Dynamic optimization control method and system for casting busbar production environment

Abstract

The present invention discloses a method and system for dynamically optimizing the production environment of a casting busbar, and relates to the field of intelligent control technology. The method includes: obtaining casting busbar production node information and determining node production environment factors; performing control parameter analysis to obtain a set of production environment control parameters, and determining casting busbar production standards based on casting busbar application scenarios; performing casting busbar production and performing sampling inspections to obtain busbar production inspection quality; when the busbar production inspection quality does not meet the casting busbar production standard, performing quality parameter tracing to obtain target-related environment control parameters, performing global optimization, obtaining a set of production environment control optimization parameters, and performing busbar production management and control. The present invention solves the technical problem in the prior art that the casting busbar production quality is low due to poor casting busbar production environment control effect, and achieves the technical effect of improving the casting busbar production quality by dynamically optimizing the casting busbar production environment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a method and system for dynamically optimizing a casting busbar production environment. Background Art

[0002] Cast busbars are made by casting high-performance insulating resins and various inorganic minerals. The busbars are directly cast and sealed, achieving an IP68 protection rating. These new metal-free busbars offer waterproof, fireproof, corrosion-resistant, and explosion-proof properties. However, cast busbar production imposes certain environmental requirements. Temperature, humidity, and environmental cleanliness must be kept within certain limits, and current control methods are not yet intelligent enough. Summary of the Invention

[0003] The present application provides a method and system for dynamically optimizing the production environment of a casting busbar, which is used to solve the technical problem in the prior art of low casting busbar production quality due to poor control of the casting busbar production environment.

[0004] The first aspect of the present application provides a method for dynamic optimization control of a casting busbar production environment, the method comprising: obtaining casting busbar production node information; determining node production environment factors based on the casting busbar production node information; performing control parameter analysis based on the node production environment factors to obtain a set of production environment control parameters; determining a casting busbar production standard according to a casting busbar application scenario; performing casting busbar production based on the production environment control parameter set, and performing sampling inspection on the production busbar based on the casting busbar production standard to obtain busbar production inspection quality; when the busbar production inspection quality does not meet the casting busbar production standard, performing quality parameter tracing to obtain target-associated environment control parameters; performing global optimization based on the target-associated environment control parameters and the casting busbar production standard to obtain a set of production environment control optimization parameters, and performing busbar production management and control based on the production environment control optimization parameter set.

[0005] The second aspect of the present application provides a dynamic optimization control system for the production environment of a casting busbar, the system comprising: a production node information acquisition module, the production node information acquisition module is used to obtain casting busbar production node information; a node production environment factor determination module, the node production environment factor determination module is used to determine the node production environment factor based on the casting busbar production node information; a production environment control parameter acquisition module, the production environment control parameter acquisition module is used to perform control parameter analysis based on the node production environment factor to obtain a production environment control parameter set; a casting busbar production standard determination module, the casting busbar production standard determination module is used to determine the casting busbar production standard according to the casting busbar application scenario; a busbar production detection module A quality acquisition module, wherein the busbar production inspection quality acquisition module is used to produce the cast busbar based on the production environment control parameter set, and to perform sampling inspection on the production busbar based on the cast busbar production standard to obtain the busbar production inspection quality; an associated environment control parameter acquisition module, wherein the associated environment control parameter acquisition module is used to trace the quality parameters when the busbar production inspection quality does not meet the cast busbar production standard, and to obtain the target associated environment control parameters; a busbar production control module, wherein the busbar production control module is used to perform global optimization based on the target associated environment control parameters and the cast busbar production standard, to obtain the production environment control optimization parameter set, and to perform busbar production control based on the production environment control optimization parameter set.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The present application provides a method for dynamic optimization control of the casting busbar production environment, which relates to the field of intelligent control technology. The method obtains casting busbar production node information and determines node production environment factors; performs control parameter analysis to obtain a production environment control parameter set, and determines the casting busbar production standard based on the casting busbar application scenario; performs casting busbar production, and performs sampling inspection to obtain the busbar production inspection quality; when the busbar production inspection quality does not meet the casting busbar production standard, performs quality parameter tracing to obtain target-related environment control parameters, performs global optimization, obtains a production environment control optimization parameter set, and performs busbar production management and control. This solves the technical problem in the prior art of low casting busbar production quality due to poor casting busbar production environment control effect, and achieves the technical effect of improving casting busbar production quality by dynamically optimizing the casting busbar production environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0009] Figure 1 A schematic flow chart of a method for dynamically optimizing the production environment of a casting busbar provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for obtaining a set of production environment control parameters in a method for dynamically optimizing a casting busbar production environment provided in an embodiment of the present application;

[0011] Figure 3 A schematic diagram of a process for obtaining a set of production environment control optimization parameters in a method for dynamically optimizing a casting busbar production environment provided in an embodiment of the present application;

[0012] Figure 4 Schematic diagram of the structure of the dynamic optimization control system for the casting busbar production environment provided in an embodiment of the present application.

[0013] Explanation of the accompanying drawings: production node information acquisition module 11, node production environment factor determination module 12, production environment control parameter acquisition module 13, casting busbar production standard determination module 14, busbar production inspection quality acquisition module 15, associated environment control parameter acquisition module 16, busbar production management and control module 17. DETAILED DESCRIPTION

[0014] The present application provides a method for dynamically optimizing and controlling the casting busbar production environment, which is used to solve the technical problem in the prior art of low casting busbar production quality due to poor casting busbar production environment control effect.

[0015] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0016] It should be noted that the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0017] Example 1

[0018] like Figure 1 As shown, the present application provides a method for dynamic optimization control of a casting busbar production environment, the method comprising:

[0019] S100: Obtain casting busbar production node information;

[0020] Specifically, information about each production node of the cast busbar is obtained through the production process of the cast busbar. For example, cast busbar production can be divided into the following nodes: 1. Cleaning the conductor surface; 2. Applying a mold release agent to the casting mold cavity and then placing the conductor in the casting mold cavity; 3. Mixing the components of the casting shell according to mass percentage and adding them to a vacuum mixer, stirring for 3-5 minutes until uniform, to obtain the casting material; 4. Adding the casting material to the mold cavity and then curing it at room temperature; 5. Demolding, removing the busbar, and then trimming the busbar to obtain the finished product. Information such as the materials used, equipment, and operating steps for each production node is obtained separately to serve as a basic reference for subsequent environmental control.

[0021] S200: Determine node production environment factors based on the casting busbar production node information;

[0022] Specifically, based on the operating steps and finished product requirements of each production node in the casting busbar production node information, the environmental factors of each production node, that is, the environmental requirements, are determined. For example, the production environmental factors of the busbar casting node include template cleanliness, thermal stability, waterproofness, etc. The environment of each production node of the casting busbar must meet the requirements to ensure the final quality of the busbar. Therefore, the node production environment factors are extracted and can be used as control parameters for subsequent environmental control.

[0023] S300: Analyze control parameters based on the node production environment factors to obtain a set of production environment control parameters;

[0024] Further, such as Figure 2 As shown, step S300 in this embodiment of the application further includes:

[0025] S310: Obtaining the environmental control parameter value threshold of the node production environment element;

[0026] S320: randomly obtaining M environmental control parameters from the environmental control parameter value thresholds, calculating the M environmental control parameters based on a genetic algorithm, and obtaining corresponding M predicted production quality curves;

[0027] S330: Obtain a target production quality curve, compare the M predicted production quality curves with the target production quality curve, and obtain similarities of the M production quality curves;

[0028] S340: Screening is performed based on the similarity of the M production quality curves to obtain the production environment control parameter set.

[0029] Specifically, referring to the production requirements of each production node of the casting busbar, the threshold values ​​of the environmental control parameters of the production environment factors of the node are set, such as maximum temperature, minimum temperature, maximum humidity, minimum humidity, etc., and M environmental control parameters are randomly obtained from the range of the environmental control parameter threshold values. The M environmental control parameters are calculated based on the genetic algorithm to obtain the corresponding M predicted production quality curves. The genetic algorithm is a type of random search method that has evolved from the evolutionary laws of the biological world. It uses a probabilistic optimization method and can automatically obtain and adjust the optimization space and adaptively adjust the search direction. It does not require definite rules. When solving more complex combinatorial optimization problems, it can usually obtain better optimization results faster than some conventional optimization algorithms. The M predicted production quality curves are the production quality change curves of the casting busbar predicted based on the M environmental control parameters. According to the target quality requirements of the casting busbar, a target production quality curve of the casting busbar is drawn, and the M predicted production quality curves are compared with the target production quality curve respectively, and the similarity of the M production quality curves is calculated. Based on the similarity of the M production quality curves, screening is performed, and the environmental control parameter with the greatest similarity is retained as the production environment control parameter, which can make the quality of the casting busbar closer to the target quality requirements.

[0030] S400: Determine the production standard of cast busbars based on their application scenarios;

[0031] Specifically, because the cast busbar is suitable for various harsh and high-clean environments, it is widely used in various places such as shipbuilding, papermaking, power plants, substations, petrochemicals, steel metallurgy, mechanical electronics and large-scale buildings. However, due to the different environments of each application scenario, the quality requirements for the cast busbar are also different. For example, water resistance requirements: it has excellent air tightness and water tightness, can prevent the ingress of dust, and can operate reliably for a long time even under continuous immersion in water; fire resistance requirements: it needs to meet the fire protection level, can work in flames, keep the line uninterrupted, and will not release harmful gases at high temperatures; corrosion resistance requirements: corrosive gases and even corrosive liquids generated by chemical plants will splash onto electrical products, requiring the busbar to have corrosion resistance. Mechanical performance requirements: it can withstand a certain degree of mechanical impact, ensure safe use, and have good explosion-proof performance. According to different cast busbar application scenarios, different cast busbar production standards are determined, which can more flexibly control the quality of the busbar.

[0032] S500: Cast busbar production is performed based on the production environment control parameter set, and production busbars are sampled and tested based on the cast busbar production standard to obtain busbar production test quality;

[0033] Specifically, referring to the environmental control parameters of the production environment control parameter set, the environmental parameters of each production link are strictly controlled to produce the casting busbar, and a plurality of finished casting busbars are obtained. A certain number of finished casting busbars are randomly selected as samples, and quality inspection is carried out according to the casting busbar production standard to obtain the busbar quality inspection results under each of the casting busbar production standards, which can be used as basic data for subsequent busbar quality optimization.

[0034] S600: When the busbar production inspection quality does not meet the cast busbar production standard, quality parameter tracing is performed to obtain target-related environmental control parameters;

[0035] Specifically, when the busbar production inspection quality does not meet the cast busbar production standard, the quality parameters are traced according to the degree of influence of each environmental control parameter on the quality requirements of the busbar, and the environmental control parameters that need to be optimized are found. The optimized values ​​of the environmental control parameters are calculated according to the quality optimization requirements, and the optimized environmental control parameters are used as target-associated environmental control parameters, which can be used as reference data for the subsequent construction of the environmental control parameter optimization space.

[0036] Furthermore, step S600 in the embodiment of the present application further includes:

[0037] S610: Performing visual statistics on the busbar production non-standard information in the busbar production inspection quality to obtain a busbar non-standard inspection pie chart;

[0038] S620: Determine a non-conforming quality factor coefficient according to a probability area ratio of the busbar non-conforming detection pie chart;

[0039] S630: Select based on the non-standard quality factor coefficient to obtain the target optimization quality requirement;

[0040] S640: Obtaining a parameter mapping relationship between production environment control parameters and busbar production quality;

[0041] S650: Perform parameter association on the target optimization quality requirement based on the parameter mapping relationship to obtain the target association environment control parameter.

[0042] Specifically, according to the non-standard quality type, the busbar production non-standard information in the busbar production inspection quality is counted separately, and according to the proportion of each non-standard quality type, the busbar non-standard inspection pie chart is drawn. Then, based on the probability area ratio of the busbar non-standard inspection pie chart, the non-standard quality factor coefficient of each non-standard quality type is determined. For example, the probability area of ​​busbar production intensity non-standard accounts for 20%, and the corresponding non-standard quality factor coefficient is 0.2. According to the non-standard quality factor coefficient, the busbar quality type that needs to be optimized is selected, and the target optimization quality requirement of the busbar is calculated, that is, the busbar quality target that is expected to be achieved. Obtain the parameter mapping relationship between the production environment control parameters of each production node and the busbar production quality, that is, the influence relationship of each production environment control parameter on the busbar production quality. For example, after pouring, the curing temperature and humidity are too low, which makes the busbar easy to crack, and too much dust in the production environment causes poor sealing of the busbar. Based on the parameter mapping relationship, the target optimization quality requirement is parameter-associated, and the environmental control parameter value under the target optimization quality requirement is calculated, which is used as the target-associated environmental control parameter.

[0043] S700: Perform global optimization based on the target-associated environmental control parameters and the casting busbar production standard to obtain a set of production environment control optimization parameters, and perform busbar production management and control based on the set of production environment control optimization parameters.

[0044] Specifically, based on the target-associated environmental control parameters and the casting busbar production standards, a global optimization of the production environment control parameters is performed, and multiple environmental control parameters that best meet the production quality requirements are screened out as the production environment control optimization parameter set. Based on the production environment control optimization parameter set, the environmental parameters of each production node of the casting busbar are flexibly controlled to achieve the effect of improving the production quality of the casting busbar.

[0045] Further, such as Figure 3 As shown, step S700 in this embodiment of the application further includes:

[0046] S710: Build casting busbar production database;

[0047] S720: Traversing the casting busbar production database based on the target-associated environmental control parameters to construct an environmental control parameter optimization space;

[0048] S730: Constructing a production environment fitness function based on the busbar production quality evaluation index set; the production environment fitness function is specifically:

[0049] G(x)=A k ×∑ i n ＝0 f k [φ i (x)]+δ;

[0050] Among them, A k Characterizes the weight of the k-th busbar production quality evaluation index, f k [φ i (x)] is the empirical function of the i-th type control parameter related to the k-th evaluation index, A k The sum of the weights is 1, and δ represents the error constant.

[0051] S740: Perform global optimization in the environment control parameter optimization space using the production environment fitness function, and output the production environment control optimization parameter set.

[0052] Specifically, multiple environmental control parameters and corresponding production quality data over a period of time in the past (which can be three months, six months, etc., and the specific time can be adaptively adjusted according to actual conditions) are collected, and these historical data are cleaned, screened and encoded to construct a casting busbar production database. The target-related environmental control parameters are traversed in the casting busbar production database, and casting busbar production data that can meet the target-related environmental control parameters are selected. This is used as the environmental control parameter optimization space to obtain multiple production quality evaluation indicators of the busbar, such as waterproofness, corrosion resistance, etc., and a production environment fitness function is constructed based on the correlation between each production quality evaluation indicator and the production environment; the production environment fitness function is specifically: G(x)=A k ×∑ i n ＝0 f k [φ i (x)]+δ; where A k Characterizes the weight of the k-th busbar production quality evaluation index, f k [φ i (x)] is the empirical function of the i-th type control parameter related to the k-th evaluation index, A kThe sum of the weights is 1, and δ represents the error constant. The production environment fitness function is used to perform global optimization in the environment control parameter optimization space to select multiple environment control parameters that best meet production quality requirements as the production environment control optimization parameter set.

[0053] Furthermore, step S720 in this embodiment of the application further includes:

[0054] S721: Integrate the target-related environmental control parameters according to the casting busbar production standard to obtain casting busbar production characteristic dimension information;

[0055] S722: Using Yu Xuan's similarity algorithm, similarity calculation is performed on the casting busbar production feature dimension information and the casting busbar production database to obtain a busbar data similarity set;

[0056] S723: Proportionally screening the casting busbar production database based on the busbar data similarity set to obtain a busbar production environment control data set;

[0057] S724: Constructing the environmental control parameter optimization space based on the busbar production environmental control data set.

[0058] Specifically, the target-associated environmental control parameters are integrated according to the casting busbar production standards, and the casting busbar production standards are arranged according to type dimensions, such as busbar strength, busbar high temperature resistance, etc. One type of production standard corresponds to one characteristic dimension, thereby obtaining multiple casting busbar production characteristic dimension information, and using the Cosine similarity algorithm to calculate the similarity between the casting busbar production characteristic dimension information and the casting busbar production database. The cosine similarity uses the cosine value of the angle between two vectors in the vector space to measure the size of the difference between two individuals. The closer the cosine is to 1, the closer the angle between the two vectors is to 0 degrees, and the more similar the two vectors are; the closer the cosine value is to 0, the closer the angle between the two vectors is to 180 degrees, and the more dissimilar the two vectors are. By using Yu Xuan's similarity algorithm to calculate similarity, the similarity value of each casting busbar production feature dimension information and the casting busbar production data can be obtained, which is used as the busbar data similarity set. Based on the busbar data similarity set, the casting busbar production database is proportionally screened, and the casting busbar production data with higher similarity is retained. The corresponding environmental control parameters are extracted from them as the busbar production environmental control data set. Using the busbar production environmental control data set, the environmental control parameter optimization space is constructed, which can be used to optimize the production environment control.

[0059] Furthermore, step S730 in this embodiment of the application further includes:

[0060] S731: Formulate indicator empowerment rules;

[0061] S732: The expert group performs a weight analysis on the busbar production quality evaluation indicator set based on the indicator weighting rule to obtain a plurality of indicator weight analysis information;

[0062] S733: Fusing the plurality of indicator weight analysis information to obtain an indicator weight allocation result, where the indicator weight allocation result is the weight information of each indicator in the busbar production quality evaluation indicator set.

[0063] Specifically, according to the degree of influence of each busbar production quality evaluation indicator on the busbar quality, an indicator weighting rule is formulated for the busbar production quality evaluation indicator weight. Based on the indicator weighting rule, an expert group performs a weight analysis on the production quality evaluation indicators in the busbar production quality evaluation indicator set. Each expert obtains an indicator weight analysis result, and then the entire expert group jointly obtains multiple indicator weight analysis information, calculates the average value of the multiple indicator weight analysis information, and obtains the indicator weight allocation result. The indicator weight allocation result is used to allocate weights to each indicator in the busbar production quality evaluation indicator set, and the busbar production quality evaluation indicator weight is substituted into the fitness function to perform production environment fitness calculation.

[0064] In summary, the embodiments of the present application have at least the following technical effects:

[0065] This application obtains the casting busbar production node information to determine the node production environment factors; performs control parameter analysis to obtain a set of production environment control parameters, and determines the casting busbar production standard based on the casting busbar application scenario; performs casting busbar production and performs sampling inspection to obtain the busbar production inspection quality; when the busbar production inspection quality does not meet the casting busbar production standard, quality parameter traceability is performed to obtain target-related environmental control parameters, perform global optimization, obtain a set of production environment control optimization parameters, and perform busbar production management and control.

[0066] The technical effect of improving the production quality of the cast busbar is achieved by dynamically optimizing and controlling the cast busbar production environment.

[0067] Example 2

[0068] Based on the same inventive concept as the method for dynamic optimization control of the casting busbar production environment in the aforementioned embodiment, Figure 4 As shown, the present application provides a dynamic optimization control system for the casting busbar production environment. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0069] A production node information acquisition module 11 is used to acquire casting busbar production node information;

[0070] A node production environment factor determination module 12, the node production environment factor determination module 12 is used to determine node production environment factors based on the casting busbar production node information;

[0071] A production environment control parameter acquisition module 13, which is used to perform control parameter analysis based on the node production environment elements to obtain a set of production environment control parameters;

[0072] A casting busbar production standard determination module 14, which is used to determine the casting busbar production standard according to the casting busbar application scenario;

[0073] A busbar production inspection quality acquisition module 15 is used to produce a cast busbar according to the production environment control parameter set, and to perform sampling inspection on the produced busbars based on the cast busbar production standard to obtain the busbar production inspection quality;

[0074] An associated environmental control parameter obtaining module 16 is used to perform quality parameter tracing and obtain target associated environmental control parameters when the busbar production inspection quality does not meet the casting busbar production standard;

[0075] The busbar production control module 17 is used to perform global optimization based on the target-associated environmental control parameters and the casting busbar production standards, obtain a set of production environment control optimization parameters, and perform busbar production control based on the production environment control optimization parameter set.

[0076] Furthermore, the production environment control parameter acquisition module 13 is further configured to perform the following steps:

[0077] Obtaining the environmental control parameter value threshold of the node production environment element;

[0078] Randomly obtaining M environmental control parameters from the environmental control parameter value thresholds, calculating the M environmental control parameters based on a genetic algorithm, and obtaining corresponding M predicted production quality curves;

[0079] Obtaining a target production quality curve, comparing the M predicted production quality curves with the target production quality curve, and obtaining similarities of the M production quality curves;

[0080] Screening is performed based on the similarity of the M production quality curves to obtain the production environment control parameter set.

[0081] Furthermore, the associated environment control parameter obtaining module 16 is further configured to perform the following steps:

[0082] Performing visual statistics on the busbar production non-standard information in the busbar production inspection quality to obtain a busbar non-standard inspection pie chart;

[0083] Determine the non-compliance quality factor coefficient based on the probability area ratio of the busbar non-compliance detection pie chart;

[0084] Select based on the non-standard quality factor coefficient to obtain the target optimization quality requirement;

[0085] Obtain the parameter mapping relationship between production environment control parameters and busbar production quality;

[0086] Parameter association is performed on the target optimization quality requirement based on the parameter mapping relationship to obtain the target associated environmental control parameter.

[0087] Furthermore, the busbar production control module 17 is further configured to perform the following steps:

[0088] Build a casting busbar production database;

[0089] Traversing the casting busbar production database based on the target-associated environmental control parameters to construct an environmental control parameter optimization space;

[0090] According to the busbar production quality evaluation index set, a production environment fitness function is constructed; the production environment fitness function is specifically:

[0091] G(x)=A k ×∑ i n ＝0 f k [φ i (x)]+δ;

[0092] Among them, A k Characterizes the weight of the k-th busbar production quality evaluation index, f k [φ i (x)] is the empirical function of the i-th type control parameter related to the k-th evaluation index, A k The sum of the weights is 1, and δ represents the error constant.

[0093] The production environment fitness function is used to perform global optimization in the environment control parameter optimization space, and the production environment control optimization parameter set is output.

[0094] Furthermore, the busbar production control module 17 is further configured to perform the following steps:

[0095] Integrating the target-related environmental control parameters according to the casting busbar production standard to obtain casting busbar production characteristic dimension information;

[0096] Using Yu Xuan's similarity algorithm to calculate the similarity between the casting busbar production feature dimension information and the casting busbar production database, to obtain a busbar data similarity set;

[0097] Performing proportional screening on the casting busbar production database based on the busbar data similarity set to obtain a busbar production environment control data set;

[0098] Based on the busbar production environment control data set, the environment control parameter optimization space is constructed.

[0099] Furthermore, the busbar production control module 17 is further configured to perform the following steps:

[0100] Formulate indicator empowerment rules;

[0101] The expert group performs a weight analysis on the busbar production quality evaluation index set based on the index weighting rule to obtain a plurality of index weight analysis information;

[0102] The plurality of indicator weight analysis information are fused to obtain an indicator weight allocation result, where the indicator weight allocation result is the weight information of each indicator in the busbar production quality evaluation indicator set.

[0103] It should be noted that the above-mentioned order of the embodiments of the present application is for descriptive purposes only and does not represent the superiority or inferiority of the embodiments. The above description is of specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0104] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0105] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A method for dynamic optimization control of the casting busbar production environment, characterized in that: The method comprises: Get casting busbar production node information; Determining node production environment factors based on the casting busbar production node information; Performing control parameter analysis based on the node production environment factors to obtain a production environment control parameter set; Determine the production standards of cast busbars according to their application scenarios; Cast busbar production is performed based on the production environment control parameter set, and production busbars are sampled and tested based on the cast busbar production standard to obtain busbar production test quality; When the busbar production inspection quality does not meet the cast busbar production standard, quality parameter tracing is performed to obtain target-related environmental control parameters; Performing global optimization based on the target-associated environmental control parameters and the casting busbar production standard to obtain a set of production environment control optimization parameters, and performing busbar production control based on the set of production environment control optimization parameters; The obtaining of the production environment control optimization parameter set includes: Build a casting busbar production database; Traversing the casting busbar production database based on the target-associated environmental control parameters to construct an environmental control parameter optimization space; According to the busbar production quality evaluation index set, the production environment adaptability function is constructed; Performing global optimization in the environment control parameter optimization space using the production environment fitness function, and outputting the production environment control optimization parameter set; The construction of the environment control parameter optimization space includes: Integrating the target-related environmental control parameters according to the casting busbar production standard to obtain casting busbar production characteristic dimension information; Using Yu Xuan's similarity algorithm to calculate the similarity between the casting busbar production feature dimension information and the casting busbar production database, to obtain a busbar data similarity set; Performing proportional screening on the casting busbar production database based on the busbar data similarity set to obtain a busbar production environment control data set; Based on the busbar production environment control data set, constructing the environment control parameter optimization space; The production environment fitness function is specifically: Among them, A k Characterizes the weight of the k-th busbar production quality evaluation index, is the empirical function of the i-th type control parameter related to the k-th evaluation index, A k The sum of the weights is 1, and δ represents the error constant.

2. The method according to claim 1, wherein The obtaining of the production environment control parameter set includes: Obtaining the environmental control parameter value threshold of the node production environment element; Randomly obtaining M environmental control parameters from the environmental control parameter value thresholds, calculating the M environmental control parameters based on a genetic algorithm, and obtaining corresponding M predicted production quality curves; Obtaining a target production quality curve, comparing the M predicted production quality curves with the target production quality curve, and obtaining similarities of the M production quality curves; Screening is performed based on the similarity of the M production quality curves to obtain the production environment control parameter set.

3. The method according to claim 1, wherein The obtaining of target-associated environment control parameters includes: Performing visual statistics on the busbar production non-standard information in the busbar production inspection quality to obtain a busbar non-standard inspection pie chart; Determine the non-compliance quality factor coefficient based on the probability area ratio of the busbar non-compliance detection pie chart; Select based on the non-standard quality factor coefficient to obtain the target optimization quality requirement; Obtain the parameter mapping relationship between production environment control parameters and busbar production quality; Parameter association is performed on the target optimization quality requirement based on the parameter mapping relationship to obtain the target associated environmental control parameter.

4. The method according to claim 1, wherein The method comprises: Formulate indicator empowerment rules; The expert group performs a weight analysis on the busbar production quality evaluation index set based on the index weighting rule to obtain a plurality of index weight analysis information; The plurality of indicator weight analysis information are fused to obtain an indicator weight allocation result, where the indicator weight allocation result is the weight information of each indicator in the busbar production quality evaluation indicator set.

5. The dynamic optimization control system for the casting busbar production environment is characterized by: The system comprises: A production node information acquisition module, which is used to acquire casting busbar production node information; A node production environment factor determination module, the node production environment factor determination module is used to determine node production environment factors based on the casting busbar production node information; A production environment control parameter acquisition module, which is used to perform control parameter analysis based on the node production environment elements to obtain a set of production environment control parameters; A casting busbar production standard determination module, which is used to determine the casting busbar production standard according to the casting busbar application scenario; A busbar production inspection quality acquisition module is used to produce a cast busbar according to the production environment control parameter set, and to perform sampling inspection on the produced busbars based on the cast busbar production standard to obtain the busbar production inspection quality; An associated environmental control parameter acquisition module, wherein the associated environmental control parameter acquisition module is used to perform quality parameter tracing and obtain target associated environmental control parameters when the busbar production inspection quality does not meet the casting busbar production standard; A busbar production control module, configured to perform global optimization based on the target-associated environmental control parameters and the casting busbar production standard, obtain a set of production environment control optimization parameters, and perform busbar production control based on the set of production environment control optimization parameters; Furthermore, the busbar production control module is further configured to perform the following steps: Build a casting busbar production database; Traversing the casting busbar production database based on the target-associated environmental control parameters to construct an environmental control parameter optimization space; According to the busbar production quality evaluation index set, a production environment fitness function is constructed; the production environment fitness function is specifically: Among them, A k Characterizes the weight of the k-th busbar production quality evaluation index, is the empirical function of the i-th type control parameter related to the k-th evaluation index, A k The sum of the weights is 1, and δ represents the error constant; Performing global optimization in the environment control parameter optimization space using the production environment fitness function, and outputting the production environment control optimization parameter set; Furthermore, the busbar production control module is further configured to perform the following steps: Integrating the target-related environmental control parameters according to the casting busbar production standard to obtain casting busbar production characteristic dimension information; Using Yu Xuan's similarity algorithm to calculate the similarity between the casting busbar production feature dimension information and the casting busbar production database, to obtain a busbar data similarity set; Performing proportional screening on the casting busbar production database based on the busbar data similarity set to obtain a busbar production environment control data set; Based on the busbar production environment control data set, the environment control parameter optimization space is constructed.

Images