Simulation detection device for testing tree line monitoring and early warning system and use method of simulation detection device

Abstract

The invention discloses a simulation detection device for testing a tree line monitoring and early warning system and a use method of the simulation detection device, and relates to the technical field of testing devices.According to the simulation detection device for testing the tree line monitoring and early warning system and the use method of the simulation detection device, a multi-dimensional data fusion and active scene simulation testing system is constructed, and the testing efficiency is improved. The tree suspension moving mechanism drives the test tree and the simulation wire to accurately simulate the dynamic moving process, and the electric field intensity adjusted by the discharge induction module is matched, so that controllable simulation of the whole scene condition of the occurrence of the tree flash phenomenon is realized; through dynamic parameter control, multi-sensor cooperation and intelligent data processing architecture, the problems of scene staticization, data islanding and analysis qualification in a traditional test method are solved, and a full-dimension test means capable of being accurately quantized is provided for a partial discharge monitoring technology.

Description

Technical Field

[0001] The present invention relates to the technical field of test devices, and particularly to a simulation detection device for testing a tree line monitoring and warning system and a using method thereof. Background Art

[0002] Existing test devices for tree line monitoring and warning systems have significant deficiencies in aspects such as environmental simulation degree, detection dimensions, and verification systems. Traditional simulation devices use fixed spacing adjustment or simple grounding methods, making it difficult to truly simulate the dynamic process of a tree fault approaching gradually, resulting in distorted discharge characteristics and inaccurate determination of the critical breakdown point; the high-voltage excitation module lacks dynamic monitoring means, and the test parameters deviate significantly from the actual working conditions. The problem of single sensor configuration is prominent, relying on single-type signal detection, with a relatively high false judgment rate of partial discharge. The test process relies on manual operation, with a long cycle and low efficiency. The evaluation index is limited to the statistics of basic discharge times, lacking comprehensive analysis of pulse characteristic parameters, and it is difficult to quantitatively verify the system sensitivity and anti-interference ability, and the confidence level of system false alarm and missed alarm evaluation is low. The above defects make the test results unable to truly reflect the performance of the tree line monitoring and warning system, and it is urgent to construct a high-fidelity dynamic simulation environment and a multi-modal data collaborative verification system to solve the systematic deficiencies of the existing technology. Summary of the Invention

[0003] The purpose of the present invention is: aiming at the above problems, the present invention provides a simulation detection device for testing a tree line monitoring and warning system and a using method thereof. By constructing a test system of multi-dimensional data fusion and active scenario simulation, the tree suspension moving mechanism drives the test tree and the simulated wire to accurately simulate the dynamic moving process, and with the electric field intensity adjusted by the discharge induction module, it realizes the controllable simulation of the full-scenario conditions of the tree flash phenomenon; through dynamic parameter control, multi-sensor collaboration, and an intelligent data processing architecture, it solves the problems of static scenarios, data isolation, and qualitative analysis in traditional test methods, and provides a fully-dimensional test means that can be accurately quantified for partial discharge monitoring technology.

[0004] The technical solution adopted by the present invention is as follows: A simulation detection device for testing a tree-line monitoring and early warning system, comprising a simulation module, a control module and a monitoring module. The simulation module includes a discharge induction module, a suspension simulation module, a ground simulation module, a simulation wire and a test tree. The suspension simulation module includes a wire suspension support mechanism and a tree suspension moving mechanism. The simulation wire is assembled on the wire suspension support mechanism, and the test tree is assembled on the tree suspension moving mechanism. The tree suspension moving mechanism can drive the test tree to move relative to the simulation wire. The bottom end of the test tree is connected to the ground simulation module through a connecting wire. The two ends of the discharge induction module are respectively electrically connected to the test tree and the simulation wire to form a simulation loop. The tree-line monitoring and early warning system includes a signal acquisition module, a discharge analysis module and a processing module. The signal acquisition module is assembled on the simulation module and is used to collect ultrasonic signals between the test tree and the simulation wire in the simulation module. The discharge analysis module is signal-connected to the signal acquisition module and is used to perform partial discharge analysis based on the ultrasonic signals and send a wake-up signal or a sleep signal to the processing module according to the analysis results. The control module is respectively signal-connected to the discharge induction module, the tree suspension moving mechanism and the monitoring module, and the monitoring module is signal-connected to the discharge analysis module.

[0005] Due to the adoption of the above technical solution, the device accurately controls the electric field and physical contact conditions between the test tree and the wire through the simulation module, and cooperates with the multi-dimensional data acquisition ability of the monitoring module to realize the full-scenario simulation test of the tree-line monitoring and early warning system during the occurrence of tree flash phenomena. The linkage design of the signal acquisition module and the discharge analysis module ensures that the early warning system can still be timely awakened through ultrasonic signal detection in the low-power mode, significantly improving the system reliability and energy efficiency performance.

[0006] Further, it further includes a discharge condition detection module. The discharge condition detection module includes a high-frequency current transformer sleeved on the simulation wire and / or a capacitive coupling sensor assembled on or around the test tree, and a discharge condition judgment module. The high-frequency current transformer is used to obtain the current signal of the simulation wire. The capacitive coupling sensor is used to obtain the electric field signal between the test tree and the simulation wire. The high-frequency current transformer and / or the capacitive coupling sensor are signal-connected to the discharge condition judgment module, and the discharge condition judgment module is signal-connected to the monitoring module.

[0007] Due to the adoption of the above technical solution, the discharge condition detection module can verify the accuracy of the tree-line monitoring and early warning system by collecting current and electric field data through sensors.

[0008] Further, it further includes an observation module. The observation module includes an ultraviolet imaging device and / or a high-speed camera. The observation module is signal-connected to the monitoring module.

[0009] Due to the adoption of the above technical solution, through the combination of the ultraviolet imaging device and the high-speed camera, the spectral characteristics and dynamic images during the tree flash discharge process can be captured in real time. The ultraviolet imaging device records the number of photons in real time, and the high-speed camera synchronously records the microscopic discharge morphology, providing an intuitive verification means for analyzing the accuracy of the wake-up signal of the tree line monitoring and early warning system.

[0010] Further, the discharge induction module is a transformer. The discharge induction module is connected in parallel with a capacitive voltage divider. The capacitive voltage divider is used to measure the output voltage of the transformer, and the signal output end of the capacitive voltage divider is connected to the monitoring module in terms of signal.

[0011] Due to the adoption of the above technical solution, the introduction of the capacitive voltage divider realizes the dynamic monitoring of the electric field strength during the discharge process. By accurately measuring the output voltage of the transformer, the system can grasp the changes in the electrical parameters in the simulated environment in real time, ensuring that the discharge test matches the actual scenario parameters, and providing a data basis for verifying the response ability of the tree line monitoring and early warning system under different electric field strengths.

[0012] Further, the monitoring module is provided with a data receiving unit, a data recording unit, a data screening unit, and a data analysis unit; the data receiving unit is used to receive the observation data obtained by the observation module, the discharge condition data obtained by the discharge condition detection module, the partial discharge analysis data obtained by the discharge analysis module, and the output voltage of the transformer obtained by the capacitive voltage divider; the data recording unit is used to associate the observation data, the discharge condition data, the partial discharge analysis data, and the output voltage of the transformer at the same moment to form the simulated monitoring data at that moment; the data screening unit is used to screen out the simulated monitoring data in the specified pulse frequency band as the effective monitoring data; the data analysis unit is used to calculate and count the total number of discharges of the discharge induction module, the effective number of discharges obtained based on the effective monitoring data, the detected number of discharges obtained based on the discharge condition data, the number of wake-up times obtained based on the partial discharge analysis data, and output the statistical results.

[0013] Due to the adoption of the above technical solution, the hierarchical data processing architecture constructs a complete data traceability chain. The data association record ensures the precise synchronization of multi-dimensional data in time, while the screening and statistics unit screens out the key monitoring data and quantifies the system performance indicators, providing automated and structured data support for the analysis of the test results.

[0014] Further, an oscilloscope is also connected to the signal output end of the capacitive voltage divider.

[0015] Due to the adoption of the above technical solution, the introduction of the oscilloscope realizes the real-time visual monitoring of the voltage waveform. The operator can assist in judging whether the discharge process meets the preset conditions by observing the characteristics of the voltage transient change, and at the same time provide an intuitive waveform basis for the analysis of abnormal discharge events, enhancing the controllability and debugging convenience of the analog detection device.

[0016] Further, a protection resistor is connected in series between the output end of the transformer and the signal acquisition module.

[0017] Due to the adoption of the above technical solution, the design of the protection resistor effectively suppresses the impact of high-voltage signals on the discharge induction module, maintains the stability of the analog circuit, extends the service life of the equipment and reduces the maintenance cost.

[0018] Further, the ground simulation module is an aluminum plate.

[0019] Due to the adoption of the above technical solution, using an aluminum plate as the ground simulation module not only ensures good electrical conductivity with the grounding system, but also ensures the stability and long-term reliability of the simulation scenario through the excellent structural strength and corrosion resistance of the metal material. Its lightweight design also facilitates the spatial layout and adjustment of the simulation device.

[0020] Usage method of a simulation detection device for testing a tree line monitoring and warning system, applied to the above-mentioned simulation detection device for testing a tree line monitoring and warning system, including the following steps: Simulation scenario setup step: Prepare test trees, trim the tops of the test trees to ensure that the top shapes of the test trees are consistent with the actual scenario; Assemble the test trees on the tree suspension and movement mechanism, connect the bottoms of the test trees to the ground simulation module through connection wires, assemble the simulation wires on the wire suspension and support mechanism, electrically connect the two ends of the discharge induction module to the test trees and the simulation wires respectively to form a simulation loop, and assemble the signal acquisition module of the tree line monitoring and warning system on the simulation module; Tree line monitoring and warning system operation step: Turn on the signal acquisition module, and collect ultrasonic signals between the test trees and the simulation wires in the simulation module in real time; The signal acquisition module sends the acquired ultrasonic signals to the discharge analysis module, and the discharge analysis module processes the ultrasonic signals to determine whether a tree flash phenomenon occurs between the test trees and the simulation wires. If it is determined that no tree flash phenomenon occurs, a sleep instruction is sent to the processing module. After receiving the sleep instruction, the energy harvesting module in the processing module stops powering the image verification module and the data upload module. If it is determined that a tree flash phenomenon occurs, a wake-up instruction is sent to the processing module and the monitoring module. After receiving the wake-up instruction, the monitoring module records the number of times the tree line monitoring and warning system is awakened. After receiving the wake-up instruction, the energy harvesting module in the processing module starts powering the image verification module and the data upload module. The image verification module takes pictures and / or records videos of the images between the test trees and the simulation wires and transmits the obtained image data to the data upload module. The data upload module uploads the received image data to the next-level processing device; Simulation detection device operation step: The control module controls the discharge induction module to start, increases the electric field strength between the trees and the transmission line to the rated value, the control module controls the tree suspension and movement mechanism to control the test trees to gradually approach the simulation wires, and the control module controls the monitoring module to monitor whether a tree flash phenomenon occurs between the test trees and the simulation wires and records the number of detected discharges; Detection result analysis step: Compare the number of effective discharges, the number of detected discharges with the number of times the tree line monitoring and warning system is awakened to verify the accuracy of the tree line monitoring and warning system.

[0021] Due to the adoption of the above technical solution, through the standardized preparation process and the actively controlled tree flash triggering mechanism, this method can accurately simulate the dynamic interaction process in the real scenario, and the comparison and verification link provides quantifiable indicators for the system performance evaluation, significantly improving the test efficiency and result credibility.

[0022] Further, in the step of running the simulation detection device, a discharge condition detection module is deployed. A high-frequency current transformer is sleeved on the simulated wire and / or a capacitive coupling sensor is assembled on the test tree or around the test tree. The discharge condition judgment module determines whether a tree flash phenomenon occurs between the test tree and the simulated wire based on the current signal at the simulated wire obtained by the high-frequency current transformer and / or the electric field signal between the test tree and the simulated wire obtained by the capacitive coupling sensor. The discharge condition judgment module transmits the judgment result to the monitoring module, and the monitoring module records the number of detected discharges according to the judgment result transmitted by the discharge condition judgment module.

[0023] Due to the above technical solution, by using the high-frequency current transformer and / or the capacitive coupling sensor, the recognition accuracy of the tree flash phenomenon during the test can be ensured. Through the real-time information interaction between the sensor and the monitoring module, the system can still maintain high reliability in a complex electromagnetic environment, providing key data input for evaluating the robustness of the tree-line monitoring and warning system.

[0024] Further, in the step of running the simulation detection device, the data receiving unit in the monitoring module receives the observation data obtained by the observation module, the discharge condition data obtained by the discharge condition detection module, the partial discharge analysis data obtained by the discharge analysis module, the output voltage of the transformer obtained by the capacitive voltage divider, and the clearance distance between the test tree and the simulated wire as the original data, and transmits the original data to the data recording unit; the data recording unit correlates the observation data, the discharge condition data, the partial discharge analysis data, and the output voltage of the transformer at the same moment to form the simulated monitoring data at that moment, and transmits the simulated monitoring data to the data screening unit; the data screening unit screens out the simulated monitoring data in the specified pulse frequency band as the effective monitoring data, and transmits the effective monitoring data to the data analysis unit; the data analysis unit calculates and counts the total number of discharges of the discharge induction module, the effective number of discharges obtained based on the effective monitoring data, the number of detected discharges obtained based on the discharge condition data, and the number of awakenings obtained based on the partial discharge analysis data, and outputs the statistical results.

[0025] Due to the adoption of the above technical solution, the monitoring module realizes the precise fusion and dynamic optimization of multi-dimensional data, significantly improving the reliability and intelligent level of transformer partial discharge monitoring. First, the data receiving unit is used to receive multi-source signals; the data recording unit strictly aligns the multi-source signals through time synchronization technology to ensure the complete temporal consistency of data such as observation data, discharge condition data, partial discharge analysis data, and the output voltage of the transformer, fundamentally avoiding the problem of feature correlation deviation caused by data asynchronization in traditional monitoring. The data recording unit integrates the data of each dimension at the same moment into standardized analog monitoring data, providing a structured and traceable multi-dimensional data foundation for subsequent analysis, effectively solving the technical bottleneck that single-signal analysis is vulnerable to interference and information isolation; the data screening unit screens out effective monitoring data according to the frequency band where tree flash phenomena occur through frequency band limitation, laying a foundation for the rapid processing of data and improving the system response speed; the data analysis unit comprehensively conducts multi-level statistical comparisons such as the total number of discharges, the number of effective discharges, and the number of awakenings to realize the reliability verification of the tree-line monitoring and warning system.

[0026] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows: The simulation detection device for testing the tree-line monitoring and early warning system constructs a test system for multi-dimensional data fusion and active scenario simulation through the combination of a discharge induction module, a suspension simulation module, a ground simulation module, a simulated wire, and a test tree. In the suspension simulation module, the wire suspension support mechanism and the tree suspension moving mechanism cooperate with each other, enabling the tree suspension moving mechanism to drive the test tree and the simulated wire to accurately simulate the dynamic movement process. Combining with the electric field strength adjusted by the discharge induction module, it realizes the controllable simulation of the full-scenario conditions for tree flashover phenomena. The discharge condition detection module and the discharge condition judgment module are linked, which can accurately judge the number of tree flashover discharges; the ultraviolet imaging device in the observation module records the number of photons in real time, and the high-speed camera synchronously captures the microscopic discharge morphology to form time-correlated data with the ultrasonic signal. The data receiving unit built in the monitoring module integrates multi-source data from the signal acquisition module, the discharge condition detection module, the discharge analysis module, and the capacitive voltage divider. The data recording unit correlates the ultrasonic signal, current signal, electric field signal, voltage parameter, and image data at the same moment into standardized simulated monitoring data. The data screening unit filters out the effective monitoring data through the specified pulse frequency band. The data analysis unit statistically compares the total number of discharges, the number of effective discharges, and the number of wake-up times to construct a complete data traceability system. The low-power wake-up verification mechanism adopted by the tree-line monitoring and early warning system directly triggers the energy-taking module of the processing module through the judgment of the ultrasonic signal by the discharge analysis module, enabling the image verification module and the data upload module to complete image recording and data transmission during wake-up and stop power supply during sleep, significantly improving the energy efficiency performance of the tree-line monitoring and early warning system. This solution can directly verify the ultrasonic signal analysis accuracy, wake-up response speed, and multi-modal data fusion ability of the tree-line monitoring and early warning system. Through dynamic parameter control, multi-sensor collaboration, and an intelligent data processing architecture, it solves the problems of static scenarios, data islands, and qualitative analysis in traditional testing methods, providing a fully dimensioned test method that can be accurately quantified for partial discharge monitoring technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic structural diagram of the simulation detection device for testing the tree-line monitoring and early warning system of the present invention; Figure 2 is the discharge process captured by the ultraviolet imaging device when the test tree gradually approaches the simulated wire of the present invention; Figure 3 is the comparison between the discharge waveform monitored by the discharge condition detection module of the present invention and the waveform of the oscilloscope.

[0028] Markings in the figure: 1 - Discharge induction module, 2 - Capacitive voltage divider, 3 - Oscilloscope, 4 - Ultraviolet imaging device, 5 - High-speed camera, 6 - Wire suspension support mechanism, 7 - Discharge condition detection module, 8 - Test tree, 9 - Protection resistor. Detailed implementation manners

[0029] The present invention will be described in detail below with reference to the accompanying drawings.

[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] Embodiment 1 A simulation detection device for testing a tree-line monitoring and early warning system, as Figure 1 shown, includes a simulation module, a control module and a monitoring module. The simulation module includes a discharge induction module 1, a suspension simulation module, a ground simulation module, a simulation wire, and a test tree 8. The suspension simulation module includes a wire suspension support mechanism 6 and a tree suspension moving mechanism. The simulation wire is assembled on the wire suspension support mechanism 6. The wire suspension support mechanism 6 is a steel structure frame of 1.2 m × 1.2 m × 1.2 m. The simulation wire is a homogeneous steel pipe with an outer diameter of 3.1 cm and a length of 3 m. Its two ends are suspended under the cross arm of the steel structure frame through insulators, and its spatial position can be adjusted arbitrarily. The test tree 8 is assembled on the tree suspension moving mechanism. The test tree 8 is connected to the tree suspension moving mechanism through an insulating rope. The tree suspension moving mechanism can drive the test tree 8 to move relative to the simulation wire, changing the distance between the test tree 8 and the simulation wire, and simulating the discharge process of a tree obstacle approaching a transmission wire in a natural state. To ensure good grounding of the test tree 8, the bottom end of the test tree 8 is wound multiple times with a copper wire with good conductivity as a connection wire, and the other end of the connection wire is connected to the ground simulation module. The two ends of the discharge induction module 1 are respectively electrically connected to the test tree 8 and the simulation wire to form a simulation loop. The tree-line monitoring and early warning system includes a signal acquisition module, a discharge analysis module and a processing module. The signal acquisition module is assembled on the simulation module and is used to collect ultrasonic signals between the test tree 8 and the simulation wire in the simulation module. The discharge analysis module is signal-connected to the signal acquisition module and is used to perform partial discharge analysis based on the ultrasonic signals and send a wake-up signal or a sleep signal to the processing module according to the analysis results. The control module is respectively signal-connected to the discharge induction module 1, the tree suspension moving mechanism and the monitoring module, and the monitoring module is signal-connected to the discharge analysis module.

[0032] Specifically, the device precisely controls the electric field and physical contact conditions between the test tree 8 and the wire through the simulation module, and cooperates with the multi-dimensional data acquisition ability of the monitoring module to realize the full-scenario simulation test of the tree-line monitoring and warning system during the occurrence of tree flash phenomena. The linkage design of the signal acquisition module and the discharge analysis module ensures that the warning system can still be timely awakened through ultrasonic signal detection in the low-power mode, significantly improving the system reliability and energy efficiency performance.

[0033] It further includes a discharge condition detection module 7. The discharge condition detection module 7 includes a high-frequency current transformer sleeved on the simulated wire, a capacitive coupling sensor assembled on or around the test tree 8, and a discharge condition judgment module. The high-frequency current transformer is used to obtain the current signal of the simulated wire. The capacitive coupling sensor is used to obtain the electric field signal between the test tree 8 and the simulated wire. The high-frequency current transformer and the capacitive coupling sensor are signal-connected to the discharge condition judgment module, and the discharge condition judgment module is signal-connected to the monitoring module.

[0034] Specifically, the discharge condition detection module 7 collects current and electric field data through sensors, which can verify the accuracy of the tree-line monitoring and warning system. Preferably, based on the electromagnetic induction principle, the high-frequency current transformer selects a Rogowski coil with a bandwidth of 1 kHz to 5 MHz to achieve the complete capture of the current of the simulated wire. The capacitive coupling sensor selects a ceramic capacitor and is equipped with a capacitance digital conversion chip, which can capture discharge pulses at the 10 nanosecond level. Based on the electric field perturbation principle, the capacitive coupling sensor quantifies the dynamic electric field strength between the tree and the wire through a high-resolution capacitance measurement circuit, and performs time-domain correlation analysis with the high-frequency current signal to achieve a composite criterion for discharge events. The trigger threshold of the discharge condition detection module 7 is 1.2 to 1.5 times the amplitude of the corona discharge current of the simulation loop, avoiding interference caused by corona discharge.

[0035] It further includes an observation module. The observation module includes an ultraviolet imaging device 4 and a high-speed camera 5. The observation module is signal-connected to the monitoring module.

[0036] Specifically, through the combination of the ultraviolet imaging device 4 and the high-speed camera 5, the spectral characteristics and dynamic images during the tree flash discharge process can be captured in real time. The ultraviolet imaging device 4 records the number of photons in real time, and the high-speed camera 5 synchronously records the microscopic discharge morphology, providing an intuitive verification means for analyzing the accuracy of the wake-up signal of the tree-line monitoring and warning system.

[0037] The discharge induction module 1 is a transformer that generates high voltage to simulate the high-voltage environment of the line, gradually increasing the electric field strength between the test tree 8 and the simulated conductor until the electric field strength reaches the rated value. The rated capacity of the transformer is 1200 kVA, the rated output voltage is 0 - 110 kV, the rated input voltage is 0 - 10 kV, the rated input current is 120 A, and the rated output current is 3 A. The discharge induction module 1 is connected in parallel with the capacitive voltage divider 2, and the capacitive voltage divider 2 is used to measure the output voltage of the transformer. The signal output end of the capacitive voltage divider 2 is signal-connected to the monitoring module. The capacitive voltage divider 2 has a nominal capacitor of 500 pF, a rated voltage of 110 kV, and a nominal voltage division ratio of 1000:1, and is used to measure the power frequency voltage in the simulated test high-voltage environment.

[0038] Specifically, the introduction of the capacitive voltage divider 2 enables dynamic monitoring of the electric field strength during the discharge process. By accurately measuring the output voltage of the transformer, the system can real-time grasp the changes in electrical parameters in the simulated environment, ensure that the discharge test matches the actual scenario parameters, and provide a data basis for verifying the response ability of the tree-line monitoring and warning system under different electric field strengths.

[0039] The monitoring module is equipped with a data receiving unit, a data recording unit, a data screening unit, and a data analysis unit; the data receiving unit is used to receive the observation data obtained by the observation module, the discharge situation data obtained by the discharge situation detection module 7, the partial discharge analysis data obtained by the discharge analysis module, and the output voltage of the transformer obtained by the capacitive voltage divider 2; the data recording unit is used to associate the observation data, the discharge situation data, the partial discharge analysis data, and the output voltage of the transformer at the same moment to form the simulated monitoring data at that moment; the data screening unit is used to screen out the simulated monitoring data in the specified pulse frequency band as the effective monitoring data; the data analysis unit is used to calculate and count the total discharge times of the discharge induction module 1, the effective discharge times obtained based on the effective monitoring data, the detected discharge times obtained based on the discharge situation data, and the wake-up times obtained based on the partial discharge analysis data, and output the statistical results.

[0040] Specifically, the hierarchical data processing architecture constructs a complete data traceability chain. The data association record ensures the precise synchronization of multi-dimensional data in time, while the screening and statistics unit screens out the key monitoring data and quantifies the system performance indicators, providing automated and structured data support for the analysis of test results.

[0041] The signal output end of the capacitive voltage divider 2 is also connected to an oscilloscope 3.

[0042] Specifically, the introduction of the oscilloscope 3 enables real-time visual monitoring of the voltage waveform. By observing the characteristics of voltage transient changes, the operator can assist in judging whether the discharge process meets the preset conditions, and at the same time provide an intuitive waveform basis for the analysis of abnormal discharge events, enhancing the controllability and debugging convenience of the simulation detection device.

[0043] A protection resistor 9 is connected in series between the output end of the transformer and the signal acquisition module.

[0044] Specifically, the design of the protection resistor 9 effectively suppresses the impact of high-voltage signals on the discharge induction module 1, maintains the stability of the simulation circuit, extends the service life of the device, and reduces the maintenance cost.

[0045] The ground simulation module is an aluminum plate with a size of 5m×5m.

[0046] Specifically, using an aluminum plate as the ground simulation module not only ensures good electrical conductivity with the grounding system but also, due to the excellent structural strength and corrosion resistance of the metal material, ensures the stability and long-term reliability of the simulation scenario. Its lightweight design also facilitates the spatial layout and adjustment of the simulation device.

[0047] Embodiment 2 A method for using the simulation detection device for testing the tree-line monitoring and warning system, applying the simulation detection device provided in Embodiment 1, includes the following steps: Step of building the simulation scenario: Prepare the test tree 8, trim the top of the test tree 8 to ensure that the top shape of the test tree 8 is consistent with the actual scenario and avoid the influence of the structure on the electric field distribution; assemble the test tree 8 on the tree suspension and moving mechanism, connect the bottom of the test tree 8 to the ground simulation module through a connecting wire, assemble the simulation wire on the wire suspension and support mechanism 6, electrically connect the two ends of the discharge induction module 1 to the test tree 8 and the simulation wire respectively to form a simulation circuit, and assemble the signal acquisition module of the tree-line monitoring and warning system on the simulation module; Operating steps of the tree line monitoring and early warning system: Turn on the signal acquisition module to collect the ultrasonic signals between the test sample tree 8 and the simulated wire in the simulation module in real time; the signal acquisition module sends the acquired ultrasonic signals to the discharge analysis module, and the discharge analysis module processes the ultrasonic signals to determine whether a tree flash phenomenon occurs between the test sample tree 8 and the simulated wire. If it is determined that no tree flash phenomenon occurs, a sleep instruction is sent to the processing module. After receiving the sleep instruction, the energy harvesting module in the processing module stops powering the image verification module and the data upload module. If it is determined that a tree flash phenomenon occurs, a wake-up instruction is sent to the processing module and the monitoring module. After receiving the wake-up instruction, the monitoring module records the number of times the tree line monitoring and early warning system is awakened. After receiving the wake-up instruction, the energy harvesting module in the processing module starts to power the image verification module and the data upload module. The image verification module takes pictures and videos of the image between the test sample tree 8 and the simulated wire and transmits the obtained image data to the data upload module. The data upload module uploads the received image data to the next-level processing device; Steps for simulating the operation of the detection device: Deploy the discharge condition detection module 7, sleeving the high-frequency current transformer on the simulated wire, and assembling the capacitive coupling sensor on or around the test tree 8. The control module controls the discharge induction module 1 to start, increasing the electric field strength between the tree and the transmission line to the rated value. For example, for a 110 kV voltage level, the voltage applied to the simulated wire is 63.5 kV. The control module controls the tree suspension moving mechanism to gradually move the test tree 8 closer to the simulated wire, with the height increasing by 2 - 4 cm each time. In this embodiment, the selected height increase is 3 cm. The discharge condition judgment module determines whether tree flash occurs between the test tree 8 and the simulated wire at different heights based on the current signal at the simulated wire obtained by the high-frequency current transformer and the electric field signal between the test tree 8 and the simulated wire obtained by the capacitive coupling sensor. The discharge condition judgment module transmits the judgment result, the current signal, and the current signal as discharge condition data to the monitoring module; The data receiving unit in the monitoring module receives the observation data obtained by the observation module, the discharge condition data obtained by the discharge condition detection module 7, the partial discharge analysis data obtained by the discharge analysis module, the output voltage of the transformer obtained by the capacitive voltage divider 2, and the clearance distance between the test tree 8 and the simulated wire as the original data, and transmits the original data to the data recording unit; The data recording unit correlates the observation data, the discharge condition data, the partial discharge analysis data, and the output voltage of the transformer at the same moment. Each group of data is repeated 3 times and averaged to form the simulated monitoring data at that moment, and the simulated monitoring data is transmitted to the data screening unit; The data screening unit screens out the simulated monitoring data in the 20 - 400 kHz pulse frequency band as the effective monitoring data, and transmits the effective monitoring data to the data analysis unit; The data analysis unit calculates and counts the total discharge times of the discharge induction module 1, the effective discharge times obtained based on the effective monitoring data, the detected discharge times obtained based on the discharge condition data, and the wake-up times obtained based on the partial discharge analysis data, and outputs the statistical results; Steps for analyzing the detection results: According to the statistical results, compare the effective discharge times, the detected discharge times with the wake-up times of the tree-line monitoring and warning system to verify the accuracy of the tree-line monitoring and warning system. At the same time, when the tree-line monitoring and warning system is awakened, compare the line pictures captured by the processing module with the number of photons recorded in real-time by the ultraviolet imaging device 4 and the microscopic discharge patterns synchronously recorded by the high-speed camera 5 to verify the accuracy of the warning of the tree-line monitoring and warning system.

[0048] Such as Figure 2As shown, it is the discharge process captured by the ultraviolet imaging device 4 when the test sample tree 8 gradually approaches the simulated conductor. As the top of the test sample tree 8 gradually approaches the simulated conductor, invisible discharge first appears, accompanied by a hissing sound of a certain intensity. At this time, the clearance distance between the tree and the line is about 40 - 45 cm, and the photon count of the ultraviolet imaging device 4 reaches the range of 400 - 700; when the clearance distance between the tree and the line further approaches and reaches 25 - 40 cm, a more intense discharge occurs, the discharge sound becomes louder, and the discharge sound is characterized by intermittent breaks. Both the discharge condition detection module 7 and the oscilloscope 3 monitor relatively stable discharge pulses, and the photon count fluctuates back and forth between 850 - 1600, generating stable discharges. When the clearance distance is less than 25 cm, the gap is instantaneously broken down, and the transformer protection operates and trips.

[0049] A large number of discharge waveforms are monitored through the discharge condition detection module 7. Among them, typical waveforms include those in Figure 3 Figure (a) showing the waveform at the initial stage of the tree obstacle hidden danger, and those in Figure 3 Figure (b) showing the waveform at the development stage of the tree obstacle hidden danger. It can be seen from Figure 3 that the discharge pulses mainly occur near the positive and negative peak values of the voltage applied to the simulated conductor, and near one peak value, there are often 3 - 10 intensive discharges. Due to the dispersion of the discharges, statistical analysis is carried out on a large amount of waveform data to obtain the characteristic parameters of the discharge pulses. During the test process, the average value of the current pulses, the rise time, the half - peak time, the duration, the phase interval, and the pulse frequency under the discharge of each stage are statistically analyzed. The rise time represents the time required for the current waveform to rise from 10% of the peak value to 90% of the peak value. The half - peak time is the time from 10% of the peak value in the rising stage of the waveform to 50% of the peak value in the falling stage. The duration is the time from 10% of the peak value in the rising stage of the current waveform to 10% of the peak value in the falling stage. The above several time indicators all use the average value. The lower limit of the phase interval is the minimum phase of all pulse phases, and the upper limit is the maximum phase of all pulse phases. The pulse frequency is the average value of the number of pulses appearing in the discharge process per 1 s. Through statistical analysis of a large number of pulses, the statistical results are shown in Table 1. That is, in this embodiment, the accuracy rate of the tree - line monitoring and early - warning system for monitoring tree obstacles is 85.13%.

[0050] Table 1 Test Statistical Results In this article, specific embodiments are used to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be noted that for those of ordinary skill in the art of this technology, without departing from the principle of the present invention, several improvements and modifications can still be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

[0051] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present invention is usually placed during use. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention.

[0052] In the description of the present invention, it should also be noted that unless otherwise clearly specified and defined, the terms "set", "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Claims

1. A simulation detection device for testing a tree line monitoring and early warning system, comprising a simulation module, a control module and a monitoring module, characterized in that, The simulation module includes a discharge induction module, a suspension simulation module, a ground simulation module, a simulated wire, and a test tree. The suspension simulation module includes a wire suspension support mechanism and a tree suspension moving mechanism. The simulated wire is assembled on the wire suspension support mechanism, and the test tree is assembled on the tree suspension moving mechanism. The tree suspension moving mechanism can drive the test tree to move relative to the simulated wire. The bottom end of the test tree is connected to the ground simulation module through a connection line. The two ends of the discharge induction module are electrically connected to the test tree and the simulated wire respectively to form a simulation circuit. The tree-line monitoring and warning system includes a signal acquisition module, a discharge analysis module, and a processing module. The signal acquisition module is assembled on the simulation module and is used to collect ultrasonic signals between the test tree and the simulated wire in the simulation module. The discharge analysis module is signal-connected to the signal acquisition module and is used to perform partial discharge analysis based on the ultrasonic signals and send a wake-up signal or a sleep signal to the processing module according to the analysis results. The control module is signal-connected to the discharge induction module, the tree suspension moving mechanism, and the monitoring module respectively, and the monitoring module is signal-connected to the discharge analysis module.

2. The analog detection device for testing the tree line monitoring and early warning system according to claim 1, characterized in that, It further includes a discharge condition detection module. The discharge condition detection module includes a high-frequency current transformer sleeved on the simulated wire and / or a capacitive coupling sensor assembled on or around the test tree, and a discharge condition judgment module. The high-frequency current transformer is used to obtain the current signal of the simulated wire. The capacitive coupling sensor is used to obtain the electric field signal between the test tree and the simulated wire. The high-frequency current transformer and / or the capacitive coupling sensor are signal-connected to the discharge condition judgment module, and the discharge condition judgment module is signal-connected to the monitoring module.

3. The simulation detection device for testing of the tree line monitoring and early warning system according to claim 2, characterized in that, It further includes an observation module. The observation module includes an ultraviolet imaging device and / or a high-speed camera. The observation module is signal-connected to the monitoring module.

4. The analog detection device for testing the tree line monitoring and early warning system according to claim 3, wherein, The discharge induction module is a transformer. The discharge induction module is connected in parallel with a capacitive voltage divider. The capacitive voltage divider is used to measure the output voltage of the transformer. The signal output end of the capacitive voltage divider is signal-connected to the monitoring module.

5. The simulation detection device for testing the tree line monitoring and warning system according to claim 4, characterized in that, The monitoring module is provided with a data receiving unit, a data recording unit, a data screening unit, and a data analysis unit. The data receiving unit is used to receive the observation data obtained by the observation module, the discharge condition data obtained by the discharge condition detection module, the partial discharge analysis data obtained by the discharge analysis module, and the output voltage of the transformer obtained by the capacitive voltage divider. The data recording unit is used to associate the observation data, the discharge condition data, the partial discharge analysis data, and the output voltage of the transformer at the same moment to form the simulated monitoring data at this moment. The data screening unit is used to screen out the simulated monitoring data in the specified pulse frequency band as the effective monitoring data. The data analysis unit is used to calculate and count the total discharge times of the discharge induction module, the effective discharge times obtained based on the effective monitoring data, the detected discharge times obtained based on the discharge condition data, and the wake-up times obtained based on the partial discharge analysis data, and output the statistical results.

6. The analog detection device for testing the tree line monitoring and early warning system according to claim 4, characterized in that The signal output terminal of the capacitive voltage divider is also connected to an oscilloscope.

7. The analog detection device for testing the tree line monitoring and early warning system according to claim 4, characterized in that A protective resistor is connected in series between the output terminal of the transformer and the signal acquisition module; the ground simulation module is an aluminum plate.

8. A method of using a simulation detection device for testing a tree line monitoring and early warning system, which is applied to the simulation detection device for testing a tree line monitoring and early warning system according to any one of claims 1-7, characterized in that, It includes the following steps: Step of building a simulation scenario: Prepare a test sample tree, trim the top of the test sample tree to ensure that the top shape of the test sample tree is consistent with the actual scenario; Assemble the test sample tree on the tree hanging and moving mechanism, connect the bottom of the test sample tree to the ground simulation module through a connecting wire, assemble the simulation wire on the wire hanging and supporting mechanism, electrically connect the two ends of the discharge induction module to the test sample tree and the simulation wire respectively to form a simulation loop, and assemble the signal acquisition module of the tree-line monitoring and warning system on the simulation module; Step of running the tree-line monitoring and warning system: Turn on the signal acquisition module to collect ultrasonic signals between the test sample tree and the simulation wire in the simulation module in real time; The signal acquisition module sends the acquired ultrasonic signals to the discharge analysis module, and the discharge analysis module processes the ultrasonic signals to determine whether a tree flash phenomenon occurs between the test sample tree and the simulation wire. If it is determined that no tree flash phenomenon occurs, a sleep instruction is sent to the processing module. After receiving the sleep instruction, the energy harvesting module in the processing module stops powering the image verification module and the data upload module. If it is determined that a tree flash phenomenon occurs, a wake-up instruction is sent to the processing module and the monitoring module. After receiving the wake-up instruction, the monitoring module records the number of times the tree-line monitoring and warning system is woken up. After receiving the wake-up instruction, the energy harvesting module in the processing module starts to power the image verification module and the data upload module. The image verification module takes pictures and / or videos of the area between the test sample tree and the simulation wire and transmits the obtained image data to the data upload module. The data upload module uploads the received image data to the next-level processing device; Step of running the simulation detection device: The control module controls the discharge induction module to start, increases the electric field strength between the tree and the transmission line to the rated value, the control module controls the tree hanging and moving mechanism to control the test sample tree to gradually approach the simulation wire, and the control module controls the monitoring module to monitor whether a tree flash phenomenon occurs between the test sample tree and the simulation wire and records the number of detected discharges; Step of analyzing the detection results: Compare the number of effective discharges, the number of detected discharges with the number of times the tree-line monitoring and warning system is woken up to verify the accuracy of the tree-line monitoring and warning system.

9. The method of using the simulation detection device for testing the tree line monitoring and early warning system according to claim 8, characterized in that Deploy a discharge condition detection module in the step of running the simulation detection device, sleave a high-frequency current transformer on the simulation wire and / or assemble a capacitive coupling sensor on or around the test sample tree. The discharge condition judgment module determines whether a tree flash phenomenon occurs between the test sample tree and the simulation wire based on the current signal at the simulation wire obtained by the high-frequency current transformer and / or the electric field signal between the test sample tree and the simulation wire obtained by the capacitive coupling sensor. The discharge condition judgment module transmits the judgment result to the monitoring module, and the monitoring module records the number of detected discharges according to the judgment result transmitted by the discharge condition judgment module.

10. The method of using the simulation detection device for testing the tree line monitoring and warning system according to claim 8, characterized in that, The data receiving unit within the operation step monitoring module of the simulation detection device receives the observation data obtained by the observation module, the discharge condition data obtained by the discharge condition detection module, the partial discharge analysis data obtained by the discharge analysis module, the output voltage of the transformer obtained by the capacitive voltage divider, and the clearance distance between the test tree and the simulated wire as the original data, and transfers the original data to the data recording unit; the data recording unit correlates the observation data, the discharge condition data, the partial discharge analysis data, and the output voltage of the transformer at the same moment to form the simulation monitoring data at that moment, and transfers the simulation monitoring data to the data screening unit; The data screening unit screens out the simulation monitoring data in the specified pulse frequency band as the effective monitoring data, and transfers the effective monitoring data to the data analysis unit; the data analysis unit calculates and counts the total number of discharges of the discharge induction module, the number of effective discharges obtained based on the effective monitoring data, the number of detected discharges obtained based on the discharge condition data, and the number of awakenings obtained based on the partial discharge analysis data, and outputs the statistical results.

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