Automatic control system and method for medium frequency heating cleaning of pipes and rods

Through the automatic control system, collect and analyze the surface state images of the pipe rods, generate a collaborative characterization vector, and automatically adjust the feed speed of medium-frequency heating cleaning, solving the problem that traditional cleaning systems are difficult to cope with different dirt types and degrees, and achieving efficient, energy-saving and safe pipe rod cleaning.

CN118799538BActive Publication Date: 2025-03-18XINJIANG JIN CHENG PETROLEUM CHEM EQUIP CO LTD
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Patent Information

Application Number
CN202411273974.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-12
Publication Date
2025-03-18
Estimated Expiration
2044-09-12

AI Technical Summary

Technical Problem

Traditional medium-frequency heating cleaning systems are difficult to cope with the personalized cleaning needs of different types and degrees of pipe rod dirt, which can easily cause excessive cleaning or insufficient cleaning, affect the cleaning effect and may damage the pipe rod material.

Method used

An automatic control system is provided to collect the state image of the inner and outer surfaces of the pipe rod, perform feature extraction and strengthening processing, and generate a collaborative characterization vector to automatically adjust the feed speed of the pipe rod during the intermediate frequency heating and cleaning process.

Benefits of technology

Intelligent and personalized cleaning based on the inner and outer surface states of the pipe rods is realized, cleaning efficiency is improved, energy consumption is reduced, and damage to the pipe rod materials is avoided.

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Abstract

The present application relates to an automatic control system and method for medium frequency heating cleaning of pipes and rods. The method comprises: collecting the inner surface state image and the outer surface state image of the pipe and rod, and introducing an image processing and analysis algorithm based on artificial intelligence at the back end to perform feature capture and collaborative analysis on the inner surface state image and the outer surface state image of the pipe and rod, so as to extract the collaborative characterization information about the inner and outer surface states of the pipe and rod in the image, and use this information to automatically adjust the feed speed of the pipe and rod during the medium frequency heating cleaning process. In this way, the feed speed during the medium frequency heating cleaning process can be adaptively adjusted based on the dirtiness of the inner and outer surfaces of the pipe and rod, thereby realizing a more intelligent and personalized medium frequency heating cleaning process for the pipe and rod, so as to reduce energy consumption while meeting the cleaning needs of the pipe and rod, and avoid damaging the pipe and rod material.
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