On-Board Terminal Network Recovery by Fault Severity Arbitration
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Solution Overview
Problem
Users of vehicles with on-board terminals face difficulties in manually resetting network faults, leading to prolonged network outages and a degraded user experience.
Innovation Solution
A network fault recovery method that automatically determines a recovery strategy based on fault severity and operation priority, enabling autonomous repair without user intervention, particularly suitable for on-board terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual network reset operation is required, then user can control the recovery process, but user experience deteriorates and network outage duration increases
Solution Approach 1:
The system performs automatic network fault detection and recovery without requiring user intervention. The T-Box autonomously detects network faults, determines recovery strategies based on arbitration rules, and executes recovery operations such as flight mode switching or SIM card resetting, thereby eliminating the need for manual user operations and reducing network outage duration.
Solution Approach 2:
The system pre-establishes arbitration rules that define the priority and sequence of network recovery operations before faults occur. When a network fault is detected, the system retrieves the pre-defined recovery strategy from the arbitration rules and executes it automatically, ensuring rapid response without delay for user intervention or decision-making.
2Reliability
If multiple network recovery operations are executed sequentially, then comprehensive fault repair is achieved, but resource consumption increases
Solution Approach 1:
The system dynamically adjusts the network recovery strategy based on the detected fault type and severity. The arbitration rules prioritize recovery operations, allowing the system to execute only the necessary operations required for fault resolution. This dynamic approach prevents unnecessary sequential operations and reduces resource consumption while maintaining comprehensive fault repair capability.
Solution Approach 2:
The system applies different recovery strategies tailored to specific fault types and severities. Rather than executing a fixed sequence of all possible recovery operations, the system selects and executes only the relevant operations based on the local characteristics of the detected fault, thereby reducing overall resource consumption while ensuring complete fault repair.
3Productivity
If network recovery strategy is determined based on fault severity, then recovery efficiency improves, but system complexity increases
Solution Approach 1:
The system segments network faults into different severity levels and categories, with each segment having its own predefined recovery strategy. The arbitration rules are divided into hierarchical levels that prioritize recovery operations based on fault severity. This segmentation allows for efficient fault resolution through predefined patterns while managing system complexity through structured organization.
Solution Approach 2:
The system changes the parameter of fault severity classification to determine recovery strategy selection. By establishing arbitration rules that map fault severity levels to specific recovery operations, the system achieves efficient fault resolution. The parameter-based approach organizes complexity through clear decision boundaries and predefined response patterns.
Data Source
AI summary
Network-fault recovery is performed by, first, detecting whether a network fault is present. Upon detecting a network fault, determining a network recovery strategy according to an arbitration rule, and executing the network recovery strategy, until network recovery or until execution of the network recovery strategy is complete. The arbitration rule is related to network fault severity and/or network recovery operation priority. The network recovery strategy includes: one or more network recovery operations to be executed. Network faults can be automatically repaired, thereby improving the user experience.


