How To Handle The Overheating Problem Of The Poultry Feed Pelletizing Line.

Nov 25, 2025

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The core of building an automated temperature monitoring system lies in the rational placement of monitoring points and the selection of precise sensors. Temperature sensors need to be installed on the heat-generating components of key equipment in the feed pelletizing production line: one thermocouple sensor each for the pellet mill's die head, pressure roller bearings, and gearbox; temperature sensors for the crusher's motor, housing, and hammer shafts; and sensors near the motor, gearbox, and pulleys of the transmission system. Industrial-grade sensors with an accuracy of ±0.5℃ should be selected to ensure accurate and reliable temperature data. Simultaneously, ambient temperature sensors should be installed in the workshop to monitor the impact of the external environment on equipment temperature in real time. All sensors transmit temperature data to the central control system via an IoT module for centralized monitoring.

Setting up an intelligent early warning mechanism is crucial to preventing overheating failures. Temperature thresholds for each piece of equipment should be preset in the central control system. For example, the normal threshold for the pellet mill die head is 80-110℃, the warning threshold is 115℃, and the shutdown threshold is 120℃; the normal threshold for the motor is ≤75℃, the warning threshold is 80℃, and the shutdown threshold is 85℃. When the sensor detects that the temperature has reached the warning threshold, the system immediately issues a warning signal through the workshop's audible and visual alarm, and simultaneously highlights the fault location and real-time temperature on the monitoring screen. When the temperature reaches the shutdown threshold, the system automatically issues a shutdown command, cutting off the equipment's power supply to prevent the fault from escalating. Furthermore, the system has data recording and analysis functions, generating equipment temperature change curves. By analyzing these curves, the system can predict equipment wear in advance. For example, if a motor's temperature rises by 5°C continuously within a week, the system will prompt for lubrication checks or component replacement.

The linkage control function automates the handling of overheating issues, further improving system reliability. When the pellet mill die head temperature reaches the warning threshold, the system automatically reduces the feeder's feeding speed while increasing the cooling system's airflow, using these dual measures to lower the temperature. When the crusher motor temperature is too high, the system automatically closes the feed inlet, activates the cleaning device to remove residual raw materials from the crushing chamber, and restarts the equipment after the temperature drops to the normal range. For equipment temperature rises due to excessively high ambient temperatures, the system automatically activates workshop cooling equipment (such as air conditioners and fans) to regulate the workshop's ambient temperature.

Operators can receive early warning information and handling suggestions via a mobile app, allowing them to monitor equipment status and remotely issue commands to address overheating of feed pelletizing equipment even when not in the workshop.

Routine system maintenance requires regular calibration of temperature sensors to ensure data accuracy; checking the connection between sensors and equipment to prevent loosening due to vibration; and regularly backing up temperature data for data analysis to optimize equipment operating parameters and maintenance cycles. This automated monitoring and early warning system not only solves equipment overheating problems but also enhances the overall intelligence level of the production line, providing data support for production management.

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