Project results

Trusted Networks with Wireless & Wired Industrial Interfaces

A software-defined wireless industrial interfaces for data communication, characterized by predictability and determinism, high reliability and trustability and low consumption, while reducing the installation cost of new-wired infrastructure. i4QTN ensures reliable data collection, providing connectivity to industrial data sources through Trusted Networks able to assess and ensure precision, accuracy, and reliability.

QualiExplore for Data Quality Factor Knowledge

A web-based software tool for the visualisation of information quality characteristics and quality factors using the Evolutional Data Quality Concept and a Data Life Cycle: data collection, data storage, data analysis, data distribution, data use and data deletion.

Edge Workloads Placement and Deployment

A toolkit for deploying and running AI workloads on edge computing environment, prevalent in manufacturing facilities, using a Cloud/Edge architecture. i4QEW provides interfaces and capabilities for running different workloads on different industrial devices, efficiently on the edge, including placement and deployment services.

Data Quality Guidelines

A complete guide for planning and performing an information flow analysis to identify the relevant data sources, data storages, communication channels and data users, and model relevant factors that influence data quality, including technical (hardware), organisational (human activities), and programmatic factors (in software).

Data-driven Continuous Process Qualification

An intelligent and automated Continuous Process Qualification (CPQ) micro-service for rapid monitoring of stability, capability, and performance of manufacturing processes. i4QPQ is based on real-time data with improved smart data analytics and algorithms, for achieving faster process approval and in-line continuous process validation after process reconfiguration.

Digital Twin simulation services

Allows industrial companies to achieve a connected 3D production simulation, with a digital twin for manufacturing enabling virtual validation/visualisation and productivity optimisation using pre-existing and data from different factory levels (small cell to entire factory).

Services for Data Analytics

Provides a set of specialised analytic functions and incremental algorithms, operating on data streams with fast incremental updates, suitable for analytic processing of high-speed data streams.

Manufacturing Line Reconfiguration Toolkit

A collection of optimisation micro-services that use simulation to evaluate different possible scenarios and propose changes in the configuration parameters of the manufacturing line to achieve improved quality targets. i4QLRT AI learning algorithms develop strategies for machine parameters calibration, line setup and line reconfiguration.

Blockchain Traceability of Data

Provides tools to ensure data trustiness and full traceability, enhancing the level of trust by employing a blockchain based data service, improving trust and acceptability by providing security and trust in the data that flows directly to the blockchain, serving as a single point of truth, preserving provenance and supporting non-repudiation.

IIoT Security Handler

A cloud service that distributes trust across the architecture using a hardware secure module as trust anchor point. Once the trust is distributed, the software enables the mechanisms to expose cryptography operations that other i4Q Solutions can consume, adjusting security and safety policies at different levels to ensure trustability and privacy of data.

Trusted Networks with Wireless & Wired Industrial Interfaces

A software-defined wireless industrial interfaces for data communication, characterized by predictability and determinism, high reliability and trustability and low consumption, while reducing the installation cost of new-wired infrastructure. i4QTN ensures reliable data collection, providing connectivity to industrial data sources through Trusted Networks able to assess and ensure precision, accuracy, and reliability.

Analytics Dashboard

A reporting interface that allows to monitor industrial data with fully flexible visualization drill down charts and flexible dashboard to provide meaningful analytics to users in real time basis using incremental algorithms.

Rapid Quality Diagnosis

A micro-service for providing rapid diagnosis of manufacturing line on the possible cause of failures, evaluating data fidelity, product-quality and process condition, and providing action recommendations for sensor/data processing recalibrations, process line/machine reconfiguration or maintenance actions.

Blockchain Traceability of Data

Provides tools to ensure data trustiness and full traceability, enhancing the level of trust by employing a blockchain based data service, improving trust and acceptability by providing security and trust in the data that flows directly to the blockchain, serving as a single point of truth, preserving provenance and supporting non-repudiation.

AI Models Distribution to the Edge

A multi-tier infrastructure to address the management of AI-based workloads in a hybrid cloud edge manufacturing environment. i4QAI integrates a policy-based distribution mechanism for smart manufacturing environments scalability. The i4QAI AI model distribution isd coordinated with the workload distribution mechanism to ensure that the right set of AI models is made available.

Infrastructure Monitoring

Provides an ensemble of monitoring tools for smart manufacturing workload orchestration and predictive failure alerting, including monitoring the health of workloads and productively alerting and taking corrective actions when a predicted problem is detected. i4QIM supports industrial companies to reach autonomous operation in manufacturing environments.

Cybersecurity Guidelines

A guide that includes a set of recommendations to enable multilayer cyber security features in Industrial Internet of Things (IIoT), enabling IIoT devices to interact with industrial platforms securely in all stages in a manufacturing scenario. i4QCSG includes an architecture and methodology to provision signed certificates with Hardware Security Module (HSM) and trusted material to devices’ Trusted Platform Module (TPM).

Data Repository

A distributed storage system for supporting a high degree of digitisation in companies with most manufacturing devices acting as sensors or actuators and generating vast amounts of data. i4QDR is able to absorb large volumes of data coming into the system at high speeds. i4QDR is elastic to adapt the required computing resources to the existing demand and ready to use additional resources, either local to the factory or from remote systems like public or private clouds.

Prescriptive Analysis Tools

A micro-service consisting of simulation models as a service, taking as input the manufacturing resources, current production planning and process condition, and proposing process configuration parameters, ensuring that non-simulation experts may also exploit the prescriptive analyses.

QualiExplore for Data Quality Factor Knowledge

A web-based software tool for the visualisation of information quality characteristics and quality factors using the Evolutional Data Quality Concept and a Data Life Cycle: data collection, data storage, data analysis, data distribution, data use and data deletion.

Manufacturing Line Data Certification Procedure

Provides an audit procedure applied to the manufacturing resources (machine, cell or manufacturing line) for ensuring that the data resulting from the manufacturing processes are accurate and reliable, providing recommendations for process reconfiguration, audit strategies, certificates and regulations. i4QLCP addresses definition and vocabulary, frame and application areas, prerequisites, planning, implementation, controlling, improvement and documentation of data-driven qualification, reconfiguration, and quality control.

Manufacturing Line Reconfiguration Guidelines

A multi-media user guide for adapting the optimisation reasoning rules according to the achieved results for machine parameters calibration, line setup and line reconfiguration. i4QLRG allows to increase productivity and reduce the efforts for manufacturing line reconfiguration through AI, considering both automated approaches and collaboration with humans.

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INFO

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 958205. The content of this website does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content.

COORDINATION

Project Coordinator

Stefanos Vrochidis (CERTH) 

 

Deputy Coordinator

Anastasios  (Tasos) Karakostas (CERTH)

Technical Coordinator

Raul Poler (UPV)

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