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Baidu Safety Production Pipeline Inspection by Baidu AI Cloud
Baidu Safety Production Pipeline Inspection by Baidu AI Cloud
Baidu Safety Production Pipeline Inspection by Baidu AI Cloud
Baidu Safety Production Pipeline Inspection by Baidu AI Cloud
Baidu Safety Production Pipeline Inspection by Baidu AI Cloud

Baidu Online Network Technology (Beijing) Co., Ltd

Silver Interface, Interaction and User Experience Design · 2023

Baidu Safety Production Pipeline Inspection

by Baidu AI Cloud

  • A' Design Award 2023 Silver Winner in Interface, Interaction and User Experience Design
  • Awarded April 15, 2023
  • CLIENT: Baidu Online Network Technology (Beijing) Co., Ltd
  • Estimated Number of Design Views: 53,356
  • Verification code 073327BEF4 · Verify this award
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About Baidu Safety Production Pipeline Inspection

Baidu Safety Production is an interface for oil and gas pipeline inspection. Artificial intelligence is combined with intelligent devices, industrial big data, edge computing, digital twin technology, the Internet of Things, GIS mapping and 5G. Unmanned or minimally manned inspection becomes possible in high-risk areas. Functions include identification of safety risks, automatic reporting of abnormal events and three-dimensional remote monitoring. Robots and inspection plans are managed on computers, and information is also shown on mobile devices and large screens.

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.
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.
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.
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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