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Artificial Intelligence in Smart Building and Construction 4.0:…
Artificial Intelligence in Smart Building and Construction 4.0: application and future trend
Research Question
What is the current application of AI in smart building and Construction 4.0?
What is the future trends of AI implementation?
Research Aim: By increasing the application of artificial intelligence to achieve its sustainable development in smart buildings and Construction 4.0.
Research Objectives
To assist construction companies to improve their ability to deploy information and communication technology to improve work efficiency
To provide a theoretical basis for improving the digital transformation of the entire construction industry
To confirm the key factors influence the implementation of AI in smart building and Construction 4.0
4.To explore the feasibility of using AI to ensure building safety
5.To provide governments with a roadmap for sustainable building and urban development
Initial Report ( Literature Review)
Read the articles about relevant technologies combined with AI implementation
Read the articles about the current application (in one specific country) and future trend
Find out the factors that influence the AI implementation and relationship between them
Research Methodology
Research Type
Deductive
Premise 1: Smart buildings require real-time monitoring and control systems to improve energy efficiency and occupant comfort.
Premise 2: AI can provide intelligent decision-making and optimization through learning and adaptive algorithms.
Combining premise 1 and premise 2, it can be concluded that the application of artificial intelligence in smart buildings can achieve the improvement of energy efficiency and user comfort.
Inductive
Based on the cases and studies of premise 3, it can be concluded that the application of artificial intelligence in smart buildings improves energy efficiency and user comfort.
Premise 3: Existing smart building application cases and studies show that artificial intelligence has the potential to improve the energy efficiency and environmental adaptability of buildings.
Research Philosophy:
Pragmatism
Research Strategy
Sample Strategy
Data Collection Method
Scope:
Review the literature
Determine the research objectives
Identify key research topics
Determine the research method
Determine the research object
Collection and data analysis
Discussion
Integrating aand Implementation stratergies
Find out the approaches for integrating AI Technoologies in to the infrastructure (cloud coomputing , edge computing ot any other)
Collaboration among stakeholders for successful implementation (discussion on such as building owners, developers, architects, Engineers, contractors, and facility managers
Future trends and opportunity
Discussing the Emerging trends in AI now a days
AI Application in smart buildings
Resource Management (discussion on optimising material, equipment and labor allocation)
Discussion oon predective maintenance (AI system will be used for early detection of faults and equipment failure)
Security systems
User Experience
Challenges and Limitations
Interoperability and system integration issues
Cybersecurity risk and privarcy concerns
Benefits and Advantages
Decesion making through data analysis