412 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 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 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.

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 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 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 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.

The invention relates to a grounding grid corrosion fault diagnosis method and system based on an improved SABO, and the method comprises the steps: obtaining all accessible nodes based on a grounding grid topological structure, injecting excitation current into a grounding grid in a multi-rotation excitation mode, and obtaining a measurement value of a node voltage and an initial value of a branch resistor; taking the change multiple of the branch resistance value relative to the branch resistance initial value as a to-be-solved variable, constructing a fitness function based on a measured value and a calculated value, and solving by using an improved SABO algorithm based on dynamic differential variation to obtain an optimal value of the change multiple of each branch; and judging whether the branch corresponding to the optimal value has a corrosion fault or not based on the optimal value. Compared with the prior art, the fault area in the grounding grid can be identified more accurately and efficiently.

The invention discloses a resistivity model inversion method, device and equipment for grounding detection and a medium, and the method comprises the steps: obtaining three-component time domain data corresponding to a grounding grid, and carrying out the preprocessing of the three-component time domain data to obtain normalized observation data; constructing a first objective function containing a Tikhonov smooth item and a cross gradient item, and executing preliminary inversion through an L-BFGS algorithm according to the first objective function and the normalized observation data to obtain an initial three-dimensional resistivity model; carrying out logarithmic transformation on the model, selecting a k-means initial mass center based on a nearest neighbor density peak value algorithm, and carrying out clustering, abnormity elimination and median filtering on the model to obtain a smooth three-dimensional resistivity model; and generating a partition soft constraint based on a clustering partition result, combining the partition soft constraint with the first objective function to obtain a second objective function, and inverting the smooth three-dimensional resistivity model again to obtain a target three-dimensional resistivity model. The geometric structure, the electrical parameters and the health state of the power transmission tower grounding grid are efficiently and accurately detected, and the detection efficiency and accuracy are remarkably improved.

The invention provides a large-scale pavement reconstruction and drivable area automatic marking method for a well mine road, and belongs to the technical field of intelligent mines and automatic driving, and the method comprises the steps: collecting inertial integrated navigation, laser radar point cloud and camera image data; de-noising and segmenting laser radar point cloud data and camera image data, constructing a local surface element map and a global key frame pose sequence based on the pose initial value, and splicing to obtain a three-dimensional point cloud model; constructing a ground grid surface element based on a three-dimensional point cloud model and the segmented camera image, performing visibility screening on a view cone to obtain a visible surface element set, performing block rendering on the visible surface element, performing exposure self-adaption and reflective mask constraint combined optimization on a BEV rendering image at the same time, and constructing a pavement reconstruction model in combination with a Meshgrid grid. And finally, performing semantic annotation based on the pavement reconstruction model to generate an image data set with a label. The method is suitable for complex scenes of well industry and mining, and the pavement reconstruction precision and the labeling automation degree can be improved.

The invention is suitable for the technical field of transformer substation quality detection, provides a transformer substation grounding grid hidden project quality detection method and system and terminal equipment, and realizes rapid acquisition and automatic processing of construction data by acquiring grounding grid and cable image data in real time and automatically identifying features by using an identification model. And the real-time three-dimensional model of the grounding grid and the cable is constructed, and the two-dimensional image is converted into accurate three-dimensional geometric representation, so that the accuracy of state description is improved. And finally, the real-time three-dimensional model and the preset design model are subjected to space comparison, the construction deviation is automatically detected, and comprehensive evaluation of the hidden project quality is realized, so that the detection efficiency is remarkably improved, the manual dependence is reduced, the reliability and timeliness of the detection result are ensured, and the potential safety hazard is effectively reduced.

The invention discloses a grounding grid corrosion and soil defect diagnosis method based on impact square wave modulation, and relates to the technical field of electric power system intelligent operation and maintenance and equipment state monitoring. A broadband impact square wave modulated by a Gaussian window is generated and injected into a grounding down lead, and electromagnetic response of an underground conductor and soil is stimulated; the method comprises the following steps: acquiring an electric field signal by using an earth surface distributed sensor array, and extracting reflection time delay and frequency domain characteristics in combination with short-time Fourier transform STFT; reconstructing a time domain dielectric constant through reflection coefficient inversion and inverse Fourier transform, and decoupling metal corrosion and soil environment abnormity; based on a multi-parameter fusion criterion, accurate positioning and classification of defects such as fracture, corrosion, water accumulation and cavities are realized, and a resistivity-dielectric property dual-channel thermodynamic diagram is generated. According to the method, excavation is not needed, live detection can be achieved, the advantages of high resolution, non-destructiveness and visualization are achieved, and the accuracy and the intelligent level of grounding grid state diagnosis are remarkably improved.

The invention discloses a grounding resistance monitoring and early warning system, which belongs to the field of grounding resistance monitoring, and comprises an excitation measurement module which is deployed and installed on each grounding loop of a grounding grid to send a plurality of excitation measurement signals with different frequencies, generates induction current on the grounding loop and a grounding electrode, and sends the induction current to the grounding loop; the monitoring and sensing module is deployed and buried in soil around the grounding electrode to form a monitoring network matched with the grounding network, receives the induction current and collects the environment temperature and humidity of the surrounding soil, and the early warning management module is used for obtaining the induction current, the environment temperature and humidity received or collected by the monitoring and sensing module and sending early warning information to the monitoring and sensing module. According to the method, the grounding resistance value of the grounding loop is calculated, health judgment of the grounding resistance is performed according to the calculation result, corresponding early warning measures are taken according to the health judgment, the grounding resistance in the grounding grid is managed, predictive maintenance can be realized, potential risks can be recognized in advance, and sufficient response time is reserved for replacement or maintenance of the grounding grid.

The invention discloses a multi-port resistance measurement and corrosion positioning integrated system for a grounding grid, relates to the technical field of resistance measurement and corrosion positioning, and is used for solving the problems that the soil resistivity greatly fluctuates along with the moisture content due to high moisture content and complex change of a clay field: the conductive ion concentration is increased and the conductive performance is enhanced due to increase of the moisture content in soil; and the resistivity is obviously reduced. Apparent conductivity and noise level are monitored in real time, self-adaptive switching is carried out between regional flow injection and selective flow injection, and high-precision resistance data can still be obtained under extreme working conditions such as alternation of wetting and drying or sudden increase of noise in combination with an automatically-adjusted current amplitude; all branch resistors are jointly solved through a parallel conjugate gradient inversion algorithm, and confidence quantification is performed on a positioning result by using a posterior covariance matrix to output a thermodynamic diagram; and the early warning closed-loop module introduces the current moisture content, the signal-to-noise margin and the flow increasing rate into real-time correction of a threshold and life model, triggers grading alarm and automatically generates a maintenance work order.

The invention relates to a construction method for a grounding down lead system of a new energy storage power station, which is based on the construction of a main grounding grid and is used for reasonably connecting a lightning rod, a framework, a lightning arrester bracket, a main transformer, a tubular bus, a GIS (Gas Insulated Switchgear) and a brim voltage-sharing belt in the energy storage power station with the main grounding grid so as to exert the function of protecting related electrical equipment in the energy storage power station. Comprising the following steps that S1, a lightning rod, a framework, a lightning arrester support, a main transformer, a tubular bus, a GIS and a brim voltage-sharing belt are connected to a main grounding grid; s2, providing centralized grounding devices, and respectively arranging the centralized grounding devices at positions adjacent to a lightning rod, a main transformer and a tubular bus; on the basis that related electrical equipment of the energy storage power station is connected to the main grounding grid, the centralized grounding device is arranged for the lightning rod, the main transformer and the tubular bus, so that the current dispersing area is increased, the grounding efficiency of a grounding down lead system of the energy storage power station is improved, the potential difference among multiple equipment of the energy storage power station is reduced, and point position balance of the whole station is ensured; and safe operation of electrical equipment is ensured.

The invention relates to the technical field of power system operation and maintenance, and discloses a grounding grid corrosion fault diagnosis method and system, a storage medium and equipment, and the method comprises the steps: arranging a plurality of types of sensors at key points of a grounding grid, collecting the electrical signal and environmental parameter data of the grounding grid in real time, carrying out the preprocessing of the collected original data, and carrying out the calculation of the data; a high-quality multi-source data set is generated; feature extraction is carried out on the multi-source data, normalization and weighted fusion are carried out on extracted multi-source features, and a comprehensive fault feature vector is generated; constructing a diagnosis model suitable for multi-feature input, performing adaptive optimization on parameters and feature fusion weights of the diagnosis model by using a whale optimization algorithm WOA, training the diagnosis model by using a comprehensive fault feature vector, and optimizing the model; and inputting the comprehensive fault feature vector into the optimized diagnosis model, outputting a corrosion fault diagnosis result, and generating a fault report and alarm information, thereby realizing accurate identification, positioning and early warning of grounding grid corrosion.