Fighting data noise in industrial production – with fully configurable digital twin
Genius Core, provides industrial manufacturers and process-focused industries with a fully configurable digital twin of their facilities, giving complete, real-time visibility over maintenance needs, safety, and operational efficiency from anywhere in the world. Process Genius says Genius Core tackles the critical issue of digital noise in industrial processes, where hundreds of systems and sensors combine, making it extremely difficult to keep track of deviations in processes, maintenance, safety alerts, and malfunctions. The platform centralises all data from equipment in a 3D visualisation on both overview and facility levels, and all critical information can be accessed in real-time. Operators can also set up their digital twin without external help from external consultants. Data noise is one of the critical obstacles to industrial efficiency. A single facility produces thousands of data points to multiple systems from equipment every minute, which is often only accessible in one of the systems in use or Excel spreadsheets. As such, facility managers and process engineers waste significant amounts of time looking for the data they need or, in the worst case, overlook critical failures or maintenance needs because they are not made aware of critical information. When operating multiple facilities, this problem increases substantially. Genius Core removes these hurdles that cause decision-making delays. The modern industry operator doesn’t lack data. Industry 4.0 has seen a vast array of sensors and software that has made available any data imaginable from each piece of equipment in the facility. Their issue now is how to put this data to good use. With hundreds of systems and thousands of data points, the challenge is understanding the data and making the right decisions. With Genius Core, they can finally stop doing unnecessary and time-consuming detective work and focus on making those decisions. Industrial production largely depends on consistent facility uptime, and […]