Low-Cost Software and Hardware Infrastructure for Water Quality Sensing in Indigenous Communities
| dc.contributor.advisor | Emil, Sekerinski | |
| dc.contributor.author | Tianyu, Zhou | |
| dc.date.accessioned | 2025-03-25T19:16:49Z | |
| dc.date.available | 2025-03-25T19:16:49Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Regular water-quality testing in remote locations can be expensive and complicated due to limited connectivity. This thesis tackles the issue by building a system that uses readily available sensors (pH, dissolved oxygen, conductivity, and temperature) along with an ESP32 microcontroller and LoRa modules to collect and send data over long distances. A custom mesh network protocol adapts to changing signal paths and interruptions. The backend—using Golang and InfluxDB—processes and stores time-series sensor data, while a React-based interface provides live visualizations. The modular and flexible design makes sure that the system can be tailored to different environmental conditions and adapted to incorporate new technologies. | en_US |
| dc.description.degree | Master of Science (MSc) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.description.layabstract | Water is important for human health, but remote Indigenous communities often have trouble confirming its safety. This project introduces a straightforward, cost-friendly system for continuous water quality monitoring. Off-the-shelf sensors measure pH, dissolved oxygen, conductivity, and temperature, then transmit the data using LoRa, a wireless communication method that works in areas with weak internet coverage. A simple website showing these readings in real-time makes communities respond quickly if any concerns about water quality arise. This system ensures continuous water monitoring by minimizing costs and technical barriers and effectively safeguards local water supplies. This project wants to protect Indigenous communities by providing real-time access to important water quality information, helping them manage and protect their water resources. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/31430 | |
| dc.language.iso | en | en_US |
| dc.title | Low-Cost Software and Hardware Infrastructure for Water Quality Sensing in Indigenous Communities | en_US |
| dc.type | Thesis | en_US |