基于数字孪生的新能源物流网络智能管理系统及方法
By using digital twin technology to adjust the topology and operating parameters of the new energy logistics network in real time, constructing a seepage model to analyze the impact of anomalies, generating heat maps and performing parallel simulations, the problem of delayed response of the new energy logistics network management system in the event of an emergency was solved. This enabled rapid identification and optimized scheduling of abnormal events, improving the system's response speed and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU CHENGFENGLAI DIGITAL TECH CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing new energy logistics network management systems are slow to respond to emergencies, making it difficult to identify the propagation path and scope of impact of abnormal events, leading to improper scheduling decisions and an inability to effectively mitigate the spread of abnormal impacts.
By sensing abnormal events in real time, the network topology and operating parameters are adjusted using digital twin technology, a seepage model is constructed to analyze the impact of anomalies, a heat map is generated, and parallel simulation is performed in the digital twin environment to select the optimal scheduling strategy. The response strategy is then optimized by combining an experience case library.
It enables real-time response and dynamic scheduling of abnormal events, accurately identifies propagation paths and impact ranges, optimizes scheduling strategies, reduces delays and energy consumption, and improves system robustness and response speed.
Smart Images
Figure CN122022653B_ABST