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Development of radio-frequency identification (RFID) sensors suitable for smart-monitoring applications in sewer systems
- Source :
- Water Research. 198:117107
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- 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.
- Subjects :
- Technology
Environmental Engineering
Float (project management)
Computer science
Water flow
Interface (computing)
0208 environmental biotechnology
Stormwater
02 engineering and technology
010501 environmental sciences
01 natural sciences
Radio-frequency identification
Sanitary sewer
Cities
Waste Management and Disposal
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
business.industry
Ecological Modeling
Pollution
020801 environmental engineering
Reliability engineering
Radio Frequency Identification Device
Identification (information)
Ultra high frequency
business
Subjects
Details
- ISSN :
- 00431354
- Volume :
- 198
- Database :
- OpenAIRE
- Journal :
- Water Research
- Accession number :
- edsair.doi.dedup.....ab05709a102651479dbc990e0f958794
- Full Text :
- https://doi.org/10.1016/j.watres.2021.117107