University of Queensland associate professor Rahul Sharma speaking about SolarisAI. Video by UQ

Transcript

00:00 Solar farms have hundreds and thousands of panels, sometimes millions of panels.

00:03 It's impractical to install monitoring infrastructure on each individual panel

00:07 because that'll be just too costly and too complicated to manage.

00:10 It's also impractical to monitor each individual panel manually

00:15 because there are just so many of them.

00:16 So really what we need is to use the information that is available in the solar farms,

00:19 the data that is available in the solar farms,

00:21 to come up with ways to detect any underperformance and hidden faults in the sea of panels.

00:28 So Solaris AI is an all-in-one solar farm operation and maintenance system.

00:33 It is meant to detect, locate, identify any faults and underperformance issues in large solar farms.

00:40 It also tries to see if there are any trends or patterns

00:44 which indicate likelihood of occurrence of the faults in the future.

00:48 And that way we can schedule preventive maintenance work

00:52 prior to the occurrence of the fault so that any major disruptions can be avoided.

00:55 [ Silence ]