The data can be easily analyzed: MindSphere offers users tools for data analysis such as the MindApp Manage MyMachines application, which Calvatis also uses for analyzing dosing information. It analyzes incoming data and in addition to online monitoring of machines installed worldwide, also enables new functions such as predictive maintenance, energy data optimization, and resource management.
Thanks to MindSphere, Siemens and Calvatis were able to implement the cloud project in record time: It took less than three months from the first meeting with the company until the new solution was first used. “In the meantime, we and the employees at our customer site have an up-to-date overview of all data at all times,” says Schäfers. “Via online access, we can use the MindApp Manage MyMachines to review how high chemicals consumption is, what the plant temperature is, and the current conductibility of the water and detergent mixture. Our customer uses the data intensively: It has become a key tool for identifying faults and for planning the work of service technicians.”
By using MindSphere, Calvatis will also be able to monitor automatic cleaning systems and foam cleaning devices in the future. And by relying on data in the cloud, the service team can organize its work more effectively – because technicians can already see in advance what problems are occurring in the plant.
A new three-level service model is also in the pipeline: With the basic variant, Calvatis customers only obtains raw data. The advanced version allows limited access to the cloud, and with the professional version customers can initiate analyses themselves. “The response from our customers is very good,” says Schäfers. “In particular among customers that operate globally and have plants all across the world, we are seeing substantial interest in solutions like this one.”