基于分布式温度采集技术的中央空调节能运行方案设计

针对楼宇中央空调系统运行温度智能控制存在的问题,提出了一种现场可编程门阵列FPGA控制的数字式温湿度传感器对各楼层、多点进行温度实时巡检,对温度、湿度进行定时采集,测量结果通过RS485总线传输至主机,分析计算后输出控制指令对风机盘管进行变频控制。对水系统的温度和流量参数进行采集,通过工控机对空调负荷与末端负荷进行匹配分析,输出对水系统进行变频控制指令,使其与末端负荷实现匹配运行,从而达到节能的效果。采用神经网络与预测控制相结合控制策略,实现了对大迟延、大惯性对象优化控制;采用组态软件LabVIEW编写了通讯与控制程序。

Design of Energy-saving Operation Scheme for Central Air Conditioning Based on Bus-powered Measurement Technology

In view of the problems in the intelligent control of the operating temperature of the building central air conditioning system,a digital temperature and humidity sensor controlled by FPGA is put forward to inspect the temperature of each floor and multiple points in real time and collect the temperature and humidity regularly.The measurement results are transmitted to the host computer through RS485 bus.After analysis and calculation,the control command is output to carry out frequency conversion control on the fan coil.The temperature and flow parameters of the water system are collected,the air conditioning load and the terminal load are matched and analyzed by the industrial computer,and the frequency conversion control instructions are output to the water system,so that it can be matched with the terminal load for operation,so as to achieve the effect of energy saving.The control scheme combining neural network and predictive control is adopted to realize the optimal control of large delay and large inertia objects.The communication and control program is written by LabVIEW.