射频识别
超高频
生活污水管
雨水
吞吐量
鉴定(生物学)
计算机科学
工程类
无线
实时计算
电信
计算机安全
环境工程
地表径流
生态学
植物
生物
作者
Sundra R. Tatiparthi,Yashika G. De Costa,Colin Whittaker,Shihu Hu,Zhiguo Yuan,Ray Y. Zhong,Wei‐Qin Zhuang
出处
期刊:Water Research
[Elsevier BV]
日期:2021-04-05
卷期号:198: 117107-117107
被引量:29
标识
DOI:10.1016/j.watres.2021.117107
摘要
Sanitary and stormwater sewers are buried assets that play important roles in the prevention of diseases and the reduction of health risks for our societies. Due to their hidden nature, these assets are not frequently assessed and maintained to optimal conditions. The lack of maintenance can cause sewer blockages and overflows that result in the release of pathogens into the environment. For cities, monitoring sewer conditions on a large-scale can be costly, time-consuming, and labor-intensive if using current low-throughput technologies, such as dye testing or closed-circuit television. Alternatively, smart sensor systems can provide low-cost, high-throughput, and automatic data-driven features for real-time monitoring applications. In this study, we developed ultrahigh-frequency radio-frequency identification (UHF RFID)-based sensors that are flushable and suitable for sanitary and stormwater pipes quick surveys. 3D printed RFID sensors were designed to float at the water-air interface and minimize the water interference to RF signal communications. The optimal detection range was also determined to support the design and installation of the reader in various utility holes. Field trials demonstrated that the UHF RFID system is a low-cost, high-throughput, and robust solution for monitoring blockage, illicit-connection, and water flow in sewer networks.
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