Industrial Field Autonomous Systems: AI-assisted Distributed Applications at Edge

被引：0
|
作者：
Fourastier, Y. [1 ]
Baron, C. [1 ]
Chaouchi, H. [2 ]
Thomas, C. [3 ]
Esteban, P. [1 ]
Lehonov, V [4 ]
Smet, J-P [5 ]
机构：
[1] Univ Toulouse, INSA, LAAS CNRS, 7 Ave Colonel Roche, F-31200 Toulouse, France
[2] IMT Telecom SudParis, 9 Rue Charles Fourier, F-91011 Evry, France
[3] HTW Berlin, Treskowalee 8, D-10318 Berlin, Germany
[4] Odessa Natl Acad, MiRoNAFT Lab, Kanatnaya St 12, UA-65039 Odessa, Ukraine
[5] Nexedi SAS, 147 Rue Ballon, F-59110 La Madeleine, France
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE, ASPAI' 2020 | 2020年
关键词：
Artificial intelligence; Industrial edge computing; State of the art; Cyber-physical system; Edge virtual operating system; Safety; Assurance engineering; Industry cases; Swarm processing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Complex industrial systems are increasingly software driven, rapidly evolving into autonomous, self-adaptive processing at industrial field. Artificial intelligence technologies are spreading fast at industrial Edge, improving the industrial operations efficiency. However Edge computing systems involving artificial intelligence must also continuously ensure the safe operations. This paper assesses the state of the art of cognitive technologies with their relevance for artificial intelligence implementation at industrial safety critical systems. It introduces then a state of the art for artificial intelligence safety assurance practices. Implementation at the industrial application stack is illustrated with the edge virtual operating system that operates the industrial fog. Edge operating system is evolving fast as kind of an AI intensive software. Industrial developments are illustrated with Slap OS, real case examples of swarm computing and advanced robotic.
引用
收藏
页码：201 / 203
页数：3
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