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Smart Tailing Dam Monitoring System Development
  1. case
  2. Smart Tailing Dam Monitoring System Development

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Smart Tailing Dam Monitoring System Development

concisesoftware.com
Environmental Services
Energy & natural resources
Information technology

Critical Infrastructure Safety Challenges

Tailing dams require continuous monitoring to prevent catastrophic failures caused by overfilling or structural weaknesses. Current manual monitoring processes lack real-time insights and predictive capabilities, increasing risk exposure for nearby residential areas and environmental ecosystems.

About the Client

Provider of IoT-based infrastructure monitoring solutions for industrial safety

System Implementation Goals

  • Develop real-time sensor data monitoring capabilities
  • Implement predictive alert system for capacity thresholds
  • Create geographic visualization interface for asset management
  • Establish historical data analysis tools for preventive maintenance

Core System Capabilities

  • Real-time sensor data ingestion dashboard
  • Automated overflow warning notifications
  • Google Maps integration for asset geolocation
  • Historical data visualization with trend analysis
  • Role-based administrative control panel

Technology Stack Requirements

Cloud-native architecture
IoT sensor integration protocols
WebGL for data visualization
Time-series database solutions

System Interoperability Needs

  • Google Maps API
  • Third-party sensor APIs
  • Notification service providers

Operational Requirements

  • 24/7 system availability
  • Data encryption standards
  • Scalable infrastructure for 10k+ sensors
  • Sub-second alert latency

Expected Operational Benefits

Implementation will reduce dam failure risks by 70% through proactive monitoring, decrease manual inspection costs by 40%, and enable data-driven maintenance planning for 15+ geographic regions.

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