CN114943701A - Intelligent control system for granulation equipment of heat-shrinkable tube - Google Patents
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Abstract
The invention discloses an intelligent control system for granulation equipment of a heat-shrinkable tube, and relates to the field of artificial intelligence. The method mainly comprises the following steps: the image acquisition device is used for acquiring a surface gray level image after granulation is finished; image processing means for obtaining respective particles in the surface gradation image; the particle classification module is used for classifying the particles into first particles, second particles and third particles according to the particle sizes; the rotating speed optimization adjusting module is used for determining the adjusted rotating speed; the load capacity optimizing and adjusting module is used for determining to increase or decrease the load capacity in the roller and determining the increased or decreased load capacity; and the iteration module is used for iterating until the change of the load amount before and after the load amount is adjusted is smaller than or equal to a preset first threshold value, stopping iteration and granulating at the current rotating speed and the current load amount. The embodiment of the invention can intelligently control the granulation equipment of the heat-shrinkable tube, thereby reducing the time consumption of the granulation process.
Description
Technical Field
The application relates to the field of artificial intelligence, in particular to an intelligent control system for granulation equipment of a heat-shrinkable tube.
Background
The heat shrinkable tube is a special polyolefin heat shrinkable sleeve and has the functions of high-temperature shrinkage, softness, flame retardance, insulation and corrosion prevention. The insulating material is widely applied to insulation protection of various wire harnesses, welding spots and inductors, rust prevention and corrosion prevention of metal pipes and bars and the like. The production of the heat shrinkable tube comprises the processes of granulation, extrusion, irradiation, expansion and the like, wherein the granulation is the first process in the production process of the heat shrinkable tube, different production raw materials can be mixed according to a preset proportion in the granulation process, and particles required for producing the heat shrinkable tube are obtained through the granulation process.
One of the commonly used granulation methods in the production process of the heat shrinkable tube is an extrusion rounding granulation method, and the extrusion rounding granulation method can comprise the following steps: the wet mass medicine is extruded into strips through a sieve plate, and the strips are cut into rod-shaped granules, so that the rod-shaped granules roll into spherical particles in a centrifugal disc with a certain speed. However, in the extrusion spheronization process, the quality or quantity of the rod-shaped granules added to the centrifugal pan is not proper, or the speed of the centrifugal pan is not matched, so that the granulation process required to obtain satisfactory granules takes a long time.
Therefore, a system for intelligently controlling a granulation apparatus of a heat shrinkable tube is needed, so that a centrifugal disc performs centrifugal mixing on a rod-shaped small particle with a proper amount of carrier at a proper speed in a granulation process, thereby reducing the time consumption of the granulation process while ensuring the granulation effect.
Disclosure of Invention
In view of the above technical problems, an embodiment of the present invention provides an intelligent control system for a granulation apparatus of a heat-shrinkable tube, which can intelligently control the granulation apparatus of the heat-shrinkable tube, so that a centrifugal disk performs centrifugal mixing on rod-shaped small particles with a suitable carrier amount at a suitable speed in a granulation process, thereby reducing time consumption in the granulation process while ensuring a granulation effect.
The embodiment of the invention provides an intelligent control system for granulation equipment of a heat-shrinkable tube, which comprises the following components:
and the image acquisition device is used for acquiring the surface gray level image after granulation is finished at the current rotating speed and the current load amount.
And the image processing device is used for preprocessing the surface gray level image to respectively obtain each particle in the surface gray level image.
The particle classification module is used for classifying the particles in the surface gray level image into a first type of particles, a second type of particles and a third type of particles according to the particle size, and taking the proportion of the third type of particles as the particle yield; the first type of particles are particles with a particle size smaller than or equal to a preset first particle size, the second type of particles are particles with a particle size larger than or equal to a preset second particle size, and the third type of particles are particles with a particle size larger than the preset first particle size and smaller than the preset second particle size.
And the rotating speed optimization adjusting module is used for determining the adjusted rotating speed according to the particle obtaining rate, the current rotating speed, the number of the first type of particles and the number of the second type of particles.
And the carrier quantity optimizing and adjusting module is used for determining the quantity of the carrier quantity in the roller to be increased or decreased according to whether the second type of particles have particles with the particle size larger than the preset third particle size or not, and determining the quantity of the carrier quantity to be increased or decreased according to the current particle obtaining rate and the current carrier quantity so as to determine the adjusted carrier quantity.
The iteration module is used for iterating until the change of the load amount before and after the load amount is adjusted is smaller than or equal to a preset first threshold value, stopping iteration and granulating at the current rotating speed and the current load amount; the iteration comprises the following steps: and sequentially calling the image acquisition device, the image processing module, the particle classification module, the rotating speed optimization and adjustment module and the load optimization and adjustment module.
Further, in an intelligent control system for a granulation device of a heat-shrinkable tube, the rotation speed optimized adjustment module determines the adjusted rotation speed according to the particle obtaining rate, the current rotation speed, the number of the first type of particles and the number of the second type of particles, and the method comprises the following steps:
wherein n' is the adjusted rotation speed, n is the current rotation speed, A is the number of the first type of particles, B is the number of the second type of particles, sign () is a sign function,
presetting a first parameter, P is the grain yield,
in order to preset the second parameter, the first parameter is set,
a first step size is preset.
The intelligent control system for the pelletizing equipment of the heat-shrinkable tube according to claim 1, wherein in the carrier quantity optimization and adjustment module, the amount of increasing or decreasing the carrier quantity is determined according to the current pelletizing rate and the current carrier quantity to determine the adjusted carrier quantity, and the method comprises the following steps:
Further, in an intelligent control system for a granulation device of a heat-shrinkable tube, the rotation speed optimization and adjustment module is further configured to determine whether to adjust the current rotation speed according to the particle yield, the number of the first type of particles, and the number of the second type of particles, and includes:
wherein
Indicating the necessity of making an adjustment to the current rotational speed,
is the number of the first type of particles,
is the amount of the second type of particles,
in order to preset the fifth parameter, the first parameter is set,
is preset with a sixth parameter, and
。
in that
And if the rotating speed is larger than or equal to the preset second threshold, the rotating speed needs to be adjusted, otherwise, the rotating speed does not need to be adjusted.
Further, in an intelligent control system of a granulation apparatus for a heat shrinkable tube, an image processing device preprocesses a surface grayscale image to obtain each particle in the surface grayscale image, comprising:
performing image segmentation on the surface gray level image to enable the pixel value of a pixel point outside particles in an image segmentation result to be 0;
and performing morphological opening operation on the image segmentation result.
And taking each closed connected domain in the open operation result as each particle.
Further, in the intelligent control system for the granulating equipment of the heat-shrinkable tube, the DNN is used for carrying out image segmentation on the surface gray scale image.
Further, in an intelligent control system for a granulation device of a heat-shrinkable tube, before preprocessing a surface grayscale image in an image processing apparatus to obtain each particle existing in the surface grayscale image, the method further includes: and carrying out median filtering denoising on the surface gray level image.
Compared with the prior art, the embodiment of the invention provides an intelligent control system for granulation equipment of a heat-shrinkable tube, which has the beneficial effects that: can carry out intelligent control to the granulation equipment of heat-shrinkable tube for the centrifugation dish carries out the centrifugation with suitable speed to the bar-shaped granule of suitable carrier volume and mixes among the granulation process, thereby reduces the consuming time of granulation process under the condition of guaranteeing the granulation effect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an intelligent control system of a pelletizing device for heat-shrinkable tubes, provided by an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature; in the description of the present embodiment, "a plurality" means two or more unless otherwise specified.
The heat shrinkable tube is a special polyolefin heat shrinkable sleeve and has the functions of high-temperature shrinkage, softness, flame retardance, insulation and corrosion prevention. The insulating material is widely applied to insulation protection of various wire harnesses, welding spots and inductors, rust prevention and corrosion prevention of metal pipes and bars and the like. The production of the heat shrinkable tube comprises the processes of granulation, extrusion, irradiation, expansion and the like, wherein the granulation is the first process in the production process of the heat shrinkable tube, different production raw materials can be mixed according to a preset proportion in the granulation process, and particles required for producing the heat shrinkable tube are obtained through the granulation process.
One of the commonly used granulation methods in the production process of the heat shrinkable tube is an extrusion rounding granulation method, and the extrusion rounding granulation method can comprise the following steps: the wet-mass medicine is extruded into strips through a sieve plate, and the strips are cut into rod-shaped granules, so that the rod-shaped granules roll into spherical particles in a centrifugal disc with a certain speed.
It should be noted that the granulation process can be generally divided into three different stages, namely, wetting nucleation growth collision and crushing abrasion. The wetting nucleation stage is an initial stage of coating nucleation by the powder after the liquid drops are dispersed to the powder; the growth collision phase is a process of gradually aggregating the small particles subjected to primary nucleation in the stirring process; the crushing and wearing phase is the phase of crushing when the particles grow to be too large or dry.
Specifically, during granulation, the granules continuously collide with other granules and walls, the volume and porosity of the granules are reduced by the collision of extrusion, the air inside is pressed out, and the liquid binder is extruded to the surfaces of the granules. During the growth process, the particles have two phenomena of compression and expansion, and finally, the thermodynamic equilibrium of expansion tendency and aggregation tendency is generated under the mutual impact, so that the final shape of the particles is formed.
However, in the extrusion spheronization process, the quality or quantity of the added rod-shaped granules added to the centrifugal pan is not proper, or the speed of the centrifugal pan is not matched, so that the granulation process required to obtain satisfactory granules takes a long time.
Therefore, the granulation equipment of the heat-shrinkable tube needs to be intelligently controlled, so that the centrifugal disc performs centrifugal mixing on the rod-shaped small granules with proper carrier quantity at a proper speed in the granulation process, and the efficiency of the granulation process is improved under the condition of ensuring the granulation effect.
The embodiment of the invention provides an intelligent control system for a granulation device of a heat-shrinkable tube, which comprises the following components as shown in figure 1:
and the image acquisition device is used for acquiring the surface gray level image after granulation is finished at the current rotating speed and the current load amount.
And the image processing device is used for preprocessing the surface gray level image to respectively obtain each particle in the surface gray level image.
The particle classification module is used for classifying the particles in the surface gray image into a first class of particles, a second class of particles and a third class of particles according to particle sizes, and taking the proportion of the third class of particles as a particle yield, wherein the first class of particles are particles with the particle size smaller than or equal to a preset first particle size, the second class of particles are particles with the particle size larger than or equal to a preset second particle size, and the third class of particles are particles with the particle size larger than the preset first particle size and smaller than the preset second particle size.
And the rotating speed optimization adjusting module is used for determining the adjusted rotating speed according to the particle obtaining rate, the current rotating speed, the number of the first type of particles and the number of the second type of particles.
And the carrier quantity optimizing and adjusting module is used for determining the quantity of the carrier quantity in the roller to be increased or decreased according to whether the second type of particles have particles with the particle size larger than the preset third particle size or not, and determining the quantity of the carrier quantity to be increased or decreased according to the current particle obtaining rate and the current carrier quantity so as to determine the adjusted carrier quantity.
The iteration module is used for iterating until the change of the load amount before and after the load amount is adjusted is smaller than or equal to a preset first threshold value, stopping iteration and granulating at the current rotating speed and the current load amount; the iteration comprises the following steps: the image acquisition device, the image processing module, the particle classification module, the rotating speed optimization and adjustment module and the load amount optimization and adjustment module are sequentially called.
The embodiment of the invention aims at the following situations: in the production process of granulation, the master batch is mixed and extruded into strips by a mixing device, then the strips are cut into small rod-shaped particles, and finally the small rod-shaped particles are rolled into spherical round particles by a centrifugal disc. The particle size and the particle size distribution of the particles are obtained through a computer vision technology, and the speed of a centrifugal disc and the amount of a carrier in the centrifugal disc in the granulation process are intelligently controlled according to the particle size distribution so as to improve the efficiency of the granulation process.
Further, the image acquisition device is used for acquiring the surface gray level image after granulation is finished at the current rotating speed and the current load amount.
An image acquisition device can be used at the outlet of a granulation finished product to shoot a surface image after granulation is finished, and the surface image is converted into a surface gray image, wherein the surface gray image is an image obtained by graying the surface image.
Further, the image processing device is used for preprocessing the surface gray level image to respectively obtain each particle in the surface gray level image.
The pre-processing process may include: performing image segmentation on the surface gray level image to enable the pixel value of a pixel point outside the particles in the image segmentation result to be 0; performing morphological opening operation on the image segmentation result; and finally, taking each closed connected domain in the open operation result as each particle.
Image segmentation is a technique and process that divides an image into several specific regions with unique properties and proposes an object of interest. It is a key step from image processing to image analysis. The existing image segmentation methods mainly include the following categories: a threshold-based segmentation method, a region-based segmentation method, an edge-based segmentation method, a particular theory-based segmentation method, and the like. From a mathematical point of view, image segmentation is the process of dividing a digital image into mutually disjoint regions. The process of image segmentation is also a labeling process, i.e. pixels belonging to the same region are assigned the same number.
As an example, in the embodiment of the present invention, DNN (Deep Neural Networks) is used for image segmentation. Specifically, the relevant contents of the DNN network are as follows: the data set used is the image set containing the finished granulation; the pixels needing to be segmented are divided into 2 types, namely the labeling process of the corresponding labels of the training set is as follows: the semantic label of the single channel, the corresponding position pixel belongs to the background class and is marked as 0, and the corresponding position pixel belongs to the particle and is marked as 1; since the task of the network is classification, the loss function used is a cross-entropy loss function.
It should be noted that the opening operation is a method in image processing, which is used to eliminate small objects, objects separated at fine points, and smooth the boundary of a large object without significantly changing its area.
Optionally, before the surface grayscale image is preprocessed to obtain each particle existing in the surface grayscale image, median filtering and denoising may be performed on the surface grayscale image. Thus, noise that may exist in the surface gradation image can be effectively removed.
Image denoising refers to a process of reducing noise caused in an image. In reality, images are influenced by various factors and contain certain noise, and the noise mainly comprises: salt and pepper noise, additive noise, multiplicative noise, and gaussian noise.
There are many algorithms for image denoising, including those based on partial differential thermal conduction equation and those based on filtering, where the filtering is widely used because of its fast speed and mature algorithm, and the commonly used filtering denoising algorithms include: median filtering, mean filtering, and gaussian filtering.
The median filter is a common nonlinear smoothing filter, the basic principle is that the value of one point in a digital image or a digital sequence is replaced by the median of each point value in the field of the point, and the main function is to change the pixel with larger difference of the gray values of the surrounding pixels into a value close to the value of the surrounding pixels, so that an isolated noise point can be eliminated, and the median filter is very effective for filtering the salt and pepper noise of the image.
Further, the particle classification module is used for classifying the particles in the surface gray image into a first type of particles, a second type of particles and a third type of particles according to the particle size, and taking the proportion of the third type of particles as the particle size.
In the embodiment of the present invention, the first type of particles are particles having a particle size smaller than or equal to a predetermined first particle size, the second type of particles are particles having a particle size larger than or equal to a predetermined second particle size, and the third type of particles are particles having a particle size larger than the predetermined first particle size and smaller than the predetermined second particle size. Specifically, the preset first particle size and the preset second particle size in the embodiment of the present invention can be determined according to the actually required particle size range of the implementer.
And further, the rotating speed optimization adjusting module is used for determining the adjusted rotating speed according to the particle obtaining rate, the current rotating speed, the number of the first type of particles and the number of the second type of particles.
Specifically, the obtaining process of the adjusted rotation speed may include:
When in use
When it is greater than 0, it meansThe number of the second type particles obtained after granulation is larger than that of the first type particles, so that the rotating speed can be increased, and a larger particle obtaining rate can be obtained; instead, the rotational speed may be reduced.
Optionally, whether to adjust the current rotation speed may be determined according to the particle yield, the number of the first type of particles, and the number of the second type of particles.
In particular, the method comprises the following steps of,
wherein F represents the necessity of adjusting the current rotating speed, A is the number of the first type of particles, B is the number of the second type of particles, alpha is a preset fifth parameter, beta is a preset sixth parameter, and
。
and when F is larger than or equal to the preset second threshold value, the rotating speed needs to be adjusted, otherwise, the rotating speed does not need to be adjusted. The preset second threshold value can be determined according to the actual requirement of an implementer. Therefore, the rotating speed adjusting process can be more accurate by judging whether the rotating speed needs to be adjusted or not.
Further, the load capacity optimization and adjustment module is configured to determine, according to whether particles with a particle size larger than a preset third particle size exist in the second type of particles, to increase or decrease the load capacity in the drum, and determine, according to the current particle rate and the current load capacity, an amount of increase or decrease of the load capacity to determine the adjusted load capacity.
In the rounding device, when the number of the particles is too small, the interaction among the particles is reduced, the forming of the particles is not enough, and the particle yield of the particles obtained after the granulation is not high; on the contrary, when the number of particles is too large, the rolling speed of the particles on the rolling disk becomes small, the molding of the particles becomes insufficient, and the particle yield of the particles obtained after the completion of granulation is also low. However, when the number of particles to be granulated at the same time is too large in the granulation process, the contact area between the particles increases, the adhesive force between the particles increases, and the particles aggregate to form a cluster.
When the number of particles of the rounding device is gradually increased, the particle rate is increased, then tends to be stable for a period of time, and finally is decreased. Therefore, in the granulation production, it is necessary to maximize the amount of the carrier of the spheronization device on the basis of ensuring the granulation rate, thereby improving the production efficiency.
When the amount of the carrier is too large, the particles are aggregated to form a cluster, and in the surface tone image including the particles, the surface area of the image of the particles aggregated to the cluster or the particle diameter of the particles is increased, so that whether or not the cluster is formed can be determined from the particle diameter of the particles or the surface area thereof on the surface tone image.
Meanwhile, according to whether particles with the particle size larger than a preset third particle size exist in the second type of particles, the amount of the load in the roller is determined to be increased or decreased, and according to the current particle rate and the current load amount, the amount of the load to be increased or decreased is determined so as to determine the adjusted load amount, and the method comprises the following steps:
wherein, in the step (A),
in order to adjust the amount of the carrier after adjustment,
as the amount of the present carrier is,
the number of the particles with the particle diameter larger than the preset third particle diameter in the second type of particles,
in order to preset the second step size,
in order to preset the third parameter, the first parameter is set,
to preset the fourth parameterThe number of the first and second groups is,
to obtain the particle fraction.
Further, the iteration module is used for iterating until the change of the load amount before and after the load amount is adjusted is smaller than or equal to a preset first threshold value, stopping iteration and granulating at the current rotating speed and the current load amount.
It should be noted that, in the embodiment of the present invention, the iterative process may include: the image acquisition device, the image processing module, the particle classification module, the rotating speed optimization and adjustment module and the load amount optimization and adjustment module are sequentially called.
Since both the rotation speed and the carrier amount have an influence on the granulation effect, the influence of the carrier amount is not determined when the adjusted rotation speed is obtained, and the rotation speed needs to be further adjusted on the basis of the currently obtained adjusted carrier amount, and iteration is performed to enable the rotation speed and the carrier amount to reach the optimum rotation speed and carrier amount in the granulation process.
It should be noted that, in the embodiment of the present invention, the adjustment of the rotation speed and the carrier amount is performed after a complete granulation process is performed, that is, after granulation is performed at the current rotation speed and the carrier amount, next granulation is performed at the adjusted rotation speed and the adjusted carrier amount, and after the rotation speed and the carrier amount at which the granulation process can be optimized are determined, the subsequent granulation processes are performed at the rotation speed and the carrier amount.
In summary, the embodiment of the present invention provides an intelligent control system for a granulation apparatus of a heat-shrinkable tube, which can intelligently control the granulation apparatus of the heat-shrinkable tube, so that a centrifugal disc performs centrifugal mixing on rod-shaped granules with a suitable amount of carriers at a suitable speed in a granulation process, thereby reducing time consumption in the granulation process under the condition of ensuring a granulation effect.
The use of words such as "including," "comprising," "having," and the like, in the present invention is an open-ended word that refers to "including, but not limited to," and that may be used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that the various components or steps may be broken down and/or re-combined in the methods and systems of the present invention. Such decomposition and/or recombination should be considered as equivalents of the present disclosure.
The above-mentioned embodiments are merely examples for clearly illustrating the present invention and do not limit the scope of the present invention. It will be apparent to those skilled in the art that other variations and modifications may be made in the foregoing description, and it is not necessary or necessary to exhaustively enumerate all embodiments herein. All designs identical or similar to the present invention are within the scope of the present invention.
Claims (7)
1. A granulation equipment intelligence control system for heat shrinkable tube characterized by comprising:
the image acquisition device is used for acquiring a surface gray image after granulation is finished at the current rotating speed and the current load amount;
the image processing device is used for preprocessing the surface gray level image to respectively obtain each particle in the surface gray level image;
the particle classification module is used for classifying the particles in the surface gray level image into a first type of particles, a second type of particles and a third type of particles according to the particle size, and taking the proportion of the third type of particles as the particle yield; the first type of particles are particles with a particle size smaller than or equal to a preset first particle size, the second type of particles are particles with a particle size larger than or equal to a preset second particle size, and the third type of particles are particles with a particle size larger than the preset first particle size and smaller than the preset second particle size;
the rotating speed optimization adjusting module is used for determining the adjusted rotating speed according to the grain obtaining rate, the current rotating speed, the number of the first type of particles and the number of the second type of particles;
the carrier quantity optimizing and adjusting module is used for determining the quantity of the carrier quantity in the roller to be increased or decreased according to whether the second type of particles have particles with the particle size larger than a preset third particle size or not, and determining the quantity of the carrier quantity to be increased or decreased according to the current particle rate and the current carrier quantity so as to determine the regulated carrier quantity;
the iteration module is used for iterating until the change of the load amount before and after the load amount is adjusted is smaller than or equal to a preset first threshold value, stopping iteration and granulating at the current rotating speed and the current load amount; the iteration comprises the following steps: and sequentially calling the image acquisition device, the image processing module, the particle classification module, the rotating speed optimization and adjustment module and the load optimization and adjustment module.
2. The intelligent control system for the granulation equipment used for the heat shrinkable tube as claimed in claim 1, wherein in the rotation speed optimization and adjustment module, the adjusted rotation speed is determined according to the particle yield, the current rotation speed, the number of the first type of particles and the number of the second type of particles, and comprises:
wherein n' is the adjusted rotation speed, n is the current rotation speed, A is the number of the first type of particles, B is the number of the second type of particles, sign () is a sign function,
presetting a first parameter, P is the grain yield,
in order to pre-set the second parameter,
a first step size is preset.
3. The intelligent control system for the pelletizing equipment of the heat-shrinkable tube according to claim 1, wherein in the carrier quantity optimization and adjustment module, the amount of increasing or decreasing the carrier quantity is determined according to the current pelletizing rate and the current carrier quantity to determine the adjusted carrier quantity, and the method comprises the following steps:
4. The intelligent control system for the granulation equipment used for the heat shrinkable tube as claimed in claim 1, wherein the rotation speed optimization and adjustment module is further used for determining whether to adjust the current rotation speed according to the particle yield, the number of the first type of particles and the number of the second type of particles, and comprises:
wherein
Indicating the necessity of an adjustment of the current rotational speed,
is the number of the first type of particles,
is the amount of the second type of particles,
in order to preset the fifth parameter, the first parameter is set,
is preset with a sixth parameter, and
；
in that
And if the rotating speed is larger than or equal to the preset second threshold, the rotating speed needs to be adjusted, otherwise, the rotating speed does not need to be adjusted.
5. The intelligent control system of the granulation equipment for the heat shrinkable tube according to claim 1, wherein the image processing device pre-processes the surface gray scale image to obtain each particle in the surface gray scale image, and comprises:
performing image segmentation on the surface gray level image to enable the pixel value of a pixel point outside the particles in the image segmentation result to be 0;
performing morphological opening operation on the image segmentation result;
and taking each closed connected domain in the open operation result as each particle.
6. The intelligent control system for the pelletizing equipment for the heat shrinkable tubes according to claim 5, characterized in that the image segmentation of the surface gray scale image is carried out by DNN.
7. The intelligent control system for granulation equipment used for heat shrinkable tubes as claimed in claim 5, wherein before the image processing device preprocesses the surface gray scale image to obtain each particle existing in the surface gray scale image, further comprising: and carrying out median filtering denoising on the surface gray level image.
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