Connected Worker Disease Prevention for Construction Sector

该项目将为建筑工人开发一个职业健康与安全(OHS)软件工具，该工具将首次通过准确计算工人暴露在三种主要建筑危险(噪音/粉尘/振动)下来预防疾病。通过将疾病进展和监管库相结合，提供对工人风险的预测性洞察，以最大限度地减少工人暴露，提高合规性，并减少损失的工作日(英国建筑成本为8.48亿GB/年)。Eartex(领先)是为建筑部门开发智能个人防护设备和OHS软件的行业领先者，在听力保护方面拥有丰富的经验。工业噪声和振动中心(INVC-Partner)是工业噪声、振动和粉尘方面的专家。在施工中执行各种工作流程时，准确确定单个工人的OHS风险的概念源于Eartex与其现有客户(包括Galliford-Try和HS2\)的直接协商。Galliford-Try和HS2已同意提供对现场、数据和概念验证反馈的访问，这些是拟议项目的关键输入，并表明客户对拟议创新的需求。该项目将开发一种新的软件工具，使用实时制造和OHS数据来识别高风险流程/工作流程，并进行预测性分析和人工智能，为工作流程订单和个人部署的决策提供信息，以将工人风险降至最低。帮助公司遵守职业健康安全法规(ISO45001)并降低罚款成本。主要特点/产出措施：*自动为每个工作流程/过程生成风险暴露模型，突出整个建筑任务的职业健康安全风险热点。*预测性分析使用户能够单独或在整个工作流程中识别风险热点并预测该任务的总体职业健康安全影响。*实时控制监控生产机器，以确定可能对工人健康产生负面影响的暴露变化。包括个人防护装备适合度检查。*允许公司计算对工人的风险，并安排任务，以将工人暴露在最低限度(接触限值警告/个人防护装备适合度检查)降至最低。*电子数据交换：工人个人接触记录/疾病进展，以适应不同的耐受/暴露水平和/或先前存在的健康状况。

This project will develop an Occupational Health and Safety (OHS) software tool for construction workers that will for the first-time prevent disease by accurately calculating individual workers exposure to three key construction hazards(noise/dust/vibration). Provide predictive insights to worker risks by combining disease progression and a regulatory library to minimise worker exposure, improve compliance, and reduce lost workdays (costs UK construction £848M/year).Eartex (Lead) is an industry leader in developing SMART-PPE and OHS-software for the construction sector, with extensive experience in hearing protection. The Industrial Noise and Vibration Centre (INVC-Partner) are experts in industrial noise, vibration and dust.The concept to accurately determine OHS-risks of individual workers while performing various workflows within construction arose from direct consultation between Eartex and their existing customers including Galliford-Try and HS2\. Galliford-Try and HS2 have agreed to provide access to site, data and feedback on proof-of-concept, which are critical inputs to the proposed project and demonstrate a customer need for the proposed innovation.The project will develop a novel software tool that uses Real-time manufacturing and OHS-data to identify high risk processes/workflows and predictive analytics and AI to inform decisions on workflow orders and personal deployment to minimise worker risk. Helping companies adhere to OHS-legislation (ISO45001) and reduce the cost of fines.Key features/output measures:* Automatically generate risk exposure model for each workflow/process, highlighting OHS-risk hotspots of the whole construction task.* Predictive analysis allows users to identify risk hotspots and predict overall OHS-impact for that task, individually or over the full workflow.* Real-time control monitoring production machines in real-time to identify exposure changes that may negatively impact worker health. Including PPE fit-check.* Allow companies to calculate the risk to workers and schedule tasks to minimise worker exposure(exposure limit warnings/PPE Fit-check).* EDI: individual worker exposure logs/disease progression to accommodate different tolerance/exposure levels and/or pre-existing health conditions.