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Leveraging IoT for Predictive Maintenance in Healthcare: A Case Study of Bluewater Health
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
蓝水健康
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
数量效益
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