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Scalable Real-Time Location and Asset Management System for Industrial Safety and Optimization
  1. case
  2. Scalable Real-Time Location and Asset Management System for Industrial Safety and Optimization

Scalable Real-Time Location and Asset Management System for Industrial Safety and Optimization

wearenotch.com
Manufacturing
Supply Chain
Logistics

Industry Challenges in Asset Visibility and Safety Compliance

The client faces difficulties in managing fluctuating data traffic and asset movements within industrial environments, leading to delays, safety concerns, and suboptimal workflow efficiency. They require scalable solutions to improve real-time location tracking, safety standards, and predictive maintenance capabilities in demanding environments.

About the Client

A mid-sized industrial manufacturing company specializing in complex equipment production, seeking to enhance safety, asset tracking, and operational efficiency through IoT and AI technologies.

Goals for Enhancing Asset Tracking, Safety, and Operational Efficiency

  • Develop a scalable and adaptable real-time location tracking system to improve visibility of assets and personnel across various environments.
  • Implement safety standards compliance, including certification for hazardous environments such as ATEX.
  • Enable continuous product improvements to address evolving industry challenges through iterative development.
  • Automate enforcement of security and safety rules based on real-time position data.
  • Establish predictive analytics capabilities using real-time data to anticipate maintenance issues and optimize operational decision-making.

Core Functional Specifications for the Location and Asset Management System

  • Real-time data collection from BLE devices via onsite gateways and beacons.
  • Cloud-based data processing and storage for scalable access.
  • Asset and personnel location visualization dashboards.
  • Automated enforcement of security and safety protocols based on location data.
  • Support for safety certifications such as ATEX for environments with hazardous conditions.
  • Predictive AI modules for asset maintenance and operational optimization.
  • Configurable alerts and notifications for safety breaches or equipment anomalies.

Technology Stack and Architecture Preferences

Bluetooth Low Energy (BLE)
Cloud computing platforms
Microservice architecture
AI and machine learning integration
Agile development methodologies (Scrum, Kanban)

External Systems and Data Sources Integration Needs

  • Asset management systems
  • Safety and compliance databases
  • AI analytics platforms
  • Notification and alerting systems
  • External environment data sources for contextual awareness

Non-Functional System Criteria

  • High scalability to manage fluctuating data traffic and device connectivity
  • Low latency data processing to support real-time location accuracy
  • Robust security measures to ensure data confidentiality and safety compliance
  • System availability of 99.9% uptime
  • Support for industrial environments with certified hardware for hazardous zones

Projected Business Benefits and Operational Improvements

The implementation of this real-time location and asset management system is expected to significantly enhance operational efficiency, safety compliance, and asset utilization. Goals include reducing delays and operational roadblocks, achieving high scalability, and enabling predictive maintenance that minimizes downtime and costs. The system aims to provide real-time insights, improving decision-making and safety standards across the organization.

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