A Knowledge Base System for Operation Optimization: Design and Implementation Practice for the Polyethylene Process
| Autor: | Zhou Tian, Xufeng An, Feng Wan, Chaoyuan Li, Weimin Zhong, Xin Peng |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Environmental Engineering
General Computer Science Knowledge representation and reasoning Computer science Materials Science (miscellaneous) General Chemical Engineering Energy Engineering and Power Technology 02 engineering and technology Reuse Ontology (information science) 010402 general chemistry 01 natural sciences Structure (mathematical logic) Artificial neural network business.industry General Engineering Process (computing) Control engineering 021001 nanoscience & nanotechnology Backpropagation 0104 chemical sciences Knowledge base lcsh:TA1-2040 0210 nano-technology business lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Engineering, Vol 5, Iss 6, Pp 1041-1048 (2019) |
| ISSN: | 2095-8099 |
| Popis: | Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene process by improving the performance and the efficiency of reuse of information and knowledge—two critical elements in polyethylene smart manufacturing. In this paper, we propose an overall structure for a knowledge base based on practical customer demand and the mechanism of the polyethylene process. First, an ontology of the polyethylene process constructed using the seven-step method is introduced as a carrier for knowledge representation and sharing. Next, a prediction method is presented for the molecular weight distribution (MWD) based on a back propagation (BP) neural network model, by analyzing the relationships between the operating conditions and the parameters of the MWD. Based on this network, a differential evolution algorithm is introduced to optimize the operating conditions by tuning the MWD. Finally, utilizing a MySQL database and the Java programming language, a knowledge base system for the operation optimization of the polyethylene process based on a browser/server framework is realized. Keywords: Ontology, Operation optimization, Knowledge base system, Polyethylene process |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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