New quality productive forces empower the mining industry to develop in a comprehensive smart and green pathway

doi:10.12267/j.issn.2096-5931.2024.10.001

Information and Communications Technology and Policy ›› 2024, Vol. 50 ›› Issue (10): 2-7.doi: 10.12267/j.issn.2096-5931.2024.10.001

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New quality productive forces empower the mining industry to develop in a comprehensive smart and green pathway

JIN Feng¹, ZHAN Kai², LYU Wenbin³, LIU Zhongquan⁴, CHEN Jiwei⁵, HUANG Shuwei¹, LIU Mingxi⁶

1. Beijing Modern Research Institute of Recycling Economy, Beijing 100814, China
2. BGRIMM Technology Group, Beijing 100160, China
3. Energy Research Institute, National Development and Reform Commission, Beijing 100045, China
4. Center of Innovation-Driven Development, National Development and Reform Commission, Beijing 100045, China
5. CIECC Overseas Consulting Co., Ltd., Beijing 100048, China
6. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

Received:2024-08-20 Online:2024-10-25 Published:2024-10-28

Abstract

Abstract:

With the accelerated evolution of new industrialization and traditional industries, the development of new quality productive forces has become a major strategic mission on the new journey in the new era, and has also become a necessary path for mining enterprises to seek intelligent, efficient, green and low-carbon high-quality development. From the new quality productive forces perspective, based on domestic and foreign smart mines and China’s mining industry and enterprise development situation, this paper elaborates the problem and challenges, development connotation and development path of the mining enterprises when pursuing digital intelligence and green transformation. It hopes to provide a model reference for the mining enterprises to achieve high-quality transformation and development and explore high-quality development path with Chinese characteristics for the mining industry.

Key words: new quality productive forces, smart mines, green transformation, high-quality transformation and development, development path

CLC Number:

TD67
F426.1

JIN Feng, ZHAN Kai, LYU Wenbin, LIU Zhongquan, CHEN Jiwei, HUANG Shuwei, LIU Mingxi. New quality productive forces empower the mining industry to develop in a comprehensive smart and green pathway[J]. Information and Communications Technology and Policy, 2024, 50(10): 2-7.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.10.001

http://ictp.caict.ac.cn/EN/Y2024/V50/I10/2

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[1]	王国法. 煤炭产业数字化转型和智能化建设支撑新质生产力发展[J]. 中国煤炭工业, 2024(6):6-9.
[2]	胡乃联, 李国清. 我国金属矿山智能化现状与问题探讨[J]. 金属矿山, 2024(1):7-19.
[3]	刘峰, 郭林峰, 张建明, 等. 煤炭工业数字智能绿色三化协同模式与新质生产力建设路径[J]. 煤炭学报, 2024, 49(1):1-15.
[4]	王国法, 庞义辉, 任怀伟, 等. 智慧矿山系统工程及关键技术研究与实践[J]. 煤炭学报, 2024, 49(1):181-202.
[5]	王国法, 庞义辉. 智能化示范煤矿建设成效与发展方向[J]. 智能矿山, 2024, 5(1):2-11.
[6]	李国清, 王浩, 侯杰, 等. 地下金属矿山智能化技术进展[J]. 金属矿山, 2021(11):1-12.
[7]	战凯, 吕潇, 金枫, 等. 地下金属矿智能开采技术与装备现状及“十四五”的思考[J]. 智能矿山, 2021, 2(1):11-15.
[8]	陈丽新, 余海洋, 杨繁, 等. 国家级绿色矿山建设评价指标解析[J]. 中国矿业, 2024, 33(5):72-79.
[9]	王国法, 庞义辉, 任怀伟. 智慧矿山技术体系研究与发展路径[J]. 金属矿山, 2022(5):1-9.
[10]	刘晓明, 邓磊, 王李管, 等. 地下金属矿智能矿山总体规划[J]. 黄金科学技术, 2020, 28(2):309-316.
[11]	吴爱祥, 王勇, 张敏哲, 等. 金属矿山地下开采关键技术新进展与展望[J]. 金属矿山, 2021(1):1-13.
[12]	王双明, 刘浪, 朱梦博, 等. “双碳”目标下煤炭绿色低碳发展新思路[J]. 煤炭学报, 2024, 49(1):152-171.
[13]	许先春. 新时代加快推进新型工业化的战略考量和实践要求[J]. 党的文献, 2024(3):14-24.
[14]	黄奇帆, 李金波. 试论发展新质生产力的内涵逻辑和战略路径[J]. 人民论坛, 2024(14):6-11.
[15]	张占斌, 付霞. 深刻把握发展新质生产力的逻辑内涵[J]. 广东社会科学, 2024(4):5-13,284.
[16]	杜富瑞, 陈国良, 朱铭, 等. 地下金属矿铲运机自主驾驶系统设计[J]. 金属矿山, 2023(6):161-166.
[17]	王国法, 孟令宇. 煤矿智能化及其技术装备发展[J]. 中国煤炭, 2023, 49(7):1-13.
[18]	秦静, 李国清, 侯杰, 等. 矿山生态效益评估模型及其应用[J]. 矿业研究与开发, 2022, 42(11):208-214.

New quality productive forces empower the mining industry to develop in a comprehensive smart and green pathway

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