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.
The full set is equipped with a new Internet of Things module and AI intelligent analysis system, which can better help users complete product image data recognition and inspection reports.
Work efficiency has increased by nearly 10 times compared to manual inspection!
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Work efficiency has increased by nearly 10 times compared to manual inspection!
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Work efficiency has increased by nearly 10 times compared to manual inspection!
Read MoreOur 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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Photovoltaic power plants are exposed to complex outdoor environments for a long time, and equipment such as components, cables, and combiner devices are easily affected by factors such as humidity, aging, and corrosion, leading to a decrease in insulation performance and causing safety accidents such as leakage, short circuits, and fires, seriously threatening the safety of power plant equipment and personnel. As a core indicator for evaluating the insulation performance of electrical equipment, accurate detection of insulation resistance is a key link in the electrical safety operation and maintenance of photovoltaic power plants. Jiangsu Jingwei Technology Co., Ltd. focuses on the urgent need for electrical safety testing of photovoltaic systems. We have independently developed the JW-J25 insulation resistance tester, which focuses on high-voltage precision testing, multiple safety protection, and portable intelligent design. We have become the "precise inspector" for electrical safety in photovoltaic power plants, providing reliable technical support for…
READ MORESolar irradiance is the core basic data for evaluating the power generation of photovoltaic power plants, optimizing system design, and formulating operation and maintenance strategies. The accuracy of irradiance measurement directly determines the accuracy of photovoltaic power plant power generation prediction, the rationality of component selection, and the efficiency of operation and maintenance. In the context of the transformation of the photovoltaic industry towards refinement and intelligence, traditional irradiance meters have problems such as low measurement accuracy, single parameters, poor environmental adaptability, and insufficient portability, making it difficult to meet the outdoor multi-point, long-term stable measurement needs of photovoltaic power plants. Jiangsu Jingwei Technology Co., Ltd. relies on advanced sensing technology and environmental compensation algorithms to independently develop the JW-F04 portable irradiance meter. With high-precision measurement, multi parameter synchronous acquisition, strong environmental adaptability, and long-range intelligent management as its core, it provides accurate data support for photovoltaic energy resource evaluation,…
READ MOREAs the core component of power generation in power plants, photovoltaic modules have hidden defects such as internal cracks, broken grids, and virtual welding, which are the main causes of power attenuation, hot spot faults, and even premature scrapping of the modules. However, such defects cannot be recognized by the naked eye and conventional detection methods are difficult to accurately capture. Jiangsu Jingwei Technology Co., Ltd. is deeply engaged in the field of photovoltaic non-destructive testing, breaking through the industry bottleneck of traditional EL detectors being bulky, complex to operate, and dependent on mains electricity. We have independently developed the JW-EL2 portable EL detector, which focuses on high-sensitivity imaging, lightweight portability, and intelligent diagnosis. It has become a "portable physical examination device" for photovoltaic modules, providing comprehensive protection for the core health of photovoltaic modules. Photovoltaic power station tester Electroluminescence (EL) imaging technology is currently the "gold standard" for detecting…
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