Survey & investigation | Tailings dam monitoring
Canary Systems explains how it takes an integrated approach to data integration and risk management when monitoring tailings dams
forces acting upon it. Settlement gauges track any subsidence or settlement of the dam structure over time. Seepage metres help in evaluating the flow of water through the dam, aiding in the detection of potential leaks or weaknesses. Additionally, GPS systems are used for geospatial
monitoring, allowing for precise tracking of the dam’s position and any movement over time. Remote sensing techniques, such as LiDAR (Light Detection and Ranging), can be employed to generate detailed 3D models of the dam and its surroundings. These models provide valuable information into the topography and structural integrity of the dam, aiding in risk assessment and planning. By employing a combination of these instrumentation methods, mining personnel can gain a full understanding of the behavior and condition of tailings dams. This holistic approach to monitoring enables proactive risk management and maintenance efforts, ultimately enhancing the safety and stability of such structures.
Data integration with MLSuite With the ability to ingest data from a multitude of sources
Above: In MLWeb, the 2D view displays icons representing the locations of each MLGPS system. Additionally, green arrows are utilized to illustrate the movement vectors. These arrows indicate the direction and magnitude of movement
Below: A typical MLGPS installation
IN THE MONITORING AND management of tailings dams and levees, it is common practice to employ two primary methods: internal monitoring and external monitoring. Internal monitoring involves the assessment of deformations, loads, and pore pressures within the structure itself, providing insights into its structural integrity and stability. External monitoring focuses on detecting deformations and leaks on the surface or outer border of the dam, offering valuable information about the overall condition and potential risks. The integration of both internal and external
monitoring approaches is essential for a thorough risk management strategy. While external monitoring is undoubtedly significant in detecting visible signs of distress or deterioration, such as surface cracks or seepage, internal monitoring plays a vital role in identifying subtle changes and early indicators of potential failures that may not be immediately visible. By assessing factors like deformations and pore
pressures, proper internal and external monitoring initiatives provide early warning signs, allowing dam safety personnel to intervene and implement strategies before a critical failure occurs.
Instrumentation and data types Various types of instrumentation can be deployed to
collect data for monitoring tailings dams. For example, in-place inclinometers allow measurement of internal structural deformation and identification of internal failures and are used to measure slope stability by monitoring changes in the tilt of the dam structure. Piezometers can be installed to measure pore water pressure, providing crucial information on the dam’s saturation. Load cells can be installed to assess the structural integrity of the dam by measuring the distribution of
34 | June 2024 |
www.waterpowermagazine.com
–including remote sensing devices, instrumentation and dataloggers from most vendors – MLSuite is a comprehensive data integration platform that offers users the ability to automate their tailings monitoring processes, enhance decision-making, and optimise operations, leading to heightened efficiency and cost savings. The platform seamlessly integrates various instrument
data into a unified view. This consolidation allows for convenient access and streamlined analysis of data for optimal insights. MLSuite features a programmable interface, enabling
users to schedule data collections from numerous devices effortlessly. Its adaptable database, file, scripting, and API import capabilities empower users to connect unique data sources effectively. Additionally, its integrated GIS engine simplifies the georeferencing of data, events, and locations, offering seamless integration and accessibility. MLWeb stands as the web-based visualisation component within MLSuite. Within MLWeb, users can explore and interact with data in a seamless, web- based environment. This component offers a range of powerful visualisation tools tailored to meet diverse tailings monitoring data analysis and integration needs. Designed with user convenience in mind, MLWeb
provides intuitive features that facilitate efficient data exploration and analysis. Whether it’s examining trends, or identifying patterns through custom charts and reports, MLWeb empowers users to delve into their data with ease. Moreover, MLWeb’ s web-based nature ensures accessibility across various devices and platforms, allowing users of all levels to view and analyse data anytime, anywhere. This flexibility enhances collaboration and decision-making processes by enabling users to engage with data in near real-time.
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