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Virtual Panel Event about Industrial Connectivity

Virtual event

17/05/2021(16:00-17:00)

This 60-minute virtual panel discussion between industry experts will explore the intersection of connectivity (more)

UKIVA Machine Vision Conference

Virtual

15/07/2021

Join us on 15 July 2021 on the MVC Technology Presentation Hub and explore eight online seminar theatres. (more)

PPMA Show 2021

NEC, Birmingham(B40 1NT)

28/09/2021 - 30/09/2021

PPMA Show 2021 will be the UK’s largest ever event dedicated to state-of-the-art processing and (more)

Southern Manufacturing

Farnborough, Hants(GU14 6TQ)

06/10/2021 - 07/10/2021

Southern Manufacturing and Electronics is the most comprehensive annual industrial exhibition in the (more)

Advanced Engineering 2021

NEC Birmingham(B40 1NT)

03/11/2021 - 04/11/2021

Join us in our 12th and most important edition to date, as we invite engineers and management from all (more)

Competitive factories need to leverage the power of data

Competitive factories need to leverage the power of data

Boosting responsiveness, productivity and flexibility on the factory floor is the key to enhanced competitiveness. Efficient data management using the Industrial Internet of Things (IIoT) is therefore increasingly important in extending communication beyond the production cell and ensuring the successful deployment of new and updated automation systems.

Jeremy Shinton, product manager for Edge computing technologies at Mitsubishi Electric, looks at how the latest controllers designed to manage this convergence of information technology (IT) and operational technology (OT) can be used to ensure optimal data management and connectivity.

Key to bridging the gap between automation systems processing large volumes of data and turning this into intelligence that is shared with higher level enterprise systems is a new class of controller. The latest PLCs, machine controllers and industrial PCs built for IIoT applications can be used for Edge computing while also supporting high-speed data logging to the Cloud.

Reaching out beyond the factory floor

At the core of highly effective, futureproof production facilities is the Industrial Internet of Things. This is a network of connected devices and systems from the factory floor all the way up to higher enterprise levels that generates and shares large volumes of data. The goal is to create unique actionable manufacturing intelligence to improve production and plant activities resulting in increased productivity, uptime and flexibility. Businesses that leverage the power of data can therefore considerably enhance their competitive edge in a fast-changing market.

The creation of a successful IIoT application requires automation systems built on controllers with cutting-edge processing power and capacity, allowing data to be analysed closer to where it is generated. State-of-the-art PLCs, such as Mitsubishi Electric’s MELSEC iQ-R series, address these needs by featuring powerful processors and large data handling capabilities.

IIoT-ready controllers like these support advanced connectivity options playing their part in (continuously) delivering data-driven information. The ability to connect to the cloud using common protocols directly on the PLC is a growing trend, the ‘connect everything’ idea means that controllers can be anywhere in the world and act as a ‘data pump’ to higher level cloud platforms. Commonly used operating systems, such as Linux, can now be hosted on PLC modules. This enables the platform to utilise an open source, secure functionality that can easily be installed into these environments. It puts the already highly connected plant level PLC into areas using new language terminology phrases, such as JSON, REST API, MQTT, Python and the rest of the buzz words and acronyms that fill this space. These new PLC capabilities open the door to IIoT applications in all industries.

While these elements are crucial to producing information technology (IT) driven actionable insight to improve production operations, businesses will need solutions to continuously bridge the divide between the IT world and operational technology (OT). This represents the next step in ensuring highly productive, flexible and responsive plants.

Automation that works at the Edge

To achieve this, solutions need to be implemented that can support data analysis for time-critical operational tasks and production-based analytics as well as for non-urgent but more processing-intensive data mining. These help to build an in-depth understanding of plant operations and develop actions on how to improve them.

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.

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.

 

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