The application of open access middleware for cooperation among heterogeneous manufacturing systems

Arnarson, Halldor; Solvang, Bjørn; Shu, Beibei

doi:10.1109/sims49386.2020.9121537

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…Distributed service processing middleware also plays an important role in facilitating and managing interactions between different services and components so that they can operate consistently in a distributed environment. Middleware abstracts the details of where a component or service is running [35], [36], meaning that clients do not need to know a specific location within the distributed system when trying to access a service. Middleware also provides mechanisms to handle concurrent access, ensuring data consistency and integrity [37].…”

Section: Distributed Service Processing Middlewarementioning

confidence: 99%

RMPF: Real-Time Message Processing Framework on Multi-Service Domains

Kim,

Han,

Jeong

2024

IEEE Access

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In the world of real-time computing, there is a demand for platforms that deliver both speed and efficiency while conserving hardware resources. High reliability applications typically use dedicated platforms for their inherent reliability, but they are more expensive. On the other hand, traditional generalpurpose platforms are cheaper but suffer from wasted hardware resources when processing messages, hindering distributed processing and process monitoring. To address these limitations, this paper presents the Real-time Message Processing Framework on Multi-service Domains (RMPF), an innovative integrated platform for real-time distributed message processing on multi-service domains. The platform supports a scalable and flexible multi-layer architecture by providing modularity that allows each layer to be designed and updated independently. The interaction between each layer enables real-time distributed message processing and distributed management of multi-service processing in a city-main based, high-speed distributed environment. By accelerating message processing, using a dedicated buffer pool created for each application process, and monitoring the status of all messages in the buffer, the high reliability inherent in dedicated platforms is ensured. In addition, it minimizes the waste of hardware resources by running application processes as daemons in buffer pools. In particular, to provide domain-based multiservice, it supports RMPF grouping by task to distribute tasks to appropriate domains to eliminate system bottlenecks. It is also implemented in a modular way to achieve both scalability and adaptability through various multiservice distributed management schemes such as multiservice API, recovery, monitoring, and multiservice provisioning.INDEX TERMS Multi service, distributed message processing, unified platform, memory management, multi domain.

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Section: Distributed Service Processing Middlewarementioning

confidence: 99%

RMPF: Real-Time Message Processing Framework on Multi-Service Domains

Kim,

Han,

Jeong

2024

IEEE Access

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“…AIMMs are usually made to work remotely and wireless, and should be able to communicate with other machines as well as human operators [24]. In our previous project [25], all robot arms and mobile robots were connected to the Open Platform Communications Unified Architecture (OPC UA). The OPC UA Standard [26] is an open-source industrial information server.…”

Section: Iot Systemmentioning

confidence: 99%

Reconfigurable autonomous industrial mobile manipulator system

Arnarson

Solvang

2022

2022 IEEE/SICE International Symposium on System Integration (SII)

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The manufacturing industry is moving from mass production towards more personalized products through mass customization. In order to adapt factories should be highly flexible and rapidly able to adjust their operations.The new technologies and concepts in industry 4.0 are important in the transition from mass-to flexible and personalized manufacturing systems. One such specific tool for increased flexibility is the introduction of an Autonomous Industrial Mobile Manipulator (AIMM). The AIMM provides mobility with its mobile part and increased flexibility and functionality with the robot arm. However, a disadvantage with AIMM systems is that when the mobile robot is moving the robot arm cannot work; when the robot arm is working, the mobile robot cannot drive. This creates downtime for both the mobile robot and the robot arm.In this paper, we will look at how an AIMM can be divided into two parts for increased utilization of the mobile part and robot arm of the AIMM. Our approach is to physically divide the system into two parts, one with the mobile robot and a second with the robot arm on a trolley. In this case, the mobile robot can transport the robot arm, detach from the robot arm and perform other tasks while the robot arm is working at its new location.

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