Intelligent drying remote control method and system based on cloud platform big data recommendation

• Main Authors: GOU XINHUA, SHU QINGLU, DU MINGHUA, YUAN LI, REN LIANCHENG, LI TAIFU, LI YANMEI, SI BIAO, REN JUNPING, LIU HUAIXU
• Format: Patent
• Language: Chinese; English
• Published: 08.03.2017
• Subjects: BLASTING; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DRYING; DRYING SOLID MATERIALS OR OBJECTS BY REMOVING LIQUID THEREFROM; HEATING; LIGHTING; MECHANICAL ENGINEERING; PHYSICS; WEAPONS

The invention provides an intelligent drying remote control method and system based on cloud platform big data recommendation. The method includes the steps that an influence factor matrix is formed according to the to-be-dried raw material humidity, drying room indoor and outdoor temperature and humidity curves, drying time and images; an index matrix is formed according to product drying degree, uniformity, total elapsed time and energy consumption samples which are collected under different decision variable influences, an Elman neural network is used for training and checking the index matrix, and a dynamic drying model is built; an MOPSO algorithm is used for optimizing the dynamic drying model, and a set of optimal solutions of each decision variable and the drying degree, the uniformity, the total elapsed time and the total consumed energy which correspond to the optimal solutions are obtained; and the dynamic drying model is used for forecasting real-time data to obtain recommendation decisions, the r