Time series data processing method and device

Abstract

The invention provides a time series data processing method and apparatus. The method comprises the steps of obtaining time series data in an original format; according to a preset mapping rule and astandard data format, performing format conversion processing on the time series data in the original format to obtain time series data in a standard format; and outputting the time series data in thestandard format. According to the scheme, the standard data format is used for processing the data, and the workload of a data administrator for processing frequently-changed time series data can begreatly reduced.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a method and device for processing time series data. Background technique [0002] The equipment timing data collected from various stations often have different formats, that is, the data of different equipment or different time, the number and names of fields (also called measuring points, variables, columns) may show a large difference. [0003] There are many reasons for this phenomenon, such as: different equipment models; different manufacturers of equipment components; different batches of equipment components; technical upgrading of equipment. [0004] In the prior art, data processing software generally has the following problems: [0005] First of all, the processing of data format requires algorithm developers to have a good understanding of the original data format, which leads to the algorithm developers needing to spend a lot of time on it; [000...

AI Technical Summary

Problems solved by technology

[0005] First of all, the processing of data format requires algorithm developers to have a good understanding of the original data format, which leads to the algorithm developers needing to spend a lot of time on it;

[0006] Secondly, since time series data spans time and devices, data field changes may occur many times. If the traditional method supports only one change, the granularity is too coarse. If it supports conditional modification of field names, the workload will be too large for the algorithm. developer unable to complete

[0007] At present, there is no data system on the market that is based on the characteristics of time-series data of equipment, and performs unified data mapping according to the two dimensions of equipment and time, which makes it very difficult to analyze such time-series data on a large scale

Images