以APSIM甘蔗模型(APSIM-Sugar)为例,简要介绍了由澳大利亚农业生产系统研究协作组(APSRU)开发的农业生产系统模拟模型(Agricultural Production System si Mulator,APSIM)中作物、土壤等核心模块的基本过程原理、参数确定、模型验证等...以APSIM甘蔗模型(APSIM-Sugar)为例,简要介绍了由澳大利亚农业生产系统研究协作组(APSRU)开发的农业生产系统模拟模型(Agricultural Production System si Mulator,APSIM)中作物、土壤等核心模块的基本过程原理、参数确定、模型验证等模块化设计与应用研究进展,为学习了解和使用APSIM模型开展农田土壤-作物系统模拟研究提供参考。展开更多
Grate process is an important step in grate-kiln pellet production.However,as a relatively closed system,the process on grate is inaccessible to direct detection,therefore,it is hard to control.As a result,mathematica...Grate process is an important step in grate-kiln pellet production.However,as a relatively closed system,the process on grate is inaccessible to direct detection,therefore,it is hard to control.As a result,mathematical models of temperature distribution,moisture distribution and oxidation degree distribution in pellet bed,with good universality,computation speed and calculation accuracy,are presented based on analysis of heat transfer and physical-chemical reactions during grate process.And real-time visualization of temperature,moisture and oxidation degree distribution in pellet bed during grate process is realized.Model validation is displayed,and the similarity of 91% is proved.The results can reveal real time status on grate,and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production.展开更多
文摘以APSIM甘蔗模型(APSIM-Sugar)为例,简要介绍了由澳大利亚农业生产系统研究协作组(APSRU)开发的农业生产系统模拟模型(Agricultural Production System si Mulator,APSIM)中作物、土壤等核心模块的基本过程原理、参数确定、模型验证等模块化设计与应用研究进展,为学习了解和使用APSIM模型开展农田土壤-作物系统模拟研究提供参考。
基金Project(NCET050630) supported by Program for New Century Excellent Talents in University,China
文摘Grate process is an important step in grate-kiln pellet production.However,as a relatively closed system,the process on grate is inaccessible to direct detection,therefore,it is hard to control.As a result,mathematical models of temperature distribution,moisture distribution and oxidation degree distribution in pellet bed,with good universality,computation speed and calculation accuracy,are presented based on analysis of heat transfer and physical-chemical reactions during grate process.And real-time visualization of temperature,moisture and oxidation degree distribution in pellet bed during grate process is realized.Model validation is displayed,and the similarity of 91% is proved.The results can reveal real time status on grate,and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production.
