A Multilevel Fire Detection Platform Based on Multi-Source Heterogeneous Information Fusion

Abstract

Photovoltaic power generation is an important part of the current new energy sources. With the development of photovoltaic power generation technology, the corresponding security operation technology has become a new research topic. In this paper, a multi-level fire detection platform based on multi-source heterogeneous information fusion is proposed. The platform includes two levels of detection, level 1 is smoke detection through video monitoring data. Level 2 is the fire detection of data collected by meteorological monitoring. Through the two-level detection, the fire hazard situation and fire hazard location can be accurately located.