一种能源设备远程运维的安全管理系统
By introducing NTP time synchronization, AES encryption, MPC network optimization, and deep learning models into the remote operation and maintenance system for energy equipment, the problems of operational errors and data inconsistencies caused by network latency and time asynchrony are solved, and efficient remote operation and maintenance security management of energy equipment is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANTONG ZHIHAN XINGHUI TECH CO LTD
- Filing Date
- 2025-09-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing remote operation and maintenance safety management systems for energy equipment suffer from operational errors and data inconsistencies due to network latency and time asynchrony. They also lack the ability to detect and diagnose abnormal operating behaviors of energy equipment, leading to increased operation and maintenance risks and affecting data integrity and authenticity.
The system time is synchronized using an NTP time synchronization module, the data security control module uses AES encryption algorithm to protect data transmission, the MPC network optimization module handles network latency, the energy equipment anomaly monitoring and diagnosis module uses a deep learning model for real-time analysis, and the adaptive analysis response management module optimizes response strategies through reinforcement learning technology.
It enables precise time synchronization, robust data protection, efficient network management, and intelligent response management for remote operation and maintenance of energy equipment, thereby improving the security, efficiency, and reliability of operation and maintenance while reducing operation and maintenance costs.
Smart Images
Figure CN121078087B_ABST