摘要
Abstract
To address the significant challenge of efficiently obtaining diversified and high-fidelity test data in power monitoring system testing,this paper proposes a test dataset generation method that meets the requirements of time-series characteristics,anomaly scenario coverage,data integrity,and data repeatability,so as to satisfy the high-quality testing demands of power monitoring systems.Firstly,the data simulation requirements of the system under multi-dimensional states are clarified.Then,a data generation algorithm combining rule-based modeling and random perturbation is designed,and a structured,configurable,and multi-scenario-covered dataset generation framework is constructed.Case verification and systematic evaluation show that the generated dataset can effectively simulate actual operating characteristics with good coverage,usability,and stability.Finally,summarize the application of the method in power monitoring system testing and look forward to its future expansion directions.关键词
电力监控系统/测试数据集/数据处理算法/性能评估Key words
power monitoring system/test dataset/data processing algorithm/performance evaluation分类
信息技术与安全科学
