Traffic Data Self-Recovery Processing Method
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Solution Overview
Problem
Traffic data synchronization operations often fail due to unstable network environments and system faults, leading to data loss and reduced real-time performance.
Innovation Solution
A self-recovery processing method that monitors synchronization operations, repeatedly attempts synchronization until successful, or stops the process if failure frequency exceeds a threshold correlated with network signal intensity, and sends a failure message.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic data synchronization operation is performed continuously, then data synchronization completion is improved, but system resources are wasted when failures are permanent
Solution Approach 1:
The system monitors the operation result of each synchronization attempt and uses this feedback to determine whether to continue retrying or to stop and report failure. This feedback mechanism prevents infinite retry loops while ensuring sufficient attempt次数 to overcome transient failures.
Solution Approach 2:
The failure frequency threshold is dynamically adjusted based on current network signal intensity. When network conditions deteriorate, the threshold increases, allowing more retry attempts. When conditions improve, the threshold decreases, enabling faster failure detection and resource reallocation.
2Loss of time
If the failure frequency threshold is set low, then permanent failures are detected quickly, but legitimate transient failures are incorrectly stopped
Solution Approach 1:
The failure frequency threshold is not fixed but changes based on network signal intensity parameters. Stronger network signals result in lower thresholds (faster detection), while weaker signals result in higher thresholds (more tolerant of transient failures). This parameter adaptation resolves the contradiction between detection speed and accuracy.
3Loss of energy
If traffic data synchronization is stopped after failures, then resource waste is reduced, but data loss occurs during transition
Solution Approach 1:
Before stopping the synchronization operation, the system performs a preliminary assessment by monitoring multiple operation results and comparing them against the dynamically adjusted failure frequency threshold. This preliminary action ensures that stopping is only triggered when necessary, minimizing data loss while preventing resource waste on futile retry attempts.
Data Source
AI summary
Embodiments of the present application disclose a traffic data self-recovery processing method, including: monitoring an operation result of traffic data synchronization operation of a target system; repeatedly performing the traffic data synchronization operation of the target system until the traffic data synchronization is successful or cumulative number of traffic data synchronization failures exceed a failure frequency threshold, if the monitored operation result is that the traffic data synchronization is failed; clearing the cumulative number if the monitored operation result is that the traffic data synchronization is successful; stopping the traffic data synchronization operation of the target system and sending out a message indicative of the traffic data synchronization failure if the cumulative number of traffic data synchronization failures exceeds the failure frequency threshold, wherein the failure frequency threshold is determined by current network signal intensity of the target system and is in a positive correlation with current network signal intensity.