Abstract: 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.