矿用智能化高精度粉尘检测系统的设计
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摘要
针对现有粉尘检测设备操作复杂,不能连续实时检测和功能少等问题,设计了一款智能化高精度粉尘检测系统。该系统以ARM9为核心,粉尘经过电容式传感器直接会引起介质常数的变化,转化为电信号,经运放放大送入ARM9分析和处理,实现浓度信息的采集。该电容式传感器采用MS31110芯片,联合使用温湿度传感器DHT11,对于温湿度对粉尘浓度的干扰,在算法层面进行补偿修正,并将最终得到的数据传输至上位机显示。实验结果显示,该系统的相对误差小于10%,具有自动显示、自动USB转储、无线传输及超限报警等功能。
Aiming at the problems of complicated operation of existing dust detection equipment. They can not achieve continuous real-time detection and few functions,an intelligent high-precision dust detection system is designed. The system takes ARM9 as the core,and the dust directly causes the change of the dielectric constant via the capacitive sensor,which is converted into an electrical signal,which is sent to the ARM9 for analysis and processing through the operational amplifier amplification to realize the collection of the concentration information. The capacitive sensor adopts the MS31110 chip and uses the temperature and humidity sensor DHT11 in combination. For the interference of temperature and humidity on the dust concentration,the compensation is corrected at the algorithm level,and the finally obtained data is transmitted to the upper computer for display. The experimental results show that the relative error of the system is less than 10%,with automatic display,automatic USB dump,wireless transmission and over-limit alarm.
Aiming at the problems of complicated operation of existing dust detection equipment. They can not achieve continuous real-time detection and few functions,an intelligent high-precision dust detection system is designed. The system takes ARM9 as the core,and the dust directly causes the change of the dielectric constant via the capacitive sensor,which is converted into an electrical signal,which is sent to the ARM9 for analysis and processing through the operational amplifier amplification to realize the collection of the concentration information. The capacitive sensor adopts the MS31110 chip and uses the temperature and humidity sensor DHT11 in combination. For the interference of temperature and humidity on the dust concentration,the compensation is corrected at the algorithm level,and the finally obtained data is transmitted to the upper computer for display. The experimental results show that the relative error of the system is less than 10%,with automatic display,automatic USB dump,wireless transmission and over-limit alarm.
引文
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[3]蒋猛,马鸿廉,陈栋,等.基于PCA的矿山设备安全评价[J].金属矿山,2013(2):108-114.
[4]张荣华,邹超华.基于STM32的大气粉尘浓度实时检测系统设计[J].四川理工学院学报(自然科学版),2016,29(2):14-18.
[5]黄成玉,李学哲,邓永红,等.基于物联网技术的采煤机智能监控系统设计[J].电气应用,2013,32(24):85-89.
[6]张全柱,葛艳香,邓永红,等.基于物联网的矿用粉尘智能传感器研究[J].华北科技学院学报,2017,14(5):35-39.
[7]王娇.基于无线传感器网络的粉尘浓度检测系统研究[D].西安:西安工业大学,2014.
[8]孙博.矿井粉尘浓度测量技术研究[D].长春:长春理工大学,2015.
[9]张清云.煤矿井下粉尘浓度检测技术研究[D].天津:天津科技大学,2017.