Building Controls AI
AI for building automation and control system design.
Definition
Building Controls AI assists in designing building automation systems (BAS) for HVAC, lighting, and other building systems. These systems can develop control sequences, specify sensors and actuators, and optimize building operations. AI controls design helps create smart buildings that operate efficiently and respond to occupant needs.
In Depth
Building controls design translates the mechanical engineer's design intent into the sequences of operation that the building automation system will execute. AI assists by generating control sequences from the system design, verifying that sequences achieve the intended performance, and optimizing the control parameters for energy efficiency.
Sequence of operations writing is a notoriously tedious task. For each air handling unit, the controls engineer must specify the startup sequence, the occupied mode operation, the unoccupied setback, the economizer control, the heating and cooling staging, the safeties, and the alarm conditions. AI generates these sequences from the mechanical system design and the project's operational requirements, producing narrative sequences that the controls contractor uses to program the BAS.
Examples
Developing HVAC control sequences
Specifying sensor and actuator systems
Optimizing building energy operations
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Building Controls AI assists in designing building automation systems (BAS) for HVAC, lighting, and other building systems. These systems can develop control sequences, specify sensors and actuators, and optimize building operations. AI controls design helps create smart buildings that operate efficiently and respond to occupant needs.
Developing HVAC control sequences. Specifying sensor and actuator systems. Optimizing building energy operations.
Project Research: Instantly access all project-critical information from a single search interface.