Water quality testing is to ensure the safety of water resources! However, in the process of water quality testing, the result of water quality testing is seriously disturbed due to the influence of some factors. This is a headache! In addition, some staff subjective errors and no sense of responsibility will also cause data biases in the measurement process. The following water quality online monitoring instrument manufacturers to understand the data processing problems in the water quality testing process.
Related Processing of Measured Data
We know that water quality testing can be affected by different aspects such as water sample collection and transportation. In this case, the only way to be able to handle measured data is to work carefully. Precautions are as follows:
1.In the process of calculation and analysis, it is necessary to combine relevant work experience to arrange personnel to use double-blind method to read, check, etc., and query the error;
2.Empirical method, water sample analysis is heavy, a local environmental protection agency is responsible for the area of sewage generation point is relatively fixed, water quality composition is relatively stable, once found changes will indicate possible pollution events;
3.Standardized reading of data is helpful to improve the accuracy of data. For example, when reading dropper data, the line of sight is required. If these skills are not in place, it will directly affect the detection results.
How to Deal With Direct Detection Errors?
Direct data refers to the data that is read directly from the analyzer, and there are two ways to process it:
1.Individual measurement errors related to detection error processing and analysis
In the process of sewage detection, due to the constraints of relevant technical conditions and instrument factors, it is difficult to accurately measure the data, and at this time, cyclic detection is a good way. Take the average value of several test data, and then modify it according to the actual situation. In the process of processing, the result of small error as long as the data in the instrument is properly calculated, and the error is relatively large, the data should be 1/2 of the small scale on the instrument as a single measurement rated error value.
2.Water quality testing error data processing and analysis of repeated measurement errors
During the analysis of this measurement, in order to ensure the accuracy of the data, the staff will repeat the inspection and calculation, using the arithmetic average approximation of these measurements to replace the true value of the water quality measurement.
Indirect Measurement Error Handling Problem
Indirect processing is actually implemented by calculating the results of the data!
Under normal circumstances, in the process of wastewater water quality detection, the indirect measurement error is not only related to the direct measurement uncertainty, but also has a certain relationship with the form of the formula, and the indirect measurement error pays attention to the error obtained by examining the same water quality in different error situations.
Processing of Abnormal Error Data
In the process of wastewater quality monitoring, the error of a group of experimental measurement data will be within a certain range. If there is a large difference between one or more data and other data, it indicates that there is a difference in the data. At this time, it is necessary to take certain measures, adopt a feasible standard, and choose abnormal data, so as to ensure the accuracy of wastewater water quality detection!
