Title :
Intelligent operation and control of refrigeration craft in cold storage
Author_Institution :
Sch. of Energy & Archit. Eng., Harbin Univ. of Commerce, Harbin, China
Abstract :
In this paper, we discuss the difference between intelligent and non-intelligent system, and analyze some problems in the development and research of auto-control system in the cold storage. These problems involve engineering survey, predictive control of technical parameters, control reliability of machinery equipment, local control and global control. And the methods of artificial neural networks, genetic algorithm and least square are put forward to resolve them.
Keywords :
genetic algorithms; least squares approximations; neurocontrollers; predictive control; refrigeration; artificial neural networks; autocontrol system; cold storage; engineering survey; genetic algorithm; global control; least square; local control; machinery equipment control reliability; nonintelligent system; predictive control; refrigeration craft control; refrigeration craft intelligent operation; Accidents; Artificial intelligence; Compressors; Computers; Temperature control; Temperature measurement; cold storage; intelligent control; intelligent operation; least square method;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201723
