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A WATER LEAKAGE DETECTION AND PREVENTION SYSTEM FOR BUILDINGS

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A WATER LEAKAGE DETECTION AND PREVENTION SYSTEM FOR BUILDINGS

ORDINARY APPLICATION

Published

date

Filed on 23 November 2024

Abstract

The invention discloses a water leakage detection and prevention system (100) for buildings, comprising a network of sensors (10) to monitor water flow, pressure, and humidity, an IoT hub (20) for data processing and transmission, a real-time analytics module (40) for anomaly detection, an automated shut-off mechanism (50) for isolating affected zones, and a user interface (60) for alerts and control. The system ensures real-time monitoring, predictive maintenance, and water conservation, enhancing sustainability and infrastructure resilience.

Patent Information

Application ID202411091448
Invention FieldCHEMICAL
Date of Application23/11/2024
Publication Number49/2024

Inventors

NameAddressCountryNationality
Dr. GAGAN BANSALDepartment of Mechanical Engineering, Graphic Era deemed to be University, Dehradun.IndiaIndia
Dr. VARTIKA AGARWALDepartment of Computer Science & Engineering, Graphic Era deemed to be University, Dehradun.IndiaIndia

Applicants

NameAddressCountryNationality
GRAPHIC ERA DEEMED TO BE UNIVERSITY566/6, Bell Road, Society Area, Clement Town, Dehradun – 248002, Uttarakhand, India.IndiaIndia

Specification

Description:FIELD OF THE INVENTION:
The field of the invention relates to water management and building automation technologies. Specifically, it focuses on systems and methods for detecting, preventing, and managing water leakages in residential, commercial, and industrial buildings through the integration of sensor networks, real-time analytics, and automated control mechanisms.

BACKGROUD OF THE INVENTION:
Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
Water leakage is a prevalent issue that has been causing significant problems across residential, commercial, and industrial settings for decades. The consequences of undetected water leaks range from structural damage to wasted resources and financial losses. In residential buildings, even a minor leak can lead to persistent problems such as mold growth, weakened foundations, and damaged interiors. Commercial and industrial buildings face amplified risks, where water leakage can disrupt operations, destroy sensitive equipment, and cause liability issues. These challenges emphasize the importance of a robust and effective system to manage water leakage proactively.
Traditionally, water leakage detection methods have relied on manual inspection or simple alarm systems. These conventional methods are often limited in their coverage and efficiency. Manual inspections are labor-intensive, prone to errors, and usually detect leaks only after significant damage has occurred. Alarm-based systems, though a step forward, typically lack the ability to provide detailed insights or predict potential leakages. As a result, the damage caused by water leaks often goes unnoticed until it becomes severe, leading to expensive repair and restoration efforts.
The rapid advancements in technology have paved the way for more sophisticated solutions. The integration of sensor networks and data analytics has revolutionized how systems monitor and manage various aspects of building infrastructure. These technologies, when applied to water management, can address many of the limitations of traditional systems. Sensors capable of measuring flow rates, pressure levels, and humidity provide real-time insights into the condition of a building's water infrastructure. By leveraging these advancements, it is possible to create a comprehensive system that not only detects water leaks but also prevents them from causing significant damage.
Another critical aspect of water leakage management is the prevention of water wastage. Water is an increasingly scarce resource, and its conservation is a global priority. Undetected leaks contribute to a substantial loss of water over time, exacerbating the challenges of water scarcity. Moreover, the financial implications of water wastage are particularly concerning for commercial and industrial buildings, where water usage is often substantial. A system that can monitor water usage and detect leaks early can play a vital role in promoting sustainable water management.
In addition to detection and conservation, effective water management systems must incorporate predictive capabilities. By analyzing historical data, predictive algorithms can identify patterns and trends that suggest areas prone to leakage. This preemptive approach not only minimizes the risk of damage but also reduces maintenance costs by allowing targeted repairs before leaks occur. For instance, a consistent drop in pressure at a specific point in the system could indicate a potential weak spot, enabling timely intervention.
Automation and user-friendly interfaces are essential components of modern water management systems. Automated shut-off mechanisms can immediately stop the flow of water to affected areas, minimizing damage in the event of a severe leak. Such systems are particularly useful in situations where manual intervention may not be possible, such as during off-hours in a commercial building. Additionally, user-friendly mobile and web interfaces provide real-time updates and alerts, empowering users to monitor and control the system remotely. These interfaces also enhance usability, making the system accessible to a broader range of users.
Despite the availability of advanced technologies, the adoption of water leakage management systems has been relatively slow. One reason for this is the lack of systems that can seamlessly integrate with existing building infrastructure. Retrofitting buildings with advanced systems can be challenging and expensive, particularly in older structures. Therefore, a system that is modular and easily integrable is highly desirable. Such a system would not only simplify installation but also reduce the costs associated with upgrading existing infrastructure.
Another factor contributing to the slow adoption is the energy consumption of advanced systems. Many of the currently available systems require significant power to operate, limiting their feasibility in settings where energy efficiency is a priority. A system designed to be energy-efficient would address this challenge, making it more appealing to a wider audience. Energy efficiency is particularly important for commercial and industrial buildings, where operational costs are a significant concern.
The proposed solution combines the best aspects of contemporary technologies to address the limitations of traditional systems. By integrating advanced sensor networks with real-time data analytics and predictive algorithms, it offers a comprehensive solution for water leakage detection and prevention. The system is designed to be modular, energy-efficient, and easy to integrate into existing infrastructure. These features make it suitable for a wide range of applications, from small residential buildings to large industrial complexes.
Moreover, the inclusion of automated control mechanisms and user-friendly interfaces ensures that the system is both effective and accessible. Automated shut-off valves provide immediate response to severe leaks, preventing extensive damage and water loss. Meanwhile, the mobile and web interfaces enable users to monitor and manage the system conveniently, enhancing its usability.
In conclusion, the need for an advanced water leakage detection and prevention system is more critical than ever. With water scarcity becoming a pressing issue and the cost of structural damage escalating, a proactive approach to water management is essential. The proposed solution addresses these challenges by leveraging the latest advancements in technology, offering a system that is efficient, reliable, and user-friendly. By promoting early detection, conservation, and predictive maintenance, this system represents a significant step forward in the field of water management. Its adoption has the potential to transform how buildings manage water resources, contributing to sustainability and resilience in the face of growing environmental and economic challenges.

OBJECTS OF THE INVENTION:
The prime object of the invention is to provide an advanced water leakage detection and prevention system for buildings that integrates sensor networks, real-time data analytics, and automated control mechanisms to ensure effective monitoring and management of water infrastructure in residential, commercial, and industrial settings.
Another object of the invention is to enable early detection of water leaks by utilizing a network of sensors to measure water flow, pressure, and humidity levels, thereby reducing the risk of significant structural damage, water wastage, and costly repairs.
Yet another object of the invention is to incorporate automated shut-off mechanisms that can isolate affected areas in the event of a severe leak, preventing further water loss and minimizing damage to assets and building interiors.
Still another object of the invention is to utilize predictive algorithms to analyze historical data and identify trends that indicate potential leak-prone areas, enabling preemptive maintenance and reducing the likelihood of unexpected failures in the water system.
A further object of the invention is to provide a modular and energy-efficient system design that can be easily integrated into existing building infrastructures, making it accessible and cost-effective for both new constructions and retrofitted buildings.
An additional object of the invention is to enhance user experience through a user-friendly mobile and web-based interface that offers real-time notifications, monitoring, and manual control of the water system, ensuring seamless interaction and control for building occupants and managers.
Yet a further object of the invention is to promote sustainability by conserving water resources and minimizing the environmental impact of water leakage through efficient detection, prevention, and management practices.
Still a further object of the invention is to support a wide range of applications, from small residential buildings to large industrial complexes, by offering a scalable and customizable solution that meets the diverse needs of users across different settings.

SUMMARY OF THE INVENTION:
The present invention provides a comprehensive solution for water leakage detection and prevention in buildings, leveraging advanced technologies such as sensor networks, real-time analytics, and automated controls. Designed for residential, commercial, and industrial buildings, the invention ensures early detection of leaks, minimizes water wastage, and prevents damage through proactive and autonomous management of the water system.
An inventive aspect of the invention is to provide a smart network of sensors capable of monitoring water flow, pressure, and humidity levels throughout a building's infrastructure. These sensors detect even minor anomalies, enabling the system to identify potential leaks at the earliest stage, thereby preventing significant water loss and structural damage.
Another inventive aspect of the invention is to provide a central IoT hub that processes data from the sensor network in real time. This hub integrates communication modules such as Wi-Fi or Zigbee to send data to analytics systems and user interfaces, ensuring continuous monitoring and instant responses to potential issues.
Yet another inventive aspect of the invention is to provide automated shut-off mechanisms that activate when severe leaks are detected. These mechanisms isolate the affected areas by shutting off the water supply, effectively limiting water damage and minimizing the need for costly restoration.
Still another inventive aspect of the invention is to provide predictive maintenance algorithms that analyze historical data to identify trends and areas prone to leakage. By enabling preemptive repairs and maintenance, the system reduces the likelihood of unexpected failures and helps manage repair costs more efficiently.
A further inventive aspect of the invention is to provide a user-friendly mobile and web-based interface that allows users to monitor the system, receive real-time alerts, and manually control water flow. This interface enhances user accessibility and provides a seamless interaction with the system.
An additional inventive aspect of the invention is to provide a modular design that can be easily integrated into both new and existing building infrastructures. The modularity ensures flexibility in installation and scalability for applications ranging from small residential homes to large industrial complexes.
Yet a further inventive aspect of the invention is to promote energy efficiency by optimizing the operation of sensors and control mechanisms. The low-power consumption design makes the system ideal for long-term use without significantly increasing operational costs.
Still a further inventive aspect of the invention is to support sustainability by conserving water resources and reducing environmental impact. Through efficient detection and management of water leaks, the invention contributes to water conservation efforts and reduces the carbon footprint associated with water damage restoration.
This invention combines innovative features such as advanced sensor technology, real-time analytics, predictive maintenance, automated control, and user-friendly interfaces to deliver a state-of-the-art solution for water leakage detection and prevention. It addresses critical challenges in water management and offers a robust, scalable, and sustainable approach suitable for diverse building types and environments.

BRIEF DESCRIPTION OF DRAWINGS:
The accompanying drawings illustrate various embodiments of "A Water Leakage Detection and Prevention System for Buildings," highlighting key aspects of its components and operation. These figures are intended for illustrative purposes to aid in understanding the invention and are not meant to limit its scope.
FIG. 1 depicts a block diagram of a water leakage detection and prevention system, showing its sensor network, IoT hub, data analytics module, control mechanisms, and user interface, according to an embodiment of the present invention.
The drawings provided will be further described in detail in the following sections. They offer a visual representation of the water leakage detection and prevention system's components, operational flow, and integration, helping to clarify and support the detailed description of the invention.

DETAILED DESCRIPTION OF THE INVENTION:
In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
The present invention is described in brief with reference to the accompanying drawings. Now, refer in more detail to the exemplary drawings for the purposes of illustrating non-limiting embodiments of the present invention.
As used herein, the term "comprising" and its derivatives including "comprises" and "comprise" include each of the stated integers or elements but does not exclude the inclusion of one or more further integers or elements.
As used herein, the singular forms "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. For example, reference to "a device" encompasses a single device as well as two or more devices, and the like.
As used herein, the terms "for example", "like", "such as", or "including" are meant to introduce examples that further clarify more general subject matter. Unless otherwise specified, these examples are provided only as an aid for understanding the applications illustrated in the present disclosure, and are not meant to be limiting in any fashion.
As used herein, the terms ""may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. These exemplary embodiments are provided only for illustrative purposes and so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. The invention disclosed may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
Various modifications will be readily apparent to persons skilled in the art. The general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the invention. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure). Also, the terminology and phraseology used is for the purpose of describing exemplary embodiments and should not be considered limiting. Thus, the present invention is to be accorded the widest scope encompassing numerous alternatives, modifications and equivalents consistent with the principles and features disclosed. For purpose of clarity, details relating to technical material that is known in the technical fields related to the invention have not been described in detail so as not to unnecessarily obscure the present invention.
Each of the appended claims defines a separate invention, which for infringement purposes is recognized as including equivalents to the various elements or limitations specified in the claims. Depending on the context, all references below to the "invention" may in some cases refer to certain specific embodiments only. In other cases, it will be recognized that references to the "invention" will refer to subject matter recited in one or more, but not necessarily all, of the claims.
All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., "such as") provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
Various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition and persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
With reference to FIG. 1,
A water leakage detection and prevention system (100) for buildings offers a comprehensive solution for monitoring, detecting, and mitigating water leaks within residential, commercial, and industrial infrastructures. The system integrates advanced technologies, including a network of sensors (10), an IoT hub (20), a real-time analytics module (40), an automated shut-off mechanism (50), and a user interface (60), to ensure efficient and proactive management of water systems. By leveraging these components, the system addresses challenges associated with water wastage, structural damage, and high repair costs, offering a reliable and sustainable approach to water management.
The network of sensors (10) plays a central role in the system by monitoring water flow, pressure, and humidity levels throughout the building's infrastructure. Flow sensors are strategically placed at key points in the water system to measure the movement of water and detect irregularities such as continuous flow in unused areas, which may indicate leaks. Pressure sensors monitor the water pressure across different zones, identifying sudden drops that may suggest a burst pipe or a significant leak. Humidity sensors are installed in critical areas such as ceilings, walls, and floors to detect hidden moisture, which is often indicative of leaks that may not yet be visible. Together, these sensors provide comprehensive coverage and enable the system to identify potential issues in real time.
The IoT hub (20) acts as the central processing unit of the system, collecting data from the network of sensors (10) and transmitting it to the real-time analytics module (40). Equipped with communication protocols such as Wi-Fi and Zigbee, the IoT hub ensures seamless data transmission to cloud storage and connected devices. This communication capability allows for centralized monitoring and management of the water system, providing a robust foundation for the analytics and control features of the system. The modular design of the IoT hub (20) enables easy integration with existing infrastructures, making the system adaptable to both new and retrofitted buildings.
The real-time analytics module (40) processes the data collected by the IoT hub (20) to detect anomalies in water flow, pressure, and humidity levels. By employing advanced algorithms, this module identifies deviations from normal operating conditions, such as a sudden drop in pressure or an increase in humidity in a specific area. In addition to real-time detection, the analytics module incorporates predictive algorithms that analyze historical data to identify patterns and trends. These predictive capabilities enable the system to pinpoint areas prone to future leaks, allowing for preemptive maintenance and reducing the likelihood of unexpected failures. By combining real-time detection with predictive analysis, the analytics module (40) enhances the overall efficiency and reliability of the system.
The automated shut-off mechanism (50) is a critical component of the system, designed to minimize water loss and damage in the event of a severe leak. Upon detecting a significant anomaly, the analytics module (40) sends a signal to the IoT hub (20), which activates electronically controlled valves (52) in the affected zones. These valves immediately stop the flow of water to the compromised areas, preventing further leakage and mitigating the risk of structural damage. The automated shut-off feature is particularly beneficial in situations where manual intervention is not feasible, such as during off-hours in commercial or industrial settings. By providing a swift and effective response to severe leaks, this mechanism adds an essential layer of protection to the system.
The user interface (60) enhances the accessibility and usability of the system, allowing users to monitor and manage the water infrastructure through mobile and web applications. Real-time alerts notify users of detected anomalies, providing details about the location and severity of potential leaks. The interface also offers features for manual control, enabling users to override the automated system if necessary. Additionally, the interface provides visualization tools that display data analytics reports, helping users understand usage patterns and identify areas for improvement. This user-friendly design ensures that the system is intuitive and easy to use, catering to a wide range of users, including building managers, occupants, and maintenance personnel.
The system is designed to be energy-efficient, with sensors (10) and automated mechanisms (50) optimized for low power consumption. This feature ensures long-term operation without significantly increasing energy costs, making the system suitable for applications in both residential and commercial settings. By minimizing energy usage, the system not only reduces operational expenses but also aligns with sustainability goals, promoting environmentally responsible water management practices.
The modular design of the system allows for seamless integration into existing water infrastructures, making it adaptable to buildings of various sizes and complexities. Whether installed in a small residential home or a large industrial complex, the system provides scalable solutions that meet the unique needs of each setting. The modularity also simplifies the installation process, reducing costs and time associated with retrofitting older buildings.
One of the most innovative features of the system is its predictive maintenance capability. By utilizing machine learning techniques, the predictive algorithms in the analytics module (40) continuously improve their accuracy in identifying potential leak-prone areas. These insights enable targeted maintenance efforts, reducing the frequency and cost of repairs while extending the lifespan of the water infrastructure. For instance, historical data may reveal consistent pressure drops in a specific pipeline, prompting preemptive inspections and repairs before a leak occurs.
The system also includes data encryption and authentication protocols to ensure secure communication and data integrity across the IoT network. This security feature protects sensitive information and prevents unauthorized access, making the system reliable and trustworthy for users. By prioritizing data security, the system addresses concerns related to privacy and cyber threats, ensuring safe and uninterrupted operation.
Therefore, the water leakage detection and prevention system (100) offers a state-of-the-art solution for managing water infrastructure in buildings. Through its network of sensors (10), IoT hub (20), real-time analytics module (40), automated shut-off mechanism (50), and user interface (60), the system provides comprehensive coverage, efficient detection, and proactive prevention of water leaks. Its energy-efficient design, modularity, and predictive capabilities make it suitable for diverse applications, from residential homes to industrial complexes. By addressing critical challenges such as water wastage, structural damage, and high repair costs, the system represents a significant advancement in water management technology, contributing to sustainability and resilience in modern building infrastructures.

The working of the water leakage detection and prevention system for buildings involves a synchronized operation of its components to monitor, detect, and manage water infrastructure effectively. The system's operation is designed to minimize water wastage, prevent structural damage, and ensure timely interventions in case of leaks.
The system begins with the network of sensors (10), which are strategically placed throughout the building's water infrastructure. Flow sensors monitor the movement of water within pipelines and detect irregularities such as unexpected flow in inactive areas, which may indicate leaks. Pressure sensors continuously measure water pressure across different sections of the system. A sudden drop in pressure often signifies a burst pipe or significant leakage. Humidity sensors are installed in critical areas such as ceilings, walls, and floors to identify hidden moisture, providing early detection of leaks that may not be immediately visible. These sensors operate in real-time, constantly collecting data on water flow, pressure, and humidity levels.
The data gathered by the sensor network is transmitted to the IoT hub (20), which serves as the central processing and communication unit of the system. The IoT hub collects the data from all sensors and processes it for initial analysis. Equipped with communication modules such as Wi-Fi or Zigbee, the hub seamlessly transfers this data to the real-time analytics module (40) and cloud storage. The IoT hub ensures uninterrupted connectivity and enables centralized monitoring of the entire water infrastructure. Its modular design allows the system to be easily integrated into existing building infrastructures, making it adaptable for various applications.
Once the data reaches the real-time analytics module (40), it undergoes detailed analysis to detect anomalies. The analytics module uses advanced algorithms to identify deviations from normal operating conditions, such as irregular flow patterns, pressure drops, or unexpected increases in humidity. These anomalies are flagged as potential leaks, and the system generates alerts for immediate action. The module also incorporates predictive algorithms that analyze historical data to identify trends and areas prone to future leaks. For example, if a particular section of the pipeline consistently shows pressure fluctuations, the predictive maintenance feature highlights it as a potential weak spot, enabling preemptive repairs.
In the event of a severe leak, the system activates the automated shut-off mechanism (50). Upon detecting a critical anomaly, the real-time analytics module sends a signal to the IoT hub, which, in turn, triggers the electronically controlled valves (52) in the affected zones. These valves promptly shut off the water supply to the compromised areas, preventing further leakage and minimizing potential damage. This automated response ensures that water loss and structural damage are contained, even in scenarios where manual intervention may not be possible, such as during off-hours or when occupants are not present.
Simultaneously, the user interface (60) provides real-time updates to building managers or occupants through mobile and web applications. Alerts are sent to the users, detailing the nature and location of the detected leak. The interface allows users to monitor the system's status, view historical data, and manually control the water supply if necessary. For instance, users can override the automated shut-off mechanism to restore water flow after verifying that the issue has been resolved. The interface also features visualizations of data analytics reports, helping users understand water usage patterns and identify areas for improvement.
The system's modular design and energy-efficient operation enhance its practicality and sustainability. The sensors and automated mechanisms are optimized for low power consumption, ensuring long-term operation without significantly increasing energy costs. This feature makes the system suitable for continuous monitoring and operation in both residential and commercial settings.
Predictive maintenance plays a critical role in the system's operation. By analyzing usage patterns and historical data, the system's machine learning-based algorithms continuously improve their accuracy in identifying potential leak-prone areas. For example, the system may detect gradual pressure drops over time in a specific pipeline, signaling a potential issue. This insight allows building managers to schedule targeted inspections and repairs before a major leak occurs, reducing maintenance costs and extending the lifespan of the water infrastructure.
The system also includes robust security measures to ensure the integrity of its operations. Data encryption and authentication protocols protect the communication between sensors, the IoT hub, and the analytics module, preventing unauthorized access and ensuring the reliability of the system.
Therefore, the working of the water leakage detection and prevention system involves a seamless integration of sensors (10), an IoT hub (20), a real-time analytics module (40), an automated shut-off mechanism (50), and a user interface (60). These components work together to provide real-time monitoring, efficient detection, automated response, and predictive maintenance capabilities. The system's proactive approach to water management ensures that leaks are addressed promptly, preventing wastage and damage while promoting sustainability and operational efficiency.

ADVANTAGES OF THE INVENTION:
The prime advantage of the invention is to provide a real-time monitoring system for water infrastructure, enabling the early detection of leaks and minimizing water wastage and structural damage in buildings.
Another advantage of the invention is its ability to employ automated shut-off mechanisms, which immediately stop water flow in affected zones, preventing further leakage and mitigating the extent of potential damage.
Yet another advantage of the invention is the incorporation of predictive maintenance algorithms, which analyze historical data to identify leak-prone areas, allowing for preemptive repairs and reducing the likelihood of unexpected system failures.
Still another advantage of the invention is its modular design, ensuring seamless integration into new or existing water systems in buildings, offering flexibility and scalability for diverse residential, commercial, and industrial applications.
A further advantage of the invention is the user-friendly interface, which provides real-time alerts, monitoring, and manual control through mobile and web applications, enhancing accessibility and usability for building occupants and managers.
An additional advantage of the invention is its energy-efficient operation, with low-power sensors and mechanisms optimized for long-term use, making it cost-effective and environmentally sustainable.
Yet a further advantage of the invention is its enhanced security features, including data encryption and authentication protocols, ensuring safe and reliable operation without risks of unauthorized access.
Still a further advantage of the invention is its ability to reduce maintenance costs by identifying potential problem areas in advance, allowing for targeted inspections and timely repairs, extending the lifespan of water infrastructure.
A significant advantage of the invention is its adaptability to various building sizes and types, from small residential homes to large industrial complexes, ensuring broad applicability and utility.
Finally, the invention promotes sustainability by conserving water resources and reducing environmental impact, aligning with global priorities for responsible water management and infrastructure resilience.
, Claims:CLAIM(S):
We Claim:
1. A water leakage detection and prevention system (100) for buildings, comprising:
a. a network of sensors (10) including flow sensors, pressure sensors, and humidity sensors strategically placed within the building's water infrastructure to monitor water flow, pressure, and humidity levels;
b. an IoT hub (20) configured to collect, process, and transmit data from the sensor network to a central analytics module (30);
c. a real-time analytics module (40) that detects anomalies in water flow, pressure, and humidity levels, indicating the presence of potential leaks;
d. an automated shut-off mechanism (50) operable to isolate affected areas upon detecting a severe leak; and
e. a user interface (60) accessible via mobile and web applications, providing real-time alerts, monitoring, and manual control of the water system.
2. The system of claim 1, wherein the automated shut-off mechanism (50) comprises electronically controlled valves (52) connected to the IoT hub to stop water flow to affected zones upon receiving a signal.
3. The system of claim 1, wherein the real-time analytics module (40) comprises predictive algorithms configured to analyze historical data and identify areas prone to future leaks for preemptive maintenance.
4. The system of claim 1, wherein the IoT hub integrates communication protocols, including Wi-Fi or Zigbee, to enable seamless data transmission between sensors, cloud storage, and user interfaces.
5. The system of claim 1, wherein the humidity sensors are placed in critical areas, such as ceilings, walls, and floors, to detect hidden moisture indicative of potential leaks.
6. The system of claim 1, wherein the system is modular in design, enabling easy integration into both new and existing building water infrastructures.
7. The system of claim 1, wherein the user interface includes features for real-time monitoring, manual control of water flow, and visualization of data analytics reports.
8. The system of claim 1, wherein the predictive algorithms utilize machine learning techniques to improve accuracy in identifying potential leak-prone areas based on usage patterns and historical data.
9. The system of claim 1, wherein the system is energy-efficient, with sensors and automated mechanisms optimized for low power consumption to ensure long-term operation.
10. The system of claim 1, wherein the IoT hub and analytics module are configured to send alerts to multiple users, including building managers, occupants, and maintenance personnel, to facilitate prompt action in case of detected leaks.

Documents

NameDate
202411091448-COMPLETE SPECIFICATION [23-11-2024(online)].pdf23/11/2024
202411091448-DECLARATION OF INVENTORSHIP (FORM 5) [23-11-2024(online)].pdf23/11/2024
202411091448-DRAWINGS [23-11-2024(online)].pdf23/11/2024
202411091448-EDUCATIONAL INSTITUTION(S) [23-11-2024(online)].pdf23/11/2024
202411091448-EVIDENCE FOR REGISTRATION UNDER SSI [23-11-2024(online)].pdf23/11/2024
202411091448-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [23-11-2024(online)].pdf23/11/2024
202411091448-FIGURE OF ABSTRACT [23-11-2024(online)].pdf23/11/2024
202411091448-FORM 1 [23-11-2024(online)].pdf23/11/2024
202411091448-FORM FOR SMALL ENTITY(FORM-28) [23-11-2024(online)].pdf23/11/2024
202411091448-FORM-9 [23-11-2024(online)].pdf23/11/2024
202411091448-POWER OF AUTHORITY [23-11-2024(online)].pdf23/11/2024
202411091448-PROOF OF RIGHT [23-11-2024(online)].pdf23/11/2024
202411091448-REQUEST FOR EARLY PUBLICATION(FORM-9) [23-11-2024(online)].pdf23/11/2024

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