Design of Artificial Intelligence Wireless Data Acquisition Platform Based on Embedded Operating System

Zhang, A-Mei

doi:10.1007/978-3-030-77417-2_25

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…It can obtain object information and preprocesses it, and transmits it to the host computer for user use. Zhang [10] proposed an artificial intelligence wireless data collection platform based on embedded operating systems which realized wireless data collection and USB interface transmission. In addition, Zhang [11] proposed a mobile data collection algorithm based on clustering Dubins smooth curves and used WSN to divide multiple non-overlapping clustering intervals.…”

Section: Introductionmentioning

confidence: 99%

Research on Data Collection Methods for Assembly Performance of Array Antennas in Digital Twin Workshops

Guo,

Liu,

Wang

et al. 2023

Processes

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Aimed at the characteristics of multi-source heterogeneity and the rapid generation of data in digital twin workshops, as well as the current situation where communication protocols between equipment within the workshop vary greatly and are difficult to interconnect, a data integration method based on OPC UA is designed. Firstly, combining the process flow and data source characteristics of array antenna assembly, a data collection and transmission scheme based on OPC UA was designed. Secondly, a process information model of array antenna assembly was established to realize data perception and transmission and solve the difficulties of complex data structure, high real-time requirements, and heterogeneous data in digital twin workshop. Finally, the proposed method and model were applied to the performance prediction platform for an array antenna assembly process based on digital twins, achieving perception of process data during the assembly process of array antennas, and achieving performance prediction and visualization for various stages of array antennas based on assembly process data.

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Section: Introductionmentioning

confidence: 99%