A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Research on Prefabricated Building Decision Support System Using Artificial Intelligence and Data Processing
This paper studies the intelligent aided decision making based on Web and building information modeling. Then, based on the network global information network and functional components, this paper builds a network BIM platform. Then, the new idea of energy cost increase control based on life cycle of prefabricated buildings is studied. By analyzing the cost increase of the whole process of prefabricated house construction, the corresponding increment index is obtained. The project cost is predicted by using grey system method based on the building information model. By integrating the increment index with the cost growth index, a dynamic model of cost growth is established. By using this model, the correlation rules among various cost growth indices are obtained. This method is improved to control the increase of energy consumption cost in the whole construction process. The decision results of this method are verified from the perspectives of shock resistance and value index. It is proved that the theory and algorithm proposed in this project are feasible.
Research on Prefabricated Building Decision Support System Using Artificial Intelligence and Data Processing
This paper studies the intelligent aided decision making based on Web and building information modeling. Then, based on the network global information network and functional components, this paper builds a network BIM platform. Then, the new idea of energy cost increase control based on life cycle of prefabricated buildings is studied. By analyzing the cost increase of the whole process of prefabricated house construction, the corresponding increment index is obtained. The project cost is predicted by using grey system method based on the building information model. By integrating the increment index with the cost growth index, a dynamic model of cost growth is established. By using this model, the correlation rules among various cost growth indices are obtained. This method is improved to control the increase of energy consumption cost in the whole construction process. The decision results of this method are verified from the perspectives of shock resistance and value index. It is proved that the theory and algorithm proposed in this project are feasible.
Research on Prefabricated Building Decision Support System Using Artificial Intelligence and Data Processing
Wang, Liyan (author)
2024-06-28
1393965 byte
Conference paper
Electronic Resource
English
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