Industrial Cloud Automation for Interconnected Factories

2019 ◽  
pp. 958-972 ◽  
Author(s):  
Lamine Chalal ◽  
Allal Saadane ◽  
Ahmed Rhiat
Keyword(s):  
Cloud Automation ◽  
Industrial Cloud

Parallel Scheduling of Large-Scale Tasks for Industrial Cloud-Edge Collaboration

2021 ◽  
pp. 1-1
Author(s):  
Yuanjun Laili ◽  
Fuqiang Guo ◽  
Lei Ren ◽  
Xiang Li ◽  
Yulin Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Parallel Scheduling ◽  
Industrial Cloud

scholarly journals From Iron to the Industrial Cloud

2020 ◽  
Vol 57 (1) ◽  
pp. 93-107
Author(s):  
João Pedro Santos
Keyword(s):  
Heavy Industry ◽  
Industrial City ◽  
Economic Production ◽  
Rapid Industrialization ◽  
The 1960S ◽  
The City ◽  
Depth Interviews ◽  
Industrial Cloud ◽  
Shipyard Workers

In the 1960s, Portugal lived through a period of rapid industrialization in what became known as the golden cycle of Portuguese industry. This late industrialization makes Portugal one of the countries ruled by a peripheral Fordism, which is particularly relevant in the region of Setúbal, since several heavy industry companies settled there, among them Setenave and Lisnave. These shipyards are described by workers as being “a city within the city” mostly given their dimension and labour contingent. However, this industrial “city” was more than a place of economic production; it was also a place for sociability. Informed by semi-structured in-depth interviews with former shipyard workers, and focused on the meaning they attribute to the changes experienced between the 1970s and the deindustrialization period of the 1980s, this article analyses the transition from a working culture based on solidarity to a culture dominated by competition and individualism.

Knowledge Sharing and Evolution of Industrial Cloud Robotics

2018 ◽  
Author(s):  
Lixue Jin ◽  
Wenjun Xu ◽  
Zhihao Liu ◽  
Junwei Yan ◽  
Zude Zhou ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Resource Sharing ◽  
Industrial Robot ◽  
Cloud Service ◽  
Semantic Knowledge ◽  
Industrial Robots ◽  
Online Data ◽  
Knowledge Evolution ◽  
Cloud Robotics ◽  
Industrial Cloud

Industrial Cloud Robotics (ICR), with the characteristics of resource sharing, lower cost and convenient access, etc., can realize the knowledge interaction and coordination among cloud Robotics (CR) through the knowledge sharing mechanism. However, the current researches mainly focus on the knowledge sharing of service-oriented robots and the knowledge updating of a single robot. The interaction and collaboration among robots in a cloud environment still have challenges, such as the improper updating of knowledge, the inconvenience of online data processing and the inflexibility of sharing mechanism. In addition, the industrial robot (IR) also lacks a well-developed knowledge management framework in order to facilitate the knowledge evolution of industrial robots. In this paper, a knowledge evolution mechanism of ICR based on the approach of knowledge acquisition - interactive sharing - iterative updating is established, and a novel architecture of ICR knowledge sharing is also developed. Moreover, the semantic knowledge in the robot system can encapsulate knowledge of manufacturing tasks, robot model and scheme decision into the cloud manufacturing process. As new manufacturing tasks arrived, the robot platform downloads task-oriented knowledge models from the cloud service platform, and then selects the optimal service composition and updates the cloud knowledge by simulation iterations. Finally, the feasibility and effectiveness of the proposed architecture and approaches are demonstrated through the case studies.

Digital twin-based industrial cloud robotics: Framework, control approach and implementation

2020 ◽  
Author(s):  
Wenjun Xu ◽  
Jia Cui ◽  
Lan Li ◽  
Bitao Yao ◽  
Sisi Tian ◽  
...  
Keyword(s):  
Control Approach ◽  
Digital Twin ◽  
Cloud Robotics ◽  
Industrial Cloud

Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application

2019 ◽  
Author(s):  
Yizhe Zhang ◽  
Lianjun Li ◽  
Jorge Nicho ◽  
Michael Ripperger ◽  
Andrea Fumagalli ◽  
...  
Keyword(s):  
Cloud Robotics ◽  
Industrial Cloud

scholarly journals Collaborative Optimization of Service Scheduling for Industrial Cloud Robotics Based on Knowledge Sharing

Procedia CIRP ◽  
2019 ◽  
Vol 83 ◽  
pp. 132-138 ◽  
Author(s):  
Hang Du ◽  
Wenjun Xu ◽  
Bitao Yao ◽  
Zude Zhou ◽  
Yang Hu
Keyword(s):  
Knowledge Sharing ◽  
Collaborative Optimization ◽  
Service Scheduling ◽  
Cloud Robotics ◽  
Industrial Cloud

scholarly journals Review on Cloud Automation Tools

2020 ◽  
Vol V9 (05) ◽  
Author(s):  
Varsha C L ◽  
Dr. Ashok Kumar A R ◽  
Keyword(s):  
Automation Tools ◽  
Cloud Automation

Digital Twin-Based Control Approach for Industrial Cloud Robotics

2019 ◽  
Author(s):  
Lan Li ◽  
Wenjun Xu ◽  
Zhihao Liu ◽  
Bitao Yao ◽  
Zude Zhou ◽  
...  
Keyword(s):  
Intelligent Agents ◽  
Effective Means ◽  
Physical World ◽  
Cloud Services ◽  
Industrial Robots ◽  
Control Approach ◽  
Digital Twin ◽  
Digital World ◽  
Cloud Robotics ◽  
Industrial Cloud

Abstract Industrial robots can be mechanical intelligent agents by integrating programs, intelligent algorithms and facilitating intelligent manufacturing models from cyber world into physical entities. After introducing the concept of cloud, their storage, computing, knowledge sharing and evolution capabilities are further strengthened. Digital twin is an effective means to achieve the fusion of physics and information. Therefore, it is feasible to introduce the digital twin to the industrial cloud robotics (ICR), in order to facilitate the control optimization of robots’ running state. The traditional manufacturing task-oriented service composition is limited to execution in the cloud, and it is separated from the underlying robot equipment control, which greatly reduces the real-time performance and accuracy of the underlying service response, such as Robotic Control as a Cloud Service (RCaaCS). Therefore, this paper proposes a digital twin-based control approach for ICR. At the manufacturing cell level, robots’ control instruction service modeling is conducted, and then the control service in the digital world is mapped to the robot action control in the physical world through the concept of digital twin. The accumulated operational data in the physical world can be fed back to the digital world as a reference for simulation and control strategy adjustment, finally achieving the integration of cloud services and robot control. A case study based on workpiece disassembly is presented to verify the availability and effectiveness of the proposed control approach.

scholarly journals A REVIEW OF EXISTING CLOUD AUTOMATION TOOLS

2017 ◽  
Vol 10 (13) ◽  
pp. 471
Author(s):  
Prassanna J ◽  
Anjali R Pawar ◽  
Neelanarayanan V
Keyword(s):  
Distributed Systems ◽  
Capital Expenditure ◽  
Distributed Applications ◽  
Human Power ◽  
Automation Tools ◽  
Cloud Automation

Many enterprises are running distributed applications on their on-premise servers. However, if load on those servers changes unexpectedly, then itbecomes tedious to scale the resources and requires skilled human power to manage such situations. It may increase the capital expenditure. Hence,many companies have started to migrate their on-premise applications to the cloud. This migration of the applications to the cloud is one of the majorchallenges. To setup and manage the growing complex infrastructure, after migrating these applications to the cloud are really a time-consuming andtedious process which results in downtime. Hence, we need to automate this environment. To achieve architecture for the distributed systems whichsupport security, repeatability, reliability, and scalability, we require some cloud automation tools. This paper summarizes tools such as Terraform andcloud formation for infrastructure automation and Docker and Habitat for application automation.

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