Optical Absorption COD Sensor for Real-Time, Low-Power-Consumption, Long-Term Monitoring

Optical Absorption COD Sensor for Real-Time, Low-Power-Consumption, Long-Term Monitoring
复制标题

光学吸收式COD传感器,可实现实时、低功耗、长期监测

DOI:
10.1109/tim.2023.3237216
复制
发表时间:
2023
影响因子:
5.6
通讯作者:
Jianjun Zhao
Jianjun Zhao
中科院分区:
工程技术2区
文献类型:
--
作者:
Yujie Yang;Yizhang Wen;Zixing He;Jianjun Zhao

文献摘要

参考文献

相似文献

与化学法相比,吸收光谱法可以实时监测化学需氧量(COD),无污染。然而,在开放水域进行低功耗、长期、快速、准确的COD监测存在重大挑战。本研究提出了一种具有低功耗、长期实时监测能力的COD传感器。灵敏度为0.0083(mg/L)$^{-1}$,分辨率为0.08mg/L,仪器一个周期的功耗约为0.0505mAh。为了提高COD传感器的测量精度,研究了温度和自然光对测量的影响,并提出了补偿方法。后湖实验结果表明,温度和自然光补偿后测量误差小于补偿前的5 mg/L,小于1.6 mg/L。
Compared with the chemical method, absorption spectroscopy can be used to measure chemical oxygen demand (COD) in real-time monitoring without pollution. However, there is a significant challenge in performing low-power-consumption, long-term, fast, and accurate COD monitoring in open waters. In this study, a COD sensor with low-power-consumption, long-term, real-time monitoring capabilities is proposed. The sensitivity is 0.0083 (mg/L) $^{-1}$ , the resolution is 0.08 mg/L, and the power consumption of the instrument in one cycle is approximately 0.0505 mAh. To improve the measurement accuracy of the COD sensor, the influence of temperature and natural light on measurements was studied, and a compensation method is proposed. Experimental results in the Back Lake indicate that measurement error is less than 1.6 mg/L after compensation of temperature and natural light compared with 5 mg/L before compensation.
DOI: 10.1145/3265639.3265649
发表时间: 2018-08
期刊: --
影响因子: --
作者:
Jiang Zhengfu;Liu Xisheng;Shi Peihua
通讯作者: Jiang Zhengfu;Liu Xisheng;Shi Peihua
DOI: 10.1016/j.ijleo.2019.04.096
发表时间: 2019-01-01
期刊: OPTIK
影响因子: 3.1
作者:
Li, Jingwei;Tong, Yifei;Li, Dongbo
通讯作者: Li, Dongbo
DOI: 10.1155/2021/6650630
发表时间: 2021-07-02
影响因子: 2
作者:
Li, Fengxiao;Tang, Bin;Zhou, Mi
通讯作者: Zhou, Mi
DOI: 10.1016/s0263-2241(00)00015-4
发表时间: 2000-10-01
期刊: MEASUREMENT
影响因子: 5.6
作者:
Charef, A;Ghauch, A;Martin-Bouyer, M
通讯作者: Martin-Bouyer, M
DOI: 10.1016/j.measurement.2018.07.081
发表时间: 2018-12-01
期刊: MEASUREMENT
影响因子: 5.6
作者:
Wen, Yizhang;Mao, Yuanfang;Wang, Xiaoping
通讯作者: Wang, Xiaoping