传统滤膜称重法操作过程繁琐、检测周期长，且自动化程度低，虽精度高但无法满足粉尘质量浓度实时检测需求。设计了粉尘质量浓度自动检测装置，通过建立温湿度补偿模型，替代手工称重法中采样后滤膜烘干的步骤，进一步缩减粉尘质量浓度检测时间以及粉尘质量浓度检测装置体积。搭建试验样机并调试实验，结果表明，煤矿井下常用的CCZ-20A型粉尘采样器与本装置检测得到的粉尘质量折算浓度经过计算其标准偏差在5%以内，一元线性回归拟合分析下的实验数据拟合相关性较好。为进一步提升装置的检测精度，研究基于傅里叶级数、线性拟合以及周期拟合相结合的误差补偿方法，设计出装置浓度计算流程并代入原始数据中，将该装置检测浓度误差由原始的(−7.20%，−1.26%)集中至(−3.64%，3.65%)。引入装置浓度计算流程后进行多次对比实验，实验结果显示装置浓度检测误差均在此区间内，验证了装置浓度计算流程的可靠性。该装置缩短了粉尘质量浓度检测所需时间，同时检测误差控制在合理的范围内，进而为滤膜称重法在粉尘质量浓度在线监测方面的研究提供一定的参考。

The traditional filter weighing method has a cumbersome operation process, a long detection cycle, and a low degree of automation. Although it has high accuracy, it cannot meet the needs of real-time detection of dust concentration. An automatic dust mass concentration detection device was designed, and the temperature and humidity compensation model was established to replace the steps of filter membrane drying after sampling in the manual weighing method, so as to further reduce the dust concentration detection time and the volume of the dust concentration detection device. The prototype device was built and the experiment was conducted. The test results showed that the standard deviation of the CCZ-20A dust sampler commonly used in coal mines and the converted concentration of dust detected by this device was within 5%, and the fitting correlation of the experimental data under the univariate linear regression fitting analysis was good. In order to further improve the detection accuracy of the device, an error compensation method based on the combination of Fourier series, linear fitting and periodic fitting was studied, and the concentration calculation process of the device was established and brought into the original data, and the detection concentration error of the device was concentrated from the original (−7.20%, −1.26%) to (−3.64%, 3.65%). After the introduction of the device concentration calculation process, several comparative experiments were carried out, and the experimental results showed that the detection errors of the device concentration were within this range, which verified the reliability of the device concentration calculation process. The device shortens the time required for dust concentration detection, and at the same time controls the detection error within a reasonable range, which provides a reference for the research of filter membrane weighing method in the online monitoring of dust concentration.