Factories of the Future
Media & Entertainment
Smart Cities
Smart Energy
Smart Ports
SME Opportunities
Societal Impacts
Technology Development
Telecoms Providers
5G Automotive
5G CAM Standardisation
5G Corridors
5G Multimodal Connectivity
5G Transport Network
Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning in big data
Artificial Intelligence & Machine Learning technologies
Big data
Big data algorithms
Big data analytics
Collaborative Classification and Models
Business Models, Process Improvement, Contract Management, KPIs and Benchmarking Indexes
Collaboration Risk and Value Sharing
Collaborative Planning and Synchromodality
Customs & Regulatory Compliance
Environmental Performance Management
Logistics Optimisation
Stock Optimisation
Supply Chain Corrective and Preventive Actions (CAPA)
Supply Chain Financing
Supply Chain Visibility
Common Information Objects
Customs Declarations
Transport Service Description
Transport Status
Computing and Processing
Big Data Management and Analytics
Knowledge Graphs
Machine Learning
Stream Processing
Connectivity Interfaces
Technologies (Bluetooth, Ethernet, Wifi)
Data Management, Simulation and Dashboards
Data Fusion
Data Governance, Integrity, Quality Management and Harmonization
Event Handling
Open Data
Statistics and Key Performance Indicators (KPIs)
Data market
Data ecosystem
Data marketplace
Data Platform
Data Providers
IoT Controllers
IoT Gateways
IoT Sensors
Tracking Sensors
Digitisation Frameworks
Control Towers
Data Pipelines
National Single Windows
Port Community Systems
Data Federation
Platform Federation
Industrial IoT Sectors
Rail Sector Active Predictive Maintenance
Data interoperability
Data interoperability mechanisms
Interoperability solutions
Platform interoperability
IoT Secuirty, Privacy and Safety Systems
PKI Technology
Data privacy preserving technologies
Privacy preserving technologies
Project Results
5G-SOLUTIONS Deliverables
5G-SOLUTIONS Publications
CHARIOT Capacity Building and Trainings
CHARIOT Deliverables
CHARIOT Publications
SELIS Deliverables
SELIS Publications and Press Releases
Project Results - 5g Routes
5G-ROUTES Deliverables
5G-ROUTES Innovation
5G-ROUTES Publications
Project Results - TRUST
TRUST Deliverable
TRUSTS Publications
Safety, Security and Privacy Systems
Access Management
Coordinated Border Management
Information Security
International Organisations
Risk Assessment and Management
Risk Management
Safety and Security Assessment
Source Code Analysis
Sectors and Stakeholders
Airports and Air Transport
Banks, investors and other funding providers
Custom Authorities
Facilities, Warehouses
Freight Forwarders
Inland Waterways
Multimodal Operators
Ports and Terminals
Road Transport
Smart Buildings
Trusties and other Intermediary Organizations
Urban and Countryside Logistics
Urban Logistics
Sectors and Stakeholders - TRUST
Audit & Law firms
Corporate offices
Financial Institutions
Secured Data
Secured Infrastructure
Secured Platform
Data sovereignty
Good Distribution Practices
International data standards
International Organization for Standardization (ISO)
World Customs Organization (WCO)
Supply Chain Management
Business Models, Process Improvement, Contract Management, KPIs and Benchmarking Indexes
Risk Management
Risk-Based Controls
Screening and tracking
Supervision Approach
Agile Deployment, Configuration Management
Business Applications
Business Integration Patterns, Publish-Subscribe
Cloud Technologies/Computing, Services Virtualisation
Community Node Platform and Application Monitoring
Connectivity Technologies (Interfaces and Block Chain)
Hybrid S/T Communication and Navigation Platforms
IoT (Sensors, platforms)
Physical Internet (PI)
Public key infrastructure (PKI)
Radio-frequency identification (RFID)

CHARIOT Deliverables

D2.6 CHARIOT IoT Cognitive Platform (final prototype)
George Theofilis, Orfeas Panagou, Antonis Mygiakis 15/07/2020 00:00:00

1 Executive Summary

 According to the CHARIOT DoA: “WP2 will develop an Open Cognitive IoT Architecture and Platform, called the CHARIOT Platform, that exhibits intelligent safety behavior in the diverse and complex ways in which the safety critical system and the IoT system will interact in a secure manner”. The CHARIOT IoT Cognitive Platform is designed to effectively utilise existing cognitive technologies and put them together with the innovations created in the project, such as the Blockchain component, to offer a complete solution for
managing communications between devices, middleware, storage, and data analytics and to address privacy and security issues out-of-the-box, as was originally described in D2.2 and further analyzed in this document.

The resulting Platform is based on the Open IoT Cognitive Architecture(2) and is implemented using open technologies and open source tools and frameworks. It is secure by design and the individual components communicate over a “publish / subscribe” messaging layer which promotes decoupling and scalability as well as extensibility of the solution. Moreover, a Continuous Integration / Continuous Delivery (CI/CD) process was used to speed up the development and delivery of new features as they become available. Automated unit testing ensures that newly committed code is secure and does not compromise the system.

This report follows the second iteration of the CHARIOT platform, following up the technical work that was described in D2.2, describing the main components and their updated functions. As done in the first version, this deliverable also captures and demonstratesthe core design decisions and architectural guidelines of the CHARIOT project ensuring the development of an IoT system and methodology that is capable of learning and adapting in pursuit of increased efficiency of Privacy, Security and Safety protection, and moving towards autonomous decisions applying Privacy, Security and Safety policies.

The report accompanies the development work carried out under WP2 and T2.2 “CHARIOT IoT Cognitive Platform” regarding the CHARIOT IoT Cognitive Platform. The software components that this report accompanies, and that were implemented in the context of T2.2, reside in the private GitLab repository(3) of CHARIOT. At the time of writing this report, the repository hosts 7 projects related to the work in this task. Each of the repositories also contains readme files and wiki pages that provide detailed technical descriptions
and guides for the software artefacts and are to be considered as additions to the present report.

This report starts off with a section dedicated to mapping CHARIOT outputs to tasks & subtasks as described in the latest DoA, following up with sections addressing the reviewers’ comments and providing an overview of the changes made in this document from the previous version. Additionally, the latest version of the platform requirements, as described in D4.9 are also included in this report.

After an updated high-level representation of the platform’s components, the report continues by describing the various validation & test case scenarios that were developed to facilitate the validation of the functionality and integration status of the various components used in the platform. The next section dives in a detailed technical analysis of the cognitive platform technology stack where the selected technologies and their roles are listed and explained.

The last chapter of this report outlines the process of deployment of the platform, by outlining the technologies that are used to automate the deployment process while also maintaining a high degree of scalability. This section offers both an outline of a generic deployment process and covers deployment scenarios for already existing systems and infrastructure, as is the case with the Living Labs. Finally, the conclusions section offers a summary of the decisions and lessons learned in the development of the
CHARIOT platform.


(2) - D2.1 Design specification for CHARIOT cognitive IoT Architecture

(3) - https://gitlab.com/chariot-h2020/

Reference Link

Attached Documents

The “CHARIOT IoT Search Index” aims to provide a web location where publications, articles, and relevant documents can be centralized hosted in a well-structured and easily accessed way.


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