Evidence map›Paper›PMID 41753895›Full record

ArticleMicromachines2026

Real-Time Data Acquisition System for Array MIMU Based on FPGA+ARM.

Xiaoyang Qin, Huan Wang, Zhihua Dai, Yonghua Wang, Junqing Zhang, Tao Guo, Huiliang Cao

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoyang QinState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Huan WangState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Zhihua DaiQuanzhou Yunjian Measurement Control and Perception Technology Innovation Research Institute, Quanzhou 362000, China.
Yonghua WangSchool of Civil Engineering, Tangshan University, Tangshan 063000, China.
Junqing ZhangTangshan Zhongyu Technology Development Co., Ltd., Tangshan 063000, China.
Tao GuoState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Huiliang CaoSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.

Funding

Higher Education Institution Science and Technology Research Project of Hebei CXY2024048Science and Technology Innovation Key R&D Program of Chongqing under Grant CSTB2025TIAD-STX0016the National Key Research and Development Program of China under Grant 2022YFB3205000the National Natural Science Foundation of China under Grant 52475586the National Natural Science Foundation of China under Grant U2230206
6 · The paper itself

Abstract

To address the issue of low accuracy and stability in the gyroscope components of the micro-inertial-measurement-unit (MIMU) core units, which limits their application in high-precision scenarios, this paper designs a real-time data acquisition system for array MIMU based on FPGA and ARM. This system establishes a complete data chain encompassing raw data acquisition, real-time processing, multi-source information fusion, data storage, and communication with a host computer. It has been successfully applied to a 100-m pipeline position coordinate measurement scenario. The paper begins by discussing the overall system design, including both hardware circuit and software code development. Attitude update algorithms and measurement accuracy evaluation metrics are also introduced. System functionality is validated through static tests and practical pipeline measurements. Experimental results demonstrate that the system improves the accuracy of a single micro-electro-mechanical system (MEMS) gyroscope by a factor of 7.4 to 7.7. It also enables precise calculation of the pipeline position coordinates over the 100 m distance, achieving a horizontal positioning error of less than 0.0774 m and an elevation positioning error of less than 0.0351 m. These results fully confirm the significant effectiveness of the array design in mitigating gyroscope random errors, providing a reliable technical solution for pipeline measurement.

Indexed as

ARMarray-basedFPGAMIMUreal-timeSPI protocol

Identifiers

PMID41753895
PMCPMC12943352

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.