Warehouse Environment Parameter Monitoring System and Sensor Error Correction Model Based on PSO-BP

被引：0
|
作者：
Lin S. [1 ]
Wang G. [1 ]
Chen Y. [1 ]
Wang L. [1 ]
Qiao Z. [1 ]
Gao F. [1 ]
机构：
[1] Laboratory of Nanotechnology and Microsystems, College of Mechanical Engineering, Shijiazhuang
来源：
Transactions of Nanjing University of Aeronautics and Astronautics | 2017年 / 34卷 / 03期
关键词：
Fault diagnosis; Parameter portable monitoring system; Particle swarm optimization-back propagation(PSO-BP); ZigBee technology;
D O I：
10.16356/j.1005-1120.2017.03.333
中图分类号：
学科分类号：
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. © 2017, Editorial Department of Transactions of NUAA. All right reserved.
引用
收藏
页码：333 / 340
页数：7
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