A mountain fire disaster early warning method for overhead transmission lines
A technology for overhead transmission lines and mountain fires, which is applied in the field of early warning of mountain fire disasters for overhead transmission lines, can solve problems such as insufficient integration and difficult time and space spread of mountain fires, and achieve reduced power outage losses, timely and effective disaster response, and chain prevention glitch effect
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[0070] Example: Realize random forest modeling, obtain the cell transformation rules of the early warning area, realize the cellular automata in MATLAB R2012a, and realize the spatiotemporal prediction of wildfire spread. Then predict the time for the wildfire to spread to the overhead line, and evaluate the risk of the overhead line.
[0071] Terrain roughness and other implicit geographic gradient variables are included in the fitting model, which can reduce the spatial dependence of the data. In addition, during the construction of the random forest, each regression tree is sub-sampled (approximately 66% of the data is used each time), which further reduces the spatial dependence of the data. In the random forest fitting process, a total of 500 regression trees were constructed. This is because we found that when it exceeds 500, more regression trees cannot effectively improve the fitting accuracy. Three variables are randomly used to divide the data each time. The minimum n...
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