Data Collection: Integrate with various environmental sensors to collect data on pollutants such as particulate matter (PM2.5, PM10), gases (CO2, NO2, SO2), and other environmental parameters (temperature, humidity).
Sensor Calibration: Support calibration and maintenance of sensors to ensure accurate readings.
Data Management:
Real-Time Data Processing: Process and display real-time data from sensors, including pollutant levels and environmental conditions.
Historical Data Storage: Store historical data for long-term analysis and trend monitoring.
Data Aggregation: Aggregate data from multiple sensors and locations for comprehensive analysis.
Monitoring and Alerts:
Threshold Monitoring: Monitor pollutant levels against predefined thresholds and trigger alerts when levels exceed acceptable limits.
Notification System: Send notifications or alerts to users about pollution events, breaches, or changes in air quality.
Reporting and Analytics:
Custom Reports: Generate custom reports on pollution levels, trends, and historical data for various time periods and locations.
Visualizations: Provide visualizations such as graphs, charts, and maps to help users interpret data.
Data Export: Allow users to export data and reports in various formats (e.g., CSV, PDF).
User Management:
Registration & Authentication: Allow users to create accounts, log in, and manage their profiles. Support multi-factor authentication for security.
Role-Based Access: Provide different roles with specific permissions (e.g., Administrator, Analyst, Public User) and functionalities.
Geospatial Features:
Mapping: Display pollution data on interactive maps, including sensor locations and pollution hotspots.
Geofencing: Implement geofencing to monitor pollution levels within specific geographic areas and trigger alerts.
Integration:
External Data Sources: Integrate with external data sources such as weather data, traffic information, and regulatory databases.
API Access: Provide APIs for integration with other systems, applications, and services.
Data Quality Assurance:
Error Detection: Implement mechanisms to detect and correct errors or anomalies in the data.
Data Validation: Ensure data accuracy through validation rules and checks.
Public Access:
Dashboard: Provide a public dashboard or portal where users can view real-time and historical pollution data.
Educational Resources: Offer resources and information on pollution impacts, prevention, and regulatory guidelines.
Admin and Configuration:
System Configuration: Allow administrators to configure system settings, including sensor parameters, notification thresholds, and user roles.
System Management: Manage system health, monitor performance, and handle updates and maintenance.
Non-Functional Requirements
Performance:
Scalability: Ensure the system can scale to handle increasing numbers of sensors, data points, and users.
Response Time: Maintain quick response times for data processing, visualization, and user interactions.
Reliability:
High Availability: Achieve high availability with minimal downtime to ensure continuous data collection and monitoring.
Fault Tolerance: Implement mechanisms to handle system failures and ensure uninterrupted service.
Security:
Data Encryption: Ensure encryption of sensitive data, including user information and pollution data, both in transit and at rest.
Access Control: Implement strong authentication and authorization mechanisms to protect user accounts and data.
Compliance: Adhere to relevant data protection regulations (e.g., GDPR, CCPA) to ensure privacy and security.
Usability:
User Interface: Design an intuitive and user-friendly interface for easy navigation, data access, and report generation.
Accessibility: Ensure the system is accessible to users with disabilities, following guidelines such as WCAG (Web Content Accessibility Guidelines).
Maintainability:
Code Quality: Maintain high code quality and follow best practices to facilitate system updates and maintenance.
Documentation: Provide comprehensive documentation for users and developers, including user manuals, API documentation, and system guides.
Support:
Customer Service: Offer timely and effective support through various channels, such as live chat, email, and phone.
Help Center: Maintain a knowledge base or help center with FAQs, guides, and troubleshooting information.
Compatibility:
Cross-Browser Support: Ensure compatibility with major web browsers (e.g., Chrome, Firefox, Safari).
Mobile Responsiveness: Design the system to be fully functional on mobile devices, providing a seamless experience across platforms.
Backup and Recovery:
Regular Backups: Implement regular backups of data, including sensor data and user information, to prevent loss.
Recovery Procedures: Establish procedures for data recovery and system restoration to handle data loss or corruption.
Integration:
Interoperability: Ensure the system can integrate seamlessly with other environmental monitoring tools, regulatory systems, and external data sources.
API Flexibility: Provide flexible APIs to accommodate various integration needs with external systems.
Data Quality:
Accuracy: Ensure the accuracy and reliability of pollution measurements and reporting.
Timeliness: Provide timely updates to reflect current pollution levels and trends.
