Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows

Maritsch, Martin; Lesjak, Christian; Aldrian, Andreas

doi:10.1109/indin.2016.7819250

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…For this purpose a deployment procedure creating such trust has to be established. In this regard a deployment procedure based on a Dual-Interface Trust Anchor is proposed [20]. The application of such deployment procedure can be found in [21].…”

Section: B Securitymentioning

confidence: 99%

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Enabling IoT automation using local clouds

Delsing

Eliasson

Deventer

et al. 2016

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

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Abstract-Various forms of cloud computing principles and technologies are becoming important recently. This paper addresses cloud computing for automation and control applications. It's argued that the open Internet cloud idea has such limitations that its not appropriate for automation.Since automation is physically and geographically local, it is inevitable to introduce the concept of local automation clouds. It's here proposed that local automation clouds should be self contained an be able to execute the intended automation functionalities without any external resources. Thus providing a fence at the rim of the local cloud preventing any inbound or outbound communication. Such a local cloud provides possibilities to address key requirements of both todays and future automation solutions. Adding mechanisms for secure inter-cloud administration and data tranfere enables local automation cloud to meet IoT automation system requirements as: 1) Interoperability of a wide range of IoT and legacy devices 2) Automation requirement on latency guarantee/prediction for communication and control computations. 3) Scalability of automation systems enabling very large integrated automation systems 4) Security and related safety of automation systems 5) Ease of application engineering 6) Multi stakeholder integration and operations agility.How these requirements can be met in such a local automation cloud is discussed with references to proposed solutions. The local automation cloud concept is further verified for a compartment climate control application. The control application included an IoT controller, four IoT sensors and actuators, and a physical layer communication gateway. The gateway acted as host for local cloud core functionalities. The climate control application has successfully been implemented using the open source Arrowhead Framework and its supports for design and implementation of self contained local automation clouds.

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Section: B Securitymentioning

confidence: 99%

“…One is based on a gatekeeper concepts with a separate data path having some of its roots in the telecom industry, see [13], [39]. The other is based on the MQTT protocol and its broker concept, see [20].…”

Section: Scalabilitymentioning

confidence: 99%

Enabling IoT automation using local clouds

Delsing

Eliasson

Deventer

et al. 2016

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

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“…A variety of instruments is used to capture data on critical parameters required to analyze and predict degradation, reliability, and efficiency of machinery and equipment. The governance structure dimension of smart maintenance needs to address the responsibilities for predictive maintenance programs, sourcing technology solutions, and the data sets that will result from it (e.g., Kans and Galar 2017;Maritsch et al 2016). The different forms of responsibility can be allocated and shared in the network through a RACI matrix, as discussed by Wende (2007).…”

Section: Discussionmentioning

confidence: 99%

Identifying Maturity Dimensions for Smart Maintenance Management of Constructed Assets: A Multiple Case Study

Johannes

Voordijk

Adriaanse

et al. 2021

J. Constr. Eng. Manage.

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While smart maintenance is gaining popularity in professional engineering and construction management practice, little is known about the dimensions of its maturity. It is assumed that the complex networked environment of maintenance and the rise of data-driven methodologies require a different perspective on maintenance. This paper identifies maturity dimensions for smart maintenance of constructed assets that can be measured. A research design based on two opposite cases is used and data from multiple sources is collected in four embedded case studies in corporate facility management organizations. Through coding data in several cross-case analyses, a maturity framework is designed that is validated through expert consultation. The proposed smart maintenance maturity framework includes technological dimensions (e.g., tracking and tracing) as well as behavioral dimensions (e.g., culture). It presents a new and encompassing theoretical perspective on client leadership in digital construction, integrating innovation in both construction and maintenance supply networks.

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“…For engineering, management, and security purposes, a DeviceRegistry and a SystemRegistry (SW) are also provided. These registries enable the discovery of HW devices and their associated SW. For high-security applications, the HW must possess advanced security controllers to enable the two-way identification of the HW and associated SW [60].…”

Section: Interoperability Within the Local Cloudmentioning

confidence: 99%

Local Cloud Internet of Things Automation: Technology and Business Model Features of Distributed Internet of Things Automation Solutions

Delsing

2017

EEE Ind. Electron. Mag.

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he 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. High-level topics concerning today's production of goods and services include sustainability, flexibility, efficiency, and competitiveness. These, in turn, are driven by important societal issues, such as environmental sustainability, the availability of energ y a nd ot he r raw materials, and rapidly changing market trends. Several changes that address these topics in different ways are apparent. One change is the move from large monolithic organizations toward multistakeholder collaborations in which cooperation is fostered by market requirements. Another change is the immediate and continuous

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Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows

Cited by 6 publications

References 5 publications

Enabling IoT automation using local clouds

Enabling IoT automation using local clouds

Identifying Maturity Dimensions for Smart Maintenance Management of Constructed Assets: A Multiple Case Study

Local Cloud Internet of Things Automation: Technology and Business Model Features of Distributed Internet of Things Automation Solutions

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