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Development of a Cloud-Based Industrial IoT Demo Environment for Client Showcasing and Fleet Management
  1. case
  2. Development of a Cloud-Based Industrial IoT Demo Environment for Client Showcasing and Fleet Management

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Development of a Cloud-Based Industrial IoT Demo Environment for Client Showcasing and Fleet Management

eleks.com
Manufacturing
Information technology
Business services

Challenges in Cloud Integration for Industrial IoT Solutions

LCM required a reliable technology partner to explore cloud-based fleet and data flow management services for its industrial IoT solution. Challenges included the need for a flexible data acquisition system, seamless edge-to-cloud integration, and demonstrating cloud capabilities to clients through a scalable test environment.

About the Client

A German research and development company specializing in integrating mechatronics, automation, digital product development, and artificial intelligence into cohesive solutions.

Goals for Cloud-Based Industrial IoT Implementation

  • Create a cloud test environment to showcase LCM's industrial IoT solutions to clients
  • Validate technical feasibility of cloud-based fleet management and data flow services
  • Establish a foundation for implementing scalable cloud solutions in industrial IoT
  • Enable real-time data visualization and predictive analytics for hardware monitoring

Core System Functionalities and Features

  • Cloud test environment setup with Microsoft Azure infrastructure
  • Edge-to-cloud data ingestion pipeline for IoT telemetry
  • Fleet management service deployment (Azure Arc with Kubernetes)
  • Real-time data visualization via Grafana dashboards
  • Advanced access control and configuration hosting capabilities

Cloud and Data Management Technologies

Microsoft Azure services
Azure Data Explorer
Azure Arc with Kubernetes cluster
Grafana for visualization

System Integration Requirements

  • Edge hardware systems with Azure cloud infrastructure
  • Existing local data management tools with cloud analytics platforms
  • IoT telemetry streams with real-time visualization dashboards

Performance and Scalability Requirements

  • High scalability for handling large-scale IoT data streams
  • Low-latency data processing for real-time monitoring
  • Enterprise-grade security for data transmission and storage
  • High availability of cloud infrastructure and services

Expected Business Impact of Cloud-Based Industrial IoT Solution

The project will enable LCM to demonstrate cloud capabilities to clients through a deployable demo environment, accelerate internal development processes with robust data acquisition systems, and establish a foundation for future cloud-based manufacturing IoT solutions. The partnership with ELEKS will enhance technical expertise and create opportunities for joint implementation of scalable industrial IoT projects.

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