Portable Eye: IoT-Based Water Quality Monitoring Using LoRa

Abstract

This paper introduces a novel approach to monitor water quality in rural areas using LoRa[1] technology in a smart affordable device. With our small energy-efficient and scalable infrastructure, we solve the difficulties associated with setting up large-scale monitoring systems in remote areas. The gadget overcomes connectivity problems that are typical in rural areas by using Long Range (LoRa’s) communication capabilities to send data over considerable distances. To maintain precise trends and timely reactions to changes in water quality we incorporate real-time monitoring an alarm system and error logging. As its design priorities portability, low-power consumption and ease of maintenance the system can operate in a variety of environmental conditions. Our method makes use of the peer-to-peer technology of LoRa to efficiently poll nodes improving security and lowering dependency on intricate network infrastructures. An intuitive platform for data management and analysis (Grafana) is included in the implementation along with a time series database (InfluxDB). In addition to offering precise measurements of water quality, this all-inclusive solution establishes the foundation for upcoming improvements such as predictive analytics of machine learning applications. This device provides a solid foundation for enhancing water quality monitoring in under-served rural areas by striking a balance between technological innovation and practical applicability.