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Digital Sustainability to Drive Adoption of Building Information Modelling (BIM) and Digital Twin Solutions in the Built Environment

Digital Sustainability to Drive Adoption of Building Information Modelling BIM and Digital Twin Solutions in the Built Environment

Published on : Nov-2022


Digital representation of functional and physical characteristics of a facility is known as Building Information Modelling (BIM). BIM is a 3D model-based process that gives professionals belonging to engineering, architecture, and construction (AEC) tools and insight to design, efficiently plan, manage and construct buildings and infrastructure. A Digital twin solution is a virtual model of a product, process, or service. The combination of the physical and virtual worlds allows us to analyze data and monitor systems to resolve problems before they even occur, develop new opportunities, prevent downtime, and plan the future with the help of simulations. Digital twin bridges the gap between physical and digital work.

Building information modeling (BIM) manages and produces digital models, digital twins hold BIM data in conjunction with sensor networks and building automation systems to accommodate a whole building together in a single place creating a constantly collaborative version and evolving physical twin.

Artificial Intelligence enhances efficiency and sustainability

Artificial Intelligence assists in designing the most efficient and environmentally sustainable construction model. With the help of artificial intelligence buildings can be processed in BIM and cross information with temperatures, weather conditions, sunlight, etc. and develop a completely sustainable design through knowledge and information sharing. This enables and provides the best possible orientation for a building and provides the basis for why a building is placed at a certain position unlike the traditional method of generating multiple reports proving the same thing.

Challenges to deliver successful projects with tight budgets, accelerated schedules, limited manpower, and conflicted/limited information could be resolved with the help of artificial intelligence technology and thus, drive the adoption of BIM and digital twin solutions for built environments. Additionally, BIM aids in identifying the exact location of discrepancies and collision detection by coordinating significant disciplines such as structural, architectural, and MEP designs.

Internet of Things (IoT): More efficient processes

IoT delivers significant cost and time savings and is becoming more affordable to small and medium-sized businesses since it is not a stand-alone internet and channels mission-critical data from one end of the operation to the other. IoT ensures sustainability as it optimizes the performance of a building’s physical environmental controls through Smart HVAC systems, also, turn on and off according to interface and occupancy with the company or personal schedules. Enables preventive maintenance of older manufacturing equipment through sensors by monitoring unusual vibration and temperature.

The United States followed by China, Japan, Germany, the Republic of Korea, France, and the United Kingdom are the top seven countries account for nearly 75% of spending on IoT worldwide, the first two countries represent 50% of global spending.

Source: The United Nations Conference on Trade and Development 

Fatpos global predicts that digital sustainability would drive the adoption of Building Information Modelling (BIM) and Digital Twin Solutions in the Built Environment with the deployment of artificial intelligence and IoT technologies that would enhance the efficiency of the processes and lead to environmental sustainability in the future.

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