878 results about "Rail transportation" patented technology

The invention discloses a railway freight train data acquisition method and system based on multi-sensor fusion, and relates to the technical field of railway transportation, and the method comprises the steps: detecting the operation state and position of a train in real time through wireless communication, and carrying out the self-inspection of each sensor when the train is detected to be about to enter a monitoring region; constructing a three-dimensional health state model of the train through three-dimensional reconstruction and synchronous positioning according to the comprehensive state data of the train; in combination with a three-dimensional health state model and a side cloud collaborative architecture, layered processing and dynamic optimization of train comprehensive state data are accelerated by using a quantum algorithm, and abnormal features are identified in real time; the abnormal features are analyzed through deep learning and a time sequence analysis algorithm, and alarm information is generated and fed back to the edge computing terminal; according to the method, the running state of the train and the cargo state data are deeply fused through the convolution operation of the three-dimensional health state model and the space-time diagram, so that the global perception capability of the data is improved.

The invention relates to the technical field of data processing, and provides a train dynamic scheduling method and a resource allocation system, through real-time acquisition and processing of heterogeneous data, generation of train priorities, and generation and verification execution of a scheduling scheme, fine management of a whole train scheduling process is realized, all steps cooperate with one another and are progressive layer by layer, and the scheduling efficiency is improved. Various complex factors in the train running process can be comprehensively considered, the limitation that a traditional dispatching mode depends on experience or a single index is changed, the scientificity, accuracy and timeliness of train dispatching decisions are remarkably improved, resources can be dynamically and efficiently allocated, train running arrangement can be optimized, and the train dispatching efficiency is improved. The transportation efficiency and the service quality are improved, and the ever-increasing diversified requirements of modern railway transportation are effectively met.

The invention provides a railway track periodical intelligent monitoring method based on the Internet of Things. The railway track periodical intelligent monitoring method comprises the steps that track geometric deformation data and track temperature distribution data are collected through sensing nodes deployed beside a track and on the track; extracting abnormal sections in the track geometric deformation data based on time window segmentation, and mapping the abnormal sections to a space grid of the track temperature distribution data to generate a deformation-temperature incidence matrix; calculating a track stress change gradient by combining the matrix and historical track temperature distribution data, and generating a track health degree evaluation index; and when the track health degree evaluation index meets a preset degradation condition, inputting the time sequence multi-source fusion data into a deep learning track state prediction module, and outputting a track failure risk level. According to the invention, the efficiency, accuracy and intelligent level of railway track monitoring can be improved, and the safety and reliability of railway transportation are guaranteed.

The invention provides a port operation optimization method based on big data and air rail transportation technology fusion, and belongs to the technical field of intelligent ports, and the method comprises the steps: obtaining port geographic data, setting a four-layer intelligent system, and collecting basic data based on the four-layer intelligent system; performing multi-modal data fusion processing on the basic data to obtain multi-modal fusion data, performing big data analysis based on the multi-modal fusion data, and constructing an intelligent decision model according to a big data analysis result; the dynamic scheduling of the air rail transport system is guided based on the output of the intelligent decision model, the dynamic scheduling is executed, the execution result is evaluated according to the real-time basic information obtained by the four-layer intelligent system, and then the port operation link is optimized according to the evaluation result; and designing a continuous learning mechanism based on an optimization result, and carrying out comprehensive optimization on the intelligent decision-making system and a port transportation link. And the port competitiveness is enhanced, and the data security and the autonomous controllable level are improved.

The invention discloses an electric locomotive rail obstacle identification method, device and system and electronic equipment, and relates to the technical field of rail transit. The method comprises the following steps: acquiring geographic information along a track and current positioning information, acquiring current radar information to perform obstacle detection when a driving state is determined according to the current positioning information, and performing a first alarm and acquiring current video image information when a suspected obstacle is detected; performing time-space synchronization and data fusion on the current positioning information, the current radar information and the current video image information, and inputting the fused data, the locomotive running state data and the geographic information into a pre-established obstacle recognition model to recognize a suspected obstacle to obtain a recognition result; and determining a risk level according to the identification result, so that the electric locomotive gives a second alarm according to the risk level and takes countermeasures. According to the invention, multi-source data is acquired through various sensors, accurate identification of small targets is realized, and the safety of railway transportation is guaranteed.

The invention discloses a railway vehicle-mounted ATP intelligent operation and maintenance system based on multi-source data fusion, and particularly relates to the technical field of high-speed railway signal system operation and maintenance, and the system comprises a data collection layer which is used for collecting data related to a railway vehicle-mounted ATP from a plurality of different data sources in real time; the data transmission layer adopts a reliable communication protocol to ensure that the data acquired from the data acquisition layer can be stably transmitted to the subsequent processing layer in real time; the data processing layer is used for cleaning, converting and fusing the transmitted data so as to improve the consistency and availability of the data; the intelligent analysis layer is used for carrying out intelligent analysis on the fused data; and the application layer provides a visual interface for operation and maintenance personnel and displays the analysis result and the operation and maintenance suggestions obtained by the intelligent analysis layer. According to the railway vehicle-mounted ATP intelligent operation and maintenance system based on multi-source data fusion, the ATP operation and maintenance efficiency can be remarkably improved, the operation and maintenance cost is reduced, and safe and smooth railway transportation is guaranteed.

The invention relates to the technical field of railway transportation safety monitoring, and discloses a railway operation environment intelligent monitoring and risk assessment system, which comprises a railway environment multi-source data acquisition module, a track potential safety hazard detection module and a risk assessment and processing unit, and is also provided with a data fusion and preprocessing module. The acquisition module acquires various types of environmental data in real time, the detection module accurately identifies hidden danger track sections, and the risk assessment and processing unit analyzes hidden danger influences, assesses risk levels and formulates strategies. And the data fusion and preprocessing module improves the data quality. The beneficial effects are obvious, and hidden dangers can be comprehensively monitored in real time and accurately positioned; risks are scientifically evaluated, and coping strategies are reasonably formulated; data processing is optimized, and a reliable decision basis is provided; the operation and maintenance cost is reduced and the operation efficiency is improved; the device adapts to complex environments, guarantees safe development of railways, and meets safe operation requirements of railways.

Disclosed in the present invention are a locomotive number tracking method and system. The locomotive number tracking method comprises: handling a shunting route of a locomotive number and acquiring station yard signal device representation information; acquiring the running direction of the locomotive number on the basis of the station yard signal device representation information; acquiring an auxiliary tracking data set on the basis of a station yard signal device logic diagram and the running direction of the locomotive number, the auxiliary tracking data set comprising the locomotive number, a signal machine, and a route locking section; when the state of a track section in the shunting route changes, acquiring track section representation information; and matching the track section representation information with the auxiliary tracking data set to search for a locomotive number movement starting signal device and target signal device so as to track the locomotive number. The present invention can improve the accuracy and reliability of locomotive number tracking and point reporting, thereby improving railway transportation working efficiency.

The invention provides a railway automatic goods yard loading and unloading operation method, and relates to the technical field of railway goods yards, and the method is characterized in that a railway automatic goods yard goods loading and unloading operation system comprises a loading and unloading machine tool positioning system, a goods positioning system and a loading and unloading machine tool management system; the railway freight yard is provided with a freight car loading and unloading operation area, a warehouse operation area and a railway freight car loading and unloading operation area, and goods are loaded and unloaded in different areas. The loading and unloading machine tool management system controls the loading and unloading machine tools to carry out truck unloading operation and truck loading operation in the truck loading and unloading area, carry out warehousing operation and ex-warehouse operation in the warehousing operation area and carry out railway loading operation and railway unloading operation in the railway loading and unloading area. According to the method, rapid loading and unloading, efficient stacking and intelligent management of goods can be achieved, and the efficiency and competitiveness of railway transportation are improved; meanwhile, labor cost can be reduced, operation risks are reduced, and the automation degree of the railway freight yard is improved.

The invention discloses a ballastless track concrete bonding interface mechanical state testing method, belongs to the technical field of track traffic engineering, and realizes a multi-field coupling loading test on a ballastless track interlayer test piece by constructing an interlayer mechanical testing device comprising a servo loading mechanism, a DIC technology and finite element mechanical analysis. A high-speed camera is adopted to synchronously record the whole process of interlayer interface damage, an interface stress distribution cloud picture is obtained in combination with a distributed strain patch, and a load-displacement curve and interlayer slippage data are synchronously collected. A refined finite element model containing a cohesion unit is established based on measured data, and iterative fitting of a simulation result and test data is achieved by dynamically adjusting interface damage parameters. According to the method, the limitation of a traditional single-point stress test is broken through, space-time multi-scale analysis of interlayer mechanical behaviors is achieved, the technical problems that an interlayer interface failure mechanism is not clear and simulation model parameters are difficult to calibrate are solved, and a novel test is provided for durability evaluation of a ballastless track structure.

The invention discloses a turnout switch machine fault diagnosis and prediction model method based on artificial intelligence. The method comprises the following steps: step 1, data acquisition; step 2, data preprocessing; step 3, feature extraction; step 4, model training; 5, verifying the model; 6, deploying the model; step 7, fault diagnosis and prediction; an artificial intelligence algorithm is introduced to automatically analyze data and identify faults, safe operation of equipment is ensured, instant fault response is realized through real-time monitoring and rapid data processing, the equipment safety is improved, an automatic modeling tool is adopted to simplify the construction process, non-professional personnel operation is facilitated, system deployment is accelerated, and the system reliability is improved. The method combines expert experience and data driving to form a hybrid model, improves the adaptability and accuracy of the model, integrates multi-sensor data to form a unified monitoring platform, enhances the comprehensiveness and accuracy of fault diagnosis, and provides powerful guarantee for the safety and efficiency of railway transportation.

The invention relates to the technical field of intelligent scheduling, in particular to a railway vehicle intelligent scheduling and monitoring system which comprises a data acquisition module, a data processing module, an intelligent scheduling module, a priority adjustment module, a scheduling scheme generation module and a visualization module. The data acquisition module acquires multi-source data related to train operation in real time through a sensor and monitoring equipment, the data processing module performs preprocessing and feature extraction on the multi-source data, the intelligent scheduling module generates a preliminary scheduling scheme by adopting an intelligent algorithm based on the extracted feature data, the priority adjustment module performs priority adjustment, and the scheduling module performs scheduling according to the preliminary scheduling scheme. The scheduling scheme is ensured to adapt to real-time demand changes, the scheduling scheme generation module generates a complete train scheduling scheme, and the visualization module displays the scheduling scheme to a dispatcher and an administrator through a graphical interface; according to the method, through real-time dynamic scheduling and simulation optimization, the operation efficiency and safety of railway transportation are improved, delay is reduced, and the satisfaction degree of passengers is improved.

The utility model provides a steel plate seat frame and a railway transport vehicle, and relates to the technical field of steel plate transportation, the steel plate seat frame provided by the utility model comprises a seat frame body, a first upright post and a second upright post, the extending directions of the first stand column and the second stand column in the using state are both configured to be parallel to the thickness direction of the steel plate. The first stand column is in sliding fit with the seat frame body in the first direction and is in rotating fit with the seat frame body around the first direction, and the first stand column is used for limiting the position of the steel plate in the first direction. A limiting structure used for limiting or releasing limiting of the position of the first stand column relative to the seat frame body is arranged between the first stand column and the seat frame body. The second stand column is detachably connected with the seat frame body and used for limiting the position of the steel plate in the second direction. The steel plate seat frame can prevent steel plates from damaging a transport vehicle in the transportation process, and meanwhile has the advantage of being convenient to store.

The invention provides a railway safety protection system, which comprises a laser correlation detection module formed by a laser transmitting end and a laser receiving end symmetrically arranged on two sides of a railway opening and used for generating a plurality of groups of laser grating networks and monitoring a light beam shielding event in real time; the intelligent analysis module is used for identifying the type of an intrusion target according to the shielding signal of the laser grating network and analyzing a target movement track to filter false triggering; the alarm linkage module is used for triggering a sound-light alarm after the invasion is confirmed, closing a railway barrier gate and sending alarm information to a control center; the monitoring integration module is used for being linked with a video monitoring system to call the high-definition image of the intrusion area and assisting in judgment through AI image recognition; and the environment self-adaption module is used for integrating a temperature and humidity sensor and a wind speed sensor to dynamically adjust a laser sensitivity threshold value to adapt to environment change. Personnel invasion at the railway crossing of the thermal power plant is monitored through a laser correlation technology, so that unauthorized personnel or vehicles are prevented from entering a railway transportation area of the thermal power plant, and the operation safety of the thermal power plant is guaranteed.

A comprehensive system designed for the predictive maintenance of railcar wheel bearings, integrating multiple sensor modalities. The system includes thermography for temperature mapping, vibration analysis via a three-axis accelerometer, rotational velocity measurement using a rate gyro, and optical spectrometry for lubricant analysis. Each modality contributes to a holistic understanding of bearing health, enhancing maintenance strategies, safety, and operational efficiency in rail transportation.

The invention discloses a multi-vehicle cooperative intelligent marshalling speed regulation method for railway transportation of power batteries. The method comprises the following steps: establishing state characteristics of each transportation truck, and constructing a position sensitive damage cost function for evaluating the risk cost of each truck at different marshalling positions according to the state characteristics; in the railway vehicle transportation process, an event-driven time pane dynamic optimization method is adopted, a vehicle marshalling and train speed control curve is dynamically updated according to state parameters collected in real time, and in the optimization process, a variable damping distribution strategy of a coupler and a cooperative vehicle speed curve generation algorithm are adopted, so that the train speed control curve is dynamically updated. Meanwhile, time dispersion is carried out on coupling impact events through an impact time peak shifting strategy; and when the comprehensive risk index of any transport truck exceeds a preset threshold value, an emergency re-marshalling strategy based on the energy absorption remaining amount of the battery packaging unit and the coupler health degree is executed. The method can comprehensively consider the thermal characteristics of the power lithium battery, the dynamic response of the vehicle and the risk evolution.

The invention discloses a manufacturing defect-oriented multi-scale composite material mechanical property prediction method, and belongs to the technical field of composite material mechanical property analysis. The method comprises the following steps: based on a multi-scale representative volume element (RVE) theory, respectively constructing parameterized models containing pores and fiber dislocations in a microscopic scale and a mesoscale; the equivalent elastic parameters under each scale are calculated through a finite element numerical homogenization technology, and an agent model is constructed in combination with an artificial neural network, so that the calculation cost is remarkably reduced, and the high-efficiency cross-scale prediction of the rigidity and strength performance of the composite material is realized. The method overcomes the defect of defect modeling of a traditional model, has high precision and high efficiency, and is suitable for performance evaluation and optimization design of composite material structures in the fields of aerospace, rail transit and the like.

The invention discloses a single board detection system and method, and relates to the field of rail transit, and the system comprises an adapter plug-in box which is provided with at least one first slot and at least one second slot, the first slot is used for connecting a detected plug-in, and the second slot is used for connecting an accompanying test plug-in; and the main control assembly is connected with the adapter plug-in box and is configured to send test information corresponding to the tested plug-in to the accompanying test plug-in when the tested plug-in is a first type of plug-in, determine a test result of the tested plug-in based on test data, and output a preset test signal to the tested plug-in when the tested plug-in is a second type of plug-in, obtaining a test result of the tested plug-in; and the accompanying test plug-in is configured to load configuration parameters corresponding to the test information so as to disguise the accompanying test plug-in as a target interaction plug-in of the tested plug-in, then interact with the tested plug-in and collect test data in the interaction process. According to the invention, the cost of developing special detection equipment for different plug-in types can be reduced, and the universality of the detection system is improved.

The invention discloses a railway axle counting equipment management system which comprises a hyper-fusion sensing terminal, an edge intelligent diagnosis unit, a digital twin management platform, a block chain evidence storage subsystem and an intelligent interaction terminal. The super-fusion sensing terminal is integrated with an orthogonal magnetic head array, a vibration sensor, a temperature and humidity sensor, a tilt angle sensor, a laser ranging module, a current sensor and a dust concentration sensor; the edge intelligent diagnosis unit is internally provided with a lightweight neural network and a fault feature knowledge graph; the digital twinborn management platform can construct a three-dimensional digital twinborn body of axle counting equipment, and integrates a multi-physics field coupling simulation module; the block chain evidence storage subsystem can perform uplink evidence storage on the fault original signal and the maintenance work order record; the intelligent interaction terminal comprises a three-dimensional visual interface and a mobile operation and maintenance App. The intelligent level of railway axle counting equipment management can be effectively improved, railway transportation safety and operation efficiency are enhanced, and the method is suitable for various scenes such as high-speed railways and urban rail transit.

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.

The invention relates to the technical field of railway transportation safety, in particular to a multi-source data fusion train area sensing and active protection system and method.The method comprises the steps that a data acquisition module obtains obstacle sensing data in front of a train and receives state and position data reported by a personnel terminal; the space-time reference and electronic fence management module provides unified positioning and map services and generates an electronic fence according to a plan; the multi-source situation fusion module carries out fusion processing on the information to generate a global dynamic situation; the real-time risk quantification module calculates a collision time TTC based on the situation, and outputs an evaluation result according to a dynamic risk model; the intelligent early warning decision-making module generates a graded early warning instruction containing specific action guidance; and finally, the early warning cooperative execution module synchronously distributes the instruction to the train and personnel terminal. According to the invention, the conversion from passive monitoring to active early warning is realized, and the safety protection capability of driving and operation in a complex environment is improved.

The invention relates to the field of image detection, discloses a dynamic analysis system for cracks of a railway track, and aims to solve the problems of strong background interference, high error and omission ratio and single dynamic analysis dimension of track crack detection in the prior art. The system is characterized by comprising a texture library construction module, an image acquisition module, an image processing module, a texture expansion module, a damage judgment module and a dynamic analysis module. By constructing a multi-dimensional texture library and combining with an image processing and texture expansion module, accurate identification and hierarchical judgment of cracks are realized; and performing damage assessment and development trend prediction on the crack through multi-characteristic index damage judgment and dynamic analysis. According to the method, accurate, comprehensive and dynamic monitoring and evaluation of the railway track cracks can be realized, the false alarm and omission ratio is reduced, the maintenance efficiency and accuracy are improved, and the railway transportation safety is guaranteed.

The invention relates to the technical field of railway transportation dust treatment, and particularly discloses an environment-friendly dust suppressant for coal transportation and a preparation method thereof.The environment-friendly dust suppressant is prepared from, by weight, 36-44 parts of functional components, 6-8 parts of modified sodium alginate, 0.02-0.06 part of initiator, 2-3 parts of phytic acid, 2.8-3.2 parts of genipin and 320-360 parts of deionized water; the functional component and the modified sodium alginate are added, and the functional component contains a xanthan gum structure, a Schiff base structure, a silk fibroin structure, an amino group and an ester group, so that the functional component can be entangled with a molecular chain structure of the modified sodium alginate to form an intertwined molecular interpenetrating network structure; meanwhile, the functional components have unsaturated double bonds capable of being chemically crosslinked with the modified sodium alginate, so that the wind erosion resistance, the mechanical property, the water resistance and the degradability of the environment-friendly dust suppressant are improved under the action of the structures.

The invention provides intelligent assistant software of a motor train unit and a fault diagnosis and disposal method thereof, and belongs to the technical field of railway transportation. Through cooperative work of the central control unit and multiple modules, intelligent closed-loop management of fault processing of the motor train unit is realized: the system can analyze HMI fault information in real time and automatically match an optimal maintenance scheme, and by combining three-dimensional space positioning, a dynamic circuit schematic diagram and a fault processing scheme, the fault positioning and processing efficiency is remarkably improved; through torque standard automatic pushing and visual guidance, the risk of manual operation errors is effectively reduced; the emergency response time is greatly shortened based on an automatic notification mechanism of a fault level and generation of a personalized disposal scheme; through intelligent linkage and data sharing among the modules, whole-process auxiliary decision support from fault discovery, diagnosis analysis to disposal implementation is formed, normalization and accuracy of maintenance operation are improved, and system performance is continuously optimized through historical data accumulation and adaptive learning.

The embodiment of the invention provides a rail distance measuring device for rail transit, and relates to the technical field of rail distance measurement. A track distance measuring device for track traffic comprises a measuring body, two sets of moving assemblies, a marking assembly, a driving part, an auxiliary measuring mechanism and a sealing assembly, and the two sets of moving assemblies are located on the two sides of the measuring body respectively and used for walking on a track; the auxiliary measuring mechanism is mounted on one side of the measuring body, and two ends of the auxiliary measuring mechanism are respectively contacted with the inner walls of the two groups of rails. High-precision track gauge measurement is achieved through the measuring wheel and the encoder, track gauge abnormity is sensed in real time in combination with the side rolling wheel and the displacement sensor, automatic marking is achieved in cooperation with the pump body, the storage box and the liquid outlet pipe, and leakage is prevented through the sealing assembly in the non-working state; meanwhile, full-automatic control over rolling wheel avoiding, sealing relieving and liquid spraying marking is achieved through a driving part linkage mechanism, and the track detection precision, efficiency, the intelligent level and the device reliability are remarkably improved.

To enable a user to access a station without crossing a track.SOLUTION: This track traffic system comprises a track including a travel path with which a running wheel can come into contact, and a guide rail that guides a traveling direction of a vehicle by being in contact with a guide wheel outside the running wheel in a width direction. The track includes a plurality of single-line station sections in which a first travel path which is the travel path is disposed and which has a station facing only the first travel path, a double-line section in which the first travel path and a second travel path which is the travel path disposed in parallel with the first travel path to move the vehicle in a reverse direction of the first travel path are arranged, and a branch section which has a branch path for changing a travel destination of the vehicle between the first travel path and the second travel path and which is adjacent to the single-line station sections. The guide wheel is disposed only on one side in the width direction with respect to the vehicle body.SELECTED DRAWING: Figure 1

The invention relates to the technical field of coupler state detection, in particular to a full-automatic coupler multi-sensor state feedback and dynamic characteristic analysis system, which comprises a data acquisition module, a configuration sensor group, a real-time acquisition module and a dynamic characteristic analysis module, the original data of the full-automatic car coupler comprises tension data, displacement data, temperature data and vibration data; and the data preprocessing module is used for preprocessing the original data, and the preprocessing comprises time synchronization, noise filtering and normalization processing. According to the full-automatic coupler multi-sensor state feedback and dynamic characteristic analysis system provided by the invention, through multi-sensor fusion and machine learning prediction, high-precision, real-time and intelligent full-automatic coupler health management is realized, the safety, reliability and maintenance efficiency are improved, and a more efficient and safer technical guarantee is provided for railway transportation.

The utility model discloses a frame trolley adaptive to sleeper replacement of a steel beam open bridge floor, which is characterized in that the frame trolley comprises a pair of walking frames, and the two walking frames are arranged in parallel; the suspender and the plurality of connecting rods are respectively connected between the two walking frames; the plurality of walking wheels are respectively mounted at the bottom of the walking frame, so that the walking frame can move along a walking track of an open bridge floor; and the lifting hole is connected to the lifting rod and used for installing a chain hoist, and the bridge sleeper is lifted and carried on the walking track through the lifting hole and the walking wheels by the walking frame. The frame trolley has the advantages that the frame trolley can be used for transporting and installing the bridge sleeper on the steel beam open bridge floor, the working efficiency of replacing the composite material bridge sleeper can be improved, manpower is saved, meanwhile, the skylight occupancy rate can be reduced, and the influence on railway transportation is reduced.

The invention provides an intelligent molten iron transportation system and an intelligent molten iron transportation operation method, and the system comprises an iron ladle whole-process management and control subsystem which is used for generating an iron ladle scheduling instruction according to an existing iron ladle resource state under the condition that a blast furnace tapping plan, a steelmaking plan or a steel rolling plan is received, generating a hot metal car dispatching instruction according to the current hot metal car use state and the line resource state; the intelligent molten iron vehicle monitoring subsystem is connected with the molten iron ladle whole-process management and control subsystem and is used for generating a transportation path instruction containing a transportation path according to the received dispatching instruction and transmitting the transportation path instruction to the intelligent molten iron automatic driving system; and the intelligent molten iron automatic driving system is connected with the intelligent molten iron vehicle monitoring subsystem and is used for controlling the molten iron vehicle to arrive at a specified tap hole to start receiving iron according to the transportation path instruction and controlling the molten iron vehicle to transport the heavy package to a steelmaking or steel rolling heavy package parking place after the iron receiving is finished. The defect that in-plant railway transportation informatization and intelligentization are insufficient in the prior art is effectively overcome.

The invention provides a train material volume detection method, device and equipment based on millimeter wave radar, and relates to the technical field of railway transportation intelligent detection and three-dimensional point cloud data processing. The method comprises the following steps: acquiring point cloud data obtained by scanning a train through a millimeter wave radar, and preprocessing the point cloud data to obtain a train main body point cloud; wherein the point cloud data comprises position coordinates of points; on the basis of density change characteristics of the train main body point cloud in the train advancing direction, carriage connection gaps are recognized; based on the compartment connection gap and the preset compartment length, compartment section point clouds are divided from the train main body point clouds; and based on the coordinates of the points in the compartment section point clouds in the train height direction, material surface point clouds are extracted, and material volume calculation is carried out based on the material surface point clouds. The system can stably run in a loading building environment with large dust, strong shielding and complex illumination, and provides a reliable technical means for real-time loading monitoring of bulk materials of a train.