Biogas Generator Temperature Monitoring Based on Time Series Algorithm
Zuo Xun Wang, Ying Chun Zhang, Gui Juan Wang, Meng Rong-ai · Applied Mechanics and Materials · 2012
The biogas generator temperature control is very important to the temperature of the biogas generator for effective control, So the temperature must be monitored. Pre-estimated by measuring the temperature and fast temperature control is the most effective means. In this paper, using time series analysis method, we establish three prediction models, which are namely autoregressive model, moving average model, hybrid model. By comparison of three models, the final choice to predict the temperature of the biogas generator is mixed model analysis of time series. The test error is very small, indicating that the method has some practical value.