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A frequent sequence-based method for early warning of strong winds on high-speed rail

A technology of frequent sequence and sequence, which is applied in the field of high-speed rail gale warning based on frequent sequence to achieve the effect of reducing false alarm rate and time.

Active Publication Date: 2022-03-08
SOUTHWEST JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, a high-speed rail gale warning method based on frequent sequences provided by the present invention solves the problems existing in the traditional high-speed rail gale warning

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  • A frequent sequence-based method for early warning of strong winds on high-speed rail

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Embodiment Construction

[0036] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0037] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0038] Such as figure 1 As shown, a high-speed rail gale warning method based on frequent sequences includes the following steps:

[0039] S1. Collect the real-time wind speed time series along the high-speed railway, and obtain the historical wind speed time series along the high-speed railway;

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Abstract

The invention discloses a high-speed rail high wind early warning method based on frequent sequences. By obtaining the early warning sequence set and the non-warning sequence set, and then using the sequence pattern mining algorithm to mine the symbolized early warning sequence set and the non-warning sequence set, the frequent warning sequence is obtained. Sequence set and non-warning frequent sequence set; remove the prefixes of warning frequent sequence set and non-warning frequent sequence set to form the same non-longest frequent sequence pattern, and eliminate subsequences in early warning frequent sequence that contain non-warning sequence characteristics, and get early warning pattern Library; match the real-time wind speed time series with the sequence of the early warning pattern library, and issue an early warning command if the match is successful. The invention is more in line with high-speed rail high wind alarm rules, and improves the precision and execution efficiency of high-speed rail high wind early warning.

Description

technical field [0001] The invention belongs to the field of high-speed rail early warning, and in particular relates to a high-speed rail high-wind early warning method based on frequent sequences. Background technique [0002] With the vigorous advancement of high-speed and safety-oriented railways, the research on gale warning along railways has attracted more and more attention. The wind speed value along the railway is an important index to ensure the safety of trains. Data mining and reasonable prediction of wind speed sequence information are of great significance to ensure the safety of trains. As one of the core tasks of the high-speed rail high-wind early-warning model, the construction of the frequent-sequence-based high-speed-rail high-wind early-warning pattern library is essentially a process of mining rule information from given high-wind detection data and finding frequent subsequences as patterns. At present, my country's high-speed rail traffic command ado...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 滕飞刘鉴竹勾红叶祝锦烨
Owner SOUTHWEST JIAOTONG UNIV