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Solutions

We provide customized solutions for scenarios such as smart grids,industrial energy storage,and charging pile networking,addressing the core operational pain points of customers.

Leveraging our core product strengths,we offer three key solutions to global clients:First,Smart Grid Optimization Solutions,which utilize recloser controllers and distribution automation systems to enable rapid fault location and automatic restoration, enhancing power supply reliability. Second, Industrial/Residential Energy Storage Solutions, tailored to diverse load demands, helping clients achieve peak shaving,backup power assurance,and energy cost control.Third,EV Charging Network Solutions,providing AC/DC charger selection, network design, and O&M services, compatible with regional standards like North America's NACS and Europe's CCS2. These solutions have been successfully deployed in factories,office buildings,residential communities,and public transport,effectively addressing customer pain points in energy utilization,power stability,and charging convenience.

Charging Station O&M Solution: Building an Intelligent & Proactive Operations Ecosystem


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:

  1. IoT Sensing Layer: Deploy current/voltage/temperature/humidity sensors to collect real-time equipment status (e.g., charging pile power module, cable wear).

  2. Cloud Platform Layer: Integrate a central management system for data monitoring, fault diagnosis, and energy dispatch, supporting remote upgrades and strategy deployment.

  3. 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

  1. 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.

  2. 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.

  3. 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

  1. 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.

  2. 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

  1. Pilot Phase (Months 1-3): Deploy intelligent monitoring systems at 10 stations, establish baseline data.

  2. Promotion Phase (Months 4-6): Expand predictive maintenance modules, integrate with regional grid dispatch.

  3. Optimization Phase (Months 7-12): Implement integrated PV-storage-charging solutions, achieving a 25% improvement in comprehensive energy efficiency.

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