Mountain fire disaster early-warning method for overhead power transmission line
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 cellular transformation rules in early warning areas, implement cellular automata in MATLAB R2012a, and realize spatiotemporal prediction of wildfire spread. Then predict the time when the wildfire spreads to the overhead line, and evaluate the risk of the overhead line.
[0071] Variables that imply geographic gradients such as terrain roughness are included in the fitted model, which can reduce the spatial dependence of the data. In addition, during the construction of the random forest, each regression tree has been sub-sampled (approximately 66% of the data is used each time), which further reduces the spatial dependence of the data. A total of 500 regression trees were built in the random forest fitting process, because we found that more than 500 regression trees did not effectively improve the fitting accuracy. Three variables were randomly used for data division each time. The minimum number of nodes adopts the d...
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