# The Development and Performance Validation of a Real-Time Stress Extraction Device for Deep Mining-Induced Stress

**Authors:** Bojia Xi, Pengfei Shan, Biao Jiao, Huicong Xu, Zheng Meng, Ke Yang, Zhongming Yan, Long Zhang

PMC · DOI: 10.3390/s26030875 · Sensors (Basel, Switzerland) · 2026-01-29

## TL;DR

A new device for real-time stress monitoring in deep mining environments was developed and tested, showing high accuracy and reliability.

## Contribution

A novel in situ stress monitoring device was developed for deep mining with performance validated under complex stress conditions.

## Key findings

- The device showed peak stress errors below 5% and R2 values exceeding 0.95 in laboratory tests.
- Monitoring remained stable even with up to 70% initial damage in rock specimens.
- Acoustic emission results confirmed the reliability of the device's stress monitoring capabilities.

## Abstract

What are the main findings?
A novel in situ rock stress monitoring device was developed through structural optimization and material selection for deep and complex stress environments.Laboratory tests demonstrate a high consistency between monitored stress and applied stress, with peak error controlled within 5% and a fitting coefficient of R2 > 0.98.

A novel in situ rock stress monitoring device was developed through structural optimization and material selection for deep and complex stress environments.

Laboratory tests demonstrate a high consistency between monitored stress and applied stress, with peak error controlled within 5% and a fitting coefficient of R2 > 0.98.

What are the implications of the main findings?
The proposed device provides a reliable method for real-time and accurate in situ stress monitoring in deep underground engineering.The findings offer technical support for stress evaluation and disaster prevention in deep mining and geotechnical engineering applications.

The proposed device provides a reliable method for real-time and accurate in situ stress monitoring in deep underground engineering.

The findings offer technical support for stress evaluation and disaster prevention in deep mining and geotechnical engineering applications.

Under deep mining conditions, coal and rock masses are subjected to high in situ stress and strong mining-induced disturbances, leading to intensified stress unloading, concentration, and redistribution processes. The stability of surrounding rock is therefore closely related to mine safety. Direct, real-time, and continuous monitoring of in situ stress magnitude, orientation, and evolution is a critical requirement for deep underground engineering. To overcome the limitations of conventional stress monitoring methods under high-stress and strong-disturbance conditions, a novel in situ stress monitoring device was developed, and its performance was systematically verified through laboratory experiments. Typical unloading–reloading and biaxial unequal stress paths of deep surrounding rock were adopted. Tests were conducted on intact specimens and specimens with initial damage levels of 30%, 50%, and 70% to evaluate monitoring performance under different degradation conditions. The results show that the device can stably acquire strain signals throughout the entire loading–unloading process. The inverted monitoring stress exhibits high consistency with the loading system in terms of evolution trends and peak stress positions, with peak stress errors below 5% and correlation coefficients (R2) exceeding 0.95. Although more serious initial damage increases high-frequency fluctuations in the monitoring curves, the overall evolution pattern and unloading response remain stable. Combined acoustic emission results further confirm the reliability of the monitoring outcomes. These findings demonstrate that the proposed device enables accurate and dynamic in situ stress monitoring under deep mining conditions, providing a practical technical approach for surrounding rock stability analysis and disaster prevention.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12899488/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12899488/full.md

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Source: https://tomesphere.com/paper/PMC12899488