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多端口并行通信下多维度数据高速采集仿真

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在多端口并行采样过程中,不同输入通道之间存在失配造成的误差,导致数据采集不准确,且存在大量的冗余数据,增加了数据传输的负担。为了提高数据采集效率,提出一种超多端口通信中多维数据的高速采集方法。明确多维数据的采集理想值,分析多端口通信信噪比环境,选择通用接口保证通信兼容,稳定的模数转换器性能。为减少多端口并行采样的失配误差,利用时间交替并行采集策略,通过调试端口通信各类误差,降低通道信噪比。实时判断数据采集所需时间,重构数据采集误差函数,根据采集间距和模糊规则,调整有效距离,判断并删除冗余数据,实现多维度数据的高速采集。经实验证明研究方法能在保证数据完整性和精确度的前提下,实现高速采集,采集过程中受噪声影响小。
High-Speed Acquisition and Simulation of Multi-Dimensional Data under Multi-Port Parallel Communication
In the process of multi-port parallel sampling,the error caused by a mismatch among different input channels can lead to inaccurate data acquisition,and a large amount of redundant data also increases the burden of data transmission.To improve the efficiency of data acquisition,this paper proposed a high-speed acquisition method for multi-dimensional data in multi-port communication.Firstly,the ideal value of multi-dimensional data acquisition was determined.Then,the signal-to-noise ratio environment of multi-port communication was analyzed.At the same time,a general interface was selected to ensure communication compatibility and stable analog-to-digital converter performance.In order to reduce the mismatch error of multi-port parallel sampling,a time-interleaved parallel acqui-sition strategy was used to debug various errors of the port,thus reducing the signal-to-noise ratio of the channel.Based on real-time judgment of the time required for data acquisition,the data acquisition error function was recon-structed.According to the acquisition interval and fuzzy rules,the effective distance was adjusted.Finally,redundant data was determined and deleted.Thus,the high-speed acquisition of multi-dimensional data was achieved.Experi-ment results prove that the method can achieve high-speed acquisition while ensuring data integrity and accuracy.It is less affected by noise during the acquisition.

Multi-port communicationMulti-dimensional dataData collectionHigh-speed acquisitionFuzzy rules

林树青、叶丽珠

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广州商学院信息技术与工程学院,广东 广州 511363

马来西亚管理与科学大学,马来西亚雪兰莪州莎阿南市 40100

多端口通信 多维度数据 数据采集 高速采集 模糊规则

广东省本科高校教学质量与教学改革工程建设项目

2022SJJXGG992

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(6)
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