Function Block-Based Integration Mechanisms for Adaptive and Flexible Cloud Manufacturing

Author(s):  
Xi Vincent Wang ◽  
Lihui Wang

Cloud Computing is the new enabling technology that offers centralised computing, flexible data storage, and scalable services. In the manufacturing context, it is possible to extend the Cloud technology for integrating and provisioning manufacturing facilities and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to integrate various types of manufacturing facilities. A Cloud-based architecture is also deployed to provide a service pool which maintains these facilities in terms of manufacturing services. The proposed framework and mechanisms are evaluated by implementations. In practice, it is possible to establish an integrated manufacturing environment across multiple levels with the support of manufacturing Cloud and function blocks. It provides a flexible architecture as well as adaptive and integration methodologies for the Cloud manufacturing system.

2013 ◽  
Vol 694-697 ◽  
pp. 2438-2441 ◽  
Author(s):  
Xi Vincent Wang ◽  
Xun W Xu

CManufacturing is a new manufacturing model that has evolved from Service-Oriented Architecture, networked manufacturing and CComputing. It provides intelligent, interoperable and distributed manufacturing model for the industry. This paper introduces a resource integration mechanism in the Cloud Manufacturing environment. Function Block technology is discussed from the Cloud Manufacturing perspective in detail. Next, a novel integration mechanism is proposed, namely the Virtual Function Block. Based on physical Function Blocks and software agents, Virtual Function Blocks are able to manipulate and integrate manufacturing resources via event states and data flows. During implementation, Creo Parametric was integrated as a Cloud Service with the help of VFBs to evaluate the mechanism.


Author(s):  
Sichao Liu ◽  
Lihui Wang ◽  
Xi Vincent Wang

AbstractIn human–robot collaborative assembly, robots are often required to dynamically change their preplanned tasks to collaborate with human operators in close proximity. One essential requirement of such an environment is enhanced flexibility and adaptability, as well as reduced effort on the conventional (re)programming of robots, especially for complex assembly tasks. However, the robots used today are controlled by rigid native codes that cannot support efficient human–robot collaboration. To solve such challenges, this article presents a novel function block-enabled multimodal control approach for symbiotic human–robot collaborative assembly. Within the context, event-driven function blocks as reusable functional modules embedded with smart algorithms are used for the encapsulation of assembly feature-based tasks/processes and control commands that are transferred to the controller of robots for execution. Then, multimodal control commands in the form of sensorless haptics, gestures, and voices serve as the inputs of the function blocks to trigger task execution and human-centered robot control within a safe human–robot collaborative environment. Finally, the performed processes of the method are experimentally validated by a case study in an assembly work cell on assisting the operator during the collaborative assembly. This unique combination facilitates programming-free robot control and the implementation of the multimodal symbiotic human–robot collaborative assembly with the enhanced adaptability and flexibility.


Author(s):  
Xun Xu

Function blocks are an IEC (International Electro-technical Commission) standard for distributed industrial processes and control systems (IEC 61499, 2005). It is based on an explicit event driven model and provides for data flow and finite state automata-based control. Based on previous research, function blocks can be used as the enabler to encapsulate process plans, integrate with a third-party dynamic scheduling system, monitor process plan during execution, and control machining jobs under normal and abnormal conditions. They are also considered to be suitable for machine-level monitoring, shop-floor execution control, and CNC control. Combination of STEP-NC and Function Blocks can be seen as a “natural marriage”. This is because the former provides an informationally complete data model but with no functionality, whereas the latter can embed intelligence and provide functionality in the data model for a more capable CNC regime. This chapter introduces the function block architecture which has been implemented in two types of integrations. The first brings together CAD, CAPP, and CAM. The key is to embed machining information in a function block system that is based on the concept of machining features. The second integration connects CAM with CNC. This is in fact an open CNC architecture that is function block driven, instead of G-code driven.


2012 ◽  
Vol 229-231 ◽  
pp. 2365-2369 ◽  
Author(s):  
D.M. Elias ◽  
Y. Yusof ◽  
Mohammad Minhat

The Function Block Development Kit (FBDK) platform proposed for STEP-NC controller architecture . It can be used to create an open CNC architecture on ISO 14649 and Function Block (IEC 61499). This offers interoperability, portability, and adaptability. The proposed framework consists of three main modules: (1) STEP-NC Interface, (2) Simulator, and (3) Communication. The system will be implemented in CNC controller on actual milling machine. It will simplify the design of CNC machine controller with the architecture layers responsible for data processing, data storage, execution and feedback. This paper also discusses towards the requirements for global interoperable manufacturing for real-life machining system with the architecture layers responsible for data storage, data processing, and execution.


Author(s):  
Lihui Wang ◽  
Hsi-Yung Feng ◽  
Changjin Song ◽  
Wei Jin

Small volume and high product-mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tool, and even machine breakdown. Targeting the uncertainty, we propose a function block based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.


Genetics ◽  
2002 ◽  
Vol 162 (4) ◽  
pp. 1617-1630
Author(s):  
Leonard Duncan ◽  
Kristine Bouckaert ◽  
Fay Yeh ◽  
David L Kirk

Abstract Retrotransposons play an important role in the evolution of genomic structure and function. Here we report on the characterization of a novel retrotransposon called kangaroo from the multicellular green alga, Volvox carteri. kangaroo elements are highly mobile and their expression is developmentally regulated. They probably integrate via double-stranded, closed-circle DNA intermediates through the action of an encoded recombinase related to the λ-site-specific integrase. Phylogenetic analysis indicates that kangaroo elements are closely related to other unorthodox retrotransposons including PAT (from a nematode), DIRS-1 (from Dictyostelium), and DrDIRS1 (from zebrafish). PAT and kangaroo both contain split direct repeat (SDR) termini, and here we show that DIRS-1 and DrDIRS1 elements contain terminal features structurally related to SDRs. Thus, these mobile elements appear to define a third class of retrotransposons (the DIRS1 group) that are unified by common structural features, genes, and integration mechanisms, all of which differ from those of LTR and conventional non-LTR retrotransposons.


2021 ◽  
Vol 11 (2) ◽  
pp. 807
Author(s):  
Llanos Tobarra ◽  
Alejandro Utrilla ◽  
Antonio Robles-Gómez ◽  
Rafael Pastor-Vargas ◽  
Roberto Hernández

The employment of modern technologies is widespread in our society, so the inclusion of practical activities for education has become essential and useful at the same time. These activities are more noticeable in Engineering, in areas such as cybersecurity, data science, artificial intelligence, etc. Additionally, these activities acquire even more relevance with a distance education methodology, as our case is. The inclusion of these practical activities has clear advantages, such as (1) promoting critical thinking and (2) improving students’ abilities and skills for their professional careers. There are several options, such as the use of remote and virtual laboratories, virtual reality and game-based platforms, among others. This work addresses the development of a new cloud game-based educational platform, which defines a modular and flexible architecture (using light containers). This architecture provides interactive and monitoring services and data storage in a transparent way. The platform uses gamification to integrate the game as part of the instructional process. The CyberScratch project is a particular implementation of this architecture focused on cybersecurity game-based activities. The data privacy management is a critical issue for these kinds of platforms, so the architecture is designed with this feature integrated in the platform components. To achieve this goal, we first focus on all the privacy aspects for the data generated by our cloud game-based platform, by considering the European legal context for data privacy following GDPR and ISO/IEC TR 20748-1:2016 recommendations for Learning Analytics (LA). Our second objective is to provide implementation guidelines for efficient data privacy management for our cloud game-based educative platform. All these contributions are not found in current related works. The CyberScratch project, which was approved by UNED for the year 2020, considers using the xAPI standard for data handling and services for the game editor, game engine and game monitor modules of CyberScratch. Therefore, apart from considering GDPR privacy and LA recommendations, our cloud game-based architecture covers all phases from game creation to the final users’ interactions with the game.


Author(s):  
Xi Vincent Wang ◽  
Lihui Wang

In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.


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