Abstract
According to the propagation characteristics of big data for wildfire hazard prevention for power grid, the framework of big data platform is proposed in this paper. Internal relation between wildfire occurrence probability and the key meteorological factors like relative humidity, average daily precipitation, daily average temperature and daily extreme wind speed are unveiled through correlation analysis method. Wildfire hazard prevention system for power grid is established based on big data mining techniques. The above studies have already being successfully used in wildfire hazard prevention for provinces suffering from serious wildfire hazards of state grid corporation of China (SGCC) and is playing an important role in overcoming the wildfire for power grid.
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