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开发了一种烟叶库基于环境参数的空调机组智能控制系统。通过空气焓值自动确定工况 ,利用BP神经网络法确定空调机组的最佳运行时间 ,并用多模态仿人工智能控制算法实现对空调机组的运行控制 ,在实际运行中取得了安全节能稳定的控制效果
An intelligent control system for air conditioners based on environmental parameters was developed. The air enthalpy was automatically determined by the use of BP neural network method to determine the best running time of air conditioning units and multi-modal artificial intelligence control algorithm to achieve the operation of air-conditioning unit control achieved in the actual operation of a safe energy-saving and stable Control effect