Abstract: The evaluation of laboratory indicators often has differences in subjective cognition such as randomness and ambiguity. This paper studies on the uncertainty evaluation of laboratory based on cloud model by using the advantages of the cloud model of artificial intelligence with uncertainty in the conversion from quantitative denotation to qualitative concept. First, this paper selects the Evaluation Standards for Professional Laboratory of Colleges and Universities (Trial) as the evaluation index, and constructs index evaluation grade cloud model and weight grade cloud model. Second, the three-level index evaluation grade cloud model is obtained based on the calculation of the comprehensive cloud model. Then, based on the three-level index weight cloud model, multiplication and division cloud model operation rules, a comprehensive cloud model of the two-level evaluation index weight is generated. Accordingly, the final evaluation result is obtained by combining the two-level index weight cloud model, and the cloud map is generated by comparing that with the evaluation grade cloud model. The uncertainty evaluation result of laboratory based on cloud model is clear and in line with the actual evaluation, providing a certain reference for future laboratory evaluation.