Predictive Sensor System Can Save Industrial Equipment

By Ken Briodagh

IoT Evolution World reports on the many uses of DataArt’s DeviceHive, one of which is detecting potential failures in industrial equipment.

“DataArt is making some inroads in predictive prevention measures with a prototypical project using MS Build and Azure. The system, shown at work in the video below, is capable of predicting when industrial equipment is going to fail and letting companies solve the problem before it happens. DataArt is a consultancy on cloud, big data & IoT solutions and created the open-source DeviceHive, the first IoT & big data platform that makes different IoT standards talk to any app. For that project, DataArt partnered with Microsoft and Canonical, the company behind Ubuntu.

The solution is meant to work on a very simple principle: in the industrial world, lots of industrial equipment like pumps, actuators, fans and HVAC systems will start showing early signs of troubles by increasing the frequency or strength of vibrations. Now, equipment outage has to be avoided, so this system uses accelerometer-based sensors to create a vibration profile of the system, which can be captured by an on-premise gateway and analyzed in the Azure Cloud. Once the working profile is compiled, it can be used to detect malfunctioning equipment and trigger a maintenance alert, if needed. For this project, DataArt connected a sensor and Raspberry Pi to a fan to identify variances.”

View original article or download PDF