ITEM SPECIFICS
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Brand
Model v1.0IPCM
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origin
Republic of Korea
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Size(Capacity)
None
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Features
Provide S/W installation files in USB or CD format
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Function
Industrial sites status monitoring
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Condition
Industrial software
PRODUCT DESCRIPTION
IPCM (Intelligence Plant Condition Management)
is an intelligent predictive diagnosis system that acquires data from sensors installed in the operation and maintenance of facilities in the process plant field, detects facility abnormalities in advance and provides predictive x-alerts through AI-based big data pattern analysis, and improves operational efficiency and safety.
is an intelligent predictive diagnosis system that acquires data from sensors installed in the operation and maintenance of facilities in the process plant field, detects facility abnormalities in advance and provides predictive x-alerts through AI-based big data pattern analysis, and improves operational efficiency and safety.
Services
① It detects abnormal signs in advance through big data pattern analysis of facilities.
② It prevents facility failures by predicting future data of facilities.
③ it provides alarm and analysis through logic analysis of process facilities
④ It provides predictive diagnosis of start/stop/test section and output reduction section.
- More than 50% of plant facility failures and safety accidents occur in idle conditions such as start-up/stop and repair, not in the normal operation section of the facility. Therefore, IPCM v1.0 performs predictive diagnosis for each operation mode that cannot be monitored by the existing predictive diagnosis system.
① It detects abnormal signs in advance through big data pattern analysis of facilities.
② It prevents facility failures by predicting future data of facilities.
③ it provides alarm and analysis through logic analysis of process facilities
④ It provides predictive diagnosis of start/stop/test section and output reduction section.
- More than 50% of plant facility failures and safety accidents occur in idle conditions such as start-up/stop and repair, not in the normal operation section of the facility. Therefore, IPCM v1.0 performs predictive diagnosis for each operation mode that cannot be monitored by the existing predictive diagnosis system.
Specifications
① Prediction Model Based on Deep Learning Algorithm :
- Calculate real-time expectations.
- Calculate future predictions.
- Determine the type of defect.
② Alarm model based on signal characteristics :
- Alarm based on calculated signal.
- Alarm based on logic operation.
- Alarm based on expected value residuals.
- Alert future predictions.
③ Data Analysis :
- Comparative analysis of trends in sensor data.
- Dashboard to monitor real-time facility health.
- Integrated alarm lookup and alarm cause tracking and management.
- Replay using trends, dashboards, and logic viewers.
① Prediction Model Based on Deep Learning Algorithm :
- Calculate real-time expectations.
- Calculate future predictions.
- Determine the type of defect.
② Alarm model based on signal characteristics :
- Alarm based on calculated signal.
- Alarm based on logic operation.
- Alarm based on expected value residuals.
- Alert future predictions.
③ Data Analysis :
- Comparative analysis of trends in sensor data.
- Dashboard to monitor real-time facility health.
- Integrated alarm lookup and alarm cause tracking and management.
- Replay using trends, dashboards, and logic viewers.
PAYMENTS DETAILS
This supplier supports payments for offline orders
- Letter of Credit : L/C(sight)
- OT
- Name : Myung woo Lee
SHIPPING
Shipping from :
Republic of Korea
- 74 Techno jungang-ro, Yuseong-gu, Daejeon (34018)
GaonPlatform INC.
The person in charge
Man-young ChoAddress
74 Techno jungang-ro, Yuseong-gu, Daejeon (34018)
QR
GaonPlatform INC.
Introduction
Gaon Platform INC. is an AI-based software development company incorporated in Daedeok Research Complex in Daejeon.
Using IoT measurement sensor data and image data, facility failures and safety accidents are predicted and prevented in advance,
Experience optimal processes and maintenance strategies by predicting facility performance and life expectancy.
We will do our best to provide the best technology and the best engineering services
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- Business Type :
- Other
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- Main Product :
- IPCM v10, SSSS v30, AIVA
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- Established :
- 2019-03-01
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- Total Annual Revenue :
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- Total Employees :
- 11~50 people
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TRADE EXPERIENCE
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- Total revenue
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- Total export revenue (previous year in USD)
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- Number of foreign trade employees
- 11~50 people
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