Monitoring airborne transmission inside buildings using MF-BM

英国公共卫生关于感染控制的指南将新冠肺炎的主要传播方式归因于咳嗽、打喷嚏和接触受污染表面产生的呼吸道飞沫。重的液滴可以在短距离内从气流中落下，而相对较轻的液滴可以在气流中运动得更远。因此，一个关键的挑战是绘制水滴扩散图，以识别受污染的表面或区域，以将建筑空间中的健康和安全风险降至最低。新冠肺炎已经对全球协同工作空间市场产生了重大影响。然而，由于更多的公司在长期内支持远程工作实践，市场预计在大流行后将会上升。因此，必须采取措施，有效管理不断增长的能源需求和托管协同办公空间的设施的相关碳足迹，同时支持其提供一个健康且安全的新冠肺炎工作场所。这一步骤将确保它不会对更大的脱碳议程产生负面影响。目前，没有任何市场解决方案提供跟踪液滴传播和识别可能受污染的表面或区域的解决方案，而是专注于有效管理暖通空调系统，以保持新鲜的空气供应，并预期稀释建筑物内的病毒颗粒。一些市场提供商提供人工智能支持的视频解决方案，一旦在工作场所检测到活动病例，即可自动跟踪联系人。然而，该解决方案严重依赖广泛的视频监控，可能会给最终用户带来隐私问题。Twin Dynamic Limited(TD)开发了一种多保真建筑模型(MF-BM)技术，该技术可提供建筑空间内的近乎实时的气流和热洞察，并用于评估局部个人居住者的热舒适性和他们的生产力。工厂经理可以使用这些技术数据，在建筑空间内的通风和能源成本之间创造平衡，从而实现最佳的热舒适，从而减少碳足迹。MF-BM的工作原理是将压力、流量和温度传感器的实时数据与高保真流体动力学模拟相结合，使用TD内部开发的代码。然而，由于建筑空间内的气流起到了呼吸性液滴载体的作用，运输署热衷于进一步开发这项技术，以预测近实时的液滴扩散及其在建筑空间内的预测沉降位置。

Public Health England guidance on infection control attributes COVID-19 major transmission modes to respiratory droplets generated though coughing, sneezing and the contact with contaminated surfaces. Heavy droplets can fall out of airstream within a short distance, however relatively light droplets can travel further in air streams. Therefore, a key challenge is mapping droplet spread to identify contaminated surfaces or zones to minimise health and safety risk in building space. COVID-19 has had major impact on the Global Coworking Spaces Market. However, the market is expected to rise post pandemic due to more companies supporting remote working practices in the longer term. Therefore, it becomes imperative to take steps for efficiently managing increasing energy demand and the associated carbon footprint of the facilities hosting coworking spaces whilst supporting it to deliver a healthy and COVID -19 secure workplace. The step would ensure that it does not have a negative impact on the larger decarbonisation agenda.Currently, no market solution offers to track droplet spreading and identify probable contaminated surfaces or zones, instead focussing on effectively managing an HVAC system to maintain fresh supply of airflow with an anticipation of diluting the virus particles inside the building. Some market providers offer AI powered video solutions for automated contact tracing once an active case is detected at the workplace. However, the solution relies heavily on extensive video surveillance and can potentially create privacy issues for the end-user.Twin Dynamics Limited (TD) has developed a Multi-Fidelity Building Model (MF-BM) technology which offers near real-time airflow and thermal insight within the building space and is used to evaluate localised individual occupant thermal comfort and their productivity. This technical data can be used by the Facility Mangers to create a balance between the ventilation inside the building space for optimal thermal comfort and energy cost, which leads to reduce carbon-footprint. MF-BM works by combining real-time pressure, flow rate and temperature sensors' data with high fidelity fluid dynamics simulations, using in-house developed code by TD. However, as airflow within building spaces acts as a respiratory droplet carrier, TD are keen to further develop the technology to predict near real-time droplet spread and its predicted settlement locations within building space.