47 results about "Metro system" patented technology

The invention discloses a subway safety risk and emergency capability assessment method and device based on scene construction. The method comprises the following steps: acquiring and preprocessing subway accident data; subway risk area accident scene construction is carried out based on the preprocessed subway accident data; performing risk assessment on each risk area of the subway based on the accident scene of the risk area of the subway; determining a major risk event according to the risk assessment result; configuring a corresponding emergency task according to the major risk event, and performing emergency drilling according to the emergency task to obtain drilling data of each drilling role in the drilling process; and based on the drilling data of each drilling role and the emergency preparation data of the subway system, carrying out emergency capability evaluation to obtain an emergency capability evaluation result. The method has the remarkable effects that the emergency capability evaluation model is constructed to evaluate the emergency capability, so that the overall emergency capability of the urban subway system is improved, and a powerful guarantee is provided for safe operation of the subway.

The invention discloses a subway transport capacity matching and passenger flow collaborative management and control method based on multi-agent reinforcement learning, and relates to the technical field of urban rail transit operation management. The method comprises the following components: S1, a subway system digital twin model construction step, S2, a multi-agent reinforcement learning training environment construction step, S3, an extreme scene simulation and agent training step, S4, a virtual-real data interaction and model iteration step and S5, an actual system deployment and decision execution step. According to the method, a high-fidelity digital twin model of a subway system is constructed, extreme scenes including passenger flow retention caused by rainstorm and instantaneous large passenger flow of a large competition field are simulated in the model, and a multi-stage sampling method based on scene clustering is combined to perform training for ten millions of times; and the decision-making capability and the cooperation efficiency of the multiple agents in the face of complex and extreme conditions are obviously improved.

The invention discloses a multi-scene distributed optical fiber acoustic sensing vibration data fusion early warning platform, and relates to the technical field of scene vibration early warning. A vibration analysis and sorting module analyzes collected vibration signals by using a multi-source data fusion algorithm, identifies and classifies the characteristics of vibration sources, automatically performs priority sorting on the vibration sources, and performs early warning on the vibration sources; an area with potential threats is selected for secondary analysis and real-time monitoring; and the strategy generation and early warning module automatically predicts the risk level of each region of the subway according to the vibration source identification and analysis result, and formulates a coping strategy based on the priority and the risk level. According to the early warning platform, through multi-sensor data fusion and an intelligent priority ranking mechanism, the precision and timeliness of vibration monitoring are remarkably improved, and real-time dynamic early warning and intelligent resource management are realized, so that efficient and safe operation of a subway system is ensured.

The invention provides a BIM-based subway FAS system intelligent design method and system, and relates to the technical field of BIM technology and FAS system intelligent design, and the method comprises the steps: obtaining two-dimensional information providing data of a subway FAS system, and carrying out the preprocessing; performing compliance verification on the preprocessed two-dimensional information providing data through BIM software; according to the verified two-dimensional information providing data, performing three-dimensional parameterization design in BIM software; based on the three-dimensional parameterized design, automatic modeling is carried out by using equipment data; according to the intelligent arrangement of the subway FAS system, a three-dimensional information model is constructed through BIM software. According to the method, the multi-dimensional FAS system information model is accurately generated, the design efficiency and quality are improved, resource utilization is optimized, multi-specialty collaborative design is promoted, the construction and operation and maintenance efficiency is improved, the design compliance and traceability are enhanced, and an innovative solution is provided for the field of subway FAS system design.

The invention relates to the technical field of battery management, and discloses a lithium battery intelligent management and temperature adaptive adjustment method and system in a severe environment. The method comprises the following steps: synchronously acquiring multi-dimensional environment data to establish a monitoring database aiming at a severe environment of a subway UPS (Uninterrupted Power Supply) system; calculating an environmental adaptability threat index by adopting a Kalman filtering algorithm; generating differentiated charging and discharging management parameters in combination with the threat index and the UPS switching demand; inverting the actual working temperature of the battery through the internal resistance change; when the temperature affects the power supply capacity, the carbon fiber heating film self-heating system is started, and the optimal working state of the battery is maintained by adopting a PID algorithm. According to the application, a threat evaluation system and a differentiated charging and discharging management strategy based on multi-environmental factor fusion are established, and through internal resistance inversion temperature detection and PID self-heating control, the power supply reliability and the battery service life of the UPS system in severe environments such as a subway river-crossing tunnel and the like are remarkably improved.

The invention relates to a subway BOM ticket business processing method and system based on artificial intelligence, and solves the problems that the verification accuracy is reduced, the processing efficiency is low and the overall adaptability is insufficient due to the fact that an existing subway BOM system excessively depends on a single electronic data dimension and a fixed process. The method comprises the following steps of: extracting and verifying visual and electronic characteristics by acquiring ticket card images and electronic data and adaptively switching acquisition modes; and when the verification is passed, performing secondary verification by using the multi-modal knowledge graph and combining space-time anomaly enhancement to associate the preferential rule. And when the verification fails or the features do not reach the standard, analyzing the emotion of the user, diagnosing an abnormal root cause, and dynamically optimizing system parameters to generate guidance by taking the abnormal root cause as a target. And finally, intelligent ticket business routing is carried out based on reinforcement learning or an adaptive scheme is executed according to risk assessment, so that whole-process intelligent processing is realized. The method has the advantages that dynamic adaptation of metro ticket business processing is achieved, and efficiency and recognition precision are improved.

The invention discloses a subway carriage fire hazard temperature prediction method comprising the following steps: carrying out fire hazard working condition simulation on a subway carriage to obtain fire hazard experiment data, and preprocessing the fire hazard experiment data to obtain a preprocessed data set; constructing an initial temperature prediction model based on the multi-layer feed-forward network and a genetic algorithm; training the initial temperature prediction model based on the preprocessed data set to obtain a temperature prediction model; and carrying out compartment top temperature prediction on the subway compartment through the temperature prediction model. According to the method, a temperature database is constructed based on a subway carriage fire numerical model, and proper hyper-parameter values are determined. A GA-BPNN algorithm model composed of an input layer, a hidden layer and an output layer is adopted to predict ceiling temperature distribution of subway train carriage fire, and operation management of a tunnel subway system is expected to be further improved.

The invention relates to a subway AFC system pressure test method and system based on protocol-level virtual signal injection, and the method comprises the steps: presetting a plurality of passenger flow modes according to different conditions in an actual application scene; configuration of dynamic parameters and load intensity is carried out on each passenger flow model, and a virtual passenger behavior sequence conforming to a statistical law is generated in real time based on the dynamic parameters; analyzing the virtual passenger behavior sequence into discrete events with time sequence labels, and mapping each event into a protocol instruction conforming to an AFC system communication specification by using a multi-protocol template library; generating a high-concurrency signal based on the protocol instruction, injecting the signal into a real AFC central server, and dynamically adjusting the test load intensity and the passenger flow mode to carry out a pressure test; multi-dimensional data in the pressure testing process are collected, performance analysis is conducted, and the system is used for achieving the method. Compared with the prior art, the fault positioning capability, the testing efficiency and the testing precision are improved, and the testing cost is greatly reduced.

This invention provides an active bias magnetization cancellation method and system based on grid-side reverse DC injection. Based on metro operating data, a bias magnetization feedforward prediction model is used to predict the DC bias magnetization trend caused by stray currents. Based on the DC current value and the DC bias magnetization trend, a hybrid feedback controller integrating sliding mode control and proportional-integral-derivative (PID) algorithm is used to generate a compensation current signal. Based on the compensation current signal, a silicon carbide-based bidirectional DC-DC converter installed at the transformer neutral point is controlled to output a reverse DC injection current with controlled amplitude and polarity. This current is used to generate a magnetomotive force in the transformer opposite to the DC bias magnetization trend, thus actively canceling the transformer's DC bias magnetization. This shifts the focus of the control from the traditional metro side to the grid side, eliminating the need to modify the metro system. Active bias magnetization cancellation can be achieved simply by connecting a silicon carbide-based bidirectional DC-DC converter on the grid side, reducing modification costs and complexity, and contributing to the safe and stable operation of the power system.

This application discloses a method, apparatus, and electronic device for determining a renovation scheme for leaky cable lines in subway systems, relating to the field of communication technology. The method includes: constructing a structured dataset based on basic data of the subway system and characteristic data of leaky cable lines within the system; determining the type of leaky cable line based on the structured dataset; if the leaky cable line type is an existing, usable type, using a first preset scheme as the renovation scheme; and if the leaky cable line type is a type requiring new construction, using a second preset scheme as the renovation scheme. This application solves the technical problems of high cost, long construction period, and high risk in existing subway leaky cable line renovation schemes.

The present application provides a method and system for optimizing and adjusting subway ventilation and air conditioning, which relates to the field of air conditioning adjustment technology. The method includes: performing seasonal time zone division, configuring the subway air conditioning system based on a fixed control mode, activating a scene-adapted target control mode, transmitting back to an intelligent module based on a distributed sensing device, generating air conditioning adjustment data, and then feeding back to the subway air conditioning system for air conditioning adjustment, simultaneously performing dynamic monitoring to determine control feedback information, and determining relay protection response, and finally performing abnormal operation control analysis and feedback decision-making. The present application mainly solves the problem that traditional subway ventilation and air conditioning adopts a fixed operating mode, cannot be dynamically adjusted according to the real-time environment, and cannot detect abnormalities and provide feedback in a timely manner. It realizes dynamic adjustment of ventilation and air conditioning equipment, reduces energy consumption, improves the energy utilization efficiency of the subway system, reduces operating costs, and improves passenger safety.

The application provides a metro DC traction power supply system catenary fault ranging method and device, comprising: obtaining fault recording data generated when the double-sided protection device acts, wherein the fault recording data comprises feeder voltage and feeder current; based on the feeder current at any point in time, the feeder current at the next time is obtained through a prediction algorithm, in response to the prediction result meeting the preset condition and the feeder having voltage, the fault starting point of the double-sided protection device is determined; data processing is performed on the two fault starting points to obtain ranging data points; the feeder voltage and the feeder current of the ranging data points are subjected to fault ranging through a fault ranging algorithm to determine the fault point position of the catenary. The metro DC traction power supply system catenary fault ranging method and device provided by the application can realize fault ranging by analyzing the recording file, and improve the reliability and performance of the metro system.

This application discloses a subway BAS system based on wireless communication technology, including: a station-level network and a field-level network; the station-level network includes: an automation control module; a station local area network of an integrated monitoring system, which is connected to the automation control module via a main cable or an Ethernet cable; the field-level network includes multiple electromechanical devices and multiple ground-level I / O module boxes; each electromechanical device and each ground-level I / O module box is respectively connected to a monitoring-end wireless communication module; the electromechanical devices and each ground-level I / O module box are respectively signal-connected to the automation control module through their corresponding monitoring-end wireless communication modules. Therefore, this disclosure is beneficial for improving communication capabilities, overcoming the transmission distance limitations of hard-wired connections; reducing cable laying and equipment wiring work, saving construction materials and labor costs, greatly reducing project investment; and providing good scalability.

1. Name of the product of this design: Self-service ticket processing terminal. 2. Purpose of this appearance design product: This appearance design product is a new type of equipment in the subway AFC system. It is placed in the station hall and can display query information in both Chinese and English through the touch screen and passenger display, including train timetables, ticketing policies, ticketing instructions, fare tables, operating hours, etc. Passengers can also use this product to complete self-service ticket processing related matters, such as ticket timeout, over-distance update, ticket consumption record inquiry, etc. The self-service ticket processing terminal can receive various comprehensive information from the background. 3. The key design point of this design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present invention relates to a renewable energy system that harnesses the air pressure generated by high-speed trains and heavy vehicles to produce electricity. Air pressure created by the motion of these vehicles is captured through strategically designed air-guided tunnels and directed into reinforced concrete chambers housing cylindrical turbines. The turbines convert kinetic energy into mechanical energy, which is subsequently transformed into electrical energy via a generator. A magnetic augmentation system ensures baseline energy production during idle periods, while Supervisory Control and Data Acquisition (SCADA) integrated with Artificial Intelligence (Al) monitors and optimizes system performance. This system is adaptable to railway tracks, metro systems, and heavy vehicle corridors, offering a cost-effective, environmentally friendly solution for renewable energy generation with zero carbon emissions and minimal environmental impact.

This application relates to the technical field of rail transit, and particularly to a test method and system for a controller of a subway system; the method includes: obtaining a test instruction, based on the test instruction, obtaining the current operating state of the train, based on the current operating state, obtaining a test strategy, based on the test strategy, obtaining corresponding test data, and generating a test result based on the test data; selecting a corresponding test strategy according to the current operating state of the train for testing helps to understand in real time whether there is an abnormality in the traction system during the operation of the train, thereby improving the accuracy of the test.

The present invention discloses a rapid response method for flood control equipment at subway entrances and exits based on water level situation analysis. The method collects water level data from different subway entrances and exits through monitoring video images, uses inverse perspective transformation to correct image distortion, and applies threshold segmentation technology to extract the water level line position to ensure monitoring accuracy. Combined with a seasonal gated recurrent unit neural network, the method predicts water level trends and generates a decision tree-based flood control measures model to achieve rapid response of flood control equipment. A bidirectional Bayesian decision model is used to assess the risk of flood disasters at subway entrances and exits and formulate corresponding prevention and control measures. The present invention improves the real-time and accuracy of water level situation analysis and the response efficiency of flood control measures. Its advantage lies in its ability to accurately monitor the water level situation at subway entrances and exits in real time, rapidly responding to different water level conditions through a decision tree model, and thus effectively reducing the impact of floods on the subway system and ensuring the safety of passengers and facilities.

The utility model discloses a subway single crossover shield tunneling machine propelling device which comprises a hydraulic cylinder body, a base is fixed to the bottom of a cylinder body of the hydraulic cylinder body, a circulating pump is fixed to the base, a cooling pipe is wound on the outer side of the cylinder body of the hydraulic cylinder body, and the two ends of the cooling pipe are connected with a liquid inlet pipe and a liquid return pipe in a sealed mode respectively. The liquid inlet pipe is connected with the liquid inlet end of the circulating pump in a sealed mode, the liquid return pipe is connected with the liquid outlet end of the circulating pump in a sealed mode, a support is further fixed to the cylinder body of the hydraulic cylinder body, and a plurality of cooling fans are fixedly embedded into the support. According to the propelling device of the subway single crossover shield tunneling machine, the hydraulic cylinder body can be continuously and efficiently cooled, high-temperature operation of the hydraulic cylinder body is avoided, the good working performance of the hydraulic cylinder body is kept, the service life of the hydraulic cylinder body is prolonged, and therefore the working efficiency of the shield tunneling machine is improved, and the maintenance cost is reduced.

The invention discloses a method, device and system for adjusting the departure frequency and a storage medium. The method, device and system are used for adjusting the departure frequency in real time. The method comprises the following steps: in the operation process of the shortcut system, analyzing the increment of passengers in a waiting area, and counting the decrement of the passengers in the waiting area in real time; determining the total number of passengers in the waiting area according to the increment and the decrement of the passengers in the waiting area; and determining the departure frequency of the shortcut train according to the total number of passengers in the waiting area. By adopting the scheme, the total number of actual passengers needing to take the bus can be determined according to the real-time change of the passengers in the waiting area, and the departure frequency is determined according to the total number of the passengers, so that the departure frequency is adjusted in real time, the departure flexibility is improved, and the dependence on personnel is reduced.

The invention discloses a calculation method and system for realizing metro and bus transfer preferential based on a riding code, and the method comprises the steps: building a passenger identity unique recognition mechanism through configuring multi-dimensional parameters including a time window, a preferential amount and transfer type limitation; a cross-system unified management platform is constructed, and data interaction and preferential cooperative calculation of subways and buses are realized; the subway system submits time-space transaction data after completing OD pairing and fee calculation, and the public transportation system transmits riding fee data in real time; the platform dynamically calculates a discount amount based on a preset rule and historical travel data, returns a result to the ticketing system for settlement, establishes a delay transaction processing mechanism, and audits abnormal transactions through night batch processing; according to the invention, automatic identification and dynamic preferential calculation technologies can be realized, non-sensitive transfer preferences are realized, the passenger operation process is simplified, the attraction and transfer convenience of a public transport system are improved, the travel experience is integrally optimized, and the operation efficiency is improved.

The application discloses a rail train and a bogie mounting structure. The bogie mounting structure comprises a bogie bearing structure, an end structure and a bogie. The bogie bearing structure comprises a bogie side beam, an end side floor, a pillow side floor, a pillow inner floor and a long floor. The end structure comprises a pillow beam, a traction beam and a transition plate. The pillow beam and the traction beam are partially embedded in the interior of the bogie bearing structure. The bogie comprises rubber wheels, steel wheels, guide wheels, a rotary support structure and a framework. The rubber wheels are located outside the steel wheels. The framework is fixed below the end structure through the rotary support structure. A side beam notch is arranged below the bogie side beam and located at the front and back positions of the pillow beam. The side beam notch is distributed at the corresponding position of the rubber wheels to provide a movement space for the rubber wheels. The application solves the problems of small radius and large slope climbing of a large-capacity rubber wheel subway system and the strength problem of the vehicle body itself.

The present application relates to the technical field of subway station wind pavilion mouth water blocking, and particularly refers to a subway station wind pavilion mouth sealing water blocking equipment. A subway station wind pavilion mouth sealing water blocking device is arranged at the wind pavilion mouth, characterized in that one side of the wind pavilion mouth is provided with a sealing door plate stacking area for storing sealing door plates, and the subway station wind pavilion mouth sealing water blocking device comprises a guide rail system and a carrying system. The present application has the advantages of efficient and rapid response, high-strength waterproof performance, optimized structure for saving space, long-term stability and safety, easy operation and maintenance, and provides a new solution for flood control and waterlogging prevention of subway stations, effectively improves the safety and emergency response capability of the subway system, and has important practical value and social significance.

This invention provides a random key heuristic method for solving the vulnerability envelope problem of subway networks. The method includes: constructing a two-layer model of the subway network vulnerability envelope problem; calculating the fitness value of individuals using the two-layer model; assigning continuous real-valued keys ([0, 1]) to each line interval using random key encoding; generating initial key values ​​for each line interval using the betweenness centrality of the line intervals as weights; constructing an initialized population using the initial key values ​​of each line interval; performing neighborhood search optimization on the initialized population to obtain an elite population set; and performing biased crossover and mutation processing on the non-elite population from the previous generation of the elite population set to obtain an output result including the subway network vulnerability envelope curve and combinations of key vulnerable line intervals. This invention can improve the proactive prevention and control capabilities and overall resilience of subway systems, thereby providing direct and quantifiable decision-making basis for planning and construction, emergency response, and resource allocation.

The invention relates to the technical field of edge computing, and discloses a metro power distribution system fault pre-judgment and full-period operation and maintenance method, which effectively eliminates the physical system difference between an alternating current power grid and a direct current metro system by constructing a physical impedance feature alignment mechanism, solves the technical problem of cross-domain fault feature migration distortion, and improves the fault pre-judgment and full-period operation and maintenance efficiency. A physical perception type generative network with an embedded circuit constitutive equation and a thermodynamic cumulative effect is utilized, the defect that an artificial intelligence model is prone to generating physical common sense violation pseudo data under the small sample condition is overcome, the physical credibility of an expansion sample set is remarkably improved, and further, the physical reliability of the expansion sample set is improved. Based on an entropy increase self-acceleration stochastic dynamics model and a train kinematic energy theorem, accurate prediction of a fault nonlinear evolution trajectory and real-time calculation of a dynamic safety envelope are realized, and an active defense strategy can be accurately triggered before system failure. Therefore, the full-period operation and maintenance safety and the emergency response efficiency of the subway power distribution system are greatly improved.

The invention discloses a metro chassis inspection robot system based on a side-drive flat plate type base and a continuum mechanical arm, and provides the side-drive flat plate type base attached to a track, the side-drive flat plate type base is matched with the lightweight and miniaturized continuum mechanical arm suitable for a metro inspection scene, and the metro chassis inspection robot system is suitable for being used for metro inspection on the premise of ensuring functional integrity. The size and the occupied space of each module of the mechanical arm are reduced as much as possible, so that the mechanical arm can give full play to the advantages of flexibility and flexibility and go deep into a narrow space to complete inspection tasks, dependence of an inspection robot on inspection objective scenes is reduced, design and use of complex auxiliary operation mechanisms such as a lifting platform, a trench ramp and an inspection vehicle track are avoided, and the inspection robot is convenient to use. Under the condition of ensuring the inspection efficiency, the requirement of the system on the positioning precision is reduced, the inspection efficiency and accuracy are improved, and a solid support is provided for the safe operation of a subway system.

The utility model relates to the technical field of earthen archaeological site protection above subways, in particular to a vibration isolation layer structure of an earthen archaeological site. The utility model provides a vibration isolation layer structure of an earthen archaeological site, which is arranged between the earthen archaeological site and a structural middle plate of a subway system, and the structural middle plate is arranged above a tunnel of the subway system. The vibration isolation layer structure of the earthen archaeological site comprises a steel pipe curtain, a bearing structure and a plurality of vibration reduction supports. The vibration reduction support comprises a top plate, a bottom plate and an elastic assembly. Two ends of the elastic component are respectively connected with the top plate and the bottom plate; the upper end of the steel pipe curtain is connected with the earthen site, and the lower end of the steel pipe curtain is connected with the top plate through a bearing structure. The steel pipe curtain and the bearing structure are arranged to support the earthen ruins, the vibration energy generated when a train passes through is absorbed in cooperation with the vibration reduction supports, the earthen ruins located on the station hall layer can be protected and are not affected by the vibration energy generated when the train passes through, and important significance is achieved for earthen ruins protection.

The invention belongs to the technical field of rail traffic control, and provides a subway AI industrial control system in order to solve the technical problems of insufficient interfaces, high AI reasoning delay and multi-module stacking in the prior art, which comprises a main control module, an FPGA (Field Programmable Gate Array) component, a serial port and isolation protection module, a storage module, a display output module, a power management module and a network module, through system structure design and hardware interface optimization, multi-path display output, multi-channel data communication and abundant peripheral extension functions are realized, and the safety and operation and maintenance efficiency of a subway system are improved.

The application discloses a kind of subway network key site identification method and system considering bus substitution, based on subway and bus station and line data in research range, respectively construct subway weighted network and bus weighted network with travel time as weight, select the bus station in the walking range of subway station by space connection method, construct initial bus alternative network, combined with walking time, passenger walking perception coefficient and acceptable travel time threshold, finally weighted bus alternative network is obtained by optimization;Calculate the betweenness centrality, closeness centrality and weighted degree centrality of each subway station, establish a comprehensive importance calculation model, and identify the key stations in the subway network based on the comprehensive importance. The application is used for accurately capturing the importance of subway station in network structure and the trade-off relationship of bus alternative service availability, which can provide decision support for subway system emergency plan and connection bus line network planning.

This application relates to the field of battery management technology and discloses a method and system for intelligent management and temperature adaptive regulation of lithium batteries in harsh environments. The method includes: simultaneously collecting multi-dimensional environmental data to establish a monitoring database for the harsh environment of a subway UPS system; calculating an environmental adaptability threat index using a Kalman filter algorithm; generating differentiated charge and discharge management parameters by combining the threat index and UPS switching requirements; inverting the actual battery operating temperature through internal resistance changes; and activating a carbon fiber heating film self-heating system when temperature affects power supply capacity, using a PID algorithm to maintain the battery in its optimal operating state. This application establishes a threat assessment system based on the fusion of multiple environmental factors and a differentiated charge and discharge management strategy, and significantly improves the power supply reliability and battery life of the UPS system in harsh environments such as subway tunnels crossing rivers through internal resistance temperature detection and PID self-heating control.

The utility model provides a positioning early warning system of a metro vehicle, and belongs to the technical field of vehicle positioning. The positioning and early warning system for the metro vehicle comprises a first vehicle detection module, a first early warning module, a distance measurement module, a first switch module, a main control module and a communication module, the power supply end of the first vehicle detection module is connected with a power supply. The output end of the first vehicle detection module is connected with the master control module. A first end of the first switch module is connected with a power supply, a second end of the first switch module is connected with power supply ends of the first early warning module and the distance measuring module, a control end of the first switch module is connected with the master control module, and an output end of the distance measuring module is connected with the master control module; the output end of the distance measuring module is connected with the input end of the first early warning module, and the first early warning module is used for sending out a first positioning early warning signal; the master control module is in communication connection with a terminal through the communication module. According to the invention, high-standard requirements of a subway system on safety and efficiency can be met.