Feature sequence alignment method
A feature sequence and sequence technology, applied in the field of feature sequence alignment, can solve the problem of inability to accurately judge the running state of objects.
Active Publication Date: 2021-07-06
东莞先知大数据有限公司
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Problems solved by technology
[0004] Based on this, it is necessary to provide a feature sequence alignment method for the problem that the existing technology cannot accurately judge the running state of the object based on the actual moving distance.
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[0043] In order to make the above-mentioned purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.
[0044]It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" ano...
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The invention relates to a feature sequence alignment method, which comprises the following steps of acquiring a feature sequence and a standard sequence which are arranged according to a sequence of position coordinates from small to large, and calculating a sequence similarity score and a sequence distance difference between the feature sequence and the standard sequence according to the position coordinates and feature values of the feature sequence and the standard sequence; and classifying the feature sequence and the standard sequence by adopting a clustering algorithm to obtain a feature sub-sequence and a standard sub-sequence which are sequenced according to the sequence of the position coordinate centers from small to large. For each feature sub-sequence, a standard sub-sequence meeting a preset screening condition is screened from the standard sub-sequences, and a sub-sequence similarity score and a sub-sequence distance difference between the feature sub-sequence and the screened standard sub-sequence are calculated according to position coordinates of the feature sub-sequence and the screened standard sub-sequence; a subsequence distance difference corresponding to the maximum subsequence similarity score of each feature subsequence is obtained as a correction distance of the feature subsequence, and each feature subsequence is corrected according to the correction distance, so an alignment relationship between the feature sequence and the standard sequence is established.
Description
technical field [0001] The present application relates to the technical field of data processing, in particular to a feature sequence alignment method. Background technique [0002] In application scenarios such as traffic mileage alignment and elevator fault detection, it is usually necessary to obtain the actual moving distance of an object, and compare the actual moving distance with the standard moving distance, so as to realize the judgment of the running state of the object. [0003] However, in practical applications, due to errors caused by various external or human factors in the actual moving distance of the object, it is quite different from the standard moving distance, and it is impossible to accurately judge the running state of the object. Contents of the invention [0004] Based on this, it is necessary to provide a feature sequence alignment method to solve the problem that the running state of the object cannot be accurately judged according to the actual...
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Login to View More IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/23G06F18/2113
Inventor 梁帆
Owner 东莞先知大数据有限公司