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Automated Sesame Oil Production Line: Software-Hardware Integration Guide & Troubleshooting Manual

QI ' E Group
2025-11-07
Tutorial Guide
Master the integration of PLC control logic, sensor coordination, and parameter tuning in automated sesame oil production lines. This practical guide equips you with actionable strategies to diagnose common issues—such as temperature fluctuations and filling accuracy deviations—and implement preventive maintenance routines tailored to your facility’s output scale. Real-world case studies illustrate how precise PID adjustments restored oil yield to 98% efficiency.
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Mastering Your Sesame Oil Production Line: A Practical Guide to Automation Integration & Troubleshooting

You’re not just running a machine—you’re managing a precision system where every sensor, actuator, and PLC parameter matters. Whether you're overseeing a small-scale oil mill or a high-volume production facility, understanding how your automated sesame oil line works—and what to do when it doesn’t—is critical for consistent output and uptime.

Step 1: Know the Core Components

Start with the basics: your system includes a PLC (Programmable Logic Controller), HMI touchscreen interface, temperature/pressure sensors, and motorized valves or pumps. In real-world operation, these components must work in sync—like a well-rehearsed team. For example, if your drying zone temperature drops below 75°C (a common issue), the moisture content in sesame seeds increases by up to 12%, directly impacting oil yield.

Control logic block diagram showing PLC integration with sensors and actuators in a sesame oil production line

Step 2: Optimize Parameters Using PID Control

Many operators overlook PID tuning—it’s often the root cause of inconsistent results. Take this case: a client in India reported frequent over-heating during pressing, causing oil degradation. After adjusting the proportional gain (Kp) from 1.2 to 0.8 and increasing integral time (Ti) from 3s to 5s, they reduced temperature variance from ±8°C to ±2°C—a 75% improvement in stability.

Parameter Default Value Recommended Adjustment
PID Proportional Gain (Kp) 1.2 0.7–0.9
Integral Time (Ti) 3s 4–6s
Setpoint Offset for Pump Speed ±5% ±2%
Before-and-after comparison of temperature fluctuations after PID parameter adjustment in a sesame oil press unit

Step 3: Build a Preventive Maintenance Plan

A proactive monthly checklist can reduce unplanned downtime by up to 40%. Include tasks like checking belt tension (should be 10–15 N/mm²), cleaning flow meters, and calibrating thermocouples against a reference probe. One factory in Nigeria saw a 30% drop in maintenance costs within six months after implementing such a plan.

“We used to wait until something broke—we now fix it before it fails.” — Ahmed Hassan, Plant Manager, Lagos Oil Co.

Step 4: Customize Based on Your Output Needs

If you produce 100 kg/day, a basic control loop suffices. But at 1,000+ kg/day, consider adding redundancy in pressure sensors and integrating data logging via cloud-based SCADA. This allows remote diagnostics and predictive alerts—key for maintaining quality across shifts.

Ready to take control of your sesame oil automation? Download our complete Fault Diagnosis & Optimization Manual—used by over 200 factories worldwide—to boost equipment utilization by 30% or more.

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