Vehicle Remote Troubleshooting with AI-Assisted Sensor Diagnostics
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Solution Overview
Problem
Existing vehicle systems lack efficient remote troubleshooting capabilities, especially in identifying and addressing issues in real-time through network connections and AI-assisted decision-making.
Innovation Solution
Integration of AI systems within vehicles to detect issues, capture sensor data, establish network connections with remote servers, and post data to online forums for remote mechanic assistance, utilizing blockchain technology for secure data sharing and AI models for diagnostics and recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle systems implement remote troubleshooting capabilities with network connections and AI-assisted decision-making, then diagnostic efficiency and real-time problem resolution are improved, but system complexity and data security requirements increase
Solution Approach 1:
The patent introduces an intermediary cloud-based platform that mediates between the vehicle's diagnostic systems and remote experts. This platform handles data transmission, AI processing, and communication coordination, allowing the vehicle itself to remain relatively simple while gaining advanced remote troubleshooting capabilities through the intermediary service.
Solution Approach 2:
The system employs multi-functional integrated components that can perform various diagnostic and communication tasks. The onboard computer handles both local diagnostics and remote communication, while the cloud platform provides multiple services including data storage, AI analysis, and expert connectivity, reducing the need for separate dedicated components.
2Ease of operation
If sensor data is posted to online forums for remote mechanic assistance, then access to expert knowledge is improved, but data security and information protection challenges increase
Solution Approach 1:
Instead of transmitting raw sensitive vehicle data to remote forums, the system creates and transmits simplified diagnostic representations or anonymized data copies that contain only the necessary information for troubleshooting. This reduces the security risk while maintaining the ability to access expert knowledge through the online forum interface.
Solution Approach 2:
The cloud-based intermediary platform acts as a secure gateway that manages data transmission to online forums. It implements security protocols, authenticates users, and controls what data is shared, thereby protecting sensitive vehicle information while still enabling access to remote expert knowledge through the forum system.
3Loss of time
If real-time sensor data transmission is implemented for remote diagnostics, then troubleshooting speed is improved, but network dependency and connectivity requirements increase
Solution Approach 1:
The system performs preliminary data processing and AI analysis locally in the vehicle before transmission to the cloud. By pre-processing and prioritizing data based on diagnostic urgency and relevance, the system can transmit only critical information in real-time, reducing network dependency while maintaining fast troubleshooting speeds through selective data transmission.
Data Source
AI summary
An example operation includes one or more of detecting an issue with respect to a subsystem of a vehicle, capturing sensor data of an operation of the vehicle while the issue is occurring, establishing a network connection between the vehicle and a software application hosted by a remote server and posting the sensor data to an online forum that is operated by the software application, and connecting the vehicle to a remote mechanic terminal over a computer network via the software application.