NFC-4-COVID-19: High rate manufacture of printed NFC microcontroller circuits to transfer COVID-19 point of need antibody diagnostic test results to the Cloud

NFC-4-COVID-19旨在使用通常用于食品包装和印刷标签行业的先进制造工艺，将NFC柔性电路板的制造速度从10，000/小时提高到400，000/小时以上。NFC电路制造速度的阶梯式变化以及将其纳入每个用于家庭测试的COVID-19抗体诊断设备中，使得至关重要的流行病映射数据可以在几秒钟内在云中进行分析。这对于建立一个强大的统计分析样本规模至关重要，使政府能够更快地采取正确的行动，以控制疾病在整个人口中的传播，并就何时应该实施或取消封锁做出明智的决定。NFC-4-COVID-19提供了大流行管理解决方案的一部分，其中抗体测试通过邮政服务分发给每个公民，并按照简单的说明进行测试，测试数据立即发送到安全的基于云的数据管理和仪表板系统。在没有NFC连接的情况下，需要其他形式的数据传输来将数据从诊断传输到智能手机，然后再传输到云端。光学技术遭受差的信噪比，而间接电感测更鲁棒。后者是COVID-19抗体测试的首选方法。该项目基于为长距离RFID标签和标签开发的专有材料和制造方法，并将其应用于智能手机可读标签和设备。极高的生产率将使需求点诊断能够立即将传感器数据、地理位置和用户信息传输到云端，通过人工智能算法、分布式账本、区块链和其他云计算平台（如Microsoft Azure）进行分析和显示。此外，该独特的多层工艺将更可持续，从而允许在使用较少材料的较小电路板上生产更复杂的电路。这些进展将允许制作非常紧凑的配送跟踪和追踪标签，这些标签可以记录敏感货物在储存和配送期间所经历的环境温度和湿度。

NFC-4-COVID-19 aims to increase the manufacturing rate of NFC flexible circuit boards from 10,000/hour to over 400,000/hr using advanced manufacturing processes which are typically used in the food packaging and printed label industry. The step change in manufacturing rate of NFC circuits and their inclusion in each COVID-19 antibody diagnostic device for home testing allows critically important pandemic mapping data to be available in the cloud for analysis within seconds. This is essential to establish a significant sample size for robust statistical analysis to allow governments to take the correct action quicker to control the spread of the disease throughout the population and to allow informed decision to be made on when lock-downs should be enforced or removed. NFC-4-COVID-19 provides one part of the solution to pandemic management, where antibody tests are distributed through postal services to every citizen and following simple instructions allows a test to run and the test data immediately sent to a secure cloud based data management and dash board system. Without NFC connectivity other forms of data transfer are needed to transfer data from the diagnostic to a SMART phone and then to the Cloud. Optical techniques suffer from poor signal to noise, whilst dierect electrical sensing is more robust. The later is the preferred approach for COVID-19 antibody tests.The project builds on proprietary materials and manufacturing methods developed for long range RFID tags and labels and applies these to make smart phone readable labels and devices. The extreme production rate will enable point of need diagnostics to be developed which immediately transfers sensor data, geo-location and user information to the Cloud for analysis and display by artificial intelligence algorithms, distributed ledger, blockchain and other Cloud Computing platforms, such as Microsoft Azure.In addition, the unique multi-layer process will be more sustainable allowing more complex circuitry to be produced on smaller circuit boards which use less material. Such advances will allow very compact distribution track and trace labels to be produced which may log the environmental temperatures and humidity seen by sensitive goods during storage and distribution.