1. Technologies and enablers
  2. Information and communication technologies
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Associated projects

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COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

01-09-2016

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31-08-2019

Calltopic: FoF.2016.11

: 117 | : 7
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Description COMPOSITION will create a digital automation framework, the COMPOSITION Integrated Information Management System (IIMS) that enhances the manufacturing processes by exploiting existing data, knowledge
Comments He/She has knowledge about processes, tools and technologies to add digital intelligence to the value chain.
 Industrial use cases for an Integrated Information Management System Result title Industrial use cases for an Integrated Information Management System
 Interoperability for M2M & HMI in factory environments I Result description This report outlines the challenges and value of information and communication technology (ICT) with respect to interoperability.
 Interoperability for M2M & HMI in factory environments II Result comments Connected IT and OT IoT enabled SCADA, MOM-MES, ERP (…) connectivity Humans actively connected Human Machine Interfaces Data communication and interoperability Reference docs
 Condition and performance monitoring technologies Taxon title Condition and performance monitoring technologies
 AAA - Access, Authorisation and Authentication Taxon description Authorisation is the process of allowing an entity (humans, systems or devices) to access information systems or facilities where information and processing capabilities are being stored.
 Number of new skills and/or job profles Comments He/She has knowledge about processes, tools and technologies to add digital intelligence to the value chain.
    Information and communication technologies
      Digital manufacturing platforms
      Comment: The COMPOSITION Integrated Information Management System will be a collaborative ecosystem where all members of a manufacturing supply chain can connect in a secure environment. The Security Framework will implement the security core mechanisms aiming to ensure the security, confidentiality, integrity and availability of the managed information for all authorised COMPOSITION stakeholders.
      IoT - Internet of Things
      Comment: The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain at machine-level, end-user-level, and process-level. The DFM model will be used to exploit data coming from machinery, sensors and production lines and will offer interoperability in communication by providing all these heterogeneous data in a common format. The DFM is re-used in the Decision Support System, in Simulation and in the Deep Learning Toolkit. The integration of information will enable better use of the data available in the physical layer of the factories to be made.
      Human Machine Interfaces
      Comment:

      Requirements of modern production processes stress the need for greater agility and flexibility, for faster production cycles, increased productivity, less waste and more sustainable production. Human-machine interaction is put in the center, supporting the decision making process.

      Investigation of advanced HMIs for direct interaction with real-world objects. Consideration of mobile user interfaces that allow accessing crucial immediate information everywhere in the factory. Consideration will also be given to data gathering from ultra low power IoT devices such as wireless sensors where data can then be aggregated and visualised at an appropriate HMI interface. Where possible provision for self-powering these IoT devices using energy harvesting will be taken into account in order to avoid battery replacement. Flexible and dynamic data-driven solutions that can be adapted to different environments and needs.

      Results:
      Interoperability for M2M & HMI in factory environments II

      Interoperability for M2M & HMI in factory environments II
        Advanced and ubiquitous human machine interaction
        Comment: Decision makers are not at their desk the whole day. In order to reduce the probability that they miss important information, the project investigates user interface solutions for the shop floor and everywhere else in the factory, in order to provide data monitoring, control and notification systems, that help humans in interaction with machines and with the decision making process.
      System modelling, simulation and forecasting
      Comment:

      A Simulation and Forecasting Toolkit analyses the production processes and required resources in an integrated way and extracts forecasts for possible failures. Also forecasting is provided in supply chain and logistics, especially in fill level monitoring of bins and boosts the waste management and recycling processes. Sustainable manufacturing will be assisted by a Decision Support System. The Marketplace will enable dynamic integration with actors in the supply chain.

      Results:
      Digital Factory Model II

      Digital Factory Model II
      Operating systems
      Comment: Design a technical operating system for the support connected and interoperable factories with their stakeholders and for the optimisation of manufacturing and logistics processes.
      ICT Architectures
        Collaborative and decentralized application architectures and development tools
        Comment: The COMPOSITION project will address the issue of extended enterprises allowing the interaction and collaboration of all stakeholders in the COMPOSITION Marketplace as every business entity will be represented by agents at the ecosystem. Some of information from companies’ IIMS will be reflected at the ecosystem in a Collaborative Manufacturing Services Ontology which will be used as a central knowledge base. The Matchmaker will infer knew knowledge from the knowledge base by applying both syntactic and semantic matching in terms of manufacturing capabilities, in order to find the best possible supplier to fulfil a request. Different criteria for selection according to several qualitative and quantitative factors will be considered.

SatisFactory | A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments

01-01-2015

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31-12-2017

Calltopic: FoF.NMPB.2014.4

: 53 | : 29
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Description Supporting this "Industrial Revolution 4.0", the SatisFactory solution aims to contribute to transforming traditional industrial environments using cutting-edge technologies in ways that are
Comments This set of cutting-edge technologies provide real-time informational support for incident management, maintenance and training.
 DELIVERABLE D6.3 - Dissemination and Communication Plan Result title DELIVERABLE D6.3 - Dissemination and Communication Plan Result comments Information and communication
 Periodic Reporting for period 2 - SatisFactory (A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments) Result description ubiquitous computing as well as and customised social communication...
 Ultra Wide Band (UWB) Localization Devices Result comments Information and communication
 Modular Plant Data Exchange Software Result comments Information and communication
 Middleware + Ontology Management Result comments Information and communication
 iDSS-Decision Support System for Incident Detection and Maintenance in Industries Result comments Information and communication
 Context-Aware Manager Result comments Information and communication
 In-Factory Collaborative Tools Result comments Information and communication
 AR In-Factory Platform Result comments Information and communication
 Industry Oriented Gamification Tools Result comments Information and communication
 Human Resources Workload Balancing Toolkit Result comments Information and communication
 Augmented Reality Glasses Result comments Information and communication
 "On-the-job" Training and Educational Platform Result comments Information and communication
 DELIVERABLE D1.1 - User group definitions, end-user needs, requirement analysis and development guidelines Result comments Information and communication
 DELIVERABLE D1.2 - Use Case Analysis and Application Scenarios Description Result comments Information and communication
 DELIVERABLE D1.3 - SatisFactory Common Information Data Exchange Model Result comments Information and communication
 DELIVERABLE D2.1 - SatisFactory System Architecture Result comments Information and communication
 DELIVERABLE D2.2 - Knowledge model for human resource optimization Result comments Information and communication
 DELIVERABLE D5.2 - Evaluation Methodology and Plans Result comments Information and communication
 DELIVERABLE D5.1 - SatisFactory Components Integration and framework Result comments Information and communication
 DELIVERABLE D5.3 - Industrial lab use case Set-up and Demonstration Result comments Information and communication
 DELIVERABLE D6.1 - Project website Result comments Information and communication
 DELIVERABLE D6.2 - Data Management Plan Result comments Information and communication
 DELIVERABLE D7.1 - Market Analysis and Exploitation Strategy Result comments Information and communication
 Video Trailer: How to Create a Smart Factory? by the SatisFactory project Result comments Information and communication
 SatisFactory project - Leaflet Result comments Information and communication
 SatisFactory at A&T Event (Turin) - Smart Factory, Industry 4.0 Result comments Information and communication
 Information and communication technologies Taxon title Information and communication technologies
 Control technologies Taxon description technologies, system modelling approaches and distributed intelligence architectures.
 Business model aspects of digital platform deployment Comments This set of cutting-edge technologies provide real-time informational support for incident management, maintenance and training.

ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing

01-10-2018

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31-03-2022

Calltopic: DT-FOF-02-2018

: 3 | : 0
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Description By combining innovative sensing, actuation and control technologies (developed by world market leaders in their field), and integrating them in an open development environment, the ROSSINI platform will
Comments The Rossini Smart and Safe Sensing System (RS4) will combine information from several different customised sensing technologies (Vision, Laser Scanning, Radar, Mat, etc.) in order track not only
 Project Website Result description The project website will be developed and continuously updated with project progress information.
 Control technologies Taxon title Control technologies Taxon description technologies, system modelling approaches and distributed intelligence architectures.
 Occupational safety and health Comments The Rossini Smart and Safe Sensing System (RS4) will combine information from several different customised sensing technologies (Vision, Laser Scanning, Radar, Mat, etc.) in order track not only

Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

01-10-2017

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31-03-2021

Calltopic: FoF.2017.09

: 11 | : 0
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Description To do that we have brought together a total of seventeen (17) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the
Comments The communication interface is through the SPARQL query engine.
 Z-Bre4k system architecture Result description Information flow among modules, data structure format and protocols, architectural elements and relations associated to production processes and to involved machines.
 Information and communication technologies Taxon title Information and communication technologies
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.
 Data communication and interoperability Comments The communication interface is through the SPARQL query engine.
    Information and communication technologies
    Comment:

    The Z-Break solution uses a variety of communication protocols. HTTP, OPC-UA, IEEE 802.15.4e and IEC WirelessHART. The Hypertext Transfer Protocol (HTTP) is an application protocol for distributed, collaborative, hypermedia information systems. HTTP is the foundation of data communication for the World Wide Web. OPC UA supports two protocols. The binary protocol is opc.tcp://Server and http://Server is for Web Service. Otherwise OPC UA works completely transparent to the API. IEEE 802.15.4 is a technical standard which defines the operation of low-rate wireless personal area networks (LR-WPANs). It specifies the physical layer and media access control for LR-WPANs, and is maintained by the IEEE 802.15 working group, which defined the standard in 2003. WirelessHART is a wireless sensor networking technology based on the Highway Addressable Remote Transducer Protocol (HART). Developed as a multi-vendor, interoperable wireless standard, WirelessHART was defined for the requirements of process field device networks. Also, it uses the NGSI protocol. NGSI is a protocol developed to manage Context Information. It provides operations like managing the context information about context entities, for example the lifetime and quality of information and access (query, subscribe/notify) to the available context Information about context Entities.

      Digital manufacturing platforms
      Comment:

      AUTOWARE platform will push forward and stablish an open CPPS ecosystem. In the AUTOWARE Framework, a collection of enablers has been defined as components/tools that will enable potential users of the tools, be it end users, system integrators or software developers, to easily apply the developed technical enablers to their daily work. Moreover, verification, validation and certification enablers will be introduced in the AUTOWARE platform.

      IoT - Internet of Things
      Comment:

      In the framework of Z-BRE4K, an IoT approach is applied to integrate end user machines to the Z-BRE4K platform. Through IoT gateways deployed at the shop floor, machine components are enabled to communicate their conditions, sending sensors data to the cloud where they are stored and analysed to provide predictive maintenance related information.

      Human Machine Interfaces
      Comment:

      The UI’s goal is to visualize data from maintainers and components statuses (real time data and relevant KPIs). The SPARQL Web service is used to send custom SPARQL queries against the Semantic Framework RDF repository as a general-purpose querying web service. The UI can visualise the probability of breakdown and RUL. CAD and CAE models would be useful in mapping these values into a 3D visualisation.

        Advanced and ubiquitous human machine interaction
        Comment:

        Z-Bre4k provides a Semantic Framework as a RESTful web services API. Each request returns an HTTP status and optionally a document of result sets. Each results document can be serialized and may be expressed as RDF, pure XML or JSON. The operator input to the machine and threshold changes can be built as a UI. These parameters can be monitored directly in machine simulators. Furthermore, the dashboard application (M3 modules) will alert the shop floor operator about quality detected issues and suggests recommendations for the production adjustment and maintenance of the machine.

      Data collection, storage, analytics, processing and AI
      Comment:

      Z-BRE4K solution provides a big data analytics framework for the identification of the deterioration trends to extended towards prescriptive maintenance. Advanced data analysis tools are under development, to be applied to the quality and production data to realise zero-defect and zero-break down production. Furthermore, it involves models for anomaly detection, that are capable of identifying the machine states where the operation deviated from the norm.  This is achieved by collecting the data from the machine sensors in chunks of time and processing them in batch through deep learning models. The models are trying to recreate their inputs, and this results in an observable measure called Reconstruction Error, which is used to identify states that the models aren’t capable of addressing sufficiently (which constitutes an anomaly.

        Data acquisition
        Comment:

        The suggestion beyond the state-of-the-art is to have intelligent machine simulators so an information and knowledge rich platform can provide an accurate account of the machine’s current state and provide predictive (look ahead) potential scenarios of future time type, severity and risks of breakdown. Collected, processed, integrated and aggregated data will be structured and fed in real-time into networked simulators enabling advanced analysis and visualization to provide smart services, higher fidelity and prediction accuracy for production and manufacturing assets management. Different schemes for data collection configuration are implemented (ranging dedicated IoT devices with independent methodologies) to collect raw data from sensors, pre-process and aggregate the information, and share the results with other services through an IDS connector. The Z-Bre4k IDS connectors have a reference architecture to ensure data sovereignty and integrity throughout this collection phase.

        Data storage
        Comment:

        Within Z-BRE4K, a novel software application will be developed and added to I-LiKe Machine’s tech stack: A Knowledge Base System (KBS) to extract, store, and retrieve all the relevant information enriched with semantic annotations to guarantee a prompt identification of criticalities in the process.

          ICT solutions for next generation data storage and information mining
          Comment:

          The KBS represents a step towards the implementation of novel and innovative solutions, still not common practice in manufacturing. The data repository is in the form of Triplestore which is designed to store identities conducted from triplex collections representing a subject-predicate-object relationship. On top of the repositories a reasoning engine creates relationships and allows to extract knowledge to be consumed by other applications.

        Data processing
        Comment:

        Z-BRE4K solution will provide an ontology with annotation mechanisms that include all the necessary information to perform predictive maintenance analysis to achieve extended operating life of assets in production facilities. This context includes the sensorial data processing to be used as simulation inputs and the simulation process itself (physics-based modelling). It also includes the machine learning application as well, due to the usage of prediction models in data-driven modelling. Knowledge Based System (KBS) will extract, store and retrieve all the relevant information enriched with semantic annotations to guarantee a prompt identification of criticalities. Shoop floor data is transformed into RDF (Resource Description Framework) data, a standard model for data interchange on the web, and stored in a triple store DB. Also, the M3 Gage platform serves for fast verification of the machine, condition monitoring, and as a data repository as well. It allows information interconnection from different data sources, and furthermore, the architecture proposed by AUTOWARE provides the ability to establish data processing and computing at the most appropriate abstraction level in the hierarchy: Field, Workcell/ Production Line, Factory and Enterprise. Different filtering and pre-processing algorithms are applied on the edge to clean real time raw data and reduce unwanted noise. In addition, convolutional neural networks are used to process high-throughput video streams, providing a non-time critical stream of features for cloud services.

        Data modelling
        Comment:

        Within Z-BRE4K a semantic data modelling is used for interoperability. Semantic representation is used for machinery, critical components, failure modes as well as optimal conditions. Statistical methods and machine learning algorithms are used in offline mode to discover patterns in the data and associate them with specific events (Pattern discovery, Association Rules), as well as infer causality events in cases such as quality control (Quality Estimation based on Machine Status.

      System modelling, simulation and forecasting
      Comment:

      The modelling and simulation methods used in Z-BRE4K are mainly Finite Element Methods (FEM) where complex problems and processes from the real world are being simplified and solved using a numerical approach. First, an accurate digital model of the geometry and material properties of all involved objects, boundary conditions between these objects and process data is created (i.e. forces or temperature). 

      Then, the complex shape of all objects involved, is approximate using a finite number of simple geometries (i.e. triangles) which simplify the complex mathematical problem. A computer is capable of solving these mathematical operations at a rate impossible for humans and thus enables the user to analyse various scenarios, ranging from mechanical strains within the objects to rise in temperature or material fatigue. This information can be used to predict the remaining useful lifetime of a given tool.

      Simulation platform is deployed by the physical equipment to create intuitive maintenance control and management systems. The Z-BRE4K’s platform simulation capabilities will estimate the remaining useful life calling for maintenance and suggesting the optimal times to place orders for spare parts, reducing the related costs. The increased predictability of the system and the failure prevention actions will reduce the number of failures, maximise the performance, reduce the repair/recover times reducing further the costs.

      By applying time series analysis, we are able to detect special events that are known (Fault detection) or unknown (anomaly detection) during production. This information, correlated with sensor readings is fed into machine learning algorithms that create estimates of Remaining Useful Life (RUL), Health Indexes (HI) and forecast upcoming events (Likelihood of Failure). Special focus is given in techniques that can provide real-time information (Fast computation and high accuracy) as well as being scalable in order to use new data as it becomes available. Additional information such as meantime between failures based on historical data or an expert opinion, CAE data, quality control data, real time states etc. are also used to the design of machine simulators.

      Programming Frameworks – Software Development Kits (SDKs)
      Comment:

      The AUTOWARE apps development will be supported and linked to the FIWARE. AUTOWARE approach is to connect and extend the FIWARE for Industry resources and assets to the end of digital automation community, so synergies emerge both in terms of multi-sided business opportunities and amount of resources that are made available to the cognitive automation community to build their autonomous solutions and apps.

      Operating systems
      Comment:

      The choice of the AUTOWARE platform was based on the fact that is an open source project, and that is hardware agnostic.

      ICT Architectures
      Comment:

      The Z-Bre4k solution is based on the blackboard architectural model. This model is mainly an artificial intelligence approach, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution. Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state. In this way, the specialists work together to solve the problem. The blackboard model was originally designed as a way to handle complex, ill-defined problems, where the solution is the sum of its parts. The blackboard component acts as a central repository system. The rest of the software applications (components) act independently at the common data structure stored on the blackboard, they respond on changes and create new reactions according to changes. Interaction between components is implemented via the blackboard.

        Collaborative and decentralized application architectures and development tools
        Comment:

        Orion is a C++ implementation of the NGSIv2 REST API binding developed as a part of the FIWARE platform that allows the management of the entire lifecycle of context information including updates, queries, registrations and subscriptions. It is an NGSIv2 server implementation to manage context information and its availability allowing subscription to context information so when some condition occurs notifications are sent. The Industrial Data Space foster secure data exchange among its participants, while at the same time ensuring data sovereignty for the participating data owners. The architecture of the Industrial Data Space does not require central data storage capabilities but follows a decentralized approach, meaning that data physically remain with the respective data owner until they are transmitted to a trusted party. Thus, the Industrial Data Space is not a cloud platform, but an architectural approach to connect various, different platforms.

DIY4U | Open Innovation Digital Platform and Fablabs for Collaborative Design and Production of personalised/customised FMCG

01-11-2019

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31-10-2022

Calltopic: DT-FOF-05-2019

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Comments Open innovation technologies will be deployed and adapted to first design and then realize the digital interfaces.
 Information and communication technologies Taxon title Information and communication technologies
 Cybersecurity Taxon description Security for information and infrastructure related to digital systems 
 Cybersecurity Taxon description Security for information and infrastructure related to digital systems 
 Specific Objective 1: Excellent, responsive and smart factories & supply chains Comments Open innovation technologies will be deployed and adapted to first design and then realize the digital interfaces.

MANUWORK | Balancing Human and Automation Levels for the Manufacturing Workplaces of the Future

01-10-2016

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31-03-2020

Calltopic: FoF.2016.04

: 9 | : 0
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Description A critical target will be the active and passive use of information from workers, without storing any personal data, in order to maintain the confidentiality of the person involved.
Comments MANUWORK Augmentede Reality based information distribution system will support the operators/workers with delivering work instructions at the working station.
 Periodic Reporting for period 1 - MANUWORK (Balancing Human and Automation Levels for the Manufacturing Workplaces of the Future) Result description communication (between managers and employees).
 Complex structures, geometries and scale Comments MANUWORK Augmentede Reality based information distribution system will support the operators/workers with delivering work instructions at the working station.

THOMAS | Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems

01-10-2016

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30-09-2020

Calltopic: FoF.2016.02

: 13 | : 8
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 THOMAS Network of Resources and Station Controller Result description A service-based integration infrastructure will facilitate the communication and information flow among the hardware and software components involved in the execution.
 Information and communication technologies Taxon title Information and communication technologies
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.

X-ACT | Expert cooperative robots for highly skilled operations for the factory of the future

01-10-2012

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30-09-2015

Calltopic: FoF.ICT.2011.7.1

: 11 | : 3
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Description will be based on industrial applications, bringing dual arm robots to a maturity level that allows the introduction in industry, not as experimental equipment but as well proven and reliable production technologies
Comments The integration with existing systems has been proven however the uptaking of the new technologies requires the introduction of new equipment (e.g. PCs running ROS).
 OLP XML Exporter Result description -Need to implement a mechanism to export Process Simulate information (operations, positions, frames) into the X-act controller database.
 Information and communication technologies Taxon title Information and communication technologies
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.
 UPSCALE - Compatibility and integration with existing production environment and value chains Comments The integration with existing systems has been proven however the uptaking of the new technologies requires the introduction of new equipment (e.g. PCs running ROS).

ROBO-PARTNER | Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future

01-11-2013

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30-04-2017

Calltopic: FoF.NMP.2013-7

: 10 | : 10
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Description The project will be based on industrial applications, bringing its development to a maturity level that allows the introduction in industry, as well proven production technologies.
Comments Integration and communication architecture PILZ, ROBOSOFT, JATORMAN, GROBO, TRIMEK - Production planner for human robot collaborative assembly systems - Integrators/designers of human robot collaborative
 Integration and communication architecture Result title Integration and communication architecture Result description Centralized coordination of resources via a service oriented architecture Data repository, messaging and communication mechanisms provision
 Control technologies Taxon title Control technologies
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.

AUTORECON | AUTOnomous co-operative machines for highly RECONfigurable assembly operations of the future

01-10-2011

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30-09-2014

Calltopic: FoF.NMP.2011-2

: 11 | : 3
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Description At the line control level a service oriented architecture will enable: • Autonomous communication between resources for deciding on adaptation actions • The effortless integration of new equipment
 Line level control software Result description task sequences by software algorithm Develop software that executes the generated schedule sending commands to resources and sequences them No PLC for sequencing robots cooperation ROS used for communication
 Information and communication technologies Taxon title Information and communication technologies
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.

Associated results & demonstrators

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VPS | Versatile Production System

Project: IMPROVE

Type:

Updated at: 22-06-2018

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Description The VPS is a hybrid technical process, considering both continuous and discrete process elements with a focus on the information processes and communication technologies from the plant level down to the

sustainablySMART-204943 | Periodic Reporting for period 1 - sustainablySMART (Sustainable Smart Mobile Dev...

Project: sustainablySMART

Type:

Updated at: 08-03-2019

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Title Periodic Reporting for period 1 - sustainablySMART (Sustainable Smart Mobile Devices Lifecycles through Advanced Re-design, Reliability, and Re-use and Remanufacturing Technologies)
Description The project sustainablySMART will change the lifecycle of mobile information and communication technology devices by developing new product design approaches.
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