Unmanned aerial vehicle routing inspection fault diagnosis system based on integrated pod and AI technology

A fault diagnosis system and fault diagnosis technology, applied in the direction of control/regulation system, non-electric variable control, instrument, etc., can solve problems such as power failure, damage and damage of electric equipment, equipment damage, etc., to improve detection efficiency and reduce the number of equipment , the effect of saving energy loss

Inactive Publication Date: 2018-05-04
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

Since the power network has made such a great contribution to economic growth, it will inevitably bring new challenges to the development of modern power. Since the power transmission level needs to meet the power needs of different users, it needs to be in various complex areas in mainland China. The erection of transmission lines in the terrain and landforms has caused great trouble to the inspection difficulty, inspection efficiency, and inspection cycle of transmission line inspections.
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  • Unmanned aerial vehicle routing inspection fault diagnosis system based on integrated pod and AI technology
  • Unmanned aerial vehicle routing inspection fault diagnosis system based on integrated pod and AI technology
  • Unmanned aerial vehicle routing inspection fault diagnosis system based on integrated pod and AI technology

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Embodiment Construction

[0032] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0033] Such as figure 1 As shown, the drone inspection fault diagnosis system based on integrated pod and AI technology of the present invention includes unmanned aerial vehicle, cloud platform, integrated pod, binocular vision module, image and data transmission module, analysis control host computer and The fault diagnosis AI system loaded on the analysis and control host; the pan-tilt and the binocular vision module are set under the drone, the integrated pod is connected to the pan-tilt, and the integrated pod is equipped with an infrared detection module and a visible light detection module. Module, control module and image and data transmission module, binocular...

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Abstract

The invention discloses an unmanned aerial vehicle routing inspection fault diagnosis system based on an integrated pod and an AI technology. The unmanned aerial vehicle routing inspection fault diagnosis system based on the integrated pod and the AI technology comprises an unmanned aerial vehicle, a deck, the integrated pod, a binocular vision module, an image and data transmitting module, an analysis control host and a fault diagnosis AI system loaded on the analysis control host, wherein the integrated pod is provided with an infrared detecting module, a visible light detecting module, a control module and an image and data transmitting module; the binocular vision module, the infrared detecting module, the visible light detecting module and the image and data transmitting module are connected with the control module; and the analyzing control host is wirelessly connected with the image and data transmitting module through an image and data receiving module. By the system, the laborintensity of power grid routing inspection maintenance workers is reduced, the working efficiency and working quality of monitoring of a power grid environment are improved, and costs for maintenanceare reduced; and real-time monitoring and multi-point monitoring to the power grid environment are implemented, and scruple of people to power frequency radiation during running of power grid equipment is eliminated.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle inspection. Specifically, the present invention relates to an unmanned aerial vehicle inspection fault diagnosis system based on integrated pod and AI technology, and also relates to an unmanned aerial vehicle inspection system based on the system. Check fault diagnosis method. Background technique [0002] In the decades since we bid farewell to kerosene lamps and entered the era of electricity in the 1970s, our country has moved from the initial power network to a modern high-speed and convenient power supply network of various types, making immeasurable contributions to socialist economic construction. contribute. Since the power network has made such a great contribution to economic growth, it will inevitably bring new challenges to the development of modern power. Since the power transmission level needs to meet the power needs of different users, it needs to be in various co...

Claims

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Application Information

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IPC IPC(8): G05D1/10G05D1/08
CPCG05D1/0808G05D1/101
Inventor 周宗国杨时宽欧阳广泽梁均胡彬周海丁宇洁孔庆华肖祖才
Owner GUIZHOU POWER GRID CO LTD
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