基于蚁群算法的物联网管理平台测试数据生成方法研究

Ning Zhang, Fangjian Shang, Xin Li, Wenjun Zhu
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引用次数: 0

摘要

目前,应用人工智能技术进行测试数据生成已成为研究热点之一。但其研究方法并不适用于电力物联网领域。本文分析了电力物联网统一管理平台的具体功能,并应用蚁群算法实现测试数据的自动生成。从而解决了用户手工编制数据耗时且不规范的问题,提高了系统的测试效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Test Data Generation Method of IOT Management Platform Based on Ant Colony Algorithm
At present, the application of artificial intelligence technology to test data generation has become one of the research hotspots. However, its research method is not suitable for the field of electric power Internet of Things. This paper analyzes the specific functions of the unified IOT management platform in the power IOT, and applies ant colony algorithm to realize the automatic generation of test data. so as to solve the problems of time-consuming and nonstandard manual data compilation by users and improve the test efficiency of the system.
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