Farnek Services subsidiary HITEK AI has added a Predictive Maintenance and Anomaly Detection System to its CAFMTEK computer-aided facilities management platform.
The AI-driven tool empowers facilities managers, engineers and maintenance professionals by enhancing the operational efficiency and reliability of MEP assets including HVAC and main distribution board (MDB) assets.
By ensuring maintenance is based on actual asset conditions rather than rigid schedules, organisations benefit from cost savings, improved performance, and operational stability.
By leveraging machine learning models, the system predicts potential failures, detects anomalies, and provides actionable insights that enable predictive maintenance. It focuses on critical metrics unique to each asset type, providing facility managers with clarity and control over building operations.
For HVAC, the platform analyses supply temperature and supply fan data in real-time to anticipate potential failures. It also provides early alerts when failure probability scores trigger alerts when thresholds are breached, enabling timely intervention.
Maintenance managers responsible for MDB assets benefit from real-time metrics, with the platform comparing kWh, power factor, voltage, and current data against dynamic thresholds which are derived from historic building data.
In addition, alerts highlight specific metrics causing anomalies, aiding faster and more accurate diagnostics. And monthly energy consumption trends are evaluated, revealing inefficiencies or unexpected changes in performance.
The system additionally supports tailored Preventive Planned Maintenance (PPM) strategies by analysing failure histories and patterns, and recommends maintenance cycles based on equipment performance – from monthly schedules for frequent issues to annual checks for occasional or ad-hoc failures.
“By adopting CAFMTEK’s Predictive Maintenance and Anomaly Detection System, businesses can transform their maintenance strategies from reactive to predictive. This innovative approach empowers professionals with the tools needed to reduce breakdowns, optimise operations, increase residents’ comfort and drive cost-effective results,” Javeria Aijaz, Managing Director of UAE-based HITEK AI, tells FM Magazine. “This comprehensive approach significantly reduces unexpected failures while increasing the longevity of critical assets. By ensuring maintenance is based on actual asset conditions rather than rigid schedules, organisations benefit from cost savings, improved performance, and operational stability.”
The solution’s machine learning models continually adapt continuously by incorporating new data to improve prediction accuracy and optimise dynamic thresholds. Each incident informs future updates, ensuring the tool evolves alongside changing operational demands.
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