美国《工程索引》核心期刊
中国科学引文数据库核心期刊
国际刊号:ISSN 1005-1120
国内刊号:CN 32-1389/V
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  • 主管:工业和信息化部
  • 主办:南京航空航天大学
  • 国际刊号:ISSN 1005-1120
  • 国内刊号:CN 32-1389/V
  • 地址:南京市御道街29号
  • 电话:025-84892071
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Lin Sen, Wang Guanglong*, Chen Yingjie, Wang Le, Qiao Zhongtao, Gao Fengqi.Warehouse Environment Parameter Monitoring System and Sensor Error Correction Model Based on PSO-BP[J].南京航空航天大学学报英文版,2017,34(3):333-340
Warehouse Environment Parameter Monitoring System and Sensor Error Correction Model Based on PSO-BP
  
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中文关键词:  
英文关键词:parameter portable monitoring system; ZigBee technology; particle swarm optimization back propagation(PSO BP); fault diagnosis
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作者单位
Lin Sen, Wang Guanglong*, Chen Yingjie, Wang Le, Qiao Zhongtao, Gao Fengqi Laboratory of Nanotechnology and Microsystems, College of Mechanical Engineering,Shijiazhuang 050003, P.R.China 
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中文摘要:
      
英文摘要:
      The warehouse environment parameter monitoring system is designed to avoid the networking and high cost of traditional monitoring system. A sensor error correction model which combines particle swarm optimization (PSO) with back propagation (BP) neural network algorithm is established to reduce nonlinear characteristics and improve test accuracy of the system. Simulation and experiments indicate that the PSO BP neural network algorithm has advantages of fast convergence rate and high diagnostic accuracy. The monitoring system can provide higher measurement precision, lower power consume, stable network data communication and fault diagnoses function. The system has been applied to monitoring environment parameter of warehouse, special vehicles and ships, etc.
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