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景洪办高仿房产证【办证网：bzw987.com】数年来一直专注于办假证行业发展，办证件只有被模仿从未被超越，景洪办高仿房产证【办证网：bzw987.com】凭借多年的经验和先进的设备技术，信誉专业、快速便捷，以及对办假证的高仿真的研究和运用，是一支用实力为客户创造价值的专业办证团队。renshengruxi<p>A team of Chinese scientists is using artificial intelligence to accurately map out carbon emissions in big cities to help urban managers make more evidence-based plans in fighting global warming.</p><p>It is part of China's efforts to peak its carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060.</p><p>Researchers from the Chinese Academy of Sciences' Aerospace Information Research Institute are collecting data from a refitted carbon-monitoring vehicle that is regularly driven through bustling parts of Shenzhen, Guangdong province. Panoramic cameras to capture street scenes have also been mounted on the vehicle.</p><p>The data it collects is transmitted to a laboratory at the institute in Beijing, where a new deep learning algorithm is being trained.</p><p>Driven by the team's algorithm, the cameras can discern sources of carbon emissions and carbon sinks, such as moving cars and buildings, and carbon-fixing vegetation. This allows the AI model to produce estimates of their carbon contributions, either positive or negative.</p><p>"Take a single site as an example. The AI analysis revealed that small cars contribute the most to emissions, followed by trucks," said Wang Li, a researcher from the institute. "The surrounding roads and buildings also contribute to emissions."</p><p>Shenzhen has six carbon monitoring towers, but that's too few to make a detailed emission map, and building more towers would be costly, making alternative and complementary monitoring methods necessary, said Zhang Yonglin, a research assistant on Wang's team.</p><p>It occurred to Zhang, who has a computer science background, that AI could lend a hand and he developed the algorithm.</p><p>"You have at least 100 elements at one single site, and the objects keep changing," said Zhang. "Only AI can calculate viable results."</p><p>So far, 650 kilometers of driving has been completed, obtaining more than 100,000 records of street images and road traffic carbon emissions in Shenzhen.</p><p>After training, the AI model can produce a high-definition map accurate to within 100 meters and its accuracy for road traffic carbon emission intensity has exceeded 92 percent, according to Zhang.</p><p>The model is projected to provide a useful guide for city managers pondering issues like what causes a certain block to see higher carbon emissions and searching for possible solutions. That is the kind of work that remote-sensing carbon satellites and monitoring towers cannot do.</p><p>"The results can remind policymakers to take measures such as increasing efficiency of access in certain road sections, or planting more trees on a block," Zhang said.</p><p>"Sometimes, too much greenery is not all beneficial for reducing carbon concentrations when it results in a pipeline effect. That's what the AI map can tell you."</p><p>Last month, the Ministry of Ecology and Environment set a goal of building a modernized ecological environment monitoring system by 2035 via stepped-up efforts for digital and intelligent upgrading.</p><p>New technologies including AI and the internet of things will be applied to establish an intelligent monitoring system, it said.</p><p>Xinhua</p>
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