Method and system for judging stress failure inflection point of intelligent electric energy meter

The invention discloses a method and a system for judging a stress failure inflection point of an intelligent electric energy meter. The method comprises the following steps: determining typical stress of the intelligent electric energy meter; acquiring stress condition data and failure inflection point data corresponding to the typical stress; training and testing a pre-constructed CNN-LSTM network failure inflection point prediction model through the typical stress, the stress condition data and the failure inflection point data; and outputting a predicted value of the failure inflection point of the intelligent electric energy meter to be discriminated through the model. The problem of large deviation between the intelligent ammeter stress failure inflection point prediction result and the actual condition in the prior art is solved. 本发明公开了一种用于智能电能表应力失效拐点的判别方法和系统，包括：确定智能电能表的典型应力；获取所述典型应力对应的应力条件数据及失效拐点数据；通过所述典型应力、应力条件数据及失效拐点数据，对预先构建的CNN-LSTM网络失效拐点预测模型进行训练和测试；通过所述模型输出待判别的智能电能表失效拐点的预测值。解决现有技术智能电能表应力失效拐点预测结果与实