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DTSTART:20190101T000000
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DTSTART;VALUE=DATE:20200114
DTEND;VALUE=DATE:20200117
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SUMMARY:Predictive Maintenance 2020
DESCRIPTION:Managing the migration to predictive maintenance to maximise asset lifecycles and reduce costs in a more dynamic grid environment. \nThe premier Predictive Maintenance 2020 conference\, exhibition and networking forum takes place 14-16 January 2020 in Berlin and brings together 100+ utility maintenance leaders\, to review the practical application and future possibilities of predictive maintenance. \nThis end-user driven\, implementation focused conference includes 14+ utility case studies\, to create a comprehensive picture of the predictive maintenance architecture for our audience as they continue to develop and innovate their maintenance strategies. Sessions will focus on key aspects of developing predictive maintenance capabilities by addressing the kinds of technologies\, data management practices and open platforms that will become an integral part of the digitised utility’s tool set. \nAlongside the case-study programme\, there is a utility strategy panel session\, a technology innovation panel discussion\, intimate end-user round table debates\, a live demo lab of the latest systems and solutions\, an exhibition areas displaying state of the art tools and technologies\, and an evening networking reception open to all participants. \nDiscussion themes include: \n\nCreating the Roadmap\n‘Understanding the drivers\, building the business case\, and determining the longer-term roadmap for predictive maintenance in the smart grid environment\nDriving Sensorisation\n‘Determining a cost-effective sensor deployment strategy to plug the gaps in existing data sets\, maximise prediction accuracy and improve SAIDI\nData Management\n‘Pooling a wide range of sensor and smart meter data\, ensuring its quality and accessibility\, and its’prediction reliability\nSystem Architectures\n‘Comparing the potential of legacy systems with state-of-the-art data lakes and emerging platform innovations for driving predictive maintenance efficiency and accuracy\nFuture Technologies’\n‘Evaluating the potential of Digital Twin\, Cloud services\, AI&ML\, LIDAR & UAV\, Blockchain and Augmented Reality for the future of predictive maintenance in the smart grid\n\nFor more information and to register please visit: https://www.smartgrid-forums.com/PDM20DFL’ \nCall: +44 (0)20 3691 1700\nEmail: registration@smartgrid-forums.com \nProduced by Smart Grid Forums
URL:https://datafloq.com/meet/predictive-maintenance-2020/
LOCATION:Steigenberger Hotel Berlin Los-Angeles-Platz 1 10789\, Berlin\, Germany\, Steigenberger Hotel Berlin Los-Angeles-Platz 1 10789\, Berlin\, DE
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