This paper aims at building up the scale prediction model in pipe of the hydraulic transport ash in coal-fired power plant.Firstly,the influencing factors of the scale rate are discussed and four primary factors and their effect laws by experiments are adduced.Next the graphs derived above are regressed and the relationship between the factors and the scale rate are given.but,the production of scale is a result of numerous factors,it hard to solve the problem by mere mathmatical methods,as a matter of fact, in the later part of the paper,Artificial Neural Networks is proposed,making use ofof its self-educated and the abilities of imagination and memory, a scale prediction model in the wet-ash trandportation system is build up at last.Yu Boqu( environmental Engineering)Directed by Prof. Yin LianqingAssociate Prof. He Fengming...
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