Research on Intelligent Health Management Technology of Opto-electronic Equipment

Abstract

With the development of China's weapon equipments and the continuous progress of information technology, the demand for the mobility, reliability, unmanned and flexible networking ability of opto-electronic measurement equipment is increasing. Breakthrough in the intelligent health management technology of opto-electronic equipment has become a major requirement for unmanned intelligent shooting range construction. Focusing on the opto-electronic measuring equipment in the shooting range, this paper detailed analyzes the development status of health management technology at home and abroad. Then it introduces the health diagnosis and decision-making strategy of opto-electronic equipment. According to a certain type of opto-electronic equipment, three health state early warning models are established and compared: health state early warning model based on statistical analysis, health state early warning model based on machine learning and health state early warning model based on neural network, subsystem simulation is given. Finally, the development direction of intelligent health management technology of opto-electronic equipment is predicted, the next work to be carried out is pointed out.