Design and Development of 3D Visualization Platform for Data Fusion in Mining Process

Chi Zhang; Puxian Jiang; Yin Chen; Hu Ji; Jinyang Li

doi:10.54097/8fwgb359

Authors

Chi Zhang
Puxian Jiang
Yin Chen
Hu Ji
Jinyang Li

DOI:

https://doi.org/10.54097/8fwgb359

Keywords:

Mining, Data fusion, Three.js technology, 3D visualization, Risk warning

Abstract

In view of the common problems such as ground pressure disasters, water inrush, ventilation heat damage that may be induced by mining activities, this paper designs and develops a multi-source data fusion 3D visualization platform with a separation structure of front-end and back-end based on the multi-type online monitoring system established by Yiliang Chihong Mining Co., Ltd. and based on the three-js technical framework, so as to realize real-time online management of multiple types of data including mine production operations, ground pressure monitoring, ventilation heat damage and water inrush. Classified statistical analysis, three-dimensional visual integrated display of risk early warning information and early warning push ensure mine production safety, improve the emergency response efficiency of mine safety risks, and significantly improve the level of mine safety risk information management and control.

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References

[1] Zhang Da, Wang Jinong, Ji Hu, et al. Research and Application of iot System for Mine Micro-Power safety Monitoring [J]. Journal of Communications, 20, 41(2):44-57.

[2] CHENG Gang, WANG Zhenxue, SHI Bin, etal. Research progress of DFOS in safety mining monitoring of mines [J]. Journal Of China Coal Society, 2022, 47 (8): 2923-2949.

[3] Ge Husheng, Gong Fuhui, Sun Yanyan, et al. Construction and application of open-pit intelligent mine system under dual 5G network [J]. Metal Mine, 2022, 555(9):167-173.

[4] Feng Gong. Study on on-line monitoring and early warning method and early warning system of open-pit slope stability [D]. Wuhan: Wuhan University of Technology, 2021, (1-63).

[5] Liu Yanhong. Application research of multi-source information integration and safety control platform for ultra-deep Wells [J]. Mining Research and Development, 202, 42(1):181-186.

[6] Xiao Chunying, Zhang Da, Lu Changwei, et al. Application of intelligent safety assessment and monitoring technology in Shangfangou Molybdenum Mine [J]. Non-ferrous Metals (Mine Section), 2021, 73(6):46-52.

[7] Li Kemin, Wang Shuzhong, Zeng Zhao-Hong, et al. Comprehensive processing system of open pit production information [J]. Journal of China University of Mining & Technology, 2000, 29(5):484-486.

[8] ZHANG Chuanliang, Su Jun.Analysis and application of Surface displacement monitoring technology for pit slope in open pit mine [J]. China Mining Industry, 2022, 31(Supp.1), 269-274.

[9] Yu Wan, Zhang Da, Ji Hu. Design and application of online monitoring system for tailings pond safety based on SaaS [J]. Nonferrous Metals (Mine Section), 2022, 72(6):101-106.

[10] Li Wanfeng. Design and main function realization of data visualization platform based on Java EE [D]. Beijing: University of Chinese Academy of Sciences, 2017. (1-66).

[11] Liu Qiang, Wei Yinhong, Wang Ping, et al. Monitoring Analysis and early warning study on roof stability of natural caving method [J]. China Work Safety Science and Technology, 201, 17(8):91-96.

[12] Tan Aiping, LIU Chunde, DENG Qingxu. Research status and development trend of iot key technologies for Metal mine risk monitoring [J]. Metal Mine, 2020, 523(1):26-36.

[13] Jin Kaiming. Scheme design of online monitoring system for a newly built tailings pond [J]. China Mining Industry, 2019, 28 (Supp. 2), 233-235.

[14] JIN Kaiming. Scheme design of on-line monitoring system for a new tailings reservoir [J]. China Mining Magazine, 2019, 28(Suppl 2),233-235.

[15] Liu Guanzhou, ZHANG Da, ZHANG Yuansheng, et al. Research on integrated platform of multi-source monitoring and early warning information of high and steep slope [J]. Metallurgical Automation, 2018, 42(6):1-7. (in Chinese)

[16] Ma Hongcheng, Zhang Yuju, Liu Weimin. Research and application of Intelligent Street 3D visualization platform based on open source Cesium framework [J]. Surveying, Mapping and Spatial Geographic Information, 2019, 42(8):121-123.

[17] Li Xiangying, Wang Jianmin, Feng Xing-Hao, et al. Three-dimensional visualization platform of space target observation based on Cesium [J]. Application of Computer Systems, 202, 31(8):108−114.

[18] Tan Qiong, Zhang Tao, Ding Lele, et al. Design and development of multi-source 3D data visualization and analysis platform based on Cesium [J]. Surveying, Mapping and Spatial Geographic Information, 2002, 45(6):120-123.

[19] Ma Zhaoyang, Liang Yinping, Zhu Guifan, et al. Research on 3D visualization platform of geological drilling data based on VTK [J]. China Mining, 2019, 29 (Suppl. 1):136-140.