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目的:针对现有材料试验机校准过程中存在效率低下、无法同步记录、结果不易追溯等问题，本研究设计了一种具有较高适用性的智能校准系统。方法:通过集成图像与自动数据采集技术，构建了包含智能单元、图像采集模块、报告管理系统的校准平台。智能单元与标准器具显示装置相连，实时获取标准数据；图像采集模块根据指令同步获取试验机显示装置图像，并基于图像识别技术自动提取试验机示值。所有采集数据自动存储为电子原始记录，并上传至云端报告管理系统，生成校准报告。结果:与传统人工校准方式相比，该系统能够将校准效率提升两倍以上，同时大幅降低数据采集的离散度、减小示值误差，有效提升了数据的准确性与一致性。结论:本研究开发的智能校准系统不仅显著提高了材料试验机校准的自动化水平和工作效率，也为相关检测设备的智能化校准提供了可行的技术路径与实践参考。
Abstract：Aims: An intelligent calibration system with high applicability was proposed to address issues such as low calibration efficiency, the inability to synchronize records, and difficulties in data tracing of existing material testing machines. Methods: The intelligent unit was connected to the standard instrument display to capture real-time data; while the image acquisition module collected the testing machine's display images as instructed. The intelligent unit used image recognition technology to obtain the readings of the testing machine and automatically generated electronic original records which were uploaded to the cloud-based report management system for calibration report generation. Results: Compared to traditional manual calibration methods, the application of this system resulted in a twofold improvement and more in calibration efficiency, a significant reduction in data acquisition dispersion, and a widespread decrease in indication errors. Conclusions: The calibration system reduces errors caused by asynchronous human readings through automated data acquisition and processing mechanisms. While improving data accuracy, it also enhances work efficiency, providing a feasible technical path and practical reference for intelligent calibration of material testing machines.
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基本信息:
中图分类号:TH87
引用信息:
[1]刘光学,郭树恒,李洋洋.材料试验机智能校准系统设计[J].中国计量大学学报,2025,36(04):535-540.
2025-12-15
2025-12-15