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A novel automated framework for water impurity detection
International Journal of Information Technology Pub Date : 2021-02-13 , DOI: 10.1007/s41870-020-00601-x
Afzal Shaikh , Preeta Sharan , P. C. Srikanth , Manju Devi

Proposed work involves the development of algorithm and computer simulation of a Hexagonal Ring Structure-based photonic sensor for the detection of harmful water impurities. An optical sensor ring structure is used to detect impurities such as Lead, DDT, Chlorine, PCB, Arsenic, Mercury, Fluoride, Aluminum. A comparison between two types of sensing structures is investigated for different water impurities. It is observed that the designed optical sensor is giving more amplitude variation for e. g 1.7 for lead impurities as compared to MZI based optical sensor with an output value of 0.4 and gives fast appropriate output. A sensitivity of 350 nm/RIU and Q factor of 3453 is obtained for the designed sensing sensor. The result has shown a feasible fabrication possibility in the future for sensing applications. Work carried having tremendous potential application in the detection of impurities in the drinking water application.



中文翻译:

一种新颖的水杂质检测自动化框架

拟议的工作涉及用于检测有害水杂质的基于六边形环结构的光子传感器的算法和计算机仿真的开发。光学传感器环结构用于检测杂质,例如铅,滴滴涕,氯,PCB,砷,汞,氟化物,铝。针对不同的水杂质,对两种类型的感应结构进行了比较。可以看出,设计的光学传感器为e提供了更多的幅度变化。与基于MZI的光学传感器相比,铅杂质的g值为1.7,输出值为0.4,并提供快速,适当的输出。对于设计的感测传感器,灵敏度为350 nm / RIU,Q因子为3453。结果显示出将来在传感应用中可行的制造可能性。

更新日期:2021-02-15
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