Cloud computing method and system for multi-task concurrent processing of acquisition system

Abstract

The invention relates to a cloud computing method for multi-task concurrent processing of an acquisition system. The method comprises the following steps: deploying each service component in a cloud computing communication module, and performing multi-task concurrent data processing; carrying out multi-task concurrent calculation scene reconstruction by utilizing the processed data; and performingstreaming computing and offline computing based on a cloud big data computing component. The invention further relates to a cloud computing system for multi-task concurrent processing of the acquisition system, a multi-task concurrent data processing module, a multi-task concurrent computing scene reconstruction module and a computing module. According to the invention, hundreds of millions of real-time uploading records every day are analyzed in real time, load data and electric energy indication values are verified, analyzed and repaired, abnormal data such as backward walking and excessivedata are marked and re-collected, and the data collection quality is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of electricity consumption data acquisition, and relates to a cloud computing method and system for multi-task concurrent processing of an acquisition system. Background technique [0002] Because the current electricity collection information system adopts the traditional monolithic architecture system, it has poor experience in operation convenience, insufficient computing power, poor response to business needs, cannot support the real-time computing requirements of high-speed growth massive data, and cannot meet business departments. For issues such as the requirements for real-time data collection, it is urgent to upgrade the existing power consumption information collection system to improve the overall structure, application performance, and data processing efficiency of the power consumption information collection system. [0003] With the increase of power system collection data and the continuous im...

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Problems solved by technology

[0002] Because the current electricity collection information system adopts the traditional monolithic architecture system, it has poor experience in operation convenience, insufficient computing power, poor response to business needs, cannot support the real-time computing requirements of high-speed growth massive data, and cannot meet business departments. The requirements for real-time data collection and other issues require an urgent upgrade of the existing power consumption information collection system to improve the overall architecture, application performance, and data processing efficiency of the power consumption information collection system

[0003] With the increase of power system collection data and the continuous improvement of real-time data, the power consumption information collection system also needs to carry out power statistics, load statistics, line loss calculation, collection success rate, three-phase unbalance, terminal online rate, terminal communication traffic, etc. Analytical applications, resulting in high computational pressure and low analysis efficiency of the system

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