A self-learning intelligent meter reading method and system

Abstract

The invention discloses a self-learning intelligent meter reading method, comprising: establishing a sample library for each electric meter, recording the latest N pieces of meter reading data; calculating the best time period for meter reading according to the N pieces of meter reading data; The meter reading priority is calculated according to the time period; the meters are sorted according to the meter reading priority, and when the meter reading time is reached, the meter is read according to the meter reading priority and the best meter reading time period. The invention also discloses a self-learning intelligent meter reading system. The present invention relates to the technical field of power grid, a self-learning intelligent meter reading method and system, which finds out the most suitable reading time for each electric meter, and reads the meter at the most suitable reading time, so as to achieve the best success rate of meter reading , Effectively improve the success rate of the entire electricity consumption information collection, without increasing the cost of equipment, the increase in the success rate of meter reading can greatly reduce the cost of manual meter reading.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a self-learning intelligent meter reading method and system. Background technique [0002] Concentrator: refers to the equipment that collects the data of each collection terminal or electric energy meter, processes and stores it, and can exchange data with the master station or handheld device at the same time. [0003] An attenuator is a device that introduces a predetermined attenuation within a specified frequency range. [0004] At present, automatic remote meter reading is basically popular in my country. The developed provinces in the east and south have achieved full coverage. The average success rate of on-site meter reading is about 96%. Due to the complex on-site environment, it is difficult to improve it a little bit. Another On the one hand, there are more and more data items for meter reading, and there are fewer and fewer opportunities for supplementary copying...

AI Technical Summary

Problems solved by technology

[0004] At present, automatic remote meter reading is basically popular in my country. The developed provinces in the east and south have achieved full coverage. The average success rate of on-site meter reading is about 96%. Due to the complex on-site environment, it is difficult to improve it a little bit. Another On the one hand, there are more and more data items for meter reading, and there are fewer and fewer opportunities for supplementary copying in a limited time. For electric meters that cannot be copied back, staff need to read them on site. If the success rate of meter reading can be increased by 1%, then Hundreds of millions of yuan in meter reading fees and maintenance fees can be saved nationwide a year

[0005] There are two existing methods to improve the success rate of meter reading. One is to install more repeaters. According to the actual situation, the station area may need to install several repeaters, each of which is about several hundred yuan, and the equipment cost is high. There are still high requirements for installation site selection, and installation management also has a considerable cost; one is to increase the number of supplementary readings. With the increase of meter reading data items, the fixed meter reading interval is very limited, leaving The time and frequency of supplementary copying are getting less and less

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