HITEK AI, a company within the Farnek group, has introduced its latest innovative solution, the Predictive Maintenance and Anomaly Detection System, now integrated into its CAFMTEK platform. This advanced AI-driven tool aims to enhance the operational efficiency and reliability of mechanical, electrical, and plumbing (MEP) assets, including HVAC and Main Distribution Board (MDB) systems.

The Managing Director of HITEK AI, Javeria Aijaz, stated that adopting this system allows businesses to shift their maintenance strategies from reactive to predictive. This shift equips professionals with essential tools to minimize breakdowns, optimize operations, improve resident comfort, and achieve more cost-effective outcomes.

Using machine learning models, the system predicts potential failures and detects anomalies, providing actionable insights that enable predictive maintenance. It focuses on critical metrics specific to each asset type, allowing facility managers to gain clarity and control over building operations. For HVAC systems, the platform analyzes real-time data such as supply temperature and supply fan data to foresee potential failures and sends early alerts when failure probability scores exceed set thresholds.

For MDB assets, the system compares real-time data on metrics like total kWh, power factor, voltage, and current against dynamic thresholds established from historical data. Alerts highlight specific metrics responsible for anomalies, facilitating quicker and more precise diagnostics. Additionally, monthly energy consumption trends are reviewed to identify inefficiencies or unexpected performance changes.

The system also features a customized Preventive Planned Maintenance (PPM) strategy, which analyzes failure histories and patterns to recommend maintenance cycles tailored to equipment performance. These recommendations range from monthly schedules for frequent issues to annual checks for less common failures. Aijaz emphasized that this approach significantly reduces unexpected failures and extends the lifespan of critical assets.

The machine learning models within the system continuously adapt, integrating new data to refine prediction accuracy and optimize dynamic thresholds. Each incident contributes to future updates, ensuring the tool remains responsive to evolving operational demands. Aijaz remarked that with the Predictive Maintenance and Anomaly Detection System, CAFMTEK is revolutionizing facility management for HVAC and MDB assets by merging data-driven insights with AI to reduce downtime and maximize performance.

HITEK Services, part of the Farnek Group, boasts over 40 years of expertise in Facilities Management, Hospitality, and Technology Infrastructure. Their extensive range of intelligent applications is designed to empower clients through digital transformation and enhance operational sustainability. Organizations interested in leveraging digitalization in their operations can reach out to HITEK Services at info@hitek.ai.