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北斗导航星地协同在电力抢修工作中的应用

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针对抢修过程中快速定位、通信保障以及复杂环境下数据传输的需求,本文深入探讨了北斗导航系统在电力抢修中的应用.研究重点包括高精度定位、短报文通信、自组网技术、多系统融合以及图像压缩等关键技术及其优化策略.文章提出了一种基于北斗三代系统的逐级模糊度固定PPP-AR解算方法,并结合分布式自组网技术,构建了一个高效的应急通信架构.同时,创新性地设计了窄带抗误码图像压缩算法,以解决北斗短报文通信中的带宽和误码问题.实验结果表明,结合多系统融合(BDS-3/GPS/Galileo)的PPP-AR技术将大幅缩短厘米级定位的收敛时间,此外,自组网架构在恶劣环境下的通信覆盖和可靠性方面也得到了显著增强.本文研究为加快电力抢修响应速度、提高抢修效率及增强作业安全性提供了有力的技术支撑.
Application of Beidou Navigation Satellite Earth Collaboration in Power Emergency Repair Work
To address the needs for rapid positioning,communication assurance,and data transmission in complex environments during emergency power repairs,this paper systematically investigates the application of the BeiDou Navigation System in power repair operations,with a particular focus on core technologies and improvement strategies such as high-precision positioning,short message communication,self-organizing network technology,multi-system integration,and image compression.A stepwise ambiguity resolution PPP-AR method based on the third generation BeiDou system is proposed,and an efficient emergency communication framework is constructed by combining distributed self-organizing network technology.Additionally,an innovative narrowband error-resistant image compression algorithm is designed to tackle the bandwidth and error rate issues in BeiDou short message communication.Experiments show that the PPP-AR technology,when integrated with multi-system,significantly reduces the convergence time for centimeter-level positioning,while the self-organizing network architecture markedly enhances communication coverage and reliability in harsh environments.This study provides technical support for accelerating the response speed of power repair operations,improving repair efficiency,and enhancing job safety.

Beidou navigationsatellite-ground collaborationelectric power emergency repair workhigh-precision positioningshort message communicationnarrowband image compression

高正浩、邓钥丹、何沛林、肖艳红

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贵州电网有限责任公司电力科学研究院,贵州贵阳 550002

北斗导航 星地协同 电力抢修工作 高精度定位 短报文通信 窄带图像压缩

2024

电力大数据
贵州电力试验研究院 贵州省电机工程学会

电力大数据

影响因子:0.047
ISSN:2096-4633
年,卷(期):2024.27(12)