基于嵌入式的粉尘检测报警系统设计
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摘要
在工业生产过程中,大量粉尘不仅对设备造成阻塞影响使用寿命,严重的还会造成爆炸和人体致癌。静电式检测系统可以识别不同气体和颗粒灰尘浓度,设计MCP6021电荷积分电路、1～2 000倍自适应放大电路、4～20m A电流环等硬件电路,并利用LabVIEW作为上位机软件对粉尘信号进行ppm级的谐波浓度检测,实时采集现场的粉尘静电信号并进行分析实验。实验表明系统可以对0. 4mg/m~3以上的浓度进行检测,对30 mg/m~3以上浓度进行报警。测试结果表明系统可以在工业制造现场实时检测多种尺寸粉尘。
In the industrial production process,a lot of dust will be produced,which will not only cause blockage to the equipment,but also lead to explosion and human carcinogenesis. Electrostatic detection system can identify different concentrations of gas and particle dust. MCP6021 charge integral circuit,1 ～ 2 000 times adaptive amplifier circuit,4 ～ 20 m A current loop and other hardware circuits were designed. Moreover,Labview was used as the upper computer software to detect the harmonics concentration of the dust signal at the level of ppm,dust electrostatic signal was collected in real time and was analyzed. Experiments show that the concentration above 30 mg/m~3 can be alarmed,and the concentration above 0. 4 mg/m~3 can be detected. The test results show that the system can detect various kinds of dust in industrial manufacturing site in real time.
In the industrial production process,a lot of dust will be produced,which will not only cause blockage to the equipment,but also lead to explosion and human carcinogenesis. Electrostatic detection system can identify different concentrations of gas and particle dust. MCP6021 charge integral circuit,1 ～ 2 000 times adaptive amplifier circuit,4 ～ 20 m A current loop and other hardware circuits were designed. Moreover,Labview was used as the upper computer software to detect the harmonics concentration of the dust signal at the level of ppm,dust electrostatic signal was collected in real time and was analyzed. Experiments show that the concentration above 30 mg/m~3 can be alarmed,and the concentration above 0. 4 mg/m~3 can be detected. The test results show that the system can detect various kinds of dust in industrial manufacturing site in real time.
引文
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[2]周凯红,李成,王聪毅,等.基于CAN总线的车间粉尘检测系统设计[J].仪表技术与传感器,2016(11):81-84.
[3]谢鹏程,陈青山,李响.基于机器视觉的工矿现场粉尘实时监测[J].工矿自动化,2017,43(3):61-65.
[4]周雷刚,梁庭,高利聪.红外传感器的微弱信号检测与处理[J].仪表技术与传感器,2014(12):5-6.
[5]周子昂,徐坤,吴定允.一种便携式井下多参数监控系统的设计及实现[J].河南理工大学学报(自然科学版),2017,36(2):99-104.
[6]王峻,高中南,车高凤,等.动荷载作用下粉煤灰改性黄土的震陷特性[J].地震工程学报,2016,38(5):751-756.
[7]张琛,杜杰.矿井下粉尘监测四轴飞行器设计与应用[J].煤炭技术,2017,36(8):229-231.
[8]徐修平,万立力.非煤地下矿山开采作业粉尘关键控制区域与时段研究[J].金属矿山,2016(6):153-156.
[9]顾信君,叶玉龙,杨丽丽.上海市金山区工作场所中粉尘检测结果分析[J].中国卫生检验杂志,2014,24(2):242-243.
[10]李天华,胡红博.光散射式鸡舍粉尘检测技术的研究[J].中国农机化学报,2014,35(1):186-188.
[11]王雪瑞,李艳玮,李拴保.分布式矿井粉尘浓度在线监控系统[J].计算机测量与控制,2014,22(7):2084-2086.
[12]郭简,梅永贵,王景悦,等.沁水盆地煤层气集输管网粉尘监测分析[J].天然气工业,2014,34(8):118-122.