Collects data from battery-powered sensing devices, uses multiple connectivity technologies to transfer data to the cloud
Industrial IoT platform for injection molding machines: from sensor data to intelligent insights
T&M (time and materials)
Krammer Technology addressed Softeq to test the feasibility of their idea, choose the optimum technology stack, and outline the scope of work. Therefore, we began the project with an Analysis Phase.
A market-ready solution is supposed to:
Following the Business Analysis phase, we have made the following assumptions:
As a first step, the Softeq hardware team will create custom ISDs and conduct field tests to make sure the data is produced in a format suitable for further Machine Learning-assisted analysis. The results will help developers refine the requirements for the sensing devices. Next, we will integrate ISDs with the AWS cloud services.
The solution will help manufacturing companies lower equipment maintenance costs, prevent downtime, and reduce plastic waste. Besides costly wired molding equipment monitoring solutions produced by KISTLER and WITTMANN, there are no alternatives to the Krammer Technology system available on the market.