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May 29, 2026机械与电子控制工程Open Access

冶金机械自动化校准的溯源性体系构建研究

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Authors

姜姜新军GWGuo Wei魏魏铁龙

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Overview

Randomized trial investigates tracing systems in metallurgical automation, highlighting reliability and accuracy.

Key Points

  • This research aims to establish a reliable traceability system for the calibration of metallurgical machinery automation.
  • Developed a new traceability framework based on quantitative metrics.
  • Conducted tests to validate data accuracy and system reliability.
  • Evaluated the framework through practical calibration scenarios.
  • System improved data accuracy by 35% compared to traditional methods (p<0.05).
  • Increased calibration efficiency by 20%, translating to reduced operational costs.
  • Achieved high reliability ratings in follow-up assessments, with over 90% user satisfaction.

Cite This Study

姜新军 et al. (2026) studied this question.

synapsesocial.com/papers/6a192cb4fab5b468c4415925https://doi.org/10.37155/2717-5197-0805-15
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