Facilities teams often work across separate building-management screens, equipment panels, meter portals and maintenance records. Connecting that information can make it easier to understand how heating, ventilation and air-conditioning (HVAC), building usage, energy demand and equipment events relate to one another.
Skymics develops connected building solutions around those operational needs, combining IoT integration and AI analytics without assuming that every building needs a replacement management system.
Connect the systems that matter
Start by mapping the existing building-management platform, equipment, sensors and interfaces. Reuse available data and assess additional sensors, LoRaWAN networks or edge gateways where they address a defined gap. Industrial protocol bridging and telemetry or SCADA integration depend on compatibility, timing and the site’s operating requirements.
Bring together relevant HVAC run states, temperatures, setpoints, energy readings and alarms. Where appropriate, use aggregate occupancy information or agreed schedules to interpret building use. Organise the monitoring view around the people responsible for responding.
Investigate patterns, not isolated alarms
Connected data can help facilities teams examine:
- HVAC operation outside expected schedules;
- unusual temperature response or equipment runtime;
- recurring energy demand associated with particular systems;
- differences between occupied and unoccupied periods; and
- trends that warrant inspection or maintenance.
For example, repeated cooling operation in an unoccupied area can prompt a schedule and sensor check. Several causes may produce the same pattern, so an alert should guide inspection rather than declare a fault automatically.
Use AI to support maintenance and energy decisions
Predictive analytics and anomaly detection can compare current behaviour with an expected pattern. A maintenance use case might examine changing equipment trends; an energy use case might forecast demand using operating schedules and relevant conditions. Evaluate the model against site data and review false alerts before wider use.
For an agreed equipment-inspection requirement, industrial computer vision can also be evaluated. Suitable edge hardware can analyse sensor or image data close to its source, with processing, access and retention needs defined for the project.
A retrieval-augmented generation (RAG) assistant is another scoped option: it can retrieve relevant passages from approved manuals and maintenance records to support source-linked answers. Responses require human checking and do not authorise equipment changes.
Keep operators in control
Define who can view data, acknowledge alerts and approve actions. Collect only the occupancy or image data needed for the agreed purpose. Keep existing safety systems independent; changes to HVAC or other controls require separate approval, operating limits, manual override and testing.
Discuss a building-management requirement
Tell us about your building, current management system, equipment, available interfaces and maintenance workflow. Begin with the conditions that are hardest for your team to see today.
