远程对医院实验室温度优化监控仿真

Remote Control and Simulation of Temperature Optimization in Hospital Laboratory

远程对医院实验室温度进行监控,可有效的提升医院实验室的环境质量。对医院实验室温度的远程控制,需要计算出信号的截止频率,给出温度系统初始自动状态转移矩阵,完成远程温度控制。传统方法通过上位机监控单元和现场控制单元,采集现场的温度信息传至ARM进行数据的分析与处理,但无法得出温度状态转移矩阵,导致远程监控精度低。提出基于神经网络的医院实验室中温度的远程监控方法。融合于分布图理论设计一阶型滤波器,利用滤波器消除高频干扰信号,给出温度系统初始自动机状态转移矩阵,将径向基神经网络和常规PID相结合给出温度的远程监控控制策略,利用RBF神经网络辨识器对温度控制系统的Jaeobian矩阵信息在线辨识,完成对医院实验室中温度的远程监控。仿真结果表明,所提方法监控精度高,可以为提升医院实验室内的环境质量给出科学的依据。

This article proposes a method for remote supervision of temperature in hospital laboratory based on neural network. Firstly, a filter with first order type integrated with distribution diagram was designed and used to e- liminate signal with high-frequency interference and initial state-transition matrix of automat in temperature system was provided. Then a neural network with radial basis function （RBF） was integrated with general PID to provide control strategy of remote supervision and used identifier of RBF neural network to carry out on-line identification for Jacobian matrix information of temperature control system. Finally, the remote supervision was completed. Experi- mental results show that the method has high supervision precision and can provide scientific gist for improving envi- ronmental quality in hospital laboratory.