摘要
当前室内空间环境舒适度检测方存在误差大,时间长等不足,为了获得理想的室内空间环境舒适度检测结果,提出了基于激光感知信息的室内空间环境舒适度检测方法。首先分析当前室内空间环境舒适度检测进展,找到引起室内空间环境舒适度检测效果不佳的理由,然后引入激光感知技术采集室内空间环境舒适度的相关信息,并引入大数据分析方法建立室内空间环境舒适度检测模型,最后的室内空间环境舒适度检测仿真测试结果表明,所提方法的检测时间平均值为0.6 s,所提方法的查全率为88.5%,准确率为82.5%,该方法的室内空间环境舒适度检测精度高,而且缩短了室内空间环境舒适度检测时间。
The current indoor comfort degree detection method has large errors,long-time consumption and other shortcomings.In order to obtain the indoor comfort degree detection results,an indoor comfort degree detection method based on laser sensing information is proposed.Firstly,the current progress of indoor comfort degree detection is analyzed,the reasons for poor detection effect are found,and then the laser sensing technology is introduced to collect information about indoor comfort degree,and the big data analysis methods are introduced to establish indoor comfort degree detection model.The final indoor comfort degree detection simulation test results show that the average detection time of the proposed method is 0.6 s,the recall rate is 88.5%,and the accuracy rate is 82.5%.The indoor comfort level detection accuracy is high,and the indoor comfort level detection time is shortened.
作者
梁莉娟
张琰
邬英婕
LIANG Lijuan;ZHANG Yan;WU Yingjie(Institute of Artificial Intelligence,Wuchang Institute of Technology,Wuhan 430065,China)
出处
《激光杂志》
CAS
北大核心
2022年第7期49-52,共4页
Laser Journal
基金
湖北省教育厅科学技术研究计划项目(No.B2020268)。
关键词
激光物理
感知信息
室内环境舒适度
大数据分析
laser physics
sensing information
indoor comfort degree
big data analysis
