High-Density Temperature Monitoring Solutions

I. Technology Overview

Industry Challenges in Thermal Testing

1. Measurement Complexity: 73% of electronic component failures originate from thermal stress (IEEE Reliability Report)
2. Channel Limitations: Conventional systems max out at 64 channels with 1.5°C accuracy
3. Data Integration: 68% testing time wasted on multi-instrument synchronization

NR Series Competitive Edge

Parameter	Market Average	NR Series Solution
Max Channels	64	576
Temperature Accuracy	±1.5°C	±0.3°C
Sampling Rate	10Hz	1kHz
Cross-Channel Isolation	250V	1000V

II. Application Case Studies

1. Automotive ECU Lifetime Validation

Client: Tier 1 Automotive Supplier

• Challenge: Validate 200W power IC under -40°C to 150°C thermal cycling
• KKPCB Implementation:
  • 192-channel deployment (NR-TH08 units)
  • 0.1°C resolution thermal mapping
• Results:
  • 40% faster test cycles vs previous setup
  • Identified 5μm substrate warpage at 127°C

2. Precision Mold Monitoring

Client: Metal Casting Manufacturer

• Technical Highlights:
  • 288 thermocouples in 6×6×8 mold matrix
  • Synchronized with 500-ton press force data
• Process Improvement:
  • Reduced scrap rate from 12% to 3.8%
  • Energy savings of 15% through optimized heating

III. System Architecture

NR-TH08 Module

16-Ch Temp/Voltage

NR-HUB08

8x Module Daisy-Chain

NR-5000 Mainframe

Analysis Software

Key Features:

• Galvanic Isolation: 1000V channel-to-channel
• Smart Sensor Detection: Auto-configures thermocouple types (J/K/T/E)
• Real-Time Alerts: Email/SMS for threshold breaches

IV. Client Value Proposition

1. Test Time Reduction
   • 576-channel parallel acquisition cuts:
     • 8-hour thermal scans → 23 minutes
     • 3-day battery tests → 9 hours
2. Cost Savings
   • Replaces $150k+ specialized equipment
   • 60% lower cabling costs with PoE architecture
3. Future-Proof Design
   • FPGA-based for firmware upgrades
   • API integration with LabVIEW/MATLAB

Case ID: KKPCB-DAQ-2024-NR01
Contact: sales@kkpcb.com

“The NR Series’ 0.3°C accuracy revealed temperature gradients our old system missed, helping prevent $2M in potential recalls.”
— Automotive Quality Director