From May 26–28, I had the opportunity to represent SYSGO – Embedding Innovations at the LoLiPoP-IoT final dissemination event, held during EnerHarv 2026 in Madrid, Spain.
LoLiPoP-IoT is a European research project focused on long-life, energy-harvesting IoT platforms. It explores how ultra-low-power devices and communication technologies can enable sustainable, autonomous sensing systems for industrial applications.
SYSGO’s Contribution: Secure Edge Gateway
As part of the project, SYSGO contributed to two use cases by providing a secure smart gateway based on our flagship technologies PikeOS and ELinOS.
The gateway enables partners to deploy applications and collect sensor data over multiple protocols, including Mioty, BLE, and others—supporting flexible and resilient IoT deployments at the edge.
Use Case: Industrial Silo Risk Simulation
One of the highlights was Use Case 7, demonstrating an in-vitro simulation of an industrial grain silo for monitoring combustion risk and abnormal conditions.
During the demo, we heated a glass container filled with rice and injected CO₂ to emulate a hazardous scenario. The system visualized the risk evolution in real time via the GUI, clearly showing how the danger level increased as the CO₂ concentration spiked.
Edge AI Opportunities in Predictive Safety
Beyond the demonstration, an interesting open question emerged: Can we predict grain-combustion risks before they occur?
A lightweight edge AI model could analyze sensor patterns, correlate internal and ambient signals, and forecast when conditions are drifting toward a critical threshold—enabling earlier intervention while maintaining strict power constraints.
This remains a promising area for both academic research and industrial application.
Closing Thoughts
The event was an excellent opportunity to exchange ideas with researchers and industry partners working on the future of energy-harvesting IoT systems.
If you are working on edge AI, predictive maintenance, or industrial IoT monitoring, we would be glad to connect and explore possible collaborations.
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