博物馆温湿度检测系统的研究与改进  

Research and improvement of temperature-humidity detection system for museums

作　　者：王琦[1] 焦文潭 高向川[1] WANG Qi;JIAO Wentan;GAO Xiangchuan(School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China;College of Electrical Engineering and Automation,Luoyang Institute of Science and Technology,Luoyang 471023,China)

机构地区：[1]郑州大学信息工程学院,河南郑州450001 [2]洛阳理工学院电气工程与自动化学院,河南洛阳471023

出　　处：《现代电子技术》2020年第9期92-95,共4页Modern Electronics Technique

基　　金：国家自然科学基金资助项目(61640003);河南省科学技术厅科技发展计划(172102210400)。

摘　　要：针对市面上应用于博物馆环境下的温湿度检测装置测量精度低且功耗过高等问题,设计准确度高、操作简单、功耗低、小巧轻便的检测装置,实现对温湿度的精确测量和快速反馈。系统采用MSP430单片机和SHT11芯片设计温湿度检测模块,用ZigBee技术实现数据从检测模块到终端的传送。采用迭代次数少、收敛速度快的RLS-BP神经网络算法对采集数据进行优化。仿真及现场实验结果均表明,该系统检测精度高、抗干扰能力强、可扩展性好,算法优化效果明显,可较好地满足博物馆对环境温湿度检测的特殊要求,具有良好的应用推广价值。For the temperature-humidity detection devices used in the museum environment and existing in the market are of low accuracy and high power consumption,a detection device with high accuracy,simple operation,low power consumption,and compact and portable shape is designed to achieve an accurate measurement and a rapid feedback on the temperature and humidity. In the system,MSP430 SCM(single chip microcomputer)and SHT11 chip are used to design a temperature-humidity detection module,the ZigBee technology is used to achieve the data transmission from the detection module to the terminal,and the RLS-BP neural network algorithm with few iterations and fast convergence rate is used to optimize the collected data. The results of simulation and field experiments show that the system is of high detection accuracy,powerful anti-interference ability and good expansibility, and the adopted algorithm is of obvious optimization effect. Therefore, it can meet the special requirements of temperature-humidity detection in the museum environment,and has a high value in the promotion and application.

关 键 词：文物保护 温湿度检测 无线通信技术 BP神经网络算法 温湿度矫正 RLS-BP神经网络算法 

分 类 号：TN98-34[电子电信—信息与通信工程]