Data collecting and storing method

Abstract

The invention is a data gathering and storing method applied to power environment bottom storage, it includes following judging processes: when the difference between the gathered value and the former historical data is more than the storing threshold, then the gathering value and the time in this time and the former values and time are used as the historical data to be stored; when the gathered value enters or leaves warning area for the first time, then the gathered value and time is used as the historical data to be stored. The storing threshold is a set constant. The upper and the lower limits of the warning area have single-side return difference function. Through the settings of the storing threshold and the judging condition of the data gathering and storing method, it can realize the effective balance of effective data and data reducibility in power environment data storing.

Description

【Technical field】 [0001] The invention is applicable to the field of data collection, in particular to a data collection and storage method used in a dynamic environment. 【Background technique】 [0002] The bottom storage algorithm of the existing power environment database is generally stored at equal time intervals or equal change intervals. However, from the perspective of the characteristics of the power environment data, there will be sudden changes in the data, such as the battery curve changes slowly, but sometimes there will be sudden changes , these algorithms are flawed: the equal time interval algorithm is easy to control, but may lose valid data in the time interval, if the storage density is large, the data restoration is good but the effective data is less, if the storage density is small, the data may be distorted; etc. Although the variable interval algorithm solves the contradiction between effective data volume and data reduction, it will be distorted when ...

AI Technical Summary

Problems solved by technology

[0002] The bottom storage algorithm of the existing power environment database is generally stored at equal time intervals or equal change intervals. However, from the perspective of the characteristics of the power environment data, there will be sudden changes in the data, such as the battery curve changes slowly, but sometimes there will be sudden changes , these algorithms are flawed: the equal time interval algorithm is easy to control, but may lose valid data in the time interval, if the storage density is large, the data restoration is good but the effective data is less, if the storage density is small, the data may be distorted; etc. Although the variable interval algorithm solves the contradiction between effective data volume and data reduction, it will be distorted when the data changes suddenly.

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