TY - GEN
T1 - Research on unmanned electro-acoustic composite dust concentration monitoring network system based on C-MBUS
AU - Zhang, Y.
AU - Lou, W. Z.
AU - Liao, M. H.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Combustible dust concentration reaches the concentration limit is one of the sufficient conditions for dust explosion, thus monitor of dust concentration is an effective way to prevent the occurrence of disaster, and however, there is no combustible practical technology for real-time detection of dust concentration. To solve this problem, an unmanned 'acoustic-electric' composite detection program that is base on C-MBUS bus is propose, and complete the design for mixed system structure. The concentration monitoring network system and the two data fusion model are propose by analyzing the advantages of C-MBUS bus technology and data characteristics of composite detection system. Making multi-sensor data fusion that based on Kalman filter algorithm, using the semi-physical simulation to simulate the capacity test of the C-MBUS bus communication network. Finally, the monitoring network system of unmanned combustible dust concentration is form. The experimental result shows that it can meet the needs of the monitoring of industrial dust concentration with unmanned, real-time, rapidly and accurately by using the unmanned density monitoring network system in this paper that based on the C-MBUS bus.
AB - Combustible dust concentration reaches the concentration limit is one of the sufficient conditions for dust explosion, thus monitor of dust concentration is an effective way to prevent the occurrence of disaster, and however, there is no combustible practical technology for real-time detection of dust concentration. To solve this problem, an unmanned 'acoustic-electric' composite detection program that is base on C-MBUS bus is propose, and complete the design for mixed system structure. The concentration monitoring network system and the two data fusion model are propose by analyzing the advantages of C-MBUS bus technology and data characteristics of composite detection system. Making multi-sensor data fusion that based on Kalman filter algorithm, using the semi-physical simulation to simulate the capacity test of the C-MBUS bus communication network. Finally, the monitoring network system of unmanned combustible dust concentration is form. The experimental result shows that it can meet the needs of the monitoring of industrial dust concentration with unmanned, real-time, rapidly and accurately by using the unmanned density monitoring network system in this paper that based on the C-MBUS bus.
KW - C-MBUS
KW - acoustic-electric composite detection
KW - network systems
KW - unmanned
UR - https://www.scopus.com/pages/publications/85050876686
U2 - 10.1109/ICUS.2017.8278371
DO - 10.1109/ICUS.2017.8278371
M3 - Conference contribution
AN - SCOPUS:85050876686
T3 - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
SP - 368
EP - 372
BT - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
A2 - Xu, Xin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Y2 - 27 October 2017 through 29 October 2017
ER -