05/05/2025, 11:20 AM UTC
基于传感器废物分选技术减少回收厂电池火灾Fewer Battery Fires in Recycling Plants Thanks to Sensor-Based Waste Sorting
➀ 弗劳恩霍夫集成电路研究所开发了基于传感器和X光技术的分选系统，利用人工智能检测并分离废弃锂离子电池，降低回收厂火灾风险；
➁ 该系统采用高速传送带、实时X射线成像及源自自动驾驶的AI技术识别电池，并通过气动喷嘴精准分拣；
➂ 该项目由德国联邦教研部资助，旨在推动人工智能在塑料包装资源循环经济中的应用。
➀ Researchers at Fraunhofer IIS developed a sensor-based sorting system using X-ray and AI to detect and remove lithium-ion batteries from waste streams, reducing fire risks in recycling plants;
➁ The system combines high-speed conveyor belts, real-time X-ray imaging, and AI adapted from autonomous driving technology to identify batteries, followed by air nozzles for precise separation;
➂ Funded by the German government, the project is part of a broader initiative to advance AI applications in resource-efficient circular economies for plastic packaging.
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