Dynamic intelligent optimization method and system for modified asphalt production process parameters
By building a modified asphalt production process parameter library and dynamic intelligent optimization system, the problem of existing process design relying on subjective experience is solved, and the standardization and efficient optimization of modified asphalt process parameters are achieved.
Patent Information
- Application Number
- CN202410815932.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-24
- Publication Date
- 2025-03-04
- Estimated Expiration
- 2044-06-24
AI Technical Summary
The existing modified asphalt production process design lacks standardization and efficiency, and parameter optimization depends on subjective experience, making it difficult to reuse known experience, resulting in irregular process design.
By constructing the asphalt production modification process parameter library, the current matrix asphalt attributes and modification requirements are obtained, matching parameters are screened, initial parameters are calculated, and parameter optimization and update based on the feedback training model is formed to form a dynamic intelligent optimization system.
The standardization and efficient optimization process of modified asphalt process parameters are realized, reducing the dependence on subjective experience, and the process parameters that meet the modification requirements can be quickly determined.
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Figure CN118553337B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of asphalt production, and in particular to a method and system for dynamically intelligently optimizing process parameters of modified asphalt production. Background Art
[0002] Asphalt is a dark brown complex mixture of hydrocarbons of different molecular weights and their non-metallic derivatives. It is a kind of high-viscosity organic liquid. It is in liquid state, black on the surface, and soluble in carbon disulfide. Asphalt can be divided into coal tar asphalt, petroleum asphalt and natural asphalt. Among them, coal tar asphalt is a by-product of coking, petroleum asphalt is the residue after crude oil distillation, and natural asphalt is stored underground, some of which form mineral layers or accumulate on the surface of the earth's crust. Asphalt is mainly used in industries such as coatings, plastics, rubber, and paving roads.
[0003] Generally, in order to enhance the comprehensive performance of asphalt materials, the base asphalt needs to be modified to obtain modified asphalt with good stability and strong anti-aging properties. Usually, in order to make the stability of modified asphalt better, it is necessary to adjust its softening point, needle penetration, high temperature stability, anti-aging and other properties. The existing process design for modified asphalt often lacks effective reuse of known experience, and the optimization design of parameters depends on personal subjective experience, making it difficult to form a standardized and efficient modified asphalt production process parameter optimization process. Summary of the invention
[0004] In order to solve the above technical problems, a method and system for dynamic intelligent optimization of modified asphalt production process parameters are provided. This technical solution solves the problem that the existing process design for modified asphalt mentioned above often lacks effective reuse of known experience, and the optimization design of parameters relies on personal subjective experience, making it difficult to form a standardized and efficient modified asphalt production process parameter optimization process.
[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:
[0006] A method for dynamic intelligent optimization of process parameters for modified asphalt production, comprising:
[0007] Obtain asphalt production modification process parameter library;
[0008] Acquire the properties of the current base asphalt, and retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt as the asphalt production modification process parameter set;
[0009] Obtain the current modification requirements of asphalt, and select the asphalt production modification process parameters that are closest to the modification requirements of asphalt from the asphalt production modification process parameter set according to the current modification requirements of asphalt;
[0010] Calculating and obtaining initial asphalt production modification process parameters based on matching asphalt production modification process parameters;
[0011] The modified asphalt is produced and processed according to the initial asphalt production modification process parameters, and the asphalt production modification process parameters are optimized and updated based on the feedback training model;
[0012] The optimized and updated asphalt performance parameters and asphalt production modification process parameters will be added to the asphalt production modification process parameter library.
[0013] Preferably, the method of retrieving at least one asphalt production modification process parameter corresponding to the property of the current base asphalt from the asphalt production modification process parameter library specifically according to the property of the current base asphalt comprises:
[0014] All asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters produced corresponding to the asphalt production modification process parameters are obtained to form an asphalt production modification process parameter set.
[0015] Preferably, the asphalt production modification process parameter that is closest to the asphalt modification requirement is selected from the asphalt production modification process parameter set according to the current asphalt modification requirement, and specifically includes:
[0016] Based on the modification requirements of asphalt, determine the performance requirements of asphalt for each property;
[0017] Based on the performance requirements of asphalt, the asphalt production modification process parameter set is selected, in which each performance parameter of the produced asphalt is better than the performance requirements of asphalt, and the asphalt production modification process parameter with the smallest comprehensive distance index to the performance requirements of asphalt is recorded as the first asphalt production modification process parameter;
[0018] From the asphalt production modification process parameter set, select the asphalt production modification process parameter whose every performance parameter of the produced asphalt is inferior to the performance requirement of the asphalt and whose comprehensive distance index with the performance requirement of the asphalt is the smallest, and record it as the second asphalt production modification process parameter;
[0019] The first asphalt production modification process parameters and the second asphalt production modification process parameters are used as matching asphalt production modification process parameters.
[0020] Preferably, the calculation formula of the comprehensive distance index is:
[0021]
[0022] In the formula, is the comprehensive distance indicator, is the performance requirement value of the ith performance parameter, is the value of the i-th performance parameter of the asphalt produced by the asphalt production modification process parameters, is the total number of asphalt performance items.
[0023] Preferably, the calculation based on matching the asphalt production modification process parameters to obtain the initial asphalt production modification process parameters specifically includes:
[0024] Based on the deviation calculation formula, calculate the asphalt modification requirements and the deviation index matching the asphalt production modification process parameters;
[0025] Based on the deviation index, combined with matching asphalt production modification process parameters, the initial asphalt production modification process parameters are calculated through parameter fitting formula;
[0026] The calculation formula of the deviation is specifically:
[0027]
[0028] In the formula, is the offset indicator, is the i-th performance parameter value of the asphalt produced by the first asphalt production modification process parameter, The i-th performance parameter value of the asphalt produced by the second asphalt production modification process parameters
[0029] The parameter fitting formula is specifically:
[0030]
[0031] In the formula, Modification process parameters for asphalt production, Modified process parameters for the first asphalt production, Modified process parameters for second asphalt production.
[0032] Preferably, the production and processing of modified asphalt according to the initial asphalt production modification process parameters and the optimization and updating of the asphalt production modification process parameters based on the feedback training model specifically include:
[0033] Taking the initial asphalt production modification process parameters as the actual asphalt production modification process parameters, obtaining each performance parameter of the asphalt produced by the actual asphalt production modification process parameters, and recording them as the actual asphalt performance parameter value;
[0034] Based on the fitting comparison between the actual asphalt performance parameter values and the asphalt modification requirements, it is determined whether the actual asphalt performance parameter values meet the asphalt modification requirements;
[0035] If yes, the actual asphalt production modification process parameters are used as the optimized and updated asphalt production modification process parameters;
[0036] If not, the actual asphalt production modification process parameters are used to replace the first asphalt production modification process parameters or the second asphalt production modification process parameters, and the updated first asphalt production modification process parameters and the second asphalt production modification process parameters are used as matching asphalt production modification process parameters to calculate the initial asphalt production modification process parameters.
[0037] Preferably, the actual asphalt production modification process parameters are used to replace the first asphalt production modification process parameters or the second asphalt production modification process parameters as follows:
[0038] Determine the minimum value of the comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and the comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced;
[0039] The actual asphalt production modification process parameters are used to replace the asphalt production modification process parameters to be replaced.
[0040] Furthermore, a modified asphalt production process parameter dynamic intelligent optimization system is proposed, which is used to implement the modified asphalt production process parameter dynamic intelligent optimization method as mentioned above, including:
[0041] A storage module, the storage module is used to store a library of asphalt production modification process parameters;
[0042] An initial parameter determination module, the initial parameter determination module is electrically connected to the storage module, the initial parameter determination module is used to obtain the properties of the current base asphalt, retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt, as an asphalt production modification process parameter set, and obtain the modification requirements of the current asphalt, screen out the matching asphalt production modification process parameters that are closest to the modification requirements of the asphalt from the asphalt production modification process parameter set according to the modification requirements of the current asphalt, and simultaneously calculate and obtain the initial asphalt production modification process parameters based on the matching asphalt production modification process parameters;
[0043] An optimization iteration module is electrically connected to the initial parameter determination module, and is used for producing and processing modified asphalt according to the initial asphalt production modification process parameters, and optimizing and updating the asphalt production modification process parameters based on the feedback training model, and adding the asphalt performance parameters and asphalt production modification process parameters produced after optimization and updating to the asphalt production modification process parameter library.
[0044] Optionally, the initial parameter determination module includes:
[0045] A primary screening unit, which is used to obtain all asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters of the production corresponding to the asphalt production modification process parameters, to form an asphalt production modification process parameter set;
[0046] A demand matching unit, wherein the demand matching unit is used to determine the performance requirement of asphalt for each performance item based on the modification requirement of asphalt, and based on the performance requirement of asphalt, screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is better than the performance requirement of asphalt and whose comprehensive distance index with the performance requirement of asphalt is the smallest, recorded as the first asphalt production modification process parameter, and at the same time screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is worse than the performance requirement of asphalt and whose comprehensive distance index with the performance requirement of asphalt is the smallest, recorded as the second asphalt production modification process parameter;
[0047] A parameter calculation unit is used to calculate the modification requirements of asphalt and the deviation index of matching asphalt production modification process parameters based on the deviation calculation formula, and based on the deviation index, combined with matching asphalt production modification process parameters, calculate the initial asphalt production modification process parameters through the parameter fitting formula.
[0048] Optionally, the optimization iteration module includes:
[0049] A comparison unit, the comparison unit is used to perform a fitting comparison based on the actual asphalt performance parameter value and the asphalt modification requirement, and determine whether the actual asphalt performance parameter value meets the asphalt modification requirement;
[0050] A parameter replacement unit, wherein the parameter replacement unit is used to determine the minimum value of a comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and a comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt when the actual asphalt performance parameter value does not meet the modification requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced, and replace the asphalt production modification process parameter to be replaced with the actual asphalt production modification process parameter;
[0051] A cyclic calculation unit, wherein the cyclic calculation unit is used to substitute the updated first asphalt production modification process parameters and the second asphalt production modification process parameters as matching asphalt production modification process parameters into the parameter calculation unit to calculate the initial asphalt production modification process parameters.
[0052] Compared with the prior art, the present invention has the following beneficial effects:
[0053] The present invention proposes a dynamic intelligent optimization scheme for modified asphalt production process parameters. Based on the historical experience data in the asphalt production modification process optimization process, an asphalt production modification process parameter library is constructed to achieve effective reuse of known experience in process design of modified asphalt. At the same time, in the process of optimizing and determining the modified asphalt production process parameters, the modified asphalt production process parameters are determined by fitting data with similar performance, so that the modified asphalt production process parameters that meet the asphalt modification requirements can be quickly determined. The optimization design of asphalt modification parameters does not rely on subjective experience judgment, and can achieve standardized modified asphalt with any performance requirements, and an efficient modified asphalt production process parameter optimization process. BRIEF DESCRIPTION OF THE DRAWINGS
[0054] Figure 1 Flow chart of the dynamic intelligent optimization method for the production process parameters of modified asphalt proposed in this scheme;
[0055] Figure 2 A flow chart of the method for selecting the asphalt production modification process parameters that are closest to the asphalt modification requirements in this scheme;
[0056] Figure 3 A flow chart of a method for calculating and obtaining initial asphalt production modification process parameters based on matching asphalt production modification process parameters in this scheme;
[0057] Figure 4 A flow chart of the method for optimizing and updating the process parameters of asphalt production modification based on the feedback training model in this scheme;
[0058] Figure 5 This is a flow chart of a method for replacing the first asphalt production modification process parameters or the second asphalt production modification process parameters with actual asphalt production modification process parameters in this scheme. DETAILED DESCRIPTION
[0059] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.
[0060] Reference Figure 1 As shown, a method for dynamic intelligent optimization of process parameters for modified asphalt production includes:
[0061] Obtain asphalt production modification process parameter library;
[0062] Acquire the properties of the current base asphalt, and retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt as the asphalt production modification process parameter set;
[0063] Obtain the current modification requirements of asphalt, and select the asphalt production modification process parameters that are closest to the modification requirements of asphalt from the asphalt production modification process parameter set according to the current modification requirements of asphalt;
[0064] Calculating and obtaining initial asphalt production modification process parameters based on matching asphalt production modification process parameters;
[0065] The modified asphalt is produced and processed according to the initial asphalt production modification process parameters, and the asphalt production modification process parameters are optimized and updated based on the feedback training model;
[0066] The optimized and updated asphalt performance parameters and asphalt production modification process parameters will be added to the asphalt production modification process parameter library.
[0067] This solution constructs an asphalt production modification process parameter library based on historical experience data during the asphalt production modification process optimization process, so as to achieve effective reuse of known experience in process design of modified asphalt. At the same time, in the process of optimizing and determining the modified asphalt production process parameters, the modified asphalt production process parameters are determined by fitting data with similar performance, so as to quickly determine the modified asphalt production process parameters that meet the asphalt modification requirements.
[0068] Specifically, according to the properties of the current base asphalt, at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt is retrieved from the asphalt production modification process parameter library, including:
[0069] All asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters produced corresponding to the asphalt production modification process parameters are obtained to form an asphalt production modification process parameter set.
[0070] It is understandable that different base asphalts contain different components of hydrocarbons and their non-metallic derivatives, and their properties are very different. Therefore, when designing the modification process, different process designs are required for different base asphalts. Based on this, in this scheme, different sets of asphalt production modification process parameters are used based on the different base asphalts.
[0071] Reference Figure 2 As shown, according to the current asphalt modification requirements, the asphalt production modification process parameters that are closest to the asphalt modification requirements are selected from the asphalt production modification process parameter set. Specifically, the asphalt production modification process parameters include:
[0072] Based on the modification requirements of asphalt, determine the performance requirements of asphalt for each property;
[0073] Based on the performance requirements of asphalt, the asphalt production modification process parameter set is selected, in which each performance parameter of the produced asphalt is better than the performance requirements of asphalt, and the asphalt production modification process parameter with the smallest comprehensive distance index to the performance requirements of asphalt is recorded as the first asphalt production modification process parameter;
[0074] From the asphalt production modification process parameter set, select the asphalt production modification process parameter whose every performance parameter of the produced asphalt is inferior to the performance requirement of the asphalt and whose comprehensive distance index with the performance requirement of the asphalt is the smallest, and record it as the second asphalt production modification process parameter;
[0075] The first asphalt production modification process parameters and the second asphalt production modification process parameters are used as matching asphalt production modification process parameters.
[0076] The calculation formula of the comprehensive distance index is:
[0077]
[0078] In the formula, is the comprehensive distance indicator, is the performance requirement value of the ith performance parameter, is the value of the i-th performance parameter of the asphalt produced by the asphalt production modification process parameters, is the total number of asphalt properties.
[0079] Since the previous asphalt modification processes are often difficult to cover all asphalt modification needs, in this solution, when targeting new asphalt modification needs, by screening out the optimized processes and degraded processes that are closest to the asphalt modification needs as the initial data anchor points, when designing the modification process, the initial process parameters can be effectively determined quickly.
[0080] Reference Figure 3 As shown, the initial asphalt production modification process parameters are calculated based on the matching asphalt production modification process parameters, specifically including:
[0081] Based on the deviation calculation formula, the asphalt modification requirements and the deviation index matching the asphalt production modification process parameters are calculated;
[0082] Based on the deviation index, combined with matching asphalt production modification process parameters, the initial asphalt production modification process parameters are calculated through the parameter fitting formula;
[0083] The specific calculation formula for the deviation is:
[0084]
[0085] In the formula, is the offset indicator, is the i-th performance parameter value of the asphalt produced by the first asphalt production modification process parameter, The i-th performance parameter value of the asphalt produced by the second asphalt production modification process parameters
[0086] The parameter fitting formula is as follows:
[0087]
[0088] In the formula, Modification process parameters for asphalt production, Modified process parameters for the first asphalt production, Modified process parameters for second asphalt production.
[0089] In this scheme, based on the set data anchor point, the degree of offset between the asphalt modification demand and the data anchor point is calculated. The closer the offset index is to 1, the closer the asphalt modification demand is to the asphalt produced by the first asphalt production modification process parameters. The initial asphalt production modification process parameters are determined by linear fitting in combination with the offset index and the first asphalt production modification process parameters and the second asphalt production modification process parameters.
[0090] Reference Figure 4 As shown, the production and processing of modified asphalt is carried out according to the initial asphalt production modification process parameters, and the optimization and update of the asphalt production modification process parameters based on the feedback training model specifically include:
[0091] Taking the initial asphalt production modification process parameters as the actual asphalt production modification process parameters, obtaining each performance parameter of the asphalt produced by the actual asphalt production modification process parameters, and recording them as the actual asphalt performance parameter value;
[0092] Based on the fitting comparison between the actual asphalt performance parameter values and the asphalt modification requirements, it is determined whether the actual asphalt performance parameter values meet the asphalt modification requirements;
[0093] If yes, the actual asphalt production modification process parameters are used as the optimized and updated asphalt production modification process parameters;
[0094] If not, the actual asphalt production modification process parameters are used to replace the first asphalt production modification process parameters or the second asphalt production modification process parameters, and the updated first asphalt production modification process parameters and the second asphalt production modification process parameters are used as matching asphalt production modification process parameters to calculate the initial asphalt production modification process parameters.
[0095] Reference Figure 5 As shown, the actual asphalt production modification process parameters are used to replace the first asphalt production modification process parameters or the second asphalt production modification process parameters, specifically:
[0096] Determine the minimum value of the comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and the comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced;
[0097] The actual asphalt production modification process parameters are used to replace the asphalt production modification process parameters to be replaced.
[0098] In this scheme, an iterative learning method is used to optimize and improve the parameters. During the optimization process, the data anchor points that do not meet the actual needs are eliminated, and the data anchor points that are closer to the actual needs are introduced, so that the modification parameters of asphalt are gradually optimized, and then the modified asphalt production process parameters that meet the asphalt modification needs are determined.
[0099] Further, based on the same inventive concept as the above-mentioned method for dynamically optimizing process parameters of modified asphalt production, this solution proposes a system for dynamically optimizing process parameters of modified asphalt production, including:
[0100] A storage module, the storage module is used to store a library of asphalt production modification process parameters;
[0101] An initial parameter determination module, the initial parameter determination module is electrically connected to the storage module, and the initial parameter determination module is used to obtain the properties of the current base asphalt, and retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt, as an asphalt production modification process parameter set, and obtain the modification requirements of the current asphalt, and select the matching asphalt production modification process parameters that are closest to the modification requirements of the asphalt from the asphalt production modification process parameter set according to the modification requirements of the current asphalt, and at the same time, calculate and obtain the initial asphalt production modification process parameters based on the matching asphalt production modification process parameters;
[0102] The optimization iteration module is electrically connected to the initial parameter determination module. The optimization iteration module is used to produce and process modified asphalt according to the initial asphalt production modification process parameters, and optimize and update the asphalt production modification process parameters based on the feedback training model, and add the asphalt performance parameters and asphalt production modification process parameters produced after optimization and update to the asphalt production modification process parameter library.
[0103] The initial parameter determination module includes:
[0104] The primary screening unit is used to obtain all asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters of the production corresponding to the asphalt production modification process parameters, forming an asphalt production modification process parameter set;
[0105] The demand matching unit is used to determine the performance requirements of asphalt for each performance item based on the modification requirements of asphalt, and based on the performance requirements of asphalt, screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is better than the performance requirements of asphalt and whose comprehensive distance index with the performance requirements of asphalt is the smallest, recorded as the first asphalt production modification process parameter, and at the same time screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is inferior to the performance requirements of asphalt and whose comprehensive distance index with the performance requirements of asphalt is the smallest, recorded as the second asphalt production modification process parameter;
[0106] Parameter calculation unit, the parameter calculation unit is used to calculate the modification demand of asphalt and the deviation index of matching asphalt production modification process parameters based on the deviation calculation formula, and based on the deviation index, combined with matching asphalt production modification process parameters, calculate the initial asphalt production modification process parameters through the parameter fitting formula.
[0107] The optimization iteration modules include:
[0108] A comparison unit, which is used to perform a fitting comparison based on the actual asphalt performance parameter value and the asphalt modification requirement, to determine whether the actual asphalt performance parameter value meets the asphalt modification requirement;
[0109] A parameter replacement unit, which is used to determine the minimum value of the comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and the comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt when the actual asphalt performance parameter value does not meet the modification requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced, and replace the asphalt production modification process parameter to be replaced with the actual asphalt production modification process parameter;
[0110] The cyclic calculation unit is used to substitute the updated first asphalt production modification process parameters and the second asphalt production modification process parameters as matching asphalt production modification process parameters into the parameter calculation unit to calculate the initial asphalt production modification process parameters.
[0111] The process of using the above system is as follows:
[0112] Step 1: The primary screening unit obtains all asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters of the production corresponding to the asphalt production modification process parameters from the asphalt production modification process parameter library stored in the storage module to form an asphalt production modification process parameter set;
[0113] Step 2: The demand matching unit determines the performance requirements of asphalt for each performance item based on the modification requirements of asphalt, and based on the performance requirements of asphalt, selects from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is better than the performance requirements of asphalt and whose comprehensive distance index with the performance requirements of asphalt is the smallest, recorded as the first asphalt production modification process parameter, and at the same time selects from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is inferior to the performance requirements of asphalt and whose comprehensive distance index with the performance requirements of asphalt is the smallest, recorded as the second asphalt production modification process parameter;
[0114] Step 3: The parameter calculation unit calculates the modification demand of asphalt and the deviation index of the matching asphalt production modification process parameters based on the deviation calculation formula, and calculates the initial asphalt production modification process parameters through the parameter fitting formula based on the deviation index and the matching asphalt production modification process parameters;
[0115] Step 4: Using the initial asphalt production modification process parameters as the actual asphalt production modification process parameters, and producing asphalt according to the actual asphalt production modification process parameters, obtaining each performance parameter of the asphalt produced by the actual asphalt production modification process parameters, and recording them as the actual asphalt performance parameter value;
[0116] Step 5: The comparison unit performs a fitting comparison based on the actual asphalt performance parameter value and the asphalt modification requirement to determine whether the actual asphalt performance parameter value meets the asphalt modification requirement;
[0117] Step 6: When the actual asphalt performance parameter value does not meet the modification requirements of asphalt, the parameter replacement unit determines the minimum value of the comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirements of asphalt and the comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirements of asphalt, and uses the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced, and replaces the asphalt production modification process parameter to be replaced with the actual asphalt production modification process parameter;
[0118] Step 7: The cyclic calculation unit uses the updated first asphalt production modification process parameters and the second asphalt production modification process parameters as matching asphalt production modification process parameters, substitutes them into the parameter calculation unit to calculate the initial asphalt production modification process parameters, and updates the stored asphalt production modification process parameter library at the same time.
[0119] In summary, the advantages of the present invention are: the optimization design of asphalt modification parameters does not rely on subjective experience judgment, and can achieve standardization of modified asphalt with any performance requirements and an efficient optimization process for modified asphalt production process parameters.
[0120] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.
Claims
1. A method for dynamic intelligent optimization of process parameters for modified asphalt production, characterized in that: include: Obtain asphalt production modification process parameter library; Acquire the properties of the current base asphalt, and retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt as the asphalt production modification process parameter set; Obtain the current modification requirements of asphalt, and select the asphalt production modification process parameters that are closest to the modification requirements of asphalt from the asphalt production modification process parameter set according to the current modification requirements of asphalt; Calculating and obtaining initial asphalt production modification process parameters based on matching asphalt production modification process parameters; The modified asphalt is produced and processed according to the initial asphalt production modification process parameters, and the asphalt production modification process parameters are optimized and updated based on the feedback training model; Add the asphalt performance parameters and asphalt production modification process parameters produced after optimization and updating to the asphalt production modification process parameter library; The method of retrieving at least one asphalt production modification process parameter corresponding to the property of the current base asphalt from the asphalt production modification process parameter library specifically according to the property of the current base asphalt includes: Obtain all asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters produced corresponding to the asphalt production modification process parameters to form an asphalt production modification process parameter set; The asphalt production modification process parameters that are closest to the asphalt modification requirements are selected from the asphalt production modification process parameter set according to the current asphalt modification requirements, and specifically include: Based on the modification requirements of asphalt, determine the performance requirements of asphalt for each property; Based on the performance requirements of asphalt, the asphalt production modification process parameter set is selected, in which each performance parameter of the produced asphalt is better than the performance requirements of asphalt, and the asphalt production modification process parameter with the smallest comprehensive distance index to the performance requirements of asphalt is recorded as the first asphalt production modification process parameter; From the asphalt production modification process parameter set, select the asphalt production modification process parameter whose every performance parameter of the produced asphalt is inferior to the performance requirement of the asphalt and whose comprehensive distance index with the performance requirement of the asphalt is the smallest, and record it as the second asphalt production modification process parameter; The first asphalt production modification process parameter and the second asphalt production modification process parameter are used as matching asphalt production modification process parameters; The calculation formula of the comprehensive distance index is: In the formula, is the comprehensive distance indicator, is the performance requirement value of the ith performance parameter, is the value of the i-th performance parameter of the asphalt produced by the asphalt production modification process parameters, is the total number of asphalt performance items; The method of calculating and obtaining the initial asphalt production modification process parameters based on matching asphalt production modification process parameters specifically includes: Based on the deviation calculation formula, calculate the asphalt modification requirements and the deviation index matching the asphalt production modification process parameters; Based on the deviation index, combined with matching asphalt production modification process parameters, the initial asphalt production modification process parameters are calculated through parameter fitting formula; The calculation formula of the deviation is specifically: In the formula, is the deviation index, is the i-th performance parameter value of the asphalt produced by the first asphalt production modification process parameter, The i-th performance parameter value of the asphalt produced by the second asphalt production modification process parameters The parameter fitting formula is specifically: In the formula, Modification process parameters for asphalt production, Modified process parameters for the first asphalt production, Modification of process parameters for second asphalt production; The production and processing of modified asphalt according to the initial asphalt production modification process parameters and the optimization and updating of the asphalt production modification process parameters based on the feedback training model specifically include: Taking the initial asphalt production modification process parameters as the actual asphalt production modification process parameters, obtaining each performance parameter of the asphalt produced by the actual asphalt production modification process parameters, and recording them as the actual asphalt performance parameter value; Based on the fitting comparison between the actual asphalt performance parameter values and the asphalt modification requirements, it is determined whether the actual asphalt performance parameter values meet the asphalt modification requirements; If yes, the actual asphalt production modification process parameters are used as the optimized and updated asphalt production modification process parameters; If not, the actual asphalt production modification process parameters are used to replace the first asphalt production modification process parameters or the second asphalt production modification process parameters, and the updated first asphalt production modification process parameters and the second asphalt production modification process parameters are used as matching asphalt production modification process parameters to calculate the initial asphalt production modification process parameters.
2. The method for dynamic intelligent optimization of modified asphalt production process parameters according to claim 1, characterized in that: The method of replacing the first asphalt production modification process parameter or the second asphalt production modification process parameter with the actual asphalt production modification process parameter is specifically: Determine the minimum value of the comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and the comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced; The actual asphalt production modification process parameters are used to replace the asphalt production modification process parameters to be replaced.
3. A dynamic intelligent optimization system for modified asphalt production process parameters, characterized in that: A method for realizing dynamic intelligent optimization of process parameters for production of modified asphalt according to any one of claims 1 to 2, comprising: A storage module, the storage module is used to store a library of asphalt production modification process parameters; An initial parameter determination module, the initial parameter determination module is electrically connected to the storage module, the initial parameter determination module is used to obtain the properties of the current base asphalt, retrieve at least one asphalt production modification process parameter corresponding to the properties of the current base asphalt from the asphalt production modification process parameter library according to the properties of the current base asphalt, as an asphalt production modification process parameter set, and obtain the modification requirements of the current asphalt, screen out the matching asphalt production modification process parameters that are closest to the modification requirements of the asphalt from the asphalt production modification process parameter set according to the modification requirements of the current asphalt, and simultaneously calculate and obtain the initial asphalt production modification process parameters based on the matching asphalt production modification process parameters; An optimization iteration module is electrically connected to the initial parameter determination module, and is used for producing and processing modified asphalt according to the initial asphalt production modification process parameters, and optimizing and updating the asphalt production modification process parameters based on the feedback training model, and adding the asphalt performance parameters and asphalt production modification process parameters produced after optimization and updating to the asphalt production modification process parameter library.
4. A modified asphalt production process parameter dynamic intelligent optimization system according to claim 3, characterized in that: The initial parameter determination module comprises: A primary screening unit, which is used to obtain all asphalt production modification process parameters that use the properties of the current base asphalt as initial asphalt parameters and the asphalt performance parameters of the production corresponding to the asphalt production modification process parameters, to form an asphalt production modification process parameter set; A demand matching unit, wherein the demand matching unit is used to determine the performance requirement of asphalt for each performance item based on the modification requirement of asphalt, and based on the performance requirement of asphalt, screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is better than the performance requirement of asphalt and whose comprehensive distance index with the performance requirement of asphalt is the smallest, recorded as the first asphalt production modification process parameter, and at the same time screen out from the asphalt production modification process parameter set the asphalt production modification process parameter whose each performance parameter of the produced asphalt is worse than the performance requirement of asphalt and whose comprehensive distance index with the performance requirement of asphalt is the smallest, recorded as the second asphalt production modification process parameter; A parameter calculation unit is used to calculate the modification requirements of asphalt and the deviation index of matching asphalt production modification process parameters based on the deviation calculation formula, and based on the deviation index, combined with matching asphalt production modification process parameters, calculate the initial asphalt production modification process parameters through the parameter fitting formula.
5. A modified asphalt production process parameter dynamic intelligent optimization system according to claim 4, characterized in that: The optimization iteration module includes: A comparison unit, the comparison unit is used to perform a fitting comparison based on the actual asphalt performance parameter value and the asphalt modification requirement, and determine whether the actual asphalt performance parameter value meets the asphalt modification requirement; A parameter replacement unit, wherein the parameter replacement unit is used to determine the minimum value of a comprehensive distance index between the asphalt produced by the first asphalt production modification process parameter and the performance requirement of asphalt and a comprehensive distance index between the asphalt produced by the second asphalt production modification process parameter and the performance requirement of asphalt when the actual asphalt performance parameter value does not meet the modification requirement of asphalt, and use the first asphalt production modification process parameter or the second asphalt production modification process parameter corresponding to the minimum value as the asphalt production modification process parameter to be replaced, and replace the asphalt production modification process parameter to be replaced with the actual asphalt production modification process parameter; A cyclic calculation unit, wherein the cyclic calculation unit is used to substitute the updated first asphalt production modification process parameters and the second asphalt production modification process parameters as matching asphalt production modification process parameters into the parameter calculation unit to calculate the initial asphalt production modification process parameters.
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