Zhang Yaqiu

Research of Intelligent Grain Moisture Content Measuring System Based on Virtual Instruments Technology

This paper presents the development of an intelligent grain moisture content measuring system based on SCM 8031. By adopting technologies of artificial neural network (ANN), virtual instrument (VI) and others, the system achieves digitization of the total moisture content measuring process (distributed measuring and centralized data processing) with characteristics of high precision and stability, friendly work interface, powerful data processing and low application cost, which overcomes some previous disadvantages such as serious nonlinear and poor interference resist.

The computer numerical simulation of corn vacuum drying heat and mass transfer process

Based on water potential theory and due to the first law of thermodynamics, vacuum drying heat and mass transfer characteristics of a single grain were analyzed, a mathematical model was built and. using analytic method for numerical solution of differential. The heat and mass transfer simulation system under vacuum dry conditions was obtained. This system operable, performance and reliable, which can input physical Parameters and drying conditions of initial material and simulate internal temperature, moisture, pressure, water potential distribution and average temperature and moisture directly, provide basis and reference for the improvement of grain drying quality and efficiency.

Grain Relativity Humidity Real-Time Prediction Based on Different Saturated Humidity Models in the Process of Storage

A mathematical model was selected and established based on the granary internal temperature and humidity real-time monitoring. In the experiment, the relative humidity of different water content corns were predicted by using different saturated vapor pressure formula and select the fittest model by comparing with the calculations and the test results. The humidity calculated by the saturated vapor pressure at formula 3 was closest to the actual measurement in them. Using the model it was possible to predict the evolution of grain relativity humility. During the experiment process, the calculation appeared the fluctuation because the internal humidity of grain was greatly influenced by the temperature and relativity humidity of the environment.