20 results about "Insulator flashover" patented technology

The invention belongs to the technical field of high-voltage switch cabinet application, and provides a new energy booster station high-voltage switch cabinet protection device which comprises a cabinet body, and the upper side of the interior of the cabinet body is provided with a moisture absorption assembly used for condensing and discharging moisture in the cabinet body. A salt mist filtering mechanism used for performing salt mist filtering on the ventilation position of the cabinet body is arranged on the lower side in the cabinet body, and the moisture absorption assembly comprises a fixing frame fixedly connected to the lower side of the top wall of the cabinet body; by arranging the salt mist filtering mechanism, the high-voltage switch cabinet used in coastal areas can be ventilated and filtered, salt mist components in coastal air are effectively isolated, the problems of metal corrosion, insulator flashover, electrical contact oxidation and the like caused by salt mist permeation are avoided, the service life of circuit components is effectively prolonged, and meanwhile, the service life of the high-voltage switch cabinet is prolonged. Salt blocks on the filter bag can be automatically removed, the permeability of the filter bag is effectively ensured, the conditions that salt blocks are accumulated, the permeability of the filter bag is poor, and heat dissipation in the cabinet is affected are avoided, and time and labor are saved in use.

The invention discloses a transmission line multi-target defect detection method based on transformer improvement. The method comprises the following steps: using an unmanned aerial vehicle to shoot a transmission line defect image; carrying out naked eye observation on five types (four defects) of insulators, insulator spontaneous explosion, insulator flashover, bird nests and line foreign matters, and marking a data set by using Labelimg; a backbone network of the original YOLO11s is replaced by a swin transformer backbone network, a CBAM attention mechanism is introduced into a neck network, and a new model is constructed; and inputting the image of the to-be-detected power transmission line into the trained improved recognition model, generating a recognition result, and determining the position and precision of the defect. According to the method provided by the invention, the significant defects of the power transmission line can be identified more accurately in real time. According to the invention, high-precision real-time classification detection of power transmission line insulators, bird damage and entanglements is realized, line equipment faults can be rapidly positioned, and the method has important practical application value.

The invention discloses an epoxy CCTO gradient coating method for improving the flashover characteristic of an alternating current insulator and a prepared epoxy CCTO gradient non-uniform modified insulator, and belongs to the technical field of high-voltage insulating materials. The method comprises the following steps: stirring epoxy resin, calcium copper titanate, a dispersing agent and a catalyst, adding a curing agent, and performing secondary stirring to prepare slurry; the insulator is non-uniformly divided into four layers in the axial direction, the slurry is sequentially sprayed to the first layer area to the fourth layer area of the insulator, and the insulator is solidified; 5 points are randomly selected for each layer by using a hardness tester, the surface hardness of the coating is measured, the next step is carried out when the hardness value reaches the target hardness, and secondary curing is carried out when the hardness value does not reach the standard; and the epoxy CCTO gradient non-uniform modified insulator is obtained. According to the epoxy CCTO gradient coating method for improving the flashover characteristic of the alternating current insulator, an efficient solution is provided for surface electric field optimization and flashover performance improvement of high-voltage insulation equipment.

The present invention discloses an analysis method for the influence of acceleration on the flow field of high-speed railway roof insulators, belonging to the technical field of high voltage and insulation. The method includes: based on finite element simulation, geometric modeling of the high-speed railway roof insulator model is carried out. Taking the atmospheric environment as the flow field and the high-speed railway insulator as the solid points, a flow field model and a solid motion model are established, and the geometric parameters of the high-speed railway and the insulator are set; different positions on the windward and leeward surfaces of the insulator are numbered and the flow field distribution around each solid point is updated; the finite element simulation method is used to set the material parameters of the model; the finite element simulation method is used to set the physical field, mesh generation and solution calculation of the model. The present invention draws the conclusion that the difference in the surface pressure and density distribution of the insulator under the condition of acceleration is greater than that under the condition of constant speed, which can be used to explore the flow field distribution law of the roof insulator and the flashover mechanism of the roof insulator during the start and brake of high-speed trains and the design of the high-speed railway roof flow field.

The application relates to the technical field of lightning protection, and discloses an ultra-ultra-high-voltage transmission line non-conduction corona plasma lightning protection and monitoring device, which comprises a tower pole main body, the top end of the tower pole main body is fixedly connected with a mounting base, the upper surface of the mounting base is fixedly connected with a support, the upper surface of the support is fixedly connected with an amplifier, the upper surface of the amplifier is fixedly connected with an S-pole lower plate, the outer wall of the S-pole lower plate is boltedly connected with an insulating isolation support mechanism, the insulating isolation support mechanism is connected with a multi-tip metal needle pole mechanism, and the multi-tip metal needle pole mechanism is connected with an N-pole upper plate mechanism. The coupling energy of the lightning cloud self electrostatic field and the line power frequency electric field is used as the only excitation source, so that the pulse corona discharge can be triggered without external power supply, a high-density plasma shielding layer is generated to neutralize the lightning cloud charge, the lightning leader formation and the lightning channel are blocked from the source, and the vicious faults such as the ground potential counterattack, the insulator flashover and the equipment damage are avoided.

The present invention discloses a method for identifying and warning abnormal soundprints of insulator flashover, comprising the following steps: sound collection and processing, wherein a sound pickup device collects sound emitted from the top of a high-voltage power tower, and an algorithm is used to process the collected audio to obtain a power spectrum; the power spectrum is converted and processed to obtain a Mel-speech spectrogram; audio data is labeled and classified according to known types, and the audio is repeatedly trained using the algorithm's training function to obtain an optimal audio model containing different sound audio models; the optimal audio model is used to classify, score, and evaluate the audio extracted features, and a threshold is set; the collected audio is input, a collected audio threshold is calculated, and the collected audio threshold is compared with the optimal audio model threshold for similarity; a scoring system is used to indicate the proximity of the thresholds, and the scoring system determines whether to issue an alarm or push information based on the comparison result between the collected audio and the optimal audio model threshold. The method of the present invention has high recognition accuracy, low cost, and high efficiency.

The invention discloses a power transmission line lightning stroke performance evaluation method, system and device based on a Monte Carlo method and a storage medium, and relates to the technical field of power transmission line lightning protection and Monte Carlo simulation optimization. A Monte Carlo random sampling program is configured in numerical software according to lightning current statistical distribution, lightning current peak values are extracted by using the program to drive simulation, an insulator flashover result of each simulation is judged by applying a damage effect criterion, calculation results are accumulated in real time, counterattack performance parameters and statistical monitoring parameters are synchronously calculated, and the lightning current statistical distribution is calculated. When the monitoring parameters simultaneously meet a preset convergence threshold value, simulation is automatically stopped, and a final evaluation result is output; the lightning counterattack simulation calculation amount is reduced, the lightning protection design efficiency of the middle-high voltage power transmission line is remarkably improved on the premise that the precision is guaranteed, and safe and economical operation of a power grid is facilitated.

The application discloses an insulator flashover fault recognition method based on a cavity convolution Unet+++ and comprises the following steps: acquiring an insulator image to be recognized, obtaining a bright light image label graph and an insulator image label graph according to the insulator image, performing segmentation on the bright light image label graph based on the cavity convolution Unet+++, generating a bright light segmentation graph, extracting an insulator position according to the insulator label graph, corresponding the insulator position to a bright light position on the bright light segmentation graph, calculating a white pixel area proportion on the bright light position, and positioning an insulator flashover fault according to the white pixel area proportion. The application solves the problems of poor speed and precision in insulator flashover fault recognition in the prior art.

The invention discloses a power transmission overhead line insulator defect detection device and method, and belongs to the technical field of insulator detection. The device comprises a sensor module, a signal conditioning module, a data acquisition and analysis module and a positioning module, wherein the sensor modules are deployed at two ends of a power transmission overhead line and are used for receiving fault magnetic field signals generated by insulator flashover in a non-contact manner and converting the fault magnetic field signals into initial electric signals; the signal conditioning module filters and amplifies the initial electric signal; the data acquisition and analysis module acquires the processed fault electric signal, and calculates the fault position through a time difference method based on the time difference of the signal reaching the sensors at the two ends; and the positioning module completes fault positioning. The fault magnetic field signal generated by insulator flashover is received in a non-contact manner, so that non-contact online monitoring is realized, weak fault signal detection sensitivity and defect positioning precision are improved, and early warning and accurate positioning of insulator flashover faults can be effectively realized.

The invention discloses a power transmission line insulator monitoring device, and belongs to the technical field of insulator flashover monitoring. A power transmission line insulator monitoring device comprises a current detection module used for detecting leakage current and a visual detection module used for monitoring dirt or cracks on the surface of an insulator, and the current detection module and the visual detection module are both electrically connected with a control module. The current detection module comprises a detection ring mounted at one end, far away from the cable, of the insulator and a signal processing unit; according to the invention, the current detection module and the visual detection module are used for detecting the insulator, and the detection result is fed back to the control center through the control module and the data transmission module, so that the actual operation condition of the insulator can be mastered in time, and potential problems can be solved in time.

The present invention proposes a method for predicting the flashover voltage of insulators in SF6 under nanosecond pulses, which solves the technical problem of the difficulty in balancing accuracy and generalization in existing flashover voltage prediction methods. The method uses empirical formulas to generate a wide range of input and output data and performs regularization on the data; then the above data is input into an MLP neural network for pre-training; then the input and output parameters are extracted from the results of artificial simulation experiments and regularized; the pre-trained MLP neural network is used for incremental learning, and finally the training set and test set errors obtained by the model are verified to obtain an MLP regression prediction model. By inputting any set of environmental parameters into the model, the corresponding insulator flashover voltage can be obtained. The present invention requires a small amount of experiments, has high prediction accuracy, and can also realize extrapolated prediction of flashover voltage outside the range of experimental conditions, and has strong versatility.

The invention relates to the technical field of insulation monitoring, in particular to an icing insulator arc discharge identification and flashover early warning method, system and device and a storage medium. Obtaining an iced insulator image, constructing an arc monitoring model, obtaining an arc dangerous area through high-frame-rate image acquisition, and determining an arc morphological characteristic relation; the image data is subjected to arc area automatic segmentation, arc pixel area extraction and geometric feature calculation, and based on an intermittent arc matrix, when the arc length ratio reaches a preset threshold value or it is detected that an intermittent arc quenching reignition phenomenon disappears, flashover early warning is judged; and based on the intermittent arc matrix, an insulator flashover model is obtained in combination with coupling characteristics of arc length and brightness, and insulator flashover is predicted. The problems that a traditional icing insulator flashover early warning method is poor in real-time performance, low in accuracy and weak in environmental adaptability are solved, millisecond-level rapid early warning is achieved, and reliable guarantee is provided for safe operation of an electric power system.

The invention discloses an optimization method of an optical fiber composite overhead ground wire (OPGW) connection device based on LS-SVR, and relates to the field of overhead ground wires, and the optimization method comprises the following steps: carrying out an insulator surface flashover test on the optical fiber composite overhead ground wire connection device, and constructing a sample data set X; determining the optimal weight of the insulator characteristics through a multiple linear regression analysis method; constructing an evaluation model through a least square support vector regression algorithm, introducing a Gaussian kernel function, and training the evaluation model through a sample data set X; when a training result reaches an iteration termination condition, completing evaluation model training, and verifying a training effect through a test sample; performing performance prediction on the optical fiber composite overhead ground wire connection devices with different specifications and designs through the evaluation model; through the novel connection device, the electric energy loss is reduced, the overall energy efficiency of a power transmission line is improved, the insulator flashover voltage under different design parameters is quickly and accurately predicted, and the insulation reliability of the device in a complex high-voltage power transmission environment is enhanced.

The present invention discloses a method and device for predicting insulator flashover based on environmental factors, including obtaining historical environmental factor data affecting insulator flashover, preprocessing the historical environmental factor data to obtain preprocessed historical environmental factor data; constructing a risk probability change function for a single insulator according to the preprocessed historical environmental factor data; solving the risk probability change function for a single insulator to obtain an influence factor vector; constructing an insulator flashover prediction model based on environmental factors according to the influence factor vector and training the model; using the insulator flashover prediction model based on environmental factors to predict the flashover of the insulator to be predicted, obtaining the flashover risk degree of each insulator under the action of current environmental factors; and judging whether to carry out a preventive maintenance plan for the corresponding insulator according to the size of the flashover risk degree. The catenary insulator flashover prediction model of the present invention has a simple structure, easy-to-implement functions, and accurate and effective prediction.

This application relates to the field of transmission line insulator fault detection technology, specifically to a method, system, and device for monitoring insulator flashover faults. The method includes: acquiring leakage current data of the transmission line; analyzing the amplitude variation of the leakage current at different frequencies in the frequency domain, and then combining this with the amplitude distribution characteristics of harmonics in the frequency domain to obtain the high-frequency harmonic hazard level at each acquisition time; analyzing the leakage current pulse characteristics at each acquisition time based on the peak value variation and peak frequency in the leakage current data to obtain flashover fault characteristic values ​​at each acquisition time; and monitoring flashover faults in the transmission line insulators based on the flashover fault characteristic values. This application can improve the accuracy of detecting flashover faults in transmission line insulators.

The embodiment of the utility model provides an insulator pollution flashover optical fiber monitoring device, and the device comprises a supporting frame which is used for providing fixation and is disposed on an insulator; the protective cover is wrapped outside the supporting frame and is provided with a light-transmitting part through which light signals can transmit; the optical fiber sensor is installed on the supporting frame, located in the protective cover and used for monitoring the pollution flashover state of the insulator in real time and transmitting optical signals through the light transmitting part; the self-cleaning mechanism is arranged on the inner side of the protective cover and is in close contact with the optical fiber sensor; and the sealing ring is arranged at the combined part of the upper shell and the lower shell. Through the scheme of the embodiment of the invention, the problem that the data acquisition accuracy is reduced due to the fact that the sensor part of the monitoring device is directly exposed, long-time operation and external pollution possibly cause smudginess or corrosion of optical components can be solved.

The present invention discloses an intelligent indicator cross-check method for power transmission and transformation projects based on a smart management and control platform, which relates to the field of data correction technology and includes the following steps: obtaining grounding characteristic data of a lightning strike area and screening the grounding characteristic data; obtaining real-time lightning strike data, and reconstructing an overvoltage waveform in combination with the screened grounding characteristic data; predicting the flashover probability of an insulator based on the reconstructed overvoltage waveform, and outputting a dynamic flashover probability curve; extracting features from the dynamic flashover probability curve, and performing a flashover risk assessment based on the extracted features; establishing a mapping relationship model between the flashover risk and the load fluctuation correction value based on a regression analysis method, and correcting the load fluctuation data according to the mapping relationship model; the present application dynamically corrects the load fluctuation data through cross-checking to improve the accuracy of the received data.

The invention discloses a power transmission and transformation project intelligent index cross checking method based on an intelligent management and control platform, and relates to the technical field of data correction, and the method comprises the following steps: obtaining grounding characteristic data of a lightning stroke region, and screening the grounding characteristic data; acquiring real-time lightning stroke data, and reconstructing an overvoltage waveform in combination with the screened grounding characteristic data; the insulator flashover probability is predicted according to the reconstructed overvoltage waveform, and a dynamic flashover probability curve is output; performing feature extraction on the dynamic flashover probability curve, and performing flashover risk assessment according to the extracted features; based on a regression analysis method, establishing a mapping relation model between the flashover risk and the load fluctuation correction value, and correcting the load fluctuation data according to the mapping relation model; according to the method and the device, the load fluctuation data is dynamically corrected through cross checking, so that the accuracy of receiving the data is improved.

The present invention provides an insulator leakage detection system and method, which relates to the technical field of leakage detection. It includes a depth camera, which is used to collect insulator images in the daily mode or the flashover mode, transmit the insulator images to the controller and receive the instructions sent by the controller; a controller, which is used to receive the insulator images transmitted by the depth camera, judge whether insulator flashover occurs based on the insulator images, and when insulator flashover occurs, send a flashover mode instruction to the depth camera and simultaneously send an alarm signal to the remote monitoring platform; a remote monitoring platform, which is used to receive the alarm signal sent by the controller, perform alarm operations and determine the position of the flashover insulator according to the alarm signal. The present invention can efficiently and accurately monitor the insulator flashover or leakage current situation, give an alarm in time when a fault occurs for processing, facilitate the daily acquisition of the insulator state, so as to ensure that the insulator is cleaned at the optimal time.

The utility model discloses a suspension type porcelain insulator with a self-cleaning assembly, relates to the insulator field, and comprises a first umbrella skirt and a second umbrella skirt, the second umbrella skirt is arranged at the bottom end of the first umbrella skirt, the middle parts of the first umbrella skirt and the second umbrella skirt are wrapped with core rods, the top ends of the two core rods extend out of the corresponding first umbrella skirt and the second umbrella skirt, and the first umbrella skirt and the second umbrella skirt are arranged on the first umbrella skirt and the second umbrella skirt. Rotating rings are rotationally connected to the outer sides of the two core rods, sweeping plates are fixed to the outer sides of the two rotating rings, when the insulator is blown by wind power, the wind power can blow the first wind power plate and the second wind power plate to rotate on the outer sides of the corresponding core rods, and when the first wind power plate and the second wind power plate rotate, the sweeping plates can sweep the first wind power plate and the second wind power plate. And the sweeping plates clean the upper surfaces of the corresponding first umbrella skirts and second umbrella skirts, so that the pollution flashover condition of the insulator is reduced, and the service life is prolonged.