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 components, cables, combiner boxes, and other equipment are prone to insulation performance degradation due to aging, moisture, corrosion, physical damage, etc., which can lead to safety accidents such as leakage, short circuits, and fires, threatening personnel safety and power plant asset safety. Jiangsu Jingwei Technology Co., Ltd. is deeply engaged in the field of photovoltaic electrical safety testing, and has independently developed the JW-J25 insulation resistance tester. With high voltage precision testing, multiple safety protections, intelligent and convenient operation, and durability and reliability as its core, it provides professional equipment support for photovoltaic system electrical safety testing, and builds a solid defense line for the safe operation of photovoltaic power stations. DC withstand voltage, insulation impedance, grounding resistance, leakage current The voltage level of photovoltaic systems continues to improve, and 1500V string systems have become mainstream,…
READ MORESolar irradiance is a core environmental parameter that affects the power generation efficiency of photovoltaic modules. Accurate measurement of irradiance data is crucial for the site selection, system design, power generation prediction, efficiency evaluation, and operation optimization of photovoltaic power plants. Jiangsu Jingwei Technology Co., Ltd. relies on precision optical sensing technology and deep experience in the photovoltaic industry to create the JW-F04 portable irradiance meter with ingenuity. Its core features include high-precision measurement, multi parameter synchronous monitoring, portability, durability, and intelligent calibration, providing accurate data support for photovoltaic system light energy evaluation and helping photovoltaic power plants achieve refined management and improve power generation efficiency. Portable irradiation system dosimeter The power generation of photovoltaic power plants is positively correlated with solar irradiance. Traditional irradiance measurement equipment has problems such as low accuracy, single function, poor environmental adaptability, and insufficient data stability, making it difficult to meet the high-precision monitoring…
READ MOREThe internal hidden defects of photovoltaic modules, such as hidden cracks, broken grids, fragments, virtual soldering, etc., are important causes of power plant power generation attenuation and shortened lifespan. These types of defects are difficult to identify with the naked eye, and traditional detection methods are inefficient and inaccurate, becoming a major challenge in the field of photovoltaic operation and maintenance. Jiangsu Jingwei Technology Co., Ltd. focuses on the pain points of photovoltaic module quality inspection and has independently developed the JW-EL2 portable EL detector. Based on the principle of electroluminescence (EL) imaging, it provides professional solutions for the quality control of photovoltaic modules throughout their lifecycle, with high-definition imaging, fast detection, and portability as the core. It helps photovoltaic power plants avoid quality risks and ensure efficient power generation. Photovoltaic power station tester Electroluminescence detection technology is currently the mainstream technology for detecting internal defects in photovoltaic modules. By…
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