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舒适的技术

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 Leveraging IoT for Predictive Maintenance in Healthcare: A Case Study of Bluewater Health - IoT ONE Case Study
技术
  • 分析与建模 - 预测分析
  • 功能应用 - 计算机化维护管理系统 (CMMS)
适用行业
  • 建筑物
  • 医疗保健和医院
适用功能
  • 设施管理
  • 维护
用例
  • 楼宇自动化与控制
  • 预测性维护
服务
  • 系统集成
挑战

尽管许多设施经理有类似的职责和压力,但医院支持服务经理的角色涉及额外的重力。因为监控设施不仅仅意味着跟踪能源效率和保持灯亮。从字面上看,它可能意味着生或死。

以下是医院支持服务经理关注的快速列表:

  • 手术室的加热和冷却系统是否按要求运行以防止停机?
  • 机械设备是否得到妥善维护以避免暴露于危险中?
  • 公用事业是否正在优化以允许将医院的更多有限资源用于患者护理?
  • 如果建筑物断电,应急发电机是否准备好工作?
客户
关于客户

Bluewater Health是一家加拿大医疗保健机构,在安大略省 Petrolia 和 Sarnia 设有医院。该组织的特色是一座有 10 年历史的重建,以及一座有 60 年历史的建筑和一座正在重建中的 110 年历史的建筑。 Sarnia 设施的 317,000 平方英尺增加了一个更大的急诊室;一个拥有 8 个手术室和 4 个手术室的外科中心,以及一个综合的母婴/儿童项目,在一层楼提供分娩、分娩和儿科服务。

解决方案

该解决方案在整个建筑组合中捕获实时建筑数据,并为每个建筑计算最佳设定点策略,然后自动调整设定点,无需人工干预。

实施后,Honeywell Forge 开始分析已从 EBI(我们的楼宇自动化系统)获得的所有数据,并根据创建的规则就未以最佳方式运行的内容提供反馈。新系统开始从 1000 多个信息源中提取信息,并且几乎立即就任何读数超出可接受范围的内容提供反馈。

运营影响
  • The implementation of Honeywell Forge brought about significant operational benefits for Bluewater Health. The maintenance staff reported increased job satisfaction as they spent more time performing regular, planned maintenance and strategizing about system improvements, rather than reacting to concerns reported by frontline staff. The ability to monitor hydro and gas consumption on a daily basis proved extremely helpful. The hospital now has a dashboard showing live maintenance data, trends, vulnerabilities, and predictive comfort levels. This has increased the comfort level for staff, as they can be more confident that everything from the operating rooms to the chemotherapy prep areas, and the isolation rooms to the infant nurseries are all working optimally. The peak performance of systems coupled with the predictive corrective measures ensure that the patients themselves enjoy the cleanest, most ideal temperature-controlled rooms, enhancing their healthcare experience and overall comfort level. The support services manager’s role has also become more proactive, allowing for better care of the facilities that provide care for the community.
数量效益
  • 12.97% Average reduction in energy use
  • 11.71% Average reduction in natural gas use
  • Potential for cost savings by extending the life of air filters by six months to a year

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