Weidmüller has developed a new machine learning tool to provide analytics solutions for traditional mechanical engineers and machinery operators - no special IT expertise required.01 May. 2019 Trendspot-Redaktion
Weidmüller Interface GmbH & Co. KG is a prominent front-runner in the field of electrical connectivity and electronics, with production sites, sales companies and representatives in around 80 countries and a global workforce of almost 4,700. Its products are used primarily in mechanical engineering, the processing industry, conventional and renewable energy generation, transportation engineering, buildings infrastructure and equipment manufacturing. In 2013, the company started focusing more intently on Industry 4.0, getting involved in the"“it's OWL" cluster of excellence and many other research alliances, such as Robotation Academy Foshan, Smart FactoryKL and Centrum Industrial IT. At the recent HANNOVER MESSE, one of the company's key themes was the hot topic of machine learning.
Weidmüller chose the event to unveil the new version of its machine learning tool, aimed at securing a future-proof basis for more efficient production concepts. The upgrade is designed to help mechanical and plant engineers drive forward their analysis models independently - without any need for advanced data expertise. The tool keeps knowledge about the company’'s processes and machines where it should be - in-house - by enabling them to input their domain knowledge autonomously. Weidmüller's no-nonsense analytics solutions are designed to be easily operable by traditional mechanical engineering companies and operators. The major attraction of these concepts is their focus on machine availability or a guaranteed number of manufactured parts - rather than specific machinery, as in the past. Industrial Analytics services from Weidmüller generate quantifiable added value by maximizing production time - and the high return on investment means the system should pay for itself within a matter of months.
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