The invention relates to a digital workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation, and belongs to the field of intelligent manufacturing. Themethod comprises the following steps: establishing an evaluation group, and establishing an SHEL model of digital workshop human factor analysis; applying a weighting operator to obtain subjective and objective weight vector tables of risk factors; calculating an interval intuitionistic fuzzy risk evaluation data set of the digital workshop human factor failure mode; constructing a weight key interval intuitionistic fuzzy positive ideal and an interval intuitionistic fuzzy negative ideal of the digital workshop human factor failure mode; respectively calculating the distance between the interval intuitionistic fuzzy positive ideal and the interval negative ideal, and calculating the relative fitting progress of each failure mode and the interval intuitionistic fuzzy positive ideal; and assessing and evaluating the human factor reliability level of the digital workshop by combining the quantitative indexes of the human factor failure mode risks. According to the method, the capabilityof processing uncertain information of the intuitionistic fuzzy set is improved, the human error fault of the digital workshop can be evaluated more accurately, and the method has a good application prospect.