Baidu Safety Production ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ in ᱤᱱᱴᱟᱨᱯᱷᱮᱥ, ᱤᱱᱴᱟᱨᱮᱠᱥᱚᱱ ᱟᱨ ᱵᱮᱵᱦᱟᱨᱤᱭᱟᱹ ᱟᱱᱩᱵᱷᱟᱵ ᱰᱤᱡᱟᱭᱤᱱ Competition Category.
ᱨᱩᱯᱟᱤᱱᱴᱟᱨᱯᱷᱮᱥ· 2023
Baidu Safety Production ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ
Client: Baidu Online Network Technology (Beijing) Co., Ltd
A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ Winner in ᱤᱱᱴᱟᱨᱯᱷᱮᱥ Category
- 53,628
- Verified Award Winner
- Verify Award Status for #148778
The Design
About Baidu Safety Production ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ
ᱵᱟᱭᱰᱩ ᱥᱮᱯᱷᱴᱤ ᱯᱨᱚᱰᱚᱠᱥᱚᱱ ᱫᱚ ᱛᱮᱞ ᱟᱨ ᱜᱮᱥ ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱢᱤᱫᱴᱮᱱ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ ᱠᱟᱱᱟ᱾ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ ᱫᱚ ᱥᱮᱭᱟᱱ ᱡᱤᱱᱤᱥᱠᱚ, ᱤᱱᱰᱚᱥᱴᱨᱤᱭᱟᱞ ᱵᱤᱜ ᱰᱟᱴᱟ, ᱮᱡ ᱠᱚᱢᱯᱭᱩᱴᱤᱝ, ᱰᱤᱡᱤᱴᱟᱞ ᱴᱩᱭᱤᱱ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ, ᱤᱱᱴᱚᱨᱱᱮᱴ ᱚᱯᱷ ᱛᱷᱤᱝᱥ, ᱡᱤᱟᱭᱮᱥ ᱢᱮᱯᱤᱝ ᱟᱨ ᱕ᱡᱤ ᱥᱟᱶ ᱢᱮᱥᱟ ᱟᱠᱟᱱᱟ᱾ ᱡᱚᱠᱷᱚᱢ ᱡᱟᱭᱜᱟ ᱠᱚᱨᱮ ᱦᱚᱲ ᱵᱟᱹᱜᱤ ᱛᱮ ᱟᱨ ᱵᱟᱝ ᱠᱚᱢ ᱦᱚᱲ ᱛᱮ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ᱾ ᱠᱟᱹᱢᱤ ᱠᱚ ᱛᱟᱞᱟ ᱨᱮ ᱡᱚᱠᱷᱚᱢ ᱧᱮᱞ ᱧᱟᱢ, ᱮᱴᱠᱮᱴᱚᱬᱮ ᱜᱷᱚᱴᱱᱟ ᱠᱚ ᱨᱮᱭᱟᱜ ᱟᱡ ᱛᱮ ᱠᱷᱚᱵᱚᱨ ᱮᱢ ᱟᱨ ᱯᱮ-ᱰᱟᱭᱢᱮᱱᱥᱚᱱ ᱥᱟᱺᱜᱤᱧ ᱠᱷᱚᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱢᱮᱱᱟᱜ-ᱟ᱾ ᱨᱚᱵᱚᱴ ᱟᱨ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱨᱮᱭᱟᱜ ᱡᱚᱡᱽᱱᱟ ᱠᱚ ᱠᱚᱢᱯᱭᱩᱴᱚᱨ ᱨᱮ ᱵᱮᱵᱚᱥᱛᱟ ᱦᱩᱭᱩᱜ-ᱟ, ᱟᱨ ᱠᱷᱚᱵᱚᱨ ᱠᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱡᱤᱱᱤᱥ ᱟᱨ ᱢᱟᱨᱟᱝ ᱥᱠᱨᱤᱱ ᱨᱮ ᱦᱚᱸ ᱧᱮᱞᱚᱜ-ᱟ᱾
The Recognition
About the A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ
Baidu Safety Production ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Baidu Safety Production ᱯᱟᱭᱯᱞᱟᱭᱤᱱ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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.
- Team Members
- Qianle Wu
Juan Xiong
Xin Yang
Lu Han
Mingzhi Wang
Tingting Wang
Youping Yu
Feng Huang
Mingfa Zhu
Hong Cheng - 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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