05/05/2025, 11:35 AM UTC
基于传感器的废物分选技术减少回收厂电池火灾数量Sensor-Based Waste Sorting Reduces Number of Battery Fires in Recycling Plants
➀ 弗劳恩霍夫IIS研究所开发了基于传感器和X射线技术的分选系统，利用人工智能检测并分离废弃物流中的锂离子电池，解决德国回收厂80%火灾的根源问题；
➁ 该系统采用高速X射线成像和源自自动驾驶的AI算法识别隐蔽电池，并通过压缩空气喷嘴进行精准分离；
➂ 原型机已进入测试阶段，将于2025年6月部署至LOBBE废物处理公司，并获得德国联邦教研部资助，推动人工智能在循环经济中的应用。
➀ Fraunhofer IIS developed a sensor-based sorting system using X-ray and AI to detect and remove hazardous lithium-ion batteries from waste streams, addressing the root cause of 80% of fires in German recycling plants;
➁ The system employs high-speed X-ray imaging and AI algorithms adapted from autonomous driving to identify concealed batteries, followed by compressed air nozzles to isolate them;
➂ A prototype is undergoing testing and will be deployed at waste company LOBBE in June 2025, supported by German federal funding to advance AI-driven circular economy solutions.
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