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A transmission line component recognition method based on mixed data processing of GPU and CPU

A technology of transmission lines and identification methods, applied in image data processing, image analysis, instruments, etc., can solve the problems of large data volume, large number of images, long time consumption, etc. Effect

Active Publication Date: 2019-04-09
STATE GRID INTELLIGENCE TECH CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The existing processing method uses the CPU to process data alone to complete the component recognition task, but in the current inspection, the number of images and the amount of data obtained in each inspection are large, and it is time-consuming to use only the CPU for data processing. Long, unable to meet the post-data processing requirements of the current inspection

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  • A transmission line component recognition method based on mixed data processing of GPU and CPU
  • A transmission line component recognition method based on mixed data processing of GPU and CPU
  • A transmission line component recognition method based on mixed data processing of GPU and CPU

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] A transmission line component recognition method based on mixed data processing of GPU and CPU. Use the GPU to process simple, repetitive but high-calculation data operation steps, use the CPU to process logical reasoning, data analysis and other data processing steps with a small amount of calculation and complex control, and use the characteristics of the CPU and GPU to complement each other in data operations and improve Overall data processing efficiency.

[0033] Such as figure 1 As shown, the specific steps include:

[0034] (1) Data preprocessing. Form the image under the file path into a data stream file, and judge whether the existing GPU meets the data processing requirements.

[0035] (2) Data management. Extract the image pixel value, and realize the data exchange between CPU memory and GPU memory.

[0036] (3) Data distribution...

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Abstract

The invention discloses a power transmission line part identification method based on GPU and CPU blended data processing. The power transmission line part identification method based on GPU and CPU blended data processing includes the steps: according to the input image folder path, enabling an image in the path to form a data flow file, and according to the size of image data, opening up the memory space for an image processor; extracting the pixel value of the image, and performing memory data exchange between a CPU (Central Processing Unit) and an image processor; according to the size of the original data of the image and the kernel amount, on the basis of guaranteeing that every thread memory is filled, distributing memory for every thread, and guaranteeing the corresponding relationship between the data after processing and the original data at the same time; utilizing a prewitt operator to extract the edge characteristics of the image, and guaranteeing the data consistency at the same time; and according to the obtained edge data through calculation of the image processor, determining the pole or lead part in the image by the CPU. The power transmission line part identification method based on GPU and CPU blended data processing fully utilizes the performance advantages of the CPU and GPU, and improves the execution efficiency of task identification.

Description

technical field [0001] The invention relates to a power transmission line component identification method based on mixed data processing of GPU and CPU. Background technique [0002] With the rapid development of my country's national economy and the increasing scale of urban construction, the increasing demand for power energy is met by adding high-voltage and ultra-high-voltage lines. In order to ensure the stable power supply and safe operation of the entire power grid, routine and special inspections of transmission lines are required. Manual inspections usually rely on inspection personnel to carry relevant equipment (telescopes, infrared imagers, etc.) for observation, which cannot fully observe the operating status of transmission lines and equipment, and is labor-intensive. This traditional inspection mode can no longer meet the inspection needs at this stage. As a new and efficient inspection mode, drones have been introduced into daily inspection work. The UAV in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/181
CPCG06T7/0008
Inventor 刘越王万国刘俍苏建军慕世友任志刚杨波李超英傅孟潮孙晓斌李宗谕李建祥赵金龙
Owner STATE GRID INTELLIGENCE TECH CO LTD
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