Software engineering database programming control system based on embedded system

被引:0
|
作者
Luo K. [1 ]
Deng W. [2 ]
机构
[1] Fujian College of Water Conservancy and Electric Power, Automatization Engineering College of Intelligent Control Technology, Fujian Province, Yong'an City
[2] Hunan Biological and Electromechanical Polytechnic, Hunan, Changsha
关键词
Database; Embedded system; Independent time step algorithm; Main function; Software programming;
D O I
10.2478/amns.2023.1.00473
中图分类号
学科分类号
摘要
To improve the programming efficiency of a software database, this paper analyzes the possibility of running an embedded system in a software engineering database by constructing an embedded software data programming control system with the help of an independent time step algorithm and main function. By analyzing and calculating the format of DXF files and commonly used group code values, the format of file storage and the method of expressing data in the graphical element processing module are summarized to ensure the accuracy of software processing and the stability of the software processing process. According to the laws summarized in the analysis, the necessity of introducing an embedded system in the software data programming control process was proposed and simulated, and tested. In the test process, we focus on the process time consumption, space resource occupation rate, running accuracy, and step length data. The test results show that the maximum programming process time of the embedded software data programming control system is only 4.5s, the minimum software space resource occupation rate is 19.7%, the highest operation accuracy is 98.9%, and the calculation time per step is about 0.002s, which is significantly better than the programming system based on remote wireless synchronization system and the computer software programming system based on C language technology. The data calculation results of the independent time step algorithm and the main function prove the feasibility of introducing embedded systems in the software programming process and improving the reusability of software programming code for embedded systems. © 2023 Ke Luo et al.;published by Sciendo.
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