DTB Cloud
Real-time Equipment Status - Production History
Equipment utilization rate, cycle time for each workpiece, and the program number currently running on the robot.
Consumable Real-time Monitoring
Set warning values to prepare in advance and reduce downtime.
Maintenance Indicators - MTTR, MTBF
Equipment failure records and analysis, statistics on failure occurrences based on fault codes and descriptions.
DTB Equipment Cloud Enables Factories to Speak with Data
Realtime Remote Monitoring
- Always monitor machine status.
- By utilizing real-time information based on experience, equipment usage efficiency can be improved by approximately 10-15%.
Warning Notification
- Downtime exceeding 30 minutes.
- Severe event notification.
Analysis & Improvement
- Production quantity, cycle time.
- Quality anomalies.
Data Insights
- Sensor defect detection.
- Multi-modal cavity intelligent flow balancing.
- Container variation adaptive control.
DTb Cloud Infrastructure
DTb Cloud System Features
Equipment Overview
Displays a list of machines by plant area, showing real-time utilization rate, equipment runtime, robot program number, abnormal notifications, and descriptions.
Consumable Usage Monitoring, Consumable Replacement Reminder
- The system automatically calculates consumable usage.
- Users can define a usage notification upper limit.
- Based on the defined usage, users will be notified to replace consumables before they run out.
*Consumable usage statistics method: Measure units are defined according to the consumable properties, typically by time or count.
DTb Cloud APP
Point Inspection
The mobile app automatically receives equipment maintenance and service information, notifying users to perform equipment maintenance, and allows users to easily report maintenance results and records via the phone.
Dual System
Web-based architecture, compatible with any operating system, and also offers a mobile app for easy access to equipment operation and fault status anytime.
Smart Inspection for machines
Quickly identify the status of equipment gauges using the mobile phone camera, and automatically upload the gauge values to the cloud database. Through machine learning technology, easily recognize and record the gauge values of each equipment.
Features
Built-in inspection SOP for equipment
System-guided inspection tasks
Web-based APP
Can be run on any mobile phone
Machine Learning
Replaces manual gauge reading tasks