摘要
针对传统局部风机工况点随掘进巷推进而实时产生偏移的生产安全问题,为研究多环境参数(粉尘浓度、甲烷浓度、温湿度等)对掘进巷风速的影响、探究智能控制技术指导局部风机变频运行的途径,实现对掘进面通风状态的实时监测、协同预测、变频控制,设计了一种掘进面智能变频通风控制系统。基于智能控制理论,采用灰色关联分析算法提取影响掘进巷道需风量的关键因素,以关键因素作为输入层建立了遗传—神经网络风速预测优化模型,开发了组态王上位机监控程序及远程控制界面,并运用S7-200 SMART PLC搭建了基于比例—积分—微分(PID)风量闭环调控技术的掘进面智能变频通风控制系统。研究结果表明:遗传—神经网络风速预测优化模型可根据掘进面不同工况环境参数协同预测风速。智能变频通风控制系统能够通过组态界面实时监测井下掘进面环境参数,还提供自动和手动2种远程控制方式。相比于恒定电源频率调控风机风量,采用PID风量闭环调控技术能远程智能变频控制风机风量,从而使巷道实际风速持续稳定逼近预测值。所研发的智能变频通风控制系统可以广泛应用于不同类型的矿井,实现通风设备自适应调控响应。
In view of the production safety problem that the working point of the traditional local fan will cause real-time deviation with the advance of the driving lane,in order to study the influence of multiple environmental parameters(dust concentration,methane concentration,temperature and humidity,etc.)on the wind speed of the excavation roadway,explore the way of intelligent control technology to guide the local fan frequency conversion operation,and realize the real-time monitoring,collaborative prediction and frequency conversion control of the ventilation state of the driving surface,an intelligent variable frequency ventilaiton risk control system for driving face was designed.Based on the intelligent control theory,grey correlation analysis algorithm was used to extract the key factors affecting the air demand of the excavation roadway,and the genetic-neural network wind speed prediction optimization model was established with the key factors as the input layer.The monitoring program and remote control interface of Kingview host computer were developed.S7-200 SMART PLC is used to build the intelligent variable frequency pass risk control system based on proportional-integral-differential(PID)air flow closed-loop control technology.The results show that the genetic-neural network wind speed prediction optimization model can cooperate to predict the wind speed according to the environmental parameters of different working conditions of the tunneling surface.The intelligent variable frequency ventilation control system can monitor the environmental parameters of the underground driving face in real time through the configuration interface,and also provides two remote control methods:automatic and manual.Compared with the constant power supply frequency,PID air volume closed-loop control technology can control the fan air volume by remote intelligent frequency conversion,so that the actual wind speed of the roadway can approach the predicted value continuously and stably.The intelligent variable frequency ventilation control system can be widely used in different types of mines to realize the adaptive control response of ventilation equipment.
作者
蒋仲安
杨向东
JIANG Zhong′an;YANG Xiangdong(School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;NHC Key Laboratory for Engineering Control of Dust Hazard,Beijing 100083,China)
出处
《金属矿山》
CAS
北大核心
2023年第7期57-65,共9页
Metal Mine
基金
国家自然科学基金项目(编号:51874016)。
关键词
智能控制
变频通风
实时监测
风量预测
闭环调控
intelligent control
variable frequency ventilation
real-time monitoring
airflow prediction
closed-loop control
