Paper
18 March 2022 Data collection method of life-cycle engineering cost information based on ant colony optimization algorithm
Li Ma, Li Zhou, Lingfeng Xu, Lin Yang, Lanfei He, Xuefei Zhang
Author Affiliations +
Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121682L (2022) https://doi.org/10.1117/12.2631142
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China
Abstract
With the development of modern information processing technology, the data collection of project cost information has become more and more complex, and the project cost management model is developing in the direction of networking and informationization. The original project cost information system can no longer meet the requirements of information communication and requires joint processing. Ant colony optimization algorithm has been widely used in engineering cost management. The ant colony optimization algorithm provides a practical solution for the entire life cycle of project cost data collection. This article first analyzes the cost data collection related to the entire life cycle of the power transmission and transformation project, studies the ant colony optimization algorithm, and the related characteristics of the mathematical measurement method, and proposes a series of data models. Analyze the main theories and characteristics of cost data. Through the research of related scholars in the field of "full life cycle engineering cost management", combined with the research results of predecessors and the author's academic achievements, certain suggestions are put forward for the collection of life cycle data.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Ma, Li Zhou, Lingfeng Xu, Lin Yang, Lanfei He, and Xuefei Zhang "Data collection method of life-cycle engineering cost information based on ant colony optimization algorithm", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121682L (18 March 2022); https://doi.org/10.1117/12.2631142
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KEYWORDS
Optimization (mathematics)

Data modeling

Data communications

Analytical research

Algorithm development

Data processing

Information fusion

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