<p>（第一财经）3 月 31 日——根据生态环境部的一位官员，人工智能技术正在深刻改变中国的环境监测工作，推动颠覆性变化，同时显著降低劳动成本。</p>
<p>生态环境部科技与财务司司长王志斌在昨天的新闻发布会上表示，人工智能和其他数字技术已深度嵌入中国整个生态环境监测过程。随着人工智能的应用，之前间歇性的人工取样已升级为连续智能监测，为环境监测工作带来了颠覆性变化，王志斌指出。</p>
<p>例如，江苏省在 20 个生物多样性观测站安装了 98 个鸟类声音识别设备，收集了近 440,000 个关于 243 种鸟类的监测数据点，劳动监测成本减少了 90%，王志斌指出。</p>
<p>此外，中国建立了一个综合的空气质量监测系统，结合了卫星、空中和地面技术，王志斌表示。该系统开发并使用的 PM2.5（直径小于 2.5 微米的细颗粒物）和臭氧三维监测及预警平台能够实现 “公里每小时” 级别的精准预测，王志斌指出。</p>
<p>72 小时空气质量预测的准确率已提高到 75% 以上，为快速识别污染源和实施针对性减排措施提供了关键数据支持，王志斌强调。</p>
<p>王志斌表示：“人工智能的应用大大增强了监管者的非现场执法能力。通过使用人工智能智能识别技术，他们可以有效识别机动车检查中的欺诈行为，以及重型汽车的非法排放。该技术在检测问题方面的准确率超过 70%，显著降低了监测工作相关的物料和劳动成本。”</p>
<p>在卫星遥感和智能传感技术的帮助下，监管者可以主动识别并及时处理非法排放和固体废物不当储存等违规行为，将环境监管从 “被动响应” 转变为 “主动预防和控制”，王志斌指出。</p>
<p>王志斌表示：“我们建立的绿色可持续污染防治技术体系降低了治理成本，提高了管理效率，为改善区域生态环境提供了有力支持。”</p>
<p>编辑：唐诗华，马丁·卡迪耶夫</p>

<p>人工智能正在彻底改变中国的环境监测，显著降低了劳动成本并提高了效率，来自生态环境部的王志斌表示。人工智能将人工采样转变为持续监测，以江苏省使用鸟鸣识别设备为例，监测成本降低了 90%。一个综合的空气质量监测系统将预测准确率提高到超过 75%，有助于污染源的识别。人工智能还增强了监管执法能力，使得可以对违规行为采取主动措施，从而改善区域生态管理</p>

<p>(Yicai) March 31 -- Artificial intelligence technology is profoundly transforming environmental monitoring efforts in China, driving disruptive changes while also significantly reducing labor costs, according to an official from the Ministry of Ecology and Environment.</p>
<div class="lb-trans"><p>（第一财经）3 月 31 日——根据生态环境部的一位官员，人工智能技术正在深刻改变中国的环境监测工作，推动颠覆性变化，同时显著降低劳动成本。</p>
</div><p>AI and other digital tech have been deeply embedded in the entire ecological and environmental monitoring process in China, Wang Zhibin, director of the ministry's science, technology, and finance department, said at a press conference yesterday. With the application of AI, the previously intermittent manual sampling has been upgraded to continuous intelligent monitoring, bringing disruptive changes to environmental monitoring work, Wang noted.</p>
<div class="lb-trans"><p>生态环境部科技与财务司司长王志斌在昨天的新闻发布会上表示，人工智能和其他数字技术已深度嵌入中国整个生态环境监测过程。随着人工智能的应用，之前间歇性的人工取样已升级为连续智能监测，为环境监测工作带来了颠覆性变化，王志斌指出。</p>
</div><p>For example, Jiangsu province installed 98 bird sound recognition devices across 20 biodiversity observation stations, collecting nearly 440,000 monitoring data points on 243 species of birds and leading to a 90 percent reduction in labor monitoring costs, Wang pointed out.</p>
<div class="lb-trans"><p>例如，江苏省在 20 个生物多样性观测站安装了 98 个鸟类声音识别设备，收集了近 440,000 个关于 243 种鸟类的监测数据点，劳动监测成本减少了 90%，王志斌指出。</p>
</div><p>In addition, China has established an integrated air quality monitoring system combining satellite, aerial, and ground-based technologies, Wang said. The PM2.5 (fine particulate matter less than 2.5 micrometers in diameter) and ozone three-dimensional monitoring and early warning platform developed and used in the system enables precise forecasting at the &#34;kilometer per hour&#34; level, Wang noted.</p>
<div class="lb-trans"><p>此外，中国建立了一个综合的空气质量监测系统，结合了卫星、空中和地面技术，王志斌表示。该系统开发并使用的 PM2.5（直径小于 2.5 微米的细颗粒物）和臭氧三维监测及预警平台能够实现 “公里每小时” 级别的精准预测，王志斌指出。</p>
</div><p>The accuracy of 72-hour air quality forecasts has increased to over 75 percent, providing critical data support for quickly identifying pollution sources and implementing targeted emission reduction measures, Wang stressed.</p>
<div class="lb-trans"><p>72 小时空气质量预测的准确率已提高到 75% 以上，为快速识别污染源和实施针对性减排措施提供了关键数据支持，王志斌强调。</p>
</div><p>&#34;The application of AI has greatly enhanced the non-site enforcement capabilities of regulators,&#34; Wang stated. &#34;By using AI intelligent recognition tech, they can effectively identify fraudulent behaviors during motor vehicle inspections, as well as illegal emissions from heavy autos. The tech has an accuracy rate of over 70 percent in detecting issues, significantly reducing the material and labor costs associated with monitoring work.&#34;</p>
<div class="lb-trans"><p>王志斌表示：“人工智能的应用大大增强了监管者的非现场执法能力。通过使用人工智能智能识别技术，他们可以有效识别机动车检查中的欺诈行为，以及重型汽车的非法排放。该技术在检测问题方面的准确率超过 70%，显著降低了监测工作相关的物料和劳动成本。”</p>
</div><p>With the assistance of satellite remote sensing and smart sensing tech, regulators can proactively identify and promptly address violations such as illegal discharge and improper storage of solid waste, shifting environmental regulation from a &#34;reactive response&#34; to &#34;proactive prevention and control,&#34; Wang pointed out.</p>
<div class="lb-trans"><p>在卫星遥感和智能传感技术的帮助下，监管者可以主动识别并及时处理非法排放和固体废物不当储存等违规行为，将环境监管从 “被动响应” 转变为 “主动预防和控制”，王志斌指出。</p>
</div><p>&#34;The green and sustainable pollution prevention and control tech system we have set has reduced governance costs and enhanced management efficiency, providing strong support for the improvement of the regional ecological environment,&#34; Wang said.</p>
<div class="lb-trans"><p>王志斌表示：“我们建立的绿色可持续污染防治技术体系降低了治理成本，提高了管理效率，为改善区域生态环境提供了有力支持。”</p>
</div><p>Editors: Tang Shihua, Martin Kadiev</p>
<div class="lb-trans"><p>编辑：唐诗华，马丁·卡迪耶夫</p>
</div>

部委官员表示，人工智能正在为中国的环境监测带来颠覆性变化