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Baidu Safety Production Entèfas Enspeksyon Tiyo pa Baidu AI Cloud

Dizayn Baidu Safety Production Entèfas Enspeksyon Tiyo pa Baidu AI Cloud se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2023 A' Design Award Ajan nan Kategori Konpetisyon Entèfas.


AjanEntèfas· 2023

Baidu Safety Production Entèfas Enspeksyon Tiyo

pa Baidu AI Cloud

Kliyan: Baidu Online Network Technology (Beijing) Co., Ltd

Gayan A' Design Award Ajan nan Kategori Entèfas

54,830

Koulè

Konsepsyon an

Konsènan Baidu Safety Production Entèfas Enspeksyon Tiyo

Baidu Safety Production se yon entèfas pou enspeksyon tiyo lwil ak gaz. Entèlijans atifisyèl konbine ak aparèy entèlijan, gwo done endistriyèl, kalkil nan pwent rezo a (edge computing), teknoloji marasa dijital, Entènèt Bagay yo (IoT), katografi GIS ak 5G. Enspeksyon san moun oswa ak yon minimòm moun vin posib nan zòn ki gen gwo risk. Fonksyon yo gen ladan idantifikasyon risk sekirite, rapò otomatik sou evènman anòmal ak siveyans a distans an twa dimansyon. Robo yo ak plan enspeksyon yo jere sou òdinatè, epi enfòmasyon yo parèt tou sou aparèy mobil ak gwo ekran.

Rekonesans lan

Konsènan A' Design Award Ajan

Baidu Safety Production Entèfas Enspeksyon Tiyo se yon ganyan A' Design Award Ajan, yon rekonesans ki gen yon prestij enmans yo bay design nivo siperyè, bèl anpil e enpresyonan. Ganyan Ajan yo se travay ki trè briyan e ki trè kreyatif ki montre ekspètiz, talan ak finès designer yo. Yo atann Baidu Safety Production Entèfas Enspeksyon Tiyo pou se yon bèl travay modèl, remakab nan pwofesyonalis e ki gen gwo inovasyon. Design sa a ki ganyen A' Design Award Ajan se yon envansyon trè remakab, admire ki pote benefis e ki pouse limit atizay, syans, design ak teknoloji. Baidu Safety Production Entèfas Enspeksyon Tiyo se yon kreyasyon anpil moun jalou ki reveye dezi, ki pote santiman pozitif e ki limen sipriz ak mèvèy.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik
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.
Dimansyon & Anbalaj
Robot, Large Screen, Android Mobile Device, Computer
Etikèt
System, Personal Safety, Artificial Intelligence, Social Services, Multi-Platform Interaction, User Experience
Teknoloji Pwodiksyon
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.
Defi Dizayn
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.
Rechèch
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.
Enspirasyon
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.
Dire Pwojè
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.
Fliks Operasyon
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.
Manm Ekip
Qianle Wu
Juan Xiong
Xin Yang
Lu Han
Mingzhi Wang
Tingting Wang
Youping Yu
Feng Huang
Mingfa Zhu
Hong Cheng
Kredi Imaj
Optional Image #4: Photographer Juan Xiong, illustration, 2022. Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2022.

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