If you are a factory operator dealing with production bottlenecks — this project developed asset tracking and monitoring tools that can reduce production, cycle time, and inventory costs by more than 10%.
Ultra-Long Life Power Platforms for Maintenance-Free Industrial Wireless Sensors
Imagine if the batteries in your industrial sensors lasted for years instead of months, or even charged themselves from vibrations and light. This project creates a smart power system that lets you stick sensors on old machinery without worrying about changing batteries. It's like giving your equipment a permanent nervous system that tells you when it's sick without needing a plug.
What needed solving
Industrial IoT adoption is hindered by the high cost and labor of replacing batteries in thousands of sensors. This leads to high maintenance overheads and data gaps when sensors go offline.
What was built
A series of long-battery-life chip platforms featuring multi-source energy harvesting (solar/vibration), ultra-low power components, and embedded AI/ML for efficient data collection.
Who needs this
Who can put this to work
If you are a fleet manager dealing with misplaced assets and downtime — this project developed long-life tracking platforms that can reduce maintenance overhead of mobile assets from over 30% to under 15%.
If you are a building owner dealing with high energy bills — this project developed energy-efficient sensory data tools that can reduce the energy footprint by more than 20%.
Quick answers
How does this affect the cost of battery maintenance?
The project aims to increase typical battery life from approximately 18 months to over 5 years, significantly reducing battery replacement costs and landfill waste.
Can this be scaled to a large industrial environment?
Yes, the project is designed for retrofitting wireless sensor networks in Industry 4.0, smart mobility, and energy-efficient buildings using 12 laboratory and field-based use cases.
What is the IP or licensing model for these platforms?
Based on available project data, the project creates an ecosystem of developers and integrators to build these platforms, but specific licensing terms are not detailed.
How does it integrate with existing machinery?
The platforms are designed for retrofitting, meaning they can be installed on, in, or near existing equipment and infrastructure without requiring a full system overhaul.
What is the expected timeline for deployment?
The project period runs from June 1, 2023, to May 31, 2026, with results being validated through field-based use cases.
Who built it
The consortium is heavily industry-driven, with 41 partners across 10 countries. A significant 63% of the partners are from industry, including 15 SMEs, which suggests a strong focus on commercial viability and direct application in industrial settings rather than purely academic research.
Contact COGNITECHNA SRO in the Czech Republic
Talk to the team behind this work.
Contact us to connect with the LoLiPoP IoT consortium for early adoption of long-life sensor platforms.