341 results about "Freight trains" patented technology

The invention belongs to the technical field of materials, and particularly relates to a hybrid fiber reinforced friction material for train braking and a preparation method thereof. In the invention, a composite modified phenolic resin is used as an adhesive, and hybrid fibers, including carbon fiber, metal fiber, inorganic mineral fiber and the like, are used as the reinforcing fibers. Compared with the prior art, the invention improves the contour machining property of the organic synthetic brake, and the yield of the material is high; the brake has stable frictional property at different braking speeds, does not has obvious degradation of frictional property at high speed, and does not have the phenomena of shedding and cracking on the working surface after the braking test. The friction material provided by the invention can be widely used for manufacturing brake pads, brakes, brake shoes and the like in braking systems of passenger and freight trains, municipal rail transportation, subways and the like.

The invention relates to an automatic on-line diagnosis method for freight train coupler tail cotter position faults and a system. The system comprises an image acquisition portion and a diagnosis portion, wherein the diagnosis portion comprises a positioning module and an identification module, the image acquisition portion is used for acquiring a coupler image, the coupler image is positioned and identified respectively by the positioning module and the identification module in the diagnosis portion, the positioning module is used for determining a position of the coupler tail cotter in the coupler image, the identification module is used for determining whether a bolt is lost according to the coupler image acquired by the positioning module, through the positioning module, normalized gradient amplitude characteristics and gradient histogram characteristics in six directions are combined to form composite dimension characteristics, the position of the coupler tail cotter can be acquired by utilizing a linear support vector machine (SVM); for the identification module, difference between the normal coupler tail cotter image and a bolt-lost cotter image are extracted by utilizing Haar characteristics, and an Adaboost decision tree is taken as a final classifier to determine whether a fault is generated.

The invention discloses an intelligent operating system and method for a train examination robot of a railway vehicle, and belongs to the field of technical inspection of railway freight trains. The intelligent operating system for the train examination robot of the railway vehicle comprises a train examination robot system, a train examination operation, monitoring and management platform and a train examination wireless network platform; a wheel type robot and an air-control big gate are controlled to combine with an automatic control technology, a laser detection technology, an inactive radio frequency transmission technology, a position self-sensing technology, a machine visual technology and a digital image analysis technology to acquire holographic data of a to-be-detected vehicle; a mode identification technology is utilized to perform treatment and analysis as well as decision-making, so that brake test automation, part quality state diagnosis informatization, fault treatment monitoring and reexamination traceability after train maintenance in train examination operation of the railway vehicle are realized. The intelligent operating system realizes replacing manual examination by robot examination, can be suitable for different environments of train examination application places across the country, can comprehensively improve quality and efficiency of train examination operation, and has relatively great social benefits and economic benefits.

The invention relates to a hot-axle alarming method for a railway freight train and a system. The system comprises a bearing type determining unit, a hot-axle alarming threshold value determining unit, a hot-axle alarming threshold value acquiring unit and a hot-axle alarming unit, wherein the bearing type determining unit is used for determining and monitoring a type of a bearing of the freight train; the hot-axle alarming threshold value determining unit is used for obtaining a temperature rising property of the bearing through the statistics of an ambient temperature value which is received by a receiving unit and detected and transmitted by a bearing temperature detection system and a series of temperature values of the bearing so as to determine a hot-axle alarming threshold value ofthe bearing according to a preset alarming probability and the temperature rising property of the bearing; the hot-axle alarming threshold value acquiring unit is used for finding out a stored hot-axle alarming threshold value corresponding to the bearing according to the type of the bearing; and the hot-axle alarming unit is used for issuing an alarm by comparing a temperature rising value of the bearing which is calculated according to a current ambient temperature value which is received by the receiving unit and detected and transmitted by the bearing temperature detection system with thehot-axle alarming threshold value when the temperature rising value of the bearing is more than the hot-axle alarming threshold value. By adopting the hot-axle alarming method and the system, the hot-axle alarming quality can be improved.

The invention discloses a system and a method of full-automatic continuous quantitative loading of a railway freight train. The system comprises a quantitative bin which is arranged in a train carriage loading region across a train track through a support, a material buffering bin is arranged on the upper side of the quantitative bin, a feeding gate is arranged at the lower end of the buffering bin in an alignment mode, and a material discharging gate is arranged at the lower end of the quantitative bin; the lower end of the quantitative bin is connected with a loading sliding groove, a vehicle loading control system is used for control the buffer bin and the quantitative bin to carry out continuous and quantitative loading of a freight train by judging the identification and the speed ofa vehicle identification. According to the system and the method, the problem of synchronization in cooperation and coordination of equipment and the train carriage is solved, the equipment feeding issynchronous with the train, manual intervention is not needed in a cooperating problem of the sliding groove and the carriage during material discharging, so that the labor intensity is reduced; andautomatic adjustment of the loading sliding groove can be realized, weighing, loading and leveling are realized, and the transportation efficiency is improved.

The invention relates to a high abrasion-resistance nylon composite material for a trolley of an airport freight train and a preparation method thereof. The composite material comprises the following main components in percentage by weight: 60 to 80 percent of nylon 6 or nylon 66 or a mixture of the nylon 6 and nylon 66, 5 to 13 percent of glass microspheres, 6 to 14 percent of glass fiber powder and 5 to 7 percent of lubricating antiwear agent. The composite material comprises the following minor components in percentage by weight: 3 to 5 percent of graft toughened modifier, 0.3 to 1 percent of antioxidant, 0.2 to 0.3 percent of lubricating dispersing agent and 0.2 to 0.5 percent of nucleating agent. The composite material of the invention has the characteristics of high wear resistance, high heat resistance, relatively high toughness and skid resistance and the like.

The invention provides steel for a freight train connecting piece and a preparation method thereof. The steel for the freight train connecting piece comprises the following chemical ingredients in percentage by mass: 0.24-0.28 percent of C, 0.20-0.40 percent of Si, 1.20-1.50 percent of Mn, 0.50-0.65 percent of Cr, 0.45-0.65 percent of Ni, 0.20-0.30 percent of Mo, 0.03-0.05 percent of Ti, 0.025-0.040 percent of Al, less than or equal to 0.020 percent of S, less than or equal to 0.020 percent of P, less than or equal to 0.15 percent of Cu, less than or equal to 15 ppm of O, less than or equal to 1.5 ppm of H and the balance of Fe and inevitable impurities. According to the invention, as the steel for the freight train is adopted, the mechanical properties of strength, low-temperature impact performance, fatigue life and the like of the connecting piece can be improved, so that the development of railway vehicles towards the high-speed heavy-load direction can be improved, and railway accidents caused by the connecting piece are reduced or avoided.

The invention discloses a bolt and nut missing detection method for a coupler yoke key safety crane, solves the problems of high cost and low efficiency in fault detection of coupler yoke key, safetycrane, bolt and nut missing of a freight train in an existing pure manual image observation mode, and belongs to the field of freight train fault detection. The method comprises the following steps: coarsely positioning bolts and nuts of a coupler yoke key safety hanger in a whole vehicle image by using an SSD neural network to obtain sub-images; marking the positions of a coupler yoke key safetyhanger bolt and a coupler yoke key safety hanger nut in the subgraph, and constructing a training set; fitting the training set by adopting an MS-RCNN neural network to obtain training weight parameters, loading the training weight parameters into the MS-RCNN neural network and an SSD neural network, and constructing a speculation model; and inputting the whole train image of the freight train tobe detected into the speculation model, detecting whether the bolt and the nut of the freight train coupler yoke key safety crane are missing or not, and if the confidence coefficient score of missingof the bolt and the nut is higher than a set threshold value, giving an alarm.

The invention discloses a railway wagon brake beam body breaking fault image recognition method, relates to the technical field of freight train detectio. In order to solve the problem that fault detection is carried out by adopting a manual image checking mode, the detection efficiency is low caused by fatigue and omission of vehicle inspection personnel in the working process in the prior art, manual detection is replaced by an automatic image recognition mode, and the detection efficiency and accuracy are improved. A deep learning algorithm is applied to brake beam body breaking fault automatic identification, and the stability and precision of the overall algorithm are improved. The U-NET model is optimized, the prediction time is shortened, and the segmentation speed is improved. A feature extractor of the SSD is changed into a combination of Resnet50 and FPN from VGG16, overall features and local features are fused through multi-scale target detection, and the precision of a single-stage target detection algorithm SSD in the aspect of small-scale target detection is improved.

A vehicle logistics scheduling method and device based on a multi-objective ant colony algorithm, a storage medium and a terminal are provided. The method comprises: acquiring vehicle logistics data,the vehicle logistics data comprising order data and capacity data; acquiring M candidate allocation schemes based on the vehicle logistics data, wherein M is more than or equal to 1; marking the candidate allocation schemes as ants, marking the set of M ants as an ant colony, discarding the ants having all objective vectors dominated in the ant colony during transfer of each ant to obtain a non-inferior solution set, and marking the projection of the ant on each objective as an objective vector corresponding to the objective; and when the transfer state of the ant colony satisfies a preset termination condition, selecting an optimal scheduling scheme from the obtained non-inferior solution set according to the service scenario. The solution can realize automatic dispatching of the vehiclelogistics, is beneficial to realizing optimal scheduling, and reduces the dynamic scheduling cost of a freight train on the whole.

The invention discloses device and method for automatically braking and stopping during freight train derailing. The device comprises a vibrating sensor module, a vibrating spectrum analyzing and processing unit, an automatic charging and energy storing device, an electromagnetic valve, a braking device and a storage module. The method comprises the following steps of: adopting a digital sensor to pick up vibrating signals of wheel pairs and bearings of a train; picking up vibrating information of characteristic frequency bands through a frequency domain analysis method; judging whether the running of the train derails or not and storing vibrating characteristic data into a nonvolatile memory for state recording; and if the train derails, starting an alarm mechanism, acting by the brake device to brake the train until stopping, and sending an alarm signal by an audible and visual alarm device. The invention is used for monitoring the running state of a rail wagon in real time and can detect faults and hidden dangers and send out early warning signals for states being possible of derailing for preventing accidents.

The invention discloses a method for constructing a vehicular network of a railway freight train. The method can comprise embodiments of all parts of the network and is used for providing an intelligent infrastructure for the freight train. One embodiment can comprise control devices, multiple information collecting devices and a power supplying device, wherein the control devices are arranged on a locomotive/vehicle, the multiple information collecting devices are arranged on the locomotive/vehicle, and the power supplying device is mounted on the vehicle; the control devices are used for enabling node interconnection and vehicle external communication and providing network service, data transmission, data processing and data storage; the information collecting devices are used for acquiring and monitoring data of vehicle components; the vehicular control devices are equipped with wireless supplying devices which are used for supplying power to the information collecting devices. One embodiment can comprise a light energy recovered power supplying device, and a light source can be natural light or laser or the like. Vehicular network support nodes are dynamically adjusted, and control nodes in the same train marshalling can construct a logic-independent network.

The invention discloses a railway wagon swing bolster spring jump-out fault image recognition method, relates to the technical field of freight train detection, and aims to solve the problem of low detection accuracy of a manual detection mode in the prior art. The method comprises the following steps: 1, obtaining a passing wagon image, and carrying out the coarse positioning to obtain a coarse positioning gray image set; 2, marking the coarse positioning grayscale image set to obtain a marked image set; 3, training a deep learning network model by using the marked image set and the originalimage; and 4, segmenting the swing bolster spring by using the trained deep learning network model, and judging whether a swing bolster spring jump-out fault occurs or not according to a segmentationresult. According to the invention, manual detection is replaced by an image automatic recognition mode, vehicle faults can be automatically identified and alarmed, the operation standard is unified,the influence of different experience, understanding and cognition degrees of detected vehicle personnel is avoided, and the detection efficiency and accuracy are improved.

The invention relates to the machinery field and particularly relates to a freight train truck complete machine fatigue testing method. The freight train truck complete machine fatigue testing method comprises steps of 1) establishing a dynamics model of a tested truck and a typical train body, 2) setting route parameters according to a practical condition of a route, using irregularity of a rail as an excitation input in calculation, 3) performing a dynamics simulation plan on the freight model, 4) obtaining a load-time course of each part of the truck under working conditions of various speed levels of the train, 5) using a rain flow counting method to perform data statistic analysis, and 6) determining load spectrum data which can be used for the related truck. The freight train truck complete machine fatigue testing method provides a new testing method and explores a new field of the freight train truck complete machine fatigue test. The study content of a testing table has perceptiveness and pioneering significance and can improve the test study level and the technology innovation capability of an enterprise.

The invention discloses a heavy haul railway turnout static and dynamic design model construction method. The heavy haul railway turnout static and dynamic design model construction method is characterized in that the method comprises the steps of performing quasi-static analysis on a heavy haul railway turnout based on a finite-element theory, and simulating rail, rail fastening, sleeper, ballast and limiter structures and filler structures to construct a heavy haul railway seamless space coupling entity analysis model; constructing a dynamic analysis model to perform dynamic simulation calculation on car-heavy haul turnout coupling, wherein the dynamic analysis model comprises a freight train model, a heavy haul railway turnout model and a wheel-rail contact model. By adopting the technical scheme, the constructed heavy haul railway seamless space coupling entity analysis model and the constructed dynamic analysis model can provide higher-simulation-degree models for heavy haul railway turnout design and analysis; by using the models constructed by adopting the scheme provided by the invention, heavy haul railway turnouts which can fully meet use requirements can be designed.

The invention relates to a braking system for a freight train. The braking system comprises a main braking pipeline composed of a train pipe, a distribution valve (5), an auxiliary air cylinder (3), a braking cylinder (6) and an accelerating relief air cylinder (4). The braking cylinder (6) is connected with a braking shoe and used for generating main braking torque on wheels. The distribution valve (5) is connected with an auxiliary braking pipeline. The auxiliary braking pipeline comprises an empty and heavy vehicle control valve assembly (7), a relay valve (8), a gas-liquid converting and pressure increasing valve (10), an oil tank (12) and a hydraulic damper (11) which are sequentially connected. The hydraulic damper (11) is used for generating braking torque on an axle. The relay valve (8) is connected with an air supply cylinder (6) for providing pressure air. The empty and heavy vehicle control valve assembly (7) is connected with the distribution valve (5). Compared with the prior art, the braking system can meet the braking requirements of different load conditions of the freight train, and has the advantages of being low in pressure air loss, small in abrasion loss of the braking shoe, small in wheel tread abrasion and the like.

The invention discloses a vehicle-mounted weighing system of a freight train as well as a weighing method. The weighing system comprises a weighing sensor, a connecting cable and a vehicle-mounted intelligent terminal, wherein the vehicle-mounted intelligent terminal consists of an ARM embedded controller unit, a power supply unit, a positioning unit, a wireless data transmission unit, a digital I/O interface unit, a weighing signal amplifying and conditioning circuit, an analog-digital conversion circuit and a data storage unit. A bogie strain-based indirect type weighing method is adopted bycombining the own structure of a rail wagon. For the safe working characteristic of railway freight, the weight of the wagon is monitored in real time in the loading, transportation and unloading processes of the freight train, and whole-course dynamic weighing of the whole wagon and the whole route is realized. The vehicle-mounted weighing system has remote monitoring and failure diagnosis functions, is high in measuring result precision and stability, has the characteristics of reliable performance, low cost of monitoring equipment and low requirements on mounting and use conditions, and iseasy to popularize and use.

The invention discloses a method for automatically detecting a carriage of a freight train in a video. According to the method, the carriage of the freight train is subjected to automatic video detection on the basis of a computer vision technology. The method comprises the following steps of: acquiring a motion foreground of a train carriage in each frame of image of the video by division; estimating the running speed of the train according to the change of a carriage boundary in different frames of image; and splicing train carriage foreground images obtained in the step 1 according to the running speed of the train to obtain a panoramic image of the train carriage so as to accomplish automatic detection of the train in the video. The method has the advantages of high robustness, high accuracy, high real-time performance and the like, and is easy to implement; and a reliable key technology can be provided for the detection and identification of the loading condition of the carriage of the freight train in an intelligent train video monitoring system.

The invention discloses a wagon water leakage hole foreign matter detection method, relates to a water leakage hole foreign matter detection method, and belongs to the technical field of freight traindetection. The objective of the invention is to solve the problems of low efficiency and low accuracy of existing water leakage hole foreign matter detection. The method comprises the following steps: acquiring an image, extracting an image containing a water leakage hole area, constructing a sample data set, and training a target object segmentation network by using the sample data set; in the detection process, collecting a real vehicle passing image, and extracting and recording a water leakage hole part imaged as a to-be-detected water leakage hole part image; and inputting the to-be-detected water leakage hole part image into the target object segmentation network to obtain a predicted binary image, finding a maximum foreign matter connected domain if foreign matters are detected inthe binary image, calculating the area and height of the maximum foreign matter connected domain, and performing fault alarm when the area of the foreign matters is greater than an area threshold or the length is greater than a length threshold. The method is mainly used for detecting foreign matters in water leakage holes of wagons.

The invention discloses a freight train axle state monitoring and early warning system and method. The system comprises a transmission processing unit arranged at the head of a train, a data acquisition unit arranged in each carriage, and a ground monitoring unit, and the transmission processing unit is respectively connected with the data acquisition unit and the ground monitoring unit. The dataacquisition unit of each carriage is used for acquiring state data of an axle through a plurality of sensors; the Zig-Bee ad hoc network is adopted to transmit the data acquired by the sensor to the transmission processing unit for convergence; and the state data of the axle is sent to the ground monitoring unit, so that the state data of the axle is analyzed and processed, multi-stage pre-warninginformation and a corresponding fault diagnosis and maintenance proposal are formed and sent to the transmission processing unit, and thus a worker is helped to quickly locate a fault.

A railway wagon triangular hole foreign matter detection method belongs to the technical field of freight train detection. The objective of the invention is to solve the problems of low efficiency andlow accuracy of existing water leakage hole foreign matter detection. The method comprises the following steps: firstly, collecting images and extracting images containing a triangular hole area, building a sample data set, and wherein the sample data set comprises two sample data sets for triangular hole part positioning and a sample data set for triangular hole foreign matter calibration; respectively training a triangular hole positioning segmentation network and a triangular hole foreign matter segmentation network; in the detection process, collecting a real vehicle passing image, extracting a triangular hole part image, inputting the to-be-detected triangular hole part image into a triangular hole foreign matter segmentation network, and detecting whether foreign matter exists or not; and if the foreign matter exists, inputting the to-be-detected triangular hole part image into the triangular hole positioning segmentation network to carry out triangular hole region positioning,and then judging whether the foreign matter exists in the triangular hole. The method is mainly used for wagon triangular hole foreign matter detection.