Cable Channel Edge IoT Terminal and Method Based on Ubiquitous Power Internet of Things

Abstract

The present disclosure provides a cable channel edge IoT terminal and method based on the ubiquitous electric power Internet of Things, and relates to the technical field of the electric power Internet of Things. The AI ​​image recognition results of video data control the joint action of each cable channel device, and transmit the collected data and joint action signals to the IoT management platform in real time; this disclosure combines linkage control, defect early warning and AI image recognition to realize The real-time evaluation of the cable channel environment and equipment status, fast and intelligent fault handling and precise proactive repair have effectively improved the professional and lean operation and maintenance capabilities of cables and ensured safe and stable operation of cables.

Description

technical field [0001] The present disclosure relates to the technical field of the electric power Internet of Things, and in particular to a cable channel edge Internet of Things terminal and method based on the ubiquitous electric power Internet of Things. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] The ubiquitous power Internet of Things (SG-eIoT) is an evolutionary development form of the power Internet of Things. Its main content is to fully apply modern information technologies such as mobile Internet and artificial intelligence and advanced communication technologies around the various links of the power system to realize the Internet of everything, human-computer interaction, intelligent service system with comprehensive status perception, efficient information processing, convenient and flexible application, including a four...

AI Technical Summary

Problems solved by technology

At present, the cable channel monitoring system lacks related equipment with edge computing capabilities, and cannot complete data analysis and calculation on the spot; the data collector does not have a storage function, and cannot complete local data copying and backup; the collector has poor interaction with the main station, and does not have edge cloud Collaborative function

[0007] (2) The reliability of the network architecture is not high

At present, the local communication network generally adopts the bus transmission mode, the data copying speed is slow, the reliability is not high, and the communication protocol is not standard; the remote communication network generally adopts the optical fiber ring network structure, the degree of modularization is not high, and the scalability is poor

[0008] (3) Autonomous early warning capability needs to be improved

First, in terms of line autonomous early warning, the current real-time perception ability of cable channels is not strong, and it is impossible to complete the active alarm of defects. Line inspection mainly relies on a large number of manual and daily tools, which is labor-intensive and slow, and the independent early warning ability needs to be improved; The traditional cable channel monitoring system cannot complete the automatic identification of defects, and all rely on the data to be sent to the background software for analysis and processing, and the real-time performance is not strong

[0009] (4) Perceived device compatibility is not high

There are many types of cable channel state sensing equipment, and the equipment interfaces and communication specifications of various manufacturers are not uniform; sensing equipment does not support the Internet of Things protocol, and the overall intelligence level is low

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