Capacitive Online Corn Moisture Content Sensor Considering Porosity Distributions: Modeling, Design, and Experiments

An online corn moisture content measurement device would be a key technology for providing accurate feedback information industrial drying processes to enable the dynamic tracking and closed-loop control of process. To overcome problem large error caused by characteristics flow state pore distribution when parallel plate capacitor is applied process, in this study, we summarized constraint conditions sensor’s structure parameters mathematical modeling calculated optimal sensor design size. Moreover, influence porosity variation on was studied using designed sensor. In addition, model calculating obtained range 14.7% 26.4% w.b., temperature 5 °C 35 °C, 38.4% 44.6%. The results indicated that fluctuation value obviously reduced after compensation. absolute measured −0.62 0.67% average values 0.32% w.b. main provide theoretical basis technical support development intelligent grain–drying equipment.