Power failure data sharing method based on cloud platform computing and message bus technology

Abstract

The invention discloses a power failure data sharing method based on cloud platform computing and a message bus technology, and relates to a power failure data sharing method. At present, a big data real-time processing platform goes deep into various fields, but research, judgment and calculation of power failure data need deep analysis and high-frequency calculation of multi-dimensional data such as power failure events, historical data, station-household relations and real-time loads, and accuracy and timeliness of the power failure data of the intelligent electric energy meter are affected. The method is based on the cloud platform technology of distributed big data real-time processing, confirms the power failure information and accurately positions the power failure information in combination with the topological relation between the power failure event and the user, and provides reliable and accurate power failure data for a low-voltage distribution network power failure fault rapid repair service platform.

Description

technical field [0001] The invention relates to a power outage data sharing method, in particular to a power outage data sharing method based on cloud platform computing and message bus technology. Background technique [0002] With the rapid development of power technology and the acceleration of informatization, smart grid has become an important trend in power development. In order to give full play to the supporting role of smart meters in the rapid repair of distribution network faults, reduce power grid operating costs, improve power supply reliability and user satisfaction, it is necessary to accelerate the promotion of power outage data analysis and power outage information interaction in the power consumption information collection system based on big data. Research on key technologies such as sharing can effectively improve distribution network operation and maintenance management and high-quality service levels. [0003] Based on the above background, the power c...

AI Technical Summary

Problems solved by technology

Some provincial companies integrate relevant functions into the marketing business application system (SG186), and the business application system calls the interface of the electricity consumption information collection system to obtain data through the WebService interface, or directly opens the relevant account to the business department. Security cannot be guaranteed; there are also a small number of provincial companies that use Message Service technology to push the power outage alarm information reported by the smart energy meter directly to the business application system without analysis and judgment. This solution guarantees efficiency, but does not The validity of the power outage information is judged, and the scope of the power outage is not accurately located, so that the accuracy of the power outage information is insufficient, and it cannot better meet the business needs of rapid repair of low-voltage distribution network outage faults

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