Multi-timing sequence inquiry method based on dominance of multi-timing sequence factor and sequence factor

Abstract

The invention relates to a multi-timing sequence inquiry method based on dominance of multi-timing sequence factors and sequence factors, which belongs to the technical field of computer data processing. The method comprises the following steps of: firstly, defining a dominance relationship of the sequence factors between two single timing sequences and a dominance relationship of the multi-timing sequence factors and the sequence factors between two multi-timing sequences; secondly, computing numerical values of the multi-timing sequences and a numerical value of each single timing sequence forming the multi-timing sequences; and finally, outputting a inquiry result according to the output value and the dominance relationship of each multi-timing sequence. According to the method provided by the invention, inquiry can be carried out on the multi-timing sequences without using characteristic values extracted through the multi-timing sequence, so that the effect of inquiring the multi-timing sequence directly is better than inquiring the characteristic values; raw data is directly used, so that the extra cost caused by extracting the characteristic values and other processes is avoided; and the inquiry efficiency is improved through limiting time windows and computing a maximum output value and a minimum output value of each multi-timing sequence, so that the inquiry speed is greatly accelerated.

Description

technical field [0001] The invention relates to a multi-time series query method based on multi-sequence factors and sequence factors, and belongs to the technical field of computer data processing. Background technique [0002] Time series is a type of data that is widely used in real life, and has a wide range of applications in both nature and human society, such as seismic wave sampling. Time series can be divided into multiple time series and single time series. A single time series only describes the object from one angle, while a multi-time series describes the object itself from multiple angles, and its data information will be much richer than that of a single time series. [0003] In some fields, although the multi-time series query method based on multi-time series factors and sequence factors is not used at present, they are also suitable for this method, and the effect will be better. Taking the most unfavorable seismic wave selection in the civil engineering ...

AI Technical Summary

Problems solved by technology

Manual observation of wave selection depends on human subjective knowledge and wave selection experience, and is only suitable for wave selection on a small number of seismic waves; Top-k query is performed on seismic wave eigenvalues, but eigenvalues ​​are limited by experience and models. Therefore, there will be many misunderstandings and omissions in the query results.

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