One cabin equipment location method based on the visibility human-factor potential field
Author(s) -
Zhexue Ge,
Fuzhang Wu,
Yongmin Yang,
Xu Luo
Publication year - 2015
Publication title -
eksploatacja i niezawodnosc - maintenance and reliability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 27
eISSN - 2956-3860
pISSN - 1507-2711
DOI - 10.17531/ein.2015.2.10
Subject(s) - visibility , field (mathematics) , factor (programming language) , computer science , geography , meteorology , mathematics , pure mathematics , programming language
Ships, aircraft, armored vehicle, etc. usually consist of cabin structure, and there are a lot of cabin equipment requires manual inspection, monitoring, maintenance and operation [10]. In the cabin design process, visibility is one very important design factor to ensure the monitored equipment within the visual scope [9]. All the equipment to be maintained need reasonable operation space, and the determination of the space distribution of the equipment is an important part of the product design. There are a large number of studies analyzing the visibility of product. However, in most cases the process is based on the graphics method and needs manual participation. Yin adopts visual cone method to assess the visibility of manufacturing process [12]. Bidault combines the method of clipping plane and visual cone [3]. In order to increase the design and analysis efficiency of the space layout design, the model based on visibility optimization design method is indispensable, but there are very few relative studies at present. This paper mainly studies the cabin equipment layout method from the field point of view. To describe the relationship between the human body, the obstacle and the object, the conception of the humanfactor potential field is put forward in the paper, and the mathematical model of visibility potential field is established. Then the optimization design method of space layout based on the visibility target is studied so as to improve the spatial layout of visual design efficiency and design quality. The layout optimization design model is established and solved by the particle swarm optimization algorithm.
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