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  4. Vol 6, Issue 4, 2022

Output of Multi-intelligent Simulation Building Products Based on the Needs of Smart Cities

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DOI: 10.23977/acss.2022.060402 | Downloads: 22 | Views: 705

Author(s)

Renchuan Qian 1, Yanyun Qian 2

Affiliation(s)

1 CEO Office, Wenzhou Data Management and Development Group Co., Ltd., Wenzhou, China
2 School of International Education, Guangxi University of Science and Technology, Liuzhou, China

Corresponding Author

Renchuan Qian

ABSTRACT

In the traditional market, the price of a product is mainly determined by the cost of the product itself and the relationship between supply and demand of the product in the market. Product price has always been an important link between producers and consumers. Compared with traditional products, construction products have distinctly different characteristics in terms of economy and technology. Therefore, this article adopts the multi-agent simulation model to study the output of construction products based on the needs of smart cities, and conducts advanced research on the pricing of construction products, which not only has very important academic value, but also has important practical significance. This paper uses Anylogic simulation software to define the attributes and behavior rules of the agent, abstract the agents in the system, define the attributes and behavior rules of the agent, combine the characteristics of the pricing of building products, and use the multi-agent modeling method for construction enterprises and consumption the person conducts multi-agent modeling. The test proves that when the initial price is equal to 12, no matter in the scale-free network or the small world network, no matter which pricing strategy the construction company adopts, when there are pirated products, the number of consumers using construction products is greater than when there is no piracy. This shows that the use of multi-intelligence simulation models to study the output of construction products can not only improve the product pricing level of construction companies, but also promote the vigorous development of my country's construction industry.

KEYWORDS

Smart City Needs, Multi-intelligence Simulation, Building Product Output, Entropy Weight Method Combination Weighting Model, Simulation Model

CITE THIS PAPER

Renchuan Qian, Yanyun Qian, Output of Multi-intelligent Simulation Building Products Based on the Needs of Smart Cities. Advances in Computer, Signals and Systems (2022) Vol. 6: 6-20. DOI: http://dx.doi.org/10.23977/acss.2022.060402.

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