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Geo-Hazards Open-Pit Mines Tailings Ponds Small Watersheds

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Tailings Ponds

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Scene Introduction Demand Analysis Program Highlights Core Products Typical Case

Scene Introduction

Tailings pond is constructed by building dams to block valley entrances or enclose area to store tailing or other industrial waste during ore selection in metal and non-metal mines. It’s a man-made debris flow hazard source with high potential energy.

Ruhr IoT completes multiple tasks such as automatic collection, storage, network distribution, and warning display of various monitoring information of the tailings pond through the tailings pond safety monitoring system, effectively preventing associated safety risks.

Demand Analysis

Dams Instability Occurs Often

Dam failure is the biggest disaster of tailings ponds, when the storage exceeds pond capacity or human. Surface or internal displacement of dam body caused by overfilling of pond or human damage can lead to dam failure which is the biggest disaster of tailings pond and cause economic loss.

Dry beach stock exceeds standard

Water in tailings slurry settle gradually, forming a deposit on the interception surface of dam, causing solid tailings deposit，the exposed beach above water, if exceeding limits, may cause major safety accidents such as overtopping, dam failure, etc.

Poor flood prevention capacity

The tailings pound stores a large amount of slurry settling water, in case of prolonged rainfall, it’s necessary to discharge the flood timely through structures( such as wells, shutes, pipe culvert and tunnels). Damaged or blocked facilities can cause poor drainage, leading to overtopping, dam scouring, and even dam break.

Program Highlights

Data Cockpit

Aggregation and visualization of risk elements date, real-time monitoring and reminding.
Sensing&Monitoring

Deploy varied sensors for tailings pond of different levels to monitor surface and internal displacement, environment, and beach length, to obtain data of dams and reservoir, and to ensure comprehensive and real-time control of tailings pound safety.
Precise Warning

Set up early warning model to ensure rapid and unified release of warning information.
Trend Prediction

Trend prediction and evaluation of flood overtopping, destruction of drainage system structures, slope instability, and seepage failure.