265 results about "Rail line" patented technology

An intelligent fault-in-rail analysis method based on multimodal fusion learning. Ultrasonic analysis data of the rail and high-definition rail surface images taken by line scan cameras are exploited in combination to detect and display internal and surface faults of the rail through different renditions using multimodal data. Rail DEtection TRansformer (R-DETR) technology or a You Only Look Once (YOLO) inspection machine-learning algorithm are employed in a deep convolutional neural network to analyze B-scan and rail surface image data to recognize rail line faults. After obtaining expressive data through data enhancement by computer processing, faults are recognized and pinpointed using the deep convolutional neural network learning algorithm. Analysis results are corrected with expert systems. The disclosed automatic ultrasonic fault-in-rail inspection solves the problem of slow detection and difficulties in tracking faults in everyday routine maintenance while also protecting the safety of rail operation and maintenance personnel.

The invention discloses a convergence method and device for a train safety envelope, and relates to the technical field of railway train driving. According to the scheme, for a train running on a railway line, an RBC can receive a train position report from a vehicle-mounted ATP according to a preset time period through train-ground wireless communication equipment and vehicle-mounted interaction, and after an interlocking device handles a route for the train and the train drives into the route, the RBC sends the train position report to the vehicle-mounted ATP, and the RBC receives the train position report from the vehicle-mounted ATP according to the preset time period. According to the data information in the train position report fed back at the moment, the last relevant transponder group of the train path can be determined, so that the train envelope is calculated according to the train position report and the rail section position determined by the last relevant transponder group, and the train path is determined. The train envelope on the railway line correspondingly occupies a certain number of track sections, so that the track section which is currently in an unlocking state is determined from the track sections according to section unlocking state information fed back by interlocking equipment, and the track section is used for converging the train envelope.

The invention discloses an operation optimization method, system and equipment for cooperative carbon reduction of an intelligent rail line network, and relates to the technical field of energy-saving scheduling and low-carbon operation of urban public transport. A refined section-level energy consumption and carbon emission quantitative model is constructed based on dynamic characteristics of intelligent rail vehicles and carbon emission factors of a power grid; a deep learning network is used for fusing multi-source data to carry out cross-line short-time passenger flow prediction, real-time passenger flow demands, energy consumption and carbon emission indexes and intersection signal phase time window constraints are uniformly incorporated into a multi-target collaborative optimization framework, and solving is carried out through mixed integer linear programming in a rolling vision field. According to the method, combined optimization and dynamic closed-loop control of departure intervals, section operation speeds and road right strategies are realized, so that the total operation energy consumption and carbon emission of the intelligent rail line network are remarkably reduced on the premise of ensuring passenger flow transportation requirements and service quality, and the line network level energy-saving and carbon-reducing operation targets are achieved.

The invention discloses an urban rail vehicle simulation driving training method and system based on scene simulation, and belongs to the technical field of driving simulation, and the method specifically comprises the steps: collecting rail line parameters, weather data, passenger flow density, vehicle equipment state and driving data in real time, carrying out the preprocessing, constructing a dynamic personalized simulation scene, and simulating driving operation. According to operation of a driver and a preset simulation scene, micro features of eye-brow areas of the driver are recognized, the psychological stress of the driver is analyzed in combination with historical data, the simulation scene is dynamically adjusted according to a psychological stress analysis result, the performance of the driver in the training is scored according to a preset evaluation standard, and a detailed training report is generated. According to the method, pressure analysis is carried out on the eyebrow area, pressure evaluation is carried out in combination with the physiological dimension, the pressure of the driver in a simulation scene can be judged in real time, different simulation scenes are provided for different drivers, and the training effect is greatly improved.

The invention discloses a method and a system for predicting the propagation direction of a seismic wave field excited by a high-speed rail seismic source. The method comprises the following steps: simplifying the high-speed rail seismic source into vertical downward impact force of wheels on the ground; taking the Ricker wavelet as a deformation function of force, summing all wheels of the high-speed rail train to obtain a high-speed rail sub-seismic source function, and performing Fourier transform to obtain an amplitude spectrum; the method comprises the following steps: modeling uniformly arranged sleepers or piers of a high-speed rail line into a uniform linear array, exciting seismic waves at each array element in the uniform linear array, and summing seismic wave signals of each array element at a far-field receiving point to obtain an array factor; a radiation factor formula of the P wave and the S wave of the seismic wave field of the high-speed rail seismic source is obtained by combining the radiation pattern factors of the seismic P wave and the S wave excited by the single-point concentrated force; drawing a theoretical interference directional diagram of seismic waves; and establishing a model for simulation, comparing a theoretically predicted interference pattern with a simulation data wave field snapshot, and keeping the predicted direction consistent with the simulated wave field direction, thereby verifying the rationality and correctness of the proposed method.

The invention relates to a railway line rail fixing structure device, and relates to the technical field of railway track fixing, and the railway line rail fixing structure device comprises a fixing seat used for supporting a steel rail; the two embedded iron bases are located on the two sides of the fixing base correspondingly; the limiting device comprises two fixing assemblies, a buffering assembly and an adjusting assembly, and the two fixing assemblies are symmetrically arranged on the two sides of the steel rail and used for fixing the steel rail and the fixing base; the two buffering assemblies are symmetrically arranged on the two sides of the steel rail and used for buffering and damping vibration generated by acting force on the steel rail when a train passes through the steel rail. The adjusting assembly is arranged between the two buffering assemblies and used for adjusting the distance between the two buffering assemblies. The rail fixing structure has the effects that the mounting process of the rail fixing structure is simplified, the deformation resistance of the rail fixing structure is improved, and the risk of deformation or displacement of the steel rail due to external force is reduced.

The invention discloses a virtual reality interactive simulation system based on high-speed rail line maintenance, and belongs to the technical field of high-speed rail line maintenance simulation. The system comprises a virtual scene construction unit, an operation action capture unit, a rule verification unit, a difference calculation unit, an abnormity positioning unit and a comprehensive risk prompting unit. The virtual scene construction unit generates a standardized virtual scene model by using high-speed rail line maintenance manual data and real-time equipment state information; the operation motion capture unit captures a user three-dimensional space coordinate sequence and outputs motion track data; the rule verification unit compares the action track data with a preset maintenance rule base and outputs an operation compliance judgment result; the difference calculation unit calculates an operation deviation measure; an abnormal positioning unit positions an abnormal operation physical position; and the comprehensive risk prompting unit generates a maintenance risk grade identifier. The system provides a simulation environment for maintenance personnel, and carries out real-time monitoring and feedback operation.

The invention relates to the technical field of railway line planning, in particular to an improved SAC railway line planning method based on course learning, and the method comprises the steps: modeling a three-dimensional line selection environment; constructing an improved SAC decision model, and designing a 100-dimensional state space including topographic features, forbidden zone positions and unfavorable geological risks; constructing a reward function fusing engineering cost, terrain fitness and invalid action penalty; curriculum learning staged training is carried out; and generating and optimizing a line scheme. According to the improved SAC railway line planning method based on course learning, a continuous action space decision framework based on the SAC algorithm can effectively solve the high-dimensional continuous action optimization problem of railway line selection. By designing a multi-dimensional fusion state space, a continuous action space based on a proportionality coefficient and a reward function based on target guidance, the adaptability of the intelligent line selection model to topographic features is remarkably improved.

Provided are a boarding apparatus and a boarding apparatus control method. The boarding apparatus comprises a control module (10), a motion actuator (11), a boarding step (12), and an obstacle detection sensor (13). Controlling the movement of the boarding step by means of the motion actuator solves the problem of the boarding apparatus being restricted by infrastructure under different rail lines, thereby making the boarding apparatus more flexible and convenient; in addition, obstacle detection is performed by means of the obstacle detection sensor during the movement of the boarding step, and when an obstacle has been detected, the obstacle detection sensor can feed back a detection signal to the control module, which in turn controls the motion actuator to adjust the position of the boarding step, so as to prevent collisions and squeezing between the boarding apparatus and the obstacle, thereby enhancing the safety of the boarding apparatus.

The invention provides a multi-algorithm cooperative positioning method for a Beidou single-mode terminal of a railway locomotive, which belongs to the technical field of railway communication and positioning, and comprises the following steps: firstly, receiving a positioning signal flow which is sent by a Beidou satellite and contains a propagation path identifier, and carrying out shunt processing on a satellite signal unit; a direct signal is imported into a basic positioning algorithm module, a reflected signal is imported into an auxiliary positioning algorithm module, an initial positioning result and path correction information are obtained, then the initial positioning result and the path correction information are subjected to correlation verification, intermediate positioning data are generated, the intermediate positioning data are subjected to constraint adaptation based on railway line track feature information, and a constraint positioning result is obtained. Finally, the signal processing priority of the algorithm module is dynamically adjusted according to the constraint positioning result, final positioning information is generated and sent to a locomotive monitoring terminal, and therefore the accuracy and reliability of railway locomotive positioning can be effectively improved.

The energy-saving and consumption-reducing heat preservation structure comprises a heat preservation type vehicle body and a heat preservation type floor arranged at the lower end of the heat preservation type vehicle body, a vehicle window heat preservation structure is arranged at the connection position of a vehicle window installation opening and a vehicle window of the heat preservation type vehicle body, and a vehicle door heat preservation structure is arranged at the connection position of a vehicle door installation opening and a vehicle door of the heat preservation type vehicle body. A sealing heat preservation structure is arranged at the position of a through hole formed in the heat preservation type vehicle body and used for installing small parts. A heat preservation type movable floor covers the access hole of the heat preservation type floor, one end of the heat preservation type movable floor is hinged to the corresponding position of the access hole, and the other end of the heat preservation type movable floor is detachably and fixedly connected with the heat preservation type floor through a triangular lock. By optimizing the thermal insulation structure of the track engineering machinery vehicle, the defect of large temperature difference inside and outside the vehicle caused by large temperature difference between south and north climate of the track engineering machinery vehicle is overcome, the energy consumption of refrigeration of an air conditioner and heating power of an electric heater is effectively reduced, the requirements of high-speed railway lines in different regions at present are met, and the thermal insulation performance, safety and comfort of the whole vehicle are ensured; the energy consumption is reduced.

The invention provides a railway bridge line-bridge integrated design method and system based on driving performance, and relates to the technical field of railway bridge track smoothness control, and the method comprises the steps: obtaining first information and second information; a vehicle-line-bridge coupled vibration mathematical model is constructed according to the second information; performing simulation processing according to the first information and a vehicle-line-bridge coupled vibration mathematical model to obtain a management cut-off wavelength; obtaining deformation data of a bridge line shape under a preset load working condition, and obtaining sub-band track line shape data; obtaining an interval line track smoothness design index; obtaining an inter-band acceleration correlation formula according to the line-bridge integrated design index system and the sub-band track linear data; and obtaining a design limit value based on an inter-band acceleration correlation formula. According to the method, the rail smoothness management of the on-bridge lines and the section lines of the railway bridge is unified, and the problem that in the prior art, the on-bridge rail line shape and the section line line shape management standard are not coordinated is solved.

The utility model belongs to the technical field of rail transit cleaning, and relates to a movable spraying weeding device for rail transit, which comprises a vehicle body, a pesticide storage box, a fixed spraying mechanism and a movable spraying mechanism, the vehicle body moves along a track line; the pesticide storage box is fixed on the vehicle body; the fixed spraying mechanism is communicated with the pesticide storage box; the movable spraying mechanism is communicated with the pesticide storage box; in the moving process of the vehicle body, the fixed spraying mechanism sprays weeding agents to weeds close to the track, the movable spraying mechanism sprays weeding agents to weeds far away from the track, the fixed spraying mechanism and the movable spraying mechanism are matched with each other, it is guaranteed that the weeding agents cover the weeds comprehensively without dead corners, spraying blind areas are avoided, and the weeding efficiency is improved. The weeding effect is improved; meanwhile, by adjusting the height and angle of the movable spraying mechanism, the coverage range of the weeding agent is dynamically adjusted according to the growth condition of the weeds, it is further ensured that the weeding agent effectively covers most weeds, and the weeding effect is improved.

Embodiments of the present application disclose a method and system for positioning a rail transit train. Ultra-wideband (UWB) ground sensors are arranged on a rail line, and UWB vehicle-mounted sensors are arranged at set positions of the train. The UWB vehicle-mounted sensors include a UWB vehicle-mounted host and a UWB vehicle-mounted antenna that are connected to each other. The method includes: collecting distance information between the UWB ground sensors and the UWB vehicle-mounted antenna; calculating the spatial coordinates of the UWB vehicle-mounted antenna by using the distance information and the coordinates of the UWB ground sensors; and determining the positioning information of the train according to the spatial coordinates of the UWB vehicle-mounted antenna. Through the solution of this embodiment, the active positioning function of the mountain rail transit train is realized, and the positioning accuracy requirements are met.

The invention discloses an image-based three-dimensional railway steel rail center line automatic extraction and reconstruction method and device, and the method comprises the steps: building an RTLP tracking railway line through a simulation train based on a Kalman filtering frame, and carrying out the RTLP initialization and RTLP tracking. Firstly, on the basis of reconstructed scene three-dimensional line segments, RTLP is initialized based on geometric feature constraints and texture alignment based on DBSCAN clustering of depth features, and RTLP seeds are formed. Then, on the basis of the RTLP seeds, predicting the growth direction of the RTLP seeds according to the inertia direction of a train, constructing a predicted value, detecting a two-dimensional railway center line in an image block based on a Hough frame, and performing three-dimensional reconstruction and constructing an observation value based on parallel constraints; and finally, based on a discrete Kalman filter, fusing the observed value and the predicted value, updating the state, and carrying out next Kalman filtering until RTLP is overlapped or the observed value cannot be stably reconstructed. According to the method provided by the invention, the railway center line can be completely reconstructed with high precision.

The invention discloses a high-speed rail line gale prediction system and method, and relates to the technical field of high-speed rail gale prediction. The system for predicting the gale along the high-speed rail comprises a multi-scale grouping representation module, a comprehensive prediction module and a data enhancement module, the multi-scale grouping representation module is used for generating a wind speed preliminary prediction value; the comprehensive prediction module is used for generating a final wind speed prediction value; the data enhancement module expands the diversity of the original wind speed data set. Based on the high-speed rail line gale prediction system, the high-speed rail line gale prediction method comprises the following steps: grouping multi-scale data; carrying out multi-dimensional attention feature fusion; calculating a preliminary predicted value; calculating a final predicted value; carrying out combined optimization training; expanding an original wind speed sample; and performing consensus enhancement training. The method has the advantages that through collaborative design of multi-scale feature fusion, dynamic adaptive weighting and unsupervised enhanced training, the three core problems of sudden wind speed report missing, noise sensitivity and marking dependence in high-speed rail gale prediction are solved, and the operation efficiency and safety of high-speed rail lines are improved.

The invention relates to the technical field of intelligent rail transit, and discloses a rail line detection method based on semantic segmentation. The method comprises the following steps: acquiring a track line image by using a laser camera, and preprocessing the acquired track line image by using a preprocessing module to obtain a preprocessed image; extracting track line features according to the preprocessed image through a backbone network; carrying out binarization segmentation on the extracted track line features by utilizing a binary segmentation module, carrying out track region division on the extracted track line features by utilizing a track embedding module, and clustering all pixels belonging to the same track line by utilizing segmentation results and division results; and carrying out fitting on the clustered pixels by utilizing a least square method post-processing module, and outputting a complete visual track line. Therefore, the robustness, the detection precision and the real-time performance of track line detection can be improved.

The invention discloses a train control method in a wet rail scene, and the method comprises the steps: a vehicle-mounted VOBC uploads train slip alarm information to a central ATS system based on collected slip alarm and / or signal side slip alarm information after vehicle processing; after the vehicle-mounted VOBC of the current vehicle reports slip, zero speed and degradation state information to the ZC / RC, the ZC / RC forwards the corresponding information to the vehicle-mounted VOBC of the rear vehicle closest to the same interval; and the rear vehicle manually sets or cancels the wet rail mode based on remote and / or local. By means of the method, the intelligent level of signal system processing response under the wet rail line condition is improved, so that a driver is matched to reduce the slip probability of the line under the wet rail condition and the emergency braking probability caused by invalid train speed measurement, and the system availability under the wet rail condition is improved.

The invention relates to the technical field of rail detection, in particular to a rail thickness detection device for rail traffic maintenance, which comprises a vehicle body, frames are fixedly mounted at two ends of the vehicle body, towing hooks are fixedly mounted on the outer walls of the frames, mounting shafts are fixedly arranged at two ends of each frame, and bearing parts sleeve the outer sides of the mounting shafts. The outer sides of the bearing parts are rotationally sleeved with wheels, a movable plate is movably arranged above the vehicle body, a support is fixedly installed on the upper surface of the movable plate, reinforcing ribs distributed at equal intervals are fixedly installed on the two sides of the support, and the ends of the reinforcing ribs are connected with the upper surface of the movable plate. The detection device can automatically walk on the rail, continuous detection of the thickness of the rail is achieved, the detection efficiency is greatly improved, compared with a traditional manual detection mode, the detection speed is greatly increased, the detection range is greatly widened, and the detection requirements of large-scale railway lines can be met.

The present invention relates to the technical field of bridge construction, and in particular to a bridge inspection robot, the robot comprising: a track, which is used to be arranged on the side web of the bridge; a walking mechanism, which is arranged on the track and can slide relative to the track; a connecting arm, which is connected to the walking mechanism; and a detection device, which is arranged on the connecting arm and is used to detect the flange plate, web plate and bottom plate of the bridge. The robot can solve the problem of the difficulty of using the manned beam bottom inspection vehicle in the prior art when the beam bottom space is narrow and there are both limited height highway lines and limited height railway lines under the beam bottom.

The invention relates to the technical field of deicing mechanisms, in particular to a six-shaft throwing type deicing mechanism which comprises a mounting bottom plate, a U-shaped supporting plate is fixedly mounted on the mounting bottom plate, a knocking icebreaking mechanism and an icebreaking auxiliary mechanism are arranged on the U-shaped supporting plate, and a tension adjusting mechanism is arranged in the U-shaped supporting plate. The knocking icebreaking mechanism comprises a bearing mounting seat arranged on the U-shaped supporting plate, a rotating circular shaft is movably mounted on the bearing mounting seat, a four-opening connecting shaft key is fixedly mounted at one end of the rotating circular shaft, a transmission sleeve is fixedly mounted at the other end of the rotating circular shaft, and rod throwing assemblies are symmetrically arranged on the four-opening connecting shaft key. According to the deicing vehicle, the knocking ice breaking mechanism is arranged, and when the deicing vehicle horizontally moves along the railway line, the multiple throwing rod assemblies can repeatedly knock the contact net at the same time through mutual cooperation between the rotating circular shaft and the throwing rod assemblies, so that ice covering the contact net is removed, and compared with manual knocking in the prior art, the deicing vehicle has the advantages that the working efficiency is improved; and the ice removal efficiency can be effectively improved.

The utility model relates to the technical field of railway construction, and provides a drilling-free supporting template adjusting and fixing device which is used for locking supporting templates and a protective wall, the number of the supporting templates is two, the two supporting templates are arranged on the same side of the protective wall in parallel, the length direction of the supporting templates is the same as that of the protective wall, and each supporting template comprises a connecting beam, a limiting plate and a hanging piece, the connecting beam is used for being placed between the two supporting formworks in a lap joint mode. The limiting plates are arranged below the ends of the connecting beams and located on the outer sides of the supporting formworks, and the limiting plates are used for being locked with the supporting formworks. One end of the hanging piece is used for being hooked on the protective wall, and the other end of the hanging piece is connected with the limiting plate close to the protective wall. According to the technical scheme, the problems that in the prior art, when a railway line is laid on the bridge base, positioning holes are generally drilled in the bridge base, the supporting formwork is fixed to the bridge base through cooperation of locking pieces and the positioning holes, construction wastes time and labor, and the construction efficiency is low are solved.

The utility model relates to the technical field of geotechnical engineering and railway construction, and particularly discloses a vibration reduction and deformation resistance steel sheet pile for deep foundation pit engineering close to an existing railway line, which comprises a steel sheet pile, a vertical load-bearing steel bar, a connecting component, a vibration isolation and reduction interlayer and a protective steel plate. By adopting a composite structure form of steel sheet piles, vibration isolation and reduction interlayers and vertical load-bearing steel bars, the structure reinforcing function and the vibration isolation function are organically combined, and a brand-new supporting structure system is formed; the vertical stressed steel bars are matched with the vibration isolation and reduction interlayer and the damping spring shock absorbers, the vertical stressed steel bars mainly share tensile stress to improve the stress state, the vibration isolation and reduction interlayer mainly absorbs vibration energy to weaken vibration transmission, and the comprehensive performance of the steel sheet pile is remarkably improved through the combined action of the vibration isolation and reduction interlayer and the damping spring shock absorbers; meanwhile, according to the scheme, by optimizing arrangement of the vertical load-bearing steel bars, selection of vibration isolation and reduction materials and arrangement of connecting components, the whole structure has the good reinforcing effect and vibration reduction performance, and construction convenience and economical efficiency are taken into consideration.

The present invention discloses a damage-resistant fork-heel-point rail, comprising a short center rail overlap section, a fork-heel-point rail extension section and a fork-heel-point rail overlap section, wherein the fork-heel-point rail overlap section is arranged at the end of the fork-heel-point rail extension section, the short center rail overlap section overlaps the fork-heel-point rail overlap section, the contact surface of the short center rail overlap section with the fork-heel-point rail overlap section is provided with a planing deepening structure, and the contact surface of the fork-heel-point rail overlap section with the short center rail overlap section has an anti-wear reinforcement structure. The present invention can significantly increase the width of the tip of the fork-heel-point rail, thereby increasing its strength and anti-wear performance, and the effect is direct and obvious. In addition, the present invention can ensure that the track interruption distance does not increase, and has little impact on the stability of vehicle passing. The strength of the fork-heel-point rail is improved, and the rate of damage occurrence and development is reduced.

The application discloses a kind of railway three-dimensional geographic scene data service production methods based on red blue stereo sheet, comprising: S1, preparation basic data, S2, organization data, S3, production stereo sheet, S4, associated railway line position data, S5, stereo scene map service release.The method of the application constructs stereo pair using aerial survey original aerial photograph, generates red blue stereo sheet, realizes that only low-cost red blue glasses can be viewed stereo scene;Through the analysis of stereo pair coverage and railway mileage point positioning information, the association of stereo pair and railway line position is realized, and the interested area is quickly searched and positioned;By making red blue stereo sheet into standard format map service data and publishing service, multiple users can be quickly called and observed through network transmission.

This invention discloses an intelligent early warning system and method for railway line patrol safety based on edge computing, involving intelligent safety early warning in the railway transportation field, enabling real-time controllable emergency measures to minimize the negative impact of incidents. The edge computing-based intelligent early warning system for railway line patrol safety includes: a cloud platform for an intelligent patrol system along the railway line, network infrastructure units for the intelligent patrol system along the railway line, on-site edge intelligent early warning devices and traffic control units, and IoT video sensing infrastructure units. This invention aims to deploy edge computers to continuously analyze 24-hour video streams from surveillance cameras at key locations along the railway line, process data in real-time, reduce latency, promptly identify abnormal events, take temporary emergency measures as quickly as possible, and rapidly report abnormal events, effectively shortening response time, significantly improving the efficiency of handling abnormal events in railway transportation, enhancing the accuracy of emergency measures, and ensuring railway line safety.

The utility model relates to the technical field of railway vehicle safe operation, and discloses a railway vehicle flexible car stop which comprises a mounting frame, fixing plates are fixedly connected to the periphery of the bottom of the mounting frame respectively, speed reduction assemblies are arranged at the bottoms of the fixing plates, a buffer is arranged at the top of the mounting frame, and a baffle is fixedly connected to the outer portion of the buffer. An adjusting assembly is arranged in the baffle; the speed reduction assembly comprises a connecting plate, the connecting plate is fixedly connected to the bottom of the fixing plate, a cushion block is fixedly connected to the bottom of the connecting plate, two damping rails are connected to the outer portion of the cushion block through first bolts, and railway lines are arranged at the opposite positions of the two damping rails. According to the utility model, a railway line is clamped by the damping rail, so that strong friction force generated by the first friction plate and the second friction plate brakes a vehicle from the bottom. The magnitude of the friction force is in direct proportion to the impact force of the vehicle, so that the kinetic energy of the vehicle can be effectively consumed, and the speed of the vehicle can be reduced within a short distance.

The invention relates to the technical field of rail transit unmanned driving, in particular to a rail line detection method and device based on dynamic circle intersection-parallel ratio loss function optimization, and the method comprises the steps: training a rail line detection model through employing a marked rail line image, and obtaining a prediction coordinate point of a rail line; according to the predicted coordinate points and the real coordinate points of the orbital line, constructing a total loss function according to a circle intersection-union ratio; and training a track line detection model by using the total loss function, and detecting a to-be-detected track line image by using the trained track line detection model. According to the method, the detection precision of the curved track line is improved, the limitation that a traditional model training method needs manual parameter adjustment is avoided, and a solution with higher robustness is provided for track line detection in a complex environment.

The present invention discloses a method for identifying and monitoring high-speed rail inter-city travel and commuting behavior based on mobile phone signaling. First, the mobile phone signaling data is cleaned, and then the mobile phone signaling data of the selected base stations along the high-speed rail line are divided into high-speed rail travel railway section travel chains; the actual high-speed rail passenger mobile phone signaling data is screened according to the average speed of each section of the high-speed rail travel chain, and the mobile phone signaling high-speed rail passenger identification results are adjusted and expanded by using the mobile phone signaling data through the passenger volume direction ratio analysis, and the high-speed rail inter-city commuting type is determined according to the cross-city flow through the travel direction of the high-speed rail passengers, and the cross-city section travel law and cross-city travel frequency are obtained according to the cross-city flow, and the passenger flow and distribution characteristics of various commuting passengers are obtained after analysis, so as to realize the real-time dynamic identification of high-speed rail inter-city travel and commuting behavior from massive mobile phone signaling data. The method of the present invention can promote the integration of the comprehensive transportation system and the national land space planning, and can serve the integrated development of urban transportation planning and regional transportation.

The embodiment of the utility model provides a railway line power supply monitoring system, and belongs to the field of railway line monitoring. The monitoring system comprises a thermal imaging camera which is fixed on a pole tower of a railway line through a camera shooting fixing device so as to acquire an image of on-site pole tower electrical equipment in real time; the platform warning module is used for analyzing the image acquired by the thermal imaging camera and giving a warning when the image is abnormal; the storage module is used for storing the images and warning information of the on-site tower electrical equipment acquired by the thermal imaging camera; the network transmission module is wirelessly connected with the thermal imaging camera, the storage module and the platform warning module so as to transmit information acquired by the thermal imaging camera to the storage module and the platform warning module; and the solar cell panel is connected with the thermal imaging camera so as to supply power to the thermal imaging camera. The monitoring system can monitor the railway line in real time.