Centre for Energy Data Innovation, University of Queensland, Brisbane, QLD, Australia.
PLoS One. 2020 Jul 9;15(7):e0235068. doi: 10.1371/journal.pone.0235068. eCollection 2020.
Advances in digital health technologies have revolutionised home medical care. Yet many home medical devices (HMEDs, which includes devices referred to as 'life support equipment') rely upon a stable and resilient electricity supply. For users of HMEDs, interruptions to electricity supply can compromise treatment, well-being or survival. This paper addresses a challenge critical to the continued innovation in digital health technologies: the reliable supply of electricity. We bridge the current gap between electricity networks and digital health technologies through a novel method for the remote detection of the phase (that is, which part of the network that each house is connected to), in order to eliminate avoidable interruptions to supply for HMED users. We present an unsupervised phase identification algorithm capable of remote phase detection at scale, and without transformer data. This method translates data insights into actionable energy provision for HMED users and other vulnerable customers, enables more accurate management and planning, and improves electricity reliability which is critical for HMED users and the continued advances in digital health technologies.
数字健康技术的进步彻底改变了家庭医疗。然而，许多家庭医疗设备（HMED，包括被称为“生命支持设备”的设备）依赖于稳定和弹性的电力供应。对于 HMED 用户来说，电力供应中断会影响治疗、健康或生存。本文解决了数字健康技术持续创新的关键挑战：可靠的电力供应。我们通过一种新颖的远程检测相位的方法（即每个房屋连接到网络的哪一部分）来弥合电力网络和数字健康技术之间的当前差距，以消除 HMED 用户供电的可避免中断。我们提出了一种无需变压器数据即可实现大规模远程相位检测的无监督相位识别算法。该方法将数据洞察转化为 HMED 用户和其他弱势客户的可行能源供应，实现更准确的管理和规划，并提高电力可靠性，这对 HMED 用户和数字健康技术的持续进步至关重要。
