Research on Grading Method of Energy Efficiency Rating of Portal Crane

Kun CHEN, Wei DAI, Li-jun E, Guang ZHANG, Bin HONG, Lei GUO


This paper combines the hoisting mechanism of the gantry crane, the oscillating mechanism and the luffing mechanism's own operating characteristics and the physical model of its energy consumption. Through the multiple regression analysis method and the neural network model, the influencing factors of each energy consumption can be determined for each mechanism of the portal crane. The extent of the impact. Finally, the data set is obtained by the regression model and the neural network model simulation output, and the distribution of energy consumption values is obtained through the box line diagram to determine the energy efficiency level and range.


Energy efficiency rating, Multiple regression, Neural network, Box plot


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