Construction site management is a common direction of artificial intelligence in the engineering field. The application of artificial intelligence technology can improve the safety level of workers and optimize construction. Jun WANG et al. proposed three blockchain-based applications for improving the existing processes in contract management, supply chain management, and equipment leasing. Hakob AVETISYAN et al. established a mathematical model based on the previous successfully developed decision support model of construction equipment selection. This model was combined with a web server to select optimal construction equipment for a construction site while considering cost-, availability-, and transportation-related issues. Xincong YANG et al. proposed the use of biomechanical models and machine learning methods to identify human joints from video or images automatically that could provide a reliable basis for predicting the impact of construction activities on the safety and health of construction workers. Qixiang FAN pointed out that the Jinsha River Xiluodu Hydropower Plant utilized a variety of intelligent construction techniques, such as precision blasting, digital grouting, intelligent concrete pouring, and intelligent water cooling technology, to overcome many technical problems; Hongtao ZHOU et al. proposed a new construction site management mode for intelligent construction sites of large-scale construction projects with the ultimate goal of achieving safe, efficient, and high-quality construction. Bahaa Eddine MNEYMNEH et al. evaluated computer vision algorithms, particularly target detection and color-based segmentation methods, to detect helmets in the site effectively and rapidly. Yu ZHONG introduced the technical innovation of Sanyang Road Long River Tunnel Project in Wuhan that uses BIM-based digital management and control key technologies to achieve construction scheme optimization, monitoring of construction quality and schedule, and error monitoring during construction.
Project decision-making is crucial in the operation of projects. Therefore, the use of artificial intelligence technology to achieve optimal decision-making will have a positive impact on the project performance. Dongping CAO et al. evaluated the impact of BIM implementation on the performance of project participants. The data analysis results based on the partial least squares method show that information sharing and collaborative decision-making capabilities supported by BIM have improved the work efficiency of both designers and general contractors. Sang Hyun LEE proposed the application of system dynamics to the strategic decision-making process in construction as a supplement to discrete event simulation, and the results showed that the application of system dynamics to system structure could remarkably promote the strategic decision-making process and identify the system structure’s means of generating dynamic and complex behaviors over time. Jonathan Jingsheng SHI et al. believed that apart from supporting quantitative decision-making by integrating useful data from multiple sources, the use of data could enable technology to provide timely historical data and screen out operational knowledge from it. Donald KENNEDY et al. proposed that a contradiction should exist between machine intelligence and human intelligence in the decision-making process; hence, a knowledge system is needed to provide reasonable guidance for human–computer interaction decision-making.
Editors: Xiaoyan Qiao; Yong Li; Huiwen Dong
At present, we face grave difficulties in achieving the goal of energy conservation and emission reduction. In China, energy consumption related to engineering construction accounts for more than 40% of the total social energy consumption, and this value is still increasing at a rate of one percentage point per year. According to the statistics of the Ministry of Construction, nearly 2 billion square meters of new housing are being built in urban and rural areas every year, and over 80% of such housing are high-energy buildings. Moreover, of the nearly 40 billion square meters of existing buildings, more than 95% are high-energy buildings. Without accelerating economic restructuring and changing growth patterns, resources will soon be unable to meet demands, environmental accommodation will become limited, and social tolerance will drop, ultimately causing the economic development to become unsustainable. Only by pursuing economical, clean, and safe development can we achieve sound and rapid economic development. Meanwhile, greenhouse gas emissions have caused global warming, which is a serious concern for the international community. Further strengthening energy conservation and emission reduction is also an urgent need to address global climate change.