Technology for analyzing user electricity data based on noninvasive intelligent monitoring

Abstract

Provided is a technology for analyzing user electricity data based on noninvasive intelligent monitoring. The technology adopts a data collection module, a data preprocessing module, a data communication module, an event detecting module and a load mark identification module to achieve the monitoring and analysis of the user electricity data, the data collection module is used for collecting the user electricity data, and the data preprocessing module is used for preprocessing an input signal and transmitting the input signal to a cloud service platform by the data communication module througha 5G network; the cloud service platform analyzes and saves the received data through the event detecting module, the load mark identification module analyzes an electrical load mark of the power user saved in the event detecting module, a model is built, the source of each mark feature sample is identified through a method of machine learning, and the monitoring and analysis of the user electricity data are achieved ultimately. The technology for analyzing the user electricity data based on the noninvasive intelligent monitoring has the advantages that effective technical support for the control of mutual energy flow between power users and electrical network enterprises, and the technology has a good application prospect.

Description

technical field [0001] The invention relates to the field of electric power application technology, in particular to a technology based on non-intrusive intelligent monitoring and analysis of user electricity consumption data. Background technique [0002] The development of the Energy Internet and the advancement of power market reforms have continuously increased the interaction between power users and grid companies and the demand for power users to participate in the power market. Power grid enterprises obtain detailed electricity consumption data of users, which is the basis for understanding users' electricity consumption behavior and adjusting the energy structure, and it is also the demand of power users. When the photovoltaic power generation exceeds the load power consumption, the surplus power can be stored in the energy storage device and sold to the grid. When the photovoltaic power generation is lower than the load power consumption, it can be taken from the gr...

AI Technical Summary

Problems solved by technology

In order to achieve the above goals, intelligent power consumption analysis is the key to realizing the Energy Internet; however, among the currently known technologies, none of them can effectively provide power users with details of power load and energy consumption information, so it cannot be realized as a communication between power users and grid companies. Provide technical support for the dynamic adjustment of energy demand and supply at any time; at the same time, most of the current monitoring methods for power users are intrusive, and each type of load in the system is monitored separately. This monitoring method requires a lot of hardware equipment , will consume a lot of cost in procurement, installation and maintenance

And because each detection device is a data source, the installation, commissioning and maintenance costs of sensors with digital communication are relatively large, and too many sensors will reduce the reliability of the monitoring system and electrical appliances

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