【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。更多还原

【Abstract】 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.更多还原