Study On Expert System For Iron Ore Matching In Sintering

Nowadays iron ore matching has been a focus in sintering study, and matching expert system (MES) has been a new field in study on iron ore matching. In this paper, study of MES bases on the sintering test of sinterplant, Xiangtan I&S co.MES is consists of three parts: producing part of Matching scheme, forecast model of sinter quality and output, and the redressal system. The aim of producing part is to produce a matching scheme in which the chemical composition is in a proper range. The forecast model forecasts the sinter property of matching scheme in a certain condition and the redressal system adjusts the matching scheme through the state judgement of the forecast and matching scheme.1. Producing part of matching schemeMatching scheme is produced by user's input. The system examine chemical composition of the scheme when the sum of all of the ores which are participate in the matching is 100%, chemical composition examine is mainly examine the proper range of SiO2,TFe,CaO,MgO and A12O3 in the mixed ores.2. Forecast model of sinter quality and outputThe forecast model is based on the BP Neural Networks. The input parameter of model is consist of SiO2, TFe, CaO, MgO, A12O3 and +0.25mm size ores of participated concentrates and SiO2, TFe, CaO, MgO, A12O3, -0.25mm size ores and 1 ~ 3mm size ores of powder ores, the output parameter is the sintering speed and strength of sinter.The number of latent layer in BP Neural Networks is only one, and which member is 27, the velocity of study is aptotic and which initialization is 0.9, initialization of right and threshold is 0.5 and 0.2, power function is3. The redressal systemThe knowledge of the redressal system comes from the general conclusion of sintering test, and the adjusting knowledge is the heuristic knowledge that expressed by produced rule. The aim of adjusting is the content of SiO2 in the mixed ores, based on the ore's content to determine the adjusting target;adjusting step is confirmed based on the forecast and the state of the adjustingtarget.