
Bodenseezentrum Innovation | IoT Sustainability Lab
About us
The Bodenseezentrum Innovation (BZI) is the transfer network of HTWG Konstanz, which strengthens cooperation and innovation in the four-country region around Lake Constance in the spirit of recursive transfer between science and practice. The focus is on cross-border networking on topics related to digital transformation, with the aim of bringing together relevant players, launching transfer projects, and creating synergies. At all about automation, you can find out more about the BZI and IoT solutions from the IoT Sustainability Lab research collaboration at the Future Now! Hub exhibition stand, where it will be showcasing specific sustainable smart IoT services for industry together with the companies SABOY Anlagentechnik and PRiOT AG.
The IoT Sustainability Lab is an international, interdisciplinary, and intersectoral research collaboration in the Lake Constance region funded by the EU (Interreg VI “Alpenrhein-Bodensee-Hochrhein”) and the Swiss Confederation, which is led by HTWG Konstanz in cooperation with the BZI. Twenty-two partner institutions from science and practice are jointly researching sustainability aspects of IoT systems, developing sustainable IoT solutions, networking with IoT experts, and transferring useful Lab results into practice. Researchers from the Lab will show you at the exhibition stand how you can use product-service system frameworks from Lab research to design smart IoT services for your company that enable early fault detection, reduced downtime, and sustainably optimized plant operation through real-time monitoring of sensor-equipped industrial plants and predictive analytics. The companies SABOY Anlagentechnik and PRiOT AG will present use cases for IoT-optimized predictive maintenance of production and ventilation systems at the exhibition stand and in the Speakers Corner of the Future Now! Hub.
SABOY Anlagentechnik specializes in the automated evaluation of machines and systems. Based on technical evaluations, classifications, and diagnoses of parameters, SABOY's evaluation models detect impending system failures and derive maintenance and optimization measures before they become noticeable in operation. This saves time and avoids costly machine malfunctions. In a use case, SABOY will show you on March 10, 2026, at the exhibition stand and in a presentation in the Speakers Corner of the Future Now! Hub how automated fault diagnosis and predictive plant optimization based on flexible and uncomplicated data input (plug-and-play) works and leads to optimal recommendations for action.
PRiOT AG is a provider of automated and secure end-to-end IoT solutions – from hardware design to data transmission and processing to reporting. Customized PRiOT solutions cover the areas of filter monitoring, roof monitoring, energy consumption aggregation, photovoltaic systems, Minergie monitoring, and climate monitoring. In a use case, PRiOT will show you on March 11, 2026, at the exhibition stand and in a presentation in the Speakers Corner of Future Now! Hub, how a battery-powered IoT system with LoRaWAN transmission enables real-time monitoring, automatic creation of maintenance and intervention tickets, and demand-based replacement of filters in ventilation systems (at Swisscom).
Products & services

PSS frameworks for smart sustainable IoT services from Lab research
Sustainable smart IoT services enable early fault detection, reduced downtime, and sustainably optimized plant operation through real-time monitoring of production facilities and predictive analytics. Product-service system frameworks from Lab research facilitate the design of corresponding IoT-based service offerings.

Use Case 1: Predictive Machine Management through IoT – Automatic Fault Diagnosis and Optimization
Machine malfunctions can be costly. Finding the source of the problem and figuring out how to fix it takes a lot of time and effort. Modern analysis tools let you automatically diagnose problems and optimize your equipment with just a few clicks. The use case solution supports flexible data input from files or clouds, offers intuitive modeling with ready-made plant components, and generates clear, technical recommendations based on the analysis results. This makes it an ideal plug-and-play solution for existing plants and for continuous monitoring during operation. It also saves resources and contributes to sustainability.

Use Case 2: Predictive Filter Management durch IoT - Von der Messung zur intelligenten Wartung
Dirty filters increase the energy consumption of ventilation systems, reduce air quality, cause high operating costs, and can result in costly consequential damage. Manual filter monitoring is expensive and prone to errors. The use case revolves around a filter monitoring system as a cost-effective and easy-to-install IoT solution for the complete automation of filter maintenance. The system monitors systems in real time and enables filter replacement as needed, including automatic creation of maintenance and intervention tickets. Thanks to battery-powered hardware and LoRaWAN transmission, the solution works completely independently of local infrastructure, which increases operational reliability and keeps operating costs low. It also saves resources and contributes to sustainability.