Opt AI cloud ecological photovoltaic power station detection solution
Exploring the real health status of modules
Most products on the market only detect infrared and visible light, with little or no EL detection. Can this method truly reflect the health status of modules? Based on the EL detection results, explore the health status of the modules and further clarify the reasons for abnormal power generation
kinds
detect defect types
%
defect identification accuracy
times
compared to manual inspection
times
compared to manual inspection
OPTYUN
Rich service types
Uav detection hardware
Drone EL detection hardware
Uav infrared detection hardware
Other power station operation and other
Opt cloud platform services
Infrared defect analysis and report
EL defect analysis and report
Infrared+EL defect analysis and report
Opt Cloud Customization Service
Personalized interface customization
Personalized customization of reports
Customization of cloud platform privatization deployment
CNAS certification services for defect detection and analysis
Infrared detection CNAS certification service
EL detection CANS certification service
Infrared+EL detection CNAS certification service
OPTYUN
Complete product system
EL detection
EL cameras equipped with drones are used for all photovoltaic modules of photovoltaic power stations
GPS positioning
Using advanced software algorithms and mapping technology
High precision and intelligence
Self-developed 12.1 million pixel full-frame backlit CMOS image sensor
Easy to control
Real-time flight screen information display, IP44 dust and waterproof rating
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Infrared and visible light detection
UAV is equipped with visible light and infrared cameras for flight detection
Optical and infrared synchronous comparison
module-level comparison, the fault identification accuracy is greater than 95%
Inspection data processing
It can process optical images, thermal infrared images, UAV flight data
Detection data management
Automatically imports inspection data in batches based on inspection tasks
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Cloud platform management
Open data barriers to achieve fault visualization
Innovation based on Saas architecture
Cloud computing and cloud storage facilitate massive data mining and analysis
Visual presentation
Achieve comprehensive visualization of equipment, greatly reducing maintenance costs
Spatial analysis calculation
To realize online collection, calculation, analysis and processing of energy data
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Inspection report
Establish a centralized and unified report generation system at the whole stack level
CNAS authoritative certification
Software algorithm and map technology realize the precise location of defective modules
Configurable and extensible
Report appendices can be customized and added, templates can be provided synchronously.
Highly automated
The report is automatically generated, which can be previewed and downloaded
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Promoting the advancement and development of new energy
Opt AI Cloud Ecology
Experience immediately
OPTYUN
Functional advantage
Data analysis
Statistical comparison of historical data
Drone EL camera
High definition, accurate analysis
AI defect analysis + three-light comparison
AI identifies infrared and EL defects and classifies them
Module-level defect location
Image positioning at Rtk level
Analysis report
Previewable, downloadable
Mobile APP defect elimination
Mobile APP real-time synchronous positioning
Digital twin electronic maps
Chip level, group cascade, module level
Secondary confirmation
Preliminary analysis, conclusion decentralization
AI intelligent analysis
Graphics processing + Deep learning
Big data analysis
Data storage + data processing
Cloud computing
Saas system + cloud server
OPTYUN
CNAS certification
Shanghai Optech Science and Technology Co., LTD meets the requirements of ISO/IEC 17025:2017 "General Requirements for Testing and Calibration Laboratory Competence >" (CNAS-CL01 "Testing and Calibration Laboratory Competence Accreditation Standards") and has relevant service capabilities.
Approved range of testing capabilities
Continuity of protective earthing and equipotential bonding conductors*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.1
PV string combiner box test*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446-1:2016+AMD1:2018 6.3
PV string-Current measurement*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.5
PV array insulation resistance test*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.7
PV array infrared camera inspection procedure*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 7.3
Photovoltaic module power decline*
Technical specifications for documentation, inspection and testing of grid-connected photovoltaic(PV) system T/CPIA 0010—2019 9.5
Polarity test*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.2
PV string-Open circuit voltage measurement*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.4
Functional tests*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 6.6
String I-V curve measurement*
Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection IEC 62446- 1:2016+AMD1:2018 7.2
Electroluminescenc e of photovoltaic modules*
Technical specifications for documentation, inspection and testing of grid-connected photovoltaic(PV) system T/CPIA 0010—2019 9.4
System performance ratio*
Technical specifications for documentation, inspection and testing of grid-connected photovoltaic(PV) system T/CPIA 0010—2019 9.6
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Promoting the advancement and development of new energy
Opt AI Cloud Ecology
Experience immediately
Shanghai Optech Science and Technology Co., LTD.
Stock Code: 836414
Address: 16th Floor, Building 20, No.958 Zhenbei Road, Putuo District, Shanghai
Contact us
150 5212 2290
Monday to Friday 9:00~17:30
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