Phase 2: Developing a prototype AI tool to help commercial fleets adopt optimum zero-emission vehicles and charging infrastructure.

第二阶段：开发原型人工智能工具，帮助商业车队采用最佳的零排放车辆和充电基础设施。

• 批准号: 10009503
• 金额: $ 60.89万
• 依托单位: DYNAMON LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10009503
• 关键词: Phase; Developing; prototype; AI; tool

Regulations to reduce road vehicle emissions mean that logistics fleets are facing the challenge of transitioning from traditional fossil fuel powered vehicles to zero-emissions vehicles. For fleets to manage the transition effectively they must understand the costs and business models of zero-emission vehicles. Whilst legislation sets out the long-term deadline for the adoption of zero-emission vehicles it does not define the path of transition. Without commercial and technical understanding driving the transition to zero-emission vehicles there will be delays in uptake of new technologies, missed opportunities for reductions in harmful emissions, and fleets will incur unnecessary costs. Dynamon can help to solve this problem.Dynamon is a team of data scientists and engineers that build data analytics tools to help logistics companies optimise their procurement decisions to minimise costs and reduce their impact on the environment. In this project Dynamon will create a software tool that will enable fleets to automatically assess the optimum zero-emission vehicle specifications and charging infrastructure requirements to perform their specific operation.This tool will be usable by existing employees of commercial fleets, without expertise in data analytics or vehicle engineering, to provide them with accurate and actionable intelligence enabling them to make informed procurement decisions that minimise total-cost-of-ownership.The tools that Dynamon will create will combine zero-emission vehicle laboratory test data with multiple forms of geospatial data that describe the fleet's unique operation and environmental conditions. By combining these data sources Dynamon will build a digital twin of potential zero-emission vehicles that will accurately forecast key metrics including energy consumption, range, cargo potential, charging requirements, etc allowing the optimum vehicle for the fleet's conditions to be confidently purchased.Dynamon will work closely with fleet partners Wincanton PLC, Sainsbury's PLC and ASDA to ensure that the proposed solution is feasible, meets the needs of commercial fleets, and will have a credible business model to scale both nationally and internationally. Hampshire County Council will provide support and promote this tool to large fleets as part of their ongoing commitment to reduce harmful emissions in their local areas.

减少道路车辆排放的法规意味着物流车队面临着从传统化石燃料动力车辆向零排放车辆过渡的挑战。为了有效地管理过渡，车队必须了解零排放车辆的成本和商业模式。虽然立法规定了采用零排放车辆的长期最后期限，但它并没有确定过渡的路径。如果没有商业和技术上的理解来推动向零排放车辆的过渡，那么新技术的采用就会延迟，错过减少有害排放的机会，车队将产生不必要的成本。Dynamon可以帮助解决这个问题。Dynamon是一个由数据科学家和工程师组成的团队，他们构建数据分析工具，帮助物流公司优化采购决策，以最大限度地降低成本并减少对环境的影响。在该项目中，Dynamon将创建一个软件工具，使车队能够自动评估最佳零排放车辆规格和充电基础设施要求，以执行其特定操作。该工具将可供商业车队的现有员工使用，无需数据分析或车辆工程专业知识，为他们提供准确和可操作的情报，使他们能够做出明智的采购决策，最大限度地减少总成本，Dynamon将创建的工具将联合收割机零排放车辆实验室测试数据与多种形式的地理空间数据相结合，这些数据描述了车队的独特运行和环境条件。通过整合这些数据源，Dynamon将构建潜在零排放车辆的数字孪生模型，该模型将准确预测关键指标，包括能耗、续航里程、载货潜力、充电要求等，从而确保购买到符合车队条件的最佳车辆。Dynamon将与车队合作伙伴Wincanton PLC、Sainsbury's PLC和ASDA密切合作，确保提出的解决方案切实可行，满足商业船队的需求，并将有一个可靠的商业模式，以扩大国内和国际。汉普郡理事会将向大型车队提供支持和推广这一工具，作为他们持续致力于减少当地有害排放的一部分。