Abstract

With the rapid development of the national economy, the construction industry has become more and more important, and the construction industry has become an important pillar of the Chinese economy. However, with the rise of the construction industry, the number of workers is also increasing, among which casualties due to construction are not A few, which makes the construction industry gradually become a high-risk industry. This paper designs a real-time management and monitoring platform for intelligent prefabricated buildings combined with optimization algorithms. The real-time safety management monitoring platform is of great help to improve management efficiency and reduce potential safety hazards. Prefabricated building construction aims to improve the efficiency of land resource use, tap the potential of the city and improve People's living standards, optimization of traffic and other aspects can have a positive effect. In this paper, a real-time safety management and monitoring platform for prefabricated buildings is designed according to the relevant characteristics of the BIM optimization algorithm. The most obvious advantage of the BIM algorithm is that it can identify technical problems and safety hazards that may be encountered during the construction process as early as possible. Therefore, the use of BIM optimization algorithm for platform design can minimize the problems that workers may encounter in actual construction, thereby improving safety. 77 times, of which the accuracy rate is 96.25%, and the accuracy rate of reading books from the data remains above 94%. The reason for the error may be the error caused by the time delay.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call