新闻资讯
Solution
Overview of the programme

This scheme uses modern information technology such as Internet of Things, big data, artificial intelligence, etc. to measure and control the equipment operation status and surrounding environmental factors of 16 subsystems such as hospital electrical, elevator, medical oxygen, boiler and so on in 7*24 real-time stereoscopic way. When the equipment operation is abnormal or malfunction, the platform will quickly identify and precisely locate the malfunction information by combining the operation data and video images, and according to the above information, it will locate the malfunction accurately. Fault level and logistical personnel level provide app notification, short message, telephone and other multi-way hierarchical alarm, notify the staff at the first time, eliminate potential safety hazards, and realize closed-loop intelligent management of hospital safety.

Functional highlights
  • Measurement and controlThe real-time intelligent sensing platform of the Internet of Things is constructed, and the data can be uploaded once in 1-3 seconds at the fastest. The system can acquire the fault or abnormal information of the equipment in real-time, and quickly grasp the fault location and cause of the equipment.
  • Security early warningUsing data visualization method to measure and control equipment operation data and environmental factors, alarm authority and mode can be set according to fault level and staff level requirements, which can effectively reduce equipment inspection intensity and safety risk of managers.
     
  • device managementEstablish equipment account database, master equipment maintenance, maintenance records and rules in real time, predict equipment operation failure and problems, and extend the service life of equipment.
     
  • Closed-loop managementSystematic, three-dimensional and dynamic mathematical models are built. Dynamic perception of equipment operation safety is made through edge algorithm and data analysis. Intelligent intervention is carried out before equipment failure to realize the whole life cycle management of equipment.
     
  • Application Customer