516 results about "Grounding grid" patented technology

The invention discloses a distribution network constant value setting and checking method, system and device and a storage medium, and relates to the technical field of electric power automation and relay protection, and the method comprises the steps: firstly collecting a real-time topology state signal of a distribution network, generating a dynamic topology matrix through state merging, and further generating an overcurrent protection directivity criterion; calculating the action value of each over-current section, and determining the zero-sequence protection constant values of different grounding networks in combination with topological parameters; secondly, differential delay parameters of a first-stage switch and a second-stage switch are set, a short-time voltage-loss locking and opening function is activated, and a digital twinborn model is constructed for checking; and finally, issuing the fixed value passing the checking to a protection device, and executing a coordination action. According to the method, the fault direction can be accurately judged, the constant value of each overcurrent section is reasonably calculated, and different grounding networks are distinguished to configure zero-sequence constant values. And through differential time delay, digital twinning check and the like, the protection self-adaption and reliability are improved, the power failure range is reduced, and stable operation of the power distribution network is guaranteed.

The invention relates to the technical field of corrosion detection, in particular to a grounding grid corrosion intelligent monitoring system which comprises an electrochemical data capture module, a corrosion behavior analysis module, a corrosion probability evaluation module and a monitoring strategy optimization module. According to the method, data errors and abnormal values are filtered and corrected, the overall quality of data is improved, the accuracy of analysis results is ensured, and in corrosion behavior analysis, the future trend of corrosion is effectively predicted through dynamic change detection of electrochemical properties and calculation of the corrosion rate; the time sequence analysis of the electrochemical impedance data not only enhances the prediction accuracy, but also improves the understanding depth of corrosion behaviors, the corrosion probability evaluation module adds consideration of random changes to the whole prediction model through the application of the Markov chain, so that the model is closer to the uncertainty of the real world, and through the optimization of the processing flow, the prediction accuracy is improved. The real-time performance and the early warning capability of the monitoring system are obviously improved, and the reliability and the operation accuracy of the system are enhanced.

The invention relates to the technical field of substations, and discloses a safety assessment system and method for a main grounding grid of a substation. The method comprises the following steps: arranging a multi-point potential gradient sensor for a main grounding grid of a power transmission and transformation project transformer substation and carrying out synchronous measurement to obtain an original potential gradient data set; performing effective signal and interference signal distinguishing processing on the original potential gradient data set to obtain potential distribution information of the transformer substation grounding grid; establishing a transformer substation grounding grid dynamic impedance model for fault current analysis to obtain a whole-process potential distribution diagram including an initial stage, a steady-state stage and a recovery stage; and performing security risk assessment based on the whole-process potential distribution diagram, and outputting a security risk area report. According to the invention, effective measurement signals and interference signals are effectively distinguished, reliability and accuracy of grounding grid potential measurement data in a complex electromagnetic environment are significantly improved, and accurate positioning of a risk area and effective tracking of a hazard source are realized.

The invention relates to the technical field of power frequency resistance real-time monitoring, and provides a traction power supply 27.5 kV cable interval grounding grid power frequency resistance real-time monitoring method and system, and the method comprises the steps: obtaining the temperature distribution data of the surface of a conductor of a grounding grid; acquiring voltage and current response of the grounding grid when the local temperature rise value exceeds a preset reference value to perform frequency domain conversion, and generating a broadband impedance spectroscopy analysis result; aligning earth surface coordinates corresponding to the temperature measurement nodes with underground coordinates corresponding to the impedance measurement points, generating a space correlation grid, generating a temperature rise phase deviation coupling relation matrix, and generating a real-time monitoring result of the power frequency resistance of the grounding grid according to a power frequency impedance correction value in the space correlation grid and the temperature rise phase deviation coupling relation matrix; according to the invention, accurate space matching between the abnormal temperature rise area and the impedance change of the corresponding conductor is realized, the adaptability of a monitoring network to the extension direction and the burial depth change of the conductor is enhanced, and feature signal omission caused by fixed measurement point deployment is avoided.

The invention discloses a new energy-based centralized area electric power analysis management method and system, and particularly relates to the technical field of photovoltaic power station fault analysis. Direct current side current, voltage and environment air pressure data are collected, an arc noise energy judgment threshold value is dynamically adjusted based on air pressure, and a current change rate difference correction coefficient is generated; a composite index of arc noise frequency band energy and voltage signal abrupt change is constructed, and an arc feature vector is generated in combination with waveform oscillation periodicity; comparing the feature vector with a preset template through a dynamic time warping matching algorithm, calculating a matching weight and a trend slope, and judging an arc reignition event in combination with a dynamic judgment threshold and a continuous increasing condition; and generating a priority breaking instruction sequence based on the event duration, controlling the breaking time sequence of the target string according to the grounding grid impedance distribution, and sending a blocking signal to the inverter in the coverage area.

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention discloses a ground resistance remote online monitoring method and system based on a mobile terminal, and relates to the technical field of ground resistance monitoring, and the method comprises the steps: obtaining a natural electromagnetic noise signal collected by the mobile terminal through a built-in sensor, and calculating a preliminary estimation value of ground resistance according to a preset model; according to the preliminary estimation value and the environmental parameters, using a machine learning algorithm to predict the optimal sampling frequency and time window under the current monitoring condition, and forming a dynamic adjustment mechanism; based on a dynamic adjustment mechanism, multiple mobile terminals are used for cooperative measurement, position information is synchronized and shared through a wireless network, and a virtual quadrupole measurement topological structure is constructed; based on the virtual quadrupole measurement topological structure, one part of the mobile terminals transmit test signals, the other part of the mobile terminals receive response signals, and the optimal sampling frequency and time window are combined to invert and generate a space resistance distribution diagram of the grounding grid; historical monitoring data, a space resistance distribution diagram and real-time environment parameters are combined.

The invention relates to a PEC signal grounding grid multi-parameter detection method based on an improved multi-polarization feature extraction aggregation network, and belongs to the field of grounding grid nondestructive detection. The method comprises the following steps: acquiring a pulsed eddy current effect time domain signal; an improved multi-polarization feature extraction aggregation network is established for grounding grid parameter estimation, firstly, a multi-layer convolutional neural network is used for performing local feature extraction on an input signal oscillogram, and nonlinearity is introduced through an activation function; fusing the local features by using a feature aggregation module; carrying out feature splicing on all features extracted for multiple times; a plurality of parallel branches are designed for a plurality of parameters of the grounding grid, and each branch is fused by introducing a mixed attention mechanism module; and finally, introducing a graph neural network to integrate correlation information among target parameters, performing regression calculation through a full connection layer, and outputting a parameter estimation value. According to the method, three grounding grid steel bar parameters can be calculated at the same time under the condition that the adverse effect of parameter correlation is reduced.

The invention is suitable for the technical field of grounding grid defect evaluation, and provides a transient electromagnetism-based grounding grid corrosion defect evaluation method and system, and the method comprises the steps: placing a sensor of a transient electromagnetic detection device above a to-be-detected region of a grounding grid, injecting a pulse current excitation signal into a conical focusing excitation coil, and carrying out the detection of the to-be-detected region of the grounding grid; acquiring an induced voltage time sequence signal through a receiving coil; extracting at least one characteristic parameter from the induced voltage time sequence signal, wherein the characteristic parameter comprises a signal peak value, peak value time, an attenuation rate or a signal integral quantity; inputting the characteristic parameters into a preset corrosion evaluation model, and performing inversion to obtain a residual thickness value or a corrosion depth value of the grounding grid in the to-be-detected area; generating and outputting a quantitative evaluation result containing the residual thickness value or the corrosion depth value; the method can be implemented in a non-stop state of the grounding grid, and an efficient and reliable decision basis is provided for safe operation and state maintenance of a power system.

The invention provides a grounding grid intelligent operation and maintenance system based on digital twinning and computer equipment. A multi-factor coupled corrosion kinetic equation is generated based on a laboratory grounding grid steel sheet accelerated corrosion test, and the corrosion kinetic equation is used for predicting the instantaneous corrosion rate of a galvanized steel sheet and estimating the mass corrosion loss of the steel sheet within specified time; combining the corrosion kinetic equation with the simulation model to establish a steel sheet corrosion data set, and training a physical information neural network to construct a corrosion prediction physical model; training the corrosion prediction physical model by adopting a neural network regression algorithm; constructing a grounding grid digital twin model by taking the corrosion prediction physical model as a base and combining field environment monitoring data; defining a Markov decision process in the digital twin environment of the grounding grid; and based on the feedback and reward function of the digital twin model of the grounding grid, training by adopting a near-end strategy optimization algorithm to obtain an intelligent decision-making body, and continuously optimizing the decision-making of the intelligent decision-making body through an online fine tuning function.

The invention relates to the technical field of signal crosstalk prevention, and provides an FFC wire harness signal crosstalk prevention method and device, electronic equipment and a storage medium. The method comprises the steps of performing frequency spectrum and time domain feature extraction processing on an original FFC signal to obtain a basic signal parameter set, constructing an FFC wire harness electromagnetic model according to FFC wire harness geometric data, and performing multi-conductor transmission line parameter extraction processing according to the basic signal parameter set and the FFC wire harness electromagnetic model to obtain a distribution parameter matrix. And performing Pareto multi-objective optimization processing on the signal arrangement sequence and daemon insertion of the distribution parameter matrix to obtain an optimal signal sequence and a daemon scheme, and performing microstructure configuration processing of the overall shielding layer and the grounding network according to the optimal signal sequence and the daemon scheme to obtain a shielding arrangement scheme. According to the invention, through fine modeling and multi-target collaborative optimization, the FFC wire harness realizes low crosstalk, high bandwidth and low electromagnetic radiation in a high-frequency and high-speed transmission environment.

The invention discloses a grounding grid full-life management method fusing Lasso and an improved grey wolf algorithm, and the method comprises the steps: carrying out the corrosion diagnosis of a grounding grid through employing a preset corrosion diagnosis algorithm when the abnormal fluctuation of the operation of the grounding grid is detected, or the operation of the grounding grid is carried out for an inspection period time after the completion of the previous rectification; and generating a corrosion diagnosis report of the grounding grid according to the real-time detection data and the historical detection data so as to rectify the grounding grid, and according to the real-time detection data and the historical detection data, adjusting the next inspection period time of the grounding grid and predicting the residual life of the grounding grid. Based on a preset corrosion diagnosis algorithm, integration and closed-loop management can be carried out on whole-process data of design, detection, diagnosis, rectification, operation and maintenance of the grounding grid, an underdetermined equation set in grounding grid corrosion diagnosis is solved, the positioning precision is improved, non-excavation type accurate corrosion fault positioning is achieved, the diagnosis efficiency and the intelligent management level are improved, and the operation and maintenance cost is reduced.

The invention provides a photovoltaic system and power distribution network state cooperative monitoring method based on the Internet of Things, and the method comprises the steps: deploying a multi-point collection device in a key region of a photovoltaic power station through a sensor network, and obtaining the soil humidity change and soil conductivity at regular time; denoising and standardizing the acquired soil humidity change and soil conductivity data to generate a standardized environmental parameter matrix; according to the dynamic change trend of grounding grid corrosion, identifying the mapping relation between the soil environment parameters and the grounding resistance value, and combining the real-time environment parameters and the corrosion trend to predict the resistance change; and comparing the predicted resistance change with the current grounding resistance value in real time, if the current grounding resistance value is detected to exceed a safety threshold range, triggering an abnormal early warning signal, and determining a potential area with high electric shock risk according to the resistance deviation degree and the corrosion rate.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

A transformer substation grounding grid detection method comprises the following steps: injecting detection current into a grounding grid, and sensing an induced magnetic field generated by the grounding grid above the grounding grid to obtain earth surface magnetic field data; determining a corresponding earth surface position of the grounding grid according to the earth surface magnetic field data; screening the earth surface magnetic field data according to the earth surface corresponding position to obtain to-be-detected data; initializing a covariance matrix optimization strategy; generating a basic population of a covariance matrix optimization strategy according to the to-be-detected data; sampling to generate a new population and calculating fitness; when the fitness meets a preset adaptation condition or the number of iterations reaches the maximum value, ending, otherwise, carrying out optimization and recombination on the basic population by utilizing the new population; and outputting grounding grid depth data according to the iterated basic population. The invention provides a transformer substation grounding grid detection method and system, which can detect the topological structure and the burying depth of a grounding grid on the premise of not excavating the ground.

The invention relates to the technical field of intelligent identification of a grounding grid step voltage abnormal area, and specifically discloses an intelligent identification method of a grounding grid step voltage abnormal area. Comprising the steps of multi-source sensing data acquisition, data sliding filtering processing, dynamic threshold parameter generation, voltage gradient matrix construction, collaborative judgment result generation and abnormal identification threshold optimization. Multi-source sensing data is comprehensively acquired by using a distributed sensor network, noise interference is effectively removed through sliding filtering processing, then a dynamic threshold parameter is generated in combination with historical operation data and real-time environment parameters, meanwhile, a voltage gradient matrix reflecting potential field spatial characteristics is constructed, an abnormal area is judged and accurately identified through cooperation of the two, and then the abnormal area is accurately identified. According to feedback information, an optimization direction is analyzed, an abnormal identification threshold value is dynamically adjusted, a complete intelligent optimization closed loop is formed, double verification and accurate identification of the state of the grounding grid are achieved, and the intelligent management level is improved.

The invention relates to the technical field of electric power, in particular to a grounding grid state evaluation method and system based on a three-dimensional direct-current resistance matrix, accurately reflects the conduction state of each node of a grounding grid through multi-point measurement, is suitable for fine detection of a complex grounding grid, and particularly is suitable for large-scale water conservancy and hydropower engineering. Fault points or weak links can be positioned; the matrix test comprehensively covers all nodes and paths of the grounding grid, so that no omission is ensured, and a fault or corrosion area of the grounding grid can be accurately positioned; in addition, data provided by testing are rich, deep analysis and trend prediction are facilitated, early warning can be carried out, potential hazards can be found in time, and measures can be taken. The method has the advantages of high anti-interference capability, simplicity and convenience in operation, low cost and suitability for large-scale application, can provide a stable and reliable detection result especially in an electromagnetic complex scene, and is beneficial to long-term monitoring and data analysis.

The invention relates to the technical field of grounding devices, and provides a grounding device and a power system.The grounding device is used for connecting a three-phase wire to a grounding grid and comprises a supporting piece, a first conductive piece, a second conductive piece, a grounding assembly and a limiting assembly. The first conductive part is rotatably connected to the supporting part, the second conductive part is rotatably connected to the supporting part, the second conductive part and the first conductive part define a limiting cavity, the supporting part and a first wire in the three-phase wires are located in the limiting cavity, one end of the grounding assembly is connected to the first wire, and the other end of the grounding assembly is connected to the ground screen. The limiting assembly is rotatably connected to at least one of the first conductive piece and the second conductive piece, the limiting assembly is provided with a limiting part, and the limiting part is connected to at least one of a second wire and a third wire in the three-phase wires. According to the invention, the problems of complex operation and low operation efficiency in manual installation of the grounding wire on the three-phase wire can be solved.

The invention discloses an on-line insulation monitoring system and method for a national railway vehicle, and relates to the technical field of on-line insulation monitoring, and the system comprises a detection signal injection module which is used for injecting a preset broadband active detection signal, and synchronously collecting a response signal set transmitted through a vehicle body grounding network; the fingerprint feature construction module is used for constructing network fingerprint features in a current insulation state; the spatial distribution atlas acquisition module is used for carrying out inversion calculation to obtain an admittance spatial distribution atlas of the whole vehicle; and the insulation abnormal area identification module is used for identifying an insulation abnormal area. According to the invention, the technical problems of long troubleshooting time and poor accuracy caused by incapability of online real-time monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and low abnormal area positioning precision in the prior art are solved, and online monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and accurate positioning of the abnormal area are realized. And the efficiency and the accuracy of insulation fault checking are improved.

The invention relates to the technical field of dam safety monitoring, and discloses a multi-source remote sensing data deep learning dam slope monitoring method, which comprises the following steps: resampling each mode to a common ground grid, and calculating robust statistics and a time stability agent on grid and block scales; determining a reference image according to the block-level robust score, and adaptively setting a local displacement search range with a high-intensity centroid difference; evaluating the discrete candidate displacement in a grid neighborhood by using a median absolute difference to obtain a local displacement field and a residual error; three types of subitems are constructed based on robust noise, time stability and registration residual errors, and pixel-level reliability weights are adaptively synthesized through logarithmic variance proportions among modes; analyzing and solving local linear mapping in a neighborhood by using a weight-weighted observation matrix, and calculating a weighted residual error according to the local linear mapping; a binary and probability anomaly graph is generated with a robust threshold.

The invention provides a grounding grid corrosion state diagnosis method based on plate reduction, and belongs to the technical field of grounding grid corrosion state diagnos.The grounding grid corrosion state diagnosis method comprises the steps that a self-adaptive clustering algorithm based on the graph theory is adopted to decompose a grounding grid into meta-plates with the same topological structure, and a meta-plate corrosion working condition database is established; the method comprises the following steps: carrying out sweep frequency impedance measurement in a frequency range of 1000Hz to 10000Hz to obtain a frequency response characteristic curve, calculating an impedance modulus increase rate as a characteristic vector, carrying out sample expansion by using an SMOTE technology to establish a training data set, constructing a multi-scale frequency response characteristic fusion model based on a ResNet architecture to carry out training, dynamically adjusting a hierarchical fusion weight through a frequency response parameter adaptive adjustment function, and carrying out multi-scale frequency response characteristic fusion based on the ResNet architecture. Accurate identification of the corrosion branch position and the corrosion degree of the grounding grid to be diagnosed is achieved, and the technical problems that the grounding grid corrosion state diagnosis precision is low and the calculation complexity is high are solved.

The invention provides a grounding resistance online monitoring method and system, a storage medium and electronic equipment, and relates to the technical field of grounding resistance monitoring. According to the technical scheme provided by the invention, the geological type of the transformer substation and the reference resistance threshold curve corresponding to the geological type are acquired, the second grounding resistance value is calculated by combining the first grounding resistance value of the branch node in the grounding network, and the comprehensive resistance correction amount is determined based on the soil characteristic parameters; personalized adjustment of the reference resistance threshold curve is realized, and a target resistance threshold curve suitable for a specific transformer substation is obtained. The actually measured third grounding resistance value is compared with the corresponding threshold value of the final resistance threshold value curve, the abnormal state of the grounding network can be accurately identified, the problems of false alarm and missing alarm caused by a fixed threshold value are avoided, and the accuracy of online monitoring of the grounding resistance is improved.

The present invention relates to the technical field of electric power safety protection, and particularly relates to a method for monitoring and evaluating the corrosion state of a grounding grid. The method comprises the steps of: acquiring a soil environment pH value of a grounding grid region; acquiring a soil Cl ion concentration of the grounding grid region; acquiring a corrosion potential of the grounding grid region; acquiring a corrosion rate of the grounding grid region; and on the basis of a soil resistivity, the soil environment pH value, the soil Cl ion concentration, the corrosion potential and the corrosion rate, determining the corrosion state of a grounding grid. Thus, by means of introducing determination parameters of a soil resistivity, a soil environment pH value and a soil Cl ion concentration, the corrosion state of a grounding grid can be more accurately determined and evaluated, such that the operational safety and service life of a substation grounding grid are more effectively evaluated, thereby providing technical support for electric power operation and maintenance personnel to take more scientific and rational maintenance measures.

The invention relates to a grounding grid fault diagnosis method and system based on an EVO-MNR algorithm, and the method comprises the steps: obtaining all accessible nodes based on a grounding grid topological structure, randomly selecting two accessible nodes, injecting an excitation current source into a grounding grid in turn, measuring and calculating the voltages of other accessible nodes, and obtaining a measurement value and a calculation value; taking the residual error of the measured value and the calculated value as a target function, and solving a first optimal solution of the grounding grid branch resistance by using an EVO algorithm; obtaining corresponding resistance value distribution based on the first optimal solution, and solving a corresponding calculation value based on the distribution; a target function value is calculated based on the corresponding calculation value, if the calculated target function value is smaller than a preset value, the first optimal solution is the optimal solution, otherwise, the target function is improved by using an MNR method to obtain an improved target function, and the optimal solution of the grounding grid branch resistance is solved based on the improved target function; and determining a fault branch based on the optimal solution. Compared with the prior art, the grounding grid fault can be quickly and accurately diagnosed.

The invention provides a method and application for a grounding grid resistance reduction project in a plateau frozen earth region and a grounding grid structure, and relates to the technical field of grounding engineering, and the method comprises the steps: carrying out the grounding grid discharge distribution analysis, and determining a region with higher current discharge density; carrying out grounding grid optimization treatment on the region with the relatively high current release density, including digging ground grid surface covering soil, exposing the ground grid surface, and pouring a liquid flexible resistance reducing material on the ground grid surface; and waiting for solidification of the liquid flexible resistance-reducing material to form an electric conductor combined with the soil. The invention further provides an optimization method for drilling deep holes in the four corners of the ground screen and filling the deep holes with the liquid flexible resistance reducing material to form the vertical grounding electrode. Under the condition that the original grounding grid structure is not changed, the grounding resistance in the plateau frozen soil area is effectively reduced, the performance stability of the grounding grid is improved, and meanwhile the grounding grid has the advantages of being flexible in construction, low in cost, high in adaptability and the like and is particularly suitable for grounding grid transformation projects in extreme environments such as plateau frozen soil.

The invention provides a method for determining the influence of the corrosion degree of a grounding grid on the frequency response characteristic of high-frequency current, and belongs to the technical field of grounding grid corrosion, and the method comprises the steps: firstly building a small grounding grid physical model with different preset corrosion degrees, and simulating the actual soil environment parameters; high-frequency excitation current is injected, data such as voltage signals, current signals and potential distribution are collected, and the signals are subjected to multivariate mixing decomposition to obtain components. Then establishing a characteristic relation matrix, calculating the impedance value of each frequency point, and constructing a corresponding relation database of the impedance values and the corrosion degrees; and finally, establishing an influence equation set based on the database, thereby accurately determining the influence degree of the corrosion degree of the grounding grid to be detected on the frequency response characteristic of the high-frequency current, and providing reliable technical support for state evaluation of the grounding grid. According to the scheme, the technical problem that the quantitative relation between the corrosion degree of the grounding grid and the high-frequency current frequency response characteristic of the grounding grid is not established in the prior art is solved.

The invention belongs to the technical field of transformer substation grounding grid monitoring, and discloses a transformer substation main grounding grid real-time safety monitoring system based on multi-sensor fusion, which adopts a MySQL and InfluxDB mixed architecture through a dynamic association database module, and stores static data such as transformer substation position, grounding grid material and the like, and dynamic data such as soil parameters, corrosion rate and the like respectively; meanwhile, a soil parameter and sampling frequency dynamic mapping table is built in, and when it is recognized that the soil salinity is larger than 15 mS / cm or the pH is smaller than 5.5, a sampling frequency adjusting instruction can be sent to the sensor array module, and the automatic soil sample collecting device is started; the module also establishes a material corrosion digital twinborn model and a climate partition library, provides scene data for the scheme dynamic adaptation and operation and maintenance module, enables the scheme dynamic adaptation and operation and maintenance module to output an adaptive scene corrosion prevention scheme, calculates a grounding electrode replacement period according to a corrosion rate, constructs a dynamic association between a soil working condition and corrosion protection, and effectively improves the durability of a grounding grid.

This application relates to a heat dissipation shielding structure and a processing method, a circuit board assembly, and an electronic device. The printed circuit board includes a mounting surface. Electronic components are mounted on the mounting surface. The electronic components include an active component and a passive component. The heat dissipation shielding structure includes an insulating layer. The insulating layer is covered on the mounting surface, and wraps at least a side surface of the active component, so that a side that is of the insulating layer and that faces away from the mounting surface forms a first surface together with a top surface of the active component. A shielding layer is covered on the first surface, a shape of the shielding layer matches a shape of the first surface, and the shielding layer is electrically connected to a ground network of the printed circuit board.

The invention relates to the technical field of electric data testing, in particular to a data calibration system based on an electric power acquisition terminal, which comprises the steps of acquiring a partial discharge signal; the method comprises the following steps: connecting to a grounding network of an open substation, and injecting calibration signals with preset characteristics into spatial distribution nodes of the grounding network; a calibration signal is controlled, a distributed calibration reference is established by comparing measurement results of different terminals on signals from different calibration nodes, and a gradient calibration parameter distribution strategy is established according to the relation between the distance between the electric power acquisition terminal and each calibration node and the grounding impedance; based on the detection data of the same partial discharge source by at least two power acquisition terminals, calculating the spatial position of the discharge source through the signal arrival time difference and the signal attenuation characteristic, and obtaining the measurement accuracy of each power acquisition terminal; and monitoring the long-term evolution trend of the partial discharge signal, identifying the insulation aging state of the equipment, and dynamically adjusting the calibration parameter of the corresponding power acquisition terminal according to the aging state.

The invention discloses a grounding grid corrosion prediction method fused with a soil parameter knowledge graph, and relates to the related field of power system grounding grid corrosion monitoring, and the method comprises the steps: laying a multi-parameter soil sensor based on a grounding grid region for real-time collection, and generating a soil parameter data set; performing knowledge association based on the soil parameter data set in combination with soil corrosion mechanism data, and constructing a soil corrosivity knowledge graph; acquiring an operation electrical data set of the grounding grid in real time, and performing fusion evaluation on the operation electrical data set and the soil corrosivity knowledge graph to generate a grounding grid corrosion grade evaluation result; and performing corrosion prediction on the grounding grid according to a grounding grid corrosion level evaluation result, obtaining a corrosion prediction trend graph, backtracking to the soil corrosivity knowledge graph for verification, performing operation analysis on the grounding grid according to a verification result, and generating a grounding grid residual life prediction report. The technical problem that existing grounding grid corrosion prediction is insufficient in accuracy is solved, and the technical effect of improving corrosion state prediction accuracy is achieved.