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Research on the Relationship between Fire Rescue Event Density and Location Based on Kriging Interpolation Model

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DOI: 10.23977/jeis.2021.060212 | Downloads: 13 | Views: 854

Author(s)

Zhenyang Li 1, Wenbo Zhang 1

Affiliation(s)

1 Nanjing Institute of Technology, School of Electric Power Engineering, Jiangsu, Nanjing, 211167

Corresponding Author

Zhenyang Li

ABSTRACT

With the development of China's socialist market economy, profound changes have taken place in many aspects of our social economy and management system. The fire department also performs administrative law enforcement functions and provides safety services for economic and social development. Firstly, the relative coordinates of each region are solved in the coordinate system according to the adjacent relationship and distance map between each region. Then, the event density is solved according to the relevant data, the spatial complexity of event density is solved by using Floyd algorithm graph theory, the data is visualized, and the spatial distribution map of event density is given. Finally, the Kriging interpolation model is established, the fitting equation between event density and location is constructed, and the spatial correlation of event density is analyzed.

KEYWORDS

Floyd algorithm, Kriging interpolation model, Fire incident density

CITE THIS PAPER

Zhenyang Li, Wenbo Zhang, Research on the Relationship between Fire Rescue Event Density and Location Based on Kriging Interpolation Model. Journal of Electronics and Information Science (2021) 6: 75-78. DOI: http://dx.doi.org/10.23977/jeis.2021.060212.

REFERENCES

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[2] Jiang Qiyuan, Xie Jinxing, ye Jun. mathematical model [M]. Higher education press
[3] Cao Haifeng. Thoughts on accelerating the construction of China's fire rescue team system in the new era [J]. Administrative reform, 2019
[4] Hu Hongda. Spatiotemporal regression Kriging method for estimating PM2.5 concentration using aerosol optical thickness remote sensing data [D]. Wuhan University, 2017
[5] Zhong Dan. Design and implementation of mine risk avoidance route decision system based on Floyd algorithm [D]. China University of mining and technology, 2019

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