针对矿山物联网在应用中存在的物理实体与信息处理间交互不畅问题，通过分析矿山物联网各层不同系统资源的耦合内容和耦合强度，结合矿山复杂场景多源、多模态感测数据特征，利用Petri网对离散事件的建模优势，自下而上建立起矿山物联网信息流网络模型。通过分析Petri网的网络特性和分层并发组合的思想，对矿山物联网网络结构进行精化，研究矿山物理实体与数据控制之间的主动交互机理与状态并构建矿山物联网分布式分层优化模型，实现网络在感知、传输、认知和控制层次上的自优化及其跨层、跨系统的数据优化调度；通过研究具有前向主动感知、状态映射和主动传播功能的矿山物联网信息与物理接口方法，对矿山物联网系统感传层进行优化，构建虚拟信息与物理实体的统一接口。分布式分层优化模型和节点接口模块优化了矿山物联网信息流与控制流的传输结构，建立了物理实体与信息处理之间的可靠交互通道。基于矿山物联网优化模型和传感节点接口模块的矿山运输系统应用表明：该系统明显提高了数据的分布式采集量、实现了矿山信息的并发传输和分类集中管理，大幅缩短了矿山运输系统的响应时间，显著提升了矿山运输系统的工作效率。

There is a problem of poor interaction between physical entities and information processing in the mine Internet of things. Based on the analysis of the coupling content and coupling strength of different system resources in each layer of the mine Internet of things，combined with the multi-source and multi-modal sensing data characteristics of the mine complex scene，and using the advantages of Petri net in modeling discrete events，the mine Internet of things information flow network model is established from the bottom to the top. The network structure of mine Internet of things is optimized by analyzing the network characteristics of Petri net and the idea of layered and concurrent combination. At the same time，the active interaction mechanism between mine physical entity and data control is studied，and the distributed layered optimization model of mine Internet of things is constructed. The network realizes self-optimization at the level of perception，transmission，cognition and control，and data optimal scheduling across layers and systems. The optimization of the sensing layer of the mine Internet of things system is based on the study of the information and physical interface method of the mine Internet of things with the functions of forward active perception，state mapping and active communication. Finally，the unified interface between virtual information and physical entity is constructed. The distributed hierarchical optimization model and sensor node interface module optimize the transmission structure of information flow and control flow，and establish a reliable interaction channel between physical entities and information processing. The application of the optimization model of the mine Internet of things and the sensor node interface module in the mine transportation system shows that the optimized system significantly improves the distributed collection of data，realizes the concurrent[LM]transmission of mine information and the centralized management of classification，greatly shortens the response time of mine transportation system，and significantly improves the working efficiency of mine transportation system.

0 引言

1 Petri网与矿山物联网

   1.1 Petri网基本原理

   1.2 Petri网的关系结构特性

   1.3 分层Petri网结构模型

   1.4 构建矿山物联网Petri网络模型

2 矿山物联网信息系统优化

   2.1 矿山物联网网络结构优化

   2.2 感传层硬件结构设计优化

3 矿山带式输送系统优化

   3.1 构建矿山带式输送系统Petri网络模型

   3.2 矿山带式输送机优化模型

4 结论