Optimize The System, Based On The Alumina Raw Slurry Ingredients Of The Case-based Reasoning

Blending is the first work procedure of the alumina production by sintering method, and the quality of the pulp directly relates to the sintered mixture. Most technique men agree with that blending is the basic and the sintering is the key. Comparing with the classical manual method of compute ratio, rule-based expert system improved the compute speed and the precise. However, the problem of bottle neck in expert systems results to bad expansibility, and inadaptable with the changes of the produce process.Expert system is based rule base, but it is difficult to modify, update or learn the rules; so it can not use normally when the produce work procedure has adjusted or new equipments have added. In this case, the expert system needs to develop again, then the maintenance expanse is added, and the normal production is effected. Based on the long-period knowledge of produce experience and the technology of case-based reasoning (CBR), a blending CBR system that adapts productive features is studied in this paper.Above of all, in order to realize the blending CBR system in production of alumina, according to the content and the principles of the case expression, the blending case expression based frame is discussed in detail, the given quality index and material component are designed to the condition features, and the mixture ratio is designed to the decision features. The organizatition methods and the maintenance algorithms of the case base are researched. Then the case base of the blending system is designed. Secondly, aiming at solving the problems of the existing algorithms such as poor objectivity and high complexity, a method based on coverage for determining the case feature weights is proposed, which calculates the case feature weights by the affecting of each attribute to the case average coverage, it improved the precise of the system retrieve. Thirdly, in view of the characteristics the technologic changes in blending system, a case adaptation mode with its adjust parameters and steps could be chosen was put forward, the error between the quality index predicted by the mechanism model and the given quality index was designed as an input of the case adaptation, then the strategy of the case adaptation based on the mechanism model was proposed, the mechanism model was designed to the case review. The simulation results which were gotten by the CBR system and the blending expert system are compared, which verifies effectiveness of the method and the ability of the adaptation in the changes of the work procedure. Lastly, the realization of the system function and the key technologies is introduced. The running results which were gotten by the CBR system and the blending expert system are compared, which proved that the CBR system can ensure the quality of pulp and stabilize industrial production.