Data fusion algorithm for rapid multi-mode dust concentration measurement system based on MEMS

Maohao Liao*, Wenzhong Lou, Jinkui Wang, Yan Zhang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

As single measurement method cannot fully meet the technical requirements of dust concentration measurement, the multi-mode detection method is put forward, as well as the new requirements for data processing. This paper presents a new dust concentration measurement system which contains MEMS ultrasonic sensor and MEMS capacitance sensor, and presents a new data fusion algorithm for this multi-mode dust concentration measurement system. After analyzing the relation between the data of the composite measurement method, the data fusion algorithm based on Kalman filtering is established, which effectively improve the measurement accuracy, and ultimately forms a rapid data fusion model of dust concentration measurement. Test results show that the data fusion algorithm is able to realize the rapid and exact concentration detection.

Original languageEnglish
Article number012030
JournalJournal of Physics: Conference Series
Volume986
Issue number1
DOIs
Publication statusPublished - 29 Mar 2018
Event19th Annual Conference and 8th International Conference of Chinese Society of Micro/Nano Technology, CSMNT 2017 - Dalian, China
Duration: 26 Oct 201729 Oct 2017

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