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What is the degree of automation of the rotary drum granulator

2025-04-29

The degree of automation of the rotary drum granulator has significantly improved in recent years, mainly reflected in the following aspects:

1. Automatic feeding and discharging: Modern drum granulators are usually equipped with automatic feeding and discharging systems, which can achieve continuous supply of materials and automatic discharge of finished products, reducing manual intervention and improving production efficiency.

2. Intelligent Control System: The drum granulator is equipped with an advanced intelligent control system that can monitor and adjust the operating parameters of the equipment in real time. These systems can automatically adjust according to the production demands of the organic fertilizer production line to ensure that the equipment always operates in the best condition.

3. Parameter adjustment and Optimization: The automated system of the equipment can automatically adjust parameters such as the rotational speed, inclination Angle, and liquid spray volume of the drum according to the characteristics of different materials and production requirements, in order to achieve the best granulation effect. This regulatory ability not only enhances production efficiency but also ensures the stability of product quality.

4. Remote monitoring and Fault Diagnosis: With the help of Internet of Things (iot) technology, some drum granulators support remote monitoring and fault diagnosis functions. Operators can remotely check the operating status of the equipment via mobile phones or computers and promptly identify and handle potential problems.

5. Energy conservation and environmental protection: The automated control system can also optimize energy usage. For instance, by precisely controlling the addition of steam and water, it can reduce energy waste and simultaneously lower dust emissions during the production process.

In the future, the degree of automation of drum granulators will be further enhanced. With the introduction of artificial intelligence and big data technologies, equipment will possess stronger adaptive capabilities and predictive maintenance functions, further enhancing production efficiency and product quality.

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