702 results about "Target line" patented technology

The invention discloses an initial orbit determination method for passive angle measurement of a ring fire orbit for Mars sampling return, and the method comprises the steps: building an absolute dynamic model, obtaining an absolute motion state of a spacecraft, and deducing a relative motion state X; constructing a data set by using the measurement quantities H and X of the sensor; a network architecture is designed, input data I are position and speed coordinates of the tracker in a Mars equator inertial coordinate system and angle information converted from H, and output data are X; and finally, adjusting an observation interval dt and times k according to a ring fire observation condition, training a physical information neural network by using limited observation data, defining a total loss function F comprising a loss function FY and a physical law penalty term FD, and optimizing a weight coefficient and bias by minimizing the loss function through an F gradient descent method. According to the method, the neural network is trained offline, a network mapping model from a target line-of-sight angle measurement sequence to a target orbit is constructed, and the network mapping model is solidified on a returner for online use, so that sampler short-arc passive measurement rapid orbit determination is realized.

The invention provides a deicing control method and system for a power transmission line in a cold region, and relates to the technical field of power system power transmission line operation and maintaining.The method comprises the steps that icing data of the power transmission line are collected, the icing data are multi-source data and comprise the ice layer thickness, the ice type category and the distribution characteristic, and the ice layer thickness, the ice type category and the distribution characteristic are obtained by combining environment temperature, humidity and geographical location information; dynamically selecting a plurality of spatial sampling positions on the target line to construct a spatial correlation area for feature analysis; and obtaining correction parameters based on morphological characteristics of the spatial correlation region, performing spatial superposition and feature fusion analysis on the multi-source data according to the correction parameters, and extracting an icing feature set which is dynamically corrected and reflects the overall icing state of the line. According to the invention, differentiated ice removal in different climate areas can be realized, and intelligent deicing control of accurate identification, mode adaptation and closed-loop adjustment is realized in combination with multi-source monitoring data.

The invention relates to a multi-target line spectrum characteristic distinguishing method based on DBSCAN clustering, and the method comprises the following steps: 1, receiving space low-resolution sonar platform time domain data, and carrying out the short-time frequency modulation Fourier transform of the space low-resolution sonar platform time domain data, so as to obtain a frequency modulation Fourier transform spectrum; 2, corresponding fi of peak values is extracted from the frequency modulation Fourier transform result of each time period at each frequency, so that an instantaneous frequency matrix F of different frequencies and different times is obtained, F = [f1 (tau), f2 (tau),..., fi (tau)], and i represents a corresponding spectral line frequency; and step 3, respectively removing outliers caused by noise or interference in the fi (tau). According to the method, dense data points can be found from the sparse region, and the data points in the sparse region are marked as noise, so that the interference of noise points can be better eliminated.

The invention relates to a power line network unknown port and branch discovery method and device and computer equipment. The method comprises the following steps: determining the number of unknown ports on a target line and the corresponding branch length according to the frequency response of a sweep frequency signal between a transformer substation and a target communication node; according to the frequency response of the sweep frequency signal, determining multipath parameters from the transformer station to the self-transmitting and self-receiving and from the transformer station to the target communication node; determining a first port closest to the substation according to the multipath parameter and the branch length, and determining a multipath channel response caused by the first port; and updating the frequency response of the sweep frequency signal according to the multipath channel response, and re-determining a first port closest to the transformer substation according to the updated frequency response of the sweep frequency signal until the number of unknown ports on the target line is zero. By adopting the method, the power line network topology can be accurately constructed.

The invention relates to the technical field of electromagnetic measurement, and discloses a line partial discharge positioning method and system based on pulse signal analysis, and the method comprises the steps: carrying out the band-pass filtering of pulse signal data, and obtaining a preprocessing signal; constructing a waveform template library based on the historical partial discharge pulse waveform data; screening out a partial discharge pulse and an interference pulse in the preprocessed signal to obtain a pulse matching result of the preprocessed signal; determining time difference data of the preprocessed signal according to time differences of pulses reaching different sensors in the pulse matching result; constructing an initial propagation velocity model according to the parameters and the environment data, performing iterative optimization on the initial propagation velocity model according to the time difference data, and determining an initial position of a partial discharge source in the line; correcting the initial propagation velocity model according to the initial position and the actual propagation path to obtain a target propagation model, and determining position coordinates of a partial discharge source in the target line according to the target propagation model; according to the invention, the accuracy of line partial discharge positioning can be improved.

The invention discloses a wall surface identification method and device and a storage medium, and relates to the technical field of sensor positioning, and the method comprises the steps: carrying out the fitting processing of a laser radar point cloud collected by a laser point cloud radar, and obtaining a plurality of fitting line segments; screening a target line segment which is greater than a first length threshold and has the longest length from the plurality of fitting line segments; projecting target point clouds associated with the position of the target line segment in wall point clouds and obstacle point clouds collected by the depth camera on the target line segment, and determining at least one target wall surface line segment; and if the length of the target wall surface line segment is greater than a line segment threshold value, outputting the target wall surface line segment under a robot coordinate system to be used by a welting program. According to the invention, after laser point cloud filtering fitting, depth camera wall surface obstacle point cloud projection calibration is fused, the technical problem that the wall surface is difficult to effectively identify is solved, and the wall attaching precision and obstacle avoidance reliability of the cleaning robot in a complex scene are improved.

The embodiment of the invention provides an ink line detection method and system, electronic equipment and a storage medium, and relates to the technical field of building construction, and the method comprises the steps: obtaining point cloud data corresponding to a building; generating a panorama according to the point cloud data; segmenting the panorama into a plurality of image blocks, and respectively inputting the image blocks into a pre-trained ink line detection model to obtain a corresponding detection result image; and obtaining the position of a target ink line in the building according to the point cloud data and the detection result graph corresponding to each image block. In this way, the panorama is generated through the point cloud data, the panorama is input into the ink line detection model for detection, the detection result graph is output, the position of the target ink line is restored according to the point cloud data corresponding to the ink line in the detection result graph, automatic and accurate detection of the ink line is achieved, manual detection is replaced, and the detection efficiency is improved. Error accumulation caused by ink line mixing under the conditions of cracks, recesses and the like is reduced, the measurement difficulty under the condition that the ink lines are abraded or shielded is reduced, and the detection efficiency and precision of the ink lines are improved.

The invention relates to the technical field of laser processing, in particular to a linear laser engraving method and a laser engraving machine. The linear laser engraving method comprises the steps that a laser engraving path is obtained according to an engraving line pattern, the laser engraving path comprises a plurality of line segments, and the laser engraving path is split into a plurality of target line segment laser engraving paths; acquiring a moving path of a laser engraving head according to the laser engraving path; in combination with the engraving parameters, speed changes of the laser engraving head when the laser engraving head goes through the laser engraving paths of the target line segments are obtained; and the moving path or / and the laser projection state of the laser engraving head are / is adjusted, so that the energy per unit length of the laser projected to the laser engraving path of the original target line segment is within the error range. The carving depth of the carved pattern is consistent, and the visual sense is good.

The invention provides a visual synchronous localization and mapping method and device fusing point and line features, and relates to the technical field of visual synchronous localization and mapping, and the method comprises the steps: a key point extraction branch outputs a score graph used for representing the distribution of key points in a feature graph and a descriptor used for distinguishing each key point; the line feature extraction branch outputs a line segment of a code corresponding to each pixel point and the probability that each pixel point is a line segment endpoint, and determines a line segment which corresponds to each pixel point and is expressed by a target endpoint; according to the score plot and the descriptor, key points of the front and back image frames are matched, a successfully matched target key point is associated with a line segment corresponding to each pixel point, the line segments in the front and back image frames are matched, and features of a successfully matched target line segment are determined; according to the target key points and the target line segment features, the current vehicle is controlled to perform synchronous positioning and mapping, and the adverse effects of the two types of illumination defects on visual synchronous positioning and mapping can be relieved at the same time.

The invention discloses a hardware defect risk distribution prediction method, device and equipment, a storage medium and a program product, and the method comprises the steps: carrying out the preprocessing of historical monitoring data of a target line, and obtaining an event set and a feature set, and constructing a mapping matrix between the fault events and defect related elements based on a mapping relationship between the event set and the feature set, and constructing a hardware defect risk knowledge graph according to the hardware defect weight of each fault event in the event set and the mapping relationship. And constructing a hardware defect prediction model based on the mapping matrix and the hardware defect risk knowledge graph, inputting the real-time monitoring data of the target line into the hardware defect prediction model for risk prediction, and obtaining hardware defect risk distribution information of the target line, thereby accurately mining the relevance between a fault event and a defect related element, and improving the accuracy of hardware defect prediction. And the prediction accuracy of the hardware defect is improved, so that the stability of a power system is improved, and hardware maintenance resources are reasonably allocated to different areas.

The invention relates to the technical field of electric power ice melting, in particular to an electric power ice melting intelligent control method and system.The method comprises the steps that when it is detected that the current external environment meets the grounding knife switch opening condition according to meteorological parameters of a target line of an electric power ice melting system, a grounding opening instruction is generated; based on the grounding opening instruction and the line equipment state parameters, determining an optimal opening time point of the phase selection disconnecting link; an opening time sequence rule is generated according to the optimal opening time point, and a phase selection disconnecting link is controlled to execute opening operation according to the opening time sequence rule; determining a priority coefficient of the short circuit closing instruction; in the process of controlling the short-circuit disconnecting link to execute the closing operation according to the priority coefficient, if the ground wire and the wire are successfully connected in series, verifying the actual ice melting operation sequence to obtain an ice melting operation verification result; and based on the verification result of the ice melting operation, generating an ice melting operation optimization sequence by using a decision tree pruning algorithm. According to the invention, intelligent and accurate control of the electric power ice melting process is realized, and the influence of current oscillation on the system is effectively reduced.

The invention discloses a transmission conductor anomaly detection method, device and equipment, and the method comprises the steps: inputting a multi-modal fusion image obtained through image fusion through employing a DIVFusion technology into a preset YOLOv11 model, carrying out the anomaly detection of a transmission conductor, and obtaining an anomaly detection result which comprises an anomaly type and an anomaly positioning frame; extracting a transmission conductor from the multi-modal fusion image based on an MCMLSD algorithm to obtain a target conductor area graph; performing cross check in a mode of calculating an intersection-to-union ratio of an abnormal region according to the abnormal positioning frame and the target lead region graph to obtain a check result; and if the verification is passed, fusing the abnormity positioning frame and the target lead area graph, and generating a target detection result in combination with the abnormity type. The method can solve the technical problems that the prior art has application limitation and cannot adapt to the influence of a complex and changeable environment and the detection analysis of different wires, so that the wire anomaly detection result is lack of accuracy and reliability.

The invention discloses a multi-target line spectrum feature distinguishing method based on Single-link hierarchical clustering. The multi-target line spectrum feature distinguishing method comprises the following steps: step 1, performing short-time frequency modulation Fourier transform; step 2, extracting line spectrum frequency modulation slope identifiable features; step 3, outliers are removed; and step 4, Single-link clustering analysis and result output are carried out. In order to solve the problem that multi-target line spectrum features are difficult to identify in an underwater acoustic complex environment, frequency modulation slope matrixes of different frequencies and different time are extracted through short-time frequency modulation Fourier transform and serve as line spectrum identifiable features, and a Single-link hierarchical clustering method is utilized to process different-frequency identifiable feature sets. Finally, a line spectrum set of different targets is obtained, and multi-target line spectrum feature resolution is realized. A data analysis result shows that the method can effectively distinguish line spectrum features from different targets, lays a foundation for subsequent extraction of target motion features and realization of multi-target positioning, and has good engineering practical value.

The invention belongs to the technical field of power transmission line detection, discloses a power transmission line icing thickness prediction method, system and device based on a digital-analog dual-drive model and a medium, and aims at solving the problem that an existing method is low in prediction precision. The method comprises the following steps: acquiring historical meteorological data of the location of a target line and corresponding power system data, performing missing value supplementation, and performing feature correlation analysis by adopting PCC to screen features so as to construct an input feature set; building a base learning layer, deploying an LSTM model in a meta learning layer, and taking the output of the base learning layer as the input of the meta learning layer to obtain a multi-model fused integrated learning model; inputting the input feature set into an integrated learning model to generate a training prediction result, and evaluating the training prediction result based on a physical rule to obtain a digital-analog dual-drive prediction model; and predicting the target line based on a digital-analog dual-drive prediction model, and evaluating a predicted value by using an error index and a fitting index so as to complete prediction of the icing thickness of the target line.

The invention provides a train safe operation control method and device, and the method comprises the steps: generating obstacle information under the condition that an intelligent train eagle eye (ITE) system of a train recognizes that an obstacle exists on a target line, and transmitting the obstacle information to a vehicle-mounted controller VOBC; the train is braked based on the VOBC according to the alarm information, and the obstacle position information is forwarded to an automatic train monitoring system ATS through an automatic train protection system ATP; the distance between the train and the obstacle is calculated based on the ATS according to the obstacle position information, and obstacle alarm position information and an alarm identifier are generated on a display interface of the target workstation according to the distance; the target workstation comprises at least one of an ATS scheduling workstation and a maintenance workstation. According to the method, real-time monitoring of the obstacles is achieved, the intelligent level of the automatic driving vehicle can be improved, and the operation efficiency and safety of the train are improved.

The invention relates to a heavy haul railway track quality detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: dividing a target line into unit sections corresponding to each line type according to line type distribution information of the target line; obtaining unit quality evaluation parameters of each unit section according to the track detection data of each unit section at the plurality of detection time points; obtaining a unit quality detection result of each unit section according to the unit quality evaluation parameter of each unit section and the type quality control parameter corresponding to the line type of the unit section; and obtaining a track quality detection result of the target line according to the unit quality detection result of each unit section. By adopting the method, targeted detection of the heavy haul railway track quality can be realized, and the track quality detection precision and the track maintenance work efficiency are improved.

The invention relates to the technical field of tunnel monitoring, and particularly discloses a tunnel monitoring method based on machine vision, which comprises the following steps: S1, dividing sub-periods, acquiring a monitoring image at the starting point of the sub-periods, identifying a target vehicle in the monitoring image, and determining a minimum enclosing rectangle in the monitoring image; calculating a vehicle type score based on the minimum enclosing rectangle, calculating an exhaust emission index, determining a total emission amount in the sub-time period, and if the total emission amount is smaller than a total emission amount threshold value, obtaining a new total emission amount in the next sub-time period; if the total discharge amount is greater than or equal to the total discharge amount threshold value, taking the starting point of the corresponding sub-time period as an adjustment time point; s3, calculating a theoretical distance, determining a target position, and determining a target line; and when the sub-tunnel belongs to any tunnel part, adding 1 to the selection number of the sub-tunnel, determining the total selection number of the single sub-tunnel, and controlling the ventilation system based on the total selection number. The energy consumption of the ventilation system in the tunnel can be reduced.

The invention provides a power transmission line defect identification method and system, and the method comprises the steps: receiving a target power transmission line inputted by a user in real time when a preset time is reached, and collecting a detection video corresponding to the target power transmission line in real time through a preset unmanned plane based on a preset rule; performing real-time analysis processing on the detection video to extract a feature region and a line size corresponding to the target power transmission line in real time; and creating a target line three-dimensional model corresponding to the target power transmission line in real time according to the feature region and the line size through a preset three-dimensional program, and performing full scanning on the target line three-dimensional model to judge whether the surface of the target power transmission line has defects or not in real time. According to the method, the process of manual operation can be omitted, meanwhile, whether defects exist or not can be objectively and accurately judged, and the recognition efficiency is greatly improved correspondingly.

The invention relates to the technical field of alignment control, in particular to a cloth turning seam allowance alignment control system based on machine vision, which comprises a gray wave crest identification module, a seam allowance edge identification module, an image segment alignment judgment module, a tension direction correction module and an alignment track adjustment module. According to the method, the recognition capability of image processing on edge distribution is enhanced by constructing a gray wave crest track, analyzing the distance stability and slope change between wave crests and accurately extracting a pattern rhythm region, structure recognition is carried out by utilizing the direction features and coordinate positions of gray abrupt change points, the dependence on a static feature template is avoided, and the accuracy of structure recognition is improved. According to the method, the adaptability of edge recognition is improved, alignment judgment is carried out between image segments through the direction consistency and coordinate trend relation of abrupt change points, dynamic recognition of inter-segment continuity is enhanced, the change of the included angle between the tension direction and the target connecting line drives selection of standby points and updating of target points, and the direction adaptability of the target points under tension disturbance is improved.

The invention provides a salt cavern type gas storage geologic body spatial form fine description method. The method comprises the steps that an observation system is defined, field static correction is carried out, and series fidelity denoising is carried out; performing well control spherical diffusion compensation on the seismic data through a Tar factor and a VSP speed obtained by the VSP data, and performing Q compensation on the seismic data in the aspects of phase and amplitude by using a VSP-Q factor; earth surface consistency amplitude compensation is carried out, and well control verification is carried out on deconvolution of the three-dimensional seismic data by using a VSP-Q factor and corridor superposition data; velocity analysis, earth surface consistency residual static correction, pre-stack migration velocity field establishment and anisotropy analysis are carried out in sequence; target line migration, anisotropic pre-stack time migration, pre-stack time migration and well constraint post-stack frequency expansion processing are carried out in sequence; sequentially performing low-frequency compensation and result output; and carrying out complex structure geologic body identification. According to the method, the salt cavity with poor continuity, strong anisotropy and disordered characteristic reflection can be accurately depicted.

The invention discloses an unmanned aerial vehicle line-imitating flight waypoint searching method, an unmanned aerial vehicle line-imitating flight route planning method and an unmanned aerial vehicle line-imitating flight route planning system, and the method comprises the steps: firstly, obtaining a center line discrete point sequence of an inspection road, and setting a waypoint spacing of a line-imitating flight route; and then determining a direction vector of the broken line segment to be searched according to the center line discrete point sequence. And then, according to the current waypoint coordinate, the direction vector and the waypoint spacing, determining the coordinate of a candidate waypoint, and verifying whether the candidate waypoint is on the broken line segment to be searched or not. If yes, the candidate waypoints are included in the waypoint set, and the candidate waypoints serve as the current waypoint to continue to search for the next waypoint. And if not, calculating the remaining distance which needs to be moved subsequently after moving to the terminal point of the broken line segment to be searched, and searching out the target line segment. And finally, searching the waypoints meeting the waypoint spacing by combining the direction vector and the starting point coordinate of the target line segment and the residual distance. Therefore, the line-imitating routing inspection waypoints are automatically generated, and the line-imitating flight routing inspection route planning efficiency of the unmanned aerial vehicle on the long linear road is improved.

The invention relates to the technical field of power system fault detection and first-aid repair, and discloses an intelligent power transmission line first-aid repair evaluation system and a control method.The intelligent power transmission line first-aid repair evaluation method comprises the steps that firstly, line operation parameters of a target line are obtained in real time, and the line operation parameters comprise line operation data, historical fault data and environmental factor data; the method comprises the steps of acquiring line operation parameters, performing preprocessing and fusion operation on the acquired line operation parameters, providing a high-reliability input reference for subsequent fault diagnosis and first-aid repair decision by integrating the multi-source heterogeneous line operation parameters, improving the sufficiency of diagnosis and decision basis, and then based on the result of preprocessing and fusion operation, determining the fault diagnosis and first-aid repair decision. According to the method, a preset fault decision tree model is adopted for fault diagnosis, finally, an initial first-aid repair scheme is generated according to a fault diagnosis result, and the initial first-aid repair scheme is optimized by utilizing a preset game theory model to generate a final first-aid repair scheme, so that quick generation of the fault diagnosis and first-aid repair scheme is realized by utilizing the fault decision tree model and the game theory model; and the first-aid repair efficiency is obviously improved.

The invention discloses an FANUC industrial robot operation track program text modification method and device, and belongs to the technical field of industrial robots. The modification method comprises the following steps: displaying a to-be-modified robot operation program old text in a first text display box; modifying the modified text target line of the to-be-modified old text of the robot operation program through the basic control, changing old operation content in the modified text target line of the to-be-modified old text of the robot operation program into new operation content, and obtaining a new text of the robot operation program; displaying the obtained new text of the robot operation program in a second text display box, and checking the modified operation content in the obtained new text of the robot operation program; and taking the new text of the robot operation program passing the checking of the modified operation content as a new robot operation program. According to the modification method, the operation track program of the FANUC industrial robot can be quickly modified, and the program modification efficiency is improved.

The invention discloses a positioning system and method applied to an optical cable fault position, relates to the technical field of optical cable fault positioning, and solves the problems that a positioning result has relatively large deviation in a complex environment and the positioning accuracy is high due to the fact that an existing OTDR (Optical Time Domain Reflectometer) fault positioning method cannot directly and accurately convert a test core length into a specific geographic space position. And the requirement of high-precision geographic space positioning is difficult to meet. The method comprises the following steps: acquiring initial data of an optical fiber link, and establishing a spatial model of the optical fiber link based on the initial data; the method comprises the following steps: segmenting a light link to obtain a plurality of optical cable segments; obtaining a logic distance of a fault point in the optical fiber link based on the OTDR; correcting the length of each optical cable line segment to obtain a target line segment length of each optical cable line segment; and calculating the coordinates of the fault point in the optical fiber link based on the target line segment length of each optical cable line segment and the logic distance of the fault point in the optical fiber link. The technical problem is solved.

The invention discloses a 10kV overhead line adaptive evaluation method and system for non-power-cut operation, and the method comprises the following steps: obtaining the field data of a target line, and constructing the field data into a multi-dimensional evaluation feature vector according to a preset evaluation dimension system for non-power-cut operation; inputting the multi-dimensional evaluation feature vector into a non-power-cut operation adaptability evaluation model to obtain a comprehensive evaluation score and an optimization suggestion of the target line; outputting the comprehensive evaluation score and the optimization suggestion; wherein the non-power-cut operation adaptability evaluation model is constructed by the following steps: training to obtain an initial machine learning model; simulating a preset non-power-cut operation task flow in the digital twinborn body; and performing incremental training and parameter optimization on the initial machine learning model by using operation effect data fed back after actual operation of the simulation data vector. The problems of single evaluation dimension, model stiffness and the like in the prior art can be solved.

The embodiment of the invention provides a flow control method, a main control board, a line card board, electronic equipment and a medium, and relates to the technical field of communication, the method is applied to a processor in the main control board of distributed equipment, and the method comprises the following steps: determining a first protocol message with packet loss in a previous detection period; determining the most target protocol messages in the first protocol messages carrying the same source line card board identifier and protocol type identifier, and sending a first notification carrying the identifier of the target protocol type to a forwarding chip of a target line card board, the forwarding chip is indicated to reduce the rate of sending the protocol message of the target protocol type to a processor in the main control board. By applying the scheme provided by the embodiment of the invention, the probability of packet loss of the protocol message on the packet receiving channel caused by a large number of burst messages on the same packet receiving channel of the main control board can be reduced.

The embodiment of the invention discloses a coded data processing method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing.The coded data processing method includes the steps that target line data of a to-be-transcoded conversion file is obtained, and the conversion file comprises coded data in a Chinese character internal code extension standard GBK format; splitting the target row data through separators to obtain a plurality of split fields; independently carrying out decoding processing on the plurality of split fields to obtain a plurality of fields after decoding processing; and connecting the plurality of fields by using the separators to obtain first coded data, performing transcoding processing on the first coded data according to a preset output coding format based on the first coded data, and outputting the transcoded first coded data, so that the processing efficiency of abnormal coded data can be improved.

The invention discloses a line facility machine account data processing method and device, and the method comprises the steps: obtaining a line facility image collected by a linear array camera in a target line; inputting the line facility image into a line facility image target detection model, and outputting a target detection area of the line facility; the line facility image target detection model is established based on an optimized YOLOv5 network structure; in the target detection area, extracting text information of the line facility image by adopting an OCR technology, and determining machine account data of the line facility according to the text information; and uniformly storing the machine account data in a pre-constructed database. The accuracy of machine account data can be improved, and data support is provided for real-time management and mileage correction of line facilities.

The invention provides a power transmission line deicing equipment clamping control method and device, and relates to the technical field of power system operation and maintenance, and the method comprises the steps: receiving initial drop point position information, and obtaining a clamping starting instruction based on the initial drop point position information; synchronously acquiring image data and attitude data of a target line according to the clamping starting instruction, processing the image data, and extracting morphological characteristics and icing area characteristics of the surface of the line; classifying and identifying the surface state of the circuit according to a preset rule, and judging whether a clamping condition is met or not according to an identification result; if it is judged that the clamping condition is met, the spatial relation between the line surface morphology and the icing area is analyzed by fusing the image data and the attitude data, and selection of clamping points is optimized by calculating the polygon overlapping percentage between the clamping target area and the expected clamping position. According to the invention, the deicing equipment and the power transmission line can be accurately and stably clamped.

The invention relates to a power transmission channel optimization method and device, equipment and a medium, and belongs to the technical field of power transmission engineering, and the method comprises the steps: obtaining multi-source data of a power transmission channel region; based on the multi-source data, respectively generating a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the power transmission channel area; obtaining a new line path request of the power transmission channel area, and generating a target line path of the power transmission channel area based on the new line path request, the three-dimensional model, the panoramic inclined image map, the digital elevation model and the digital surface model; and determining section information along the target line path based on the target line path, determining a plurality of pole and tower arrangement positions based on the section information and a preset pole and tower arrangement rule, and generating a power transmission channel optimization scheme based on the target line path and the plurality of pole and tower arrangement positions of the target line path. According to the invention, efficient and reliable power transmission channel planning design is realized, and the design efficiency and precision are improved.