Improvement of maintenance visibility analysis method based on human visual field cone

HE Chunhua, FANG Zhou, LI Yang, YI Pengxing*

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract: ［ Objectives］ Since the visual cone maintenance visibility analysis method based on the visual field of the human eye cannot quantitatively evaluate visibility and visual field occlusion, an improved visibility evaluation model is proposed.［ Methods］First, the plane field vision model of the object is established according to the visual field cone of the human eye in order to determine its visual range. Combined with distance and volume of the object, the visual range is evaluated. Next, a line-of-sight model from the human eye to various parts of the object is built to judge the intersection of line-of-sight and other objects, and identify the shielding of the objects. Finally, the evaluation results are quantified. The improved maintenance visibility analysis function module is realized in DELMIA software by carrying out secondary development in a VC++ environment with CAA+RADE.［ Results］ In the maintenance visibility verification of a welding workstation, the improved method can effectively evaluate visibility, quantify the evaluation results and quantitatively evaluate the occlusion of objects.［Conclusions］The improved method greatly improves the comprehensiveness and rationality of visibility analysis in complex equipment maintenance. Key words: visibility analysis；visual field cone；quantitative evaluation；bounding box；secondary development of DELMIA software