An intelligent system that helps companies manage and predict maintenance and improve the performance of molding machines. It collects data from battery-powered sensing devices and uses multiple connectivity technologies to transfer data to the cloud.
Industrial IoT platform for injection molding machines: from sensor data to intelligent insights
Industrial Manufacturing
T&M (time and materials)
Agile
Our customer wanted to build an intelligent Industrial IoT solution that would allow them to:
The company addressed Softeq to test the feasibility of their idea, choose the technology stack, and outline the scope of work.
We began the project with a Business Analysis phase.
A market-ready solution would:
For the first phase, the system had to consist of three parts:
Following the Business Analysis phase, we have made the following assumptions:
As a first step, the Softeq hardware team will create a custom ISD sensor device. Then we'll 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 we proposed goes beyond a traditional monitoring system. It helps companies
improve their manufacturing process through:
Currently, there are no alternatives to the Krammer Technology system on the market. The
competing solutions with similar functionality are either wired or much more expensive.
