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Solid state power is one of the most important part of the bridge-born equipment on airport. By structuring the model of error diagnosis prediction and the collecting node of safety monitoring information with the data mining software, frequent errors appearing on solid state power can be effectively avoided. The frequent errors will usually arose a series of problems, including low utilization rate, long repair rate time and severely economic losses and so on. By measuring on the basis of online database, it can be concluded that the obvious characteristics emerge in predicting the future state of static power. Moreover, what is the comprehensively optimal algorithm can effectively predict the future state of static power and make the real-time error prediction come true. Furthermore, the model can provide error solution with direction and goal. Finally, it gets the purpose that economic losses can be reduced to maximization.