A cooling control method for a laser cutting module of an embroidery machine

Abstract

The application provides a cooling control method of a laser cutting module of an embroidery machine, which improves control linkage and avoids monitoring hysteresis. The method comprises the following steps: reading an output signal of a cooling device monitoring port in response to a start demand signal of the laser cutting module; if the output signal of the cooling device monitoring port is a non-0V signal, sending a start response signal to the laser cutting module to start the laser cutting module; if the output signal of the cooling device monitoring port is a 0V signal, sending an alarm signal to reject the start demand signal of the laser cutting module and not to start the laser cutting module. The cooling control method of the laser cutting module of the embroidery machine links the start demand of the laser cutting module with the output signal of the cooling device monitoring port, and the laser cutting module is not started when the cooling device is in an abnormal state, so that the stability of the laser cutting effect is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to a control method of an embroidery machine, in particular to a cooling control method of a laser cutting module of an embroidery machine, and belongs to the technical field of embroidery machine manufacturing. BACKGROUND

[0002] At present, the application of laser cutting module on embroidery machine has been more and more widely. A embroidery machine usually has several groups to tens of groups of laser cutting module, when the laser cutting module is used for a long time, the laser tube of the laser generator will gradually heat up, if it cannot be cooled in time, it will lead to poor cutting effect, and even the phenomenon of tube explosion. Therefore, the cooling device for cooling the laser cutting module is very important to the stability and safety of the laser cutting.

[0003] The cooling device of the existing embroidery machine usually has an abnormal alarm function, but it is not linked with the control system which controls the working of the laser cutting module. When the cooling water in the cooling device has abnormal conditions such as too high water temperature and insufficient flow, or the cooling device is in an abnormal state such as water shortage or shutdown, the laser cutting module of the embroidery machine still works normally, which is easy to cause poor cooling and abnormal or damage of the laser generator. Moreover, the existing embroidery machine has a certain hysteresis in monitoring the abnormality of the cooling device. When the abnormality of the cooling device is determined, the laser generator of the laser cutting module has been running at high temperature for a period of time, and the damage of high temperature to the laser tube has already occurred, which seriously affects the service life of the laser cutting module under long-term operation. SUMMARY

[0004] Based on the above background, the purpose of the present application is to provide a cooling control method of the laser cutting module of the embroidery machine, which improves the control linkage and avoids the monitoring hysteresis.

[0005] In order to achieve the above-mentioned purpose of the application, the present application provides the following technical scheme:

[0006] A cooling control method of a laser cutting module of an embroidery machine, the method comprising the following steps:

[0007] In response to the start demand signal of the laser cutting module, reading the output signal of the cooling device monitoring port;

[0008] If the output signal of the cooling device monitoring port is a non-0V signal, send a start response signal to the laser cutting module to start the laser cutting module;

[0009] If the output signal of the cooling device monitoring port is a 0V signal, send an alarm signal, refuse the start demand signal of the laser cutting module, and do not start the laser cutting module.

[0010] As preferred, the cooling device comprises a cooling water tank, a cooling water channel, a liquid level sensor, a flow meter, a first temperature sensor and a second temperature sensor, the cooling water tank is communicated with the laser cutting module through the cooling water channel, the liquid level sensor is arranged in the cooling water tank, the flow meter is arranged in the cooling water channel, the first temperature sensor is arranged at the connection between the cooling water tank and the cooling water channel, and the second temperature sensor is arranged in the laser cutting module; the output signal of the cooling device monitoring port is obtained by the following method:

[0011] The temperature value of the first temperature sensor and the flow value of the flow meter are obtained, and the total power consumption of the laser cutting module per unit time is obtained, and the theoretical temperature rise of the laser cutting module per unit time is calculated;

[0012] The temperature value of the second temperature sensor is obtained, and the actual temperature rise of the laser cutting module per unit time is calculated;

[0013] The alarm condition is set, and the alarm condition includes that the exceeding value of the actual temperature rise of the laser cutting module per unit time relative to the theoretical temperature rise of the laser cutting module per unit time reaches a first set threshold;

[0014] If the alarm condition is triggered, the output signal of the cooling device monitoring port is controlled to be a 0V signal.

[0015] As preferred, the alarm condition further includes that the liquid level value of the liquid level sensor is lower than a second set threshold and the flow value of the flow meter is lower than a third set threshold.

[0016] As preferred, if at least one of the alarm conditions is triggered, the output signal of the cooling device monitoring port is controlled to be a 0V signal.

[0017] As preferred, the calculation of the theoretical temperature rise of the laser cutting module per unit time comprises:

[0018] A neural network model is established, taking the temperature value of the first temperature sensor, the flow value of the flow meter and the total power consumption of the laser cutting module per unit time as inputs, and taking the temperature rise of the laser cutting module per unit time as output;

[0019] According to the historical data of the temperature value of the first temperature sensor, the flow value of the flow meter, the total power consumption of the laser cutting module per unit time and the actual temperature rise of the laser cutting module per unit time, the neural network model is trained to obtain a trained neural network model;

[0020] The current temperature value of the first temperature sensor, the flow value of the flow meter and the total power consumption of the laser cutting module per unit time are substituted into the trained neural network model to obtain the theoretical temperature rise of the laser cutting module per unit time.

[0021] As preferred, the neural network model is a deep neural network model, and the deep neural network model comprises four feature extraction modules.

[0022] As preferred, in the feature extraction modules, three of the feature extraction modules each comprise a full connection unit, a linear rectified linear unit, a batch normalization unit and a partial dropout neuron unit, and one of the feature extraction modules comprises a full connection unit, a batch normalization unit and a partial dropout neuron unit.

[0023] Compared with the prior art, the present application has the following advantages:

[0024] The cooling control method of the laser cutting module of the embroidery machine of the present application links the output signal of the cooling device monitoring port required for starting the laser cutting module, and does not start the laser cutting module when the cooling device is in an abnormal state, thereby ensuring the stability of the laser cutting effect.

[0025] The method of the present application uses the comparison between the actual temperature rise of the laser cutting module per unit time and the theoretical temperature rise of the laser cutting module per unit time as the alarm condition of the output signal of the cooling device monitoring port, thereby avoiding the hysteresis of abnormal monitoring of the cooling device and more accurately reflecting the real situation of the cooling state of the laser cutting module.

[0026] The method of the present application effectively prolongs the service life of the laser cutting module. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the provided drawings.

[0028] Figure 1 is a flowchart of the cooling control method of the laser cutting module of the embroidery machine of the present application;

[0029] Figure 2 is a structural schematic diagram of the laser cutting module and the cooling device in the present application.

[0030] In the figure: 1, cooling water tank; 2, cooling water channel; 3, liquid level sensor; 4, flowmeter; 5, first temperature sensor; 6, second temperature sensor; 7, laser cutting module. DETAILED DESCRIPTION

[0031] The technical solution of the present invention will be further described in detail below through specific embodiments and in conjunction with the accompanying drawings. It should be understood that the implementation of the present invention is not limited to the following embodiments, and any modifications and / or alterations made to the present invention will fall within the protection scope of the present invention.

[0032] In this invention, unless otherwise specified, all parts and percentages are by weight, and the equipment and raw materials used are commercially available or commonly used in the art. Unless otherwise specified, the methods in the following embodiments are conventional methods in the art. Unless otherwise specified, the components or equipment in the following embodiments are general standard parts or components known to those skilled in the art, and their structures and principles can be learned by those skilled in the art through technical manuals or conventional experimental methods.

[0033] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings. In this detailed description, numerous specific details are set forth to facilitate explanation and provide a thorough understanding of the embodiments of the present invention. However, one or more embodiments may be practiced by those skilled in the art without these specific details.

[0034] like Figure 1 The method shown is a cooling control method for a laser cutting module of an embroidery machine, which includes the following steps:

[0035] In response to the start-up request signal of the laser cutting module 7, the output signal of the cooling device monitoring port is read;

[0036] If the output signal of the cooling device monitoring port is not 0V, a start response signal is sent to the laser cutting module 7 to start the laser cutting module 7.

[0037] If the output signal of the cooling device monitoring port is 0V, an alarm signal is sent, the start-up request signal of the laser cutting module 7 is rejected, and the laser cutting module 7 is not started.

[0038] Among them, such as Figure 2 As shown, the cooling device includes a cooling water tank 1, a cooling water channel 2, a liquid level sensor 3, a flow meter 4, a first temperature sensor 5, and a second temperature sensor 6. The cooling water tank 1 is connected to the laser cutting module 7 through the cooling water channel 2. The liquid level sensor 3 is located inside the cooling water tank 1, the flow meter 4 is located inside the cooling water channel 2, the first temperature sensor 5 is located at the connection between the cooling water tank 1 and the cooling water channel 2, and the second temperature sensor 6 is located in the laser cutting module 7.

[0039] The output signal of the cooling device monitoring port is obtained by the following method:

[0040] acquire the temperature value of the first temperature sensor 5 and the flow value of the flow meter 4, and acquire the total power consumption of the laser cutting module 7 per unit time, and calculate the theoretical temperature rise of the laser cutting module 7 per unit time;

[0041] acquire the temperature value of the second temperature sensor 6, and calculate the actual temperature rise of the laser cutting module 7 per unit time;

[0042] set an alarm condition, the alarm condition including that the liquid level value of the liquid level sensor 3 is lower than a second set threshold, the flow value of the flow meter 4 is lower than a third set threshold, and the exceeding value of the actual temperature rise of the laser cutting module 7 per unit time relative to the theoretical temperature rise of the laser cutting module 7 per unit time reaches a first set threshold;

[0043] if at least one of the alarm conditions is triggered, the output signal of the cooling device monitoring port is controlled to be a 0V signal.

[0044] wherein, the calculation of the theoretical temperature rise of the laser cutting module 7 per unit time includes:

[0045] establish a neural network model with the temperature value of the first temperature sensor 5, the flow value of the flow meter 4, and the total power consumption of the laser cutting module 7 per unit time as inputs, and the temperature rise of the laser cutting module 7 per unit time as output;

[0046] train the neural network model according to the historical data of the temperature value of the first temperature sensor 5, the flow value of the flow meter 4, the total power consumption of the laser cutting module 7 per unit time, and the actual temperature rise of the laser cutting module 7 per unit time, in the training process, the neural network model performs back propagation, and the parameters of the neural network model are updated constantly, so that the value of the loss function of the neural network model gradually decreases, until the value of the loss function reaches convergence, the last updated parameters are taken as the parameters of the neural network model, and the training is completed, and the trained neural network model is obtained;

[0047] substitute the current temperature value of the first temperature sensor 5, the flow value of the flow meter 4, and the total power consumption of the laser cutting module 7 per unit time into the trained neural network model, and obtain the theoretical temperature rise of the laser cutting module 7 per unit time.

[0048] The above neural network model is a deep neural network model, and the deep neural network model includes four feature extraction modules, specifically, three of the feature extraction modules each include a full connection unit, a linear rectification linear unit, a batch normalization unit, and a partial dropout neuron unit, and one of the feature extraction modules includes a full connection unit, a batch normalization unit, and a partial dropout neuron unit.

[0049] Specifically, the training process of the deep neural network model is: obtaining a training data set, the obtaining process of the training data set is: dividing the historical data of the temperature value of the first temperature sensor 5, the flow value of the flow meter 4, the total power consumption of the laser cutting module 7 per unit time, and the actual temperature rise of the laser cutting module 7 per unit time into a training data set and a validation data set according to a ratio of 7:3, inputting the training data set into the pre-constructed deep neural network model to obtain an output, and determining a corresponding loss function according to the output; constructing a loss function according to the output; updating the full-precision weight parameters of the deep neural network model using the loss function, and taking the deep neural network model after updating the parameters as the trained deep neural network model.

[0050] The cooling control method of the embroidery machine laser cutting module links the output signal of the cooling device monitoring port to the starting requirement of the laser cutting module 7, and the laser cutting module 7 is not started when the cooling device is in an abnormal state, thereby ensuring the stability of the laser cutting effect.

[0051] By comparing the actual temperature rise of the laser cutting module 7 per unit time with the theoretical temperature rise of the laser cutting module 7 per unit time as the alarm condition of the cooling device monitoring port output signal, the hysteresis of the abnormal monitoring of the cooling device is avoided, and the real situation of the cooling state of the laser cutting module 7 is more accurately reflected, thereby effectively prolonging the service life of the laser cutting module 7.

[0052] In this paper, specific examples are applied to explain the principles and implementation modes of the present application. The above examples are only used to help understand the method of the present application and its core idea. It should be noted that for ordinary skilled persons in the technical field, some improvements and modifications can be made without departing from the principles of the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. A cooling control method for a laser cutting module of an embroidery machine, characterized by: The method comprises the following steps: reading the output signal of the cooling device monitoring port in response to the start demand signal of the laser cutting module (7); if the output signal of the cooling device monitoring port is a non-0V signal, sending a start response signal to the laser cutting module (7) to start the laser cutting module (7); if the output signal of the cooling device monitoring port is a 0V signal, sending an alarm signal to reject the start demand signal of the laser cutting module (7) and not starting the laser cutting module (7); the cooling device comprises a cooling water tank (1), a cooling water channel (2), a liquid level sensor (3), a flow meter (4), a first temperature sensor (5) and a second temperature sensor (6), the cooling water tank (1) is connected to the laser cutting module (7) through the cooling water channel (2), the liquid level sensor (3) is arranged in the cooling water tank (1), the flow meter (4) is arranged in the cooling water channel (2), the first temperature sensor (5) is arranged at the connection between the cooling water tank (1) and the cooling water channel (2), and the second temperature sensor (6) is arranged in the laser cutting module (7); the output signal of the cooling device monitoring port is obtained by the following method: obtaining the temperature value of the first temperature sensor (5) and the flow value of the flow meter (4), and obtaining the total power consumption of the laser cutting module (7) per unit time, and calculating the theoretical temperature rise of the laser cutting module (7) per unit time; obtaining the temperature value of the second temperature sensor (6), and calculating the actual temperature rise of the laser cutting module (7) per unit time; setting an alarm condition, the alarm condition comprising that the actual temperature rise of the laser cutting module (7) per unit time exceeds the theoretical temperature rise of the laser cutting module (7) per unit time by a first set threshold value; if the alarm condition is triggered, the output signal of the cooling device monitoring port is controlled to be a 0V signal.

2. The cooling control method of a laser cutting module of an embroidery machine according to claim 1, characterized in that: The alarm condition further comprises that the liquid level value of the liquid level sensor (3) is lower than a second set threshold value and the flow value of the flow meter (4) is lower than a third set threshold value.

3. A cooling control method of a laser cutting module of an embroidery machine according to claim 2, characterized in that: If at least one of the alarm conditions is triggered, the output signal of the cooling device monitoring port is controlled to be a 0V signal.

4. The cooling control method of a laser cutting module of an embroidery machine according to claim 1, characterized in that: The calculation of the theoretical temperature rise of the laser cutting module (7) per unit time comprises: establishing a neural network model with the temperature value of the first temperature sensor (5), the flow value of the flow meter (4) and the total power consumption of the laser cutting module (7) per unit time as inputs and the temperature rise of the laser cutting module (7) per unit time as output; training the neural network model according to the historical data of the temperature value of the first temperature sensor (5), the flow value of the flow meter (4), the total power consumption of the laser cutting module (7) per unit time and the actual temperature rise of the laser cutting module (7) per unit time to obtain a trained neural network model; substituting the current temperature value of the first temperature sensor (5), the flow value of the flow meter (4) and the total power consumption of the laser cutting module (7) per unit time into the trained neural network model to obtain the theoretical temperature rise of the laser cutting module (7) per unit time.

5. A cooling control method of a laser cutting module of an embroidery machine according to claim 4, characterized in that: The neural network model is a deep neural network model, and the deep neural network model comprises four feature extraction modules.

6. A cooling control method of a laser cutting module of an embroidery machine according to claim 5, characterized in that: In the feature extraction modules, three of the feature extraction modules each comprise a full connection unit, a linear rectifier linear unit, a batch normalization unit and a partial dropout neuron unit, and one of the feature extraction modules comprises a full connection unit, a batch normalization unit and a partial dropout neuron unit.

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