In the paper，An indoor pollution gas sensing and evaluation system based on Stacking integrated learning is designed. Users can use mobile phone APP scan the QR code of the detection terminal to view the real-time data and evaluation results of the current environmental pollution gas. By using Stacking, the system integrates evaluation algorithm with classification algorithm to solve the problem of strong subjectivity of evaluation algorithm. Firstly, fuzzy mathematics comprehensive evaluation method, decision tree and KNN are selected as the basic models for training, and then the output results of the three basic models are taken as eigenvalues, and the logical regression is used as the meta-model to integrate the three basic models heterogeneously. This method can improve the accuracy and objectivity of the evaluation results while ensuring the real-time performance of the system.