674 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 discloses a synchronous monitoring and early warning method for substation ground current micro-power consumption, and relates to the technical field of substation monitoring, and the method comprises the steps: obtaining a ground current data set; performing dynamic time warping on the ground current data set to obtain a time sequence synchronization data set; performing time sequence analysis based on the time sequence synchronization data set, and determining a plurality of ground current characteristics; traversing the time sequence synchronization data set to carry out current fluctuation learning, and generating a ground current prediction data set; and dynamically monitoring the grounding network of the transformer substation, and generating a plurality of feedback response signals to intelligently trigger the alarm of the transformer substation. The technical problems that in the prior art, ground current data of multiple ground points cannot be collected in real time, real-time abnormal fluctuation cannot be accurately captured, potential risks of ground current cannot be effectively recognized in advance, and the early warning instantaneity and accuracy are insufficient are solved, low-power-consumption continuous monitoring of the ground current is achieved, and the early warning efficiency is improved. The technical effect of improving the real-time performance and accuracy of monitoring and early warning is achieved.

The invention discloses a grounding grid state evaluation and three-dimensional visualization method based on historical data comparison. The method comprises the following steps: step 1, intelligent acquisition of key parameters of a grounding grid: carrying out online monitoring and data acquisition on grounding impedance, contact potential difference and step potential difference parameters; 2, carrying out on-line monitoring and data acquisition on the conductivity of the grounding grid; step 3, performing comparison by adopting a fuzzy analytic hierarchy process and combining conductivity monitoring data between grounding grids in an access area, local grounding grid corrosion state monitoring data and grounding grid operation state monitoring historical data to realize grounding grid state comprehensive evaluation; step 4, establishing a grounding grid three-dimensional model and performing three-dimensional visualization by combining the plurality of key parameter detection values measured in the step 1 and the step 2 and the safety evaluation result obtained in the step 3; according to the method, the reasonable safety state of the grounding grid can be accurately expressed, and the real spatial position of the grounding system can be intuitively expressed.

The invention provides a method for testing the stability of an electronic product, and the method comprises the steps: obtaining the propagation characteristic data of a transient current in a grounding network, building a multi-point grounding network model in combination with the potential distribution data of each node, inputting the potential of the nodes and the transient current data, and predicting the fluctuation trend of the ground potential through the multi-point grounding network model; according to the predicted ground potential fluctuation trend, extracting a coupling path of an interference signal in the grounding network when common-mode interference exists, and determining a main node and a propagation direction of interference signal propagation to obtain a sensitive circuit; calculating node potential distribution data of the grounding network after node layout, judging whether the potential difference between key nodes is within a preset range or not, and if the potential difference exceeds the preset range, refining network division, increasing equipotential connection or locally reducing grounding resistance; and determining a matching design scheme of the grounding network and the sensitive circuit according to the anti-interference capability, building a test platform, and testing stability data of the grounding system in different electromagnetic environments.

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 provides a grounding grid topological structure detection method and device based on adaptive differential. The method comprises the following steps: obtaining a transverse magnetic field component and a longitudinal magnetic field component of an area to be detected; performing peak extraction on the transverse magnetic field component and the longitudinal magnetic field component, and performing peak-dividing fitting to obtain parameters of each peak; and constructing a differential threshold, carrying out adaptive differential based on the parameter of each wave crest to obtain a differential result, and carrying out superposition imaging on all the differential results to obtain a grounding grid topological structure of the to-be-detected area. According to the scheme, different types of magnetic field wave crests of each magnetic field observation line are identified through the KNN algorithm, and adaptive differentiation is carried out on different wave crests through a threshold value judgment mode, so that the grounding topology magnetic field characteristics of a weak peak area are remarkably enhanced.

The invention discloses a transformer substation grounding grid corrosion state evaluation method based on hybrid driving of a data model and a simulation model, which is used for detecting a grounding grid laid in a transformer substation and judging and evaluating the corrosion state of the grounding grid. Comprising the following steps: firstly, performing simulation modeling on a grounding grid in a magnetic field environment under specific conditions by adopting electromagnetic field simulation software; secondly, performing data modeling on the corrosion state of the grounding grid by adopting a neural network based on field magnetic field measurement data; thirdly, fusing the simulation model and the data model; and finally, evaluating the corrosion state of the grounding grid according to the fused model. According to the method, the simulation model and the data model are fused, the problem that evaluation is inaccurate due to the fact that a single model is adopted is solved, in addition, the idea of double-layer fusion of model fusion and result fusion is adopted, and the evaluation accuracy is further improved.

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 grounding grid corrosion diagnosis method and system based on an electric network theory and an intelligent algorithm. The method comprises the following steps: establishing a fault diagnosis equation of a grounding grid by using the electric network theory; iteratively solving the fault diagnosis equation by adopting a particle swarm simulated annealing fusion algorithm to obtain a globally optimal solution of the resistance of each branch of the grounding grid; and comparing the global optimal solution of the resistance of each branch of the grounding grid with the corresponding nominal resistance, and identifying the corrosion condition of each branch of the grounding grid. According to the method, the fault diagnosis equation is established by using the electrical network theory, the optimization model about the node voltage is constructed, and iterative solution is performed by using the particle swarm simulated annealing fusion algorithm, so that each corrosion branch of the grounding grid can be quickly and accurately identified, and technical support and technical reference are provided for grounding grid corrosion diagnosis research.

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 provides a grounding grid corrosion defect identification method based on an edge enhancement model, a medium and equipment, and relates to the technical field of grounding grid corrosion defect identification. On the basis of a traditional LeNet-5 network structure, two channels with different scales are connected in parallel to form a three-channel parallel module, macroscopic and microscopic information on different scales can be extracted, and the mutual relation between the macroscopic and microscopic information can be captured through cross-scale convolution, so that the information between the macroscopic level and the microscopic level is fused, and the information fusion efficiency is improved. The expression capability of the network on corrosion defects in different shapes is improved; by adding the edge extraction module, a traditional full connection layer is improved, network parameters can be greatly reduced, the overfitting problem is effectively avoided, meanwhile, the network structure is simplified, and the identification accuracy of the corrosion defect of the grounding grid is effectively improved.

The invention relates to the technical field of electromagnetic interference, in particular to a grounding method for suppressing electromagnetic interference of a nuclear power instrument control cable based on a Cidson law. The method comprises the following steps: S1, evaluating an electromagnetic environment around the instrument control cable of the nuclear power station through a spectral analysis method, and determining a main interference source and an affected equipment position; s2, optimizing the design of the grounding network based on the electromagnetic environment according to a Souderson law, and enabling the grounding resistance in the grounding network to be kept in a safe range; and S3, after the grounding network is actually installed in the instrument control cable system of the nuclear power station according to the planning and design requirements, verifying the effectiveness of the grounding network through grounding resistance measurement. According to the design of the invention, through detailed electromagnetic environment evaluation and spectrum analysis, the method can accurately identify a main interference source and an influence range thereof. The ground resistance can be effectively controlled by optimizing the design of the ground network by means of the Cibson law.

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.

The invention relates to the field of electric power system detection, and provides a transformer substation grounding grid corrosion detection and positioning method based on an improved optimization algorithm, which comprises the following steps: detecting a grounding grid by using a ground penetrating radar device and an electromagnetic induction instrument, obtaining GPR and EMI data, inputting the data into an MATLAB / Simulink platform for analog simulation, respectively carrying out space-time convolution processing on the received GPR and EMI data, and carrying out optimization processing on the GPR and EMI data; extracting feature information of time and space dimensions; a self-attention algorithm is applied to a processing result of space-time convolution, a long-range dependency relationship is captured, meanwhile, dynamic weight distribution is carried out on different dimension features through self-adaptive gating fusion, and feature information of time and space dimensions of GPR and EMI is fused; comparing the fused feature information with pre-stored feature information of an original grounding grid to generate a detection result; according to the method, accurate detection and positioning of corrosion of the transformer substation grounding system are realized by improving a multi-modal data fusion framework of the space-time convolutional neural network and the self-attention mechanism.

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 belongs to the technical field of point cloud segmentation. The invention provides a ground segmentation method and system based on adaptive grid division and intensity information, and the method comprises the steps: carrying out the height and intensity preprocessing of laser radar point cloud data, removing noise and invalid point cloud, and obtaining the preprocessed point cloud data; carrying out adaptive grid division on the preprocessed point cloud data to obtain plane grids; performing grid area growth on the plane grid to obtain a ground grid; dynamically grouping the ground grids based on the grids of the intensity information to obtain intensity grid categories; and carrying out confidence coefficient correction on the strength grid category to obtain a ground point and a non-ground point. The method can effectively identify and segment ground conditions such as roads and slopes, eliminates interference point clouds such as roadside grassland, and improves the accuracy of ground segmentation.

The invention discloses a grounding grid corrosion rate prediction method, medium and system, and the method comprises the steps: training a neural network model through employing a first grounding grid corrosion rate and first grounding grid soil physical and chemical data, and obtaining a grounding grid corrosion rate prediction inversion model; inputting the second grounding grid corrosion rate into the grounding grid corrosion rate prediction inversion model, and outputting second grounding grid soil physical and chemical data; combining the first grounding grid soil physical and chemical data and the second grounding grid soil physical and chemical data to obtain third grounding grid soil physical and chemical data, and combining the first grounding grid corrosion rate and the second grounding grid corrosion rate to obtain a third grounding grid corrosion rate; training a neural network model by adopting the third grounding grid soil physicochemical data and the third grounding grid corrosion rate, and optimizing a weight and a threshold value through a simulated annealing algorithm to obtain a grounding grid corrosion rate prediction model; and inputting actually acquired soil physical and chemical data into the grounding grid corrosion rate prediction model, and outputting the grounding grid corrosion rate. The method is high in prediction accuracy.

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.