391 results about "Railway engineering" patented technology

The invention provides a railway engineering completion delivery data information extraction method based on digital twinning. Relates to the technical field of engineering data processing. The technical key point of the invention lies in how to construct a dynamic digital twinborn model by integrating various technologies, such as BIM, Internet of Things, big data, AI and the like, and in combination with technologies, such as real-time data monitoring, intelligent analysis, data sharing and the like, the quality control, operation optimization, decision support and completion delivery efficiency of a railway construction project is improved.

The invention relates to the technical field of railway engineering, and provides a cantilever hoop attitude detection method and system based on visual inspection, and the method comprises the steps: calculating the dynamic shrinkage rate and stress distribution gradient of a metal material at a preset low temperature, and generating a deformation compensation coefficient; acquiring surface geometric deformation data of the cantilever hoop at a preset low temperature and non-uniform distribution data of a surface temperature field; and obtaining corrected deformation data, obtaining aligned data based on the corrected deformation data and the non-uniform distribution data, and performing low-temperature deformation field reconstruction on the aligned data to obtain a low-temperature deformation field reconstruction result so as to extract an overlapping region of a surface deformation path and a temperature abnormal boundary of the cantilever hoop. According to the surface deformation path and the geometric center offset of the overlapping region, calculating a posture offset parameter of the cantilever hoop, and generating a low-temperature deformation early warning signal; according to the method, the problem of insufficient detection precision caused by data collaboration loss is solved, and high precision, high robustness and scene adaptability of high-iron cantilever hoop low-temperature deformation detection are realized.

The invention discloses a railway engineering mechanical equipment energy consumption digital monitoring method and system, and relates to the field of railway construction equipment energy consumption management, and the method comprises the steps: obtaining the energy consumption data of each piece of to-be-selected railway engineering mechanical equipment in the operation process; preprocessing the energy consumption data in an edge processing unit to obtain a standardized feature vector; on the basis of the feature vectors, through a working condition recognition model, recognizing the current working condition of each piece of to-be-selected railway engineering mechanical equipment, and generating a working state labeling sequence; before operation task scheduling, unit energy consumption of each piece of to-be-selected railway engineering mechanical equipment is predicted based on the three-dimensional coupling atlas and the target task type, and task allocation optimization suggestions are output; and determining target railway engineering mechanical equipment based on the task allocation optimization suggestion, and outputting control parameters of the target railway engineering mechanical equipment. The key problems of energy consumption monitoring lag, working condition identification difficulty, unreasonable multi-equipment task allocation and the like in the prior art are effectively solved.

The invention belongs to the technical field of railway engineering safety monitoring and computer vision, and discloses a railway scene target detection and behavior recognition method based on space-time double-flow features, and the method comprises the steps: obtaining and preprocessing video data into an image frame sequence; a sequence is input to an improved target detection network (Mamba-Yov11), the network integrates local spatial features and global time sequence context information by setting a convolutional neural network path and a state space model path in parallel, and adopts an improved C3k2UIB module to realize dynamic path selection and improve parameter efficiency; the network training adopts a Focaler-IoU loss function to solve the problem of unbalanced training of small samples and difficult samples; and for complex behaviors, the detected target area is sent to the MILA-SF behavior recognition network, and the space-time behaviors are efficiently recognized through fast and slow dual-path design. According to the method, the detection precision of targets such as wearable equipment and operation tools in a railway scene can be remarkably improved.

The invention relates to the technical field of railway engineering construction safety, in particular to a railway engineering construction potential safety hazard intelligent identification and classification system and method. The system comprises a multi-source heterogeneous data acquisition module, a 5M1E hidden danger feature deconstruction module, a security rule knowledge base module, a risk reasoning and early warning module, a security tag portrait module and a PDCA-SDCA dual-cycle management module. According to the method, a construction site can be comprehensively perceived through multi-modal data, hidden danger characteristics are deeply analyzed based on six dimensions, namely Man, Machine, Material, Method, Envirant and Measurement, of 5MIE, risk reasoning and early warning under a complex scene are realized by using a graph neural network, hidden danger rectification closed loop and knowledge base continuous optimization are realized through double-cycle management, and the method and the system have the advantages that the construction site can be comprehensively perceived, so that the construction efficiency is improved. And the intelligent level and long-term learning ability of railway engineering construction safety management are obviously improved.

The invention provides a railway engineering information model lightweight management method and system, a storage medium and a computer program product. The method comprises the following steps: receiving uploaded original railway engineering information models from different sources; standardizing the model data format and the model detail level of the original railway engineering information model to obtain a standardized railway engineering information model; reducing the geometric complexity of each component contained in the standardized railway engineering information model by using a geometric simplification mode, and simplifying attribute information contained in the standardized railway engineering information model according to a preset standard to obtain a lightweight railway engineering information model; wherein the geometric simplification mode comprises the step of replacing geometric shapes contained in all the components with regular voxels; and carrying out visual presentation on the lightweight railway engineering information model by utilizing a virtual reality-based mode. According to the invention, lightweight management of the BIM model can be realized.

The invention provides a lossless identification and quantitative evaluation method and system for railway tunnel lining defects, and particularly relates to the technical field of railway engineering detection and intelligent identification. The method comprises the following steps: firstly, collecting a multi-source detection signal, and carrying out adaptive preprocessing on the multi-source detection signal; performing multi-level fusion on the preprocessed multi-source detection signals in a unified space coordinate system to generate a high-precision data set; and finally, inputting the high-precision data set into a multi-task lining defect evaluation model so as to realize refined identification and quantitative evaluation of the railway tunnel lining defects. According to the method, the automation and objectivity of lining defect detection are remarkably improved, and a reliable basis is provided for maintenance decision-making of a tunnel structure.

The invention discloses cement strength detection equipment for railway engineering detection based on an intelligent sensor, and relates to the technical field of cement strength detection. The cement strength detection equipment for railway engineering detection based on the intelligent sensor comprises a base, the top of the base is fixedly connected with a table board, and the top of the table board is fixedly connected with an electric hydraulic cylinder; an L-shaped rotating block; the bottom of the electric hydraulic cylinder is rotationally connected with an L-shaped rotating block through a first rotating shaft, a first fixing block is fixedly connected to the right face of the front side of the L-shaped rotating block, the bottom of the first fixing block is movably connected with a first hydraulic block through a first pushing block, and the top of the first hydraulic block is fixedly connected with the side face of the electric hydraulic cylinder through a second fixing block. The first hydraulic block is fixedly connected with a second hydraulic block through a first hose, and the top of the second hydraulic block is movably connected with a lifting block through a second push block. According to the cement strength detection equipment for railway engineering detection based on the intelligent sensor, when the equipment is used, the L-shaped rotating block is rotated to drive the lifting block to ascend, so that manual operation is reduced when a detection mode is changed.

The invention discloses a live-action three-dimensional lightweight method for a railway scene. The method comprises the following steps: acquiring live-action three-dimensional image data in a preset area containing a railway main body by utilizing unmanned oblique photography; performing pretreatment; inputting the DOM data into the trained deep learning classification model, and carrying out ground feature category segmentation and semantic processing to obtain monotonized model data of different categories and different blocks; performing partition compression on each type of monomer model data; constructing a dynamic LOD system based on an octree according to different category partitions; and according to the established dynamic LOD system, generating a unique identifier for each block by adopting a spatial index tree, establishing an R tree spatial index, performing fusion processing on adjacent block joints by adopting a multi-resolution model, and performing merging optimization on block data. According to the method, high-efficiency lightweight of the railway live-action three-dimensional model is realized, the data processing and application efficiency is improved, and powerful support is provided for digital transformation of railway engineering.

The invention relates to the technical field of railway engineering safety management, in particular to a railway engineering hidden danger recognition method based on multi-dimensional feature deconstruction, which comprises the following steps: performing multi-dimensional analysis on safety risks and determining safety risk types through feature extraction, association analysis and model classification based on historical safety data and multi-modal sensing data; dividing monitoring partitions and collecting multi-modal sensing data; judging an abnormal condition and acquiring key hidden danger parameters and risk thresholds of the core risk area; early warning triggering and risk levels are judged based on sensor feedback data; and adjusting the acquisition frequency or generating early warning information according to the risk level. The method can improve the hidden danger recognition accuracy, reduces the false alarm and the missing alarm, optimizes the data processing efficiency, achieves the precise early warning and dynamic monitoring, and improves the safety management level of railway engineering construction.

The invention discloses a permafrost roadbed structure design method based on railway long-term deformation control, which comprises the following steps of: carrying out comprehensive investigation and physical and mechanical property analysis on frozen soil through geological plotting, geological drilling and comprehensive geophysical prospecting; according to investigation and analysis results, determining layered distribution characteristics of the permafrost of the foundation; according to the layered distribution characteristics of the permafrost of the foundation, parameters of a roadbed structure are set; calculating and analyzing the cooling capacity demand of the permafrost roadbed; setting a railroad bed deformation control standard; and according to the cooling capacity requirement and the railway roadbed deformation control standard, combining the parameters of the roadbed structure, and designing to obtain the hot rod roadbed structure. The scientific and intelligent permafrost hot rod roadbed design method can be realized, long-term deformation control and dynamic adaptability guarantee is provided for railway engineering in cold regions, the operation and maintenance cost is reduced, and the service life of the roadbed is prolonged.

The invention provides special equipment for group replacement of high-speed railway turnouts and a construction method, and belongs to the technical field of railway engineering. Comprising a heavy rail car, a container type rail welding car, a plurality of special turnout transportation flatcars, a container type rail welding car and a heavy rail car which form a whole-column special marshalling used for integrated operation of transportation, replacement, welding and recovery of grouped rail pieces. A rail welding vehicle folding arm crane, a flash welding machine, rail welding vehicle auxiliary supporting legs and the like are carried on the container type rail welding vehicle; at least two flatcar folding arm cranes, flatcar auxiliary supporting legs, a lifting handrail and a special loading tool are installed on the special turnout transportation flatcar. Special equipment and a construction method are used for achieving integrated operation of the high-speed railway turnout from bulk material pre-assembly to group transportation, replacement, welding and old turnout recycling, the problem that group replacement of an existing high-speed railway turnout is completed at a skylight point is solved, and the defects of a group replacement operation technology of the high-speed railway turnout are overcome.

The utility model discloses a needle-sheet-shaped railway ballast particle screening device, and relates to the technical field of railway engineering material detection and particle sorting. When the number of the screen assemblies is larger than or equal to 2, the screen assemblies are sequentially stacked in the vertical direction. In the vertical direction, the average particle size of the corresponding size fraction of each screen assembly is gradually reduced from top to bottom in sequence; the screen assembly comprises a needle-shaped screen device, a sheet-shaped screen device and a grading screen device which are sequentially communicated from top to bottom in the vertical direction. A plurality of first screen holes are formed in the bottom of the needle-shaped screen device, and the first screen holes are used for intercepting needle-shaped particles in the size fraction; a plurality of second screen holes are formed in the sheet-shaped screen mesh device, and the second screen holes are used for screening sheet-shaped particles in the size fraction to fall onto the grading screen mesh; a plurality of third screen holes are formed in the grading screen device, and the third screen holes are used for conducting preliminary screening on the size fraction corresponding to the next screen assembly. And efficient separation of needle-sheet-shaped particles is achieved, and the working efficiency is improved.

The invention provides a railway engineering BIM work checking pricing method and system based on multi-dimensional mapping and block chain credible evidence storage, and the method comprises the steps: decomposing a railway engineering according to a railway engineering EBS to obtain a plurality of EBS nodes, constructing an EBS code for each EBS node, and obtaining a railway engineering BIM model; constructing four-dimensional coding mapping; obtaining inspection batch state data, determining an EBS node state based on the inspection batch state data by utilizing four-dimensional coding mapping, and when detecting that the EBS node state change is acceptance completion, extracting an engineering quantity increment corresponding to the EBS node of which the EBS node state change is acceptance completion; extracting a list number of EBS nodes subjected to acceptance inspection by utilizing mapping of EBS codes and an engineering quantity list in four-dimensional code mapping to generate a structured form, auditing the structured form on the block chain according to a set process, and recording the auditing on the block chain to realize whole-network consensus; and when the verification of the structured form is completely passed according to the set process, triggering a payment link, and uploading and storing a payment record.

The invention discloses a railway roadbed settlement prediction method and system, and belongs to the technical field of railway engineering. According to the method, basic data such as a roadbed structure, filler parameters, geological conditions and historical monitoring data are collected, a differential prediction model is matched according to roadbed strength grades, risk grading and monitoring resource dynamic allocation are carried out after parameter optimization and multi-index precision evaluation, and iterative optimization is realized based on an empirical database. The system comprises a data acquisition module, a model matching module, a settlement simulation module, a precision evaluation module, a post-processing module and a data storage module, and all the modules cooperate to achieve full-process automation. According to the method and the system, the problem of insufficient adaptability of a traditional single model is solved through accurate model adaptation, the prediction efficiency and the data reliability are improved by means of automatic processing, the safety and the cost are balanced through risk hierarchical management and control, and the adaptability of the system to complex working conditions is continuously enhanced through an iteration mechanism.

The invention relates to the technical field of railway engineering, in particular to a track smoothness influence factor correlation analysis method which comprises the following steps: taking track gauge deviation, unevenness, horizontal irregularity, track direction irregularity and curvature change rate corresponding to track smoothness as parameter components; calculating a reference value and an allowable threshold value between the parameter components by using a Gaussian mixture model, and determining the weight of each parameter component; identifying degradation characteristics of each parameter component under the time sequence; using the updating time of the comprehensive degradation degree as a key node of each parameter component by using a linear weighting form; verifying the association probability of each key node and the maintenance record, setting an early warning parameter set, and setting the change trend of each key node according to the number of continuous early warning times in the early warning parameter set; performing interaction analysis based on the change trend of each key node, and determining an early warning range boundary of each parameter component under parameter accumulation; the accuracy and efficiency of track smoothness analysis are realized.

The invention provides a railway BIM model and EBS code automatic association method and system, and the method comprises the steps: obtaining a to-be-associated railway BIM model composed of components, and enabling the railway BIM model to use a model structure tree to integrate component nodes; based on a preset association rule in the EBS automatic mapping template, establishing a binding mapping relationship between each component node of the railway BIM model and an association node of the EBS structure tree so as to achieve association between the railway BIM model and the EBS code; wherein the EBS structure tree takes different professions in railway engineering as father nodes. According to the method, the components and the EBS codes of the large-scale BIM model can be automatically associated.

The invention relates to the technical field of railway engineering safety monitoring and authority management, and discloses a railway engineering construction authority management system based on multi-dimensional conditions, which comprises an organizational structure management module, a duty authority configuration module, an alarm access module, an authority matching module, an alarm distribution module and an alarm tracing and statistics module. Wherein the authority matching module realizes the dynamic matching of responsible persons through organization chain positioning, authority retrieval, boundary rules, space-time filtering and priority ranking; the alarm distribution module supports a failure retry and recursion mechanism; and the alarm tracing and statistics module records the alarm event and generates a visual report. The system can uniformly manage five-level organizational structures of groups, construction units, projects, sections and work areas, realizes cross-system alarm access, dynamic permission matching and full-link closed-loop management, solves the problems of permission dispersion, response delay and insufficient supervision level coverage in existing railway engineering construction, and improves early warning linkage efficiency and safety management precision.

The invention relates to the technical field of data processing, and discloses a construction management method and system for intelligent engineering. The method comprises the steps that construction data containing mileage stake number indexes are collected through special detection equipment, a linear coupling constraint model of four processes is established, an improved hummingbird algorithm is used for optimizing three targets of resource allocation, safety risk and quality control, a Pareto solution set is generated, and dynamic scheduling based on mileage progress is achieved. The technical problems of insufficient data acquisition precision, inaccurate process constraint modeling, low pertinence of a multi-target optimization algorithm and lack of dynamic scheduling capability in the existing railway engineering construction management technology are solved, and the intelligence level and the multi-process collaborative optimization effect of railway engineering construction management are improved.

The invention belongs to the technical field of railway engineering computer aided design, and particularly relates to a method for establishing interlayer contact in batches based on a vehicle rail road ground coupling model. In order to truly restore the running service environment of the train, UM software is used for establishing a professional train model, ANSYS software is used for establishing a flexible under-rail model, the two pieces of software are combined for simulation to establish a train-rail-road-ground coupling model, the running condition of the train when an under-rail system participates is simulated, and the running service environment of the train is truly restored. The operation performance of under-rail system abnormalities such as fastener fracture failure, track slab cracking, CA mortar layer deterioration failure and excessive foundation bed settlement can be avoided. After modeling is completed, a programmed language is used for building interlayer contact force elements in batches, interlayer constraint capacity of different aging degrees and degradation degrees is simulated by changing rigidity and damping coefficients of the force elements, or constraint is directly removed to simulate abnormal working conditions such as fracture.

The invention provides a bridge floor slag blocking wall stability analysis system and method for a high-speed railway, and relates to the technical field of high-speed railway engineering. The system comprises a data acquisition and processing unit, a structure analysis and calculation unit and a stability evaluation and early warning unit. The data acquisition and processing unit is used for acquiring geometric parameters of the slag wall, material performance parameters and original data and historical data of environmental load; the structural analysis and calculation unit is used for simulating dynamic stress and displacement response of the slag wall under multiple working conditions in the whole life cycle based on the original data and the historical data; and the stability evaluation and early warning unit is used for carrying out self-adaptive intelligent judgment on the stable state of the slag blocking wall based on the dynamic stress and the displacement response, carrying out graded early warning on potential risks and predicting the evolution trend of the potential risks. The method and the device are used in the stability analysis process of the bridge floor slag blocking wall, and solve the technical problem of lagging risk early warning of the stability analysis of the bridge floor slag blocking wall of the high-speed railway in the prior art.

The utility model relates to a positioning device for a bolt in an anchor bolt hole of a railway engineering support padstone, which belongs to the technical field of support padstones and comprises a fixed seat, an adjusting rod, an embedded body and a locking piece, the number of the adjusting rods, the number of the embedded bodies and the number of the locking pieces are the same. One end of the adjusting rod is in threaded connection with the vertical side wall of the fixed seat, the other end of the adjusting rod is arranged in an overhanging mode in the direction away from the fixed seat, the embedded body is arranged on the adjusting rod in a sliding mode and slides in a reciprocating mode in the length direction of the adjusting rod, the embedded body is vertically arranged, and the locking piece is used for locking the position of the embedded body relative to the adjusting rod; and the adjacent adjusting rods are located on different vertical side walls of the fixed seat. The device has the effect of ensuring that the positions of the adjacent anchor bolt holes in the same cushion stone are accurate.

The present application relates to the technical field of railway engineering, and provides a load cable tension compensation control method and system based on multi-sensor fusion, which solves the problems of unstable control effect, insufficient system robustness and adaptability. The method comprises the following steps: obtaining the tension change detected by a strain sensor and the spatial vibration trajectory detected by an acceleration sensor during the dynamic vibration process of the load cable; predicting the target deformation damping range required by the adjustable mechanical buffer device at the anchoring end of the load cable; generating the pulse width and pulse interval corresponding to the deformation damping correction amount according to the tension change, the spatial vibration trajectory and the target deformation damping range; and adjusting the deformation damping parameters of the adjustable mechanical buffer device according to the pulse width and pulse interval, so that the tension fluctuation amplitude converges to the preset fluctuation threshold interval. The present application realizes accurate perception and adaptive compensation of the load cable tension fluctuation, and improves the response speed, stability and environmental adaptability of the control system.

The utility model provides a milling device for a rail-changing high-low joint, which belongs to the technical field of railway engineering machinery and comprises a main frame, an inclination adjusting mechanism, a milling mechanism, a control mechanism, a milling mechanism and a milling mechanism, wherein the inclination adjusting mechanism is arranged on the main frame and is used for adjusting the inclination of the main frame to carry out downslope milling operation; the rail clamping mechanism is used for clamping and positioning the steel rail so as to mill; the machining unit is used for milling the joint of the steel rail; and the guide unit is used for guiding the machining unit to move along the downslope track so as to carry out downslope milling. A cutter forming face of the machining unit is matched with a steel rail working face, a rail top and a steel rail non-working face. The utility model effectively solves the problems of high labor intensity and poor precision of on-site new and old rail height difference down slope grinding, can realize down slope transition milling operation in a sufficient range, meets the requirement that the high gradient is less than 0.1%, and has the advantages of high joint processing efficiency, good quality and the like.

The invention relates to the technical field of data processing, and discloses a multifunctional standardized acquisition system and device for railway engineering image data, which realize standardization of railway engineering image data acquisition through parallel processing among multiple units, ensure real-time updating and verification of field information, strengthen identity authentication of personnel and equipment and improve the efficiency of data processing. Human errors and data distortion are avoided, and the overall reliability and safety of the system are improved; and finally, through regular timing, re-checking the text recognized by the OCR, performing high-precision face recognition, and unifying identity verification of equipment and personnel, time synchronization, text accuracy and identity authentication tightness of the system are ensured, the overall precision and security of the system are improved, potential loopholes or identity false use are prevented, and the system is safe and reliable. Normative management of a construction site and authenticity of information are guaranteed; the whole system is intelligent and portable, and accurate analysis and response rate of the system are guaranteed.

The utility model relates to the related technical field of railway engineering, in particular to a corrugated plate positioning and splicing device for reinforcing an old railway tunnel, which comprises a mounting plate, a fixing and clamping mechanism is arranged on the surface of one side of the mounting plate, and a splicing and positioning mechanism is arranged on the surface of one side of the fixing and clamping mechanism. According to the corrugated plate positioning and splicing device for reinforcing the old railway tunnel, through the arrangement of the fixing and clamping mechanism, the risk that in traditional splicing, due to the fact that positioning is not firm, parts slide down is effectively avoided, corrugated plates are prevented from falling down and being damaged, and the safety and reliability of railway tunnel splicing operation are improved; through the arrangement of the splicing positioning mechanism and the synergistic effect of components such as a height adjusting motor, the mounting height, angle and position of the corrugated plate can be dynamically adjusted in a multi-dimensional mode, the limitation of a traditional fixed mounting mode is broken through, a complex curved surface structure of the inner wall of a railway tunnel and the actual mounting requirement can be flexibly met, and the operation process is simplified.

The invention provides a railway BIM modeling method based on a cloud architecture. The railway BIM modeling method comprises the following steps: collecting design data of related equipment related to a railway; making a railway BIM model based on three-dimensional design software; creating a three-dimensional scene of the railway engineering, performing cache slicing through a cloud end, and publishing the three-dimensional scene as a three-dimensional data service; building a cloud architecture GIS environment; analyzing the BIM models in batches in the cloud architecture GIS environment, and storing the BIM models in a distributed system; a railway BIM model management platform based on the cloud GIS is built, railway BIM model data service is released, and visual display and automatic integration of the BIM model are achieved. And the cloud architecture and BIM modeling are combined, so that the modeling efficiency is effectively improved.

The invention relates to the technical field of map design for railway engineering, in particular to an automatic design method and device for a railway map, and the method comprises the steps: inputting basic data required for map design, the basic data comprising professional interface data and land width original data; identifying a line center line, and obtaining a line starting and ending point mileage range; processing gap data in the professional interface data, and arranging to form a design work point table; performing grouping and data processing on the land width original data according to the design work point table; on the basis of the processed land width original data and line midline data, land boundary piles are automatically designed in batches, and attribute information is added to each land boundary pile; and based on the land boundary piles and the grouped data, land boundary red lines are automatically designed, and attribute information is added to each segment of land boundary red line. According to the invention, the problems of data splitting, low automation degree, poor result normalization, lack of intelligent association, lagging change response and the like in the prior art are solved.

This invention relates to the field of road and railway engineering technology, and discloses an active air-heat synergistic regulation structure and method for preventing frost heave in cold-region roadbeds. Sensors embedded in the roadbed acquire real-time temperature and humidity data, and a controller automatically switches operating modes based on data feedback and preset logic. In active drying mode, hot, dry air is injected into the pipeline network to reduce the roadbed moisture content below the critical frost heave threshold, eliminating the root cause of frost heave. In adaptive barrier mode, a low-energy "thermal barrier" is formed using slightly warm air, and in the event of sudden water intrusion, a "freezing barrier," or ice curtain, is creatively formed using a low-temperature refrigerant for emergency water isolation. In assisted thaw drainage mode, low-pressure air is used to accelerate the discharge of thawed water. This invention transforms frost heave prevention from reactive remediation and passive defense into proactive, intelligent, full-cycle management, achieving a unified approach to both symptomatic and fundamental treatment. It has advantages such as strong adaptability, high reliability, and integrated functional synergy.