The monitoring and efficient maintenance of globally distributed industrial plants poses a considerable challenge. A sophisticated and scalable solution is required. Immense amounts of data from a multitude of sensors need to be collected, analyzed and made available in real time with minimal latency. We offer seamless integration of our solution into your existing systems, reducing downtime, optimizing collaboration between different components and maximizing operational efficiency through predictive planning.
Optimized efficiency and maintenance
Sensor data is collected and processed using a scalable pipeline designed to validate, enrich and securely store the data. High-frequency sensor data such as temperature, speed and pressure from industrial plants distributed around the world are continuously recorded. This sensor data is transported using event streaming technology and is also analyzed and processed in real time. This real-time processing makes it possible to react immediately to relevant events or anomalies before they develop into major problems. After processing, the refined and enriched data is stored in a highly scalable database, which has been specially developed for fast queries and analysis of large volumes of data.
A dedicated analytics portal is used to visualize and further analyze the data. In this portal, the processed data is comprehensively displayed, giving users detailed insights into the status and performance of their systems. Interactive dashboards and reports allow users to easily spot trends, identify anomalies and make informed decisions to optimize the efficiency, interoperability and maintenance of their systems.
How can cognify support your company in processing IoT sensor data?
How our customers benefit
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Increased availability: Reduction of unplanned downtimes through predictive maintenance.
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Optimized maintenance costs: More efficient scheduling of maintenance teams. Switch from periodically scheduled maintenance to maintenance according to acute cases.
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Sustainability: Extending the service life of the systems through proactive maintenance.
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Increasing efficiency: Maximizing system capacity through targeted maintenance measures.
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Transparency: Real-time insights into the status of all systems worldwide increase operational transparency.