Logistics Storage Monitoring Based on Photoelectric Sensor and Radio Frequency Identification
Warehousing management is an important part of logistics supply. With the continuous improvement of the level of information, "intelligent logistics" has become the latest trend in the development of logistics industry, in which monitoring warehouse is the core of "intelligent logistics." The Radio Frequency Identification (RFID) and wireless sensor network technology are combined to realize the real-time monitoring of the warehouse cargo information collection and the circulation link. Monitoring technology, including hardware architecture, uses CC2530 as the master control chip. The wireless sensor network is composed of a photoelectric sensor (BPW34S), cargo reading, and writing uses VT-547N type RFID reader. It is used to design the cargo tag reader module, cargo delivery module, and collection modules. In addition, the corresponding software design of these modules is carried out. In the meanwhile, the utilization of the warehouse monitoring perception information is studied, and an improved information fusion algorithm based on Radial basis function (RBF) neural network is proposed. The designed hardware module and software are simulated to classify and test the information fusion algorithm. The results show that the accuracy of cargo identification is high, and the classification effect is good.
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Document Type: Research Article
Publication date: July 1, 2018
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- Journal of Nanoelectronics and Optoelectronics (JNO) is an international and cross-disciplinary peer reviewed journal to consolidate emerging experimental and theoretical research activities in the areas of nanoscale electronic and optoelectronic materials and devices into a single and unique reference source. JNO aims to facilitate the dissemination of interdisciplinary research results in the inter-related and converging fields of nanoelectronics and optoelectronics.
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