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Intelligent electrification engineering
Operations and Maintenance Business
1. Intelligent Power Distribution Operation and Maintenance System
Guangdong Xingneng Smart Energy Co., Ltd., as the integrated energy service sector under Hangyue Electric Group, owns the Hangyue Intelligent Power Distribution Operation and Maintenance System.
Hangyue Intelligent Power Distribution Operation and Maintenance System
AI and Big Data Empowerment for Healthier, Smarter, and Greener Equipment
System Features
Big Data Analysis
Utilize multidimensional data comprehensive analysis to obtain key abnormal data points and conduct early multi-angle analysis.
AI Intelligence
Combine expert system knowledge base with self-learning to effectively analyze big data results and generate strategies.
Cloud-Edge Collaboration
Edge computing gateways communicate with the cloud, sending data analysis strategies to the gateway for local execution and judgment.
Health Diagnosis
Use big data analysis and AI judgment to assess equipment health and generate diagnostic reports.
Better Serve Customer Electricity Usage with AI and Big Data
Four Dimensions of Customer Electricity Usage Needs
| ① Safety | Personnel safety: electrical leakage, misoperation, and other electrical safety issues; Equipment safety: equipment overheating, equipment insulation. |
| ② Reliability | Equipment health and reasonable load. Monitor voltage, current, harmonics, power factor, and various imbalances. |
| ③ Economy | Energy consumption management, equipment loss management, and line loss management enable refined management. Integrated energy management and reasonable resource allocation. |
| ④ Operation and Maintenance |
Improve operation and maintenance efficiency, replacing manual operation and maintenance; Manage equipment throughout its entire lifecycle. |
Traditional operation and maintenance system features: after an accident occurs, isolate the fault and push accident information.
Effectiveness: Faults are isolated, but damage still occurs, affecting normal electricity usage.
Features of Hangyue Intelligent Power Distribution Operation System: use cloud big data and AI platform to proactively analyze data and pre-
judge fault possibilities and provide early warnings.
Effectiveness: Detect fault risks early, handle them promptly to avoid damage, and ensure normal electricity usage.
2. Online + Offline Customer Service
◆ Remote monitoring and AI anomaly judgment
◆ Platform services providing various reports
◆ Use online information to guide offline operation and maintenance
3. Features and Value
Operation and maintenance business is based on a cloud platform. By deploying distributed intelligent sensors, it achieves comprehensive perception of equipment status and operating environment, using data analysis and artificial intelligence for intelligent fault prediction, early detection of equipment operation risks and fault precursors, ensuring the safety and reliability of electrical equipment.
| 01 Comprehensive Perception |
02 Intelligent Operation and Maintenance |
03 Intelligent Electricity Usage |
04 Asset Management |
05 Efficiency Management |
Operation and Maintenance Services Creating Value for You
≥ Full-time monitoring for safe and efficient operation.
≥ Achieve energy saving and consumption reduction, improving economic benefits.
≥ Big data analysis and early warning to avoid over 80% of faults.
≥ Full lifecycle management of equipment.
≥ Comprehensive management of user electricity demand throughout the process.
4. Business Scope
Capable of undertaking power equipment entrusted operation and maintenance
Annual inspection and testing of power equipment
Safety inspection, maintenance, and upkeep of power equipment
Repair of power equipment
Provide power improvement solutions and energy-saving transformation of power equipment
Inspection and repair of power lines
Daily inspection and management of electrical rooms
Hangyue Electrical Official Account
Hangyue Electromechanical Official Account
Power Monitoring System APP
COPYRIGHT 2025 Hangyue Intelligent Electrical Co., Ltd.