| 大数据时代计量校准理论与技术的发展展望 |
| The View of Development of Both Theory and Technology About Measurement and Calibration in Big Data Time |
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| 中文摘要: |
| 针对当代计量校准的两种需求进行了详细讨论。针对适合于各种严酷人工环境条件下的测量仪器设备与系统的现场计量校准需求，提出了大数据系统的理论技术发展方向，以线性或非线性系统模型进行系统建模，由单一环境条件变化合成多种环境条件变化，最终以系统理论方式解决多种因素严酷环境条件下的现场计量与校准问题的预测。针对数字化特征明显的数据域仪器设备的计量校准，提出了数据域计量校准理论、方法、技术的发展方向，以统计理论、信息理论、系统理论为基础，以频域、值域、逻辑域、变换域等理论与技术为手段，以模型参数等作为计量校准目标和结果。 |
| 英文摘要: |
| Two requirements of calibration are discussed in detail. To the calibration of both instrument and equipment in some asperity environment, the theory and technology development direction by using big data is put forward. Through linear or non-linear system model, many individual environment vectors are combined into one complex environment, and the calibration in multi-factor environment will be solved. To the calibration of the digital instrument, the theory and technology direction of data domain calibration is put forward, by using all of the statistic theory, the information theory and the system theory, in frequency domain, value domain, logic domain and transformation domain, and the model parameters will be the calibration results of the data domain instrumentation. |
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| 中文关键词: 计量学 计量 校准 发展 理论 现场校准 数据域校准 |
| 英文关键词:metrology measurement calibration development theory on line calibration data domain calibration |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2015.06.02 |
| 引用本文：梁志国.大数据时代计量校准理论与技术的发展展望[J].计测技术,2015,35(6):. |
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