Power outage data management platform based on big data analysis technology

In the context of surging power supply demand and frequent power outages, traditional data management platforms are faced with problems such as inefficiency and data island. This study proposes an intelligent power outage data management platform based on MySQL and Lambda architecture, which can realize dynamic monitoring and closed-loop management of power outage events by constructing multi-source heterogeneous data fusion mechanism and hierarchical governance system. The experiment conducts 10 rounds of comparative verification based on PERFSDY dataset, and the results show that the single field management time of the platform is stable at about 5.0 seconds, which is more than 50% higher than the efficiency of the traditional system. The practical application also shows that the data management platform constructed in this paper is capable of panoramic monitoring, cross-domain association analysis and root cause diagnosis of outage events, which provides a scalable technical framework for the reliability improvement of distribution network.