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Development of Peanut Moldy Odour Information Acquisition System based on MOS Gas Sensor Array

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2021 ASABE Annual International Virtual Meeting  2100338.(doi:10.13031/aim.202100338)
Authors:   Shuo Zhang, Kefei Yang, Shaoyun Han, Kai Wu, Qinming Sun, Xin Gao, Xiuying Tang
Keywords:   MOS Gas Sensor Array, Peanut Moldy Odour, Hardware Platform, Control Software

Abstract. Peanut has high edible value, but it is easily contaminated by moulds. At present, the detection methods of moulds have many defects, such as easy misjudgment by artificial senses, complicated operation and expensive price of traditional methods, which could not meet and adapt to the basic requirements of modern detection technology. Based on the theoretical knowledge of electronic nose technology, a set of information collection system for peanut moldy odour was developed in this article. The main contents include: (1) The hardware platform of portable peanut mildew detection system was designed and built. According to the gas composition of moldy peanut, eight specific MOS gas sensors were selected to form the core array of the detection device. The control and data processing module were designed to control each component and process the odour information data. The odour cleaning module was designed to quickly remove the residual odour. A simple and beautiful portable case was designed, and the general assembly and wiring layout were carried out inside the hardware device. (2) The control software of peanut mildew detection system was designed and developed in this article. Based on Windows system, the operation interface of upper computer software was designed by VC++6.0 and the basic functions were developed. Device control, data acquisition and data post-processing functions can be realized on the operation interface. In the process of detection operation, a prompt dialog box is designed to avoid operation error while allowing users to fully experience human-computer interaction.

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