散落架构下伪随机唤醒的自适应药品温湿度监控

Adaptive Medicine Temperature and Humidity Monitoring Based on Pseudo Random Wake in Scattered Architecture

药品存储过程中,需要依据外界温湿度变化对药品存储环境进行自适应调节,达到药品最佳储存温湿度.传统方法基于随机分布模型,采用Wiener进化迭代方法,通过间断采集与闭环反馈对药品存储环境温湿度进行监测,受制于进化方法的瑞利特性,无法保证闭环反馈的稳健收敛.提出一种散落架构下基于伪随机唤醒的自适应药品温湿度监控方法,解决传统方法闭环反馈无法稳健收敛的问题,进行药品的散落架构模型构建,通过伪随机唤醒机制,获得药品温湿度调控请求,通过模糊反馈,计算出最佳反馈闭环因子,作用于模糊系统,准确实现温湿度调控.实验表明,改进算法能实现对所有温湿度需求药品的自适应稳健闭环调控,温度控制精度0.1°,相对湿度控制精度0.5%,算法收敛速度快,且收敛稳健.

In the medicine stored procedure ,the outside temperature and humidity should change with the need of the medicine ,the pharmaceuticals adaptive storage environment need to achieve for the optimum storage temperature and humidity .Random distribution model is used in traditional methods ,an iterative approach Wiener evolution by intermittent loop feedback system is used for medicine storage temperature and humidity monitoring ,subject to the evolutionary approach of Rayleigh characteristics , the guarantee is not steady convergence of the closed - loop feedback .An adaptive medicine temperature and humidity monitoring based on pseudo random wake in scattered architecture is proposed to solve the robust convergence problems in traditional method , the scattered medicines architecture model is constructed by pseudo - random wake - up mechanism , the temperature and humidity regulation is accessed to medicines by fuzzy feedback ,the optimal feedback loop factor is calculated and acted on the fuzzy system to achieve accurate temperature and humidity regulation . Experimental results show that with the improved algorithm ,the needs of all medicines temperature and humidity stable closed -loop adaptive control is realized ,the temperature control accuracy is 0 .1 ° ,the relative humidity control accuracy is 0 .5% ,the algorithm is faster convergence .