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A novel automated framework for water impurity detection

机译:一种用于水杂质检测的新型自动化框架

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Abstract 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.
机译:摘要提出的工作涉及开发六角形环形结构的光子传感器的算法和计算机模拟,用于检测有害水杂质。光学传感器环结构用于检测杂质,如铅,DDT,氯,PCB,砷,汞,氟化物,铝。针对不同的水杂质研究了两种类型的感测结构之间的比较。观察到设计的光学传感器正在为e提供更多幅度变化。 G 1.7对于引线杂质,与基于MZI的光学传感器相比,输出值为0.4并提供快速适当的输出。为设计的传感传感器获得350nm / Riu和Q系数的灵敏度。结果显示了未来可行的制造可能性,用于传感应用。在饮用水应用中检测杂质中具有巨大潜在应用的工作。

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