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To overcome the disadvantages of poor applicability and high detection error rate of traditional toxic gas detection system, the design of PID toxic gas detection system based on outlier fuzzy kernel clustering algorithm is proposed. In the hardware design of the system, STM32F2X MCU with stronger performance is selected, and the function modules specially used for toxic gas category analysis are designed. In the design of software algorithm and main control program, outlier fuzzy kernel clustering algorithm is used to improve the clustering analysis ability of toxic gas data, so as to improve the accuracy of toxic gas detection. The experimental results show that the proposed PID toxic gas detection system can identify a variety of natural and chemical toxic gases, and the detection error of toxic gas concentration can be controlled within 2%.