Quality-improving efficient intelligent foaming machine and fine control system

Abstract

The invention discloses a quality-improving efficient intelligent foaming machine and a fine control system, and relates to the technical field of material supply control, the system comprises: a material supply 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; the foaming module is used for foaming the mixed material; the data acquisition module is used for acquiring foaming data of the mixed material and transmitting the foaming data to the feeding control module; the feeding control module is used for controlling the feeding flow of the first material or the feeding flow of the second material according to the foaming data; wherein the foaming data comprises foaming time and pore size. By acquiring the foaming time of the mixed material foaming process and the pore size after foaming is finished, the material supply flow is adjusted to adjust the material proportion, and the correct material proportion is beneficial for completing foaming of the mixed material within the error range of the set time, so that high-quality foam is obtained, and the working efficiency of the foaming machine is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of material 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 by a foaming machine are important indicators of its performance, and are usually affected by a variety of factors. The existing method of improving the quality and efficiency of foaming is usually to control the temperature of the foaming process. The appropriate temperature can increase the reaction rate of the mixed materials and thus improve the efficiency of foam formation; there is also a method of controlling the pressure of the foaming process to promote the uniform mixing of the mixed materials and form a more delicate foam. The relevant technology of accurately controlling the temperature and pressure of the foaming process to improve the quality and efficiency of foaming is very mature.

[0003] The existing foaming process is to control a certain temperature and pressure, apply temperature and pressure to the mixed material within a set time, so as to form foam. However, it is easy to miss the material ratio in the mixed material during this process. When the material ratio is too high or too low, the foaming time will be unstable. In this way, foaming within the set time will cause insufficient foaming or excessive foaming. Incorrect material ratio will also cause uneven mixing of the mixed materials, resulting in low foam quality and foaming 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: In a first aspect, the present invention provides a refined control system for a quality-enhanced, efficient, intelligent foaming machine, 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; 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.

[0006] Preferably, 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: From the time when the mixed material enters the foaming module, acquiring the foaming image of the mixed material at fixed time intervals to obtain a foaming image sequence; Preprocessing the foaming image sequence and detecting the foam boundary using edge detection technology; According to the foam boundary, obtaining the area of ​​the foam region; constructing an area time series according to the timestamp of the foaming image sequence and the area of ​​the region; The area time series is analyzed to obtain the foaming time.

[0007] Preferably, the data acquisition module comprises: 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 the aperture detection model to obtain the aperture size.

[0008] 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: Obtain a large number of foaming 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 aperture 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.

[0009] Preferably, the data acquisition module comprises: 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.

[0010] Preferably, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data comprises: 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 a foaming time deviation value and a pore size deviation value; According to the foaming time deviation value and the pore size deviation value, adjusting the feed flow rate of the first material or the feed flow rate of the second material; 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0011] 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 quality-improving, high-efficiency, intelligent foaming machine described above, comprising: 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; Wherein, the foaming data includes foaming time and pore size.

[0012] Preferably, the step of obtaining the foaming data of the mixed material comprises: Acquiring the foaming state of the mixed material and obtaining the foaming time according to the foaming state specifically includes: From the beginning of the foaming of the mixed material, acquiring the foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence; Preprocessing the foaming image sequence and detecting the foam boundary using edge detection technology; According to the foam boundary, obtaining the area of ​​the foam region; constructing an area time series according to the timestamp of the foaming image sequence and the area of ​​the region; Analyze the area time series to obtain the foaming time; Obtaining the foaming result of the mixed material, and obtaining the pore size according to the foaming result, specifically includes: Acquire a result image of the foaming of the mixed material; The result image is input into the aperture detection model to obtain the aperture size.

[0013] Preferably, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data comprises: 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 a foaming time deviation value and a pore size deviation value; According to the foaming time deviation value and the pore size deviation value, adjusting the feed flow rate of the first material or the feed flow rate of the second material; 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0014] In a third aspect, the present invention provides a quality-improving, high-efficiency, intelligent foaming machine, including the above-mentioned refined control system of the quality-improving, high-efficiency, intelligent foaming machine.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains the foaming time of the mixed material during the foaming process and the pore size at the end of the foaming, and adjusts the material feed flow rate to adjust the material ratio. The correct material ratio is conducive to the mixed material completing the foaming within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine. 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; 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 obtaining the pore size and providing a data basis for subsequent material feeding adjustment; The present invention obtains the pore size 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; The present invention obtains the temperature at the time when the mixed material starts to foam, calculates the standard value of the foaming time and the standard value of the pore size, and provides a data basis for subsequent material feeding adjustment; The present invention determines the feeding amount of the material from two factors simultaneously by calculating the foaming time and the standard value of the foaming time and the deviation value of the pore size and the standard value of the pore size, thereby improving the accuracy of adjusting the feeding amount. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 A schematic diagram of the structure of a refined control system for a quality-enhancing, high-efficiency, intelligent foaming machine provided in this embodiment; Figure 2 A schematic flow chart of a refined control method for a quality-enhanced, high-efficiency, intelligent foaming machine provided in this embodiment; Figure 3 A schematic diagram of the process of step S2 provided in this embodiment; Figure 4 A schematic diagram of the process of step S21 provided in this embodiment; Figure 5 A schematic diagram of the process of step S22 provided in this embodiment; Figure 6 A schematic diagram of the process of step S3 provided in this embodiment; Figure 7 A schematic diagram of the structure of an electronic device provided in this embodiment. DETAILED DESCRIPTION

[0019] 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.

[0020] 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 components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0021] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot 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" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] 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, and the correct material ratio is conducive to the mixed material to complete the foaming within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0023] A refined control system for a high-quality and efficient intelligent foaming machine, such as Figure 1 As 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; A feeding module, used for mixing the first material and the second material to obtain a mixed material, and conveying the mixed material to the foaming module for foaming; A foaming module, used for foaming the mixed material; Data acquisition module: used to obtain the foaming data of the mixed material and transmit the foaming data to the feeding control module; A feeding control module, 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; Among them, the foaming data includes foaming time and pore size.

[0024] 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, and the pore size is the average value of the pore diameter in the foam at the end of foaming.

[0025] 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 mixed material completing the foaming within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0026] In some embodiments, Figure 1 As shown, the data acquisition module includes: a foaming time acquisition module; 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: From the time when 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; Preprocess the foaming image sequence and detect the foam boundary using edge detection technology; According to the foam boundary, the area of ​​the foam region is obtained; According to the timestamps and area areas of the foaming image sequence, an area time series is constructed; Analyze the area time series to obtain the foaming time.

[0027] It should be noted that the first foaming image is obtained at the time when the mixed material enters the foaming module, and multiple foaming images are obtained at fixed time intervals thereafter, and the foaming images ensure that the foaming image covers the area where the foam is formed. Preprocessing the foaming image sequence includes graying, binarizing and denoising the foaming image, so that the foaming image is clearer and the foam area is easier to identify. After preprocessing, edge detection technology and contour detection technology are used to identify the foam boundary and foam area in the foaming image respectively, so that the area of ​​the foam area in the foaming image can be obtained. The timestamp of the foaming image and the corresponding area area are obtained to construct a foam area time series that changes with time. Analyze the area time series data to obtain the time point when the area of ​​the region no longer increases, so as to obtain the foaming time. In the foaming process, there is also a situation where the foaming is not complete within the set time. At this time, the area time series can be predicted based on the changes in the existing historical data to predict the time when the foaming is completed.

[0028] In this embodiment, the foaming process is monitored in real time to obtain a foaming image sequence, the foaming image sequence 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.

[0029] In some embodiments, Figure 1 As shown, 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 the result image of the foaming of the mixed material; The resulting image is input into the aperture detection model to obtain the aperture size.

[0030] It should be noted that the result image of the foaming of the mixed material can be used to obtain the corresponding foaming image at the end of the foaming according to the foaming time, or the foaming image at the end of the foaming can be selected to identify the result image to obtain the pore size.

[0031] In this embodiment, the pore size is obtained by identifying the result image of the foaming of the mixed material, thereby improving the efficiency and accuracy of obtaining the pore size and providing a data basis for subsequent material feeding adjustment.

[0032] In some embodiments, before inputting the result image into the aperture detection model to obtain the aperture size, the process further includes: training the aperture detection model, specifically including: Obtain a large number of foaming images to build a training set; The aperture detection model is trained using the training set; The aperture detection module identifies the location of the pores and obtains the pore area, converts the pores into circles with the same area as the pore area and calculates the equivalent diameter, and outputs the average value of the equivalent diameter as the aperture size; The calculation formula of pore size is expressed as: in, is the aperture size, is the equivalent diameter, is the number of pores.

[0033] It should be noted that the shapes of pores shown in the foaming image are not all circular, but also elliptical and other irregular shapes. When calculating the pore size, not all of them can be calculated as circles. The pore detection module identifies the location of the pores and obtains the pore area through training. The pores are equivalent to circles with the same area as the pores and the equivalent diameter is calculated. The average value of the equivalent diameter is output. Since the bubbles in the foam will not have particularly strange shapes, the diameter obtained during the equivalent calculation will not be very different from the actual pore size.

[0034] In this embodiment, the pore size is obtained by calculating the equivalent diameter of the irregular pores, which is helpful to quantify the pore size and provide a data basis for subsequent material feeding adjustment.

[0035] In some embodiments, Figure 1 As shown, the data acquisition module includes: a foaming temperature acquisition module; 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.

[0036] It should be noted that, considering that the foaming temperature may change continuously as the foaming process proceeds, the foaming temperature acquisition module acquires the temperature of the mixed material when it just enters the foaming module and starts foaming. By substituting the foaming temperature into the time-temperature standard curve, the standard value of the foaming time can be obtained; the calculation formula of the pore size can be derived according to the island model, which will not be repeated here. In this embodiment, the time-temperature standard curve is y=-1.66x+77.4. Among them, y is the foaming time, in seconds, and x is the foaming temperature, in degrees Celsius.

[0037] 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 to provide a data basis for subsequent material feeding adjustments.

[0038] 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: The foaming time and the standard value of the foaming time are compared 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0039] It should be noted that the ratio of the first material to the second material affects the foaming time and the pore size, but the foaming time will also change with the change of temperature and pressure during the foaming process, while the pore size is less affected by the above factors. Therefore, the two factors of foaming time and pore size are used to control the feed flow rate of the first material or the feed flow rate of the second material. When the ratio of the first material to the second material is greater than the normal ratio, the foaming time will be faster than the normal time, and the pore size of the obtained 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; on the contrary, when the ratio of the first material to the second material is less than the normal ratio, the foaming time will be longer than the normal time, and the pore size of the obtained 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.

[0040] In this embodiment, by calculating the deviation between the foaming time and the standard value of the foaming time and the pore size and the standard value of the pore size, the material feed amount is determined from two factors at the same time, thereby improving the accuracy of the feed amount adjustment.

[0041] It should be understood that the disclosed system can be implemented in other ways. For example, the system embodiments described above are merely schematic. For example, the division of the above modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, each functional module can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0042] The present invention provides a refined control method for a quality-improving and efficient intelligent foaming machine, which is applied to the refined control system of the quality-improving and efficient intelligent foaming machine mentioned above, such as Figure 2 As shown, the following steps are included: S1, mixing a first material and a second material to obtain a mixed material, and foaming the mixed material; S2, obtaining foaming data of the mixed material; S3, controlling the feed flow rate of the first material or the feed flow rate of the second material according to the foaming data; Among them, the foaming data includes foaming time and pore size.

[0043] 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 mixed material completing the foaming within the error range of the set time, thereby obtaining high-quality foam and improving the working efficiency of the foaming machine.

[0044] In some embodiments, Figure 3 As shown, step S2, obtaining the foaming data of the mixed material, comprises the following steps: S21, obtaining a foaming state of the mixed material, and obtaining a foaming time according to the foaming state; S22, obtaining the foaming result of the mixed material, and obtaining the pore size according to the foaming result.

[0045] In some embodiments, 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: S211, from the beginning of the foaming of the mixed material, acquiring the foaming images of the mixed material at fixed time intervals to obtain a foaming image sequence; S212, preprocessing the foaming image sequence and detecting the foam boundary using edge detection technology; S213, obtaining the area of ​​the foam region according to the foam boundary; S214, constructing an area time series according to the timestamp and area of ​​the foaming image sequence; S215, analyzing the area time series to obtain the foaming time.

[0046] In some embodiments, 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: S221, obtaining a result image of the foaming of the mixed material; S222, input the result image into the aperture detection model to obtain the aperture size.

[0047] In some embodiments, 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: S31, comparing the foaming time and the standard value of the foaming time as well as the pore size and the standard value of the pore size to obtain a foaming time deviation value and a pore size deviation value; 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; 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

[0048] The present invention provides a high-efficiency and intelligent foaming machine with improved quality, including the refined control system of the high-efficiency and intelligent foaming machine with improved quality.

[0049] The present invention provides an electronic device 2, such as Figure 7 As shown, a processor 21 and a memory 22, the memory 22 is used to store computer program codes, the computer program codes include 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 high-efficiency intelligent foaming machine.

[0050] The electronic device 2 includes a processor 21, a memory 22, an output device 23, and an input device 24. The processor 21, the memory 22, the output device 23, and the input device 24 are coupled via a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present invention. It should be understood that in various embodiments of the present invention, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, through various interfaces, transmission lines, buses, etc.

[0051] The processor 21 may be one or more graphics processing units (GPUs). When the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group consisting of multiple GPUs, and the multiple processors are coupled to each other via one or more buses. Optionally, the processor 21 may also be other types of processors, etc., which are not limited in the embodiments of the present invention.

[0052] The memory 22 can be used to store computer program instructions and various computer program codes including program codes for executing the scheme 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 portable read only memory (CD-ROM), and the memory 22 is used for related instructions and data.

[0053] 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.

[0054] 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, high-efficiency, intelligent foaming machine.

[0055] The above are only specific embodiments of the present invention, which enable those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be 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 will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A refined control system for a high-quality and efficient 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.

2. According to claim 1, a refined control system for a high-efficiency and intelligent foaming machine is 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: From the time when the mixed material enters the foaming module, acquiring the foaming image of the mixed material at fixed time intervals to obtain a foaming image sequence; Preprocessing the foaming image sequence and detecting the foam boundary using edge detection technology; According to the foam boundary, obtaining the area of ​​the foam region; constructing an area time series according to the timestamp of the foaming image sequence and the area of ​​the region; The area time series is analyzed to obtain the foaming time.

3. According to claim 1, a refined control system for a high-efficiency and intelligent foaming machine 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 the aperture detection model to obtain the aperture size.

4. According to claim 3, a refined control system for a high-efficiency and intelligent foaming machine is 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 foaming 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 aperture 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. According to claim 1, a refined control system for a high-efficiency and intelligent foaming machine, 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. According to claim 1, a refined control system for a high-efficiency and intelligent foaming machine is 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 comprises: 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 a foaming time deviation value and a pore size deviation value; According to the foaming time deviation value and the pore size deviation value, adjusting the feed flow rate of the first material or the feed flow rate of the second material; 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

7. A refined control method for a quality-improving, high-efficiency, intelligent foaming machine, applied to a refined control system for a quality-improving, high-efficiency, intelligent foaming machine as claimed in any one of claims 1 to 6, 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; Wherein, the foaming data includes foaming time and pore size.

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

9. The refined control method of a quality-enhanced, high-efficiency, intelligent foaming machine according to claim 7, 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 comprises: 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 a foaming time deviation value and a pore size deviation value; According to the foaming time deviation value and the pore size deviation value, adjusting the feed flow rate of the first material or the feed flow rate of the second material; 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 factor, is the foaming time, is the standard value of foaming time, is the aperture adjustment factor, 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 factor, is the standard value of foaming time, is the foaming time, is the aperture adjustment factor, is the aperture size, is the standard value of the aperture size, is the foaming time deviation value, is the aperture size deviation value.

10. A high-efficiency and intelligent foaming machine, characterized in that: It comprises a refined control system for a quality-enhanced, high-efficiency, intelligent foaming machine as described in any one of claims 1 to 6.

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