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基于新一代信息技术的能源与矿业治理体系发展战略研究
王国法, 张铁岗, 王成山, 庞义辉, 杨挺, 孙春生, 胡亚辉, 张鹏
中国工程科学 ›› 2022, Vol. 24 ›› Issue (1) : 176-189.
PDF(5006 KB)
PDF(5006 KB)
基于新一代信息技术的能源与矿业治理体系发展战略研究
Development of Energy and Mining Governance System Based on New-Generation Information Technology
本文针对我国能源与矿业安全发展面临的风险与挑战，分析了碳达峰、碳中和目标下我国能源需求变化及发展格局，发现新能源和化石能源相互助力、耦合发展将是今后我国形成多种能源融合稳定供给的必由之路。文章研究了5G、大数据、区块链、人工智能等新一代信息技术的特点及其在能源与矿业领域的应用前景，提出了基于新一代信息技术助力我国能源与矿业治理体系变革的技术路径，从能源生产、能源运输、能源消费、能源市场与政府监管五大环节详细论述了新一代信息技术与能源矿业开发利用技术融合发展的技术方向及应用场景，阐述了新一代信息技术支撑能源与矿业治理体系重构，构建能源矿业体系治理新模式的战略思路，提出加强基础理论与技术装备研发、支持能源与矿业领域新基建、提供政策资金保障及建立国家能源与矿业安全生产和交易智能化平台等建议。
In view of the risks and challenges facing China’s energy and mining security, this article analyzes the changes and development pattern of China’s energy demand under the target of carbon peak and carbon neutrality. The coupling development of new and fossil energy resources is an inevitable path for ensuring a stable supply of diversified energies in China in the future. In this article, we study the characteristics of fifth-generation communication, big data, blockchain, and artificial intelligence technologies and their application prospects in the energy and mining fields, and propose a technological path for reforming China’s energy and mining governance system based on the new-generation information technologies. Specifically, we explore the integration of the newgeneration information technologies with the energy and mining development technologies and their application to energy production, transportation, consumption, market, and government regulation. Moreover, we propose a strategic approach of building a new governance model of energy and mining industries based on the new-generation information technologies. To this end, it is necessary to strengthen basic research and equipment development, support new infrastructure construction in energy and mining fields, provide policy and fund guarantee, and establish a national intelligent platform for energy and mining safety production and trade.
能源安全 / 新一代信息技术 / 能源与矿业 / 政府监管 / 治理体系
energy security / next-generation information technology / energy and mining / government regulation / governance systems
| [1] |
吴立新. 双碳目标下煤炭的责任和发展[J]. 煤炭经济研究, 2021, 41(7): 1. Wu L X. The responsibility and development of coal industry under carbon peak and neutrality goals [J]. Coal Economic Research, 2021, 41(7): 1.
|
| [2] |
王祥喜. 数字驱动转型发展 智慧引领国家能源 [J]. 高科技与 产业化, 2021, 27(6): 48–51. Wang X X. The restructuring and development of national energy industry by data driven and intelligent technology[J]. High Technology & Industrialization, 2021, 27(6): 48–51.
|
| [3] |
王国法, 赵国瑞, 胡亚辉. 5G技术在煤矿智能化中的应用展望 [J]. 煤炭学报, 2020, 45(1): 16–23. Wang G F, Zhao G R, Hu Y H. Application prospect of 5G technology in coal mine intelligence [J]. Journal of China Coal Society, 2020, 45(1): 16–23.
|
| [4] |
吴群英, 蒋林, 王国法, 等.智慧矿山顶层架构设计及其关键技术 [J]. 煤炭科学技术, 2020, 48(7): 80–91. Wu Q Y, Jiang L, Wang G F, et al. Top-level architecture design and key technologies of smart mine [J]. Coal Science and Technology, 2020, 48(7): 80–91.
|
| [5] |
方晨, 郭渊博, 王一丰, 等.基于区块链和联邦学习的边缘计算隐 私保护方法 [J/OL]. 通信学报, 1–13（2021-10-25）[2021-10-28]. http://kns.cnki.net/kcms/detail/11.2102.TN.20211025.1100.006. html. Fang C, Guo Y B, Wang Y F, et al. Edge computing privacy protection method based on blockchain and federated learning [J/ OL]. Journal on Communication, 1–13（2021-10-25） [2021-10-28]. http://kns.cnki.net/kcms/detail/11.2102.TN.20211025.1100.006. html.
|
| [6] |
王国法, 任世华, 庞义辉, 等.煤炭工业“十三五”发展成效与“双 碳”目标实施路径 [J]. 煤炭科学技术, 2021, 49(9): 1–8. Wang G F, Ren S h, Pang Y H, et al. Development achievements of China’s coal industry during the 13th Five-Year Plan period and implementation path of “dual carbon” target [J]. Coal Science and Technology, 2021, 49(9): 1–8.
|
| [7] |
秦艳, 王东燕, 杨美艳, 等.山西省“十四五”煤炭消费总量控制 目标与对策研究 [J]. 中国煤炭, 2021, 47(9): 41–47. Qin Y, Wang D Y, Yang M Y, et al. Discussion on the goals and countermeasures of total coal consumption control in Shanxi during the 14th Five-Year Plan [J]. China Coal, 2021, 47(9): 41–47.
|
| [8] |
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/ OL]. 金属矿山 , 1–12（2021-07-26）[2021-10-28]. http://kns. cnki.net/kcms/detail/34.1055.TD.20210726.1042.002.html. Wang G F, Pang Y H, Ren H W. Research and development path of smart mine technology system [J]. Metal Mine, 1–12（2021- 07-26） [2021-10-28]. http://kns.cnki.net/kcms/detail/34.1055. TD.20210726.1042.002.html.
|
| [9] |
Foukas X, Patounas G, Elmokashfi A, et al. Network slicing in 5G: Survey and challenges [J]. IEEE Communications Magazine, 2017, 55(5): 94–100.
|
| [10] |
王国法, 赵国瑞, 胡亚辉. 5G技术在煤矿智能化中的应用展望 [J]. 煤炭学报, 2020, 45(1): 16–23. Wang G F, Zhao G R, Hu Y H. Application prospect of 5G technology in coal mine intelligence [J]. Journal of China Coal Society, 2020, 45(1): 16–23.
|
| [11] |
杨绿溪, 何世文, 王毅, 等. 面向5G无线通信系统的关键技术综 述 [J]. 数据采集与处理, 2015, 30(3): 469–485. Yang L X, He S W, Wang Y, et al. Key technologies for 5G wireless communication system [J]. Journal of Data Acquisition and Processing, 2015, 30(3): 469–485.
|
| [12] |
Ahmed I, Khammari H, Shahid A, et al. A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives [J]. IEEE Communications Surveys & Tutorials, 2018, 20(4): 3060–3097.
|
| [13] |
Gao H, Su Y, Zhang S, et al. Joint antenna selection and power allocation for secure co-time co-frequency full-duplex massive MIMO systems [J]. IEEE Transactions on Vehicular Technology, 2021, 70(1): 655–665.
|
| [14] |
贾向东, 纪珊珊, 范巧玲, 等. 基于非正交多接入的多层全双工 异构网回程方案及性能研究 [J]. 电子与信息学报, 2019, 41(4): 945–951. Jia X D, Ji S S, Fan Q L, et al. Backhaul scheme and performance study of full-duplex multi-tier heterogeneous networks based on non-orthogonal multiple access [J]. Journal of Electronics & Information Technology, 2019, 41(4): 945–951.
|
| [15] |
Ordonez-Lucena J, Ameigeiras P, Lopez D, et al. Network slicing for 5G with SDN/NFV: Concepts, architectures, and challenges [J]. IEEE Communications Magazine, 2017, 55(5): 80–87.
|
| [16] |
苟建国, 吕高锋, 孙志刚, 等. 网络功能虚拟化技术综述 [J]. 计 算机工程与科学, 2019, 41(2): 260–267. Gou J G, Lyu G F, Sun Z G, et al. Review on network virtualization technology [J]. Computer Engineering & Science, 2019, 41(2): 260–267.
|
| [17] |
郝爽, 李国良, 冯建华, 等. 结构化数据清洗技术综述 [J]. 清华 大学学报(自然科学版), 2018, 58(12): 1037–1050. Hao S, Li G L, Feng J H, et al. Survey of structured data cleaning methods [J]. Journal of Tsinghua University (Science and Technology), 2018, 58(12): 1037–1050.
|
| [18] |
刘国龙, 赵俊华, 文福拴, 等. 面向配用电侧负荷数据的深度 端到端超分辨率感知方法 [J].电力系统自动化, 2020, 44(24): 28–35. Liu G L, Zhao J H, Wen F S, et al. Deep end-to-end superresolution perception method for load data at distribution side [J]. Automation of Electric Power Systems, 2020, 44(24): 28–35.
|
| [19] |
Gupta S, Kar A K, Baabdullah A, et al. Big data with cognitive computing: A review for the future [J]. International Journal of Information Management, 2018, 42: 78–89.
|
| [20] |
高强, 张凤荔, 王瑞锦, 等. 轨迹大数据:数据处理关键技术研究 综述 [J]. 软件学报, 2017, 28(4):959–992. Gao Q, Zhang F L, Wang R J, et al. Trajectory big data: A review of key technologies in data processing [J]. Journal of Software, 2017, 28(4): 959–992.
|
| [21] |
冯贵兰, 李正楠, 周文刚. 大数据分析技术在网络领域中的研究 综述 [J]. 计算机科学, 2019, 46(6): 1–20. Feng G L, Li Z N, Zhou W G. Research on application of big data analysis in network [J]. Computer Science, 2019, 46(6): 1–20.
|
| [22] |
王国法, 范京道, 徐亚军, 等. 煤炭智能化开采关键技术创新进 展与展望 [J].工矿自动化, 2018, 44(2): 5–12. Wang G F, Fan J D, Xu Y J, et al. Innovation progress and prospect on key technologies of intelligent coal mining [J]. Industry and Mine Automation, 2018, 44(2): 5–12.
|
| [23] |
高文. 煤矿监控类系统远程故障分析平台 [J]. 工矿自动化, 2019, 45(2): 105–108. Gao W. Remote fault analysis platform of coal mine monitoring [J]. Industry and Mine Automation, 2019, 45(2): 105–108.
|
| [24] |
舒胜, 谢应明, 杨文宇, 等. 光伏发电预测方法研究进展[J]. 热能 动力工程, 2020, 35(11): 1–11. Shu S, Xie Y M, Yang W Y, et al. A review of photovoltaic power generation forecasting methods [J]. Journal of Engineering for Thermal Energy and Power, 2020, 35(11): 1–11.
|
| [25] |
杨挺, 赵黎媛, 王成山. 人工智能在电力系统及综合能源系统中的应用综述 [J]. 电力系统自动化, 2019, 43(1): 2–14. Yang T, Zhao L Y, Wang C S. Review on application of artificial intelligence in power system and integrated energy system [J]. Automation of Electric Power Systems, 2019, 43(1): 2–14.
|
| [26] |
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 G F, Zhao G R, Ren H W. Analysis on key technologies of intelligent coal mine and intelligent mining [J]. Journal of China Coal Society, 2019, 44(1): 34–41.
|
| [27] |
Li Z, Barenji A V, Huang G Q. Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform [J]. Robotics and Computer-integrated Manufacturing, 2018, 54: 133–144.
|
| [28] |
张妍, 王龙泽, 吴靖, 等. 区块链与综合能源系统：应用及展望 [J]. 中国科学基金, 2020, 34(1): 31–37. Zhang Y, Wang L Z, Wu J, et al. Blockchain and integrated energy system: application and prospect [J]. Bulletin of National Science Foundation of China, 2020, 34(1): 31–37.
|
| [29] |
孙继平. 煤矿智能化与矿用5G和网络硬切片技术 [J]. 工矿自动 化, 2021, 47(8): 1–6. Sun J P. Coal mine intelligence, mine 5G and network hard slicing technology [J]. Industry and Mine Automation, 2021, 47(8): 1–6.
|
| [30] |
范京道, 闫振国, 李川. 基于5G技术的煤矿智能化开采关键技术 探索 [J]. 煤炭科学技术, 2020, 48(7): 92–97. Fan J D, Yan Z G, Li C. Exploration of intelligent coal mining key technology based on 5G technology [J]. Coal Science and Technology, 2020, 48(7): 92–97.
|
| [31] |
蒋星星, 李春香. 2013—2017年全国煤矿事故统计分析及对策 [J]. 煤炭工程, 2019, 51(1): 101–105. Jiang X X, Li C X. Statistical analysis on coal mine accidents in China from 2013 to 2017 and discussion on the countermeasures [J]. Coal Engineering, 2019, 51(1): 101–105.
|
| [32] |
冯帆, 于娟, 张曜, 等. 水煤浆快速热解特性及影响因素研究 [J/ OL]. 热能动力工程, 2021(11): 133–140 (2021-12-02) [2021-12- 15]. https://doi. org/10. 16146/j. cnki. rndlgc. 2021. 11. 019. Feng F, Yu J, Zhang Y, et al. Study on characteristics and influencing factors of coal-water slurry pyrolysis [J/OL]. Journal of Engineering for Thermal Energy and Power, 2021(11): 133–140 (2021-12-02) [2021-12-15]. https://doi. org/10. 16146/j. cnki. rndlgc. 2021. 11. 019.
|
| [33] |
Wang Z, Wang Z, Xu G, et al. Sustainability assessment of straw direct combustion power generation in China: From the environmental and economic perspectives of straw substitute to coal [J]. Journal of Cleaner Production, 2020, 273: 122890.
|
| [34] |
杨慧琴, 孙磊, 赵西超. 基于区块链技术的互信共赢型供应链信 息平台构建 [J]. 科技进步与对策, 2018, 35(5): 21–31. Yang H Q, Sun L, Zhao X C. Build mutual trust supply chain information system based on blockchain [J]. Science & Technology Process and Policy, 2018, 35(5): 21–31.
|
| [35] |
Li M, Duan Y, He X, et al. Image positioning and identification method and system for coal and gangue sorting robot [J]. International Journal of Coal Preparation and Utilization, 2020: 1–19.
|
| [36] |
杨辉明, 雷勇. 基于改进马尔科夫链的风电日前不确定性建模 方法 [J]. 南方电网技术, 2021, 15(7): 54–60. Yang H M, Lei Y. Day-ahead uncertainty simulation method of wind power based on improved markov chain [J]. Southern Power System Technology, 2021, 15(7): 54–60.
|
| [37] |
舒胜, 谢应明, 杨文宇, 等. 光伏发电预测方法研究进展 [J]. 热 能动力工程, 2020, 35(11): 1–11. Shu S, Xie Y M, Yang W Y, et al. A review of photovoltaic power generation forecasting methods [J]. Journal of Engineering for Thermal Energy and Power, 2020, 35(11): 1–11.
|
| [38] |
谭征. 区块链视角下物流供应链重构研究 [J]. 商业经济研究, 2019 (5): 83–86. Tan Z. Reformation of logistic supply chain on the aspect of blockchain technology [J]. Journal of Commercial Economics, 2019 (5): 83–86.
|
| [39] |
Zhang J, Wang Z, Liu S, et al. Prediction of hydrate deposition in pipelines to improve gas transportation efficiency and safety [J]. Applied Energy, 2019, 253: 113521.
|
| [40] |
刘云鹏, 许自强, 李刚, 等. 人工智能驱动的数据分析技术在电 力变压器状态检修中的应用综述 [J]. 高电压技术, 2019, 45(2): 337–348. Liu Y P, Xu Z Q, Li G, et al. Review on applications of artificial intelligence driven data analysis technology in condition based maintenance of power transformers [J]. High Voltage Engineering, 2019, 45(2): 337–348.
|
| [41] |
侯仁政, 张岩, 张小易, 等. 基于多源数据融合的电力系统故障 诊断与评估平台开发 [J]. 机电工程, 2017, 34(10):1173–1179. Hou R Z, Zhang Y, Zhang X Y, et al. Power system fault diagnosis and evaluation platform based on multi-source data fusion [J]. Journal of Mechanical & Electrical Engineering, 2017, 34(10): 1173–1179.
|
| [42] |
黄山, 吴振升, 任志刚, 等. 电力智能巡检机器人研究综述 [J]. 电 测与仪表, 2020, 57(2): 26–38. Huang S, Wu Z S, Ren Z G, et al. Review of electric power intelligent inspection robot [J]. Electrical Measurement & Instrumentation, 2020, 57(2): 26–38.
|
| [43] |
Marinakis V, Doukas H, Tsapelas J, et al. From big data to smart energy services: An application for intelligent energy management [J]. Future Generation Computer Systems, 2020, 110: 572–586.
|
| [44] |
Zhang Y, Ma S, Yang H, et al. A big data driven analytical framework for energy-intensive manufacturing industries [J]. Journal of Cleaner Production, 2018, 197: 57–72.
|
| [45] |
Yang T, Zhao L, Li W, et al. Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach[J]. Applied Energy, 2021, 300:117335.
|
| [46] |
Devlin M A, Hayes B P. Non-intrusive load monitoring and classification of activities of daily living using res-idential smart meter data[J]. IEEE Transactions on Consumer Electronics, 2019, 65(3): 339-348.
|
| [47] |
Suoniemi S, Meyer-Waarden L, Munzel A, et al. Big data and firm performance: The roles of market-directed capabilities and business strategy [J]. Information & Management, 2020, 57(7): 103365.
|
| [48] |
郭庆来, 王博弘, 田年丰, 等. 能源互联网数据交易:架构与关键 技术 [J]. 电工技术学报, 2020, 35(11): 2285–2295. Guo Q L, Wang B H, Tian N F, et al. Data transactions in Energy Internet: Architecture and key technologies [J]. Transactions of China Electrotechnical Society, 2020, 35(11): 2285–2295.
|
| [49] |
杨锦春, 刘慧. 能源互联网的资源配置效应研究 [J]. 技术经济 与管理研究, 2020 (1): 109–113. Yang J C, Liu H. Research on resource allocation effect of energy internet [J]. Journal of Technical Economics & Management, 2020 (1): 109–113.
|
| [50] |
Thakur S, Breslin J G. Peer to peer energy trade among microgrids using blockchain based distributed coalition formation method [J]. Technology and Economics of Smart Grids and Sustainable Energy, 2018, 3(1): 1–17.
|
| [51] |
Kim Y M, Jung D, Chang Y, et al. Intelligent micro energy grid in 5G era: Platforms, business cases, testbeds, and next generation applications [J]. Electronics, 2019, 8(4): 468.
|
| [52] |
刘永辉, 张显, 孙鸿雁, 等. 能源互联网背景下电力市场大数据 应用探讨 [J]. 电力系统自动化, 2021, 45(11): 1–10. Liu Y H, Zhang X, Sun H Y, et al. Discussion on application of big data in electricity market in background of energy internet [J]. Automation of Electric Power Systems, 2021, 45(11): 1–10.
|
| [53] |
王湘军, 庞尚尚. 新技术赋能市场监管智能化：图景、障碍与进 路 [J]. 行政论坛, 2021, 28(3): 107–116. Wang X J, Pang S S. Intelligence empowerment of market regulatory by new technology [J]. Administrative Tribune, 2021, 28(3): 107–116.
|
| [54] |
陈冬勤, 常鹏飞, 彭阿辉, 等. 基于物联网的高速公路建设期环 境保护监管系统设计 [J]. 无线电工程, 2020, 50(4): 280–284. Chen D Q, Chang P F, Peng A H, et al. Design of environmental protection supervision system in highway construction based on internet of things [J]. Radio Engineering, 2020, 50(4): 280–284.
|
| [55] |
王国法, 任怀伟, 赵国瑞, 等. 煤矿智能化十大“痛点”解析及对 策 [J]. 工矿自动化, 2021, 47(6): 1–11. Wang G F, Ren H W, Zhao G R, et al. Analysis and countermeasures of ten pain points of intelligent coal mine [J]. Industry and Mine Automation, 2021, 47(6): 1–11.
|
| [56] |
马小平, 杨雪苗, 胡延军, 等. 人工智能技术在矿山智能化建设 中的应用初探 [J]. 工矿自动化, 2020, 46(5): 8–14. Ma X P, Yang X M, Hu Y J, et al. Preliminary study on application of artificial intelligence technology in mine intelligent construction [J]. Industry and Mine Automation, 2020, 46(5): 8–14.
|
| [57] |
路亚彬, 张新晓, 马良俊, 等. 危险化学品装卸运输一体化安全 风险预警平台设计与研究 [J]. 中国安全生产科学技术, 2019, 15(5): 179–184. Lu Y B, Zhang X X, Ma L J, et al. Design and research of integrated safety risk early warning platform for hazardous chemicals handling and transportation [J]. Journal of Safety Science and Technology, 2019, 15(5): 179–184.
|
| [58] |
庞义辉, 王国法, 任怀伟. 智慧煤矿主体架构设计与系统平台建 设关键技术 [J]. 煤炭科学技术, 2019, 47(3): 35–42. Pang Y H, Wang G F, Ren H W. Main structure design of intelligent coal mine and key technology of system platform construction [J]. Coal Science and Technology, 2019, 47(3): 35–42.
|
| [59] |
孙秋野, 杨凌霄, 张化光. 智慧能源—人工智能技术在电力系统 中的应用与展望 [J]. 控制与决策, 2018, 33(5): 938–949. Sun Q Y, Yang L X, Zhang H G. Smart energy: Applications and prospects of artificial intelligence technology in power system [J]. Control and Decision, 2018, 33(5): 938–949.
|
| [60] |
李彬, 覃秋悦, 祁兵, 等. 基于区块链的分布式能源交易方案设 计综述 [J]. 电网技术, 2019, 43(3): 961–972. Li B, Qin Q Y, Qi B, et al. Design of distributed energy trading scheme based on blockchain [J]. Power System Technology, 2019, 43(3): 961–972.
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