Innovative power supplies, signal inverters, I/O systems, routers, switches and IoT couplers allow Weidmüller to provide secure network data. Weidmüller is taking things to a whole new level in increasing availability, efficiency and process quality in production.
Thanks to its Industrial Analytics and u-link Cloud Service, the company now positions itself as a strategic partner in Analytics solutions. The combination of application knowledge and Analytics skills even allows Weidmüller to be one step ahead of many established software houses. Real added value is delivered by the interpretation of data analysis results in the context of specific applications, in order to gain relevant business insight. As a result, the customer benefits from an entirely new level of business skills.
Industrial Analytics is currently inspiring many machinery and plant manufacturers. For example, guaranteed machine uptime is projected to deliver
Industrial Analytics solutions collect and process various data from the system in question and analyse it using intelligent processes
added value to new systems in the future. Such future-proof business models are set to leverage long-term customer loyalty.
This is achieved by leveraging a well-organised process. The first step involves describing the use case. Then, the implementation of a proof of concept and a pilot takes place. To this end, the team works through the traditional stages of data capture, integration, preparation, analysis and implementation. The pilot project represents the technical feasibility study by determining whether customer issues can be solved through data analysis. Additionally, the economic benefit is evaluated.
More and more companies are realising that the expansion of data-based services provides them with real business advantages. Moreover, the ability to predict the behaviour of machinery is becoming increasingly relevant. The methods employed by Advanced Analytics help to achieve this. Machine learning or artificial intelligence techniques allow machine behaviours to be better understood by the customer thereby revealing structures and patterns and providing new insight into data relationships.
A platform-independent approach plays a particular role when implementing Analytics solutions. In this way, the customer can decide whether Analytics are performed via the Cloud, on premise or out in the field and is consequently not limited to a particular platform.
Weidmüller has already run pilot projects in its manufacturing process. Owing to the learned machine behaviours determined, it is possible to both predict and avoid potential process failures. In this way, unplanned downtimes can be significantly reduced resulting in an increase in machine productivity.
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Generate added value from machinery and production data with Industrial Analytics
Published in May 2017
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