Explore innovative services

At bRightEdge, we offer a variety of services designed to enhance the efficiency and sustainability of solar power plants.
Our diverse solutions focus on providing additional financial benefits, minimizing plant downtime, and maximizing performance.
We dedicate all our efforts to developing and upgrading innovative solutions to fulfill our promise of guaranteeing the maximum operational hours in the industry for our valued customers.

Eco-Point Distribution

Partnership Rewards with Financial Institutions and Insurance Companies

Component Inventory Pool

Ensure the availability of spare parts at all times to minimize downtime.

Detailed On-Site Inspections

Find all the answers on-site through scientific and thorough inspections.

Discover innovative solutions

bRightEdge is dedicated to revolutionizing solar power plant operations through a diverse range of solutions.
By effectively integrating the following technologies, we significantly enhance efficiency and accuracy across the entire process—from providing additional financial benefits and managing component inventory pools to on-site emergency responses and post-event analysis.
This approach reduces downtime while simultaneously improving customer satisfaction and boosting the competitiveness of our O&M services.

EcoPoint Distribution

Point Generation: The platform calculates and issues EcoPoints based on carbon reduction. Points are credited to members like solar power plant operators or investors through monthly or quarterly settlements.

Point Account Management: Users can view their accumulated points and balances in the platform’s ‘Point Wallet’ or ‘Account’. For jointly operated power plants, points are distributed based on contribution rates.

  • Rewards via Financial and Insurance Partners: Receive preferential interest rates on loans from partner financial institutions by holding EcoPoints.
  • Use points for insurance premium payments, either as cash deductions or for discounts.

Inventory Management and Logistics Automation

A digital system automating the entire process of managing key components, including incoming/outgoing inventory, stock status, and delivery tracking.

  • Real-time inventory monitoring and alerts (with safety stock settings).
  • Sharing inventory among regional warehouses and planning efficient stock distribution.
  • Tracking delivery history and managing replacement history through component serial numbers.
  • Efficient inventory rotation management to reduce costs.
  • Minimizing downtime by accurately identifying and promptly supplying required parts during emergencies.

On-Site Diagnostic Technology

A technology utilizing drone thermal imaging, AR-based inspections, and sensor-IoT integration to ensure fast and accurate diagnostics in O&M fields.

  • Drone Thermal Imaging: Real-time detection of temperature distribution on modules to identify hot spots, uniformity issues, and other anomalies.
  • AR-Based Remote Support System: Field personnel use AR devices to share real-time video with experts, allowing for rapid diagnosis and technical support.
  • IoT Sensors: Real-time monitoring of module surface temperature, humidity, inverter status, and more, reducing inspection time and costs for early detection and repair.
  • Precise Fault Detection: Accurately identifies defective components, minimizing unnecessary part replacements and additional costs.
  • Integrated Technology: Combining drones, AR, and IoT to deliver precise and reliable data for maintenance and operational optimization.

Predictive Maintenance Using Big Data and AI Analysis

Analyzing diverse information such as power plant generation data, module thermal data, and historical fault records to detect anomalies and take preventive actions before failures occur.

  • Detect anomalies in advance By analyzing module temperature and power generation efficiency, it identifies potential issues such as overheating, imbalance, shading, or external impacts before they escalate.
  • Predict component replacement timing Through analysis of inverter performance data, it forecasts the optimal time for replacing aging or faulty parts.
  • Automate maintenance planning Utilizing machine learning and AI models to analyze fault patterns and automate maintenance scheduling and resource allocation.
  • Prevent unpredicted shutdowns Avoids unplanned downtime of power plants, thereby protecting customer revenue and reducing operational risks.
  • Ensure proper component operation Maintains equipment performance to prevent unnecessary repair costs, excessive output losses, and unexpected emergencies.