Power grid meter reading data storage method, power grid meter reading data uploading method, power grid meter reading data storage device and power grid meter reading data uploading device

Abstract

The invention provides a power grid meter reading data storage method and device, a power grid meter reading data uploading method and device and a power grid meter reading data storage device. The storage method comprises the steps of obtaining the type of meter reading data, determining a corresponding data set according to the type of the meter reading data, wherein the data set comprises a plurality of data block sets; obtaining the meter reading data, the meter reading data comprising at least one data item, the format of the data item comprising sub-data and block data; acquiring a dataitem of which the format is sub-data, and converting the format of the data item into corresponding block data; determining a data block set of data items in a format of block data based on the commonfield; and storing the data items of which the formats are the block data into the corresponding data block sets according to the meter reading sequence so as to update the data sets. By means of themode, formatting processing can be conducted on the data item fields of the data items during table building of the database, and the real-time performance, accuracy and uniqueness of database recording are met.

Description

Technical field [0001] The invention relates to the field of power grid data processing, in particular to a storage method, upload method, device and storage device for power grid meter reading data. Background technique [0002] Since the current State Grid object-oriented protocol DL / T698.45 is based on the "task + plan" method to perform data item reading and data item reporting, the "task" determines the business start, end time, and periodic execution interval. The plan determines the data items read by the business and the data that is actively reported, and the data collection, scheduling, and reporting are realized through the combination of “task + plan”. If the tasks are different and the plans are the same, there will be data redundancy; if the tasks are different and the plans are different, the difference in the collected data in the plan is only the difference between the block ID and the sub ID, which will lead to the ambiguity of data extraction. ID data cannot b...

AI Technical Summary

Problems solved by technology

Different tasks and the same scheme will lead to data redundancy; different tasks and different schemes, the difference in collected data in the scheme is only the difference between the block ID and sub-ID, which will lead to ambiguity in data extraction. It is impossible to determine which plan to extract the ID data from (the block ID includes sub-IDs); the master station recruits and reads data of different plans at the same time, there will be merging of data records, and the merging will involve repeated real-time data IDs

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