CUDA
Underground mining safety
Intro
CUDA is a holistic safety system building on the ongoing introduction of 5G networks in underground mines, to benefit both miners and the safety responsible, by facilitating the information, communication, and evacuation navigation needed in case of an emergency.
About
Master Thesis Project
Social Impact Product Design
Duration
2024 - 20 weeks
collaboration
China Pan Jiang Energy Group
Team
Individual
Facts
Underground mining is pertinent to the world’s need for metals and minerals for the electric energy transformation, but as the need for deeper mining increases, so do the risks. In 2021 in China alone, 503 miners were killed in underground disasters. On a global scale, there are still 20 million people, workers and their families, who are making their living in the mining industry.
challenge
During my research, I discovered that historically underground disasters could occur and develop very fast. However, the response time has been wasted on the inaccurate determination of the source and scale of the emergency, inefficient disaster information communication, and pointless blind evacuation navigation, with devastating consequences.
chance
But things are going to change. Mines in China have started to apply underground 5G networks to enhance the transmission speed and bandwidth. The warning time for disaster has been extended from 4 minutes to a maximum of 2 hours.
So my project focused on providing a hands-on product solution and system for real-time emergency notification and evacuation navigation by leveraging the underground 5G networks and the disaster prediction technology that are becoming more and more available.
Final design
CUDA is a holistic safety system building on developing 5G networks in underground mines, to the benefit of both miners and the safety responsible, by facilitating the information, communication, and evacuation navigation needed in case of an emergency.
It consists of two types of products: an ergonomic and easy-to-mount helmet-worn headlight unit for emergency notification, LED navigation and a powerful work light for every miner; as well as a handheld advanced gas detector unit for safety inspectors on-site in the mine. Both are connected to the information centre above ground via 5G, where data from the existing tunnel monitoring sensors and stationary cameras are gathered and analysed by an AI-assisted system.
Real-time Emergency notification
Real-time Intuitive evacuation navigation
potential disaster source determination & share
For safety inspector, they are equipped with intelligent gas detector units to enhance their workflow. The new generation gas detector, with an uncooled Optical Gas Imaging camera, allows safety inspectors to quickly and accurately locate any potential gas leak source from a safe distance (5-10 meters) and share real-time location and visual image data with the information centre for AI-powered quicker decision-making and immediate response.
Uncooled optical Gas imaging camera
OGI is a type of infrared thermal camera, which can be used underground with certain power limitations. Compared with the cooled OGI cameras, the uncooled OGI cameras are more compact, with lower cost and power consumption. Making it a more cost-effective OGI solution in the underground mines. To activate the OGI camera module, the safety inspector needs to slide the cover manually, which can prevent mechanical failure during an emergency. During detection, the OGI camera can automatically capture the leaking gas pattern in real time and overlay it on the visible image, which allows safety inspector to switch between different colour patterns and thermography modes.
real-time gas level monitoring
Built for extreme environments
Seamlessly pairing
universal to all mining helmets
Powerful and Flexible
Design process
The project commenced with extensive desktop research to understand the mining workflow and the social phenomena behind it. Then I travelled to Southwest China to conduct field research in an 800-meter-deep underground mine and the Mine Gas Outburst Forecasting Centre. On-site, I observed the working environments of various stakeholders and interviewed miners with different experiences.
Back at school, during the concept development phase, I conducted immersive ideation workshops and tried out Arduino low-fidelity prototypes with classmates. Then I iterated and optimized various design details using 3D-printed models to ensure ergonomic suitability for underground mine environments and reliability in extreme, emergency, and low-visibility situations.
Finally, I returned to China with the high-fidelity 3D-printed models for review. This allowed miners on-site to examine and test the final concept in person.