Continuing with the theme from last month, this column presents another real-life example of how trend analysis, if done thoughtfully, can uncover wasted energy that no one even suspected.
Johnson Controls and Foxconn Industrial Internet (Fii) will collaborate to transform building data analytics through artificial intelligence and machine learning to advance smart building and smart-city technologies and achieve comfort, security and sustainability goals.
There are some building types and/or organizations that are nearly always undergoing some sort of facility upgrade, modification, and/or expansion to accommodate evolving needs.
Engineering departments in today’s health care environment are tasked with an ever-growing list of responsibilities, such as emergency readiness, PMs, reactive maintenance, ensuring regulatory compliance, managing infection control, maintaining life cycle budgets, managing utility spend, and the list goes on.
SMITHGROUP-AI would be an independent, multifunctional reinforcement learning software agent responsible for the monitoring and control of all agents that control all building systems.
Imagine a world where all HVAC equipment, (i.e chillers, variable frequency drives etc.), all BAS sensors, various components of the electrical systems (i.e electrical panels, meters, lighting fixtures etc.), and various components of all other infrastructure systems are connected to a shared, non-proprietary network that integrates the functionality of each system.
The idea for this month’s topic was hatched during a retro-commissioning project, but it offers lessons to be applied to new construction commissioning.
Much has been written about systems’ readiness for functional performance testing at the end of construction, and pre-functional checklists have become common elements of the commissioning process.