Data query method and device, medium and data processing system

Abstract

The invention relates to the technical field of data processing, particularly provides a data query method and device, a medium and a data processing system, and aims to solve the technical problem ofquickly and accurately searching data from mass data. For the purpose, according to the method provided by the embodiment of the invention, the object data is stored in a key value pair database, andthe key value pair stored in the key value pair database takes object identifiers, attribute types and integral times as keywords, and takes attribute values including the integral times in the acquisition time and the non-integral times in the acquisition time corresponding to attribute values as key values. After a data query request is received, key value pair query is carried out on the key value pair database according to the object identifiers, the attribute types and time information in the data query request, no matter whether the time information is a time period contains a certain duration or an instantaneous time, corresponding data can be quickly searched according to integral times and non-integral times in the key value pair, and the data query efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data query method, device, medium and data processing system. Background technique [0002] Electric vehicles and other new energy vehicles that use electric energy as the driving energy are usually equipped with a battery management system (Battery Management System, BMS) for monitoring the battery status. The operating data can determine the current operating state of the battery, and then determine whether the battery is abnormal or faulty. However, the data collection period of the battery management system is usually at the level of seconds, milliseconds or even microseconds. The current conventional data query method is mainly to store data one by one according to the data collection time of the battery management system. If you want to query the operating data within a certain period of time It can only be queried one by one according to the data collection time...

AI Technical Summary

Problems solved by technology

However, the data collection cycle of the battery management system is usually at the level of seconds, milliseconds or even microseconds. The current conventional data query method is mainly to store data one by one according to the data collection time of the battery management system. If you want to query the operating data within a certain period of time Can only be queried one by one according to the data collection time

When it is necessary to analyze the operating data of the battery for a long period of time, such as within 12 hours, if the corresponding operating data is still queried according to the above data query method, it will take a long time and the query efficiency is low, which is not conducive to the rapid analysis of the battery operating status

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