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20 October 2022 Development of engineering volume estimation analysis software for regulation consumption project of construction and demolition waste
Mingduan Zhou, Jiayi Shi, Zhongzheng Wang, Xu Ji, Yuelan Li
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Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123500I (2022) https://doi.org/10.1117/12.2652867
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China
Abstract
The amount of engineering volume estimation is crucial for cost decision of regulation consumption project of construction and demolition waste. In view of the fact that the traditional tool software because of the disadvantage of algorithm model encapsulation, it is difficult to meet the data analysis requirements for regulation consumption project of construction and demolition waste, the algorithm model for regulation consumption project of construction and demolition waste is proposed based on the depth analysis of convex hull polygon generation algorithm, D-TIN model construction algorithm and triangle volume estimation algorithm, and the analysis software named as CWVMS for regulation consumption project of consumption and demolition waste is designed and developed via c# programming language based on the development platform of visual studio 2015. Through the calculation and analysis of engineering example, the correctness of function module design of the CVWMS software is verified, and the proposed algorithm model is effective. The digitization data analysis tool of the volume estimation for regulation consumption project of construction and demolition waste is provided in this paper.
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Mingduan Zhou, Jiayi Shi, Zhongzheng Wang, Xu Ji, and Yuelan Li "Development of engineering volume estimation analysis software for regulation consumption project of construction and demolition waste", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123500I (20 October 2022); https://doi.org/10.1117/12.2652867
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KEYWORDS
Algorithm development
Data modeling
Software development
Statistical analysis
Visual process modeling
3D modeling
Data analysis
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