摘要
伴随着时代的进步与经济水平的提高,人们对于室内家居空间装修的质量与效果越来越关注,在室内装饰中所使用的各种各样的材料随之开始增多,但随之而来的甲醛问题也慢慢地暴露在了人们的视野之中,从而使大众开始逐渐对于室内生活环境的甲醛治理问题的也越来越重视,本文根据现在已有的甲醛检测方法来进行探究,并提出了一套智能的甲醛检测数据,以期望能够开发一套基于深度学习算法的室内甲醛检测设备,通过对人们日常生活的空间进行一个检测与观察,来得到家居空间中的甲醛实际数据,从而对甲醛的治理起到一定的协助作用,并对以后相关方向的研究起到一定的借鉴作用。
With the progress of the times and the improvement of economic level,people pay more and more attention to the quality and effect of interior decoration,and various materials used in interior decoration begin to increase,but the following formaldehyde problems are slowly exposed to people's vision,which makes the public pay more and more attention to the formaldehyde treatment of indoor living environment.This paper explores the existing formaldehyde detection methods.And put forward a set of intelligent formaldehyde detection data,hoping to develop a set of indoor formaldehyde detection equipment based on deep learning algorithm,and get the actual data of formaldehyde in the household space by detecting and observing people's daily living space,thus playing a certain role in assisting the treatment of formaldehyde,and playing a certain reference role for future research in related directions.
作者
冯帅
剧闯
李莹
刘林
FENG Shuai;JU Chuang;LI Ying;LIU Lin(Guilin University of Electronic Technology,Guilin Guangxi 541000)
出处
《数字技术与应用》
2021年第1期166-168,共3页
Digital Technology & Application
基金
2020年广西自治区级大学生创新训练立项项目“基于深度学习算法的室内甲醛检测设备”研究成果(202010595188)。
关键词
室内装饰
甲醛
深度学习算法
检测设备
Interior decoration
Formaldehyde
Deep learning algorithm
Testing equipment
作者简介
冯帅(1997—),男,河北邢台人,本科,研究方向:产品设计、工业设计;通讯作者:刘林(1977—),女,广西桂平人,硕士研究生,讲师,研究方向:室内设计。
