Intelligent Control System Solution for Peanut Oil Press: Achieving Remote Maintenance and Fault Diagnosis

QI ' E Group
2025-11-26
Solution
This paper presents the design and application practice of an intelligent control system suitable for large - scale peanut oil presses with a processing capacity of 2000 tons per hour. It focuses on how the system enhances equipment stability and production efficiency through automated process control, real - time data monitoring, remote fault diagnosis, and maintenance early warning. Combined with the ISO9001:2000 quality standard and real - world application cases in emerging markets in Africa and Southeast Asia, it demonstrates the significant advantages of intelligent control technology in reducing energy consumption and coping with complex working conditions. This paper aims to provide a clear understanding of the solution and implementation key points for technical engineers and production managers, facilitating large - scale and intelligent production upgrades.
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Intelligent Control System Solution for Peanut Oil Presses: Remote Maintenance and Fault Diagnosis

In the realm of peanut oil production, large - scale operations demand high - efficiency and reliable equipment. This article presents an intelligent control system designed for peanut oil presses capable of processing 2000 tons per hour, highlighting its application and the benefits it brings to production.

System Architecture and Core Function Modules

The intelligent control system for peanut oil presses is composed of multiple core function modules. The automation process control module ensures that every step of the peanut oil extraction process, from peanut feeding to oil separation, is carried out precisely. For example, it can adjust the pressure and temperature of the press according to the moisture content of peanuts, which improves the oil extraction rate by up to 10% compared to traditional systems.

Intelligent control system architecture diagram

The real - time data monitoring module continuously collects data on various parameters such as temperature, pressure, and power consumption. This data is presented in an intuitive dashboard, allowing operators to have a clear view of the production status at any time. In case of any abnormal data, the system can immediately issue an alert.

Remote Fault Diagnosis and Maintenance Early Warning

One of the most significant advantages of this system is its remote fault diagnosis and maintenance early - warning mechanism. Through an Internet - of - Things (IoT) connection, technicians can remotely access the system to diagnose faults. If a potential problem is detected, the system can send a maintenance early - warning message to the relevant personnel, reducing the downtime of the equipment by up to 50%.

Remote fault diagnosis process illustration

Combined with the ISO 9001:2000 quality standard, the system's reliability is further enhanced. This standard ensures that every aspect of the system design, development, and implementation meets strict quality requirements, giving users more confidence in the system's performance.

Adaptability to Different Climates and Working Conditions

The system has excellent adaptability to different climates and working conditions. In Africa, where the climate is hot and dry, and in Southeast Asia, where it is humid and tropical, the system can still operate stably. For instance, in African regions, the system can adjust its cooling mechanism to cope with high - temperature environments, while in Southeast Asian countries, it can prevent moisture - related malfunctions.

System operation in different climate regions

Real - World Application Cases

Let's take a look at some real - world application cases. In an African peanut oil production plant, after implementing this intelligent control system, the energy consumption per ton of peanut oil production was reduced by 15%. In a Southeast Asian factory, the system helped solve the problem of inconsistent oil quality caused by complex raw materials, improving the overall product quality.

Here is a comparison table between traditional systems and the intelligent control system:

Features Traditional System Intelligent Control System
Oil Extraction Rate Around 80% Up to 90%
Energy Consumption High Reduced by 15%
Downtime Long Reduced by 50%

Key implementation points include proper installation and configuration of the system, regular data analysis, and timely response to system alerts. Operators should also receive professional training to make full use of the system's functions.

The intelligent control system for peanut oil presses is a revolutionary solution that can significantly improve production efficiency, reduce costs, and facilitate remote management. If you are a technical engineer or a production manager looking for a way to upgrade your peanut oil production, don't miss out on this opportunity.

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