Optimization of QR code readability in movement state using response surface methodology for implementing continuous chain traceability
Optimization of QR code readability in movement state using response surface methodology for implementing continuous chain traceability
复制标题
利用响应面法优化运动状态下的二维码可读性,实现连续链追溯
DOI:
10.1016/j.compag.2017.05.009
复制
发表时间:
2017-06
影响因子:
8.3
通讯作者:
Yang Xinting
中科院分区:
文献类型:
--
作者:
Qian Jianping;Du Xiaowei;Zhang Baoyan;Fan Beilei;Yang Xinting
Logistics and storage is the main processing for agro-food supply chain. Because of disconnection information between the two processing, it is difficult to trace continuously. An intelligent conveyer belt provides an effective method to associate storage and logistics by QR code scanning and information recording. Improving the QR code readability in movement state is the core of implementing continuous chain traceability with this belt. In this paper, a intelligent conveyer belt including automatic conveyer unit, barcode scanning unit, fault remove unit and control display unit was designed. Four factors affected QR readability were selected and the value range was confirmed, which was reading distance, code size, coded characters and belt moving speed. Based on the belt, an Central Composite Inscribed (CCI) experiment of four factors with five levels was designed using Response Surface Methodology (RSM) to obtain the optimal reading parameters. The result shows that the main factors of reading distance, belt moving speed and the interaction between reading distance and code size have the significant effect on QR code readability. Under the optimization condition of 141.45 mm reading distance, 34.58 mm code size, 100 bytes coded characters and 2.98 m/min belt moving speed, the average value of QR code readability was 95%. With the optimization parameters, the intelligent conveyer belt was used in an apple marketing enterprise. The result shows that the continuous traceability between storage and logistic can be implemented with the extended breadth, deepened depth and improved precision.
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DOI:
10.1016/j.lwt.2015.04.026
发表时间:
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期刊:
Lwt - Food Science and Technology
影响因子:
--
作者:
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DOI:
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期刊:
Comput. Electron. Agric.
影响因子:
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影响因子:
8.3
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