Functional requirements of Water Quality Monitoring System with non-functional
Projects Inventory
Functional Requirements
Data Collection
Sensor Integration: Interface with sensors for detecting water quality parameters such as pH, turbidity, dissolved oxygen, temperature, and contaminants.
Sampling: Collect water samples from various sources at specified intervals.
Data Processing and Analysis
Real-Time Monitoring: Continuously monitor water quality parameters in real-time.
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Data Analysis: Analyze collected data to detect anomalies, trends, and compliance with quality standards.
Alert Generation: Automatically generate alerts for abnormal readings or potential contamination events.
Reporting
Real-Time Reporting: Provide live reports on water quality status, including parameter readings and alerts.
Historical Reports: Generate historical data reports for trend analysis, regulatory compliance, and long-term monitoring.
Customizable Reports: Allow users to create and customize reports based on specific parameters or timeframes.
User Management
Role-Based Access: Define user roles (e.g., admin, technician, analyst) with different access levels and permissions.
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User Authentication: Secure login and authentication to ensure only authorized personnel can access the system.
Alarm and Notification System
Threshold Alerts: Set thresholds for different water quality parameters and trigger alarms when these thresholds are exceeded.
Notifications: Send notifications via email, SMS, or in-system alerts to inform relevant stakeholders of issues.
Data Storage and Management
Database Management: Store and manage large volumes of water quality data in a database.
Data Backup: Regularly backup data to prevent loss and ensure recovery in case of system failures.
Integration
External Systems: Integrate with other systems such as Geographic Information Systems (GIS), environmental monitoring platforms, or public health databases.
API Support: Provide APIs for data exchange and integration with third-party applications.
Visualization
Dashboards: Provide interactive dashboards for visualizing real-time and historical water quality data.
Graphs and Charts: Display data trends, comparisons, and analysis through graphical representations.
Calibration and Maintenance
Sensor Calibration: Tools for calibrating sensors to ensure accurate readings.
Maintenance Tracking: Track and manage the maintenance schedules and status of monitoring equipment.
Compliance and Standards
Regulatory Compliance: Ensure that the system adheres to local and international water quality standards and regulations.
Documentation: Provide documentation and evidence of compliance for audits and inspections.
Non-Functional Requirements
Performance
Scalability: The system should handle increasing volumes of data and a growing number of sensors or monitoring points efficiently.
Speed: Ensure low latency for real-time data processing, alerts, and reporting.
Reliability
Uptime: High availability with minimal downtime to ensure continuous monitoring of water quality.
Data Integrity: Accurate and consistent handling of water quality data.
Security
Authentication/Authorization: Secure user access with role-based permissions to protect sensitive data.
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Data Encryption: Encrypt data both in transit and at rest to safeguard information.
Privacy: Ensure compliance with data protection regulations (e.g., GDPR, CCPA) to protect user and environmental data.
Usability
User Interface (UI): Intuitive and user-friendly design for ease of navigation and operation.
User Experience (UX): Smooth experience for users to monitor, analyze, and report on water quality.
Compatibility
Hardware Integration: Support for various types of sensors and monitoring equipment.
Software Integration: Compatibility with existing systems and platforms used for environmental monitoring.
Maintainability
Code Quality: Well-structured and documented code for ease of maintenance and future updates.
Updates: Regular updates to address bugs, improve features, and adapt to new technologies or requirements.
Accessibility
Inclusivity: Adherence to accessibility standards (e.g., WCAG) to support users with disabilities.
Multi-Language Support: Provide multilingual capabilities to accommodate a diverse user base.
Backup and Recovery
Data Backup: Regular backups to prevent data loss and ensure recovery in case of system failures.
Disaster Recovery: Procedures for restoring system functionality and data after significant disruptions.
Interoperability
Standards Compliance: Adherence to relevant standards and protocols for data exchange and integration with other systems and tools.