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Researchers combine artificial intelligence (AI) technology with knowledge in various fields of construction industry, making AI technology widely applied in the construction industry. The application of artificial intelligence in building planning as well as an architectural structure has been used in the construction industry to achieve good economic and social benefits.

On the one hand, AI is used for building planning. The traditional construction management mainly depends on the manual recording of the construction related processes and the artificial drawing of the construction plan. For the development and wide application of AI technology, building site management has been widely applied by means of operational research, mathematical logic and AI technology. As a result, the construction enterprise site management application system based on the C/S environment framework covers all aspects of the site management (Arditi & Pulket, 2010). The AI system uses a strong database, with stable performance, very strong data storage and processing capability, convenient upgrade and maintenance services. In view of the complex characteristics of the site personnel, AI technology has set a strict authority management function to ensure the security of the data. The general project will be subcontracted in the process of construction (Chan & Seah, 2011).

On the other hand, AI technology is applied in architectural structure. With the continuous occurrence of geological disasters and its serious harm, building structure control and structural health diagnosis is particularly important. The traditional identification method of the structural system is difficult to identify, which is only suitable for linear structural system identification and poor anti-noise ability. In recent years, with the application of AI technology, the structural system identification method of artificial neural network, fuzzy neural networks with strong nonlinear mapping ability and the ability to learn, to structure dynamic test response data to establish the model of the dynamic characteristics of the structure (Aziz, et al., 2014). The fuzzy neural network can accurately predict the dynamic structure in arbitrary dynamic response, so it not only can be used in structural vibration control and health diagnosis, but also can join other identification methods are summarized in the rules with strong scalability and practicability (Williams & Mcowan, 2016).

In summary, AI technology could be used in construction of a smart city. It will be embodied in many fields, such as intelligent transportation, smart home, intelligent management and so on. Such an application of AI is going to integrate new information technology into urban planning and construction management, including intelligent community management and urban management in smart city.

Reference

Arditi, D., & Pulket, T. (2010). Predicting the outcome of construction litigation using an integrated artificial intelligence model. Journal of Computing in Civil Engineering, 24(1), 73-80.

Aziz, R. F., Hafez, S. M., & Abuel-Magd, Y. R. (2014). Smart optimization for mega construction projects using artificial intelligence. Alexandria Engineering Journal, 53(3), 591-606.

Chan, K. T., & Seah, E. (2011). Optimizing portfolio construction using artificial intelligence. International Conference on Computer Sciences and Convergence Information Technology (Vol.3, pp.338-343). IEEE.

Williams, H., & Mcowan, P. W. (2016). Magic in pieces: an analysis of magic trick construction using artificial intelligence as a design aid. Applied Artificial Intelligence, 30(1), 16-28.