基于用电大数据的智能电能表异常评估系统

Intelligent Electric Energy Meter Abnormality Assessment System Based on Electricity Consumption Big Data

智能电能表在复杂的环境下运行,由于目前缺少一定的技术管理手段,因此通过合理的技术手段分析出智能电能表在运行中的状态能够有效减少人力物力的投入。基于用电大数据和决策树算法,设计了一种智能电能表异常评估系统。所设计的系统可以对智能电能表在运行过程所计的用电量、电压、电流以及档案信息进行分析,对智能电能表异常提供合理的评估分析。

Smart energy meters operate in a environment. Due to the current lack of certain technical management methods,analyzing the status of the intelligent energy meters in operation through reasonable technical means can effectively reduce the input of manpower and material resources. Based on the power consumption big data and decision tree algorithm, a smart energy meter abnormality evaluation system is designed. The designed system can analyze the electricity consumption, voltage, current and file information calculated during the operation of the smart energy meter, and provide a reasonable evaluation and analysis for the abnormality of the smart energy meter.