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Valve fault detection method, device and equipment and storage medium

A fault detection and valve technology, applied in the field of artificial intelligence, can solve problems such as failure to meet power plant valve maintenance requirements, error-prone inspection efficiency, etc., to achieve good applicability and improve efficiency.

Pending Publication Date: 2022-07-22
深圳市南海核电技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional valve detection mainly relies on manual experience. Fault identification through manual experience is very error-prone and the inspection efficiency is very low, which cannot meet the effective and timely maintenance requirements of a large number of valves in power plants.

Method used

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  • Valve fault detection method, device and equipment and storage medium
  • Valve fault detection method, device and equipment and storage medium
  • Valve fault detection method, device and equipment and storage medium

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Embodiment Construction

[0027]Embodiments of the present invention provide a valve fault detection method, device, equipment and storage medium, which are used to improve the efficiency of valve fault detection. The terms "first", "second", "third", "fourth", etc. (if present) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed steps or units, but may include other steps or units...

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Abstract

The invention relates to the field of artificial intelligence, and discloses a valve fault detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected valve inspection video; inputting the valve inspection video into a preset valve fault detection model for frame-by-frame detection, and outputting a detection result; if the detection result shows that the valve fault exists in the current video frame, calling a preset visual interface, and visualizing a five-dimensional vector in the detection result into a detection frame; and combining the detection frame with a corresponding video frame in the valve inspection video to obtain a valve inspection marking video marked with a valve fault position and a fault type. According to the method, the specific task of valve fault detection is optimized in a targeted mode, the method has better applicability to the valve fault detection task, and the efficiency of valve fault detection is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a valve fault detection method, device, equipment and storage medium. Background technique [0002] With the rapid development of computer technology, computer vision has become an important field of artificial intelligence, playing an increasingly important role in all aspects of people's lives. The application of computer vision technology is very extensive. The target detection method in computer vision technology is used to identify the target object, which can effectively extract the key target in the picture or video, so as to achieve the effect of identification. [0003] The traditional valve inspection mainly relies on manual experience. The fault identification through manual experience is very error-prone and the inspection efficiency is very low, which cannot meet the effective and timely maintenance requirements of a large number of valves in power plants. SU...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06K9/62G06V10/25G06V10/40G06V10/774G06N20/00
CPCG06N20/00G06F18/214
Inventor 任文彬杨志敏王赞顺
Owner 深圳市南海核电技术有限公司