An intelligent operation optimization method for process industry based on extension theory and its application

Under the certainty of production device and technical condition, whether the operating scheme is appropriate or not will directly affect the product quality and output, as well as the consumption of materials and energy. The operating variables are massive and their relations are complex, so that the traditional operating regulation can not meet the requirement in operation optimization. An intelligent operation optimization method based on extension theory is proposed in order to find the best operating scheme. Matter-element and affair-element models are established for operating conditions, production goal and restriction. Extension analysis and transformation are used to obtain the operating scheme. Given values of operating variables are set to form an operating scheme set, and assessment is applied to determine the best operating scheme. The effectiveness of the proposed method has been verified through an actual production operation in HDPE cascade reaction process, which provides a new approach to the regulation of operating conditions in process industry.