The invention provides a visual time sequence mode matching method based on Hough transform, and relates to the technical field of data visual analysis. The method comprises the following steps: firstly, judging whether to-be-matched historical data is single-dimensional time sequence data or multi-dimensional time sequence data, and if so, performing normalization processing on the multi-dimensional data; making time sequence selections of adopting a time window mode to select a section of to-be-matched time sequence from historical data and removing the selected time sequence from historicaldata, then, converting the time sequence graph in an original coordinate into a Hough space by using Hough transform, judging the similarity matching condition of the time sequence by using a votingmechanism, and finally screening out a final matching result according to a voting result. The visual time sequence mode matching method based on Hough transform provided by the invention is easy to implement, simple, effective and high in algorithm operation efficiency, can be applied to the field of industrial real-time data visualization, and is used for realizing visual basic functions such assearch of similar time sequences and the like.