Fog Computing Fueling Kiosk Vehicle Data Analysis
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Solution Overview
Problem
Existing vehicle communication systems lack the ability to efficiently collect, analyze, and correlate large amounts of data from on-board electronic control units, limiting their capacity for thorough diagnostics and early detection of potential issues, which is crucial for preventing costly repairs and maintaining brand reputation.
Innovation Solution
A fog computing-based fueling kiosk that forms a direct network connection with a vehicle, enabling data collection and analysis while providing energy, and correlates operational data to diagnose potential safety and performance issues, using a direct network connection for efficient data transfer and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transmitted over existing cellular connection (LTE), then vehicle can maintain mobility and connectivity, but data transmission speed is limited to lower Megabits and cannot handle large data volumes from sensors like Lidar
Solution Approach 1:
A direct network connection (intermediary) is established between the fueling kiosk and the vehicle's gateway, enabling high-speed data transfer during fueling operations. This intermediary connection bypasses the limitations of cellular networks while maintaining vehicle mobility, as the direct connection is temporary and established only when needed at the fueling station.
2Measurement precision
If more data is collected from on-board electronic control units, then diagnostic capability and early detection of potential issues improve, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary data collection and correlation during routine fueling operations, preparing diagnostic information in advance. By collecting and correlating operational data from multiple control units during regular fueling, the system prepares diagnostic reports before issues become critical, reducing the need for complex real-time processing during emergency diagnostics.
Solution Approach 2:
The fueling kiosk acts as an intermediary data processing node, receiving operational data from the vehicle's gateway and performing correlation analysis locally. This distributes the processing burden away from the vehicle's onboard systems and leverages the kiosk's computing resources, reducing overall system complexity while improving diagnostic precision.
3Productivity
If direct network connection is established between kiosk and vehicle gateway, then data transfer efficiency improves, but additional network interface and gateway requirements increase device complexity
Solution Approach 1:
The vehicle's existing gateway is designed to serve multiple functions: it acts as both the cellular communication interface for normal operation and the direct network interface for high-speed data transfer during fueling. This multi-functionality eliminates the need for separate dedicated data transfer hardware, maintaining productivity improvement while minimizing additional complexity.
Solution Approach 2:
The system leverages the vehicle's existing gateway infrastructure to provide the direct network connection capability, rather than requiring a completely separate communication system. The gateway self-adapts to serve both cellular and direct connection modes, reducing the need for additional dedicated components and simplifying the overall network interface architecture.
Data Source
AI summary
In one embodiment, a fog computing-based fueling kiosk forms a fueling connection with a vehicle and a direct network connection between the kiosk and a gateway for a network of the vehicle. The fueling kiosk provides energy to the vehicle via the fueling connection and receives, via the network connection with the gateway for the network of the vehicle, operational data from the network of the vehicle, while providing the energy to the vehicle via the fueling connection. The fueling kiosk performs an analysis of the received operational data from the vehicle and provides a result of the performed analysis to a remote device.