ArchAI: AI in archaeology to de-risk construction and land development.

ArchAI：考古学中的人工智能可降低建筑和土地开发的风险。

• 批准号: 10056709
• 金额: $ 6.37万
• 依托单位: ARCHAI LTD
• 依托单位国家: 英国
• 项目类别: Grant for 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=10056709
• 关键词: ArchAI; AI; archaeology; de; risk

Dr Iris Kramer is the founder of ArchAI, a startup based on the world-first technology she developed during her PhD. ArchAI, is de-risking the construction industry by using AI to automatically detect archaeology using earth observation data. Knowing where archaeological sites are located at the earliest planning stages allows accurate estimates of time and cost involved with acquiring planning permission. This means that ArchAI will lower the cost of construction and ensures that vital historical sites are preserved.Construction projects have a big impact on their environment, including archaeology, and it's therefore a legal requirement to assess the potential damages before planning permission is granted. Increasing development and changes to the planning process will likely reduce the accuracy of archaeology assessments and local authorities now fear unrecorded destruction of archaeology and in turn developers fear that archaeology will be found during a construction project.Archaeology is revealed on earth observation data through (1) LiDAR in forested/rough terrain to detect earthwork remains, and (2) satellite imagery in agricultural fields to detect crop stress revealing sub-soil walls and ditches. ArchAI has already developed and tested the LiDAR product across the UK and detected hundreds of previously unknown sites. Our customers include the Forestry Commission and the National Trust.Through initial funding we were able to create a national training database of known archaeological sites and generate national maps with detections of various archaeological site types. The resulting product is highly detailed but requires experts to derive risks proposed by the archaeology. Although this product satisfies some customer needs we have identified that further product development is required to truly address the problem of early stage risk (from archaeology) in the construction industry. In the WIA project we will be addressing this by creating national risk maps which will be based on our national maps but also include risk analysis through (1) predictive modelling based on cultural indicators (e.g. prehistoric settlements are often found near rivers and defended settlements are often found on higher ground) and (2) condition modelling (e.g. archaeological sites in waterlogged condition are more expensive and time consuming to excavate). The resulting map can be interpreted as a traffic light system indicating risk levels and will inform the earliest stages of construction planning such as infrastructure optioneering and scheme design (where archaeology is currently not considered because of the cost).

Iris克雷默博士是ArchAI的创始人，这是一家基于她在博士期间开发的世界上第一项技术的初创公司。ArchAI正在通过使用人工智能来自动检测使用地球观测数据的考古学，从而降低建筑业的风险。在最早的规划阶段就知道考古遗址的位置，可以准确估计获得规划许可所需的时间和成本。这意味着ArchAI将降低建筑成本，并确保重要的历史遗址得到保护。建筑项目对环境有很大影响，包括考古学，因此在授予规划许可之前评估潜在的损害是法律的要求。不断增加的开发和规划过程的变化可能会降低考古评估的准确性，地方当局现在担心未记录的考古破坏，反过来开发商担心考古将在建设项目期间被发现。考古通过地球观测数据揭示：（1）LiDAR在森林/崎岖的地形中检测考古遗迹，以及（2）农田中的卫星图像，以检测揭示底土壁和沟渠的作物应力。ArchAI已经在英国各地开发和测试了LiDAR产品，并检测到了数百个以前未知的地点。我们的客户包括林业委员会和国家信托基金。通过初始资金，我们能够创建已知考古遗址的国家培训数据库，并生成具有各种考古遗址类型检测的国家地图。由此产生的产品是非常详细的，但需要专家得出考古提出的风险。虽然该产品满足了一些客户需求，但我们已经确定，需要进一步的产品开发才能真正解决建筑行业的早期风险（来自考古学）问题。在WIA项目中，我们将通过创建国家风险地图来解决这一问题，这些地图将基于我们的国家地图，但也包括通过（1）基于文化指标的预测模型进行的风险分析（例如，史前定居点通常位于河流附近，而防御性定居点通常位于高地）和（2）条件建模（例如，在水浸情况下挖掘考古遗址的费用较昂贵，而且较费时）。由此产生的地图可以被解释为指示风险水平的交通灯系统，并将为建设规划的最早阶段提供信息，如基础设施优化和方案设计（由于成本原因，目前不考虑考古学）。