基于物联网的雾霾重点污染源监测的传输可靠性与内容可信性基础理论与应用研究

项目名称： 基于物联网的雾霾重点污染源监测的传输可靠性与内容可信性基础理论与应用研究

项目编号： No.61472137

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 田立勤

作者单位： 华北科技学院

项目金额： 83万元

中文摘要： 物联网具有价格便宜、部署灵活、组网独立、远程通信多样化、抗干扰抗破坏能力强等特点，使得物联网非常适合对雾霾重点污染源进行广覆盖、细粒度的可靠监测。项目围绕解决目前雾霾重点污染源监测中的信息传输可靠与内容可信问题，研究四个关键科学问题：①在拓扑可靠性方面，研究适合雾霾重点污染源监测的均匀分簇的三维立体物联网节点部署方案，突出监测网的拓扑可靠性；②在传输可靠性方面，研究本地和远程相结合的多目标优化的可靠传输和实时性保障机制，突出信息传输的可靠性和实时性；③在内容可信性方面，研究基于随机博弈网新理论的节点行为监管的信息内容可信保障机制，突出监测内容的可信性；④在实证方面，对现有传统污染源监测系统按前三个科学特性进行物联网优化升级，并利用贝叶斯网络对污染源排放情况进行反演与修正。由于企业利益可能与污染控制冲突，致使监测环境十分特殊，这使得提高监测的可靠可信性变得尤为重要，需进行专门创新研究。

中文关键词： 传输可靠；物联网；雾霾污染源监测；随机Petri网

英文摘要： Sensors of Internet of Things (IoT) have the advantages of like low price, flexible deployment, independent networking, diversified remote communication, strong anti-interference and damage resistance abilities etc., which make IoT very suitable for a broad coverage as well as fine-grained reliable monitoring to the key pollution sources of haze. Around the fundamental issue of transmission reliability and content trustworthiness in haze key pollution sources monitoring, this project research four key scientific problems: First, In terms of topology reliability, project research the three-dimensional uniform-clustered sensor deployment strategy, which is suitable for the haze key pollution sources monitoring, highlighting the topology reliability of monitoring network; Second, In terms of transmission reliability, combined local with remote information transmission, project research optimized multi-objects reliable transmission and real-time guarantee mechanism, highlighting the real-time and reliability of information transmission; Third, In terms of content trustworthiness, based on combined Stochastic Petri Net, Game Theory and dynamic behavior regulation of sensor nodes, project research the content trustworthiness guarantee mechanism, highlighting the trustworthiness of monitoring content; Fourth, In terms of demonstration, according to the three scientific features above-mentioned, project optimize and upgrade existing traditional pollution sources monitoring system with the IoT. Based on backward inference to find and correct the emissions information of pollution source using Bayesian Network theory. Because of the conflicts between enterprise interest and pollution control, which makes the monitoring environment is very special, which makes it very important to improve the transmission reliability and content trustworthiness, thus requires special innovation research.

英文关键词： Transmission Reliability;The Internet of things;Monitoring Haze pollution sources;Stochastic Petri Net