55 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.

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.

This application provides a GNSS-based intelligent early warning control system, method, and storage medium for construction machinery operating near a railway line, relating to the field of obstacle avoidance technology for construction machinery. The method includes: acquiring three-dimensional coordinate information of the construction machinery body and dynamic end-effector's working point using at least one main GNSS positioning module and at least one secondary GNSS positioning module, respectively; combining this with pose sensing information collected by a pose sensor and preset machinery size parameters; accurately determining the three-dimensional spatial outer contour boundary of the construction machinery; and achieving comprehensive perception of the overall spatial position of the construction machinery. By determining the first minimum spatial distance between the three-dimensional spatial outer contour boundary and the warning fence, and the second minimum spatial distance with the parking fence, hierarchical early warning control is achieved. When preset locking conditions are met, a control level is automatically output, and the connection between the pilot solenoid valve circuit and the pilot oil circuit and the hydraulic system is cut off through the active parking control circuit, forcing the construction machinery into a locked-down state.

This invention relates to the field of trestle bridges, specifically to a trestle bridge for construction across railway lines and its usage method. The trestle bridge includes a trestle bridge module, approach bridge modules, a traveling module, and a support and guide module. The trestle bridge module is erected within a reserved passage area on the external track line. The approach bridge module is mounted on one side of the trestle bridge module via a rotating shaft and is pulled by the trestle bridge module. Two sets of traveling modules are installed on both sides of the ends of the trestle bridge module. The support and guide module is erected on the side of the reserved passage area facing the track. The hydraulic motor in the traveling module, in conjunction with the traveling wheels, drives the trestle bridge module to move rapidly along the guide roller seats of the support and guide module. Combined with the folding and unfolding functions of the approach bridge module, this enables rapid erection and dismantling of the trestle bridge, significantly shortening construction preparation time and dismantling cycle, avoiding prolonged interruptions to railway operations, and effectively solving the problems of long construction cycles and dismantling interference with normal railway operations caused by traditional trestle bridges.

This invention relates to the field of underground engineering and tunnel construction technology, and discloses an active unloading reinforcement method for pipe jacking tunnels passing under railways under conditions of extremely shallow overburden. By acquiring parameters of the railway's influence zone, temporary supports are erected at both ends, and construction beams are fixed to the rails to construct a primary load transfer path. The parameters and stiffness data are input into a model to solve the benchmark theoretical sequence. Reinforcement columns and connecting beams are constructed on both sides of the tunnel to form a portal pier structure, generating a secondary load transfer path and isolating the low-stress construction zone. Within this zone, the pipe jacking machine excavates, controlling the soil chamber pressure at the target threshold. Field monitoring data is collected and aligned with the benchmark sequence to generate a dynamic deviation matrix. When the residual reaches the warning threshold, parameters are calculated and compensatory grouting is performed. This invention effectively controls the deformation and settlement of existing railway lines by physically supporting and cutting off the train's live load transfer path, combined with closed-loop data feedback to dynamically control ground erosion.

This application relates to the field of substation fault detection technology, and discloses a fault detection method, electronic equipment, and storage medium for railway substations. This application, considering the operating conditions of railway substations along the railway line, adopts a temperature acquisition frequency positively correlated with the frequency of train passage. This accurately captures the impact of external excitation on the substation temperature when trains pass, improving the relevance and effectiveness of temperature data acquisition. By maximizing heat dissipation intervention and calculating the temperature drop coefficient, it can clearly distinguish whether the excessive temperature is due to a fault in the heat dissipation system itself or other factors causing heat dissipation failure. This solves the problem in related technologies where temperature monitoring alone cannot determine the root cause of excessive temperature and results in low fault detection accuracy. Simultaneously, by introducing vibration parameters and the temperature drop coefficient for joint judgment, it accurately identifies coupled thermal faults caused by vibration, achieving precise fault type localization and avoiding misjudgment and missed judgment.

This invention discloses a method and device for monitoring safety risks along railway lines based on multimodal sensing. The method includes: acquiring physical quantity signals of optical fibers positioned within a preset range along the railway line, including optical fiber vibration signals, stress signals, and temperature signals; fusing the physical quantity signals to generate multimodal optical fiber signals; extracting features from the multimodal optical fiber signals according to regional units along the railway line to obtain multimodal feature data corresponding to each regional unit; performing multi-dimensional feature calculations on the multimodal feature data to obtain multi-dimensional feature data; and determining the safety risks along the railway line based on the multi-dimensional feature data. This invention can cover multiple scenarios and monitor multiple types of safety risk events, effectively improving anti-interference capabilities and accurately identifying safety risks along railway lines in complex environments.

The utility model provides an automatic oiling machine relates to railway line clue oiling equipment technical field, including support mechanism, crawl mechanism and oiling mechanism, crawl mechanism includes moving wheel subassembly and with moving wheel subassembly transmission links and moves drive subassembly, and moves drive subassembly fixedly arranged on support mechanism, and can drive moving wheel subassembly rotation, to make support mechanism along the rope movement, oiling mechanism fixedly arranged on support mechanism, and with support mechanism synchronous movement, and oiling mechanism is provided with oiling clamp, and the rope passes through oiling clamp, and oiling clamp is used for to the rope oiling, the utility model discloses not only can realize automatic oiling operation, and greatly promote oiling efficiency and operation safety, and move and oiling synchronous, can effectively guarantee the uniformity and reliability of oiling, whole structure compact can adapt to the complex working condition such as the curve trend, height difference of railway line clue, and the wide application range.

This application presents a method for classifying land features along railway lines using remote sensing imagery based on morphological entropy fusion. The method includes: acquiring Sentinel-1 radar imagery, Sentinel-2 optical imagery, and a fused image of the target area from a GEE platform, and preprocessing the data; generating masks on the Sentinel-1, Sentinel-2, and fused images respectively, and calculating and extracting circumferential morphological entropy, radial morphological entropy, and joint morphological entropy; extracting polarization and texture features from the Sentinel-1 imagery, and spectral and exponential features from the Sentinel-2 imagery, and constructing corresponding composite features on the fused imagery; combining these features with morphological entropy features from corresponding data sources; training a random forest classification model based on each feature set, and using the trained model to classify four typical land features along the railway line: buildings, railways, vegetation, and highways. This method, by fully utilizing multi-source remote sensing information, effectively characterizes the structural complexity and irregularity of land feature outlines through morphological entropy, significantly improving the accuracy and reliability of the classification results.

The present application relates to the technical field of railway detection, and discloses a railway line video equipment extraction method and device based on unified identification and time sequence fusion of multiple types of equipment. It aims to solve the technical problems of lack of unified identification ability of multiple types of key equipment, high false detection, serious repeated detection, low detection efficiency and insufficient robustness caused by single frame detection in the prior art. The present application includes the following steps: video acquisition and image preprocessing; generation of equipment candidate area based on prior knowledge of the railway industry; unified identification of multiple types of key equipment; construction and association of time sequence trajectories of continuous frame detection results; equipment existence confirmation based on time sequence fusion; equipment level result output and spatial deduplication. From the complete processing link of vehicle-mounted video data to equipment level structured results. The present application realizes unified identification and extraction of multiple types of railway 2C key equipment, significantly reduces false detection and repeated detection by using time sequence fusion, and improves detection efficiency and robustness by introducing prior knowledge of the railway industry.

This invention discloses an autonomous unmanned aerial vehicle (UAV) inspection operation monitoring and analysis system, belonging to the field of UAV inspection operation analysis technology. The invention processes collected railway track image data, railway catenary thermal imaging data, and 3D point cloud data along the railway line to obtain visual indices, functional indices, and structural indices. The inspection result generation module compares these indices with thresholds and performs corresponding operations, such as marking the priority of defect maintenance or structural maintenance, and pushing relevant data to maintenance personnel. This fully leverages the value of the data, provides guidance for optimizing subsequent inspection work, and solves the problem of existing technologies lacking efficient analysis and processing mechanisms, thus failing to fully exploit the value of the data.

This invention discloses a comprehensive evaluation platform for railway line schemes based on a large model, relating to the field of railway line planning technology. The invention includes a survey and design data collaboration module, a dual-model evaluation core module, a model output optimization module, and a database. The survey and design data collaboration module collects relevant data from various survey areas and constructs an evaluation system. The dual-model evaluation core module assesses the flood control and frost prevention effects of the survey areas based on summer precipitation and winter low-temperature conditions, obtaining scores. The model output optimization module combines the comprehensive evaluation score with the flood control and frost prevention scores to generate and screen candidate railway line schemes. This invention improves the accuracy of environmental assessment, data collaboration, and the scientific nature of scheme optimization in railway line evaluation. It deeply integrates environmental assessment of survey areas with railway line scheme optimization, enhancing the scientific nature, safety, and feasibility of railway line site selection, and reducing subsequent operation and maintenance costs.

The application discloses a railway ballast maintenance priority evaluation method and device based on a ballast covering state, and the method comprises the following steps: dividing a railway line into multiple sections according to a preset length, obtaining the excess ballast amount and the insufficient ballast amount of the ballast bed area of each section relative to a preset standard ballast bed section; calculating the excess ballast amount statistical value and the insufficient ballast amount statistical value representing the discrete degree of the excess ballast amount and the insufficient ballast amount of all sections of the line respectively according to the excess ballast amount and the insufficient ballast amount of all sections of the line; obtaining the excess ballast unevenness value and the insufficient ballast unevenness value of each section respectively through normalization processing according to the excess ballast amount statistical value and the insufficient ballast amount statistical value; determining the weighted sum of the excess ballast unevenness value and the insufficient ballast unevenness value as the comprehensive unevenness value representing the ballast covering state of the corresponding section; and evaluating the ballast maintenance priority of each section according to the comprehensive unevenness values of the multiple sections. The application can efficiently screen the key defect sections in the railway line.

This invention discloses a precast beam curing facility and method for precast beams passing under operating high-speed railway sections. Adjacent precast beams are joined to form an insulation cover, with waterproof strips installed between them for sealing. Multiple precast beams are combined into a curing shed. Each precast beam has a base and casters at its bottom, and curtains are installed at both ends. The curing shed contains curing equipment, including a water tank, a circulating water pump, an outlet pipe, and a reversing valve. One end of the prestressed duct in the precast beam has an inlet pipe, and the other end has a drain pipe. The four ports of the reversing valve are connected to the circulating water pump, outlet pipe, inlet pipe, and drain pipe, respectively. The circulating water pump and outlet pipe are connected to the water tank. This invention addresses the problems of micro-cracks appearing inside the precast beam during the cooling period due to insufficient curing, and poor surface performance of the precast beam due to insufficient temperature distribution during the constant temperature period.

The application discloses a kind of general line shape calculation methods of railway line, it is related to railway design technical field, including the following steps: constructing line model management link table container;Through the curvature expression of constructing straight line, circular curve, easement curve, create general line shape data structure;Using curvature expression, combined with numerical integration and nonlinear equation solution, calculate line parameter;Interconversion is carried out to two kinds of data organization models of intersection method and unit method;Build mileage conversion system, carry out the conversion of line model mileage and broken chain;Through using model splitting, merging, editing means, realize the interactive modification of line model;According to the design specification and design speed used by line model, carry out line model compliance check;Line model coordinates, line spacing are calculated and output results;The calculation method is novel and unique, can greatly improve the precision and calculation efficiency of railway line line shape calculation, with strong versatility and expandability.

The present application relates to railway heavy load freight vehicle, specifically to a kind of knotted frame combined with a pair of supporting wheel bogie.Aiming at the defects that the longitudinal structure of traditional 3-axle bogie is strong in rigidity, the middle wheelset is easy to produce second guide force, cause the poor curve negotiation performance of bogie, the serious wheel-rail wear and the large damage to track panel, the bogie of the present application adopts knotted frame structure, replaces the rigid integrated side frame structure of traditional 3-axle bogie, and adopts a pair of non-flanged, horizontal tread, and one-wheel one-axle supporting wheel, replaces the middle wheelset in traditional 3-axle bogie.Meanwhile, mechanism with rotary torque function is added in multiple directions and multiple levels in bogie structure, further improves the stability of anti-snaking performance of bogie.Through the above technical scheme, the bogie of the present application is expected to realize heavy load transportation of 100t level and above vehicles on existing special railway line, and realize the passing transportation of 80t level and above vehicles on existing general railway line.

This invention discloses a method for intelligent design and optimization of railway lines based on a large language model, comprising: S1, setting up an AI environment for intelligent railway line design; S2, constructing intelligent railway line design commands for AI invocation; S3, creating a configuration document for the AI ​​command set of intelligent railway line design; S4, constructing a knowledge base for intelligent railway line design workflow in natural language; S5, constructing an MCP server for intelligent railway line design; S6, configuring a platform for intelligent railway line design; S7, based on the platform, users input natural language to drive AI commands for intelligent railway line design and scheme optimization; S8, after the intelligent design and optimization of the railway line is completed, users select railway line schemes by inputting natural language, and then the resulting diagrams and tables of the line schemes are output. This method significantly improves work efficiency and enhances the design experience, possessing high engineering application value.

The application discloses a railway line safety risk assessment method and system based on a two-dimensional cloud model, and the method comprises the following steps: constructing an index system for railway line safety risk assessment; determining the subjective weight of each index in the index system by using interval analytic hierarchy process, determining the objective weight of each index in the index system by using entropy weight method, and determining the combined weight by using improved game theory; for the railway line to be subjected to safety risk assessment, obtaining sequence data of each index including a plurality of sample observation values, and calculating two-dimensional cloud characteristic values of each index from two dimensions of risk occurrence probability and risk influence degree based on the sequence data of each index and the weight, and the two-dimensional cloud characteristic values are recorded as a cloud to be assessed; calculating the closeness between the cloud to be assessed and each level of risk standard cloud based on fuzzy distance, and determining the risk level with the largest closeness as the final assessment level of the railway line to be assessed. The application can simultaneously consider the risk occurrence probability and the consequence severity, and has high assessment accuracy and practicability.

This application relates to a displacement monitoring system for railway lines, belonging to the field of construction technology. The system includes a target, a displacement sensor, a monitoring structure, and a measuring robot. An edge reinforcement member is installed on at least one side of the rail along the extension direction perpendicular to the rail. The target is installed on the surface of the sleeper of the rail away from the ground. The displacement sensor is installed on the surface of the edge reinforcement member facing the target, and is used to monitor a first distance between the matched target and the displacement sensor. The sleeper intersects the extension direction of the rail. The monitoring structure is installed on the surface of the edge reinforcement member away from the ground. The measuring robot is positioned on the side of the monitoring structure away from the rail, and is used to monitor a second distance between the matched monitoring structure and the measuring robot. The displacement of the railway line is determined based on at least one of the first and second distances, thereby improving the accuracy of displacement monitoring of the railway line.

1. Name of the design product: adjustable claw jack (multi-section type). 2. Use of the design product: used for lifting and jacking at different heights in mechanical equipment, such as lifting and jacking in railway line and ballast bed maintenance. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model discloses a rotary uncovering buckle cover device for blast furnace torpedo tank, including base, hydraulic rotary motor, lift oil cylinder, support stand, crossbeam, hook, the base sets up in the railway line side part for transporting torpedo tank, the lower extreme of support stand is fixedly connected with base, and the upper end fixed hydraulic rotary motor, the cylinder body of lift oil cylinder is fixed on the vertical rotating shaft of hydraulic rotary motor top, one end of crossbeam is connected with the top end of telescopic link of lift oil cylinder, the hook is fixed in the middle part of torpedo tank cover plate of the torpedo tank car transported torpedo tank on the railway line and corresponds with crossbeam, and hydraulic rotary motor and lift oil cylinder are connected with hydraulic power system through hydraulic oil pipe, the utility model discloses setting up the hydraulic uncovering buckle cover device of multiple torpedo tank shared in fixed position, can easily complete the uncovering buckle cover operation of torpedo tank, can reduce the purchase, maintenance and operation cost of equipment compared with traditional on -vehicle hydraulic uncovering buckle cover system, eliminates the hidden danger of safety.

The present application provides a railway construction second line linear optimization method for land area minimization, comprising: S1. obtaining basic data; S2. constructing a plane linear parameter model; S3. setting a line constraint condition and determining a constraint line; S4. setting a target function; S5. intersection classification iterative optimization; S6. adaptive intersection number iterative optimization; S7. screening an optimal linear scheme. The present application provides an efficient and feasible technical solution for the problems of narrow feasible solution space and long iteration time in the traditional optimization method in railway construction second line linear optimization, and the core target is to minimize the railway construction land area, while improving the efficiency and quality of linear optimization, reducing the railway construction cost, meeting the actual design requirements of railway construction second line engineering, and providing technical guidance for related engineering practice.

This application relates to a method, apparatus, and computer equipment for determining wind speed forecasts along high-speed railway lines. The method includes: collecting historical monitoring data from meteorological stations along the high-speed railway line and normalizing the historical monitoring data to determine normalized data; determining the target decomposition level of a multivariate variational mode decomposition algorithm (MMD), and performing MMD on the normalized data based on the target decomposition level to determine the target intrinsic mode function matrix; dynamically modeling the kernel parameters of the radial basis functions based on stochastic differential equations to determine the dynamic kernel function; constructing a wind speed prediction model; using the wind speed prediction model to perform variational inference on the characteristic data of each intrinsic mode component based on the normalized data to determine the point-to-point and interval-to-interval wind speed prediction results along the high-speed railway line; constructing a multi-step prediction interval using a multi-step prediction strategy and determining early warning information. The above scheme improves the accuracy of point-to-point wind speed prediction and the stability of interval-to-interval prediction.

This invention discloses a method for emergency repair of overhead contact lines that considers train coasting capability. Specifically, the method involves: First, acquiring railway line parameters, train parameters, and overhead contact line fault information. Second, initializing a population of repair schemes, with each scheme represented by a randomly generated binary vector of length N. Next, considering train coasting capability, the feasibility of each repair scheme is verified based on traction calculations. Then, the train delay time for each feasible scheme is calculated based on the verification results. Finally, a genetic algorithm is used to optimize the train delay time, calculating the train delay time for different repair schemes in the last generation, and selecting the scheme with the minimum delay time as the optimal repair scheme. This invention can reduce train delays caused by overhead contact line repairs, providing a better basis for railway maintenance units to formulate emergency repair schemes for overhead contact line faults.

The application provides a high-altitude detection system of a wind speed and direction sensor, wherein the high-altitude detection system is installed on a transport operation platform, is lifted and stabilized on a wind speed and direction sensor operation plane through the platform, and is used for high-altitude real-time detection and / or calibration of the wind speed and direction sensor. The wind speed and direction sensor is usually installed at a high position, such as a wind speed and direction sensor on a catenary support post, which is installed at a position with a height of 4000 mm from a rail surface, and two wind speed and direction sensors are installed and fixed at each position; meanwhile, a railway line is relatively long, and even if real-time detection is carried out on site, it is very time-consuming and laborious. The application utilizes the extensibility of the operation platform at a high altitude and the convenience of long-distance transportation on the ground, meets the high-altitude detection needs of the wind speed and direction sensor, and unexpectedly solves the important practical problem of restricting the on-site detection of the wind speed and direction sensor.

This invention relates to a method, apparatus, equipment, and medium for identifying micro-topography along a catenary (overhead contact network). The method includes: acquiring digital terrain elevation data and geospatial data of the railway line along the catenary; extracting multi-dimensional features based on the digital terrain elevation data and geospatial data to characterize the correlation between catenary disaster risk and micro-topographic features; performing cluster analysis on the multi-dimensional features using a pre-trained clustering model, outputting clustering results, which include the mapping relationship between each dimensional feature and the clusters; verifying the rationality of the clustering results based on actual survey data, environmental monitoring data, and historical fault data along the catenary, and generating verification results; and generating micro-topographic identification results for the catenary area based on the verification results and clustering results. The method provided in this application enables accurate and efficient identification of micro-topography along the catenary during operation and maintenance.

This invention discloses a method and system for early warning of freight cars approaching dedicated railway lines by fusing multi-source heterogeneous signals. It involves deploying an array of multi-modal sensors (image, sound, laser, radar, and current) to collect heterogeneous physical signals. After synchronous preprocessing and feature extraction, an environmental state assessment system is constructed to dynamically identify environmental parameters such as light intensity, visibility, and noise level. Based on reinforcement learning and adaptive weighted fusion algorithms, a dynamic adjustment model for multi-modal signal fusion weights is established to achieve self-optimization of the contribution of each modality signal under different environments. Through confidence verification and decision fusion, train approach state parameters and early warning levels are output. This invention overcomes the limitations of single-sensor perception, integrates the complementary advantages of heterogeneous signals, exhibits strong environmental adaptability, improves perception accuracy to over 98%, and reduces early warning response delay to ≤200ms. It effectively ensures the safety of personnel and equipment operating on dedicated railway lines and is applicable to various dedicated railway line scenarios such as mines, ports, and railway hubs.

This invention presents a rapid feature extraction method for railway infrastructure based on multimodal data fusion, addressing the issues of low efficiency and unstable accuracy in existing railway infrastructure identification methods. It falls under the field of intelligent railway detection and rail transit environment perception technology. The invention includes: acquiring 3D point cloud data from a LiDAR scanner along the railway line; converting the 3D point cloud data into a 2D depth image, where pixel values ​​represent laser ranging depth; extracting rod-shaped infrastructure using the depth image; statistically analyzing the reflection intensity from the 3D point cloud data to identify high-reflectivity point cloud areas as metallic infrastructure features; acquiring images of the railway line environment; extracting kilometer marker bounding boxes based on deep learning; and performing digital recognition on the image regions within the kilometer marker bounding boxes.

This utility model discloses an asynchronous self-cooling grinding motor for rail grinding vehicles, relating to the field of motor technology. It includes a motor spindle, motor rotor, shaft extension end bearing, non-shaft extension end bearing, motor stator, motor base, grinding head mounting plate, and motor heat dissipation unit. The heat dissipation performance of this grinding motor is significantly improved. The heat dissipation unit and heat dissipation guide plate effectively increase the heat dissipation area, allowing the heat generated during motor operation to dissipate quickly, thereby reducing the motor's operating temperature, improving its efficiency and service life, reducing downtime for maintenance due to overheating or bearing failure, and improving the efficiency and quality of grinding operations. This utility model achieves significant improvements and enhancements in heat dissipation performance, bearing structure, ease of installation and maintenance, and overall performance and reliability, better meeting the application needs of rail grinding vehicles in railway line maintenance.