一种集成地缘环境数据的产业数字化管理方法及系统
By integrating industrial digital management methods and systems based on geopolitical environmental data, the shortcomings of existing technologies in data modeling and decision support are addressed, enabling efficient decision support in complex environments, improving automation and data fusion capabilities, and supporting multi-scenario simulation and strategy playback.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
- Filing Date
- 2026-02-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing industrial digital management methods suffer from low automation, weak data fusion capabilities, and difficulty in achieving multi-scenario simulation and strategy playback in terms of data modeling, time-dimensional processing, and analytical decision support, resulting in insufficient decision support capabilities in complex environments.
By integrating geopolitical environmental data into industrial digital management methods and systems, the industrial digital management platform reads targeted data from raw heterogeneous data, attaches it to basic management objects according to targeted time slices, calculates geopolitical environmental volatility, customizes adaptive aggregation modes, evaluates channel exposure vectors and node structural characteristic parameters, and performs simulations and predictions to achieve closed-loop management from historical efficiency assessment to resource and target constraint setting.
It enhances decision support capabilities in complex geopolitical environments, can identify high-exposure channels and key nodes, supports differentiated management and control strategies, improves the reusability of the platform's computing links and decision support capabilities, explicitly introduces the impact of the external environment and on-chain structure, and enables multi-scenario prediction and historical assessment.
Smart Images
Figure CN121960993B_ABST