Design for Indoor Environment Monitoring System based on Embedded System and Multi sensor Data Fusion Algorithm
This paper aims to construct an environmental monitoring system for newly decorated room. Digital temperature humidity sensors, formaldehyde sensors, benzene sensors, ARM11 and Linux embedded system were selected. According to the application characteristics of the sensors, hardware device drivers were designed, generated kernel module files were loaded into the Linux kernel, and the user application programs operating the sensors' devices were written. To get accurate measurement and reliable evaluation for environmental condition, a two level fusion algorithm was designed, which was composed of data level fusion based on adaptive weighted fusion algorithm and decision level fusion based on fuzzy set theory and judging principle of composite index. The system was capable of realizing the real time acquisition and transmission for environmental data. Thus, the indoor environment quality could be accessed conveniently by users via PC terminal on the Internet.