In order to respond appropriately to any situation, having the right knowledge at the right time is crucial. At Sitech Data Monitoring, we collect and analyse data and generate information from it. Using our expertise combined with artificial intelligence, we are able to predict given situations and prevent them from arising in the future. Our integrated approach is regarded as revolutionary for the process industry.
At our Sitech Asset Health Center (SAHC), our engineers monitor items of equipment and analyse Plant and Process information. We are currently monitoring over 500 items of equipment in real time.
At Sitech Solutions, we believe that prevention is better than cure – which is why we opened the Sitech Asset Health Center back in 2013, with the aim of using and combining as much data as possible in order to provide reliable predictive maintenance.
During the successful pilot phase, a digital model of a filter was even able to predict an impending defect six days in advance. This marked a major breakthrough, since such levels of forewarning present significant benefits, such as being able to temporarily shut down and then restart an installation more quickly, or deploy engineers during the day.
Based on the pilot, dozens of items of equipment have already been digitized in quick time. The goal is to roll this out in at least 5000 items of equipment over the next three years, at Chemelot and elsewhere. To ascertain whether predictive maintenance is profitable, we need to make sure we have all the necessary data. Since old sensors are not able to provide this, additional data is usually needed. We are also working on a customized IT platform based entirely on predictive maintenance.