Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam sɣur Baidu AI Cloud d anerbaz yettwaqadren meqqren n 2023 Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Tnaflit n Afeṣṣel n Ugrudem, Amyigaw d Tarmit n Useqdac.
LfeṭṭaAgrudem· 2023
Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam
sɣur Baidu AI Cloud
Amsaɣ: Baidu Online Network Technology (Beijing) Co., Ltd
Anerbaz n Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Agrudem
Anerbaz n Urraz Yettwasenqden
Senqed Addad n Urraz i #148778Afeṣṣel
Ɣef Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam
Baidu Safety Production d agrudem n usenqed n yiberdan n uzdam n upitrul d wurrig. Tigzi tamguravt tedduklet d yibenkan imgurvanen, isefka imeqqranen n temguri, asiḍen n leryuf, tatiknulujit n ukniw umḍin, Internet n tɣawsiwin, tikartin GIS akked 5G. Asenqed war amdan neɣ s wemdan drus yuɣal d ayen izemren ad yili deg wannaren anda llan waṭas n yimihiten. Gar twuriwin-is: tifin n yimihiten n tɣellist, aneqqis awurman n yineḍruyen ur nelli d imagnuyen akked uɛessi seg lebɛid s kraḍ n tsektiwin. Iṛubuten d yiɣawasen n usenqed ttwaseddayen ɣef yiselkimen, ma d talɣut tettwaskan daɣen ɣef yibenkan iziregranen d yigdilen imeqqranen.
Asmekti
Ɣef Tarbaḥt A' Design Award n Lfeṭṭa
Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam d amerbaḥ n Tarbaḥt A' Design Award n Lfeṭṭa, tagmat ɛlayen i yisnulfa yelhan, yeḥlan s waṭas. Imerbaḥen n Lfeṭṭa d isnulfa yelhan akk, yesɛan tmusni d tazmert. Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam ad yili d asnulfu amaynut, yelhan, ad yeǧǧ ddunit tennuɣ.
Deffir n ufeṣṣel
Tagrurt n tɣamsa
Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.
- Taɣara Tasuft
- 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.
- Tigejdiwin & Akemmus
- Robot, Large Screen, Android Mobile Device, Computer
- Tibzimin
- System, Personal Safety, Artificial Intelligence, Social Services, Multi-Platform Interaction, User Experience
- Tasnakta n Ufares
- 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.
- Asewḥel n Usnulfu
- 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.
- Anadi
- 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.
- Aseḥbiber
- 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.
- Tanzagt n Usenfar
- 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.
- Tanila n Umahil
- 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.
- Igmamen n Terbaɛt
- Qianle Wu
Juan Xiong
Xin Yang
Lu Han
Mingzhi Wang
Tingting Wang
Youping Yu
Feng Huang
Mingfa Zhu
Hong Cheng - Imsuren n Tugniwin
- Optional Image #4: Photographer Juan Xiong, illustration, 2022. Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2022.
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