面向强干扰电力物联网的低功耗数据回传方法

doi:10.11930/j.issn.1004-9649.202307015

摘要/Abstract

摘要：

电网场景中设备繁多，电磁环境复杂，对传感器节点无线数据回传造成了时变宽带强干扰。针对此问题，提出了面向强干扰电力物联网的低功耗回传方法。通过同步调度、分布式实时窄带干扰监测、最优信道数据上传等步骤，大大降低了强干扰环境下的数据碰撞概率，提高了通信容量，同时保证了系统整体的低功耗特性。仿真结果表明：该方法的吞吐量相对于传统方法提升2倍以上，功耗下降50%以上。整体而言，该方法极大提升了通信容量，降低了系统功耗。

关键词: 强干扰, 电力物联网, 低功耗, 同步系统, 窄带通信

Abstract:

In the power Internet of Tings (IoT) scenarios, numerous devices and complex electromagnetic environment cause time-varying broadband strong interference to wireless data transmission of the sensor nodes. To address this issue, a low-power data return method is proposed. Through synchronous scheduling, distributed real-time narrowband interference monitoring, optimal channel data uploading etc., the probability of data collision under strong interference environment is greatly reduced and the communication capacity is improved, and the overall low-power characteristics of the system are guaranteed at the same time. The simulation results indicate that the proposed method shows a performance improvement of over two times in throughput compared to traditional methods. Additionally, the power consumption has also decreased by over 50%. In the whole, the proposed method greatly improves the communication capacity and reduces the power consumption.

Key words: strong interference, power IoT, low power consumption, synchronous system, narrowband communication

吴赞红. 面向强干扰电力物联网的低功耗数据回传方法[J]. 中国电力, 2024, 57(11): 191-198.

Zanhong WU. Low-Power Data Return Method for Strong Interference Power IoT[J]. Electric Power, 2024, 57(11): 191-198.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307015

https://www.electricpower.com.cn/CN/Y2024/V57/I11/191

图/表 9

图 1 宽带时变强干扰示意

Fig.1 Schematic of broadband time-varying strong interference

图 2 电力物联网网络结构

Fig.2 Network structure of power IOT

图 3 时隙、频段划分情况

Fig.3 Time slot and frequency band division

图 4 所提系统整体通信流程

Fig.4 Overall communication procedures of the proposed system

图 5 优先级控制信息结构

Fig.5 Priority control information structure

图 6 所提系统基站和传感器节点详细交互流程

Fig.6 Detailed interaction process between the base station and sensor node

表 1 仿真参数

Table 1 Simulation parameters

节点数量		数据信道总计带宽/ MHz		窄带数据带宽/ kHz		控制信道带宽/ kHz		节点最大发射功率/ dBm		强弱干扰功率门限/ dBm		控制信道时隙长度/ μs
1000		100000		128		100		20		10		10

图 7 吞吐量对比仿真

Fig.7 Throughput comparison simulation

图 8 功耗对比仿真

Fig.8 Power consumption comparison simulation

参考文献 25

1	何立民. 从智能电网、物联网到泛在电力物联网[J]. 单片机与嵌入式系统应用, 2022, 22 (4): 3- 5, 10.
	HE Limin. From smart grid and Internet of Things to ubiquitous power Internet of Things[J]. Microcontrollers & Embedded Systems, 2022, 22 (4): 3- 5, 10.
2	田飞燕, 陈晓明, 钟财军, 等. 6G蜂窝物联网的大规模接入技术[J]. 物联网学报, 2020, 4 (1): 92- 103.
	TIAN Feiyan, CHEN Xiaoming, ZHONG Caijun, et al. Massive access technology in 6G cellular Internet of Things network[J]. Chinese Journal on Internet of Things, 2020, 4 (1): 92- 103.
3	王旭. 物联网技术及在智慧城市建设中的应用[J]. 通讯世界, 2019, 26 (3): 242- 243.
4	丁晔. 物联网在智慧农业中的应用性研究[J]. 新农业, 2021, (22): 45.
5	曾鸣, 王雨晴, 李明珠, 等. 泛在电力物联网体系架构及实施方案初探[J]. 智慧电力, 2019, 47 (4): 1- 7, 58.
	ZENG Ming, WANG Yuqing, LI Mingzhu, et al. Preliminary study on the architecture and implementation plan of widespread power Internet of Things[J]. Smart Power, 2019, 47 (4): 1- 7, 58.
6	王晓彩. 基于载波侦听的NB-IoT-D2D通信资源分配研究[D]. 郑州: 郑州大学, 2020.
	WANG Xiaocai. Research on NB-IoT-D2D communication resource allocation based on carrier sense[D]. Zhengzhou: Zhengzhou University, 2020.
7	杜书, 马玫, 赵波, 等. 用于电力物联网随机接入的低碰撞跳频通信系统[J]. 电信科学, 2023, 39 (1): 117- 125. DOI
	DU Shu, MA Mei, ZHAO Bo, et al. Low-hit frequency-hopping communication systems for power Internet of Things random access[J]. Telecommunications Science, 2023, 39 (1): 117- 125. DOI
8	万尚军, 费章君, 杨仕友, 等. 配电房物联网关方案研究[J]. 物联网技术, 2023, 13 (1): 60- 62, 66.
9	陈小利, 黄戌霞, 林静. LoRa和NB-IoT通信技术在环境监测中的应用[J]. 电子技术, 2023, 52 (1): 16- 18.
	CHEN Xiaoli, HUANG Xuxia, LIN Jing. Application of LoRa and NB-IoT communication technology in environmental monitoring[J]. Electronic Technology, 2023, 52 (1): 16- 18.
10	陈德富, 刘小湖, 周旭文, 等. 基于LoRa自组网的电能采集系统设计与实现[J]. 计算机测量与控制, 2023, 31 (3): 235- 240, 261.
	CHEN Defu, LIU Xiaohu, ZHOU Xuwen, et al. Design and implementation of power collection system based on LoRa ad hoc network[J]. Computer Measurement & Control, 2023, 31 (3): 235- 240, 261.
11	王星然, 陈济颖. 工业自动化控制系统中抗干扰技术的有效运用研究[J]. 自动化应用, 2018, (10): 137- 138.
12	王桂琴. 工业机器人电缆的抗电磁干扰优化设计[J]. 电子技术与软件工程, 2019, (21): 78- 79.
13	李沙沙, 褚学林. 工业自动化项目中电磁兼容问题及处理方法[J]. 南方农机, 2020, 51 (11): 194- 195. DOI
14	WU Anwu, DENG Xinli. Design strategy of electromagnetic compatibility for industrial field hardware circuit system[J]. Machine Tool & Hydraulics, 2016, 44 (24): 57- 62.
15	TLAKE L C, MARKUS E D, ABU-MAHFOUZ A M. A review of interference challenges on integrated 5GNR and NB-IoT networks[C]//2021 IEEE AFRICON. Arusha, Tanzania, United Republic of. IEEE, 2021: 1–6.
16	PROMSUK N, TAPARUGSSANAGORN A, VARTIAINEN J. Interference suppression methods with adaptive threshold in Internet of Things (IoT) systems[C]//2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE). Phuket, Thailand. IEEE, 2017: 1–6.
17	DIONÍSIO R, LOLIĆ T, TORRES P. Electromagnetic interference analysis of industrial IoT networks: from legacy systems to 5G[C]//2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW). Riga, Latvia. IEEE, 2020: 41–46.
18	GUNATILAKA D, SHA M, LU C Y. Impacts of channel selection on industrial wireless sensor-actuator networks[C]//IEEE INFOCOM 2017 - IEEE Conference on Computer Communications. Atlanta, GA, USA. IEEE, 2017: 1–9.
19	FARRAJ A. Cooperative transmission strategy for industrial IoT against interference attacks[C]//2023 IEEE Texas Power and Energy Conference (TPEC). College Station, TX, USA. IEEE, 2023: 1–6.
20	GONZÁLEZ G J, GREGORIO F H, COUSSEAU J. Successive interference cancellation for the NB-IoT uplink multiple access[C]//2020 Argentine Conference on Electronics (CAE). Buenos Aires, Argentina. IEEE, 2020: 41–46.
21	ZHANG X K, ZHANG B N, GUO D X. Performance of poly-polarization multiplexing in narrow-band wireless communication aided by pre-compensation and multi-notch OPPFs[J]. IEEE Wireless Communications Letters, 2017, 6 (4): 478- 481. DOI
22	WU Q L, ZHANG C. Ultra narrow band transmission system with orbital angular momentum[C]//2021 IEEE International Conference on Communications Workshops (ICC Workshops). Montreal, QC, Canada. IEEE, 2021: 1–5.
23	ZHENG M Y, HUANG T T, WANG L, et al. Performance analysis of M-ary DCSK system over narrow band power-line communications[C]//2017 23rd Asia-Pacific Conference on Communications (APCC). Perth, WA, Australia. IEEE, 2017: 1–6.
24	LI B Z, HOU F, ZHANG C Y, et al. MAC-AC: a novel distributed MAC protocol for accessing channel in vehicular ad hoc networks[C]//2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). Victoria, BC, Canada. IEEE, 2020: 1–5.
25	WANG Z Y, XU G S, ZHANG M, et al. Collision avoidance models and algorithms in the era of Internet of vehicles[C]//2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI). Chongqing City, China. IEEE, 2020: 123–126.

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