Identification and control digital twinning system of large-tonnage loader

The invention discloses an identification and control digital twinning system for a large-tonnage loader, relates to a machine learning and big data mining technology, is oriented to a complex electromechanical intelligent equipment digital twinning technology, and comprises an operation environment identification system, a data expansion system, a twinning model control system and a data storage system, wherein the working environment identification system is mainly used for identifying the working environment of a large-tonnage device by using functional devices such as a laser range finder, an image sensor and a position sensor, and screening, filtering, classifying and the like are carried out on data obtained by identification to obtain useful working environment data; the data expansion system is mainly used for fusing currently obtained time sequence big data, operation object morphology big data, equipment morphology small sample data and historical operation data to form an initial data set fused wit