Author(s)

Boyang Liu ¹

Affiliation(s)

¹ Operation Department, ONUS Global Fulfilment Solutions, Richmond, V6W 1G3, British Columbia, Canada

Corresponding Author

Boyang Liu

ABSTRACT

In order to solve the problems of scattered data storage, difficult management and low data utilization in ship impact and explosion test, a test data management system integrating remote monitoring and historical data analysis is designed and implemented in this paper. The system adopts the hybrid architecture mode of B/S (browser/server) and C/S (client/server) to give full play to the advantages of the two architectures. VUE, ExtJS, Java, Python and other advanced technical frameworks and programming languages are applied in the system development process to ensure the high efficiency and flexibility of the system. The core function modules of the system include test task scheduling, data storage and management, data analysis, resource allocation, knowledge management and system maintenance. Through these modules, the system not only realizes the systematic management of the test data, but also supports the flexible expansion of the analysis algorithm to adapt to the ever-changing test requirements. The test results show that the system effectively solves the decentralized problem of data storage and management, and significantly improves the standardization and utilization efficiency of data management. The integration of remote monitoring function makes it possible to collect and process real-time data, and at the same time, to conduct in-depth analysis with historical data, which greatly improves the comprehensive application value of data. The implementation of this system has promoted the improvement of the management level of ship impact and explosion test data, and provided strong support for the research and application in related fields.

KEYWORDS

Ship impact explosion test, Test data management system, Remote monitoring, Data analysis, B/S

CITE THIS PAPER

Boyang Liu, Design and Application of Experimental Data Management System Integrating Remote Monitoring and Historical Data Analysis. Journal of Electronics and Information Science (2024) Vol. 9: 160-167. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090321.

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