The difference between detection error, accuracy, and uncertainty

Detection error refers to the difference between the detection result and the measured true value, which is the difference between the detection result and the measured true value. The so-called true value refers to the true size of a quantity itself when detecting it. The true value of a quantity is an ideal concept that is generally unknown. For the sake of practical use, the value measured by a higher level of accuracy standard in actual detection is called the actual value, and the actual value is often used instead of the true value. In certain specific cases, the true value is also known, such as the circumference angle of a whole circle being 360 °, the sum of the three inner angles of a triangle being 180 °, and according to the defined value of the international kilogram standard, the true value can be considered as 1kg.

Detection accuracy refers to the degree of consistency between the detection results and the true value being detected. Due to the inability to determine the exact size of the true value in many cases, accuracy is defined as the degree of closeness between the detection result and the detected true value. It is a qualitative concept that cannot be operated on as a quantity, meaning that it can be said to have high or low accuracy, an accuracy level of 3, and an accuracy level that meets the XX standard. It refers to meeting the technical indicators or specifications of a certain level or level.

Detection uncertainty refers to the parameter that characterizes the dispersion of values reasonably assigned to the test and is associated with the test results. It represents the dispersion of the detected value, representing an interval, which is the possible distribution range of the detected value. According to its acquisition method, it is divided into two types of evaluation components: A and B. The A type of evaluation component is an uncertainty evaluation made through observation and statistical analysis, while the B type of evaluation component is estimated based on experience or insight, assuming the existence of an approximate standard deviation represented by the uncertainty component.

The difference between the three

By understanding the definitions of the three, it can be seen that there are several differences in detection error, detection accuracy, and detection uncertainty.

The influencing factors of the three are different

Detection errors objectively exist, are not affected by external factors, and do not change with human understanding. Any detection has its imperfections, so errors can occur at any time; The uncertainty of detection is obtained through analysis and evaluation by people, and is therefore related to people's understanding of the detected, affected quantity, and detection process; Detection accuracy refers to the level of accuracy of the instruments used in the detection process, which is related to the level of accuracy. The higher the accuracy level, the better its accuracy, and the closer the measured results are to the true value.

The purpose of the three evaluations is different

The detection error is the difference between the detection result and the true value, which indicates the degree to which the detection result deviates from the true value. It is a quantitative concept, and the specific deviation is how much; Detection accuracy refers to the degree of consistency between the detection results and the true values being detected. It is a qualitative concept that indicates whether the measured results are within the standard requirements; Detection uncertainty is an estimate of the dispersion that affects the generation of errors, indicating the dispersion of the detected value and indicating that the detected result is within a certain range.