关键词: 牡蛎, 重量分级, GA-BP算法, 动态称重, 控制系统

Abstract: In order to improve the oyster automatic processing level, an oyster weight grading control system based on STM32 microcontroller was designed in this paper. The control system was comprised with varieties of functional modules, such as data acquisition module, grading control module, driver module and humancomputer interaction module. Oyster weight was used as the grading standard, while the weight and position information of the weighing tray acted as the primary control conditions. The dynamic weighing model of genetic algorithm optimizing neural network (GA-BP) and dynamic tracking and positioning method were adopted to accurately obtain oyster weight and weighing tray position, and humancomputer interaction was carried out by using touch screen, which could realize weighing and grading integration. The test results showed that the maximum weighing error of the control system was 0.8 g, and the grading accuracy reached 95% under the maximum operation speed, which could better realize the rapid weighing and grading of oysters.

Key words: oyster, weight grading, GA-BP algorithm, dynamic weighing, control system