Using Artificial Intelligence to develop a prediction model, increasing the viability of previously unrecyclable, low grade, post-consumer polymers; promoting Clean Growth through business efficiency and helping to achieve Net Zero - ColourAI

使用人工智能开发预测模型，提高以前不可回收的低等级消费后聚合物的可行性；

• 批准号: 80919
• 金额: $ 7.61万
• 依托单位: THE TECHNOLOGY RESEARCH CENTRE LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=80919
• 关键词: Using; Artificial; Intelligence; develop; prediction

A key challenge for plastic recyclers and a major limiting factor in producing recycled polymers, is the wide variation in base polymer input materials which means that meeting the customer specification is very challenging and every batch requires a unique formulation that must be derived experimentally; unlike virgin polymer compounders - who have a standard formulation which will consistently yield a compound with the desired properties. Multiple trial and error iterations are performed to match the specification for colour, as the relationship between mixed colours is not linear (e.g. blue plus yellow inputs do not always produce green). Formulating batches can take an average of 5 iterations to achieve the desired colour - and in some instances this can take up to 20 iterations. This phase 1 technical feasibility study and follow-on phase 2 prototype system development and testing project will help deliver the Government's Clean Growth Strategy by enabling plastic recyclers and compounders to improve business and industry efficiency by reducing processing costs experienced by having to produce multiple test batches of recycled material in order to achieve the customer's colour specification.

塑料回收商面临的一个关键挑战和生产回收聚合物的一个主要限制因素是基础聚合物输入材料的广泛变化，这意味着满足客户规格非常具有挑战性，并且每一批都需要一个必须通过实验得出的独特配方;与原始聚合物混炼机不同，原始聚合物混炼机具有标准配方，可以始终如一地产生具有所需特性的化合物。由于混合颜色之间的关系不是线性的（例如，蓝色加黄色输入并不总是产生绿色），因此执行多次试错迭代以匹配颜色规范。配制批次平均需要5次迭代才能获得所需的颜色-在某些情况下可能需要多达20次迭代。第一阶段的技术可行性研究和后续第二阶段的原型系统开发和测试项目将有助于实现政府的清洁增长战略，使塑料回收商和复合商能够通过降低生产多个测试批次的回收材料以达到客户的颜色规格所经历的处理成本来提高商业和工业效率。