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23 November 2022 Research on an innovative design method of modularized assembled indoor installation transportation device: take GIS as an example
Junjie Lv, Ronquan Fan, Xiao Wu, Xiaobo Zheng, Lu Xiao, Xiwen Yang
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Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124541K (2022) https://doi.org/10.1117/12.2658829
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China
Abstract
As many enterprises and factories rely on indoor heavy equipment to complete production work, due to the limited indoor working space during the transportation and installation of this heavy equipment, it is more difficult to use traditional lifting devices or large lifting devices due to their large size. It is difficult to enter the room to complete the corresponding work, and each time it is necessary to build and dismantle the lifting device according to the site conditions, resulting in difficult construction, low efficiency, poor versatility, and other problems. Therefore, a new type of indoor installation transportation device is urgently needed to solve this problem. Using innovative design methods to design a new type of installation transportation device is an important method to solve the above problems. Given the current problems of indoor installation transportation devices and the user requirements of such devices, this paper is based on a variety of innovative design theories such as QFD, AD, and TRIZ to research, establish a device innovation design process model, and design a new type of indoor installation and transportation device based on the model, taking GIS indoor heavy equipment as an example, and verify the effectiveness of the device.
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Junjie Lv, Ronquan Fan, Xiao Wu, Xiaobo Zheng, Lu Xiao, and Xiwen Yang "Research on an innovative design method of modularized assembled indoor installation transportation device: take GIS as an example", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124541K (23 November 2022); https://doi.org/10.1117/12.2658829
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KEYWORDS
Process modeling
Instrument modeling
Product engineering
Motion controllers
Analytical research
Structural design
Mechanical engineering
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