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提出一种基于WEB嵌入式自适应智能控制系统设计方案,提供了各组成模块软硬件的详细设计与具体实现;系统采用主流的S3C2410作为处理器,通过I2C总线实现各硬部件的连接;开发的嵌入式WEB服务器模块,使得用户能够对温度传感器读数进行互联网远程监测和多路数字、模拟量输出智能控制;并且神经网络模块能够自适应地学习和控制温度读数与制冷设备输出数之间的关系。实验结果显示改进后的Hopfield算法的收敛性和记忆性得到了提高,并使该系统具有较大的应用价值。
A design scheme based on WEB embedded adaptive intelligent control system is proposed, which provides the detailed design and concrete realization of the hardware and software components of each module. The system adopts the mainstream S3C2410 as a processor and realizes the connection of hardware components through the I2C bus. Embedded WEB server module enables users to remotely monitor the temperature sensor readings and intelligent control of multiple digital and analog outputs; and the neural network module can adaptively learn and control the relationship between the temperature reading and the output of the refrigeration equipment . The experimental results show that the convergence and memory of the improved Hopfield algorithm are improved, and the system has greater application value.