6 results about "Metro system" patented technology

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 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 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.