Integral System at SIDO 2023, predictive maintenance and energy monitoring

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Presentation of our predictive maintenance solution


For its second consecutive participation at SIDO Lyon, Integral System highlights its industrial predictive maintenance solution.
Discover our predictive maintenance solution

Objectives and strategy of the predictive maintenance solution

The goal of this solution is to minimize maintenance costs and unexpected production downtimes.

The strategy is to anticipate failures and alert maintenance teams in advance by analyzing machine data.

Our solution is installed on rotating machines (motors, pumps, compressors...) and allows for anticipating failures. Thanks to our vibration sensor, we collect data wirelessly via LoRaWan. 
Everything you need to know about LoRaWan

Implementation of the predictive maintenance solution

For the event, the teams at integral System developed a live demonstration of the solution with an electric motor, the associated vibration sensor, and the LoRaWan gateway.
Image of the Integral System booth at the SIDO 2023 exhibition
The sensor data is sent to the gateway via LoRaWan, which in turn sends it to the predictive maintenance software, PHM. 

PHM is a SaaS software (also installable locally) that contains an  artificial intelligence algorithm that calculates a health score as well as a 7-day rolling prediction of the engine's health. 

The results are then displayed on the dashboard (see photo above). Alerts (emails, WhatsApp, notifications, etc...) are also configured to notify maintenance personnel when the engine has a fault.
Image of the integral system's live demo at SIDO 2023

Our energy monitoring solution


Thanks to its partner TCT (Tores Composants Technologies), Integral System has also been able to develop an energy monitoring solution based on LoRaWan wireless technology.
Discover our energy monitoring solution

Objectives and strategy of our energy monitoring solution

The goal of the energy monitoring solution is to reduce the electrical consumption of industrial users.

To achieve this, the strategy is to map the overall consumption by devices by identifying energy-intensive equipment.

The industrial user also obtains the operating time of the machines and can focus their optimization efforts on the most critical points of their installations.

Setting up our energy monitoring solution

Zoom on the energy sensor installed on the demo
In the previous photo, we can see the e-green Sensor installed on an isolated phase that powers the demonstration motor.

This sensor allows for the autonomous retrieval of current intensity (without batteries), as it is self-powered by the induced energy from the phase on which it is installed. The opening toroidal system of the sensor allows for its installation in a non-intrusive and non-destructive manner, without shutting down the equipment.

Finally, the sensor sends its data to the gateway via LoRaWan, which in turn sends the data to the cloud storage software, Wise-IoT. Wise-IoT allows for data storage and online calculations to obtain the following key performance indicators:
- Energy Consumption
- Operating Time

Additionally, the software allows for the display of consumption data history, and the sensor also includes an external temperature probe (type K) that measures the surface temperature.
Illustration of the energy monitoring solution dashboard
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Motor maintenance

Anticipate! Predicting a motor failure is possible.

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Consumption monitoring

Easily monitor equipment and installation's energy consumption.

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