Energy Queensland Training Sim
A mobile simulation that walks electricians through Energy Queensland's low-voltage isolation procedure one step at a time. Built by a team of four for a real client, it was graded High Distinction.
- Role
- Animator and gameplay programmer, in a team of 4
- Discipline
- Game, Animation
- Year
- 2022
- Tools
- Unity, C#, Android, iOS
Energy Queensland already trains electricians in VR. Our job was a mobile version to sit alongside it. The brief was Section 13.A of their Low Voltage Connections Manual: the exact sequence for safely isolating a customer’s supply, from advising the customer through to testing that the line is dead.
What I did
My role covered animation, gameplay programming and UI. That meant animating the tools, such as fuse pullers and multimeters, and building the touch interactions that let players pick them up, place them and use them. It also covered the menus, the tutorial, and the waypoint navigation that moves the player between the pole, the meter box and the switchboard.
The simulation won’t let you skip ahead. Each step’s checklist has to be complete before the next one unlocks, because in the real job, doing step five before step four is how people get hurt.
The hard part
Our first version used freeform drag and drop for the tools. It worked in isolation, then behaved inconsistently once it was in the main scene. For a safety procedure, “usually works” isn’t good enough. We rebuilt the interactions around animation triggers and fixed snap points, so every tool lands exactly where the procedure says it should. The player still makes every decision. The game just doesn’t let a finger slip turn into the wrong lesson.
Working with a client
Energy Queensland’s subject-matter experts checked our work against the real procedure, and we iterated on their feedback every week. We ran Scrum sprints, used GitHub for version control and Discord to coordinate.
Outcome
We delivered the complete Section 13.A procedure as a mobile tool that sits alongside their VR training. The capstone was graded High Distinction (83%).