In order to ensure the stability of data acquisition by meteorological observationequipment, the consistency detection of the observation equipment is needed. An algorithm of association rules based on interest degree is proposed in this paper. The interest association rule mining algorithm is applied to the consistency detection of meteorological observationequipment, and the consistency model of the meteorological observing equipment can be formed. Through real data validation, it shows that the algorithm can not only excavate all the very strong rules, but also better in the time performance compared with the algorithm of nonApriori class. Through this association rule algorithm, all the correlation items are excavated to form the example base, the rule matching method is used to detect the consistency between the equipment, the optimization of the algorithm is obtained, the optimum parameter solution is given, and the equipment consistency is determined.