Companies aiming to connect the operational technology (OT) of their production environment to their IT systems now have a new option from Mitsubishi Electric at their disposal. The edge computing solution MELIPC opens up optimisation potential through preventive condition monitoring (predictive maintenance) or quality assurance with real-time data evaluation and immediate feedback to the operator.
The MELIPC solution enables Increases in quality and productivity in sectors such as the automotive industry, food and beverages or life sciences. Here, the real-time process software provides local diagnostics, predictive feedback and visualisations for analysing the production environment.
Analysis algorithms for predictive maintenance and quality assurance are already integrated in the MELIPC series. In continuous production processes, this solution can both optimise processes and adapt them to variables.
Efficiency is maximised by the Creation of a real-time prediction model which can be updated and refined based on new requirements from the process. For example, packaging machines in the food and beverage industry can recognise and prevent errors, thereby improving quality.
The MELIPC solution recognises the Use of artificial intelligence (AI) detects anomalies in the machine status in real time. Detailed status information is reported back to the automation level so that machine operators can proactively carry out adjustment or maintenance measures at an early stage in order to maintain efficiency and increase availability. In addition, the Decentralised edge data processing Advantages in terms of data security and process integrity.
Also in Life science applications the MELIPC solution can be used to store and analyse sensitive data at OT level instead of sending it to the cloud. This also accelerates diagnostics to real-time speed while reducing the costs and requirements of the IT infrastructure.
Source: Mitsubishi Electric Europe B.V.
