| 引用本文: | 苏振东,杨瑞平,王飞跃.海洋环境监测平行系统优化融合.[J].国防科技大学学报,2020,42(1):170-175.[点击复制] |
| SU Zhendong,YANG Ruiping,WANG Feiyue.Optimum fusion of marine environment monitoring parallel system[J].Journal of National University of Defense Technology,2020,42(1):170-175[点击复制] |
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| 海洋环境监测平行系统优化融合 |
| 苏振东1,杨瑞平2,王飞跃1 |
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(1. 中国科学院大学, 北京 100190;2. 海军研究院, 北京 100161)
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| 摘要: |
| 多个海洋环境监测系统之间存在的功能冗余导致资源浪费和不必要的资金投入,因此应将各个系统优化融合成有机整体来节约海洋环境监测的资源和成本。将海洋环境监测系统按照功能划分为不同的模块,在线性规划融合的基础上引入熵方法,以成本和效能指标为主要对象,通过合理分配,在确保系统优化融合后监测能力不降低的同时,尽量减少建设成本。 |
| 关键词: 平行监测体系 优化融合 线性规划 熵方法 |
| DOI：10.11887/j.cn.202001024 |
| 投稿日期：2019-01-05 |
| 基金项目:国家自然科学基金资助项目(41605070) |
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| Optimum fusion of marine environment monitoring parallel system |
| SU Zhendong1, YANG Ruiping2, WANG Feiyue1 |
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(1. University of Chinese Academy of Sciences, Beijing 100190, China;2. Naval Research Academy, Beijing 100161, China)
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| Abstract: |
| The functional redundancy between multiple marine environmental monitoring systems leads to resource waste and unnecessary capital investment. Therefore, the systems should be integrated optimally into an organic whole to save resources and costs of marine environmental monitoring. In light of this, the Entropy method was introduced on the basis of linear programming and the marine environmental monitoring system was divided into different modules according to functions. Taking cost and efficiency index as the main object and through reasonable allocation, the construction cost can be reduced as far as possible while ensuring that the monitoring capability after optimization and integration is not reduced. |
| Keywords: parallel monitoring systems optimum fusion linear programming entropy method |
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