Yantriki

Yantriki an IoT Solution

Unlock the value created by the CONVERGENCE of the PHYSICAL and DIGITAL worlds.

Vision for Industry 4.0

  • Product to be manufactured contains all necessary information  on its production requirements
  • Flexible configuration of production steps
  • Flexible decision making on the basis of current situation
  • Human beings as essential decision-makers, creative planners and controllers

Design Principals of I-IoT 4.0

  • Interoperability : The ability of cyber-physical systems (i.e. work piece carriers, assembly stations and products), humans and Smart Factories to connect and communicate with each other via the Internet of Things and the Internet of Services
  • Virtualization : A virtual copy of the Smart Factory which is created by linking sensor data (from monitoring physical processes) with virtual plant models and simulation models
  • Decentralization : The ability of cyber-physical systems within Smart Factories to make decisions on their own
  • Real-Time Capability : The capability to collect and analyze data and provide the insights immediately
  • Service Orientation : Offering of services (of cyber-physical systems, humans and Smart Factories) via the Internet of Services
  • Modularity : Flexible adaptation of Smart Factories for changing requirements of individual modules

What are “your things”?

Accelerators for IoT 

Centralised Monitoring
Connected Factories
Predictive Maintenance
Device Simulation
Energy
Smart Factories
Assets Health
Retail
Security
Supply and Chain

Industrial IoT unlocks Business Opportunity

Leverage data from connected products and systems to increase revenues, services and profit

Increase efficiencies to reduce operations downtime while improving throughput

Accelerate innovation impacting product, service and factory operations that is secure and scalable

Unlock new business models and opportunities such as product – as – a – service , scaling to new markets

IoT Integration Efficiency

1) Data Collection and Alerts

2) Asset tracking & Geo Fencing

3) Usage based billing

 

 

1) Securely log into remote devices and products to diagnose issues

2) Remote servicing – diagnose and repair problems

 

1) Automate software deployment to assets

2) Distribute files to devices. Content includes asset-specific files, doc, ads

 

1) Store and access asset configurations

2) Compliance Management

3) Telematics

 

Yantriki in Manufacturing

Self Create & Deploy Apps 

  • Yantriki is an end-to-end industrial innovation platform that enables you to rapidly create and deploy industrial apps
  • Contains integrated platform components built around version of data
  • Create web & mobile apps without writing any codeDeliver industrial experiences with real-time connected asset and system data
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Agile and Flexible

  • Open, flexible architecture that is designed to compliment and extend existing investments
  • Yantriki can be deployed in any way (cloud, on premise & hybrid)
  • Connect data from anywhere and deliver applications to anyone on nearly any device(including AR hardware)
  • Enables businesses to build, deploy and maintain on their own terms
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Wrap & Extend Existing  Technology 

  • Yantriki is designed to wrap and extend existing technologies –like other applications, enterprise systems and cloud technologies
  • Enables companies to keep their existing standards while taking advantage of the power and capabilities of Yantriki
  • Yantriki makes industrial innovation fast and easy through a broad set of deep capabilities designed to work

Use Cases Scenarios

Use Case
Definition
Remote Monitoring
Track products remotely by location, performance, utilization and condition to monitor, troubleshoot and diagnose issues
Remote Service
Expand real time product and asset monitoring with embedded diagnostics to enable remote access, remote service of assets including bi directional file transfer or remote software updates
Service Intelligence
Deliver real time service intelligence and insights by aggregating information from collecting data from multiple, diverse systems (not assets or products)
Service Parts Management
Monitor and optimize spare parts / equipment inventory (asset location, asset utilization) to enable equipment availability with the least amount of parts related disruption
Condition Based Service / Maintenance
Collect service product information (sensor readings, service history, environmental conditions) and use rules based engine to drive service / maintenance decisions
Predictive Service / Maintenance
Collect service product information (sensor readings, service history, environmental conditions) and use analytical models to predict when a asset will be ready for service vs. a reactive (break fix) service approach
Digital Service Instructions
Create and deliver digital content (i.e., service procedures) via 3D or Augmented Reality in order to improve service/maintenance execution
Customer Self Service
Customers diagnose and resolve issues themselves via AR experiences or connected applications to maximize product availability and uptime and improve customer satisfaction
Service Systems Visibility
Create a service dashboard to deliver real time service insights by collecting data from multiple, diverse systems (not assets or products)
Use Case
Definition
Operational Intelligence

Collect data from multiple, diverse systems and assets to create a dashboard that monitors an operational process and delivers real time insights

Process (Line, Stall)

Monitor and track operational assets for line health and performance

Quality

Monitor product quality in real-time with notifications or alerts for anomalies, and for reporting quality metrics (e.g. OEE)

Supply Chain Logistics (Inventory / Warehouse Management, Tools Tracking)

Monitor inventory so as to optimize logistics, maintain inventory levels, prevent quality issues, detect theft, etc.

Asset Monitoring
Monitor and track asset health and performance, and potentially deploy machine learning to assess non-standard activity based on known patterns (anomaly detection), so as to deliver insights via unified real-time visibility of KPIs

Asset Maintenance
Real-time monitoring of equipment and machinery for onsite preventative maintenance and repair of operational assets

Environmental / Health and Safety

Monitor and track the operating conditions and environment in/around an operations process, so as to identify human and asset safety concerns / hazards. Deliver real-time insights, warnings and remedial instructions, potentially via AR experiences.

Supervisory Control

Operator access to key monitor and control properties of key assets

Remote / Autonomous Operations

Remote access and autonomous control of key properties; Enable customers to remotely control and optimize their products and assets to reduce operational costs, mitigate safety risks, improve business processes, and increase employee and customer satisfaction

Digital Work Instructions
Deliver digital content (i.e., work instruction, manufacturing processes, work instructions, safety procedures) via 3D or Augmented Reality in order to improve training, quality validation, maintenance execution, and operations monitoring
Use Case
Definition
Usage driven Requirements


Evaluate real world asset, sensor, and business system data to inform future product design iterations (e.g., product requirements definition, prioritization of features, options and variants, market segmentation, life cycle costs, and supply chain coordination and planning)


Designing for Connectivity


Design products, software, systems and systems of systems for connectivity

Digital Design Review


Integrate CAD, PLM, product data into AR or VR experiences to enable design reviews with dispersed teams for real-time collaboration


Digital Twin


Digitally represent a manufactured product that is connected to the physical counterpart so as to analyze real world usage data, simulation models and configurations for future product enhancements, recalls, etc.

Engineering Systems Visibility
Collect and monitor data from multiple, diverse design systems to deliver real time insights


Use Case
Definition
Usage based Billings / Monetization



Integrate product usage and performance data to enable usage, performance, or outcome based pricing and subscription models that create disruptive business models, and increase value captured and market penetration opportunities.


Usage based Marketing and Upsell (aka Real Time Market Insights)


Analyze usage and condition data across products and customers to trigger automated cross-sell and up-sell alerts and identify opportunities for new market segments, products, or services which align to customer needs

Immersive Product Demonstrations



Deliver interactive, at-scale, in-context product demonstrations using augmented or virtual reality to enhance customer experiences and alignment, and increase close rates



Realizing IoT

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