A method for judging the degree of blockage of cutting nozzle

Abstract

The present invention relates to the technical field of plate cutting and blanking, and discloses a method for judging the blockage degree of a cutting nozzle, wherein the sound of airflow at the cutting nozzle is first collected by a microphone, and then the collected sound is read by a computer and converted into a plurality of frequencies and their corresponding amplitudes, and the blockage degree of the cutting nozzle is obtained by analyzing these frequencies and amplitudes, and finally it is determined whether to shut down the machine for processing according to the blockage degree of the cutting nozzle. The present invention can automatically detect the situation that the inner wall of the cutting nozzle is blocked or partially blocked by splashes during the cutting process by monitoring the change of the sound of airflow in the cutting nozzle, thereby solving the dependence on manual labor during the working process and facilitating the improvement of the cutting efficiency and the degree of automation of the equipment.

Description

Technical Field

[0001] The invention relates to the technical field of plate cutting and blanking, and more particularly to a method for judging the degree of blockage of a cutting nozzle. Background Art

[0002] The cutting nozzle is a component used in oxyacetylene flame cutting. During the plate cutting process, gas needs to be ejected from the cutting nozzle at a certain flow rate. However, there will be splashes during the cutting process. When the splashes stick to the inner wall of the cutting nozzle, it will affect the gas flow and shape, and then affect the cutting quality. Therefore, during the cutting process, you need to always pay attention to whether the cutting nozzle is stuck to the splashes. If the splashes are large enough, you need to stop the machine to clear or replace the cutting nozzle.

[0003] Currently, the cutting seam can only be tracked manually with the eyes, and the state of the cutting seam can be observed. The degree of stickiness and splashing of the cutting nozzle can be judged by the state of cutting penetration, slag, splashing, and lines. This is not conducive to one worker operating multiple machines and affects the unmanned operation of the equipment.

[0004] When the cutting equipment is automated, in order to ensure the cutting quality, it is necessary to arrange personnel to conduct on-site inspections regularly, which increases the number of downtimes, affects cutting efficiency, and greatly reduces the significance of automation. Summary of the invention

[0005] In view of this, the present invention provides a method for judging the degree of blockage of the cutting nozzle, which can automatically detect the situation that the inner wall of the cutting nozzle is blocked or partially blocked by splashes during the cutting process, thereby solving the dependence on manual labor during the working process and being conducive to improving the cutting efficiency and automation level of the equipment.

[0006] To achieve the above object, the present invention provides a method for determining the degree of blockage of a cutting nozzle, comprising the following steps:

[0007] S1. Collect the airflow sound at the cutting nozzle through the microphone;

[0008] S2, using a computer to read the collected airflow sound;

[0009] S3, decomposing the collected data into different frequencies and their corresponding amplitudes through mathematical calculations;

[0010] S4. Monitor the vibration amplitude changes of different frequencies. When the amplitude of some frequencies changes, it means that the cutting nozzle is blocked;

[0011] S5. Decide whether to stop the machine for processing based on the degree of blockage of the cutting nozzle.

[0012] Preferably, in step S1, a directional microphone is used to filter sounds from other places.

[0013] Preferably, in step S2, according to all frequencies whose amplitudes of the cutting nozzle reach a certain value under various blockage levels collected by the microphone, the maximum and minimum values ​​of these frequencies are calculated to obtain the range of the required sampling frequency.

[0014] Preferably, the amplifying the frequency range includes lowering the lowest frequency and increasing the maximum frequency.

[0015] Preferably, step S4 comprises the following steps:

[0016] a) Calculate the amplitude of each frequency collected by the pickup under normal conditions and save these values;

[0017] b) establishing a database, wherein the database is used to record the thresholds of amplitude changes at each frequency under different types of cutting nozzles and different gas flow rates, and to record the degree of cutting nozzle blockage corresponding to the thresholds;

[0018] c) Calculate the difference between the current amplitude of each frequency and the corresponding amplitude under normal conditions. When the difference reaches a threshold, compare it with the data in the existing database to obtain the blockage degree of the cutting nozzle.

[0019] Preferably, the step S4 is judged by an artificial intelligence method, comprising the following steps:

[0020] Ⅰ) Input the cutting nozzle model, gas flow, cutting nozzle height parameters, frequency amplitude and current blockage situation into the computer for learning;

[0021] Ⅱ) Use the learning results in production to infer the current cutting parameters and the amplitude of each frequency to obtain the degree of blockage of the cutting nozzle.

[0022] It can be seen from the above technical solutions that, compared with the prior art, the method for judging the degree of blockage of the cutting nozzle disclosed in the present invention monitors the change of the sound of the airflow in the cutting nozzle to find out whether there is new splashing stuck on the inner wall of the cutting nozzle and the degree of blockage of the cutting nozzle, which has the following beneficial effects:

[0023] 1. During the working process of the cutting nozzle, there is always airflow flowing through it, and airflow sound will be emitted when the airflow flows through it. When splashes are stuck inside the cutting nozzle, it will cause changes in the cutting nozzle cavity and the airflow sound. By monitoring the amplitude changes of different frequencies of the airflow sound, the changes in the blockage of the cutting nozzle can be monitored. The sound can be monitored and analyzed by a computer, which is conducive to automation;

[0024] 2. The present invention transforms the process that originally required manual monitoring into computer monitoring, which is conducive to unmanned operation of the equipment or reducing the length of downtime for inspection, and can achieve rapid response, which is conducive to improving cutting efficiency, improving cutting quality, facilitating operation, and reducing labor intensity. More importantly, it solves the need for frequent manual intervention and inspection of automatic cutting equipment, thereby better automating and intelligentizing the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0026] Figure 1 It is a schematic diagram of the airflow flowing in the cavity of the cutting nozzle of the present invention under normal conditions;

[0027] Figure 2 It is a schematic diagram of the flow of airflow with splashes on the inner wall of the cutting nozzle cavity of the present invention;

[0028] Figure 3 The figure is a flow chart of judging the blocking degree of the cutting nozzle according to the present invention.

[0029] Explanation of reference numerals: 1-cutting nozzle, 2-airflow, 3-splash. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Please see attached Figure 1-3 , which is a method for judging the degree of blockage of a cutting nozzle disclosed by the present invention.

[0032] The method for judging the blocking degree of the cutting nozzle provided by the present invention monitors the change of the sound of the airflow 2 in the cutting nozzle 1 to find out whether there is new splash 3 stuck on the inner wall of the cutting nozzle 1 and the blocking degree of the cutting nozzle 1, and specifically comprises the following steps:

[0033] S1. The sound of the airflow 2 flowing at the cutting nozzle 1 is collected by a microphone, wherein a directional microphone can be used to filter the sound from other places, so that the subsequent judgment is less disturbed;

[0034] S2. Using a computer to read the collected airflow sound and convert it into a corresponding frequency value, wherein, according to all the frequencies collected by the pickup at which the amplitude of the cutting nozzle 1 reaches a certain value (determined according to the required control accuracy) under various blockage levels, the maximum and minimum values ​​of these frequencies are calculated to obtain the range of the required sampling frequency, and the frequency range is appropriately enlarged as needed, and the enlargement of the frequency range includes reducing the lowest frequency and increasing the maximum frequency;

[0035] S3, decomposing the collected data into different frequencies and their corresponding amplitudes through mathematical calculations;

[0036] S4, judging the current situation of the cutting nozzle 1, obtaining the blockage degree of the cutting nozzle 1, monitoring the vibration amplitude changes of different frequencies, when the amplitude of some frequencies changes, it indicates that the cutting nozzle 1 is blocked;

[0037] S5. Determine whether to stop the machine for processing according to the degree of blockage of the cutting nozzle 1.

[0038] It should be noted that the blockage degree of the cutting nozzle 1 can be determined in step S4 by two methods:

[0039] The first method, without using artificial intelligence:

[0040] a) Calculate the amplitude of each frequency collected by the pickup under normal conditions and save these values;

[0041] b) establishing a database, the database being used to record the thresholds of amplitude changes at each frequency under different gas flow rates for different types of cutting nozzles 1, and to record the degree of blocking of the cutting nozzles corresponding to the thresholds;

[0042] c) Calculate the difference between the current amplitude of each frequency and the corresponding amplitude under normal conditions. When the difference reaches a threshold, compare it with the data in the existing database to obtain the blockage degree of the cutting nozzle 1.

[0043] The second method uses artificial intelligence:

[0044] Ⅰ) Input the cutting nozzle model, gas flow, cutting nozzle height parameters, frequency amplitude and current blockage situation into the computer for learning;

[0045] Ⅱ) Use the learning results in production to infer the current cutting parameters and the amplitude of each frequency to obtain the blockage degree of cutting nozzle 1.

[0046] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the degree of blockage of a cutting nozzle, characterized in that: The following steps are involved: S1, collecting the sound of the airflow at the cutting nozzle (1) through a microphone; S2, using a computer to read the collected airflow sound; S3, decomposing the collected data into different frequencies and their corresponding amplitudes through mathematical calculations; S4. Monitor the vibration amplitude changes of different frequencies. When the amplitude of some frequencies changes, it indicates that the cutting nozzle (1) is blocked. S5. Determine whether to stop the machine for processing according to the degree of blockage of the cutting nozzle (1).

2. The method for determining the degree of blockage of a cutting nozzle according to claim 1, characterized in that: In step S1, the microphone is a directional microphone to filter out sounds from other places.

3. The method for determining the degree of blockage of a cutting nozzle according to claim 1, characterized in that: In step S2, based on all frequencies of the cutting nozzle (1) whose amplitude reaches a certain value under various blockage levels collected by the microphone, the maximum and minimum values ​​of these frequencies are calculated to obtain the range of the required sampling frequency.

4. The method for determining the degree of blockage of a cutting nozzle according to claim 3, characterized in that: The amplifying the frequency range includes reducing the lowest frequency and increasing the maximum frequency.

5. The method for determining the degree of blockage of a cutting nozzle according to claim 1, characterized in that: The step S4 comprises the following steps: a) Calculate the amplitude of each frequency collected by the pickup under normal conditions and save these values; b) establishing a database, the database being used to record the thresholds of amplitude changes at each frequency for cutting nozzles (1) of different models and different gas flow rates, and recording the degree of cutting nozzle blockage corresponding to each of the thresholds; c) calculating the difference between the amplitude of each current frequency and the corresponding amplitude under normal conditions, and when the difference reaches a threshold, obtaining the degree of blockage of the cutting nozzle (1) by comparing the data in the established database.

6. The method for determining the degree of blockage of a cutting nozzle according to claim 1, characterized in that: The step S4 is judged by an artificial intelligence method, and includes the following steps: Ⅰ) Input the cutting nozzle model, gas flow, cutting nozzle height parameters, frequency amplitude and current blockage situation into the computer for learning; II) Use the learning results to infer the current cutting parameters and the amplitude of each frequency in production to obtain the blockage degree of the cutting nozzle (1).

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