Research of the present situation and development trend of intelligent coal mine construction market
-
摘要:
煤矿智能化建设市场现状及未来发展趋势是行业管理部门、煤炭生产企业、科技支撑企业、其他潜在企业等关注的对象,也是行业内资本投入、技术研发和人才培养的重要指导方向。构建基于生产要素、需求条件、支持性产业、企业战略以及行业机遇和政府支持政策的六维波特钻石模型,宏观分析煤矿智能化建设市场的竞争优势;以2013—2023年的煤矿数量、产能、采选业固定资产投资及智能化建设总投资、建设成效等历史数据为基础,选取数量指标、产能指标和投资指标等不同维度的数据,计算煤矿智能化建设市场渗透率并进行曲线拟合,根据煤炭企业规模集中度、煤炭产能分布集中度和煤炭企业属性集中度对拟合的曲线进一步修正;为进一步衡量煤矿智能化建设市场活力,以国家首批71处智能化示范煤矿为样本,预测2025—2035年煤矿智能化市场容量,在难以全面精准获得煤矿智能化全部子系统历年市场数据的情况下,利用SAC、SAM、SAP 3项产品市场统计数据对煤矿智能化市场分析及预测结果进行可靠性验证;根据政策导向、技术现状和建设实际,提出了煤矿智能化建设市场发展萌芽破土、培育试点、示范建设、全面建设和高级智能5个阶段,基于杰弗里摩尔鸿沟理论,分析了智能化建设各阶段特征及早期市场和主流市场特点,发掘了煤矿智能化建设市场鸿沟及其产生因素,给出跨越鸿沟的具体措施。结果表明:我国煤矿智能化建设市场具有强且持续的竞争力;2023年市场渗透率约为4.74%,预计至2026年渗透率将达10%,是社会资本投入黄金时期,可用较低投入撬动未来较高市场份额;煤矿智能化建设市场容量将于2025年突破
3200 亿元,2035年将累计达到万亿级;当前煤矿智能化建设处于早期市场和主流市场之间的鸿沟区,预计用2~3 a时间将完成鸿沟跨越。Abstract:The current situation and future development trend of the intelligent construction market in coal mines are the focus of attention for industry management departments, coal production enterprises, technology support enterprises, and other potential enterprises. It is also an important guiding direction for capital investment, technology research and development, and talent cultivation in the industry. Construct a six dimensional Porter diamond model based on production factors, demand conditions, supporting industries, enterprise strategies, industry opportunities, and government support policies to macroscopically analyze the competitive advantages of the coal mine intelligent construction market; Based on historical data such as the number of coal mines, production capacity, fixed assets investment in mining and dressing industry, total investment in intelligent construction, and construction results from 2013 to 2023, select data in different dimensions such as quantity indicators, production capacity indicators, and investment indicators, calculate the market penetration rate of intelligent construction of coal mines and perform curve fitting, and further modify the fitted curve according to the concentration of coal enterprise scale, concentration of coal production capacity distribution, and concentration of coal enterprise attributes; To further measure the market vitality of coal mine intelligent construction, taking the first batch of 71 intelligent demonstration coal mines in China as samples, the market capacity of coal mine intelligent construction from 2025 to 2035 is predicted. In the case where it is difficult to obtain comprehensive and accurate market data of all subsystems of coal mine intelligent construction over the years, SAC, SAM, and SAP product market statistical data are used to verify the reliability of coal mine intelligent market analysis and prediction results; Based on policy guidance, technological status, and actual construction, five stages of the development of the coal mine intelligent construction market have been proposed: budding, cultivating pilot projects, demonstration construction, comprehensive construction, and advanced intelligence. Based on the Jeffrey Moore divide theory, the characteristics of each stage of intelligent construction and the characteristics of early and mainstream markets have been analyzed, and the market gap and its factors in coal mine intelligent construction have been explored. Specific measures to bridge the gap have been proposed. China’s coal mine intelligent construction market has strong and sustained competitiveness; The market penetration rate is expected to reach 10% by 2026, with a market penetration rate of approximately 4.74% in 2023. This is a golden period for social capital investment, and lower investment can be used to leverage higher market share in the future; The market capacity for intelligent construction of coal mines is expected to exceed 320 billion yuan by 2025 and reach trillions of yuan by 2035; The current intelligent construction of coal mines is in a gap area between the early market and the mainstream market, and it is expected to cross the gap in 2−3 years.
-
Keywords:
- intelligent coal mine /
- market penetration rate /
- market capacity /
- market period /
- market chasm
-
-
表 1 2013—2023年煤矿及智能化建设相关数据
Table 1 Relevant data of coal mine and intelligent construction from 2013 to 2023
年份 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 煤矿数量/处 12000 11000 10800 8000 6794 5800 5300 4700 4500 4400 4300 总产能/亿t 39.74 38.74 37.5 34.1 35.2 36.8 38.5 39 41.3 45.6 47.1 智能化煤矿
建设数量/处1 1 3 18 40 120 180 242 312 572 758 智能化产能/亿t 0.06 0.10 0.30 1.00 2.00 3.00 5.00 8.50 13.36 19.36 27.7 采选业固定资产
投资/亿元5263 4682 4008 3038 2648 2804 3633.98 3608.55 4009.09 4988 5591.55 智能化建设
累计总投资/亿元0.5 1.5 10 30 60 220 430 650 1000 1470 2000 智能化建设
年总投资/亿元0.5 1 8.5 20 30 160 210 220 350 470 530 表 2 早期和主流市场价值属性对比
Table 2 Comparison of early and mainstream market value attributes
基于产品的早期市场价值属性 基于系统的主流市场价值属性 很炫酷的产品(如早期的管控平台等)
颠覆性创新产品
便于操作使用
技术架构清晰
价格适宜
功能独特创新最完整的整体技术产品及服务
智能化建设整体效果不错
持续性创新产品集群
多标准兼容,产品间互联互通
整体智能化建设投资额
安全、绿色、高效等多维度成效
可以“一矿一策”量身打造,具备独立运维能力或可选择一站式运维服务 -
[1] 中国煤炭工业协会.2023煤炭行业发展年度报告[R/OL].(2024-03-28)[2024-05-20].https://www.coalchina.org.cn/index.php?a=show&catid=464&id=152581. [2] 刘峰,郭林峰,赵路正. 双碳背景下煤炭安全区间与绿色低碳技术路径[J]. 煤炭学报,2022,47(1):1−15. LIU Feng,GUO Linfeng,ZHAO Luzheng. Research on coal safety range and green low-carbon technology path under the dual-carbon background[J]. Journal of China Coal Society,2022,47(1):1−15.
[3] 王国法,杜毅博,徐亚军,等. 中国煤炭开采技术及装备50年发展与创新实践:纪念《煤炭科学技术》创刊50周年[J]. 煤炭科学技术,2023,51(1):1−18. WANG Guofa,DU Yibo,XU Yajun,et al. Development and innovation practice of China coal mining technology and equipment for 50 years:Commemorate the 50th anniversary of the publication of Coal Science and Technology[J]. Coal Science and Technology,2023,51(1):1−18.
[4] 王国法,赵国瑞,任怀伟. 智慧煤矿与智能化开采关键核心技术分析[J]. 煤炭学报,2019,44(1):34−41. WANG Guofa,ZHAO Guorui,REN Huaiwei. Analysis on key technologies of intelligent coal mine and intelligent mining[J]. Journal of China Coal Society,2019,44(1):34−41.
[5] 范京道,王国法,张金虎,等. 黄陵智能化无人工作面开采系统集成设计与实践[J]. 煤炭工程,2016,48(1):84−87. FAN Jingdao,WANG Guofa,ZHANG Jinhu,et al. Design and practice of integrated system for intelligent unmanned working face mining system in Huangling coal mine[J]. Coal Engineering,2016,48(1):84−87.
[6] 任怀伟,薛忠新,巩师鑫,等. 张家峁煤矿智能化建设与实践[J]. 中国煤炭,2020,46(12):54−60. REN Huaiwei,XUE Zhongxin,GONG Shixin,et al. Intelligent construction and its practice in Zhangjiamao coal mine[J]. China Coal,2020,46(12):54−60.
[7] 关于加快煤矿智能化发展的指导意见[N]. 中国煤炭报,2020−03−05(002). Guiding Opinions on Accelerating the Intelligent Development of Coal Mines [N]. China Coal News,2020−03−05(002).
[8] 王国法,庞义辉,刘峰,等. 智能化煤矿分类、分级评价指标体系[J]. 煤炭科学技术,2020,48(3):1−13. WANG Guofa,PANG Yihui,LIU Feng,et al. Specification and classification grading evaluation index system for intelligent coal mine[J]. Coal Science and Technology,2020,48(3):1−13.
[9] 王国法,徐亚军,孟祥军,等. 智能化采煤工作面分类、分级评价指标体系[J]. 煤炭学报,2020,45(9):3033−3044. WANG Guofa,XU Yajun,MENG Xiangjun,et al. Specification,classification and grading evaluation index for smart longwall mining face[J]. Journal of China Coal Society,2020,45(9):3033−3044.
[10] 仲蕊. 大海则煤矿智能化建设质效并举[N]. 中国能源报,2023−06−05(016). Zhong Rui. The quality and efficiency of intelligent coal mine construction in the sea should be improved simultaneously [N]. China Energy News,2023−06−05(016).
[11] 王国法. 煤矿智能化最新技术进展与问题探讨[J]. 煤炭科学技术,2022,50(1):1−27. WANG Guofa. New technological progress of coal mine intelligence and its problems[J]. Coal Science and Technology,2022,50(1):1−27.
[12] 雷亚军,李增林,韩存地,等. 10 m超大采高智能化综采成套技术与装备[J]. 智能矿山,2024,5(3):7−11. LEI Yajun,LI Zenglin,HAN Cundi,et al. Complete set of intelligent fully mechanized mining technology and equipment with 10 m super high mining height[J]. Journal of Intelligent Mine,2024,5(3):7−11.
[13] 王忠鑫, 田会, 王东, 等. 露天采矿科学目标的演变与未来发展趋势[J]. 煤炭学报, 2024, 49(S1): 129−153. WANG Zhongxin, TIAN Hui, WANG Dong, et al. Evolution and future development trend of scientific objectives of open-pit mining[J]. Journal of China Coal Society, 2024, 49(S1): 129−153.
[14] 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. WANG Guofa,PANG Yihui. Construction effect and development direction of intelligent demonstration coal mine[J]. Journal of Intelligent Mine,2024,5(1):2−11.
[15] 尤文顺. 国家能源集团打造“1235” 煤矿智能化建设模式 加快推进煤炭工业高质量发展[J]. 智能矿山,2022,3(2):26−33. YOU Wenshun. National Energy Group builds “1235” intelligent coal mine construction mode and accelerates the high-quality development of coal industry[J]. Journal of Intell Igent Mine,2022,3(2):26−33.
[16] 蔡峰,孔令华,程志恒. 大型煤炭企业煤矿智能化建设进展、问题和对策研究[J]. 中国煤炭,2023,49(6):14−18. CAI Feng,KONG Linghua,CHENG Zhiheng. Research on the progress,problems,and countermeasures of intelligent construction in large coal enterprises' coal mines[J]. China Coal,2023,49(6):14−18.
[17] 王世斌,赵宇波,范倩楠,等. 定标准 融数据 汇模型 助力行业智能化建设与发展:陕西煤业化工集团有限责任公司煤矿智能化数据融合研究与实践[J]. 智能矿山,2023,4(8):2−11. WANG Shibin,ZHAO Yubo,FAN Qiannan,et al. Standard-setting data fusion model helps the construction and development of industry intelligence—Research and practice of coal mine intelligent data fusion in Shaanxi Coal Industry and Chemical Industry Group Co. ,Ltd[J]. Journal of Intelligent Mine,2023,4(8):2−11.
[18] 孙希奎. 山东能源智能化矿井建设实践探索与典型应用场景[J]. 智能矿山,2024,5(1):17−24. SUN Xikui. Practical exploration and typical application scenarios of intelligent mine construction in Shandong energy[J]. Journal of Intelligent Mine,2024,5(1):17−24.
[19] 王璐玮,汪涛,江昕阳,等. 基于竞合关系演化的中国集成电路本土企业市场渗透率[J]. 经济地理,2021,41(12):110−121. WANG Luwei,WANG Tao,JIANG Xinyang,et al. Market penetration rate of Chinese domestic enterprises of integrated circuit based on the co-opetition evolution[J]. Economic Geography,2021,41(12):110−121.
[20] 王春刚. 敢为人先 创新创效 争当智能化煤矿建设的领跑者[J]. 中国煤炭工业,2023(7):24−25. WANG Chungang. Dare to be the first to innovate and create efficiency,and strive to be the leader of intelligent coal mine construction[J]. China Coal Industry,2023(7):24−25.
[21] 徐礼文,廖丹. 大样本线性回归模型的子抽样及变量选择[J]. 统计与决策,2022,38(2):5−9. XU Liwen,LIAO Dan. Subsampling and variable selection of linear regression model with large samples[J]. Statistics & Decision,2022,38(2):5−9.
[22] 刘峰. 对煤矿智能化发展的认识和思考[J]. 中国煤炭工业,2020(8):5−9. LIU Feng. Understanding and thinking on the intelligent development of coal mines[J]. China Coal Industry,2020(8):5−9.
[23] 摩尔 杰弗里,祝惠娇. 跨越鸿沟:颠覆性产品营销指南[M]. 北京:机械工业出版社,2022:251. -
期刊类型引用(10)
1. 苏现波,丁锐,赵伟仲,严德天,李瑞明,王一兵,王海超,黄胜海,周艺璇,王小明,伏海蛟. 准南低质煤层气原位提质增量研究. 煤炭学报. 2025(01): 532-545 . 百度学术
2. 林海涛,李玲,唐淑玲,田文广,李杰,孟芹. 二连盆地富气凹陷低阶煤煤层气成因及成藏机制. 煤田地质与勘探. 2024(02): 60-69 . 百度学术
3. 李勇,郭涛,刘欣妍,彭苏萍. 中国低煤阶煤层气资源潜力及发展方向. 石油与天然气地质. 2024(06): 1537-1554 . 百度学术
4. 简阔,傅雪海,夏大平,冯睿智,李咪,吉小峰. 我国次生生物成因煤层气研究进展. 煤矿安全. 2023(04): 11-21 . 百度学术
5. 张娜,伏海蛟,刘玲,杨曙光,王刚,李跃国,王佳伟,杨昊宇. 米泉低阶煤煤层气中CO_2异常赋存特征与成因. 新疆地质. 2023(02): 240-245 . 百度学术
6. 吴兆剑,韩效忠,李紫楠,胡航,来强. 准噶尔盆地中生代“下煤上铀”地层结构的沉积机理. 煤炭科学技术. 2023(12): 52-64 . 本站查看
7. 唐淑玲,汤达祯,孙斌,陶树,张泰源,蒲一帆,张奥博,支元昊. 富(含)CO_2煤层气多源多阶成因研究进展及勘探开发启示. 煤田地质与勘探. 2022(03): 58-68 . 百度学术
8. 刘忠,张继东,鲁秀芹,穆福元,张聪,陈美瑾,邹雨时,赵洋,钟小刚. 煤岩二次暂堵压裂裂缝扩展规律试验研究. 煤炭科学技术. 2022(06): 254-259 . 本站查看
9. 姜延航,白刚,周西华,王玉玺,付天予,胡坤. 煤吸附CH_4体积测试与分析. 煤炭科学技术. 2022(12): 144-152 . 本站查看
10. 涂志民,王兴刚,车延前,张士钊,李鹏,曹志雄. 三塘湖盆地低阶煤煤层气成藏主控因素. 新疆石油地质. 2021(06): 683-689 . 百度学术
其他类型引用(5)