基于移动图像检测算法的景观照明系统优化改进研究  

Research on optimization and improvement of landscape lighting system based on moving image detection algorithm

作　　者：范玥[1] FAN Yue(Xi’an Siyuan University,Xi’an 710038,China)

机构地区：[1]西安思源学院,西安710038

出　　处：《自动化与仪器仪表》2023年第9期124-128,共5页Automation & Instrumentation

基　　金：西安思源学院校级课题《基于再生水回用的白鹿原人工湿地项目的景观规划及生态性研究》(XASYZD-B2203)。

摘　　要：随着能源节约型社会建设的加快,为减少建筑景观照明的能耗,研究从数字图像移动检测技术入手,设计了基于TCAIE-LGM算法的景观照明优化系统。首先利用信息熵和直方图角二阶距对图像进行预处理;随后提出了基于PBAS算法的移动图像检测,并对照明系统进行了总体设计;最后对该系统的可行性进行了检验。结果显示,该系统对移动图像检测的最高准确率达到91.8%,建筑景观照明耗能最低为3.7 kW·h。这表明该系统提高了动态目标检测准确性,增强了景观照明系统在各种气候条件下的适用性,同时也节约了建筑能源消耗成本,优化了建筑景观照明系统的使用效果,有利于提高景观照明管理水平的提升,改善城市照明环境,促进能源节约,推动可持续性社会的发展。With the acceleration of the construction of an energy-efficient society,energy consumption control poses a new challenge to architectural landscape lighting.In order to improve the economy and stability of architectural landscape lighting,the research starts with digital image movement detection technology,improves the architectural landscape lighting system,and designs a landscape lighting optimization system based on TCAIE-LGM smoothing.Firstly,the image is preprocessed by combining information entropy and histogram angle second-order distance method;Then the moving image detection based on PBAS algorithm is proposed,and the overall design of the lighting system is carried out;Finally,the feasibility of the system is tested.The results show that the highest accuracy of the system for moving image detection is 91.8%,and the lowest energy consumption of building landscape lighting is 3.7 KWh.This shows that the system improves the accuracy of dynamic target detection,enhances the applicability of landscape lighting system under various climatic conditions,and saves energy consumption costs,which is conducive to reducing buildings and promoting the development of sustainable society.

关 键 词：PBAS算法 TCAIE-LGM平滑算法 建筑景观 照明系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]