Transformer substation personnel detection method and device based on deep learning

A technology of deep learning and personnel detection, which is applied in the field of electric power engineering to achieve the effects of ensuring safety, reducing the workload of equipment maintenance and improving efficiency

Pending Publication Date: 2021-03-23
SHENGZHOU ELECTRIC POWER +2
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the limitations of the existing manual monitoring, the technical problem to be solved by the present invention is to provide a substation personnel detection method based on deep learning, which reduces human labor and improves the detection efficiency of substations

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Transformer substation personnel detection method and device based on deep learning
  • Transformer substation personnel detection method and device based on deep learning
  • Transformer substation personnel detection method and device based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] Such as figure 1 As shown, a substation personnel detection method based on deep learning, including training the substation personnel trajectory and behavior detection model based on deep learning, and the steps of applying the substation personnel trajectory and behavior detection model based on deep learning to detect substa...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a transformer substation personnel detection method based on deep learning. The method comprises the steps: training a transformer substation personnel track and behavior detection model based on deep learning, and carrying out the transformer substation personnel detection through employing the transformer substation personnel track and behavior detection model based on deep learning. The invention further provides a transformer substation personnel detection device based on deep learning, the transformer substation personnel detection device comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the processor implements the steps of the method when executing the computer program. Characteristic selection does not depend on manual experts any more, objects such as safety clothes, safety helmets and work permits can be efficiently and accurately recognized, and the capacity quite meets the requirement of an unattended operation mode of a current transformer substation.

Description

technical field [0001] The invention belongs to the technical field of electric power engineering, and in particular relates to a substation safety monitoring technology. Background technique [0002] In recent years, with the rapid development of power information technology, artificial intelligence technology, and deep learning algorithms, the automation system of substations has been widely used. The current on-duty mode of the system is to transmit all kinds of real-time data of the substation to the dispatching center, which reduces the influence of human factors. However, it is still necessary to manually analyze the monitoring video to determine whether there is illegal personnel intrusion in the substation and whether the operation behavior violates regulations. This kind of on-duty mode that relies on staff to view videos day and night requires a lot of manpower, and the substation operates 24 hours a day, which will inevitably generate a large amount of video data....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/10G06V20/46G06V20/41G06N3/045G06F18/2414G06F18/214
Inventor 蒋翊章羽丰童啸霄周登邓蔚张磊谢坚铿刘伟波徐暕
Owner SHENGZHOU ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap