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拖拉机多源作业载荷边缘解算专用FPGA平台设计

郭军衔 王龙龙 孙瑞 何志祝 翟志强 李臻

中国农业科技导报2025,Vol.27Issue(12):94-107,14.
中国农业科技导报2025,Vol.27Issue(12):94-107,14.DOI:10.13304/j.nykjdb.2025.0940

拖拉机多源作业载荷边缘解算专用FPGA平台设计

Design of A Dedicated FPGA Platform for Edge Computing of Multi-source Operational Loads in Tractor

郭军衔 1王龙龙 1孙瑞 1何志祝 1翟志强 1李臻1

作者信息

  • 1. 中国农业大学工学院,北京 100083
  • 折叠

摘要

Abstract

To acquire load data under high-load operations such as subsoiling,a multi-source load testing and edge-solving system based on a system on chip(SoC)field-programmable gate array(FPGA)was proposed.The system integrated chassis strain,three-point hitch draft force,driveline torque,vibration acceleration,controller area network(CAN)bus signals,and real-time kinematic global navigation satellite system(RTK-GNSS)position information into a unified platform.To balance accuracy and resource efficiency,online preprocessing such as multi-channel synchronous analog-to-digital converter(ADC)sampling,timestamp insertion,and digital filtering were implemented on the programmable logic(PL)side,while protocol parsing,data management,and tire vertical load inversion were executed on the processing system(PS)side as edge-computing tasks.Field subsoiling tests with a 200-hp wheeled tractor showed that the system operated stably and continuously;FPGA-side preprocessing achieved significantly higher time-efficiency than the onboard central processing unit(CPU),and good synchronization across multi-source data was maintained.The tire vertical loads estimated by the inversion model agreed well with the actual operating conditions.The proposed system provided an integrated test platform to support tractor load spectrum development and durability research on key components.

关键词

拖拉机/载荷谱测试/多源传感器/边缘计算/FPGA平台

Key words

tractor/load spectrum testing/multi-source sensors/edge computing/FPGA platform

分类

信息技术与安全科学

引用本文复制引用

郭军衔,王龙龙,孙瑞,何志祝,翟志强,李臻..拖拉机多源作业载荷边缘解算专用FPGA平台设计[J].中国农业科技导报,2025,27(12):94-107,14.

基金项目

国家重点研发计划项目(2022YFD2000300) (2022YFD2000300)

拼多多-中国农业大学研究基金项目(PC2023B01005). (PC2023B01005)

中国农业科技导报

OA北大核心

1008-0864

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