A method and system for evaluating train stability based on recursive graph analysis
A stability and train technology, applied in the field of train stability evaluation based on recursive graph analysis, can solve problems such as difficulty in finding train lateral instability, limited application scenarios, and failure to consider acceleration changes, etc., to improve accuracy and safety , to reduce the effect of misjudgment
Active Publication Date: 2022-05-03
浙江中自庆安新能源技术有限公司
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The patent with the publication number CN112722003A discloses a train derailment risk monitoring system based on wheel lift. This invention can only detect the lift of the train wheels in the vertical direction, and it is difficult to find the lateral instability of the train. Its application scenarios are limited.
The patent with the publication number CN113343811A discloses a method for discriminating train derailment. The method uses the vibration acceleration signal of the train axle box to analyze the instability. Changes in acceleration can easily lead to misjudgment, and the application scenarios are limited
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[0047] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings, but these embodiments do not limit the present invention, those of ordinary skill in the art make structural, method, or functional changes based on these embodiments All are included in the scope of protection of the present invention.
[0048] Such as figure 1 One embodiment of the present invention shown, the present invention provides a kind of train stability evaluation method based on recursive graph analysis, described method comprises steps:
[0049] S1. Install vibration sensors on the left front wheel, right front wheel, left rear wheel, and right rear wheel of a wheel set of the train bogie respectively, and collect the left front side in each axial direction under the satellite Cartesian coordinate system. The vibration acceleration signal sequence of M sampling periods of the wheel, the vibration acceleration signal seque...
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The invention discloses a train stability evaluation method based on recursive graph analysis, which collects vibration acceleration signal sequences of M sampling periods of the left front wheel, the right front wheel, the left rear wheel, and the right rear wheel of the train bogie respectively. , regard the vibration acceleration signal sequence of the left front wheel as the state trajectory of the vibration acceleration in the three-dimensional phase space, according to any two sampling times t i , t j Comparing the distance of the corresponding vibration acceleration vector in the phase space with the critical distance, construct M recursive graphs corresponding to the M sampling periods of the left front wheel, according to the changes of the recursive graphs of any adjacent two sampling periods The eigenvalue is used to judge the running state of the left front wheel, and the running state of the other wheels of the bogie can be obtained by analogy, and then the running state of the train can be judged. The invention judges the stability of the train by constructing a recursive graph, and realizes a more comprehensive and precise control of the train running condition.
Description
technical field [0001] The invention relates to the technical field of train safety, in particular to a train stability evaluation method and system based on recursive graph analysis. Background technique [0002] At present, railway trains are still the main means of transportation for many people when they travel, and their basic task is to transport passengers safely, punctually and efficiently. During operation, once a train derails, the derailed train may rush into the opposite track, or even overturn, causing immeasurable losses. In order to judge the safety of train derailment more accurately, it is urgent to improve or re-establish the safety evaluation index and method of train dynamic derailment according to the mechanism of train derailment, so as to ensure the safe operation of trains. [0003] With the development and application of fully automatic driving subway technology in China, the derailment detection system has become an important part of the safe opera...
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IPC IPC(8): G01M17/10B61L23/00
CPCB61L23/00
Inventor 尹旭晔水沛
Owner 浙江中自庆安新能源技术有限公司