Artwork

المحتوى المقدم من Ing. Madeleine Mickeleit. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ing. Madeleine Mickeleit أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Player FM - تطبيق بودكاست
انتقل إلى وضع عدم الاتصال باستخدام تطبيق Player FM !

#177 | (EN) Lifetime Monitoring: KNF & b.telligent digitize testing | b.telligent & KNF

35:29
 
مشاركة
 

Manage episode 494783552 series 2705853
المحتوى المقدم من Ing. Madeleine Mickeleit. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ing. Madeleine Mickeleit أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

www.iotusecase.com
#PredictiveMaintenance #EdgeComputing #CloudTransformation

In Episode 177 of the IoT Use Case Podcast, host Ing. Madeleine Mickeleit speaks with Soroush Khandouzi, Cloud Solution Engineer at KNF, and Florian Stein, Domain Lead for Cloud Transformation and Data Infrastructure at b.telligent.

The focus is on a joint IIoT project for pump lifetime monitoring, showing how traditional mechanical engineering companies are using intelligent data to future-proof their products – from edge integration to a scalable cloud setup.

Podcast Summary

Lifetime monitoring, predictive maintenance, and edge integration – how KNF is driving digitalization in mechanical engineering

This episode explores a real-world digitalization project by pump manufacturer KNF, developed together with IoT partner b.telligent. The goal: replace manual testing and documentation with an automated system for long-term pump monitoring – powered by an edge-to-cloud architecture based on Azure IoT and custom-built Data Acquisition Controllers (DAC).

The challenge:
Until now, key parameters like pressure, temperature, and current were recorded manually – sometimes daily, and over several years. With four production sites worldwide, fragmented systems made consistent evaluation nearly impossible.

The solution:
A scalable IoT infrastructure built on Azure IoT Edge, near-real-time data transmission, a burst mode for high-frequency measurements (up to 10 kHz), and visualization in Grafana. In addition to automating centralized testing for more than 1,500 pumps, the system enables cross-site monitoring, AI-driven analysis, and predictive maintenance.

The key insight:
Data is not just collected – it’s made actionable in real time, enabling faster development cycles, higher product quality, and entirely new service offerings.

This episode is a must-listen for anyone looking to scale IIoT projects – from R&D to testing and production.

👉 Tune in and discover practical best practices.

-----
Relevante Folgenlinks:
Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)
Florian (https://www.linkedin.com/in/florian-stein-33692617b/)
Soroush (https://www.linkedin.com/in/soroush-khandouzi/)

Jetzt IoT Use Case auf LinkedIn folgen

1x monatlich IoT Use Case Update erhalten

  continue reading

188 حلقات

Artwork
iconمشاركة
 
Manage episode 494783552 series 2705853
المحتوى المقدم من Ing. Madeleine Mickeleit. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Ing. Madeleine Mickeleit أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

www.iotusecase.com
#PredictiveMaintenance #EdgeComputing #CloudTransformation

In Episode 177 of the IoT Use Case Podcast, host Ing. Madeleine Mickeleit speaks with Soroush Khandouzi, Cloud Solution Engineer at KNF, and Florian Stein, Domain Lead for Cloud Transformation and Data Infrastructure at b.telligent.

The focus is on a joint IIoT project for pump lifetime monitoring, showing how traditional mechanical engineering companies are using intelligent data to future-proof their products – from edge integration to a scalable cloud setup.

Podcast Summary

Lifetime monitoring, predictive maintenance, and edge integration – how KNF is driving digitalization in mechanical engineering

This episode explores a real-world digitalization project by pump manufacturer KNF, developed together with IoT partner b.telligent. The goal: replace manual testing and documentation with an automated system for long-term pump monitoring – powered by an edge-to-cloud architecture based on Azure IoT and custom-built Data Acquisition Controllers (DAC).

The challenge:
Until now, key parameters like pressure, temperature, and current were recorded manually – sometimes daily, and over several years. With four production sites worldwide, fragmented systems made consistent evaluation nearly impossible.

The solution:
A scalable IoT infrastructure built on Azure IoT Edge, near-real-time data transmission, a burst mode for high-frequency measurements (up to 10 kHz), and visualization in Grafana. In addition to automating centralized testing for more than 1,500 pumps, the system enables cross-site monitoring, AI-driven analysis, and predictive maintenance.

The key insight:
Data is not just collected – it’s made actionable in real time, enabling faster development cycles, higher product quality, and entirely new service offerings.

This episode is a must-listen for anyone looking to scale IIoT projects – from R&D to testing and production.

👉 Tune in and discover practical best practices.

-----
Relevante Folgenlinks:
Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)
Florian (https://www.linkedin.com/in/florian-stein-33692617b/)
Soroush (https://www.linkedin.com/in/soroush-khandouzi/)

Jetzt IoT Use Case auf LinkedIn folgen

1x monatlich IoT Use Case Update erhalten

  continue reading

188 حلقات

همه قسمت ها

×
 
Loading …

مرحبًا بك في مشغل أف ام!

يقوم برنامج مشغل أف أم بمسح الويب للحصول على بودكاست عالية الجودة لتستمتع بها الآن. إنه أفضل تطبيق بودكاست ويعمل على أجهزة اندرويد والأيفون والويب. قم بالتسجيل لمزامنة الاشتراكات عبر الأجهزة.

 

دليل مرجعي سريع

حقوق الطبع والنشر 2025 | سياسة الخصوصية | شروط الخدمة | | حقوق النشر
استمع إلى هذا العرض أثناء الاستكشاف
تشغيل