智能光纤浊度传感器设计与试验
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国家国际科技合作专项(2015DFA00090)、国家重点研发计划项目(2017YFD0701702)和山东省自主创新及成果转化专项(2014ZZCX07102)


Research and Experiment of Intelligent Optical Fiber Turbidity Sensor
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    摘要:

    浊度是指水体中悬浮颗粒的含量,在水产养殖中,悬浮颗粒由大量的细菌、病原体组成,颗粒物浓度过大,易危害水生动物的生存。传统的浊度检测技术易受环境光、色度、温度等因素的影响,稳定性差、精度低。为此设计了基于IEEE1451.2的智能光纤浊度传感器,该传感器由光学检测模块、信号变送模块、智能处理模块组成。光学检测模块采用880nm红外发光二极管作为光源,采用90°散射光检测法,有效降低了色度对浊度检测的影响。信号变送模块采用正向比例积分电路、I/V转换、滤波、检波电路对采集到的散射光电流信号进行处理,得到一个线性关系良好的直流浊度电压信号。为了提高传感器的精确度,设计了基于IEEE1451.2的智能处理模块,构建了温度补偿算法,采用校正TEDS参数完成对浊度的温度补偿,提高了浊度测量的准确度。对传感器性能进行测试试验,结果表明传感器准确度误差在±1.5%以内,稳定性误差在±1.0%以内,满足水产养殖对光纤浊度传感器的需求,具有较高的可靠性。

    Abstract:

    Turbidity of water refers to the content of suspended particles which are composed by large number of bacteria and pathogens. In aquaculture, the aquatic animals are influenced by the particulate matter concentration. It is necessary to monitor the turbidity. The measurement results of traditional turbidity detectors are easily influenced by environmental light, chromaticity, temperature factors. In order to solve the problems mentioned above, the intelligent optical fiber turbidity sensor was designed and developed based on IEEE1451.2 communication protocol. The sensor was composed of photoelectric detection module, signal transmission module and intelligent processing module. In the photoelectric detection module, a 880nm infrared light emitting diode was applied as the light source, and the scattered light was measured at vertical direction which could effectively reduce the influence of chroma. In the signal transmission module,the collected scattered light current signal was processed to obtain a linear DC voltage signalwith a linear relationship by the proportional circuit, I/V conversion, filtering and detecting circuit. In order to reduce the temperature influence and improve the detecting accuracy of the sensor, an intelligent processing module was designed based on IEEE1451.2 communication protocol. The temperature compensation algorithm was proposed and the TEDS parameter was calibrated to coducte the temperature compensation of the turbidity sensor. The performance of the sensor was tested. The experimental results showed that the accuracy of the sensor was within ±1.5%, the stability error was within ±1.0%, which satisfied the requirement of aquaculture turbidity measurement.

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位耀光,张力彩,李道亮.智能光纤浊度传感器设计与试验[J].农业机械学报,2017,48(s1):199-204.

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  • 收稿日期:2017-07-10
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  • 在线发布日期: 2017-12-10
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