Development Of Full Traceability Information Integration Platform Of LED Standard Optical Components Test

Light-emitting diode(LED)is a vital light source product nowadays.The Information and traceability upgrade of LED detection plays a crucial role in the optical component test industrial chain.In this paper,we focus on the shortcomings of classical detection methods for standard LED light components and research into the digital information traceability technology for detection of light components.With the title of Development of Full Traceability Information Integration Platform of LED Standard Optical Components Test,the paper focuses on the research in the following aspects: optical component test data mobile internet acquisition technology,optical components QR code identification technology,optical component detection data full traceability PROV-DM model.We have developed several applications to finish this work: An Android App for data acquisition in optical component reliability experiment,a WEB page for optical characteristic parameter acquisition,a LabVIEW application for cable performance parameters acquisition,and an RBAC control system to manage privilege in optical component detection,etc.The project has practical significance and academic value in improving the level of information,integration and data traceability of LED standard optical component detection,promoting the development of the LED lighting manufacturing.The research is funded by the Guangdong Provincial Science and Technology Plan Project(No.2016B010113001).This paper studies the full traceability information integration platform of LED standard optical components tests,and summarizes the research progress at home and abroad from three aspects: optical components detection method,detection data full traceability information integration,and test data information integration.The central work of our thesis includes:(1)We analyze the requirement of the full traceability information integration platform for LED standard optical component detection,which contains data provenance,detection data acquisition,optical component information management,test report generation,etc.This paper studies the functional framework of the full traceability information integration platform for LED standard optical component detection,and designs the modules,including sample storage,unified management,RBAC authentication,data collection,and test report generation.In order to complete the work of optical component information registration,we research QR code label generation,detection data collection and management,etc.(2)We design the traceability process flow of optical component detection,and use Distributed-Snowflake unique serial number generation algorithm to meet the large-scale optical component informatization requirements,then print the QR code tags of the optical component in the WEB browser.After analyzing the data acquisition requirements of the optical component reliability test,we develop an Android acquisition program for QR code recognition and test data collection.Latter we design the structure for optical components traceability data transfer as well as the method of traceability information block verification,then use the MD5+slat algorithm to encrypt traceability data.Finally,we establish the PROV-DM traceability information model of optical component detection,generating Sankey map and Hive map of the optical component traceability data,tracing the optical component inspection process and analyzing the data association.(3)Facing the detection status and demand characteristics of different inspection items,we transform the corresponding detection in the original inspection platform to improve the detection efficiency.We design the optical component electrical characteristic parameter acquisition software based on LabWindows which reads the electrical parameter detection data and uploads it through the cloud data server.We develop a WEB-based optical performance parameter acquisition software which could read the DAT file automatically and calculate critical parameters like SDCM.We study a fast machine vision method to measure the thickness of the lead insulation layer of the optical component.A contour comparison method is proposed to detect the thickness of the insulating layer,which makes the thickness of the insulating layer visualized and improves the detection efficiency.ActiveX is used to read the test data of the tensiometer,then comparing with the standard data to judge the quality of the lead intelligently,eventually outputting the test report,thereby reduce the workload of the inspectors.(4)We study the architecture of optical component management system,then designing the 5-layer architecture model of the optical component information management system.We analyze the operating system and database selection,and develop the single-machine system structure,the cluster topology,and the MySQL-based optical component sample related database field table.Based on the RBAC privilege management technology,the design maintains an RBAC data table in the rights management system,to ensure the security of optical component detection data.(5)We design the test steps of the optical component detection full-traceability information integration platform software,to test the platform function,such as detection,data management.Practical application of the platform is carried out in the testing organization,compared and analyzed the effects of the platform before and after information integration.The data show that the platform achieves real results in informatization,automation,integration and full traceability,saves nearly 87.5% of the staff time cost and saves a lot of expenses for the testing organization.The development of full traceability information integration platform for LED standard optical component detection studied in this paper has been applied in practice.The results show that the system achieves the expected function,which verifies the feasibility,validity,and correctness of the conclusions of this paper.