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由于MOA的在线监测中周围环境（如温度，湿度，降雨等）对其测量结果有相当大的影响，所以难以正确判断其运行状态。本文将环境条件用模糊理论进行处理，根据神经网络具有高度非线性映射的能力，从而做到清晰地判定MOA运行状态，这一方法很大程度上排除了环境对测量的影响，最后给出一例用以表明这一方法的有效性。
As the surrounding environment (such as temperature, humidity, rainfall, etc.) has a considerable impact on the measurement results of MOA online monitoring, it is difficult to judge its operating status correctly. In this paper, the environmental conditions are dealt with by fuzzy theory. According to the neural network’s ability of highly nonlinear mapping, the running state of MOA can be clearly judged. This method largely eliminates the influence of environment on the measurement. Finally, an example is given To show the effectiveness of this method.