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A DBMS Project which helps the water management of a household in cities which don't have a 24 Hour Water supply

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SourabhGPatil/water-management-dbms-project

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Water Management System Automation

Abstract:

In urban areas, most households depend on their local City Corporation or Water Board for water supply, which is provided according to predetermined schedules. However, any disruptions in this schedule, whether caused by technical issues or unforeseen circumstances, can lead to confusion and inconvenience for the residents. Our project addresses this challenge by automating the water supply scheduling process. Through a centralized database, users can easily access information regarding their sector's water supply schedule. Moreover, in the event of delays or changes, local officers can update the database, ensuring accurate and timely information dissemination. Additionally, the system provides features such as water bill information and contact details of the sector's water supply contractor, offering a comprehensive solution to household water supply management.

Introduction:

Municipalities bear significant responsibilities, including the management of water resources, a vital component of urban infrastructure. The efficacy of a city's water distribution system hinges on various factors, including the availability of natural resources and the efficiency of infrastructure. Our project aims to enhance the efficiency of water management by developing a centralized database system and automating billing processes for consumer convenience. Traditionally, residents must manually track water supply schedules and calculate the next supply date, often leading to confusion and inefficiency.

This project aims to develop a Water Supply Management System using Python for backend operations and Tkinter for the Frontend User Interface. The system facilitates efficient management of water supply schedules for different areas within a city, focusing on timely delivery and effective communication with residents. By providing real-time information on water supply schedules, our system enables residents to prepare accordingly, minimizing water wastage. Moreover, by consolidating billing processes into a single online platform, we streamline payment procedures, eliminating the complexities associated with traditional methods.

Existing Systems:

Currently, changes in water supply schedules are communicated through newspapers or local news channels, requiring residents to stay updated through various media channels. However, this approach could be better, as individuals may miss important updates, leading to inconvenience. Similarly, while digital payment options exist, they often need help with usability issues, complicating the billing process for consumers.

Our project addresses these shortcomings by providing a centralized platform for accessing accurate water supply information and simplifying billing procedures. By leveraging technology, we aim to enhance the efficiency and convenience of water management for urban residents.

Methodology

Tools Used

  • Python: Utilized as the primary programming language for database connectivity and backend operations.
  • SQLite3: Integrated with the inbuilt SQLite3 module of Python for database management.
  • Tkinter: Employed as the GUI toolkit to develop the frontend interface for the application.

Tables and Fields present in the database

RESERVOIR (id, Name, Water_level)
BILL (id, customer_id, Payments_Due, due_Date)
LOCALITY (sector_no, Area_Name, Water_Supply_Date, officer_id,
reservoir_id)
CUSTOMER (id, Name, Address, sector_no, officer_id, reservoir_id,
no_of_connection)

ER Diagram

image

Backend Logic

The backend logic involves the creation, manipulation, and deletion of data within the database. Key functionalities include:

  • Defining database schema and table structures.
  • Adding, viewing, and deleting records.
  • Updating water supply dates dynamically based on user-defined parameters.

Frontend Design

The frontend interface is designed using Tkinter, offering a user-friendly environment for interaction. Features include:

  • Creation of GUI elements such as buttons, text boxes, and TreeView for database representation.
  • Integration with backend functionalities for seamless data manipulation.
  • Enhanced user experience through intuitive design and layout.

Code Snippets

Backend Operations

  • Creating Officer Table: Defines the schema and structure for the 'Officer' relation in the database.
  • Adding, Viewing, and Deleting Records: Functions to perform CRUD operations on the database.
  • Updating Water Supply Dates: Automates the process of updating supply dates based on predefined rules.

Frontend Interface

  • GUI Construction: Design and layout of GUI elements using Tkinter.
  • Button Actions: Implementation of button functionalities such as adding new records and resetting data.
  • TreeView Display: Representation of database records in a TreeView format for easy viewing and management.

Conclusion and Recommendations

Conclusion

The Water Supply Management System addresses the growing challenges of water resource management by streamlining supply schedules and improving communication with residents. By leveraging technology, the system aims to optimize resource utilization and ensure equitable distribution of water.

Recommendations

  • Integration of IoT: Enhance the system by incorporating IoT devices for automated water supply management and consumption monitoring.
  • Smart Home Management: Develop features for users to monitor daily water consumption and receive alerts via a mobile application.
  • Enhanced Communication: Implement features to improve communication between water authorities and residents, ensuring timely notifications and updates.

Future Enhancements

  • Real-time Monitoring: Integrate real-time monitoring capabilities to track water usage and detect anomalies.
  • Predictive Analysis: Implement predictive algorithms to forecast water demand and optimize supply schedules.
  • Geospatial Visualization: Incorporate geospatial visualization tools for better understanding and management of water distribution networks.