Application maturity evaluation of building steel structure welding robotic technology based on combination weight and multi-level grey theory

Author:

Yu Hongliang12,Peng Zhen1,He Zirui1,Huang Chun1

Affiliation:

1. Evergrande School of Management, Wuhan University of Science and Technology, Wuhan, China

2. BIM Engineering Center of Hua Zhong University of Science and Technology, Wuhan, China

Abstract

In China, steel structure building has become an important direction of national support and development. As a link in steel structure construction, welding plays a vital role. With the continuous development of domestic steel structures in the direction of “big, special, and new”, manual welding becomes increasingly difficult. The application of robotic technology can effectively reduce the problems of unstable quality and low efficiency caused by manual welding. However, how to evaluate the overall application effect of this technology from the perspective of steel structure construction projects is an urgent problem to be solved at present. Through an in-depth analysis of the technology of building steel structure welding robots, combined with the idea of the capability maturity model and WSR methodology, the evaluation index system of application maturity of building steel structure welding robotic technology is designed. In addition, according to the gray, fuzzy, and difficult-to-quantify characteristics of the evaluation index system, the evaluation model of the application maturity of the building steel structure welding robot technology is established by using the subjective and objective combination weighting method and the gray system theory. In this model, the mixed weighting method of AHP and entropy weight method is used to determine the index weight, and then the multi-level gray theory is used to comprehensively evaluate the maturity of the technology application. Lastly, a project is used as an example to check the science and feasibility of the model.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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