[1]
|
国家统计局. 经济运行实现平稳开局 [Online], available: http://www.stats.gov.cn/xxgk/jd/sjjd2020/202204/t20220419_1829876.html, 2023-02-28State Statistics Bureau. The economy got off to a steady start [Online], available: http://www.stats.gov.cn/xxgk/jd/sjjd2020/202204/t20220419_1829876.html, February 28, 2023
|
[2]
|
人民日报. “十四五”我国单位 GDP 能耗降低 13.5% — 加快形成能源节约型社会 [Online], available: http://www.gov.cn/xinwen/2021-08/10/content_5630408.htm, 2023-02-28People's Daily. During the “14th Five-Year Plan”, my country's energy consumption per unit of GDP will be reduced by 13.5% — Accelerating the formation of an energy-saving society [Online], available: http://www.gov.cn/xinwen/2021-08/10/content_5630408.htm, February 28, 2023
|
[3]
|
工业和信息化部, 市场监管总局. 电机能效提升计划 (2021−2023年) [Online], available: https://www.miit.gov.cn/zwgk/zcwj/wjfb/tz/art/2021/art_76228b2294a14e168c94a9a3db77fc40.html, 2023-02-28Ministry of Industry and Information Technology, General Administration for Market Regulation. Motor energy efficiency improvement plan (2021−2023) [Online], available: https://www.miit.gov.cn/zwgk/zcwj/wjfb/tz/art/2021/art_76228b2294a14e168c94a9a3db77fc40.html, February 28, 2023
|
[4]
|
Felser M, Kleineberg O. Coexistence Standardization of Op- eration Technology and Information Technology. Proceedings of the IEEE, 2019, 107(6): 962-976 doi: 10.1109/JPROC.2019.2901314
|
[5]
|
Xu C, Du X Y, Li X C, Tu Y C, Li L, Jin X, et al. 5G-based industrial wireless controller: protocol adaptation, prototype development, and experimental evaluation. Actuators, 2023, 12(2): 1-19
|
[6]
|
Enterprise-control system integration Part1: Models and terminology. IEC/ISO 62264.1-2003, 2003
|
[7]
|
President's Committee of Advisors on Science and Technology. Report to the President on Federal Energy Research and Development for the Challenges of the Twenty-first Century, 1997
|
[8]
|
Petersen S, Carlsen S. WirelessHART vs. ISA100.11a: The format war hits the factory floor. IEEE Industrial Electronics Magazine, 2011, 5(4): 23-34 doi: 10.1109/MIE.2011.943023
|
[9]
|
Yu H B, Zeng P, Xu C. Industrial wireless control networks: from WIA to the future. Engineering, 2022, 8: 18-34 doi: 10.1016/j.eng.2021.06.024
|
[10]
|
Xu C, Yu H B, Zeng P, Li Y H. Towards critical industrial wireless control: Prototype implementation and experimental evaluation on URLLC. IEEE Communications Magazine, DOI: 10.1109/MCOM.009.2200648
|
[11]
|
Raza M, Aslam N, Le-Minh H, Hussain S, Cao Y, Khan N M. A critical analysis of research potential, challenges, and future directives in industrial wireless sensor networks. IEEE Communications Surveys & Tutorials, 2018, 20(1): 39-95
|
[12]
|
Dai W, Vyatkin V, Christensen J H, Dubinin V N. Bridging service-oriented architecture and IEC 61499 for flexibility and interoperability. IEEE Transactions on Industrial Informatics, 2015, 11(3): 771-781 doi: 10.1109/TII.2015.2423495
|
[13]
|
Zheng M, Liang W, Yu H B, Xiao Y. Performance analysis of the industrial wireless networks standard: WIA-PA. Mobile Network Application, 2017, 22: 139-150 doi: 10.1007/s11036-015-0647-7
|
[14]
|
Yu H B, Zeng P, Zheng M, Xu C, Jin X, Liang W. Performance Controllable Industrial Wireless Networks. Singapore: Springer Nature, 2023.
|
[15]
|
Jin X, Xia C Q, Xu H T, Wang J T, Zeng P. Mixed criticality scheduling for industrial wireless sensor networks. Sensors, 2016, 16(9): Article No. 1376
|
[16]
|
Xia C, Jin X, Kong L, Zeng P. Bounding the demand of mixed-criticality industrial wireless sensor networks. IEEE Access, 2017, 5: 7505-7516 doi: 10.1109/ACCESS.2017.2654483
|
[17]
|
Jin X, Wang J, Zeng P. End-to-end delay analysis for mixed-criticality WirelessHART networks. IEEE/CAA Journal of Automatica Sinica, 2015, 2(3): 282-289 doi: 10.1109/JAS.2015.7152662
|
[18]
|
Jin X, Tian Y, Xu C, Xia C Q, Li D, Zeng P. Mixed-criticality industrial data scheduling on 5G NR. IEEE Internet of Things Journal, 2022, 9(12): 10306-10318 doi: 10.1109/JIOT.2021.3121251
|
[19]
|
ETSI EN 301 893 V2.1.1. 5 GHz RLAN; Harmonised standard covering the essential requirements of article 3.2 of directive 2014/53/EU [Online], available: https://www.etsi.org/deliver/etsi_en/301800_301899/301893/02.01.01_60/en_301893v020101p.pdf, February 28, 2023
|
[20]
|
Liang W, Zhang X L, Yang M, Xu W J, Wang J, Zeng P, et al. Demonstration abstract: A complete WIA-PA network and its adaptive anti-interference mechanisms. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking (Mobicom). New York, USA: IEEE, 2009. 1−3
|
[21]
|
Xu C, Zeng P, Yu H B, Jin X, Xia C Q. WIA-NR: Ultra-reliable low-latency communication for industrial wireless control networks over unlicensed bands. IEEE Network, 2021, 35(1): 258-265 doi: 10.1109/MNET.011.2000308
|
[22]
|
Industrial networks-wireless communication network and communication profile-WIA-PA. IEC 62601, 2011
|
[23]
|
汪扬, 曾鹏, 张琼, 王秋石, 于海斌. 无线传感器网络低功耗穿级采样算法. 仪器仪表学报, 2012, 33(5): 1070-1077 doi: 10.3969/j.issn.0254-3087.2012.05.016Wang Y, Zeng P, Zhang Q, Wang Q S, Yu H B. Level crossing sampling algorithm for energy conservation in WSNs. Chinese Journal of Scientific Instrument, 2012, 33(5): 1070-1077 doi: 10.3969/j.issn.0254-3087.2012.05.016
|
[24]
|
Jin X, Guan N, Xia C Q, Jin X, Zeng P. Packet aggregation real-time scheduling for large-scale WIA-PA industrial wireless sensor networks. ACM Transactions on Embedded Computing Systems, 2017, 17(5): 1-19
|
[25]
|
Wang Z W, Zeng P, Kong L H, Li D, Jin X. Node-identification-based secure time synchronization in industrial WSNs. Sensors, 2018, 18(8): 1-18 doi: 10.1109/JSEN.2018.2805427
|
[26]
|
王照伟, 郑萌, 曾鹏, 李栋. 基于IEEE 1588协议的多跳无线网络时间同步方法. 中国科学: 信息科学, 2016, 46(6): 777-788 doi: 10.1360/N112014-00342Wang Z W, Zheng M, Zeng P, Li D. IEEE 1588 protocol- based time synchronization method for multihop wireless networks. SCIENTIA SINICA Informationis, 2016, 46(6): 777-788 doi: 10.1360/N112014-00342
|
[27]
|
Zeng P, Wang Z W, Jia Z, Kong L H, Li D, Jin X. Time-slotted software-defined industrial ethernet for real-time quality of service in Industry 4.0. Future Generation Computer Systems, 2019, 99: 1-10 doi: 10.1016/j.future.2019.04.009
|
[28]
|
Liu X Y, Xu C, Yu H B, Zeng P. Deep reinforcement learning-based multi-channel access for industrial wireless networks with dynamic multi-user priority. IEEE Transactions on Industrial Informatics, 2022, 18(10): 7048-7058 doi: 10.1109/TII.2021.3139349
|
[29]
|
刘晓宇, 许驰, 曾鹏, 于海斌. 面向异构工业任务高并发计算卸载的深度强化学习算法. 计算机学报, 2021, 44(12): 2367-2381Liu X Y, Xu C, Zeng P, Yu H B. Deep reinforcement learning-based high concurrent computing offloading for heterogeneous industrial tasks. Chinese Journal of Computers, 2021, 44(12): 2367-2381
|
[30]
|
Liu X Y, Xu C, Yu H B, Zeng P. Multi-agent deep reinforcement learning for end-edge orchestrated resource allocation in industrial wireless networks. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 47-60
|
[31]
|
施昭, 刘阳, 曾鹏, 于海斌. 面向物联网的传感数据属性语义化标注方法. 中国科学: 信息科学, 2015, 45(6): 739-751 doi: 10.1360/N112014-00361Shi Z, Liu Y, Zeng P, Yu H B. Semantic annotating method of sensing data attributes for data processing in IoT. SCIENTIA SINICA Informationis, 2015, 45(6): 739-751 doi: 10.1360/N112014-00361
|
[32]
|
刘阳, 张天石, 李世超, 佟星, 曾鹏, 于海斌. 基于Bitmap的油水井采注优化实时推理引擎. 自动化学报, 2017, 43(6): 1007-1016 doi: 10.16383/j.aas.2017.c170132Liu Y, Zhang T S, Li S C, Tong X, Zeng P, Yu H B. A real-time reasoning engine for injection-production optimization of water and oil wells on account of bitmap. ACTA AUTOMATICA SINICA, 2017, 43(6): 1007-1016 doi: 10.16383/j.aas.2017.c170132
|
[33]
|
Song C H, Liu S, Han G J, Zeng P, Yu H B, Zheng Q Y. Edge intelligence based condition monitoring of beam pumping units under heavy noise in the industrial internet of things for Industry 4.0. IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2022.3141382
|
[34]
|
张立婷, 李世超, 郑东梁, 石硕, 曾鹏. 基于多源信息融合的油井态势感知系统. 自动化仪表, 2019, 40(9): 51-54 doi: 10.16086/j.cnki.issn1000-0380.2018110012Zhang L T, Li S C, Zheng D L, Shi S, Zeng P. Oil well situational awareness system based on multi-source information fusion. Process Automation Instrumentation, 2019, 40(9): 51-54 doi: 10.16086/j.cnki.issn1000-0380.2018110012
|
[35]
|
Lin J R, Zhu B H, Zeng P, Liang W, Yu H B, Xiao Y. Monitoring power transmission lines using a wireless sensor network. Wireless Communications & Mobile Computing, 2015, 15(14): 1799-1821
|
[36]
|
王忠锋. 基于物联网的智能电网全域状态监测系统. 自动化博览, 2020, (5): 38-39Wang Z F. IoT-based global status monitoring system for smart grid. Automation Expo, 2020, (5): 38-39
|