Currently, the energy efficiency test of electric hoist can only be carried out one by one by related personnel on the site, so does the analysis, therefore the test automation is low and the data is disperse, which is not convenient to the collection and analysis of big data, energy-saving design research and energy-saving equipment selection of electric hoist.In the paper, an integrated, automatic and intelligent energy efficiency collection and analysis system for electric hoist is developed by using Internet of Things technology, automation control technology and cloud computing technology, which enables remote collection of energy efficiency parameters, simultaneous operation of multiple sets, unattended operation, automatic testing and data analysis. It provides technical tools for the research of key energy efficiency technologies, energy-saving design, energy-saving equipment selection and energy-saving supervision of electric hoist.
electric hoistcloud platformenergy efficiency collectionremote acquisition
国家科技期刊平台
NSTL
万方数据
维普
