Overview
Autonomous Technology (AT) and the Internet of Autonomous Things (IoAT) are emerging technologies that bring about control and supervision with little to no input from humans.
Machines such as cars, trucks, trains and even spacecraft are progressively becoming more (Artificially) intelligent and together with various communication technology, positioning and smart sensor systems they are able to function in parallel with humans.
Who the course is for
Our particular training course is intended for learners who are a part of this new revolution, either through personal choice or through changes in the workplace. The course will educate the learner as to what, how and why autonomous technology is becoming more prevalent in our day to day lives. Due to our unique geographical location in WA, this course will also attract learners from the mining environments where Autonomous mining is driving mines of the future and whose systems we demonstrate in our training.
What you'll learn
- Introduction to autonomous technologies
- Sensing and Acting on real time data
- Real time communications
- Autonomy in Mining and Industrial environment
- Introduction to Fleet Management and Heavy Haulage
- Autonomy in Light Vehicles
- Deep Learning and Artificial Intelligence
Curriculum
- Introduction to Smart Mining
- Introduction to Mines of the Future Concept
- Introduction to Autonomous in Light Vehicle Vs Heavy Haulage
- Definitions and essential principles
- Autonomous, semi-autonomous & remote control
- Hybrid system (Carbon/Electric) technology
- Vehicle Integration
- Functional & Environmental safety
- Overview of main vehicles in autonomous use
- Autonomous vehicles for mining
- Breakdown of main components of the AHS system
- AHS minesite system examples
- Operation centre overview
- Fleet management technology in mining
- Type of Sensors and Actuators
- Introduction to Machine Control Algorithms
- Introduction to Machine learning
- Control functions
- Safety functions
- Remote operational control
- Supervisory Control & Data Acquisition concepts
- Data Analytics
- Satellite and Internet communications
- GPS Navigation
- Human interaction/Intervention
- Introduction to Lidar, Civilian GPS Systems
- Mapping and Tracking Software
- Awareness v Avoidance
- Manual interaction
- Minealert® Collision avoidance system overview
- Human interaction
- Predictive maintenance
- Self-Diagnostics
- Application monitoring
Prerequisite
Basic knowledge of STEM to Cert III and Cert IV is desired but not mandatory.
Career Outcomes
After completing this program, you will have acquired professional skills relating to Autonomous Technology and understand its impact within Industrial & Mining environments.
You will also progress your career to learn computer vision and deep learning techniques.
If you have acquired prior knowledge of any engineering discipline then this course will help you getting suitable positions in Remote Operation Centres
Career opportunities include:
- Autonomous Application Specialist
- Autonomous Analyst
- Autonomous Consultant
Autonomous Technology
5 day course
Weekdays
On Demand
Price on Application
Techlearn Lab or Client Venue
Techlearn Lab or Client Venue