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A knowledge based supervisory support system for pan stage operations in a sugar mill

机译:基于知识的糖厂平移操作监督支持系统

摘要

The recent downturn in world sugar prices has placed even greater demands upon the Australian sugar industry to reduce the costs of sugar manufacture and increase the consistency of producing high quality sugar. One of the proposed approaches in increasing the consistency of very high quality sugar production and leveraging further avenues for cost saving is in the development of a computer based advisory system. This system is able to provide expert knowledge in the area of pan stage management and best practices in the absence of human experts. This thesis explores the design, key features and outcomes of a knowledge based supervisory support system (KBSSS) framework proposed specifically for providing cooperative decision support in the area of pan stage operations within a sugar mill. To demonstrate the viability of the proposed KBSSS framework a prototype system was develop ed in accordance with the proposed framework. The KBSSS utilises three core innovative system technologies that form the core components of the proposed KBSSS framework. These technologies are: 1) Dynamic industrial pan stage process models for identifying the dynamic relationships between sections of pan stage operations to allow for future forecasting of pan stage operating conditions, 2) Integration techniques for the merging of the developed pan stage process models into the hybrid fuzzy logic expert system rule base to provide localisation adjustment to match with local real world factory operational conditions, and 3) Explanatory capabilities to provide justification and support of system advice and recommendations. As a result of research and development carried out in this thesis, the KBSSS's test results demonstrated in the thesis indicate the viability of the proposed KBSSS framework and highlight the forecasting capabilities of the developed system resulting in favourable outcomes compared to data from pan stage operations. As a result of the research undertaken in the thesis a prototype KBSSS, for pan stage operations, based upon the three core supporting intelligent system technologies reported in the thesis has been developed.
机译:最近世界糖价的下跌对澳大利亚制糖业提出了更高的要求,以降低制糖成本并提高生产高品质糖的一致性。在提高基于高质量的食糖生产的一致性并利用更多途径节省成本方面,所提出的方法之一是开发基于计算机的咨询系统。该系统能够在缺少人工专家的情况下提供锅台管理和最佳实践方面的专家知识。本文探讨了基于知识的监督支持系统(KBSSS)框架的设计,主要功能和成果,该框架专门为在糖厂的阶段性操作领域提供合作决策支持而提出。为了证明所提出的KBSSS框架的可行性,根据所提出的框架开发了一个原型系统。 KBSSS利用了三种核心创新系统技术,这些技术构成了建议的KBSSS框架的核心组件。这些技术是:1)动态工业锅台工艺模型,用于识别锅台操作各部分之间的动态关系,以便将来对锅台操作条件进行预测; 2)集成技术,用于将已开发的锅台工艺模型合并到炉台操作模型中。混合模糊逻辑专家系统规则库,以提供与本地实际工厂操作条件相匹配的本地化调整,以及3)解释功能,为系统建议和推荐提供依据和支持。由于本文进行了研究和开发,因此本文证明的KBSSS测试结果表明了所提出的KBSSS框架的可行性,并强调了已开发系统的预测能力,与泛台操作的数据相比,具有良好的结果。作为本文研究的结果,基于本文所报告的三大核心支持智能系统技术,开发了用于平移舞台操作的KBSSS原型。

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  • 作者

    Dodd R;

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  • 年度 2008
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