alarm, a directional acoustic wave decoy unit, a high-voltage power cut-off unit, a motion execution unit, and a judicial evidence storage unit. The audible and visual alarm is used to activate a local audible and visual alert when the fatigue level of the test personnel meets the set range or when the detection range between the human body and the first layer of laser beam grid meets the set range. The directional acoustic wave decoy unit is used to issue a directional acoustic wave warning when the human body and the second layer of laser beam grid meet the set range. The high-voltage power cut-off unit includes a main / auxiliary dual redundant circuit breaker, which is used to limit or softly or hard cut off the circuit of the high-voltage equipment in the high-voltage test area when the intrusion distance L generated according to the coordinates of the intruder and the fatigue level of the test personnel are within different set ranges. The motion execution unit integrates a Beidou / GPS positioning system, a nine-axis MEMS inertial measurement unit, a lidar, and a visual SLAM algorithm to obtain basic geographic coordinate information and three-dimensional point cloud data of the target high-pressure test area to construct the initial topology of the perimeter of the target high-pressure test area. It is equipped with a power and motion mechanism, an omnidirectional wheel chassis, a liftable support, and a servo motor. According to the initial topology, it initially deploys multi-source sensing modules and receives data transmitted by the dynamic calculation module to dynamically adjust the deployment route of the multi-source sensing modules. The judicial evidence storage unit is used to record the cutting-off timestamp of the high-voltage power cutting-off unit in the intelligent execution module, the circuit breaker status, the electric field strength of the perimeter of the target high-voltage test area transmitted by the multi-source sensing module, and the coordinate data of the intruder, and synchronize them to the cloud collaboration platform and the downstream judicial blockchain platform.

7. An alarm method for outdoor high-voltage test areas based on an infrared electronic fence array, comprising the following steps: The basic geographic coordinates and 3D point cloud data of the target high-voltage test area are obtained to construct the initial topology of the perimeter of the target high-voltage test area and initially deploy infrared electronic fence array, visual monitoring array, and environmental perception unit. The infrared electronic fence array, visual monitoring array, and environmental perception unit are used to identify intruders, locate the coordinates of intruders, and obtain the environmental parameters of the perimeter of the target high-voltage test area. Collect physiological parameters of test subjects, identify their body posture, locate their coordinates, record their movement trajectory, and assess their fatigue level; Based on the perimeter environmental parameters of the target high-voltage test area, the physiological parameters of the test personnel, the identification of the test personnel's body posture, the location of the test personnel's coordinates, and the recording of the test personnel's movement trajectory, the fatigue level and dynamic safety distance of the test personnel are obtained. Based on the dynamic safety distance and the analysis of the current infrared electronic fence array, visual monitoring array, and environmental perception unit, the deployment coordinates of the infrared electronic fence array, visual monitoring array, and environmental perception unit are updated. The response strategy is set based on the degree of intrusion by the intruder and the fatigue level of the test personnel, and the intruder-related data is stored as evidence in the judicial system.

8. An alarm method for outdoor high-voltage test areas based on an infrared electronic fence array according to claim 7, comprising the following steps: The method further includes: An electric field intensity heat map is generated based on the electric field intensity at the perimeter of the high-voltage test area. A trajectory prediction line for the intruder is generated based on the coordinate data of the intruder. When abnormal vital signs are detected, the location information is automatically pushed to the rescue platform.

9. A computer storage medium storing a computer program that, when executed by a processor, implements the steps of the outdoor high-voltage test area alarm method based on an infrared electronic fence array as described in claims 7-8.

10. An electronic device comprising a memory and a processor: the memory for storing computer-executable instructions, the processor for executing the computer-executable instructions, wherein the computer-executable instructions, when executed by the processor, implement the steps of the outdoor high-voltage test area alarm method based on an infrared electronic fence array as described in claims 7-8.

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