TSF Monitoring - IoT in the Mining Sector
summary
Describes a working stack that wires piezometers and settlement cells and tilt meters into a mist/edge/fog/cloud pipeline using LoRa long‑range links, Wi‑Fi and 3G/4G with satellite fallback, and MQTT/AMQP transport to Azure. Adds drone LiDAR, satellite imagery, cameras, water and air sensors, AI/ML analytics and a dashboard/digital twin so the platform claims to detect rising pore pressure, displacement and seepage trends and deliver prescriptive alerts to prevent TSF collapses.
AI-written summary · about
chapters (9)
- 0:00Start
- 5:18Failure Events and TSF Lifecycle
- 8:45TSF - Dam Types and Storage Techniques
- 12:30Tailings Storage Facility - Failure Modes Visual
- 16:06Technology Trends in Mining
- 24:08Sensors Network and Communication Topology
- 30:39Platform Features
- 31:41TSF Digital Product-Reference Product Overview
- 34:44TSF Digital Product - Benefits
related talks
15mSmart Agriculture with Sensoterra
39mFrom IoT to Human interactions
14mAn integrative IoT platform for city management with AWS
36mUsing sensors to reduce wasted support time: case study for testing in IoT
25mObservability for Air Conditioners: An IoT Story with Talos
16mRealising digital asset management using LoRaWAN
40mUsing MQTT & Sparkplug as your IIoT Digital Transformation Toolkit
15mMicroclimate Network
