多传感器信息融合技术在智能空气净化装置中的应用

【作者】 吴静；

【导师】 杨路明；

【作者基本信息】 中南大学 ， 软件工程， 2007， 硕士

【摘要】 随着传感器、计算机和通信技术的发展，各种面向复杂应用背景的多传感器系统的研究越来越受人们的关注；多传感器系统中，信息表现形式的多样性、信息数量的巨大性、信息关系的复杂性以及要求信息处理的及时性，都大大超出人脑的信息综合处理能力，多传感器信息融合理论应运而生。本文主要对单片机和多传感器信息融合技术在智能空气净化装置的应用进行了研究。文章首先介绍了多传感器信息融合算法的思想，证明了将多传感器信息融合技术应用于智能空气净化装置的可行性。其次，结合智能空气净化装置的特殊要求，提出了一种将模糊理论和改进型D-S证据理论算法相结合的改进型模糊证据理论方法，并应用于智能空气净化装置。最后，针对复杂的和具有时变特性的室内空气状况，设计了一个集智能化、信息融合和预测控制理论于一体的智能空气净化装置。更多还原

【Abstract】 As the technologies of sensor, computer and telecommunication have developed, studies on applications of complex sensor systems are being carrying out by more and more researchers. In sensor systems, the variety of information forms, the great number of information, the complex of information relations, the time limits of information process are much more difficult than human being’s brain can deal with; therefore, multi-sensor information fusion theories are brought up.The paper studies the application of single chip computer and multi-sensor information fusion technology for design of an intelligent air fresher device. At first, the paper states the multi-sensor information fusion algorithm, and proves that the algorithm has good feasibility. After that, according to the specifications of the air fresher, an improved fuzzy evidence theory, which combined fuzzy theory and D-S evidence theory, are used for design of the air fresher. At last, an intelligent air fresher with the function of information fusion and air varying forecast control is designed.更多还原