701 results about "Railway tunnel" patented technology

The invention provides a time-space dynamic graph construction method and system for an engineering construction project, and relates to the field of railway tunnel engineering management.The method comprises the steps that construction data entities are extracted, and an entity set is generated; taking entities in the entity set as nodes to be added into the graph, and configuring attributes for each node; adding a relation edge for each node according to a logic structure between the construction data; adding a time label and a space label to each node so as to form a data graph; associating each entity in the data atlas with a time chain and a space chain to form a data atlas attached to the time-space chain; combining a node merging strategy and a graph neural network to optimize a graph structure; and dynamically modeling dimensional changes of entities and relationships in time by means of a time sequence diagram neural network. According to the method, the dynamic change graph of the relationship between the construction data entities is constructed, so that the spatial-temporal information and the entity relationship of each process are accurately expressed and efficiently associated, and the retrieval efficiency and the management level are favorably improved.

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a railway tunnel portal geological disaster deformation early warning system based on an SAR radar, and the system comprises a digital twinborn body construction module which constructs a digital twinborn body with initial parameters based on basic data; the SAR deformation monitoring module is used for acquiring SAR deformation observation data; the digital twinborn body dynamic optimization module is used for inverting and updating parameters by using an optimization algorithm based on the SAR data, and generating an optimized twinborn body; a risk prediction and key area identification module which deduces a disaster scene based on the optimized twinborn body, predicts the risk and identifies a key risk area; and the intelligent early warning module is used for generating early warning information based on the prediction risk and the key risk area. According to the method, the geomechanical digital twins are dynamically optimized by adopting the SAR data, accurate prediction, key area identification and intelligent grading early warning of the geological disaster of the railway tunnel portal are realized, and the initiative and accuracy of risk cognition and early warning are remarkably improved.

The invention discloses a railway tunnel full-life-cycle model test system and test method considering train vibration, and relates to the technical field of railway tunnel engineering. The model test system adopts modular design and comprises a box frame module, a constant-pressure loading module, an excitation system module, a seepage system module and a monitoring system module. The test method comprises the steps of physical similar model laying, constant-pressure loading control, tunnel excavation and supporting, vibration loading and data monitoring analysis. By accurately simulating an initial stress field and train vibration loads in the construction and operation stages of the tunnel, dynamic monitoring of stress strain, deformation and damage processes of the tunnel surrounding rock and the lining structure in the whole life cycle is achieved. The device has the advantages of compact structure, modular design, high loading precision and stability, real simulation and the like, and a scientific basis can be provided for the fields of performance evaluation, structure optimization, reinforcement design and the like in the whole life cycle of the railway tunnel.

The invention belongs to the technical field of waterproofing of constructional engineering, and provides a high-strength puncture-resistant railway tunnel waterproof and drainage board and a preparation method thereof.The high-strength puncture-resistant railway tunnel waterproof and drainage board is prepared from, by mass, 30-35 wt% of polyolefin elastomer POE, 40-45 wt% of high-density polyethylene and 20-30 wt% of antioxidant enhanced master batch; the antioxidant enhanced master batch is prepared from the following components in parts by weight: 6 to 8 parts of nano SiO2, 20 to 28 parts of EPDM-g-MS, 60 to 70 parts of linear low-density polyethylene, 1 to 3 parts of an antioxidant and 1 to 3 parts of an anti-ultraviolet agent. The waterproof and drainage board for the railway tunnel, provided by the invention, not only meets all properties specified in Q / CR562.3-2018, but also has more excellent tensile property and puncture resistance.

The invention discloses a railway tunnel foreign matter detection method based on radar point cloud and RGB image fusion. The method comprises the following steps: acquiring a laser radar point cloud and an RGB image in a railway tunnel; obtaining an RGB image by using an adversarial network model GAN to judge the abnormal occurrence state of the foreign matter in the railway tunnel, and if the abnormal state of the foreign matter occurs, projecting the obtained laser radar point cloud to an image plane to obtain a dense depth map; processing through a sliding window to obtain data slices which are approximately square; and carrying out data feature extraction, fusion and foreign object target detection on the data slices of the RGB image and the dense depth map by using a fusion target detection network based on the OfficientNet-FPN, and outputting a foreign object target information detection result containing a target category, a position, a confidence coefficient and a distance. According to the railway tunnel foreign matter detection method based on radar point cloud and RGB image fusion, high precision, high efficiency and high reliability of railway tunnel foreign matter detection are realized.

The invention provides a measurement mark-free section deformation resolving method for a high-speed rail tunnel, and relates to the technical field of tunnel detection. The method comprises the following steps: acquiring point cloud data of a high-speed rail tunnel, and carrying out mileage alignment on the point cloud data and datum point cloud data; performing section registration on the point cloud data and the reference point cloud data; establishing a corresponding relation of two periods of point cloud data through a nearest neighbor point of any point position in the datum point cloud data, and setting a displacement difference threshold value and an intensity grading threshold value of a point pair based on the corresponding relation; performing clustering analysis on the point clouds exceeding the displacement difference threshold value or the intensity grading threshold value based on a target clustering algorithm, and generating a potential deformation area continuous mask; the potential deformation area continuous mask represents the area where the high-speed rail tunnel has diseases. According to the method, the detection efficiency and the detection accuracy of high-speed rail tunnel deformation detection can be improved.

The invention discloses a method for analyzing the influence of railway tunnel construction on urban underground water, which belongs to the field of railway tunnel construction and comprises the following steps: S1, acquiring and preprocessing multi-source data; s2, constructing a geology-hydrology-construction-remote sensing multi-dimensional feature vector, and extracting an underground water disturbance index; s3, establishing a stress-seepage-heat conduction three-field coupling model; s4, analyzing a three-field coupling effect based on the three-field coupling model, and outputting a comprehensive risk level of the influence of tunnel construction on underground water; s5, fusing a comprehensive risk level by utilizing a GIS spatial analysis function, and combining real-time data to realize spatial visualization and graded early warning of underground water influence; and S6, geological parameters of the three-field coupling model are updated in real time, and an optimal construction parameter combination is searched. By adopting the method for analyzing the influence of the railway tunnel construction on the urban underground water, the scientificity and engineering practicability of analyzing the influence of the railway tunnel construction on the urban underground water are remarkably improved.

The invention relates to a railway tunnel portal safety state detection method, system, device, medium and program, and the method comprises the steps: carrying out the two-dimensional data collection of a railway tunnel portal to obtain a tunnel portal image, and carrying out the three-dimensional data collection of the railway tunnel portal to obtain a tunnel portal point cloud; performing multi-layer target feature detection and two-dimensional target labeling on the tunnel portal image to obtain a two-dimensional detection result; performing point cloud denoising and spatial voting clustering on the tunnel portal point cloud to obtain a primary point cloud class group; performing bounding box detection and three-dimensional target labeling on the tunnel portal point cloud according to the primary point cloud class group to obtain a three-dimensional detection result; and performing detection target alignment and scene modeling on the two-dimensional detection result and the three-dimensional detection result to obtain a standard detection result, and performing safety analysis on the standard detection result to obtain the tunnel portal safety state, thereby improving the efficiency of the tunnel portal safety state.

The invention relates to a railway tunnel lining disease detection and evaluation method based on anchor-frame-free instance segmentation, and belongs to the technical field of railway tunnel disease detection and evaluation. The method comprises the steps that firstly, marked railway tunnel lining disease data sets based on ground penetrating radar images are manufactured, a training set, a verification set and a test set are divided according to the proportion, and the images of all the data sets are not repeated; then, building a model based on deep learning, and carrying out iteration on model parameters through the training set to obtain a training result; thirdly, evaluating a result obtained by training through a verification set, and evaluating the reasoning speed of the training model through a test set; and finally, calculating the minimum length of the disease based on an image processing technology and an optimization algorithm, and evaluating the degradation level of the tunnel. According to the method, the ground penetrating radar image is used as a data source, the category and contour of the tunnel lining disease are output through the deep learning model, the tunnel degradation grade is evaluated, and compared with existing manual inspection, the working efficiency and accuracy are greatly improved.

The invention discloses a fire equipment management method and system based on a railway tunnel fire-fighting monitoring system, and relates to the technical field of tunnel fire fighting, and the system comprises a fire-fighting monitoring module which is used for collecting multi-dimensional state data of fire equipment in real time; the redundant data processing module adopts a hot standby redundancy mechanism and is used for analyzing and processing the multi-dimensional state data of the fire equipment in real time and generating a fire risk assessment report; an emergency scheduling plan is called based on the fire risk assessment report, and an execution instruction is generated and issued to the execution module; the execution module is used for controlling fire equipment to work according to the execution instruction; and the data display module is used for displaying the multi-dimensional state data, the fire risk assessment report and the emergency scheduling plan of the fire equipment in real time. According to the invention, potential safety hazards can be found earlier, early warning of fire risks is realized, the accuracy and timeliness of fire warning can be obviously improved, and thus precious time is won for taking effective prevention measures.

The invention provides a tunnel health monitoring method based on distributed optical fiber sensing, and relates to the technical field of tunnel engineering health monitoring, and the method comprises the steps: carrying out the risk assessment of a tunnel through employing an analytic hierarchy process, setting a differential optical fiber laying scheme according to an assessment result, and laying distributed optical fiber sensors on the inner surface of a tunnel lining; the method comprises the following steps: acquiring original strain data through Brillouin optical time domain analysis, and preprocessing by using a moving average filtering algorithm; building a finite element model based on actual physical data of the tunnel, inverting strain data into full-field node displacement, and obtaining a complete strain tensor of a finite element unit; performing unit-level strain state evaluation, time sequence trend risk evaluation and spatial clustering risk evaluation to obtain a comprehensive risk value; and setting a dynamic evaluation threshold interval, and completing tunnel accurate region health evaluation. Accurate monitoring and risk assessment of the tunnel health state are achieved, and the method can be widely applied to the field of safety monitoring of highway and railway tunnels.

The invention discloses a high-speed rail tunnel communication sensing integrated information transmission method based on a movable antenna, and belongs to the technical field of wireless communication, and the method comprises the steps: constructing a high-speed rail tunnel communication sensing integrated system architecture assisted by the movable antenna for a high-speed rail tunnel scene, and designing an information transmission protocol; mathematical modeling is carried out according to movable antenna model features and tunnel scene channel features, a communication transmission model and a sensing transmission model are fused, and a communication and sensing integrated information transmission model is established. Aiming at the problems that the communication stability is limited and spectrum resources are deficient in a tunnel scene, a movable antenna and communication sensing integrated technology is adopted, dual-function coordination of base station communication and radar sensing in the tunnel is realized, and the spectrum utilization rate is improved and the total communication transmission rate of a train is maximized on the premise of meeting a sensing interference power threshold value.

The invention provides an operation railway tunnel lining crack repairing method and repairing system, and aims to solve the problems of low repairing quality and low construction efficiency in the prior art. According to the method, tunnel cracks are accurately detected through a laser scanner and an ultrasonic imager, the cracks are classified in combination with a data processing system, proper repairing materials are selected, and intelligent spraying, intelligent grouting and reinforcing devices are adopted for filling and repairing. Meanwhile, real-time monitoring and reinforcing of the repairing quality are achieved through the micro crack sensor and the remote monitoring system, and stability and long-term effectiveness after repairing are ensured.

The invention relates to the field of railway tunnel construction, in particular to an unsymmetrical soft rock large-deformation tunnel supporting structure system and a construction method thereof. Comprising the steps of 1, establishing a primary support deformation database; 2, selecting different positions to reserve deformation characteristic values; thirdly, a primary support section is independently designed; fourthly, primary support construction is independently designed; step 5, performing section construction at the initial stage of the original design; sixthly, compensation grouting is conducted; and seventhly, secondary lining construction is conducted, the first step to the seventh step are repeated for multiple times, and the large deformation section of the soft rock is biased. The problem of repeated arch changing treatment of the soft rock bias tunnel can be prevented and reduced, the situation that when the tunnel primary support deforms, the whole section is synchronously enlarged, and secondary lining concrete in part of a section is seriously overconsumed is avoided, the construction efficiency is improved, and the cost is saved.

The invention particularly discloses a time-space design method for a railway tunnel active support rock anchoring and shotcreting synergistic effect considering a time-space effect, and relates to the technical field of civil engineering. The method comprises the steps that firstly, expression characteristics of the load time effect, the material time effect, the tunnel face space effect and the rock anchor bearing arch space effect of active supporting are determined, a space-time effect characterization method is established, and then a tunnel active supporting rock anchor and shotcrete synergistic effect space-time calculation model is constructed; then determining calculation parameters of a rock anchor bearing arch and a sprayed concrete layer, and constructing a surrounding rock pressure calculation method and a safety evaluation method considering the advance support effect; and finally, according to a calculation result of the tunnel active support rock anchoring and shotcreting synergistic effect space-time calculation model, safety is judged, and design parameters of a pre-stressed anchor rod and shotcreting concrete are determined. The method can simply, quickly and accurately calculate the internal force distribution and safety of the tunnel rock anchor bearing arch and the sprayed concrete layer under different time, geological conditions and support design parameters, and has good engineering value.

The invention provides a lightweight intelligent detection device and method for railway tunnel lining diseases, and the method comprises the following steps: detecting the internal structure of a detected tunnel lining, and constructing a tunnel lining finite element model according to a detection result; marking injury points in the tunnel lining according to a detection result to obtain positions of the internal injury points; constructing a disease detection model according to the position of the internal disease and periodically acquired lining inner wall surface image data; and detecting tunnel lining diseases by using the disease detection model. According to the lightweight intelligent detection device and method for the railway tunnel lining diseases, accurate putting of detection resources is achieved, the high-risk disease detection rate is increased to 95% +, and meanwhile the lightweight characteristic (lt; 25MB model), and provides intelligent decision support for safe operation and maintenance of the railway tunnel.

The invention provides a railway tunnel construction safety risk management and control comprehensive early warning method based on controllability. The method comprises the following steps: constructing a railway tunnel construction safety risk management and control comprehensive early warning platform; the railway tunnel construction safety risk management and control comprehensive early warning platform comprises a construction safety risk state evaluation module based on monitoring measurement, a safety risk management and control level evaluation module based on hidden danger investigation and a safety risk management and control comprehensive early warning evaluation module based on correlation analysis. According to the method, on the basis of risk identification and risk assessment, the view of improving the safety risk management and control level is focused on, and on the basis of collecting normal operation data of safety management work of a construction site, a safety risk comprehensive early warning decision model based on risk controllability is constructed; problems and deficiencies in construction safety risk management are found in time and early warning is carried out, potential safety hazards are eliminated fundamentally, accidents are prevented, and decision support is provided for formulating a more targeted risk grading management and control scheme.

The embodiment of the invention relates to the technical field of railway safety, and discloses a heavy haul railway tunnel portal safety state monitoring system, which comprises an optical fiber monitoring module, a video monitoring module, a radar monitoring module and a processor, and is characterized in that the optical fiber monitoring module, the video monitoring module and the radar monitoring module are respectively connected with the processor; the optical fiber monitoring module adopts a defense area type vibration optical fiber and is used for acquiring an optical signal of a first monitoring protection area in real time; the video monitoring module comprises a plurality of video monitoring cameras, and the plurality of video monitoring cameras are arranged along the heavy haul railway, are associated with each defense area and are used for acquiring image data; the radar monitoring module comprises at least one laser radar and is used for acquiring three-dimensional point cloud data of a second monitoring protection area; and the processor is used for realizing safety state monitoring according to the optical signal, the image data and the three-dimensional point cloud data. Optical signals, image data and three-dimensional point cloud data are fused, real-time monitoring and alarming of the heavy haul railway tunnel portal are achieved, and railway operation safety is improved.

The invention discloses a component-level digital twin railway tunnel engineering three-dimensional model three-dimensional tile conversion method, which comprises the following steps: opening a tunnel BIM model file, and obtaining external setting parameters, artificial constraint parameters and model information to generate triangular mesh model data; establishing an association relationship between the semantic attribute information and the triangular mesh model, and mapping one by one to obtain LOD4 hierarchical model data; screening and cleaning the semantics, and removing a specified component to obtain LLO3 hierarchical model data; obtaining a maximum outer bounding box fitting elliptic cylinder of the tunnel model, and performing similar block replacement to obtain LOD2 hierarchical model data; the method comprises the following steps: traversing sprayed concrete members according to a line trend sequence to obtain coordinates of geometric center points of bounding boxes of the sprayed concrete members, and forming an ordered point set fitting line as an LOD1 hierarchical model; performing format conversion on the LOD models of different hierarchies, and finally organizing the LOD models into a tree structure to form three-dimensional tile structure data; the method is simple and high in execution efficiency.

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 belongs to the technical field of tunnel construction detection, and discloses a high-speed rail tunnel construction undercut detection method and device and a computer program product in order to solve the problems of large workload and low data acquisition efficiency in the prior art. The laser can be directly scanned by a laser scanner without point-by-point measurement, so that the workload is reduced, and the detection efficiency is improved; meanwhile, the geometric state of the tunnel can be reflected by the three-dimensional point cloud data, and an accurate construction excavation section can be constructed during detection, so that the detection accuracy can be ensured; on the basis, the invention provides a tunnel under-excavation detection mode which is high in efficiency, low in workload and high in precision, so that the tunnel under-excavation detection method is very suitable for large-scale application and popularization.

The invention relates to a railway tunnel construction crack detection method based on machine vision, which is applied to the field of tunnel detection, and comprises the following steps: marking a crack by using the flight coordinate of an inspection unmanned aerial vehicle body on the basis of the existing unmanned aerial vehicle detection, and then controlling the inspection unmanned aerial vehicle body to approach and confirm; then, the marking bomb is ejected to the crack in a manual control mode, so that visual marking is carried out, researchers can know crack information through data and can rapidly and accurately find the crack through marking to carry out field research and analysis, and therefore the detection efficiency and accuracy are effectively improved; in addition, the method can effectively avoid defects of inspection robots for top lining detection in the prior art, and effectively reduce interference of factors such as distance, dust and vibration.

The invention belongs to the field of railway tunnels, and particularly relates to a tunnel advanced pre-grouting method which comprises the following steps: forming grouting holes in a tunnel; positioning a grouting consolidation outer edge line; treating a grouting hole; drilling a grouting hole and grouting; selecting a grouting material and pressure; the grouting effect is checked; grouting holes are blocked; and the drilling arrangement and the hole number are adjusted and optimized. The method has the advantages of simple process, high pertinence, good water stopping effect and the like for fault fracture zones and sections with higher predicted water pressure and serious water inrush and mud inrush which are likely to occur.

The invention relates to the technical field of civil engineering, and particularly discloses a railway tunnel high-performance active support system design method considering a space-time effect, which comprises the following steps: S1, establishing a tunnel early-strength and high-strength sprayed concrete layer calculation model; s2, determining calculation parameters required by the sprayed layer calculation model according to the tunnel early-high-strength sprayed concrete layer calculation model; s3, influence factors of surrounding rock deformation pressure borne by the tunnel early-strength and high-strength sprayed concrete layer are determined; s4, establishing a surrounding rock deformation pressure calculation method of the tunnel early-strength and high-strength sprayed concrete layer considering the surrounding rock level; and S5, establishing a surrounding rock deformation pressure calculation method of the tunnel early-strength and high-strength sprayed concrete layer considering the rock mass quality index. By adopting the railway tunnel high-performance active support system design method considering the space-time effect, the safety of the tunnel early-strength and high-strength sprayed concrete layer under different time, geological conditions, construction levels and support design parameters can be simply, quickly and accurately calculated.

The invention relates to a flame-retardant railway tunnel EVA waterproof board with a smoke suppression effect and a preparation method thereof. The EVA waterproof board comprises the following components in percentage by weight: 35-37% of waterproof board EVA composite resin particles, 4-11% of high-density polyethylene, 16-17% of linear low-density polyethylene and 35-45% of flame-retardant master batch. Wherein the flame-retardant master batch is obtained by extruding and granulating a blend of high-density polyethylene and a flame retardant, the flame retardant is obtained by performing surface coating modification on CTAB (ADP) by adopting gamma-aminopropyltriethoxysilane and vinyltriethoxysilane, and the CTAB (ADP) is obtained by coating the surface of CTAB with the modified ADP. On the premise of meeting the required mechanical property, the EVA waterproof plate can reach the flame retardant standard B1 grade of a building material, and the smoke yield is low.

The utility model relates to the field of telescopic booms, in particular to a double-rotation telescopic boom which comprises a boom body, the boom body comprises a big arm rotation seat, a big arm, a small arm rotation seat and a small arm, the big arm is connected with a big arm lifting oil cylinder, the small arm is connected with a small arm lifting oil cylinder, the small arm is connected with a rotation speed reducer, and the rotation speed reducer is connected with the small arm rotation seat. An oil cylinder pin shaft is connected between the arm support body and the large arm lifting oil cylinder, the small arm comprises a small arm outer sleeve and a small arm inner sleeve, a sliding block frame is arranged between the small arm outer sleeve and the small arm inner sleeve, and the small arm is connected with a telescopic oil cylinder. All the joints move flexibly, the small arm can rotate by 360 degrees, the space can be greatly saved when the trolley is folded, the working range between the small arm and the large arm is minus 70 degrees to 10 degrees, and the two-step construction working condition is met.

The invention provides a low-frequency excitation and high-frequency impact coupled void lining test device and method, and belongs to the technical field of tunnel instability monitoring, and the device comprises a lining loading system, a low-frequency excitation system and a high-frequency impact system. The loading mechanism simulates the surrounding rock load borne by the lining in the circumferential direction, and the surrounding rock load borne by the lining can be simulated by adjusting parameters such as the magnitude and the direction of loading force. The vibration exciter is matched with the power amplifier, low-frequency and high-amplitude vibration matched with the axle load characteristics of the train can be generated, and the fatigue damage effect on the lining caused by long-term running of the train is simulated. When the electric detacher controls the drop hammer to be separated from the truss and fall freely, high-frequency transient impact force can be generated, and the transient load effect of a lining impacted by falling rocks is simulated. According to the test device, through multi-physics field coupling loading, the problems that a void lining damage mechanism is unclear and prediction means are deficient are solved, a complete technical chain is provided for railway tunnel structure safety, and the test device has academic value and engineering popularization significance.

The utility model discloses a high-speed rail tunnel cleaning vehicle which comprises a flatcar arranged on a rail, a cleaning mechanism, a driving mechanism and a dirt storage mechanism are arranged at the top of the flatcar, and a dust collection mechanism is arranged at the bottom of the flatcar. According to the tunnel cleaning device, the top face cleaning assembly is used in cooperation with the high-pressure water power cabin, the inner top face of a tunnel can be cleaned, the side face cleaning assembly is used in cooperation with the high-pressure water power cabin, the two side faces in the tunnel can be cleaned, and the bottom face cleaning assembly is used in cooperation with the high-pressure water power cabin, so that the inner bottom face of the tunnel can be cleaned; further, the interior of the tunnel is cleaned in all directions, so that the sight of a driver is guaranteed, and the riding comfort of passengers is improved; through cooperative use of the dust collection mechanism and the dust collection power cabin, dust and dirt collection and cleaning operation can be conducted on a ballast bed, a steel rail, a cable trench and the like, then secondary pollution caused by dirt generated when the cleaning mechanism conducts flushing on the ballast bed, the steel rail, the cable trench and the like is effectively avoided, and therefore the tunnel cleaning effect can be improved.

The invention discloses a self-adaptive railway tunnel pulverized coal cleaning filter screen replacement device, which relates to the technical field of filter screen replacement, and comprises a cleaning box, an automatic replacement mechanism, a filter screen replacement mechanism and a control system, the device is used for self-adaptively triggering the replacement process in the pulverized coal cleaning process and automatically overturning and replacing a screen plate, through arrangement of an automatic replacement mechanism and mutual cooperation of a special-shaped groove and an S-shaped rotating plate, a new filter screen body and an old filter screen body are replaced, accurate positioning is achieved through a mother magnet ring and a son magnet ring, and the replacement efficiency is improved. A U-shaped groove in the special-shaped groove extrudes a convex block of a convex block rotating disc, the convex block rotating disc and a rotating rod can be driven to rotate by a half circle, so that an S-shaped rotating plate rotates by a half circle, a servo motor is turned off in the rotating process, the convex block rotating disc is prevented from generating displacement due to rotation inertia, and the replacement accuracy can be further improved; therefore, the replacement accuracy and speed are ensured while the cost is reduced.

The invention provides a control method and system for a whole vehicle railway tunnel dust removal device, and relates to the technical field of railway equipment control, and the method comprises the steps: carrying out the real-time monitoring of a horizontal conveying belt of the railway tunnel dust removal device, and obtaining a real-time driving current sequence; acquiring electromagnetic disturbance information, determining an electromagnetic disturbance quantity when the real-time current is monitored according to the electromagnetic disturbance information, and compensating the real-time driving current sequence according to the electromagnetic disturbance quantity so as to obtain a driving current compensation sequence; determining a current divergence coefficient of the driving current compensation sequence, converting the driving current compensation sequence into a current limit and control domain of the horizontal conveying belt, and determining the current change responsivity of the horizontal conveying belt according to the current divergence coefficient and the current limit and control domain; the operation speed of the horizontal conveying belt is regulated and controlled based on the current change responsivity, the operation speed of the horizontal conveying belt can be controlled according to the current of the horizontal conveying belt driving motor, and therefore the safety of the railway tunnel dust removal device in the operation process is improved.