Pain Points of Traditional Inspection and Opportunities for Innovation
Semiconductor display panel production requires extremely high cleanliness, often ISO Class 5 or higher. Traditional manual inspection suffers from low efficiency, human interference, and high costs.
To address these issues, Mianyang HKC deployed KQET's intelligent inspection robots, achieving three major upgrades:
- Frequency: From monthly manual checks to daily robot inspections.
- Precision: Reduced secondary pollution caused by humans.
- Parameters: Upgraded from single particle counting to multi-parameter fusion analysis of "concentration-temperature/humidity-airflow".
KQET Intelligent Inspection Robot
Core competitiveness stems from its "three-in-one" technical architecture:
1. Autonomous Navigation & Obstacle Avoidance
Rail + Vision dual redundancy navigation, millimeter-level obstacle detection; SLAM high-precision positioning with ±10mm accuracy.
2. Multi-dimensional Environment Perception
Equipped with various particle counters (0.1um-500um), integrated temperature/humidity sensors, and airflow/pressure sensors.
3. Intelligent Data Analysis & Warning
Cloud data platform builds "cleanliness-equipment parameter" correlation models, sets three-level warning systems, and provides real-time visual management.
From Passive Response to Active Prevention
Mianyang HKC's practice shows significant benefits: increased efficiency, quality assurance, and cost optimization. Both parties are exploring "monitoring-purification-production" full-link automation control, setting an industry benchmark.