Yue Yuanguang, Yin Zhibiao, Li Shiming, Zhang Ziyue, Zhang Qifu
National Engineering Laboratory of Advanced Coating Technology for Metal Materials, Central Iron & Steel Research Institute, Beijing 100081, China.
ACS Omega. 2025 Aug 4;10(32):35462-35470. doi: 10.1021/acsomega.4c09172. eCollection 2025 Aug 19.
The precision of atmospheric probe data acquisition is vulnerable to temperature asynchrony, largely due to the fact that temperature fluctuations can alter sensor response times and measurement outcomes, resulting in asynchronous and biased data collection. To assess the performance of electrical resistance (ER) probes across different scenarios, we employed the ratio of the measured resistance to that of a reference sample as our evaluation metric. Through both theoretical analysis and targeted experiments simulating temperature deviations, we have shown that temperature perturbations can induce substantial variations in the resistance of the test material. More specifically, the discrepancy in the measured values due to temperature asynchrony escalates with the extent of the temperature fluctuation, whereas the impact of such asynchrony diminishes at higher temperatures. In practical settings, incorporating dual thermocouples within the probe for real-time data correction presents significant challenges. Consequently, this study proposes a method for postprocessing raw data, which involves detecting and substituting anomalous values, influenced by temperature, with the median value. This approach ensures that the processed data faithfully represent the typical variations and trends observed in the probe readings, effectively reducing the adverse effects of temperature asynchrony on the accuracy of data acquisition.
大气探测数据采集的精度容易受到温度异步性的影响，这主要是因为温度波动会改变传感器的响应时间和测量结果，导致数据采集出现异步和偏差。为了评估电阻（ER）探头在不同场景下的性能，我们采用测量电阻与参考样品电阻的比值作为评估指标。通过理论分析和模拟温度偏差的针对性实验，我们表明温度扰动会导致测试材料的电阻发生显著变化。更具体地说，由于温度异步性导致的测量值差异会随着温度波动程度的增加而增大，而这种异步性在较高温度下的影响会减小。在实际应用中，在探头内集成双热电偶进行实时数据校正存在重大挑战。因此，本研究提出了一种原始数据后处理方法，该方法包括检测并将受温度影响的异常值替换为中位数。这种方法确保处理后的数据忠实地反映探头读数中观察到的典型变化和趋势，有效降低温度异步性对数据采集准确性的不利影响。
