Classifying Smart Objects using capabilities

Abstract

Abstract-The Internet Of Things has emerged, providing an umbrella for the increasing number of heterogeneous Smart Objects that are becoming part of our daily activities. In this scenario, classification approaches are useful to understand differences and identify opportunities of generalization and common solutions, especially when different disciplines are coming together and bringing their individual terms and concepts. We propose a novel model for classifying Smart Objects using capabilities. This five-level model, inspired in the Capability Maturity Models, aims to be simple and inclusive, separating objects with basic capabilities from those with complex ones. In addition, examples of objects for each level are provided as validation of the proposal. The model is useful to identify requirements that Smart Objects have to cover externally as they cannot themselves support them and thus it allows for clear understanding of the external support system (or Middleware) into which the smart object is embedded.

The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies

“…A second characteristic is that the 4.0-enabled-objects are further developed and equipped with advanced features. More specifically, that the objects at this level have self-awareness capabilities, which means that the objects have the ability to know its own status and structure, as well as any changes to it, and its history [8]. A third characteristic is that the production and/or warehouse environment is extensively automated, e.g.…”

“…This feature passes beyond self-awareness at the previous level, and includes the IoT-objects ability to use the information gathered in order to manage its own life cycle, including services, self-repair and resources. It also includes the ability to learn from experiences and the ability to improve operations [8]. A third characteristic is that the production and/or warehouse environment are highly automated, involving robots that perform a high degree of the production and/or warehouse operations, further replacing the manual workforce.…”

Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics

“…Similar to 5C, Porter and Heppelmann (2014) suggested building a connectivity-based infrastructure. The capability model advised by Hernández and Reiff-Marganiec (2014) suggests how CPS can be improved.…”

Estrutura de declaração de padrões de projeto em IoT

“…introduzido no artigo Modeling Objects for InteractionTasks (KALLMAN;THALMANN, 1999). Por meio de uma modelagem de recursos todas as informações necessárias são incluídas nos objetos onde, através de uma interface gráfica, um usuário pode especificar interativamente diferentes recursos nele e salvar como um arquivo de script.Kallman e Thalmann (1999) ainda esclarecem que um objeto é chamado de inteligente quando tem a capacidade de descrever suas possíveis interações.Uma das primeiras tentativas de classificar os SOs foi definida por EPC Global (HERNÁNDEZ;REIFF-MARGANIEC, 2014;ARMENIO et al, 2007) e incluía um modelo de quatro níveis para classificar as etiquetas RFID. As desvantagens segundo Hernández e Reiff-Marganiec (2014) eram: (1) foco nas etiquetas RFID e variedade SOs disponíveis que não se baseiam apenas em tags do RFID; (2) a proposta carece de critérios uniformes e consistentes para diferenciar uma classe da outra.…”