Title :
Research of Intelligent Grain Moisture Content Measuring System Based on Virtual Instruments Technology
Author :
Yaqiu, Zhang ; Wenfu, Wu ; Junxing, Li ; Guanghua, Wu
Author_Institution :
Coll. of Biol. & Agric. Eng., Jilin Univ., Changchun, China
Abstract :
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.
Keywords :
agricultural products; moisture measurement; neural nets; production engineering computing; virtual instrumentation; ANN; SCM 8031; VI; artificial neural network; centralized data processing; distributed measurement; friendly-work interface; intelligent grain moisture content measuring system; virtual instrument technology; Artificial neural networks; Instruments; Interference; Moisture; Moisture measurement; Temperature measurement; Temperature sensors; Artificial Neural Network; Grain; Moisture Content Measurement; Virtual Instrument;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.551
