The integration of AI into building management systems is becoming crucial as the construction industry grapples with a shortage of skilled technicians. Johnson Controls is leading the charge, using connected systems to enhance productivity and reduce operational disruptions.
What Happened
Johnson Controls, a prominent player in the building systems industry, is turning to technology to mitigate the effects of a skilled labor shortage. Brandon Jackson, the company’s vice president of HVAC and controls in the Americas, highlights the role of integrated systems and AI in maximizing the efficiency of available technicians. By connecting HVAC and other building systems to online platforms, technicians gain remote visibility, allowing them to diagnose issues before arriving on-site. This capability is particularly beneficial as the industry faces a significant gap, with only two technicians available to replace every five who retire.
The company is addressing the talent pipeline challenge by investing in training facilities across the United States and collaborating with technical schools and community colleges on certification programs. Despite these efforts, technology remains a pivotal tool in enhancing technician productivity. For instance, data from connected systems enabled a facility to identify chemical water treatment issues in its cooling tower, avoiding unnecessary site visits and saving time and resources.
What This Means for Your Business
For businesses in the construction and facilities management sectors, the adoption of connected systems offers a competitive edge. By utilizing predictive failure diagnosis, facilities managers can address issues proactively, minimizing costly disruptions. Contractors and OEMs like Johnson Controls benefit from reduced on-site visits, optimizing technician deployment and enhancing service efficiency.
Moreover, the integration of AI and data analytics into building management systems aligns with cybersecurity best practices. Johnson Controls ensures data security by implementing one-way data flow systems, transmitting data over cellular rather than ethernet connections, thereby reducing the risk of breaches. As AI tools continue to evolve, they promise to further refine decision-making processes, although human oversight remains essential.
What US Operators Should Watch
Decision-makers should monitor advancements in AI-driven predictive maintenance technologies and consider integrating these systems to stay competitive. Additionally, staying informed about training opportunities and certification programs can help bridge the talent gap. Operators must also focus on cybersecurity measures, ensuring that new technologies comply with industry standards to protect sensitive data.
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Source: Facilities Dive. Read the original story ->
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