An active de-duplication backup algorithm for storage data in ultra-high-voltage power network based on improved swarm algorithm

The source network load and storage data of Ultra High Voltage (UHV) power grid is very large, including massive real-time monitoring data and equipment status data. The backup of these data needs to occupy a lot of storage space, and the transmission and backup process may put forward high requirements on the network bandwidth and transmission speed. Therefore, an active de-duplication backup algorithm based on improved swarm algorithm is proposed for UHV power grid source data storage. The bee colony algorithm is improved and optimized as artificial bee colony algorithm. Simhash algorithm is introduced to remove load and storage data of UHV power grid. Based on this, the balanced binary tree is used to realize its backup. The experimental results show that: Compared with the traditional method, when using the research method to backup data, the storage space is minimum, the data deduplication rate is higher than 95%, and the time is always less than 100ms.