Social Networked Smart Infrastructure Assets

最近社会住房方面发生的悲剧性事件突出表明，需要改变由不同方面拥有、管理和使用的资产的监测和维护方式。资产所有者和管理者必须对他们的决定负责。资产最终用户，例如租户，必须能够获得关于资产检查时间表的最新和明确的信息，以及这些时间表是否得到遵守。必须听取最终用户的意见，收集他们的集体反馈，并将其用于改进资产维护和调度。该项目提出了一种由最新的移动数字技术支持的解决方案，允许所有对资产感兴趣的各方通过同一系统与资产互动、更新记录和留下反馈，并访问相关和重要的信息。所有捕获的数据都将反馈到由机器学习和人工智能技术支持的资产管理流程和时间表中，这些技术智能地过滤用户的输入，并将其与资产管理系统内的现有数据合并。其结果将是根据基础设施资产对租户的价值、资产使用情况和最终用户的反馈来加强决策，并通过两个范例展示，一个在社会住房，一个在大学。我们的目标是使我们社会的成员能够在一个非常痛苦的时刻参与一项透明和值得信赖的变革，以解决如此多人共同关心的相关问题。

Recent, tragic, events in social housing have brought to the forefront the need for change in the way assets that are owned, managed and used by different parties are monitored and maintained. Asset owners and managers must be held accountable for their decisions. Asset end-users e.g. tenants must have access to up-to-date and clear information on asset inspection schedules and whether these are being followed. End-users must be listened to, their collective feedback should be captured and used to improve asset maintenance and scheduling. This project proposes a solution powered by the latest mobile digital technologies that will allow all parties with an interest in an asset to interact with the assets, update records and leave feedback all via the same system, with access to relevant and important information. All data captured will be fed back into the asset management processes and schedules supported by machine learning and artificial intelligence techniques that intelligently filters input from users and merges that with existing data within the asset management systems. The result will be enhanced decision-making based on the value of infrastructural assets to tenants, asset usage and feedback from end-users, showcased by 2 exemplars, one in social housing and one in a University. Our aim is to empower members of our society at a very poignant time to engage with a transparent and trustworthy change that addresses pertinent concerns that are shared by so many.