基于FBP网络的打浆度软测量技术的研究及应用

STUDYING AND APPLICATION OF THE PULPING DEGREE′S SOFT MEASURING BASED ON FBP NEURAL NETWORK

针对目前国内在制浆造纸工业中打浆度无法在线测量的难题,分析了打浆度与进浆浓度、进浆流量、进浆压力、打浆消耗的电功率、打浆前后纸浆的温差、打浆时间等参数的关系,提出了基于FBP算法的打浆度软测量技术,成功地完成了打浆度的在线检测.

Considering the pulping degree can not be on-line measured presently in our control, the relationship between pulping degree and pulp consistency, pulp flux, pulp press, electric power, pulp＇s error temperature as well as beating time etc. is analyzed, the soft measuring technique based on FBP neural network is proposed in this paper. This method is applied to pulping degree on-line measure successfully .