Live Automated Materials Plan (LAMP)

实时自动化物料计划 (LAMP)

• 批准号: 104791
• 金额: $ 38.55万
• 依托单位: CARTOCONSULT LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104791
• 关键词: Live; Automated; Materials; Plan; LAMP

"Traditional construction is a low-tech but flexible manufacturing process. It is carried out 'on- site' using pre-manufactured components (windows, doors, bricks, blocks etc) and the manufacture of basic elements such as concrete, plaster etc. Whilst their flexibility has much to commend them (given the bespoke nature of buildings and their geographic distribution) traditional construction methods are inefficient in time and costs; construction has not benefitted from the significant efficiency improvements that have been seen in other manufacturing sectors over the last 20 years.The industry is seeking to address these inefficiencies via initiatives such as off-site manufacture and greater use of automation, and improved communication/component tracking through complex supply chains. However, work is needed to improve the efficiency of the necessarily site-based stages of the construction process.Skanska and Vinci have been working to digitise and integrate data from across their organisation and operations (e.g. business/process data, asset management, construction supply chain etc). However, on-site data across the whole of the construction sector remains predominantly paper-based, with only very basic data analysis carried out to support process planning and management.State-of-the-art data capture and analysis techniques have huge potential in improving on-site process planning and scheduling, for example, a system which uses real-time sensor and historical performance data to enable project planners to optimise bulk materials movements to and from site (e.g. correct numbers/timing of vehicles for the removal of excavation material, timely delivery of construction materials) could lead to efficiency savings of about 18%. Such planning could also be integrated with off-site traffic management solutions in order to minimise the impact of construction on the wider urban environment. However, challenges remain in effectively collating and integrating data from across large construction sites, with internal systems and relevant 3rd party data, developing predictive algorithms and providing outputs in a format that is beneficial to users.LAMP will address this issue. Led by CartoConsult, a UK SME with expertise in data capture and analysis in the context of construction and the built environment, it will develop a POC tool that enables project planners to better predict on-site materials and logistics parameters. It will utilise innovative enabling digital technologies (LoRa, data analytics) to capture, collate and analyse data from real construction programmes, with proactive involvement of project planners working on Vinci and Skanska-led construction programmes, enabling the solution to be tailored to meet the needs of users across the wider construction industry."

传统建筑是一种低技术但灵活的制造工艺。它是使用预制的部件(窗、门、砖、块等)和混凝土、灰泥等基本部件在现场进行的。虽然它们的灵活性很值得称赞(考虑到建筑物的定制性质和地理分布)，但传统的施工方法在时间和成本上效率低下；施工没有从其他制造业在过去20年中看到的显著效率提高中受益。该行业正寻求通过异地制造和更多地使用自动化，以及通过复杂的供应链改进通信/部件跟踪等举措来解决这些低效问题。斯堪斯卡和芬奇一直致力于数字化和整合其组织和运营中的数据(例如业务/流程数据、资产管理、建筑供应链等)。然而，整个建筑行业的现场数据仍然主要是纸质的，只进行了非常基本的数据分析来支持工艺规划和管理。最先进的数据捕获和分析技术在改进现场工艺规划和调度方面具有巨大的潜力，例如，一个使用实时传感器和历史性能数据的系统，使项目规划者能够优化进出工地的大宗材料移动(例如，正确的挖掘材料搬运车辆的数量/时间，及时交付建筑材料)，可以节省约18%的效率。这样的规划也可以与场外交通管理解决方案相结合，以将建设对更广泛的城市环境的影响降至最低。然而，在有效整理和整合来自大型建筑工地的数据、内部系统和相关第三方数据、开发预测算法和以有利于用户的格式提供输出方面仍然存在挑战。LAMP将解决这个问题。在英国中小企业CartoConsult的领导下，该公司将开发一种POC工具，使项目规划者能够更好地预测现场材料和物流参数。CartoConsult是一家英国中小企业，在建筑和建筑环境方面拥有数据捕获和分析的专业知识。它将利用创新的使能数字技术(LORA，数据分析)来捕捉、整理和分析来自实际建筑项目的数据，并让从事芬奇和斯堪斯卡领导的建筑项目的项目规划者积极参与，使解决方案能够量身定做，以满足更广泛建筑行业用户的需求。“