徐英,周尚武.电磁环境监测传感器部署效率评估方法[J].装备环境工程,2018,15(4):51-55. XU Ying,ZHOU Shang-wu.Evaluation Method for Deployment Efficiency of Electromagnetic Environmental Monitoring Sensor[J].Equipment Environmental Engineering,2018,15(4):51-55.
电磁环境监测传感器部署效率评估方法
Evaluation Method for Deployment Efficiency of Electromagnetic Environmental Monitoring Sensor
投稿时间:2017-10-30  修订日期:2018-04-15
DOI:10.7643/ issn.1672-9242.2018.04.010
中文关键词:  电磁环境监测  部署效率  优化部署  综合评估
英文关键词:electromagnetic environmental monitoring  deployment efficiency  deployment optimization  comprehensive evaluation
基金项目:国防科技项目基金(3603004),安徽省教育厅自然科学基金(KJ2017A618)
作者单位
徐英 国防科技大学 电子对抗学院,合肥 230037 
周尚武 安徽新华学院,合肥 230088 
AuthorInstitution
XU Ying Electronic Countermeasure College of National University of Defense Technology, Hefei 230037, China 
ZHOU Shang-wu Anhui XinHua University, Hefei 230088, China 
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中文摘要:
      目的 提升电磁环境的全域、精细化监测能力。方法 基于单个传感器监测能力和多个传感器协同监测效率,建立相应的评估指标模型,利用多属性决策方法将多指标量化为单一指标,获得监测传感器部署效率评估结果。结果 以待评估方案与理想方案的贴近度作为部署效率评估指标,建立了部署效率评估指标体系,提出了基于逼近理想解排序法(TOPSIS)和网络分析法(ANP)的综合评估方法。结论 通过仿真验证了该方法的可行性和有效性,为监测传感器部署方案优化和动态调度提供量化评估数据支撑。
英文摘要:
      Objective To improve the universe and refined monitoring capability of electromagnetic environment. Methods Based on the monitoring capability of single sensor and the collaborative monitoring efficiency of several sensors, corresponding evaluation indexes models were established to quantize multi-indexes into individual index with the multi-attribute decision-making method to obtain the deployment efficiency evaluation result of monitoring sensor. Results The evaluation index system of deployment efficiency was established based on the similarity degree between evaluation scheme and ideal scheme. And comprehensive evaluation method based on the technique for order preference by similarity to an ideal solution (TOPSIS) and analytic network process (ANP) was proposed. Conclusion Feasibility and effectiveness of the method is validated by simulation. And the method can provide quantitative evaluation data support for monitoring equipment deployment scheme optimization and dynamic scheduling.
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