Research on the Application of Furnace Temperature Monitoring in Hot Pressing Furnace Based on Kalman Filter Algorithm of Distribution Graphs

DOI

10.2991/icemaess-18.2018.222How to use a DOI?

Keywords

kalman filter; furnace temperature; distribution graphs

Abstract

Data fusion technology can effectively improve computing efficiency and reduce redundant data. In this paper, the furnace temperature of hot-pressing furnace is taken as the research object. Aiming at the small fluctuation of the fusion result of the average value and the traditional Kalman filter, an improved Kalman filter algorithm is proposed by introducing the distribution graph method, which is used to monitor the furnace temperature data. Simulation results show that the improved algorithm has good fusion effect and can effectively improve the accuracy of furnace temperature data.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Xin
AU  - Mimi Wang
AU  - Wenbin Liu
PY  - 2018/11
DA  - 2018/11
TI  - Research on the Application of Furnace Temperature Monitoring in Hot Pressing Furnace Based on Kalman Filter Algorithm of Distribution Graphs
BT  - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
PB  - Atlantis Press
SP  - 1113
EP  - 1116
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-18.2018.222
DO  - 10.2991/icemaess-18.2018.222
ID  - Xin2018/11
ER  -