Reservoir area water bloom rapid monitoring method and device based on unmanned aerial vehicle swarm coordination

Abstract

A reservoir area water bloom rapid monitoring method and a device based on unmanned aerial vehicle swarm coordination are provided. Through the local updating quantification technology, the communication volume between UAV and central server is compressed and the communication efficiency of federated learning is optimized on the premise of ensuring the accuracy of the reservoir area water bloom monitoring model. The local update quantification defines the loss function queue for UAV, and uses the ratio of historical and current loss functions to reasonably quantify the upstream model update. According to the disclosure, the problems that pictures collected by unmanned aerial vehicle swarm are difficult to upload in large quantities, the communication volume required for reservoir area water bloom monitoring is too large, and the reservoir area water bloom monitoring model converges slowly due to frequent communication are solved.