近年来随着我国规模化养殖业的迅速发展,猪场集约化程度不断提高,规模养殖迅速扩大,养猪行业融入现代化信息管理技术越来越重要。目前国内外已有多家公司开发了基于RFID的自动化养猪系统,并成功应用在许多养猪场中,取得了可观的效益。...近年来随着我国规模化养殖业的迅速发展,猪场集约化程度不断提高,规模养殖迅速扩大,养猪行业融入现代化信息管理技术越来越重要。目前国内外已有多家公司开发了基于RFID的自动化养猪系统,并成功应用在许多养猪场中,取得了可观的效益。文内介绍了无线射频识别技术(Radio Frequency Identification,RFID)的技术特征,基于RFID的智能养猪管理系统,阐述了RFID技术在生猪养殖中的应用,并就目前该技术在实际应用中存在的主要问题提出思考和展望。展开更多
In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using concept...In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.展开更多
1负损线路治理背景一体化电量与管理系统应用以来,国家电网公司进一步加强线损治理,包括高损、负损线路,为全面推进10 k V线路同期线损管理,查找影响配电线路负损原因,消除管理中存在的疑虑,提升治理效率,笔者通过选取典型线路,现场收...1负损线路治理背景一体化电量与管理系统应用以来,国家电网公司进一步加强线损治理,包括高损、负损线路,为全面推进10 k V线路同期线损管理,查找影响配电线路负损原因,消除管理中存在的疑虑,提升治理效率,笔者通过选取典型线路,现场收集线变关系档案。展开更多
文摘近年来随着我国规模化养殖业的迅速发展,猪场集约化程度不断提高,规模养殖迅速扩大,养猪行业融入现代化信息管理技术越来越重要。目前国内外已有多家公司开发了基于RFID的自动化养猪系统,并成功应用在许多养猪场中,取得了可观的效益。文内介绍了无线射频识别技术(Radio Frequency Identification,RFID)的技术特征,基于RFID的智能养猪管理系统,阐述了RFID技术在生猪养殖中的应用,并就目前该技术在实际应用中存在的主要问题提出思考和展望。
基金Project(08SK1002) supported by the Major Project of Science and Technology Department of Hunan Province,China
文摘In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.
