Multivariate time series similarity measuring method oriented to ocean field
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A multivariate time series, similarity measurement technology, applied in measurement devices, special data processing applications, instruments, etc., can solve the problems of slow processing speed and increased data processing volume, and achieve the effect of reducing economic losses and casualties
Active Publication Date: 2017-06-20
SHANGHAI OCEAN UNIV
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However, this method performs secondary screening, the amount of data processing increases, and the processing speed is slow
[0006] Therefore, there is an urgent need fo
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Embodiment 1
[0074] refer to figure 1 , the steps of a multivariate time series similarity measurement method oriented to the marine field of the present invention are as follows:
[0075] S1: Collect typhoon data;
[0076] S2: Preprocessing the typhoon data;
[0077] S3: describe the typhoon data;
[0078] S4: measure the similarity of typhoon data;
[0079] S5: Output similar to typhoon;
[0080] Wherein, said step S2 includes screening typhoon attributes and supplementary data, said step S3 includes moving direction representation, typhoon time series representation, and said step S4 includes typhoon attribute weight calculation, W-DTW distance calculation, W-DTW distance judgment.
Embodiment 2
[0082] The specific working steps of a multivariate time series similarity measurement method facing the ocean field of the present invention are as follows:
[0083] S1: Collect typhoon data
[0084] Collecting typhoon data includes collecting existing typhoon raw data and collecting typhoon data in the database.
[0085] S2: Preprocessing the typhoon raw data
[0086] S21: Screen typhoon attributes
[0087] Select the typhoon attributes that need to be considered. The typhoon attributes include intensity L, wind speed V, moving direction MD, moving speed MV, and pressure P;
[0088] S22: Supplementary data
[0089] The filtered typhoon attribute values are supplemented with null fields based on the before and after data.
[0090] S3: Describe typhoon data
[0091] S31: Indication of moving direction
[0092] Since the moving direction of the typhoon is represented by the sixteen-wind pattern, it is numericalized, referring to figure 2 , that is, there are 16 types ...
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Abstract
The invention relates to a multivariate time series similarity measuring method oriented to the ocean field. The similarity measuring method comprises the following steps that S1, typhoon data is collected; S2, the typhoon data is preprocessed, wherein typhoon attribute screening and data supplementing are included; S3, the typhoon data is described, wherein movement direction showing and typhoon time series showing are included; S4, the typhoon data is subjected to similarity measurement, wherein typhoon attribute weight calculation, W-DTW distance calculation and W-DTW distance judgment are included ; S5, similar typhoon is output. The method has the advantages that whether two ocean time series with dynamics, spatiality, predictability and multiple attributes are similar or not is judged; the development trend of a current ocean event is judged based on an occurring ocean event; for ocean disasters, a convenient auxiliary decision can be provided for relevant departments, protection measures are taken, and economic losses and casualties caused by the ocean disasters are reduced.
Description
technical field [0001] The invention relates to the technical field of similarity measurement, in particular to a multivariate time series similarity measurement method for the marine field. Background technique [0002] The 21st century is the century of the ocean. In the new era facing the big issue of sustainable development, the status and development value of the ocean are increasingly valued by people. As a developing coastal country in my country, there is no doubt that the ocean will play an increasingly important role in the development of our country. However, in recent decades, while promoting economic development, various marine disasters have followed. There are many types of marine disasters, and the factors that cause them are also different. There are mainly disastrous sea ice, red tides, storm surges and tsunamis, etc., and typhoons are also disasters related to the atmosphere. Among them, my country is one of the countries most seriously affected by typhoo...
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