自动化仪表数据漂移校准技术研究

Analysis of Data Drift Calibration Technology for Automation Instruments

为解决自动化仪表在实际应用中因数据漂移导致的测量不准确问题,文章采用了基于小波变换的数据分析方法,通过构建特定的数据采集与处理流程,实现了现场自动化流量仪表的数据校准工作。在此过程中,运用随机数生成模拟现场条件,对载荷传感器、温压一体传感器、流量计和压力传感器4种主要仪表进行了在线校准试验,并将结果汇总分析。研究结果表明,所采用的校准方法能显著提高仪表数据的准确性,且自动响应速度快,校准时间控制在5 min以内。通过对实际场景下的仪表进行连续20次数据漂移校准试验,不仅证实了模型具备高效识别仪表故障的能力,而且展现了在保证数据准确性的同时实现快速自动校准的技术可行性。得出结论,即基于小波变换的自动化流量仪表数据漂移校准技术具有高效、准确的校准性能,能够为自动化测量系统提供强有力的数据支持,从而确保系统的长期稳定性和可靠性。

In order to solve the problem of measurement inaccuracy caused by data drift in practical applications of automation instruments,this study adopted a data analysis method based on wavelet transform.By constructing a specific data acquisition and processing process,the data calibration work of on-site automation flow instruments was implemented.During this process,random number generation was used to simulate on-site conditions,and online calibration tests were conducted on four main instruments:load sensors,temperature and pressure integrated sensors,flow meters,and pressure sensors.The results were summarized and analyzed.The research results indicate that the calibration method used can significantly improve the accuracy of instrument data,with fast automatic response speed and calibration time controlled within 5 minutes.By conducting 20 consecutive data drift calibration tests on instruments in actual scenarios,this study not only confirms the model's ability to efficiently identify instrument faults,but also demonstrates the technical feasibility of achieving rapid automatic calibration while ensuring data accuracy.Therefore,the conclusion drawn from this study is that the automatic flow meter data drift calibration technology based on wavelet transform has efficient and accurate calibration performance,which can provide strong data support for automated measurement systems,thereby ensuring the long-term stability and reliability of the system.