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基于IAGA-BP算法的电缆井有害气体分布式监测系统

Distributed Monitoring System for Hazardous Gases in Cable Wells Based on IAGA-BP Algorithm

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【作者】 程震磊郭家虎

【Author】 CHENG Zhenlei;GUO Jiahu;College of Electrical and Information Engineering, Anhui University of Technology;

【通讯作者】 郭家虎;

【机构】 安徽理工大学电气与信息工程学院

【摘要】 针对气体传感器因交叉干扰及环境因素导致测量精度低,无法准确监测电缆井有害气体的问题,利用IAGA-BP算法对气体传感器测量值在线误差补偿,提出电缆井有害气体分布式监测系统方案。系统融合MSP430单片机、4G模块和传感器搭建采集终端,获取有害气体CO,CH4,H2S浓度及环境温、湿度,利用4G模块将数据透传至服务器;再将校正后的数据推送给检修人员,实时监测电缆井有害气体。实验结果表明:经IAGA-BP算法补偿后,三种气体平均相对误差在BP算法基础上均减少30%以上,精度在原测量值基础上分别提高11.02%,8.94%,14.24%,为精准监测电缆井有害气体提供一种新方法。

【Abstract】 Aiming at the problem of low measurement accuracy of gas sensors due to cross interference and environmental factors, which cannot accurately monitor harmful gases in cable wells, the IAGA-BP algorithm is used to compensate the online error of gas sensor measurement values and propose a distributed monitoring system solution for harmful gases in cable wells. The system integrates MSP430 microcontroller, 4G module and sensors to build a collection terminal to obtain harmful gas CO, CH4, H2S concentration and ambient temperature and humidity, and use 4G module to wirelessly transmit the data to the server. Then push the corrected data to the maintenance personnel to monitor the harmful gas in cable wells in real time. The application shows that after compensation by IAGA-BP algorithm, the average relative error of the three gases is reduced by more than 30% based on BP algorithm, and the accuracy is increased by 11.02%, 8.94% and 14.24% respectively based on the original measurement value, which provides a new method for accurate monitoring of harmful gases in cable wells.

【基金】 国家自然科学基金(52174141);安徽省自然科学基金(2108085ME158)
  • 【文献出处】 佳木斯大学学报(自然科学版) ,Journal of Jiamusi University(Natural Science Edition) , 编辑部邮箱 ,2023年02期
  • 【分类号】X932;TP212;TP18
  • 【下载频次】38
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