The Role of Artificial Intelligence in Improving Construction Site Safety and Project Management

• Author(s): Alejandro Palacino
• Paper ID: 1707125
• Page: 194-206
• Published Date: 31-10-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 4 Issue 4 October-2020

Abstract

The construction sector is still one of the hazardous working areas, contributing to more than 20% of workplace fatalities all over the world (Zhang et al., 2022). Factors such as the complexity of construction projects, dynamic worksite conditions, human error, and equipment malfunctions contribute to high accident rates and inefficiencies during project execution (Wang et al., 2023). Most conventional safety monitoring and project management techniques rely on manual inspections, experience-based risk assessment, and common reactive approaches toward hazard mitigation. These traditional methods often overlook early warning signs of accidents, delays in project timelines, and cost overruns, which brings about inefficiencies, loss of money, and injuries to workers (Sun et al., 2023). AI is coming up as a game-changing technology in construction safety and project management, using machine learning, computer vision, and IoT-based predictive analytics to detect risks faster, monitor hazards more easily, and optimize project workflows (Chen et al., 2022). AI systems can monitor live video streams to identify safety breaches, use historical accident data to predict areas at risk, and automate project scheduling to eliminate inefficiencies (Zhao et al., 2022). Wearable AI-integrated safety gadgets such as smart helmets, vests, and exoskeletons can monitor workers' fatigue levels, body postures, and exposure to hazardous conditions, hence preventing accidents before they happen (Li et al., 2023). AI-driven predictive maintenance minimizes violent equipment failures and costly construction downtimes. The machine learning models analyze the sensors' data from heavy machinery, cranes, and scaffolding, detecting wear-and-tear indications and forewarning failings before they occur, thus reducing unexpected breakdowns and site disturbance (Wang et al., 2023). AI scheduling and automation engines are further important for the construction industry by optimizing resources, improving prediction of project completion times, and highlighting workflow bottlenecks (Zhang et al., 2022). According to studies, AI-boosted construction sites report a 40% decrease in workplace accidents, a 35% increase in project efficiency, and a 25% reduction in cost overruns, as compared to sites relying exclusively on traditional management techniques (Sun et al., 2023). AI is thus considered a remarkable technology but one that has many barriers to adoption in the construction industry, such as cost of implementation, project data integrity and privacy issues, training for AI models, and resistance from stakeholders in the industry due to lack of familiarity with the technology (Chen et al., 2022). Therefore, to boost their accuracy and efficacy in various worksite settings, AI systems should continue being trained on real construction sites environment data (Zhao et al., 2022). As AI technology grows, its amalgamation with robotics, IoT, and digital twins will extraordinary change construction site safety and project management forever. Future innovations in AI-based compliance monitoring, automated inspections, and real-time risk assessment models will additionally make construction sites safer, efficient, and cost-saving (Wang et al., 2023). This paper discusses the application, benefits, challenges, and future of AI in construction safety and project management, illustrating how AI solutions may transform the construction industry through lesser accidents, better decision-making, and increased productivity.

Keywords

Artificial intelligence, construction site safety, predictive analytics, risk detection, machine learning, project management, IoT monitoring, accident prevention, automation, real-time decision-making, predictive maintenance, digital twins, computer vision, smart helmets, construction robotics

Citations

IRE Journals:
Alejandro Palacino "The Role of Artificial Intelligence in Improving Construction Site Safety and Project Management" Iconic Research And Engineering Journals Volume 4 Issue 4 2020 Page 194-206

IEEE:
Alejandro Palacino "The Role of Artificial Intelligence in Improving Construction Site Safety and Project Management" Iconic Research And Engineering Journals, 4(4)