Proactive Intelligent Construction Site Management Enabled by Automated On Site Monitoring (PRISM)

**PRISM** 将开发一个数字化的施工规划和管理解决方案，为现场施工提供逐步变化的生产力改进。现场施工受到多种问题的影响，这些问题可能会随着时间的推移而累积，导致整体计划延迟并增加项目风险。短期（前瞻）计划旨在通过每天做出更好的决策来避免/最大限度地减少这些延迟。为此，关于任务进度、资源可用性/利用率和场地特定因素（例如，待移动的材料、地面条件、通道、天气）等问题的准确信息至关重要。然而，到目前为止，这些信息只能通过人工检查的反馈或现场经理在任务完成后或问题已经出现时的“临时”更新获得。PRISM解决了这一挑战。它建立在数字设备（如固定和移动的摄像机/扫描仪）所创造的机会之上，这些设备可以实现连续的现场监控。这些新技术在建筑中的使用正在增长，并将在高速，低延迟5G网络等最新创新的推动下加速。然而，这些解决方案目前需要专业人员来监视/解释图像，这可能导致数据过载（用户无法知道将注意力集中在哪里），因此，PRISM将开发一个使用基于AI的算法的分析引擎，（应用于来自现场监测设备的过滤/分类数据馈送）以近实时地生成关于关键施工任务的目标信息。由此产生的信息流将被纳入前瞻性规划，使现场管理人员能够对不断变化的问题迅速作出反应，通过重新安排活动或重新分配资源，避免时间/成本至关重要的延误。该项目将开发一个用于快速部署的预商用“最小可行产品”解决方案，并可随着时间的推移进行增强。在领先的建筑承包商 **BAM** 和 **Costain ** 以及建筑研究机构（**BRE**）的支持下，

**PRISM** will develop a digitally-enabled construction planning and management solution that delivers step-change productivity improvements for on-site construction.On-site construction is impacted by multiple issues that can accrue over time to cause overall programme delays and increase project risk. Short-term (Lookahead) planning aims to avoid/minimise these delays by enabling incrementally better decisions on a daily basis. To do this, accurate information on issues such as task progress, resource availability/utilisation and site-specific factors (e.g. materials to be moved, ground conditions, access, weather) is essential. However, to date such information is obtained only via feedback from manual inspection or from 'ad-hoc' updates from site managers after task completion or when issues have already arisen.PRISM addresses this challenge. It builds on opportunities created by digital devices such as fixed and mobile cameras/scanners that enable continuous site monitoring. The use of these new technologies in construction is growing and will accelerate, facilitated by recent innovations such as high speed, low-latency 5G networks. However, these solutions currently require expert staff to monitor/interpret images, potentially leading to data overload (with users unable to know where to focus attention), or limiting their full benefit to specific/focussed scenarios.PRISM will therefore develop an analysis engine that uses AI-based algorithms (applied to filtered/triaged data feeds from on-site monitoring devices) to generate targeted information on critical construction tasks in near real-time. The resulting information streams will be integrated into lookahead planning, enabling site mangers to rapidly react to evolving issues, avoiding time/cost-critical delays by rescheduling activities or reallocating resources. The project will develop a pre-commercial 'minimum-viable-product' solution for rapid deployment and which can be enhanced over time.PRISM will be led by UK SME **Trackchain** (data analytics) with **Glideology** (data collation/triaging) and **Aphex** (lookahead planning), supported by leading construction contractors **BAM** and **Costain**, and the Building Research Establishment (**BRE**).