131 results about "Rail freight transport" patented technology

The invention discloses a railway cargo grabbing method based on improved YOLO and depth map processing, and the method comprises the steps: collecting a color image and a depth image of a target scene through a camera, inputting the color image into an improved YOLOv8 model, and obtaining a mask image; performing registration processing on the mask image by using the depth image to obtain a plurality of alternative target areas; performing three-dimensional statistical analysis on each alternative target area, and screening all the alternative target areas to obtain an effective target area; and selecting a plurality of candidate edge points in the effective target area, performing screening according to the score of each candidate edge point, and obtaining a grabbed area according to the screened candidate edge points. According to the embodiment of the invention, accurate identification and positioning can be carried out on railway goods in a complex scene, so that the robot grabbing efficiency and success rate in a railway freight scene are improved.

The invention discloses a method and a system for calculating energy consumption of a coupler system in the running process of a railway wagon, and relates to the technical field of crossing of railway vehicle dynamics and green energy technologies. The multi-source energy consumption dynamic coupling model comprises a car coupler gap collision area, a sliding friction area between car couplers, a car coupler-slave plate seat impact area, a car coupler-carrier wearing plate fretting wear area and a buffer damping area; based on the energy flow topology network, determining an energy transfer priority and efficiency matrix in the multi-source energy consumption dynamic coupling model; and generating an energy consumption probability density function based on a generalized polynomial chaos expansion method, and outputting a low-carbon design parameter set and total energy consumption. According to the method, high-precision calculation and low-carbon design optimization of the full-life-cycle energy consumption of the coupler system are realized, and a core theoretical support is provided for green transformation of railway freight.

The invention discloses a railway transportation cargo loading and unloading device based on vision, and relates to the technical field of railway transportation cargo loading and unloading, and the railway transportation cargo loading and unloading device comprises a mobile bearing platform which is used for moving in a railway freight scene and providing an operation base, and a multi-modal visual acquisition assembly, a central controller, a self-adaptive loading and unloading assembly and the like are integrated to cooperate to load and unload cargos; a complete railway cargo intelligent loading and unloading operation mode is formed, cargo form and weight and carriage space three-dimensional information are sensed in real time as a whole, the optimal stacking sequence and grabbing strategy can be decided independently as a whole, self-adaptive adjustment is effectively carried out according to the actual situation of on-site cargoes and the real-time space of a carriage, and the working efficiency is improved. By means of the technical scheme, heavy object bottom-layer placement, space maximum utilization and gravity center stability optimization are achieved, the problems of low efficiency and high risk caused by the fact that traditional loading and unloading depend on manual experience are fundamentally solved, meanwhile, the equipment rapid reloading and multi-mode grabbing mechanism can adapt to different vehicle types and goods materials, and the equipment universality and operation reliability are greatly improved.

A method for assigning train blocks at a railroad merchandise yard includes determining, using a first optimization model and historical train block volume data, a first list of train block assignments for a plurality of train blocks and a plurality of classification tracks of a classification bowl. The method further includes displaying the first list of train block assignments generated by the first optimization model if the volume of the train blocks is not greater than the total available track length of the classification tracks. The method further includes determining and displaying, using a second optimization model and the historical train block volume data, a second list of train block assignments for the plurality of train blocks and the plurality of classification tracks of the classification bowl if the volume of the plurality of train blocks is greater than the total available track length of the plurality of classification tracks.

The invention discloses a cascade failure-based double-layer international railway freight network toughness evaluation method, which belongs to the technical field of road traffic network evaluation, and comprises the following steps: constructing topology models of a basic line network and a transportation service network; constructing a network evaluation system and an importance evaluation system of each node in the network; constructing a network vulnerability evaluation model based on cascade failure, wherein the model adopts an improved CML node state model and a cargo redistribution strategy; and in combination with each network and the evaluation model, a cascade failure condition is simulated through a simulation experiment, and the network is evaluated in combination with an evaluation system. The characteristics of international railway freight are considered, a double-layer coupling network of a basic line network and a transportation service network is constructed, a multi-dimensional toughness evaluation index system and a cargo distribution mechanism are set up, and the cascade failure condition in the international railway freight network can be simulated.

The invention relates to the technical field of artificial intelligence, in particular to a railway freight train adaptive asynchronous control method based on artificial intelligence. The method comprises the following steps that train running data are collected through a train sensor, train running and track linkage processing and train running real-time positioning detection are carried out, and train running-track linkage data and train running real-time positioning data are generated; acquiring train driving planning data; carrying out train running schedule design based on the train running planning data and the train running real-time positioning data, and generating train running schedule data; and based on the train running real-time positioning data, the train running-track linkage data and the train running schedule data, train carriage running state and train traction linkage analysis and train self-adaptive asynchronous control instruction setting are carried out, and train self-adaptive asynchronous control operation is executed. According to the invention, self-adaptive asynchronous control of the train is realized.

The invention discloses a railway freight data security encryption method based on distributed storage, which relates to the technical field of railway information security, and comprises the following steps: registering distributed storage nodes, collecting railway freight tasks, tracks and node registration data, constructing a distributed storage network based on the node registration data, generating a node list, and encrypting the node list. Performing identity authentication, key initialization and identity verification during access among the nodes on the nodes in the node list, issuing a short-time access token after verification is passed, generating a track interval key according to freight track data, fragmenting the track interval key by using a threshold secret sharing method, distributing the track interval key to multiple nodes and dynamically deriving a key, and based on the derived key, using an improved ECC parallel encryption method in combination with Paillier dynamic encryption to encrypt data, and generating an encrypted data packet. According to the invention, track data is used as key drive, and dynamic hierarchical encryption and collaborative credible decryption of railway freight task data in a distributed environment are realized.

The invention discloses a rail wagon control information wireless transmission device which comprises a control mainboard, an antenna assembly and a configuration interface, the antenna assembly and the configuration interface are connected with the control mainboard, and the control mainboard is arranged in a train tail control device vehicle-mounted case of a rail freight locomotive and can directly obtain train brake release control information through the configuration interface. And the antenna assembly wirelessly sends the information to the vehicle-mounted monitor, and the vehicle-mounted monitor forms a control instruction and issues the control instruction to each vehicle for execution. A locomotive brake control handle position signal and a balanced air cylinder pressure value are quickly obtained through an acquisition processing unit additionally arranged in a train tail control device vehicle-mounted case and are sent to a railway wagon control information wireless transmission device in real time; after being superposed with a clock signal, the device immediately sends the clock signal to a vehicle-mounted monitor mounted on a vehicle through the wireless communication module, so that the timeliness and reliability of train control information are ensured.

The invention provides a railway freight train image abnormal area editing method and system, and relates to the technical field of image processing, and the method comprises the steps: obtaining an original image of a compartment of a railway freight train, and an editing instruction of an abnormal area; inputting the editing instruction and the original image into a large language model for analysis, and gradually decomposing the editing instruction into subtask chains; target semantic information is extracted from the editing instruction, image features are extracted from the original image, target area positioning is carried out, and a space mask is generated; fusing the target semantic information and the image features to obtain a semantic control vector, and performing image editing according to the semantic control vector, the spatial mask and the image features to obtain an initial editing image; and matching and fusing the original image and the initial edited image to obtain an abnormal region edited image, thereby solving the technical problems of serious hysteresis and high cost of traditional manual monitoring of railway freight safety in the prior art.

The present invention discloses a method and system for optimizing the energy consumption of marshaled railway freight equipment based on data fusion, relating to the field of rail transit technology. The system includes: a dynamic data acquisition module for acquiring real-time data during the operation of railway freight equipment; a core calculation module for calculating real-time parameters using a multi-coupling effect model to obtain the atmospheric drag energy consumption of the railway freight equipment; a data processing module, an edge computing layer for constructing a dynamic wind attack angle correction model based on the operating status of the railway freight equipment, and using the dynamic wind attack angle correction model to correct the atmospheric drag energy consumption calculation process; an intelligent analysis layer for optimizing the railway freight equipment's travel strategy based on the atmospheric drag energy consumption; and a feedback control module for providing real-time feedback and control of the railway freight equipment based on the optimized railway freight equipment's travel strategy. The present invention can achieve accurate modeling, optimization, and safe control of atmospheric drag energy consumption in a dynamic environment.

The invention relates to the field of railway freight automation, and provides an unmanned gantry crane collaborative scheduling method for an intelligent land and port logistics hub, which comprises the following steps: collecting multi-source data of an unmanned gantry crane; constructing a dynamic priority scoring model to determine a to-be-executed optimal task instruction; according to the continuous time sequence state vector of each unmanned gantry crane, generating a prediction trajectory in a future prediction time length, discretizing the prediction trajectory into a multi-dimensional space-time position point sequence, and performing overlap detection on any two unmanned gantry cranes in a future time period to generate a future potential space-time conflict event; and constructing a multi-target cost function to carry out cost value calculation to generate corresponding avoidance control parameters, generating a temporarily exclusive virtual operation corridor, and issuing a control instruction. By introducing artificial intelligence-based multi-source data deep fusion, space-time conflict prediction and dynamic virtual operation corridor control methods, the unmanned gantry crane realizes high-precision perception, high-reliability scheduling and multi-machine cooperative operation in a complex railway operation scene of an intelligent land port logistics hub.

The application discloses a kind of railway freight vehicle key component real-time detection method and system based on Transformer, the method includes: S1, the original image of railway freight vehicle key component to be detected is obtained;S2, the original image of railway freight vehicle key component after pre-processing is carried out feature extraction, and multiple scale feature maps are obtained;S3, the edge texture information of small scale component in deep multi-scale feature map is extracted and strengthened, and the feature map after strengthening is obtained;S4, the feature map after strengthening is input as first branch, shallow multi-scale feature and middle multi-scale feature are input as second branch, and splicing and fusion are carried out, and the fusion feature map is obtained;S5, the positioning loss of the boundary box of fusion feature map is calculated, to realize the accurate detection of railway freight vehicle key component;The application realizes the real-time accurate detection of railway freight vehicle key component by the multi-scale feature fusion of lightweight dynamic hybrid convolution and polarized self-attention mechanism and Inner-Shape-IoU loss optimization.

A method is provided for operating a transport network, for example a rail freight network including receiving a state report (or “snapshot”) of the transport network including positions of the vehicles and states of the network control apparatuses via the data communications network. A plurality of computer simulations of the transport network are run with reference to the state report. The computer simulations generate a number of feasible timetables and subsequently one of them is selected as an optimal feasible timetable, being a timetable that best satisfies demands for load at terminals of the network. Each of the plurality of computer simulations involves moving vehicle agents corresponding to the vehicles over a graph of the transport network according to a vehicle movement procedure that is configured to avoid gridlocking. The computer simulations are also run according to an optimal destination selection method which is configured to optimise vehicle agent journeys to meet the demand for the loads at locations in the transport network. Each of the plurality of computer simulations is made with varied weightings in respect of optimisation factors in the optimal destination selection method to thereby vary each of the number of feasible timetables. The method includes identifying an optimal timetable from the number of feasible timetables and issuing controls to the vehicles and network control apparatus via the data communications network to control movement of the vehicles across the transport network in accordance with the optimal timetable.

The invention discloses a freight transport safety monitoring method and system based on tarpaulin state image recognition, and relates to the technical field of freight transport safety monitoring. Comprising the steps of continuously collecting multispectral image data of the surface of tarpaulin; generating a topological guidance graph based on the skeleton data, and inputting the topological guidance graph into a pre-constructed visual Transform model to extract tarpaulin wrinkle feature data and rope knot structure feature data; calculating local wind pressure data of the fold area of the tarpaulin according to the displacement mapping of the fold characteristics and the multispectral image; performing online compensation on the local wind pressure data in combination with the real-time tension data to obtain compensation tension distribution data, and generating a tarpaulin tension thermodynamic diagram; and generating a critical wind speed value of the tarpaulin based on the feature data, and outputting early warning when the critical wind speed value is lower than a preset threshold value. According to the method, structural features and mechanical state data are fused, accurate recognition and safety early warning of the state of the tarpaulin are achieved, and the safety and reliability of the railway freight process are improved.

A railway freight train side frame supporting seat hole machining tool belongs to the field of railway freight train side frame machining and comprises a bottom plate, a left positioning seat, a right positioning seat, a front positioning seat, a longitudinal pressing plate, a horizontal pressing plate, a lateral jackscrew, a longitudinal positioning block, a transverse positioning block, a longitudinal bolt rod and a vertical bolt rod. The left positioning seat and the right positioning seat are arranged on the two transverse sides of the bottom plate and are provided with bearing tables and vertical plates, bearing blocks with vertical positioning faces are installed on the bearing tables, longitudinal positioning blocks with longitudinal positioning faces and longitudinal bolt rods are installed on the vertical plates, longitudinal pressing plates are arranged on the longitudinal bolt rods, lateral jackscrews are installed on the left positioning seat, and lateral jackscrews are installed on the right positioning seat. A transverse positioning block with a transverse positioning surface is mounted on the right positioning seat, the front positioning seat and the vertical bolt bar are arranged on the longitudinal front side of the bottom plate, a horizontal pressing plate is arranged on the vertical bolt bar, a workpiece is positioned by the aid of the pre-machined positioning surface during use, two supporting seat holes can be machined by one-time clamping, machining efficiency can be improved, and machining precision can be improved.

The present invention provides a method for constructing a railway freight customer profile, an apparatus thereof, and a computer device. The construction method comprises obtaining transportation data of multiple railway freight customers, the transportation data comprising first transportation data corresponding to attribute-type demand information and second transportation data corresponding to transportation-type demand information; applying the ACO‑FCM algorithm to perform multiple clustering processes on the first transportation data to obtain multiple clustering information; based on the CH Index, DB Index, and Silhouette Coefficient in the multiple clustering information, using the elbow method to determine the optimal total number of clusters M, and using the clustering result corresponding to the optimal total number of clusters M as the target clustering result; performing a chi-square analysis on the second transportation data corresponding to each target cluster to obtain the demand preference data of each target cluster, combining the label features and demand preference data of each target cluster to generate a railway freight customer profile. The construction method provided by the present invention has the advantages of good clustering effect and accurate auxiliary prediction.

The invention provides a railway freight market potential evaluation method and apparatus, and an electronic device. The method comprises the steps of obtaining historical freight market data and a customer portrait; inputting the historical freight market data and the customer portrait into a potential evaluation model constructed based on a neural network to obtain a subject evaluation result and a corrected evaluation result; and obtaining a market potential evaluation result based on the subject evaluation result and the corrected evaluation result. According to the method and the device provided by the invention, the historical freight market data and the customer portrait are respectively input into the potential evaluation model constructed based on the neural network, the subject evaluation result and the corrected evaluation result output by the potential evaluation model are obtained, and the customer portrait is evaluated based on the subject evaluation result and the corrected evaluation result. The accuracy is higher, the reference value is larger, and the railway freight enterprises can be effectively helped to optimize transport capacity resource allocation.

The application discloses a tarpaulin state image recognition freight security monitoring method and system, and relates to the technical field of freight security monitoring.The method comprises the following steps: continuously collecting multispectral image data of the surface of a tarpaulin; generating a topological guide map based on skeleton data and inputting the pre-constructed visual Transformer model to extract tarpaulin wrinkle feature data and rope knot structure feature data; calculating local wind pressure data of the tarpaulin wrinkle area according to the displacement mapping of the wrinkle features and the multispectral image; combining real-time tension data to perform online compensation on the local wind pressure data, obtaining compensated tension distribution data, and generating a tarpaulin tension thermal map; generating a tarpaulin critical wind speed value based on the above feature data, and outputting a warning when the value is lower than a preset threshold.The method fuses structural features and mechanical state data, realizes accurate identification and safety warning of the tarpaulin state, and improves the safety and reliability of the railway freight process.

The invention discloses a vehicle pulling and moving platform of a railway freight intelligent loading and unloading system, which comprises a vehicle moving platform and a vehicle pulling machine, and the vehicle pulling machine is used for connecting and pulling a vehicle; a rack is arranged on the car moving platform, a walking motor and a walking gear are arranged in the car puller body, and the walking motor drives the car puller body to move when driving the walking gear to rotate. A car moving track perpendicular to the car pulling track is arranged in the pit, and the car moving platform is installed on the car moving track. According to the automatic track line changing device, firstly, a vehicle is pulled to the vehicle moving platform from the track A through the vehicle pulling machine, then the vehicle is horizontally moved to be aligned with the track B through the vehicle moving platform, and finally the vehicle is pushed to the track B through the vehicle pulling machine, so that automatic line changing of the track is achieved; no extra line changing track needs to be arranged, the occupied area is small, and the basic equipment cost is low.

This invention discloses a method, system, equipment, and medium for predicting railway freight volume, relating to the field of railway freight technology. The method includes: acquiring target data, which includes target historical railway freight volume data and target historical railway freight-related data. The target historical railway freight-related data consists of target historical data corresponding to multiple target influencing factors related to railway freight volume, and the target influencing factors are factors that have a direct or indirect impact on railway freight volume; inputting the target data into a pre-constructed target railway freight volume prediction model to obtain the predicted railway freight volume value corresponding to the target data. This invention solves the problem that existing railway freight volume prediction methods do not consider the impact of influencing factors related to railway freight volume on railway freight volume and the relationships between these factors, resulting in low prediction accuracy and limiting and lagging operational decisions for railway freight enterprises.

The invention discloses a railway freight intelligent weighing and loading optimization robot system, which relates to the technical field of railway freight intelligent weighing and loading, and comprises an intelligent weighing module, sensors arranged in a matrix manner and used for processing data through a combinatorial algorithm; the artificial intelligence visual identification module is used for collecting images at multiple visual angles and identifying cargo information through multi-model fusion; the loading planning and optimizing module is used for generating an optimal loading scheme in combination with the multi-dimensional data; the robot execution module automatically completes goods carrying and placing according to instructions; the environment perception and safety protection module is used for constructing a three-dimensional map and realizing graded protection; and the data interaction and storage module transmits data in a dual-mode manner, is in butt joint with a management system, stores logs and supports retrieval analysis. The weighing accuracy and the loading rationality are improved through multi-module cooperation, the adaptability of the system is enhanced through a data security mechanism and the adaptive learning ability, the operation and maintenance cost is reduced, and intelligent upgrading of railway freight is assisted.

The invention belongs to the technical field of railway freight loading operation, and discloses a special vehicle railway slab boundary identification and loading auxiliary method. Existing loading operation highly depends on manual operation, and the problems that dependence on personnel experience is high, butt joint errors are common, and loading efficiency is low exist. According to the method, the front-view camera and the side-view camera are used for collecting the loading operation image, the image is subjected to preprocessing and contour extraction, the boundary geometric features of the railway slab are obtained, then the offset distance and the offset angle between the special vehicle and the railway slab are calculated, and risk level calculation is carried out to achieve real-time early warning. The problems that manual loading is poor in precision, low in efficiency and high in risk are effectively solved, and intelligent, high-precision assistance and safety monitoring of the loading process are achieved.

The invention relates to the technical field of railway freight, in particular to an intelligent control method for a loading building. The method comprises the following steps: collecting a large amount of historical loading data and data collected by a millimeter wave radar, a laser radar and a visual camera, and training a recurrent neural network; the neural network of the initial model learns a complex mapping relation between loading operation and various influence factors under different working conditions, such as different vehicle types, different material characteristics and different weather conditions, so that a reasoning model is generated; in the loading process, the inference model is used for carrying out loading control, according to detection data input by the laser radar, the millimeter-wave radar and the visual camera in real time, the detection data is combined with inference logic of the inference model, a chute control signal is output, and the opening and closing degree of the chute is dynamically adjusted. For example, when it is detected that the carriage is about to be full, the loading speed is controlled to be automatically reduced; when it is detected that the position of the carriage slightly deviates, the discharging direction of the chute is controlled to be adjusted in real time, and it is ensured that materials accurately fall into the carriage.

The utility model relates to the technical field of vehicle door fastening, in particular to a vehicle door fastener and a railway freight boxcar. The vehicle door fastener comprises a hanging plate unit, a pressing plate unit and a fastening unit, the hanging plate unit and the pressing plate unit are split parts, the hanging plate unit is matched and connected with a vehicle body edge side plane, the pressing plate unit is matched with a vehicle door edge side plane on the same side as the vehicle body edge side plane, and the pressing plate unit is connected with an outer side flange of the vehicle door edge side plane. The fastening unit is perpendicular to the side plane of the edge of the vehicle body, and the fastening unit is connected with the hanging plate unit and the pressing plate unit in an adjustable mode and fastens the hanging plate unit and the pressing plate unit. By matching with the structure of the improved boxcar door of the railway freight boxcar, the boxcar door and the boxcar body are pressed tightly, so that the reinforcing effect is achieved, and the conditions of displacement of the boxcar door and frame separation of the boxcar door can be prevented.

The application discloses a twist adjusting clamp, a twist adjusting system and a twist adjusting method of a middle beam structure, and belongs to the technical field of railway freight transportation. The twist adjusting clamp comprises a first clamping piece and a second clamping piece. The first clamping piece comprises a base and a cantilever assembly, the base is connected with the cantilever assembly to form a fixing cavity, and the fixing cavity is used for fixing one positioning end. The second clamping piece comprises a fixing base, a first clamping part and a second clamping part. The fixing base is used for supporting the other positioning end. The first clamping part and the second clamping part are respectively used for fixing the positioning end from the side of the other positioning end, so as to adjust the core disc gap between the core disc surface corresponding to the positioning end fixed by the second clamping part and the core disc support platform. The positioning end without twist deformation is arranged in the fixing cavity, and the fixing cavity is arranged around the positioning end, so that the positioning end is held from all around, and the fixing effect of the positioning end can be improved.

The utility model discloses a self-generating device for a railway train, and relates to the technical field of railway machinery. A self-power-generating device of a railway train comprises a first hydraulic driving assembly coaxially connected with an external wheel rotating shaft and used for adjusting the width of a first extrusion space; the first cone pulley and the first hydraulic driving assembly are coaxially arranged, and a first extrusion space is formed by the first cone pulley and the first hydraulic driving assembly; the second hydraulic driving assembly is used for adjusting the width of the second extrusion space; the second cone pulley and the second hydraulic driving assembly are coaxially arranged, and a second extrusion space is formed by the second cone pulley and the second hydraulic driving assembly; the transmission track sleeves the first extrusion space and the second extrusion space and is used for driving the second cone pulley to rotate; the power generation assembly is in transmission connection with the second cone pulley and used for generating power; and the mounting frame is fixed to an external vehicle body and used for mounting the first hydraulic driving assembly, the first cone pulley, the second hydraulic driving assembly, the second cone pulley and the power generation assembly. According to the utility model, the running kinetic energy of the train can be efficiently utilized, and the problems of improving the energy efficiency, safety and intelligent level of railway freight are solved.

The invention discloses a special device for repairing railway freight open car doors, and the invention relates to the technical field of open cars. The special device for repairing railway freight open car doors, through the setting of a straightening component, when the straightening frame is inserted into a preset straightening path through the movement of a transport vehicle, the corresponding straightening drive cylinder is operated to push out the inner push frame in the corresponding straightening frame, so that it slides along the slide groove until several straightening wheels on the outside contact the inner side of the left door frame or the right door frame, and several rotating shafts rotatably installed on the inner side of the straightening frame can contact the outer side of the left door frame or the right door frame. After positioning is completed, the lifting cylinder is operated to drive the corresponding straightening frame to repeat the up and down translation operation through the transmission block, so as to straighten the left door frame or the right door frame, thereby ensuring the correction effect of the car door and improving the convenience of repairing the car door.

A method for assigning train blocks at a railroad merchandise yard includes determining, using a first optimization model and historical train block volume data, a first list of train block assignments for a plurality of train blocks and a plurality of classification tracks of a classification bowl. The method further includes displaying the first list of train block assignments generated by the first optimization model if the volume of the train blocks is not greater than the total available track length of the classification tracks. The method further includes determining and displaying, using a second optimization model and the historical train block volume data, a second list of train block assignments for the plurality of train blocks and the plurality of classification tracks of the classification bowl if the volume of the plurality of train blocks is greater than the total available track length of the plurality of classification tracks.

The invention provides a railway freight customer loss prediction method, and belongs to the field of railway transportation. The method comprises the following steps: constructing a railway freight customer portrait system; constructing a customer freight demand prediction model; constructing a customer loss early warning model based on data in the railway freight customer portrait system; and a demand prediction value output by the customer freight demand prediction model is converted into dynamic input features of the customer loss early warning model, loss risk calculation is executed, and railway freight customer loss prediction is completed. According to the invention, problems of low demand prediction precision, lack of an effective loss early warning mechanism and low data utilization efficiency in existing railway freight customer management are solved.