AN IOT-INTEGRATED REAL-TIME SYSTEM FOR WATER QUALITY MONITORING

Abstract

The present invention relates to an IoT integrated real-time system for water quality monitoring. The system comprises an ESP32 serving as the central processing unit; integrated sensors to measures pH, temperature, TDS, and turbidity; a 9V lithium-ion battery to supply power; a Wi-Fi module; a Google server and an LCD panel to display the water quality. The traditional approach of assessing water quality involves collecting water samples, conducting laboratory tests, and analyzing the results. The present invention technique is labor-intensive, inefficient, and not cost-effective. The established water quality monitoring system assesses water quality in real time utilizing criteria such as pH, TDS, turbidity, and temperature. The project's principal purpose is to provide a dependable and efficient module for the continuous monitoring of water quality, addressing the increasing demands for sustainable public health in urban and rural regions. The present system investigates water quality monitoring metrics, their safe consumption limitations, their analysis, and the creation of an IoT-Integrated real-time system for water quality Monitoring. This system promotes the advancement of intelligent homes, workplaces, and urban areas.

Specification

Description:Field of the Invention
The present invention relates to the technical filed of water quality monitoring, more specially to Internet of Things (IoT) technologies integrated with real-time systems for monitoring water quality.
Background of the Invention
The most important element for all living things is water. Nevertheless, there is not enough clean drinking water for everyone on the planet. The largest global issue now affecting over 40% of the mankind is the scarcity of water. Water quality is a major factor in public health. More than five million individuals per year pass away from illnesses brought on by contaminated water, poor sanitation, and inadequate water for personal hygiene. Diarrhea caused by water alone accounts for nearly two million fatalities each year. The issue arises from the consumption of tainted water. One of the main issues with natural and collected water is pathogenic bacterial development. The primary factors influencing the development of microbes are water's temperature, moisture content, pH, and oxygen content. The variety of these characteristics includes both supporting and degrading the microbial development. Therefore, correct water quality monitoring is necessary for a healthy existence. Consumed water is not quality-tested, which leads to several health problems. However, a shortage of clean drinking water has a negative influence on environmental systems, buildings, and the effects of warming climates in addition to negatively affecting societal health. The latest technology is being employed in one of the primary studies being done in the water industry to investigate various elements of water quality monitoring. Due to a lack of communication between various water testing facilities, it is challenging to monitor the quality of the water in rural regions.
Existing literature highlights various systems and technologies aimed at improving water quality supervising. For instance, several studies have explored the use of IoT-enabled devices for real-time water quality valuations. Sharma et al. (2018) developed a water quality monitoring system based on IoT that integrates sensors for measuring parameters such as pH and turbidity, facilitating immediate data transmission to a cloud platform. Similarly, Vashisht et al. (2018) demonstrated the effectiveness of using Arduino board to monitor water quality, emphasizing the advantages of automated systems in reducing manual labour with fewer sensors. Other research has focused on the specific challenges faced in rural and urban settings, where conventional monitoring techniques are often inadequate. Balaji and Prabhu (2019) illustrated how real-time monitoring systems could enhance data accuracy and accessibility, thus promoting better public health measures. Despite these advancements, many existing solutions still require complex setup, lack user-friendly interfaces, or do not provide comprehensive monitoring across multiple parameters.
The present invention addresses the inefficiencies and limitations of traditional water quality testing methods, which typically involve collecting water samples for laboratory analysis. This conventional approach is not only time-consuming but also resource-intensive, requiring significant manpower and leading to delays in obtaining results. In many cases, the inability to monitor water quality in real time can pose serious public health risks, particularly in urban and rural areas where access to clean water is critical.
By offering a more efficient, user-friendly, low-cost, power efficient and IoT-integrated comprehensive approach, this invention fills existing gaps in the field of water quality monitoring, providing a valuable tool for improving public health and environmental management.
Drawings
Fig.1. Block diagram of working model
Fig.2. Flowchart of monitoring system
Fig.3. Circuit diagram of developed system
Fig.4. Output on LCD panel
Fig.5. IoT based water quality measurement site
Detailed Description of the Invention
The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
In any embodiment described herein, the open-ended terms "comprising," "comprises," and the like (which are synonymous with "including," "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like. As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.
Traditional water quality testing techniques, which usually entail gathering water samples for laboratory analysis, have limits and inefficiencies that the invention solves. The present invention system comprises an ESP32 microcontroller connected with the Wi-fi; four sensors connected with the microcontroller to measure the Temperature, pH, turbidity and total dissolved oxygen (TDS) in real-time; a 9V lithium-ion battery to supply power to the system; an LCD panel for displaying real-time water quality information; and a server to storage the information.
In the preferred embodiment, the LCD display shows the results of the water quality in offline mode, while the data on the Google service displays the water quality to connected devices in real time.
Temperature, pH, turbidity and total dissolved oxygen (TDS) are the four water quality characteristics that are measured by the system that has been constructed as displayed in block diagram as figure 1. Water's pH, which is a logarithmic number between 0 and 14, indicates how acidic and alkaline it is. A pH of 7 shows that the water is neutral. three water quality parameters are measured with sensors. Turbidity of water denotes to the degree of cloudiness, or the transparency drop that occurs in water. Specific water temperature instrument is utilized to measure water temperature.
The systematic block-diagram of the developed system is shown in figure 1. The ESP32 based sensors are connected to four sensors and supplied by 9V battery as presented in figure 2. Three steps are used to illustrate the planned system's process flow as depicted in figure 2. Initially, users must enter their Wi-Fi credentials by substituting the placeholders with the actual SSID and password to guarantee internet connectivity. As the system is powered up, the controller will start getting sensor data once the connection has been made with immerse of sensor nodes in water. The information is derived via sensors linked to the ESP32 board. The system is routing data to a web service that will process the incoming information. The system communicates the aggregated sensor data to the LCD and the specified server via HTTP POST requests for logging and later analysis. This efficient technique allows for real-time monitoring of water quality parameters, enabling prompt evaluations and actions for safe water management.
The developed system is used to check the quality of water of a test-site. The result obtained are displayed on LCD panel and the weblink as shown in figure 4 and figure 5.
The developed system distinguishes itself through several key innovations:
• Real-Time Monitoring: In contrast to conventional approaches that depend on intermittent sampling, this system provides continuous monitoring, facilitating immediate access to water quality data.
• Multifactorial Analysis: By incorporating four sensors of pH, TDS, turbidity, and temperature (four water quality data) measurement, the system delivers an all-encompassing evaluation of water quality within a singular apparatus.
• Intuitive Interface: The integration of an LCD display for prompt response and cloud-based access via a web-server enhances accessibility and functionality.
• Power Efficiency: Employing a lithium-ion battery guarantees the system's functionality in diverse environments, including remote locations with unreliable power sources.
• Improved Public Health Applications: The design precisely addresses the needs of both urban and rural areas, tackling the vital issue of sustainable public health through proactive water quality management.

, Claims:1. A real-time water quality monitoring system, comprising
an ESP32 microcontroller connected with the Wi-fi; four sensors connected with the microcontroller to measure the Temperature, pH, turbidity and total dissolved oxygen (TDS) in real-time; a 9V lithium-ion battery to supply power to the system; an LCD panel for displaying real-time water quality information; and a server to storage the information.
Wherein
the LCD display shows the results of the water quality in offline mode, while the data on the Google service displays the water quality to connected devices in real time.
2. The real-time water quality monitoring system as claimed in the claim 1, wherein the process to measure the water quality comprises the following steps:
• Step 1: users must enter their Wi-Fi credentials by substituting the placeholders with the actual SSID and password to guarantee internet connectivity;
• Step 2: As the system is powered up, the controller will start getting sensor data once the connection has been made with immerse of sensor nodes in water;
• Step 3: Sensors date is routing to a web service that will process the incoming information; and
• Step 4: system communicates the aggregated sensor data to the LCD and the specified server via HTTP POST requests for logging and later analysis.
3. The real-time water quality monitoring system as claimed in the claim 1, wherein system is used to check the quality of water of a test-site.
4. The real-time water quality monitoring system as claimed in the claim 1, wherein system is cost-effective and produces quick monitoring results.
5. The real-time water quality monitoring system as claimed in the claim 1, wherein device is providing remote-connectivity and ease-to-access water quality monitoring data.

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