TRAMS-Construct - Trustworthy, Responsible AI and ML for construction using aggregated and Secure site data.

TRAMS-Construct - 使用聚合且安全的站点数据进行构建的值得信赖、负责任的 AI 和 ML。

• 批准号: 10067960
• 金额: $ 6.21万
• 依托单位: GLIDEOLOGY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10067960
• 关键词: TRAMS; Construct; Trustworthy; Responsible; AI

The project will assess the feasibility of a platform that collates and pre-processes camera, sensor and meta data feeds from on-site construction. It will support SMEs using trustworthy and responsible Artificial Intelligence (AI) and Machine Learning (ML) to develop solutions for construction contractors managing large sites, focusing on priority use cases (e.g. productivity improvement, smart contracts and dispute resolution).The feasibility study will assess:* Requirements for on-site data collation.* End-to-end collation, storage and processing/use requirements/barriers.* Site-specific construction management data needs for priority use case solutions.* Data pre-processing opportunities/requirements.* Sector and use case specific challenges and benefits facing trustworthy and responsible AI and ML.* Supporting revenue and business models.The feasibility study will be led by UK SME **Glideology** (experts in on-site data capture and structuring with a focus on construction) supported by UK digital SMEs with expertise in AI and ML and experience of trust and responsibility issues in the context of process management and immersive environments.Construction sector RTO BRE will support use case development, feasibility study reporting, stakeholder engagement and consortium building. Leading construction contractors will provide the construction use case context.

该项目将评估一个平台的可行性，该平台可以整理和预处理来自现场施工的相机，传感器和Meta数据。它将支持中小企业使用值得信赖和负责任的人工智能（AI）和机器学习（ML），为管理大型工地的建筑承包商开发解决方案，重点关注优先用例（例如提高生产力，智能合同和争议解决）。可行性研究将评估：* 现场数据整理的要求。*端到端整理、存储和处理/使用要求/障碍。优先用例解决方案的特定于现场的施工管理数据需求。*数据预处理机会/要求。值得信赖和负责任的AI和ML面临的行业和用例特定挑战和好处。支持收入和商业模式。可行性研究将由英国SME **Glideology** 领导（现场数据采集和结构专家，专注于建筑）由英国数字中小企业支持，这些中小企业拥有人工智能和机器学习方面的专业知识，以及在流程管理和沉浸式环境中的信任和责任问题方面的经验。建筑行业RTO BRE将支持用例开发，可行性研究报告，利益攸关方参与和建立联合体。领先的建筑承包商将提供建筑用例上下文。