In a cyberphysical production system, the connectivity between the physical entities of a production system with the digital component that controls and monitors that system takes fundamental importance. This connectivity has been increasing from the transducers’ side, through gathering new functionalities and operating increasingly independently, taking the role of smart transducers, and from the applications’ side, by being developed in a distributed and decentralized paradigm. This work presents a plug-and-play solution capable of integrating smart transducers compliant with the IEEE 1451 standard in industrial applications based on the IEC 61499 standard. For this, we implemented the NCAP module of the smart transducer defined in IEEE 1451, which, when integrated with 4diac IDE and DINASORE (development and execution tools compliant with IEC 61499), enabled a solution that presented automatically the smart sensors and actuators in the IDE application and embedded their functionalities (access to data and processing functions) in the runtime environment. In this way, a complete plug-and-play solution was presented from the connection of the transducer to the network until its integration into the application.

Industrial Internet of Thing's will pave the way for Smart Manufacturing initiatives. Intelligence will be notices even in fine grained devices, resulting in complex but at the same time highly efficient manufacturing systems. The typical field worker job will be replaced by machines and human intervention will be shifted to supervision jobs. This work presents Sensor SelComp, a Smart Component which will act in the factory shop-floor, creating the so called digital twin's of machine's by means of sensors and exposing it's functionalities as services. This component is a building block of the SelSus project vision, whose aim is to create and highly effective self-healing production environment. This component eases the process of sensor integration and data analysis by offering runtime reconfiguration and data processing capabilities. Along this document it is shown that Sensor SelComp can cope with tight industrial functional requirements and it's functionalities are described in detail.

This work was developed in the context of European funded Project SelSus. Industrial clouds are heavily sensor based and Cloud Manufacturing Service frameworks are mostly grounded in the adoption of Internet of Things and Wireless Sensor Networks technologies. The SelSus framework combines both an Industrial Sensor Cloud and a Cyber Physical Production System. The Industrial Sensor Cloud supports the Cyber Physical Production System, by providing computational power, as well as internal coordination and control, and external access to realize intelligent monitoring and control. The SelSus framework combines embedded systems, networks, sensors and actuators and control algorithms in a seamless manner. Our goal is to have a Flexible Sensor Integration solution that allows rapid graphical development of interpreters of raw data packets in the Cloud and its deployment for embedded execution at the Wireless Sensor Network gateway level for automatic data acquisition. This paper describes such a technology and demonstrates its feasibility, where a match between a graphically developed interpreter and the received messages from the Wireless Sensor Network in US-ASCII is made, and the integration of such sensors is made into the system.

Sensor networks that consist of a variety of sensor nodes, with capability for distributed storage and analysis, interoperable and delay-tolerant communication, will pave the way for a truly scalable network of sensors which will support adaptable plug-and-produce assembly stations. The concept of Sensor Cloud has emerged as the cornerstone for enabling the integration of nearly real time data sources into Service Oriented Architectures and as one of the enablers for Reconfigurable Manufacturing Systems. Hitherto there are still some challenges that need to be tackled, namely the on-the-fly instantiation and update of services at the system level and the dynamic (re)organization of the services created. This paper presents the first steps in the development of a framework (taking advantage of several technologies like UPnP, OSGi and iPOJO) to address these challenges and make Sensor Clouds a reality in the shop floor. The results from the first implementation reveal that the performance of the system is linear in terms of scalability, and from these scalability tests, we proved the framework's robustness and consistent responsiveness.

The use of Sensors and Actuators is ubiquitous in an industrial environment. The advent of the Industrial Internet-of-Things (IIoT) and the 4th industrial revolution demands new, more intelligent and more efficient ways to be able to connect, read and control transducers at the plant floor level. Newer control and data science techniques also largely benefit from structured information endpoints available at the edge of the network. The IEEE 1451 standard presents architecture and methodology to solve these problems with the usage of smart transducers, introducing into edge devices concepts such as self-identification and standardization of data communication. In this work, a transducer interface module is developed using the IEEE 1451 standard focused on flexibility, ease of integration and plug-and-play features. Furthermore, a system architecture, based on IEEE 1451.0 is presented, and development and implementation features are explained. This system is then released as an open-source platform to help and motivate the usage of smart transducer systems. At last, the system is tested, results are collected, and a methodology and metrics are defined for comparison between different smart transducer systems.