Abstract
The safety of mining has always been a concern. The occurrence of safety accidents not only endangers human health, but also causes serious damage to the ecological environment. With the continuous upgrade and improvement of mining technology, most mines are undergoing intelligent construction and transformation. In order to analyze security risks that should be focused on the construction of intelligent mines and the technical challenges that will be faced, we used the Web of Science (WOS) Core Collection to identify 283 publications on the field of security risks in intelligent mines from 2013 to 2022. We combined the Vosviewer, CiteSpace, and Bibliometrix R software packages to conduct an in-depth analysis and exquisite visualization of the literature, including the authors, journals, countries, hot topics, and research frontiers. This paper can help scholars comprehensively and quickly understand the research status and hotspots in the field of intelligent mine safety and risk, and it provides theoretical support for further research and exploration in the future.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
All data generated or analyzed during this study are included in this published article.
References
Aparicio G, Iturralde T, Maseda A (2019) Conceptual structure and perspectives on entrepreneurship education research: a bibliometric review. Eur Res Manag Bus Econ 25:105–113. https://doi.org/10.1016/j.iedeen.2019.04.003
Bai JY, Zheng DZ, Jia C (2022) Safety technology risks and countermeasures in the intelligent construction of coal mines. Geofluids 2022:8. https://doi.org/10.1155/2022/4491044
Bing Z, Wang X, Dong ZL, Dong LB, He T (2022) A novel edge computing architecture for intelligent coal mining system. Wirel Netw 10. https://doi.org/10.1007/s11276-021-02858-x
Chen W, Wang XZ (2021) Coal mine safety intelligent monitoring based on wireless sensor network. IEEE Sens J 21:25465–25471. https://doi.org/10.1109/jsen.2020.3046287
Chen CM, Hu ZG, Liu SB, Tseng H (2012) Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opin Biol Ther 12:593–608. https://doi.org/10.1517/14712598.2012.674507
Chen J, Liu GJ, Kang Y, Wu B, Sun RY, Zhou CC, Wu D (2014) Coal utilization in China: environmental impacts and human health. Environ Geochem Hlth 36:735–753 (<Go to ISI>://WOS:000338237000009)
Chen P, Xie YH, Jin P, Zhang DZ (2018) A wireless sensor data-based coal mine gas monitoring algorithm with least squares support vector machines optimized by swarm intelligence techniques. Int J Distrib Sens Netw 14:21. https://doi.org/10.1177/1550147718777440
Chen DW, Nie W, Xiu ZH, Yang B, Du T, Liu Q, Peng HT (2022a) Research on environmental dust pollution: ventilation and dust space-time evolution law of a fully mechanized mining face with 7-m mining height. Environ Sci Pollut Res 29:33627–33644. https://doi.org/10.1007/s11356-021-17967-5
Chen FB, Liu JG, Zhang XW, Wang JX, Jiao HZ, Yu JX (2022b) Review on the art of roof contacting in cemented waste backfill technology in a metal mine. Minerals 12:16. https://doi.org/10.3390/min12060721
Chen J, Zhu C, Du JS, Pu YY, Pan PZ, Bai JB, Qi QX (2022c) A quantitative pre-warning for coal burst hazardous zones in a deep coal mine based on the spatio-temporal forecast of microseismic events. Process Saf Environ Protect 159:1105–1112. https://doi.org/10.1016/j.psep.2022.01.082
Chen Z, Shi DP (2022) The atmospheric environment effects of the COVID-19 pandemic: a metrological study. Int J Environ Res Public Health 19. https://doi.org/10.3390/ijerph191711111
Choi W, Kim J, Lee S, Park E (2021) Smart home and Internet of Things: a bibliometric study. J Clean Prod 301:10. https://doi.org/10.1016/j.jclepro.2021.126908
Cucuzza J (2021) The status and future of mining automation: an overview. IEEE Ind Electron Mag 15:6–12. https://doi.org/10.1109/mie.2020.3039736
Dai Z, Xu S, Wu X, Hu R, Li H, He H, Hu J, Liao X (2022) Knowledge mapping of multicriteria decision analysis in healthcare: a bibliometric analysis. Front Public Health 10. https://doi.org/10.3389/fpubh.2022.895552
Gerassis S, Saavedra A, Taboada J, Alonso E, Bastante FG (2020) Differentiating between fatal and non-fatal mining accidents using artificial intelligence techniques. Int J Min Reclam Environ 34:687–699. https://doi.org/10.1080/17480930.2019.1700008
Hao HQ, Jiang SG, Wang K, Zhang YC, Wu ZY (2022) Multi-branch joint adjustment method of mine ventilation based on sensitivity. Int J Vent 22:207–224. https://doi.org/10.1080/14733315.2022.2077523
He T, Li GD, Sun C, Luo F, Li XQ (2022) Floor failure characteristics of thick coal seam mining above confined aquifer. Mining Metall Explor 39:1553–1562. https://doi.org/10.1007/s42461-022-00623-y
Hua Y, Nie W, Liu Q, Liu XF, Liu CY, Zhou WW, Yu FN (2022) Analysis of diffusion behavior of harmful emissions from trackless rubber-wheel diesel vehicles in underground coal mines. Int J Min Sci Tech 32:1285–1299. https://doi.org/10.1016/j.ijmst.2022.09.004
Huang X, Wang B, Wu C (2022) Realizing smart safety management in the era of safety 4.0: a new method towards sustainable safety. Sustainability 14:21. https://doi.org/10.3390/su142113915
Ji M, Sun ZG, Guo HJ (2022) The application of the foam technology to the dust control for reducing the dust injury of coal mines. Appl Sci-Basel 12:19. https://doi.org/10.3390/app122110878
Jiang HT, Starkman J, Lee YJ, Chen H, Qian XY, Huang MC (2021) Distributed deep learning optimized system over the cloud and smart phone devices. IEEE Trans Mob Comput 20:147–161. https://doi.org/10.1109/tmc.2019.2941492
Li YN, Fang RY, Liu ZH, Jiang LP, Zhang JD, Li HH, Liu CY, Li F (2021) The association between toxic pesticide environmental exposure and Alzheimer’s disease: a scientometric and visualization analysis. Chemosphere 263:13. https://doi.org/10.1016/j.chemosphere.2020.128238
Li DY, Liu ZD, Armaghani DJ, Xiao P, Zhou J (2022a) Novel ensemble tree solution for rockburst prediction using deep forest. Mathematics 10:23. https://doi.org/10.3390/math10050787
Li JQ, Li YC, Zhang W, Dong JY, Cui YA (2022b) Multi-objective intelligent decision and linkage control algorithm for mine ventilation. Energies 15:17. https://doi.org/10.3390/en15217980
Li S, Yu LF, Jiang WJ, Yu HX, Wang XM (2022c) The recent progress china has made in green mine construction, part I: mining groundwater pollution and sustainable mining. Int J Environ Res Public Health 19:19. https://doi.org/10.3390/ijerph19095673
Li SB, Wang L, Ren QH, Zhu CQ, Liu HQ, Liu HQ, Chen LP (2022d) A study on the influence of mining depth on the stress distribution characteristics of stope surrounding rock. Geofluids 2022:12. https://doi.org/10.1155/2022/4178554
Liu Q, Nie W, Hua Y, Peng HT, Ma H, Yin S, Guo LD (2019) Long-duct forced and short-duct exhaust ventilation system in tunnels: Formation and dust control analysis of pressure ventilation air curtain. Process Saf Environ Protect 132:367–377. https://doi.org/10.1016/j.psep.2019.10.012
Liu GM, Xu QQ, Zhao JP, Nie W, Guo QK, Ma GG (2021) Research status of pathogenesis of pneumoconiosis and dust control technology in mine-a review. Appl Sci-Basel 11:18. https://doi.org/10.3390/app112110313
Mahdevari S, Khodabakhshi MB (2021) A hierarchical local-model tree for predicting roof displacement in longwall tailgates. Neural Comput Appl 33:14909–14928. https://doi.org/10.1007/s00521-021-06127-y
McNinch M, Parks D, Jacksha R, Miller A (2019) Leveraging IIoT to improve machine safety in the mining industry. Mining Metall Explor 36:675–681. https://doi.org/10.1007/s42461-019-0067-5
Nie W, Sun N, Liu Q, Guo LD, Xue QQ, Liu CY, Niu WJ (2022) Comparative study of dust pollution and air quality of tunnelling anchor integrated machine working face with different ventilation. Tunn Undergr Sp Tech 122:104377. https://doi.org/10.1016/j.tust.2022.104377
Niu LX, Zhao R (2022) The effect of safety attitudes on coal miners’ human errors: a moderated mediation model. Sustainability 14:14. https://doi.org/10.3390/su14169917
Niu LX, Li XT, Li XM, Liu J (2022) The effects of job demands and job resources on miners’ unsafe behavior-the mediating and moderating role of a sense of calling. Sustainability 14:17. https://doi.org/10.3390/su142114294
Paluchamy B, Mishra DP (2022) Dust pollution hazard and harmful airborne dust exposure assessment for remote LHD operator in underground lead-zinc ore mine open stope. Environ Sci Pollut Res 29:89585–89596. https://doi.org/10.1007/s11356-022-22059-z
Pang CM, Shi YK, Wang X, Li BZ, Luan HJ (2022) Study on a high-efficiency mining technology system for gas outburst in coal seams-example of an H coal mine. Minerals 12:17. https://doi.org/10.3390/min12070795
Shi DP, Xie CY, Xiong LC (2021) Changes in the structures and directions of rock excavation research from 1999 to 2020: a bibliometric study. Adv Civ Eng 2021:10. https://doi.org/10.1155/2021/9274918
Shi DP, Liu X, He LW (2023) A review on mine fire prevention technology and theory based on bibliometric analysis. Sustainability 15:16639. https://doi.org/10.3390/su15241639
Singh A, Kumar D, Hotzel J (2018) IoT based information and communication system for enhancing underground mines safety and productivity: genesis, taxonomy and open issues. Ad Hoc Netw 78:115–129. https://doi.org/10.1016/j.adhoc.2018.06.008
Udomsap AD, Hallinger P (2020) A bibliometric review of research on sustainable construction, 1994–2018. J Clean Prod 254:9. https://doi.org/10.1016/j.jclepro.2020.120073
Wang JH, Yan WZ, Wan ZJ, Wang Y, Lv JK, Zhou AP (2020) Prediction of permeability using random forest and genetic algorithm model. CMES-Comp Model Eng Sci 125:1135–1157. https://doi.org/10.32604/cmes.2020.014313
Wang JM, Xiao J, Xue Y, Wen LX, Shi DP (2023a) Optimization of airflow distribution in mine ventilation networks using the modified sooty tern optimization algorithm. Mining Metall Explor 40:2524–3462. https://doi.org/10.1007/s42461-023-00895-y
Wang JM, Xue Y, Xiao J, Shi DP (2023b) Diffusion characteristics of airflow and co in the dead-end tunnel with different ventilation parameters after tunneling blasting. ACS Omega 8:36269–36283. https://doi.org/10.1021/acsomega.3c04819
Wen P, Guo WB, Tan Y, Bai EH, Ma ZB, Wu DT, Yang WQ (2022) Paste backfilling longwall mining technology for thick coal seam extraction under buildings and above confined aquifers: a case study. Minerals 12:19. https://doi.org/10.3390/min12040470
Wu YL, Wu C, Wang J, Zhang XN, Chen W (2022) A mobile intelligent mine platform with a hybrid fuzzy NN and ATT-CNN prewarning model. Wirel Commun Mob Comput 2022:14. https://doi.org/10.1155/2022/4545936
Xia TQ, Lu JH, Li ZL, Duan HF, Ren HY, Zhang ZZ, Zhang YT (2022) Adaptive control strategy and model of gas-drainage parameters in coal seam. Sustainability 14:16. https://doi.org/10.3390/su14159247
Xiao Z, Qin Y, Xu Z, Antucheviciene J, Zavadskas EK (2022) The journal buildings: a bibliometric analysis (2011–2021). Buildings 12. https://doi.org/10.3390/buildings12010037
Xie CY, Cao J, Shi DP (2021a) A three-dimensional nonlinear dynamic numerical optimization of the risks of stope blasting based on FOA-GRNN. Shock Vib 2021:14. https://doi.org/10.1155/2021/9981078
Xie CY, Nguyen H, Bui XN, Nguyen VT, Zhou J (2021b) Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms. J Rock Mech Geotech Eng 13:1452–1465. https://doi.org/10.1016/j.jrmge.2021.07.005
Xie XH, Lin RP, Yu B, Wen WF, Gu FH, Sivaparthipan CB, Vadivel T (2021c) Internet of Things assisted radio frequency identification based mine safety management platform. Comput Intell 37:1322–1337. https://doi.org/10.1111/coin.12369
Xiu ZH, Nie W, Cai P, Chen DW, Zhang X (2022) Partially enclosed air curtain dust control technology to prevent pollution in a fully mechanized mining face. J Environ Chem Eng 10:10. https://doi.org/10.1016/j.jece.2022.108326
Xue QQ, Nie W, Guo LD, Liu Q, Hua Y, Sun N, Liu CY, Niu WJ (2022) Determining the optimal airflow rate to minimize air pollution in tunnels. Process Saf Environ Protect 157:115–130. https://doi.org/10.1016/j.psep.2021.10.039
Yin S, Nie W, Liu Q, Hua Y (2019) Transient CFD modelling of space-time evolution of dust pollutants and air-curtain generator position during tunneling. J Clean Prod 239:19. https://doi.org/10.1016/j.jclepro.2019.117924
Yin S, Nie W, Guo LD, Liu Q, Hua Y, Cai XJ, Cheng L, Yang B, Zhou WJ (2020) CFD simulations of air curtain dust removal effect by ventilation parameters during tunneling. Adv Powder Tech 31:2456–2468. https://doi.org/10.1016/j.apt.2020.04.008
Yin HJ, Guo GL, Li HZ, Wu ZY (2022) An intelligent optimization design method of the compressed ratio of backfilling body to avoid backfilling mining-induced environmental damage. Environ Sci Pollut Res 29:69022–69036. https://doi.org/10.1007/s11356-022-20135-y
Zhang XQ, Pan YY (2022) Preparation, properties and application of gel materials for coal gangue control. Energies 15:15. https://doi.org/10.3390/en15020557
Zhang LM, Zhong YG, Geng Y (2019) A bibliometric and visual study on urban mining. J Clean Prod 239:8. https://doi.org/10.1016/j.jclepro.2019.118067
Zhang JD et al (2021) A bibliometric and visual analysis of indoor occupation environmental health risks: development, hotspots and trend directions. J Clean Prod 300:16. https://doi.org/10.1016/j.jclepro.2021.126824
Zhang HQ, Liu R, Chun JW, Xue QW, Fan JY (2022a) Study on optimization of the dedusting air duct layout in coal mine roadway. Front Earth Sci 10:16. https://doi.org/10.3389/feart.2022.855438
Zhang KX, Kang L, Chen XX, He MC, Zhu C, Li D (2022b) A review of intelligent unmanned mining current situation and development trend. Energies 15:19. https://doi.org/10.3390/en15020513
Zhang KX et al (2022c) Research on intelligent comprehensive evaluation of coal seam impact risk based on BP neural network model. Energies 15:14. https://doi.org/10.3390/en15093292
Zhang W, Li YC, Li JQ (2022d) Data processing method of mine wind speed monitoring based on an improved fuzzy C-means clustering algorithm. Appl Sci-Basel 12:15. https://doi.org/10.3390/app12199701
Zhao DK, Wu Q, Cui FP, Xu H, Zeng YF, Cao YF, Du YZ (2018) Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China. Hydrogeol J 26:2327–2340. https://doi.org/10.1007/s10040-018-1767-5
Zhou J, Aghili N, Ghaleini EN, Bui DT, Tahir MM, Koopialipoor M (2020a) A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network. Eng Comput 36:713–723. https://doi.org/10.1007/s00366-019-00726-z
Zhou J, Koopialipoor M, Murlidhar BR, Fatemi SA, Tahir MM, Armaghani DJ, Li CQ (2020b) Use of intelligent methods to design effective pattern parameters of mine blasting to minimize flyrock distance. Nat Resour Res 29:625–639. https://doi.org/10.1007/s11053-019-09519-z
Zhou J, Guo HQ, Koopialipoor M, Armaghani DJ, Tahir MM (2021a) Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm. Eng Comput 37:1679–1694. https://doi.org/10.1007/s00366-019-00908-9
Zhou J, Li CQ, Koopialipoor M, Armaghani DJ, Pham BT (2021b) Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC). Int J Min Reclam Environ 35:48–68. https://doi.org/10.1080/17480930.2020.1734151
Zhu JQ, Zheng HT, Yang L, Li SS, Sun LY, Geng JC (2022) Evaluation of deep coal and gas outburst based on RS-GA-BP. Nat Hazards 115:2531–2551. https://doi.org/10.1007/s11069-022-05652-w
Zou JX, Zhang R, Zhou FY, Zhang XQ (2023) Hazardous area reconstruction and law analysis of coal spontaneous combustion and gas coupling disasters in goaf based on DEM-CFD. ACS Omega 8:2685–2697. https://doi.org/10.1021/acsomega.2c07236
Zupic I, Čater T (2015) Bibliometric methods in management and organization. Organ Res Methods 18(3):429–472. https://doi.org/10.1177/1094428114562629
Funding
This research was funded by the Hunan Provincial Natural Science Foundation Project (2021JJ40538), the Scientific research project of the Hunan Provincial Department of Education (21B0133), and the Foundation of Key Laboratory of Large Structure Health Monitoring and Control in Hebei Province (KLLSHMC2104).
Author information
Authors and Affiliations
Contributions
Conceptualization, Z.C. and D.P.S.; methodology, X.Q.Z. and C.Y.X.; software, Z.C.; formal analysis, D.P.S.; resources, D.P.S.; data curation, X.Q.Z.; writing original draft preparation, Z.C. and D.P.S.; writing review and editing, Z.C.; visualization, C.Y.X.; supervision, X.Q.Z.; project administration, D.P.S.; funding acquisition, D.P.S. All authors have read and agreed to the published version of the manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Shi, D., Chen, Z., Zhang, X. et al. Intelligent mine safety risk based on knowledge graph: hotspots and frontiers. Environ Sci Pollut Res 31, 20699–20713 (2024). https://doi.org/10.1007/s11356-024-32561-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-024-32561-1