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Powerline Bushfire Safety Program - Vegetation Detection Challenge

Submitted by Powerline Bushfire Safety Program on Thursday, 30th November - 0.07.

In 2017 the Victorian Government’s Powerline Bushfire Safety Program (PBSP) called on the data science and technology community for bright ideas to detect vegetation faults on powerlines to improve powerline safety and avoid potential fire risks.

The Vegetation Detection Challenge (the Challenge) made available comprehensive research data of electrical characteristics of powerline faults for three particular plant species. Four shortlisted teams extrapolated the data to develop a vegetation detection algorithm.

The full set of data, including tests for 12 vegetation species is still available for use on Data.Vic.

The Powerline Bushfire Safety Program, Research & Development team aims for this initiative to stimulate the development of existing data to be potentially turned into effective technologies for real-life application of the future.  

The best proposal in the Challenge received government support to access industry and research collaborators to aid in progressing their innovative concept to potentially develop improved detection equipment.

Watch the video to hear from the competing teams and find out who was awarded the Challenge winner.

Read the proposal summary sheets developed by the teams below. For access to the team's algorithms, please refer to the PBSP Vegetation Detection Challenge page.

If you would like to discuss the vegetation conduction ignition data with the PBSP, please email fault.signature@delwp.vic.gov.au.

Disclaimer - This material is provided as information only. The Victorian Government and this agency (Department of Environment, Land, Water and Planning):

a)   makes no warranty, either express or implied, in respect of the material, including (but not limited to) in relation to the accuracy, reliability, availability, or the currency of the material at any time, or as to its suitability for any purpose; and

b)   does not accept any liability to any person for the material, or for the information or advice provided on this website or incorporated into it by reference (or for the use of such material, information or advice). No responsibility is taken for any information or services that may appear on any linked websites.

Please note that the relevant team are the owners of intellectual property in the algorithm, which has been licensed to the State in accordance with the terms and conditions of participation in the Vegetation Detection Challenge.

If you wish to reproduce, publish, communicate to the public, adapt, modify or otherwise use the algorithm, you must first contact the relevant team.

 

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