Pyrolysis boilers burn biomass highly efficiently – when they run optimally. However, without continuous monitoring, inefficiencies remain invisible: Too low combustion temperatures lead to energy losses, suboptimal oxygen supply results in incomplete combustion. This monitoring system captures over 300 data points per minute from Siemens S7 controllers and transmits them via MQTT and SparkplugB into a Unified Namespace. InfluxDB stores the time-series data, while Grafana dashboards provide real-time visualization and alerting. The result: Transparent operations management, optimized combustion, and centralized administration of multiple facilities across locations.
Technologies Used:
- Siemens S7 PLC
- MQTT & SparkplugB
- InfluxDB & Grafana
- Unified Namespace Architecture
- NodeRED
Together with the company 4E Engineers, a FOSS-architecture was designed and set up to allow for the comprehensive monitoring of any components of a building's technical equipment. Highly flexible edge node gateways collect data from a wide range of protocols, which are then made available for further analysis.
Technologies used:
- Docker
- Grafana
- InfluxDB
- NodeRED
- Flux
- Modbus
- 1-Wire
- WMBus
With OMIO I provide a service for secure, fast and easy management of your real-time data. Open source tools are orchestrated for data acquisition, storage and analysis to provide a basis for further analysis tools and algorithms. In addition, an interface for the connection of water monitoring winches has been developed.
Technologies used:
- MQTT
- NodeRED
- Telegraf
- InfluxDB
- Grafana
- Python
- GRAV CMS
- Docker Container
Water monitoring in reservoirs requires continuous depth profiles – previously only possible manually from boats. This profiler winch fully automates the process: Up to 8 times daily, an OTT HydroLab 7 probe captures oxygen, temperature, pH value, and algae concentration across the entire water column. The measurement data flows directly into the central control system of the Aabach reservoir, which supplies drinking water to 200,000 residents. The result: Comprehensive data monitoring for optimal operation of the deep-water aeration system – without manual boat trips.
Technologies Used:
- Siemens S7-1200 PLC
- OTT HydroLab 7 multiparameter probe
- OTT netDL 1000 data logger
- Unigate MB protocol converter
- Custom winch design (100m cable capacity)
