摘要
针对嵌入式系统电子通信节能的控制要求,提出一种基于模糊神经网络(FuzzyNeuralNetwork,FNN)的节能控制算法,通过改变系统电路的电压调节变化率、调节时间,得到节能控制系统的最优节能方案,大大提升嵌入式节能系统的运行效率、降低设备通信控制能耗。实验结果表明,采用模糊神经网络算法的系统节能控制后,接入电气设备的通信电路总能耗为4.8335kw·h,显著优于节能控制前的通信控制能耗,可作为后续嵌入式系统电路控制的参考。
In response to the control requirements for energy saving in electronic communication of embedded systems,an en-ergy saving control algorithm based on Fuzzy Neural Network(FNN)is proposed.By changing the voltage regulation change rate and regulation time of the system circuit,the optimal energy saving scheme for the energy saving control system is obtained,greatly improving the operating efficiency of the embedded energy saving system and reducing the energy consumption of equi-pment communication control.The experimental results show that the total energy consumption of the communication circuit connected to the electrical equipment after the energy-saving control of the system using the fuzzy neural network algorithm is 4.8335kw.h,which is significantly better than the energy consumption of the communication control before the energy-saving control,and can be used as a reference for subsequent embedded system circuit control.
作者
赖菊兰
LAI Julan(Software Engineering Institute of Guangzhou,510990 Guangzhou)
出处
《长江信息通信》
2023年第8期136-138,共3页
Changjiang Information & Communications
基金
教育部产学合作协同育人项目:项目编号:220605211104303。
关键词
嵌入式技术
电子通信
节能
应用
embedded technology
Electronic communication
Energy saving
application
