A Dispatch Method of Air Compressors Based on Forecasting Consumption
Pneumatic system operation status and problems were analyzed in the industrial production site; Considering the 24 hours as a time unit, the feature of compressed air consumption was studied every 20 seconds in 24 hours in the industrial production site. Then, presenting a forecasting method, which is workable and the overall mean in line with air consumption changes in the law. This forecasting method is for the purpose of the operation dispatching of air compressors in the industrial site, and the forecasting accuracy meets the requirement of air compressors operation dispatching. Finally, with the forecasting consumption of compressed air , a optimal scheduling algorithm of compressor group is given.
pneumatic system energy-saving forecast model neural network optimal scheduling
Xiangheng FU Dewen KONG Rongzhi SONG Yan SHI Maolin CAI
School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astron School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astro
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
218-222
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）