Biogas Generator Temperature Monitoring Based on Time Series Algorithm
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.
biogas generator time series analysis temperature monitoring
Zuo-xun Wang Ying-chun Zhang Gui-juan Wang Rong-ai Meng
Shandong Institute of Light Industry,Jinan,China Shandong Jianzhu University,Jinan,China
国际会议
沈阳
英文
1230-1235
2012-09-07（万方平台首次上网日期，不代表论文的发表时间）