Journal of Shandong University(Engineering Science) ›› 2019, Vol. 49 ›› Issue (1): 30-35, 40.doi: 10.6040/j.issn.1672-3961.0.2018.195

• Machine Learning & Data Mining • Previous Articles     Next Articles

Optimal deployment strategy of forest fire monitoring nodes based on visualization

Pengcheng ZHAO(),Fuquan ZHANG*(),Xubing YANG,Yin WU   

  1. College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, Jiangsu, China
  • Received:2018-05-31 Online:2019-02-20 Published:2019-03-01
  • Contact: Fuquan ZHANG E-mail:jerry19930325@163.com;zfq@njfu.edu.cn
  • Supported by:
    国家自然科学基金面上项目(31670554);江苏省自然基金项目(BK20161527);国家自然科学基金项目(31700478)

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Abstract:

Because of the high cost of forest fire monitoring sensor nodes and large deployment area, the optimization of the deployment efficiency was the main problem in application. In order to coordinate the deployment cost and coverage efficiency of nodes, a visualization-based optimal monitoring nodes deployment strategy was proposed. This strategy was based on a practical dataset from the forest environment, and made viewshed analysis of the candidate nodes. The mutual information algorithm was used to greedily select the location with the highest coverage efficiency by using the viewshed area association matrix of the nodes. The optimal number of nodes was calculated under the cost constraints by the submodular algorithm. This strategy ensured coverage efficiency, and reduced deployment cost. It was a cost-effective deployment strategy for forest fire monitoring nodes.

Key words: forest fire prevention, covering algorithm, submodular model, visualization, mutual information

CLC Number: 

  • TP399

Fig.1

View analysis of multi observation nodes"

Fig.2

Model schematic diagram"

Fig.3

Candidate point layout for sensor observation"

Fig.4

Full coverage node distribution diagram"

Table 1

Full coverage optimization results"

覆盖次数 栅格个数 比例/%
1 7 584 15.49
2 23 035 47.05
3 15 265 31.18
4 2 957 6.04
＞4 119 0.24

Table 2

Maximum coverage results under cost constraints"

传感器预算/元 覆盖栅格数 覆盖区域/% 未覆盖区域/% 一次覆盖/% 二次覆盖/%
420 000 42 018 85.82 14.18 46.71 31.66
540 000 45 317 92.68 7.32 43.39 35.19
660 000 46 196 94.35 5.65 31.33 36.93
780 000 48 458 98.97 1.03 23.42 41.35

Fig.5

Chart of coverage area, budget and number of sensors"

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