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Early warning method and device based on business scene

A technology of business scenarios and early warning devices, applied in the field of data processing, can solve problems such as inability to apply, unstable equipment and personnel organization, and inability to provide early warning prompts, etc., to achieve the effect of ensuring personal safety, improving accuracy and timeliness

Active Publication Date: 2021-06-04
GUANGDONG POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the scene, equipment, and personnel organization of emergency repair of power equipment are not fixed, and the existing early warning methods cannot be applied to such dynamic emergency repair scenarios, so real-time early warning prompts cannot be provided.

Method used

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  • Early warning method and device based on business scene

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0028] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a",...

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Abstract

The invention discloses an early warning method and device based on a business scene, and the method comprises the steps: building a model through employing the collected information of the business scene, and storing the model in a cloud end; acquiring field information of a current service scene in real time by using AR equipment, transmitting the field information to a cloud end, and identifying a target in the current service scene according to the model; and judging whether the safety state of the target accords with a preset rule, and if not, outputting early warning information to the AR equipment in real time. According to the method, real-time early warning is carried out on the dangerous condition in the current service scene by means of the wearable AR equipment and in combination with image recognition and space positioning technologies, and the personal safety of service personnel is effectively guaranteed.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an early warning method and device based on business scenarios. Background technique [0002] The transformer in the station area is an important equipment in the distribution network. It undertakes the important responsibility of distributing and transmitting electric energy to users in the station area. The failure of the transformer in the station area will directly affect the life and production of users such as residents, schools, and enterprises in the station area. The emergency repair process involves high-risk operations, so it is also very important to ensure the safety of the transformer repair process in the station area. [0003] At present, the existing maintenance and early warning methods mainly use a variety of sensors to monitor equipment and operators in fixed scenes in real time, so as to identify dangerous information during the work process. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/063114G06Q10/0635G06Q10/20
Inventor 陈彩娜潘岐深陈慧坤张壮领李华李斌郑松源
Owner GUANGDONG POWER GRID CO LTD
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