An Intelligent Control System of Candy Production Process

Autor:	Bei Zhi Li, Han Yan Chen, Jia Liang Zhang, Jian Guo Yang
Rok vydání:	2011
Předmět:	Engineering Property (programming) business.industry media_common.quotation_subject Control (management) General Engineering Process (computing) Control engineering Fuzzy control system Sensor fusion Production (economics) Quality (business) Intelligent control business Simulation media_common
Zdroj:	Advanced Materials Research. :658-661
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.282-283.658
Popis:	Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a6718153c603b3099976f9e4fc626ec3 https://doi.org/10.4028/www.scientific.net/amr.282-283.658 Zobrazit plný text záznamu