信任模型在雾霾感知源评价中的应用

发布时间：2018-01-23 04:29

本文关键词： 信任模型雾霾感知源信任评价数据监测　出处：《计算机应用》2016年02期 　论文类型：期刊论文

【摘要】：雾霾监测点作为雾霾数据感知的源头,由于缺乏有效的评价方法,导致感知的数据不可靠。针对此问题,提出一种感知源信任评价和筛选模型,该模型采用数据触发检测方式来进行。当感知源的数据到达时,首先采用K-Means聚类算法和统计结果计算感知源基准数据,根据当前感知数据、基准数据和所设定的门限值计算得到感知源的数据信任度;然后根据感知源所处地理位置确定邻居关系,将感知源当前所感知的数据和各个邻居所感知的数据进行比较,根据差值的绝对值和门限值的大小关系计算得到邻居推荐信任度;最后使用感知源的数据信任度、历史信任度和邻居推荐信任度三种信任度计算得到最终的综合信任度。其中历史信任度初始为所监测的指标数,而后使用综合信任度进行更新。从理论分析和仿真结果看,该方法可有效对感知源进行客观的评价,同时能够规避异常感知源的数据,降低后期处理开销。
[Abstract]:As the source of haze haze monitoring data aware, due to the lack of effective evaluation method, resulting in perception of unreliable data. In order to solve this problem, put forward a perceived source trust evaluation and selection model, this model uses the data to trigger detection. When the perceived source data arrived, firstly using K-Means clustering algorithm and the statistical results of calculation of the perceived source benchmark data, according to the current sensing data, reference data and set the threshold value calculated by the perceived source of data trust; then according to the perceived source location to determine the relations between neighbors, the perception source current perception of the data and the neighbor data are compared, according to the size difference between the absolute value and the threshold value calculated by neighbor trust degree; finally, using the data source perception of trust, trust history and neighbor recommendation trust three letter Any of the calculated overall trust degree. The final historical trust for the initial index number of monitoring, and trust update. From the theoretical analysis and simulation results show that this method can effectively on the perceived source of objective evaluation, at the same time to avoid the abnormal perception of source data, reduce processing overhead.

【作者单位】：东北大学信息科学与工程学院;华北科技学院计算机学院;
【基金】：国家自然科学基金资助项目(61163050,61472137) 国家安全监管总局安全生产重大事故防治关键技术科技项目(zhishu-031-2013AQ) 中央高校基本科研业务费资助项目(3142014125,3142015022,3142013098)~~
【分类号】：TP393.08
【正文快照】： 0引言面对我国当前所面临的恶化的环境状况,特别是雾霾严重的情况,近年来国家和各地政府都加强了监控和管理,很多省份建立了污染源监控网络,在所辖区域内针对包括雾霾在内的环境污染等问题实时监测。但如何保证所监测的数据可靠可信则是在监测过程中需要解决的问题,目前对此大

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