智能电子控制系统的设计与优化  

Design and Optimization of Intelligent Electronic Control System

作　　者：钟岽 ZHONG Qiao(Zhongshan County Vocational and Technical School,Guangxi 542699,China.)

机构地区：[1]钟山县职业技术学校,广西542699

出　　处：《电子技术(上海)》2025年第1期372-373,共2页Electronic Technology

基　　金：2023年度广西职业教育教学改革课题(GXZZJG2023B365)。

摘　　要：阐述一种基于人工智能的电子电器智能控制系统的设计与优化方法。该方法结合深度学习和机器学习技术,利用传感器数据实时监测电子电器的工作状态、能耗及环境因素,通过自动调节设备运行参数实现节能与高效运行。系统通过深度学习算法的持续训练与优化,逐步提升控制的准确性和灵活性。This paper describes the design and optimization method of an intelligent control system for electronic appliances based on artificial intelligence.This method combines deep learning and machine learning techniques,using sensor data to monitor the working status,energy consumption,and environmental factors of electronic appliances in real time.It achieves energy-saving and efficient operation by automatically adjusting equipment operating parameters.The system gradually improves the accuracy and flexibility of control through continuous training and optimization of deep learning algorithms.

关 键 词：智能控制系统 电子电器 神经网络算法 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN0[自动化与计算机技术—控制科学与工程]