IoT is a game changer for predictive maintenance.
Sources of savings and improvement through Smart IoT solutions are countless:
In most industrial activities, a failure of your rotating machines can generate significant production
losses or even stop production.
Instead of simply doing reactive or preventative maintenance on your machines, like water pumps,
diesel engines/motors or luggage sorters, you can now easily access to predictive maintenance,
saving money and improving overall productivity and efficiency.
Thanks to the end-to-end approach that we can now deliver, you can ensure real-time monitoring of
critical parameters for your machines such as vibration and surface temperature, and combine this
capability with smart calculation or algorithms to detect any anomaly or damage before it occurs (for
instance on pump’s bearings).
How can you concretely achieve this goal?
It’s very easy, just use the solution and components powered by CommonSense IoT Platform®
- Yokogawa SUSHI sensors are the perfect CommonSense-ready devices for this use case : they
are highly reliable industrial sensors relying on LoRAWAN connectivity, a secured low-power
and long range technology
- Network connectivity either:
- Through a LoRAWAN public network
- Through private connectivity directly integrated within CommonSense IoT Platform®
- CommonSense IoT Platform® for secured device management, alerting, real-time calculation
and workflows (through embedded programmable scripting capabilities)
- IoT APP STUDIO for advanced predictive maintenance dashboards and highly customizable
data visualization, fully accessible everywhere from your PC, your tablet or your smartphone
We can bring flexible and affordable industrial IoT solutions and can support you with a range of over
320 CommonSense-ready devices and 15+ integrated IoT technologies, including all key LPWAN
protocols (Sigfox, LoRAWAN, NB-IoT, LTE-M) or cellular technologies (2G-3G-4G-5G).
Challenge us now with your use case, submit it and we will help you build the complete end-to-end
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