INTEGRATED CYBER-PHYSICAL SYSTEM FOR 24/7 SUSTAINABLE DRINKING WATER SUPPLY NETWORKS USING IOT, AI/ML, AND CLOUD COMPUTING

Abstract

The present invention relates to an Integrated Cyber-Physical System for 24/7 Sustainable Drinking Water Supply Networks Using IoT, AI/ML, and Cloud Computing. The present invention describes a cyber-physical system (CPS) that integrates IoT, AI/ML, and cloud computing for sustainable and secure 24/7 drinking water supply networks. By implementing real-time monitoring, predictive analytics, and automated distribution controls, this invention ensures reliable and equitable water service for diverse populations. The CPS framework incorporates cybersecurity protocols and dynamic data handling to protect against cyber threats while enabling data-driven decision-making. Designed for scalability, the system adapts to varying demand, minimizes wastage, and addresses water scarcity challenges. This invention thus represents a sustainable, resilient solution for smart cities and rural communities alike, fostering reliable water access aligned with global sustainable development goals. Accompanied Drawing [FIG. 1]

Specification

Description:[001] This invention relates to the domain of sustainable water management systems, specifically targeting 24/7 drinking water supply networks through the integration of Internet of Things (IoT), Artificial Intelligence/Machine Learning (AI/ML), and cloud computing. This invention enables real-time monitoring, management, and equitable distribution of water resources in both urban and rural areas, addressing the technological needs and challenges of implementing continuous, reliable water services.
BACKGROUND OF THE INVENTION
[002] The following description provides the 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.
[003] Water scarcity, uneven distribution, and inefficiencies in the existing public sector are critical challenges facing the drinking water sector in India. Many areas rely on irregular supply and unsustainable groundwater extraction, which exacerbates socio-economic disparities. Traditional methods for water management, which often operate in isolation, have proven inadequate for ensuring a reliable and equitable water supply. This patent proposes a demand-responsive approach (DRA), leveraging IoT and AI/ML to deliver a sustainable and smart water network.
[004] This invention's novelty lies in creating a robust cyber-physical system (CPS) that seamlessly integrates physical water distribution infrastructures with digital solutions. This system is designed to improve water service availability through real-time monitoring, dynamic distribution, and predictive maintenance, fostering resilience within water networks while promoting sustainable resource use.
[005] Accordingly, to overcome the prior art limitations based on aforesaid facts. The present invention provides an integrated Cyber-Physical System for 24/7 Sustainable Drinking Water Supply Networks Using IoT, AI/ML, and Cloud Computing. Therefore, it would be useful and desirable to have a system, method and apparatus to meet the above-mentioned needs.

SUMMARY OF THE PRESENT INVENTION
[006] This invention provides an integrated solution for establishing a 24/7 drinking water supply network that incorporates:
[007] IoT-Based Real-Time Monitoring: Advanced sensors monitor water levels, quality, and flow across reservoirs, pipelines, and end-user points, transmitting data in real-time to a central cloud platform.
[008] AI/ML-Driven Analytics: Cloud computing powers data aggregation and advanced analytics, enabling predictive maintenance, usage forecasting, and anomaly detection.
[009] Cyber-Physical Control Mechanisms: Actuators and controllers, integrated within the CPS framework, dynamically adjust distribution parameters, optimize water flow, and minimize wastage.
[010] Equitable Distribution and Demand Management: By employing a demand-responsive approach, this system supports service customization for diverse user demographics, ensuring all socio-economic groups have fair access.
[011] Enhanced Security Protocols: Comprehensive cybersecurity measures are incorporated, including protections against false data injection (FDI) and time delay switch (TDS) attacks, thus safeguarding both data integrity and network resilience
[012] In this respect, before explaining at least one object of the invention in detail, it is to be understood that the invention is not limited in its application to the details of set of rules and to the arrangements of the various models set forth in the following description or illustrated in the drawings. The invention is capable of other objects and of being practiced and carried out in various ways, according to the need of that industry. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[013] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS
[014] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
[015] Figures 1-6 represent various System architectures and schematic diagrams of an integrated Cyber-Physical System for 24/7 Sustainable Drinking Water Supply Networks Using IoT, AI/ML, and Cloud Computing, in accordance with an embodiment of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
[016] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and are not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" is used in a permissive sense (i.e. meaning having the potential to), rather than the mandatory sense, (i.e. meaning must). Further, the words "a" or "an" mean "at least one" and the word "plurality" means "one or more" unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like is included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or are common general knowledge in the field relevant to the present invention.
[017] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same composition, element or group of elements with transitional phrases "consisting of", "consisting", "selected from the group of consisting of, "including", or "is" preceding the recitation of the composition, element or group of elements and vice versa.
[018] The present invention is described hereinafter by various embodiments with reference to the accompanying drawings, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.
System Overview
[019] Cyber-Physical Integration
The CPS in this invention acts as a bridge between physical water supply infrastructure and the digital domain. This integration includes:
IoT-Enabled Devices: Sensors and actuators embedded within physical network components (such as pipes, reservoirs, and valves) facilitate continuous monitoring of water parameters like flow rate, pressure, and quality.
Communication Infrastructure: IoT devices use long-range (e.g., LTE, LTE-U) and short-range protocols (e.g., Wi-Fi, Zigbee, NB-IoT) to transmit data to a central cloud platform. This communication network forms the backbone of the CPS, allowing data from widespread locations to be aggregated seamlessly.
Real-Time Data Processing: Cloud-based data storage enables real-time analysis of collected data, which AI/ML algorithms process to optimize system performance. Predictive algorithms identify patterns in water usage and forecast demand, thereby informing distribution strategies and proactive maintenance schedules.
Water Data Acquisition and Analysis
To achieve a 24/7 sustainable water supply, the system relies on a robust data acquisition process, which includes:
Real-Time Data Collection: IoT sensors continuously measure various parameters including water pressure, turbidity, and chlorine levels. This data helps monitor both the quantity and quality of water within the distribution network.
Data Aggregation and Storage: Collected data is transmitted to a cloud platform where it is aggregated and stored for subsequent processing. This storage system uses elastic cloud architecture, allowing it to scale according to demand.
AI/ML Analytics for Predictive Maintenance: Advanced analytics detect potential issues, such as leakages or contamination, before they escalate into failures. For example, an increase in water turbidity might signal a contamination event, triggering an automated alert.
Control and Automation
The system's CPS employs automated control mechanisms for efficient distribution, including:
Dynamic Flow Control: Actuators within the network can adjust flow rates and pressures in real-time based on demand fluctuations. This ensures consistent delivery during peak hours and reduces wastage during low-demand periods.
Leakage Detection and Response: AI-driven models identify anomalies in pressure data, which could indicate leakages. Upon detection, the CPS can automatically reroute water flow to mitigate losses and notify maintenance teams for intervention.
Equitable Service Management: DRA functionality allows users to select service levels suited to their needs, ensuring fair access across socio-economic groups. The system adjusts service provision in real-time to balance water supply between high-demand and low-demand areas, prioritizing essential services.
Security and Data Integrity
Given the critical nature of water infrastructure, the CPS incorporates multi-layered cybersecurity protocols to protect data integrity and system reliability:
False Data Injection (FDI) Detection: AI algorithms analyze data patterns to detect discrepancies that may indicate malicious data tampering. The system triggers alerts for human oversight upon detecting such anomalies.
Time Delay Switch (TDS) Attack Prevention: IoT devices are configured to reject data packets with delays indicative of tampering attempts. Additionally, blockchain-based logging is used to ensure data traceability and accountability.
User Data Privacy: The system employs location obfuscation techniques to anonymize user data, protecting privacy while retaining the ability to analyze demand patterns on a large scale.
Cloud Computing for Scalability and Resilience
The system's reliance on cloud computing ensures scalability and resilience:
Elastic Resource Management: The system dynamically scales processing and storage resources based on data load. During peak times, additional computing power is provisioned to handle the influx of data without compromising performance.
Data Redundancy and Recovery: Cloud storage provides multiple redundancies, ensuring data security and continuity in case of hardware failure. Regular backups are taken, allowing rapid recovery in case of data loss.
Integration with National Data Centers: The system integrates with regional and national water resource databases, enabling comprehensive water availability assessments and facilitating coordinated responses to shortages
[020] It is to be understood that the above description is intended to be illustrative, and not restrictive. For example, the above-discussed embodiments may be used in combination with each other. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description.
[021] The benefits and advantages which may be provided by the present invention have been described above with regard to specific embodiments. These benefits and advantages, and any elements or limitations that may cause them to occur or to become more pronounced are not to be construed as critical, required, or essential features of any or all of the embodiments.
[022] While the present invention has been described with reference to particular embodiments, it should be understood that the embodiments are illustrative and that the scope of the invention is not limited to these embodiments. Many variations, modifications, additions and improvements to the embodiments described above are possible. It is contemplated that these variations, modifications, additions and improvements fall within the scope of the invention.

, Claims:1. A cyber-physical water management system leveraging IoT, AI/ML, and cloud computing to enable a sustainable 24/7 water supply, including:
Real-time monitoring through IoT sensors measuring water flow, pressure, and quality;
AI/ML-driven data processing for anomaly detection, demand forecasting, and proactive system adjustments;
Automated control via CPS actuators for adaptive distribution based on real-time conditions.
2. A method of equitable water distribution that incorporates a demand-responsive approach, ensuring user-centric service options across various demographics, achieved by:
Analyzing usage patterns to determine optimal distribution strategies;
Utilizing actuators to dynamically adjust service levels and flow rates based on demand;
Implementing a scalable cloud-based platform for data processing and storage.
3. An IoT-enabled system for detecting and responding to pipeline leakages in a water supply network, featuring:
Real-time pressure and flow monitoring;
AI-driven anomaly detection to identify and locate leaks;
Actuators to redirect water flow, mitigating loss and preventing service disruptions.
4. A CPS for real-time water quality control in distribution networks, allowing for:
Monitoring of contamination levels using sensors for parameters like turbidity and chlorine concentration;
Automatic adjustments to water treatment processes based on detected contamination levels;
User alerts and notifications for proactive response to quality issues.
5. A cybersecurity framework for a smart water supply network, comprising:
Detection of FDI and TDS attacks using machine learning models;
Blockchain-based logging for secure data traceability;
Location obfuscation and privacy protocols for user data protection.

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