In recent years, increasingly severe wildfires have posed a significant threat to the safe and stable operation of transmission lines. Wildfire risk assessment and early warning have become an important research topic in power grid risk assessment. This study proposes a fire prediction model on the basis of the CatBoost algorithm to effectively predict the fire point. Five wildfire risk factors, including vegetation factors, meteorological factors, human factors, terrain factors, and land surface temperature, were combined using the feature selection method on the basis of the gradient boosting decision tree model and principal component analysis to achieve dimensionality reduction of redundant data and create a fire prediction model. The MODIS fire point product is used as the model evaluation data. The verification result uses the AUC value as the evaluation factor. The accuracy of the model is 0.82, and the AUC value is 0.83. The obtained fire point evaluation results are in good agreement with the actual fire points. Results show that this model can effectively predict the risk of wildfires.

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Summary In order to improve the ability of inheritance and protection of national sports, the association data mining model of inheritance and protection of national sports is proposed based on feature extraction of association rules. In this article, a new neural fuzzy normal form system is designed, which can perform both feature analysis and SI(sine) integration. The time series analysis model of the inheritance and protection correlation data in the national sports are constructed, the overall frame model of the inheritance and protection correlation data mining in the national sports is designed. The ability of adaptive data fusion and feature registration is improved. The simulation results show that the proposed method has good accuracy and strong ability of feature matching in the correlation data mining of inheritance and protection in national sports, and it can improve the function of inheritance and protection of national sports.

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Asphalt concrete pavement is characterized by convenient construction and maintenance, ride comfort, low noise, and strong adaptation and coordination deformation. Therefore, it has been gradually used in civil aviation transport airport runway, especially in recent years, the proportion of runways used in large hub airports has increased. However, asphalt concrete pavement also has many issues that is not conducive to the security of airport operation and management under the influence of traffic load, natural environment, and material performance. This paper analyzes and studies the causes and countermeasures of the damages through the investigation of several cases of asphalt concrete pavement damages in China, so as to provide reference for the extensive application and maintenance management of asphalt concrete pavement in airports in the future.