56results about How to "Keep properly" patented technology

The invention discloses a multi-source ship target identification method based on two-stage collaborative fusion, and relates to the technical field of signal processing, and the method comprises the steps: firstly collecting target sea area data, including original optical image and radar image data, by means of an optical camera and a radar sensor on an aircraft, and then carrying out the preprocessing of the collected data through Gaussian filtering; performing sea-land segmentation by using a deep learning algorithm, constructing a loss function optimization network parameter to obtain a segmentation mask, and removing a land background area according to a mask result to obtain processed optical and radar images; an improved SURF feature and graph cut algorithm combined registration method is adopted, optimal transformation parameters are obtained by screening feature point pairs and solving the minimum value of an energy function, and image registration is achieved; for the registered images, fusing the images based on an adaptive fusion rule; and finally, extracting corresponding features through manual feature extraction and feature extraction based on deep learning, and fusing the features to obtain a final target recognition result.

The invention discloses a user identity identification method and device based on tooth scanning data. The method comprises the following steps: acquiring a tooth scanning data set and a user tooth standard data set; the tooth scanning data set comprises tooth scanning data; the user tooth standard data set comprises tooth scanning data pre-collected by a plurality of users; preprocessing the tooth scanning data set to obtain a preprocessed data set; performing identification processing on the preprocessed data set and the user tooth standard data set to obtain user identification information; the user identification information is used for representing user identity information corresponding to the tooth scanning data set. According to the invention, based on the tooth scanning image data, rapid and accurate user identity identification is realized.

The invention relates to the field of predictive analysis, in particular to an intelligent power data monitoring and predicting method and system based on financial digital intelligence, and the method comprises the steps: obtaining a plurality of load data segments, and decomposing the load data segments to obtain cycle subitems and frequency subitems; calculating the rule availability according to the cycle analysis and the frequency sub-items, wherein the rule availability is positively correlated with the rule accessibility and the rule reasonability; the rule accessibility is in positive correlation with both the period accessibility and the trend accessibility, the rule reasoning is in positive correlation with both the period reasoning and the trend reasoning, and the weighting coefficient of the prediction algorithm is adjusted by using the rule availability so as to realize load data prediction. Therefore, accurate power load prediction is realized in a self-adaptive weighting coefficient mode.

A fissure occurrence parameter extraction method based on a borehole image relates to the technical field of geological resources and geological engineering, and mainly comprises the following steps: collecting and importing an original borehole image of a drilling area, enhancing and denoising the original borehole image, binarizing the image through dynamic area division, and obtaining a fissure occurrence parameter extraction result; detecting the edge of the fracture structural plane by using a Canny operator for carrying out adaptive threshold selection based on a borehole image gradient histogram, carrying out sine curve fitting on the fracture structural plane, and extracting fracture occurrence parameters on a fitted fracture sine curve; based on the engineering drilling image, the rock mass structural surface can be automatically identified, occurrence parameters can be extracted, previous manual intervention and operation are replaced, and the efficiency of analyzing geological conditions and underground water migration conditions in geological engineering is improved.

The invention relates to the technical field of image fusion, in particular to a multi-scale feature image fusion method in a complex scene, which comprises the following steps of: S1, performing multi-scale analysis on each input image by combining a multi-scale convolutional neural network with depth separable convolution, and identifying and strengthening key features between a focusing region and a defocusing region through a CA coordinate attention module; s2, screening and strengthening the feature maps through an attention gate module, and further fusing to obtain a comprehensive feature map; and S3, carrying out initial segmentation on the fused feature mapping, and generating a final segmentation graph or decision graph by adopting the strong segmentation capability of the U-Net model and combining morphological processing and watershed algorithm fine adjustment. The integrated processing strategy ensures the accuracy of the decision diagram and the high quality of the fused image.

The invention provides a building electrical safety detection method and system, and relates to the technical field of electrical detection, and the method comprises the steps of first collection, second collection, first processing, second processing, third processing, model construction, model training, fault recognition and the like. The compressed sensing algorithm and the morphological filter are used, noise and interference signals in the data are effectively removed, the accuracy of fault detection of the electrical equipment in a complex electromagnetic environment in a high-rise building is improved, faults of the electrical equipment can be found in time, corresponding maintenance measures can be taken, and the fault detection efficiency is improved. And safe and stable operation of an electrical system is ensured.

The embodiment of the invention provides a noise suppression processing method and device and a storage medium, and the method comprises the steps: accumulating all signal paths in a signal window according to antennas in an antenna traversal process, and determining a signal power accumulated value of each signal path; determining a maximum signal path position in the signal window based on the signal power accumulated value; determining whether the time domain signal-to-noise ratio is a high signal-to-noise ratio or a low signal-to-noise ratio according to the size relationship between the time domain signal-to-noise ratio of the user equipment and a preset signal-to-noise ratio threshold value; and under the condition that the time domain signal-to-noise ratio is the low signal-to-noise ratio, the inverse discrete Fourier transform output time domain data at the maximum signal path position of each antenna is reserved to serve as the time domain data after noise suppression. The problem that the sum of the power of the signal path and the power path of a single antenna is smaller than the maximum noise power is solved, real useful signals can be reserved more accurately, and the anti-interference capability is improved to a great extent.

The present application provides a holding mechanism that uses a Bernoulli pad to attract and hold a plate-shaped object without damaging the plate-shaped object. The holding mechanism has a Bernoulli pad that holds a plate-shaped object by the action of negative pressure generated by blowing air against the plate-shaped object, and has a hand portion to which the Bernoulli pad is attached, a sensor attached to the hand portion that detects when the plate-shaped object is held by the Bernoulli pad, a lateral movement restriction portion attached to the hand portion that restricts lateral movement of the plate-shaped object, a tube that connects an air source that supplies air to the Bernoulli pad to the Bernoulli pad, an adjustment valve attached to the tube that adjusts the flow rate of air supplied to the Bernoulli pad, and a control portion that controls the operation of the adjustment valve. The control portion gradually increases the flow rate of air supplied from the adjustment valve to the Bernoulli pad, and fixes the flow rate of air when the plate-shaped object is held by the Bernoulli pad by the action of negative pressure detected by the sensor.

The utility model relates to the technical field of storage devices, and discloses an anti-caking device for molten aluminum storage, which comprises a heating barrel, a telescopic rod is arranged on the outer wall of the heating barrel, the output end of the telescopic rod is fixedly connected with a top cover, the upper surface of the top cover is fixedly connected with a motor, and the output end of the motor is fixedly connected with a rotating rod. The rotating rod is rotatably connected to the interior of the heating barrel, a connecting rod is slidably connected to the outer wall of the rotating rod, stirring blades are fixedly connected to the outer wall of the connecting rod, a first connecting pipe is fixedly connected to the interior of the top cover, and a cavity is fixedly connected to one end of the first connecting pipe. According to the utility model, the motor drives the connecting rod to enable the stirring blades to rotate so as to stir molten aluminum in the heating barrel, so that uniform heating is realized, caking is prevented, the heat insulation layer isolates heat, the energy consumption is reduced, the heat loss to other mechanisms is reduced, and the service life of the device is prolonged.

The invention discloses a transmission device of a self-locking electric actuating mechanism, and relates to an electric actuating mechanism. Comprising a worm arranged on a shell and driven by a motor to rotate; the worm gear is arranged on the output shaft in a sleeving manner and is meshed with the worm; the gear A is arranged on the output shaft in a sleeving manner and is in transmission connection with the worm gear; the planet carrier X is fixedly arranged on the output shaft in a sleeving manner; the planet carrier X is provided with a first gear C which is rotatably arranged, and the planet carrier X is driven to rotate through meshing of the gear A and the first gear C, so that the output shaft is driven to rotate; according to the scheme, by means of the self-locking performance of the worm and gear pair and the planetary transmission mechanism, the motor shaft and the hand wheel of the electric actuating mechanism are effectively prevented from reversing, accidental injuries caused by following rotation can be avoided, and the valve can be accurately kept at the set position.

This invention relates to the preparation and application of silicon-carbon anode materials, and discloses a silicon-carbon anode material modified with lithium phosphide nanoparticles, its preparation method, and a secondary battery. The material has a core-shell structure, with the core comprising porous carbon and lithium phosphide nanoparticles and silicon nanoparticles generated in situ within the micropores of the porous carbon; the shell comprises a composite coating layer composed of amorphous carbon and carbon nanotubes; silicon accounts for 45-65 wt% of the modified silicon-carbon anode material by mass, and the P / Si molar ratio of the lithium phosphide nanoparticles to the silicon nanoparticles is 2:98~30:70. A small amount of phosphorus source is first deposited in the porous carbon micropores, followed by lithiation treatment to convert the phosphorus in the porous carbon into lithium phosphide nanoparticles, then a second deposition of silicon nanoparticles, and finally overall carbon coating. This invention's modified silicon-carbon anode material improves the problem of rapid impedance increase in the low-charge range of silicon-carbon anode materials, significantly enhancing the user experience.

The invention discloses a medical image super-resolution reconstruction method and device, equipment, a medium and a product, and relates to the technical field of computer image processing, and the method comprises the steps: carrying out the preprocessing of the original data of brain nuclear magnetic resonance of a target object, and obtaining a high-resolution reference image and a low-resolution target image; respectively extracting multi-scale features of the target image and the reference image to obtain a multi-scale target feature map and a multi-scale reference feature map; based on the multi-scale target feature map and the multi-scale reference feature map, screening out key features and performing texture enhancement on the key features to obtain a multi-scale texture feature map; aligning and fusing the multi-scale texture feature map and the multi-scale target feature map to obtain a multi-scale fused feature map; and generating a high-resolution target image based on the multi-scale fusion feature map. According to the method, the core anatomical structure of the reconstructed image is clearer, the noise is lower, and the requirements for anatomical information of different scales in clinical diagnosis are met.

Crystal growth furnace equipment comprises a crystal growth crucible mechanism, a seed crystal preparation mechanism and a seed crystal setting mechanism. The crystal growth crucible mechanism comprises a crystal growth crucible assembly. And the crystal growth crucible assembly is provided with a crucible upper cover. The seed crystal preparation mechanism comprises a seed crystal pre-storage crucible and a pre-storage upper cover. Seed crystals are arranged on the bottom surface of the pre-storage upper cover. And the pre-storage upper cover can be matched with the seed crystal pre-storage crucible and is used for pre-sealing the seed crystal. The seed crystal setting mechanism comprises a rotating module. The rotating module is provided with two clamping assemblies used for taking and placing the crucible upper cover and the pre-stored upper cover correspondingly. The clamping assembly can be controlled to be matched so that the positions of the crucible upper cover and the pre-stored upper cover can be exchanged. According to the utility model, by virtue of the seed crystal setting mechanism, artificial pollution caused when the seed crystal is replaced into the crystal growth crucible mechanism can be avoided.

An end cap holder can include a base block and a holding block. The base block can be configured to provide a torque to an end cap that can be located at a nozzle of a gas cylinder for connecting the end cap with the nozzle / detaching the end cap from the nozzle. An angle correction groove can be formed in a first surface of the base block oriented toward the end cap. The holding block can be rotatably accommodated in the angle correction groove to hold the end cap. The holding block can selectively form a point contact with the base block to transmit the torque of the base block to the end cap. Accordingly, the holding block can accurately hold the end cap obliquely with respect to a vertical axis or a horizontal axis.

The invention provides a resistance anode single-photon camera based on a triangle-trapezoid double-channel shaping algorithm, which is used for solving the problem that a signal superposition phenomenon can occur in a trapezoid shaping signal flat top part of an existing resistance anode single-photon camera based on a trapezoid filter shaping algorithm. The technical problem that the imaging resolution of the resistance anode single-photon camera is reduced due to the fact that the amplitude of the next pulse is affected by the tail wave of the previous pulse and even amplitude extraction and position signal calculation are affected when excessive signals are superposed is solved. According to the resistance anode single-photon camera provided by the invention, a simulation part in traditional electronics is digitalized, a triangular shaping algorithm is introduced on the basis of a traditional trapezoidal shaping algorithm, the pulse position is determined through the triangular shaping algorithm, and then the pulse amplitude is determined through the trapezoidal shaping algorithm, so that the accuracy of the resistance anode single-photon camera is improved. The effective pulse peak value under the condition of pulse superposition can be identified more accurately, and the spatial resolution of the resistance anode single-photon camera is greatly improved.

The invention discloses a test device and method for a planetary reducer, and belongs to the technical field of automobile part testing. Comprising a rack, the rack comprises a top test platform, the test platform is sequentially provided with an input end sliding platform, a first cushion block, a second cushion block and an output end sliding platform, the input end sliding platform is provided with a driving motor and an input end torque rotating speed sensor, the first cushion block is provided with a tested planetary reducer, and the second cushion block is provided with an output end torque rotating speed sensor. An input end circular grating and an output end circular grating are correspondingly arranged on an input shaft and an output shaft of the tested planetary reducer, an output end torque rotating speed sensor is arranged on the second cushion block, and a test accompanying planetary reducer and a load motor are arranged on the output end sliding platform. According to the new scheme, a new load end loading mode is ingeniously adopted, and measurement of performance key parameters such as torsional rigidity and return difference is successfully achieved.

The invention relates to a sound wave signal noise reduction method and device, electronic equipment and a computer storage medium, and belongs to the technical field of signal processing.The sound wave signal noise reduction method comprises the steps that a to-be-processed sound wave signal is obtained, and the to-be-processed sound wave signal comprises a noise sound wave signal and a target sound wave signal; performing short-time Fourier transform on the to-be-processed sound wave signal to obtain a complex domain time-frequency signal of the to-be-processed sound wave signal; processing the complex domain time-frequency signal of the sound wave signal to be processed by adopting a preset complex convolutional neural network model to obtain a complex proportion masking value; enhancing the complex domain time-frequency signal of the to-be-processed sound wave signal by using the complex proportion masking value to obtain a complex domain time-frequency signal of the target sound wave signal; and performing inverse short-time Fourier transform on the complex domain time-frequency signal of the target sound wave signal to obtain a time domain signal of the target sound wave signal. According to the invention, the target sound wave can be more accurately reserved, and the noise reduction accuracy of the sound wave signal is ensured.

The embodiment of the invention provides a data processing method and electronic equipment, and relates to the technical field of data processing, the data processing method is applied to the electronic equipment, the electronic equipment is back-end equipment used for calling a second analysis model, and the method comprises the following steps: receiving code stream data and an initial analysis result reported by front-end equipment; determining frame identification information of a plurality of target video frames belonging to the target code stream based on the alarm description information and the object description information of each object; based on the determined frame identification information, decoding the plurality of target video frames from the target code stream to obtain an image sequence corresponding to the alarm object; calling the second analysis model to perform alarm analysis processing on the image sequence to obtain a target analysis result corresponding to the alarm object; wherein the target analysis result is used for representing that the alarm object is reserved or rejected. Through the scheme, the missing report of alarm analysis can be reduced.

The invention belongs to the technical field of power distribution network operation and control, and particularly relates to a power distribution network topology switching path generation method and system based on loop matching, and the method comprises the steps: accurately obtaining a to-be-closed branch and a to-be-disconnected branch of a topology network through the structural difference between an initial topology structure and a target topology structure; the perfect matching between each to-be-closed branch and each to-be-disconnected branch is obtained by constructing the operation bipartite graph, and the complex topology constraint relationship between the branches can be converted into the matching and sorting problem in the graph theory, so that the computing power consumption in the topology switching path acquisition process can be obviously reduced; therefore, the generation efficiency of the topology switching path can be improved; through the timing constraint graph and topology connectivity verification, the non-executable topology switching paths can be screened out, so that the feasible topology switching paths can be accurately reserved. Therefore, the method and the system provided by the invention can efficiently and accurately generate the feasible topology switching path.

The application relates to the technical field of natural language processing, in particular to an NLP-based income and expenditure analysis report intelligent interaction method and system, which comprises the following steps: extracting a question keyword set of each user question sentence and an interaction keyword set of a corresponding interaction result sentence of the user question sentence; obtaining a close association evaluation value between the user question sentence and each adjacent question sentence of the user question sentence, and then obtaining a question and answer coherence degree of each user question sentence, calculating a semantic evolution degree of each user question sentence, and obtaining a key historical question sentence of the current user question sentence; using a BERT model to perform intent recognition and named entity recognition on the user question sentence, and then obtaining an income and expenditure analysis report. The application can improve the intelligent interaction efficiency of the income and expenditure analysis report.

This invention relates to the field of cloud databases and discloses a method for incremental synchronization of health data based on an intelligent cloud database. The method includes: collecting change data from multiple health data sources and generating candidate incremental records; matching the candidate incremental records with individual identifiers, event identifiers, data domain identifiers, and event time windows according to the health master index mapping rules to construct health event synchronization units; determining the target synchronization granularity based on the category of changed fields, and determining release conditions by combining the arrival status of the master record, the arrival status of the result record, the arrival status of the audit record, the arrival status of the signature record, and the authorization status; generating a structured incremental synchronization view for the corresponding target end and writing it to the intelligent cloud database when the release conditions are met; and performing compensation processing based on the synchronization unit identifier, the previous version identifier, and the synchronization level of the target end when supplementation, correction, revocation, authorization withdrawal, or health master index merging is detected.

The embodiment of the present application provides a data processing method and electronic device, which relates to the field of data processing technology and is applied to electronic devices. The electronic device is a back-end device for calling a second analysis model. The method includes: receiving code stream data and initial analysis results reported by a front-end device; determining frame identification information of multiple target video frames belonging to the target code stream based on the alarm description information and the object description information of each object; decoding the multiple target video frames from the target code stream based on the determined frame identification information to obtain an image sequence corresponding to the alarm object; calling the second analysis model to perform alarm analysis processing on the image sequence to obtain a target analysis result corresponding to the alarm object; wherein the target analysis result is used to characterize: retaining or eliminating the alarm object. This solution can reduce the underreporting of alarm analysis.

This invention discloses a lightweight image super-resolution reconstruction method, system, and storage medium, relating to the field of image processing technology. Specifically, it includes: acquiring high-resolution and low-resolution images of the target as training sample pairs; constructing a lightweight image super-resolution reconstruction model comprising a shallow feature extraction module, a deep feature extraction module, a multi-layer feature fusion module, and an image reconstruction module. The shallow feature extraction module performs shallow processing on the low-resolution image; the deep feature extraction module consists of multiple cascaded enhanced separable residual feature refinement blocks, extracting shallow features to obtain multiple deep features; the multi-layer feature fusion module is used to obtain fused features; and the image reconstruction module is used to output the high-resolution image. The trained model is used to reconstruct the low-resolution image to be processed. This invention has a simple network structure and achieves accurate reconstruction of image texture and details using only a low number of parameters and computational cost.

This invention discloses a raw material pretreatment method for zone melting purification of high-purity aluminum, belonging to the field of non-ferrous metal refining technology. The pretreatment method includes alkaline washing, acid neutralization, cleaning and drying, and vacuum-protected loading steps. High-purity aluminum raw material is immersed in a 5-8% sodium hydroxide aqueous solution at room temperature for 5-30 seconds, and removed when bubbles begin to form on the substrate. The alkaline-washed aluminum material is then immersed in an 8-12% nitric acid or acetic acid aqueous solution for neutralization for 10-20 seconds. After acid neutralization, the aluminum material is cleaned and dried, then placed in a zone melting furnace. A vacuum is drawn, and inert protective gas is introduced to atmospheric pressure or a slightly positive pressure. This method thoroughly removes oxide scale from the surface and bonding surfaces of the aluminum material, effectively preventing secondary oxidation during post-treatment transfer and loading. It creates continuous and unobstructed molten pool propagation conditions for the zone melting process, ensuring the smooth progress of the purification process and the high quality of the final product. This method is particularly suitable for eliminating oxide scale on the bonding surfaces of segmented aluminum rods to ensure the smooth operation of the zone melting process.

The invention discloses a multi-layer battery charging automatic transferring and cooling system and a control method. The multi-layer battery charging automatic transferring and cooling system comprises a steel frame, water bath assemblies and transferring assemblies, wherein the water bath assemblies are vertically and fixedly arranged on the steel frame in a layered mode, and the transferring assemblies are correspondingly arranged in the layered mode. The water bath assembly comprises a plurality of water bath tanks which are arranged in parallel and circulating water distribution pipes which extend to the water bath tanks and continuously replenish water, and overflow tanks are arranged on the sides of the water bath tanks; the transferring assembly comprises a conveying chain plate arranged at the end of the water bath and a lifting machine arranged at the end of the conveying chain plate, and the conveying chain plate extends in the parallel arrangement direction of the water bath. The water bath assembly and the transfer assembly are integrated and fixed on the steel frame and are arranged in a layered manner through the steel frame, and the transfer assembly is matched to convey the batteries, so that the production efficiency is multiplied while ordered production is realized.

The application discloses a manufacturing method of a single-layer circuit flexible circuit board for an intelligent vision module, takes a copper layer and respectively pastes a first dry film and a protective film, a window is made on the first dry film corresponding to a hollow circuit pattern, a tin plating layer is formed, a tin plating plate is formed; a single-sided copper-clad plate is taken, a circuit pattern is made corresponding to the tin layer area, a copper pattern of the copper-clad plate is formed, a first pattern plate is formed; the tin plating plate is correspondingly pressed with the first pattern plate to form a pressed plate; the protective film in the pressed plate is removed, a circuit pattern is made, a copper layer window pattern and a hollow circuit pattern are formed, and a second pattern plate is formed; the area corresponding to the copper pattern of the copper-clad plate of the insulating medium layer in the second pattern plate is removed, then tin removal processing is performed, after processing, the hollow circuit pattern forms a hollow circuit, and a flexible circuit board is formed; the tin layer provides protection for etching, creates a release condition for the copper pattern of the copper-clad plate, and lays a foundation for uncovering the insulating layer, and finally realizes efficient and high-precision processing of the flexible circuit board.

The application provides a resistance anode single photon camera based on a triangle-trapezoid dual-channel shaping algorithm, and aims at solving the technical problem that the trapezoidal shaping signal flat top part of the existing resistance anode single photon camera based on a trapezoidal filter shaping algorithm will appear signal superposition phenomenon, which causes the tail wave of the previous pulse to affect the amplitude of the next pulse, and even when the signal superposition is too much, the amplitude extraction and position signal calculation will be affected, and then the imaging resolution of the resistance anode single photon camera is reduced. The resistance anode single photon camera provided by the application digitizes the analog part in the traditional electronics, and introduces a triangle shaping algorithm on the basis of the traditional trapezoidal shaping algorithm, determines the pulse position through the triangle shaping algorithm, and then determines the pulse amplitude through the trapezoidal shaping algorithm, so that the effective pulse peak value under the pulse superposition condition can be more accurately identified, and the spatial resolution of the resistance anode single photon camera is greatly improved.

The present invention provides a method and device for locating tampered audio, which can be applied to the fields of computer technology and audio signal processing technology. The method for locating tampered audio includes: performing feature extraction processing on the audio to be detected to obtain a first feature and a second feature, wherein the first feature represents the speech feature of the audio to be detected, and the second feature represents the temporal self-consistency feature of the audio to be detected; determining a fusion feature based on the first feature and the second feature, wherein the dimension of the fusion feature is the same as the number of frames of the audio to be detected; and inputting the fusion feature into a trained reinforcement learning network to obtain a positioning result, wherein the positioning result represents the position of the tampered audio in the audio to be detected.

The invention belongs to the technical field of mildew prevention and sterilization of plant specimens, and particularly relates to a composite mildew preventive for in-situ treatment of plant rhizome specimens, a composition and application. The invention firstly provides a composition for preventing mildew and sterilizing plant specimens. The composition is prepared from the following components in parts by weight: 20 to 30 parts of rhizoma coptidis extract, 10 to 30 parts of pepper extract, 5 to 10 parts of curcumine, 20 to 30 parts of fructus cnidii extract, 5 to 10 parts of sodium diacetate and 0 to 40 parts of auxiliary materials. The composition is sieved and uniformly mixed to prepare the composite mildew preventive. The composite mildew preventive is suitable for in-situ mildew prevention and removal of plant rhizome specimens, can be used for preventing mildew for a plurality of moulds for a long time, can also be used for effectively removing mildew spots and pigments on the surfaces of rhizome parts of the plant specimens, and has the advantages of being green, environmentally friendly, non-toxic and pollution-free.

The invention discloses a power grid power transmission line fault early warning method. The method comprises the steps of obtaining historical environmental factor data and historical power grid operation state data; extracting features related to power transmission line faults and effective features corresponding to different types of power transmission line faults based on the historical environmental factor data and the historical power grid operation state data; constructing a fault probability prediction model according to the characteristics related to the power transmission line fault; constructing a fault type prediction model according to the effective features corresponding to the different types of power transmission line faults; acquiring current environmental factor data and power grid operation state data in real time, and inputting the data into the fault probability prediction model and the fault type prediction model to predict the fault probability and the fault type of the power transmission line; and when the fault occurrence probability exceeds a preset probability threshold, starting an early warning program. According to the design, the fault probability and the fault type of the line can be judged, so that corresponding prevention measures can be taken in time, and the reliability and the safety of a power grid are improved.