激光雷达在室内环境舒适度检测中的应用

Indoor environment comfort detection based on lidar data

针对传统室内环境舒适度检测方法的检测精度低问题，提出基于激光雷达数据的室内环境舒适度检测方法，首先采集室内环境中各位置的激光雷达环境特征数据，然后将环境特征数据中的室内温度、相对湿度、CO2浓度、光照强度、噪声当成模型的输入变量，室内环境舒适度为输出变量，建立室内环境舒适度检测模型，最后采用具体实验对室内环境舒适度检测效果进行分析。实验结果表明，该方法提高了室内环境舒适度的准确精度。

For the low accuracy of the traditional method to detect indoor environment comfort, a novel method based on lidar data is proposed. First, the feature data of indoor liaar environment is acquired. Then, set the in- door temperature, relative humidity, CO2 density, lighting intensity and noise as the imput variables of the mod- el. The indoor comfort is output variable. The detection model of indoor environment comfort is established. Fi- nally, analyze the effects through concrete experiments. The results indicate that this method improves the detec- tion precision.