Yan Zhang, Yanhong Jiao, Jun Li, Long Deng, Binqi Rao, Hao Xu, Peng Xu, Lijiang Hu, Chunping Li
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引用次数: 0
摘要
市政污泥的含水率（MC）是影响污泥处理和处置技术的关键因素，而现有的测量方法绝大多数都是离线测量，耗时较长。为了实现污泥含水率的快速在线检测，本文提出了一种基于微波反射原理的检测方法：通过实验，利用共振频率和介电常数（(\(\varepsilon^{\prime}\)）推导出污泥的含水率计算模型。结果表明，厚度为 10 毫米的颗粒状污泥的检测精度更高。建立了 MC 与 \(\varepsilon^{prime}\)实部之间的理论模型，并用三次多项式表示了共振频率与 \(\varepsilon^{prime}\)之间的关系。污泥的平均误差和均方根误差（RMSE）分别为 2.06% 和 2.49%。同时给出了污泥 MC 的预测模型，其判定系数和均方根误差分别为 0.981% 和 2.06%。
Rapid and real-time detection of municipal sludge moisture content based on microwave reflection principle
The moisture content (MC) of municipal sludge is the key factor affecting sludge treatment and disposal technologies, while the vast majority of existing measurement methods are off-line and time-consuming. To realize rapid online detection for the MC of sludge, a detection method based on the microwave reflection principle is proposed: experiments are carried out and the MC computation model of the sludge is derived using the resonant frequency and the permittivity (\(\varepsilon^{\prime}\)). The results reveal that the detection accuracy of granular sludge with a thickness of 10 mm is higher. The theoretical model between the MC and the real part of \(\varepsilon^{\prime}\) is developed, and the relationship between the resonant frequency and \(\varepsilon^{\prime}\) is expressed by a cubic polynomial. The average error and the root mean square error (RMSE) of sludge are 2.06% and 2.49%, respectively. The prediction model for the MC of sludge is also given, and the determination coefficient and RMSE are 0.981 and 2.06%, respectively.
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