
Ⅰ. Overall Operation and Maintenance (O&M) Architecture Design
Charging station O&M needs to integrate a dual-engine model of "Predictive Maintenance + Intelligent Response," establishing a three-tier management system:
- IoT Sensing Layer: Deploy current/voltage/temperature/humidity sensors to collect real-time equipment status (e.g., charging pile power module, cable wear).
- Cloud Platform Layer: Integrate a central management system for data monitoring, fault diagnosis, and energy dispatch, supporting remote upgrades and strategy deployment.
- Field Execution Layer:Achieving "Platform Alert - Personnel Response - Repair Closure."
Table: O&M System Modules and Functions
Module
|
Core Function
|
Technical Support
|
Remote Monitoring
|
Real-time equipment status monitoring, charging volume statistics
|
IoT + 4G/5G Transmission
|
Predictive Maintenance
|
Fault prediction (e.g., overload, abnormal heat dissipation)
|
Machine learning algorithm analysis of historical data
|
Resource Dispatch
|
Dynamic charging power allocation, off-peak charging
|
Intelligent load balancing algorithm
|
II. Core O&M Functional Modules
- Full Lifecycle Equipment Management
- Standardized Daily Inspection:
- Hardware: Daily checks on plug lifespan (>100,000 cycles), cable wear; Monthly testing of grounding resistance value (≤4Ω).
- Software: Verification of communication protocols (CAN bus/RS485), payment system compatibility.
- Preventive Maintenance Strategy:
- High-load piles (e.g., 120kW DC piles): Quarterly cleaning of cooling fans, replacement of thermal paste.
- Low-load piles (e.g., 7kW AC piles): Biannual calibration of energy metering accuracy.
- Rapid Fault Response Mechanism
- Tiered Alarm System:
- Tier 1 Fault (e.g., short circuit fire): Automatic power cut-off, simultaneous notification to fire system and O&M personnel.
- Tier 2 Fault (e.g., communication failure): Backup network channel activation, remote device reboot.
- Modular Replacement Design: Power units, billing control units support hot-swapping, reducing repair time to within 30 minutes.
- Energy Efficiency Optimization and Cost Control
- Dynamic Energy Management:
- Off-peak Charging: Utilize low electricity price periods (23:00-7:00) to pre-store energy in the station's energy storage system.
- PV Integration: Roof-top solar panels supplement power supply, reducing grid dependence (Reference case: Integrated PV-storage-charging station reduces electricity costs by 40%).
- Resource Utilization Enhancement:
- Based on user behavior analysis (e.g., peak demand at noon): Guide users to idle piles.
- Time-of-Use Pricing: 20% premium during peak hours to balance load.
III. Intelligent Technology Support System
- Data-Driven Decision Making
- Establish equipment health assessment models to predict component lifespan (e.g., capacitor degradation cycle ~3 years) using historical fault data.
- User profiling analysis: Identify high-frequency users (e.g., ride-hailing drivers), providing dedicated reservation channels.
- Dual-Layer Safety Protection
- Physical Safety: Ingress protection rating (IP54 for outdoor piles), lightning protection devices (10kA discharge capacity).
- Cybersecurity: Encrypted data transmission (AES-256), blockchain technology to prevent tampering with charging records.
Table: O&M KPI System
Indicator
|
Target Value
|
Measurement Tool
|
Equipment Availability
|
≥99%
|
Platform status logs
|
Fault Response Time
|
<15 minutes
|
Work order system timestamps
|
Daily Utilization per Pile
|
>30%
|
Charging volume/time data analysis
|
IV. Sustainable O&M Ecosystem Construction
- Personnel Training System:
- Certified O&M Engineer courses (including high-voltage operation, BMS protocol analysis, etc.).
- Business Model Innovation:
- Advertising space leasing (charging screen display ads), parking space sharing (open for parking during idle times).
- Government subsidy linkage: Apply for carbon credit subsidies and new infrastructure special funds.
V. Implementation Roadmap
- Pilot Phase (Months 1-3): Deploy intelligent monitoring systems at 10 stations, establish baseline data.
- Promotion Phase (Months 4-6): Expand predictive maintenance modules, integrate with regional grid dispatch.
- Optimization Phase (Months 7-12): Implement integrated PV-storage-charging solutions, achieving a 25% improvement in comprehensive energy efficiency.