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KMPHM Prognostics Health Management

KMPHM Prognostics Health Management

KM by providing innovative sensing products, online monitoring of industrial equipment is realized. Based on data drive, intelligent early warning, intelligent diagnosis and cloud services are provided to users based on mechanism and data model, which helps industrial enterprises improve production efficiency, ensure safe production and optimize production decisions, and help enterprises upgrade and transform to intelligent manufacturing.

Features

KMPHM Application value: 

Production process, equipment downtime, resulting in huge production losses.

The number of equipment is large, and inspection is difficult.

There are high temperature, high altitude, and high risk scenarios. It is difficult to find problems in time, and there are factors affecting safety.

The maintenance efficiency and maintenance cost should be optimized by regular overhaul and experiential rush repair.

The level of equipment operation and maintenance management affects enterprise management and personnel training mechanism.

 

Solution advantages:

The sensor adopts wireless + wired combination and the platform software adopts micro-service architecture to achieve flexible and convenient deployment operation and maintenance.

The platform software has API standard interface and multiple field data access protocols to realize open data access integration capability. Based on mechanism & data driven model, intelligent warning + intelligent diagnosis is realized, the system has low threshold and high intelligent level.

Adopt Web application + mobile application + customized large screen to realize multi-touch access.

 

System Application:

Covering 20+ industries such as petrochemical, cement, steel, coal and so on, 200+ customer service;

The number of monitoring equipment is 4000+, the number of measuring points arranged is 20000+, and the type of covering equipment is 200+;

Accumulated 1000+ case base, integrated mechanism analysis, formed PHM domain algorithm model; Early failure detection of equipment 1-3 months in advance, accuracy rate over 95%;

In total, more than 300 equipment failures have been found for users, and 28 major safety accidents have been avoided.

 

System application value:

Early warning 1-3 months in advance to provide a suitable time window for equipment maintenance and repair.

Cover high temperature, high altitude and high risk scenarios to avoid production safety threats caused by mechanical failures.

Avoid unplanned downtime due to mechanical failure and save more than 500,000 production losses each time.

Achieve fault location and improve maintenance efficiency by more than 30%.

Improving the level of enterprise intelligent management is conducive to the retention and talent training mechanism of enterprises.

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