TY -的A2 -周,μ盟——徐Lijuan盟——张,音)非盟- Du,振华PY - 2021 DA - 2021/10/28 TI -沿海生态环境监测和保护系统基于多源信息融合决策SP - 5194700六世- 2021 AB -核泄漏的问题被越来越多的行业而言,沿海生态环境监测的研究变得越来越重要。因此,有必要研究当前杂乱无章沿海生态环境监测和保护系统。针对单一特征融合的准确性和代表性短的环境信息,本文比较了三种融合方法的分类效果四个分类:逻辑回归,支持向量机,随机森林,和朴素贝叶斯验证LDA和DS模型融合的有效性并确定短环境信息数据的一致性向量表示方法。本文收集并分析近年来沿海数据利用多源信息融合决策。摘要DS(法官沙佛)算法用于收集数据的证据沿海盐渍化程度和空气相对湿度,然后,介绍了DS特征匹配模型融合整个指标体系。本文方法完成监控数据的规范化和标准化处理数字转换、质量控制、数据分类,形成相互关联的四维时空数据,并建立一个分布式的、面向对象的、Internet-oriented实时动态管理数据库和延迟。最后,本文进行树决定处理沿海生态环境监测数据的多源信息融合,实现特殊的提取和直观的分析数据,并提出有针对性的保护沿海生态环境策略根据DS算法的数据结果。研究表明,在多源信息融合的数量指标本文是16,3251数据,2866有意义的信息,和1869年的数据包括生态循环。这些数据是multi-information数据的收集的结果。基于多级自然现有的海洋环境立体监测系统,研究建立了一个综合resource-guaranteed框架,把它分成四层根据海洋监测系统的水平:国家,海域,位置和数据访问点。 In specific analysis, the guarantee resources involved in each level are introduced. On the basis of in-depth analysis of the requirements of the marine environment three-dimensional monitoring system operation guarantee and the guarantee resource structure, the marine environment three-dimensional monitoring operation comprehensive guarantee system is described from the internal structure and the external connection. The DS algorithm extracts the status information resources of various marine environment three-dimensional monitoring systems, through the interaction of various subsystems, realizes the operation and maintenance of the monitoring system, and provides various technical supports such as system evaluation and failure analysis. After multisource information fusion and decision-making, it is obtained that the index equilibrium module in the DS algorithm in this paper is 0.52, the sensitivity is 0.68, and the independence is 0.42. Among them, the range of sensitivity is the largest. In the simulation results, the eco-economic coefficient can be increased from 12% to 36%. Therefore, using the method of multisource information fusion for quantitative index analysis can provide data support for coastal ecological environment detection, to establish a more perfect protection system. SN - 1687-725X UR - https://doi.org/10.1155/2021/5194700 DO - 10.1155/2021/5194700 JF - Journal of Sensors PB - Hindawi KW - ER -