中文版 | ENGLISH    

Your present location:Home >> Products and services >> Industrial Internet >> Predictive maintenance of equipment
Detail
  • 产品名称: Predictive maintenance of equipment
  • 产品编号: g3

Through the IOT sensor installed on the logistics equipment / machine production equipment, the real-time status data of the equipment operation process is collected, and then matched with the equipment maintenance knowledge base at the edge / cloud, which can be used to prompt the maintenance demand of the user's equipment, and can also inform the user of the operation risk information of the equipment in advance; forming the IOT collection end edge computing end cloud big data end Equipment closed-loop management.

 

Industry value

Prompt the maintenance requirements of the equipment in time to effectively extend the service life of the equipment

Real time warning of possible fault information of the equipment, informing the user to deal with it in time to ensure safe production

Provide remote diagnosis and maintenance knowledge base, provide maintenance value-added service or third-party maintenance guidance

The data clearly define the two failure sources of human improper operation and equipment itself, and effectively solve the disputes between both parties

Analyze the utilization rate of equipment through data to support the later marketing strategy

Through real-time data monitoring and analysis, with the help of edge strategy, deal with on-site downtime, material shortage and other emergencies in a timely manner

 

Front end sensor, back end big data

 

Stable and reliable operation of core logistics equipment

Real time video monitoring, visualization of key parameters such as throughput capacity, cargo utilization, equipment parameters, energy consumption, operation tasks, etc。, to ensure the continuous and stable trouble free operation of key logistics equipment and key production equipment。

 

Scarm - equipment online monitoring and remote maintenance

 

Project case: remote maintenance of core equipment (stacker)

Stock quotes:
 

CopyRight © 2016 CSG Smart Science & Technology Co., Ltd. all rights reserved
江苏快三 江苏快三 江苏快三 江苏快三 江苏快三 江苏快三 江苏快三 江苏快三 江苏快三 江苏快三