Resource-Efficiency Product Ratings

资源效率产品评级

• 批准号: 10044677
• 金额: $ 5.32万
• 依托单位: ENTROPY ADVISORS LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10044677
• 关键词: Resource; Efficiency; Product; Ratings

This project uses product attribute data sourced from young consumers in the education system to create the **world's 1st resource-efficiency AI product rating system**. The younger generation will pass on their zeal to others, helping current and future generations of our society drive up resource efficiency, a major requirement of achieving net zero greenhouse gas emissions. Once we have identified the key product areas to focus on, we will apply machine learning and artificial intelligence algorithms to assign colour-coded ratings, **similar to the energy efficiency ratings for white goods**. Initially, we will focus on a select group of product use-cases, before we expand our scope to any type of manufactured product.

本项目使用来自教育系统年轻消费者的产品属性数据，创建**全球首个资源效率AI产品评级系统**。年轻一代将把他们的热情传递给其他人，帮助当代和后代提高资源效率，这是实现温室气体净零排放的主要要求。一旦我们确定了重点关注的关键产品领域，我们将应用机器学习和人工智能算法来分配颜色编码评级，**类似于白色家电的能效评级**。最初，在我们将范围扩展到任何类型的制造产品之前，我们将重点放在一组选定的产品用例上。