【摘要】 针对电厂实际运行中飞灰含碳量较低的问题，提出一种适用于低含碳量灰样的含碳量计算模型。为了提高S参数的测量精度，提出使用误差模型对S参数进行校准，并设计了相关实验，验证了模型的准确性。为了实现飞灰含碳量检测高精度、测量周期短、灵活性好等优点，使用射频器件和GNU Radio软件开发了飞灰含碳量检测系统，实现了灰样标定、S参数校准、灰位测量和含碳量测量等功能。为了验证系统测量精度，设计了相关对比实验。结果表明：通过对S参数进行误差模型校准，可以有效地提高测量精度。在此基础上，将实测灰位与灰位理论值进行比较，发现实测结果与理论值的偏差不超过5 mm。将实测含碳量与标准含碳量进行比较，结果显示两者之间的绝对误差不超过0.18百分点。更多还原

【Abstract】 To address the issue of low carbon content in fly ash during the actual operation of power plants, a calculation model for carbon content applicable to low-carbon-content ash samples was proposed. In order to enhance the measurement accuracy of S parameter, an error model was introduced for calibration, and relevant experiments were designed to validate the accuracy of this model. To achieve the benefits of high precision, short measurement cycles, and good flexibility in fly ash carbon content detection, a fly ash carbon detection system was developed using radio frequency devices and GNU Radio software, realizing functions such as ash sample calibration, S parameter calibration, ash level measurement, and carbon content measurement. To verify the measurement accuracy of the system, comparative experiments were designed. Results demonstrate that the calibration of S parameter through the error model can effectively improve measurement accuracy. Based on this, through the comparison between the measured ash level and the theoretical ash level value, it is revealed that the deviation between the measured result and the theoretical value does not exceed 5 mm. When comparing the measured carbon content with the standard carbon content, the results indicate that the absolute error between the two is no more than 0.18 percentage points.更多还原