Smart electric meter electricity-selling communication detection system

Abstract

The invention discloses a smart electric meter electricity-selling communication detection system. A piece of portable message analysis equipment communicates with a terminal through a communication listening device. The shell of the portable message analysis equipment is internally equipped with a CPU which is connected with a power supply, a camera, a security module, a GPS module, a barcode scanning window, an RS485 communication interface, a GPRS channel, a display screen and a data processing module. The data processing module includes an A/D conversion circuit and a DSP. The data processing module is connected with a clamp meter through a current loop, connected with a clip through a power loop and connected with an electric meter through pulse input. The CPU is internally equipped with metering site service system software which is composed of a message analysis system and a task execution system. According to the system, the portable message analysis equipment is connected with different communication equipment through a connecting device so as to listen to infrared messages, RS485 channel messages and carrier communication messages of the equipment, the cause of failure is analyzed based on a multi-protocol message screening analysis technology, and thus, the failure equipment is located.

Description

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AI Technical Summary

Benefits of technology

This patented system uses an intelligent meter that helps manage power supply more efficiently based on its location or status. Its technical effect includes improved monitoring capabilities at remote locations where there may be multiple types of communications networks connected together without any issues affecting their performance.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of replacing or managing electrical devices (like smart meters) used at home without requiring significant human effort during maintenance tasks like power purchases and charging cycles. Current methods require extensive documentation from engineers beforehand, making them difficult to manage accurately. Additionally, existing systems are slowed down when there'll be issues related to incorrect data entries caused by insufficiently trained staff members who manually enter data into their computerized device.

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