Method and device for detecting performance index data of surface pollution detection equipment

Abstract

The embodiment of the invention provides a surface pollution detection equipment performance index data detection method and device, electronic equipment and a storage medium, the detection method comprises the steps that a standard source library containing standard source information is configured, and the standard source information is calculated according to source information, a calibration date and a source area; acquiring data required by detection, wherein the data comprises the effective detection area of the equipment, standard source information and equipment indicating values (alpha, beta surface activity and alpha, beta counting rate); calculating relative inherent error, detection efficiency and channel crossing rate according to the data; summarizing the relative inherent error, the detection efficiency and the channel crossing rate, outputting a test report and obtaining a summarized conclusion; equipment indicating values are automatically recorded, relative inherent errors, detection efficiency and channel crossing rate are calculated, a qualified conclusion is given, a test conclusion is calculated in real time after data acquisition is finished, the test conclusion is given in the first time, the technical threshold of testers is reduced, test data processing efficiency is greatly improved, and the test progress is not affected.

Description

technical field [0001] The present invention relates to the technical field of detection software tools, in particular to a method, device, electronic device and storage medium for detecting performance index data of surface pollution detection equipment. Background technique [0002] When testing surface pollution testing equipment, it is mainly to test the relative inherent error of the α and β surface activity of the equipment, detection efficiency, and cross-talk rate; when testing, generally use multiple standard sources to test the equipment separately. The testers read and record the indicated values ​​of the equipment, and compare them with the true values ​​of each standard source to calculate the relative inherent error, detection efficiency, and crosstalk rate. [0003] In the prior art, the common practice is to put the equipment in the laboratory to test the equipment. The laboratory generally uses some standard α and β radioactive sources known in its source li...

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Problems solved by technology

[0003] In the prior art, the common practice is to put the equipment in the laboratory to test the equipment. The laboratory generally uses some standard α and β radioactive sources known in its source library for testing, but the original calibration information of the radioactive source is different from that of The indication values ​​of the equipment (α, β surface activity) have different meanings, and the true value corresponding to the equipment during the test needs to be calculated through calculation, because its calculation formula is relatively professional, and it is generally calculated by laboratory personnel or people with professional backgrounds. As a result, the test project generally requires the participation of professionals, and the calculation may be wrong, and the true value calculation process is repeated. Compared with the true value, there is a relative inherent error in the calculation; one tester can only test one device at the same time, the test efficiency is low, the reading and recording process is error-prone, and the calculation process is single and time-consuming; after completing the test on the same batch of devices, It is necessary for someone to conduct statistics and summary of the test data of each equipment to form batch test statistical results. The process is cumbersome, inefficient, and error-prone; the test data processing is done manually, and a large amount of statistical work is required to output the report. The efficiency of statistical summary is low and error-prone

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