Human-Machine Integration Design of Intelligent Manufacturing System : A Design Case of Intelligent Equipment

With progress being made in automation control of machine vision, more and more machine vision-based Intelligent Manufacturing Systems (IMS) become applied to production. Nevertheless, the industry is beset by many problems concerning precision, cost, man-machine coordination, and resulting balance issues. In this paper, a machine vision-based IMS scheme characterized by high precision, low cost, and balanced man-machine coordination is proposed. The scheme designs some key stages using the man-machine idea in an integrated way. In the calibration stage, an integrated design approach is suggested hereby with a retrogradely rotated coordination system to fit the circle center, camera mapping, and N-point calibration. The approach could both optimize the calibration process and improve calibration precision. When it comes to the production stage, positioning design incorporating two-point and single-point design patterns are achieved. For two patterns, one-key and fly photographing are designed for positioning them, respectively. Integration of two design plans not only shortens production time but also raises fitting precision. Experimental findings indicate machine-based IMS designed in this paper features high precision, good stability, and satisfactory man-machine blending. The design scheme could be applied to most industrial scenes and has the potential of being widely applied to practice