校园建筑设计能耗优化监测仿真研究

发布时间：2018-07-16 14:23

【摘要】：对校园建筑设计能耗的优化监测,能够有效建设节约型校园。对校园建筑的能耗监测,需要将整个监测网络划分为多个子网络,计算出不同建筑层面下任意两节点之间传输的能量消耗,完成建筑能耗的监测。传统方法组建混沌神经网络建筑节能监测模型,给出节能通信最优机制,但忽略了计算任意两节点之间传输的能量消耗,导致监测精度偏低。提出校园建筑能耗优化监测方法。上述方法先以校园建筑环境为背景,利用建筑能耗优化监测系统中的节点拓扑可控和位置固定等特点,将整个监测网络划分为多个子网络,计算出建筑层面中任意两节点之间传输的能量消耗,得到节点传输数据时所需要的整体能量消耗,给出簇头节点位置坐标,并对建筑能耗引入监测环节,完成对校园建筑能耗优化监测。实验结果表明,所提方法监测精度较高,为建设节约型校园提供了依据。
[Abstract]:The optimal monitoring of the energy consumption of campus building design can effectively build a saving campus. For the energy consumption monitoring of campus buildings, it is necessary to divide the whole monitoring network into several sub-networks, calculate the energy consumption between any two nodes under different building layers, and complete the monitoring of building energy consumption. The traditional method of building energy saving monitoring model based on chaotic neural network gives the optimal mechanism of energy saving communication, but neglects to calculate the energy consumption between any two nodes, which leads to the low monitoring accuracy. The optimal monitoring method of campus building energy consumption is put forward. Based on the background of campus building environment and the characteristics of node topology controllability and fixed position in the building energy consumption optimization monitoring system, the whole monitoring network is divided into several sub-networks. The energy consumption between any two nodes in the building layer is calculated, and the overall energy consumption is obtained when the nodes transmit data. The location coordinates of cluster head nodes are given, and the building energy consumption is monitored. Complete the optimization monitoring of campus building energy consumption. The experimental results show that the proposed method has high monitoring accuracy and provides the basis for the construction of energy-saving campus.
【作者单位】：吉林建筑大学城建学院;
【基金】：吉林省教育厅“十三五”科学技术研究规划项目(JJKH20171003K)
【分类号】：TP274;TU111.195;TU244

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