A method and device for controlling the recovery of fluorinated rubber waste

Abstract

The invention discloses a recycling control method and device for fluorinated rubber waste, and relates to the technical field of waste recycling. The method comprises: obtaining basic information on waste performance and material composition of the rubber waste to be recycled; optimizing the crushing mesh by separating rubber and additives in the rubber waste to be recycled as the first constraint information; optimizing the low-temperature crushing power consumption to obtain the first optimized crushing temperature and the first optimized crushing control parameter; controlling the precooling equipment to cool down according to the first optimized crushing temperature, performing temperature monitoring, and generating temperature distribution data; performing precooling quality verification, and controlling the crushing equipment to crush the rubber waste to be recycled. The method solves the technical problem that the precooling control and crushing mesh setting during crushing in the existing fluorinated rubber waste recycling are not refined enough, which makes it difficult to accurately separate rubber particles and additives, resulting in poor crushing effect, and achieves the technical effect of improving the separation accuracy of rubber and additives.

Description

Technical Field

[0001] The present application relates to the technical field related to waste recycling, and specifically to a recycling control method and device for fluorine-containing rubber waste. Background Art

[0002] With the continuous improvement of environmental awareness and the requirements of sustainable development, the traditional fluorine-containing rubber waste recycling control methods can no longer meet the needs of modern society for environmental protection and resource recycling. Fluorine rubber, as a high-performance synthetic polymer elastomer, plays an irreplaceable role in aerospace, semiconductors, automobiles, chemicals and other fields with its unique heat resistance, oxidation resistance, oil resistance, corrosion resistance and atmospheric aging resistance. With the popularization and increase in the use of fluorine rubber products, the problem of waste generated has gradually become prominent. The traditional methods of treating fluorine-containing rubber waste are mainly landfill or incineration, but these methods have obvious problems. Landfill not only occupies a large amount of land resources, but also the harmful substances in the fluorine-containing rubber waste may gradually seep out, causing pollution to the soil and water sources, while incineration will produce a large amount of toxic gases and harmful solid waste, causing secondary pollution to the air and environment.

[0003] Therefore, in the current technology related to the recycling of fluorine-containing rubber waste, there are technical problems such as the pre-cooling control during crushing and the setting of the crushing mesh size are not refined enough, which makes it difficult to accurately separate the rubber particles and additives, resulting in poor crushing effect. Summary of the invention

[0004] The present application provides a method and device for controlling the recovery of fluorine-containing rubber waste, and adopts technical means such as optimizing the crushing mesh number and optimizing the power consumption of low-temperature crushing, so as to solve the technical problems existing in the existing recycling of fluorine-containing rubber waste, such as the pre-cooling control during crushing and the setting of the crushing mesh number are not refined enough, resulting in difficulty in accurately separating rubber particles and additives and poor crushing effect, thereby achieving the technical effect of improving the separation accuracy of rubber and additives.

[0005] The present application provides a recycling control method for fluorine-containing rubber waste, the method comprising: obtaining basic waste performance information and material composition information of the rubber waste to be recycled; taking the separation of rubber and additives in the rubber waste to be recycled as the first constraint information, optimizing the crushing mesh number based on the material composition information, and obtaining the optimal crushing mesh number; optimizing the low-temperature crushing power consumption based on the waste performance basic information and the optimal crushing mesh number, and obtaining a first optimized crushing temperature and a first optimized crushing control parameter; controlling a precooling device to cool the rubber waste to be recycled according to the first optimized crushing temperature, and performing temperature monitoring through a temperature monitoring module to generate temperature distribution data; performing a precooling quality check based on the temperature distribution data, and when the precooling quality check passes, controlling the crushing device to crush the rubber waste to be recycled according to the first optimized crushing control parameter.

[0006] In a possible implementation, the separation of rubber and additives in the rubber waste to be recycled is used as the first constraint information, and the optimization of the crushing mesh number is performed based on the material composition information to obtain the optimal crushing mesh number, and the following processing is also performed: the historical crushing and recycling record data of the rubber waste to be recycled is obtained; based on the historical crushing and recycling record data, an initial crushing sample set is extracted according to the first parameter distance constraint threshold, wherein the initial crushing sample set includes a crushing mesh number sample set and a material separation degree sample set; a separation degree analyzer is trained and constructed according to the crushing mesh number sample set and the material separation degree sample set; the crushing mesh number sample set is binary classified based on the material separation degree sample set to obtain a first crushing mesh number sample set and a second crushing mesh number sample set; with the first crushing mesh number sample set as the starting point and the second crushing mesh number sample set as the target, a crushing mesh number variation process is performed to generate a third crushing mesh number sample set, and the separation degree analyzer is used for analysis to generate a variation crushing sample set; a first optimized crushing sample set that meets the first constraint information is extracted from the initial crushing sample set and the variation crushing sample set; and the first optimized crushing sample set is subjected to crushing dust constraint to generate the optimal crushing mesh number.

[0007] In a possible implementation, the first optimized pulverizing sample set is subjected to pulverizing dust constraints to generate the optimal pulverizing mesh number, and the following processing is performed: a pulverizing mesh number sample set and a dust emission concentration sample set are collected based on the historical pulverizing recovery record data; a dust emission analyzer is constructed using the pulverizing mesh number sample set and the dust emission concentration sample set, the first optimized pulverizing sample set is analyzed, and a first optimized dust emission concentration set is output; a dust emission concentration threshold is obtained, and the emission concentration constraint is performed on the first optimized pulverizing sample set in combination with the first optimized dust emission concentration set to generate the optimal pulverizing mesh number.

[0008] In a possible implementation, low-temperature crushing power consumption optimization is performed based on the basic information on waste performance and the optimal crushing mesh number, and the first optimal crushing temperature and the first optimal crushing control parameter are obtained, and the following processing is performed: low-temperature performance impact analysis is performed based on the basic information on waste performance to obtain multiple low-temperature performance samples at different low-temperature thresholds; a material performance-crushing power mapping relationship is constructed based on the optimal crushing mesh number; combined with the material performance-crushing power mapping relationship, minimum power optimization is performed on the multiple low-temperature performance samples to generate the first optimal crushing temperature and the first optimal crushing control parameter.

[0009] In a possible implementation, a material property-crushing power mapping relationship is constructed based on the optimal crushing mesh number, and the following processing is also performed: taking the optimal crushing mesh number as a quantitative factor, and taking the material property and crushing power as variables, collecting crushing control records; performing curve fitting of material property and crushing power according to the crushing control records to obtain a performance-power fitting curve; and generating the material property-crushing power mapping relationship using the performance-power fitting curve.

[0010] In a possible implementation, a pre-cooling quality check is performed based on the temperature distribution data, and the following processing is also performed: the temperature distribution data includes multiple temperature data of multiple positions of the rubber waste to be recycled; it is determined whether the multiple temperature data meet the first optimal crushing temperature, and if so, temperature distribution uniformity identification is performed on the multiple temperature data, and if the temperature distribution uniformity index meets the preset index threshold, the pre-cooling quality check passes; if the multiple temperature data do not meet the first optimal crushing temperature, the temperature abnormal area is located, and the neighborhood connectivity check is performed on the temperature abnormal area; if the neighborhood connectivity check result passes, the uniform cooling device is started to perform uniform cooling control on the temperature abnormal area.

[0011] In a possible implementation, before obtaining the basic information on waste properties and material composition information of the rubber waste to be recycled, the following processing is also performed: receiving the waste type information of the rubber waste to be recycled, and determining whether the rubber waste to be recycled contains multiple wastes; if so, performing material consistency verification on the multiple wastes based on a material consistency threshold, and performing combined crushing and recycling control on the wastes that pass the consistency verification.

[0012] The present application also provides a recycling control device for fluorine-containing rubber waste, comprising:

[0013] A performance basic information acquisition module, wherein the performance basic information acquisition module is used to acquire waste material performance basic information and material composition information of the rubber waste to be recycled;

[0014] A crushing mesh optimization module, wherein the crushing mesh optimization module is used to optimize the crushing mesh by separating the rubber and the additives in the rubber waste to be recycled as the first constraint information and based on the material composition information to obtain the optimal crushing mesh;

[0015] A low-temperature pulverizing power consumption optimization module, wherein the low-temperature pulverizing power consumption optimization module is used to optimize the low-temperature pulverizing power consumption based on the basic information of the waste performance and the optimal pulverizing mesh number, and obtain a first optimized pulverizing temperature and a first optimized pulverizing control parameter;

[0016] A temperature distribution data generating module, the temperature distribution data generating module is used to control the pre-cooling device to cool the rubber waste to be recycled according to the first optimal crushing temperature, and monitor the temperature through the temperature monitoring module to generate temperature distribution data;

[0017] A rubber waste crushing control module is used to perform pre-cooling quality verification based on the temperature distribution data. When the pre-cooling quality verification passes, the crushing equipment is controlled to crush the rubber waste to be recycled according to the first optimal crushing control parameter.

[0018] Through the recycling control method and device of fluorinated rubber waste proposed in this application, it is intended to obtain the basic information of waste performance and material composition of the rubber waste to be recycled; to separate the rubber and additives in the rubber waste to be recycled as the first constraint information, to optimize the crushing mesh number, and obtain the optimal crushing mesh number; to optimize the low-temperature crushing power consumption, to obtain the first optimal crushing temperature and the first optimal crushing control parameter; to control the precooling equipment to cool down according to the first optimal crushing temperature, and to monitor the temperature through the temperature monitoring module to generate temperature distribution data; to perform precooling quality verification, and to control the crushing equipment to control the crushing of the recycled rubber waste. It solves the technical problem that the precooling control and crushing mesh number setting during crushing in the existing fluorinated rubber waste recycling are not refined enough, which makes it difficult to accurately separate rubber particles and additives, resulting in poor crushing effect, and achieves the technical effect of improving the separation accuracy of rubber and additives. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0020] Figure 1A schematic flow chart of a method for recycling and controlling fluorine-containing rubber waste provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the structure of a recovery control device for fluorine-containing rubber waste provided in an embodiment of the present application.

[0022] Description of reference numerals: performance basic information acquisition module 10 , crushing mesh optimization module 20 , low-temperature crushing power consumption optimization module 30 , temperature distribution data generation module 40 , rubber waste crushing control module 50 . DETAILED DESCRIPTION

[0023] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0024] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0025] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0026] The present application embodiment provides a method for controlling the recovery of fluorine-containing rubber waste, such as Figure 1 As shown, the method includes:

[0027] Step S100, obtaining basic information on waste properties and material composition information of the rubber waste to be recycled. Basic information on waste properties refers to the performance information of the rubber waste to be recycled, such as the toughness, stretchability, hardness, density, etc. of the rubber waste, which reflects the overall quality and processability of the rubber waste; material composition information refers to the rubber type, additive type and content, impurity content, etc. of the rubber waste to be recycled. Specifically, the rubber type (such as natural rubber, synthetic rubber, etc.) and specific variety (such as styrene-butadiene rubber, nitrile rubber, etc.) of the rubber waste, the type of additives (such as vulcanizer, accelerator, antioxidant, etc.) and content in the waste have an important influence on the processing performance and physical properties of the rubber, and also affect the recycling rate of the waste and the quality of the recycled products. The type and content of impurities in the waste, such as moisture, ash, oil, etc., affect the recycling rate of the waste and the quality of the recycled products.

[0028] Step S200, taking the separation of rubber and additives in the rubber waste to be recycled as the first constraint information, optimizing the crushing mesh number based on the material composition information to obtain the optimal crushing mesh number. The separation of rubber and additives in the rubber waste to be recycled is taken as the first constraint information, and the crushing mesh number is optimized based on the material composition information to obtain the optimal crushing mesh number. Specifically, in the process of recycling rubber waste, the goal is to effectively separate the rubber waste from the additives therein, that is, as the first constraint information, the crushing mesh number is optimized. The additives in the rubber will have an adverse effect on the subsequent reuse of the rubber. Ensuring the effective separation of the rubber waste and the additives therein is the primary task of the recycling process. According to the material composition information of the rubber waste, including the type of rubber, the type and content of the additives, etc., the effective separation of rubber and additives is achieved. Crushing can break the rubber waste into smaller particles for subsequent reuse. The crushing mesh number refers to the number of holes per inch on the crusher screen, which determines the size of the crushed particles. Different crushing mesh numbers will have a significant impact on the separation effect of rubber and additives. Based on the material composition information of the rubber waste, the optimal crushing mesh number is determined, which can ensure the effective separation of rubber and additives while retaining the performance and recyclability of the rubber as much as possible.

[0029] In a possible implementation, step S200 further includes step S210, obtaining historical crushing and recycling record data of the rubber waste to be recycled. Collect and organize relevant data of the crushing and recycling operations of the rubber waste to be recycled, including raw material information and crushing parameters, such as the source, type, impurity content, crushing mesh number of the crusher, crushing temperature, etc. of the rubber waste to be recycled. It also includes step S220, extracting an initial crushing sample set based on the historical crushing and recycling record data according to the first parameter distance constraint threshold, wherein the initial crushing sample set includes a crushing mesh number sample set and a material separation degree sample set. Based on the historical crushing and recycling record data, the initial crushing sample set is extracted according to the first parameter distance constraint threshold, which mainly refers to the screening and classification of historical data to construct a sample set for subsequent analysis and optimization. Specifically, the first parameter distance constraint threshold is a preset value for measuring the distance between different historical record parameters, that is, when extracting historical parameters, it is necessary to ensure the uniformity of the distribution of historical parameters and ensure its optimization performance. The initial crushing sample set is a subset extracted from the historical data, including a crushing mesh sample set and a material separation degree sample set, wherein the crushing mesh sample set contains samples of different crushing meshes in the historical data, which are used to measure the crushing effect of the rubber material to be recycled; the material separation degree sample set contains samples of different material separation degrees in the historical data, and the material separation degree refers to the degree of separation between different materials (such as rubber and additives) in the rubber waste to be recycled. By extracting the initial crushing sample set according to the first parameter distance constraint threshold, we can obtain a representative data set, which is helpful to improve the accuracy and efficiency of the recycling process and reduce energy consumption and cost. It also includes step S230, training and constructing a separation degree analyzer according to the crushing mesh sample set and the material separation degree sample set. The separation degree analyzer can receive a new crushing mesh as input and predict the corresponding material separation degree. It also includes step S240, based on the material separation degree sample set, the crushing mesh sample set is binary classified to obtain a first crushing mesh sample set and a second crushing mesh sample set. Binary classification of the crushing mesh sample set based on the material separation degree sample set means that the crushing mesh samples are divided into two different categories, the first crushing mesh sample set and the second crushing mesh sample set, according to certain standards or thresholds of material separation degree. Binary classification means dividing the crushing mesh sample set into two categories based on the material separation degree sample set. For example, a separation degree threshold is set, and the crushing mesh samples with a separation degree higher than this threshold are classified into one category (efficient separation), and the crushing mesh samples with a separation degree lower than this threshold are classified into another category (inefficient separation). All crushing mesh samples that meet the efficient separation standard are classified into the second crushing mesh sample set, and all crushing mesh samples that meet the inefficient separation standard are classified into the first crushing mesh sample set.It also includes step S250, taking the first crushing mesh number sample set as the starting point and the second crushing mesh number sample set as the target, performing crushing mesh number variation processing to generate a third crushing mesh number sample set, and performing analysis based on the separation degree analyzer to generate a variation crushing sample set. The third crushing mesh number sample set refers to a set of new crushing mesh numbers generated by variation, and each sample in the third crushing mesh number sample set is input into the previously trained separation degree analyzer. The separation degree analyzer predicts the corresponding material separation degree based on the input crushing mesh number sample, and generates a variation crushing sample set, which includes each mutated crushing mesh number sample and its corresponding predicted material separation degree. It also includes step S260, extracting a first optimized crushing sample set that meets the first constraint information from the initial crushing sample set and the variation crushing sample set. The crushing mesh number samples that meet the first constraint information are screened from the initial crushing sample set and the variation crushing sample set to form an optimized sample set, namely the first optimized crushing sample set. It also includes step S270, performing crushing dust constraint on the first optimized crushing sample set to generate the optimal crushing mesh number. On the basis of the screened first optimized crushing sample set, the amount of dust generated in the crushing process is further considered, and the crushing mesh size is adjusted and optimized accordingly to finally determine the optimal crushing mesh size. Specifically, it is necessary to clarify the limit on the amount of dust, that is, to determine the crushing dust constraint. For each sample in the first optimized crushing sample set, the amount of dust that may be generated in the actual crushing process is evaluated, and the crushing mesh size is adjusted according to the evaluation results to finally generate the optimal crushing mesh size.

[0030] In a possible implementation, step S270 further includes step S271, collecting a crushing mesh sample set and a dust emission concentration sample set based on the historical crushing recovery record data. Extract data related to the crushing mesh and dust emission concentration from the past crushing recovery operation records to form a crushing mesh sample set and a dust emission concentration sample set. It also includes step S272, using the crushing mesh sample set and the dust emission concentration sample to construct a dust emission analyzer, analyze the first optimized crushing sample set, and output the first optimized dust emission concentration set. Combine the crushing mesh sample set and the dust emission concentration sample set to construct a dust emission analyzer that can predict the corresponding dust emission concentration based on a given crushing mesh. Each crushing mesh sample in the first optimized crushing sample set is input into the trained dust emission analyzer. The analyzer predicts the corresponding dust emission concentration based on the input crushing mesh, and organizes them into a set, namely the first optimized dust emission concentration set. The method further includes step S273, obtaining a dust emission concentration threshold, and constraining the first optimized pulverization sample set with the first optimized dust emission concentration set to generate the optimal pulverization mesh number. The dust emission concentration threshold represents the maximum dust emission concentration allowed, and the dust emission concentration threshold is compared with the first optimized dust emission concentration set. For those pulverization mesh number samples whose predicted emission concentration exceeds the threshold, constraints are imposed or excluded, and the optimal pulverization mesh number is finally generated.

[0031] Step S300, based on the basic information of waste material performance and the optimal crushing mesh number, low-temperature crushing power consumption is optimized to obtain the first optimal crushing temperature and the first optimal crushing control parameter. Based on the basic information of waste material performance and the optimal crushing mesh number, low-temperature crushing power consumption is optimized to obtain the first optimal crushing temperature and the first optimal crushing control parameter, wherein low-temperature crushing technology is a method of crushing materials at a relatively low temperature, which can effectively reduce energy consumption, protect material properties, reduce dust pollution and improve crushing effect. Specifically, based on the basic information of waste material performance and the optimal crushing mesh number, different crushing temperatures and control parameters are tested and simulated to find a combination with the lowest crushing power consumption. This combination is the first optimal crushing temperature and the first optimal crushing control parameter. The crushing temperature refers to the ambient temperature or material temperature during the crushing operation, and the crushing control parameters include adjustable parameters such as the rotation speed, feed speed, and discharge particle size of the crusher.

[0032] In a possible implementation, step S300 further includes step S310, performing low temperature performance impact analysis based on the basic information of waste performance, and obtaining multiple low temperature performance samples at different low temperature thresholds. Based on the basic information of waste performance, the low temperature performance impact analysis is performed to further analyze the impact of the low temperature environment on the basic performance. For example, low temperature can increase the brittleness and reduce the strength of rubber waste. In order to more specifically study the impact of low temperature on waste performance, it is necessary to set different low temperature thresholds, such as -10°C, -20°C, -30°C, etc. At each set low temperature threshold, the waste is tested for performance and its performance data is recorded, i.e., low temperature performance samples at different low temperature thresholds. It also includes step S320, constructing a material performance-crushing power mapping relationship based on the optimal crushing mesh number. Using the determined optimal crushing mesh number, a corresponding relationship between material performance and the crushing power required in the crushing process is established, and the corresponding relationship between material performance and crushing power at different crushing mesh numbers is described. The method further includes step S330, combining the material performance-crushing power mapping relationship, performing minimum power optimization on the plurality of low temperature performance samples, and generating the first optimal crushing temperature and the first optimal crushing control parameter. Combining the material performance-crushing power mapping relationship, a crushing condition (crushing temperature and crushing control parameter) is found so that the crushing power of the crushing process is minimized while meeting the material performance requirements, and finally generating an optimal solution that meets the conditions, namely the first optimal crushing temperature and the first optimal crushing control parameter.

[0033] In a possible implementation, step S320 further includes step S321, collecting crushing control records with the optimal crushing mesh number as a quantitative quantity and material properties and crushing power as variables. Under the premise of keeping the optimal crushing mesh number unchanged, the relevant crushing control records are collected by changing or adjusting the material properties and crushing power. It also includes step S322, performing curve fitting of material properties and crushing power according to the crushing control records to obtain a performance-power fitting curve. Data points related to material properties and crushing power are extracted from the crushing control records, and curve fitting is performed to finally obtain a performance-power fitting curve to describe the functional relationship between material properties and crushing power. It also includes step S323, generating the material performance-crushing power mapping relationship with the performance-power fitting curve. The material performance-crushing power mapping relationship reflects the corresponding crushing power under different material performance levels.

[0034] Step S400, controlling the pre-cooling device to cool the rubber waste to be recycled according to the first optimal crushing temperature, and monitoring the temperature through a temperature monitoring module to generate temperature distribution data. According to the first optimal crushing temperature obtained, the rubber waste to be recycled is cooled by using a pre-cooling device, and the temperature is monitored in real time by a temperature monitoring module to obtain temperature distribution data. Specifically, the first optimal crushing temperature is an optimal operating temperature that can ensure effective crushing of the waste and minimize energy consumption during the low-temperature crushing process. The pre-cooling device is a device used to cool the rubber waste to the first optimal crushing temperature, including a cooling medium (such as cold water, refrigerant), a cooling pipe, a temperature control system, etc., to ensure that the waste reaches a predetermined temperature before entering the crusher; the temperature monitoring module usually includes a temperature sensor (such as a thermocouple, thermistor, etc.), a data acquisition system and a data processing software, which is placed on a waste pile or a conveyor belt to collect temperature data in real time, and transmit the temperature data to the data processing software through the data acquisition system for analysis, and the temperature data monitored by the temperature monitoring module is processed and analyzed to generate temperature distribution data of the rubber waste to be recycled, and display the temperature data of the rubber waste to be recycled in different locations or areas.

[0035] Step S500, performing a pre-cooling quality check based on the temperature distribution data, and when the pre-cooling quality check passes, controlling the pulverizing equipment to pulverize the rubber waste to be recycled according to the first optimal pulverizing control parameter. A pre-cooling quality check is performed based on the temperature distribution data, and a decision is made based on the check result whether to perform a crushing control operation according to the first optimal crushing control parameter. Specifically, based on the temperature distribution data, the pre-cooling quality check refers to judging whether the overall temperature of the waste reaches or is close to the first optimal crushing temperature, and whether the temperature distribution is uniform. If the temperature of the waste is too low or too high, or the temperature distribution is uneven, the subsequent crushing effect may be affected. If the pre-cooling quality check passes, that is, the temperature of the waste reaches or is close to the first optimal crushing temperature, and the temperature distribution is uniform, the crushing equipment is controlled to crush the recycled rubber waste according to the first optimal crushing control parameter. During the crushing process, the crushing equipment will crush the waste according to the set parameters to achieve a predetermined particle size. If the check fails, it is necessary to adjust the parameters of the pre-cooling equipment or re-perform the pre-cooling treatment to make the temperature reach the first optimal crushing temperature, and then control the crushing equipment to crush the recycled rubber waste to achieve the optimal crushing mesh.

[0036] In a possible implementation, step S500 further includes step S510, wherein the temperature distribution data includes multiple temperature data at multiple positions of the rubber waste to be recycled. The temperature distribution data is the data obtained by measuring and recording the temperature at different positions on the waste during the crushing process of the rubber waste to be recycled. It also includes step S520, judging whether the multiple temperature data meet the first optimal crushing temperature, if so, performing temperature distribution uniformity identification on the multiple temperature data, and if the temperature distribution uniformity index meets the preset index threshold, the pre-cooling quality verification passes. Multiple temperature data are judged, if the temperature data is less than or equal to the first optimal crushing temperature, then the spatial uniformity of these temperature data is further analyzed, that is, whether the temperature values ​​at different positions of the rubber waste to be recycled are similar or consistent, if the temperature distribution uniformity index meets the preset index threshold, it means that the temperature distribution of the waste is uniform, and the pre-cooling quality verification passes. It also includes step S530, if the multiple temperature data do not meet the first optimal crushing temperature, locate the temperature abnormal area, and perform neighborhood connectivity verification on the temperature abnormal area. If multiple temperature data do not meet the first optimal crushing temperature, the temperature abnormal area is located, and the neighborhood connectivity check is performed on the temperature abnormal area, that is, whether the temperature of a connected area is not satisfied. It also includes step S540, if the neighborhood connectivity check result passes, the uniform cooling device is started to uniformly control the cooling of the temperature abnormal area. If the neighborhood connectivity check result passes, it may be that the cooling gas is unevenly distributed, and the cooling uniform control is achieved by a fan or stirring, and the uniform cooling device refers to a fan or a stirring rod.

[0037] In a possible implementation, before step S100, step S90 is also included, receiving the waste type information of the rubber waste to be recycled, and determining whether the rubber waste to be recycled contains multiple types of waste. After receiving the type information of the rubber waste to be recycled, determine whether the rubber waste to be recycled is composed of a single type or contains multiple different types of waste. Step S91 is also included, if so, performing material consistency verification on the multiple wastes based on the material consistency threshold, and performing combined crushing and recycling control on the wastes that pass the consistency verification. If multiple types of waste are included, a material consistency verification is performed based on the material consistency threshold. Specifically, the material consistency threshold refers to whether the contents of the components of different wastes are consistent. For multiple types of waste that meet the material consistency threshold, crushing and recycling control is performed, that is, the multiple types of waste are mixed together, and then crushed according to unified process parameters.

[0038] In the above, refer to Figure 1 A method for controlling the recovery of fluorine-containing rubber waste according to an embodiment of the present invention is described in detail. Figure 2A recycling control device for fluorine-containing rubber waste according to an embodiment of the present invention is described.

[0039] A recycling control device for fluorine-containing rubber waste according to an embodiment of the present invention is used to solve the technical problem that the pre-cooling control during pulverization and the setting of the pulverization mesh number are not refined enough in the existing fluorine-containing rubber waste recycling, which makes it difficult to accurately separate rubber particles and additives, resulting in poor pulverization effect, and achieves the technical effect of improving the separation accuracy of rubber and additives. A recycling control device for fluorine-containing rubber waste includes: a performance basic information acquisition module 10, a pulverization mesh number optimization module 20, a low-temperature pulverization power consumption optimization module 30, a temperature distribution data generation module 40, and a rubber waste pulverization control module 50.

[0040] A basic performance information acquisition module 10, wherein the basic performance information acquisition module 10 is used to acquire basic waste performance information and material composition information of the rubber waste to be recycled;

[0041] A crushing mesh optimization module 20, wherein the crushing mesh optimization module 20 is used to optimize the crushing mesh by separating the rubber and the additives in the rubber waste to be recycled as the first constraint information and based on the material composition information to obtain the optimal crushing mesh;

[0042] A low-temperature pulverizing power consumption optimization module 30, wherein the low-temperature pulverizing power consumption optimization module 30 is used to optimize the low-temperature pulverizing power consumption based on the waste performance basic information and the optimal pulverizing mesh number, and obtain a first optimized pulverizing temperature and a first optimized pulverizing control parameter;

[0043] A temperature distribution data generating module 40, wherein the temperature distribution data generating module 40 is used to control the pre-cooling device to cool the rubber waste to be recycled according to the first optimal crushing temperature, and to monitor the temperature through a temperature monitoring module to generate temperature distribution data;

[0044] The rubber waste crushing control module 50 is used to perform pre-cooling quality verification based on the temperature distribution data. When the pre-cooling quality verification passes, the crushing equipment is controlled to crush the rubber waste to be recycled according to the first optimal crushing control parameter.

[0045] The specific configuration of the crushing mesh optimization module 20 will be described in detail below. The crushing mesh optimization module 20 may further include: obtaining the historical crushing and recycling record data of the rubber waste to be recycled; extracting the initial crushing sample set according to the first parameter distance constraint threshold based on the historical crushing and recycling record data, wherein the initial crushing sample set includes a crushing mesh sample set and a material separation degree sample set; training and constructing a separation degree analyzer based on the crushing mesh sample set and the material separation degree sample set; performing binary classification on the crushing mesh sample set based on the material separation degree sample set to obtain a first crushing mesh sample set and a second crushing mesh sample set; taking the first crushing mesh sample set as the starting point and the second crushing mesh sample set as the target, performing crushing mesh variation processing to generate a third crushing mesh sample set, and performing analysis based on the separation degree analyzer to generate a variation crushing sample set; extracting a first optimized crushing sample set that meets the first constraint information from the initial crushing sample set and the variation crushing sample set; performing crushing dust constraint on the first optimized crushing sample set to generate the optimal crushing mesh.

[0046] The specific configuration of the crushing mesh optimization module 20 will be described in detail below. The crushing mesh optimization module 20 further includes: collecting crushing mesh sample sets and dust emission concentration sample sets based on the historical crushing recovery record data; using the crushing mesh sample sets and the dust emission concentration sample sets to construct a dust emission analyzer, analyze the first optimized crushing sample set, and output the first optimized dust emission concentration set; obtain the dust emission concentration threshold, and combine the first optimized dust emission concentration set to constrain the emission concentration of the first optimized crushing sample set to generate the optimal crushing mesh.

[0047] The specific configuration of the low temperature pulverizing power consumption optimization module 30 will be described in detail below. The low temperature pulverizing power consumption optimization module 30 may further include: performing low temperature performance impact analysis based on the basic information of waste performance to obtain multiple low temperature performance samples at different low temperature thresholds; constructing a material performance-pulverizing power mapping relationship based on the optimal pulverizing mesh number; combining the material performance-pulverizing power mapping relationship, performing minimum power optimization on the multiple low temperature performance samples to generate the first optimized pulverizing temperature and the first optimized pulverizing control parameter.

[0048] The specific configuration of the low-temperature crushing power consumption optimization module 30 will be described in detail below. The low-temperature crushing power consumption optimization module 30 may further include: collecting crushing control records with the optimal crushing mesh as a quantitative value and material properties and crushing power as variables; performing curve fitting of material properties and crushing power according to the crushing control records to obtain a performance-power fitting curve; and generating the material property-crushing power mapping relationship with the performance-power fitting curve.

[0049] The specific configuration of the rubber waste crushing control module 50 will be described in detail below. The rubber waste crushing control module 50 may further include: the temperature distribution data includes multiple temperature data of multiple positions of the to-be-recycled rubber waste; judging whether the multiple temperature data meet the first optimal crushing temperature, if so, performing temperature distribution uniformity identification on the multiple temperature data, if the temperature distribution uniformity index meets the preset index threshold, the pre-cooling quality check passes; if the multiple temperature data do not meet the first optimal crushing temperature, locating the temperature abnormal area, and performing neighborhood connectivity check on the temperature abnormal area; if the neighborhood connectivity check result passes, starting the uniform cooling device to perform cooling uniformity control on the temperature abnormal area.

[0050] The specific configuration of the performance basic information acquisition module 10 will be described in detail below. The performance basic information acquisition module 10 further includes: receiving the waste type information of the rubber waste to be recycled, determining whether the rubber waste to be recycled includes multiple wastes; if so, performing material consistency verification on the multiple wastes based on the material consistency threshold, and performing combined crushing and recycling control on the wastes that pass the consistency verification.

[0051] A fluorine-containing rubber waste recovery control device provided in an embodiment of the present invention can execute a fluorine-containing rubber waste recovery control method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects of the execution method.

[0052] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0053] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for recycling and controlling fluorine-containing rubber waste, characterized in that: The method comprises: Obtain basic information on waste properties and material composition of the rubber waste to be recycled; Separating rubber and additives in the rubber waste to be recycled is used as the first constraint information, and optimizing the crushing mesh number based on the material composition information to obtain the optimal crushing mesh number; Based on the basic information of waste material performance and the optimal crushing mesh number, low-temperature crushing power consumption optimization is performed to obtain a first optimal crushing temperature and a first optimal crushing control parameter; Controlling the precooling device according to the first optimal crushing temperature to cool the rubber waste to be recycled, and monitoring the temperature through a temperature monitoring module to generate temperature distribution data; Performing a precooling quality check based on the temperature distribution data, and when the precooling quality check passes, controlling the pulverizing equipment to pulverize the rubber waste to be recycled according to the first optimal pulverizing control parameter; The separation of rubber and additives in the rubber waste to be recycled is used as the first constraint information, and the optimization of the crushing mesh is performed based on the material composition information to obtain the optimal crushing mesh, including: Obtaining historical crushing and recycling record data of the rubber waste to be recycled; Extracting an initial crushing sample set based on the historical crushing recovery record data according to a first parameter distance constraint threshold, wherein the initial crushing sample set includes a crushing mesh sample set and a material separation degree sample set; Training and constructing a separation degree analyzer according to the crushing mesh sample set and the material separation degree sample set; Based on the material separation degree sample set, the crushing mesh number sample set is classified into two categories to obtain a first crushing mesh number sample set and a second crushing mesh number sample set; Taking the first crushing mesh number sample set as a starting point and the second crushing mesh number sample set as a target, performing crushing mesh number variation processing to generate a third crushing mesh number sample set, and performing analysis based on the separation degree analyzer to generate a variation crushing sample set; Extracting a first optimized shredding sample set that satisfies first constraint information from the initial shredding sample set and the variant shredding sample set; Performing crushing dust constraint on the first optimized crushing sample set to generate the optimal crushing mesh number; The first optimized crushing sample set is subjected to crushing dust constraint to generate the optimal crushing mesh number, including: Collect a crushing mesh sample set and a dust emission concentration sample set based on the historical crushing and recycling record data; A dust emission analyzer is constructed by using the crushing mesh sample set and the dust emission concentration sample set, the first optimized crushing sample set is analyzed, and a first optimized dust emission concentration set is output; A dust emission concentration threshold is obtained, and emission concentration constraints are imposed on the first optimized pulverization sample set in combination with the first optimized dust emission concentration set to generate the optimal pulverization mesh number.

2. The method for controlling the recovery of fluorine-containing rubber waste according to claim 1, characterized in that: Based on the basic information of waste material performance and the optimal crushing mesh number, low-temperature crushing power consumption optimization is performed to obtain a first optimal crushing temperature and a first optimal crushing control parameter, including: Performing low temperature performance impact analysis based on the basic information of waste performance to obtain a plurality of low temperature performance samples at different low temperature thresholds; Constructing a material performance-crushing power mapping relationship based on the optimal crushing mesh number; In combination with the material property-crushing power mapping relationship, minimum power optimization is performed on the multiple low-temperature performance samples to generate the first optimal crushing temperature and the first optimal crushing control parameter.

3. The method for recycling and controlling fluorine-containing rubber waste according to claim 1, characterized in that: The material performance-crushing power mapping relationship is established based on the optimal crushing mesh number, including: Taking the optimal crushing mesh number as a quantitative value and the material properties and crushing power as variables, collecting crushing control records; Performing curve fitting of material performance and pulverizing power according to the pulverizing control record to obtain a performance-power fitting curve; The material property-crushing power mapping relationship is generated by using the property-power fitting curve.

4. The method for controlling the recovery of fluorine-containing rubber waste according to claim 1, characterized in that: Performing precooling quality verification based on the temperature distribution data includes: The temperature distribution data includes a plurality of temperature data at a plurality of locations of the rubber waste to be recycled; Determine whether the plurality of temperature data meet the first optimal crushing temperature, and if so, perform temperature distribution uniformity identification on the plurality of temperature data, and if the temperature distribution uniformity index meets a preset index threshold, the pre-cooling quality check passes; If the plurality of temperature data do not satisfy the first optimal crushing temperature, locate the temperature abnormal area, and perform neighborhood connectivity check on the temperature abnormal area; If the neighborhood connectivity check result passes, the uniform cooling device is started to perform uniform cooling control on the temperature abnormal area.

5. The method for recycling and controlling fluorine-containing rubber waste according to claim 1, characterized in that: Before obtaining the basic information on waste properties and material composition information of the rubber waste to be recycled, the method further includes: receiving waste type information of the rubber waste to be recycled, and determining whether the rubber waste to be recycled includes multiple wastes; If so, a material consistency check is performed on the plurality of waste materials based on the material consistency threshold, and the waste materials that pass the consistency check are subjected to a combined crushing and recycling control.

6. A recycling control device for fluorine-containing rubber waste, characterized in that: The device is used to implement a method for controlling the recovery of fluorine-containing rubber waste according to any one of claims 1 to 5, and the device comprises: A performance basic information acquisition module, wherein the performance basic information acquisition module is used to acquire waste material performance basic information and material composition information of the rubber waste to be recycled; A crushing mesh optimization module, wherein the crushing mesh optimization module is used to optimize the crushing mesh by separating the rubber and the additives in the rubber waste to be recycled as the first constraint information and based on the material composition information to obtain the optimal crushing mesh; A low-temperature pulverizing power consumption optimization module, wherein the low-temperature pulverizing power consumption optimization module is used to optimize the low-temperature pulverizing power consumption based on the basic information of the waste performance and the optimal pulverizing mesh number, and obtain a first optimized pulverizing temperature and a first optimized pulverizing control parameter; A temperature distribution data generating module, the temperature distribution data generating module is used to control the pre-cooling device to cool the rubber waste to be recycled according to the first optimal crushing temperature, and monitor the temperature through the temperature monitoring module to generate temperature distribution data; A rubber waste crushing control module is used to perform pre-cooling quality verification based on the temperature distribution data. When the pre-cooling quality verification passes, the crushing equipment is controlled to crush the rubber waste to be recycled according to the first optimal crushing control parameter.

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