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Artificial intelligence-based early warning system and method for external hidden dangers of transmission lines

A technology of transmission lines and artificial intelligence, applied in neural learning methods, computer parts, instruments, etc., can solve problems that are rarely involved in research, and achieve the effect of preventing false detection and missed detection, and improving efficiency and accuracy.

Active Publication Date: 2022-03-11
山东和兑智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, researchers mainly focus on the research on the detection algorithm of external hidden dangers, while the research on the monitoring system based on the detection algorithm is rarely involved.

Method used

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  • Artificial intelligence-based early warning system and method for external hidden dangers of transmission lines
  • Artificial intelligence-based early warning system and method for external hidden dangers of transmission lines
  • Artificial intelligence-based early warning system and method for external hidden dangers of transmission lines

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Embodiment Construction

[0038] Below in conjunction with specific embodiment, the present invention is described in further detail:

[0039] Such as figure 1As shown in , the artificial intelligence-based external hidden danger warning system for transmission lines, including the front-end equipment and monitoring sub-station host installed on the high-voltage transmission line tower, the front-end equipment and monitoring sub-station Host connection, monitoring sub-station host and remote background monitoring system communication connection, monitoring sub-station host, background monitoring system and neural network module connection, front-end equipment is used to collect on-site environmental images, and send the collected data to the monitoring sub-station Host, the host of the monitoring substation preprocesses the image and intelligently analyzes and monitors to determine whether there is foreign object intrusion, and controls the front-end equipment to issue an on-site alarm.

[0040] The f...

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Abstract

An artificial intelligence-based early warning system and method for external hidden dangers of transmission lines, including front-end equipment installed on high-voltage transmission line towers and monitoring sub-station hosts, front-end equipment and monitoring sub-station hosts are connected, monitoring sub-station hosts and remote background monitoring systems Communication connection, monitoring sub-station host, background monitoring system and neural network module connection. Utilize the lightweight network deployed in the core processing and computing module for foreign object detection, and send different warning messages to mobile terminals, monitoring sub-station hosts and front-end equipment alarms according to the foreign object detection status of the background monitoring system. The core processing operation module and the video server in the background monitoring system are equipped with intelligent detection algorithms for intelligent detection of external hidden dangers, which constitute two lines of defense for external hidden dangers detection, which can not only detect external hidden dangers in time and quickly, but also effectively reduce It eliminates false detection and missed detection caused by a single intelligent detection algorithm, and improves the efficiency and accuracy of automatic monitoring.

Description

technical field [0001] The invention relates to the field of safety monitoring of power transmission lines, in particular to an artificial intelligence-based early warning system and method for external hidden dangers of power transmission lines. Background technique [0002] With the continuous growth of China's power transmission demand and the continuous expansion of the power system scale, the safety and stability of transmission lines in the power system are becoming more and more important. Since most of the transmission lines are erected in the natural environment and under the engineering site, they will inevitably be violated by external hidden dangers such as cranes, forklifts and wildfires. If the external hidden dangers cannot be detected in time and correspondingly dealt with and removed, it may lead to unpredictable power accidents, cause line fault tripping, and affect the power consumption of important loads such as factories and hospitals and the normal oper...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V20/52G06V10/22G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/214
Inventor 杨文强郑含博
Owner 山东和兑智能科技有限公司