Abstract
As one of the mainstream sensing methods in the field, optical sensing has the characteristics of non-contact, anti-interference and fast transmission. The combination of multi-channel sensing and optical detection technology can realize multi-dimensional and multi-parameter detection in real-time. In this paper, we propose a portable multi-channel optical sensing system with compact structure, low cost, low detection limit and strong anti-interference ability for the detection of heavy metal concentration in water environment. A detection system based on back propagation neural network is designed, and a series of algorithms and related optical paths are used to achieve online simultaneous detection and calculation of different ion concentrations in mixed solutions. The neural network algorithm is introduced in the system to reduce the error, and improves the detection efficiency of mixed ion concentration, and further improves the detection performance of the system. It has unique advantages in the field of concentration measurement for mixed ion solutions.
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