静态轨检历史数据匹配方法及其性能评价

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Abstract Research purposes: Historical data matching is the prerequisite and basis for data mining of orbital track geometric state. At present, matching based on external features is difficult to achieve sub-meter matching accuracy, and matching algorithms based on similarity are highly complex. To solve the above problems, this paper took static track inspection data as the research object, measured the similarity of data through dynamic time warping, and estimated the mileage deviation with the wrapped path, thus constructing an accurate matching method of static inspection historical data. On this basis, this paper discussed the matching performance evaluation, and introduced the synchronicity indicators on the basis of correlation and accuracy of the evaluation. Finally, the daily inspection data of a high-speed railway between January 15, 2021 and July 7, 2021 were used to verify the preceding matching method.
Research conclusions:(1) Compared with methods based on external features, the matching method described in this paper has better correlation, synchronization and accuracy. (2) Simulating maintenance operation by means of deforming the waveform, this method is robust to the maintenance operation and data loss. (3) This method is dispensed with external features, so it has the characteristics of low cost and good adaptability, and can be used for deep mining of track state information.

Key words： high speed railway data matching dynamic time warping static inspection matching performance

Received: 01 September 2021

PACS:	U216.3
	TP274.2

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	Articles by authors
	WEI Hui
	YANG Fei
	WU Shifeng
	ZHU Lei
	YAO Hanxing
	REN Xiaoyi

Cite this article:

WEI Hui,YANG Fei,WU Shifeng, et al. Historical Data Matching Method of Static Track Geometry Measurement andIts Performance Evaluation[J]. Journal of Railway Engineering Society, 2022, 39(9): 19-25.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2022/V39/I9/19

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