Intelligent Operation and Maintenance Nano Coating Solution for Photovoltaic Power Stations

Aug 07,2025

1. Industry Pain Points
With the continuous expansion of photovoltaic power plants, traditional operation and maintenance methods face many challenges. Manual inspections are inefficient, costly, and struggle to comprehensively and timely detect equipment faults and risks. Meanwhile, photovoltaic modules and equipment experience performance degradation over long-term operation due to environmental factors and aging. Existing maintenance methods often cannot accurately assess equipment health status, leading to untimely or excessive repairs, which affect the power plant's generation efficiency and economic benefits. Additionally, photovoltaic power plants are widely distributed, with some located in remote areas with inconvenient transportation, further increasing maintenance difficulty and costs.
2. Sysmex Solution
Sysmex's intelligent operation and maintenance nano-coating solution combines nano-coating technology with an intelligent monitoring system to provide efficient and smart maintenance solutions for photovoltaic power plants. The nano-coating offers multiple functions such as self-cleaning, anti-corrosion, and light transmission enhancement for photovoltaic modules and equipment, ensuring normal operation. Meanwhile, the intelligent monitoring system installs sensors on equipment surfaces to monitor coating status, equipment temperature, humidity, vibration, and other parameters in real time. Using big data analysis and artificial intelligence algorithms, it evaluates and predicts equipment health status, promptly detects potential faults, and issues early warnings. Maintenance personnel can perform targeted maintenance and repairs based on these warnings, improving maintenance efficiency and reducing costs.
3. Implementation Steps
Power Plant Assessment: Conduct a comprehensive evaluation of the photovoltaic power plant's scale, equipment types, layout, and operational history to understand the current maintenance status and existing issues, providing a basis for formulating the intelligent maintenance plan.
Nano-Coating Application: According to the specific conditions of the plant's equipment, apply nano-coatings to photovoltaic modules, supports, electrical equipment, etc., following the implementation steps of Plan Two, ensuring coating quality and performance meet requirements.
Intelligent Monitoring System Installation: Reasonably deploy sensors within the photovoltaic power plant, including temperature sensors, humidity sensors, vibration sensors, and coating status monitoring sensors. Connect sensors to data acquisition terminals and transmit data to the monitoring center via wireless communication technology. Install intelligent operation and maintenance management software at the monitoring center to analyze and process collected data in real time.
System Debugging and Optimization: Conduct comprehensive debugging of the intelligent monitoring system to ensure accurate sensor data collection, stable transmission, and normal software functionality. Optimize system parameters based on debugging results to improve monitoring accuracy and early warning precision.
Personnel Training: Train photovoltaic power plant maintenance personnel to familiarize them with the operation and use of the intelligent monitoring system and master skills for equipment maintenance and repair based on early warning information. At the same time, establish a sound maintenance management system clarifying maintenance personnel responsibilities and workflows.
4. Expected Effects
Improved Maintenance Efficiency: Real-time monitoring of equipment operating status through the intelligent monitoring system allows timely detection of fault risks, enabling maintenance personnel to perform targeted maintenance and repairs, reducing inspection time and workload, and improving maintenance efficiency. It is expected to increase maintenance efficiency by over 80% and shorten equipment fault handling time.
Reduced Maintenance Costs: Reduce the frequency of manual inspections and unnecessary repairs, lowering labor and repair costs. At the same time, timely detection and handling of equipment faults prevent worsening damage, reducing equipment replacement costs. This greatly saves maintenance costs over the entire lifecycle of the photovoltaic power plant.
Enhanced Power Generation Efficiency: The nano-coating's self-cleaning and light transmission enhancement functions ensure normal power generation performance of photovoltaic modules, reducing power loss caused by module performance degradation. Meanwhile, the intelligent monitoring system timely adjusts equipment operating parameters to optimize power plant generation efficiency. It is expected to improve the overall power generation efficiency of the photovoltaic power plant by more than 5%, increasing power output and revenue.
Increased Plant Reliability: Real-time monitoring of equipment health status, early warning of potential faults, and timely measures effectively reduce equipment failure rates, improve the reliability and stability of photovoltaic power plants, and ensure continuous power supply.