Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli ītēchcopa Baidu AI Cloud

Tlanāhuatīlli Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli ītēchcopa Baidu AI Cloud cē cencā mahuizzō tēmacēhualōni īpan huēyi 2023 Mahuizolli A' Design Award Iztacteocuitlatl īpan Tlaixnamiquiliztli, Nenonotzaliztli ihuan Tlatequipanoliznemiliztli Tlachihchihualiztli Nēhuilīztli Tlamantli.

IztacteocuitlatlTlaixnamiquiliztli· 2023

Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli

īpal Baidu AI Cloud

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

Mahuizolli A' Design Award Iztacteocuitlatl Tēmacēhualōni īpan Tlaixnamiquiliztli Tlamantli

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Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #148778

Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli

Baidu Safety Production ce ixnextiliztli tlen motequitiltia inic motlachialtia tepozohtli campa panoa chiahuizatl ihuan poctli. In tlanemililiztepoztli (inteligencia artificial) mocentlalia ihuan tepoztlamantli tlamatini, huehyi tlanextiliztli tequitl, edge computing, digital twin tlamatiliztli, Internet of Things, GIS tlalixcopinaliztli ihuan 5G. Ica inin, hueliti mochihua tlatemoliztli in canin ahmo monequi tlacatl nozo zan tepitzin tlacatl, ipan ohuihcan tlalmeh. In itequiyo quipia: quiximatiz tlein hueliti tecocoz, quinahuatiz iciuhca intla itla ahmo cualli mochihua, ihuan tlachializtli huehca ica yei ixtlamatiliztli (3D). In tepozyolcameh (robots) ihuan tlatemoliztli tlanemililiztin momalhuia ipan computadoras, ihuan in tlanextiliztli noihqui monextia ipan mahuiztic tepoztlamantli ihuan huehyi ixnextiloni.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Iztacteocuitlatl

Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli ca in quicuic in Mahuizolli A' Design Award Iztacteocuitlatl, hueyi tlamahuizoliztli tlen momaca in huel yectli, tlanextic ihuan mahuiztic tlachihualli. In quicuicah Iztacteocuitlatl ca cenca cualli ihuan cenca yancuic tlachihualli in quinextia in tlamatiliztli, toltecayotl ihuan ixtlamatiliztli intlachihuanime. Ca quinequi in Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli ca cenca cualli, cenca motequiuhtia ihuan yancuic. Ni dizayno in quicuic Iztacteocuitlatl quihuelitia in toltecayotl, tlamatiliztli, dizayno ihuan teknolohia. Baidu Safety Production Tlachializtli Ixnextiliztli ipan Tepozohtli Tlatemoliztli quiyolchicahua in tlacah, quipaquiltia ihuan quitlamahuiztiltia.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: Robot, Large Screen, Android Mobile Device, Computer
Tōcāitl: System, Personal Safety, Artificial Intelligence, Social Services, Multi-Platform Interaction, User Experience
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: 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.
Tēquitl Ōhuitl: 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.
Calpolli Tlācah: Qianle Wu
Juan Xiong
Xin Yang
Lu Han
Mingzhi Wang
Tingting Wang
Youping Yu
Feng Huang
Mingfa Zhu
Hong Cheng
Īxiptla Tlanēxtīlli: Optional Image #4: Photographer Juan Xiong, illustration, 2022. Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2022.