TY - JOUR
T1 - Data fusion algorithm for rapid multi-mode dust concentration measurement system based on MEMS
AU - Liao, Maohao
AU - Lou, Wenzhong
AU - Wang, Jinkui
AU - Zhang, Yan
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/3/29
Y1 - 2018/3/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045676633&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/986/1/012030
DO - 10.1088/1742-6596/986/1/012030
M3 - Conference article
AN - SCOPUS:85045676633
SN - 1742-6588
VL - 986
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012030
T2 - 19th Annual Conference and 8th International Conference of Chinese Society of Micro/Nano Technology, CSMNT 2017
Y2 - 26 October 2017 through 29 October 2017
ER -