Attitude detection system and method, computer equipment and storage medium

Abstract

The invention discloses a maglev train levitation electromagnet attitude detection system and method, computer equipment and a storage medium. Vertical displacement, vertical acceleration, transversedisplacement, transverse acceleration, line movement speed and line real-time position are all acquired from a mounting position of a shell, so that detection data comes from the same position; detection data of different positions do not need to be approximately converted to the same position, errors generated by approximate conversion are avoided, and the detection precision is high; all parts in a signal acquisition assembly are started at the same time and transmitted through the same channel, it is guaranteed that all detection data are located on the same time axis, the problem that large phase errors occur during dynamic analysis due to the fact that different channels are adopted for obtaining data and time axes are not unified is solved, and the accuracy during dynamic analysis isimproved; and a signal conditioning and transmission module is adopted for data transmission, and a vehicle-mounted CAN network is not adopted, so that the sampling frequency and the sampling precision are improved.

Description

technical field [0001] The invention belongs to the technical field of medium and low-speed maglev trains, and in particular relates to a system, method, computer equipment and storage medium for attitude detection of a suspension electromagnet of a maglev train. Background technique [0002] The maglev train adopts electromagnetic force to realize support and guidance, and is equipped with linear motor for driving. There is no mechanical contact between the vehicle and the track, so it has the advantages of high running speed, low noise, low vibration, fast starting and braking speed, small turning radius, and climbing. The remarkable advantages of strong capability, safety and comfort, and less maintenance are one of the development directions of high-speed and green transportation in the future. [0003] In order to simplify the system structure and reduce the cost of the whole vehicle, the suspension system of the existing medium and low speed maglev train only applies a...

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Problems solved by technology

[0006] The shortcomings of the traditional method are: (1) Due to the large number of connected devices on the vehicle CAN network, the large amount of data, and the low sampling frequency (currently only 10Hz), it cannot meet the analysis requirements; (2) Due to structural limitations, the lateral displacement detection It is not at the same position as the vertical displacement detection. During comprehensive analysis, the data needs to be approximately converted to the same position on the suspension electromagnet, so the error is relatively large; (3) Due to different channels for obtaining data, they are not on the same time axis. When there is a large error in each data phase

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