Honeywell Launches Building Controls Technology in Conjunction With Two Major Companies

Jan. 24, 2024
Honeywell’s Advance Control for Buildings utilizes some of the latest technology for building management.

Honeywell recently launched its Advance Control for Buildings platform, which the company considers one of its biggest leaps in building controls.

Advance Control is made to automate building management and provides the foundation for a building’s energy efficiency strategy through a combination of the most recent technologies with “decades of innovation and domain expertise”. Automation and machine learning (ML) are at the forefront of the streamlined operation system that features built-in cybersecurity and technology to deliver faster network speeds. The company prides itself on the system being an industry first in that it utilizes existing wiring.

As part of the launch, Honeywell also announced partnerships with two semiconductor companies, NXP Semiconductors N.V. and Analog Devices, Inc. to efficiently transition to intelligent edge processing. “With NXP, Honeywell seeks to elevate machine learning and autonomous decision-making for enhanced energy management and convenience, as well as enhanced security within and beyond the building. The joint efforts with ADI aim to deliver more efficiency and increased intelligence through digital connectivity and advanced signal conversion across many industrial applications.”

Diarmuid McSwiney, Managing Director, Industrial Connectivity and Control at ADI commented, “Our single-pair Ethernet (T1L) enables the possibility of reusing a building’s existing wiring, helping to reduce installation time, cost, and waste. ADI is pleased to work with Honeywell to bring this new technology to building management systems for the first time in Advance Control for Buildings.”

Rafael Sotomayor, Executive Vice President and General Manager, Secure Connected Edge, NXP Semiconductors, stated, ““Honeywell’s Advance Control for Buildings platform leverages NXP processors that efficiently combine machine learning with advanced security technologies to protect sensitive building automation infrastructure.”

About the Author

Serena Aburahma | Associate Editor

Serena Aburahma is a recent graduate from California State University, Northridge receiving a B.A. in Honor's English Literature. Serena has several years of writing and SEO experience, which include creating a variety of content ranging from cars and insurance to video games and pop culture. Much like the content Serena's written about, her interests vary as well, from writing poetry and stories and advocating for mental health, to playing video games, traveling, and reading.

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