首页|基于多传感器的化工有害气体自动预警系统研究

基于多传感器的化工有害气体自动预警系统研究

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有害气体信号传输过程中受到通道干扰影响,会导致预警效果不佳.为了提高化工有害气体自动预警效果,设计了一种应用多传感器采集信息的化工有害气体自动预警系统.首先,选择多个传感器采集化工有害气体相关数据,构建数据采集适应性函数,以避免出现数据采集误差.然后,结合粒子群算法进行多传感器数据采集,构建高斯烟羽扩散模型.最后,计算化工有害连续源气体稳定浓度和气体泄漏速度,并依据计算结果作自动预警.试验结果表明,该系统监测的C2H3Cl、SO2浓度值与实际数据分别存在最大仅为0.02×10-6、0.01 ×10-6的误差.该系统的预警效果较好,具有一定应用价值.
Research on Multi-Sensor-Based Automatic Early Warning System for Chemical Hazardous Gases
Hazardous gases signal transmission process is affected by channel interference,which can lead to poor warning effect.To improve the automatic warning effect of chemical hazardous gases,an automatic warning system for chemical hazardous gases applying multi-sensor to collect information is designed.Firstly,multi-sensor are selected to collect data related to chemical hazardous gases,and the data collection adaptive function is constructed to avoid data collection errors.Then,the multi-sensor data acquisition is combined with particle swarm algorithm to construct Gaussian plume diffusion model.Finally,the stable concentration of chemical hazardous continuous source gases and gas leakage rate are calculated,and automatic warning is carried out based on the calculation results.The experimental results show that the system monitors the C2H3C1 and SO2 concentration values with a maximum error of only 0.02x 10-6 and 0.01 x 10-6 with the actual data,respectively.The early warning effect of the system is better and has certain application value.

Multi-sensorChemical hazardous gasesInformation acquisitionAutomatic warningZigBee networkTest device

陆启武

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中海兴发(广东)安全技术服务有限公司,广东广州 510663

多传感器 化工有害气体 信息采集 自动预警 ZigBee网络 测试装置

广东省科学技术研究基金资助项目

56231J32

2024

自动化仪表
中国仪器仪表学会 上海工业自动化仪表研究院

自动化仪表

CSTPCD
影响因子:0.655
ISSN:1000-0380
年,卷(期):2024.45(1)
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