476 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 construction, and discloses a complex region railway engineering construction road intelligent line selection and evaluation decision method, which comprises the following steps: S1, in combination with terrain environment conditions and construction technology standards of a construction road, constructing an improved HAO plane line shape mathematical model, designing plane line shape constraint conditions, and constructing a line shape model; and establishing a line comprehensive cost model as an optimization objective function, and searching an optimal plane linear position parameter in a target area by using a particle swarm optimization algorithm. Compared with other intelligent line selection methods, the method can quickly evaluate and decide the advantages and disadvantages of the route scheme while quickly generating the horizontal and vertical section line shape of the construction road, optimizes the design process, facilitates the shortening of the construction period of the construction road, can remarkably reduce the workload of site survey and manual design, and improves the construction efficiency. The working efficiency and benefits of line selection design are practically improved, the investment of line selection cost is reduced, use is convenient, and the degree of dependence on equipment performance is low.

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 provides a multi-agent cooperation method and system for an engineering construction project, and relates to the field of railway engineering management, and the method comprises the steps: training a railway engineering field expert model; dialogue information input by a user is processed by the expert model to generate a prompt instruction; the content perception intelligent agent generates a query statement according to the prompt instruction and returns the query statement to the expert model; the expert model calls a mixed retrieval agent for retrieval according to the query statement; the chart generation agent generates a chart according to the chart making request and returns the chart to the expert model; the data analysis agent performs data analysis according to the data analysis request and returns the data to the expert model; and integrating and outputting the retrieval result, the chart and the analysis result by the language question and answer agent. According to the method, various agents can be effectively cooperated to exert respective advantages, the retrieval speed and accuracy are improved, and a more comprehensive and understandable retrieval result can be output according to the input natural language.

The invention discloses a railway engineering implementation construction organization generation method and related components, and the method comprises the steps: building a railway engineering knowledge base which comprises a railway engineering implementation construction specification file and a historical railway engineering implementation construction organization, and carrying out the extraction of key elements through a key element extraction agent; the method comprises the steps that a directory structure is generated through a directory generation agent, and then a directory text generation agent calls related texts from a railway engineering knowledge base based on keywords in the directories to conduct text filling on all the directories in the directory structure. Related contents are extracted from a railway engineering knowledge base by calling a key element extraction agent, a directory generation agent and a directory text generation agent to perform directory generation and text filling of the railway engineering implementation construction organization, so that the compiling efficiency of the railway engineering implementation construction organization is improved; and the accuracy of semantic understanding of the large language model is relatively high, so that the accuracy of the content of the implementation construction organization of the railway engineering is ensured.

The invention discloses a cable paying-off and anchoring device and method suitable for a railway-crossing electric power line, and belongs to the technical field of railway engineering construction. The speed limiting anchoring mechanism comprises a first clamping plate and a second clamping plate which can slide relative to each other, the first clamping plate comprises a bevel groove, the bevel groove comprises a first supporting plate and a second supporting plate which are perpendicular to each other, the second clamping plate is parallel to the first supporting plate, and the second clamping plate can slide relative to the second supporting plate. The speed measuring mechanism is arranged on the rope, and the processor calculates and controls the relative distance between the first clamping plate and the second clamping plate according to the real-time speed to automatically control the pay-off speed. The cable paying-off and anchoring device and method suitable for the railway-crossing electric power line can adapt to the working environment where ground anchoring cannot be provided, stable anchoring of the cable can be achieved, accurate regulation and control of the cable paying-off speed can be achieved based on the real-time running speed of the cable, and the cable paying-off and anchoring efficiency is improved. And the cable is prevented from falling off or being damaged due to too high speed.

The invention discloses a railway engineering unfavorable geology knowledge base construction method and system, and the method comprises the steps: collecting and preprocessing multi-source railway engineering text data, and obtaining a multi-source text data set; performing knowledge extraction, knowledge fusion and knowledge processing based on the multi-source file data set; constructing a railway engineering unfavorable geology knowledge base; and carrying out user interaction design based on a railway unfavorable geology knowledge base. According to the method, unfavorable geological knowledge of railway engineering can be automatically extracted from a large amount of text data, a structured knowledge base is constructed, the knowledge base not only improves the knowledge extraction efficiency and accuracy, but also provides scientific and accurate information support for safety management and decision-making of railway engineering in the form of the knowledge graph, and the method is suitable for popularization and application. Therefore, key fault information can be better mastered for railway operation enterprises, and accurate and effective information data and technical support are provided for decision making.

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 belongs to the technical field of railway engineering mechanical equipment manufacturing, and provides a narrow body flash welding and heat treatment normalizing all-in-one machine and method.The all-in-one machine comprises a static end clamping mechanism, a movable end clamping mechanism, a pressure maintaining and overlap pushing mechanism, a normalizing assembly, a center shaft upsetting structure and a clamp balance oil cylinder; the static end clamping mechanism and the movable end clamping mechanism are distributed at the two ends of the all-in-one machine, the static end clamping mechanism and the movable end clamping mechanism are connected in a penetrating mode through a center shaft upsetting structure, and a pressure maintaining and overlap pushing mechanism and a clamp balance oil cylinder used for providing outward supporting force for a clamp are installed between the static end clamping mechanism and the movable end clamping mechanism. And a normalizing assembly combining rotary mold closing and turnover mold closing is mounted on the pressure-maintaining overlap pushing mechanism. According to the clamp balance oil cylinder, the stability of a welding machine and the straightness of a welded steel rail are improved. The bead pushing tool rest is guided by a central shaft, the rigidity of the bead pushing mechanism is increased, the normalizing assembly adopts a mode of combining rotary die assembly and turnover die assembly, and the requirement for operation in narrow space of a turnout can be met.

The utility model relates to the technical field of railway engineering, and discloses a protective net used when dismantling a bridge across a railway, comprising a crossbeam and a steel cable net installed on the pier of the bridge to be dismantled; the pier of the bridge to be dismantled is used as a fulcrum to tension the protective net under the bridge body, and the protective net can buffer and descend when it catches the falling blocks, effectively reducing the impact effect and destructive force of the falling blocks. The protective net uses the piers and pier columns of the bridge to be dismantled as pillars, making full use of existing structures, which is convenient and fast. The protective net has the characteristics of simple structure, convenient assembly, low comprehensive cost, short installation and disassembly time, etc., and provides a simple and practical device for protecting the existing railway under the bridge to be dismantled.

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 provides a three-dimensional model data visualization processing method and device for railway engineering, and relates to the technical field of data processing, and the method comprises the steps: obtaining three-dimensional model data, and obtaining attribute information corresponding to the three-dimensional model data; obtaining the number of vertexes; dividing the three-dimensional model data based on attribute information of the three-dimensional model data and the number of vertexes to obtain a plurality of target data sets; performing tiling processing on the multiple pieces of three-dimensional model data in each target data set to obtain multiple pieces of three-dimensional sub-data; and rendering all the three-dimensional sub-data based on a preset rendering engine to obtain a target three-dimensional image. According to the method, the uniform size of the tiled file is ensured by recombining the three-dimensional model data structure, so that the network transmission smoothness is improved. Meanwhile, index association is established based on the attribute information and the tiled file, and a visual management structure tree conforming to railway engineering management logic is constructed, so that the overall data processing and visualization efficiency is improved.

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, and discloses an intelligent monitoring method for continuous compaction of a railway roadbed, which comprises the following steps: step 1, setting a test section and preparing for data acquisition: dividing a test section area and installing intelligent continuous compaction equipment on a road roller, acquiring a plurality of construction parameters such as soil compaction degree, rolling times, road roller pressure, vibration frequency and environment temperature and humidity; and 2, data acquisition and transmission: acquiring the construction parameters in real time, and transmitting the data to a cloud data platform through a wireless network for storage and analysis. By means of the intelligent continuous compaction system, the quality uniformity and accuracy in the railway roadbed compaction process are improved, and the problems of pressure leakage and overpressure are avoided; the construction efficiency is improved, and the construction period is shortened; the traceability of construction quality is enhanced, and the management level is improved; manual intervention is reduced, and personal errors are reduced; data support and technical reference are provided for later maintenance and similar projects, and the method has high popularization value.

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 utility model discloses a branch pruning vehicle set, which relates to the technical field of railway engineering machinery, and comprises at least one multifunctional operating vehicle and at least one wood chopping vehicle, the multifunctional operating vehicle comprises a first whole vehicle body, the first whole vehicle body is provided with a multifunctional mechanical arm, and the multifunctional mechanical arm is used for pruning branches on two sides of a railway; the trimmed branches can be grabbed; the wood crushing vehicle comprises a second whole vehicle body, and a wood crushing mechanism, a conveying mechanism and a storage bin are sequentially arranged on the second whole vehicle body; the wood crushing mechanism is used for crushing the branches grabbed by the multifunctional mechanical arm; and the conveying mechanism is used for conveying the crushed wood chips to the storage bin for storage. The multifunctional cutting and harvesting machine integrates the functions of cutting, harvesting, cleaning and the like, can timely transport the cut trees away from the site, and achieves integrated construction equipment after work and material cleaning. The construction operation mode is optimized, and the labor intensity of operators is reduced.

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 invention belongs to the technical field of railway engineering, and particularly relates to a floating slab ballast bed connection rigidity and vibration inertia identification method which comprises the following steps: S1, determining the kinetic parameters, the number of connection nodes and the number of supporting springs of a floating slab ballast bed; s2, applying vibration working conditions of the floating slab track bed, wherein the vibration working conditions comprise the vertical vibration working condition of the floating slab track bed, the vibration working condition that the floating slab track bed rotates around the x axis and the vibration working condition that the floating slab track bed rotates around the y axis; s3, floating slab ballast bed vibration signals are collected; s4, calculating a vibration period; and S5, calculating the connection stiffness and reference inertia of the floating slab ballast bed under the conditions of different support springs and different connection nodes according to a formula. The method for synchronously obtaining the connection rigidity and the vibration inertia through the field test has important theoretical significance and engineering value for track structure design optimization, service performance evaluation and intelligent operation and maintenance.

The invention belongs to railway engineering equipment, and relates to an ejection rail collision machine which is applied to stress relief of a seamless track of a railway and longitudinal movement of a long steel rail. An ejection rail collision machine (hereinafter referred to as a rail collision machine) is composed of a rail collision machine main machine, a hydraulic pump station and a rail collision bag. The hydraulic pump station is connected with the rail collision machine through a high-pressure rubber pipe and provides power for the rail collision machine. The main body structure of the rail collision machine is composed of a machine body and a power head, wherein the square frame machine body is composed of a front machine base, a rear machine base and two machine body oil cylinders, and two opposite locking oil cylinders are positioned on the rear machine base of the machine body; the front and rear power heads, the pull rod and the spring form a sliding square frame guided by a machine body spindle hole. The rail collision machine and the rail collision bag are oppositely arranged on the same steel rail, and the rail collision bag is fastened with the steel rail through inclined iron and a positioning block. When the rail collision machine works, under the action of pressure oil of an oil pump, the rail collision machine body oil cylinder and the locking oil cylinder act in a programmed mode, the spring is compressed intermittently, elasticity is released, spring potential energy released by the rail collision machine is converted into kinetic energy of high-speed sliding of the power head, the guide rod and the spring, the rail collision bag is collided and fixed, and a steel rail is driven to move. According to the railway engineering machinery, heavy physical power is replaced by mechanization, the working efficiency is high, the labor intensity is low, operation is easy and convenient, and on-site mobile construction operation is facilitated.

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 provides a railway green performance data knowledge extraction method. The method comprises the steps of data collection and preprocessing, knowledge graph construction and data standardized storage. The method comprises the following steps: collecting and classifying key data of a full life cycle of a railway; constructing an ontology by a top-down method, extracting knowledge, and storing the knowledge in a graph database; storing the structured data based on the metadata, sorting and classifying the unstructured data, binding the unstructured data with the knowledge graph, and storing the unstructured data; according to the method, the environment-friendly degree of railway engineering can be improved, information management is optimized, the data driving force of decision support is increased, data sharing and communication are promoted, the sustainability of railway projects is improved, compliance of environmental protection rules and policies is achieved, and the timeliness and dynamic updating capacity of data are improved; not only are knowledge extraction efficiency and accuracy improved, but also monitoring and improvement of key performance indexes of the railway engineering are more scientific and systematic, and energy conservation, consumption reduction and ecological environmental protection of the railway engineering are further promoted.

The invention provides a tunnel primary support process for railway engineering, and relates to the technical field of tunnel primary support. The tunnel primary support process of the railway engineering comprises the following steps: immediately carrying out danger elimination work after tunnel excavation, then carrying out primary concrete spraying operation, carrying out mortar anchor rod or hollow anchor rod construction, laying a reinforcing mesh, carrying out steel frame construction, advanced small pipe construction, anchor rod construction and advanced pipe shed construction, immediately carrying out danger elimination after tunnel excavation, and carrying out primary concrete spraying. The rock mass can be quickly closed, relaxation deformation of the rock mass is prevented, early deformation of surrounding rock is effectively controlled, stability of the surrounding rock is enhanced, safety guarantee is provided for follow-up construction, the reinforcing mesh is laid and firmly connected with the anchor rod and the steel frame, the integrity of the supporting structure is further enhanced, and the impact resistance of the supporting structure is improved. Through auxiliary construction measures such as advanced small guide pipes and advanced pipe sheds, surrounding rock is effectively reinforced, the strength and stability of the surrounding rock are improved, the construction risk is reduced, and it is ensured that tunnel construction smoothly passes through unfavorable geological sections.

The invention discloses a geological observation point automatic pre-generation method and system, and the method comprises the steps: S1, collecting and preprocessing railway engineering data, regional geographical geological data and environment data, and extracting engineering line information and geological boundary information; s2, according to the intersection relation between the engineering line information and the geological boundary information, preliminarily generating geological observation points, and adjusting and optimizing the positions of the preliminarily generated geological observation points; and S3, acquiring attribute information of the adjusted and optimized geological observation points, and generating a geological observation point table. According to the method, the geological observation points are pre-generated, so that the working efficiency of field geological plotting is improved, and the field working pressure of geological personnel is relieved.

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.