Piyush Agade, E. Bean, R. Dean, David M. Blersch, Jose Vasconscelos, T. Knappenberger, E. Brantley
{"title":"GatorByte: A Water-Quality Mapping Buoy for Locating Watershed Pollution Sources","authors":"Piyush Agade, E. Bean, R. Dean, David M. Blersch, Jose Vasconscelos, T. Knappenberger, E. Brantley","doi":"10.1109/SENSORS52175.2022.9967172","DOIUrl":null,"url":null,"abstract":"Currently, many available water resource monitoring systems and data loggers can be cost-prohibitive and are limited in spatial scale. These systems are frequently deployable as unattended stations or used as a handheld device. Hence, locating pollutant sources is difficult and relies on inference and watershed modeling. GatorByte is a mobile water-quality monitoring platform for collecting spatiotemporal water quality data. The GatorByte platform includes a data logger, a cloud-based server, and visualization tools. It uses low-cost sensors, components, a 3D-printed enclosure, and a Printed Circuit Board. The data logger uses a 4G-capable Arduino for real-time reporting of the sensor data. Currently, the GatorByte houses sensors for measuring pH, temperature, dissolved oxygen, and electroconductivity. The data logger also includes micro-SD storage and a Bluetooth module for on-field diagnostics. The buoy includes a GPS module for recording the location for every set of sensor readings and tracking the buoy in real-time. Using GatorByte, recording of variations in water quality data in both temporal and spatial dimensions can be achieved in a cost-effective and reliable manner, enabling quick detection and resolution of pollution events.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"311 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS52175.2022.9967172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Currently, many available water resource monitoring systems and data loggers can be cost-prohibitive and are limited in spatial scale. These systems are frequently deployable as unattended stations or used as a handheld device. Hence, locating pollutant sources is difficult and relies on inference and watershed modeling. GatorByte is a mobile water-quality monitoring platform for collecting spatiotemporal water quality data. The GatorByte platform includes a data logger, a cloud-based server, and visualization tools. It uses low-cost sensors, components, a 3D-printed enclosure, and a Printed Circuit Board. The data logger uses a 4G-capable Arduino for real-time reporting of the sensor data. Currently, the GatorByte houses sensors for measuring pH, temperature, dissolved oxygen, and electroconductivity. The data logger also includes micro-SD storage and a Bluetooth module for on-field diagnostics. The buoy includes a GPS module for recording the location for every set of sensor readings and tracking the buoy in real-time. Using GatorByte, recording of variations in water quality data in both temporal and spatial dimensions can be achieved in a cost-effective and reliable manner, enabling quick detection and resolution of pollution events.