Special aqueous oligomer and preparation method thereof

Abstract

The invention is suitable for the technical field of water-based oligomers, and particularly relates to a special water-based oligomer and a preparation method thereof, and the special water-based oligomer comprises the following components: 78-90% of a monomer raw material; 0.9%-8.5% of an emulsifier; 1.5%-9% of an initiator; 2%-7% of a stabilizer; wherein the monomer raw material comprises the following components: 27%-31.9% of deionized water; 16.8% to 19.6% of acrylic acid; 15.5% to 17.9% of methacrylic acid; 18.7% to 20.6% of styrene; wherein the emulsifier comprises lauryl sodium sulfate or nonylphenol polyoxyethylene ether, and the weight ratio of the emulsifier to the lauryl sodium sulfate or the nonylphenol polyoxyethylene ether is 0.9%-8.5%; wherein the initiator comprises phenyl ethyl phenyl ketone, ammonium persulfate or azodiisobutyronitrile, and the weight ratio of the initiator to the azodiisobutyronitrile is 1.5%-9%. The special water-based oligomer provided by the invention can be smoothly reacted in a water-based system during preparation, and stable free radicals can be provided under different temperature and pH conditions, so that the controllability and repeatability of a polymerization reaction are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of water-based oligomers, and in particular relates to a special water-based oligomer and a preparation method thereof. Background Art

[0002] Oligomers are molecular chains formed by polymerization of a few monomers, with a molecular weight between monomers and high polymers (such as polymers); specialty water-based oligomers refer to a class of water-soluble or water-dispersible oligomers with specific properties and uses. Water-based oligomers are usually designed to be stable in water and can provide specific functional properties in applications such as coatings, adhesives, inks, and textile finishing agents.

[0003] In the preparation process of the special water-based oligomers in the related art, the free radical generation and transfer process in the polymerization reaction is difficult to control and the operation steps are complicated, so the reaction rate is unstable and the reaction time is long, which affects the stability of the emulsion, resulting in poor use effect of the prepared water-based oligomers. Summary of the invention

[0004] The embodiments of the present application provide a special water-based oligomer and a preparation method thereof, which can solve the problem of poor stability of the emulsion caused by the difficulty in controlling the free radical generation and transfer process in the polymerization reaction.

[0005] In a first aspect, the present application provides a special water-based oligomer, which, by weight 100%, comprises:

[0006] Monomer raw material 78%~90%;

[0007] Emulsifier 0.9%~8.5%;

[0008] Initiator 1.5% to 9%;

[0009] Stabilizer 2% to 7%;

[0010] Wherein, the monomer raw material includes the following components:

[0011] Deionized water 27% to 31.9%;

[0012] Acrylic acid 16.8%~19.6%;

[0013] Methacrylic acid 15.5% to 17.9%;

[0014] Styrene 18.7% to 20.6%;

[0015] Wherein, the emulsifier includes sodium dodecyl sulfate or nonylphenol polyoxyethylene ether, and its weight proportion is 0.9% to 8.5%;

[0016] Wherein, the initiator includes phenylethyl phenyl ketone, ammonium persulfate or azobisisobutyronitrile, and its weight proportion is 1.5% to 9%.

[0017] The method for preparing a special water-based oligomer provided in the present application has excellent adhesion and weather resistance by adding monomer raw materials (deionized water, acrylic acid, methacrylic acid and styrene), can improve the gloss of the coating, and at the same time maintain good flexibility, so that it exhibits excellent adhesion on various substrates; and by using sodium dodecyl sulfate or nonylphenol polyoxyethylene ether as an emulsifier, the surface tension of the water-based oligomer can be effectively reduced, thereby improving its dispersibility and stability in water; phenyl ethyl phenyl ketone has a high initiation efficiency and good solubility, can ensure that the reaction proceeds smoothly in the aqueous system, and can provide stable free radicals under different temperature and pH conditions, thereby improving the controllability and repeatability of the polymerization reaction.

[0018] In a second aspect, an embodiment of the present application provides a method for preparing a special water-based oligomer, which is used to prepare the special water-based oligomer of any embodiment of the first aspect above, and the method for preparing the special water-based oligomer comprises:

[0019] Add deionized water into a nitrogen protection environment, add an emulsifier and stir evenly to obtain an emulsified aqueous solution; wherein the nitrogen protection environment is used to indicate a preparation environment in which only nitrogen exists in the container;

[0020] The copolymer is obtained by mixing acrylic acid, methacrylic acid and styrene;

[0021] adding the copolymer into an emulsified aqueous solution for pre-emulsification treatment to obtain an emulsion;

[0022] Adding an initiator to the emulsion, and carrying out a polymerization reaction under the condition that polymerization conditions are met, to obtain a special water-based oligomer emulsion;

[0023] The special water-based oligomer emulsion is cooled to obtain the special water-based oligomer.

[0024] The above-mentioned technical scheme in the embodiment of the present application has at least the following technical effects: deionized water is added into a nitrogen protection environment, and an emulsifier is added and uniformly stirred to obtain an emulsified aqueous solution; acrylic acid, methacrylic acid and styrene are mixed to obtain a copolymer, and the copolymer is added into the emulsified aqueous solution for pre-emulsification treatment to obtain an emulsion, an initiator is added into the emulsion, and a polymerization reaction is carried out under the condition that polymerization conditions are met to obtain a special aqueous oligomer emulsion; finally, the special aqueous oligomer emulsion is cooled to obtain a special aqueous oligomer; this method has simple operating steps, greatly reduces energy consumption, reduces production costs, reduces side reactions, improves the selectivity and yield of the reaction, and reduces the situation where the free radical generation and transfer process in the polymerization reaction are difficult to control and the stability of the emulsion is poor, thereby improving the output and quality as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 It is a schematic flow chart of a method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0027] Figure 2 It is a schematic diagram of the implementation process of step S400A in the method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0028] Figure 3 This is a schematic diagram of a partial step implementation process of a method for preparing a special water-based oligomer provided in an embodiment of the present application;

[0029] Figure 4 It is a schematic diagram of the implementation process of step S530 in the method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0030] Figure 5 It is a schematic diagram of the implementation process of step S400 in the method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0031] Figure 6 It is a schematic diagram of the implementation process of step S420 in the method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0032] Figure 7 It is a schematic diagram of the implementation process of step S430 in the method for preparing a special water-based oligomer provided in one embodiment of the present application;

[0033] Figure 8 Schematic diagram of the structure of the special water-based oligomer preparation system provided in the embodiment of the present application;

[0034] Fig. 9 It is a schematic diagram of the structure of the control device of the special water-based oligomer preparation equipment provided in the embodiment of the present application. DETAILED DESCRIPTION

[0035] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0036] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0037] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0038] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0039] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0040] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0041] Oligomers are molecular chains formed by polymerization of a few monomers, with a molecular weight between monomers and high polymers (such as polymers); specialty water-based oligomers refer to a class of water-soluble or water-dispersible oligomers with specific properties and uses. Water-based oligomers are usually designed to be stable in water and can provide specific functional properties in applications such as coatings, adhesives, inks, and textile finishing agents.

[0042] In the preparation process of the special water-based oligomers in the related art, the free radical generation and transfer process in the polymerization reaction is difficult to control and the operation steps are complicated, so the reaction rate is unstable and the reaction time is long, which affects the stability of the emulsion, resulting in poor use effect of the prepared water-based oligomers.

[0043] Based on this, in order to solve the problem of poor stability of the emulsion caused by the difficulty in controlling the free radical generation and transfer process in the polymerization reaction, the embodiments of the present application provide the following solution.

[0044] In a first aspect, the embodiments of the present application provide a special water-based oligomer, which, by weight 100%, comprises:

[0045] Monomer raw material 78%~90%;

[0046] Emulsifier 0.9%~8.5%;

[0047] Initiator 1.5% to 9%;

[0048] Stabilizer 2% to 7%;

[0049] Wherein, the monomer raw material includes the following components:

[0050] Deionized water 27% to 31.9%;

[0051] Acrylic acid 16.8%~19.6%;

[0052] Methacrylic acid 15.5% to 17.9%;

[0053] Styrene 18.7% to 20.6%;

[0054] Wherein, the emulsifier includes sodium dodecyl sulfate or nonylphenol polyoxyethylene ether, and its weight proportion is 0.9% to 8.5%;

[0055] Wherein, the initiator includes phenylethyl phenyl ketone, ammonium persulfate or azobisisobutyronitrile, and its weight proportion is 1.5% to 9%.

[0056] It can be understood that deionized water 27% to 31.9% is water that has been specially treated to remove the ion components therein, for example, distilled water or reverse osmosis water can also be used, but it is not limited to this. Acrylic acid 16.8% to 19.6% is an organic compound with good film-forming properties and adhesion, which helps to improve the weather resistance and chemical resistance of the product. It can also be vinyl ester or styrene-acrylic acid copolymer, but it is not limited to this. Methacrylic acid 15.5% to 17.9% is an important organic monomer, which is often used in the production of polymers and copolymers. For example, it can also be methyl methacrylate or butyl methacrylate, but it is not limited to this. Styrene 18.7% to 20.6% is a colorless oily liquid that can provide good mechanical properties and processing properties. For example, it can also be α-methylstyrene, but it is not limited to this. Sodium dodecyl sulfate is an anionic surfactant with strong detergency. For example, it can also be cocamidopropyl betaine or sodium lauryl ether sulfate, but it is not limited to this. Nonylphenol polyoxyethylene ether is a nonionic surfactant with good emulsifying and dispersing properties. For example, it can also be octylphenol polyoxyethylene ether or alkyl glycoside, but it is not limited to this. Phenylethyl phenyl ketone is an organic compound with a chemical formula of C8H8O. It is a colorless liquid with a sweet floral smell. For example, it can also be acetophenone or phenylethanol, but it is not limited to this. Ammonium persulfate is an inorganic compound with a chemical formula of (NH4)2S2O8. It is a strong oxidant that can be used for bleaching and disinfection. For example, it can also be potassium persulfate or hydrogen peroxide, but it is not limited to this. Azobisisobutyronitrile is an organic compound with a chemical formula of C6H12N4. It is a commonly used initiator. For example, it can also be di-tert-butyl peroxide or dibenzoyl peroxide, but it is not limited to this.

[0057] The special water-based oligomer provided in the present application has excellent adhesion and weather resistance by adding monomer raw materials (deionized water, acrylic acid, methacrylic acid and styrene), can improve the glossiness of the coating, while maintaining good flexibility, so that it exhibits excellent adhesion on various substrates; by using sodium dodecyl sulfate or nonylphenol polyoxyethylene ether as an emulsifier, the surface tension of the water-based oligomer can be effectively reduced, and its dispersibility and stability in water can be improved; phenyl ethyl phenyl ketone has a high initiation efficiency and good solubility, can ensure that the reaction proceeds smoothly in the aqueous system, and can provide stable free radicals under different temperature and pH conditions, thereby improving the controllability and repeatability of the polymerization reaction.

[0058] In the second aspect, the embodiment of the present application provides a method for preparing a special water-based oligomer, in which deionized water is added into a nitrogen protection environment, and an emulsifier is added and uniformly stirred to obtain an emulsified aqueous solution; acrylic acid, methacrylic acid and styrene are mixed to obtain a copolymer, and the copolymer is added into the emulsified aqueous solution for pre-emulsification treatment to obtain an emulsion, an initiator is added into the emulsion, and a polymerization reaction is carried out under the condition that polymerization conditions are met to obtain a special water-based oligomer emulsion; finally, the special water-based oligomer emulsion is cooled to obtain a special water-based oligomer; this method has simple operating steps, greatly reduces energy consumption, reduces production costs, reduces side reactions, improves the selectivity and yield of the reaction, and reduces the situation where the free radical generation and transfer process in the polymerization reaction is difficult to control and leads to poor stability of the emulsion, thereby improving the output and quality as a whole.

[0059] The special water-based oligomer preparation method provided in the embodiment of the present application can be applied to the special water-based oligomer preparation equipment. In this case, the special water-based oligomer preparation equipment is the executor of the special water-based oligomer preparation method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the special water-based oligomer preparation equipment.

[0060] For example, the special water-based oligomer preparation equipment includes a control device and a preparation device; the control device and the preparation device are connected in communication; the preparation device includes: a reactor, a stirring system, a temperature control system and a feeding system, etc.; wherein the reactor is used as the main reaction container to contain and mix raw materials, such as oligomer polyols and isocyanates, etc.; the stirring system may include a stirring motor (or a motor, etc.), a stirring shaft, a stirring blade, etc., which are used to fully mix and react the substances in the reactor; the temperature control system may include an electric heating coil, a sealer and a temperature detector, which are mainly used to accurately control the reaction temperature so that the polymerization reaction is carried out at a suitable temperature, and the sealer can make the reactor airtight during the reaction process to avoid volatilization or contamination of raw materials and products; the feeding system may include a filling container and a quantitative filling valve, which are used to accurately add various raw materials and additives to the reactor. The control device may be a console or control panel in the preparation workshop, etc., or a tablet computer, a laptop computer, a netbook, a desktop computer, a computing device, a computer, a laptop computer, etc.

[0061] In order to better understand the method for preparing the special water-based oligomer provided in the examples of the present application, the specific implementation process of the method for preparing the special water-based oligomer provided in the examples of the present application is exemplarily introduced below.

[0062] Figure 1 A schematic flow chart of a method for preparing a special water-based oligomer provided in an embodiment of the present application is shown. The method for preparing a special water-based oligomer comprises:

[0063] S100A, adding deionized water into a nitrogen protection environment, adding an emulsifier and stirring evenly to obtain an emulsified aqueous solution; wherein the nitrogen protection environment is used to indicate a preparation environment in which only nitrogen exists in the container.

[0064] It can be understood that the deionized water is added into the nitrogen protection environment, and the nitrogen protection environment can be a container without oxygen inside, such as a bottle or a barrel, but is not limited thereto.

[0065] In this configuration, nitrogen is an inert gas that can effectively prevent the intrusion of oxygen. The presence of oxygen may cause oxidation reactions of certain components in the emulsified aqueous solution, thereby affecting its stability and performance. Through nitrogen protection, the shelf life of the emulsified aqueous solution can be significantly extended to ensure that it remains in optimal condition during storage and use. The nitrogen protection environment helps to reduce the growth of microorganisms in the emulsified aqueous solution, thereby reducing the risk of contamination and ensuring the purity and safety of the product. Nitrogen protection also helps prevent the emulsified aqueous solution from foaming during preparation and storage. The formation of foam not only affects the uniformity of the solution, but may also cause damage to the equipment and inconvenience in operation. Therefore, the introduction of nitrogen can effectively disperse and inhibit the generation of foam, thereby improving production efficiency and product quality, and can also improve the reaction efficiency of the emulsified aqueous solution.

[0066] S200A, a copolymer obtained by mixing acrylic acid, methacrylic acid and styrene.

[0067] It can be understood that the copolymer is obtained by mixing acrylic acid, methacrylic acid and styrene, and acrylic acid, methacrylic acid and styrene can be added into a stirring device for stirring and mixing, and the stirring device can include a cavity, a heater, an agitator, etc. Among them, the cavity is used to hold the preparation raw materials such as acrylic acid, methacrylic acid and styrene, so that they react inside. The heater is located outside the reaction chamber, and is used to provide a heat source for the preparation raw materials inside the reaction chamber. The heater can provide heat energy by providing constant temperature water in contact with the outside of the reaction chamber, or by a heating element, and the heating element can be, for example, a heating wire or a heating plate, etc., which is provided by heat conduction with the outside of the cavity, etc., but is not limited to this. The agitator can be composed of a stirring rod and a transmission member. The stirring rod is located in the cavity, and is used to make the preparation raw materials in the cavity evenly mixed and fully reacted. The output end of the transmission member is connected to the stirring rod, and the stirring rod is used to stir. The transmission member can be a motor, a motor, etc., but is not limited to this.

[0068] S300A, adding the copolymer to an emulsified aqueous solution for pre-emulsification treatment to obtain an emulsion.

[0069] It can be understood that the copolymer is added to the emulsified aqueous solution and treated in the cavity to obtain the emulsion.

[0070] S400A, adding an initiator into the emulsion, carrying out a polymerization reaction when the polymerization conditions are met, and obtaining a special water-based oligomer emulsion.

[0071] It can be understood that the polymerization conditions can be conditions that meet the preparation, such as lighting requirements, lighting area requirements, etc., but are not limited thereto.

[0072] Such a setting not only improves the efficiency of the polymerization reaction, but also significantly improves the performance of the product. It can obtain oligomers with uniform molecular weight distribution, thereby giving the emulsion excellent stability and durability. Since the hydrophilicity and hydrophobicity of the oligomers are well balanced, the emulsion has good adhesion and film-forming properties on the surfaces of various substrates.

[0073] In one possible implementation, see Figure 2 , S400A, adding the initiator to the emulsion, carrying out polymerization reaction under the condition of satisfying the polymerization conditions, and obtaining a special water-based oligomer emulsion, including:

[0074] S410A, adding one or more of phenyl ethyl phenyl ketone, sodium lauryl sulfate and nonylphenol polyoxyethylene ether to the emulsion.

[0075] It can be understood that one or more of phenylethyl phenyl ketone, sodium dodecyl sulfate and nonylphenol polyoxyethylene ether can be added, and can be added according to actual preparation requirements, and can be added into the cavity.

[0076] Such a setting has a higher initiation efficiency and better solubility, can ensure that the reaction proceeds smoothly in the aqueous system, and can provide stable free radicals under different temperature and pH conditions, thereby improving the controllability and repeatability of the polymerization reaction.

[0077] S420A, adding a stabilizer into the emulsion and adjusting the pH value, carrying out a polymerization reaction at a heating temperature of 62°C to 68°C and controlling the intensity of ultraviolet light at 55 to 90 mW / cm2, and continuing the polymerization reaction for 3 to 5 hours to obtain a special water-based oligomer emulsion.

[0078] It is understood that the heating temperature is 62°C to 68°C, and the heating can be performed by ultraviolet light or by a heater, and the heater can be a heating wire or a heating belt, etc., but is not limited thereto. The intensity of ultraviolet light is controlled at 55 to 90 mW / cm2, and each cm2 has an ultraviolet light intensity of 55 to 90.

[0079] Such a setting has low energy consumption and meets the requirements of environmental protection and energy saving. By precisely controlling the pH value and ultraviolet light intensity, the stability of the polymerization reaction is significantly improved, thereby ensuring the uniformity and quality of the emulsion. It has excellent film-forming properties, good energy stability, long storage time, and is not prone to stratification and deterioration, providing great convenience for production and application.

[0080] In a possible implementation, the pH value of the emulsion is adjusted to 6.8-7.4.

[0081] In this way, the pH value of the emulsion is adjusted to 6.8-7.4, which can make the emulsion have good stability and lubrication performance during use. If the pH value is higher than 7.4 or lower than 6.8, the emulsion is easy to deteriorate, produce odor, and even cause equipment corrosion, affecting the stability of the emulsion.

[0082] S500A, cools the special water-based oligomer emulsion to obtain the special water-based oligomer.

[0083] It is understood that the special water-based oligomer emulsion can be cooled by natural cooling or forced cooling. Natural cooling is to place the special water-based oligomer emulsion at room temperature and allow it to gradually cool down to ambient temperature. Forced cooling is to accelerate the cooling process by cooling equipment, such as a cooling jacket or a refrigerator. Among them, the refrigerator can be a component with refrigeration capacity such as a fan, an air conditioner, etc., but is not limited thereto.

[0084] In one possible implementation, see Figure 3 , the method further comprises:

[0085] S100, obtaining preparation requirement data of special water-based oligomers; wherein the preparation requirement data is used to indicate the use performance that the special water-based oligomers need to meet and the standard parameters corresponding to the use performance.

[0086] For example, by consulting relevant academic papers, patents, technical reports and other literature, one can understand the current research progress, preparation methods and performance parameters of special water-based oligomers. It can also be obtained from experiments in the laboratory; laboratory experiments can be carried out by designing and conducting synthesis experiments, changing reaction conditions (such as temperature, time, catalyst type and dosage, etc.), observing the impact on the performance of oligomers, and using analytical instruments to characterize the structure and molecular weight distribution of oligomers. The analytical instrument can be one of nuclear magnetic resonance, infrared spectroscopy or gel permeation chromatography, which can determine the optimal preparation conditions; it can also be simulated by computer: molecular simulation software is used to simulate the oligomer synthesis process and predict the reaction path and product structure. Molecular simulation software can use, for example, Materials Studio or Gaussian;

[0087] S200, generating predicted preparation data according to the preparation demand data; wherein the predicted preparation data is used to reflect the predicted preparation flow and predicted preparation process for preparing the special water-based oligomer.

[0088] Exemplarily, by analyzing the preparation demand data, the predicted preparation data can be obtained after analyzing the use performance that the special water-based oligomer needs to meet; analyzing the preparation demand data is to analyze the use performance that the special water-based oligomer needs to meet, and obtain the standard parameters corresponding to the use performance, and match the predicted preparation process and predicted preparation technology corresponding to the special water-based oligomer according to the standard parameters to generate predicted preparation data; historical preparation data for preparing special water-based oligomers can also be collected and sorted. Historical preparation data includes key parameters such as the type, ratio, reaction temperature, reaction time, and stirring speed of raw materials. By analyzing these historical data, key factors affecting the preparation process can be identified. For example, multiple linear regression can be used for analysis; matching the predicted preparation process and predicted preparation technology corresponding to the special water-based oligomer can be matched through a database, and the database can be a library for storing historical data.

[0089] In a possible implementation, S200, generating predicted preparation data according to preparation demand data, includes:

[0090] S210, selecting a preparation process method according to the use performance indicated by the preparation requirement data, and obtaining a plurality of process data; wherein the process data is used to reflect the preparation process that meets the use performance.

[0091] It can be understood that a preparation process that meets the performance requirements can be selected from multiple preparation processes to obtain multiple process data; selecting a preparation process that meets the performance requirements can be screening multiple preparation processes. The screening method can be to verify the feasibility of each process through experiments so that they can achieve the expected results in actual operations. During the experiment, the key parameters of each process, such as temperature, pressure, time, and raw material ratio, are recorded. For example, computer simulation technology, such as finite element analysis or computational fluid dynamics, can also be used to simulate the preparation process. The simulation results can reveal possible problems in the process, such as uneven temperature distribution and stress concentration.

[0092] S220, selecting a preparation process method according to the use performance indicated by the preparation requirement data, and obtaining a plurality of process data; wherein the process data is used to reflect the preparation process that meets the use performance.

[0093] Exemplarily, it may be to select a preparation process that meets the performance requirements from a plurality of preparation processes, thereby obtaining a plurality of process data; selecting a preparation process that meets the performance requirements may be to screen a plurality of preparation processes. The screening method may be to verify the feasibility of each process through experiments so that they can achieve the expected results in actual operations. A plurality of process data may be obtained through analysis methods, and the analysis methods may include numerical simulation, experimental testing, and theoretical calculation. For example, during preparation, the effects of different proportions and process parameters on material properties may be analyzed through numerical simulation, several samples may be prepared in the laboratory, and process data may be obtained through experimental methods such as tensile testing, impact testing, and thermal analysis, and the process parameters may be further optimized so that the performance of the final product reaches the expected target.

[0094] S230, obtaining predicted preparation data according to the plurality of process data and the plurality of process data.

[0095] It can be understood that multiple process data and multiple process data can be optimized to obtain predicted preparation data; when optimizing, parameters such as temperature, pressure, flow, component concentration, equipment operation status, etc. can be collected and integrated to compare data and select the best one compared with others; cluster analysis can be used to reduce the dimension and extract features of data. Time series analysis methods, such as autoregressive moving average models, can also be used to predict process parameters at a certain point in the future, providing a basis for production scheduling and resource allocation.

[0096] In a possible implementation, S230, obtaining predicted preparation data according to the plurality of process data and the plurality of process data, includes:

[0097] S231, obtaining process scoring standard data and process scoring standard data; wherein the process scoring standard data is used to indicate the process evaluation method and the process scoring standard value, and the process scoring standard data is used to indicate the process evaluation method and the process scoring standard value.

[0098] For example, it can be done by obtaining process scoring standard data and process scoring standard data from a database; the database can be a storage of various performance standards in the history; it can also be searched in the preparation standard system, which can be a shared system on the Internet or a company-established system of various preparation-specific standards for reference of process evaluation methods and process scoring standard values, as well as process evaluation methods and process scoring standard values.

[0099] S232, respectively analyzing and evaluating the plurality of process data according to the process evaluation method, and determining process scoring data for each process data; wherein the process scoring data is used to indicate a scoring value obtained by the process data.

[0100] It can be understood that the evaluation analysis may be to evaluate a plurality of process data through a scoring system to determine process scoring data for each process data;

[0101] Exemplarily, judging multiple process data can be by scoring the advantages of each process, and can also be integrated with weighted scoring, such as scoring the advantages of the process for the size of the role it can play in the preparation; for example, the scoring system can be achieved by establishing a quantitative scoring table or scoring system, and through the key indicators of each process, such as time efficiency, cost control, quality assurance, etc., a score range is set for each indicator, such as 0 to 10 points, 0 points means that the process performs extremely poorly on this indicator, and 10 points means excellent performance; weight coefficients can also be introduced, and the weight coefficients reflect the importance of each indicator in the overall process; the weight coefficients can be determined by methods such as expert scoring, historical data analysis, or the Delphi method.

[0102] In this way, the establishment of a scoring system not only helps to identify the strengths of each process, but also reveals potential areas for improvement. By sorting the overall scores of each process, priority attention can be given to processes with lower scores and corresponding improvement measures can be formulated.

[0103] S233, comparing each process scoring data with the process scoring standard value, and retaining at least one process scoring data that is higher than the process scoring standard value.

[0104] It can be understood that retaining at least one process scoring data higher than the process scoring standard value can be understood as comparing the scoring value indicated in each process scoring data with the process scoring standard value, and retaining the process scoring data larger than the process scoring standard value, so as to obtain at least one process scoring data higher than the process scoring standard value;

[0105] For example, the comparison can be performed by comparing numerical values ​​to determine whether the process scoring data is greater than the process scoring standard value; or by filtering out process scoring data that is less than the process scoring standard value, and the remaining process scoring data that is not filtered out is the process scoring data that is greater than the process scoring standard value.

[0106] S234, respectively evaluating and analyzing the plurality of process data according to the process evaluation method, and determining process scoring data for each process data; wherein the process scoring data is used to indicate a scoring value obtained by the process data.

[0107] It can be understood that the evaluation analysis may be to evaluate a plurality of process data through a scoring system to determine the process scoring data of each process data;

[0108] Exemplarily, judging multiple process data may be by scoring the advantages of each process, and may also be integrated with weighted scoring, for example, scoring the advantages of the process for the size of the role it can play in the preparation; for example, the scoring system may be implemented by establishing a quantitative scoring table or scoring system, and by using key indicators of each process, such as time efficiency, quality status, etc., a score range is set for each indicator, such as 0 to 10 points, 0 points indicating that the process performs extremely poorly on the indicator, and 10 points indicating excellent performance; weight coefficients may also be introduced, and the weight coefficients reflect the importance of each indicator in the overall process; the weight coefficients may be determined by methods such as expert scoring, historical data analysis, or the Delphi method.

[0109] S235, comparing each process scoring data with the process scoring standard value, and retaining at least one process scoring data that is higher than the process scoring standard value.

[0110] It can be understood that retaining at least one process scoring data higher than the process scoring standard value can be understood as comparing the scoring value indicated in each process scoring data with the process scoring standard value, and retaining the process scoring data larger than the process scoring standard value, so as to obtain at least one process scoring data higher than the process scoring standard value;

[0111] Exemplarily, the comparison can be performed by comparing numerical values ​​to determine whether the process scoring data is greater than the process scoring standard value; or by screening out process scoring data that is less than the process scoring standard value, and the remaining process scoring data that is not screened out is the process scoring data that is greater than the process scoring standard value.

[0112] S236, randomly and optimally combining at least one process scoring data higher than the process scoring standard value and at least one process scoring data higher than the process scoring standard value to obtain predicted preparation data.

[0113] It can be understood that the random optimal combination can be understood as obtaining multiple groups of combinations through a random combination method, and selecting the optimal combination from the multiple groups of combinations.

[0114] Exemplarily, multiple process score data higher than the process score standard value and multiple process score data higher than the process score standard value are randomly combined into multiple groups, and the multiple groups of combinations are analyzed to obtain predicted preparation data; the random optimal combination can be realized by using the Monte Carlo simulation method, by setting random variables, simulating the predicted preparation data under different process and process score combinations, and a large number of simulation experiments can be used to screen out the optimal combination that meets the conditions. The analysis of multiple groups of combinations to obtain predicted preparation data can also be analyzed by support vector machine and random forest analysis methods to obtain predicted preparation data.

[0115] S300, simulating the predicted preparation data to obtain preparation simulation data; wherein the preparation simulation data is used to indicate the performance parameters of the special water-based oligomer prepared according to the preparation process and preparation technology.

[0116] It can be understood that the simulation can be performed by simulating the predicted preparation data through simulation software, or it can be performed by simulating through experiments to obtain preparation simulation data.

[0117] Exemplarily, the simulation of the predicted preparation data can be performed by constructing a mathematical model that can reflect the key variables and parameters in the preparation process of the special waterborne oligomer, including but not limited to reaction temperature, pressure, time, raw material ratio, and the type and amount of catalyst, and simulating the performance parameters under different preparation conditions through the combination of these variables; or after the model is constructed, a simulation experiment is performed using computer simulation technology, and corresponding performance parameters such as molecular weight distribution, viscosity, stability, etc. are output according to different preparation conditions. The analysis method can be gel permeation chromatography for determining molecular weight distribution, rotational viscometer for determining viscosity, and thermogravimetric analysis and differential scanning calorimetry for evaluating thermal stability.

[0118] S400, determining actual preparation data according to the preparation simulation data and the preparation requirement data; wherein the actual preparation data is used to indicate the preparation flow obtained after optimization and adjustment and the adjusted preparation process.

[0119] Exemplarily, by optimizing and adjusting the preparation simulation data and the preparation demand data, after obtaining the optimized and adjusted preparation process and preparation technology, the actual preparation data can be obtained. Wherein, in the process of obtaining the actual preparation data, it can be by collecting and arranging the preparation simulation data and the preparation demand data. Collecting and arranging the preparation simulation data and the preparation demand data can be obtained by early experimental simulation, including simulation results under various conditions, such as temperature, pressure, time, raw material ratio, etc. It can be identified which parameters need to be optimized. For example, if the simulation data show that the reaction rate is slow at a certain temperature, and the demand data requires high yield, the reaction temperature may need to be adjusted. Through such comparative analysis, the parameter range can be gradually narrowed to determine the direction of optimization and adjustment.

[0120] In one possible implementation, see Figure 5 , S400, determining actual preparation data according to the preparation simulation data and the preparation requirement data, including:

[0121] S410, comparing the standard parameters indicated by the preparation simulation data and the performance parameters indicated by the preparation requirement data to obtain parameter comparison results; wherein the parameter comparison results are used to reflect the comparison between the standard parameters and the performance parameters.

[0122] It can be understood that the comparison between the standard parameters and the performance parameters can be the parameter difference between the standard parameters and the performance parameters; the standard parameters indicated by the preparation simulation data and the performance parameters indicated by the preparation requirement data are compared, so as to obtain the difference between the preparation simulation data and the preparation requirement data, and obtain the difference result, which can be the difference value or the difference state, that is, the parameter comparison result.

[0123] Exemplarily, the standard parameters indicated by the preparation simulation data and the performance parameters indicated by the preparation demand data are compared. The comparison can collect and organize data including but not limited to the source of the data, the method of collecting the data, the format of the data and the accuracy of the data. When arranging the data, the data should be comparable, that is, compared under the same conditions. For example, if the standard parameters are measured at a specific temperature and pressure, then the performance parameters should also be collected under the same conditions. A variety of methods can be used to obtain parameter comparison results, which can be based on standard deviations, coefficients of variation, etc., to quantify the differences between standard parameters and performance parameters. Graphical methods can also be used, such as drawing box plots or scatter plots, to intuitively display the distribution and discreteness of the two sets of data to obtain results.

[0124] S420, if the parameter comparison result is that the performance parameter is less than the standard parameter, the predicted preparation process indicated by the predicted preparation data is optimized and adjusted to obtain actual preparation process data; wherein the actual preparation process data is used to reflect the preparation process that can be actually applied after the predicted preparation process is optimized and adjusted.

[0125] For example, the parameter comparison result can be compared with the standard parameter and is smaller than the standard parameter, and the actual preparation process data can be obtained by optimizing the predicted preparation process. For example, the comparison can be performed using the size of the parameter; the process optimization adjustment of the predicted preparation process can be performed by introducing data analysis technology to monitor and analyze the key parameters in the preparation process in real time; for example, the data analysis technology can be a machine learning algorithm that can learn from historical data to predict the best preparation conditions.

[0126] In one possible implementation, see Figure 6 , S420, if the parameter comparison result is that the performance parameter is less than the standard parameter, the predicted preparation process indicated by the predicted preparation data is optimized and adjusted to obtain actual preparation process data, including:

[0127] S421, if the parameter comparison result is that the performance parameter is less than the standard parameter, obtain ideal process data; wherein the ideal process data is used to indicate the input sequence of monomer raw materials, output mixture, operating conditions and multiple required reaction times under ideal conditions.

[0128] Exemplarily, after comparing the parameter comparison result with the standard parameter, if the parameter comparison result is less than the standard parameter, the ideal process data can be obtained. For example, the acquisition method can be to obtain the ideal process data by obtaining the input sequence, output mixture, operating conditions and multiple required reaction times of the monomer raw materials that meet the performance requirements in the historical preparation process; it can also be obtained by testing the input sequence, output mixture, operating conditions and multiple required reaction times of the monomer raw materials in the laboratory to obtain the ideal process data; it can also be extracted from the ideal process library, which can be established by the company according to the implementation situation, and the ideal process library is used to store the standard input sequence, output mixture, operating conditions and multiple required reaction times of the monomer raw materials that meet the requirements.

[0129] S422, decomposing the predicted preparation process indicated by the predicted preparation data to obtain a plurality of sub-process data; wherein the sub-process data is used to indicate a single preparation process.

[0130] It can be understood that a single preparation process can be understood as a sub-step in the overall step.

[0131] Exemplarily, the forecast preparation process indicated by the forecast preparation data can be decomposed into several key stages, such as data collection, data cleaning, feature selection, etc. Among them, each key stage can be refined to determine the specific content of its sub-process. For example, in the data collection stage, the sub-process may include data source identification, data collection method selection, and data acquisition time arrangement. By collecting historical data, using statistical analysis and machine learning methods, identify the key factors and patterns that affect the forecast preparation process. For example, use cluster analysis to identify outliers in the data or use regression analysis to predict the time required for data preparation.

[0132] S423, determining at least one key sub-process data based on multiple sub-process data, and after analyzing at least one key sub-process data, marking the input sequence of monomer raw materials, output mixture, operating conditions and multiple required reaction times corresponding to each sub-process data.

[0133] Exemplarily, at least one key sub-process data is determined, and the data of each sub-process can be collected and sorted after the overall correspondence with the entire production process, such as raw material consumption, generation of intermediate products, generation of by-products, and quality indicators of the final product, etc., so that the sub-process with the greatest impact on the entire production process, i.e., the key sub-process, can be identified. These key sub-process data are analyzed in depth. For example, the analysis method can include one of statistical analysis, trend analysis, and causal analysis. For example, through statistical analysis, the average reaction time, standard deviation and other indicators of each sub-process can be calculated to judge its stability. For example, in the analysis process, data mining techniques such as cluster analysis or association rule mining can also be used to identify the potential relationship between data. Marking the input sequence, output mixture, operating conditions and multiple required reaction times of the monomer raw materials corresponding to each sub-process data can be achieved by establishing a detailed flow chart. The flow chart can include the name and number of each sub-process, the input-output relationship, operating conditions and reaction time of each sub-process, and can clearly identify the key sub-processes and optimize them, which not only helps to improve production efficiency, but also makes the stability of product quality and the sustainability of the production process.

[0134] S424, comparing and adjusting the input sequence of monomer raw materials, output mixture, operating conditions and multiple required reaction times corresponding to each sub-process data and the ideal process data to determine the actual preparation process data.

[0135] Exemplarily, each sub-process can be analyzed, including combing the input sequence of monomer raw materials, so that the order of adding raw materials meets the mechanism and kinetic requirements of chemical reactions, and the composition and properties of the output mixture are made to meet the expected product specifications. The operating conditions can be the precise control of parameters such as temperature, pressure, stirring speed, reaction time, etc. Through experiments and simulations, the best operating conditions can be found to improve the conversion rate and selectivity of the reaction while reducing the occurrence of side reactions. The input sequence of monomer raw materials, the output mixture, the operating conditions and the multiple required reaction times and the ideal process data can be compared and adjusted to find out the differences, and by adjusting the operating conditions, such as temperature, pressure or raw material ratio, the gap between the ideal data and the actual data can be gradually narrowed. In addition, it is also necessary to consider the limitations of the equipment and the feasibility of the operation, so that the process is operable and economical.

[0136] In a possible implementation, the method further includes:

[0137] If the parameter comparison result is that the performance parameter is greater than the standard parameter, the predicted preparation flow and predicted preparation process indicated by the predicted preparation data are determined as the actual preparation data.

[0138] Exemplarily, after comparing the parameter comparison results with the standard parameters, if the parameter comparison results are greater than the standard parameters, the predicted preparation process and predicted preparation technology indicated by the predicted preparation data can be used as the optimal parameters, and the predicted preparation process and predicted preparation technology can be considered to meet the requirements, that is, they can be directly determined as actual preparation data.

[0139] S430, optimizing and adjusting the predicted preparation process indicated by the predicted preparation data to obtain actual preparation process data; wherein the actual preparation process data is used to reflect the preparation process that can be actually applied after optimizing and adjusting the predicted preparation process.

[0140] It can be understood that the practically applicable preparation process may be a preparation process method that can be directly used in the preparation.

[0141] Exemplarily, to optimize the process of the predicted preparation process indicated by the predicted preparation data, the predicted data can be analyzed first, and then the key variables can be adjusted by the experimental design method, and the experimental data can be collected and analyzed to determine the best combination of process parameters for process performance. For example, the analysis of the predicted data can be to analyze the key variables, which can be temperature, pressure, time, raw material ratio, etc., and it can be determined through sensitivity analysis which parameters are most sensitive to the process results, so as to determine the priority of optimization. DOE is a statistical method that can evaluate the impact of multiple variables on the results through a small number of experiments. By constructing an experimental matrix, covering different combinations of key variables, a comprehensive understanding of the impact on process performance is obtained.

[0142] In one possible implementation, see Figure 7 , S430, optimizing and adjusting the predicted preparation process indicated by the predicted preparation data to obtain actual preparation process data, including:

[0143] S431, according to the predicted preparation process indicated by the predicted preparation data, a plurality of ultraviolet light wavelength length data from ultraviolet light to a nitrogen protection environment are obtained; wherein the ultraviolet light wavelength length data is used to indicate the length value of the ultraviolet light wave.

[0144] Exemplarily, the acquisition of multiple ultraviolet light wavelength data in a nitrogen protection environment can be performed through computer simulation software or through experimental equipment. When the experimental equipment is used for acquisition, the ultraviolet light source should be able to generate stable ultraviolet light, and the spectrometer should have high resolution to accurately measure ultraviolet light of different wavelengths. The nitrogen supply system can work normally to maintain the nitrogen concentration in the experimental environment, wherein the role of nitrogen is to prevent ultraviolet light from reacting with oxygen and water vapor in the air, thereby ensuring the accuracy of the data. The output power of the ultraviolet light source is adjusted to a predetermined level, and the spectrum data of the ultraviolet light is collected. In a nitrogen protection environment, the wavelength setting of the ultraviolet light source is gradually changed, and the spectrum data at different wavelengths are recorded. After each wavelength adjustment, data collection is performed after stabilization to obtain multiple ultraviolet light wavelength data.

[0145] S432, calculating each ultraviolet light wavelength data, calculating the mean and median of each performance index at each wavelength, and determining the central trend data of the wavelength.

[0146] It can be understood that the mean is the sum of all measured values ​​divided by the number of measurements, which can reflect the overall level of performance indicators at the wavelength. The median is the value in the middle after all measured values ​​are arranged in order of size. The median is not sensitive to outliers and can better reflect the central trend of the data, especially when the data distribution is uneven.

[0147] For example, it can be done by obtaining standard samples that exhibit different reactions at known wavelengths. For example, for photocatalytic materials, its light absorption rate, quantum efficiency and lifetime of photogenerated carriers at different wavelengths can be measured; a spectrometer can be used to accurately measure each wavelength of ultraviolet light, and parameters such as light intensity and energy distribution at each wavelength can be recorded. These data can be input into the analysis software to calculate the mean and median of various performance indicators at each wavelength.

[0148] S433, using standard deviation and variance to analyze the degree of dispersion of the central trend data, and then using normality test to determine whether the central trend data conforms to normal distribution.

[0149] It can be understood that the degree of dispersion is a measure that describes the distribution range and central tendency of a set of data, which can help understand the degree of difference between data points and thus evaluate the stability and reliability of the data. The normal distribution is a symmetrical bell-shaped curve whose shape is determined by the mean and standard deviation.

[0150] Exemplarily, the standard deviation and variance are used to analyze the degree of dispersion of the central tendency data, which can be done through the range, interquartile range, variance or standard deviation, etc. The normality test can be used to determine whether the central tendency data conforms to the normal distribution by drawing a histogram of the data and observing whether it presents the shape of a bell curve. It can also be done by comparing the quantiles of the data with the quantiles of the normal distribution. If the points fall roughly on a straight line, the data conforms to the normal distribution.

[0151] S434, if the central trend data does not conform to the normal distribution, the differences of various performance indicators at different wavelengths are compared according to non-parametric tests to determine the actual preparation process data.

[0152] Exemplarily, in the case where the central trend data does not conform to the normal distribution, the differences in various performance indicators at different wavelengths are compared by using non-parametric test methods. For example, the non-parametric test method can be used to compare whether there is a significant difference in the median of two independent samples through the Mann-Whitney U test. For example, in the analysis of actual preparation process data, the performance indicator data at different wavelengths can be sorted into two groups of independent samples, and then the rank of each group of data is calculated, the U statistic is calculated according to the rank, and the corresponding P value is obtained by looking up a table or using statistical software; for example, if the P value is less than a pre-set significance level (e.g., 0.05), it is considered that there is a significant difference in the performance indicators at the two wavelengths; among them, for comparisons of more than two samples, such as performance indicators at different wavelengths, the Kruskal-Wallis test can be used.

[0153] Such a setting can improve work efficiency, reduce unnecessary repetitive work, optimize processes, improve overall work performance, help reduce error rates, and make information accurate and reliable.

[0154] S440, obtaining actual preparation data according to the actual preparation process data and the actual preparation technology data.

[0155] Exemplarily, the actual preparation process data and the actual preparation process data are analyzed to obtain the actual preparation data. For example, the analysis method can be statistical analysis, which can identify patterns, trends and outliers in the data. For example, statistics such as mean, standard deviation, variance, etc. can be used to describe the central tendency and dispersion of the data; regression analysis can also be applied to explore the relationship between different variables, so as to predict the impact of changes in key parameters in the preparation process on the quality of the final product. In addition to this, in addition to statistical analysis, for example, cluster analysis can be used to group similar preparation batches to identify which batches have the best performance.

[0156] S500, prepares special water-based oligomers based on actual preparation data.

[0157] Exemplarily, in the process of preparing special water-based oligomers, according to the description in the above embodiments, the optimized and adjusted monomers and initiators can be used as the first choice. For example, if it is necessary to prepare a water-based polyurethane with excellent water resistance and adhesion, isocyanate and polyol can be selected as the main reactants. In the selection of monomers, their water solubility must also be considered so that the final product can be stably dispersed in water. Among them, in the preparation process, solution polymerization or emulsion polymerization can be used. In solution polymerization, monomers and initiators are dissolved in a suitable solvent, and the progress of the polymerization reaction is controlled by controlling the reaction temperature and time; while in emulsion polymerization, monomers form an emulsion in the aqueous phase through the action of an emulsifier, and the initiator initiates the polymerization reaction in the aqueous phase to generate water-based oligomers. Analytical methods can also be used to monitor the preparation process and characterize the final product to improve the performance of the prepared special water-based oligomers. For example, the analytical method can use gel permeation chromatography to analyze the molecular weight and distribution of the oligomer, so that the product has an appropriate molecular weight to meet the application requirements. In addition, the chemical structure of the oligomer can be confirmed by Fourier transform infrared spectroscopy analysis, so that the reaction can proceed according to the expected goal.

[0158] With such a setting, the prepared special water-based oligomer has improved chemical resistance and weather resistance, improved overall performance, and can prevent aggregation and precipitation of latex particles, thereby preparing special water-based oligomers with excellent performance to meet the needs of different application fields. The operation steps are simple and convenient, and the situation in which unstable reaction rate and long reaction time affect the stability of the emulsion is reduced, thereby improving the use effect of the prepared water-based oligomer.

[0159] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0160] Corresponding to the method for preparing special water-based oligomers described in the above embodiment, the embodiment of the present application also provides a system for preparing special water-based oligomers, and each module of the system can realize each step of the method for preparing special water-based oligomers. Figure 8 The structural block diagram of the special water-based oligomer preparation system provided in the embodiment of the present application is shown. For the convenience of explanation, only the part related to the embodiment of the present application is shown.

[0161] Reference Figure 8 , the special waterborne oligomer preparation system includes:

[0162] An acquisition unit is used to acquire preparation requirement data of a special water-based oligomer; wherein the preparation requirement data is used to indicate the use performance that the special water-based oligomer needs to meet and the standard parameters corresponding to the use performance;

[0163] A prediction unit, used to generate predicted preparation data according to the preparation demand data; wherein the predicted preparation data is used to reflect the predicted preparation process and predicted preparation technology for preparing the special water-based oligomer;

[0164] A simulation unit, used to simulate the predicted preparation data to obtain preparation simulation data; wherein the preparation simulation data is used to indicate the performance parameters of the special water-based oligomer prepared according to the preparation process and preparation technology;

[0165] A result unit is used to determine actual preparation data according to the preparation simulation data and the preparation requirement data; wherein the actual preparation data is used to indicate the preparation process obtained after optimization and adjustment and the adjusted preparation process;

[0166] The preparation unit is used to prepare special waterborne oligomers based on actual preparation data.

[0167] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0168] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0169] The present application also provides a special water-based oligomer preparation device, Fig. 9 This is a schematic diagram of the structure of a control device for a special water-based oligomer preparation device provided in one embodiment of the present application. Fig. 9 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Fig. 9 Only one is shown), at least one memory 61 ( Fig. 9Only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, when the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above-mentioned embodiments of the method for preparing special water-based oligomers, or the control device 6 implements the functions of each module / unit in the above-mentioned device embodiments.

[0170] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0171] The control device 6 may be a computing device such as a desktop computer, a notebook, or a handheld computer. The control device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Fig. 9 It is only an example of the control device 6 and does not constitute a limitation on the control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0172] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0173] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0174] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0175] The embodiment of the present application provides a computer program product. When the computer program product is run on a special water-based oligomer preparation device, the special water-based oligomer preparation device is enabled to implement the steps in any of the above-mentioned method embodiments.

[0176] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the special water-based oligomer preparation equipment, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0177] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0178] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0179] In the embodiments provided in the present application, it should be understood that the disclosed special water-based oligomer preparation system, equipment and method can be implemented in other ways. For example, the above-described special water-based oligomer preparation equipment embodiment is only schematic, for example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0180] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0181] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A special water-based oligomer, characterized in that: 100% by weight, including: Monomer raw material 78%~90%; Emulsifier 0.9%~8.5%; Initiator 1.5% to 9%; Stabilizer 2% to 7%; Wherein, the monomer raw material includes the following components: Deionized water 27% to 31.9%; Acrylic acid 16.8%~19.6%; Methacrylic acid 15.5% to 17.9%; Styrene 18.7% to 20.6%; Wherein, the emulsifier includes sodium dodecyl sulfate or nonylphenol polyoxyethylene ether, and its weight proportion is 0.9% to 8.5%; Wherein, the initiator includes phenylethyl phenyl ketone, ammonium persulfate or azobisisobutyronitrile, and its weight proportion is 1.5% to 9%.

2. A method for preparing a special water-based oligomer, characterized in that: For preparing the special water-based oligomer according to claim 1, the preparation method of the special water-based oligomer comprises: Add deionized water into a nitrogen protection environment, add an emulsifier and stir evenly to obtain an emulsified aqueous solution; wherein the nitrogen protection environment is used to indicate a preparation environment in which only nitrogen exists in the container; The copolymer is obtained by mixing acrylic acid, methacrylic acid and styrene; adding the copolymer into an emulsified aqueous solution for pre-emulsification treatment to obtain an emulsion; Adding an initiator to the emulsion, and carrying out a polymerization reaction under the condition that polymerization conditions are met, to obtain a special water-based oligomer emulsion; The special water-based oligomer emulsion is cooled to obtain the special water-based oligomer.

3. The method for preparing a special water-based oligomer according to claim 2, characterized in that: The initiator is added to the emulsion, and a polymerization reaction is carried out under the condition that the polymerization conditions are met to obtain a special water-based oligomer emulsion, including: adding one or more of phenyl ethyl phenyl ketone, sodium lauryl sulfate and nonylphenol polyoxyethylene ether to the emulsion; A stabilizer is added into the emulsion, and the pH value is adjusted. A polymerization reaction is carried out at a heating temperature of 62° C. to 68° C. and an ultraviolet light intensity of 55 to 90 mW / cm2. The polymerization reaction is continued for 3 to 5 hours to obtain a special water-based oligomer emulsion.

4. The method for preparing a special water-based oligomer according to claim 3, characterized in that: The pH value of the emulsion is adjusted to 6.8-7.

4.

5. The method for preparing a special water-based oligomer according to claim 4, characterized in that: The method further comprises: Acquiring preparation requirement data of special water-based oligomers; wherein the preparation requirement data is used to indicate the use performance that the special water-based oligomers need to meet and the standard parameters corresponding to the use performance; Generate predicted preparation data according to the preparation demand data; wherein the predicted preparation data is used to reflect the predicted preparation process and predicted preparation technology for preparing the special water-based oligomer; Simulating the predicted preparation data to obtain preparation simulation data; wherein the preparation simulation data is used to indicate performance parameters of the special water-based oligomer prepared according to the preparation process and the preparation technology; Determining actual preparation data according to the preparation simulation data and the preparation requirement data; wherein the actual preparation data is used to indicate the preparation process obtained after optimization and adjustment and the adjusted preparation process; Special water-based oligomers are prepared based on the actual preparation data.

6. The method for preparing a special water-based oligomer according to claim 5, characterized in that: The generating the predicted preparation data according to the preparation demand data comprises: Selecting a preparation process method according to the usage performance indicated by the preparation requirement data to obtain a plurality of process data; wherein the process data is used to reflect the preparation process that meets the usage performance; Selecting a preparation process method according to the use performance indicated by the preparation requirement data to obtain a plurality of process data; wherein the process data is used to reflect the preparation process that meets the use performance; The predicted preparation data is obtained according to the plurality of process data and the plurality of process data.

7. The method for preparing a special water-based oligomer according to claim 6, characterized in that: The step of obtaining the predicted preparation data according to the plurality of process data and the plurality of process data comprises: Acquire process scoring standard data and process scoring standard data; wherein the process scoring standard data is used to indicate the process evaluation method and the process scoring standard value, and the process scoring standard data is used to indicate the process evaluation method and the process scoring standard value; According to the process evaluation method, the plurality of process data are evaluated and analyzed respectively to determine process scoring data of each process data; wherein the process scoring data is used to indicate the scoring value obtained by the process data; Comparing each of the process scoring data with the process scoring standard value, and retaining at least one of the process scoring data having a value higher than the process scoring standard value; According to the process evaluation method, the plurality of process data are evaluated and analyzed respectively to determine process scoring data for each process data; wherein the process scoring data is used to indicate the scoring value obtained by the process data; Comparing each of the process scoring data with the process scoring standard value, and retaining at least one of the process scoring data that is higher than the process scoring standard value; At least one of the process scoring data having a value higher than the process scoring standard and at least one of the process scoring data having a value higher than the process scoring standard are randomly and optimally combined to obtain the predicted preparation data.

8. The method for preparing a special water-based oligomer according to claim 5, characterized in that: The determining the actual preparation data according to the preparation simulation data and the preparation requirement data comprises: Comparing the standard parameter indicated by the preparation simulation data with the performance parameter indicated by the preparation requirement data to obtain a parameter comparison result; wherein the parameter comparison result is used to reflect the comparison between the standard parameter and the performance parameter; If the parameter comparison result is that the performance parameter is less than the standard parameter, the predicted preparation process indicated by the predicted preparation data is optimized and adjusted to obtain actual preparation process data; wherein the actual preparation process data is used to reflect the preparation process that can be actually applied after the predicted preparation process is optimized and adjusted; Performing process optimization and adjustment on the predicted preparation process indicated by the predicted preparation data to obtain actual preparation process data; wherein the actual preparation process data is used to reflect the preparation process that can be actually applied after the predicted preparation process is optimized and adjusted; Obtaining the actual preparation data according to the actual preparation process data and the actual preparation process data; And / or, if the parameter comparison result is that the performance parameter is less than the standard parameter, the predicted preparation process indicated by the predicted preparation data is optimized and adjusted to obtain actual preparation process data, including: If the parameter comparison result is that the performance parameter is less than the standard parameter, ideal process data is obtained; wherein the ideal process data is used to indicate the input sequence of monomer raw materials, output mixture, operating conditions and multiple required reaction times under ideal conditions; Decomposing the predicted preparation process indicated by the predicted preparation data to obtain a plurality of sub-process data; wherein the sub-process data is used to indicate a single preparation process; Determine at least one key sub-process data according to the plurality of sub-process data, and after analyzing the at least one key sub-process data, mark the input sequence of monomer raw materials, output mixture, operating conditions and a plurality of required reaction times corresponding to each sub-process data; The actual preparation process data is determined by comparing and adjusting the input sequence of monomer raw materials, output mixture, operating conditions and multiple required reaction times corresponding to each sub-process data with the ideal process data.

9. The method for preparing a special water-based oligomer according to claim 8, characterized in that: The step of optimizing and adjusting the predicted preparation process indicated by the predicted preparation data to obtain actual preparation process data includes: According to the predicted preparation process indicated by the predicted preparation data, a plurality of ultraviolet light wave length data from ultraviolet light to a nitrogen protection environment are obtained; wherein the ultraviolet light wave length data is used to indicate a length value of an ultraviolet light wave; Calculating each of the ultraviolet light wavelength data, calculating the mean and median of each performance index at each wavelength, and determining the central trend data of the wavelength; The central tendency data are analyzed for dispersion using standard deviation and variance, and then a normality test is used to determine whether the central tendency data conforms to a normal distribution; If the central trend data do not conform to the normal distribution, the differences in various performance indicators at different wavelengths are compared according to non-parametric tests to determine the actual preparation process data.

10. The method for preparing a special water-based oligomer according to claim 8, characterized in that: The method further comprises: If the parameter comparison result is that the performance parameter is greater than the standard parameter, the predicted preparation flow and the predicted preparation process indicated by the predicted preparation data are determined as the actual preparation data.

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