AI Process Mapper for the Waste & Recycling Industry

SortFlow Limited是一家位于伦敦的清洁技术公司，该公司开发了一个设计、建模和虚拟测试废物回收过程的平台。在这个项目中，我们将开发一个新的软件模块，从废物分类和回收工厂的光学分拣设备和人工智能（AI）视觉系统收集数据，并将其集成到人工智能驱动的实时流程图中。人工智能过程映射器将为工厂操作员提供有关过程性能、性能不佳原因和纠正措施建议的实时可操作见解。作为项目的一部分，我们将通过机器学习模型，使用“监督学习”来处理从试点工厂收集的数据，以识别在分拣生产线中测量的输出质量和分拣设备输入数据之间的模式和联系，以了解性能变化背后的原因，并确定改进、优化流程和进行性能预测的机会。该解决方案将优化工厂回收流程，并提供更好的回收和纯度的可回收废物，这将反过来有助于减少可回收物被填埋或焚烧的数量（以及相关的二氧化碳排放），并增加废物和回收设施的收入。

SortFlow Limited is a London-based cleantech company which has developed, a platform to design, model and virtually test waste recycling processes.In this project, we will develop a new software module which takes data collected from optical sorting equipment and Artificial Intelligence (AI) vision systems in waste sorting and recycling plants, and integrates it into an AI powered live process map. The AI Process Mapper will provide to plant operators real time actionable insight into process performance, causes for underperformance and corrective action recommendations.As part of the project, we will process the data collected from pilot plants through machine learning models using 'supervised learning' to identify patterns and connections between the output qualities measured and sorting equipment infeed data in the sorting lines to understand the reasons behind performance variations and identify opportunities to improve, optimise processes and make performance predictions.The solution will optimise plant recycling processes and provide better recovery and purity of recyclable waste materials, which will in turn help to reduce the amount of recyclables being landfilled or incinerated (and the associated CO2 emissions) and increase revenue for waste and recycling facilities.