Insulator detection device and detection method

By adopting a modular control box and an electromagnetic shielding device in the insulator detection device, combined with shielding performance detection and signal recovery technology, the problem of poor detection stability in complex electromagnetic environments is solved, and high-precision and stable insulator detection are achieved.

CN119044702BActive Publication Date: 2025-02-18国网陕西省电力有限公司 +2
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Patent Information

Application Number
CN202411471670.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-22
Publication Date
2025-02-18
Estimated Expiration
2044-10-22

AI Technical Summary

Technical Problem

The prior art has poor equipment stability in complex electromagnetic environments and is prone to signal distortion or missed detection.

Method used

An insulator detection device is designed, using a modular control box, including a core control box and multiple sub-control boxes, and is detected by an electromagnetic shielding device. The device includes shielding performance detection, index change analysis and signal recovery units to ensure the stability and accuracy of detection in a high electromagnetic interference environment.

Benefits of technology

Through modular design, shielding performance evaluation and signal recovery, detection stability and accuracy in complex electromagnetic interference environments are improved, providing guarantees for the safe operation of the power system.

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Abstract

The present application provides an insulator detection device and a detection method, which relates to the field of insulator detection technology, including: a control box determination unit, used to determine a modular control box; a shielding effectiveness detection unit, used to obtain N shielding effectiveness indicators; an indicator change analysis unit, used to output an identification sub-control box; a signal recovery unit, used to output a recovery detection signal of the identification sub-control box; a detection result output unit, used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification sub-control box, and the real-time detection signal of the non-identification sub-control box. The present application can solve the technical problem in the prior art that the stability of the equipment is poor in a complex electromagnetic environment, which leads to easy signal distortion or missed detection, so as to improve the detection stability and accuracy in a complex electromagnetic interference environment, and provide a technical effect of guaranteeing the safe operation of the power system.
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Description

Technical Field

[0001] The present application relates to the technical field of insulator detection, and in particular to an insulator detection device and a detection method. Background Art

[0002] In high-voltage transmission lines, insulators are important components that support conductors, and their insulation performance plays a key role in the safe operation of the power system. At present, the detection of insulators mainly adopts manual detection and non-contact detection methods based on infrared, ultrasonic and other detection equipment. Insulator degradation poses a serious threat to the safe and stable operation of the power system. Insulator operation and maintenance work such as zero-value detection, cleaning and decontamination, and spraying of insulating materials on insulators needs to be carried out frequently. Since insulators are in strong electromagnetic conditions when energized, they greatly interfere with manual and robot operations.

[0003] To address the current problem, it is necessary to design a detection method that will not be broken down by high voltage in a strong electromagnetic environment and whose readings will not be affected by strong electromagnetic interference. Summary of the invention

[0004] The purpose of the present application is to provide an insulator detection device and a detection method, so as to solve the technical problem in the prior art that the stability of the equipment is poor under a complex electromagnetic environment, which leads to easy signal distortion or missed detection.

[0005] In view of the above problems, the present application provides an insulator detection device and a detection method.

[0006] In a first aspect, the present application provides an insulator detection device, comprising: a control box determination unit, used to determine a modular control box for insulator detection, the modular control box comprising a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; a shielding effectiveness detection unit, used to embed a shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes, perform shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes; an indicator change analysis unit, used to analyze the N The indicator changes of the shielding effectiveness index are analyzed, and if the decline of any shielding effectiveness index is greater than the preset decline, an identification sub-control box is output, and the identification sub-control box is a sub-control box with a risk of shielding failure; a signal recovery unit is used to send the real-time detection signal of the identification sub-control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal, and output the recovery detection signal of the identification sub-control box; a detection result output unit is used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification sub-control box and the real-time detection signal of the non-identification sub-control box.

[0007] In a second aspect, the present application also provides an insulator detection method, comprising: determining a modular control box for insulator detection, the modular control box comprising a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; embedding a shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes respectively, performing shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtaining N shielding effectiveness indicators corresponding to the N auxiliary control boxes; analyzing the indicator changes of the N shielding effectiveness indicators, and if the decrease degree of any shielding effectiveness indicator is greater than a preset decrease degree, outputting an identification auxiliary control box, the identification auxiliary control box is a auxiliary control box with a risk of shielding failure; sending the real-time detection signal of the identification auxiliary control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal, and outputting a recovery detection signal of the identification auxiliary control box; outputting the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification auxiliary control box and the real-time detection signal of the non-identification auxiliary control box.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] A control box determination unit is used to determine a modular control box for insulator detection, wherein the modular control box includes a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; a shielding effectiveness detection unit is used to embed a shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes, perform shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes; an indicator change analysis unit is used to analyze the indicator changes of the N shielding effectiveness indicators. The analysis is carried out. If the decline of any shielding effectiveness index is greater than the preset decline, the identification sub-control box is output, and the identification sub-control box is a sub-control box with the risk of shielding failure; the signal recovery unit is used to send the real-time detection signal of the identification sub-control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal and output the recovery detection signal of the identification sub-control box; the detection result output unit is used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification sub-control box and the real-time detection signal of the non-identification sub-control box. Through modular design, shielding effectiveness evaluation, and signal recovery, the technical effect of improving the detection stability and accuracy in complex electromagnetic interference environments and providing guarantee for the safe operation of the power system is achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This is a structural schematic diagram of an insulator detection device for this application;

[0013] Figure 2 An axonometric diagram of a modular control box in an insulator detection device of the present application;

[0014] Figure 3 This is a flow chart of an insulator detection method according to the present application.

[0015] Description of reference numerals:

[0016] Control box determination unit 11, shielding effectiveness detection unit 12, index change analysis unit 13, signal recovery unit 14, detection result output unit 15, core control box 20, spherical shielding antenna 21, sub-control box No. 1 22, sub-control box No. 2 23, sub-control box No. 3 24, sub-control box No. N 25. DETAILED DESCRIPTION

[0017] This application provides an insulator detection device and detection method to solve the technical problem in the prior art that the stability of the equipment is poor in complex electromagnetic environments, which leads to signal distortion or missed detection. Through modular design, shielding effectiveness evaluation, and signal recovery, the detection stability and accuracy in complex electromagnetic interference environments are improved, providing a technical effect of ensuring the safe operation of the power system.

[0018] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0019] For example, please refer to the attached Figure 1 , the present application provides an insulator detection device, specifically comprising:

[0020] The control box determination unit 11 is used to determine a modular control box for insulator detection, wherein the modular control box includes a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device.

[0021] Furthermore, the electromagnetic shielding device includes a spherical shielding antenna, an embracing tip drainage device and an external shielding shell; wherein the spherical shielding antenna is led out from the core control box, passes through the external shielding shell of the core control box, and is surrounded by the embracing tip drainage device to form protection.

[0022] Furthermore, the core control box and the N auxiliary control boxes are all provided with the external shielding shell, and each auxiliary control box is provided with a shielding tube, and the external shielding shell and the shielding tube of each auxiliary control box are integrally formed.

[0023] Specifically, the modular control box is used for insulator testing, see the attached Figure 2 The modular control box is composed of a core control box and N auxiliary control boxes, the purpose of which is to improve the flexibility and adaptability of insulator detection operations. The core control box and the N auxiliary control boxes work together through an electromagnetic shielding device to ensure that each box operates stably in a high electromagnetic interference environment. Figure 2 As shown, the modular control box includes a core control box 20, a spherical shielding antenna 21, a sub-control box No. 1 22, a sub-control box No. 2 23, a sub-control box No. 3 24, and a sub-control box No. N 25, where N refers to the actual number of sub-control boxes.

[0024] The electromagnetic shielding device includes a spherical shielding antenna, an embracing tip drainage device and an external shielding shell. Preferably, the external shielding shell is an FR4 insulating shielding shell to achieve comprehensive protection against electromagnetic interference. Each auxiliary control box is provided with a shielding tube. Preferably, the shielding tube is an FR4 insulating shielding tube. The external shielding shell of the auxiliary control box is integrated with the shielding tube to ensure the continuity and integrity of the shielding effect.

[0025] The spherical shielding antenna is led out from the core control box, passes through the special opening of the outer shielding shell of the core control box, and an embracing tip drainage device is arrayed around the spherical shielding antenna, so that the spherical shielding antenna is surrounded by the embracing tip drainage device. The surrounding is surrounded by the embracing tip drainage device to form protection. Due to the tip discharge principle in physics, the high-voltage arc will be led away by the embracing tip drainage device and will not affect the spherical shielding antenna.

[0026] The shielding effectiveness detection unit 12 is used to embed the shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes respectively, perform shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes.

[0027] Specifically, the N sub-control boxes serve as edge nodes, directly contacting the external environment, and undertake the tasks of preliminary detection and data transmission. Each sub-control box is regarded as an independent node and participates in the evaluation of electromagnetic shielding effectiveness. The shielding effectiveness evaluation module will detect the shielding effectiveness of each sub-control box one by one, and generate its corresponding N shielding effectiveness indicators by evaluating the electromagnetic shielding capability of each sub-control box. The shielding effectiveness index is used to measure the shielding effect of the sub-control box under different electromagnetic interference conditions, such as the attenuation degree of electromagnetic field strength and the shielding effect of arc interference. It ensures that insulator detection operations can still be carried out stably and effectively in complex electromagnetic environments, and by monitoring the changes in the shielding effectiveness index, the status of the sub-control box can be monitored and adjusted in real time to prevent external electromagnetic interference from affecting the detection readings and ensure the integrity and stability of data transmission.

[0028] The indicator change analysis unit 13 is used to analyze the indicator changes of the N shielding effectiveness indicators. If the decrease degree of any shielding effectiveness indicator is greater than a preset decrease degree, an identification sub-control box is output, and the identified sub-control box is a sub-control box with a risk of shielding failure.

[0029] Specifically, the N shielding effectiveness indicators reflect the shielding ability of the corresponding sub-control box in the electromagnetic interference environment. However, over time, some sub-control boxes may experience a decline in shielding effectiveness due to material aging, environmental changes or other reasons. To this end, it is necessary to analyze the changing trend of the shielding effectiveness indicators of each sub-control box. Compare the current shielding effectiveness indicators with historical data, paying special attention to the decline in the indicators. The decline here refers to the decline ratio of the shielding effectiveness indicators of the sub-control box compared with the baseline value or the historical average. In order to prevent shielding failure, professional and technical personnel in this field set a preset decline degree based on practical experience to determine whether the decline in shielding effectiveness has reached a dangerous level. Once the decline in the shielding effectiveness indicator of any sub-control box exceeds the preset decline degree, the sub-control box will be identified. At this time, the sub-control box will be regarded as a device with potential shielding failure risk. The sub-control box that may fail can be found in time before the problem occurs, so that signal repair measures can be taken to ensure the integrity and stability of data transmission.

[0030] For example, in one test, the preset drop threshold was 10%. After running for 12 hours under strong electromagnetic interference conditions, the test data showed that the shielding effectiveness of a certain auxiliary control box dropped from the initial 85% to 75%, a drop of 11.8%, exceeding the preset 10% threshold, marking the auxiliary control box as a device with a risk of shielding failure, thereby effectively identifying the auxiliary control box with reduced shielding effectiveness, ensuring the continuous and stable operation of insulator detection, and reducing the risk of failure in a high electromagnetic interference environment.

[0031] The signal recovery unit 14 is used to send the real-time detection signal of the identification auxiliary control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal and output the recovery detection signal of the identification auxiliary control box.

[0032] Specifically, when a sub-control box is identified as having a potential risk of shielding failure, the real-time detection signal of the sub-control box needs to be processed to ensure the accuracy of its detection data. Specifically, the real-time detection signal detected by the identified sub-control box is subject to electromagnetic interference due to the reduction in shielding effectiveness, and certain distortion or data deviation will appear in the real-time detection signal. At this time, the signal recovery module will receive the real-time detection signal of the sub-control box and recover it based on the detection signals of other unidentified sub-control boxes. The detection signal of the unidentified sub-control box can provide benchmark data for the signal recovery of the identified sub-control box due to its good shielding effectiveness. The signal recovery module compares the signal characteristics of the unidentified sub-control box with the distorted signal of the identified sub-control box, and uses historical data and association algorithms to predict the real-time detection signal of the identified sub-control box to generate a predicted detection signal. The predicted detection signal represents the ideal signal value after the interference is eliminated. Next, the signal recovery module will correct and restore the real-time detection signal that identifies the sub-control box based on the predicted detection signal, and finally output a restored detection signal. Through this signal recovery mechanism, even if the sub-control box partially fails or the shielding effectiveness is reduced, the accuracy and reliability of the detection data can still be ensured, avoiding misjudgment or data loss due to signal distortion.

[0033] The detection result output unit 15 is used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification auxiliary control box and the real-time detection signal of the non-identification auxiliary control box.

[0034] Specifically, as the main node of the entire insulator detection, the core control box is responsible for integrating and analyzing the global detection signals. The real-time detection signal of the core control box comes from its direct electromagnetic signal collection of the insulator, which represents the overall performance of the insulator in the electromagnetic environment. For the identification sub-control box, due to the reduction of its shielding effectiveness, its detection signal needs to be restored. Through the aforementioned signal recovery module, the recovery detection signal of the identification sub-control box is the signal data after correction and prediction, which eliminates the signal error caused by electromagnetic interference or shielding failure as much as possible, and ensures the accuracy of the restored signal. The real-time detection signal of the non-identification sub-control box is usually not interfered with because its shielding effectiveness remains good. These three types of signals are summarized, and the current state of the insulator can be judged by comparing the change trend, amplitude and consistency of these signals, and the insulator detection results can be generated. For example, in an insulator detection experiment under a high electromagnetic interference environment, the real-time detection signal of the core control box shows that the insulation efficiency of the insulator has decreased by about 5%. At the same time, the detection signal of a certain identification auxiliary control box shows that the insulation performance has decreased by 9%, and the real-time detection signal of the non-identification auxiliary control box shows that the insulation performance has decreased by 7%. Through weighted average calculation, the output insulator detection result shows that its deterioration degree is 7%, indicating that maintenance is required. The degree of insulation performance degradation can be obtained by comparing the difference between the detection signals of the core control box and the auxiliary control box and the standard detection signal under the safe operation state of the insulator. In this way, the influence of adverse factors such as electromagnetic interference and reduced shielding effectiveness can be effectively resisted, ensuring the accuracy and reliability of the insulator detection results.

[0035] Furthermore, the shielding effectiveness detection unit 12 in the insulator detection device is also used for:

[0036] Obtain the shielding shell material information of each auxiliary control box, including conductivity, magnetic permeability and thickness; obtain the external environment electromagnetic strength information of each auxiliary control box, including electromagnetic field strength and electromagnetic interference frequency; perform shielding effect detection according to the shielding shell material information and the external environment electromagnetic strength information, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes.

[0037] Specifically, the shielding shell material information includes three key parameters: conductivity, magnetic permeability and thickness. Conductivity reflects the ability of the material to conduct current, magnetic permeability measures the efficiency of the material in transmitting magnetic fields, and thickness affects the material's ability to block electromagnetic waves. These parameters together determine the shielding performance of the shielding shell of the sub-control box. By measuring these material parameters, the shielding effect of the sub-control box in the face of electromagnetic interference can be predicted. Secondly, it is also necessary to obtain the electromagnetic intensity information of the external environment of each sub-control box, including two important variables: electromagnetic field intensity and electromagnetic interference frequency. Electromagnetic field intensity is the intensity of electromagnetic interference, the unit is V / m, which indicates the strength of electromagnetic waves in the environment where the sub-control box is located; and electromagnetic interference frequency refers to the frequency of the interference signal, usually in Hz, which determines the fluctuation frequency of the interference. Different electromagnetic field intensities and interference frequencies have different effects on the shielding effect, so these variables need to be recorded and analyzed in detail.

[0038] After obtaining the shielding shell material information and the external environment electromagnetic strength information, the shielding effect is tested. By combining the conductivity, magnetic permeability and thickness parameters of the shielding shell, its shielding effect in a specific electromagnetic environment is evaluated. This process includes simulating the performance of the sub-control box in electromagnetic interference environments of different intensities and frequencies, and evaluating its shielding ability against external electromagnetic interference. Specifically, the shielding effectiveness evaluation module can be trained by professionals in this field in combination with historical shielding effect records. The historical shielding effect records include historical shielding shell material information and historical external environment electromagnetic strength information, as well as shielding effectiveness index samples configured by professionals in this field in combination with historical shielding effects. Using historical shielding shell material information and historical external environment electromagnetic strength information as training inputs, and shielding effectiveness index samples as output supervision truth values, a shielding effectiveness evaluation module is constructed based on existing machine learning models, such as neural network model training.

[0039] For example, the shielding shell material of a certain auxiliary control box has a conductivity of 5.8×10^7S / m, a magnetic permeability of 1000H / m, a thickness of 5mm, an interference frequency of the electromagnetic environment of 50Hz, and an electromagnetic field strength of 6000V / m. It is input into the shielding effectiveness evaluation module for analysis, and the shielding effectiveness index of the auxiliary control box is 87%. Thus, a corresponding shielding effectiveness index can be generated for each auxiliary control box. These indicators are used to quantify the shielding capability of the auxiliary control box in different electromagnetic environments and ensure the stable operation of the insulator detection device in a complex electromagnetic environment.

[0040] Furthermore, the indicator change analysis unit 13 in the insulator detection device is also used for:

[0041] Set the decrease degree of the same known signal and multiple shielding effectiveness indicators; test each sub-control box according to the decrease degree of the same known signal and the multiple shielding effectiveness indicators to obtain a test signal set; calculate the signal deviation between the test signal set and the known signal, and configure the preset decrease degree of each sub-control box according to the size of the signal deviation.

[0042] Specifically, the known signal is a standard signal used to detect shielding effectiveness, usually an electromagnetic signal with known frequency and intensity, which serves as a reference for subsequent tests. The decline of the shielding effectiveness index is the degree to which the shielding effectiveness of the sub-control box decreases over time or environmental changes, which is used to evaluate its decay during long-term operation. Next, each sub-control box is tested separately according to the set known signal and the decline of multiple shielding effectiveness indicators. At this time, each sub-control box will receive the same known signal, and a set of test signal sets will be generated by monitoring the shielding effectiveness changes of each sub-control box. The test signal set contains the detection signal data output by each sub-control box, which is used to evaluate the shielding capability of each sub-control box. After obtaining the test signal set, each test signal in the test signal set is compared with the original known signal, and the signal deviation between each test signal and the original known signal is calculated. The signal deviation reflects the quality of the shielding effectiveness of the sub-control box. The smaller the difference, the better the shielding effectiveness, and the larger the deviation, the shielding effect may have problems. Furthermore, professional and technical personnel in this field may set the signal deviation allowed during actual detection in combination with the existing technology, and obtain the drop degree corresponding to the allowed signal deviation as the preset drop degree.

[0043] Exemplarily, in the test, the known signal is set as an electromagnetic wave with a frequency of 100 Hz and an intensity of 5000 V / m. After testing a certain sub-control box according to the decrease in multiple shielding effectiveness indicators, a set of test signal sets is generated. By calculating the signal deviation, it is found that some signal deviations reach 8%, and some signal deviations are below 5%. However, based on actual experience, the signal deviation is below 5%, which has no effect on actual operation. Therefore, the decrease in the shielding effectiveness indicator corresponding to the signal deviation of 5% is selected as the preset decrease of the sub-control box to ensure that it can detect the decrease in shielding effectiveness in time during future operation.

[0044] Furthermore, the signal recovery unit 14 in the insulator detection device is also used for:

[0045] Acquire the real-time detection signal of the non-identification sub-control box; send the real-time detection signal of the identification sub-control box to the signal recovery module, perform signal prediction on the identification sub-control box according to the real-time detection signal of the non-identification sub-control box, and output the predicted detection signal; perform signal recovery on the real-time detection signal of the identification sub-control box according to the predicted detection signal, and output the recovered detection signal of the identification sub-control box.

[0046] Specifically, a non-identification sub-control box refers to a sub-control box whose shielding effectiveness index decreases less than or equal to a preset decrease. The real-time detection signal of the identification sub-control box is sent to the signal recovery module. Since the shielding effectiveness of the identification sub-control box has been affected, its real-time detection signal may be distorted or erroneous. Therefore, the role of the signal recovery module is to analyze the real-time detection signal of the non-identification sub-control box and predict the signal of the identification sub-control box to estimate the normal signal state of the sub-control box under ideal conditions. When performing signal prediction, the real-time detection signal of the non-identification sub-control box is comprehensively analyzed, and the predicted detection signal of the identification sub-control box is derived based on these signals. The predicted detection signal is an estimate of the signal of the identification sub-control box in a normal working state under electromagnetic interference, and is inferred by associating the data of other sub-control boxes.

[0047] Once the predicted detection signal is generated, the real-time detection signal of the identification sub-control box is restored. By comparing the predicted detection signal with the actual received real-time detection signal, the deviation caused by interference is eliminated, and a corrected recovery detection signal is output. The recovery detection signal can replace the original detection signal for subsequent analysis to ensure the integrity and accuracy of the data. For example, under the condition of an electromagnetic interference intensity of 6000V / m, the detection signal of a certain identification sub-control box has a deviation of about 12%. Through the signal recovery module, the signals of the other four non-identification sub-control boxes are used as references to generate the predicted detection signal of the identification sub-control box. Finally, through the signal recovery operation, the error of the recovery detection signal of the identification sub-control box is reduced to 1.5%, which improves the accuracy of the signal and ensures that even if the shielding effectiveness of some sub-control boxes decreases, accurate data output can still be maintained through the correction of real-time signals, thereby ensuring the overall reliability of insulator detection.

[0048] Furthermore, the signal recovery unit 14 in the insulator detection device is also used for:

[0049] Acquire detection parameter items of each of the N sub-control boxes; perform correlation analysis on the detection parameter items of the N sub-control boxes to acquire edge topological relationships of the N sub-control boxes, wherein the length of an edge in the edge topological relationship corresponds to the magnitude of the correlation; generate a signal recovery training data set according to the edge topological relationship, including detection signals of each sub-control box and label information characterizing the data association between the sub-control boxes; perform training according to the signal recovery training data set to obtain a signal recovery module through training.

[0050] Specifically, the steps of constructing the signal recovery module include: first, obtaining the detection parameter items of each of the N sub-control boxes, including the signal detection results of each sub-control box in actual operation, such as electromagnetic field strength, frequency, signal noise level, etc. These parameters are important bases for evaluating shielding effectiveness and signal accuracy, and are also basic data for subsequent signal recovery training. Next, the detection parameter items of the N sub-control boxes are subjected to correlation analysis. Specifically, the correlation coefficient can be obtained by using existing correlation analysis methods, such as gray correlation analysis of the correlation of the detection parameter items of the N sub-control boxes, wherein there is a correlation coefficient between any two sub-control boxes. The purpose of the correlation analysis is to determine the relationship between each sub-control box. By analyzing the correlation between the detection signal of each sub-control box and the signal of other sub-control boxes, the edge topology relationship between the sub-control boxes can be constructed. In the edge topology relationship, the node represents the sub-control box, and the length of the edge represents the size of the correlation between any two sub-control boxes. The stronger the correlation, the shorter the edge, and vice versa.

[0051] Based on the above edge topology, the generated signal recovery training data set contains the detection signals of each sub-control box, and also includes label information that characterizes the correlation between the sub-control boxes. The label information is used to indicate the correlation strength between the sub-control boxes, thereby providing a reference for the signal recovery model. Using the signal recovery training data set, the training signal recovery module can learn and identify the mutual relationship and signal change law between the sub-control boxes.

[0052] Exemplarily, the signal recovery module uses a neural network model based on deep learning, divides the signal recovery training data set into a training set, a validation set and a test set in a ratio of 8:1:1, initializes the neural network model, including randomly generating the weights and biases of the network, and in each training iteration, passes the input data (the detection signals of each sub-control box, the label information of the data association between the sub-control boxes) into the network to learn the association structure between the sub-control boxes. The signal recovery layer uses these associated data to predict the distorted signal that identifies the sub-control box, compares the output recovery signal with the true target signal, and calculates the loss value, which reflects the difference between the recovery signal and the actual signal. In each iteration, the model performance is evaluated by calculating the loss value. After a certain number of iterations, the model is verified using the validation set. The data of the validation set does not participate in the training and is used to evaluate the performance of the model on unseen data. By observing the verification loss, it is determined whether the model is overfitting or underfitting, and the model structure or regularization strategy is adjusted for optimization. When the performance of the model on the validation set reaches the expected standard, the test set is used for final evaluation. The test set is completely independent of the training process to ensure the accuracy of the model in real scenarios. After testing, the model is deployed to the signal recovery module to participate in the actual detection signal recovery task. In this way, the signal recovery module is established. Even if some sub-control boxes are subject to electromagnetic interference or the shielding effectiveness is reduced, the signal can be restored through the data of other sub-control boxes, ensuring the stability and reliability of the entire detection device.

[0053] Furthermore, the insulator detection device further includes a decay reminder unit, and the decay reminder unit is used for:

[0054] Record the data of the electromagnetic shielding device, including the temperature change data of the spherical shielding antenna, the arc drainage information and arc occurrence frequency of the encircling tip drainage device, and the current load of the external shielding shell; obtain the device attenuation index based on the temperature change data, the arc drainage information, the arc occurrence frequency and the current load, and the core control box generates attenuation reminder information based on the size of the device attenuation index.

[0055] Specifically, when the spherical shielded antenna works in a high electromagnetic interference environment, temperature changes will directly affect its shielding effect and signal transmission capability. The temperature fluctuation of the antenna is monitored by a temperature sensor to generate temperature change data of the spherical shielded antenna. The embracing tip drainage device guides the high-voltage arc to the external shielding shell through the tip discharge principle to prevent the arc from damaging the antenna. The arc drainage path is tracked as arc drainage information, and its occurrence frequency is recorded, which is called the arc occurrence frequency. Excessive arc occurrence frequency may indicate that the device is subject to excessive electromagnetic interference or abnormal changes in the external environment, and attention should be paid. The external shielding shell guides the current to the ground through conductive materials to prevent it from affecting the normal operation of the internal circuit. By monitoring the current load, the load pressure of the shielding shell in different electromagnetic environments can be identified to prevent overload.

[0056] Based on the above recorded data, the device attenuation index is calculated. The device attenuation index is used to evaluate the overall performance degradation of the electromagnetic shielding device. The comprehensive information of temperature change, arc drainage frequency and current load can reflect the degradation trend of the shielding device during long-term operation. For example, if the temperature of the spherical shielding antenna continues to rise, the arc frequency increases significantly, or the current load of the external shielding shell exceeds the standard, the attenuation index will increase. Specifically, a technician in this field can combine historical data to obtain temperature change samples, arc drainage information samples, arc frequency samples, current load samples and corresponding device attenuation index samples. Based on existing machine learning models, such as neural network model training to build an attenuation analysis model, the temperature change data, the arc drainage information, the arc frequency and the current load situation are input into the attenuation analysis model for analysis to obtain the corresponding device attenuation index.

[0057] After receiving the device attenuation index, the core control box determines whether the device attenuation index is greater than the preset attenuation index. If so, an attenuation reminder message is generated and sent by the core control box. The attenuation reminder message is used to inform maintenance personnel that the device may be at risk of performance degradation and requires preventive inspection or maintenance. This enables all-round monitoring of the operating status of the electromagnetic shielding device, timely detection of potential performance degradation, and ensuring the long-term stable operation of the modular control box in a high electromagnetic interference environment.

[0058] In summary, the insulator detection device provided by the present application has the following technical effects:

[0059] A control box determination unit is used to determine a modular control box for insulator detection, wherein the modular control box includes a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; a shielding effectiveness detection unit is used to embed a shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes, perform shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes; an indicator change analysis unit is used to analyze the indicator changes of the N shielding effectiveness indicators. The analysis is carried out. If the decline of any shielding effectiveness index is greater than the preset decline, the identification sub-control box is output, and the identification sub-control box is a sub-control box with the risk of shielding failure; the signal recovery unit is used to send the real-time detection signal of the identification sub-control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal and output the recovery detection signal of the identification sub-control box; the detection result output unit is used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification sub-control box and the real-time detection signal of the non-identification sub-control box. Through modular design, shielding effectiveness evaluation, and signal recovery, the technical effect of improving the detection stability and accuracy in complex electromagnetic interference environments and providing guarantee for the safe operation of the power system is achieved.

[0060] Embodiment 2: Based on the same inventive concept as the insulator detection device in the aforementioned embodiment 1, the present application also provides an insulator detection method, please refer to the attached Figure 3 , the insulator detection method comprises:

[0061] A modular control box for insulator detection is determined, wherein the modular control box includes a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device.

[0062] The N auxiliary control boxes are respectively used as edge nodes to embed a shielding effectiveness evaluation module, and shielding effectiveness detection is performed on the N auxiliary control boxes according to the shielding effectiveness evaluation module to obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes.

[0063] The indicator changes of the N shielding effectiveness indicators are analyzed, and if the decrease degree of any shielding effectiveness indicator is greater than a preset decrease degree, an identification sub-control box is output, and the identified sub-control box is a sub-control box with a risk of shielding failure.

[0064] The real-time detection signal of the identification auxiliary control box is sent to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal, and the recovery detection signal of the identification auxiliary control box is output.

[0065] The insulator detection result is output according to the real-time detection signal of the core control box, the recovery detection signal of the identification auxiliary control box and the real-time detection signal of the non-identification auxiliary control box.

[0066] Furthermore, the electromagnetic shielding device includes a spherical shielding antenna, an embracing tip drainage device and an external shielding shell; wherein the spherical shielding antenna is led out from the core control box, passes through the external shielding shell of the core control box, and is surrounded by the embracing tip drainage device to form protection.

[0067] Furthermore, the core control box and the N auxiliary control boxes are all provided with the external shielding shell, and each auxiliary control box is provided with a shielding tube, and the external shielding shell and the shielding tube of each auxiliary control box are integrally formed.

[0068] Furthermore, the insulator detection method further comprises:

[0069] Set the decrease degree of the same known signal and multiple shielding effectiveness indicators; test each sub-control box according to the decrease degree of the same known signal and the multiple shielding effectiveness indicators to obtain a test signal set; calculate the signal deviation between the test signal set and the known signal, and configure the preset decrease degree of each sub-control box according to the size of the signal deviation.

[0070] Further, the real-time detection signal of the identification auxiliary control box is sent to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal. The insulator detection method includes:

[0071] Acquire the real-time detection signal of the non-identification sub-control box; send the real-time detection signal of the identification sub-control box to the signal recovery module, perform signal prediction on the identification sub-control box according to the real-time detection signal of the non-identification sub-control box, and output the predicted detection signal; perform signal recovery on the real-time detection signal of the identification sub-control box according to the predicted detection signal, and output the recovered detection signal of the identification sub-control box.

[0072] Further, constructing the signal recovery module includes:

[0073] Acquire detection parameter items of each of the N sub-control boxes; perform correlation analysis on the detection parameter items of the N sub-control boxes to acquire edge topological relationships of the N sub-control boxes, wherein the length of an edge in the edge topological relationship corresponds to the magnitude of the correlation; generate a signal recovery training data set according to the edge topological relationship, including detection signals of each sub-control box and label information characterizing the data association between the sub-control boxes; perform training according to the signal recovery training data set to obtain a signal recovery module through training.

[0074] Furthermore, data of the electromagnetic shielding device is recorded, including temperature change data of the spherical shielding antenna, arc drainage information and arc occurrence frequency of the encircling tip drainage device, and current load conditions of the external shielding shell; the device attenuation index is obtained based on the temperature change data, the arc drainage information, the arc occurrence frequency and the current load conditions, and the core control box generates attenuation reminder information based on the size of the device attenuation index.

[0075] Further, the shielding effectiveness test is performed on the N auxiliary control boxes according to the shielding effectiveness evaluation module to obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes, including:

[0076] Obtain the shielding shell material information of each auxiliary control box, including conductivity, magnetic permeability and thickness; obtain the external environment electromagnetic strength information of each auxiliary control box, including electromagnetic field strength and electromagnetic interference frequency; perform shielding effect detection according to the shielding shell material information and the external environment electromagnetic strength information, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes.

[0077] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The insulator detection device and specific examples in the first embodiment are also applicable to the insulator detection method of the present embodiment. Through the above detailed description of the insulator detection device, those skilled in the art can clearly understand the insulator detection method of the present embodiment, so for the sake of brevity of the specification, it will not be described in detail here. As for the method disclosed in the embodiment, since it corresponds to the device disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0078] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An insulator detection device, characterized in that: include: A control box determination unit, used to determine a modular control box for insulator detection, wherein the modular control box includes a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; The electromagnetic shielding device comprises a spherical shielding antenna, an embracing tip drainage device and an external shielding shell. The spherical shielding antenna is led out from the core control box, passes through the external shielding shell of the core control box, and is surrounded by the embracing tip drainage device to form protection. A shielding effectiveness detection unit, used to embed the shielding effectiveness evaluation module with the N auxiliary control boxes as edge nodes respectively, perform shielding effectiveness detection on the N auxiliary control boxes according to the shielding effectiveness evaluation module, and obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes; An indicator change analysis unit is used to analyze the indicator changes of the N shielding effectiveness indicators, and if the decrease degree of any shielding effectiveness indicator is greater than a preset decrease degree, output an identification sub-control box, and the identification sub-control box is a sub-control box with a risk of shielding failure; A signal recovery unit, used for sending the real-time detection signal of the identification auxiliary control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal, and outputting the recovery detection signal of the identification auxiliary control box; A detection result output unit, used to output the insulator detection result according to the real-time detection signal of the core control box, the recovery detection signal of the identification auxiliary control box and the real-time detection signal of the non-identification auxiliary control box; Wherein, the indicator change analysis unit is also used for: Set the decrease degree of the same known signal and multiple shielding effectiveness indicators; Testing each secondary control box according to the same known signal and the decrease degree of the multiple shielding effectiveness indicators to obtain a test signal set; Calculating the signal deviation between the test signal set and the known signal, and configuring the preset descent degree of each auxiliary control box according to the magnitude of the signal deviation; Wherein, the signal recovery unit is also used for: Obtaining real-time detection signals from non-identification auxiliary control boxes; The real-time detection signal of the identification auxiliary control box is sent to the signal recovery module, and the signal of the identification auxiliary control box is predicted according to the real-time detection signal of the non-identification auxiliary control box, and the predicted detection signal is output; Performing signal recovery on the real-time detection signal of the identification auxiliary control box according to the predicted detection signal, and outputting the recovery detection signal of the identification auxiliary control box; Among them, building a signal recovery module includes: Obtaining detection parameter items of each of the N auxiliary control boxes; Performing correlation analysis on the detection parameter items of the N auxiliary control boxes to obtain edge topological relationships of the N auxiliary control boxes, wherein the length of an edge in the edge topological relationship corresponds to the magnitude of the correlation; According to the edge topology relationship, a signal recovery training data set is generated, including detection signals of each auxiliary control box and label information representing data associations between the auxiliary control boxes; Training is performed according to the signal recovery training data set to obtain a signal recovery module through training.

2. An insulator detection device according to claim 1, characterized in that: The core control box and the N auxiliary control boxes are both provided with the external shielding shell, and each auxiliary control box is provided with a shielding tube, and the external shielding shell and the shielding tube of each auxiliary control box are integrally formed.

3. An insulator detection device according to claim 1, characterized in that: Recording data of the electromagnetic shielding device, including temperature change data of the spherical shielding antenna, arc drainage information and arc occurrence frequency of the encircling tip drainage device, and current load of the external shielding shell; The device attenuation index is obtained based on the temperature change data, the arc diversion information, the arc occurrence frequency and the current load condition, and the core control box generates attenuation reminder information based on the size of the device attenuation index.

4. An insulator detection device according to claim 1, characterized in that: The shielding effectiveness detection unit is also used for: Obtain the shielding shell material information of each secondary control box, including conductivity, magnetic permeability and thickness; Obtain the external environment electromagnetic intensity information of each auxiliary control box, including electromagnetic field intensity and electromagnetic interference frequency; A shielding effect test is performed according to the shielding shell material information and the external environment electromagnetic intensity information to obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes.

5. An insulator detection method, characterized in that: The insulator detection method is performed by an insulator detection device according to claims 1 to 4, and the insulator detection method comprises: Determine a modular control box for insulator detection, the modular control box comprising a core control box and N auxiliary control boxes, wherein the core control box and the N auxiliary control boxes perform detection operations based on an electromagnetic shielding device; The N auxiliary control boxes are respectively used as edge nodes to embed a shielding effectiveness evaluation module, and the shielding effectiveness detection is performed on the N auxiliary control boxes according to the shielding effectiveness evaluation module to obtain N shielding effectiveness indicators corresponding to the N auxiliary control boxes; Analyze the index changes of the N shielding effectiveness indexes, and if the decrease degree of any shielding effectiveness index is greater than a preset decrease degree, output an identification secondary control box, wherein the identification secondary control box is a secondary control box with a shielding failure risk; Sending the real-time detection signal of the identification auxiliary control box to the signal recovery module of the core control box to perform signal recovery on the real-time detection signal, and outputting the recovery detection signal of the identification auxiliary control box; The insulator detection result is output according to the real-time detection signal of the core control box, the recovery detection signal of the identification auxiliary control box and the real-time detection signal of the non-identification auxiliary control box.

Citation Information

Patent Citations

  • AC-DC electromagnetic environment monitoring system

    CN109724649A

  • Data acquisition equipment with various power supplies and power supply method thereof

    CN115800426A