Intelligent preparation method of cyanuric acid / melamine compound based on molecular self-assembly technology

Abstract

The invention relates to an intelligent preparation method of a cyanuric acid / melamine compound based on a molecular self-assembly technology, and relates to the field of preparation of flame-retardant composites.The intelligent preparation method comprises the steps that a communication molecular self-assembly controller is used for receiving and preparing genotype factors; preparing phenotype factors and seed crystal material types through a user side; constructing a character mapping function according to the material type of the seed crystal; constructing a flame-retardant quality evaluation function; the method comprises the following steps: constructing a cyanuric acid / melamine compound preparation gene first population based on seed material type backtracking; and based on the character mapping function and the flame retardant quality evaluation function, optimizing the first population of the cyanuric acid / melamine compound preparation gene, and obtaining a recommended genotype factor characteristic value combination to initialize a molecular self-assembly controller for preparation control. The technical problem that in the prior art, multiple experiments are conducted through control variables, optimal configuration of control elements in the molecule self-assembly process is achieved, and consequently efficiency is low is solved.

Description

Technical Field

[0001] The invention relates to the technical field of flame retardant composite preparation, and in particular to an intelligent preparation method of cyanuric acid / melamine composite based on molecular self-assembly technology. Background Art

[0002] Currently, an important application of cyanuric acid / melamine complexes is to add the cyanuric acid / melamine complexes to the surface of a target product through molecular self-assembly technology to form a flame retardant layer, thereby improving the flame retardant properties of the target product.

[0003] In order to ensure the stability of flame retardant properties, the setting of molecular self-assembly process control factors, such as temperature, inhibitor content, cyanuric acid content, and melamine content, is particularly important. When preparing traditional cyanuric acid / melamine complexes, multiple experiments are carried out by controlling variables to achieve the optimal configuration of molecular self-assembly process control factors, but the disadvantages are high cost, low efficiency, and strong instability. Summary of the invention

[0004] The present invention aims to solve the technical problem that in the prior art, multiple experiments are carried out by controlling variables to achieve the optimal configuration of control elements in the molecular self-assembly process, resulting in low efficiency. The present invention provides an intelligent preparation method for cyanuric acid / melamine complex based on molecular self-assembly technology to solve the problem.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] In a first aspect, the present invention provides an intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology, comprising:

[0007] A communication molecular self-assembly controller receives a prepared genotype factor, wherein the prepared genotype factor is used to characterize a molecular self-assembly control parameter;

[0008] Through the user terminal, configuring the preparation phenotype factor and the seed material type, wherein the preparation phenotype factor is used to characterize the index for evaluating the quality of the composite;

[0009] According to the type of the seed material, constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor;

[0010] Based on the prepared phenotype factors, constructing a flame retardant quality evaluation function;

[0011] Based on the type of seed material, the preparation of cyanuric acid / melamine complex is traced back to construct a first population of genes for preparing cyanuric acid / melamine complex;

[0012] Based on the trait mapping function and the flame retardant quality evaluation function, optimizing the first population of genes for preparing the cyanuric acid / melamine complex to obtain a recommended genotype factor characteristic value combination;

[0013] The molecular self-assembly controller is initialized and prepared according to the recommended genotype factor characteristic value combination.

[0014] In a second aspect, the present invention provides an electronic device, comprising:

[0015] Memory for storing computer software programs;

[0016] The processor is used to read and execute the computer software program, thereby realizing the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology described in the first aspect.

[0017] In a third aspect, the present invention provides a non-transitory computer-readable storage medium, wherein a computer software program is stored in the storage medium. When the computer software program is executed by a processor, the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology described in the first aspect is implemented.

[0018] The beneficial effects of the present invention are as follows: by setting each control element of the molecular self-assembly controller as a preparation genotype factor; setting the element for evaluating flame retardant performance as a preparation phenotype factor; then constructing a trait mapping function from the preparation genotype factor to the preparation phenotype factor according to the type of seed material of the target product of the flame retardant layer as needed; further, constructing a flame retardant quality evaluation function; then tracing back the preparation of cyanuric acid / melamine complex based on the type of seed material, constructing a first population of genes for preparing cyanuric acid / melamine complex; finally, optimizing the first population of genes for preparing cyanuric acid / melamine complex based on the trait mapping function and the flame retardant quality evaluation function, and obtaining a recommended genotype factor characteristic value combination for guiding the preparation of cyanuric acid / melamine complex. By using machine learning combined with an optimization algorithm, virtual iterative optimization of molecular self-assembly control is realized, the time loss of physical experiments is shortened, and the technical effect of improving the configuration efficiency of molecular self-assembly control elements is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of the process of the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology provided by the present invention;

[0020] Figure 2 A schematic diagram of the process flow of constructing a property mapping function for the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology provided by the present invention;

[0021] Figure 3 A schematic diagram of the structure of an electronic device provided by the present invention;

[0022] Figure 4 A schematic diagram of the structure of a computer-readable storage medium provided by the present invention.

[0023] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0024] Electronic device 500 , memory 510 , processor 520 , computer program 511 , computer readable storage medium 600 , computer program 611 . DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0026] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0027] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0028] Embodiment 1:

[0029] like Figure 1 As shown, the embodiment of the present invention provides an intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology, comprising the steps of:

[0030] S10: communicating with a molecular self-assembly controller, receiving a prepared genotype factor, wherein the prepared genotype factor is used to characterize a molecular self-assembly control parameter;

[0031] Specifically, the molecular self-assembly controller refers to a control terminal for controlling the technical elements of the molecular self-assembly. Preferably, the molecular self-assembly controller and the molecular self-assembly device are connected in communication. The molecular self-assembly process of the cyanuric acid / melamine complex is as follows: Raw materials: cyanuric acid and melamine; seed crystals; inhibitor (used to control the reaction rate and achieve controllable crystal form under controllable speed conditions); solvent: water

[0032] Step 1: Add water to the reaction vessel of the molecular self-assembly device. Water is a solvent that provides an environment for molecular self-assembly.

[0033] Step 2: Add a quantitative inhibitor to the reaction vessel of the molecular self-assembly device. The inhibitor is used to control the reaction rate and achieve controllable crystal form under controllable speed conditions.

[0034] Step 3: Adding seed crystals of a set size, i.e., the target product, into the reaction vessel of the molecular self-assembly device;

[0035] Step 4: Add a certain amount of cyanuric acid and a certain amount of melamine into the reaction container of the molecular self-assembly device, control the temperature of the reaction container, react and obtain the target product.

[0036] In the above process, the mass of cyanuric acid added, the mass of melamine added, the reaction temperature timing information, the mass of inhibitor added, and the surface area of ​​the target product are all factors that need to be controlled, that is, the preparation genotype factors. By adjusting the mass of cyanuric acid added, the mass of melamine added, the reaction temperature timing information, the mass of inhibitor added, and the surface area of ​​the target product, different molecular growth states can be produced, thereby affecting the final composite performance and the flame retardant properties of the target product.

[0037] S20: configuring, through the user terminal, a preparation phenotype factor and a seed material type, wherein the preparation phenotype factor is used to characterize an index for evaluating the quality of the composite;

[0038] Specifically, phenotypic factors are prepared to characterize indicators for evaluating the quality of the composite. In the embodiment of the present application, the cyanuric acid / melamine composite is mainly used to enhance flame retardancy, and is grown on the target product in real time through molecular self-assembly technology, which will cause certain losses to the product. Therefore, it is preferred to set four indicators, namely, the target product quality loss ratio, the cyanuric acid / melamine composite generation rate, the cyanuric acid / melamine composite distribution uniformity, and the cyanuric acid / melamine composite distribution density, to evaluate the composite quality.

[0039] The seed material type characterizes the surface material type of the target product, because the molecular self-assembly process may result in different flame retardant properties due to the difference in seed type. By calling the seed material type, a more accurate composite quality assessment can be achieved.

[0040] S30: constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor according to the type of the seed crystal material;

[0041] Further, such as Figure 2 As shown, according to the type of the seed material, a trait mapping function from the prepared genotype factor to the prepared phenotypic factor is constructed, and step S30 includes the steps of:

[0042] S31: collecting a cyanuric acid / melamine complex preparation log according to the type of the seed material, wherein the cyanuric acid / melamine complex preparation log includes a genotype factor record value data set and a phenotype factor record value data set;

[0043] S32: constructing a trait mapping function network architecture, wherein the trait mapping function network architecture has an input node of the same dimension as the prepared genotype factor, and the trait mapping function network architecture has an output node of the same dimension as the prepared phenotypic factor;

[0044] S33: Using the phenotypic factor record value dataset as the supervised truth value and the genotypic factor record value dataset as input data, the trait mapping function network architecture is trained to generate the trait mapping function.

[0045] Further, the phenotype factor record value data set is used as the supervised truth value, and the genotype factor record value data set is used as input data to train the trait mapping function network architecture to generate the trait mapping function. Step S33 includes the steps of:

[0046] S331: Construct the trait mapping loss evaluation formula:

[0047]

[0048] Among them, LOSS represents the trait mapping loss value, x i Characterizes the predicted value of the phenotypic factor of the i-th attribute, x i0 represents the recorded value data of the phenotype factor of the i-th attribute, N represents the attribute dimension of the phenotype factor, and a represents the mean loss threshold;

[0049] S332: Using the phenotypic factor record value dataset as the supervised truth value and the genotypic factor record value dataset as input data, the trait mapping function network architecture is trained according to the trait mapping loss evaluation formula to generate the trait mapping function.

[0050] Specifically, the trait mapping function is used to realize the prediction from the preparation of genotypic factors to the preparation of phenotypic factors under the premise of limiting the type of seed material. The trait mapping function is the core functional component of the embodiment of the present application. The traditional process requires experimental analysis of different characteristic values ​​of the preparation of genotypic factors, and then obtaining experimental results and recording the preparation of phenotypic factors.

[0051] Preferably, the trait mapping function is a neural network model, and its training process is as follows:

[0052] According to the seed material type, historical data sets of the preparation of cyanuric acid / melamine complexes of the same seed material type are collected and stored as cyanuric acid / melamine complex preparation logs. Any cyanuric acid / melamine complex preparation log includes a genotype factor record value data set set in historical experiments, and a phenotype factor record value data set recorded in historical experimental tests.

[0053] Furthermore, the trait mapping loss evaluation formula is constructed:

[0054] Part is the mean loss value, is the fluctuation parameter of the overall loss. The greater the fluctuation, the greater the loss. The greater the mean loss, the greater the loss. Therefore, when the mean loss is greater than or equal to the a value, it is directly regarded as unable to converge, and its loss is infinite. When the mean loss is less than the a value, the fluctuation parameter of the overall loss is used as the trait mapping loss.

[0055] Furthermore, the phenotypic factor record value dataset is used as the supervised truth value, and the genotypic factor record value dataset is used as input data, and the trait mapping function network architecture is trained according to the trait mapping loss evaluation formula. When the training is performed continuously for a preset number of times, and the mapping loss of at least 95% of the training times is less than or equal to the convergence threshold, the trait mapping function is generated.

[0056] The embodiment of the present application completes this process through a property mapping function, saving manpower and material costs. The obtained results need to be manually verified through periodic experiments, and if deviations occur, adjustments need to be made.

[0057] S40: constructing a flame retardant quality evaluation function based on the prepared phenotype factor;

[0058] Further, based on the preparation phenotype factor, a flame retardant quality evaluation function is constructed, and step S40 includes the steps of:

[0059] S41: performing a positive treatment on the prepared phenotypic factor to obtain a phenotypic factor positive index;

[0060] S42: Through the user terminal, traverse the phenotype factor positive index and configure the phenotype factor positive index threshold;

[0061] S43: constructing the flame retardant quality evaluation function according to the phenotype factor positive index threshold and the phenotype factor positive index:

[0062]

[0063] Among them, Q represents the flame retardant quality score, y i Characterizes the positive index characteristic value of the phenotype factor of the i-th dimension, y i0 represents the threshold value of the positive index of the phenotypic factor in the i-th dimension, N represents the dimension of the positive index of the phenotypic factor, and b represents a small constant.

[0064] Specifically, the flame retardant quality evaluation function is another key point of the technical solution of the embodiment of the present application, which is used to integrate the preparation of phenotypic factors and comprehensively evaluate the flame retardant performance. In order to ensure that the larger the overall evaluation value, the better the flame retardant performance, the prepared phenotypic factors are firstly positively processed to obtain the phenotypic factor positive index. Preferably, the original positive index is not processed, and the non-positive index can be converted into the reciprocal of the original index. The threshold value of the phenotypic factor positive index is the minimum expected value set by the user for the phenotypic factor positive index through the user terminal, that is, the final flame retardant performance must exceed or equal to the corresponding threshold. According to the phenotypic factor positive index threshold value and the phenotypic factor positive index, the flame retardant quality evaluation function is constructed:

[0065] From the flame retardant quality evaluation function, we can see That is, the proportion of indicators that are greater than or equal to the threshold of the phenotype factor positive index, When the direct fitness is equal to 0, When, use As the fitness evaluation value, Must be ≥ 0, The minimum value is 1, so The logic is to find the best among the qualified ones to ensure the best flame retardant layer.

[0066] S50: based on the type of the seed material, tracing back the preparation of the cyanuric acid / melamine complex, and constructing a first population of genes for preparing the cyanuric acid / melamine complex;

[0067] Further, based on the type of the seed material, the preparation of the cyanuric acid / melamine complex is traced back to construct a first population of genes for preparing the cyanuric acid / melamine complex. Step S50 includes the following steps:

[0068] S51: based on the type of the seed material, performing a preparation backtracking of the cyanuric acid / melamine complex to obtain a historical characteristic value of a first preparation genotype factor and a historical characteristic value of a second preparation genotype factor;

[0069] S52: when the distance deviation parameter between the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is greater than or equal to the distance deviation parameter threshold, adding the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value to the first population of genes for preparing the cyanuric acid / melamine complex;

[0070] S53: When the distance deviation parameter of the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is less than the distance deviation parameter threshold, the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value are randomly selected and added to the first population of cyanuric acid / melamine complex preparation genes.

[0071] Specifically, the first population of genes for preparing cyanuric acid / melamine complex is a solution set composed of historical genotype factor characteristic values, that is, a set of control factor characteristic values ​​of molecular self-assembly in the historical preparation process. Based on the seed material type, the preparation of cyanuric acid / melamine complex is traced back, and any two groups of control factors for the self-assembly preparation of cyanuric acid / melamine complex molecules of the seed material type can be collected and stored as the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value respectively; then, by analyzing the distance deviation parameter of the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value, the distance deviation parameter characterizes the degree of difference between the two.

[0072] When the distance deviation parameter between the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is greater than or equal to the distance deviation parameter threshold value preset by the user, the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value are added to the first population of genes for preparation of the cyanuric acid / melamine complex;

[0073] When the distance deviation parameter of the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is less than the distance deviation parameter threshold, by default, the distance deviation parameter threshold is 0.5, the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value are randomly selected and added to the first population of cyanuric acid / melamine complex preparation genes.

[0074] The above content is constructed into a population by selecting individuals with larger initial distribution distance dispersion. In the subsequent optimization step, more solutions can be traversed, so as to approach the global optimum as quickly as possible and achieve the global optimal configuration of genotype factors.

[0075] Furthermore, the distance deviation parameter evaluation step S52 includes the steps of:

[0076] S521: traverse genotype factors and configure genotype factor thresholds;

[0077] S522: performing a same-attribute comparison on the first prepared genotype factor historical characteristic value and the second prepared genotype factor historical characteristic value to obtain a genotype factor deviation distance;

[0078] S523: When the genotype factor deviation distances are all less than or equal to the genotype factor threshold, the distance deviation parameter is set to 0;

[0079] S524: When any one of the genotype factor deviation distances is greater than the genotype factor threshold, the distance deviation parameter is set to 1.

[0080] Specifically, the preferred evaluation process of the distance deviation parameter is as follows:

[0081] Through the user end, the deviation threshold of each genotype factor is configured and stored as the genotype factor threshold. When it is greater than the genotype factor threshold, the corresponding indicator is deemed to have a deviation, otherwise it is deemed to have no deviation. The first prepared genotype factor historical characteristic value and the second prepared genotype factor historical characteristic value are compared with the same attribute to obtain the genotype factor deviation distance of each attribute, that is, the absolute value of the deviation of the same attribute comparison; when the genotype factor deviation distances are less than or equal to the genotype factor threshold, the distance deviation parameter is set to 0; when any one of the genotype factor deviation distances is greater than the genotype factor threshold, the distance deviation parameter is set to 1.

[0082] S60: optimizing the first population of genes for preparing the cyanuric acid / melamine complex based on the trait mapping function and the flame retardant quality evaluation function to obtain a recommended genotype factor characteristic value combination;

[0083] S70: Initializing the molecular self-assembly controller for preparation control according to the recommended genotype factor characteristic value combination.

[0084] Specifically, the above-mentioned construction includes a trait mapping function that can predict the characteristic value of the phenotypic factor from the characteristic value of the genotype factor, and a flame retardant quality evaluation function that generates a flame retardant quality score by fusing the characteristic value of the phenotypic factor. Therefore, by connecting the trait mapping function and the flame retardant quality evaluation function in series, a fitness evaluation pipeline can be obtained, and there are two nodes on the pipeline, node 1 is the trait mapping function, node 2 is the flame retardant quality evaluation function, and the fitness is the output value of the flame retardant quality evaluation function.

[0085] Through the fitness evaluation pipeline, the quality of individuals in the first population of genes for preparing cyanuric acid / melamine complexes can be evaluated, and then the individuals can be sorted to obtain the recommended genotype factor characteristic value combination.

[0086] Further, the molecular self-assembly controller is initialized according to the recommended genotype factor characteristic value combination, and then the cyanuric acid / melamine complex is prepared on the surface of the target product of the target size.

[0087] Further, based on the trait mapping function and the flame retardant quality evaluation function, the first population of genes for preparing the cyanuric acid / melamine complex is optimized to obtain a recommended genotype factor characteristic value combination, step S60 comprises the steps of:

[0088] S61: Connecting the property mapping function and the flame retardant quality evaluation function in series to construct a fitness evaluation pipeline;

[0089] S62: processing the first population of genes for preparing the cyanuric acid / melamine complex according to the fitness evaluation pipeline to obtain a fitness evaluation value set;

[0090] S63: Based on the fitness evaluation value set, directing gene mutation is performed on the first population of genes for preparing the cyanuric acid / melamine complex to obtain a second population of genes for preparing the cyanuric acid / melamine complex;

[0091] S64: performing cyclic iteration on the second population of genes for preparing the cyanuric acid / melamine complex based on the trait mapping function and the flame retardant quality evaluation function;

[0092] S65: until the Kth population of genes for preparing the cyanuric acid / melamine compound is output, the maximum historical fitness value is extracted to construct the recommended genotype factor characteristic value combination.

[0093] Specifically, according to the fitness evaluation pipeline, all individuals of the first population of genes for preparing cyanuric acid / melamine complex are processed to obtain a set of fitness evaluation values. Based on the set of fitness evaluation values, the first population of genes for preparing cyanuric acid / melamine complex is subjected to directed gene mutation according to the following process to obtain a second population of genes for preparing cyanuric acid / melamine complex:

[0094] Further, based on the fitness evaluation value set, the first population of genes for preparing cyanuric acid / melamine complex is subjected to directed gene mutation to obtain a second population of genes for preparing cyanuric acid / melamine complex, and step S63 comprises the steps of:

[0095] S631: sorting the first population of genes for preparing cyanuric acid / melamine complex from large to small based on the fitness evaluation value set to obtain individual sorting results of the first population of genes for preparing cyanuric acid / melamine complex;

[0096] S632: sorting a first number of head individuals of the individual sorting result, and sorting a second number of tail individuals of the individual sorting result;

[0097] S633: Taking the first number of head individuals as mutation targets, guiding the second number of tail individuals to perform gene same-dimensional crossover mutation and same-dimensional march mutation to obtain the second population of genes for preparing the cyanuric acid / melamine complex.

[0098] Specifically, the first population of genes for preparing cyanuric acid / melamine complex is sorted from large to small based on the fitness evaluation value set to obtain the individual sorting result of the first population of genes for preparing cyanuric acid / melamine complex; the first number of head individuals of the individual sorting result are sorted, and the second number of tail individuals of the individual sorting result are sorted. Preferably, the first number of head individuals is 5 to 10, and the second number of tail individuals is 50 to 100. The first number of head individuals are used as mutation targets, and the second number of tail individuals are guided to perform gene same-dimensional crossover mutation and same-dimensional march mutation to obtain the second population of genes for preparing cyanuric acid / melamine complex, specifically:

[0099] One of the first number of head individuals is randomly selected as the target individual; one of the second number of tail individuals is randomly selected as the starting individual. The genotype characteristic values ​​of the same attribute of the starting individual and the target individual are crossed to generate the second population of genes for preparing cyanuric acid / melamine complexes. Alternatively, the genotype characteristic value of a certain attribute of the starting individual is adjusted to be close to the genotype characteristic value of the attribute corresponding to the target individual, and the search is performed according to the preset step length preset by the user. Each search generates an individual of the second population of genes for preparing cyanuric acid / melamine complexes. The above-mentioned crossing and marching methods can be used simultaneously or separately.

[0100] Further, based on the trait mapping function and the flame retardant quality evaluation function, the second population of genes for preparing cyanuric acid / melamine complex is iterated cyclically to obtain the third population of genes for preparing cyanuric acid / melamine complex, and the cycle is repeated until the second population of genes for preparing cyanuric acid / melamine complex is obtained, where K is the number of convergence iterations preset by the user. When the conditions are met, the genotype characteristic value of the individual with the maximum fitness of all populations is output as the recommended genotype factor characteristic value combination.

[0101] Through virtual iteration, efficient global configuration of genotype factor eigenvalues ​​can be achieved. Users can then directly use the recommended genotype factor eigenvalue combination to prepare cyanuric acid / melamine complexes, or select samples to test the recommended genotype factor eigenvalue combination and then prepare cyanuric acid / melamine complexes, both of which improve the efficiency of cyanuric acid / melamine complex preparation.

[0102] The intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology provided in the embodiment of the present invention has at least the following technical effects:

[0103] By setting each control element of the molecular self-assembly controller as a preparation genotype factor; setting the element for evaluating flame retardant performance as a preparation phenotype factor; then constructing a trait mapping function from the preparation genotype factor to the preparation phenotype factor according to the type of seed material of the target product of the flame retardant layer; further, constructing a flame retardant quality evaluation function; then tracing back the preparation of cyanuric acid / melamine complex based on the type of seed material, constructing the first population of cyanuric acid / melamine complex preparation genes; finally, optimizing the first population of cyanuric acid / melamine complex preparation genes based on the trait mapping function and the flame retardant quality evaluation function, and obtaining a recommended genotype factor characteristic value combination for guiding the preparation of cyanuric acid / melamine complex. By using machine learning combined with optimization algorithms, virtual iterative optimization of molecular self-assembly control is realized, the time loss of physical experiments is shortened, and the technical effect of improving the configuration efficiency of molecular self-assembly control elements is achieved.

[0104] Embodiment 2:

[0105] See also Figure 3 , Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 500, including a memory 510, a processor 520, and a computer program 511 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 511, the following steps are implemented:

[0106] A communication molecular self-assembly controller receives a prepared genotype factor, wherein the prepared genotype factor is used to characterize a molecular self-assembly control parameter;

[0107] Through the user terminal, configuring the preparation phenotype factor and the seed material type, wherein the preparation phenotype factor is used to characterize the index for evaluating the quality of the composite;

[0108] According to the type of the seed material, constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor;

[0109] Based on the prepared phenotype factors, constructing a flame retardant quality evaluation function;

[0110] Based on the type of seed material, the preparation of cyanuric acid / melamine complex is traced back to construct a first population of genes for preparing cyanuric acid / melamine complex;

[0111] Based on the trait mapping function and the flame retardant quality evaluation function, optimizing the first population of genes for preparing the cyanuric acid / melamine complex to obtain a recommended genotype factor characteristic value combination;

[0112] The molecular self-assembly controller is initialized and prepared according to the recommended genotype factor characteristic value combination.

[0113] Embodiment three:

[0114] See also Figure 4 , Figure 4 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 600, on which a computer program 611 is stored. When the computer program 611 is executed by a processor, the following steps are implemented:

[0115] A communication molecular self-assembly controller receives a prepared genotype factor, wherein the prepared genotype factor is used to characterize a molecular self-assembly control parameter;

[0116] Through the user terminal, configuring the preparation phenotype factor and the seed material type, wherein the preparation phenotype factor is used to characterize the index for evaluating the quality of the composite;

[0117] According to the type of the seed material, constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor;

[0118] Based on the prepared phenotype factors, constructing a flame retardant quality evaluation function;

[0119] Based on the type of seed material, the preparation of cyanuric acid / melamine complex is traced back to construct a first population of genes for preparing cyanuric acid / melamine complex;

[0120] Based on the trait mapping function and the flame retardant quality evaluation function, optimizing the first population of genes for preparing the cyanuric acid / melamine complex to obtain a recommended genotype factor characteristic value combination;

[0121] The molecular self-assembly controller is initialized and prepared according to the recommended genotype factor characteristic value combination.

[0122] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0123] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0124] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0125] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0127] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0128] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. An intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology, characterized in that: include: A communication molecular self-assembly controller receives a prepared genotype factor, wherein the prepared genotype factor is used to characterize a molecular self-assembly control parameter; Through the user terminal, configuring the preparation phenotype factor and the seed material type, wherein the preparation phenotype factor is used to characterize the index for evaluating the quality of the composite; According to the type of the seed material, constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor; Based on the prepared phenotype factors, constructing a flame retardant quality evaluation function; Based on the type of seed material, the preparation of cyanuric acid / melamine complex is traced back to construct a first population of genes for preparing cyanuric acid / melamine complex; Based on the trait mapping function and the flame retardant quality evaluation function, optimizing the first population of genes for preparing the cyanuric acid / melamine complex to obtain a recommended genotype factor characteristic value combination; The molecular self-assembly controller is initialized and prepared according to the recommended genotype factor characteristic value combination.

2. The method according to claim 1, characterized in that According to the type of the seed material, constructing a trait mapping function from the prepared genotype factor to the prepared phenotypic factor, comprising: According to the type of the seed material, collecting a cyanuric acid / melamine complex preparation log, wherein the cyanuric acid / melamine complex preparation log includes a genotype factor record value data set and a phenotype factor record value data set; Constructing a trait mapping function network architecture, wherein the trait mapping function network architecture has input nodes of the same dimension as the prepared genotype factor, and the trait mapping function network architecture has output nodes of the same dimension as the prepared phenotypic factor; The phenotypic factor record value data set is used as the supervised truth value, and the genotypic factor record value data set is used as input data to train the trait mapping function network architecture to generate the trait mapping function.

3. The method according to claim 2, characterized in that The phenotypic factor record value data set is used as the supervised truth value, and the genotypic factor record value data set is used as input data to train the trait mapping function network architecture to generate the trait mapping function, including: Construct the trait mapping loss evaluation formula: Among them, LOSS represents the trait mapping loss value, x i Characterizes the predicted value of the phenotypic factor of the i-th attribute, x i0 represents the recorded value data of the phenotype factor of the i-th attribute, N represents the attribute dimension of the phenotype factor, and a represents the mean loss threshold; The phenotypic factor record value data set is used as the supervised true value, the genotypic factor record value data set and as the input data, and the trait mapping function network architecture is trained according to the trait mapping loss evaluation formula to generate the trait mapping function.

4. The method according to claim 1, characterized in that Based on the prepared phenotype factors, a flame retardant quality evaluation function is constructed, including: Performing a positive treatment on the prepared phenotypic factor to obtain a phenotypic factor positive index; Through the user end, traverse the phenotype factor positive index and configure the phenotype factor positive index threshold; According to the phenotype factor positive index threshold and the phenotype factor positive index, the flame retardant quality evaluation function is constructed: Among them, Q represents the flame retardant quality score, y i Characterizes the positive index characteristic value of the phenotype factor of the i-th dimension, y i0 represents the threshold value of the positive index of the phenotypic factor in the i-th dimension, N represents the dimension of the positive index of the phenotypic factor, and b represents a small constant.

5. The method according to claim 1, characterized in that Based on the type of seed material, the preparation of cyanuric acid / melamine complex is traced back to construct the first population of genes for preparing cyanuric acid / melamine complex, including: Based on the type of seed material, cyanuric acid / melamine complex preparation is traced back to obtain the historical characteristic value of the first preparation genotype factor and the historical characteristic value of the second preparation genotype factor; When the distance deviation parameter between the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is greater than or equal to the distance deviation parameter threshold, adding the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value to the first population of cyanuric acid / melamine complex preparation genes; When the distance deviation parameter of the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value is less than the distance deviation parameter threshold, the first preparation genotype factor historical characteristic value and the second preparation genotype factor historical characteristic value are randomly selected and added to the first population of cyanuric acid / melamine complex preparation genes.

6. The method according to claim 5, characterized in that The distance deviation parameter evaluation step comprises: Traverse the genotype factors and configure the genotype factor thresholds; Performing a same-attribute comparison on the first prepared genotype factor historical characteristic value and the second prepared genotype factor historical characteristic value to obtain a genotype factor deviation distance; When the genotype factor deviation distances are all less than or equal to the genotype factor threshold, the distance deviation parameter is set to 0; When any one of the genotype factor deviation distances is greater than the genotype factor threshold, the distance deviation parameter is set to 1.

7. The method according to claim 1, characterized in that Based on the trait mapping function and the flame retardant quality evaluation function, the first population of genes for preparing the cyanuric acid / melamine complex is optimized to obtain a recommended genotype factor characteristic value combination, including: Connecting the trait mapping function and the flame retardant quality evaluation function in series to construct a fitness evaluation pipeline; According to the fitness evaluation pipeline, the first population of genes for preparing the cyanuric acid / melamine complex is processed to obtain a set of fitness evaluation values; Based on the fitness evaluation value set, directing gene mutation is performed on the first population of genes for preparing the cyanuric acid / melamine complex to obtain a second population of genes for preparing the cyanuric acid / melamine complex; Based on the trait mapping function and the flame retardant quality evaluation function, cyclically iterating the second population of genes for preparing the cyanuric acid / melamine complex; Until the Kth population of genes for preparing the cyanuric acid / melamine compound is output, the maximum historical fitness value is extracted to construct the recommended genotype factor characteristic value combination.

8. The method according to claim 7, characterized in that Based on the fitness evaluation value set, the first population of genes for preparing the cyanuric acid / melamine complex is subjected to directed gene mutation to obtain a second population of genes for preparing the cyanuric acid / melamine complex, comprising: Sorting the first population of genes for preparing cyanuric acid / melamine complex from large to small based on the fitness evaluation value set to obtain individual sorting results of the first population of genes for preparing cyanuric acid / melamine complex; sorting a first number of head individuals of the individual sorting result, and sorting a second number of tail individuals of the individual sorting result; The first number of head individuals are used as mutation targets, and the second number of tail individuals are guided to perform gene same-dimensional crossover mutation and same-dimensional march mutation to obtain the second population of genes for preparing the cyanuric acid / melamine complex.

9. An electronic device, characterized in that: include: Memory for storing computer software programs; A processor is used to read and execute the computer software program, thereby realizing the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium, characterized in that: The storage medium stores a computer software program, which, when executed by a processor, implements the intelligent preparation method of cyanuric acid / melamine complex based on molecular self-assembly technology as claimed in any one of claims 1 to 8.

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