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Development of a Scalable Trusted Hardware Layer for Industrial IoT Applications
  1. case
  2. Development of a Scalable Trusted Hardware Layer for Industrial IoT Applications

Development of a Scalable Trusted Hardware Layer for Industrial IoT Applications

dac.digital
Manufacturing
Supply Chain
Logistics
Agriculture

Industrial Reliability Challenges and Hardware Limitations

The client faces safety concerns and scalability limitations with existing prototype hardware for industrial monitoring, hindering mass deployment and integration in sectors such as manufacturing, agriculture, and logistics. There is a critical need for a robust, safe, and customizable hardware platform capable of real-time data processing and seamless connectivity in diverse industrial environments.

About the Client

A mid-sized industrial enterprise seeking to enhance operational efficiency through reliable IoT hardware solutions that support data collection, processing, and connectivity in real-world environments.

Goals for Developing a Robust Industrial Hardware Platform

  • Create a new hardware device from scratch to replace existing prototypes, addressing safety concerns and facilitating mass production.
  • Design a trusted hardware layer with high customization to meet diverse industry needs.
  • Implement advanced connectivity options including Bluetooth 5.0, CAN, RS232, I2C, USB, Ethernet, GPS, and GSM/LTE to ensure reliable data transmission in areas with limited internet access.
  • Incorporate edge computing capabilities to enable local data processing for improved decision-making and operational efficiency.
  • Ensure the hardware supports integration with existing industrial sensors and machines to optimize real-time monitoring and control.
  • Achieve a scalable and reliable hardware solution suitable for applications in smart manufacturing, agriculture, and supply chain management.

Core Functional Requirements for Industrial IoT Hardware

  • Robust and safe hardware design suitable for industrial settings
  • High degree of customization to adapt to various industrial applications
  • Multiple connectivity options including Bluetooth 5.0, CAN, RS232, I2C, USB, Ethernet, GPS, and LTE/GSM
  • Edge computing capability for local data processing and analysis
  • Data integration and communication with sensors and machine signals
  • Remote management and real-time data transmission features
  • Ability to process and analyze data locally without dependence on centralized data centers

Preferred Technologies and Architectural Approaches

Edge computing platforms
Wireless communication protocols (Bluetooth 5.0, LTE, GSM)
Industrial communication standards (CAN, RS232, I2C)
Robust embedded hardware components suitable for industrial use

External Systems and Data Sources Integration

  • Sensors and machine signals within industrial environments
  • Existing manufacturing or process control systems
  • Remote management platforms
  • Data analytics and visualization tools for operational insights

Non-Functional Requirements and Performance Metrics

  • Scalability to support deployment of hundreds to thousands of units
  • High reliability and safety standards suitable for industrial use
  • Real-time data processing with minimal latency
  • Secure data transmission and hardware protection mechanisms
  • Operational uptime of at least 99.9%
  • Compliance with industry safety and electromagnetic standards

Expected Business Impact and Project Deliverables

The development of this trusted hardware layer aims to significantly improve operational transparency, safety, and scalability across industrial sectors such as manufacturing, agriculture, and logistics. The solution is expected to enable real-time monitoring, reduce hardware safety concerns, and facilitate large-scale deployment. This will result in enhanced decision-making, increased efficiency, and a broader market presence, similar to the initial project’s success in streamlining operations and expanding IoT capabilities.

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