Research On Fluorescence Optical Fiber Measurment Technology For Identification Of Oil Type In Water Based On ARM Cortex-M3

The research focuses on the use of traditional fluorescence measurements of the basic principles, the advanced ARM embedded control technology and the latest integration of neural network algorithm.This paper studies as follows:(1) From the basic principles of the fluorescence characteristics analysis, applications, and its mathematical derivation, etc., come to the basic detection mechanism of oil in water, achieved the design of optical fiber sensor system according to the fluorescence analysis and all-fiber.(2) Design the fluorescence optical fiber measurement system of oil in water, the excitation light source uses a pulsed xenon lamp, through the optical system and the low-loss all-fiber. Three-way measurement formated: the reference light, transmitted light and reflected light. Simulation of electrical signals can be obtained through the photoelectric conversion circuit, and can be processed in the circuit.(3) It is proposed that the measurement system based on STM32F103RBT6 (the ARM Cortex-M3 processor core) processor, combined with RS-232 serial communication between PC, composed of host computer control module. It consists of A/D conversion module,LCD display module. The paper gives the detailed design of the various hardware and parts of the software code and analysis.(4) In order to further improve the accuracy of the measurement results, by comparison of algorithms, selected artificial neural network ensemble algorithm and the virtual instrument LabVIEW, combined the software platform and hardware of the measurement system, further to improve the measurement accuracy. In this paper, 6 kinds of oil spectral data practiced repeatedly by the neural network ensemble method, obtained a more robust and more accurate spectral analysis results.The system based on the molecular basis of absorption of radiation, uses fluorescent optical detection technology ,designed oil in water photoelectric detection sensors; developed the ARM Cortex-M3 core central processing platform hardware and the PC host computer control module. Compared with the traditional instruments,it has high sensitivity,good at repetition. Improved the system efficiency, accuracy and intelligence, the entire system has friendly interface, the signal operation is convenient and flexible.