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AI Agent & 5G: Mining with drones & autonomous trucks

URN C24.5.727

Topics 5G monetization, Autonomous networks, Business assurance

Winner

Growing revenue by bringing AI-enabled network service quality assurance into autonomous transportation in the open-pit mining industry

Project companies

This Catalyst solution demonstrates how stakeholders within an autonomous mining ecosystem can collaborate to enhance operational efficiency, safety, and overall performance, while simultaneously driving cost savings and revenue growth. By leveraging key TM Forum and CAMARA assets, the project focuses on several transformative areas: 1. Real-time network anomaly detection and root cause analysis, powered by the Network Quality Assurance API (planned contribution to ODA). 2. Utilizing GB1057 (Private 5G Networks Capabilities) to enhance network service quality in privately-built 5G networks for open-pit mines. 3. Implementing CAMARA’s Quality on Demand (QoD) API to ensure high-quality network service delivery from the 5G private network. 4. Adhering to IG1218F (Autonomous Networks Framework) to support autonomous network operations in both open-pit mining and autonomous transportation. This approach aims to optimize operations while maximizing network performance and reliability in the autonomous mining sector.

Resources

C24.5.727_AI Agent & 5G Mining with drones & autonomous trucks

Project summary

SLA Service Guarantee O&M Solution – Mining Vehicle Scenario

C24.5.727_AI Agent & 5G Mining with drones & autonomous trucks

Background: Intelligent Scheduling and Quality of Service Ensuring for Vehicular Network Services Based on Network Quality

Project challenges and solutions:Intelligent Scheduling and Quality of Service Ensuring for Vehicular Network Services Based on Network Quality

Solutions(2): Intelligent Scheduling and Quality of Service Ensuring for Vehicular Network Services Based on Network Quality

Solutions(3): Intelligent Scheduling and Quality of Service Ensuring for Vehicular Network Services Based on Network Quality

Conclusion: Intelligent Scheduling and Quality of Service Ensuring for Vehicular Network Services Based on Network Quality

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