一种载运工具离线可信检查方法及系统
By coordinating the inspection of the vehicle terminal and the cloud platform, the network status is determined by cross-layer pseudo-online risk values, network anomaly proof data is generated, offline formal evidence collection qualifications are verified, on-site evidence is collected and packaged into a formal offline evidence package, and reliable retransmission and verification are performed after the network is restored. This solves the problem of reliability and integrity of inspection data under abnormal or restricted communication signal environments, and realizes the authenticity, integrity and traceability of inspection data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU JITAO TECH CO LTD
- Filing Date
- 2026-06-22
- Publication Date
- 2026-07-17
AI Technical Summary
In on-site inspection environments with abnormal or limited communication signals, existing technologies cannot effectively handle the timely uploading of inspection data and the lack of reliability in offline evidence collection, resulting in missing inspection data, duplicate uploading, erroneous data cleanup, or difficulty in tracing the evidence collection process, which affects the reliability and integrity of on-site inspections of vehicles.
By coordinating the inspection terminal and cloud platform, the network status is determined using cross-layer pseudo-online risk values, network anomaly proof data is generated, offline formal evidence collection qualifications are verified, on-site evidence is collected and packaged into a formal offline evidence package, and reliable retransmission and verification are performed after the network is restored to ensure the authenticity, integrity and traceability of the data.
In the event of network anomalies, maintain the continuity of the inspection process, ensure the reliable collection, temporary storage, and retransmission of inspection data, reduce the risk of data error archiving and cleanup, and improve the authenticity, integrity, and traceability of inspection data.
Smart Images
Figure CN122420002A_ABST