Computer Vision and IoT for Personalised Site Monitoring Analytics in Real-Time (CV-SMART) towards Behaviour-Based Safety

用于实时个性化现场监控分析 (CV-SMART) 的计算机视觉和物联网，以实现基于行为的安全

• 批准号: 106298
• 金额: $ 76.75万
• 依托单位: WINVIC CONSTRUCTION LIMITED
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=106298
• 关键词: Computer; Vision; IoT; Personalised; Site

The "One Death is too Many" (Donaghy, 2009) catchphrase for the UK zero-harm agenda shows that no fatal accident is admissible on construction sites. Modern H&S problems can only be solved from a combination of cultural, social and technical perspectives. A lot of work has been done from cultural and social perspectives, but the technical perspective has been massively ignored (particularly the use of digital technologies). There is a need to take a closer look at how social and technical systems overlap, and how the growing overlap influences H&S on construction sites. However, current approaches address the socio-technical overlap of H&S management separately despite the evidence that suggests that the Zero Harm target and H&S best practices cannot be achieved without effective digitisation in addition to appropriate social interventions (NBS, 2018). The consortium will, therefore, leverage state-of-the-art in computer vision and deep learning (convolutional neural networks and recurrent neural networks) to develop a Computer Vision and IoT for Personalised Site Monitoring Analytics in Real-Time (CV-SMART) for behaviour-based safety in confined construction sites.CV-SMART will automatically detect, recognise and track diverse interacting heavy machines, building components, site activities, and site workers in real-time to (i) enforce H&S best practices and (ii) identify H&S risks and unsafe site practices such as failure to wear safety gadgets (helmets, harness, and personal protective equipment PPE), congested work areas, improper movement of heavy equipment, and improper working positions). CV-SMART will provide a digital visualisation platform, which will employ state-of-the-art in advanced visualisation for Intuitive user interaction and reporting. CV-SMART will alert on-site workers, safety managers, and site managers of H&S best practices and impending risks at the forefront of onsite operations with a minimal human intervention using IoT-enabled devices.

“一次死亡太多”（Donaghy，2009年）是英国零伤害议程的口号，表明建筑工地上不允许发生致命事故。现代的H&S问题只能从文化、社会和技术的角度来解决。从文化和社会的角度做了很多工作，但技术的角度却被大量忽视（特别是数字技术的使用）。有必要仔细研究社会和技术系统如何重叠，以及日益增长的重叠如何影响建筑工地的H&S。然而，目前的方法单独解决了H&S管理的社会技术重叠问题，尽管有证据表明，如果没有有效的数字化以及适当的社会干预，就无法实现零伤害目标和H&S最佳实践（NBS，2018）。因此，该联盟将利用最先进的计算机视觉和深度学习技术（卷积神经网络和递归神经网络）开发用于实时个性化网站监控分析的计算机视觉和物联网CV-SMART将自动检测、识别和跟踪各种相互作用的重型机器、建筑构件、现场活动，和现场工作人员，以（i）实施H&S最佳实践和（ii）识别H&S风险和不安全的现场实践，如未佩戴安全小工具（头盔、安全带和个人防护设备PPE）、拥挤的工作区域、重型设备的不当移动和不当的工作位置）。CV-SMART将提供一个数字可视化平台，该平台将采用最先进的先进可视化技术，以实现直观的用户交互和报告。CV-SMART将提醒现场工人、安全经理和现场经理注意H&S最佳实践以及现场操作最前沿的潜在风险，使用支持物联网的设备进行最少的人为干预。