Building analytics platform Clockworks Analytics will leverage decade-plus of experience to steer industry toward data standardization and interoperability
SOMERVILLE, Mass.–(BUSINESS WIRE)–Clockworks Analytics, the world’s most widely utilized cloud-based building analytics company, today announced that it has joined Project Haystack, an open-source initiative to streamline data flow for buildings and IoT devices. As a member of Project Haystack, and as a continued participant in ASHRAE Standard 223P, Clockworks Analytics will share the metadata ontology and information model it has developed over the past decade, furthering the industry goal to standardize the way data is exchanged between building equipment and technology systems.
Over the past few years, physical assets and building automation systems—including control, energy, HVAC, lighting, and other environmental systems—have increased in complexity. As a result, the traditional method for data exchange, which has relied heavily on one-off mapping of data points and rule-writing, has become increasingly untenable. This, coupled with a desire to leverage the wealth of building data coming out of the growing proptech industry and smart building applications, has facilitated a movement toward a global standard for semantic building data.
For Clockworks Analytics, joining each of the open-source data interoperability communities underscores the company’s commitment to help the industry turn operational data into real-time insight for healthier buildings in a scalable way. Founded with the goal of leveraging technology to reduce building energy use, Clockworks has distinguished itself within the building analytics space, utilizing its powerful root-cause analysis to improve the reliability of building equipment while enhancing indoor air quality and reducing operational costs.
The Clockworks expert system utilizes a standardized information model for point typing, equipment and system relationships, and mechanical and controls sequence metadata; and is currently connected to more than 400 million square feet and over 280,000 mechanical assets in 30 countries. In joining Project Haystack, Clockworks will share its consistent approach to information modeling with the open-source community, with the goal of helping drive the industry toward a universal standard.
“We realized early on that we would need to build Clockworks in a way that is scalable—that could circumvent some of the issues surrounding data semantics and system interoperability that were already plaguing the industry even a decade ago,” said Clockworks Analytics Co-founder and CEO Nick Gayeski. “While dealing with myriad data streams from buildings across four continents, we have developed a dynamic information model that not only includes point types, but also equipment templates, inferred relationships, and calculated data. This allows the platform to scale across building, system and equipment types without any custom rule-writing to account for the thousands of nuanced scenarios that appear in all building portfolios.”
Gayeski added: “With several efforts toward data standardization currently underway—from a variety of government and nonprofit organizations—we’re proud to share our approach with these communities in service of the ultimate goal to lead the building industry toward a better, more connected future.”
About Clockworks Analytics
Clockworks Analytics (formerly “KGS Buildings”) is an essential smart building intelligence platform that provides data-driven insights into property operations for facility and energy managers. Through its “Clockworks” technology, which is the world’s most widely utilized, cloud-based building analytics software, the company proactively identifies inefficiencies and root causes within building systems and prioritizes the most urgent tasks for building staff in real time. By creating an unprecedented level of operational intelligence about a building, Clockworks helps property teams improve the reliability of their buildings’ equipment, while improving air quality and reducing operational costs. To learn more, visit www.clockworksanalytics.com
Antenna (for Clockworks Analytics)