Remote Monitoring and Control System of a Water Distribution Network using LoRaWAN Technology

Author:

Yauri Ricardo1,Gonzales Martin2,Gamero Vanessa3

Affiliation:

1. Facultad de Ingeniería, Universidad Tecnológica del Perú, Lima, PERÚ

2. Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional Mayor de San Marcos Lima, PERÚ

3. Departamento de Engenharia de Sistemas Eletrônicos, Universidade de São Paulo, São Paulo, BRAZIL

Abstract

The problems related to the proper management and control in the distribution of potable water affect environmental sustainability generated by leaks and breaks in the infrastructure, causing leaks and loss of water. According to reports from the National Superintendence of Sanitation Services of Peru, more than 50% of complaints about the water service are related to billing problems and water leaks. It is for this reason that technologies such as the Internet of Things technology contribute to generating solutions for the automatic acquisition of data in residences and houses. That is why this paper aims to use long-range and low-power wireless communication systems to improve the service-oriented to the control of the water distribution network, monitoring of vandalism, and detection of anomalous events, reducing response time and economic losses. The paper's development methodology considers the implementation of a water controller node with flow control sensors and solenoid valves and a gateway with Lora communication. In addition, a solenoid valve control circuit and a remote visualization and control system are implemented. The results indicate that the implemented nodes allow adequate monitoring and control in real-time of the water flow, contributing to the adequate management of its consumption and supporting the detection of anomalous events using a Web application.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Reference35 articles.

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1. Analysing agricultural information through machine learning and artificial intelligence for SMART IRRIGATION;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

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