This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 790208 (SME Instrument – Phase 1)
Electric motors are keystones of a wide range of applications. They are pervasively used in the industry as:
- transport movers within factories and plants
- kinetic energy transformer in power plants
- system support (air compressors, water pumps and fans)
Despite their vital role in the industrial environment, their maintenance is not considered as the utmost importance. As long as they usually require lower maintenance compared to other mechanical machineries, they are almost forgotten. Instead of performing ordinary maintenance to them during the lifetime, employees rather prefer to run electric motors to failure. When failures occur, the motors are quickly replaced. The consequent production losses are then considered caused by a extraordinary condition.
Nowadays, ordinary maintenance give the way to predictive maintenance. Have you ever heard about predictive maintenance?
In NGS we see things differently. Imagine a system taking care of your machineries. It monitors and analyses their operating conditions. No matter where the motors are installed. This system would follow the machine lifetime, collecting data and retrieving information about current operative status. Collected information can be then aggregated in a control room, where operators oversee the plant behavior. Before a failure occurs , the system autonomously alerts the control room to require a motor reparation possibly reducing unplanned downtime risks.
This predictive monitoring system exists. It is called PlantOne developed by the New Generation Sensors S.r.l. (NGS). It can be described “in a nutshell” as an integrated wireless sensor network system for industrial and professional deployments. PlantOne involves pervasive, low-power sensor nodes to be deployed in industrial, outdoor and hazardous environment as well. These nodes can be battery powered for effortless installation and reduced maintenance.
Data samples from the sensor cloud are then collected and in-network aggregated to enable higher level inferences. The collection layer is part of PlantOne as well, where measures are abstracted as Web-oriented resources. Each resource can be handled by using the standard Internet protocols (e.g. Constrained Application Protocol, a.k.a CoAP) to enable Machine-2-Machine (M2M) transactions towards new generation wireless monitoring networks.
For further details please see our PlanOne presentation in the following link NGS-PlantOne.
Do not hesitate to contact us at email@example.com if you have any other questions!