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
Booking
Customs Declarations
Transport Service Description
Transport Status
Waybills
Computing and Processing
Big Data Management and Analytics
Cloud
Edge
Fog
Knowledge Graphs
Machine Learning
MIST
Stream Processing
Connectivity
Architecture
Blockchain
Connectivity Interfaces
Technologies (Bluetooth, Ethernet, Wifi)
Data Management, Simulation and Dashboards
Dashboards
Data Fusion
Data Governance, Integrity, Quality Management and Harmonization
Event Handling
Open Data
Simulation
Statistics and Key Performance Indicators (KPIs)
Devices
IoT Controllers
IoT Gateways
IoT Sensors
Tracking Sensors
Digitisation Frameworks
Control Towers
Data Pipelines
e-Freight
e-Maritime
National Single Windows
Port Community Systems
Industrial IoT Sectors
Rail Sector Active Predictive Maintenance
IoT Secuirty, Privacy and Safety Systems
PKI Technology
Project Results
CHARIOT Capacity Building and Trainings
CHARIOT Deliverables
CHARIOT Publications
SELIS Deliverables
SELIS Publications and Press Releases
Safety, Security and Privacy Systems
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International Organisations
Risk Assessment and Management
Risk Management
Safety and Security Assessment
Source Code Analysis
Sectors and Stakeholders
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Banks, investors and other funding providers
Custom Authorities
Facilities, Warehouses
Freight Forwarders
Inland Waterways
Multimodal Operators
Ports and Terminals
Railway
Retailers
Road Transport
Shippers
Shipping
Smart Buildings
Trusties and other Intermediary Organizations
Urban and Countryside Logistics
Urban Logistics
Standards
Good Distribution Practices
International data standards
International Organization for Standardization (ISO)
UN/CEFACT
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
Technologies
5g
Agile Deployment, Configuration Management
Business Applications
Business Integration Patterns, Publish-Subscribe
Cloud Technologies/Computing, Services Virtualisation
Cognitive
Community Node Platform and Application Monitoring
Connectivity Technologies (Interfaces and Block Chain)
Hybrid S/T Communication and Navigation Platforms
IoT (Sensors, platforms)
Mobile
Physical Internet (PI)
Public key infrastructure (PKI)
Radio-frequency identification (RFID)

CHARIOT Deliverables

D3.4 IoT Safety Supervision Engine (ISSE) (ver. 1)

 


Bora Caglayan 31/05/2019 00:00:00

1 Executive Summary

CHARIOT Safety Supervision Engine is one of the core components of the CHARIOT Cognitive Platform. In summary, safety supervision engine checks the data streams in an industrial IoT Setting to enforce safety supervision policies. To enable this functionality, safety supervision engine keeps up to date topology, enforced simple or complex rules, anomaly detectors and dependencies of an industrial IoT setup. The engine can run on multiple fog nodes. The topology provided is kept consistent across various fog nodes that exist in an industrial IoT deployment. The safety supervision engine is used in the CHARIOT Platform by the other engines of the platform and keeps a consistent representation of the state across many nodes in an industrial IoT setup. 

 

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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