Abstract
As the speed of high-speed trains continues to increase, the intelligent monitoring of high-speed trains has become a concern of people. This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control. In multimodal intelligent control, BangBang, PI control, adaptive fuzzy PID control, and expert monitoring control under special circumstances can be used, respectively, according to the error and the rate of change of the error, which can achieve the best control effect under safe conditions. Take the allowable speed of ATP as the target speed of the control system, and combine the operation process, operation requirements, traction characteristics, braking characteristics of high-speed trains, and meet the two conditions for improving the operating efficiency of high-speed trains. According to the dynamic expected speed value of high-speed trains, dynamically adjust the switching threshold. This study uses a pulse signal generator to simulate the speed data of the vehicle speed sensor (all pulse data), and then read the speed (pulse) signal data through the pulse signal acquisition card, and display the simulated speed data under the Kingview software. The monitoring computer is used to collect train speed information, display speed information, manage speed information, and output speed information. Then, through OPC technology, the simulation speed data is transmitted to MATLAB software for multidata fusion filtering processing and multimodal control simulation. In the simulation process, the train adopts a multimodal intelligent control response scheme, with a total time of 2183.7 s, which is shortened by 214.5 s and improved by nearly 10%. The multimode intelligent control scheme of multidata fusion filtering proposed in this study can better meet the control of high-speed train traffic signals.
Highlights
The twenty-first century is an excellent period for the development of high-speed railways in the world
It is ensured that the fusion information can contain important expressions hidden in the original multimodal data, so that even if the amount of transmitted data is reduced, the key information contained in the original multimodal data will not be lost
This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control
Summary
The twenty-first century is an excellent period for the development of high-speed railways in the world. Zhu H believes that accurate measurement of dynamic displacement is very important for structural health monitoring and safety assessment of super high-rise structures. His research provides an accurate and economical method to accurately measure the dynamic displacement of super high-rise structures by fusing acceleration and strain data, which are usually available in structural health monitoring systems. Balakrishnan S N proposed a modular method to solve the multisensor multitarget problem in space His method combines clustering techniques developed in the field of pattern recognition with filtering techniques developed to estimate multiple target states in space. This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control. Through OPC technology, the simulation speed data is transmitted to MATLAB software for multidata fusion filtering processing and multimodal control simulation
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