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作 者:王爱军[1] 赵卓英[1] 张川[1] 程绍华[1] WANG Aijun;ZHAO Zhuoying;ZHANG Chuan;CHENG Shaohua(National Center of Ocean Standards and Metrology,Tianjin 300112,China)
出 处:《海洋开发与管理》2022年第12期115-120,共6页Ocean Development and Management
基 金:完善海洋仪器计量检测技术能力项目(22-01-03-08A)。
摘 要:海洋环境参数监测传感器的性能是海洋环境监测参数数据质量的保障。文章以常用的海水温度、电导率、浊度和叶绿素传感器为评估对象,利用同一台仪器连续多年的校准数据实现传感器的稳定性评价。当漂移系数在1附近时,表明传感器性能稳定,当漂移系数大于或小于1时,表明传感器测量值发生漂移;由历年校准数据计算的漂移系数可实现各传感器校准周期内数据的修正,修正前各传感器的测量误差大且呈单向增量变化,修正后的误差降至传感器最大允许误差且呈正态分布。利用历史计量数据建立的传感器性能评价模型可为用户提供长期的传感器稳定性评价,有利于提升海洋环境监测传感器的性能和数据的准确性,拓展计量数据的服务能力。The performance of marine environment parameter monitoring sensor is the guarantee of the quality of marine environment parameter data. This paper used the sensors of seawater temperature, conductivity, turbidity and chlorophyll as evaluation targets.The historical calibration data of the same instrument was used to evaluate the stability of the sensors. When the drift coefficient was near 1, the sensor was stability, and the drift coefficient was more or less than 1, the sensor data was drifted. The drift coefficient could be used to correct the historical data of each sensor in the calibration period. Before the correction, the error of each sensor was large and presents a one-way incremental change;the corrected error was reduced to the maximum error of the sensor and had a normal distribution. The sensor performance evaluation model based on historical calibration data could provide long-term sensor stability evaluation for users, which was beneficial to improve the performance and data accuracy of marine environmental monitoring sensors, expand the service capacity of measurement data.
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