项目名称: 煤矿井下物联网感知层可控模型研究
项目编号: No.51274011
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 矿业工程
项目作者: 黄友锐
作者单位: 安徽理工大学
项目金额: 80万元
中文摘要: 煤矿井下物联网感知层可控机制研究是煤矿物联网的关键科学问题之一,对煤矿井下物联网体系开放性、标准建设、安全性起着决定性作用。针对煤矿安全需求,基于着色思想,研究煤矿井下物联网感知层拓扑生成、拓扑更新和拓扑自再生方法,建立煤矿井下物联网感知层拓扑可控模型;在不破坏现有协议体系结构的前提下,增加一个可控接口层,采用控制逻辑与网络协议体系进行跨层交互方法,建立具有闭环自反馈特征的可控协议模型;采用Vague理论进行煤矿井下物联网感知层不确定信息的融合计算,探索煤矿井下物联网数据可控交互方法,构建"集中+分布"模式的煤矿井下物联网数据共享与交换平台;采用空间概率推理技术和粒子滤波器融合的位置感知策略以及基于多参数服务感知匹配算法,建立基于位置的移动服务感知计算模型。构建可控的煤矿井下物联网,将有助于提高煤矿的抗灾害、事故能力,对煤矿安全生产具有重要意义,相关成果可以应用于有色、冶金等其它矿山领域。
中文关键词: 物联网;可控模型;感知层;煤矿;
英文摘要: Study on controlled mechanism for coal mine underground Internet of Things perception layer is one of the key scientific problems of coal mine Internet of Things, it plays a decisive role in the coal mine underground Internet of Things system openness, standards development, security. Based on color thinking and demand for coal mine safety, the method of perception layer topology generation, topology update, and topological self-regeneration for coal mine underground Internet of Things will be discussed. The controllable topology model of the coal mine underground Internet of Things will be established. Under the premise of the existing protocol architecture, adding a controllable interface layer, the controlled protocol model with closed-loop self-feedback characteristics will be built. Vague theory is applied to fusion calculation of uncertain information for coal mine underground Internet of Things perception layer. Building a "focus+distribution" model for coal mine underground Internet of Things data sharing and exchange platform based on exploring controlled interaction methods of coal mine underground Internet of Things data. Space probabilistic reasoning techniques, location-aware policy of particle filter integration and multi-parameter service-aware matching algorithm are used to establsih aware comp
英文关键词: Internet of Things;Controlled model;Perception layer;Coal mine;