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介绍了一种基于多指示剂的离子识别器。该识别器与人工神经网络光谱处理技术相结合 ,能有效扩大传统指示剂对离子的敏感范围 ,克服目前光纤化学传感器普遍存在的识别范围较小的缺点。以pH检测为例 ,对识别器的性能和实验结果作了讨论。
An ionizer based on multi-indicator is introduced. The combination of this recognizer and artificial neural network (SPN) spectral processing technology can effectively expand the sensitive range of traditional indicator to ions and overcome the shortcomings of the current identification range of fiber chemical sensors. Taking pH detection as an example, the performance of the recognizer and the experimental results are discussed.