Senseye first provided its software to MindSphere users in June 2018, when it was made available as a complementary service that could be connected to the operating system. This new version of Senseye’s application was developed specifically for MindSphere and is hosted within the operating environment itself.
This development is intended to make it quicker and easier for MindSphere users to adopt Senseye’s automated predictive-maintenance product in their plants, and also to improve the immediate accuracy of its analysis by providing access to a wider range of historical data, according to Senseye.
“Our partnership with Siemens is fantastic for MindSphere users, helping enable them to
improve the effectiveness and efficiency of their maintenance activities by analysing data already captured by all modern Industry 4.0 assets," said Simon Kampa, CEO of Senseye. "Our vision for our partnership with Siemens is to provide all MindSphere users with immediate insight into the current and future health of their entire asset base at the touch of a button, with an ROI of less than three months.”
“By providing users with the opportunity to access Senseye as a native app in the MindSphere operating environment, we have reduced the manual processes involved in connecting data to the Senseye product. We are making it even quicker and easier for engineers to understand the health of their industrial assets and see precisely when those assets are most likely to fail, without any additional sensor or application investment.”
"Senseye is capable of delivering tremendous value to manufacturers and other industrial organisations through its predictive maintenance application," added Paul Kaeley, senior vice president, global partner ecosystem at Siemens PLM Software. "Senseye provides a compelling solution to MindSphere users who want to take full advantage of the industrial IoT data at their disposal and boost the insight available to their maintenance operations.”