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SAFIRE Scenario

Innovative Platform to Optimise the Products and Factories of the Future Today

SAFIRE aims to enhance the process of information management and data usage for manufacturers and offers a medium for advanced big data analysis and situation-based process optimisation, easy to adapt in the manufacturing environment, and suitable for different manufacturing and smart product applications. he SAFIRE platform is composed of four service modules that provide the tools needed to set-up and configure SAFIRE to make real-time improvements in manufacturing processes, equipment and products. The SAFIRE platform is then integrated and embedded within the industrial application environment as an operating system extension that delivers automated performance improvements through reconfigurations in real-time with minimal operator intervention. The following describes the steps for a typical deployment of SAFIRE.

SAFIRE Services Configuration

SAFIRE platform is composed of four service modules where the specific analysis and configurations are made before the SAFIRE platform is deployed:

  • Predictive Analytics (PA) component

  • Situation Determination (SD) component

  • Optimisation Engine (OE)

  • Security Framework (SPT)

Each of the SAFIRE modules has an associated methodology and set of tools for setting-up and configuring SAFIRE for integration and deployment for a specific application.

Integration and Deployment

Individual services are connected to work together, exchanging data and pushing their results to the common SAFIRE communication channel. The integrated services are adjusted as needed to interact with the application systems and parameters are adjusted (e.g. data exchange rate or amount of data traffic allowed). The configured SAFIRE platform is then deployed and communicates with the smart product, production system or smart factory operating system extending their capibilities with real-time optimisations and reconfigurations. The SAFIRE architecture also supports some components to be deployed locally and embedded with the manufacturing system or smart product.

Predictive Analytics (PA)

  • Data Ingestion

  • Data and Prediction Transformers

  • Data Cleaners

  • Data Storage

  • Visualisation and Charting

  • Customisable Dashboards

Situation Determination

(SD)

  • Monitoring Data Model

  • Multiple Types of System Monitors

  • Situation Parser

  • Situation Analyser

  • Monitoring Repository

  • Ontology Management

Optimisation Engine (OE)

  • Factory Description Language

  • Resource & Timing Constraints

  • Observable Metrics

  • Control Metrics

  • Key Objective Metrics

  • Optimisation Algorithims

Security Framework (SPT)

  • Declarative Security Policy Language

  • Policy Composition

  • Policy Enforcement Points

  • Policy Visualisation

  • Management & Admin

  • Infrastructure Integration

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Application Analysis and Scenario Definition

Industrial and business goals, customer expectations and needs, as well as particularities of the selected application scenario are collected, analysed and structured to create the specifications from the business point of view that will be used to configure the SAFIRE Platform.  This step is usually carried out as a collaboration between a SAFIRE expert, industrial application expert that knows the target system or product, and an plant or equipment operator or representative product user.

Each SAFIRE Component includes Configuration Tools and Methods for Many Types of Manufacturing and Smart Product Applications

Click on any of the images of typical applications to see the industry videos from three industrial organisations describing their experiences with SAFIRE deployments.