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The monitoring equipment of forest fire prevention usually needs all-weather supply of electric power. But most of solar power systems applied in forest fire prevention use fixed-mounted solar panels. This problem results in low efficiency of electricity generation. Thus the area of solar panels has to increase to meet electricity demand of the equipment. An all-weather automatic solar tracking method was proposed, which combined the photoelectric detection and the solar trajectory tracking modes. The method used a sunlight intensity sensor to estimate weather conditions firstly. Then it utilized a solar position sensor and a solar trajectory algorithm to determine the changes of solar position. Finally, different tracking models were taken to track the sun in sunny, cloudy and rainy days. Through simulation experiments, this method could effectively reduce the impact of weather change and ensure to track the sun stably and accurately all weather.