基于FAHP的水坝监测系统组网优化设计与应用

柴启蕾, 唐求, 李斌勤

长江科学院院报 ›› 2018, Vol. 35 ›› Issue (5) : 52-56.

PDF(2454 KB)
PDF(2454 KB)
长江科学院院报 ›› 2018, Vol. 35 ›› Issue (5) : 52-56. DOI: 10.11988/ckyyb.20161321
工程安全与灾害防治

基于FAHP的水坝监测系统组网优化设计与应用

  • 柴启蕾1, 唐求1, 李斌勤2
作者信息 +

Network Optimization for Dam Monitoring System Based on Fuzzy Analytic Hierarchy Process: Design and Application

  • CHAI Qi-lei1, TANG Qiu1, LI Bin-qin2
Author information +
文章历史 +

摘要

针对传统水坝安全监测系统网络通信过程中,传输节点由于信道扫描和排队等待造成的数据传输时延长、传输效率低的问题,在模糊层次分析法(FAHP)的基础上,提出ZigBee感知组网传输优化设计方法。首先构建水坝安全监测系统组网结构,然后根据模糊层次分析法计算传输节点权重,并由权重结果分析节点有效性和传输顺序;最后重置节点组网结构和数据传输路径,实现监测系统传输优化设计。仿真结果和沩水坝安全监测工程项目应用实例表明,该优化设计方法能够延长系统运行监测时间、提高数据传输效率,适用于不同监测系统中传感路由节点的组网传输优化设计。

Abstract

To reduce the delay of data transmission and improve the transmission efficiency in the network communication of traditional dam monitoring system due to channel scan and queuing, we propose an optimized method of ZigBee networking integrated with Fuzzy Analytic Hierarchy Process (FAHP). Firstly we built a dam monitoring transmission network, and then calculated the weights of transmission nodes by using FAHP, based on which we analyzed the nodes’ efficiency and transmission orders in the network. Finally, we completed the optimization by resetting networking structure and data transmission path. Results of both simulation and engineering application in Weishui monitoring project indicate that the proposed method is able to improve monitoring time and data transmission efficiency and is suitable for network optimization of nodes in various monitoring systems.

关键词

水坝监测 / 模糊层次分析法 / ZigBee组网 / 传输延迟 / 优先级机制

Key words

dam monitoring / FAHP / ZigBee networking / transmission delay / priority rating

引用本文

导出引用
柴启蕾, 唐求, 李斌勤. 基于FAHP的水坝监测系统组网优化设计与应用[J]. 长江科学院院报. 2018, 35(5): 52-56 https://doi.org/10.11988/ckyyb.20161321
CHAI Qi-lei, TANG Qiu, LI Bin-qin. Network Optimization for Dam Monitoring System Based on Fuzzy Analytic Hierarchy Process: Design and Application[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(5): 52-56 https://doi.org/10.11988/ckyyb.20161321
中图分类号: TN98    TN913.1   

参考文献

[1] 陈远强,郑 宏,陈 涛.基于数值流形方法的重力坝抗滑稳定性分析[J].长江科学院院报,2016,33(9):133-137.
[2] 张 磊,袁爱军,冯建华.地下水监测多源信息管理系统的开发[J].长江科学院院报,2016,33(8):130-133,137.
[3] WU F Q, LI L G, MA X S, et al. Development of Wireless Monitor System on Greenhouse Environment Based on GSM[M]∥Future Control and Automation. Berlin: Springer Berlin Heidelberg, 2012:371-379.
[4] XU Deng-yuan, DOU Jun, TU Jian-ping. Physical Frame Time-Slot Switching—A New Switching Technique over DWDM[J]. Journal of Electronic Science and Technology of China, 2005, 3(3): 208-212, 263.
[5] 王 翥,郝晓强,魏德宝.基于WSN和GPRS网络的远程水质监测系统[J].仪表技术与传感器,2010,(1):48-49,52.
[6] 韩 啸.ZigBee技术及应用[J].电脑知识与技术, 2014,10(22):5180-5181.
[7] 朱 琎,杨占勇.基于CC2530的无线振动监测传感器节点设计[J].仪表技术与传感器,2012,(8):56-58,83.
[8] 吕 伟,胡荣华.边坡稳定性的Fuzzy AHP和AHP对比研究[J].西安科技大学学报,2013,33(3):307-312.
[9] 吴呈瑜,孙运强.基于ZigBee技术的短距离无线数据传输系统[J].仪表技术与传感器,2008,(5):38-39.
[10]饶达琴,张文超.基于ZigBee的自愈自组网的设计与应用[J].电子设计工程,2012,20(23):111-113.
[11]EL GAMAL A, MAMMEN J, PRABHAKAR B, et al. Optimal Throughput-delay Scaling in Wireless Networks: part I: the Fluid Model[J]. IEEE/ACM Transactions on Networking, 2006,14(S1):2568-2592.
[12]HUANG W, WANG X. Throughput and Delay Scaling of General Cognitive Networks[C]∥2011 Proceedings of IEEE INFOCOM, Shanghai, China, April 10-15,2011:2210-2218.

基金

国家自然科学基金青年基金项目(61603131)

PDF(2454 KB)

Accesses

Citation

Detail

段落导航
相关文章

/