• Recolección de Datos de IIoT con el PI System(3)

    Sin resumen disponible.
    Year: 2017

    El Rol del PI System en la implementación de la IIoT(1)

    Sin resumen disponible.
    Year: 2017

    How Machine Learning, IoT and Artificial Intelligence Will Change Your Business(1)

    Sin resumen disponible.
    Year: 2017

    WHUD case study

    With the high-fidelity insights from the PI System, WHUD pinpointed a leak spilling nearly 147 million gallons a year, reduced its costs by over $1 million and postponed $15 to $20 million in upgrades.

    PEM RWTH Aachen University EMEA 2017 story

    RWTH Aachen University, located in Germany, is one of the largest technical universities in Europe. Founded in 2014, the university’s PEM (Production Engineering of E-Mobility Components) institute focuses on designing electric mobility solutions. To make electric vehicles more affordable for mass production, engine batteries must be produced in a cost-effective manner. With the help of the OSIsoft PI System, PEM Aachen used operational data to optimize the production process in order to: predict battery quality during production in order to eliminate the cost and time associated with end of line testing, reduce overall production cost by as much as 20%, and shrink batter scrap rates from 10% to 2%.