Vehicle Messaging Framework with Semantic Autonomous Communication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current messaging protocols such as AMQP, MQTT, and STOMP limit device communications to non-semantic and non-context-aware modes, lacking automotive or vehicle-specific solutions for intelligent, context-aware, and semantic communication.
Innovation Solution
A vehicle ecosystem system with a first vehicle ecosystem module and a global governance module, utilizing a deep reinforcement learning module to enable autonomous communication between vehicle ecosystem units, independent of fixed protocols, and continuously updating rules for optimal outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing messaging protocols (AMQP, MQTT, STOMP) are used for device communication, then device communication is established, but the communication is limited to non-semantic and non-context-aware modes
Solution Approach 1:
The patent introduces a semantic layer as an intermediary between existing messaging protocols and vehicle ecosystem units. This semantic layer enables context-aware and intelligent communication by translating standard protocol messages into meaningful semantic information, thereby reducing semantic information loss while maintaining compatibility with existing protocols through the mediator layer
2Extent of automation
If fixed protocols are used for communication between vehicle ecosystem units, then communication structure is defined, but the system lacks autonomous decision-making capability
Solution Approach 1:
The patent implements dynamic communication frameworks where communication protocols and structures can adapt in real-time based on contextual requirements. The system transitions from static fixed protocols to dynamic adaptive protocols that can modify communication patterns, enabling autonomous decision-making while managing complexity through adaptive rather than rigid structures
Solution Approach 2:
The communication framework enables vehicle ecosystem units to autonomously determine communication strategies and protocols based on their own needs and contextual information. Each unit can self-service by selecting appropriate communication modes without requiring centralized protocol enforcement, thereby increasing automation while distributing complexity across individual units
3Adaptability or versatility
If standard interface mechanisms are implemented in device communication, then communication compatibility is achieved, but device expressing ability is limited
Solution Approach 1:
The patent segments the communication interface into multiple layers: a standardized lower layer for basic compatibility and an upper semantic layer for enhanced expressing ability. This segmentation allows devices to maintain simple standard interfaces while gaining advanced communication capabilities through the added semantic layer, thereby increasing device expressing ability without compromising interface simplicity
Data Source
AI summary
An embodiment relates to a system of a vehicle comprising a first vehicle ecosystem module comprising a first communication system and a first vehicle ecosystem unit comprising a local environment matrix, and a global governance module that is internal or external to the system, wherein the global governance module comprises a learning agent and a second communication system comprising a protocol unit, wherein the learning agent is configured to learn continuously and update rules for an outcome of the first vehicle ecosystem module when power in the vehicle is turned on, wherein the system is configured for autonomous communication between the first vehicle ecosystem unit and a second vehicle ecosystem unit, wherein the second vehicle ecosystem unit is either internal or external to the system.