A Survey of Industrial Internet of Things in the Field of Fluid Power: Basic Concept and Requirements for Plug-and-Produce

2018 ◽  
Author(s):  
Raphael Alt ◽  
Justus Malzahn ◽  
Hubertus Murrenhoff ◽  
Katharina Schmitz
Keyword(s):  
Internet Of Things ◽  
Intelligent Systems ◽  
Product Life Cycle ◽  
Business Models ◽  
Fluid Power ◽  
Hydraulic Actuator ◽  
Industrial Internet Of Things ◽  
Plug And Play ◽  
Industrial Internet ◽  
Production Industry

Driving aspects in the developments of the Industrial Internet of Things (IIoT) are based on markets demanding a highly flexible production on the one hand and, on the other hand, by the production industry looking for new business models. This is enabled by interconnecting intelligent devices and aggregating and analyzing huge amounts of data. In the section of field devices, targeted new developments are dealing with intelligent systems which support users in each stage of the product life cycle. During installation and commissioning of a new machine, the concept of Plug-and-Produce has been created in the production industry. It is relating to the analogy of Plug-and-Play in the field of information technology which makes it possible to recognize and use devices without additional effort across several platforms. Industrial production systems differ in some aspects from Plug-and-Play computer devices that these methods are not applicable without adjustments and more advanced considerations. Solutions to support the commissioning process are scope of this contribution and analyzed theoretically by the example of the integration of an electro-hydraulic actuator. Two results are highlighted in this contribution. Different IIoT related concepts and technologies (i.e. OPC-UA, Cyber-physical systems, semantics) are presented and merged to realize Plug-and-Produce as an holistic business process. Furthermore, the draft combines the domain of fluid power with the abstract and generalized concepts and models and gives an understanding of future requirements for fluid power field devices in the context of IIoT.

scholarly journals Security Issues and Software Updates Management in the Industrial Internet of Things (IIoT) Era

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7160
Author(s):  
Imanol Mugarza ◽  
Jose Luis Flores ◽  
Jose Luis Montero
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Service Providers ◽  
Leading Edge ◽  
Cyber Attacks ◽  
Industrial Internet Of Things ◽  
Safety Standards ◽  
Security Issues ◽  
Industrial Internet ◽  
Software Updates

New generation Industrial Automation and Control Systems (IACS) are providing advanced connectivity features, enabling new automation applications, services and business models in the Industrial Internet of Things (IIoT) era. Nevertheless, due to the extended attack surface and increasing number of cyber-attacks against industrial equipment, security concerns arise. Hence, these systems should provide enough protection and resiliency against cyber-attacks throughout their entire lifespan, which, in the case of industrial systems, may last several decades. A sound and complete management of security issues and software updates is fundamental to achieve such goal, since leading-edge security countermeasures implemented in the development phase may eventually become out-of-date. In this article, a review of the IEC 62443 industrial security standard concerning the security maintenance of IIoT systems and components is given, along with guidelines for the implementation of such processes. As concluded, the security issues and software updates management shall jointly be addressed by the asset owner, service providers and product suppliers. These security processes should also be compatible with the safety procedures established by safety standards.

scholarly journals Agile Service Engineering in the Industrial Internet of Things

2018 ◽  
Vol 10 (10) ◽  
pp. 100 ◽  
Author(s):  
Thomas Usländer ◽  
Thomas Batz
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Smart Manufacturing ◽  
Interaction Patterns ◽  
Functional Requirements ◽  
Industrial Internet Of Things ◽  
Service Engineering ◽  
Analysis And Design ◽  
Information Models ◽  
Industrial Internet

The emerging Industrial Internet of Things (IIoT) will not only leverage new and potentially disruptive business models but will also change the way software applications will be analyzed and designed. Agility is a need in a systematic service engineering as well as a co-design of requirements and architectural artefacts. Functional and non-functional requirements of IT users (in smart manufacturing mostly from the disciplines of mechanical engineering and electrical engineering) need to be mapped to the capabilities and interaction patterns of emerging IIoT service platforms, not to forget the corresponding information models. The capabilities of such platforms are usually described, structured, and formalized by software architects and software engineers. However, their technical descriptions are far away from the thinking and the thematic terms of end-users. This complicates the transition from requirements analysis to system design, and hence the re-use of existing and the design of future platform capabilities. Current software engineering methodologies do not systematically cover these interlinked and two-sided aspects. The article describes in a comprehensive manner how to close this gap with the help of a service-oriented analysis and design methodology entitled SERVUS (also mentioned in ISO 19119 Annex D) and a corresponding Web-based Platform Engineering Information System (PEIS).

HOW THE INDUSTRIAL INTERNET OF THINGS CHANGES BUSINESS MODELS IN DIFFERENT MANUFACTURING INDUSTRIES

2016 ◽  
Vol 20 (08) ◽  
pp. 1640015 ◽  
Author(s):  
CHRISTIAN ARNOLD ◽  
DANIEL KIEL ◽  
KAI-INGO VOIGT
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Manufacturing Companies ◽  
Industrial Internet Of Things ◽  
Study Approach ◽  
Current State ◽  
Industrial Internet ◽  
Information And Communication ◽  
Multiple Case ◽  
Industry Sectors

The Industrial Internet of Things (IIoT) poses large impacts on business models (BM) of established manufacturing companies within several industries. Thus, this paper aims at analyzing the influence of the IIoT on these BMs with particular respect to differences and similarities dependent on varying industry sectors. For this purpose, we employ an exploratory multiple case study approach based on semi-structured expert interviews in 69 manufacturing companies from the five most important German industries. Owing the lack of previous research, our study contributes to the current state of management literature by revealing the following valuable insights with regard to industry-specific BM changes: The machine and plant engineering companies are mainly facing changing workforce qualifications, the electrical engineering and information and communication technology companies are particularly concerned with the importance of novel key partner networks, and automotive suppliers predominantly exploit IIoT-inherent benefits in terms of an increasing cost efficiency.

scholarly journals Development of the blockchain architecture of the Industrial Internet of Things system of the enterprise

2021 ◽  
Vol 16 (95) ◽  
pp. 16-32
Author(s):  
Emil A. Gumerov ◽  
◽  
Tamara V. Alekseeva ◽  
Keyword(s):  
Internet Of Things ◽  
Intelligent Systems ◽  
Software Agents ◽  
Modern World ◽  
Distributed Network ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Security Problem ◽  
Cryptographic System ◽  
Financial Losses

The development of the digital economy in the modern world requires solving the issue of security of Industrial Internet of Things (IIoT) applications. A large number of distributed, network-based, IIoT devices managed by intelligent programs (software agents) require protection. A successful attack on any IIoT device will lead to hacking of the IIoT application and to large financial losses, as well as to the termination of the IIoT application, therefore, the research topic is relevant. The purpose of this article is to radically solve the security problem of the IIoT application by developing a blockchain architecture of the application. The authors were tasked with investigating all aspects of the blockchain system that ensure the security of IIoT application devices. The peculiarity of the blockchain system is that its participants are software agents that control the application devices. As a result of the research, the concept of the blockchain architecture of the IIoT application is proposed. He mechanisms of consensus of intelligent programs of IIoT devices as equal active participants of the blockchain network are investigated. The consensus mechanism and the cryptographic system of the distributed registry of the blockchain network increase the information security of the IIoT application. The synergistic effect of the blockchain system and intelligent systems of software agents of IIoT application devices significantly increases the efficiency of the solution. Intelligent systems of software agents and IIoT applications are effectively trained on the blockchain platform, and as a result, we get a decentralized supercomputer in the form of a blockchain system.

THE INFLUENCE OF THE INDUSTRIAL INTERNET OF THINGS ON BUSINESS MODEL DESIGN: A QUALITATIVE-EMPIRICAL ANALYSIS

2016 ◽  
Vol 20 (08) ◽  
pp. 1640014 ◽  
Author(s):  
SVEN M. LAUDIEN ◽  
BIRGIT DAXBÖCK
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Business Models ◽  
Technological Development ◽  
Industrial Internet Of Things ◽  
Firm Level ◽  
Manufacturing Firm ◽  
Model Research ◽  
Industrial Internet ◽  
Depth Analysis

The Industrial Internet of Things is recently a widely discussed phenomenon. However, business level effects of this phenomenon are by now underresearched. We tackle this research gap by presenting an in-depth analysis of business model changes manufacturing firms employ to adequately react to this technological development. Against the background of a multiple-case study we identify and characterise three archetypes of business models manufacturing firm implement in order to benefit from opportunities provided by the Industrial Internet of Things. Furthermore, we present insights on how firms innovate their extant business model in this context. Thereby, our study considerably contributes to business model research and additionally bolsters up a strategic firm level perspective on the Industrial Internet of Things.

Reconceptualizing value innovation for Industry 4.0 and the Industrial Internet of Things

2019 ◽  
Vol 34 (6) ◽  
pp. 1203-1209 ◽  
Author(s):  
Paul Matthyssens
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Internet Of Things ◽  
Value Innovation ◽  
Content Type ◽  
Innovation Research ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
New Research

Purpose Starting from the foundations of value innovation, this paper aims to give an idea of the key drivers and barriers – internal and external to the company – and to provide insight into proven capabilities underscoring the ability to create a flow of new value initiatives. These thoughts are then confronted with the present challenges of Industry 4.0 and the Industrial Internet of Things (IIoT). The confrontation leads to the identification of five capabilities for future-proof value innovation. Design/methodology/approach Literature review based upon the work of the author with more than two decades of experience within value innovation research is included. The review is supplemented with recent literature and an overview of the challenges of Industry 4.0/IIoT, which leads into a confrontation of the present status of value innovation with future requirements. Findings Value innovation remains important specifically for established companies facing path-breaking digital disruption of their existing business models provoked by Industry 4.0 and IIoT. Five key capabilities are suggested to rejuvenate value innovation and prepare it for the Industry 4.0 challenge: capabilities for designing, adapting and marketing product service systems; capabilities for blending digital strategy and processes with value offerings; capabilities for designing and mobilizing ecosystems and integrating these into a value-based IIoT platform; capabilities for combining and integrating technological and value innovation approaches; and capabilities for linking value creation to value capturing. Research limitations/implications This paper is more of a “viewpoint” than an empirically based paper presenting new research findings. It is based on expert judgment and confrontation with extant literature. The outlook indicating five key capabilities needs further empirical corroboration. Practical implications The overview of barriers and the “toolkit” for value innovation (Figure 1) and the five capabilities for future value innovation are expected to be managerially relevant. Originality/value The paper highlights the concept of value innovation, as discussed over the past decades, and links it to recent challenges and opportunities imposed by Industry 4.0 and the IIoT. The concept of value or strategic innovation is still valid but needs a re-conceptualization in view of these developments. The paper provides five capabilities business marketers should develop to perform value innovation in an Industry 4.0 environment.

Data and Knowledge in IIoT-Based Maintenance Application

2017 ◽  
Author(s):  
Luca Bergonzi ◽  
Giorgio Colombo ◽  
Marco Rossoni ◽  
Francesco Furini
Keyword(s):  
Knowledge Management ◽  
Internet Of Things ◽  
Business Models ◽  
Global Network ◽  
Industrial Internet Of Things ◽  
Support Design ◽  
Knowledge Based ◽  
Industrial Internet ◽  
Design Activities ◽  
Maintenance Model

Along with increased digitalization, virtualization of processes and automation in industry, Industrial Internet of Things opens for new possible scenarios and business models. The opportunities of this technology rely, among the others, on new way for data and knowledge management. Knowledge Based Engineering (KBE) is greatly considered to support design activities related to digital technologies. The paper aims at analyzing the role of Industrial Internet of Things for supporting maintenance operations and evaluating whether the adoption of data structure and the integration with the KBE system can face the actual gaps and needs. After a brief overview of different technologies for knowledge management, a possible scenario has been identified. It represents the framework within IIoT technologies can be applied. This conceptual environment considers a multilevel structure: local facilities, the whole company, suppliers, retailers and global network have been involved into the analysis. Upon that scenario, how data and knowledge can be mapped and managed for each level have been investigated. Moreover, these data can be used to improve the predictive maintenance model as well as to enhance the design of new products through the acquisition and monitoring of an effective set of parameters. Finally, in order to demonstrate the feasibility of the proposed approach with the use of simulation as well as physical devices, a prototypical application related to the maintenance of refrigerated display cabinets has been developed.

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