Solution Examples
Podcast Episodes
Lifetime Monitoring: KNF & b.telligent digitize testing
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.
IoT in the application of intelligent waste management | Thermal waste treatment & emissions
MARTIN GmbH für Umwelt- und Energietechnik is one of the world’s leading suppliers of plants for thermal waste recycling. With its innovative technologies, the family-owned company contributes to sustainable and efficient waste recycling. The episode is about the joint project between b.telligent and MARTIN, more precisely about specific use cases in the service and aftersales area with the aim of increasing the availability of the plants. In this episode, challenges and solutions, such as the integration of IoT technologies for optimizing plant management and data analysis, will be discussed. The focus is on the benefits of these technologies for the management and maintenance of waste incineration plants, including data processing and visualization using modern tools such as MQTT and Power BI. Two specific topics from the field of IoT applications are discussed: Waste incineration plants – This use case, implemented in collaboration with MARTIN GmbH, focuses on the application of IoT technologies to monitor and optimize waste incineration processes. Approaches to data collection and analysis are discussed with the aim of improving the efficiency and environmental compatibility of the systems. Traceability Portal – Another use case discussed in the podcast is the Traceability Portal. This system is used for the traceability of components and processes, which is particularly important in industrial and production-oriented environments to ensure quality assurance and compliance. Both topcis illustrate the practical application of IoT technologies in the industrial and environmental landscape and show how companies can use digital innovations to optimize their processes and make them more sustainable.
