Method for analyzing state of edge point of electric meter

Abstract

According to a method for analyzing the state of an edge point of an electric meter, a high-frequency collector is arranged in an intelligent module, and data collected by the module is used for performing analysis in two aspects, namely user side switch state monitoring and user electrical load monitoring; in an electricity consumption information acquisition system, a user side is defined as an end node, a concentrator and an intelligent electric meter are respectively a master edge node and a slave edge node, a master station is a master node, and a network architecture of double-layer edge device cooperation of the master edge node and the slave edge node combines master station analysis and edge calculation together. Hardware upgrading is carried out on the basis of an existing intelligent electric meter, the design thought and hardware configuration of a non-intrusive intelligent analysis module are provided, the function of the intelligent electric meter is enhanced, and the module can assist in judging the cause of power failure of a user side and counting the power consumption condition of electric appliances in a family of the user; meanwhile, a distributed model training scheme is provided, computing power resources of edge nodes and end nodes are fully utilized, and the model optimization process is accelerated.

Description

technical field [0001] The invention relates to the technical field of power system calculation and analysis, in particular to a method for analyzing the state of an electric meter edge point. Background technique [0002] Since 2009, the two major domestic power grid companies (State Grid Corporation of China and China Southern Power Grid Corporation) have officially launched the "full coverage, full collection and full cost control" project of the electricity consumption information collection system for power marketing. As of 2020, nearly 700 million smart meters and nearly 10 million concentrators have been installed across the country, basically meeting the construction goals of the expected electricity consumption information collection system. [0003] However, due to the rapid development of domestic informatization level and intelligent applications, as well as the popularization of new technologies such as cloud computing, big data, and edge computing, the power co...

AI Technical Summary

Problems solved by technology

[0004] At present, the most terminal node of the power consumption information collection system for power marketing at home and abroad is the meter (that is, the meter measurement point is the boundary), which only measures the user's power consumption, voltage value, current value and other information, and is not responsible for the household power consumption status of residents. , power consumption behavior and power outage fault detection and other functional analysis, there are blind spots in power consumption services

At the same time, although the concentrator and the meter at the access end of the electricity consumption information collection system of the existing electric power marketing have intelligent analysis capabilities, they have not formed a good intelligent application of meter status analysis and fault diagnosis, especially the diagnosis of the meter's own faults. , is still one of the unresolved problems

[0005] The technical problems to be solved by the present invention are: 1) The electric power marketing system realizes the installation of smart meters and regular data collection of all electricity metering nodes, but is limited by the influence of factors such as the manufacturing cost of the existing meters, the original design intention, and the operating mechanism. The state monitoring method of the meter itself is not perfect, which directly affects the success rate of electricity marketing data collection, and also affects the development of advanced intelligent electricity consumption analysis; 2) The basic function of the meter is measurement, which directly determines the meter itself. There are not too many other advanced analysis function designs except metering, but with the promotion of lean marketing management such as user electricity consumption behavior analysis, two-way demand response and active load monitoring, it is difficult to support similar needs only by installed electricity meters

At the same time, considering that there are hundreds of millions of installed electricity meters, it is impossible to simply replace them. Therefore, it is necessary to carry out research work on function improvement based on existing electricity meters; The model is "concentrator + meter". Although both the concentrator and the meter have hardware CPUs, which can realize data collection and analysis, the coordination mechanism between the two is still insufficient, and the computing resources between the two are not fully utilized. It is necessary to learn from the existing edge computing and other new concepts to optimize the collaborative processing mechanism of the power consumption information collection system equipment, so as to support the development of lean marketing

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