The invention discloses an intelligent working
system for unmanned
engineering machinery and a working method and relates to the field of unmanned and
intelligent control. The problems that accordingto existing
engineering machinery, in an application process, manpower resources are wasted, working efficiency is low, working accuracy is relatively low, physical and
psychological health of a driver are seriously impaired, and intelligent operation cannot be realized due to high
workload and a severe
working environment are solved. According to the
system provided by the invention, a 3D
terrain, a vehicle state, working task progress, a working medium and a practical scene are taken as input, vehicle
energy consumption and working efficiency are taken as optimization goals, and a working mode of a working device is adjusted and improved continuously based on a
deep learning method.
Deep learning is taken as an important method for the
artificial intelligence. According to the unmanned
engineering machinery, for different complex working media, different working scenes and different working
modes, a working task and the working mode can be dynamically and rationally changed accordingto data collected by the unmanned engineering machinery itself, the working efficiency and working precision are improved, and the working
energy consumption is reduced.