[Objective]To explore the effect of disturbance gaps on the detection accuracy of capacitive rice moisture sensors.[Method]A rice capacitance analysis model was developed and validated using the Ansoft Maxwell electrostatic field analysis module.Simulation experiments were conducted on parallel,coaxial,and planar capacitive rice moisture sensors based on the model.[Result]Within the moisture content range of 11.39%to 30.30%,the apparent dielectric constant of rice grains increased with moisture content,with an average variation ranging from 5.74 to 41.13.The relative error of the rice capacitance analysis model was less than 5%,the model's effectiveness was confirmed.Sim-ulation experiments revealed that larger disturbance gaps lead to greater moisture detection errors.With the same disturbance gap,higher mois-ture content resulted in higher detection errors.Disturbance gaps located in different positions affected detection differently,with areas of dense electric field lines in capacitors exhibiting larger errors;moreover,simulation experiments identified patterns in the distribution of average de-tection tolerances across three types of capacitive rice moisture sensors,indicating that parallel plate sensors were least affected by disturbance gaps,followed by coaxial plates,and planar plates were most affected.[Conclusion]The research results have reference significance for opti-mizing the design of capacitive grain moisture sensors,reducing detection errors due to disturbance gaps and enhancing both accuracy and reli-ability.
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