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Enabling Data Collections for Open-Loop Applications in the Internet of Things
Abstract
Using label technology, a physical object may be employed to build a continuously growing data collection, which can, for instance, be exploited for product quality monitoring and supply chain management. Along the object's life-cycle, queries to such a collection may stay quite similar, e.g., "get unusual observations". However, expectations to a "good" answer may change, as with time different entities will come into contact with the object. This article reports on work in progress concerning a framework for collecting data about things, which aims at decoupling logic employed for interpreting such a collection from processing hardware and using the collection itself for transporting such logic. Main contributions include an approach to hardware-abstraction of processing logic at the object or remote, an app store for retrieving interpretation and presentation logic, and interaction forms with such memories.
... This server component allows the deployment and undeployment of ADOMes at runtime and uses for protection of the stored contents a role based authentication module for restricted access. Currently, three different modes are supported for data access: passwords, certificates and electronic ID cards [37]. Figure 12: Server-based OMM Architecture [37]. ...
... Currently, three different modes are supported for data access: passwords, certificates and electronic ID cards [37]. Figure 12: Server-based OMM Architecture [37]. ...
This paper describes the concept and realization of an
architecture using cloud-based smart components to achieve a
more responsive production system that provides a modular and
re-configurable production framework. For each important part
of the plant and the manufactured product, digital virtual copies
are created and stored in active digital object memories, a unified
structured format for data access and further processing. Cyber-
Physical Systems act as intelligent nodes within the cloud-based
network and guarantee the function of technical communication
and data exchange. Moreover, these systems continuously perform
and execute almost autonomous simple state and feature checks,
up to a certain level of complexity. In various points of the
production process these simple checks can ensure or even
optimize the quality of the product. An assistance system makes
use of these technical solutions and manages and monitors
the distributed components and their responsibilities for quality
assurance during the whole production process. In compliance
with prescribed quality characteristics and the situational context
necessary processing steps are defined or rearranged.
... By adding and updating additional applications, the capabilities of the AAS can be highly improved. A similar concept has already been developed and implemented, demonstrating how IoTdevices can access an app storage to download additional programs [15]. With a standardized functionality segment, the concept can be applied to I4.0-components. ...
The increasing demand for highly customized products in connection with shortened product life cycles requires the manufacturing industry to be eminently flexible, whereas low production costs are crucial to persist in the competition of the global markets. To meet this requirements, cyber-physical systems (CPS) are applied into the production process, aiming for interconnected and self-managing smart factories, which can incorporate external and internal conditions for the autonomous adaptation to gain optimized results. This is achieved through a bi-directional information flow between all important components such as machines, products, control programs and off-site assets. Therefore it is essential to standardize communication interfaces and enhance interoperability between CPS of all variations. This paper presents an approach to combine the specification of the World Wide Web Consortium (W3C) with the guidelines of the Plattform Industrie 4.0 (I4.0), thus obtaining a uniform structure for industrial CPS. Based on the recommended asset administration shell for I4.0-components, the required functionality is identified and allocated to different segments. The five main segments include the functionality for security, representation, communication to external CPS, communication to internal assets and a section for additional applications to enhance the capabilities. By using a standardized protocol for the configuration and representation based on the object memory model of the W3C, a significant interoperability between I4.0-components and conventional Internet-of-Things can be realized. The proposed structure is applied in a use case to simulate the adaptation and remote maintenance of a production robot.
In this chapter we present current work about the Internet of Things (IoT) as a general building block for industrial production. The basic idea is to provide each physical entity with a virtual representation and a storage space, named the digital object memory. Such memories can be used for produced goods as well as the production line components themselves and contain all production-relevant data. Moreover, in smart production lines a centralized orchestration service coordinates “the needs” of each good and triggers the necessary actuators. For each object an individual production plan is created, based on the object’s memory and external requirements and conditions. Based on this concept, actuators can be replaced without stopping the production line and all collected data is available in the object’s and in the production line’s memory and can be further displayed or processed.
In this paper we present a new way of emotional interaction with products. Based on the rapid prototyping Microsoft Gadgeteer platform, we concretized our vision of an on-product app by implementing an anthropomorphic intelligent milk carton. The purpose of this realization is to give customers a better view of a product's life-cycle. This realization also demonstrates that the frontier between pure mobile applications development and the creation of tangible objects is very thin and opens new way to integrate the Internet of Things over an anthropomorphic user interface, thus leading to a new product to human interaction form.
In this paper we present a new way of emotional interaction with products. Based on the rapid prototyping Microsoft Gadgeteer platform, we concretized our vision of an on-product app by implementing an anthropomorphic intelligent milk carton. The purpose of this realization is to give customers a better view of a product's life-cycle. This realization also demonstrates that the frontier between pure mobile applications development and the creation of tangible objects is very thin and opens new way to integrate the Internet of Things over an anthropomorphic user interface, thus leading to a new product to human interaction form.