一种基于区块链的煤矿企业环保数据存证与追溯方法
By registering decentralized identities for environmental data supervision entities of coal mining enterprises and combining them with an environmental risk early warning system, the priority of supervision entities is dynamically calculated, which solves the shortcomings of the fixed priority model in the existing technology, realizes efficient and flexible data access control and decision execution, and improves emergency response capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA COAL INFORMATION TECH (BEIJING) CO LTD
- Filing Date
- 2026-02-04
- Publication Date
- 2026-07-17
AI Technical Summary
In the collaborative management of environmental data by multiple regulatory bodies in coal mining enterprises, existing technologies with fixed priority models cannot adapt to dynamic behavior and sudden environmental events, resulting in delayed responses and affecting the efficiency of accident response. Furthermore, static labels cannot reflect the historical compliance performance and real-time response efficiency of regulatory bodies, leading to insufficient comprehensive regulatory authority and adaptability.
By registering decentralized identity identifiers (DIDs) for each regulatory entity during the initialization phase of the consortium blockchain, and declaring the legal jurisdiction, functional type, and initial reputation score in their DID documents, standardized identity metadata is generated. Combining on-chain historical behavior ledger data and external environmental risk early warning system, the dynamic priority weight of the regulatory entity is calculated, and smart contracts are used for dynamic authorization decisions. A conflict resolution and optimal authorization selection mechanism is designed to achieve transparent decision execution.
It significantly improves the flexibility and scientific nature of data access control in a multi-regulatory environment, enhances the efficiency of regulatory collaboration and the rationality of decision-making, strengthens the system's response sensitivity and overall robustness to sudden environmental events, and reduces operation and maintenance costs and system coupling.
Smart Images
Figure CN121903641B_ABST