从系统监测和人工检测2个方面对现有综采工作面甲烷监测现状进行了分析，针对工作面现有甲烷传感器体积、功耗大，移动、维护困难和设备成本高等问题，在物联网技术和边缘计算理念的基础上，提出了利用微功耗甲烷数据采集、微功耗传感终端定位、无线数据传输和终端自供电4种关键技术和开发微功耗甲烷感知终端的思路，并提出了4种关键技术的具体技术指标和性能要求。针对监控系统工作面区域甲烷监测点少，人工检测甲烷数据实时性、可读性和共享性不足的问题，以工作面区域落煤甲烷涌出、煤壁甲烷涌出和采空区甲烷涌出三大主要涌出特征为基础，结合现场生产班和检修班的实测甲烷数据分布特征，提出了综采工作面区域按照26台物联甲烷感知终端布置方案。在26个甲烷实时监测数据点基础上，为更直观、清楚地展示工作面区域甲烷分布状态，对有限的甲烷监测数据进行插值，拟形成工作面区域甲烷浓度数字场。在笛卡尔二维坐标系下分别优选了工作面区域X和Y方向的数字场实现方法并进行了验证，结果表明该方法大幅提高了工作面区域甲烷监测数据的可读性和实时性，为进一步做区域甲烷分析预警提供了实时性高、覆盖面广、可读性强的工作面甲烷浓度表达方式。

The current status of methane monitoring in the existing fully-mechanized coal mining faces was analysed from both system monitoring and manual detection. In view of the problems of the existing methane sensor on the working face, such as large volume, high power consumption, difficulty in movement, maintenance and high equipment cost, the Internet of Things technology based on the concept of edge computing four key technologies including micro-power data acquisition methane data collection, micro-power sensing terminal positioning, wireless data transmission and terminal self-powered technologies are proposed to develop a micro-power methane sensing terminal and the specific technical indicators and performance requirements of four key technologies are put forward. In view of the lack of methane monitoring points in the working face area of the monitoring system, the real-time, readability and sharing of manual methane data are insufficient, based on the three main characteristics of methane gushing from coal falling in the working face area, methane gushing from coal walls and methane gushing from gobs, combined with the distribution characteristics of measured methane data from the on-site production team and maintenance team, a layout plan of 26 IoT methane sensing terminals in the fully-mechanized mining face area is proposed. Based on 26 real-time methane monitoring data points, in order to more intuitively and clearly show the distribution of methane in the working face area,interpolating the limited methane monitoring data to form a digital field of methane concentration in the working face area. In the Cartesian two-dimensional coordinate system, the digital field realization methodsin the X and Y directions of the working surface area are optimized and verified.The results show that this method greatly improves the readability and real-time performance of methane monitoring data in the working face area. It provides other scholars with a high real-time, wide coverage, and highly readable expression of methane concentration at the working face for further regional methane analysis and early warning.

0 引言

1 基于物联网技术的甲烷感知终端需求

2 工作面区域甲烷感知终端布置方案

   2.1 工作面甲烷涌出来源及监测需求

   2.2 工作面甲烷浓度场测试

   2.3 工作面甲烷监测终端布置

3 工作面区域甲烷浓度数字场实现

   3.1 甲烷浓度数字场实现方法

   3.2 甲烷浓度数字场实现验证

4 结论