| 1. |
- Colombo, Armando Walter, et al.
(författare)
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A 70-Year Industrial Electronics Society Evolution Through Industrial Revolutions : The Rise and Flourishing of Information and Communication Technologies
- 2021
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Ingår i: IEEE Industrial Electronics Magazine. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1932-4529 .- 1941-0115. ; 15:1, s. 115-126
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Tidskriftsartikel (refereegranskat)abstract
- The Industrial Revolution, which originally involved the change from an agrarian and handicraft economy to a market dominated by factory mechanization during the early 18th century, has profoundly shaped the world. It has progressed through four disruptive phases: Industry 1.0 through Industry 4.0. Industry 1.0 encompassed early automation, while Industry 2.0 began at the end of the 19th century, when enormous technological advances were made, such as mass production, electrification, and new modes of transportation. Industry 3.0 began during the 1970s, a decade that gave rise to the electronics, telecommunications, and computing that enable full automation and robotics. Industry 4.0 kicked off at the dawn of the third millennium, marked by the ubiquitous use of Internet technologies, which have radically transformed how people, society, and industry interact.
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| 2. |
- Dai, Wenbin, et al.
(författare)
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Industrial Edge Computing : Enabling Embedded Intelligence
- 2019
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Ingår i: IEEE Industrial Electronics Magazine. - : IEEE. - 1932-4529 .- 1941-0115. ; 13:4, s. 48-56
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Tidskriftsartikel (refereegranskat)abstract
- The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.
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| 3. |
- Dai, Wenbin, et al.
(författare)
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Synergies of Operation, Information, and Communication Technology for Solving New Societal and Industrial Challenges : Future Directions
- 2024
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Ingår i: IEEE Industrial Electronics Magazine. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1932-4529 .- 1941-0115.
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Tidskriftsartikel (refereegranskat)abstract
- The world is facing a series of new societal and industrial challenges, such as continuously increasing costs in food and energy supply and a short supply of skilled labor. To solve these new challenges, operation, information, and communication technology is entering a new era with more focus targeted to cost reduction and energy savings. In this article, how innovative technologies including virtualization, low-code development, digital twins, and industrial agents can support and impact digital and green transitions is analyzed. In addition, how these technologies will help the security and sustainability of future industrial automation systems is also discussed.
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| 4. |
- de Silva, Daswin, et al.
(författare)
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Toward Intelligent Industrial Informatics : A Review of Current Developments and Future Directions of Artificial Intelligence in Industrial Applications
- 2020
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Ingår i: IEEE Industrial Electronics Magazine. - : IEEE. - 1932-4529 .- 1941-0115. ; 14:2, s. 57-72
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Forskningsöversikt (refereegranskat)abstract
- Research, the universal pursuit of new knowledge, is embarking on a fresh journey into artificial intelligence (AI). Nature reports that AI arose nine places to the fourth-most popular search term and that search terms machine learning and deep learning appeared in the top 20 for the first time since 2018. It is pertinent for industrial informatics to embrace this renewed surge of interest in AI with a clear direction and purpose that engages scholars, practitioners, and professionals alike.
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| 5. |
- Delsing, Jerker
(författare)
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Local Cloud Internet of Things Automation : Technology and Business Model Features of Distributed Internet of Things Automation Solutions
- 2017
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Ingår i: IEEE Industrial Electronics Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 1932-4529 .- 1941-0115. ; 11:4, s. 8-21
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Tidskriftsartikel (refereegranskat)abstract
- The hype concerning digitalization is increasing the demand for new generations of automation systems. Concepts like Reference Architecture Model Industry 4.0 (RAMI 4.0) give us models but do not tell us how to facilitate actual implementations. This article discusses the transition from legacy automation technology as defined by ISA-95 to highly distributed Internet of Things (IoT)- and system of systems (SoS)- based automation systems that fully utilize Internet technologies, thus enabling the implementation of Industry 4.0 and RAMI 4.0 models. Distributed IoT automation systems have a number of general requirements concerning real-time performance, security, engineering cost, scalability, and interoperability. Meeting these requirements is necessary to enable possibilities for a realworld implementation of IoT automation. A key concept is local automation clouds. The discussion is based on a particular example of such an automation integration platform, the Arrowhead Framework.
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| 6. |
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| 7. |
- Grimaldi, Simone, et al.
(författare)
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Autonomous Interference Mapping for Industrial Internet of Things Networks Over Unlicensed Bands : Identifying Cross-Technology Interference
- 2021
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Ingår i: IEEE Industrial Electronics Magazine. - 1932-4529 .- 1941-0115. ; 15:1, s. 67-78
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The limited coexistence capabilities of current Internet of Things (IoT) wireless standards produce inefficient spectrum utilization and mutual performance impairment. The problem becomes critical in industrial IoT (IIoT) applications, which have stringent quality-of-service (QoS) requirements and very low error tolerance. The constant growth of wireless applications over unlicensed bands mandates then the adoption of dynamic spectrum-access techniques, which can significantly benefit from interference mapping over multiple dimensions of the radio space. In this article, we analyze the critical role of real-time interference detection and classification mechanisms that rely on only IIoT devices, without the added complexity of specialized hardware. The tradeoffs between classification performance and feasibility are analyzed in connection with the implementation on low-complexity IIoT devices. Moreover, we explain how to use such mechanisms for enabling IIoT networks to construct and maintain multidimensional interference maps at runtime in an autonomous fashion. Finally, we give an overview of the opportunities and challenges of using interference maps to enhance the performance of IIoT networks under interference.
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| 8. |
- Han, Weiji, 1987, et al.
(författare)
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Next-Generation Battery Management Systems: Dynamic Reconfiguration
- 2020
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Ingår i: IEEE Industrial Electronics Magazine. - 1941-0115 .- 1932-4529. ; 14:4, s. 20-31
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Tidskriftsartikel (refereegranskat)abstract
- Batteries are widely applied to the energy storage and power supply in portable electronics, transportation, power systems, communication networks, etc. They are particularly demanded in the emerging technologies of vehicle electrification and renewable energy integration for a green and sustainable society. To meet various voltage, power, and energy requirements in large-scale applications, multiple battery cells have to be connected in series and/or parallel. While battery technology has advanced significantly in the past decade, existing battery management systems (BMSs) mainly focus on state monitoring and control of battery systems packed in fixed configurations. In fixed configurations, though, the battery system performance is in principle limited by the weakest cells, which can leave large parts severely underutilized. Allowing dynamic reconfiguration of battery cells, on the other hand, allows individual and flexible manipulation of the battery system at cell, module, and pack levels, which may open up a new paradigm for battery management. Following this trend, this paper provides an overview of next-generation BMSs featuring dynamic reconfiguration. Motivated by numerous potential benefits of reconfigurable battery systems (RBSs), the hardware designs, management principles, and optimization algorithms for RBSs are sequentially and systematically discussed. Theoretical and practical challenges during the design and implementation of RBSs are highlighted in the end to stimulate future research and development.
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| 9. |
- Hellström, Henrik, et al.
(författare)
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Software-Defined Wireless Communication for Industrial Control : A Realistic Approach
- 2019
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Ingår i: IEEE Industrial Electronics Magazine. - : Institute of Electrical and Electronics Engineers Inc.. - 1932-4529 .- 1941-0115. ; 13:4, s. 31-37
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Tidskriftsartikel (refereegranskat)abstract
- Wireless communication for industrial applications of fers multiple advantages over traditional wired communicat ion, such a s reduced installation and maintenance costs, increased flexibility, and better suitability for harsh conditions and mobile environments. However, many industrial applications feature high-performance requirements for latency and reliability, challenges which are difficult are to meet over the wireless channel. Currently available wireless technologies struggle to achieve these requirements, leaving a gap between industry demands and state-of-the-art performance. To close this gap, traditional solutions that rely on general-purpose chipsets could be replaced with dedicated solutions for industrial applications. In this article, we discuss the feasibility of designing an industrial wireless solution based on software-defined radio (SDR), the obtained results, and the role of softwarization in the future of industrial communication.
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