Matthias Guth

    Matthias Guth

    Managing Director

    Solution Examples

    Smart water treatment with local data processing
    INNOWATECH GmbH Logo
    Data Coffee GmbH Logo

    Smart water treatment with local data processing

    18.01.2024Read more →

    Podcast Episodes

    Connector for machines - digital service using the example of water treatment

    #115
    Ing. Madeleine Mickeleit
    IIoT Use Case GmbH Logo
    Aline Defranceski
    Data Coffee GmbH Logo
    Matthias Guth
    INNOWATECH GmbH Logo
    #115

    Connector for machines - digital service using the example of water treatment

    The episode highlights how Data Coffee GmbH and INNOWATECH are working together to realize digital services in mechanical engineering and how machine data can be made available to the machine builder themselves. Data Coffee GmbH is characterized by the Data Coffee Connector, a software that simplifies and standardizes the collection of data from production facilities and sensor systems. INNOWATECH, on the other hand, is known for its Anolyte technology and sets new standards in the production of disinfectants without hazardous substances. Two specific use cases are discussed in the podcast: Digital service in mechanical engineering:This use case focuses on maintenance contracts and direct customer service. Product development:Product development is discussed here, in particular how machine data can be made available to the machine manufacturer. Matthias Guth explains that INNOWATECH has been active in the field of water treatment for over 20 years and offers everything from a single source – from development and production to sales and maintenance of its plant systems. Its customers range from water suppliers and waterworks to the food industry and breweries. Digitalization is a central topic of the episode. INNOWATECH uses digital twins in the ERP system for the After Sales and Service business and offers customers real-time data via mobile devices, which gives them security in their processes and enables optimized coordination of service and maintenance tasks. Aline Defranceski emphasizes the trend towards simpler solutions and a higher density of data analysis in the data stream. She talks about the importance of automation and providing real-time service data to give customers more control and understanding of their assets.

    Nov 15, 2023
    IoT Use Case

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