Research on Monitoring the Operation Indicators of Small and Micro Enterprises Based on Electricity Consumption Data

Qing Dai, Wende Zhuang, Jun Yang
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Abstract

The research of operation indicators plays an important role in intelligent monitoring of small and micro enterprises, but there is a problem of inaccurate monitoring. The traditional regression algorithm cannot solve the research problem of monitoring operation indicators in intelligent monitoring of small and micro enterprises, and the detection effect is not satisfactory. Therefore, this paper proposes a research on monitoring the operation indicators of small and micro enterprises based on electrical data monitoring, and analyzes the research on the operation indicators of small and micro enterprises. Firstly, the power system theory is used to locate the influencing factors, and the indicators is divided according to the requirements of the research of operation indicators, so as to reduce the interference factors in the research of operation indicators. Then, the power system theory is used to form a research scheme for monitoring the operation index of electrical data, and the research results of the operation index is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation standards, electrical data monitoring is superior to the traditional regression method in terms of research accuracy of operation indicators and research influencing factor time of operation indicators.
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基于用电数据的小微企业运行指标监测研究
运行指标研究在小微企业智能监测中发挥着重要作用,但存在监测不准确的问题。传统的回归算法无法解决小微企业智能监测中运行指标监测的研究问题,检测效果不理想。因此,本文提出了基于电气数据监测的小微企业运行指标监测研究,并对小微企业运行指标监测研究进行了分析。首先,运用电力系统理论对影响因素进行定位,根据运行指标研究的要求对指标进行划分,减少运行指标研究中的干扰因素。然后,利用电力系统理论形成电气数据运行指标监测研究方案,并对运行指标的研究结果进行综合分析。MATLAB仿真结果表明,在一定的评价标准下,电气数据监测在运行指标研究精度和运行指标影响因素研究时间方面均优于传统的回归方法。
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