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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The DC side of the photovoltaic system carries high-voltage DC voltage for a long time. The insulation layer inside the component cables, combiner boxes, and inverters is susceptible to insulation degradation due to moisture, aging, and external damage, which can cause leakage, grounding short circuits, inverter burnout, and even fire safety accidents. According to GB/T 35694 Photovoltaic Power Station Safety Regulations and IEC 62446 International Photovoltaic Safety Standards, special testing of system insulation resistance must be completed for grid connection acceptance and quarterly operation and maintenance inspections of photovoltaic power stations. Traditional universal megohmmeters are not optimized for photovoltaic active DC systems, and are susceptible to interference from component spontaneous currents during measurement, resulting in numerical distortion and inability to accurately determine insulation faults; Large scale photovoltaic insulation equipment is bulky and not suitable for on-site testing of distributed small-scale power stations on rooftops and households. Jiangsu Jingwei is deeply…
READ MORESolar irradiance is a core benchmark parameter for evaluating the power generation performance of photovoltaic modules, calculating the theoretical power generation of power plants, correcting IV test data, and conducting photovoltaic resource assessments. The accuracy of irradiance measurement directly determines the authenticity and effectiveness of photovoltaic detection data. At present, there are generally two types of measurement pain points in the industry: poor accuracy of simple handheld irradiation sensors and large temperature drift errors, which cannot meet the grid connected acceptance measurement standards; Large fixed radiation monitoring equipment is cumbersome to install and cannot be moved, making it impossible to achieve flexible multi-point sampling of photovoltaic systems on roofs, slopes, and mountains. In response to the demand for full field photovoltaic energy measurement, Jiangsu Jingwei Technology has independently developed the JW-F04 portable irradiance meter, which adopts a second level standard photovoltaic irradiance sensing chip and is equipped with intelligent environmental…
READ MOREDuring the long-term operation of photovoltaic power plants, internal defects such as hidden cracks, broken grids, virtual soldering, black core chips, and fragments are easily caused by module transportation bumps, construction trampling, extreme weather thermal expansion and contraction, and long-term PID attenuation. These hidden dangers cannot be identified through visual inspection or IV performance testing. Long term existence will continue to reduce the power generation of modules, and in severe cases, may trigger hot spot fires, causing huge economic and safety losses to photovoltaic power plants. Traditional EL detection equipment is mostly fixed large-scale instruments that can only be used indoors in factories, and there is a lack of lightweight imaging equipment for outdoor power station inspections; Early split type portable EL devices had shortcomings such as blurred imaging, inability to detect strong light during the day, need for external power supply, and multi person collaborative operation, which greatly restricted…
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