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Baidu Safety Production Agrudem n Usenqed n Yiberdan n Uzdam sɣur Baidu AI Cloud

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

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Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #148778

Initen

Afeṣṣel

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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