Social Networked Smart Infrastructure Assets

社交网络智能基础设施资产

• 批准号: 104257
• 金额: $ 86.35万
• 依托单位: REDBITE SOLUTIONS LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104257
• 关键词: Social; Networked; Smart; Infrastructure; Assets

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.

最近发生在社会住房领域的悲剧性事件突出表明，需要改变由不同各方拥有、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）必须能够访问有关资产检查时间表的最新和清晰的信息，以及是否遵循这些时间表。必须听取最终用户的意见，应该捕获他们的集体反馈，并用于改进资产维护和调度。该项目提出了一个由最新移动数字技术驱动的解决方案，该解决方案将允许对资产感兴趣的各方通过同一系统与资产进行交互，更新记录并留下反馈，并访问相关和重要的信息。所有捕获的数据都将反馈到资产管理流程和计划中，这些流程和计划由机器学习和人工智能技术支持，智能地过滤来自用户的输入，并将其与资产管理系统中的现有数据合并。结果将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，并通过两个例子（一个在社会住房，一个在大学）来展示。我们的目标是让我们的社会成员在一个非常痛苦的时刻能够参与透明和值得信赖的变革，解决许多人共同关心的相关问题。