A.G. Coombs Advisory
Building services design and operation – Evolution by natural selection driven by real-world data, a Darwinian model?
While there remain challenges in taking “BIM to FM”, useful digital information is starting to flow from design and construction into the operation and maintenance of facilities. And real-world operational information is flowing back, influencing design.
Methodologies are emerging to “identify, tag and drag” the information of value from BIM models and the various disparate data sets in design and construction into facility and building life-cycle management. Likewise, we are now seeing approaches that effectively structure and link these flows to the rapidly improving facility and asset management platforms that are already starting to use AI analytics methodologies.
Establishing practical and enduring asset benchmarking and conditioning monitoring frameworks is essential to enable these platforms to provide high-value insights for delivering high performing building services assets, better building environments, lower life-cycle costs and reduced environmental impacts.
These insights are being used to influence facility design and the design of services systems and component selection.
Data is becoming a continuous system “deliverable”. We are moving away from the audit paradigm to a Darwinian model – facility evolution by natural selection, driven by real world data.
Smith describes these emerging frameworks and methodologies, offers case study examples to showcase how this is rolling out now, how the technology is converging, and beginning to influence how we think about designing, constructing, operating and maintaining facilities and their building services systems.
Smith is an Automation Specialist Engineer with more than 30 years’ experience in commercial and industrial automation and controls. His extensive experience with outcome-based building controls and knowledge of building systems operation and maintenance provides a strong platform for optimising building systems.