Aquicore, a commercial real estate software company with an all-in-one operations platform, announced today the release of “Automatic Diagnostics,” a new machine learning tool heralding the next generation of fault detection diagnostics available through its comprehensive building performance optimization platform. Built from decades of crowdsourced knowledge consisting of the most important issues and optimizations buildings of all sizes run across, the intuitive platform accurately identifies potential problems in buildings’ operation systems that would normally go unnoticed. Automatic Diagnostics presents potential issues in a meaningful way such that time-crunched building engineers and property managers can take action, resulting in lower operational costs, increased energy efficiency and a boost in overall asset value and performance across a portfolio.
Fully integrated with Aquicore’s cloud-based, IoT-driven platform, Automatic Diagnostics is Aquicore’s machine-learning feature that detects usage anomalies from a building’s energy curve and alerts the appropriate building staff in real time. For building engineers, the tool identifies possible issues that could impact building operations, such as late shutdowns or equipment cycling overnight, which are often overlooked without quarterly or weekly human-intensive energy reviews. Once a problem is accurately identified, Automatic Diagnostics calculates the potential costs associated with the problem and sends a financial impact report to property managers and owners enabling them to make faster, more informed decisions.
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