16 results about "Metro system" patented technology

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 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.

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.

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.

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 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.

The invention relates to the technical field of rail transit, and provides a resource scheduling method and device for a subway system, equipment and a medium. The method comprises the steps of obtaining first multi-modal data corresponding to a subway system, and performing data fusion based on the first multi-modal data to generate an associated database; determining the device priority of each device in the subway system according to the association database; constructing a three-dimensional resource scheduling model corresponding to the subway system based on the space dimension, the time dimension and the cost dimension; performing collaborative optimization on the three-dimensional resource scheduling model based on the device priority of each device to obtain an optimized three-dimensional resource scheduling model; and generating a resource scheduling scheme according to the optimized three-dimensional resource scheduling model, and performing resource scheduling on the subway system according to the resource scheduling scheme. Based on the scheme of the invention, the resource scheduling accuracy of the subway system can be improved.

1.The name of the design product: smart customer service center (Hui character type). 2.The use of the design product: the product is a new type of smart center (device) of the subway AFC system, which is placed in the station hall. Passengers can operate through a large touch screen in Chinese and English, and can pay for tickets by cash or scanning codes. They can also query related information, including line stations, surrounding businesses of stations, fare tables, operating hours, etc. They can also perform voice-related operations and interact with station staff through voice remote communication. 3.The design points of the design product: the combination of shape and pattern. 4.The picture or photo that best indicates the design points: perspective view.

The present application belongs to the technical field of complex network propagation control, and specifically relates to a metro train popular disease propagation control optimization method based on an agent model and probability search. The present application comprises the following steps: identifying trains and reconstructing a continuous-time car co-contact network based on smart card data and operation timetables, establishing an event-driven SEIR propagation simulation model and taking early system infection load SIL as a propagation control effect evaluation index; generating a candidate train control set and corresponding effect label data under the constraint of train control quantity k, and constructing an agent prediction model which is insensitive to train set sequence; initializing a train selection probability distribution, and performing sampling, screening and probability updating in an iterative search mode to generate a propagation control optimization scheme. The present application can obtain a better train propagation control scheme with a limited simulation budget under the condition of high propagation simulation cost and a large number of candidate combinations, thereby improving the popular disease propagation control efficiency of the metro system under the budget constraint.

The invention discloses a real-time communication and arrival information pushing device for mobile equipment in a subway carriage, and relates to the technical field of rail transit communication and information pushing. The device comprises a core control unit, a multi-mode communication module group, a vehicle-mounted data interaction module, a power supply management module, a fault diagnosis module and a shell structure, wherein the core control unit is used as a center for coordinating all the modules to work. The vehicle-mounted data interaction module adopts the design of main and standby double interfaces and underground section strengthened calibration, takes subway TCMS system data as the main part and takes GPS / Beidou positioning and RFID calibration as the auxiliary part, and obtains train real-time position data with the precision smaller than or equal to 3 meters; the multi-mode communication module group adopts a dual-mode architecture with Bluetooth BLE 5.3 as a main part and Wi-Fi 6 as an auxiliary part, three communication sub-modules are uniformly deployed to realize dead-corner-free coverage of a whole compartment, and a standardized information packet is pushed to passenger mobile equipment in a broadcast or connection mode. The device can replace invalid mobile phone satellite positioning data of a subway underground section, correct navigation software positioning deviation, realize accurate arrival reminding, transfer guidance and emergency information pushing, has the characteristics of low delay, high compatibility, interference resistance, low power consumption and easiness in maintenance, and is adaptive to a complex subway operation environment.

The invention discloses a subway transport capacity resource collaborative optimization configuration method for luggage preposed consignment, and belongs to the technical field of luggage consignment optimization, and the method comprises the following steps: S1, obtaining a complete consignment demand and train transport capacity basic parameter set through a network platform; s2, a station set and a train set used for executing a user luggage consignment task are screened out with the running time of the subway train and the luggage storage facility allocation condition as screening conditions; s3, establishing an integer linear programming model with the goal of minimizing the comprehensive cost of integrating the compartment configuration cost, the residence time cost and the peak penalty cost; and S4, a branch pricing algorithm is adopted, and a luggage consignment scheme with the optimal comprehensive cost is output based on operation constraint conditions related to subway trains and user demands. By the adoption of the method, the contradiction between the requirement for light travel and the requirement for carrying large luggage to go back and forth in a transportation hub is solved, and the resource utilization rate of an existing subway system is increased.

The invention discloses a subway network key station identification method and system considering bus substitution, and the method comprises the steps: respectively constructing a subway weighted network and a bus weighted network with the travel time as the weight based on subway and bus station and line data in a research range; the method comprises the following steps of: screening bus stations in a walking range of a subway station through a spatial connection method, constructing an initial bus alternative network, and optimizing to obtain a final weighted bus alternative network by combining walking time, a passenger walking perception coefficient and an acceptable travel time threshold value; and calculating the betweenness centrality, the proximity centrality and the weighting centrality of each subway station, establishing a comprehensive importance calculation model, and identifying the key stations in the subway network based on the comprehensive importance. The method is used for accurately capturing the trade-off relationship between the importance of the subway station in the network structure and the availability of the bus replacement service, and can provide decision support for emergency plan making of a subway system and connection bus network planning.

1. Name of the product in this design: Folding Floodproof Door. 2. Purpose of this design: Disaster prevention equipment for subway systems used for emergency isolation during flooding. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.