International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
HYDRAGUARD : AN INTEGRATED WATER INFRASTRUCTURE MONITORING SYSTEM Anugraha J 1, Lakshmisree S 2, Hassana K A 3, Afsal M H 4, Thasleema N U 5 1,2,3,4 UG Students, Department of Civil Engineering, Jawaharlal College of Engineering and Technology, Ottapalam,
Kerala, India
5 Assistant Professor, Department of Civil Engineering, Jawaharlal College of Engineering and Technology,
Ottapalam, Kerala, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This paper proposes an all-inclusive Internet of
providing information on acidity and suspended particle levels.
Things (IoT) solution that integrates a range of sensors and Arduino-based hardware for leak detection and water quality monitoring. The system uses pH and turbidity sensors to check water quality in real time, guaranteeing ongoing monitoring of important parameters. Water flow rates are measured with a flow sensor, and temperature fluctuations are detected with a temperature sensor (DS18B20). Using the NodeMCU platform and an Arduino microcontroller, the data gathered from various sensors is processed and sent to a central hub. Proactive reactions to variations in water quality are made possible by the IoT infrastructure, which makes remote monitoring and analysis easier. The system also includes a leak detection mechanism that allows for the early detection and control of possible leaks. The proposed solution intends to improve water quality management by offering a low-cost, real-time monitoring system capable of detecting and preventing leaks, thereby contributing to the sustainable and efficient use of water resources.
The incorporation of a flow sensor facilitates precise volume measurements, hence augmenting comprehension of water consumption trends. The temperature sensor (DS18B20) also keeps track of temperature fluctuations, which is an important aspect of water quality evaluation. When these sensors are combined with Arduino microcontrollers, a strong, data-driven ecosystem for evaluating water quality is produced. The IoT Node MCU microcontroller, which allows for smooth data transfer and communication between the sensors and a central hub, is the brains behind the system. Recognizing the importance of leak detection in water distribution systems, our solution also includes a mechanism to locate leaks and take immediate action to stop water loss and minimize damage to infrastructure. This research aims to lead to the development of more advanced, scalable, and technologically affordable water management strategies. In the end, the suggested system will be crucial in guaranteeing that there will be clean and readily available water resources for both the current and future generations. It seeks to improve the effectiveness of water distribution networks, encourage sustainable water usage, and protect water quality.
Key Words: IoT, pH and turbidity sensors , temperature sensor, flow sensor, NodeMCU, Arduino UNO Microcontroller,
1. INTRODUCTION As the world's population grows and environmental concerns grow, so does the demand for sustainable and clean water resources. This study suggests an inventive way to handle two crucial issues: leak detection and water quality monitoring - by utilizing the Internet of Things (IoT) technology. This is in response to the urgent demand for efficient management of water resources. Maintaining the sustainability of the ecosystem and public health depend heavily on the availability of pure, uncontaminated water. In order to minimize infrastructure damage and prevent water loss, leaks in water distribution systems must be promptly detected and fixed. Within this framework, our work focuses on creating a complete Internet of Things system using a variety of sensors and Arduino technologies. In order to enable real-time analysis of water quality, turbidity and pH sensors are used,
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1.1 Disadvantages of Existing System:
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Limited Accuracy: Conventional temperature sensing systems may lack the precision required for modern applications, leading to inaccuracies in temperature measurements. Lack of Real-time Data: Many existing systems provide periodic or delayed temperature readings, limiting their suitability for dynamic environments where real-time data is essential. High Power Consumption: Traditional temperature sensors may consume significant power, restricting their use in battery-operated devices and contributing to higher operational costs.
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