Condition-based service concept for larger ventilation systems based on IoT operating and energy data
The project is developing a new service concept for operational and maintenance monitoring. Via IoT monitoring, the company's own service organization or a service company receives online operating and energy data for the individual ventilation systems, thus changing time-based maintenance to state-based maintenance.
Through IoT and continuous monitoring of the ventilation system's components and energy consumption, it is possible to ensure stable and energy-efficient operation of the ventilation plants to a greater degree than now. It will be, for example, allow the service technician to be notified in due time before changing filters based on a calculation of residual life based on current pressure losses, as well as information about the future need for filters for the given plant will be able to access the filter supplier so that the filters are delivered to the point of delivery in due time. Corresponding possibilities will be present for the other plant components such as blowers, belts, bearings, pumps and valves.
The project develops, tests, demonstrates and evaluates IoT based operational monitoring as part of a resource-saving service concept for existing and new ventilation systems. Including a diagnostic tool that online provides the company and service technician with reports of irregularities, and the likely cause, as well as suggestions for action that optimize plant operations to simplify and optimize the service process.
The project has developed a new service concept for operational and maintenance monitoring. Through IoT monitoring, the company's own service organization or a service company receives online operating and energy data for the individual ventilation systems, thus changing time-based maintenance to state-based maintenance.
Through IoT and continuous monitoring of the ventilation system's components and energy con-sumption, it is possible to ensure stable and energy-efficient operation of the ventilation plants to a greater degree than now. It will be, for example, allow the service technician to be notified in due time before changing filters based on a calculation of residual life based on current pres-sure losses. Corresponding possibilities will be present for the other plant components such as blowers, belts, bearings, pumps and valves.
The concept includes a diagnostic tool that online provides the company and service technician with reports of irregularities, and the likely cause, as well as suggestions for action that optimize plant operations to simplify and optimize the service process.
The project has developed, tested and demonstrated at existing CAV and VAV ventilation sys-tems.
In future the IoT based operational monitoring concept can be used for energy efficient, and cost and resource saving service for ventilation systems.
Key figures
Category
Participants
Partner | Subsidy | Auto financing |
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IBM Danmark ApS | ||
JT3 Klima A/S | ||
IDA Mødecenter A/S | ||
DEAS |