Opt Cloud

Promoting the advancement and development of new energy

Opt AI Cloud Ecology

Make detection more intelligent, efficient, and secure. Module lifecycle management enables power stations to enter the digital 2.0 era.

Experience immediately

Meet all the needs of operation and maintenance
Full coverage of photovoltaic power station operation and maintenance scenarios
With artificial intelligence and big data models as the underlying technical support, inverters, drones, and cameras as hardware support, and digital twin maps as support points, it has expanded the capabilities of power station inverter monitoring, power station EL inspection, power station infrared inspection, inspection reports, defect elimination, data prediction, and more.
Experience immediately →

Digital twin model

module level identity information binding and hierarchical control from region to module string then to modules.

IV data monitoring

Support the data connected to the inverter and visualize it in the system through a digital twin model.

Drone EL detection

Using self-developed EL cameras and drones to take EL photos, and analyzing the photos through AI models.

Drone IR detection

Take infrared photos and corresponding visible light photos using drones, and analyze the photos using AI models.

Detection report

Output detection reports based on IV data and EL, infrared, and visible light detection results, supporting PDF and Excel formats.

Defect elimination system

Utilize real-time data exchange and navigation positioning functions between PC and mobile terminal to assist in completing power station defect elimination tasks.

Data prediction

Based on the big data model of power stations, predict the power generation situation and the health evolution history of modules.

Team management

Support a multi-level account system of "headquarters-branch-employees" to meet the data usage requirements of various teams.

Empowering photovoltaic power station operation and maintenance with AI, liberating productivity in multiple scenarios
Using AI to promote the upgrade of photovoltaic industry
The Opt AI cloud ecology utilizes Opt's rich experience in manufacturing, mature AI architecture and algorithms to further enhance its AI capabilities and make it more suitable for the usage scenarios of photovoltaic power stations. Through AI, it reduces the difficulty of power station management, module positioning, defect identification, data analysis, and greatly improves work efficiency.
Experience immediately →

defect identification
We already have mature EL and infrared models, and currently EL and infrared can detect over 200 types of defects
power station management
Implement full lifecycle management of modules, predict module health, perform fixed-point inspections, manage inverters, and other functions
data analysis
Through the digital twin model, the identity information of modules is bound, the ledger is established, and the whole life cycle is managed
module positioning
module level localization is realized by AI algorithm, RTK and spatial localization

1:1simulation restoration,immersive data management 
IV data management of Opt AI cloud ecological photovoltaic power station 
By constructing the digital twin model of photovoltaic power stations and connecting the inverter power, capacity, power generation, equivalent hours, and string current and voltage data transmitted back by the inverter, it is more convenient and accurate to monitor the operation of the power station, accurately detect low current and zero current module strings, and achieve immersive management of the power station.
Learn more→

Explore the true health of modules
Opt AI cloud ecological photovoltaic power station detection solution
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.
Learn more→

The collision between defect elimination on-site and digitalization
Opt AI cloud ecological photovoltaic power station detection solution
Provide the positioning and direction of the defect elimination personnel, cooperate with the defect location on the map, quickly find the defective modules, and interoperability with the cloud platform in real-time on the mobile terminal. The operation and maintenance personnel conduct acceptance and confirmation based on the feedback of the defect elimination personnel, and implement the on-site situation of the defect elimination.
Learn more→

About Opt AI cloud ecology
Make the operation and maintenance of photovoltaic power stations more efficient and safe
Opt AI cloud ecology makes the detection more intelligent, higher and safer, makes the power station management more refined through digital twin and module level positioning, and enables the power station to enter the digital 2.0 era through the whole life cycle management of modules. To make photovoltaic power station operation and maintenance more efficient and safer is our vision, to promote the advancement and development of new energy is our mission, We have been on the road all along.
Experience immediately →

Promoting the advancement and development of new energy

Opt AI cloud ecology

Experience immediately

About Us

Shanghai Optech Science and Technology Co., LTD. was established in 1999, formerly known as Shanghai Jiaotong University Student Technology Entrepreneurship Co., Ltd. the main business is entrepreneurship training for college students. Since 2008, the company has established a technology innovation system with deep integration of industry, university and research, It has always focused on the technology and product development of automatic detection equipment and automatic production equipment in the photovoltaic industry Opt is one of the few enterprises that has both hardware equipment and software development teams.Opt has developedand mass-produced a complete set of testing equipment for silicon wafers,batteries,modules,and photovoltaic power stations,which can provide Al artificial intelligence testing and data analysis services throughout the entire lifecycle of the photovol-taic industry chain.

See more→