Gorelli Intelligent Error Detection Classification -FDC
SUMEC INTERNATIONAL TECHNOLOGY CO.,LTD
The supplier hasn’t listed a price. We can get their current prices and MOQ.
Free quotes from independent agents · supplier checks approx. $5–$100 · 100% refund if not satisfied
Gorelli Intelligent Error Detection Classification -FDC
SUMEC INTERNATIONAL TECHNOLOGY CO.,LTDThe supplier hasn’t listed a price. We can get their current prices and MOQ.
Free quotes from independent agents · supplier checks approx. $5–$100 · 100% refund if not satisfied
About this product
- Size: Image Dimensions
- Color: Image color
- Certification: Other
- Usage: Other
- Exports to: Mainland China, Africa, Middle East, Southeast Asia, South Asia, Central Asia, USA and Canada, Latin America, Russia, EU, Other European Countries, Japan and South Korea, Hong Kong China, Macao China and Taiwan China
About this product
- Size: Image Dimensions
- Color: Image color
- Certification: Other
- Usage: Other
- Exports to: Mainland China, Africa, Middle East, Southeast Asia, South Asia, Central Asia, USA and Canada, Latin America, Russia, EU, Other European Countries, Japan and South Korea, Hong Kong China, Macao China and Taiwan China
Product details
| Size | Image Dimensions |
|---|---|
| Color | Image color |
| Certification | Other |
| Usage | Other |
Product details
| Size | Image Dimensions |
|---|---|
| Color | Image color |
| Certification | Other |
| Usage | Other |
From the supplier
Features
01—Data Collection—
On the basis of the configuration of equipment, the system collects the production parameters of equipment and the event information of products entering and exiting equipment, from EAP or BC. The collected data then will be classified and stored in TraceData and SummaryData.
02—Data Analysis—
By comparing and matching the collected and stored parameter information, it will be able to implement abnormal query and analysis of similar equipment and products. The root cause of abnormal incidents is given by the one-click analysis integrated with high-order AI algorithms, improving the analysis efficiency of engineers by more than 10 times.
03—Model Monitoring—
Through classified modeling and control of different production processes, with the integration of SPC rules, the production control mode that violates SPC rules is defined, which will be applied to the corresponding production conditions to realize real-time detection and monitoring of production status.
04—Alarm Notification—
When the SPC rules set by the monitoring model are violated, the relevant engineers will be notified by e-mail or SMS and the control mode will be fed back to MES/EAP system, so as to realize timely feedback and processing of abnormal problems.
Advantage Effect
Real-time Monitoring and Predicting Production Anomalies
Establishing an Appropriate Detection Model
From the supplier
Features
01—Data Collection—
On the basis of the configuration of equipment, the system collects the production parameters of equipment and the event information of products entering and exiting equipment, from EAP or BC. The collected data then will be classified and stored in TraceData and SummaryData.
02—Data Analysis—
By comparing and matching the collected and stored parameter information, it will be able to implement abnormal query and analysis of similar equipment and products. The root cause of abnormal incidents is given by the one-click analysis integrated with high-order AI algorithms, improving the analysis efficiency of engineers by more than 10 times.
03—Model Monitoring—
Through classified modeling and control of different production processes, with the integration of SPC rules, the production control mode that violates SPC rules is defined, which will be applied to the corresponding production conditions to realize real-time detection and monitoring of production status.
04—Alarm Notification—
When the SPC rules set by the monitoring model are violated, the relevant engineers will be notified by e-mail or SMS and the control mode will be fed back to MES/EAP system, so as to realize timely feedback and processing of abnormal problems.
Advantage Effect
Real-time Monitoring and Predicting Production Anomalies
Establishing an Appropriate Detection Model
About the supplier
- ✓Exhibited at 2 recent Canton Fairs
- ✓Foreign Trade Company
- ✓Founded 1999
- ✓1 certificate on file
Manufacturing exhibitors show in Phase 1 of the Canton Fair, 15 to 19 October 2026.
- Exhibited at 2 recent Canton Fairs
- Foreign Trade Company
- Founded 1999
- 1 certificate on file
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