Framework and Application of a Big Data Monitoring System for Mining with a Pillar-Free Self-Forming Roadway

Tao, Zhigang; Zheng, Xigui; Zhu, Chun; Zhang, Haijiang; Zhang, Xiulian

doi:10.3390/app9102111

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…At present, abutment-pressure monitoring technology for the rocks surrounding coal mine roadways in China is not intelligent or systematic, and it lacks high-precision sensing instruments and multifunctional monitoring systems. There are mature theories and field applications for commonly used electromagnetic radiation monitoring technology, microseismic testing technology, and borehole stress meter testing methods in the stress monitoring of rock surrounding roadways (Tao et al, 2019;Chai et al, 2021). However, electromagnetic radiation monitoring technology and microseismic testing technology are easily affected by external electrical equipment, and their cost is high.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a borehole stress meter in rocks surrounding the roadway, based on optical-fiber sensing technology

Xie

Fang²,

Li³

et al. 2023

Front. Earth Sci.

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Stress in rock masses is an important parameter in the design and construction of underground engineering, such as the design and maintenance of mine roadways and the design of mining working faces. It is also a fundamental force causing the deformation and failure of geotechnical engineering excavation. At present, the abutment-pressure monitoring technology of the surrounding rocks of the coal mine roadway in China is not intelligent and systematic and lacks some high-precision sensing instruments and multi-functional monitoring systems. The mechanical model of the rocks surrounding the borehole was constructed by theoretical analysis of problems in the stress monitoring technology for underground rock masses in coal mines. Additionally, the interaction between the surrounding rocks and the borehole stress meter was analyzed. The borehole stress meters for tubular-structure fiber Bragg grating (TS-FBG) and cystic-structure fiber Bragg grating (CS-FBG) were designed by combining the sensing principle and sensing characteristics of fiber Bragg grating, and the performance of the two kinds of fiber Bragg grating borehole stress meters was compared by laboratory test. The track roadway of the 14,301 tested working faces in the Shaqu Coal Mine was taken as an example, and the stress of the rocks surrounding the 14,301-track roadway was monitored in real time by CS-FBG borehole stress meter during the mining of the working face. The following conclusions are drawn from the field application. The rig-site utilization results revealed obvious stress growth and stress peak zones in the mining-stress change curves of each measuring point on the two sides of the 14,301-track roadway in the process of mining the tested working face. Additionally, there were four stages: rapid rise, uniform growth, rapid rise to the peak, and rapid decline. Maximum stress monitored by the second station was 18.5 MPa, and the influence range of stress was over 140 m. Maximum stress monitored by the first measuring station was 19 MPa, the influence range of stress was about 80 m, and the peak stress position was about 20 m in front of the coal wall. Rig-site utilization proved the design of the CS-FBG borehole stress meter to be reasonable. Performance was stable and reliable, and the successful operation of field monitoring achieved the expected effect.

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Section: Introductionmentioning

confidence: 99%

Development and application of a borehole stress meter in rocks surrounding the roadway, based on optical-fiber sensing technology

Xie

Fang²,

Li³

et al. 2023

Front. Earth Sci.

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“…Tao et al 15 obtained the stress data of the formed entry surroundings by comparing the no pillar mining and pillar mining system using a quasi-distributed Fiber Bragg Grating (FBG) sensing technology. 16 Wang et al 17,18 established a stability analysis model of the formed entry based on Mohr's circle theory. Yang et al 19 investigated the breaking states of the main roof using the discrete element method simulation method.…”

Section: Introductionmentioning

confidence: 99%

“…Gao et al 14 proposed a directional roof split blasting technique to improve the stability of the formed entry. Tao et al 15 obtained the stress data of the formed entry surroundings by comparing the no pillar mining and pillar mining system using a quasi‐distributed Fiber Bragg Grating (FBG) sensing technology 16 . Wang et al 17,18 established a stability analysis model of the formed entry based on Mohr's circle theory.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the stability of gob‐side entry formation by roof cutting by machine learning‐based models

Gao

Gai

et al. 2023

Energy Science & Engineering

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Gob-side entry formation by roof cutting is a new technology for no pillar coal mining, which can maximize coal resources and reduce roadway drivage ratio.However, the mechanical behavior of the formed entry is complex while it is crucial to ensure the stability of the entry for mining safety. This paper proposed a machine learning-based method for predicting the stability of the formed entry, which combined artificial neural network (ANN) with particle swarm optimization (PSO) algorithm or genetic optimization (GO) algorithm.The data set from 75 coal mining faces from 2009 to 2022 was employed to train and test the models. A descriptive variable of dynamic unstable distance was introduced to evaluate the stability state of the formed entry and six other parameters were chosen as influence parameters. The two intelligent models were compared with each other to have a comprehensive assessment. Model assessment indices such as R 2 , mean absolute error, mean absolute percentage error, and root mean square error were used to evaluate the accuracy of the models. The results of both developed models are promising, and the predictive accuracy of the PSO-ANN model is higher than that of the GO-ANN model. Through sensitivity analyses, it has been found that the coal seam thickness and roof rock hardness are the most important parameters for influencing entry stability. The developed method provides a practical tool for the prediction of entry stability and the optimization of entry design.

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“…Zhi Zhou developed a fiber-grating-based 3D strain sensor for highway and civil structure health monitoring [ 19 ]. In the mining field, Liang Minfu proposed an FBG inclination sensor to monitor the attitude of hydraulic support [ 20 ]; Tao Zhigang monitors coal and rock movement in real time based on a quasi-distributed FBG sensor, which provides a basis for pillar-free mining [ 21 ]; Wang Peng designed an FBG force measuring bolt to continuously monitor the roof pressure of the coal roadway [ 22 ]; Chai Jing uses an FBG sensor to monitor the structural deformation of key layers at different stages and finally realizes the inversion of overburden state in goaf [ 23 ]; Wan Xiaorong developed an FBG stress sensor to predict the stability after coal roadway excavation [ 24 ]. However, the application of FBG three-dimensional stress sensors in coal mine engineering has not been reported, so it is significance to study the application of three-dimensional stress sensors in the surrounding rocks.…”

Section: Introductionmentioning

confidence: 99%

Research on Three-Dimensional Stress Monitoring Method of Surrounding Rock Based on FBG Sensing Technology

Liang

Fang

Yang

et al. 2022

Sensors

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Research on the stress state of rock mass is essential for revealing the distribution characteristics and evolution law of the surrounding rock stress field in the roadway, studying the coal–rock dynamic disaster and the design of roadway support. This thesis proposes a three-dimensional stress monitoring method for surrounding rocks based on fiber Bragg grating (FBG) sensing technology and a cube-shaped three-dimensional stress fiber grating sensor is developed based on the principle of this monitoring method. According to the fiber grating strain obtained by numerical simulation, the calculated three-dimensional stress value is basically consistent with the theoretical value. The margin of error was plus or minus one percentage point. The sensing performance of the sensor was tested using a uniaxial compression experiment instead of a triaxial compression experiment. The experimental results show that in the range of 0~50 Mpa, the sensor’s sensitivity to X, Y and Z axis stress is 25.51, 25.97 and 24.86 pm/Mpa, respectively. The relative error of measured stress is less than 4%. Meanwhile, the sensor has good linearity and repeatability, and has broad application prospects in the field of underground engineering safety monitoring such as in coal mines and tunnels.

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Framework and Application of a Big Data Monitoring System for Mining with a Pillar-Free Self-Forming Roadway

Cited by 4 publications

References 25 publications

Development and application of a borehole stress meter in rocks surrounding the roadway, based on optical-fiber sensing technology

Development and application of a borehole stress meter in rocks surrounding the roadway, based on optical-fiber sensing technology

Prediction of the stability of gob‐side entry formation by roof cutting by machine learning‐based models

Research on Three-Dimensional Stress Monitoring Method of Surrounding Rock Based on FBG Sensing Technology

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