421 results about "Railway line" patented technology

A cable trough for installing cables alongside a railway line or other right of way is described. The cable trough is constructed using longitudinally oriented reinforcing fibers coated with polymeric resin that generally aligns the reinforcing fibers with the length of the cable trough. One or more connector clips may be used to secure respective portions of the cable trough to one another. The cable trough is provided with a cover that may be removably secured to an elongate channel to protect the cables housed within the cable trough. Elbows, corners, tees, and other connectors may be provided to run the cable trough in any desired direction. A method of installing cables in a cable trough is also described.

The invention provides a railway anomaly monitoring method and system based on unmanned aerial vehicle routing inspection, and relates to the field of data processing, the method comprises the following steps: obtaining railway routing inspection data collected by an unmanned aerial vehicle, extracting a monitoring instruction in the railway routing inspection data, carrying out parameter analysis on the monitoring instruction, and obtaining an anomaly monitoring parameter set corresponding to the monitoring instruction; performing spatio-temporal feature extraction processing on the plurality of spatio-temporal frame sequences, generating a spatial feature vector and a time feature vector of each spatio-temporal frame sequence, screening out at least one abnormal region from the plurality of spatio-temporal frame sequences based on a dynamic matching relationship between the abnormal monitoring parameter set and the spatial feature vector and the time feature vector, and performing abnormal region extraction processing on the abnormal region. And calling an anomaly identification model to perform conjoint analysis on the spatial-temporal characteristics of the abnormal region, generating a railway anomaly monitoring result, and mapping the railway anomaly monitoring result to a physical coordinate system of the railway line to generate an anomaly positioning report. According to the invention, the accuracy and intelligent decision of railway inspection anomaly detection can be improved.

The invention provides a multi-source data fusion-based high-wind disaster risk assessment method along a high-speed rail, and the method comprises the steps: obtaining the meteorological temperature distribution, the wind speed peak record, the rainfall cumulative value and the wind direction angle change of a meteorological station, carrying out the format conversion and time-space alignment of multi-source data through a preset standardization protocol, and obtaining a multi-source data format; generating a first data set with a unified spatial-temporal scale; acquiring a corresponding wind speed peak record, wind direction angle change and disaster loss degree through a similar case set in the third data set, calculating a first risk probability under the current condition by adopting a weighted average method based on historical cases, and generating a first risk value; updating a line state factor in the fourth data set through a fused probability value in a risk assessment result, adjusting a weight parameter of a wind direction matching coefficient by adopting an online learning method, and generating an optimized fifth data set; according to the continuous dynamic risk assessment sequence, the operation strategy of the high-speed rail line is adjusted in real time, and line safety is ensured.

The invention discloses an interval occupation logic checking method, a train control system, a storage medium and electronic equipment, which are used for automatically blocking a standard railway line, and the method comprises the following steps: acquiring train position information and a train type; acquiring track circuit data, and judging a track section state; and generating a corresponding signal permission for the train based on the train position information, the train type and the track section state, and judging the logic state of the corresponding block partition based on the signal permission. The method has the advantages that the normal train, the fault train and the non-moving block train can be ensured to safely run on the automatic block system railway line at the same time, the normal train can still adopt the moving block system and does not need to be degraded into the automatic block system, the running density of the normal train is improved, and the running efficiency is improved. Therefore, the traffic capacity of the automatic block type railway line is improved.

The invention relates to the technical field of railway line selection design, in particular to a railway line searching method, medium and equipment in a wide and dense obstacle environment. The method comprises the following steps: acquiring obstacles passed by a line and determining preferentially treated obstacles; and inserting an optimal line intersection point around the obstacle, adjusting the line scheme and repeating the point insertion operation until the spatial relationship requirement of the line and the obstacle is met, and finally generating a global optimal line conforming to the constraint. According to the method, through a priority obstacle handling strategy and a dynamic point insertion mechanism, key obstacles are intelligently recognized, intersection points are preferentially generated around the obstacles, the problem of circuit bypassing redundancy or repeated adjustment caused by an improper obstacle handling sequence in a traditional method is avoided, and the efficiency and quality of circuit scheme design in a complex environment are remarkably improved. Through point-by-point insertion type iterative search, it is ensured that each adjustment approaches to the global optimum direction, and compared with a traditional trial and error method, the calculation time consumption is reduced, and meanwhile local optimum is avoided.

The invention discloses a dust suppression method and system for railway track dry bulk cargo loading. The method comprises the steps that if it is detected that loading operation is started on an iron road trunk line, an area to be subjected to dust suppression is determined based on loading operation field data; acquiring environment information corresponding to the region to be subjected to dust suppression, wherein the environment information comprises wind direction information; determining a to-be-loaded article based on the loading field operation data, and determining the moisture content corresponding to the to-be-loaded article; and a control strategy corresponding to the spraying system is determined based on the wind direction information, the water content and the area corresponding to the area to be subjected to dust suppression, and operation parameters corresponding to the spraying system are adjusted based on the control strategy so as to perform dust suppression treatment on the loading operation process. According to the invention, accurate treatment of railway track loading flying dust pollution is realized, limitation of traditional fixed dust suppression is broken through, and pollution prevention and control efficiency and resource utilization efficiency are remarkably improved.

The invention discloses an MABR-based railway domestic sewage treatment system and a use method thereof, and relates to the technical field of sewage treatment, the MABR-based railway domestic sewage treatment system mainly comprises a water inlet unit, an anaerobic zone, an anoxic MABR zone, a transition MABR zone, an aerobic MABR filler zone, a sedimentation tank, a filter unit and a clear water output unit which are connected in sequence, and also comprises a sludge external reflux system and a gas supply system; according to the present invention, the respective advantages of the MABR technology and the water treatment filler are fully utilized, the simultaneous nitrification and denitrification are performed to efficiently remove the pollutants, the denitrification is well achieved by using the transition MABR region, and the pollutants are further removed by using the filtration unit, such that the domestic sewage treatment problem of the staff along the railway line is effectively solved, and the high efficiency, the stability and the sustainability of the sewage treatment are achieved. The method has the advantages of high pollutant removal efficiency, no internal reflux of mixed liquid, reduction of sludge yield, energy conservation, carbon reduction, easiness in operation and the like.

The invention discloses a ballastless track plane linear reconstruction method and system under the condition of large foundation deformation, and the method comprises the steps: judging whether a railway line is staggered on a long straight line or a curve, and determining a linear reconstruction mode; determining the intersection position of the railway line and the fault zone, establishing a rectangular plane coordinate system, and collecting basic data of the line; fitting and reconstructing straight line edges on two sides of the line damage center and a clamping straight line between the two straight line edges, and determining a slope range and a change step length of the clamping straight line; determining an optimization variable, a constraint condition, a target function and a fitness function, and searching an optimal plane line shape reconstruction scheme under each linear slope value by adopting a genetic algorithm and a local search algorithm; and summarizing and comparing the fitness values of the optimal plane line shape reconstruction schemes under each straight line clamping slope value, and selecting the scheme with the maximum fitness value. According to the method, the damage form of the large deformation of the railway foundation to the plane line shape of the ballastless track is analyzed, and reference is provided for post-disaster repair of the ballastless track.

The invention discloses a maintenance and operation fault dynamic early warning system based on a high-speed railway communication network, and relates to the technical field of high-speed railway communication networks. The invention aims to solve the problems of inaccurate fault early warning, slow response speed and the like in the prior art. The system realizes real-time monitoring and intelligent analysis of a railway line through three-level elastic section classification, four layers of intelligent processing modules and a cross-domain cooperation module. The monitoring intensity is dynamically defined according to the annual average failure rate in the third-level elastic section classification; the four-layer intelligent processing module has the functions of multi-module sensing, edge calculation, digital twinning, decision control and the like; and the cross-domain collaboration module ensures the overall efficiency of the system. According to the invention, the accuracy and timeliness of fault early warning are improved, the maintenance cost is reduced, and a powerful guarantee is provided for safe operation of the high-speed railway. In the future, the system is continuously optimized, more application scenes are explored, and the system performance and the user experience are improved.

The invention discloses a thunder-vision fusion multi-sensor collaborative sensing system along a railway and an installation and calibration method, and belongs to the technical field of intelligent traffic and environment sensing. Aiming at the problems of low target detection precision, poor multi-source data fusion timeliness, dependence on manpower on sensor installation and calibration and the like in a complex scene along a railway, the system provides an innovative architecture of'layered sensing-dynamic fusion-autonomous calibration '. The multi-modal sensor array of a laser radar, a millimeter-wave radar, a visible light camera and a thermal infrared imager is deployed; autonomous optimization of sensor pose parameters is realized by using track geometric constraint and a deep learning model; an edge computing node and a cloud collaboration platform are integrated, and real-time target tracking, intrusion early warning and equipment state diagnosis are supported. Experiments show that the target detection accuracy rate of the system is greater than or equal to 98.5%, the false alarm rate is less than or equal to 0.3% and the self-calibration error of sensor installation parameters is less than 0.05 degree in the scenes of rain and fog, night, high-speed movement and the like, which are improved by more than 40% compared with the traditional scheme.

The invention discloses a shared lock catch steel pipe pile cofferdam close to a bridge bearing platform under a high-speed railway line and a construction method, and the shared lock catch steel pipe pile cofferdam close to the bridge bearing platform under the high-speed railway line comprises a first lock catch steel pipe pile, a second lock catch steel pipe pile, a third lock catch steel pipe pile and a fourth lock catch steel pipe pile, the third lock catch steel pipe pile and the fourth lock catch steel pipe pile are connected with the first lock catch steel pipe pile and the second lock catch steel pipe pile. The lock catch steel pipe pile cofferdam is adopted to replace a double-wall steel cofferdam, the problems that the clear distance close to a bridge bearing platform is too small, and no space exists for independently arranging an overwater steel cofferdam are solved, and under the condition that two projects are both control projects and need to be constructed synchronously, a row of shared lock catch steel pipe piles are inserted in the middle to be used in the construction stage of the two bridge bearing platforms at the same time; an independent and separated cofferdam stress system is formed, the condition of synchronous construction of the two newly-built bridges is guaranteed, the using number of the steel pipe pile cofferdams is reduced, and material consumption is reduced.

The invention relates to a geoid-like model processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: dividing an area along a railway into a plurality of elevation reference areas according to terrain information and railway information of the area along the railway; according to the gravity data of each elevation reference region, obtaining elevation abnormal data of each elevation reference region; based on the elevation abnormal data of each elevation reference region, performing whole-line modeling processing on each elevation reference region to obtain a whole-line quasi-geoid model of the region along the railway; carrying out zoning modeling processing or zoning modeling processing on each elevation reference region on the basis of a full-line geoid-like model to obtain a target geoid-like model of each elevation reference region; the model precision of the target geoid-like model is higher than that of the full-line geoid-like model. By adopting the method, the model precision of the target geoid model of the region along the railway can be improved.

The invention provides an AI-based unmanned aerial vehicle railway inspection system and platform and an unmanned aerial vehicle thereof. The system comprises the unmanned aerial vehicle, a nest and an intelligent inspection platform, the unmanned aerial vehicle consists of an electric helicopter and a photoelectric pod and is used for completing an automatic inspection flight task of a railway line; the nest is used for parking and storing the unmanned aerial vehicle, providing a take-off and landing platform for the flight of the unmanned aerial vehicle and meanwhile supporting the assignment of take-off and landing tasks in different places; the intelligent inspection platform is in communication connection with the unmanned aerial vehicle, comprises a flight management module, a flight record management module, an inspection result AI recognition module, a defect auditing module, a defect management module, a statistical analysis module, a basic data management module and a system management module, and is used for managing flight tasks, inspection result AI recognition and related data of the unmanned aerial vehicle. The railway inspection defect identification efficiency and accuracy are improved through the AI technology, the intelligent and efficient railway inspection is realized in combination with a perfect management function, and the railway operation safety is guaranteed.

The invention discloses a railway line selection effect evaluation method and system based on artificial intelligence, and belongs to the technical field of railway intelligent line selection, and the method comprises the steps of data preparation, toughness feature extraction, climate toughness scoring and multi-dimensional effect evaluation. According to the method, line climate toughness feature extraction based on multi-source space-time toughness is adopted, line structure features, environmental conditions and climate disturbance are comprehensively analyzed, and the stability and adaptability of different line sections under different space-time scales are quantified, so that the overall toughness level of the line can be reflected more accurately; climate toughness scoring combining multiple disaster risks and dynamic correction is adopted, multiple disaster types and interaction influences thereof can be comprehensively considered in the line selection process, key fragile sections and potential risk points are identified through dynamic correction, and therefore a scientific basis is provided for line scheme comparison and optimization.

The invention discloses a railway construction simulation model generation method based on full-line design parameters, and relates to the technical field of model simulation. Line track geometric parameters, geological exploration data, bridge and tunnel structure parameters, construction mechanical performance indexes and environment constraint conditions are collected, a multi-source heterogeneous database is constructed, and a simulation model is generated; the method comprises the following steps: constructing full-line design parameters after space coordinate unification and data cleaning, establishing a space-time dependency relationship of construction elements based on a railway line segmentation topological structure, generating an initial construction logic network, and optimizing the construction logic network according to construction efficiency, a resource scheduling rule and a dynamic constraint condition, so as to obtain a construction result; parallel construction events in the railway construction process are defined, full-line design parameters and a construction logic network are mapped into a three-dimensional visual simulation model of railway construction through a parametric modeling engine, real-time railway construction data are introduced, the construction delay probability of railway construction is predicted, and the construction delay probability of railway construction is calculated. And determining whether to carry out construction process adjustment and construction resource redistribution.

The invention discloses a rapid reinforcing device for a steel pipe pile close to a railway line slope, which comprises a vertical transmission rail mounted on a working vehicle, a walking mechanism capable of walking along the vertical direction is mounted on the vertical transmission rail, and the walking mechanism is connected with an assembly seat through a transverse telescopic arm; a slurry distribution mechanism, a drilling position adjusting mechanism and a drilling transmission mechanism are sequentially arranged on the assembling base downwards in the vertical direction, a driving mechanism is installed between the assembling base and the drilling transmission mechanism, the drilling transmission mechanism is provided with a plurality of output units, a clamping ring cutting mechanism is installed on each output unit, and the upper end of a steel pipe pile is clamped in the clamping ring cutting mechanism. According to the method, the soil body around the side slope close to the railway line can be integrally reinforced, the overall stability of the side slope is effectively improved, the preparation conditions of a construction site can be greatly reduced, the occupied road surface is reduced, the influence of construction on the surrounding environment is reduced, and the reinforcing efficiency is improved. The method is suitable for reinforcing the side slope of the road with the gravel-cobble soil filled roadbed.

The invention is suitable for the field of railway foundation management, and provides a railway foundation settlement management early warning method and system, and the method comprises the steps: installing a vehicle-mounted displacement sensor at a target position of a driving vehicle; continuously distributed optical fiber sensing monitor groups and temperature sensors are deployed in the railway line; establishing a space-time synchronous calibration model of the vehicle-mounted displacement sensor and the optical fiber sensing network, performing fusion processing on vehicle body longitudinal displacement data acquired in real time and optical fiber strain data of a corresponding mileage segment, and calculating the longitudinal change degree of a foundation in a monitoring interval; setting a multi-level threshold triggering and rechecking strategy; multi-source data are fused, and a stepped intelligent early warning notification is generated and sent based on a multi-level threshold triggering and rechecking strategy; according to the method, a train-line-foundation three-in-one intelligent monitoring system is constructed, and the temporal-spatial resolution and accuracy of railway foundation settlement monitoring are remarkably improved. A multi-level threshold and recheck mechanism reduces the false alarm and missing alarm rate, and stepped early warning realizes risk hierarchical management and control.

The invention relates to a subway track line intelligent optimization method based on a hierarchical archiving differential evolution algorithm. The method comprises the following steps: obtaining an actual topographic change curve through topographic relief characteristics of a railway line design plane so as to construct a standardized coordinate axis model; obtaining a terrain height change sequence by discretizing the terrain height change of the coordinate axis model; determining technical limitation conditions of the rail according to a railway line design specification; selecting a construction type according to a construction rule and terrain information; calculating to obtain the total construction cost; according to the terrain height change sequence and the technical limitation condition of the rail, establishing a Ground object and preprocessing the Ground object; and an HAPI-DE algorithm model is established, and the Ground object is sent into the algorithm model to be evolved so as to obtain an optimal solution railway route and the lowest cost. According to the method, the optimal railway longitudinal section design scheme which is lower in cost, more accurate and more reliable can be obtained.

The present invention provides a method for digitizing high-speed railway subgrade cross-section design information based on graphic element features. By converting DWG files into DXF format files, basic graphic element information is extracted, and line and arc information and text information are obtained and processed. The extracted object information that may be included in the railway subgrade cross-section drawings is identified and matched based on railway design specifications and the graphic features of each extracted object. Finally, the extracted object information is stored in a database based on the name, type, attribute, and coordinates of the railway line position. The present invention can parse digital drawings of high-speed railway subgrade cross-section designs and extract the required information. The digitized information can be used to verify the drawing information and calculate the engineering quantities in the drawings. It can also provide basic data for further design.

The invention discloses a production line of a cement prefabricated part for laying a high-speed railway line, and belongs to the technical field of cement prefabricated part production, the production line comprises a fixing frame, and a conveying mechanism for conveying a forming mold is arranged at the bottom of the fixing frame. According to the invention, through the arrangement of the vibration linkage assembly and the mechanical linkage design of the movable sealing plate and the vibration pipe, the synchronous action of opening of the discharge pipe and downward detection of the vibration pipe is realized, when the movable cylinder drives the discharge pipe to open, the vibration pipe automatically goes deep into the mold for vibration, no extra control unit is needed, the automation degree of the production line is obviously improved, and the production efficiency is improved. The change of the moving speed of the hopper directly drives the change of the rotating speed of the transmission gear; the sleeve is rotated to drive the counterweight ball to generate different centrifugal forces, so that the self-adaptive adjustment of the eccentric distance is realized; the amplitude is increased during high-speed pouring to ensure the compactness; the amplitude is reduced during low-speed pouring to avoid excessive disturbance; the finished product quality stability is improved.

The present invention discloses a method and device for classifying magnetic flux leakage signals in rail magnetic flux leakage detection, wherein the method comprises: converting the magnetic flux leakage signal of the detected rail into a magnetic flux leakage electric signal; the magnetic flux leakage signal is obtained by picking up the magnetic field signal of the magnetized rail being detected; extracting multiple time-domain eigenvalues of the magnetic flux leakage electric signal; using a support vector machine classifier to classify the magnetic flux leakage signal corresponding to the magnetic flux leakage electric signal based on the multiple time-domain eigenvalues of the magnetic flux leakage electric signal, thereby obtaining a classification result of the magnetic flux leakage signal; the support vector machine classifier is obtained by training the historical data of the time-domain eigenvalues of the magnetic flux leakage electric signal using a support vector machine. The present invention can improve the accuracy of rail magnetic flux leakage detection, reduce the false alarm rate of rail magnetic flux leakage detection, greatly improve the efficiency of railway inspection and maintenance, and better ensure the safety of railway lines.

The invention discloses a sub-pixel-level displacement monitoring method and monitoring system for a steel rail telescopic regulator. The method comprises the following steps: S1, carrying out multi-modal data acquisition on the steel rail telescopic regulator; s2, carrying out sub-pixel-level edge positioning based on the gradient direction consistency constraint of the target edge; S3, carrying out multispectral cooperative imaging by adopting a self-adaptive weight fusion algorithm; s4, collecting temperature data in real time through a temperature sensor, and eliminating systematic deviation by applying a thermal expansion displacement compensation model; and S5, performing multi-modal data fusion on the data in the S2, the S3 and the S4. By innovatively fusing multispectral imaging, sub-pixel analysis and a physical compensation mechanism, a high-precision steel rail displacement monitoring system is constructed to form anti-interference and high-reliability monitoring output; the safety guarantee capability of the seamless track of the high-speed railway is remarkably improved, the monitoring precision is effectively improved, and the false alarm rate is reduced.

The invention provides a time-space prediction method and device for settlement along a railway. The prediction method comprises the following steps: identifying an unstable target region based on monitoring data obtained by monitoring a railway line; obtaining time sequence settlement data of each monitoring point in the unstable target area, and performing noise reduction processing by using the optimal noise reduction model to obtain the time sequence settlement data of each monitoring point after noise reduction processing; obtaining an adjacent matrix and a degree matrix based on a preset distance threshold and the distance between every two monitoring points in the unstable target area; and based on the time sequence settlement data, the adjacency matrix and the degree matrix of each monitoring point after noise reduction processing, utilizing a GCN-LSTM prediction model, and adopting a rolling prediction method to carry out advanced prediction on the time sequence settlement data of each monitoring point to obtain an advanced prediction set of each monitoring point. According to the method, the time sequence settlement data of the monitoring points are predicted in advance by constructing the GCN-LSTM prediction model with the space-time sequence coupling characteristics, and the method has the advantage of being high in prediction precision.

The embodiment of the invention provides a method and system for surveying and mapping the area of a peripheral area along a railway based on an unmanned aerial vehicle, and belongs to the technical field of area surveying and mapping. The method comprises the following steps: performing coordinate registration processing on laser point cloud data collected by an unmanned aerial vehicle and a railway red line vector diagram to obtain standard point cloud data and a red line reference boundary under a unified coordinate system; based on the standard point cloud data and the red line reference boundary, an edge point set of an actual occupied area outside the red line is extracted, and a closed boundary contour is obtained through fitting; based on the boundary contour obtained through fitting, unified plane projection and subdivision processing is executed, and a two-dimensional measurement grid used for area determination is generated; and based on the two-dimensional measurement grid, accumulating the area of each unit, and summarizing and outputting the total area and corresponding boundary coordinates of the red line external expansion region. According to the scheme, high-precision and full-process area surveying and mapping of the non-standard occupied area along the railway are realized, and the objectivity of boundary judgment and the stability of an area extraction result are improved.

The utility model discloses a fixed-distance cutting device for railway cable processing, which belongs to the technical field of cable cutting and comprises a supporting frame, a supporting table is arranged on the front side of the left side face of the supporting frame, a first sliding groove block is fixedly mounted on the left side face of the supporting frame, and a moving block is slidably connected in the first sliding groove block. A rotating plate is arranged on the front side of the moving block, a limiting plate is connected to the upper portion of the rotating plate, two connecting rods are hinged to the rear portion of the right side of the supporting frame, a first hole groove is formed in the middle of each connecting rod, a second hole groove is formed in the front end of each connecting rod, and second sliding groove blocks are fixedly installed on the upper portion and the lower portion of the front portion of the right side of the supporting frame; and a cutting tool is slidably connected into the second sliding groove block. The fixed-distance cutting device for railway cable processing has the advantages of precise fixed-distance cutting and flexible adaptation to various specifications, the efficiency and precision of railway cable processing are improved, and the fixed-distance cutting device has high practical value in the field of railway cable processing.

This invention discloses a method and system for dust suppression during the loading of dry bulk cargo on railway lines. The method includes: if loading operations are detected to have commenced on the main railway line, determining the area to be suppressed based on on-site loading data; acquiring environmental information corresponding to the area to be suppressed, including wind direction information; determining the items to be loaded based on the on-site loading data, and determining the corresponding moisture content of the items; determining a control strategy for a spray system based on the wind direction information, moisture content, and the area to be suppressed, and adjusting the operating parameters of the spray system based on the control strategy to suppress dust during the loading process. This invention achieves precise control of dust pollution during railway loading, overcoming the limitations of traditional fixed dust suppression methods, and significantly improving pollution prevention efficiency and resource utilization effectiveness.

The utility model relates to the technical field of railway line measurement, in particular to a double-block type ballastless track detection device which comprises a mounting plate and a prism assembly mounted in the middle of the upper plate surface of the mounting plate, clamping assemblies used for clamping sleeper grooves are arranged at two ends of the mounting plate, and the two clamping assemblies are arranged side by side at intervals and are rotationally and symmetrically arranged; the clamping assembly comprises a door frame plate, the door frame plate comprises a cross arm part fixed to the lower plate face of the corresponding end of the installation plate and two vertical supporting parts arranged at the two ends of the cross arm part respectively, and a sliding rod capable of being telescopically positioned in the direction of the cross arm part is installed at the bottom end of one vertical supporting part. A first supporting piece and a second supporting piece which are used for supporting the two side walls of the sleeper groove in an abutting mode are fixed to the outer end of the sliding rod and the outer side of the bottom end of the other vertical supporting part respectively. The detection device can efficiently detect the sleeper in a prism detection mode.

This invention provides a static parameter measurement device for overhead contact lines based on an unmanned aerial vehicle (UAV) platform, belonging to the field of railway overhead contact line inspection technology. It includes a UAV body with a laser measuring device mounted on its top and a telescopic support mounted on its side. The UAV body includes a processor chip, and the laser measuring device is connected to the processor chip. After takeoff, the telescopic support secures the UAV, and the laser measuring device measures the overhead contact line. The measured data is transmitted in real time to the processor chip for processing and analysis, ultimately achieving high-precision measurement of the static parameters of the overhead contact line. By linking the top-mounted laser measuring device with the processor chip, it is possible to conduct inspections and parameter measurements on conventional railway lines outside of designated maintenance windows, achieving high-precision, non-contact distance or terrain measurement, suitable for complex environments, and significantly improving data acquisition efficiency.

The present invention relates to the technical field of railway line selection and design, and specifically to a method, medium and equipment for searching railway lines in an environment with widespread and dense obstacles. The method comprises obtaining the obstacles that the line passes through and determining the obstacles to be handled first; inserting the optimal line intersection around the obstacle, adjusting the line plan and repeating the insertion operation until the spatial relationship requirements between the line and the obstacle are met, and finally generating a global optimal line that meets the constraints. This method uses a priority obstacle handling strategy and a dynamic insertion mechanism to intelligently identify key obstacles and preferentially generate intersections around obstacles, avoiding redundant line detours or repeated adjustments caused by improper obstacle handling order in traditional methods, and significantly improving the efficiency and quality of line plan design in complex environments. Through point-by-point insertion iterative search, it is ensured that each adjustment approaches the global optimal direction, which reduces computational time compared to traditional trial-and-error search and avoids falling into local optimality.

The present invention discloses an automatic ballast-replenishing device, system, and integrated work vehicle for railway lines. The automatic ballast-replenishing device comprises: a ballast bucket mounted on a vehicle frame for accommodating ballast; a spiral conveying mechanism disposed below the ballast bucket, which quantitatively removes the ballast from the bucket by controlling the number of revolutions of the spiral conveying mechanism; and a ballast-dropping bucket disposed below the spiral conveying mechanism, which controls the ballast drop and backfills it into a pick pocket, thereby achieving single-time quantitative ballast backfilling. The present invention addresses the technical problems of existing ballast-replenishing devices, such as their susceptibility to malfunction, poor reliability, limited operability, and inability to achieve quantitative ballast distribution control.