论文标题
DLT启用智能面具系统可以实现社会合规性
A DLT enabled smart mask system to enable social compliance
论文作者
论文摘要
由于Covid-19仍然引起人们的关注,尤其是由于其突变,因此正确有效地戴口罩仍然是优先事项,以限制疾病的传播。在本文中,我们使用物联网,控制理论和分布式分类帐技术的概念介绍了可穿戴的智能遮罩原型。其目的是通过使用激励措施来鼓励人们遵守社会疏远规范。智能面膜旨在监测二氧化碳和总挥发性有机化合物浓度。检测到的数据附加到基于DAG的DLT,名为IOTA Tangle。 IOTA Tangle确保数据是安全且不可变的,并充当激励机制的通信骨干。开发了基于室内定位的硬件式仿真,以验证设计原型的有效性。
As Covid-19 remains a cause of concern, especially due to its mutations, wearing masks correctly and efficiently remains a priority in order to limit the spread of the disease. In this paper we present a wearable smart-mask prototype using concepts from Internet of Things, Control Theory and Distributed Ledger Technologies. Its purpose is to encourage people to comply with social distancing norms, through the use of incentives. The smart mask is designed to monitor Carbon Dioxide and Total Volatile Organic Compounds concentrations. The detected data is appended to a DAG-based DLT, named the IOTA Tangle. The IOTA Tangle ensures that the data is secure and immutable and acts as a communication backbone for the incentive mechanism. A hardware-in-the-loop simulation, based on indoor positioning, is developed to validate the effectiveness of the designed prototype.