Analysis and Estimation Method of Measurement Error of Water Quality Automatic On-line Monitoring Equipment

Abstract

The invention discloses a method for analyzing and estimating a measurement error of water quality automatic online monitoring equipment, which is based on data comparative statistics, performs pointed error estimation in a classified manner and can improve accuracy of an estimation result. The method comprises the following steps: firstly, eliminating gross errors in online monitoring data by adopting a robust method for eliminating abnormal data; then extracting a median from the online monitoring data after the gross errors are eliminated and judging whether the median is within a water quality sample mean value confidence interval or not; if not, determining that no system error exists and ending the process; otherwise, determining existing system errors and dividing the system errors into a periodic system error, a linear and multinomial type system error and a constant system error, and estimating by respectively adopting a Burg-method-based spectrum analysis and regression analysis combined method, a regression analysis method, and a mean filtering method and Kalman filtering combined method; finally, adding the estimation results of the three types of the system errors to obtain a final system error estimation result.

Description

technical field [0001] The invention relates to the field of monitoring data calibration, in particular to a method for analyzing and estimating errors in automatic on-line water quality monitoring data, which can be used in various types of automatic water quality monitoring instruments. Background technique [0002] The design and structure of online monitoring equipment is complex, and must be maintained and calibrated by professionals. At the same time, the accuracy of monitoring results is affected by many factors, such as inaccurate reagent concentration, pipeline pollution, and changes in measurement temperature, etc. will cause errors in the results. At present, monitoring equipment is widely used, but the accuracy of monitoring results has been questioned by many parties. Many experts and scholars have discussed the causes of errors, instrument maintenance, monitoring quality control methods, etc., trying to improve the accuracy of measurement results by standardizi...

AI Technical Summary

Problems solved by technology

Due to the complex design of water quality on-line monitoring instruments, no one has tried to use mathematical analysis methods to analyze the errors of on-line monitoring instruments

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