Description:1
FORM 2
THE PATENTS ACT 1970
(39 of 1970)
&
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
1. TITLE OF THE INVENTION
A SYSTEM FOR REAL-TIME DETECTION AND MONITORING OF WATER POLLUTANTS
2. APPLICANT
(i) NAME : G D Goenka University
(ii) NATIONALITY : Indian
(iii) ADDRESS : Sohna Gurugram Road, Sohna, Haryana, India, 122103
(i) PREAMBLE TO THE DESCRIPTION
COMPLETE
The following specification particularly describes the invention and the manner in which it is to be performed.
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A SYSTEM FOR REAL-TIME DETECTION AND MONITORING OF WATER POLLUTANTS
TECHNICAL FIELD
[0001] The present invention relates to a system for real-time detection and monitoring of water pollutants. Most particularly, the system aims to utilize 5 advanced sensing technology and artificial intelligence to ensure accurate and efficient identification of contaminants, enabling proactive water quality management and environmental protection.
BACKGROUND
[0002] The growing concern over water pollution has necessitated the development 10 of various water quality monitoring systems. Traditional water pollutant detection methods rely heavily on manual sampling and laboratory analysis, which are time-consuming, labor-intensive, and often not feasible for real-time monitoring. These conventional methods are typically expensive and require specialized equipment and expertise, leading to delayed results and limited deployment, especially in 15 remote or resource-limited areas. Consequently, the existing systems fail to provide timely data, which is crucial for immediate intervention and mitigation of pollution incidents.
[0003] Automated water quality monitoring systems have been introduced to address these limitations. These systems often use sensors to measure various water 20 quality parameters such as pH, turbidity, dissolved oxygen, and specific contaminants like heavy metals and organic pollutants. Despite these advancements, many automated systems still suffer from several critical drawbacks. Firstly, the accuracy and reliability of sensor-based measurements can be compromised by biofouling, sensor drift, and interference from other substances 25 in the water. This leads to frequent maintenance requirements and recalibration, increasing operational costs and reducing the overall effectiveness of the monitoring system.
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[0004] Another significant drawback is the limited scope of detection. Most current systems are designed to monitor specific parameters or a limited range of pollutants, which might not provide a comprehensive picture of water quality. Additionally, the data collected from these sensors often require manual processing and analysis, leading to delays in obtaining actionable insights. This delay can be detrimental in 5 situations where immediate action is required to prevent the spread of pollution or mitigate its effects.
[0005] Moreover, the integration of these systems with modern technologies like the Internet of Things (IoT) is still in its nascent stages. While IoT-enabled devices have improved remote monitoring capabilities, they often face challenges related 10 to data security, network reliability, and scalability. The sheer volume of data generated by continuous monitoring also poses a challenge for real-time analysis and decision-making, as existing systems lack robust data processing and analytics capabilities.
[0006] IoT based solutions have shown promise in enhancing the capabilities of 15 water quality monitoring systems. Machine learning algorithms can be trained to predict pollution trends, identify contamination sources, and optimize monitoring strategies. However, the adoption of IoT in water quality monitoring has been slow due to the lack of standardized datasets, the need for high computational power, and the complexity of developing accurate predictive models. Additionally, the 20 integration of IoT with sensor networks requires sophisticated software and hardware infrastructure, which can be costly and difficult to implement in large-scale deployments.
[0007] Furthermore, many existing water quality monitoring systems are not designed with scalability in mind. They often rely on centralized data processing, 25 which can lead to bottlenecks and single points of failure. In contrast, a decentralized approach, where data processing is distributed across multiple nodes, can enhance the resilience and efficiency of the system. However, implementing such an architecture presents its own set of challenges, including synchronization
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of data across nodes, ensuring data integrity, and maintaining low-latency communication.
[0008] The economic and logistical constraints also play a significant role in the limited adoption of advanced water quality monitoring technologies. Developing countries, where water pollution is often more severe, face significant challenges 5 in implementing these systems due to high costs, lack of technical expertise, and inadequate infrastructure. This disparity exacerbates the global water quality crisis, as regions most in need of effective monitoring solutions are often the least equipped to deploy them.
[0009] While existing water pollutant detection technologies have made significant 10 strides in addressing some of the challenges of water quality monitoring, they are still plagued by numerous drawbacks. These include issues related to accuracy and reliability, limited detection scope, delays in data processing, integration challenges with modern technologies, scalability concerns, and economic and logistical barriers. There is a pressing need for an innovative solution that can overcome these 15 limitations by providing real-time, accurate, and comprehensive water quality monitoring using advanced technologies such as IoT.
[0010] Thus, addressing these problems represents a system for real-time detection and monitoring of water pollutants. The system leverages advanced sensing technology to provide immediate alerts to users when water pollution is detected, 20 ensuring prompt intervention. By employing advance technology, the system can analyze data to identify the cause and source of the pollution, distinguishing between various contaminant origins such as industrial discharges or agricultural runoff. Additionally, the system features smart valves and actuators that control water flow, effectively isolating contaminated water and preventing its spread, thus 25 conserving water resources, and reducing wastage. The system comprehensive approach ensures that users are informed, pollution sources are identified, and water usage is optimized in real time.
OBJECTIVE OF THE INVENTION
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[0011] The present invention has been developed in response to the present state of the art, and in particular, in response to the problems and needs in the art that have not yet been fully solved by currently available techniques and processes.
[0012] Accordingly, the present invention pertains to a system for real-time detection and monitoring of water pollutants. Most particularly, the system aims to 5 utilize advanced sensing technology and artificial intelligence to ensure accurate and efficient identification of contaminants, enabling proactive water quality management and environmental protection.
[0013] The yet one more object of present invention has been developed a system to shows percentage of purity and levels of pollutants and detects origin of 10 pollutants.
[0014] Therefore, the current invention successfully overcoming all the above-discussed shortcomings present in the art.
[0015] The main object of the present invention is to develop the system to conserves water and prevents flow of contaminated water. 15
[0016] The main object of the present invention is to develop the system to provides real-time water quality information and enhances accuracy and efficiency of pollutant detection.
[0017] The main object of the present invention is to develop the system to alerts when pollutant levels exceed predefined thresholds. 20
[0018] Another object of the present invention is to develop the system to facilitates in different locations within water transmission unit.
[0019] The main object of the present invention is to develop the system to facilitates in different locations within water transmission unit and detects chemical pollutants. 25
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[0020] The main object of the present invention is to develop the system to detects physical properties of water, including density.
[0021] How the foregoing objects are achieved will be clear from the following brief description. In this context, it is clarified that the description provided is non-limiting and is only by way of explanation. Other objects and advantages of the 5 invention will become apparent as the foregoing description proceeds, taken together with the accompanying drawings and the appended claims.
SUMMARY
[0022] This summary is provided to introduce a selection of concepts in a simplified format that is further described in the detailed description of the 10 invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
[0023] According to an aspect of the present invention relates to a for real-time detection and monitoring of water pollutants, comprisinga first module configured 15 to be attached to a water source and detect the presence and concentration of various pollutants; a second module configured to perform real-time monitoring and display the composition of water flowing through the first module, showing the percentage of purity and the levels of pollutants present; a wireless communication module enabling the first and second modules to communicate with each other, 20 wherein the first and second modules are configured to communicate wirelessly to relay data on water quality to the user in real-time; and wherein the first and second modules can be utilized in both household and industrial settings to detect the origin of pollutants by being placed at various points along a water transmission line.
[0024] In an aspect of the invention, the first module includes; a first sensing unit 25 capable of detecting pollutants including lead, uranium, and chromium in water; a second sensing unit for determining the density and type of fluid flowing through
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the outlet; and a controller for processing data from the first and second sensing units.
[0025] In an aspect of the invention, the first module includes a user interface displaying the content of water flowing through the system, including the percentage purity and pollutant levels in real-time. 5
[0026] In an aspect of the invention, the first module is configured to control the flow of water based on the detected quality and density of the water, thereby conserving water, and preventing the flow of contaminated water.
[0027] In an aspect of the invention, the protocol of the second module processes and displays the data collected from the first component to provide real-time 10 information on water quality, including the percentage purity and specific pollutant levels.
[0028] In an aspect of the invention, the controller within the first module is integrated with Artificial Intelligence (AI) protocols to enhance the accuracy and efficiency of pollutant detection. 15
[0029] In an aspect of the invention, the data collected by the first module is to analyse water quality trends over time for specific geographical areas receiving water from common sources.
[0030] In an aspect of the invention, the protocol provides alerts and notifications to the user when pollutant levels exceed predefined thresholds. 20
[0031] In an aspect of the invention, the first module is designed to be easily attachable and detachable from various types of water outlets, facilitating in different locations within a water transmission unit.
[0032] In an aspect of the invention, the sensing module capable of detecting both chemical pollutants and the physical properties of water, including its density. 25
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[0033] To further clarify the advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be 5 described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods 10 and devices in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated 15 by those skilled in the art that disclosure of such drawings includes disclosure of electrical components, electronic components or circuitry commonly used to implement such components.
Figure 1 illustrates a block diagram of a system for real-time detection and monitoring of water pollutants in accordance with an embodiment of the invention; 20 and
Figure 1 illustrates a isometric view of the system configured with a tap in accordance with an embodiment of the invention.
[0035] Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have been necessarily been drawn to scale. 25 For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present invention. Furthermore, in terms of the construction of the device, one or more components
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of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein. 5
DETAILED DESCRIPTION OF EMBODIMENTS
[0036] For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby 10 intended, such alterations and further modifications in the illustrated device, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
[0037] It will be understood by those skilled in the art that the foregoing general 15 description and the following detailed description are explanatory of the invention and are not intended to be restrictive thereof.
[0038] Reference throughout this specification to “an aspect”, “another aspect” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one 20 embodiment of the present invention. Thus, appearances of the phrase “in an embodiment”, “in another embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
[0039] The terms "comprise", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that 25 comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by
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"comprises... a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.
[0040] Unless otherwise defined, all technical and scientific terms used herein have 5 the same meaning as commonly understood by one of ordinary skilled in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
[0041] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. 10
[0042] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0043] Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
[0044] Referring Figure 1 and Figure 2 a system for real-time detection and 15 monitoring of water pollutants. system for real-time detection and monitoring of water pollutants comprises multiple modules designed for precise and efficient analysis. The first module is configured to be attached to a water source, detecting the presence and concentration of various pollutants. The first module is equipped with advanced sensors that analyze water quality, ensuring real-time detection of 20 harmful substances. The second module is responsible for real-time monitoring and displaying the composition of the water flowing through the first module. This includes showing the percentage of purity and the levels of pollutants present, making the information easily accessible to users. Both modules are interconnected through a wireless communication system, allowing seamless data transmission and 25 real-time updates on water quality. The system is versatile and can be deployed in both household and industrial settings, providing crucial information about
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pollutant origins by placing the modules at different points along a water transmission line.
[0045] The system's first module includes a robust sensing unit capable of detecting pollutants such as lead, uranium, and chromium in water. The is complemented by a second sensing unit that determines the density and type of fluid flowing through 5 the outlet. A controller processes data from both sensing units, ensuring accurate and reliable readings. Additionally, the first module features a user interface that displays real-time data on water content, including percentage purity and pollutant levels, providing users with critical insights into water quality instantly.
[0046] The controller in the water pollutant detection system is a sophisticated unit 10 designed to handle real-time data processing and communication. It is equipped with a high-speed microprocessor capable of managing multiple data streams from various sensors. The controller includes flash memory for storing firmware and AI models, and RAM for real-time data processing. It interfaces with sensors through Analog-to-Digital Converters (ADCs) for analog sensors and digital interfaces like 15 I2C, SPI, and UART for digital sensors. An integrated wireless communication module with Wi-Fi and Bluetooth capabilities ensures seamless data transmission to the second module and other devices, secured with encryption protocols. The power management unit supports various power sources and includes power-saving modes. Additionally, the controller features a user interface with an LCD/LED 20 display and touch or button controls for easy interaction. It also includes an AI processor to run machine learning models, enhancing the accuracy and efficiency of pollutant detection
[0047] Further enhancing its functionality, the first module is equipped to control water flow based on detected quality and density. The feature helps conserve water 25 and prevents the flow of contaminated water, thereby ensuring only safe water is used. The second module processes and displays data collected from the first module, offering real-time information on water quality, including specific
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pollutant levels and percentage purity. This comprehensive data presentation helps users make informed decisions about water use.
[0048] The system's controller integrates Artificial Intelligence (AI) protocols, enhancing the accuracy and efficiency of pollutant detection. AI algorithms analyze sensor data to provide precise readings and predictive insights. Additionally, the 5 data collected by the first module is analyzed over time to identify water quality trends for specific geographical areas receiving water from common sources. This trend analysis helps in understanding and addressing long-term water quality issues.
[0049] The system also includes protocols that provide alerts and notifications to users when pollutant levels exceed predefined thresholds. These alerts ensure 10 prompt action can be taken to address water contamination. Designed for ease of use, the first module is easily attachable and detachable from various types of water outlets, facilitating deployment in different locations within a water transmission unit. Furthermore, the sensing module is capable of detecting both chemical pollutants and the physical properties of water, including its density. This dual 15 capability ensures comprehensive monitoring of water quality, making the system a vital tool for safeguarding water resources.
[0050] Additionally, a microcontroller and processor within the water pollutant detection system are designed to ensure high efficiency and accuracy in real-time monitoring. The microcontroller is equipped with a high-speed processor, capable 20 of handling multiple tasks concurrently. It includes both flash memory for storing firmware and AI models, and RAM for real-time data processing and temporary storage. The microcontroller interfaces with sensors through Analog-to-Digital Converters (ADCs) for analog sensors and digital interfaces such as I2C, SPI, and UART for digital sensors. An integrated wireless communication module supports 25 Wi-Fi and Bluetooth for seamless data transmission to the second module and other devices, with encryption protocols ensuring secure communication. The power management unit allows the microcontroller to efficiently handle various power sources, including batteries and direct power, and includes power-saving modes for
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enhanced energy efficiency. Additionally, the microcontroller features an interface with an LCD/LED display and touch or button controls, enabling user interaction and configuration.
[0051] Upon initialization, the microcontroller activates all connected sensors and establishes a wireless connection with the second module. It performs a self-5 diagnostic check to ensure all components are functioning correctly. The first sensing unit detects chemical pollutants and sends analog signals to the ADCs, while the second sensing unit measures physical properties like water density and flow type, transmitting digital data to the microcontroller. The processor then processes the incoming data in real-time, converting raw signals into meaningful 10 information. AI algorithms are employed to enhance data accuracy, filter noise, and detect specific pollutant patterns. The processed data is displayed on the user interface, providing real-time updates on water purity and pollutant levels. This information is also wirelessly transmitted to the second module for display. The microcontroller can control water flow based on detected quality and density, 15 conserving water and preventing the use of contaminated water. It also triggers alerts and notifications if pollutant levels exceed predefined thresholds, ensuring immediate user awareness. Additionally, the microcontroller logs all collected data for long-term trend analysis, helping to identify water quality trends over time for specific geographical areas. 20
[0052] While certain present preferred embodiments of the invention have been illustrated and described herein, it is to be understood that the invention is not limited thereto. Clearly, the invention may be otherwise variously embodied, and practiced within the scope of the following claims.
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Claims
We claim:
1. A system for real-time detection and monitoring of water pollutants, comprising:
a first module configured to be attached to a water source and detect 5 the presence and concentration of various pollutants;
a second module configured to perform real-time monitoring and display the composition of water flowing through the first module, showing the percentage of purity and the levels of pollutants present;
a wireless communication module enabling the first and second 10 modules to communicate with each other, wherein the first and second modules are configured to communicate wirelessly to relay data on water quality to the user in real-time; and
wherein the first and second modules provide in both household and industrial settings to detect the origin of pollutants by being placed 15 at various points along a water transmission line.
2. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module includes:
a first sensing unit capable of detecting pollutants including lead, 20 uranium, and chromium in water;
a second sensing unit for determining the density and type of fluid flowing through the outlet; and
a controller for processing data from the first and second sensing unit. 25
3. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module includes a user interface
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displaying the content of water flowing through the system, including the percentage purity and pollutant levels in real-time.
4. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module is configured to control the 5 flow of water based on the detected quality and density of the water, thereby conserving water, and preventing the flow of contaminated water.
5. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the protocol of the second module processes 10 and displays the data collected from the first component to provide real-time information on water quality, including the percentage purity and specific pollutant levels.
6. The system for real-time detection and monitoring of water pollutants as 15 claimed in claim 1, wherein the controller within the first module is integrated with Artificial Intelligence (AI) protocols to enhance the accuracy and efficiency of pollutant detection.
7. The system for real-time detection and monitoring of water pollutants as 20 claimed in claim 1, wherein the data collected by the first module is to analyse water quality trends over time for specific geographical areas receiving water from common sources.
8. The system for real-time detection and monitoring of water pollutants as 25 claimed in claim 1, wherein the protocol provides alerts and notifications to the user when pollutant levels exceed predefined thresholds.
9. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module is designed to be easily 30
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attachable and detachable from various types of water outlets, facilitating in different locations within a water transmission unit.
10. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the sensing module capable of detecting both 5 chemical pollutants and the physical properties of water, including its density.
Dated this 04/08/2024 10
GD Goenka University
APPLICANT 15
20 25 30
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ABTRACT A SYSTEM FOR REAL-TIME DETECTION AND MONITORING OF WATER POLLUTANTS
The present invention relates to a for real-time detection and monitoring of water 5 pollutants is disclosed. The system comprises a first module designed to attach to a water source for detecting the presence and concentration of various pollutants. It includes a second module capable of real-time monitoring and displaying the water composition, indicating the percentage of purity and levels of pollutants. The system also features a wireless communication module that facilitates data 10 exchange between the first and second modules, allowing real-time water quality information to be relayed to the user. The system is applicable in both household and industrial environments, enabling the detection of pollutant origins by placing the modules at multiple points along a water transmission line.
Figure 1 , Claims:We claim:
1. A system for real-time detection and monitoring of water pollutants, comprising:
a first module configured to be attached to a water source and detect 5 the presence and concentration of various pollutants;
a second module configured to perform real-time monitoring and display the composition of water flowing through the first module, showing the percentage of purity and the levels of pollutants present;
a wireless communication module enabling the first and second 10 modules to communicate with each other, wherein the first and second modules are configured to communicate wirelessly to relay data on water quality to the user in real-time; and
wherein the first and second modules provide in both household and industrial settings to detect the origin of pollutants by being placed 15 at various points along a water transmission line.
2. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module includes:
a first sensing unit capable of detecting pollutants including lead, 20 uranium, and chromium in water;
a second sensing unit for determining the density and type of fluid flowing through the outlet; and
a controller for processing data from the first and second sensing unit. 25
3. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module includes a user interface
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displaying the content of water flowing through the system, including the percentage purity and pollutant levels in real-time.
4. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module is configured to control the 5 flow of water based on the detected quality and density of the water, thereby conserving water, and preventing the flow of contaminated water.
5. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the protocol of the second module processes 10 and displays the data collected from the first component to provide real-time information on water quality, including the percentage purity and specific pollutant levels.
6. The system for real-time detection and monitoring of water pollutants as 15 claimed in claim 1, wherein the controller within the first module is integrated with Artificial Intelligence (AI) protocols to enhance the accuracy and efficiency of pollutant detection.
7. The system for real-time detection and monitoring of water pollutants as 20 claimed in claim 1, wherein the data collected by the first module is to analyse water quality trends over time for specific geographical areas receiving water from common sources.
8. The system for real-time detection and monitoring of water pollutants as 25 claimed in claim 1, wherein the protocol provides alerts and notifications to the user when pollutant levels exceed predefined thresholds.
9. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the first module is designed to be easily 30
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attachable and detachable from various types of water outlets, facilitating in different locations within a water transmission unit.
10. The system for real-time detection and monitoring of water pollutants as claimed in claim 1, wherein the sensing module capable of detecting both 5 chemical pollutants and the physical properties of water, including its density.