Intelligent Fresh Air Control Software Algorithm

With the promotion of social development and living level, the higher indoor air quality is required, especially in hospitals, modern buildings, labs etc.This paper is about the multi-sensor information fusion algorithm, forecast control algorithm and program control algorithm of an intelligent air fresher. The idea of multi-sensor information fusion algorithm and its application in intelligent air fresher is figured out, analysis and comparison of other multi-sensor information fusion algorithms is made, an improved D-S evidence theory algorithm is proposed in the paper. A problem of evidence-collision which can not be processed in former combination-rules is solved, the tests point out that the probability distributed values in combination process is considered sufficiently in the new rule, the conclusion is more reasonable.The paper designs a forecast control algorithm according to the actual needs of the air fresher; according to the variety and complicacy of indoor air, a forecast controller with the functions of mold identify, configuration simulation, control algorithm is designed. The paper sets up an fresh air control system based on the technology of multi-sensor information fusion; and an intelligent air fresher with the function of information fusion and forecast control is designed in the lab, with the idea of software engineering, the control algorithm is tested and indicates that indoor air fresh and cleaning effect is achieved prospectively.