分布式电力应急救援感知与协同信息交互技术

doi:10.16182/j.issn1004731x.joss.201712020

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3082-3091.doi: 10.16182/j.issn1004731x.joss.201712020

分布式电力应急救援感知与协同信息交互技术

谢小军¹, 芦翰晨^2*, 施若馨²

1.国网安徽省电力公司信息通信分公司,安徽合肥 230061;
2.北京航空航天大学自动化科学与电气工程学院,北京 100191

收稿日期:2015-10-23 发布日期:2020-06-06
作者简介:谢小军(1975-),男,安徽泾县,硕士,高工,研究方向为电力通信系统的运行管理和无线通信相关的技术研究。
基金资助:
国家自然科学基金面上项目(61175109),航空科学基金(20145851038)

Distributed Power Emergency Rescue Perception and Cooperative Information Interaction Technology

Xie Xiaojun¹, Lu Hanchen^2*, Shi Ruoxin²

1. Information and Telecommunication Branch, State Grid Anhui Electric Power Company, Hefei 230061, China;
2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

Received:2015-10-23 Published:2020-06-06

摘要/Abstract

摘要： 从定位、通信、任务下发的实施过程研究了现代应急救援技术的系统结构、组成和功能,并对信息处理及多链路消息两个关键子系统进行了研究,提出了基于多链路通信的应急指挥系统协同交互方法和技术方案。为提高多点分布式应急救援中应急指挥中心与应急救援车辆在受限通信网络下的通信能力,重点研究针对指挥中心和车辆端协同的系统框架,解决了消息通讯及车辆监控数据协同感知与同步传输问题。设计实现的系统在北京及合肥的实地测试,验证提出技术方案和算法的有效性,为应急条件下救援指挥监控提供了可行的解决途径。

关键词: 应急指挥, 卡尔曼滤波, 时间同步, 多链路通讯

Abstract: An emergency rescue technology for modern vehicle was proposed based on the implementation process of positioning, communication and task. The key subsystems of information processing and multi-link message in the rescue system were developed. The cooperative interaction method and technical scheme of emergency command system were based on multi-link communication. To improve the communication effectiveness between the emergency command center and emergency rescue vehicles under harsh conditions, the problems of short message communication and vehicle data transmission were solved by establishing a framework for directing side and the vehicle side. Design and implementation of the system through the field test in Beijing and Hefei verified the effectiveness of the technical scheme and algorithm, provided a feasible solution for emergency rescue command and control.

Key words: emergency command, Kalman filtering, time synchronization, multilink communication

中图分类号:

TP391.1

谢小军, 芦翰晨, 施若馨. 分布式电力应急救援感知与协同信息交互技术[J]. 系统仿真学报, 2017, 29(12): 3082-3091.

Xie Xiaojun, Lu Hanchen, Shi Ruoxin. Distributed Power Emergency Rescue Perception and Cooperative Information Interaction Technology[J]. Journal of System Simulation, 2017, 29(12): 3082-3091.

参考文献

[1] Dick A Buck Joseph E TrainorBenigno E. Aguirre, Joseph E Trainor, Benigno E. Aguirre. A Critical Evaluation of the Incident Command System and NIMS[J]. Journal of Homeland Security & Emergency Management (S2194-6361), 2006, 3(3): 309.
[2] Bigley G A, Roberts K H.The incident command system: High-reliability organizing for complex and volatile task environments[J]. Academy of Management Journal, 2001, 44(6): 1281-1299.
[3] 杨元喜. 北斗卫星导航系统的进展, 贡献与挑战[J]. 测绘学报, 2010, 39(1): 1-6.
YangYuanxi. Progress,Contributions and Challenges of Compass/BeiDou Satellite Navigation System[J]. Journal of Mapping, 2010, 39(1): 1-6.
[4] 王华东. 北斗卫星导航应急通信应用研究[J]. 卫星与网络, 2013 (12): 66-70.
Wang Huadong.Application Research of BeiDou Satellite Navigation Emergency Communication[J]. Satellites & Networks, 2013 (12): 66-70.
[5] 孟磊. 基于OBDII的车载远程故障诊断系统设计[D]. 武汉理工大学, 2012.
Meng Lei.Design of Vehicle Remote Fault Diagnosis System Based on OBDII [D]. Wuhan University of Technology, 2012.
[6] 曹云建, 唐耀庚, 谢宇希. 基于OBD的汽车远程监测系统设计[J]. 工业控制计算机, 2013, 25(12): 95-96.
CaoYunjian, TangYaogeng, XieYuxi. Design of Vehicle Remote Monitoring System Based on OBD[J]. Computer Control Engineering, 2013, 25(12): 95-96.
[7] 王小冬. 卡尔曼滤波在卫星导航中的应用研究[D]. 大连: 大连海事大学, 2008.
WangXiaodong. Application of Kalman Filter in Satellite Navigation[D]. Dalian: Dalian Maritime University, 2008.
[8] 赵奇. 卡尔曼滤波在GPS定位中的研究与实现[D]. 电子科技大学, 2013.
Zhao Qi.Kalman filter in the GPS positioning of the research and implementation[D]. University of Electronic Science and Technology of China, 2013.
[9] 石亮亮. 车载GPS/INS组合导航系统位置与姿态精度初步分析与检验研究[D]. 北京: 首都师范大学, 2011.
Shi Liangliang.Analysis and Verification of the Position and Attitude of Vehicle GPS / INS Integrated Navigation System[D] .Beijing: Capital Normal University, 2011.
[10] 黄攀. 基于GPS/DR紧组合车载导航系统研究及实现[D]. 哈尔滨,哈尔滨工程大学, 2013.
Huang Pan.Study and Implementation of Vehicle Navigation System Based On Tightly-Coupled GPS/DR [D]. Harbin, Harbin Engineering University, 2013.
[11] 陈淡, 郑应航. 基于蓝牙技术的北斗终端通信模块的设计[J]. 现代电子技术, 2013, 36(23): 16-18.
Chen Dan, Zheng Yinghang.Design of terminal communication module of Beidou based on Bluetooth technology[J]. Electronic Technology, 2013, 36(23): 16-18.
[12] 王文瑜. 基于北斗卫星的授时系统研制[D]. 北京: 北京邮电大学, 2008.
Wang Wenyu.Study of BeiDou Timing System [D]. Beijing: Beijing University of Posts and Telecommunications, 2008.
[13] 广嘉电子. 北斗一号授时技术及在电力系统中的应用[J]. 中国电子商情-基础电子, 2008: 70-73.
GuangJia Electronics. BeiDou timing technology and application in power system[J]. China Electronics Business - Basic Electronics, 2008: 70-73.
[14] 郭彬. 基于北斗/GPS双模授时的电力系统时间同步技术研究[D]. 长沙: 湖南大学, 2010.
Guo Bin.Research on power system time synchronization based on BeiDou / GPS dual mode timing[D] .Changsha: Hunan University, 2010.

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分布式电力应急救援感知与协同信息交互技术

Distributed Power Emergency Rescue Perception and Cooperative Information Interaction Technology

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