Human Support Interface for Operation of Industrial Crane Based on RNN

A mobile crane is widely used not only to daily work but also to carry heavy materials efficiently in a construction site after the time of disaster. However, the decreases in the number of expert persons induce crane accident. As it is well known, the crane operation is highly complicated even for experts. It is required to realize a partial automation of crane operation and human support technology in the near future. In this paper, a human interface system is proposed intended to human support of a mobile crane operation. We developed the crane simulator which is composed of the hydraulic circuit model and the model for a crane dynamics. Based on the simulator, the human interface system for the operation support based on recurrent neural network (RNN) is proposed.