一种分布式物联网规则引擎的云边同步方法及系统
By employing a three-layer defense mechanism consisting of the Merkle-CRDT rule state tree, a pre-execution simulation sandbox, and a runtime security monitoring and isolation module, the problems of rule state inconsistency and runtime risks in the IoT architecture are resolved. This enables efficient and secure rule synchronization and real-time monitoring, thereby improving the stability and security of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU YUNTENG WUZHOU TECHNOLOGY CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
In cloud-edge collaborative IoT architectures, existing technologies cannot effectively solve the problems of inconsistent rule states, logical conflicts, and unknown runtime risks. Especially in unstable network environments, it is difficult to achieve reliable, secure synchronization, and real-time monitoring of rules.
A three-layer defense mechanism is adopted, consisting of a Merkle-CRDT rule state tree module, a pre-execution simulation sandbox module, and a runtime security monitoring and isolation module. The Merkle tree ensures the immutability and consistency of data synchronization, digital twin technology is used for dynamic behavioral risk detection, and causal anomaly detection is used to achieve real-time monitoring and isolation.
It achieves strong consistency, immutability, and full auditability in rule configuration, can detect deep-seated logical flaws, and provides immunity at runtime, thereby improving the resilience and security of the system and preventing catastrophic consequences.
Smart Images
Figure CN122179461B_ABST