针对目前掘进工作面风筒出风口风流状态不能实时动态变化，导致掘进巷道内风流分布不合理，死角区粉尘、瓦斯积聚严重难以稀释排出的问题。本文从模型实验的角度出发，研制出了掘进面风流监测及智能调控实验平台，有效解决了掘进面风流调控下风速、瓦斯及粉尘浓度实测数据获取困难的问题，并为掘进面风流监测及智能调控系统在井下实际应用提供了理论依据及技术支持。本文通过对掘进面风流监测及调控功能需求分析，完成了实验平台的总体方案设计、软硬件系统设计与开发。最后完成了实验平台的研制搭建及测试验证。具体研究内容如下：

（1）实验平台总体方案设计。通过对掘进工作面局部通风系统的组成及风流分布特征进行分析，并结合数值模拟实验研究分析风速、瓦斯及粉尘浓度的隐患区域，建立风流监测及智能调控实验平台实现的总体方案；并利用加权数据融合算法及免疫遗传算法对风流监测预警及智能调控实现方法进行建立。基于相似模化理论对实验平台进行流场相似与模化设计，并利用SolidWorks软件建立实验平台三维模型。

（2）实验平台硬件系统设计。分析数据采集系统结构，确定风速、瓦斯及粉尘浓度隐患区域，对实验平台风速、瓦斯、粉尘传感器及摄像机监测位置进行布置，并对数据采集系统硬件接线进行设计。利用以太网通讯技术，建立井上井下数据传输结构，以确保数据传输的实时性与准确性。根据建立的风流调控装置控制方案，对步进电机控制系统、PLC控制器I/O地址分配、PLC控制系统硬件接线及步进电机驱动系统硬件接线等进行详细设计。

（3）实验平台软件系统设计与开发。利用编程软件STEP 7-Micro/win 32对S7-200 smart PLC的监控程序进行编写；利用组态王软件对上位机系统的实时监测、装置控制、预警显示、视频监控等指令面板进行设计与开发；最后利用SQL Server软件建立上位机系统数据库，实现对数据的存储与管理。

（4）实验平台研制及测试验证。基于对实验平台的软硬件系统设计及建立的实验平台三维模型，研制搭建风流监测及智能调控实验平台。利用搭建的风流监测及智能调控实验平台以陕西省某煤矿S1202掘进面为研究对象，对搭建的实验平台进行各功能模块测试验证。最后利用研制的风流调控装置进行井下安装测试，验证实验平台的流场相似性与风流调控的准确性及有效性。

At present, the current state of airflow of the outlet in the heading face cannot be changed dynamically in real time, which leads to the unreasonable distribution of airflow in the driving roadway, and the serious accumulation of dust and gas in the dead corner is difficult to dilute and discharge. From the perspective of model experiment, this paper develops an experimental platform for airflow monitoring and intelligent control, which effectively solves the difficulty of obtaining the measured data of air speed, gas and dust concentration under airflow control, and provides theoretical basis and technical support for practical application of airflow monitoring and intelligent control system of the heading face.  In this paper, the overall scheme design, software and hardware systems design and development of the experimental platform are completed by analyzing the requirements of airflow monitoring and control function of the heading face. And the development, testing and verification of the experimental platform are finally completed. The specific research contents are as follows :

Design the overall scheme of the experimental platform. By analyzing the composition of local ventilation system and airflow distribution characteristics of the heading face, combined with numerical simulation experiments to analyze the hidden danger area of air speed, gas and dust concentration, the overall scheme of airflow monitoring and intelligent control experimental platform is established; and the weighted data fusion algorithm and immune genetic algorithm are used to establish the realization method of airflow early warning and intelligent control. Based on the similarity modeling theory, the flow field similarity and modeling design of the experimental platform are carried out, and the three-dimensional model of the experimental platform is established by using SolidWorks software.

(2) Design the hardware system of the experimental platform. Analyze the structure of the data acquisition system, determine the hidden danger area of air speed, gas and dust concentration, arrange the position of camera monitoring points and the sensor of air speed, gas and dust on the experimental platform, and design the hardware wiring of the data acquisition system. Using Ethernet communication technology, the data transmission structure is established to ensure the real-time and accuracy of data transmission. According to the established airflow control device control scheme, the stepper motor control system, PLC controller I/O address allocation, PLC control system hardware wiring and hardware wiring of stepper motor drive system are designed in detail.

(3) Design and development of experimental platform software system. The monitoring program of S7-200 smart PLC is writed with the programming software STEP 7-Micro / win 32; the Kingview software is used to design and develop the real-time monitoring, device control, early warning display, video monitoring and other instruction panels of the upper computer system; finally, use SQL Server software to establish the upper computer system database to realize the storage and management of data.

(4) Experimental platform development, testing and verification. Based on the design of software and hardware systems and the established three-dimensional model of the experimental platform, the experimental platform for airflow monitoring and intelligent control is developed and constructed. Taking the S1202 heading face of the coal mine in Shaanxi Province as the research object, the built experimental platform is used to test and verify each functional module. Finally, the developed airflow control device is tested and installed underground to verify the flow field similarity of the experimental platform and the accuracy and effectiveness of airflow control.

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