Optimisation of tower site locations for camera-based wildfire detection systems

dc.contributor.authorHeyns, Andries M.
dc.contributor.authorDu Plessis, Warren Paul
dc.contributor.authorKosch, Michael
dc.contributor.authorHough, Gavin
dc.date.accessioned2020-02-24T06:59:31Z
dc.date.available2020-02-24T06:59:31Z
dc.date.issued2019-08
dc.description.abstractEarly forest fire detection can effectively be achieved by systems of specialised tower-mounted cameras. With the aim of maximising system visibility of smoke above a prescribed region, the process of selecting multiple tower sites from a large number of potential site locations is a complex combinatorial optimisation problem. Historically, these systems have been planned by foresters and locals with intimate knowledge of the terrain rather than by computational optimisation tools. When entering vast new territories, however, such knowledge and expertise may not be available to system planners. A tower site-selection optimisation framework that may be used in such circumstances is described in this paper. Metaheuristics are used to determine candidate site layouts for an area in the Nelspruit region in South Africa currently monitored by the ForestWatch detection system. Visibility cover superior to that of the existing system in the region is achieved and obtained in several days, whereas traditional approaches normally require months of speculation and planning. Following the results presented here, the optimisation framework is earmarked for use in future ForestWatch system planning.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipThe National Research Foundation (NRF) (grant specific unique reference number (UID) 85845).en_ZA
dc.description.urihttps://www.publish.csiro.au/wfen_ZA
dc.identifier.citationHeyns, A., Du Plessis, W., Kosch, M. et al. 2019, 'Optimisation of tower site locations for camera-based wildfire detection systems', International Journal of Wildland Fire, vol. 28, no. p, pp. 651-665.en_ZA
dc.identifier.issn1049-8001 (print)
dc.identifier.issn1448-5516 (online)
dc.identifier.other10.1071/WF18196
dc.identifier.urihttp://hdl.handle.net/2263/73487
dc.language.isoenen_ZA
dc.publisherCSIRO Publishingen_ZA
dc.rights© IAWF 2019en_ZA
dc.subjectFacility locationen_ZA
dc.subjectMaximal coveren_ZA
dc.subjectOptimisationen_ZA
dc.subjectTower site locationsen_ZA
dc.subjectCamera-baseden_ZA
dc.subjectWildfire detectionen_ZA
dc.subjectNon-dominated sorting genetic algorithm-II (NSGA-II)en_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.titleOptimisation of tower site locations for camera-based wildfire detection systemsen_ZA
dc.typePostprint Articleen_ZA

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