Intelligent hospital ward remote video monitoring management system
By using the smart hospital ward remote video monitoring and management system, cross-modal data association is constructed through the supergraph feature extraction module. Combined with edge computing and intelligent decision execution, the limitations of data processing mechanisms and the lag in decision response in remote ward monitoring are solved, and efficient and real-time ward status management is achieved.
Patent Information
- Application Number
- CN202511025178.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-24
- Publication Date
- 2025-10-31
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies for remote monitoring of wards have limitations in multi-source data processing mechanisms, which cannot effectively establish a deep correlation between video image features and sensor parameters, resulting in information fragmentation or redundancy, and a lag in the decision-making and response chain, making it difficult to meet the management requirements of high precision and low latency.
The smart hospital ward remote video monitoring and management system is adopted. It captures data through the collaborative capture of video image acquisition module and multi-dimensional parameter sensing module, builds cross-modal data association using hypergraph feature extraction module, performs feature fusion and dimensionality reduction by combining edge computing nodes, drives equipment adjustment in real time by intelligent decision execution module, and realizes encrypted transmission by remote data interaction module.
It achieves deep correlation of cross-modal data, shortens the time spent in the link from data processing to equipment adjustment, dynamically adjusts decision logic, solves the problems of response lag and insufficient decision flexibility, and realizes comprehensive perception, efficient analysis and real-time control of ward status.