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(Innovate Hub) Web and mobile app to predict lightning strike

Power supply continuity Data & Smart sensors IT/OT for utilities Grid optimization
Project status
Awardee edition 2024
Country
Ouagadougou, Burkina Faso
Grant
37,5k€
(Innovate Hub) Web and mobile app to predict lightning strike

Power supply continuity Data & Smart sensors IT/OT for utilities Grid optimization
Project status
Awardee edition 2024
Country
Ouagadougou, Burkina Faso
Grant
37,5k€

Sergio Guzarango
The project is led by Innovatehub
From connected agricultural solutions to improving environmental safety, our expertise bridges the gap between innovation and sustainability.
We explore the vast possibilities of energy, agriculture, livestock, safety and environmental solutions. With every innovation, we push the boundaries of what is possible, creating a smarter, greener future.

"Lightning can cause serious damage, harming people and destroying equipment. Zed Box helps solve this problem by protecting people and safeguarding sensitive equipment." (Sergio Guzarango, promoter of innovate hub and electronics piece for research and development.)

Context
Lightning poses significant risks to both individuals and industries, causing harm to people and damage to critical electrical equipment. The Zed Box is a system designed to address these challenges. It comprises electronic devices equipped with long-range radio communication technology and sensors that collect real-time environmental data. 
This data is then analyzed using artificial intelligence (AI) to accurately predict lightning strikes. The system provides mobile app alerts to individuals and automatically disconnects critical electrical equipment, protecting energy providers and industrial operations.

 

Objectives
  • Protect individuals and critical equipment by providing timely alerts and enabling automatic disconnection of electrical systems.
  • Develop and deploy Zed Box units in various regions to minimise lightning-related risks.

 

Activities
  • Development of a mobile application to deliver real-time alerts to individuals and organizations.
  • Monitoring and analyzing field data to enhance the system’s performance over time.
 
Impacts
  • Contribute to a safer environment for communities and industries, minimizing the human and economic impact of lightning strikes.
  • Boost the reliability of energy systems by preventing lightning-related damages.
  • Enable data-driven decision-making for lightning risk management using AI-powered insights.

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