Episode Details

This audio is brought to you by Endress and Hauser, a global leader in process and laboratory measurement technology, offering a broad portfolio of instruments, solutions and services for industrial process measurement and automation.
South Africa's Council for Scientific and Industrial Research (CSIR), through the Mandela Mining Precinct's advanced orebody knowledge programme, has completed an underground proof-of-concept field test of an innovative acoustic rock-sounding application at Harmony Gold's Mponeng mine.
Mponeng is the deepest mine in the world.
The field trial was concluded in collaboration with the mine's rock engineering team. It is described as marking an important step towards the digitalisation of underground workplace examination and fall-of-ground (FoG) risk management practices.
"The Mponeng field test provided valuable real-world insight into how the acoustic rock-sounding application performs in an underground mining environment," CSIR project lead Heinrich Greeff reported in a release to Mining Weekly, in which he added that it confirmed the technical feasibility of the concept while also identifying the practical refinements required before operational deployment.
"Innovation plays a critical role in our drive towards safer mining. The successful field test at Mponeng demonstrates the potential of digital technologies to strengthen workplace examinations and support informed ground control decisions. We're pleased to collaborate with the CSIR and other technology partners in exploring practical solutions that can contribute to improved underground safety," Harmony Gold added.
Barring and rock sounding remain critical activities used by mineworkers to identify and remove potentially loose or hazardous rock.
While experienced personnel are highly skilled in recognising sounding responses, interpretation can vary between individuals and may be influenced by environmental conditions such as underground noise and fatigue.
The acoustic rock-sounding application aims to support existing workplace examination practices by providing a consistent, data-driven assessment of acoustic responses generated when rock is struck during sounding activities.
Developed through a collaborative research initiative between the CSIR and Peralex Electronics, the application uses acoustic signal processing and machine-learning techniques to analyse rock-sounding responses and classify them according to characteristics associated with solid or potentially loose ground conditions.
The technology is intended to complement, rather than replace, the expertise and judgement of trained underground personnel.
The Mponeng field test successfully demonstrated the technical feasibility of the concept under real mining conditions. Core application functions, including underground audio recording, acoustic classification, confidence scoring, event logging, offline operation and data export, were successfully evaluated. The trial also provided valuable practical insights that will guide future development and optimisation of the technology.
By digitally capturing and storing acoustic strike data, the system establishes a foundation for trend analysis, hazard tracking and future integration with spatially referenced ground control and risk management systems. The long-term vision is to develop a platform capable of supporting proactive ground control decisions, workplace examinations and rock engineering reviews through enhanced hazard intelligence.
FoGs remain one of the most critical safety risks in deep-level mining. The acoustic rock-sounding application contributes to FoG risk management by supporting:
more consistent interpretation of acoustic rock responses; improved digital recording of barring and sounding activity; future auditing of where and how sounding has been conducted; development of datasets that can support improved model training and future hazard intelligence; andpote