Data acquisition Mitsubishi Electric’s latest MELIPC


Edge computing solution offers an ideal IT/OT merger that supports both on- and off-site data analytics functions. It features advanced analytical and artificial intelligence functionality to process data locally in real-time utilising shop floor know- how with diagnostics and predictive maintenance feedback. As a result, the device can drive a production system’s decisions based on key data. MELIPC also pre-processes and aggregates data for higher-level insights. Thanks to OPC UA standard connectivity, the information is then shared to different platforms to improve plant operations. A clear benefit of this hybrid


solution over conventional Cloud- based systems is a particularly secure as well as reliable connection and ecosystem. Highly regulated industries, such as the pharmaceutical sector, can therefore be included in


the benefit of innovative data mining capabilities while still meeting regulatory compliance.


On-bOard with iiOt cOntrOllers


The future of manufacturing is here – and it is based on an interconnected IIoT framework. Key technology solutions to realise this are already at hand. By setting up an IIoT system that leverages advanced controllers and industrial PCs with high-speed, powerful processing capabilities and connectivity features, companies can truly enhance manufacturing operations. This will lead to data- driven applications that can generate and share a comprehensive understanding of plant and production activities, supporting their continuous improvement.


Mitsubishi Electric gb3a.mitsubishielectric.com


Competitive factories need to leverage the


Instrumentation Monthly May 2021


power of data 51


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74