A high-quality, efficient, intelligent foaming machine and refined control system

Abstract

The present invention discloses a high-quality, efficient, intelligent foaming machine and a refined control system, which relate to the field of feed control technology. The system comprises: a feed module for mixing a first material and a second material to obtain a mixed material, and conveying the mixed material to a foaming module for foaming; a foaming module for foaming the mixed material; a data acquisition module for acquiring foaming data of the mixed material and transmitting the foaming data to a feed control module; a feed control module for controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data; wherein the foaming data includes foaming time and pore size. The present invention adjusts the material feed flow rate to adjust the material ratio by acquiring the foaming time and pore size of the foaming process of the mixed material. The correct material ratio is conducive to the mixed material completing foaming within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

Description

Technical Field

[0001] The present invention relates to the technical field of feeding control, and in particular to a quality-enhanced, high-efficiency, intelligent foaming machine and a refined control system. Background Art

[0002] The quality and efficiency of foaming machines are key performance indicators and are often influenced by a variety of factors. Current methods for improving foaming quality and efficiency typically involve controlling the temperature of the foaming process. A suitable temperature increases the reaction rate of the mixed materials, thereby improving foam formation efficiency. Alternatively, pressure control can be employed to promote uniform mixing of the mixed materials, resulting in a finer foam. The technology for accurately controlling temperature and pressure during the foaming process to improve foaming quality and efficiency is well established.

[0003] The existing foaming process involves controlling temperature and pressure, applying them to a mixture for a set time, to create foam. However, this process can easily overlook the material ratio within the mixture. A high or low material ratio can lead to unstable foaming times, resulting in insufficient or excessive foaming within the set timeframe. Incorrect material ratios can also lead to uneven mixing of the mixture, resulting in low foam quality and efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide a high-quality, efficient, intelligent foaming machine and a refined control system. The present invention obtains the foaming time of the mixed material foaming process and the pore size at the end of foaming, adjusts the material feed flow rate to adjust the material ratio. The correct material ratio is conducive to the completion of foaming of the mixed material within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0005] The purpose of the present invention is achieved by the following technical means:

[0006] In a first aspect, the present invention provides a refined control system for a high-efficiency, intelligent foaming machine having improved quality, comprising a feeding module, a foaming module, a data acquisition module, and a feeding control module; the foaming module and the feeding control module are connected to the feeding module, and the data acquisition module is connected to the foaming module and the feeding control module;

[0007] The feeding module is used to mix the first material and the second material to obtain a mixed material, and transport the mixed material to the foaming module for foaming;

[0008] The foaming module is used to foam the mixed material;

[0009] The data acquisition module is used to acquire the foaming data of the mixed material and transmit the foaming data to the feeding control module;

[0010] The feeding control module is used to control the feeding flow rate of the first material or the feeding flow rate of the second material according to the foaming data;

[0011] The foaming data includes foaming time and pore size.

[0012] Preferably, the data acquisition module includes: a foaming time acquisition module:

[0013] The foaming time acquisition module is used to acquire the foaming state of the mixed material and obtain the foaming time according to the foaming state, specifically including:

[0014] Starting from the time when the mixed material enters the foaming module, acquiring foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence;

[0015] Preprocessing the foaming image sequence and detecting foam boundaries using edge detection technology;

[0016] According to the foam boundary, obtaining the area of ​​the foam region;

[0017] constructing an area time series according to the timestamps of the foaming image sequence and the area of ​​the region;

[0018] The area time series is analyzed to obtain the foaming time.

[0019] Preferably, the data acquisition module includes: an aperture size acquisition module;

[0020] The pore size acquisition module is used to obtain the foaming result of the mixed material and obtain the pore size according to the foaming result, specifically including:

[0021] Acquire a result image of the foaming of the mixed material;

[0022] The result image is input into an aperture detection model to obtain the aperture size.

[0023] Preferably, before inputting the result image into the aperture detection model to obtain the aperture size, the method further includes: training the aperture detection model, specifically including:

[0024] Obtain a large number of foam images to build a training set;

[0025] Training the aperture detection model using the training set;

[0026] The aperture detection module identifies the position of the pore and obtains the pore area, converts the pore into a circle with an area equal to the pore area and calculates the equivalent diameter, and outputs the average value of the equivalent diameter as the pore size;

[0027] The calculation formula of the pore size is expressed as:

[0028]

[0029] in, is the aperture size, is the equivalent diameter, is the number of pores.

[0030] Preferably, the data acquisition module includes: a foaming temperature acquisition module;

[0031] The foaming temperature acquisition module is used to acquire the foaming temperature of the mixed material, and obtain the standard value of the foaming time and the standard value of the pore size according to the foaming temperature.

[0032] Preferably, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data includes:

[0033] Comparing the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value;

[0034] adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value;

[0035] The feed flow adjustment amount of the first material is expressed as:

[0036]

[0037] in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value;

[0038] The feed flow adjustment amount of the second material is expressed as:

[0039]

[0040] in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0041] In a second aspect, the present invention provides a refined control method for a quality-improving, high-efficiency, intelligent foaming machine, which is applied to the refined control system of the above-mentioned quality-improving, high-efficiency, intelligent foaming machine, comprising:

[0042] mixing the first material and the second material to obtain a mixed material, and foaming the mixed material;

[0043] Acquiring foaming data of the mixed material;

[0044] controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data;

[0045] The foaming data includes foaming time and pore size.

[0046] Preferably, the obtaining of the foaming data of the mixed material includes:

[0047] Obtaining the foaming state of the mixed material and obtaining the foaming time according to the foaming state specifically includes:

[0048] From the start of foaming of the mixed material, acquiring foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence;

[0049] Preprocessing the foaming image sequence and detecting foam boundaries using edge detection technology;

[0050] According to the foam boundary, obtaining the area of ​​the foam region;

[0051] constructing an area time series according to the timestamps of the foaming image sequence and the area of ​​the region;

[0052] Analyzing the area time series to obtain the foaming time;

[0053] Obtaining a foaming result of the mixed material, and obtaining the pore size according to the foaming result, specifically comprising:

[0054] Acquire a result image of the foaming of the mixed material;

[0055] The result image is input into an aperture detection model to obtain the aperture size.

[0056] Preferably, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data includes:

[0057] Comparing the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value;

[0058] adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value;

[0059] The feed flow adjustment amount of the first material is expressed as:

[0060]

[0061] in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value;

[0062] The feed flow adjustment amount of the second material is expressed as:

[0063]

[0064] in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0065] In a third aspect, the present invention provides a quality-improving and high-efficiency intelligent foaming machine, including the above-mentioned refined control system of the quality-improving and high-efficiency intelligent foaming machine.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] The present invention obtains the foaming time of the mixed material during the foaming process and the pore size at the end of foaming, and adjusts the material feed flow rate to adjust the material ratio. The correct material ratio is conducive to the completion of foaming of the mixed material within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0068] The present invention monitors the foaming process in real time to obtain a foaming image sequence, processes the foaming image sequence to obtain the area corresponding to the foaming time, and analyzes the area time series data to obtain the foaming time, which is conducive to accurately obtaining the time when the foaming is completed;

[0069] The present invention obtains the pore size by identifying the result image of the foaming of the mixed material, thereby improving the efficiency and accuracy of pore size acquisition and providing a data basis for subsequent material feeding adjustment;

[0070] The present invention calculates the equivalent diameter of irregular pores to obtain the pore size, which is conducive to quantifying the pore size and providing a data basis for subsequent material feeding adjustment;

[0071] The present invention obtains the temperature at the time when the mixed material starts to foam, calculates the standard value of foaming time and the standard value of pore size, and provides a data basis for subsequent material feeding adjustment;

[0072] The present invention calculates the foaming time and the standard value of the foaming time as well as the deviation value between the pore size and the standard value of the pore size, thereby determining the material feeding amount from two factors at the same time and improving the accuracy of the feeding amount adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0074] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0075] Figure 1 A schematic structural diagram of a refined control system for a quality-enhancing, high-efficiency, intelligent foaming machine provided in this embodiment;

[0076] Figure 2 A schematic flow chart of a refined control method for a quality-enhancing, high-efficiency, intelligent foaming machine provided in this embodiment;

[0077] Figure 3A schematic flow chart of step S2 provided in this embodiment;

[0078] Figure 4 A schematic flow chart of step S21 provided in this embodiment;

[0079] Figure 5 A schematic flow chart of step S22 provided in this embodiment;

[0080] Figure 6 A schematic flow chart of step S3 provided in this embodiment;

[0081] Figure 7 This is a schematic structural diagram of an electronic device provided in this embodiment. DETAILED DESCRIPTION

[0082] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0083] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0084] In addition, the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0085] The present invention obtains the foaming time of the mixed material during the foaming process and the pore size at the end of foaming, adjusts the material feed flow rate to adjust the material ratio. The correct material ratio is conducive to the completion of foaming of the mixed material within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0086] A refined control system for high-quality and efficient intelligent foaming machines, such as Figure 1As shown, it includes: a feeding module, a foaming module, a data acquisition module and a feeding control module; the foaming module and the feeding control module are connected to the feeding module, and the data acquisition module is connected to the foaming module and the feeding control module;

[0087] A feeding module, configured to mix a first material and a second material to obtain a mixed material, and to transport the mixed material to a foaming module for foaming;

[0088] A foaming module, used for foaming the mixed material;

[0089] Data acquisition module: used to obtain the foaming data of the mixed material and transmit the foaming data to the feeding control module;

[0090] A feeding control module, configured to control the feeding flow rate of the first material or the feeding flow rate of the second material according to the foaming data;

[0091] The foaming data includes foaming time and pore size.

[0092] It should be noted that the main component of the first material is polyisocyanate, such as diphenylmethane diisocyanate or toluene diisocyanate, and the main component of the second material is polyol, catalyst and foaming agent. The feeding module extracts the first material and the second material from the storage of the first material and the second material respectively, and mixes the first material and the second material evenly to obtain a mixed material for foaming; the foaming module provides a certain temperature and pressure to the mixed material to achieve foaming of the mixed material; the foaming data is parameter data in the foaming process of the mixed material, such as foaming time and pore size. The foaming time is the time from the mixed material entering the foaming module to the start of foaming to the foam size no longer changing. The pore size is the average value of the pore diameter in the foam at the end of foaming.

[0093] In this embodiment, by obtaining the foaming time of the mixed material during the foaming process and the pore size at the end of foaming, the material feed flow rate is adjusted to adjust the material ratio. The correct material ratio is conducive to the completion of foaming of the mixed material within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0094] In some embodiments, as Figure 1 As shown, the data acquisition module includes: a foaming time acquisition module;

[0095] The foaming time acquisition module is used to obtain the foaming state of the mixed material and obtain the foaming time according to the foaming state, specifically including:

[0096] From the time the mixed material enters the foaming module, a foaming image of the mixed material is acquired at fixed time intervals to obtain a foaming image sequence;

[0097] Preprocess the foaming image sequence and use edge detection technology to detect the foam boundary;

[0098] According to the foam boundary, obtain the area of ​​the foam region;

[0099] Constructing an area time series based on the timestamps and area of ​​the bubble image series;

[0100] Analyze the area time series to obtain the foaming time.

[0101] It should be noted that the first foaming image is captured when the mixed material enters the foaming module. Thereafter, multiple foaming images are captured at regular intervals to ensure coverage of the foam forming area. Preprocessing of the foaming image sequence involves grayscaling, binarization, and denoising the foaming images, making them clearer and easier to identify the foam area. After preprocessing, edge detection and contour detection techniques are used to identify the foam boundary and foam area in the foaming image, respectively. This allows the area of ​​the foam area in the foaming image to be determined. The timestamps of the foaming images and the corresponding area areas are then combined to construct a time series of foam area changes over time. By analyzing the area time series data, the time point at which the area no longer increases is determined, thereby determining the foaming time. During the foaming process, foaming may not be completed within the set time. In this case, the area time series can be predicted based on existing historical data to predict the time of foaming completion.

[0102] In this embodiment, the foaming process is monitored in real time to obtain a foaming image sequence, which is processed to obtain the area corresponding to the foaming time, and the area time series data is analyzed to obtain the foaming time, which is conducive to accurately obtaining the time when the foaming is completed.

[0103] In some embodiments, as Figure 1 As shown, the data acquisition module includes: an aperture size acquisition module;

[0104] The pore size acquisition module is used to obtain the foaming results of the mixed material and obtain the pore size based on the foaming results, specifically including:

[0105] Acquire the result image of the foaming of the mixed material;

[0106] The resulting image is input into the aperture detection model to obtain the aperture size.

[0107] It should be noted that the result image of the foaming of the mixed material can be obtained according to the foaming time to obtain the corresponding foaming image at the end of foaming, or the foaming image at the end of foaming can be selected to identify the result image to obtain the pore size.

[0108] In this embodiment, the pore size is obtained by identifying the result image of the foaming of the mixed material, which improves the efficiency and accuracy of pore size acquisition and provides a data basis for subsequent material feeding adjustment.

[0109] In some embodiments, before inputting the result image into the aperture detection model to obtain the aperture size, the method further includes: training the aperture detection model, specifically including:

[0110] Obtain a large number of foam images to build a training set;

[0111] Train the aperture detection model using the training set;

[0112] The aperture detection module identifies the location of the pores and obtains the pore area. The pores are converted into circles with the same area as the pore area and the equivalent diameter is calculated. The average value of the equivalent diameters is output as the aperture size.

[0113] The calculation formula of pore size is expressed as:

[0114]

[0115] in, is the aperture size, is the equivalent diameter, is the number of pores.

[0116] It should be noted that the pore shapes shown in the foaming image are not all circular; some may be elliptical and other irregular shapes. Therefore, not all pore sizes can be calculated as circles. The pore detection module is trained to identify the location of pores and obtain their area. It then equates the pores to circles with the same area as the pores and calculates their equivalent diameters. The average of these equivalent diameters is then output. Since bubbles in foam tend to have relatively unconventional shapes, the diameter obtained during the equivalent calculation will not differ significantly from the actual pore size.

[0117] In this embodiment, the pore size is obtained by calculating the equivalent diameter of the irregular pores, which is conducive to quantifying the pore size and providing a data basis for subsequent material feeding adjustment.

[0118] In some embodiments, as Figure 1 As shown, the data acquisition module includes: a foaming temperature acquisition module;

[0119] The foaming temperature acquisition module is used to obtain the foaming temperature of the mixed material and obtain the standard value of the foaming time and the standard value of the pore size according to the foaming temperature.

[0120] It should be noted that, given that the foaming temperature may vary as the foaming process progresses, the foaming temperature acquisition module obtains the temperature of the mixed material immediately upon entering the foaming module and beginning foaming. Substituting the foaming temperature into the time-temperature calibration curve yields the standard value for the foaming time. The pore size calculation formula can be derived from the island-in-the-sea model and will not be detailed here. In this embodiment, the time-temperature calibration curve is y = -1.66x + 77.4, where y is the foaming time in seconds and x is the foaming temperature in degrees Celsius.

[0121] In this embodiment, by obtaining the temperature at the time when the mixed material starts to foam, the standard value of the foaming time and the standard value of the pore size are calculated, providing a data basis for subsequent material feeding adjustments.

[0122] In some embodiments, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data includes:

[0123] Compare the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain the foaming time deviation value and the pore size deviation value;

[0124] Adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value;

[0125] The feed flow adjustment amount of the first material is expressed as:

[0126]

[0127] in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value;

[0128] The feed flow adjustment amount of the second material is expressed as:

[0129]

[0130] in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0131] It should be noted that the ratio of the first material to the second material affects the foaming time and pore size, but the foaming time will also vary with changes in temperature and pressure during the foaming process, while the pore size is less affected by these factors. Therefore, the feed rate of the first material or the feed rate of the second material is controlled by the two factors of foaming time and pore size. When the ratio of the first material to the second material is greater than the normal ratio, the foaming time will be faster than normal, and the pore size of the resulting foam will be larger. In the next foaming process, it is necessary to reduce the feed amount of the first material or increase the feed amount of the second material. Conversely, when the ratio of the first material to the second material is less than the normal ratio, the foaming time will be longer than normal, and the pore size of the resulting foam will be smaller. In the next foaming process, it is necessary to increase the feed amount of the first material or reduce the feed amount of the second material.

[0132] In this embodiment, by calculating the foaming time and the standard value of the foaming time, and the deviation value between the pore size and the standard value of the pore size, the material feeding amount is determined from two factors at the same time, thereby improving the accuracy of the feeding amount adjustment.

[0133] It should be understood that the disclosed system can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the above modules is merely a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, each functional module may be integrated into a processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0134] The present invention provides a refined control method for a high-efficiency and intelligent foaming machine, which is applied to the refined control system of the above-mentioned high-efficiency and intelligent foaming machine, such as Figure 2 As shown, the following steps are included:

[0135] S1, mixing a first material and a second material to obtain a mixed material, and foaming the mixed material;

[0136] S2, obtaining foaming data of the mixed material;

[0137] S3, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data;

[0138] The foaming data includes foaming time and pore size.

[0139] In this embodiment, by obtaining the foaming time of the mixed material during the foaming process and the pore size at the end of foaming, the material feed flow rate is adjusted to adjust the material ratio. The correct material ratio is conducive to the completion of foaming of the mixed material within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0140] In some embodiments, as Figure 3 As shown, step S2, obtaining foaming data of the mixed material, includes the following steps:

[0141] S21, obtaining the foaming state of the mixed material and obtaining the foaming time according to the foaming state;

[0142] S22, obtaining a foaming result of the mixed material, and obtaining a pore size according to the foaming result.

[0143] In some embodiments, as Figure 4 As shown, step S21, obtaining the foaming state of the mixture material and obtaining the foaming time according to the foaming state, specifically includes the following steps:

[0144] S211, from the start of foaming of the mixed material, acquiring foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence;

[0145] S212, pre-processing the foaming image sequence and detecting the foam boundary using edge detection technology;

[0146] S213, obtaining the area of ​​the foam region according to the foam boundary;

[0147] S214, constructing an area time series according to the timestamps and area of ​​the bubble image sequence;

[0148] S215, analyzing the area time series to obtain the foaming time.

[0149] In some embodiments, as Figure 5 As shown, step S22, obtaining the foaming result of the mixed material and obtaining the pore size according to the foaming result, specifically includes the following steps:

[0150] S221, obtaining a result image of the foaming of the mixed material;

[0151] S222: Input the result image into the aperture detection model to obtain the aperture size.

[0152] In some embodiments, as Figure 6 As shown, step S3, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data, includes the following steps:

[0153] S31, comparing the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value;

[0154] S32, adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value;

[0155] The feed flow adjustment amount of the first material is expressed as:

[0156]

[0157] in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value;

[0158] The feed flow adjustment amount of the second material is expressed as:

[0159]

[0160] in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0161] The present invention provides a high-quality, high-efficiency, intelligent foaming machine, including the refined control system of the high-quality, high-efficiency, intelligent foaming machine described above.

[0162] The present invention provides an electronic device 2, such as Figure 7As shown, the processor 21 and the memory 22, the memory 22 is used to store computer program code, the computer program code includes computer instructions, when the processor 21 executes the computer instructions, the electronic device executes the above-mentioned refined control method of the quality-improving and efficient intelligent foaming machine.

[0163] The electronic device 2 includes a processor 21, a memory 22, an output device 23, and an input device 24. The processor 21, memory 22, output device 23, and input device 24 are coupled via a connector, which may include various interfaces, transmission lines, or buses, etc., although this is not limited in the present embodiment. It should be understood that in various embodiments of the present invention, coupling refers to interconnection in a specific manner, including direct connection or indirect connection through other devices, such as various interfaces, transmission lines, buses, etc.

[0164] The processor 21 may be one or more graphics processing units (GPUs). If the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Alternatively, the processor 21 may be a processor group consisting of multiple GPUs, with the multiple processors coupled to each other via one or more buses. Alternatively, the processor 21 may be other types of processors, and the embodiments of the present invention are not limited thereto.

[0165] The memory 22 can be used to store computer program instructions and various computer program codes, including program codes for executing the solutions of the present invention. Optionally, the memory 22 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or compact disc read-only memory (CD-ROM). The memory 22 is used for related instructions and data.

[0166] The input device 24 is used to input data and / or signals, and the output device 23 is used to output data and / or signals. The output device 23 and the input device 24 can be independent devices or an integrated device.

[0167] The present invention provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the above-mentioned refined control method for a quality-improving and efficient intelligent foaming machine.

[0168] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those 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 is not intended to be limited to the embodiments shown herein, but is intended to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A refined control system for a high-efficiency and intelligent foaming machine, characterized in that: include: A feeding module, a foaming module, a data acquisition module and a feeding control module; the foaming module and the feeding control module are connected to the feeding module, and the data acquisition module is connected to the foaming module and the feeding control module; The feeding module is used to mix the first material and the second material to obtain a mixed material, and transport the mixed material to the foaming module for foaming; The foaming module is used to foam the mixed material; The data acquisition module is used to acquire the foaming data of the mixed material and transmit the foaming data to the feeding control module; The feeding control module is used to control the feeding flow rate of the first material or the feeding flow rate of the second material according to the foaming data; Wherein, the foaming data includes foaming time and pore size; Wherein, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data includes: Comparing the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value; adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value; The feed flow adjustment amount of the first material is expressed as: ； in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value; The feed flow adjustment amount of the second material is expressed as: ； in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

2. A refined control system for a high-efficiency and intelligent foaming machine according to claim 1, characterized in that: The data acquisition module includes: a foaming time acquisition module: The foaming time acquisition module is used to acquire the foaming state of the mixed material and obtain the foaming time according to the foaming state, specifically including: Starting from the time when the mixed material enters the foaming module, acquiring foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence; Preprocessing the foaming image sequence and detecting foam boundaries using edge detection technology; According to the foam boundary, obtaining the area of ​​the foam region; constructing an area time series according to the timestamps of the foaming image sequence and the area of ​​the region; The area time series is analyzed to obtain the foaming time.

3. The refined control system of a high-efficiency and intelligent foaming machine according to claim 1 is characterized in that: The data acquisition module includes: an aperture size acquisition module; The pore size acquisition module is used to obtain the foaming result of the mixed material and obtain the pore size according to the foaming result, specifically including: Acquire a result image of the foaming of the mixed material; The result image is input into an aperture detection model to obtain the aperture size.

4. A refined control system for a high-efficiency and intelligent foaming machine according to claim 3, characterized in that: Before inputting the result image into the aperture detection model to obtain the aperture size, the method further includes: training the aperture detection model, specifically including: Obtain a large number of foam images to build a training set; Training the aperture detection model using the training set; The aperture detection module identifies the position of the pore and obtains the pore area, converts the pore into a circle with an area equal to the pore area and calculates the equivalent diameter, and outputs the average value of the equivalent diameter as the pore size; The calculation formula of the pore size is expressed as: ； in, is the aperture size, is the equivalent diameter, is the number of pores.

5. The refined control system of a high-efficiency and intelligent foaming machine according to claim 1 is characterized in that: The data acquisition module includes: a foaming temperature acquisition module; The foaming temperature acquisition module is used to acquire the foaming temperature of the mixed material, and obtain the standard value of the foaming time and the standard value of the pore size according to the foaming temperature.

6. A refined control method for a high-efficiency, intelligent foaming machine, applied to a refined control system for a high-efficiency, intelligent foaming machine according to any one of claims 1 to 5, characterized in that: include: mixing the first material and the second material to obtain a mixed material, and foaming the mixed material; Acquiring foaming data of the mixed material; controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data; The foaming data includes foaming time and pore size.

7. The refined control method of a high-efficiency and intelligent foaming machine according to claim 6 is characterized in that: The step of obtaining the foaming data of the mixed material comprises: Obtaining the foaming state of the mixed material and obtaining the foaming time according to the foaming state specifically includes: From the start of foaming of the mixed material, acquiring foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence; Preprocessing the foaming image sequence and detecting foam boundaries using edge detection technology; According to the foam boundary, obtaining the area of ​​the foam region; constructing an area time series according to the timestamps of the foaming image sequence and the area of ​​the region; Analyzing the area time series to obtain the foaming time; Obtaining a foaming result of the mixed material, and obtaining the pore size according to the foaming result, specifically comprising: Acquire a result image of the foaming of the mixed material; The result image is input into an aperture detection model to obtain the aperture size.

8. The refined control method for a high-efficiency and intelligent foaming machine according to claim 6, characterized in that: The controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data includes: Comparing the foaming time and the standard value of the foaming time with the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value; adjusting the feed flow rate of the first material or the feed flow rate of the second material according to the foaming time deviation value and the pore size deviation value; The feed flow adjustment amount of the first material is expressed as: ； in, is the feed flow adjustment amount of the first material, is the time adjustment coefficient, is the foaming time, is the standard value of foaming time, is the aperture adjustment coefficient, is the standard value of the aperture size, is the aperture size, is the foaming time deviation value, is the aperture size deviation value; The feed flow adjustment amount of the second material is expressed as: ； in, is the feed flow adjustment amount of the second material, is the time adjustment coefficient, is the standard value of foaming time, is the foaming time, is the aperture adjustment coefficient, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

9. A high-efficiency and intelligent foaming machine, characterized in that: It comprises a refined control system for a quality-enhancing, high-efficiency, intelligent foaming machine as described in any one of claims 1 to 5.

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