Vehicle Ecosystem Messaging With Learning-Agent Semantic Routing

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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 system comprising a vehicle ecosystem module with a local environment matrix and a global governance module using a learning agent with a deep reinforcement learning module for autonomous communication, enabling context-aware and semantic communication between vehicle ecosystem units without reliance on fixed protocols.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing messaging protocols (MQTT, AMQP, STOMP) are used for device communication, then communication infrastructure is established, but communication becomes non-semantic and non-context aware

Engineering Contradiction:

Improvecommunication reliabilityVSAvoidcontext information loss

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The communication system is segmented into multiple layers: traditional messaging protocols handle basic transmission reliability, while a separate semantic layer (using knowledge graphs and context modules) processes and attaches contextual meaning to messages. This segmentation allows each layer to specialize without compromising the other.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A context module acts as an intermediary between the messaging protocol and the application layer. This mediator enriches messages with contextual information from knowledge graphs and environmental sensors, transforming bare data transmissions into semantically meaningful communications without disrupting the underlying protocol reliability.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If fixed protocols are used for vehicle ecosystem communication, then communication standardization is achieved, but adaptability to new scenarios is reduced

Engineering Contradiction:

Improvecommunication standardizationVSAvoidscenario adaptability

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The communication system transitions from static fixed protocols to dynamic adaptive protocols. The protocol selection and message structure are determined runtime based on the specific scenario, vehicle state, and communication requirements, allowing the system to adapt to new situations while maintaining standardized communication patterns.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The messaging system allows dynamic modification of communication parameters (message format, protocol selection, data structure) based on the scenario context. This enables the same underlying framework to support diverse communication needs by changing parameters rather than requiring entirely different protocols for each scenario.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If traditional messaging protocols are used, then device communication is established, but intelligent decision-making capability is lost

Engineering Contradiction:

Improvecommunication functionalityVSAvoidautonomous decision-making

Core Design Contradiction:

ReliabilityVSExtent of automation

Solution Approach 1:

The communication system incorporates autonomous agents and knowledge graphs that enable self-service decision-making. These components automatically interpret messages, determine appropriate actions, and execute responses without human intervention, transforming the system from passive message transmission to active intelligent decision-making while maintaining communication reliability.

Inventive Principle:

Principle #25Self-service

4Loss of information

If context-aware communication is implemented, then semantic understanding is improved, but system complexity increases

Engineering Contradiction:

Improvecontext information retentionVSAvoidcommunication system complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The context-aware communication system uses a nested architecture where simple messaging protocols are embedded within layers of increasing complexity: basic transmission → message parsing → context enrichment → semantic interpretation → intelligent response. Each layer wraps the previous one, allowing complex functionality to be built upon simpler foundations without requiring complete system redesign.

Inventive Principle:

Principle #7Nested doll (Nesting)

Data Source

PatentUS12217174B2Intelligent messaging framework for vehicle ecosystem communication

Publication Date: 2025.02.04 VOLVO CAR CORP

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.