UAV Based Mine Operations Monitoring Masterclass
Maximise drone-based observations for advanced applications for mine safety and environmental applications.
Quick facts
| Duration | Delivery | Course Type | Next Intake | PD Hours | Language |
90-minute webinar (+30 minute Q&A) |
100% online |
Digital
|
|
Up to 2 |
English |
Course overview
Almost all major mining companies now operate drones; having an awareness of the technology and its full potential is rapidly becoming essential. In just 90 minutes, learn necessary tips and tricks about some of the advanced applications of drone-based sensing together with associated platforms, sensors, and software.
The focus of this masterclass is the comparative advantages and challenges of drone-based observation in comparison to satellites and aircrafts.
This masterclass extends the current use of drones at mine sites with demonstrations of some of the advanced applications. In the webinar, Associate Professor Simit Raval and Dr Bikram Banerjee will highlight the advantages and challenges of drone-based observation over satellites and aircrafts. The discussion will also include a theoretical account of various sensors that are suitable to mount on drones. The sensing systems included are RGB cameras, multispectral, hyperspectral, thermal, LiDAR and other sensors with their capabilities and limitations. Gain a practical guide to flying a drone with ground control (GC) points as well as flying with an RTK or PPK enabled drone.
Delivered in collaboration with AusIMM’s Education Partner, UNSW Sydney.
Recording pricing
Access the recording
Who should attend?
- Mine managers - Optimise drone observations with an understanding to integrate various applications
- Mining Engineers - Use it at various stages of planning plus improving safety
- Geotechnical engineers - Improved data capture for stability analysis
- Geologists - Unbiased sensor-based observation for rock mass characterisation
- Mine Surveyors - Faster, more efficient data capture that could be utilised for multiple applications/objectives
- Mine Environmental Engineer - Detailed unbiased sensor-based data for better assessment and early intervention
- Researchers - Identification of potential new areas of research
- Geotech consultants - Improved data capture for stability analysis
- Academics, Research students - Keep abreast with the latest technology trends
- Developers - Be aware of the latest developments in hardware and software with specific focus on application demonstration.
Learning outcomes
On completion of the masterclass, you will be able to:
- Understand the fundamentals of drone-based data capture
- Recognise the latest technological developments in drone-based sensors and software
- Be aware of various basic and advanced applications of drone-derived data for mine safety and environmental monitoring
These skills will make you more valuable to your employer and support the advancement of your career in the mining industry.
Course structure
This masterclass will be delivered via a 90-minute live webinar (+ 30 minute Q&A session) and will be supported by resources on AusIMM’s Learning Management System.
The webinar session will be recorded and available within 24 hours for participants unable to attend.
Facilitators
Associate Professor Simit Raval
He leads a group of researchers focused on utilising data from sensors mounted on various platforms, from satellite through to UAVs, to visualise, identify and monitor mining operations.
He has received more than $2 million in competitive research grants and supervised PhD research projects involving drone-based smart sensing, underground laser scanning, image-based automated material characterisation as well as off-earth mining.
Dr Bikram Banerjee
He has been involved in diverse aspects of mapping highwalls, water sampling, waste dumps, and investigating sensitive ecosystems in mining regions. His extensive experience lies in the algorithmic aspect of spatial and point cloud data analysis processing, where he specialises in employing machine learning and deep learning algorithms to deliver automated mapping solutions for mining problems.
Frequently asked questions
What are the technical requirements to participate in the course? i.e. do I need a webcam, microphone, etc?
The course will be run entirely online via a cloud-based Learning Management System (LMS) which can be accessed via computer, tablet or phone. Participants will simply need to have a working Internet connection and a computer, tablet or phone with sound to access the course. The live webinars will be hosted on Zoom and participants may choose to download this application to their computers or devices; however, this is an optional download and attendance via an internet browser is also enabled. Participants will not be required to have access to a webcam or microphone.
How long will the course take?
The full course is estimated to take about 3 hours of learning. Participants will have access to the course platform for three weeks.
Will the course be delivered in other languages?
At the moment, the course will only be delivered in English.
Does someone have to have a prequalification of years’ experience before they can do the course?
No pre-qualification needed but the course is aimed at mining professionals who have a certain level of working experience and knowledge.
How many PD hours do I receive for undertaking the course?
Participants can earn professional development (PD) hours for undertaking the course. One contact hour of technical content is equivalent to one PD hour.