IoT System for Bosei College in Denmark

I implemented an IoT system to monitor electricity, heat, and water for Idrætshøjskolen Bosei in Denmark, bringing data from multiple systems into one unified platform. This helps the school track consumption more clearly, detect anomalies earlier, and support more efficient operations.

In educational and facility operations environments, data is often scattered across different device types and isolated systems. This makes continuous monitoring, data reconciliation, and reporting time-consuming and error-prone. To solve this, my goal was to centralize data into a single source while preserving enough detail for managers to analyze and make operational decisions based on real data.

Based on these requirements, I built a system architecture that connects multiple data sources into one monitoring platform. Shelly devices are used for electricity monitoring, while existing heat and water meters are read by a gateway via M-Bus. After normalization, data is sent to the monitoring platform for storage, dashboard visualization, and operational reporting.

Shelly + M-Bus Meters → Mivo Gateway → HTTP → Monitoring Platform

For the electricity layer, I designed the dashboard to start with an overview and then drill down by area when needed. Key information includes electricity usage, consumption distribution, time-series trends, and time-based electricity pricing. This layout helps operators see both current values and trend behavior over time.

After the overview layer, I configured detailed dashboards per meter so area-level consumption checks are faster and clearer. This approach is especially useful for isolating points with unusual consumption increases.

I integrate data from Shelly devices into the monitoring platform through the Shelly Cloud API to manage and monitor the electricity device layer.

For the heating layer, I connect heat meters through a gateway via M-Bus and send data to the monitoring system over HTTP. The heating dashboard focuses on key metrics such as time-based consumption, supply and return temperatures, and flow rate. This gives the school a clearer basis to monitor and evaluate heating system performance.

I connect water meters through the same gateway architecture so water data is standardized and centrally visualized alongside electricity and heating data. The water dashboard allows monitoring by time and by month, making trend review more intuitive.