Mine surveying science and technology for contemporary and future mining industries

Zhengfu Bian , Qiuzhao Zhang , Runfa Tong , Nanshan Zheng , Axel Preusse

Int J Min Sci Technol ›› 2026, Vol. 36 ›› Issue (2) : 251 -275.

PDF (12225KB)
Int J Min Sci Technol ›› 2026, Vol. 36 ›› Issue (2) :251 -275. DOI: 10.1016/j.ijmst.2025.12.010
Research article
research-article
Mine surveying science and technology for contemporary and future mining industries
Author information +
History +
PDF (12225KB)

Abstract

Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development. It plays an important role throughout the entire life cycle of a mine, from exploration, design, construction, and production to closure, and is known as the ‘‘eyes of the mine”. With the rapid development of satellite technology, computer science, artificial intelligence, robotics, and spatiotemporal big data, mine surveying science and technology supported by spatial information technology is increasingly playing the role of the ‘‘brain of the mine”. This paper systematically summarizes the characteristics of mining surveying science and technology in contemporary and future mining development. First, based on the requirements of safe, efficient, and green development in modern mining, an analysis is conducted on the innovative practices of intelligent mining methods; secondly, it explains the transformation of regional economic and mining economic integration towards lengthening the industrial chain and scientific and technological innovation. Regarding intelligent mining, this paper discusses three technical dimensions: (1) By establishing a spatiotemporal data model of the mine, real-time perception and remote intelligent control of the production system are realized; (2) Based on the transparent mine three-dimensional geological modelling technology, the accuracy of geological condition prediction and the scientific nature of mining decisions are significantly improved; (3) By integrating multi-source remote sensing data and deep learning algorithms, a high-precision coal and rock identification system is constructed. The study further revealed the innovative application value of mine surveying in the post-mining era, including: diversified utilization of underground space in mining areas (tourism development, geothermal energy storage, pumped storage, etc.), multi-platform remote sensing coordinated ecological restoration monitoring, and optimized land space planning in mining areas. Practice has proved that mine surveying technology is an important technical engine for promoting green transformation and high-quality development in resource-based regions, and has irreplaceable strategic significance for achieving coordinated development of energy, economy, and environment.

Keywords

Mine surveying / Intelligent mining / Post-mining era / Ecological restoration

Cite this article

Download citation ▾
Zhengfu Bian, Qiuzhao Zhang, Runfa Tong, Nanshan Zheng, Axel Preusse. Mine surveying science and technology for contemporary and future mining industries. Int J Min Sci Technol, 2026, 36 (2) : 251-275 DOI:10.1016/j.ijmst.2025.12.010

登录浏览全文

4963

注册一个新账户 忘记密码

CRediT authorship contribution statement

Zhengfu Bian: Writing – review & editing, Writing – original draft, Validation, Funding acquisition, Conceptualization. Qiuzhao Zhang: Writing – review & editing, Writing – original draft. Runfa Tong: Writing – original draft, Data curation. Nanshan Zheng: Writing – review & editing. Axel Preusse: Writing – review & editing.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

This work was supported by the National Natural Science Foundation of China (Nos. 52394193 and U22A20569) and the National Key R&D Program Projects (Nos. 2023YFC3804200 and 2023YFC3804205).

References

[1]

Zhu LF . Construction of "De—Capacity Reduction" financial performance index for Chinese coal industry enterprises: Based on Fisher discriminant analysis. Heliyon 2024; 10(10): e30560.

[2]

Yuan L. Progress and advancements of coal mine gas control and management for safe mining in China. J Ind Saf 2024; 1(1): 100005.

[3]

Li QS, Li XB . Technological innovation and engineering practice of damage reduction mining and ecosystem restoration in open—pit coal mine. Glob Sustain 2024; 7: e50.

[4]

Lyu X, Zhang T, Yuan L, Fang JJ . Prospects for the transformation and development of carbon storage in abandoned mines of coal enterprises from the perspective of carbon neutrality. Int J Coal Sci Technol 2023; 10(1): 36.

[5]

Xin DL, Li C, Chen TT, Fang XY, Zhao Q, Chen H . Research on top—level planning for sustainable high—quality development of China’s largest scale deep coal mining area. Front Earth Sci 2023; 11: 1274369.

[6]

China Association for Science and Technology. Report on advances in science and technology of surveying and mapping during 2016—2017. Beijing: China Science and Technology Press; 2018. in Chinese.

[7]

Xie HP, Wang JH, Wang GF, Ren HW, Liu JZ, Ge SR, et al. New ideas of coal revolution and layout of coal science and technology development. J China Coal Society 2018; 43(5): 1187-97. in Chinese.

[8]

Wang GF, Ren HW, Zhao GR, Zhang DS, Wen ZG, Meng LY, et al. Research and practice of intelligent coal mine technology systems in China. Int J Coal Sci Technol 2022; 9(1): 24.

[9]

Ge SR, Hao SQ, Zhang SH, Zhang XF, Zhang L, Wang SB, et al. Status of intelligent coal mining technology and potential key technologies in China. Coal Sci Technol 2020; 48(7): 28-46. in Chinese.

[10]

Zhang JY, Gong YX . Study on anti—reflection of deep soft and high gas coal seam floor by deep hole controlled blasting. Sci Rep 2024; 14(1): 25720.

[11]

Cui FP, Wu Q, Lin YH, Zhao SQ, Zeng YF . Prevention and control techniques and methods for water disasters at coal mines in China. J Min Sci Technol 2018; 3: 219-28. in Chinese.

[12]

Bai ZC, Zhao FQ, Wang JQ, Li J, Wang YP, Li Y, et al. Revealing long—term displacement and evolution of open—pit coal mines using SBAS—InSAR and DS—InSAR. Remote Sens 2025; 17(11): 1821.

[13]

Xu Q, Zhu X, Li WL, Dong XJ, Dai KR, Jiang YN, et al. Technical progress of space—air—ground collaborative monitoring of landslide. Acta Geod Et Cartogr Sin 2022; 51(7): 1416-36. in Chinese.

[14]

Luan HJ, Lin HL, Jiang YJ, Wang YH, Liu JK, Wang P . Risks induced by room mining goaf and their assessment: a case study in the Shenfu—Dongsheng mining area. Sustainability 2018; 10(3): 631.

[15]

He XQ, Zhou C, Song DZ, Li ZL, Cao AY, He SQ, et al. Mechanism and monitoring and early warning technology for rockburst in coal mines. Int J Miner Metall Mater 2021; 28(7): 1097-111.

[16]

Duan YL, Wang S, Wang WH, Zheng K . Atmospheric disturbance on the gas explosion in closed fire zone. Int J Coal Sci Technol 2020; 7(4): 752-65.

[17]

You Q, Yao QG, Song RX, Yu K, Xu CC, Cao HY . Multi—dimensional safety risk assessment on coal mines under the profitability dilemma. Sci Rep 2023; 13(1): 2687.

[18]

Wang GF, Fan JD, Xu YJ, Ren HW . Innovation progress and prospect on key technologies of intelligent coal mining. Ind Mine Autom 2018; 44(2): 5-12. in Chinese.

[19]

Fan JD, Xu JJ, Zhang YL, Zhang KX, Li C . Intelligent unmanned fully—mechanized mining technology under conditions of different seams geology. Coal Sci Technol 2019; 47(3): 43-52. in Chinese.

[20]

Bai JY, Zheng DZ, Jia C . Safety technology risks and countermeasures in the intelligent construction of coal mines. Geofluids 2022; 2022(1): 4491044.

[21]

Wang JH . Development and prospect on fully mechanized mining in Chinese coal mines. Int J Coal Sci Technol 2014; 1(3): 253-60.

[22]

Kang HP, Wang BQ, Gao FQ, Zhang YJ, Fan ZZ, Li SL, et al. Current status and prospects of coal mining science and technology in China. GeoEnergy Commun 2025; 1(1): 3.

[23]

Xu JK, Yan CD, Zhang BW, Chen XC, Yan X, Wang RX, et al. Investigation of spatio—temporal simulation of mining subsidence and its determinants utilizing the RF—CA model. Land 2025; 14(2): 268.

[24]

Liu J, Qin K . Progress of green coal mining technology in China. Min Saf Environ Prot 2023; 50(6): 7-15. in Chinese.

[25]

Yin W, Chen ZW, Quan K, Mei XC . Strata behavior at fully—mechanized coal mining and solid backfilling face. Springerplus 2016; 5(1): 1611.

[26]

Dong M, Li JS, Chen X, Jin JX, Lu LZ . Preparation of coal—series solid—waste—based green filling materials and their performance. Coal Geol Explor 2022; 50(12): 75-84. in Chinese.

[27]

Xu YJ, Ma LQ, Wang L, Ngo I, Wang YY . Continuous extraction and continuous backfill for gaseous and mineralized dual CO2 sequestration and water—preserving coal mining . Geomech Geophys Geo Energy Geo Resour 2025; 11(1): 40.

[28]

Liu JH, Wang YH, Li JJ, Ntokoma D, Yu ZX, Zhu ST, et al. Continuous chamber gangue storage for sustainable mining in coal mines: principles, methods, and environmental benefits. Sustainability 2025; 17(15): 6865.

[29]

Zong TC, Zhu GL, Zhang Q, Yang K, Wang YB, Han Y, et al. Solid backfilling efficiency optimization in coal mining: spatiotemporal linkage analysis and case study. Appl Sci 2023; 13(22): 12298.

[30]

Wang GF, Liu F . China smart coal mine development report. Beijing: Science Press; 2020.

[31]

Yuan XF, Wu YT, Sun LH, Wang XP . Research on efficient construction paths for intelligent coal mines in China from the configuration perspective. Appl Sci 2023; 13(1): 673.

[32]

Kang HP, Wang GF, Wang SM, Liu JZ, Ren SH, Chen PP, et al. High—quality development of China’s coal industry. Chin J Eng Sci 2021; 23(05): 130-8.

[33]

Wang YT, Feng YH, Xi CF, Wang BC, Tang B, Geng YZ . Development of an intelligent coal production and operation platform based on a real—time data warehouse and AI model. Energies 2024; 17(20): 5205.

[34]

Wu W, Lin BQ . Reducing overcapacity in China’s coal industry: A real option approach. Comput Econ 2020; 55(4): 1073-93.

[35]

Zhong SH, Lin D, Yang KD . Research on the influencing factors of coal industry transformation based on the DEMATEL—ISM method. Energies 2022; 15(24): 9502.

[36]

An HZ, Li HJ . Theory and research advances in whole industrial chain of strategic mineral resources. Resour Ind 2022; 24(1): 8-14. in Chinese.

[37]

Zhang Q, Cheng W, Zhang TB, Liu HB, Yuan JW, Chen AA, et al. Occurrence modes and comprehensive utilization of critical metal resources associated with coal: A review. Int J Min Sci Technol 2025.

[38]

Wang QQ, Yang SY, Huang LY, Liu S, Liu C, Xu JY . Research progress of application and interaction mechanism of polymers in mineral flotation: A review. Polymers 2024; 16(23): 3335.

[39]

He SY, Lee J, Zhou T, Wu D . Shrinking cities and resource—based economy: the economic restructuring in China’s mining cities. Cities 2017; 60: 75-83.

[40]

Wang P, Dong C, Chen N, Qi M, Yang SC, Amuji BN, et al. Environmental regulation, government subsidies, and green technology innovation—a provincial panel data analysis from China. Int J Environ Res Publ Health 2021; 18(22): 11991.

[41]

Zhang YX, Zeng SB, Wu QS, Fu JY, Li TP . A study on the impact of the carbon emissions trading policy on the mining industry based on Porter hypothesis. Resour Policy 2023; 87: 104349.

[42]

Zeng B, Yang XY, Hu PD, Wang YQ, Dong HQ, Gong DW, et al. Towards a digitally enabled intelligent coal mine integrated energy system: Evolution, conceptualization, and implementation. Sustain Energy Technol Assess 2025; 73: 104128.

[43]

Mao SJ . Development of coal geological information technologies in China. Int J Coal Sci Technol 2020; 7(2): 320-8.

[44]

Askaripour M, Saeidi A, Rouleau A, Mercier—Langevin P . Rockburst in underground excavations: A review of mechanism, classification, and prediction methods. Undergr Space 2022; 7(4): 577-607.

[45]

Wang JH, Huang ZH . The recent technological development of intelligent mining in China. Engineering 2017; 3(4): 439—44.

[46]

Can E. Assessment of risks relevant to underground measurements for coal mining production and exploration. Nat Resour Res 2020; 29(3): 1773-85.

[47]

Grgić I, Bašić T, Šljivarić M . Application of geoid model HRG2009 in tunnelling. Geodetski list 2014; 68(2): 89-104.

[48]

Guo CQ, Ma G, Xiao HB, Zhou W, Chen HJ, Zhou ZW, et al. Displacement back analysis of reservoir landslide based on multi—source monitoring data: A case study of the Cheyiping landslide in the Lancang River Basin, China. Remote Sens 2022; 14(11): 2683.

[49]

Liu H, Mao SJ, Li M, Wang SY . A tightly coupled GIS and spatiotemporal modeling for methane emission simulation in the underground coal mine system. Appl Sci 2019; 9(9): 1931.

[50]

Fan Z, Ge SR, Li C . Research summary on digital twin technology for smart mines. Coal Sci Technol 2020; 48(7): 168-76. in Chinese.

[51]

Yang J, Tang WM, Xuan W, Xi RJ . Tight integration of GNSS and static level for high accuracy dilapidated house deformation monitoring. Remote Sens 2022; 14(12): 2943.

[52]

Yuan L, Zhang PS . Key technology and path thinking of dynamic reconstruction of mine transparent geological model. J China Coal Society 2023; 48(1): 1-14. in Chinese.

[53]

Cheng JY, Zhu MB, Wang YH, Yue H, Cui WX . Cascade construction of geological model of longwall panel for intelligent precision coal mining and its key technology. J China Coal Society 2019; 44(8): 2285—95. in Chinese.

[54]

Dong SN, Liu ZB, Cheng JY, Chen BH, Dai ZH, Li D . Technologies and prospect of geological guarantee for intelligent coal mining. Coal Geol Explor 2021; 49(1): 21-31. in Chinese.

[55]

Liu Z, Huang YF, Hong B . Design and implementation of digital geological data management system based on GIS. Telecom World 2017; 24(10): 215-6. in Chinese.

[56]

Si L, Wang ZB, Liu P, Tan C, Chen H, Wei D . A novel coal—rock recognition method for coal mining working face based on laser point cloud data. IEEE Trans Instrum Meas 2021; 70: 1-18.

[57]

Ma Z, Xu XL, Peng SP, Zhu PQ, Wang YD . Development and application of air—coupled GPR antenna for coal—rock interface detection in mines. J Appl Geophys 2023; 219: 105238.

[58]

Ralston JC, Strange AD . Developing selective mining capability for longwall shearers using thermal infrared—based seam tracking. Int J Min Sci Technol 2013; 23(1): 47-53.

[59]

Si L, Xiong XX, Wang ZB, Tan C . A deep convolutional neural network model for intelligent discrimination between coal and rocks in coal mining face. Math Probl Eng 2020; 2020: 2616510.

[60]

Xu Z, Li JZ, Zhang M . A surveillance video real—time analysis system based on edge—cloud and FL—YOLO cooperation in coal mine. IEEE Access 2021; 9: 68482-97.

[61]

Jopp TA . Did closures do any good? Labour productivity, mine dynamics, and rationalization in interwar Ruhr coal mining. Econ Hist Rev 2017; 70(3): 944-76.

[62]

Kowarik I, Stefan K, eds. Wild Urban Woodlands: New Perspectives for Urban Forestry [Internet]. Berlin, Heidelberg: Springer Science & Business Medial; 2005 [cited 2025 May 28].

[63]

Xie HP, Gao MZ, Gao F, Zhang R, Ju Y, Xu H, et al. Strategic conceptualization and key technology for the transformation and upgrading of shut—down coal mines. J China Coal Society 2017; 42(6): 1355—65. in Chinese.

[64]

Verhoeven R, Willems E, Harcouët—Menou V, De Boever E, Hiddes L, Op’t Veld P, Demollin E . Minewater 2.0 project in Heerlen, the Netherlands: transformation of a geothermal mine water pilot project into a full scale hybrid sustainable energy infrastructure for heating and cooling. Energy Procedia 2014; 46: 58-67.

[65]

Hu S, Liu C, Ding J, Xu YJ, Chen HS, Zhou XZ . Thermo—economic modeling and evaluation of physical energy storage in power system. J Therm Sci 2021; 30(6): 1861-74.

[66]

Xu YJ, Zhou SW, Xia CC, Zhao HO, Xue XD . Three—dimensional thermo—mechanical analysis of abandoned mine drifts for underground compressed air energy storage: A comparative study of two construction and plugging schemes. J Energy Storage 2021; 39: 102696.

[67]

Zhang YL, Gu YM, Ma GW . Mode—I fracture toughness and fracturing damage model for sandstone subjected to cryogenic treatment to −160 ℃. Rock Mech Rock Eng 2024; 57(10): 7929—43.

[68]

Zhang YL, Ma GW, Zhou HT, Wei XD, Chen Y . A CT—XRD—based thermo—mechanical coupling DLSM for quantitative analysis of extreme temperature—induced damage in rocks. Comput Geotech 2025; 179: 107056.

[69]

Tang Y, Liang Y . Staged authenticity and nostalgia of mining tourists in the Jiayang mining Geo—park of China. J Tour Cult Change 2023; 21(2): 169-87.

[70]

Wang HZ, Huang Q, Chen C . Ecological management and land rehabilitation in mining areas from the perspective of actor—network theory—a case study of Lizuizi coal mine in China. Land 2022; 11(12): 2128.

[71]

Rouhani A, Hejcman M, Trögl J . A review of soil pollution by potentially toxic elements and remediation strategies in copper mining areas in Iran. Int J Environ Sci Technol 2025; 22(10): 9793-806.

[72]

Wang F, Harindintwali JD, Yuan ZZ, Wang M, Wang FM, Li S, et al. Technologies and perspectives for achieving carbon neutrality. Innov 2021; 2(4): 100180.

[73]

Xu L, Zhao FF, Xing XY, Peng JB, Wang JM, Ji MF, et al. A review on remediation technology and the remediation evaluation of heavy metal—contaminated soils. Toxics 2024; 12(12): 897.

[74]

Miclean M, Cadar O, Muntean A, Levei L . Mine water discharge chemistry and potential risk in a former mining area. Environments 2025; 12(3): 76.

[75]

Moghimi Dehkordi M, Pournuroz Nodeh Z, Soleimani Dehkordi K, Salmanvandi H, Rasouli Khorjestan R, Ghaffarzadeh M . Soil, air, and water pollution from mining and industrial activities: sources of pollution, environmental impacts, and prevention and control methods. Results Eng 2024; 23: 102729.

[76]

Sun WJ, Li WJ, Ren LF, Li KX . Spatial and temporal characterization of mine water inrush accidents in China, 2014—2022. Water 2024; 16(5): 656.

[77]

Xu LM, Du LL, Li YJ, Li WZ, Wu HS . Effects of mine water on growth characteristics of ryegrass and soil matrix properties. Sci Rep 2022; 12(1): 17758.

[78]

Yan G, Song DZ, Wang M, Qiu LM, He XQ, Khan MR, et al. New insights into dynamic disaster monitoring through asynchronous deformation induced coal—gas outburst mechanism of tectonic and raw coal seams. Energy 2024; 295: 131063.

[79]

Xue G, Liu JQ, Qiang ZB, Wang YG, Guo Y, Chen H . Key issues and countermeasures of coal mine water treatment and recycling. Ind Water Treat 2025; 45(01): 1-8. in Chinese.

[80]

Zhu MF, Yu XX, Tan H, Yuan JJ . Integrated high—precision monitoring method for surface subsidence in mining areas using D—InSAR, SBAS, and UAV technologies. Sci Rep 2024; 14(1): 12445.

[81]

Zhang X, Chen NC, Chen ZQ, Wu LX, Li X, Zhang LP, et al. Geospatial sensor web: A cyber—physical infrastructure for geoscience research and application. Earth Sci Rev 2018; 185: 684-703.

[82]

Chen GL, Shi HT, Wang YJ, Zhou DW, Liu X, Wang XF, et al. Integrated space—air—ground—human monitoring and multiple parameters intelligence sensing of mine geological environment. Metal Mine 2023; 2023(1): 9-16. in Chinese.

[83]

Zhang Y, Ma ZJ, Sun M, Song JN, Yang Y, Li Q, et al. Quantitatively evaluating the ecological product value of nine provinces in the Yellow River Basin from the perspective of the dual—carbon strategy. Land 2023; 12(2): 516.

[84]

Chen F, Zhu YF, Bi YL, Yang YJ, Ma J, Peng SP . High—priority actions to improve carbon sequestration potential for mining ecological restoration in China. Engineering 2025; 47: 16-21.

[85]

Liu YF, Tan RH, Zhou KH, Cui JX, Yuan M . Maps for the reclamation of industrial and mining wasteland in Daye County, Hubei province. China J Maps 2014; 10(1): 9-17.

[86]

Lin YM, Xu ST, Zhou YH, Yang RC . Satisfaction evaluation of ecological restoration in abandoned mines based on the residents’ perception: A case study in Ganzhou, Jiangxi. Sci Rep 2024; 14(1): 27368.

[87]

Liu YS, Lu SS, Chen YF . Spatio—temporal change of urban—rural equalized development patterns in China and its driving factors. J Rural Stud 2013; 32: 320—30.

[88]

Guo LW . Research on the redevelopment of independent mining areas under the background of territorial spatial planning: Taking the three old mining areas of Jincheng as an example. Master’s dissertation. Xuzhou: China University of Mining and Technology; 2021. in Chinese.

[89]

Wang FT, Yan JH . CO2 storage and geothermal extraction technology for deep coal mine . Sustainability 2022; 14(19): 12322.

[90]

Alvarado EJ, Raymond J, Therrien R, Comeau FA, Carreau M . Geothermal energy potential of active northern underground mines: Designing a system relying on mine water. Mine Water Environ 2022; 41(4): 1055-81.

PDF (12225KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/