A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

Liu, Chao; Vengayil, Hrishikesh; Lu, Yuqian; Xu, Xun

doi:10.1016/j.jmsy.2019.04.006

Cited by 186 publications

(51 citation statements)

References 39 publications

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“…Liu et al [12] present a shop floor decision-making support and cloud-based analytics provided in Cyber-Physical Machine Tool (CPMT) to improve the efficiency of machining tools and processes, feedback loops, and autonomous feedback control. A CPMT Platform based on OPC-UA and MTConnect demonstrates enabling interoperable data communication between different machine tools and software applications for a CNC machine.…”

Section: Definition Of Smart Manufacturing and Smart Factoriesmentioning

confidence: 99%

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

et al. 2020

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Purpose of Review This paper provides an overview of the role of humans and robots in smart factories, their connection to Industry 4.0, and which progress they make when it comes to related technologies. Recent Findings The current study shows that a decade was not enough to provide a reference implementation or application of Industry 4.0, like smart factories. In 2011, Industry 4.0 was mentioned for the first time in the scientific community. Industry 4.0 arrived with many new enabling technologies and buzzwords, e.g., Internet of Things (IoT), Cyber-Physical Systems (CPS), and Digital Twins (DT). Summary This paper first defines smart factories and smart manufacturing in relation to the role of humans and robots. Followed by an overview of selected technologies in smart factories. Concluded by future prospects and its' relation to smart manufacturing.

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Section: Definition Of Smart Manufacturing and Smart Factoriesmentioning

confidence: 99%

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

et al. 2020

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“…16 MTConnect and OPC-Unified Architecture (OPC-UA) are two communication protocols specifically designed for industrial automation. 17,18 MTConnect has been designed towards the Computer Numerical Control (CNC) machine shop with predefined data structures and rules whereas OPC-UA provides a more open user-defined variable structure which results in a wider scope of implementation. 19 OPC-UA has the capability to both receive and send information where MTConnect can only monitor.…”

Section: Introductionmentioning

confidence: 99%

Real-time vision-based multiple object tracking of a production process: Industrial digital twin case study

Ward

Soulatiantork

Finneran

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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The adoption of Industry 4.0 technologies within the manufacturing and process industries is widely accepted to have benefits for production cycles, increase system flexibility and give production managers more options on the production line through reconfigurable systems. A key enabler in Industry 4.0 technology is the rise in Cyber-Physical Systems (CPS) and Digital Twins (DTs). Both technologies connect the physical to the cyber world in order to generate smart manufacturing capabilities. State of the art research accurately describes the frameworks, challenges and advantages surrounding these technologies but fails to deliver on testbeds and case studies that can be used for development and validation. This research demonstrates a novel proof of concept Industry 4.0 production system which lays the foundations for future research in DT technologies, process optimisation and manufacturing data analytics. Using a connected system of commercial off-the-shelf cameras to retrofit a standard programmable logic controlled production process, a digital simulation is updated in real time to create the DT. The system can identify and accurately track the product through the production cycle whilst updating the DT in real-time. The implemented system is a lightweight, low cost, customable and scalable design solution which provides a testbed for practical Industry 4.0 research both for academic and industrial research purposes.

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“…As a possible solution of CPMT, [1] describes CPMT as the integration of machine tool, machining process, computation and network that permit machining process monitoring and control. In contrast, [2] describes CPMT as integrating machine tool with machining process in cyber-space through computation and networking ability to create CPS. With CPMT, machining performance and e ciency can be signi cantly improved.…”

Section: Introductionmentioning

confidence: 99%

“…Horizontal integration is the integration of machine tools with other manufacturing facilities and resources that include robots, conveyor, measurement devices, and others to realize a collaborative production system [2]. The critical requirement of horizontal integration of machine tool with other manufacturing facilities and resources is divided into three: rst, acquiring accurate and reliable information, secondly, data integration and communication capability, third, advanced human-machine interface.…”

Section: Introductionmentioning

confidence: 99%

A Case Study- Monitoring and Inspection Based on IoT for STEP-NC Data Model

Ahmad

Saif

Yusof³

et al. 2021

Preprint

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Cyber-Physical Machine Tools (CPMT) is currently recognized as a new generation of machine tools that align with Industry 4.0 needs as a smart, well connected, advanced accessibility, more adaptive and autonomous solution. It can be achieved through standardized design method and communication protocols. This article presents a case study on monitoring and inspection based on Internet of Things (IoT) for STEP-NC data model toward a CPMT. More specifically, the monitoring approach utilizing an IoT based monitoring architecture for machining process monitoring, while the inspection approach using a coordinate measuring machine for machined part inspection. The monitoring and inspection approaches can achieve high accuracy of machining process condition detection and enable measurement of machined parts to fulfil CPMT needs and I4.0. The case study validated that the developed monitoring approach performed well and was highly sensitive to any changes during the machining process, specifically on the tool condition. As per the inspection approach, the reliability of the machined model was 99.97%. Based on the results of both the approaches, it is confirmed that both tasks can be designed and support digital factory and other manufacturing process stages in the future such as preventive maintenance, inspecting, sizing, assembling, and others.

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A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

Cited by 186 publications

References 39 publications

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

Real-time vision-based multiple object tracking of a production process: Industrial digital twin case study

A Case Study- Monitoring and Inspection Based on IoT for STEP-NC Data Model

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