1、 Performance of the instrument itself

Accuracy and stability: The accuracy and stability of the instrument are key factors that directly affect the measurement results. High precision instruments can provide more accurate measurement results, while stability ensures consistent measurement performance during long-term use.

Sensor performance: Sensors are the core components in instrument measurement, and their performance directly affects the accuracy of measurement results. The accuracy, sensitivity, linearity, and other indicators of sensors directly affect the reliability of measurement data.

Calibration status: The instrument needs to be calibrated before use to ensure its measurement accuracy and precision. If the instrument is not calibrated for a long time or the calibration is inaccurate, the measurement results may be unreliable.

2、 Testing conditions and methods

Environmental conditions: Temperature, humidity, air pressure and other environmental factors may affect the measurement results of the instrument. For example, high temperatures may cause electronic components inside the instrument to expand, thereby affecting measurement accuracy; Changes in humidity may affect the stability of the circuit, leading to data bias.

Testing method: The selection and correctness of testing methods can also affect the measurement results. Different testing methods may be applicable to different measurement scenarios and sample types, so it is necessary to choose the appropriate testing method based on the actual situation.

Sample state: The state of the sample (such as temperature, humidity, pressure, etc.) may also affect the measurement results. For example, the density of liquid samples may vary at different temperatures, which can affect the accuracy of measurement results.

3、 Operator skills

Operating standards: The skill level and operating standards of operators have a significant impact on the accuracy of measurement results. Incorrect test parameter settings, incorrect connection methods, etc. can all lead to inaccurate measurement results.

Experience and Proficiency: The experience and proficiency of operators can also affect the accuracy of measurement results. Experienced operators can better understand the details of instrument usage, thereby reducing errors.

4、 Data transmission and processing

Data recording: Data recording is a crucial step in the measurement process. If errors occur during the recording process (such as pen errors, data loss, etc.), the final measurement results will inevitably be affected.

Data processing: The correctness and accuracy of data processing methods can also affect the reliability of measurement results. Different data processing methods and algorithms may produce different results, so it is necessary to choose the correct and suitable data processing method.