Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 ናይ ብሩር ሽልማት A' Design Award in ንድፊ ኢንተርፌስ፣ ምትእስሳርን ተመኲሮ ተጠቃምን Competition Category.
ብሩርኢንተርፌስ· 2023
Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ
Client: Baidu Online Network Technology (Beijing) Co., Ltd
ናይ ብሩር ሽልማት A' Design Award Winner in ኢንተርፌስ Category
Verified Award Winner
Verify Award Status for #148778The Design
About Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ
ባይዱ ሴፍቲ ፕሮዳክሽን (Baidu Safety Production) ንምፍታሽ መስመራት ቧንቧ ነዳድን ጋዝን ዝዓለመ መተሓላለፊ ገጽ እዩ። ሰብ-ሰርሖ ብልሒ ምስ ብልሓታውያን መሳርሒታት፣ ኢንዱስትሪያዊ ዓበይቲ ዳታ፣ ኤጅ ኮምፒዩቲንግ፣ ቴክኖሎጂ ዲጂታል መንታ (digital twin)፣ ኢንተርነት ናይ ነገራት (IoT)፣ ካርታ GISን 5Gን ተጠሚሩ ይሰርሕ። ኣብ ልዑል ሓደጋ ዘለዎም ቦታታት ብዘይ ሰብ ወይ ብውሑድ ሰብ ዝካየድ ምፍታሽ ከምዝከኣል ይገብር። ተግባራቱ ምልላይ ሓደጋታት ድሕነት፣ ኣውቶማቲክ ጸብጻብ ዘይንቡራት ፍጻመታት፣ ከምኡ'ውን ሰለስተ-ስፍሓታዊ ርሑቕ ክትትል ዘጠቓልል እዩ። ሮቦታትን መደባት ምፍታሽን ብኮምፒዩተራት ይመሓደሩ፣ ሓበሬታ ድማ ኣብ ተንቀሳቐስቲ መሳርሒታትን ዓበይቲ መርኣይታትን'ውን ይርአ።
The Recognition
About the ናይ ብሩር ሽልማት A' Design Award
Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ ናይ ብሩር ሽልማት A' Design Award ዝዓወተ እዩ፣ ንጽቡቓት፣ ልዑላትን ዘስደምምን ላዕለዋይ ደረጃ ዘለዎም ዲዛይናት ዝወሃብ ብዘይተለምደ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ብሩር ፍሉይ ክእለት፣ ተውህቦን ጥበብን ዲዛይነራቶም ዘርእዩ ኣዚዮም ዘብርሁን ብዙሕ ፈጠራውያንን ስራሕቲ እዮም። Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ ዝበለጸ፣ ምሳሌ ዝኾነ፣ ብኣገዳሲ መገዲ ሞያውን ብዕምቆት ሓድሽን ስራሕ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ብሩር ሽልማት A' Design Award ብዙሕ ዝተራእየን ዝደነቐን ፈጠራ እዩ፣ ጥቕሚ ዘምጽእን ደረት ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዘስፍሕን። Baidu Safety Production ናይ መስመር ቧንቧ ምፍታሽ መተሓላለፊ ገጽ ብብዙሕ ዝቐንኣሉ ፍጥረት እዩ፣ ድሌታት ዘበራብር፣ ጽቡቕ ስምዒታት ዘምጽእን ሰንቢድን ምድናቕን ዘበራብርን።
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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