Sensor Integration: Integrate various sensors to collect data on water flow, pressure, quality, level, and usage from different points in the water distribution network.
Real-Time Monitoring: Continuously monitor water parameters such as flow rates, pressure levels, water quality (e.g., turbidity, pH, chemical contaminants), and reservoir levels.
Data Processing and Analysis
Data Aggregation: Aggregate data from multiple sensors and sources to provide a comprehensive view of the water management system.
Data Analysis: Analyze collected data to identify patterns, detect anomalies, and generate insights into water usage and system performance.
Predictive Analytics: Use predictive models to forecast water demand, detect potential issues (e.g., leaks), and optimize resource allocation.
Control and Automation
Automatic Controls: Implement automated control mechanisms to regulate water flow, manage reservoir levels, and adjust pump operations based on real-time data and analysis.
Alert Systems: Generate automated alerts for critical conditions such as leaks, equipment failures, or deviations from normal operating parameters.
User Interaction
Dashboard: Provide a user-friendly dashboard for visualizing real-time data, historical trends, and system alerts.
Control Interface: Allow users to manually control and adjust system settings, such as opening or closing valves, based on system feedback and analysis.
Reporting and Visualization
Reports: Generate detailed reports on water usage, system performance, and maintenance activities. Provide customizable report templates for different user needs.
Visualization Tools: Include charts, graphs, and maps to visualize data trends, system status, and geographic information related to water management.
Integration and Compatibility
System Integration: Integrate with existing water management infrastructure, such as SCADA systems, GIS platforms, and enterprise resource planning (ERP) systems.
API Support: Provide APIs for integration with third-party applications and data sources.
Maintenance and Support
Diagnostic Tools: Include tools for diagnosing system issues, performing routine maintenance, and updating firmware or software.
User Support: Offer helpdesk support, training, and documentation to assist users in operating and maintaining the system.
Data Management
Data Storage: Securely store collected data, including real-time and historical data, with backup and recovery options.
Data Privacy: Ensure that user and system data are handled securely, with appropriate measures for data encryption and access control.
Non-Functional Requirements
Performance
Response Time: Ensure low latency in data processing and response to system commands to provide timely updates and control.
Scalability: Support scalability to handle increasing numbers of sensors, data points, and users as the system expands.
Reliability
System Uptime: Maintain high system availability with minimal downtime, ensuring continuous monitoring and control.
Fault Tolerance: Implement mechanisms to detect and recover from failures or anomalies to ensure consistent operation.
Usability
User Interface: Design an intuitive and accessible user interface that allows users to easily interact with the system and interpret data.
Accessibility: Ensure the system is usable by individuals with varying levels of technical expertise and accessibility needs.
Security
Data Encryption: Encrypt data during transmission and storage to protect against unauthorized access and breaches.
Access Control: Implement robust authentication and authorization mechanisms to secure user access and control system functionalities.
Maintainability
Code Quality: Maintain a well-documented, modular, and maintainable codebase to facilitate updates, troubleshooting, and ongoing development.
Update Management: Provide a structured process for deploying updates and patches with minimal disruption to system operations.
Compatibility
Hardware Compatibility: Ensure compatibility with various sensor types and hardware components used in the water management system.
Software Compatibility: Ensure the system integrates effectively with existing software platforms and infrastructure.
Compliance
Regulatory Compliance: Adhere to relevant regulations and standards related to water management, data protection, and environmental impact.
Industry Standards: Follow best practices and industry standards for IoT and water management systems.
Backup and Recovery
Data Backup: Implement regular backups of system data, including sensor data, configurations, and user settings.
Disaster Recovery: Develop and maintain a disaster recovery plan to restore system functionality and data in case of major failures or emergencies.
