III. Application Scenarios: Full-Link Smart Management from Silos to Trays
Scenario 1: Precision Refilling Control for Feed Silos
Installation Method: Vertically mounted on the top of the silo, with the probe aligned to the bottom, avoiding eddy currents near the inlet.
Workflow:
Real-Time Monitoring: Measures level every 10 seconds, syncing data to the smart management system.
Threshold Triggering:
Low-level threshold (red alert, e.g., material height ≤20cm): Triggers mobile APP alarms + automatic refilling.
High-level threshold (e.g., material height ≥180cm): Automatically stops refilling to prevent overflow.
Data Value: In Pig House 3 of a farm, (field test) showed refilling accuracy error <3%, feed waste reduced to 1.2%.
Scenario 2: Dynamic Feeding Regulation for Feed Trays
Installation Method: Inclined 15° above the tray to avoid signal interference from pigs.
Working Logic:
Full Tray Stop: When porridge accumulates to 80% of the tray volume (e.g., height ≥15cm), cuts off the silo feed valve.
Low-Level Refilling: When height drops below 5cm, automatically resumes feeding to maintain tray level at the optimal 8-12cm feeding zone.
Field Effect: Feeding response time <5 seconds during piglet feeding periods, tray residue reduced by 90%, daily feed intake increased by 8%.
IV. Application Results: Cost Reduction and Efficiency Improvement Data
Indicator
Traditional Manual Management
KUS550 Smart Management
Improvement Rate
Labor Cost
3 workers/10 pig houses
1 worker/30 pig houses
66.7% reduction
Feed Waste Rate
8%-10%
<1.5%
85% reduction
Feed-to-Meat Ratio
3.2:1
2.8:1
12.5% improvement
Equipment Failure Rate
≥5 repairs/month
≤2 calibrations/year
92% reduction
Typical Case: After introducing KUS550, a large-scale pig farm saved over ¥400,000 in annual feed costs across 50 pig houses. Calculated by a 6-month fattening period per pig, the feed cost per pig decreased by ¥28, generating an annual efficiency gain of ¥2.8 million for 100,000 pigs (market-ready pigs).
V. Extended Functions: More Possibilities for Intelligent Breeding
Data Traceability and Analysis:
The system automatically generates level change curves, optimizing feeding strategies by integrating with pig age and weight data (e.g., shortening feeding intervals for weaned piglets).
Abnormality Alarm Linkage:
If the sensor detects 3 consecutive abnormal measurements (e.g., signal blockage), it automatically triggers camera capture to identify equipment failures or abnormal pig behavior.
Multi-Terminal Collaborative Management:
Supports real-time alerts on PC management platforms, mobile APPs, and smart wristbands, ensuring breeders respond within 5 minutes.
VI. Conclusion: Redefining the “Precision DNA” of Smart Pig Farming
The Kacise KUS550 ultrasonic level sensor addresses the core challenges of traditional pig farms—inaccurate feeding, high costs, and low efficiency—through its triple advantages of non-contact measurement, intelligent linkage, and data-driven decisions. Its deep application in silos and trays not only achieves precise control of feed from storage to consumption but also lays a data foundation for integrating smart environmental control and health monitoring systems via IoT capabilities, driving the industry toward digital, low-labor, and high-efficiency operations.
Future Outlook: With the integration of AI algorithms and sensor technology, KUS550 can further analyze pig feeding videos to achieve a closed loop of “food intake prediction-dynamic feeding,” ensuring every grain of feed translates into precise growth benefits.
For detailed technical solutions or farm trial applications of KUS550, contact: sales@kacise.com Note: Data in this article are from real customer field tests; specific results may vary slightly by farm environment.
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