Ever wish you could predict future failures? Leveraging hardware, software and data analysis to monitor critical parameters, IoT detects issues before they escalate, ensuring smooth operations and enhanced efficiency. This proactive approach optimizes performance, minimizes downtime, and prevents costly breakdowns so maintenance teams are always in the right place at the right time.

Predictive Maintenance reduces energy consumption and operational costs by keeping systems like HVAC and lighting running at peak performance. Automated scheduling triggers maintenance only when needed, minimizing disruptions. You can lower maintenance costs by 15%+, cut downtime by 25%+, reduce breakdowns by 25%+, and boost productivity by 35%+ and achieve an ROI of 181%+.

IoT sensors enable early detection of potential faults, alerting facility and asset managers to hidden issues before they become major problems. This proactive approach ensures timely maintenance, preventing costly repairs.

Failure detection sensors identify faults and disable machinery to prevent widespread damage. This safeguards the facility and its occupants, reducing downtime and preventing potential injuries.

IoT technologies detect structural damage by measuring strain and cracks, helping ensure building safety and asset longevity by addressing issues before they escalate.

is activated upon the occurrence of a fault, has no immediate costs as long as trouble does not occur, but in the equipment's lifetime it costs the most in terms of service interruptions and reduced lifespan. To decrease repair times, it is necessary to keep a stock of spare parts that have not been used for a long time.

is regular maintenance, carried out by scheduling the replacement of components subject to wear before they fail or break. Maintenance is scheduled when equipment is already down during the off season.

is carried out only when the condition of the component requires its replacement and for this reason, it’s also defined as “proactive”. It is made possible by IoT technology for the collection of data from the field and algorithms capable of deducing the degradation of a component.

Clarity’s advanced IoT hardware and software work together to solve any
building’s fault detection challenges.
Ventilation systems are crucial for maintaining air quality and preventing issues like dampness and mold in buildings. However, detecting issues such as reduced efficiency or malfunctions early can be challenging. Without real-time monitoring, problems like motor failure, clogged filters, or pressure imbalances can lead to costly repairs and energy inefficiencies.
Using IoT devices and advanced sensors, ventilation systems can be continuously monitored for optimal performance and early detection of malfunctions. Key metrics like delta pressure (internal vs. atmospheric), motor performance, and filter conditions are tracked. The system can predict failures and identify recurring issues, sending alerts for problems such as motor failure, clogged filters, belt malfunctions, or faulty pressure switches, enabling immediate action.
Maintaining optimal temperature levels in technical equipment and domestic hot water (DHW) networks systems is essential for both safety and efficiency. Improper temperature control can lead to health risks (such as legionella bacteria proliferation), energy wastage, and unnecessary wear on installations. Additionally, legal obligations around water temperatures need to be met to ensure compliance.
IoT temperature sensors are integrated into DHW networks and technical equipment to continuously monitor and record temperatures. This data is used to optimize the system’s performance, maintain hygiene standards, and improve efficiency. Alerts are triggered when temperatures deviate from the ideal range, ensuring that corrective action can be taken quickly.
In addition to detecting temperature changes, IoT devices allow remote control of equipment. For example, you might set the temperature in server rooms to maintain a consistent range (e.g., 18°C to 22°C) to prevent damage to electronic equipment. In case of deviation, the system can automatically adjust or you can do so remotely.