Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor

The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities

Perspectives and approaches for the internet of things

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de ComputadoresThis thesis was developed based on a scenario in which a CEO of a certain company asked the author to conduct an exploratory work evaluating the potential opportunities and limitations of this emerging area described as the future of the Internet, the Internet of Things (IoT). The objective is thus to provide the reader with a wide view of the vital points for the implementation and exploitation of the IoT, a technology that promises to deliver a new and wider range of applications to the society. In this subject there is a need to gather and organize information produced by several researchers and contributors. Due to the fact of being a new area and researchers work independently of each other, the work is scattered and inconsistencies can be found among different projects and publications. As such, in a first stage some definitions are provided and an attempt to clarify concepts is made. To support and emphasize the exponential growth of IoT, a brief historical overview is provided to the reader. This overview is based on the new trends and expectations that arise every day through news, potential businesses and also in important tools such as Google Trends. Several examples of applications in the context of the IoT, illustrate the benefits, not only in terms of society, but also for business opportunities, safety, and well-being. The main areas of interest to achieve the IoT such as: hardware, software, modeling, methods of connection, security and integration are studied in this work, in order to provide some insight into current strong and weak points. As the Internet of Things become a matter of large interest, various research groups are active in exploring and organizing projects in this area. Some of these projects, namely the ones considered the most important, are also presented in this thesis. Taking into account the facts surrounding this new technology, it becomes quite important to bring them together, clarifying them and trying to open new perspectives for further studies and improvements. Finally, in order to allow a practical evaluation of the technology, a prototype is developed around the connection of an intelligent object – a small mobile robot – to the Internet. A set of conclusions and future work directions are then presented which take into account the findings of the bibliographic analysis as well as the acquired experience with the implementation of the prototype

Maturity Models in Industrial Internet: a Review

The introduction of assembly lines in industrial plants marked the beginning of the third industrial revolution. The support of information technology has enabled continuous progresses, up to the digitalisation of the processes. In this context, the further innovation characterised by the introduction of Cyber-Physical Systems and other enabling technologies has allowed the fourth industrial revolution. Proposed by the German government, Industry 4.0 appealed to both researchers and practitioners. Since the appearance of the term Industry 4.0, the linked-term Industrial Internet has been introduced to indicate the technology stack and knowledge management required by Industry 4.0. Industrial Internet makes a factory smart by applying advanced information and communication systems and future-oriented technologies, as well as new principles of knowledge management. Undeniably, such a system introduces greater complexity in terms of technologies, knowledge and socio-cultural aspects. Companies are often unprepared to deal with innovation issues, because they lack knowledge and competences and they are not culturally prepared for the relative novelties, but especially because they lack the necessary technological pre-requisites to develop the appropriate technology stack. From this perspective, different models of maturity have been developed, both in academic and technical environments, to support companies in understanding their position within the paradigm of the Industrial Internet. Starting from a quantitative review of the maturity models designed in the general literature, this article develops a qualitative review of the models applied in Industry 4.0, characterising all relevant models and proposing future perspectives to improve existing models and develop new ones

Aggregate Farming in the Cloud: The AFarCloud ECSEL project

Farming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate monitoring of soil and crop properties and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate Farming in the Cloud) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques.publishedVersio

Internet of Things Software Modules Marketplace

The project developed is a centralised repository of software packages to be used in cyber-physical systems. It is composed by a central database, an http api, an ftp client to serve files and a web application to manage the repository. The system also communicates via OPCUA protocol with the embed-system for real time monitoring.The advent of the Cyber-Physical Systems (CPS), a physical system representation through a vir-tual model, usually used to control a system or a process comes from the growing democratizationof the computational power. Nowadays, virtually anything can be equipped with some kind ofembedded processor to automate tasks, generate or consume some kind of data. In addition, thecontinuous development and improvement of the communication networks has helped leveragethe concept of the Internet of Things (IoT) in which things are now, themselves, connected to theInternet, exchanging data with each other and with people.In the industrial sector, CPS, also called Cyber-Physical Production Systems (CPPS) and theIoT are the main technological advances that lead to the industry fourth revolution, common des-ignated as Industry 4.0 in which the factory floor is no longer a centralized model where all thecomputation is done centrally but is now a decentralized model where industrial equipment haveembedded devices to control, automate tasks and react in a dynamic and intelligent manner to thesensed physical environment.Thereby, one of the keywords around the CPPSs is software. Software is no longer centralizedand is now distributed through several devices that comprises the system. This new approachcomes with significant changes and one of them is the reuse and distribution of the software. Itis not viable to manual deploy and install software in hundreds or thousands of devices and nothaving a way of reusing the existing software. If, on the one hand, the desire is to develop a moreintelligent process control system, on the other, flexibility, adaptability and simplicity are alsoconvenient capabilities or else intelligent manufacturing process control systems are built upon alot of resources debt. Hence, the solution is to build standards, tools and frameworks that allowthe reuse of software and its rapid deployment in the distributed devices.One option, in the Industry 4.0 field, to cope with the software reuse issue in this kind of sys-tems is the encapsulation of software in functional blocks, the Function Blocks (FBs) and their usein the function block programming paradigm, described in IEC 61499 standard. The functionalityis abstracted away in the FBs and can be reused by just deploying the them to the devices. Thisway, it is easier to manage a network by dragging and dropping these blocks, building complexapplications centrally and deploy everything to the distributed embedded devices. However, theimplementation of this standard to address the aforementioned problem brings, itself, other neces-sities such as managing the FBs, monitoring them and their previous download by the embeddeddevices.This dissertation main goal is the development of a marketplace to manage and monitor of FBs in a IEC 61499 network envisioning the filling of the previous mentioned gaps in this kindof networks. The marketplace, integrated in a IEC 61499 global solution will not only enable thedistribution of FBs among the embedded devices in a IEC 61499 compliant CPPS but also manageFBs versions, functioning as a central repository of software components, having also monitoringand statistical features, allowing the detection of flaws or malfunctions and collect statistical datai iiabout FBs usage

Adaptation Conflicts of Heterogeneous Devices in Iot Smart-Home

A promising technology such as Internet-of-Things have been introduced into traditional homes, buildings and cities to become smart and offer a wide range of services to simplify and enhance people’s lifestyle, a complex rule structure with a large number of sensing and actuating devices increases the chances of creating rules with faulty behaviors. Detection of sophisticated conflicts in an IoT system is one example of such faulty systems. In this paper, a mechanism is presented to detect such sophisticated conflicts among multi-resident smart-home services. Formally a model considering the functional properties of devices to distinguish a specific new kind of conflicts among the other basic types. Service User Regularity (SUR) conflict detection algorithm is proposed to trace resident habitual usage and behaviour conflicts and regulate them within the rules of the smart-home IoT-system. The system achieved good result; it could detect a reasonable number of targeted type conflicts within a synthesized data set