Home > Research > Publications & Outputs > Optimisation of tower site locations for camera...

Research

Electronic data

Links

Text available via DOI:

Keywords

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Optimisation of tower site locations for camera-based wildfire detection systems. / Heyns, A.; Du Plessis, W.; Kosch, M. et al.
In: International Journal of Wildland Fire, Vol. 28, No. 9, 20.08.2019, p. 651-665.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Heyns, A, Du Plessis, W, Kosch, M & Hough, G 2019, 'Optimisation of tower site locations for camera-based wildfire detection systems', International Journal of Wildland Fire, vol. 28, no. 9, pp. 651-665. https://doi.org/10.1071/WF18196

APA

Heyns, A., Du Plessis, W., Kosch, M., & Hough, G. (2019). Optimisation of tower site locations for camera-based wildfire detection systems. International Journal of Wildland Fire, 28(9), 651-665. https://doi.org/10.1071/WF18196

Vancouver

Heyns A, Du Plessis W, Kosch M, Hough G. Optimisation of tower site locations for camera-based wildfire detection systems. International Journal of Wildland Fire. 2019 Aug 20;28(9):651-665. Epub 2019 Aug 20. doi: 10.1071/WF18196

Author

Heyns, A. ; Du Plessis, W. ; Kosch, M. et al. / Optimisation of tower site locations for camera-based wildfire detection systems. In: International Journal of Wildland Fire. 2019 ; Vol. 28, No. 9. pp. 651-665.

Bibtex

@article{92748de646da4e83a14b9e73b8ae8b9e,
title = "Optimisation of tower site locations for camera-based wildfire detection systems",
abstract = "Early 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.",
keywords = "facility location, maximal cover, NSGA-II",
author = "A. Heyns and {Du Plessis}, W. and M. Kosch and G. Hough",
year = "2019",
month = aug,
day = "20",
doi = "10.1071/WF18196",
language = "English",
volume = "28",
pages = "651--665",
journal = "International Journal of Wildland Fire",
number = "9",

}

RIS

TY - JOUR

T1 - Optimisation of tower site locations for camera-based wildfire detection systems

AU - Heyns, A.

AU - Du Plessis, W.

AU - Kosch, M.

AU - Hough, G.

PY - 2019/8/20

Y1 - 2019/8/20

N2 - Early 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.

AB - Early 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.

KW - facility location

KW - maximal cover

KW - NSGA-II

U2 - 10.1071/WF18196

DO - 10.1071/WF18196

M3 - Journal article

VL - 28

SP - 651

EP - 665

JO - International Journal of Wildland Fire

JF - International Journal of Wildland Fire

IS - 9

ER -