Digital object memory

Last updated

A digital object memory (DOMe) is a digital storage space intended to keep permanently all related information about a concrete physical object instance that is collected during the lifespan of this object [1] and thus forms a basic building block for the Internet of Things (IoT) [2] by connecting digital information with physical objects. [3]

Contents

Such memories require each object instance to be uniquely identified and this ID to be attached to the physical object. The underlying techniques to create identification codes and to attach them to objects are manifold but machine-readable techniques are mandatory. Commonly used are barcodes with one or two dimensions (e.g. QRcode or DataMatrix) and radio based tags like RFID or NFC. Such codes or tags are a low cost solution but demand an underlying server infrastructure to host the memory data.

A taxonomy of Digital Object Memories (DOMe) DOMe Ontology.svg
A taxonomy of Digital Object Memories (DOMe)

Active digital object memories

In contrast to the mentioned memories providing only a passive storage space, the more sophisticated active digital object memories (ADOMe) are based on embedded systems in terms of cyber-physical systems (CPS) and provide on the hardware side

and on the software side there are

Such active memories allow for "on-object" processing of object-related tasks, such as condition monitoring, compilation of associated data, and memory clean-up. In addition to strictly passive memories (storage space is located in the web as mentioned above) and active memories (with "on-object" storage) hybrid forms are also available, that perform simple tasks "on-product", outsource more complex tasks to server-based infrastructures, and keep both representations in sync.

Digital product memory

Digital product memories (DPM) are a subclass of digital object memories, which include memories for all artifacts that were intentionally created such as containers and pieces of art or valuable and rare natural objects such as a marble plate or a lump of gold. Such objects don't have all the attributes of industrial products, but nevertheless a digital black box attached to them for lifelogging can make sense for specific applications. [4]

Semantic product memory

Semantic product memories (SemProM) go beyond that, since they provide a machine-understandable meaning description of their contents based on semantic web technologies. If a product memory has no explicit semantic markup, only propriety software can exploit the information stored in the memory. In contrast, semantic product memories can be interpreted by any software that has access to the semantic description of the epistemological primitives and the ontologies used for capturing memory contents.

Object memory model

In the context of the Object Memory Modeling Incubator Group, [5] part of the W3C Incubator Activity, an object memory format, which allows for modeling of events or other information about individual physical artifacts (ideally over their lifetime) and thus implements an object memory model (OMM), was created. The model consists of a block-based approach to partition the entire memory to groups each with associated object-related information. Each block consists of the data itself (the so-called payload) and a set of metadata attributes to describe the block content.

SemProM

Funded by the German Ministry of Education and Research, the project SemProM (Semantic Product Memory [6] ) employs smart labels in order to give products a digital memory and thus support intelligent applications along the product's lifecycle. By the use of integrated sensors, relations in the production process become transparent and supply chains as well as environmental influences retraceable. The producer gets supported and the consumer better informed about the product.

RES-COM

Funded by the German Ministry of Education and Research, the project RES-COM (Resource Conservation by Context-Activated Machine-to-Machine Communication [7] ) focuses on the development of technologies (containing interfaces, protocols and data models) for proactive resource conservation based on M2M-communication. With a defined interaction with active digital object memories the project tries to leverage the integration of distributed and active components to existing centralized structures in the field of industry and manufacturing.

Aletheia

The Aletheia project [8] is a leading innovation project, sponsored by the German Ministry of Education and Research that aims at obtaining comprehensive access to product information through the use of semantic technologies. The project follows an approach which does not only consult structured data from company-owned information sources, such as product databases, to respond to inquiries, it also looks at unstructured data from office documents and web 2.0 sources, such as wikis, blogs, and internet forums, as well as sensor and RFID data.

ADiWa

The ADiWa project (Alliance Digital Product Flow [9] ), funded by the German Ministry of Education and Research, makes the huge potential of information from the Internet of Things accessible for business-relevant workflows that can be strategically planned and manipulated. For the data-level connection of objects from the real world, results from available solutions and from the SemProM project shall be used. ADiWa focuses on business processes, which can be controlled and manipulated based on evaluated information from the real world.

SmartProducts

The SmartProducts project, [10] funded by the European Union in the 7th Research Framework Programme (FP7), develops the scientific and technological basis for building "smart products" with embedded proactive knowledge. Smart products help customers, designers and workers to deal with the ever-increasing complexity and variety of modern products. Such smart products leverage proactive knowledge to communicate and co-operate with humans, other products and the environment. The project thereby also focuses on small devices with limited storage capabilities and thus also requires efficient storage mechanisms. Moreover, the project aims to apply the results achieved by the incubator group for optimizing the data exchange between different smart products.

ToTEM

Tales of Things and electronic Memory (TOTeM [11] ) is a three-year collaborative project between five universities in the United Kingdom. A project aim is to explore the implications of Internet of Things technologies for the design of novel forms of augmented memory systems. While the potential implications of the Internet of Things for supply chain management and energy consumption have been acknowledged and discussed, its application for the engagement with personal and social memories has been rarely mentioned. More and more newly manufactured objects are often tagged at production and made traceable. Tales of Things provides a design space for exploring the value of a user-generated Internet of Old Things in which people's memories are linked to objects.

SmaProN

The project Smart Product Networks (SmaProN [12] ), funded by the German Ministry of Education and Research, explores the dynamic linking of smart products to product bundles and product hierarchies, based on the developed Tip'n'Tell architecture (to integrate distributed product information) and the product description model SPDO (using semantic web-based representation languages).

RAN

The project RFID-Based Automotive Network (RAN [13] ), founded by the German Ministry of Education and Research, focuses on the development of a RFID-based hybrid control architecture and valuation methods for value added chains. Using the example of automobile industry they develop a combined data management that exchanges product-related information in a decentralized way using RFID-tags. In addition order-related information are stored in centralized manufacturer databases. Such an architecture allows for transport of product-related data at the location of the physical object and process related data in real-time via backend systems.

Related Research Articles

Radio-frequency identification (RFID) uses electromagnetic fields to automatically identify and track tags attached to objects. An RFID system consists of a tiny radio transponder, a radio receiver and transmitter. When triggered by an electromagnetic interrogation pulse from a nearby RFID reader device, the tag transmits digital data, usually an identifying inventory number, back to the reader. This number can be used to track inventory goods.

Data logger Recording device

A data logger is an electronic device that records data over time or about location either with a built-in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor, and called digital data loggers (DDL). They generally are small, battery-powered, portable, and equipped with a microprocessor, internal memory for data storage, and sensors. Some data loggers interface with a personal computer and use software to activate the data logger and view and analyze the collected data, while others have a local interface device and can be used as a stand-alone device.

Object hyperlinking, or simply phylinking, is a neologism that usually refers to extending the Internet to objects and locations in the real world. The current Internet does not extend beyond the electronic realm. Object hyperlinking aims to extend the Internet to the physical world by attaching tags with URLs to tangible objects or locations. These object tags can then be read by a wireless mobile device and information about objects and locations retrieved and displayed.

Mutual authentication or two-way authentication refers to two parties authenticating each other at the same time in an authentication protocol. It is a default mode of authentication in some protocols and optional in others (TLS).

Electronic Product Code Information Services (EPCIS) is a global GS1 Standard for creating and sharing visibility event data, both within and across enterprises, to enable users to gain a shared view of physical or digital objects within a relevant business context. "Objects" in the context of EPCIS typically refers to physical objects that are handled in physical steps of an overall business process involving one or more organizations. Examples of such physical objects include trade items (products), logistic units, returnable assets, fixed assets, physical documents, etc. “Objects” may also refer to digital objects which participate in comparable business process steps. Examples of such digital objects include digital trade items, digital documents, and so forth.

Smart transducer

A smart transducer is an analog or digital transducer, actuator or sensor combined with a processing unit and a communication interface.

Supranet is a term coined at the turn of the 21st century by information technology analysis firm Gartner to describe the fusion of the physical and the digital (virtual) worlds, a concept that embeds the "Internet of things" as one of its elements.

The Internet of things (IoT) describes physical objects with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network and be individually addressable.

RuBee is a two way, active wireless protocol designed for harsh environment, high security asset visibility applications. RuBee utilizes longwave signals to send and receive short data packets in a local regional network. The protocol is similar to the IEEE 802 protocols in that RuBee is networked by using on-demand, peer-to-peer, active radiating transceivers. RuBee is different in that it uses a low frequency (131 kHz) carrier. One result is that RuBee is slow compared to other packet based network data standards (WiFi). 131 kHz as an operating frequency provides RuBee with the advantages of ultra low power consumption, and normal operation near steel and/or water. These features make it easy to deploy sensors, controls, or even actuators and indicators.

Smart Label, also called Smart Tag, is an extremely flat configured transponder under a conventional print-coded label, which includes chip, antenna and bonding wires as a so-called inlay. The labels, made of paper, fabric or plastics, are prepared as a paper roll with the inlays laminated between the rolled carrier and the label media for use in specially-designed printer units.

A smart object is an object that enhances the interaction with not only people but also with other smart objects. Also known as smart connected products or smart connected things (SCoT), they are products, assets and other things embedded with processors, sensors, software and connectivity that allow data to be exchanged between the product and its environment, manufacturer, operator/user, and other products and systems. Connectivity also enables some capabilities of the product to exist outside the physical device, in what is known as the product cloud. The data collected from these products can be then analyzed to inform decision-making, enable operational efficiencies and continuously improve the performance of the product.

Smart systems incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions. In most cases the “smartness” of the system can be attributed to autonomous operation based on closed loop control, energy efficiency, and networking capabilities.

The Semantic Sensor Web (SSW) is a marriage of sensor and Semantic Web technologies. The encoding of sensor descriptions and sensor observation data with Semantic Web languages enables more expressive representation, advanced access, and formal analysis of sensor resources. The SSW annotates sensor data with spatial, temporal, and thematic semantic metadata. This technique builds on current standardization efforts within the Open Geospatial Consortium's Sensor Web Enablement (SWE) and extends them with Semantic Web technologies to provide enhanced descriptions and access to sensor data.

DASH7 Alliance Protocol (D7A) is an open-source wireless sensor and actuator network protocol, which operates in the 433 MHz, 868 MHz and 915 MHz unlicensed ISM band/SRD band. DASH7 provides multi-year battery life, range of up to 2 km, low latency for connecting with moving things, a very small open-source protocol stack, AES 128-bit shared-key encryption support, and data transfer of up to 167 kbit/s. The DASH7 Alliance Protocol is the name of the technology promoted by the non-profit consortium called the DASH7 Alliance.

A temperature data logger, also called temperature monitor, is a portable measurement instrument that is capable of autonomously recording temperature over a defined period of time. The digital data can be retrieved, viewed and evaluated after it has been recorded. A data logger is commonly used to monitor shipments in a cold chain and to gather temperature data from diverse field conditions.

Physical Internet

In transportation, the Physical Internet refers to the combination of digital transportation networks that are deploying to replace actual road networks. The Physical Internet Initiative promoted research efforts around 2011. Since around 2018, the initiative site refers to a blog site promoting the marketing term big data.

Fourth Industrial Revolution Current trend of automation and data exchange in manufacturing technologies

The Fourth Industrial Revolution, 4IR, or Industry 4.0, conceptualizes rapid change to technology, industries, and societal patterns and processes in the 21st century due to increasing interconnectivity and smart automation. The term has been used widely in scientific literature, and in 2015 was popularized by Klaus Schwab, the World Economic Forum Founder and Executive Chairman. Schwab asserts that the changes seen are more than just improvements to efficiency, but express a significant shift in industrial capitalism.

Nearables are smart objects – everyday items with small, wireless computing devices attached to them. Those devices can be equipped with a variety of sensors and work as transmitters to broadcast digital data, usually using Bluetooth Smart protocol. Thanks to that, those objects are able to provide mobile devices in range with information about their location, state and immediate surroundings. The word ‘nearables’ is a reference to wearable technology - electronic devices worn as part of clothing or jewellery.

A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process. Though the concept originated earlier the first practical definition of a digital twin originated from NASA in an attempt to improve physical-model simulation of spacecraft in 2010. Digital twins are the result of continual improvement in the creation of product design and engineering activities. Product drawings and engineering specifications have progressed from handmade drafting to computer-aided drafting/computer-aided design to model-based systems engineering.

The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.

References

  1. Haupert, Jens (2013). DOMeMan : Repräsentation, Verwaltung und Nutzung von digitalen Objektgedächtnissen. AKA Verlag. ISBN   978-3-89838-339-4.
  2. Ashton, Kevin (June 22, 2009). "That 'Internet of Things' Thing, in the real world things matter more than ideas". RFID Journal.
  3. Wahlster, Wolfgang (2013). SemProM, Foundations of Semantic Product Memories for the Internet of Things. Springer Berlin Heidelberg. ISBN   978-3-642-37376-3.
  4. Wahlster, Wolfgang (2007). "Digital product memory: embedded systems keep a diary". Harting Tec.News 15: 7–9.
  5. OMM XG
  6. "Herzlich willkommen auf den Internetseiten des Projekts SemProM". www.semprom.org. Archived from the original on 2008-09-20.
  7. http://www.res-com-project.org/ [ dead link ]
  8. "Home". aletheia-projekt.de.
  9. "Home". adiwa.net.
  10. "Archived copy". Archived from the original on 2009-03-23. Retrieved 2013-05-07.{{cite web}}: CS1 maint: archived copy as title (link)
  11. "Archived copy". Archived from the original on 2013-07-18. Retrieved 2013-05-07.{{cite web}}: CS1 maint: archived copy as title (link)
  12. http://iss.uni-saarland.de/de/projects/smapron
  13. "Home". autoran.de.