66 results about "Track geometry" patented technology

The invention discloses a thunder-vision fusion multi-sensor collaborative sensing system along a railway and an installation and calibration method, and belongs to the technical field of intelligent traffic and environment sensing. Aiming at the problems of low target detection precision, poor multi-source data fusion timeliness, dependence on manpower on sensor installation and calibration and the like in a complex scene along a railway, the system provides an innovative architecture of'layered sensing-dynamic fusion-autonomous calibration '. The multi-modal sensor array of a laser radar, a millimeter-wave radar, a visible light camera and a thermal infrared imager is deployed; autonomous optimization of sensor pose parameters is realized by using track geometric constraint and a deep learning model; an edge computing node and a cloud collaboration platform are integrated, and real-time target tracking, intrusion early warning and equipment state diagnosis are supported. Experiments show that the target detection accuracy rate of the system is greater than or equal to 98.5%, the false alarm rate is less than or equal to 0.3% and the self-calibration error of sensor installation parameters is less than 0.05 degree in the scenes of rain and fog, night, high-speed movement and the like, which are improved by more than 40% compared with the traditional scheme.

The invention discloses a multifunctional modularized track comprehensive detection system, which relates to the technical field of track detection, takes a lightweight moving trolley as a carrier, and integrates a system body, a positioning module, six multifunctional detection modules and a data processing module, and the system body is used for providing a walking platform, power supply and operation control. Control and synchronization of different function detection modules are realized through differential pulse signals; the positioning module is used for realizing position alignment of module data in the system; the multifunctional detection module covers visual inspection, track geometric parameter detection, steel rail profile detection, steel rail crawling displacement detection, turnout area detection and high-precision fastener detection; and the data processing module is used for processing the multi-source detection data and outputting a detection result and a maintenance suggestion. The problems that traditional equipment is single in function, low in detection efficiency and accuracy, high in manpower dependence and poor in data collaboration are solved, and scientificity and efficiency of track maintenance are improved.

The invention provides a train positioning method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: constructing a multi-objective optimization model; the multi-objective optimization model comprises a first objective function taking GNSS positioning error minimization as a target, a second objective function taking INS accumulative error minimization as a target, a third objective function taking INS attitude error minimization as a target and constraint conditions; the constraint conditions comprise a GNSS error boundary constraint condition, an INS error boundary constraint condition and a track geometric polynomial constraint condition, and the track geometric polynomial constraint condition is used for constraining that the position deviation of the train position obtained through current optimization is smaller than or equal to a preset deviation value; and performing optimization solution on the multi-objective optimization model by adopting a differential evolution algorithm to obtain optimal train position and attitude information. According to the invention, the positioning precision and reliability of the train in a complex environment can be improved, and the real-time requirement of train positioning is met.

Described herein are techniques for determining motion characteristics of trains traveling along a train track. In some embodiments, a processor may determine an estimated position of a train using an observed position obtained using one or more UWB antennas and an observed position obtained using one or more GNSS receivers. In some embodiments, a processor may access information specifying a geometry of a train track and determining the position of a train along the train track using an observed position determined using one or more UWB antennas and / or GNSS receiver(s) and the information specifying the geometry of the train track. In some embodiments, a processor may determine estimated positions of a train using the geometry of the train track and at least one observation of the train obtained using one or more positioning devices and select the position of the train from among the estimated positions.

The invention relates to the technical field of train aided driving control, and discloses a train aided driving control method and system based on four-eye vision. The method comprises the steps that a forward four-eye camera array is used for synchronously collecting a front track image sequence, multi-scale feature synchronous extraction is carried out, and a unified sensing data block containing track geometry, identification semantics and an obstacle contour form is directly generated. On the basis, a space-time probability distribution diagram of collision threats is generated by constructing a virtual track reference surface and analyzing the spatial relationship between the dynamic target and the virtual track reference surface, so that the upgrading from discrete alarm to continuous risk prediction is realized. A preliminary control instruction is generated by combining speed limiting constraint and system deduction, then the instruction is cooperatively adjusted by combining the real-time traction braking state and a load signal of a train, and finally an executable closed-loop control instruction set is output. According to the method, the efficiency of environment perception and the perspectiveness and accuracy of decision control are improved.

The application provides a geometric position real-time correction method and system for railway ballastless track construction, and relates to the technical field of track construction. The method comprises: analyzing the design coordinates of the railway ballastless track, and dividing the construction line; extracting the geometric position gradient period of the pouring construction; anchoring the target monitoring feature space-time distribution of each time sequence stage; connecting the monitoring equipment for corresponding pouring state monitoring by taking the space-time monitoring feature chain as the regulation and control activation demand of the time sequence period; analyzing the geometric position correction parameters based on the monitoring state data to generate correction regulation and control information, and performing real-time correction control on the geometric position. The application solves the technical problem that the existing technology lacks recognition of the dynamic evolution of the track geometric position in the concrete pouring process, resulting in a mismatch between the correction opportunity and the material physical state, and further affecting the construction efficiency of the railway ballastless track. The correction is changed from post-correction to process adaptive regulation and control, and the forming quality and construction efficiency are improved.

1. The name of the design product: track detector. 2. The use of the design product: for track geometry detection. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

This invention relates to the field of solid deformation monitoring technology, specifically to an automated track geometry monitoring system and method. The method includes: determining the deformation significance of each monitoring point at the current acquisition time based on pre-acquired lateral and longitudinal displacements; segmenting the track to be monitored; determining the deformation gradient dispersion rate within each segment based on the deformation significance and the bridge / culvert jacking distance; determining the deformation differences between segments; determining local deformation parameters based on the inter-segment deformation differences and the bridge / culvert jacking distance; thereby performing real-time monitoring of track geometry deviations for each monitored segment to achieve automated track geometry monitoring. This invention, by analyzing the deformation at different monitoring points, achieves real-time monitoring of track geometry deviations in monitored segments and improves the rationality of track geometry deviation monitoring, thus enhancing the overall rationality of track geometry monitoring.

According to the line dynamic equivalent conicity measuring system and method, detection beams are arranged on axle boxes on the left side and the right side of a vehicle respectively, speed sensors and laser sensors are arranged on the detection beams, the speed sensors are used for detecting vehicle speed signals, and the laser sensors are used for dynamically scanning the profile of a steel rail; the controller matches the speed signal with the laser contour data and sends the speed signal and the laser contour data to an upper computer, and the upper computer obtains a line dynamic equivalent taper curve through calculation; high-precision, continuous and dynamic monitoring on the geometric state of the track under the normal operation condition of a train is realized.

This utility model discloses a novel prestressed concrete railway sleeper, comprising a sleeper body laid on the railway track bed, a reinforcing cage inside the sleeper body for increasing strength, two diagonally distributed "J"-shaped pre-embedded bolt assemblies located inside the sleeper body and extending upwards to both sides of the rail mounting position, two diagonally distributed fixing holes on the upper surface of the sleeper body located on both sides of the rail mounting position, a steel base fixed to the upper surface of the sleeper body by the pre-embedded bolt assemblies, and a steel pad installed on the upper end of the steel base through the fixing holes. This novel prestressed concrete railway sleeper effectively improves the track geometry retention capacity and load-bearing strength of the sleeper body; moreover, the two-layer steel plate structure has suitable deformation capacity, attenuating the impact energy transmitted to the concrete sleeper, greatly reducing the ballast pulverization rate, and ensuring safe vehicle operation.

The invention relates to a method for tamping sleepers (5) of a track (3) using a tamping unit (7) with several pairs of tamping arms (17) arranged side by side, wherein the tamping picks (12) of each pair of tamping arms (17) are immersed in a ballast bed (4) on both sides of a sleeper (5) and aligned relative to each other by means of an adjusting cylinder (18) by applying an adjusting pressure (p). In a track curve, a control unit (20) automatically sets different adjusting pressures (p) for at least two of the adjacent pairs of tamping arms (17) depending on a superelevation (u) of the track (3) or a proportional value thereto. In this way, optimized properties are achieved for the compacted ballast bed (4), so that uneven loads on the track (3) do not cause premature or uneven deterioration of the track geometry.

The present application belongs to the technical field of traffic track detection, and particularly relates to a locomotive external track geometric position detection device and a detection method. The method comprises the following steps: real-time acquisition of the lateral acceleration and vertical acceleration of the vehicle and comparison with the corresponding preset threshold values, respectively, when any acceleration exceeds the threshold value, determination of excessive vibration interference; when the vibration interference is excessive, acquisition of the geometric appearance of the track, the distance information of the track relative to the vehicle, the position information of the vehicle and the motion state of the vehicle; based on the geometric appearance of the track, the distance information of the track relative to the vehicle, the position information of the vehicle and the motion state of the vehicle, real-time track gauge calculation, track horizontal calculation, track height calculation and triangular pit calculation of the vehicle are carried out to obtain the dynamic geometric position parameters of the track. The method realizes on-demand detection, avoids data redundancy, improves detection pertinence and resource utilization, and is suitable for accurate identification and normal operation and maintenance of track disease sections.

The invention discloses a tunnel-rail cooperative detection method and system based on multi-source data fusion. The method comprises the following steps: acquiring tunnel three-dimensional point cloud data and track geometric data at the same mileage section; preprocessing the tunnel three-dimensional point cloud data and the track geometric data, and uniformly converting the tunnel three-dimensional point cloud data and the track geometric data into a track plane coordinate system in combination with the space attitude information to obtain a section fusion point cloud; calculating the minimum space distance from each evaluation reference point to the surface of the tunnel structure in the section fusion point cloud, and generating a safety space map continuously distributed along the mileage of the line; and calculating a real-time safety margin according to the safety space map, and outputting a tunnel-rail collaborative evaluation result in combination with the deformation characteristics of the rail and the tunnel. According to the invention, the transformation from discrete detection to integrated perception of the railway tunnel infrastructure and from over-limit alarm to intelligent diagnosis can be realized, and the operation and maintenance efficiency, accuracy and safety are significantly improved.

The invention provides an intelligent rail smoothness adjusting method and system based on dynamic detection and big data analysis, and belongs to the technical field of railway engineering maintenance. The method comprises the steps that track geometric data, vehicle dynamics response data and environment data are collected in real time through a multi-dimensional sensor array installed on an operating train; uploading the data to a cloud big data platform for fusion and deep mining, constructing a track state degradation prediction model by using a machine learning algorithm, and accurately predicting the development trend of track irregularity; and based on the prediction result, automatically generating a targeted track fine adjustment scheme, and issuing the scheme to an intelligent maintenance robot deployed on the line or guiding a manual maintenance team. The system comprises a data acquisition layer, a cloud analysis layer and an intelligent execution layer. According to the method, the change of the track state from'regular maintenance 'to'predictive maintenance' is realized, the maintenance efficiency, the precision and the line smoothness are remarkably improved, and the maintenance cost of the whole life cycle is reduced.

The application discloses a track geometry large value overrun monitoring method and device, and relates to the field of track geometry large value overrun monitoring.The method comprises the following steps: establishing a wheel-rail interaction model of an operation vehicle and a target track according to target track and operation vehicle design parameters; establishing a correlation between different speed levels of the operation vehicle and a vertical acceleration threshold value of a frame and a vertical displacement threshold value of the frame; determining a target vertical acceleration threshold value of the frame and a target vertical displacement threshold value of the frame at a speed level corresponding to a vehicle speed of a target operation vehicle of the target track; and issuing an alarm information of a track geometry large value overrun event of the target track when a target vertical acceleration of the frame of the operation vehicle is greater than or equal to the target vertical acceleration threshold value of the frame and a target vertical displacement of the frame of the operation vehicle is greater than or equal to the target vertical displacement threshold value of the frame.The application is used to improve the efficiency and accuracy of track geometry large value overrun monitoring.

The utility model discloses a spherical steel support with a lateral bouncing function. The spherical steel support comprises an upper support plate assembly, a spherical crown assembly, a plane sliding plate, a spherical sliding plate, a lateral bouncing assembly, a lateral sliding plate and a lower support plate assembly. The side elastic assembly comprises a fixing block, a fixing bolt, a plate spring and a limiting shaft. One end of the plate spring is fixedly installed between the two fixing blocks, and the other end is inserted into the upper seat plate guide rail opening. When the upper seat plate slides, the plate spring is driven to be deformed and stressed, so that the plate spring has certain rigidity in the sliding direction. When the plate spring deforms by a certain value, the elastic force is enough to overcome the friction resistance of the same bridge relative supports, so that the adjacent pier supports are driven to slide, the beam body freely and symmetrically stretches and deforms from the midspan to the two sides, and the device has the advantages of simple structure, easiness in processing and maintenance and the like. Relates to the technical field of bridge construction, and solves the problems that the manufacturing and laying process of a steel rail telescopic regulator and a curve is complicated, and the geometric shape and position of a track are difficult to maintain in operation.

A forward monitoring device includes a map information storage unit that stores track information representing a location and a track geometry of a track, a train information acquisition unit that obtains train location information on a train, and an interceptor presence-absence determination unit that determines, based on the track information, the train location information, and interceptor candidate information, whether there is an interceptor between the train and a first monitoring scope, when the forward monitoring device monitors an obstacle on the track in the first monitoring scope, the interceptor being not the obstacle, the interceptor blocking a view of the first monitoring scope from the train, the interceptor candidate information indicating candidates for the interceptor that blocks a view from the train, the first monitoring scope including a spot on the track at a first distance from the train along the track in the travelling direction of the train.

This invention relates to the field of mobile track geometry state detection technology, and discloses a real-time track state detection method based on multi-sensor fusion and dynamic compensation. It collects multi-source synchronous data from a global navigation satellite system receiver, inertial measurement unit, and laser profilometer mounted on the vehicle body, as well as accelerometers mounted on the bogie, and performs time synchronization and coordinate system unification. Through dynamic error correction and extended Kalman filtering fusion, it achieves high-precision estimation of vehicle attitude, velocity, and position. First-level point cloud motion compensation eliminates spatial distortion caused by the rigid body motion of the vehicle itself on the point cloud collected by the laser profilometer. Second-level point cloud motion compensation eliminates residual geometric errors caused by high-frequency vibration of the bogie. Finally, track geometric parameters are extracted and smoothness analysis is performed. This invention achieves high-precision reconstruction of track point clouds, providing technical support for real-time, high-precision track state monitoring on operating trains.

The invention relates to the technical field of track measurement data automation, in particular to a split-screen communication system and method for a track geometric state measuring instrument, and the system comprises a data collection module, a wireless transmission module, a main control module, a double-side display module, a voice broadcast module, and a power supply module. The method has the beneficial effects that a traditional manual dictation transfer mode is abandoned, the problem of data distortion caused by noise interference and expression deviation is thoroughly avoided through full-process automation of data acquisition, transmission and processing and matching with CRC32 verification and abnormal value filtering technologies, the parameter transmission accuracy reaches 100%, secondary rework is completely eradicated, the track fine adjustment precision stably meets the millimeter-level standard, and the production efficiency is greatly improved. The method is obviously superior to the existing manual cooperation mode.

The invention provides a high-speed railway multi-professional data unified registration method and device based on visual features, and relates to the technical field of railway infrastructure operation, maintenance and detection, and the method comprises the steps: obtaining multi-source data; respectively extracting facility feature points from the geometric one-dimensional data of the track and the one-dimensional data of the overhead line system, and outputting the category and mileage position of the facility through identification processing; image facility feature points are detected from line-scan digital camera image data, facility categories and image pixel coordinates are output through detection, and a unified coordinate system is constructed based on the image pixel coordinates; grouping according to facility types, and matching the track inspection facility feature points with the image facility points and matching the network inspection facility points with the image facility points to obtain matching results; and piecewise linear spreading is carried out between adjacent matching pairs, a monotonous mileage-to-image pixel mapping function is generated according to a mileage-to-image pixel mapping relation, multi-source data is mapped to a unified coordinate system, and a registration result is obtained.

The invention belongs to the technical field of railway infrastructure detection and positioning, and particularly relates to a railway sleeper level positioning method based on multi-cascade self-adaptive fusion, which comprises the following steps: S1, fusing data of a high-frequency inertial measurement unit and a speedometer through a primary fusion layer, and carrying out motion constraint optimization in combination with track geometric parameters detected in real time, so as to obtain a final fusion layer; generating a relative track with high continuity; s2, dynamically comparing the track geometric feature sequence detected in real time with a pre-stored line design database through an intermediate fusion layer, identifying matched feature segments, and performing local deviation correction on the relative track; and S3, automatically identifying the geometric reference point associated with the CP III control point in the real-time track geometric data through the advanced fusion layer. According to the invention, continuous, stable and high-precision sleeper-level absolute positioning under full-road-section and GNSS-free conditions can be realized, and the robustness of the system under sensor abnormity or environmental disturbance is improved through an adaptive mechanism.

The present application relates to the field of transportation, and particularly relates to a dynamic estimation method and device for fine adjustment operation of high-speed railway ballastless track. The method comprises the following steps: calculating the efficiency relationship of the line before and after the fine adjustment operation according to the track geometry dynamic inspection data of multiple sections in the line before and after the fine adjustment operation; estimating the fine adjustment operation effect of an initial section according to the efficiency relationship and the actual track quality index of all sections in the line before the fine adjustment operation; calculating the estimated average track quality index of the line according to the fine adjustment operation effect of the initial section; determining the estimated adjustment amount of the initial section when the estimated average track quality index is less than or equal to the target average track quality index; and selecting another section to update the initial section and returning to the step of estimating the fine adjustment operation effect of the initial section when the estimated average track quality index is greater than the target average track quality index. The method can estimate the position of the fine adjustment operation section and the operation adjustment amount, optimize the operation scheme and improve the operation efficiency.

The application discloses a roller coaster track measurement error control method fusing zero speed and revisit constraints, obtains angular velocity and acceleration data output by an inertial measurement unit, speed data output by an odometer and wheel pair relative position data output by a plurality of wheel pair displacement sensors, identifies a pseudo zero speed state identifier based on the angular velocity and acceleration data, determines a true zero speed state and triggers zero speed correction to generate a first correction constraint when the speed data is lower than a preset threshold and the pseudo zero speed state identifier is no, inputs each data into a track-vehicle coupled dynamics model, constructs a joint state vector, applies a sparse Gaussian process prior to a track state vector therein, further constructs a hierarchical Bayesian model based on redundant observation, alternately updates a posterior distribution by using variational Bayesian inference, and generates optimized track geometric parameters and vehicle motion states. The application effectively suppresses inertial measurement errors by joint modeling and optimal estimation, and realizes high-precision measurement of track geometry.

Described herein are techniques for determining motion characteristics of trains traveling along a train track. In some embodiments, a processor may determine an estimated position of a train using an observed position obtained using one or more UWB antennas and an observed position obtained using one or more GNSS receivers. In some embodiments, a processor may access information specifying a geometry of a train track and determining the position of a train along the train track using an observed position determined using one or more UWB antennas and / or GNSS receiver(s) and the information specifying the geometry of the train track. In some embodiments, a processor may determine estimated positions of a train using the geometry of the train track and at least one observation of the train obtained using one or more positioning devices and select the position of the train from among the estimated positions.

The utility model relates to the field of wind power self-locking, and discloses a wind power self-locking anti-creeper which comprises a moving frame sliding on a rail, a pulley is rotationally arranged in the moving frame, the pulley is attached to the surface of the rail, a supporting frame is arranged at the top of the moving frame, a swing rod and a swing assembly driving the swing rod to swing are arranged in the supporting frame, and hydraulic cylinders are hinged to the two ends of the swing rod; the swing rod is arranged in the supporting frame, the hydraulic cylinders are hinged to the two ends of the swing rod, the locking wheels are matched with the telescopic ends of the hydraulic cylinders, and the adjusting assembly drives the locking wheels to rotate, so that under the combined action of the swing assembly and the adjusting assembly, it can be ensured that the locking wheels are always attached to the track, and the contact state with the track can be flexibly adjusted; according to the rail clamping device, the effective clamping area and clamping force can be kept under different rail geometrical shapes, even if the rail deforms or the height change exceeds a certain range, the efficient windproof and anti-sliding performance can still be kept, and the risk that equipment displaces and even overturns under the strong wind condition is effectively reduced.

The present application relates to the field of track traffic ballastless track construction technology, and provides a ballastless turnout collaborative fine adjustment method and system, comprising: obtaining elevation deviation data, centerline deviation data of straight stock of the turnout, and levelness deviation data of side stock; establishing geometric correlation constraints between the straight stock and the side stock; based on the geometric correlation constraints, collaboratively solving the elevation deviation data, the centerline deviation data and the levelness deviation data to generate collaborative adjustment instructions; and executing collaborative fine adjustment on the straight stock and the side stock according to the collaborative adjustment instructions. Through the establishment of geometric correlation constraints between the straight stock and the side stock, the present application realizes the synchronous homing of the geometric state of the multiple stock tracks of the turnout, solves the problem of repeated iteration caused by independent adjustment, and significantly improves the fine adjustment efficiency and linear smoothness.

The invention relates to a track maintenance machine for tamping sleepers installed on a ballast bed of a track, comprising a machine frame movable on rail-based running gears, track lifting and lining units for correcting the track geometry as well as two 1-sleeper tamping units arranged one behind the other in the direction of the longitudinal axis of the machine that work independently of one another, with each tamping unit comprising at least four tamping unit segments that work independently of one another, adjustable in height via vertical drives and horizontally shiftable in the transverse direction of the machine via transverse drives, with each tamping unit segment comprising at least one tamping tool carrier, with opposing tamping tools being mounted on the tamping tool carrier and coupled via a vibration drive. It is provided that one of the two tamping units is designed as a turnout tamping unit, that by means of a shifting unit consisting of three transverse guiding units that work independently of one another the associated tamping unit segments are transversely shiftably mounted and can be positioned outwards with respect to the longitudinal axis of the machine in relation to the machine frame or in relation to a satellite frame movable along the longitudinal axis of the machine, and that the other tamping unit is designed as a plain-line tamping unit in such a way that the associated tamping unit segments are transversely shiftably mounted and can be positioned with only one shifting unit. This increases the machine's performance and thus its tamping output when maintaining plain lines and / or turnouts.

The invention relates to the technical field of bridge engineering, and particularly discloses a high-speed railway target earthquake-induced rail geometric irregularity prediction method under a transverse earthquake, which comprises the following steps of: establishing an earthquake-induced rail geometric irregularity random sample library on a high-speed railway bridge; decoupling the seismic-induced rail geometric irregularity into a shape function and an amplitude variable; establishing an expression of a shape function of the target earthquake-induced orbit geometric irregularity; combining uncertainty analysis to fit a high-speed railway girder dislocation peak value upper bound spectrum; solving an amplitude variable through a structure period and a main beam dislocation peak value upper bound spectrum; and constructing the target earthquake-induced orbit geometric irregularity based on the shape function and the amplitude variable. According to the method, the quantitative characterization of the geometric irregularity in the rail direction under the transverse earthquake is realized, and a basis is provided for the optimization of the post-earthquake running speed limiting and emergency processing scheme of the high-speed railway.

This invention discloses a multifunctional modular integrated track inspection system, belonging to the field of track inspection technology. Using a lightweight mobile trolley as a carrier, it integrates a system body, a positioning module, six multifunctional inspection modules, and a data processing module. The system body provides a running platform, power supply, and operation control, and uses differential pulse signals to control and synchronize different functional inspection modules. The positioning module is used to align the position of data within the system modules. The multifunctional inspection modules cover visual inspection, track geometric parameter detection, rail profile detection, rail creep displacement detection, turnout detection, and high-precision fastener detection. The data processing module processes multi-source inspection data and outputs inspection results and maintenance suggestions. This invention solves the problems of traditional equipment having single functions, low inspection efficiency and accuracy, high reliance on manpower, and poor data coordination, thus improving the scientific nature and efficiency of track maintenance.