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Baidu Safety Production 파이프라인 점검 인터페이스 by Baidu AI Cloud
Baidu Safety Production 파이프라인 점검 인터페이스 by Baidu AI Cloud
Baidu Safety Production 파이프라인 점검 인터페이스 by Baidu AI Cloud
Baidu Safety Production 파이프라인 점검 인터페이스 by Baidu AI Cloud
Baidu Safety Production 파이프라인 점검 인터페이스 by Baidu AI Cloud

은 인터페이스 · 2023

Baidu Safety Production 파이프라인 점검 인터페이스

by Baidu AI Cloud

  • A' Design Award 은상 2023 in 인터페이스
  • CLIENT: Baidu Online Network Technology (Beijing) Co., Ltd
  • Estimated Number of Design Views: 53,628
  • Verification code 073327BEF4 · Verify this award
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About Baidu Safety Production 파이프라인 점검 인터페이스

바이두 안전 생산(Baidu Safety Production)은 석유·가스 파이프라인 점검을 위한 인터페이스입니다. 인공지능이 지능형 디바이스, 산업 빅데이터, 엣지 컴퓨팅, 디지털 트윈 기술, 사물인터넷, GIS 매핑 및 5G와 결합되었습니다. 이를 통해 고위험 지역에서 무인 또는 최소 인력 점검이 가능해집니다. 주요 기능으로는 안전 위험 요소 식별, 이상 상황 자동 보고, 3차원 원격 모니터링이 있습니다. 로봇과 점검 계획은 컴퓨터에서 관리되며, 정보는 모바일 기기와 대형 스크린에도 표시됩니다.

About the A' Design Award 은상

Baidu Safety Production 파이프라인 점검 인터페이스, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. Baidu Safety Production 파이프라인 점검 인터페이스, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. Baidu Safety Production 파이프라인 점검 인터페이스, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.

Press Kit

Unique Properties
This system achieves technological breakthroughs by deeply integrating AI with oil and gas pipeline inspection, while effectively improving inspection efficiency and realizing early accident warning. Additionally, it combines various intelligent devices and utilizes technologies such as industrial big data, edge computing, digital twin, the Internet of Things, GIS, and 5G to achieve unmanned or minimally manned inspections in high-risk scenarios.
Dimensions & Packaging
Robot, Large Screen, Android Mobile Device, Computer
Tags
System, Personal Safety, Artificial Intelligence, Social Services, Multi-Platform Interaction, User Experience
Production Technology
This system achieves deep integration of advanced technologies such as artificial intelligence, big data, the Internet of Things, GIS mapping, and digital twin with inspection scenarios. It provides users with functional services including intelligent identification of safety risks, automatic reporting of abnormal incidents, and 3D visual remote monitoring. The system achieves unmanned intelligent inspection and linkage of early warning for abnormal events, thus improving the safety quality of inspection.
Design Challenge
The pipeline inspection scenarios present several challenges, such as high labor intensity, poor operation quality, and difficulty in improving efficiency and ensuring personnel safety. Baidu inspection system was designed to solve these problems.
Research
During the early design phase, we conducted numerous user interviews and field research and discovered that the oil and gas pipe gallery contains many pipelines, as well as flammable, explosive, and toxic substances, making traditional manual inspections potentially unsafe. Baidu inspection system greatly improved inspection efficiency and ensured safety production.
Inspiration
In China, the transportation of pipeline for oil and gas is enclosed and complex, and the transport medium may include toxic gases such as hydrogen sulfide and benzene. Traditional patrol inspection mainly relies on manual labor, and once a leak occurs, it poses a huge safety hazard to personnel. Baidu developed this system in response to these challenges.
Project Duration
The project was designed in China in May 2022 and has since been implemented in Chinese enterprises in August. The process is still ongoing and being continuously updated to meet new requirements.
Operation Flow
Users can manage robots, develop inspection plans, and view and process any situation in the pipeline through PC terminals. They can also view information on mobile phones, large screens, and PCs. This multi-terminal linkage interaction reduces limits of time and space, improves the quality of inspection, and ensures the safety of personnel.
Image Credits
Optional Image #4: Photographer Juan Xiong, illustration, 2022. Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2022.

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