基于ZigBee技术的中央空调无线监控系统设计

发布时间：2019-06-25 10:38

【摘要】：随着社会的不断发展与进步,中央空调系统作为智能建筑的重要组成部分也越来越受到人们的关注。由于中央空调系统能耗大(占整个智能建筑总能耗30%左右)和不易集中化智能管理,因此,如何运用先进的控制技术对中央空调进行有效的节能控制和对中央空调进行ZigBee网络化集中管理已成为当今控制领域研究的热点问题。为了解决有线方式布线复杂,费用高的问题。本文设计了基于无线网络的中央空调监控系统,实现了中央空调的集中智能管理、远程通讯。采用了 ZigBee技术对中央空调系统进行管理和控制。提出了一种基于CC2430和ZigBee协议栈为研究平台的ZigBee网络通信技术,实现对中央空调的远程控制,将中央空调末端风机盘管进行物联,实现统一管理与控制。设计了中央空调监控系统的总体方案和ZigBee网络的总体结构,并进行了系统的硬件和软件设计。采用了模块化的设计方法,包括CC2430模块、无线收发模块、温湿度传感器模块和底层板STM32F103模块的电路进行了设计,软件设计采用了 ZigBee子网的组建和底层版设计方法,设计了中央空调监控系统管理软件。采用了 ACO-AODV算法的ZigBee无线传感器网络路由算法,在一定程度上降低了总体网络能耗,而且能在减少失效节点的同时保持了低时延的网络性能,从而延长整个ZigBee网络使用寿命。并通过仿真实验验证了其有效性。针对中央空调的ZigBee网络中,节点多,容易出现错误和故障缺点,提出了能量均衡和蚁群优化的EAFT容错路由算法。通过仿真实验结果表明EAFT算法在容错和节能方面效果明显,具有实际应用价值。本文在分析了变风量空调系统的工作原理和传统的变风量空调控制算法的基础上,设计了基于遗传算法的模糊神经网络的中央空调控制系统,采用遗传算法优化神经网络的权值,并通过神经网络输出调整模糊控制器中的模糊控制规则,实现了系统的优化控制,使得变风量空调能达到更加理想的控制效果。
[Abstract]:With the continuous development and progress of society, central air conditioning system, as an important part of intelligent building, has attracted more and more attention. Because the energy consumption of central air conditioning system is large (accounting for about 30% of the total energy consumption of the whole intelligent building) and it is not easy to centralize intelligent management, how to use advanced control technology to carry out effective energy saving control of central air conditioning and ZigBee network centralized management of central air conditioning has become a hot issue in the field of control. In order to solve the problem of complex wired wiring and high cost. In this paper, a central air conditioning monitoring system based on wireless network is designed, and the centralized intelligent management and remote communication of central air conditioning are realized. ZigBee technology is used to manage and control the central air conditioning system. A ZigBee network communication technology based on CC2430 and ZigBee protocol stack is proposed to realize the remote control of central air conditioning. The fan coil at the end of central air conditioning is connected to realize unified management and control. The overall scheme of central air conditioning monitoring system and the overall structure of ZigBee network are designed, and the hardware and software of the system are designed. The modularization design method is adopted, including CC2430 module, wireless transceiver module, temperature and humidity sensor module and bottom board STM32F103 module. The software design adopts the construction of ZigBee subnet and the design method of the bottom version, and designs the management software of the central air conditioning monitoring system. The ZigBee wireless sensor network routing algorithm based on ACO-AODV algorithm reduces the overall network energy consumption to a certain extent, and can reduce the failure nodes while maintaining the network performance with low delay, thus prolonging the service life of the whole ZigBee network. The effectiveness of the proposed method is verified by simulation experiments. Aiming at the ZigBee network of central air conditioning, which has many nodes and is prone to errors and faults, a EAFT fault-tolerant routing algorithm based on energy balance and ant colony optimization is proposed. The simulation results show that the EAFT algorithm has obvious effect on fault tolerance and energy saving, and has practical application value. Based on the analysis of the working principle of VAV air conditioning system and the traditional VAV air conditioning control algorithm, the central air conditioning control system based on fuzzy neural network based on genetic algorithm is designed in this paper. Genetic algorithm is used to optimize the weight of neural network, and the fuzzy control rules in fuzzy controller are adjusted by the output of neural network, and the optimal control of the system is realized. So that the variable air volume air conditioning can achieve a more ideal control effect.
【学位授予单位】：沈阳建筑大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU831;TP277;TN92

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