人工智能如何塑造可持续纤维的未来

支持生态设计

The environmental impact of any product or clothing is largely determined at the point of design ' when someone chooses what it's made of. AI can help designers create more sustainable products by considering the impact of their choice of fibre on everything from resources needed to manufacture it to end-of-life.'

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例如，人工智能可以分析设计师选用的材料，并推荐符合相同性能标准的、更可持续的替代方案。

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致力于时尚行业透明度的SaaS平台“Fairly Made”开发了一款生态设计工具，旨在帮助时尚品牌了解并改善其设计对环境的影响。

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This includes calculating the Life Cycle Assessment of a design in real time and simulating the impact of any modifications. The system can even make recommendations to reduce a product's impact.

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AI design tools, such as AiDA and Refabric, can also support designers with faster prototyping and testing for new concepts. This includes digital 3D simulations of garments. While these 3D models can't fully replicate everything about the way a fabric falls and feels, the most advanced AI design tools can visualise drape and movement.

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这有助于减少所需的实体原型数量，从而减少总体浪费。

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开发新材料

AI doesn't just help recommend more sustainable materials for production; it's also helping create brand new ones.

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可持续纺织纤维的研发是一个缓慢的过程。人工智能通过识别和模拟可行的方案，正在帮助加快这一进程。

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Materiom 是一个专注于再生材料研发的开放式创新平台，该平台近期推出了一款新的生成式人工智能聊天机器人“Materiom AI”，旨在加速生物基材料的开发。

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其目的是通过提供信息、识别搭配良好的成分，并突出这些组合可能带来的性能提升，从而帮助加快新材料研发的初期阶段。

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TNO's polyScout machine learning programme also helps speed up the development of biodegradable polymers. Researchers can highlight certain properties that they want from a material and polyScout will create the chemical structure for polymers that meets those criteria.

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The model is already being used to assist Senbis, a biodegradable plastics and fibres producer, to develop a new biodegradable polyester that can be used in textiles.'

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减少制造业中的浪费

One of the biggest ways AI is shaping the sustainable fashion future is by helping improve demand forecasting.'

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像Heuritech这样的公司——它提供基于人工智能的视觉识别技术和预测模型——能够帮助时尚品牌提前两年左右识别趋势。Heuritech每天分析超过300万张社交媒体图片，从而帮助建立一个庞大的数据集，供品牌参考。

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AI can also be used to support brands on an individual basis with models that are trained on a specific brand's own design and sales data. This may give more tailored results that apply to the fashion brand's customer base.

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通过设计出人们想要的产品，品牌可以减少滞销和废品。更准确的需求预测也能减少过量生产，因为品牌对哪些产品会畅销有了更清晰的认识。此外，它们还能监控库存并根据需求灵活调整。

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人工智能在减少制造业浪费方面的另一种方式是优化原材料的使用。这包括确保为每种具体产品选用最合适的材料，以防止产品召回和浪费。人工智能还能帮助更准确地预测所需原材料的数量，从而减少超量订购。

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人工智能可用于优化裁剪方案，从而确保制造商充分利用原材料，并减少废料。此外，它还能及早识别并标记产品缺陷，从而调整生产流程，减少次品数量。

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从原料采购到回收利用

AI's ability to analyse vast amounts of data quickly makes it a real asset when looking for sustainable sourcing partners.

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品牌无需逐一评估每种选项，而是可以利用人工智能，根据碳足迹、用水量、化学品使用量和可回收性等因素，帮助其筛选可持续材料选项。这包括对材料所宣称的可持续性进行基准测试，或对相关认证进行复核。

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AI can also analyse and compare different suppliers based on the materials they offer and their own sustainability performance. This might mean the difference between working with a supplier who engages in ethical labour and one that doesn't.

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在产品生命周期末端，人工智能在帮助识别和分类不同材料方面也发挥着作用，尤其是那些更复杂、难以回收的混合材料。这可以提高产品在生命周期末端被回收或再利用的比例。

人工智能还有助于开发分解和回收混合材料的新方法。

人工智能是一种辅助手段，而非实现可持续发展的灵丹妙药

As we can see, AI has lots of potential applications in supporting the fashion industry's mission to become more sustainable. And support is an important term here.

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Because that is what AI is. It's another tool ' a potentially very powerful one ' is helping make necessary changes. But it isn't a sustainability silver bullet.'

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Every use of AI takes its own environmental toll, so the industry must make sure that it is getting more from the tech than it requires to operate. Brands also need to make sure they have robust processes in place for checking, quantifying and confirming AI's recommendations.

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There's another piece of the puzzle though. Brands need to be willing and able to implement any improvements. They need to be able to adjust their workflows to accommodate changes in processes.'

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人工智能或许正在帮助塑造可持续纤维的未来，但真正将这一未来变为现实的，是各大品牌。

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