SMART WATER USAGE MONITORING AND COST CALCULATION SYSTEM FOR SUSTAINABLE WATER MANAGEMENT

Abstract

ABSTRACT OF THE INVENTION. This invention introduces an Al-driven diagnostic tool for assessing Dry Eye Disease (OED) and Meibomian Gland Dysfunction (MGD) using a smartphone-based system. It employs advanced deep learning techniques, utilizing MobileNetV3 for ocular image classification and LSTM networks for blink pattern analysis. A handheld infrared camera connects to the smartphone, capturing detailed images for MGD evaluation. The system also detects blink patterns using the Eye Aspect Ratio (EAR) method, providing insights into abnormal blinking associated with dry eye symptoms. Additionally, a symptom questionnaire allows users to report subjective symptoms, integrating this data with image and blink analyses to assess OED and MGD severity. This multimodal approach offers a portable, affordable, and accessible diagnostic solution, making it suitable for both patients and healthcare providers. Designed for real-time analysis, it enhances the accuracy and efficiency of diagnosing dry eye conditions, potentially improving early detection and treatment outcomes.

Specification

SUMMARY:
5 The proposed system represents a significant advancement in Smart Water Usage
Monitoring and Cost Calculation, addressing limitations faced with the ThingSpeakloT
platform. Integration of Telegram chatbots introduces new functionality and interaction,
overcoming ThingSpeak's restrictions on communication.
10 This integration allows users real-time control over the system, a feature lacking in the
previous setup. Leveraging Telegram, users can monitor parameters, set limits, and
receive alerts seamlessly, enhancing engagement and accessibility. The system's
versatility ensures adaptability to evolving user needs and technological advancements,
utilizing Telegram's updates to enhance monitoring and control capabilities.
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By integrating Telegram chatbots, the system bridges the gap between monitoring and
control functionalities. Unlike traditional systems providing data without immediate
actionability, Telegram enables users to make real-time adjustments, set limits, and
receive alerts. This comprehensive approach empowers proactive water conservation
efforts, exemplifying the system's ability to promote sustainable water management
practice.
DETAILED TECHNICAL DESCRIPTION:
In the Smart Water Usage Monitoring and Cost Calculation System, a modular design
approach is used to build a structured, adaptable system by dividing it into specific
N E modules. This design allows for each module to independently focus on core functions,
'- making the system more efficient, manageable, and scalable.
-~ Module 1 is dedicated to hardware integration, involving the setup of the ESP32 M 30 microcontroller, water flow sensors, and OLED display. The ESP32 handles data
M o processing, the sensors monitor water flow rates, and the OLED display provides
~ immediate on-device feedback on usage statistics. By isolating the hardware setup, issues
~ related to hardware can be identified and addressed without impacting the rest of the
~ system. S 35 Module 2 addresses the system's physical setup, particularly the PVC pipe fabrication and
~ flow sensor integration. By creating a robust pipe model with an embedded sensor: the
~ system accurately measures water flow. This separation enables the hardware to be
~ optimized independently, ensuring precise and reliable physical data collection.
.M... . Module 3 is responsible for software development, including the ESP32 firmware and the
~ 40 Telegram chatbot interface. The firmware facilitates efficient data handling, while the
S chatbot interface allows users to remotely monitor water usage and costs. This modular
~ software design promotes ease of testing, debugging, and future scalability, allowing
~ additional features to be seamlessly integrated
modules operate independently and can be easily updated. It also simplifies
troubleshooting and maintenance by isolating specific functionalities, facilitating
collaborative work, and ensuring the system's adaptability to new requirements. By
keeping tasks organized, modular design enables a cohesive development process,
5 allowing each module to be developed, tested, and optimized in alignment with the
system's goals. This approach not only supports current functionality but also provides a
foundation for future enhancements.
10
BRIEF DESCRIPTION OF THE DRAWING:
The proposed system architecture consists of three main components: data acquisition,
data transmission, and cloud integration. The data acquisition component is responsible ·
for collecting data from the flow sensor and converting it into a digital format. The data
transmission component is responsible for sending the data to the cloud. The cloud
15 integration component is responsible for storing the data in the cloud and providing a user
interface for visualizing the data.
The data acquisition component consists of a flow sensor and a microprocessor. The flow
sensor is responsible for measuring the flow rate of the water. The microprocessor is
20 responsible for converting the analog signal from the flow sensor into a digital signal. The
data transmission component consists of an ESP32 microcontroller. The ESP32
microcontroller is responsible for sending the data from the microprocessor to the cloud.
The cloud integration component consists of a Telegram bot, a database, and a back-end.
25 The Telegram bot is responsible for providing a user interface for visualizing the data. The
database is responsible for storing the data. The back-end is responsible for processing
the data and generating bills. The system architecture here shows the block diagram of
the proposed system .

CLAIM:
WECiaim,
Claim 1: Integrated Smart Water Monitoring System
A system for monitoring and managing water usage, comprising a flow sensor configured
to measure the flow rate of water through a pipe and ESP32 microcontroller connected to
10 the flow sensor, programmed to calculate water usage based on sensor data. It has an
OLEO display for real-time visualization of water consumption and a Telegram chatbot
interface enabling remote monitoring and control of water usage parameters through user
command. This claim covers the basic structure of the system, highlighting the integration
of hardware and software components for monitoring and controlling water usage.
Claim 2: Cost Calculation and Alert Mechanism
A cost calculation module within the ESP32 microcontroller, configured to compute the
cost of water consumption using predefined unit rates. A real-time alert system that sends
notifications via the Telegram chatbot when water usage exceeds a set threshold . This
claim emphasizes the system's ability to calculate the cost of water usage and provide
alerts to users, which encourages proactive water conservation.*
Claim 3: Modular Design for Enhanced Functionality
A separable flow sensor' module for easy maintenance and replacement and detachable
display module for user convenience. A software module with updateable firmware to
support future functionality enhancements . This claim focuses on the modular architecture
of the system, which allows for easy updates and maintenance.
Claim 4: Machine Learning Integration for Usage Prediction
A machine learning module configured to analyze historical water usage data. Predictive
analytics functionality to forecast future water consumption patterns and provide
personalized recommendations. This claim introduces the integration of machine learning
techniques to enhance the system's predictive capabilities, providing users with advanced
insights into their water consumption behavior.
Claim 5: Remote Monitoring and Control via loT Platform
The system of Claim 1, wherein the ESP32 microcontroller is integrated with an Internet of
Things (loT) platform, enabling the remote access and control of water usage settings
through a web-based interface and data synchronization and storage on a cloud server for
long-term analysis and reporting.
Claim 6: Smart Irrigation Integration
The system of Claim 1, further comprising an interface for connecting to smart irrigation
environmental conditions.
Claim 7: Community Engagement and Shared Resource Management
The system of Claim 1, wherein the Telegram chatbot interface includes features for
community engagement, comprising the shared water resource management tools for
community-based water conservation efforts. User forums and communication chinnels ·
to promote shared responsibility and collective water-saving practice

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