Development of a Web-Based Monitoring System for Tailing Dams Safety and Capacity Management

Monitoring tailing dams is critical to prevent overfilling, which can lead to catastrophic failures and environmental hazards. Existing methods lack real-time data integration, alert mechanisms, and geographic visualization, making proactive management difficult for dam operators.

A mid-to-large scale utility company responsible for managing tailing dams and related infrastructure in resource extraction sectors.

• Create a comprehensive web application for real-time monitoring of tailings dams’ capacity levels using sensor data.
• Implement a notification system to alert management when dam levels approach capacity thresholds.
• Integrate geographic mapping to display sensor locations for better situational awareness.
• Develop an internal analytics dashboard for historical data analysis and trend identification to inform maintenance decisions.
• Ensure system reliability, scalability, and security to support operational safety standards.

• Dashboard displaying live sensor readouts and dam status indicators.
• Automated warning and alert messages for approaching capacity limits.
• Integration with mapping services to visualize sensor locations and dam sites.
• Historical data analysis module for trend visualization and reporting.
• Administrative interface for managing sensor data, user access, and notification settings.

• Sensor data feed integration via secure API or IoT protocols
• Mapping service integration (e.g., Google Maps or an equivalent GIS system)
• Notification system integration (email/SMS alerts)

• System should handle data from at least 100 sensors with real-time updates
• Uptime of 99.9% to ensure high availability
• Secure data transmission and user authentication mechanisms
• Scalable architecture supporting future expansion

The implementation of this system aims to significantly enhance dam safety management by enabling proactive alerts and detailed analysis. Expected outcomes include a reduction in overfill incidents, improved operational decision-making, and increased safety assurance for surrounding communities, with scalability to support growing infrastructure and data volume.