Calculation and Prediction of Energy Consumption in Discrete Manufactures Based on Knowledge
There are great potentialities of energy saving in discrete manufactures, however, related researches were weak in this area. The result of calculation and prediction of energy consumption could be used to aid process planning evaluation and workshop scheduling, and it is the basis for fine energy management. Three parts were discussed for energy consumption in this paper. Firstly, ontology was used to make the calculation of energy consumption explicitly, and it could make concept of energy management sharable. First order logic was used in common sense questions reasoning and calculation of energy consumption. Secondly, CBR technology was used to predict energy consumption. In view of the characteristics of energy consumption in discrete manufactures, the idea of hierarchical case-based reasoning technology was adopted. There are different indexing strategies from product to part; indexing based on machining tools was adopted at last. Ultimately, in the layer of machining operation, Neural Networks was used in data mining to predict energy consumption corresponding to a set of operating parameters.
Knowledge Discrete Manufacture Energy Consumption
Gong Yun-qi LV Min WANG Gang Zhou Ke
Advanced Manufacturing Technology Center, Harbin Institute of Technology,Harbin P.R.China, 150001
国际会议
天津
英文
2007-10-20（万方平台首次上网日期，不代表论文的发表时间）