JWsoalr was founded in 2016, with its headquarters located in Beijing. It has branches and subsidiaries in Shanghai, Hefei, Singapore and Tokyo. The company's core technology team is composed of a high-standard and young team of scientific and technological innovation talents, who are alumni of Tsinghua University, Fudan University and Shanghai Jiao Tong University. Its core strategy and operation team consists of a group of senior professionals who have been deeply engaged in the photovoltaic industry for more than 15 years. JWsoalr is a technology company dedicated to providing intelligent solutions for the entire life cycle of photovoltaic (PV) power plants. Against the background of the integration of digital technology and the new energy industry, the company is committed to providing safer, more efficient and professional technical solutions for the operation of PV power plant assets through the in-depth application of technologies such as artificial intelligence (AI), big data, cloud computing and unmanned aerial vehicles (UAVs) in the field of PV power plants.
By adopting image-based SLAM (Simultaneous Localization and Mapping) technology—also known as real-time localization and map construction, or concurrent mapping and localization—accurate component-level positioning can still be achieved for complex mountainous terrains and floating solar power plants on water.
For the string inverters that have been localized via image segmentation, integrate information such as geographic data, splice the string inverters using the full-image stitching algorithm, and filter out invalid information. Meanwhile, it supports both simulated panoramic view and power station array diagram marking methods, generating a complete and accurate mimic diagram of the string inverter position distribution across the entire station.
Based on Ricoh's advanced image recognition algorithm, an image data comparison program has been developed. It adopts a variety of artificial intelligence technologies, including infrared image recognition technology, sensor fusion technology, image analysis and positioning technology, deep neural network learning target segmentation algorithm, multi-source data fusion algorithm for infrared and visible light positioning information, image analysis algorithm based on morphological and clustering methods, and fault statistical analysis and mining algorithm for massive historical data.
Our equipment plays a vital role in long-distance transportation across various industries, ensuring transportation efficiency, durability, and safety in harsh environments.
Large-scale photovoltaic power stations are built using large areas of unused land such as deserts, Gobi, water surfaces, deserts, and mountainous areas and relatively stable solar energy resources
Refers to solar photovoltaic power generation systems attached to buildings, also known as "mounted" solar photovoltaic buildings
Using the vast area of the fish pond, a solar power generation system is installed above the water surface of the fish pond, and aquaculture is still carried out below, which is used for dual purposes
Photovoltaic power generation outside the shed, vegetables are planted in the shed, and the remaining electricity is integrated into the public grid in addition to the use in the shed
BIPV refers to photovoltaic building integration, which is designed, constructed and installed at the same time as the building
Engineered for high-pressure and long-distance transportation, our pipes provide a secure and efficient solution for energy transmission.
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