The Integration of Automation, AI, and Sustainable Technologies in Civil Engineering

Bhabashankar Sahu

Abstract: The progression of civil engineering is increasingly linked to developments in automation, artificial intelligence (AI), and sustainable technology. The study evaluates the integration of advanced innovations, including IoT-enabled systems, AI-driven automation, and 3D printing, into civil engineering, drawing inspiration from several disciplines, especially agriculture. This study looks at how technologies like self-driving cars, real-time monitoring systems, and renewable energy sources could be used in precision farming. It focuses on how they can be used to make the best use of resources, make infrastructure more resilient, and lessen the damage they do to the environment in civil engineering. Principal themes include technological innovations, AI-driven predictive maintenance, and interdisciplinary approaches for sustainable urban development. Moreover, ideas from sustainable practices, such as membrane technology for wastewater treatment and the integration of renewable energy, highlight solutions for reducing ecological footprints. This analysis highlights problems like scalability, adaptability, and ethical considerations while articulating a vision for the future of civil engineering influenced by technological convergence and sustainability. Utilizing these advances, the civil engineering sector can tackle significant issues, developing efficient, adaptive, and ecologically sustainable infrastructure systems.

Keywords: Sustainability, Infrastructure, Adaptation, Ecological footprints, Technological convergence, Civil engineering