Optimizing transportation routes and enhancing resource efficiency from massive real-Time data.
Edge Computing: Deploys lightweight rule engines on vehicle-mounted devices or edge gateways to achieve local data preprocessing
Stream Processing: Supports real-time filtering, aggregation, and transformation of data streams
Complex Event Processing: Capable of detecting correlated events across devices
End-to-End Encryption: Supports TLS/SSL encrypted transmission to prevent data theft or tampering during transmission
Multi-Level QoS: Selects different service quality levels based on business importance
Offline Messages: Automatically caches messages in areas with unstable networks and retransmits them once the network is restored, ensuring no data loss
Real-Time Monitoring Dashboard: Provides visual monitoring of platform services, displaying client, message, and service status in real-time
Cloud-Edge Message Link Tracing: Integrates with OpenTelemetry for end-to-end message link tracing from edge gateways to the cloud platform
Data Storage and Intelligent Analytics: Integrates multimodal data storage with large model capabilities to intelligently analyze massive business and monitoring data through natural language