Mass block loading and unloading method and system based on deep neural network

The invention discloses a mass block loading and unloading method and system based on a deep neural network, and relates to the technical field of automation and control engineering, and the method comprises the steps: constructing a mass block operation distance prediction model based on the deep n...

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Hauptverfasser: ZHANG ZHAOFENG, LI ZHEN, WANG YUXIANG, LIU DAMENG, MOU XUEPENG, LUO CHEN, WANG BIN, CHEN JULONG, ZHANG YU, YANG JIERUI, ZHU YONGQING, LI KUI, LONG JIAHUAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a mass block loading and unloading method and system based on a deep neural network, and relates to the technical field of automation and control engineering, and the method comprises the steps: constructing a mass block operation distance prediction model based on the deep neural network; designing a self-adaptive algorithm to automatically adjust the speed and direction of the crane; constructing a coordinate system for the operation of the crane; carrying out a mass block loading and unloading process; and safety monitoring and energy conversion are carried out in the hoisting process. The motion state and the final position of the mass block are predicted more accurately through a mass block operation distance prediction model of the deep neural network, the speed and the direction of the crane can be automatically adjusted based on a real-time wind speed self-adaptive algorithm, and vibration, distance and temperature sensors are combined, so that the speed and the direction of th