AUTOMATION IN CONSTRUCTION
Scope & Guideline
Advancing Automation for a Smarter, Greener Construction Landscape
Introduction
Aims and Scopes
- Automation and Robotics in Construction:
Research on the application of robotics and automation technologies in construction tasks, including robotic fabrication, autonomous vehicles, and intelligent construction machinery. - Digital Twins and Smart Construction:
Exploration of digital twin technology and smart construction practices that enhance real-time monitoring, predictive maintenance, and operational efficiency in construction projects. - BIM and Data Integration:
Studies on Building Information Modeling (BIM) and the integration of diverse data sources for improved decision-making, project management, and lifecycle analysis. - Machine Learning and AI Applications:
Research focused on the application of machine learning and artificial intelligence for predictive analytics, risk assessment, and automation of construction processes. - Sustainability and Resilience in Construction:
Investigations into sustainable construction practices, including the use of eco-friendly materials, energy efficiency, and resilience to environmental challenges. - Construction Safety and Ergonomics:
Research aimed at improving safety standards and ergonomic practices in construction through innovative monitoring techniques and safety protocols.
Trending and Emerging
- AI and Machine Learning Integration:
There is a surge in research exploring AI and machine learning applications in construction, particularly for predictive maintenance, safety monitoring, and project optimization. - Robotics and Automation Technologies:
The development and application of robotics in construction tasks, including fabrication and site management, are rapidly expanding, with numerous studies highlighting advancements. - Digital Twins and Smart Infrastructure:
Increasing emphasis on digital twins for real-time monitoring and management of construction projects, enabling better decision-making and enhanced operational efficiency. - Sustainable Construction Practices:
A growing trend towards sustainability in construction, focusing on eco-friendly materials, energy-efficient designs, and practices that minimize environmental impact. - Data-Driven Decision-Making:
Research on the utilization of big data and IoT technologies for improved decision-making processes in construction projects is becoming increasingly prominent. - Augmented and Virtual Reality Applications:
The use of AR and VR technologies for training, design visualization, and construction site management is gaining momentum, reflecting a shift towards immersive technologies.
Declining or Waning
- Traditional Construction Methods:
There is a noticeable decrease in research focused on conventional construction techniques as the field shifts towards automation and advanced technologies. - Manual Inspection and Assessment Techniques:
Research on manual inspection methods for structural health monitoring has waned as automated and AI-driven techniques gain preference. - Low-tech Construction Practices:
Studies centered around low-tech or non-digital practices in construction are becoming less frequent, reflecting the industry's transition to digital solutions. - General Construction Management Frameworks:
The focus on broad, generalized construction management theories has diminished in favor of more specialized, technology-driven approaches.
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