LED test result automatic determination method and system

Abstract

The invention discloses an LED test result automatic determination method and system. The method comprises the following steps: obtaining flow data of an operation machine through light splitting software, and storing the flow data to local; extracting and uploading test data to a server by identifying a file path, a file name, and a content format, wherein the test data are set according to test requirements; comparing the test data with a comparison standard, performing optimization according to a difference value, then outputting a record report, and transmitting the record report to a viewable network end address for users to view. According to the method and the system, standardized production can be achieved, manual intervention is not needed after maintenance, data can be uploaded to the server for long-term retention, and result reports are output; all test results and optimization records are stored in the system and can be directly checked, and reasons can be conveniently traced and analyzed.

Description

technical field [0001] The invention relates to the field of LED production, in particular to a method and system for automatically judging LED test results. Background technique [0002] LED (Light Emitting Diode, light emitting diode) is a solid-state semiconductor device capable of converting electrical energy into visible light, which can directly convert electricity into light. Due to its long life and environmental protection, LED has been widely used in various lighting fields, such as mobile lighting, backlight, flashlight, automotive lighting, etc. [0003] The detection technology in the prior art requires manual inspection, manual access to the test data, viewing the test data in turn, then adjusting the test data according to experience, and then manually entering it into the record table. Therefore, there are the following defects: it is time-consuming to check manually; it is difficult to analyze and inaccurately check the data manually; it cannot be recorded ...

AI Technical Summary

Problems solved by technology

[0003] The detection technology of the existing technology requires manual inspection, manual access to test data, viewing the test data in turn, and then adjusting the test data according to experience, and then manually entering the record table

Therefore, there are the following defects: it is time-consuming to check manually; it is not easy to analyze and inaccurately check the data manually; it cannot be recorded systematically, and the report is easy to confirm; it is not convenient to trace back

Images