How to Test Your Building’s Artificial Intelligence IQ
Samsung Business Economist reports that $1.7 billion has been invested in artificial intelligence (AI) for smart buildings since 2010. Businesses have invested over $273 million in deep structured learning for implementation in smart building applications alone. This deep learning is a component of artificial intelligence that imitates human brain activity.
Understanding Integrated Facilities
Intelligent buildings function effectively since they work like the central nervous system in the human body. This intricate information network uses deep learning techniques to operate building systems and execute changes as necessary to ensure optimized functioning for energy efficiency and occupant comfort. Real-time data is collected and evaluated in the centralized system to manage operating systems like HVAC, lighting, security, and fire alarms. Advanced building management systems connect to the internet to enable management through remote control access. This is a beneficial feature for management to have remote access to manage operational systems.
Testing Your Building’s AI IQ
Smart buildings have building management systems that fully integrate the four elements of structure, systems, services, and management. The building automation system (BAS) uses advanced computer software that enables automated computer-based management of the building’s operational systems. You can test your building’s AI IQ based upon how well your facility rates in the operational functioning regarding the four elements, and the following intelligent technology components.
Automation and Sensor Technology
Artificial intelligence enables automated processes to be used in a smart building to monitor and manage structural operational systems like lighting, HVAC, and security. Autonomous technology ensures that your smart building will continue to operate every minute of the day with the goal of energy efficiency in mind. With sensor technology, data is collected and analyzed according to modifiable parameters that can be changed depending upon company specific needs.
Real-Time Data and Connected Infrastructure
Real-time data for temperature, humidity, and occupancy status is accumulated. With a connected infrastructure, the system uses advanced detection capabilities fused with the amalgamation of Big Data to efficiently operate various structural systems. Predictive modeling is used to understand the structural operations of the building as the autonomous system anticipates system glitches, and executes suggested changes, to achieve maximum energy efficiency. Operational systems are merged with IT networks to maximize performance value of the structure. Data visualization is an important part of the process where compiled information is translated into visual context for better understanding by the user.
Occupancy Comfort and Enhanced Interactions
State-of-the-art predictive modeling and real-time system operations through a centralized control platform effectively manage heating and cooling settings to create a superior occupant experience. Predictive analysis and deep learning can enhance the occupant experience through personalized scheduling, trip planning, and individualized anticipation of personal needs. Integrated smart phone systems and personalized online communication can make customer occupant experience better as they interact with employees. Security systems in smart buildings are augmented to create a safer experience for occupants in facility parking areas, lounges, and office space.
How well does your building score on the artificial intelligence IQ meter? Making the transition from a non-intelligent building to a smart facility managed through pioneering AI software can seem like a monumental task. However, the transformation will prove its worth when your building becomes more sustainable and achieves greater energy efficiency.
