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Transformer substation equipment intelligent shooting method and device based on deep learning

A technology of deep learning and shooting methods, applied in TV, color TV, electrical components, etc., can solve the problems of low processing efficiency, insufficient level of intelligence, multi-human participation, etc., achieve high level of intelligence, ensure accuracy, improve efficiency effect

Active Publication Date: 2019-09-20
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a deep learning-based intelligent photographing method and device for substation equipment to solve the problem of insufficient intelligence of inspection robots in current substations and still requiring more manual participation, resulting in low processing efficiency. question

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  • Transformer substation equipment intelligent shooting method and device based on deep learning
  • Transformer substation equipment intelligent shooting method and device based on deep learning
  • Transformer substation equipment intelligent shooting method and device based on deep learning

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Embodiment 1

[0026] The first aspect of the embodiment of the present invention provides a deep learning-based intelligent photographing method for substation equipment, such as figure 1 shown, including:

[0027] Step S1: Control the lens to rotate in the horizontal direction according to the preset angle increment and collect image information, and record the first shooting angle and first shooting focal length of the current lens. The preset angle increment can be any value, which is convenient for description. In this embodiment, the preset angle increment is 30 degrees as an example, and the above-mentioned first shooting angle is denoted as a, and the above-mentioned first shooting focal length is denoted as b.

[0028] Step S2: call the preset substation equipment intelligent recognition model to analyze the image information, and identify the position and quantity of the target equipment in the image information. In a specific embodiment, the number of target equipment in the image...

Embodiment 2

[0053] The second aspect of the embodiment of the present invention provides a deep learning-based intelligent photographing device for substation equipment, such as Figure 4 shown, including:

[0054] The image information acquisition module 1 is used to control the lens to rotate in the horizontal direction according to the preset angle increment and collect image information, and record the first shooting angle and the first shooting focal length of the current lens. For details, refer to the relevant step S1 of the above-mentioned embodiment 1. describe.

[0055] The target equipment identification module 2 is used to call the preset substation equipment intelligent identification model to analyze the image information, and identify the location and quantity of the target equipment in the image information. For details, refer to the relevant description of step S2 in the first embodiment above.

[0056] The lens adjustment module 3 is used to adjust the angle and / or foca...

Embodiment 3

[0060] The embodiment of the present invention also provides a computer device, such as Figure 5 As shown, the computer device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected by a bus or in other ways, Figure 5 Take connection via bus as an example.

[0061] The processor 51 may be a central processing unit (Central Processing Unit, CPU). Processor 51 can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or Other chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above-mentioned types of chips.

[0062] The memory 52, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transito...

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Abstract

The invention discloses a transformer substation equipment intelligent shooting method and device based on deep learning, and the method comprises the steps: controlling a lens to rotate in a horizontal direction according to a preset angle increment, collecting image information, and recording a first shooting angle and a first shooting focal length of a current lens; calling a preset transformer substation equipment intelligent identification model to analyze the image information, and identifying the positions and the number of target equipment in the image information; adjusting the angle and / or the focal length of the lens according to the position and the number of the target devices, and recording a second shooting angle and a second shooting focal length shot by the adjusted lens; restoring the lens angle to a first shooting angle, and restoring the lens focal length to a first shooting focal length; and returning to the step of controlling the lens to rotate along the horizontal direction according to the preset angle increment and collecting the image information until the lens rotates for a circle. Through the implementation of the invention, the tedious operations of manually setting an inspection target, a shooting angle, a focal length and the like in advance are avoided, and the image acquisition efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent image recognition, in particular to a method and device for intelligently photographing substation equipment based on deep learning. Background technique [0002] Power transmission and transformation inspection plays a vital role in power production and operation. It can ensure that abnormal conditions in substations are discovered as soon as possible and dealt with in a timely manner, so as to avoid economic losses or even casualties caused by condition deterioration. Routine inspections of traditional substations require a lot of manpower and require personnel to go to relatively dangerous areas for careful observation. In order to reduce costs and improve operational safety, power companies have enabled inspection robots in several substations, which can take pictures while moving Device-related images for subsequent analysis. However, the intelligence level of the current inspection robo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232G06K9/00G06T7/70
CPCG06T7/70G06V20/00H04N23/67H04N23/61H04N23/695
Inventor 陈其鹏林国强柴博陈江琦于同伟李桐
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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