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Construction Tech Review | Thursday, August 18, 2022
Intelligent, networked structures enable new modes of interaction with residents.
FREMONT, CA: Artificial intelligence (AI) is a necessary component of the future of buildings. With the adoption of smart technologies over the last decade, the introduction of AI will be unique to each building vertical. For example, while retail, hotel, healthcare, and office buildings developed their use cases for intelligent technology, their disparate needs created unique drivers and impediments resulting in innovative technology's staggering adoption across the building landscape.
Automated building systems have a unique perspective on space
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When combined with building systems and Internet of Things (IoT) devices, artificial intelligence (AI) can enhance occupant experience, increase operational efficiency, and maximize space and asset use.
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Using AI and IoT to optimise building performance
Buildings are evolving into something more than just walls, roofs, and stone. Building systems can now integrate the proliferation of data from IoT devices and occupant behaviour autonomously to apply to learn, enhance performance, and improve environmental efficiency, thanks to AI. A wealth of data from digital devices, beacons, and tweets provides insight into the operation, use, and condition from the building's infrastructure, physical environment, climate, water, and energy use, to the tenant experience and satisfaction.
The Internet of Things and platforms that incorporate AI and machine learning enables innovative new services for engaging building inhabitants. Through automation and optimization of operations, these technologies have the potential to cut costs significantly.
A holistic building optimization system takes into account all facets of building and facility management. These systems enable the monitoring of space and water use and the consumption and allocation of energy. Taking this monitoring further, data collected from IoT sensors coupled with business rules on building equipment can trigger algorithms that identify, predict, and respond to anomalies. Through predictive maintenance, these optimised ecosystems of building technologies find chances for efficiency control. They analyse potential root causes to prioritise, assign, monetize, and prevent activities. Recommendations displayed on dashboards or during modifications can be delivered straight to the IoT device.
Identifying opportunities through the use of analytics and artificial intelligence
Following the collection of equipment performance data via sensors and metres, a library of benchmark data is applied, analytics performed, and future operational improvements discovered. Many businesses are expanding their predictive analytics to AI or learning systems to automate insights into actions to improve assets via IoT.
Building owners may drastically reduce energy use and meet aggressive cost-cutting targets by leveraging advanced analytics and artificial intelligence. For instance, by merging heating and cooling data with micro-location forecasts from the Weather Company, an HVAC system may provide more efficient heating and cooling.
Additionally, analytics may be utilised to reduce energy waste by identifying inefficient energy use. Sensor-controlled systems can keep track of water dispensing and usage. By anticipating asset breakdown and leading early adjustments, cognitive maintenance systems can assist in maintaining the health of critical building equipment and assets.
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