Smart O&M (Intelligent Maintenance) refers to the use of digital technology and automation tools for data-centered operation and maintenance of equipment or systems. It aims to replace or reduce the traditional maintenance model that relies heavily on labor and experience, improve efficiency, reduce costs, and enhance management transparency and reliability.

I. Core concepts

- Data-driven: Decisions are based on actual measurements and images.

- Automation: Introducing drones, AI analysis and systematized processes.

- Visualization: Centralized management and presentation of results through a cloud-based platform.

- Traceability: All test and analysis results are traceable and comparable.

Typical applications in solar energy maintenance

1. Intelligent inspection: Using drones equipped with thermal and visible light sensors to carry out aerial inspection in accordance with standardized procedures to quickly cover a large area of the case.

2. AI analysis and expert review: AI automatically identifies module anomalies and thermal defects, which are then categorized and risk-assessed by solar experts in accordance with international standards to ensure accurate and reliable results.

3. Cloud Visualization Management: Centralized management of images, defect locations, analysis results, and reports through a cloud-based platform that supports cross-year comparisons and trend analysis.

Differences from Traditional Maintenance

Traditional maintenance relies on manual inspection and empirical judgment, which is inefficient and difficult to quantify; Smart O&M realizes real-time equipment status, risk prediction and accurate maintenance through data, AI and cloud systems.

IV. Benefits derived from Smart O&M

- Reduce labor and maintenance costs.

- Enhance power generation efficiency and equipment reliability.

- Enhance management transparency and decision-making.

- Compliance with ESG, insurance and regulatory audit requirements.