309 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 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 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 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 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 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 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.

The invention relates to the technical field of tactile sensors, in particular to a CMOS (complementary metal oxide semiconductor) compatible high-density tactile sensor array and a preparation method thereof, and the CMOS compatible high-density tactile sensor array comprises a micro / nano structure pressure sensitive film which comprises a conductive network and an elastic polymer substrate and is used for generating a deformation signal and a current change signal; the CMOS readout integrated circuit is electrically connected with the micro / nano structure pressure sensitive film, the pixel array of the CMOS readout integrated circuit is 640 * 512, the pixel size is 15 * 15 [mu] m, and each pixel comprises a central pixel electrode and a surrounding grounding grid and is used for collecting / measuring the resistance change of the micro / nano structure pressure sensitive film; the signal processing circuit is electrically connected with the CMOS readout integrated circuit and used for processing the tactile signal data, and the problems that in the prior art, the resolution ratio is limited, sensitivity is insufficient, and the integration degree is low are solved.

The application relates to the technical field of system-in-package, and discloses a functional chip SIP (System in Package) system-in-package method and system. The method constructs a reduced-order discrete thermal state predictor through multi-order exponential attenuation fitting, generates a DVFS gear-noise hazard degree spectrum mapping table based on a synchronous switching noise spectrum and an ADC noise sensitivity curve, generates a multi-DVFS working condition robust grounding network topology by optimizing a narrow bridge connection structure parameter by using a sequential quadratic programming, quantizes equivalent noise interference amounts of each DVFS gear on an ADC chip, and jointly optimizes DVFS gear selection and power consumption upper limit distribution under a rolling time domain mixed integer quadratic programming framework, simultaneously performs online model correction through exponential weighted moving average and Kalman filtering, and realizes cooperative satisfaction of thermal constraints and noise constraints.

The invention provides an anti-interference measurement method and system for grounding grid parameters in a strong interference environment, and belongs to the technical field of grounding device parameter measurement. The method comprises the following steps: constructing a multi-physics field coupling theoretical model, and integrating a high-precision clock synchronization and wireless communication high-fidelity sensor network; phase and amplitude errors in signal transmission are effectively eliminated through an anti-interference and fidelity processing mechanism, and finally the grounding resistance and related electrical characteristics are calculated by solving a parameter equation set derived from a theoretical model. According to the invention, by constructing a multi-physics field coupling theory model and designing a high-fidelity sensing network, and combining a distributed clock synchronization technology and an anti-interference signal processing mechanism, accurate, portable and safe measurement of the grounding resistance of the tower at a strong interference power transmission line site without power failure and disconnection of a down lead is realized. According to the invention, the risk of operating high-voltage equipment and the complexity of burying the auxiliary electrode in the traditional measurement are thoroughly avoided.

The invention relates to the technical field of power system automation, in particular to a new energy box-type substation state estimation, regulation and control method, which comprises the following steps of: injecting a multi-frequency electrical excitation signal into a box-type substation, acquiring a voltage signal and a current signal, establishing a digital twin model based on primary wiring topology and grounding grid topology, performing combined state estimation and parameter estimation to obtain a comprehensive feature vector representing a degradation state, and inputting the comprehensive feature vector into a fault diagnosis and life evaluation model to obtain a risk index; and constructing a risk weighting objective function taking active output, reactive output and current as independent variables, and solving to obtain a control quantity vector for adjusting power output, reactive compensation and an electric protection device action constant value, thereby reducing the operation risk and prolonging the service life of equipment while ensuring the grid-connected requirement.

The application provides a transient ground potential rise induced coupling determination method through cable shielding layer, and belongs to the technical field of cable shielding layer.The application establishes a distributed parameter partial element equivalent circuit model of a grounding network, solves transient ground potential distribution by using a finite difference time domain method, obtains equivalent transfer impedance frequency characteristics of a braided shielding layer by using a four-port S parameter vector network analysis method and a variational asymptotic homogenization multi-scale algorithm, solves core line common mode voltage and differential mode voltage by establishing a multi-conductor transmission line equation group, constructs an artificial intelligence prediction model based on a topology perception graph neural network, solves a large-scale sparse admittance matrix by using a multilevel fast multipole method to obtain full network induced voltage distribution, and establishes a quantitative relationship model between ground potential rise and core line induced voltage, so that the technical problems that cable core line induced voltage caused by transient ground potential rise is difficult to accurately predict and effectively suppress are solved.

The invention discloses a transformer substation electromagnetic interference source modeling and positioning method based on multi-physics field coupling, relates to the technical field of interference positioning, is used for solving the problem of insufficient positioning precision of an electromagnetic interference source, and aims at solving the problem of low positioning precision of the electromagnetic interference source by collecting grounding potential data of a grounding grid monitoring node, calculating a potential deviation index and judging whether discharge abnormality exists or not. And when an abnormality occurs, accessing a historical database to call grounding impedance data of the marked grounding electrode, analyzing an impedance fluctuation trend, detecting a discharge current amount in each discharge direction, marking the grounding electrode by combining a discharge imbalance characteristic, dividing and screening an abnormal corrosion area, and obtaining surface magnetic field data and surface temperature data of each divided area. A discharge concentration coefficient is calculated through magnetic field distribution characteristics and a surface temperature coefficient, a positioning index is generated in combination with discharge path data, a discharge positioning area is screened, and the corrosion positioning precision and maintenance effectiveness of the grounding grid are improved.

The application discloses a lightning impulse grounding grid frequency characteristic analysis method, system, device and medium, including: obtaining initial sample data; using the sample and a preset test frequency set to construct at least two different structure rational function interpolation models, and calculating the output residual thereof in the test frequency band; determining the target frequency point with the maximum modeling uncertainty according to the residual, calling the moment method to supplement high-precision response samples at the point; based on the updated sample set, constructing a diagonal or near-diagonal form rational interpolation model, and judging whether the prediction error of the model at the target frequency point is lower than a preset convergence threshold; if the convergence condition is not met, returning to the multiple model construction step, reiterating using the current sample set until the error meets the standard, and finally outputting the grounding grid frequency response characteristics covering the lightning impulse frequency band. The application realizes efficient analysis of the grounding grid frequency characteristics under lightning impulse, and effectively reduces the time used for analyzing the grounding grid frequency characteristics under lightning impulse.

The invention relates to the field of cable trench facilities, in particular to a cable trench with a built-in dehumidification function and a construction process and a dehumidification method of the cable trench. According to the invention, the S-shaped heating pipeline and the ventilating pipeline are pre-buried and are connected with the blowing device and the control system, and bottom heating evaporation and side wall air supply are combined to realize three-dimensional dehumidification, so that the internal humidity of the cable trench is remarkably reduced, and a dry and safe operation environment is provided for the cable. All functional pipelines and grounding grids are synchronously pre-buried in the civil engineering stage, strict plugging and fixing measures are adopted, the dehumidification function and the main body structure are integrally built, space is saved, and pre-burying precision and later implementation are guaranteed. Real-time humidity monitoring is carried out through the humidity sensor, dehumidification modes of different intensities are automatically started and stopped according to humidity values, intelligent and self-adaptive all-weather operation is achieved, the dehumidification efficiency is high, energy utilization is accurate, and the operation and maintenance cost and the manual operation intensity are greatly reduced.

The utility model discloses a kind of conductor shielding terminal annular array ground structure, the utility model relates to electrical engineering technical field, the utility model, comprising: connecting end, the outer wall of the connecting end is slidably connected with annular device, the annular device is locked by rotating mode, the bottom of the annular device is fixedly connected with grounding device, the annular device includes receiving end;By setting the cooperation of annular device and grounding device, the contact of the circumferential array arrangement in receiving end inner wall is slidably connected with connecting end, forms 360 ° full circumferential conductive passage, compared with traditional single-point grounding mode, contact area is improved by more than 3 times, lock ring is rotated 30 ° by dialing dial piece, the locking of connecting end and annular device can be completed, main sharp cone cooperates bulldozing block design, soil resistance is reduced, can directly penetrate clay layer with greater hardness;Sub sharp cone is automatically unfolded in soil extrusion during soil entering, forms umbrella-like grounding network, the purpose of equivalent grounding area expansion.

The invention relates to the technical field of corrosion state monitoring, and discloses a multi-dimensional data grounding grid corrosion state monitoring method, system, equipment and medium, and the method comprises the steps: forming an electrochemical three-electrode measurement system by using a current constraint sensor and a tested grounding grid metal; building a system circuit of the grounding grid corrosion monitoring device to monitor the corrosion of the grounding grid to obtain a real-time monitoring result; evaluating the corrosion state by combining the initial health baseline data of the grounding grid at the initial stage of commissioning, and predicting the corrosion development trend of the grounding grid by using a pre-constructed first prediction model; and carrying out integrated display and early warning management on the real-time monitoring result and the prediction result through the transformer substation grounding grid corrosion online monitoring and management platform so as to realize visualization of the corrosion state of the grounding grid. According to the method, the scientificity, predictability and operation and maintenance management efficiency of grounding grid state evaluation are remarkably improved, and reliable technical support is provided for guaranteeing long-term safe and stable operation of a power system.