Platform
• Define the problem to solve sensor-based data
• Collect and analyze data required for AIoT model training
• Build API for each AI model according to machine learning and deep learning algorithms
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Sensor & Module Design
• High sensitivity sensor selection
• LTE-based interface
• Low power module designIoT Sensor
Sensor - Applicable to various materials
Connectivity smartphone - Field exploration
LTE & IoT network to LoRa support available -
AIoT Management System
• Artificial intelligence IoT platform
• Build AI predictive models
• Crack, fault diagnosis, location predictionAIoTCloud
Crack, fault diagnosis and location calculation
Strengthen security by using domestic servers
AI analysis-based crack, failure prediction -
SaaS Platform Integration
• Integrated SaaS platform management system
• Report of analysis and diagnosis result
• Diagnostic visualization dashboardDiagnosis APP
Provide maintenance report of fault diagnosis
Web-based service linked with GIS
Provides status through accumulated analysis data - 원격상시
- Web
kubwa DT Analytics Process for Manufacturing
kubwa AIoT Cloud Process for Manufacturing
AIoT Predictive Diagnosis Dashboard for Machine Facilities
• Real-time data from IoT vibration and current sensors are used to diagnose failure prediction as an AI model
• Transmit results of fault classification diagnosis (inference) to visualization DB
• Various indicators of machine prediction display on dashboard
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Data Warehouse
IoT Motor Diagnosis
Vibration Sensor DW -
Inference
AI Classification -
Visualization DB
Visualization
DB Construction -
Facility Monitoring
User Group: Admin.