Process optimization method and system based on baby carriage production and preparation

Abstract

The invention relates to the field of industrial engineering, and discloses a process optimization method and system based on baby carriage production and preparation, and the method comprises the steps: constructing a baby carriage first prototype of a baby carriage to be constructed, and analyzing the prototype defects of the baby carriage first prototype; optimizing the first prototype of the baby carriage to obtain a second prototype of the baby carriage, analyzing the baby carriage performance of the second prototype of the baby carriage, and taking the second prototype of the baby carriage as a target baby carriage prototype of the baby carriage to be constructed; the method comprises the steps of analyzing a production process of a to-be-constructed baby carriage, determining a production waste set of the production process, constructing process optimization parameters of the production process based on the production waste set, and executing process flow management of the to-be-constructed baby carriage through the process optimization parameters. According to the invention, the process optimization effect of baby carriage production and preparation can be improved.

Description

Technical Field

[0001] The present invention relates to the field of industrial engineering, and in particular to a process optimization method and system based on the production and preparation of baby carriages. Background Art

[0002] The process flow management of baby stroller production and preparation refers to a series of management activities that systematically plan, monitor, control and optimize the entire production process of baby strollers, from design, raw material procurement, processing, assembly, inspection, packaging to finished product delivery.

[0003] Currently, the traditional process management of baby stroller production relies on manual operations and paper records. This method lacks automation and data-driven decision support due to cumbersome process tracking, manual inspection and time-consuming information exchange, resulting in low production efficiency and unstable product quality. Summary of the invention

[0004] The present invention provides a process optimization method and system based on the production and preparation of baby carriages, and its main purpose is to improve the process optimization effect in the production and preparation of baby carriages.

[0005] To achieve the above-mentioned purpose, the present invention provides a process optimization method based on the production and preparation of a baby carriage, comprising:

[0006] Acquire historical data of the baby stroller to be constructed, construct a user preference profile of the target user, establish a preference analysis algorithm for the target user corresponding to the baby stroller to be constructed based on the user preference profile, analyze the baby stroller preference requirements of the baby stroller to be constructed by using the historical data of the baby stroller and the preference analysis algorithm, identify the quasi-side weight and the scheme weight of the baby stroller preference requirements, and calculate the demand coefficient of the baby stroller preference requirements according to the quasi-side weight and the scheme weight;

[0007] constructing a first prototype of the baby stroller to be constructed according to the demand coefficient and the baby stroller preference demand;

[0008] Configuring a defect test scenario of the first prototype of the baby carriage, configuring a baby carriage driving condition of the defect test scenario, and defining interactive elements of the baby carriage driving condition, and analyzing the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements;

[0009] According to the prototype defects, the first prototype of the baby stroller is optimized to obtain the second prototype of the baby stroller, and the baby stroller performance of the second prototype of the baby stroller is analyzed using the following formula:

[0010]

[0011] Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the safety of the second prototype of the baby stroller, AI represents the comfort of the second prototype of the baby stroller, ω c represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed;

[0012] Based on the target baby stroller prototype, the production process of the baby stroller to be constructed is analyzed, and based on the production process, the production waste set of the production process is determined, based on the production waste set, the process optimization parameters of the production process are marked, and the process optimization of the baby stroller to be constructed is performed through the process optimization parameters.

[0013] Optionally, the step of establishing a preference analysis algorithm for the target user corresponding to the stroller to be constructed based on the user preference portrait includes:

[0014] Analyzing the user preference characteristics of the target user according to the user preference portrait;

[0015] Determine the preference analysis algorithm architecture of the target user;

[0016] Training the preference analysis algorithm framework based on the user preference characteristics to obtain a trained preference analysis algorithm framework;

[0017] Calculating a preference analysis accuracy coefficient of the training preference analysis algorithm architecture;

[0018] When the preference analysis accuracy coefficient meets a preset preference analysis accuracy threshold, a preference analysis algorithm for the target user is constructed based on the training preference analysis algorithm architecture.

[0019] Optionally, the identifying the criteria weight and solution weight of the stroller preference requirement includes:

[0020] Constructing a hierarchical structure of the baby stroller preference requirements, wherein the hierarchical structure includes a target layer, a criterion layer, and a solution layer;

[0021] Determining the demand objectives of the target layer;

[0022] According to the demand objectives, respectively analyzing the criteria list and the solution list of the criteria layer and the solution layer;

[0023] Based on the criterion list, constructing a criterion judgment matrix of the criterion layer;

[0024] Constructing a solution judgment matrix of the solution layer through the solution list;

[0025] Calculating the criterion weight of the criterion layer according to the criterion judgment matrix;

[0026] The solution weights of the solution layer are calculated using the solution judgment matrix.

[0027] Optionally, constructing a criterion judgment matrix of the criterion layer based on the criterion list includes:

[0028] a criteria list scaling method for constructing said criteria list;

[0029] Using the criteria list scaling method, marking the criteria scale values ​​of the criteria list;

[0030] According to the criterion scale value, the initial criterion judgment matrix of the criterion layer is constructed:

[0031] The matrix consistency coefficient of the initial criterion judgment matrix is ​​calculated using the following formula:

[0032] θ=((μ m -m) / (m-1)) / ρ

[0033] When the matrix consistency coefficient meets the preset matrix consistency coefficient threshold, the initial criterion judgment matrix is ​​used as the criterion judgment matrix of the criterion layer.

[0034] Optionally, constructing the first prototype of the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand comprises:

[0035] Constructing a baby stroller preference demand model for the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand;

[0036] Determining the baby carriage constraint conditions of the baby carriage to be constructed;

[0037] Based on the baby stroller constraint conditions and the baby stroller preference demand model, constructing the design items of the baby stroller to be constructed;

[0038] According to the design item, construct an initial first prototype of the baby stroller to be constructed;

[0039] Extracting prototype parameters of the first prototype of the initial baby carriage;

[0040] Calculating a design reliability coefficient of the first prototype of the initial baby carriage based on the prototype parameters;

[0041] When the design reliability coefficient meets a preset design reliability coefficient threshold, the initial first prototype of the baby carriage is used as the first prototype of the baby carriage to be constructed.

[0042] Optionally, analyzing the prototype defects of the first prototype of the baby stroller through the defect test scenario, the baby stroller driving condition, and the interactive element includes:

[0043] Analyzing the baby stroller strength, baby stroller stiffness, and baby stroller stability of the first baby stroller prototype according to a static test environment corresponding to the defect test scenario;

[0044] Integrate the baby stroller driving condition into the dynamic test environment corresponding to the defect test scenario to obtain a dynamic baby stroller test result, and analyze the baby stroller acceleration, baby stroller braking performance, and baby stroller turning performance of the first baby stroller prototype in the dynamic test environment based on the dynamic baby stroller test result;

[0045] Analyzing the durability, heat resistance, and cold resistance of the first prototype of the baby stroller through a reliability test environment corresponding to the defect test scenario;

[0046] Analyzing the seat comfort index and the maneuverability index of the first prototype of the baby carriage based on the user interaction test environment and the interactive elements corresponding to the defect test scenario;

[0047] The prototype defects of the first prototype of the baby stroller are analyzed according to the baby stroller strength, baby stroller stiffness, baby stroller stability, baby stroller acceleration, baby stroller braking performance, baby stroller turning performance, baby stroller durability, baby stroller heat resistance, baby stroller cold resistance, seat comfort index and controllability index.

[0048] Optionally, the analyzing the durability, heat resistance and cold resistance of the first prototype of the baby stroller through the reliability test environment corresponding to the defect test scenario includes:

[0049] determining physical parameters of the first prototype of the stroller;

[0050] Based on the physical parameters, analyzing the material constant, material length and material thickness of the first prototype of the baby carriage;

[0051] Analyzing the baby stroller stress, fatigue level, temperature change and heat flux density of the first baby stroller prototype according to the reliability test environment;

[0052] The durability of the first prototype of the baby stroller is calculated using the following formula by using the material constants, baby stroller stress and fatigue degree:

[0053] (N)=(σ)^(-h)*(S)^(n)*(C)

[0054] Wherein, (N) represents the durability of the baby stroller of the first prototype of the baby stroller, σ represents the baby stroller stress of the first prototype of the baby stroller, h represents the fatigue index of the first prototype of the baby stroller, n represents the fatigue crack growth index of the first prototype of the baby stroller, S represents the fatigue degree of the first prototype of the baby stroller, and C represents the material constant of the first prototype of the baby stroller;

[0055] According to the temperature change and the material length, the heat resistance of the baby stroller of the first prototype of the baby stroller is calculated using the following formula:

[0056] (α) = ΔT / Q0

[0057] Wherein, (α) represents the heat resistance of the first prototype of the baby stroller, ΔT represents the temperature change of the first prototype of the baby stroller, and Q0 represents the material length of the first prototype of the baby stroller;

[0058] Based on the material thickness, temperature change and heat flux density, the cold resistance of the baby stroller of the first prototype is calculated using the following formula:

[0059] (γ) = G / ΔT / Y

[0060] Among them, (γ) represents the cold resistance of the first prototype of the baby carriage, G represents the heat flux density of the first prototype of the baby carriage, ΔT represents the temperature change of the first prototype of the baby carriage, and Y represents the material thickness of the first prototype of the baby carriage.

[0061] Optionally, marking the process optimization parameters of the production process based on the production waste set includes:

[0062] Based on the production process, construct a value stream map of the baby carriage to be constructed;

[0063] Determine the value flow of the baby carriage to be constructed under the production process;

[0064] Based on the value stream map and the production waste set, identifying process waste and process bottlenecks of the production process;

[0065] Constructing a production optimization strategy for the production process based on the process waste, process bottlenecks and value streams;

[0066] Analyzing the strategy effectiveness coefficient of the production optimization strategy;

[0067] When the strategy effectiveness coefficient meets the preset strategy effectiveness threshold, the process optimization parameters of the production process are constructed according to the production optimization strategy.

[0068] Optionally, constructing a value stream map of the baby carriage to be constructed based on the production process includes:

[0069] Collecting production process data of the production process;

[0070] Based on the production process data, determining a generation process starting point, a production process end point, and a production process node of the baby carriage to be constructed;

[0071] Constructing a process timeline of the baby carriage to be constructed according to the generation process starting point and the production process end point;

[0072] Mark the link time, value-added and non-value-added activities of the production process nodes, wherein the link time includes preparation time, processing time and assembly time;

[0073] Analyze the environmental impact coefficient and resource efficiency of the production process nodes;

[0074] Constructing the current value stream diagram of the baby stroller to be constructed through the process timeline, link time, value-added, non-value-added activities, generation process starting point, production process end point and production process nodes;

[0075] Based on the environmental impact coefficient and resource efficiency, a value stream map of the current value stream map is constructed.

[0076] In order to solve the above problems, the present invention also provides a process optimization system based on the production and preparation of baby carriages, the system comprising:

[0077] A baby stroller preference demand model construction module is used to obtain baby stroller historical data of the baby stroller to be constructed, construct a user preference portrait of the target user, establish a preference analysis algorithm for the baby stroller to be constructed corresponding to the target user based on the user preference portrait, analyze the baby stroller preference demand of the baby stroller to be constructed by using the baby stroller historical data and the preference analysis algorithm, identify the quasi-side weight and scheme weight of the baby stroller preference demand, and calculate the demand coefficient of the baby stroller preference demand according to the quasi-side weight and scheme weight;

[0078] A baby stroller first prototype building module, used to build the baby stroller first prototype of the baby stroller to be built according to the demand coefficient and the baby stroller preference demand;

[0079] a prototype defect analysis module, configured to configure a defect test scenario of the first prototype of the baby carriage, configure a baby carriage driving condition of the defect test scenario, and define interactive elements of the baby carriage driving condition, and analyze the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements;

[0080] The baby stroller first prototype determination module is used to optimize the first baby stroller prototype according to the prototype defects to obtain the second baby stroller prototype, and analyze the baby stroller performance of the second baby stroller prototype using the following formula:

[0081]

[0082] Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the safety of the second prototype of the baby stroller, AI represents the comfort of the second prototype of the baby stroller, ω c represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed;

[0083] A process flow management module is used to analyze the production process of the baby stroller to be built based on the target baby stroller prototype, and based on the production process, determine the production waste set of the production process, based on the production waste set, mark the process optimization parameters of the production process, and perform process optimization of the baby stroller to be built through the process optimization parameters.

[0084] The present invention analyzes the baby stroller preference requirements of the baby stroller to be constructed through the baby stroller historical data to provide a basis for the actual baby stroller in the later stage; the present invention effectively allocates resources by calculating the demand coefficient of the baby stroller preference requirements to ensure that the design and management decisions can maximize the satisfaction of key consumer needs. Further, the present invention analyzes the prototype defects of the first prototype of the baby stroller through the defect test scene, the driving condition of the baby stroller and the interactive elements, which can be used as a basis for the optimization of the baby stroller in the later stage, thereby improving the production quality of the baby stroller. The present invention optimizes the first prototype of the baby stroller according to the prototype defects to obtain the second prototype of the baby stroller, analyzes the baby stroller performance of the second prototype of the baby stroller, and when the performance of the baby stroller meets the preset baby stroller performance standard, the second prototype of the baby stroller is used as the target baby stroller prototype to be constructed. A baby stroller with better performance and more in line with consumer needs can be obtained. Finally, based on the production waste set, the present invention marks the process optimization parameters of the production process to identify the links that can be optimized, thereby improving production efficiency and product quality. Therefore, the present invention can improve the process optimization effect under the production and preparation of baby strollers. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 A schematic flow chart of a process optimization method for the production and preparation of a baby carriage provided in one embodiment of the present invention;

[0086] Figure 2 A functional module diagram of a process optimization system based on the production and preparation of a baby carriage provided by an embodiment of the present invention;

[0087] Figure 3 A schematic diagram of the structure of an electronic device based on a process optimization system for manufacturing a baby carriage provided by an embodiment of the present invention;

[0088] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0089] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0090] The embodiment of the present application provides a process optimization method based on the production and preparation of a baby stroller. The execution subject of the process optimization method based on the production and preparation of a baby stroller includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the process optimization method based on the production and preparation of a baby stroller can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0091] Reference Figure 1 FIG. 1 is a flow chart of a process optimization method for the production and preparation of a baby carriage provided by an embodiment of the present invention. In this embodiment, the process optimization method for the production and preparation of a baby carriage includes:

[0092] S1. Acquire historical data of the baby stroller to be constructed, construct a user preference portrait of the target user, and based on the user preference portrait, establish a preference analysis algorithm for the target user corresponding to the baby stroller to be constructed, analyze the baby stroller preference requirements of the baby stroller to be constructed by using the preference analysis algorithm through the historical data of the baby stroller, and identify the quasi-side weights and solution weights of the baby stroller preference requirements, wherein the quasi-side weights refer to the relative importance of each preference requirement (such as safety, comfort, operability, durability and portability) in the overall evaluation, and the solution weights refer to the performance scores of the preference requirements in different solutions, and calculate the demand coefficient of the baby stroller preference requirements based on the quasi-side weights and solution weights.

[0093] It should be explained that the historical data of the baby stroller refers to data related to the baby stroller to be built, such as production data, customer evaluation data, competitive product analysis data, actual sales data, quality inspection data and other data.

[0094] The present invention can construct an effective user preference analysis algorithm by constructing a preference analysis algorithm corresponding to the target user of the baby stroller to be constructed, thereby helping baby stroller manufacturers to better understand the needs of the target users and thus design more popular products.

[0095] In detail, the step of establishing a preference analysis algorithm for the target user of the stroller to be constructed based on the user preference portrait includes:

[0096] Analyzing the user preference characteristics of the target user according to the user preference portrait;

[0097] Determine the preference analysis algorithm architecture of the target user;

[0098] Training the preference analysis algorithm framework based on the user preference characteristics to obtain a trained preference analysis algorithm framework;

[0099] Calculating a preference analysis accuracy coefficient of the training preference analysis algorithm architecture;

[0100] When the preference analysis accuracy coefficient meets a preset preference analysis accuracy threshold, a preference analysis algorithm for the target user is constructed based on the training preference analysis algorithm architecture.

[0101] Among them, the user preference portrait refers to a comprehensive description of the preferences, behaviors, needs and other characteristics of the target user group; the user preference characteristics refer to the key attributes or behavior patterns extracted from user data that can represent user preferences; the preference analysis algorithm architecture refers to the technical framework and methodology used when constructing a user preference analysis algorithm, including data input, processing flow, model selection, output results, etc.; the training preference analysis algorithm architecture refers to the algorithm architecture after the algorithm architecture is determined and trained using actual data so that the algorithm can learn and identify user preferences; the preference analysis accuracy coefficient refers to an indicator used to measure the prediction accuracy of the preference analysis algorithm; the preference analysis accuracy threshold refers to a pre-set accuracy standard. Only when the accuracy coefficient of the algorithm reaches or exceeds this threshold, the algorithm is considered valid; the preference analysis algorithm refers to a computational model used to analyze and predict user preferences.

[0102] The present invention analyzes the baby stroller preference requirements of the baby stroller to be constructed through the baby stroller historical data to provide a basis for the subsequent baby stroller actual design.

[0103] In detail, analyzing the baby stroller preference requirements of the baby stroller to be constructed through the baby stroller historical data includes:

[0104] Preprocessing the baby carriage historical data to obtain processed baby carriage historical data;

[0105] Analyzing the baby stroller preference demand characteristics of the baby stroller to be constructed based on the processed baby stroller historical data;

[0106] Analyzing the characteristic relationship of the baby stroller preference demand characteristics;

[0107] Based on the feature relationship, construct a baby stroller preference requirement feature tuple of the baby stroller to be constructed;

[0108] Analyzing the feature-demand relationship of the baby stroller to be constructed;

[0109] Establishing a demand analysis model for the baby stroller to be constructed through the feature-demand relationship;

[0110] The baby stroller preference requirements of the baby stroller to be constructed are analyzed using the requirement analysis model according to the baby stroller preference requirement feature tuple.

[0111] Among them, the processing of baby stroller historical data refers to the data after the baby stroller historical data is sorted, cleaned, converted and integrated, the baby stroller preference demand characteristics refer to the key preference attributes or functions related to baby strollers, such as safety, comfort, ease of use, appearance design, durability, etc., the feature relationship refers to the mutual correlation between baby stroller preference demand characteristics, for example, there is a certain correlation between functional preference requirements (such as foldable) and form preference requirements (such as light), the baby stroller preference demand feature tuple refers to a set composed of multiple baby stroller preference demand features, and these features jointly determine the requirements of one or more aspects of the baby stroller. For example, a tuple may include "color (blue)", "price (medium)", "function (foldable)", etc., and the feature-requirement relationship refers to the corresponding relationship between baby stroller preference demand characteristics and consumer needs, that is, which features can meet which needs of consumers. For example, consumers may prefer baby strollers with "high safety" and "comfort". The demand analysis model refers to a model used to analyze the relationship between baby stroller preference demand characteristics and consumer demand. It can be a statistical model, a machine learning model or a rule-based model. The baby stroller preference demand refers to the expectations and demands for baby stroller functions, shapes and performances.

[0112] Optionally, constructing the baby stroller preference requirement feature tuple of the baby stroller to be constructed based on the feature relationship may be achieved through a clustering function.

[0113] Optionally, the demand analysis model for the baby stroller to be constructed is established through the feature-demand relationship. The correlation between each feature and the market demand can be determined by a statistical analysis method to establish a feature-demand relationship; then, the feature-demand relationship is modeled using a machine learning algorithm to obtain an initial demand analysis model, and the model parameters are selected and optimized to improve prediction accuracy; finally, the initial demand analysis model training results are integrated into a demand analysis model.

[0114] The present invention effectively allocates resources by calculating the demand coefficient of the preferred demand for baby strollers, ensuring that design and management decisions can maximize the satisfaction of key consumer demands. The demand coefficient refers to the importance of the preferred demand for baby strollers.

[0115] In detail, the criterion weight and solution weight of identifying the baby stroller preference requirements include:

[0116] Constructing a hierarchical structure of the baby stroller preference requirements, wherein the hierarchical structure includes a target layer, a criterion layer, and a solution layer;

[0117] Determining the demand objectives of the target layer;

[0118] According to the demand objectives, respectively analyzing the criteria list and the solution list of the criteria layer and the solution layer;

[0119] Based on the criterion list, constructing a criterion judgment matrix of the criterion layer;

[0120] Constructing a solution judgment matrix of the solution layer through the solution list;

[0121] Calculating the criterion weight of the criterion layer according to the criterion judgment matrix;

[0122] The solution weights of the solution layer are calculated using the solution judgment matrix.

[0123] Among them, the goal layer refers to the core goal of baby stroller design and production, such as designing and producing baby strollers that meet consumer needs and expectations. The criterion layer refers to a layer of a series of criteria or standards that affect the achievement of goals. The criterion layer may include key requirements such as "safety", "comfort", "durability" and "price". The solution layer refers to a series of optional solutions or designs. The demand goal refers to the core goal or problem defined in the goal layer. The criterion list refers to all criteria or standards listed in the criterion layer. The solution list refers to all optional solutions or designs listed in the solution layer. The criterion judgment matrix refers to a matrix constructed based on the criterion list for comparing and evaluating the relative importance of criteria.

[0124] Furthermore, constructing a criterion judgment matrix of the criterion layer based on the criterion list includes:

[0125] a criteria list scaling method for constructing said criteria list;

[0126] Using the criteria list scaling method, marking the criteria scale values ​​of the criteria list;

[0127] According to the criterion scale value, the initial criterion judgment matrix of the criterion layer is constructed:

[0128] The matrix consistency coefficient of the initial criterion judgment matrix is ​​calculated using the following formula:

[0129] θ=((μ m -m) / (m-1)) / ρ

[0130] When the matrix consistency coefficient meets the preset matrix consistency coefficient threshold, the initial criterion judgment matrix is ​​used as the criterion judgment matrix of the criterion layer.

[0131] The present invention constructs the baby stroller preference demand model of the baby stroller to be constructed through the demand coefficient and the baby stroller preference demand to provide a basis for the subsequent construction of the baby stroller.

[0132] S2. Constructing a first prototype of the baby stroller to be constructed according to the demand coefficient and the baby stroller preference demand.

[0133] The present invention is based on the baby stroller preference demand model, and constructing the first prototype of the baby stroller to be constructed can serve as the basis for the production of the baby stroller.

[0134] In detail, the step of constructing the first prototype of the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand includes:

[0135] Constructing a baby stroller preference demand model for the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand;

[0136] Determining the baby carriage constraint conditions of the baby carriage to be constructed;

[0137] Based on the baby stroller constraint conditions and the baby stroller preference demand model, constructing the design items of the baby stroller to be constructed;

[0138] According to the design item, construct an initial first prototype of the baby stroller to be constructed;

[0139] Extracting prototype parameters of the first prototype of the initial baby carriage;

[0140] Calculating a design reliability coefficient of the first prototype of the initial baby carriage based on the prototype parameters;

[0141] When the design reliability coefficient meets a preset design reliability coefficient threshold, the initial first prototype of the baby carriage is used as the first prototype of the baby carriage to be constructed.

[0142] Among them, the baby stroller preference demand model refers to a model that is constructed through demand analysis and priority sorting and can reflect the consumer's demand characteristics for baby stroller functions, forms and performances, etc. The baby stroller preference demand model is a basic model for constructing the first prototype of the baby stroller to be constructed. The baby stroller constraints include production cost constraints, material availability, technical feasibility, and other conditions. The design topic refers to a series of design problems or goals formulated according to the baby stroller preference demand model and constraints. The design topic may involve the size, weight, material selection, functional design, safety performance and other topics of the baby stroller. The initial baby stroller first prototype refers to a 3D model created according to the design topic and constraints. The prototype parameters refer to key parameters extracted from the initial baby stroller first prototype, such as size, shape, weight, material properties, etc. The design reliability coefficient refers to the calculation of the reliability of the baby stroller in design based on the extracted prototype parameters. The design reliability coefficient threshold refers to the threshold used to determine whether the initial baby stroller first prototype meets the design reliability requirements. The baby stroller first prototype refers to a prototype that is considered to be a reliable design when the design reliability coefficient of the initial baby stroller first prototype meets the preset threshold.

[0143] S3. Configure a defect test scenario for the first prototype of the baby carriage, configure a baby carriage driving condition for the defect test scenario, and define interactive elements for the baby carriage driving condition; and analyze the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition, and the interactive elements.

[0144] It should be explained that the defect test scenarios include the static test environment, which refers to an environment simulating the performance of a baby stroller in a stationary state, the dynamic test environment, which refers to an environment simulating the performance of a baby stroller in motion, the reliability test environment, which refers to an environment simulating the performance of a baby stroller under long-term use or extreme conditions, and the user interaction test environment, which refers to an environment simulating the interaction between a baby stroller and a user.

[0145] The present invention configures the baby stroller driving conditions of the defect test scenario and defines the interactive elements of the baby stroller driving conditions, which can effectively simulate the actual use of the baby stroller in a virtual environment, thereby discovering and solving potential design defects or safety issues before the product is launched on the market. In detail, the baby stroller driving conditions include indoor conditions, outdoor conditions and special conditions, and the interactive elements refer to environmental factors and operating conditions that the baby stroller may interact with during driving.

[0146] The present invention analyzes the prototype defects of the first prototype of the baby stroller through the defect test scenario, the driving condition of the baby stroller and the interactive elements, which can be used as a basis for later optimization of the baby stroller, thereby improving the production quality of the baby stroller.

[0147] In detail, analyzing the prototype defects of the first prototype of the baby stroller through the defect test scenario, the driving condition of the baby stroller and the interactive element includes:

[0148] Analyzing the baby stroller strength, baby stroller stiffness, and baby stroller stability of the first baby stroller prototype according to a static test environment corresponding to the defect test scenario;

[0149] Integrate the baby stroller driving condition into the dynamic test environment corresponding to the defect test scenario to obtain a dynamic baby stroller test result, and analyze the baby stroller acceleration, baby stroller braking performance, and baby stroller turning performance of the first baby stroller prototype in the dynamic test environment based on the dynamic baby stroller test result;

[0150] Analyzing the durability, heat resistance, and cold resistance of the first prototype of the baby stroller through a reliability test environment corresponding to the defect test scenario;

[0151] Analyzing the seat comfort index and the maneuverability index of the first prototype of the baby carriage based on the user interaction test environment and the interactive elements corresponding to the defect test scenario;

[0152] The prototype defects of the first prototype of the baby stroller are analyzed according to the baby stroller strength, baby stroller stiffness, baby stroller stability, baby stroller acceleration, baby stroller braking performance, baby stroller turning performance, baby stroller durability, baby stroller heat resistance, baby stroller cold resistance, seat comfort index and controllability index.

[0153] Among them, the strength of the baby carriage refers to the maximum load-bearing capacity of the baby carriage when it is subjected to a static load, the stiffness of the baby carriage refers to the degree of deformation of the baby carriage under a static load, the stability of the baby carriage refers to the possibility that the baby carriage will not overturn or lose balance in a stationary state, the acceleration of the baby carriage refers to the performance of the baby carriage during acceleration or deceleration, the braking performance of the baby carriage refers to the response of the baby carriage during emergency braking, the turning performance of the baby carriage refers to the controllability and stability of the baby carriage when turning, the durability of the baby carriage refers to the performance maintenance ability of the baby carriage under long-term use, the heat resistance of the baby carriage refers to the performance of the baby carriage in a high temperature environment, the cold resistance of the baby carriage refers to the performance of the baby carriage in a low temperature environment, the seat comfort index refers to the comfort level of the seat supporting the user's body, the controllability index refers to the convenience and comfort of the user when operating the baby carriage, and the prototype defect refers to the extent to which the baby carriage fails to meet the expected performance indicators in a simulation test.

[0154] Further, the analyzing the durability, heat resistance and cold resistance of the first prototype of the baby stroller through the reliability test environment corresponding to the defect test scenario includes:

[0155] determining physical parameters of the first prototype of the stroller;

[0156] Based on the physical parameters, analyzing the material constant, material length and material thickness of the first prototype of the baby carriage;

[0157] Analyzing the baby stroller stress, fatigue level, temperature change and heat flux density of the first baby stroller prototype according to the reliability test environment;

[0158] The durability of the first prototype of the baby stroller is calculated using the following formula by using the material constants, baby stroller stress and fatigue degree:

[0159] (N)=(σ)^(-h)*(S)^(n)*(C)

[0160] Wherein, (N) represents the durability of the baby stroller of the first prototype of the baby stroller, σ represents the baby stroller stress of the first prototype of the baby stroller, h represents the fatigue index of the first prototype of the baby stroller, n represents the fatigue crack growth index of the first prototype of the baby stroller, S represents the fatigue degree of the first prototype of the baby stroller, and C represents the material constant of the first prototype of the baby stroller;

[0161] According to the temperature change and the material length, the heat resistance of the baby stroller of the first prototype of the baby stroller is calculated using the following formula:

[0162] (α) = ΔT / Q0

[0163] Wherein, (α) represents the heat resistance of the first prototype of the baby stroller, ΔT represents the temperature change of the first prototype of the baby stroller, and Q0 represents the material length of the first prototype of the baby stroller;

[0164] Based on the material thickness, temperature change and heat flux density, the cold resistance of the baby stroller of the first prototype is calculated using the following formula:

[0165] (γ) = G / ΔT / Y

[0166] Among them, (γ) represents the cold resistance of the first prototype of the baby carriage, G represents the heat flux density of the first prototype of the baby carriage, ΔT represents the temperature change of the first prototype of the baby carriage, and Y represents the material thickness of the first prototype of the baby carriage.

[0167] Among them, the physical parameters include material properties, mechanical properties and dynamic parameters. The material properties include: density, elastic modulus, Poisson's ratio, hardness, yield strength, fatigue limit and other properties. The mechanical properties include strength, stiffness, toughness, wear resistance, corrosion resistance and other properties. The dynamic parameters include mass, damping coefficient, elastic coefficient, frequency, mode and other parameters. Among them, the material constant refers to the constant describing the fatigue performance of the material, the material length refers to the length dimension of the baby carriage material, the material thickness refers to the thickness dimension of the baby carriage material, the baby carriage stress refers to the magnitude of the internal force per unit area of ​​the material under force, the fatigue degree refers to the description of the fatigue damage degree of the material under the action of alternating stress, the temperature change refers to the performance change of the baby carriage under temperature change, and the heat flux density refers to the heat flux volume per unit area.

[0168] S4. According to the prototype defects, the first prototype of the baby stroller is optimized to obtain a second prototype of the baby stroller, and the baby stroller performance of the second prototype of the baby stroller is analyzed. When the performance of the baby stroller meets the preset baby stroller performance standard, the second prototype of the baby stroller is used as the target baby stroller prototype of the baby stroller to be constructed.

[0169] According to the prototype defects, the present invention optimizes the first prototype of the baby stroller to obtain the second prototype of the baby stroller, analyzes the baby stroller performance of the second prototype of the baby stroller, and when the performance of the baby stroller meets the preset baby stroller performance standard, the second prototype of the baby stroller is used as the target baby stroller prototype to be constructed to obtain a baby stroller with better performance and more in line with consumer needs. Among them, the second prototype of the baby stroller refers to a model in which the material, structure, size, etc. of the baby stroller are adjusted and optimized based on the original design according to the test results and analysis data, the performance of the baby stroller refers to various performance indicators shown in actual use of the baby stroller, including safety, comfort, durability, handling, stability, power performance and other indicators of the baby stroller, the performance standard of the baby stroller refers to a series of standards and requirements for measuring the performance of the baby stroller, and the target baby stroller prototype refers to a prototype that has been iteratively designed and tested for many times and finally confirmed that its performance reaches or exceeds the performance target set by the enterprise.

[0170] S5. Based on the target baby stroller prototype, analyze the production process of the baby stroller to be constructed, and based on the production process, determine the production waste set of the production process, based on the production waste set, mark the process optimization parameters of the production process, and perform process optimization of the baby stroller to be constructed through the process optimization parameters.

[0171] It should be explained that the production process refers to a series of continuous operations and steps that transform the raw materials or semi-finished products of a baby stroller into the final baby stroller product.

[0172] In detail, marking the process optimization parameters of the production process based on the production waste set includes:

[0173] Based on the production process, construct a value stream map of the baby carriage to be constructed;

[0174] Determine the value flow of the baby carriage to be constructed under the production process;

[0175] Based on the value stream map and the production waste set, identifying process waste and process bottlenecks of the production process;

[0176] Constructing a production optimization strategy for the production process based on the process waste, process bottlenecks and value streams;

[0177] Analyzing the strategy effectiveness coefficient of the production optimization strategy;

[0178] When the strategy effectiveness coefficient meets the preset strategy effectiveness threshold, the process optimization parameters of the production process are constructed according to the production optimization strategy.

[0179] Among them, the value stream may include goals such as improving production efficiency, reducing costs, and shortening delivery time. The production waste set includes but is not limited to wasteful behaviors such as waiting time, unnecessary handling, excess inventory, overproduction, and defects in the production process. The process waste refers to any activities or links in the production process that do not increase the value of the product. The process bottleneck refers to the slowest link in the production process, which limits the production capacity of the entire process. The production optimization strategy refers to specific measures or methods taken to improve production efficiency, reduce costs, and improve quality. The optimization strategy may include improving process design, implementing lean production, improving equipment utilization, optimizing material management, and improving employee skills. The strategy effectiveness coefficient refers to an indicator for evaluating the effectiveness of the production optimization strategy. The strategy effectiveness threshold refers to the standard or threshold for determining whether the production optimization strategy is effective. The process optimization parameters refer to production process parameters adjusted according to the production optimization strategy, such as production speed, equipment configuration, personnel allocation, material management strategy and other parameters.

[0180] Furthermore, constructing a value stream map of the baby carriage to be constructed based on the production process includes:

[0181] Collecting production process data of the production process;

[0182] Based on the production process data, determining a generation process starting point, a production process end point, and a production process node of the baby carriage to be constructed;

[0183] Constructing a process timeline of the baby carriage to be constructed according to the generation process starting point and the production process end point;

[0184] Mark the link time, value-added and non-value-added activities of the production process nodes, wherein the link time includes preparation time, processing time and assembly time;

[0185] Analyze the environmental impact coefficient and resource efficiency of the production process nodes;

[0186] Constructing the current value stream diagram of the baby stroller to be constructed through the process timeline, link time, value-added, non-value-added activities, generation process starting point, production process end point and production process nodes;

[0187] Based on the environmental impact coefficient and resource efficiency, a value stream map of the current value stream map is constructed.

[0188] Among them, the production process data refers to all data related to the production process of baby carriages, including the time, cost and quality data of raw material procurement, processing, assembly, inspection, packaging and other links; the process timeline refers to the timeline of the production process; the link time refers to the time required for each link in the production process, including preparation time, processing time, assembly time, etc.; the value-added refers to activities that increase the value of the product in the production process, such as material processing, component assembly, etc.; the non-value-added activities refer to activities that do not increase the value of the product in the production process, such as waiting, handling, inspection, etc.; the generation process starting point refers to the starting point of the production process; the production process end point refers to the end point of the production process; and the production process node refers to the key steps or links in the production process. The preparation time refers to the time required before the start of the production process, the processing time refers to the time used to process raw materials and parts in the production process, the assembly time refers to the time used to assemble parts and finished products in the production process, the environmental impact coefficient refers to the measure of the negative impact of production activities on the environment, such as energy consumption, waste generation, etc., the resource efficiency refers to the measure of the efficiency of resource utilization in the production process, including indicators such as raw materials, energy, and labor, the current value stream map refers to a detailed diagram that shows the flow of materials and information in the value creation process, including all value-added and non-value-added activities, and the value stream map refers to a more comprehensive diagram that not only includes the content of the current value stream map, but also takes into account the environmental impact coefficient and resource efficiency.

[0189] The present invention analyzes the baby stroller preference requirements of the baby stroller to be constructed through the baby stroller historical data to provide a basis for the actual baby stroller in the later stage; the present invention effectively allocates resources by calculating the demand coefficient of the baby stroller preference requirements to ensure that the design and management decisions can maximize the satisfaction of key consumer needs. Further, the present invention analyzes the prototype defects of the first prototype of the baby stroller through the defect test scene, the driving condition of the baby stroller and the interactive elements, which can be used as a basis for the optimization of the baby stroller in the later stage, thereby improving the production quality of the baby stroller. The present invention optimizes the first prototype of the baby stroller according to the prototype defects to obtain the second prototype of the baby stroller, analyzes the baby stroller performance of the second prototype of the baby stroller, and when the performance of the baby stroller meets the preset baby stroller performance standard, the second prototype of the baby stroller is used as the target baby stroller prototype to be constructed. A baby stroller with better performance and more in line with consumer needs can be obtained. Finally, based on the production waste set, the present invention marks the process optimization parameters of the production process to identify the links that can be optimized, thereby improving production efficiency and product quality. Therefore, the present invention can improve the process optimization effect under the production and preparation of baby strollers.

[0190] like Figure 2 1 is a functional module diagram of a process optimization system based on the production and preparation of baby carriages provided by an embodiment of the present invention.

[0191] The process optimization system 200 based on the production and preparation of baby carriages described in the present invention can be installed in an electronic device. According to the functions implemented, the process optimization system 200 based on the production and preparation of baby carriages can include a baby carriage preference demand model construction module 201, a baby carriage first prototype construction module 202, a prototype defect analysis module 203, a baby carriage first prototype determination module 204 and a process flow management module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0192] In this embodiment, the functions of each module / unit are as follows:

[0193] The baby stroller preference demand model building module 201 is used to obtain the baby stroller historical data of the baby stroller to be built, build the user preference portrait of the target user, and establish the preference analysis algorithm of the baby stroller to be built corresponding to the target user based on the user preference portrait. Through the baby stroller historical data, the baby stroller preference demand of the baby stroller to be built is analyzed by using the preference analysis algorithm, and the quasi-side weight and solution weight of the baby stroller preference demand are identified, wherein the quasi-side weight refers to the relative importance of each preference demand (such as safety, comfort, operability, durability and portability) in the overall evaluation, and the solution weight refers to the performance score of the preference demand in different solutions. According to the quasi-side weight and solution weight, the demand coefficient of the baby stroller preference demand is calculated;

[0194] The baby stroller first prototype building module 202 is used to build the baby stroller first prototype of the baby stroller to be built according to the demand coefficient and the baby stroller preference demand;

[0195] The prototype defect analysis module 203 is used to configure a defect test scenario of the first prototype of the baby carriage, configure a baby carriage driving condition of the defect test scenario, and define interactive elements of the baby carriage driving condition, and analyze the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements;

[0196] The baby stroller first prototype determination module 204 is used to optimize the baby stroller first prototype according to the prototype defects to obtain the baby stroller second prototype, and analyze the baby stroller performance of the baby stroller second prototype using the following formula:

[0197]

[0198] Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the safety of the second prototype of the baby stroller, AI represents the comfort of the second prototype of the baby stroller, ωc represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed;

[0199] The process flow management module 205 is used to analyze the production process of the baby stroller to be constructed based on the target baby stroller prototype, and determine the production waste set of the production process based on the production process, mark the process optimization parameters of the production process based on the production waste set, and perform process optimization of the baby stroller to be constructed through the process optimization parameters.

[0200] In detail, the modules described in the process optimization system 200 based on the production and preparation of baby carriages described in the embodiment of the present invention adopt the same technical means as the process optimization method based on the production and preparation of baby carriages described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0201] An embodiment of the present invention provides an electronic device for implementing a process optimization method based on the production and preparation of a baby carriage.

[0202] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a process optimization method program based on the production and preparation of a baby carriage.

[0203] Wherein, the processor may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules stored in the memory (for example, executing the process optimization program based on the production and preparation of the baby carriage, etc.), and calls the data stored in the memory to execute various functions of the electronic device and process data.

[0204] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory may be an internal storage unit of an electronic device in some embodiments, such as a mobile hard disk of the electronic device. The memory may also be an external storage device of an electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory may be used not only to store application software and various types of data installed in the electronic device, such as codes based on process optimization programs based on the production and preparation of baby carriages, but also to temporarily store data that has been output or is to be output.

[0205] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0206] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0207] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0208] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0209] The process optimization program based on the production and preparation of baby carriages stored in the memory of the electronic device is a combination of multiple instructions. When running in the processor, it can achieve:

[0210] Acquire historical data of the baby stroller to be constructed, construct a user preference profile of the target user, establish a preference analysis algorithm for the target user corresponding to the baby stroller to be constructed based on the user preference profile, analyze the baby stroller preference requirements of the baby stroller to be constructed by using the preference analysis algorithm through the historical data of the baby stroller, and identify the quasi-side weight and scheme weight of the baby stroller preference requirements, wherein the quasi-side weight refers to the relative importance of each preference requirement (such as safety, comfort, operability, durability and portability) in the overall evaluation, and the scheme weight refers to the performance score of the preference requirement in different schemes, and calculate the demand coefficient of the baby stroller preference requirement according to the quasi-side weight and scheme weight;

[0211] constructing a first prototype of the baby stroller to be constructed according to the demand coefficient and the baby stroller preference demand;

[0212] Configuring a defect test scenario of the first prototype of the baby carriage, configuring a baby carriage driving condition of the defect test scenario, and defining interactive elements of the baby carriage driving condition, and analyzing the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements;

[0213] According to the prototype defects, the first prototype of the baby stroller is optimized to obtain the second prototype of the baby stroller, and the baby stroller performance of the second prototype of the baby stroller is analyzed using the following formula:

[0214]

[0215] Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω srepresents the weight of the safety of the second prototype of the baby stroller, AI represents the comfort of the second prototype of the baby stroller, ω c represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed;

[0216] Based on the target baby stroller prototype, the production process of the baby stroller to be constructed is analyzed, and based on the production process, the production waste set of the production process is determined, based on the production waste set, the process optimization parameters of the production process are marked, and the process optimization of the baby stroller to be constructed is performed through the process optimization parameters.

[0217] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0218] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0219] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0220] Acquire historical data of the baby stroller to be constructed, construct a user preference profile of the target user, establish a preference analysis algorithm for the target user corresponding to the baby stroller to be constructed based on the user preference profile, analyze the baby stroller preference requirements of the baby stroller to be constructed by using the preference analysis algorithm through the historical data of the baby stroller, and identify the quasi-side weight and scheme weight of the baby stroller preference requirements, wherein the quasi-side weight refers to the relative importance of each preference requirement (such as safety, comfort, operability, durability and portability) in the overall evaluation, and the scheme weight refers to the performance score of the preference requirement in different schemes, and calculate the demand coefficient of the baby stroller preference requirement according to the quasi-side weight and scheme weight;

[0221] constructing a first prototype of the baby stroller to be constructed according to the demand coefficient and the baby stroller preference demand;

[0222] Configuring a defect test scenario of the first prototype of the baby carriage, configuring a baby carriage driving condition of the defect test scenario, and defining interactive elements of the baby carriage driving condition, and analyzing the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements;

[0223] According to the prototype defects, the first prototype of the baby stroller is optimized to obtain the second prototype of the baby stroller, and the baby stroller performance of the second prototype of the baby stroller is analyzed using the following formula:

[0224]

[0225] Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the safety of the second prototype of the baby stroller, AI represents the comfort of the second prototype of the baby stroller, ω e represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed;

[0226] Based on the target baby stroller prototype, the production process of the baby stroller to be constructed is analyzed, and based on the production process, the production waste set of the production process is determined, based on the production waste set, the process optimization parameters of the production process are marked, and the process optimization of the baby stroller to be constructed is performed through the process optimization parameters.

[0227] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0228] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0229] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0230] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0231] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0232] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0233] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0234] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A process optimization method based on the production and preparation of baby carriages, characterized in that: The method comprises: Acquire historical data of the baby stroller to be constructed, construct a user preference profile of the target user, establish a preference analysis algorithm for the target user corresponding to the baby stroller to be constructed based on the user preference profile, analyze the baby stroller preference requirements of the baby stroller to be constructed by using the historical data of the baby stroller and the preference analysis algorithm, identify the quasi-side weight and the scheme weight of the baby stroller preference requirements, and calculate the demand coefficient of the baby stroller preference requirements according to the quasi-side weight and the scheme weight; constructing a first prototype of the baby stroller to be constructed according to the demand coefficient and the baby stroller preference demand; Configuring a defect test scenario of the first prototype of the baby carriage, configuring a baby carriage driving condition of the defect test scenario, and defining interactive elements of the baby carriage driving condition, and analyzing the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements; According to the prototype defects, the first prototype of the baby stroller is optimized to obtain the second prototype of the baby stroller, and the baby stroller performance of the second prototype of the baby stroller is analyzed using the following formula: Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the second prototype of the baby stroller corresponding to safety, AI represents the comfort of the second prototype of the baby stroller, ω c represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed; Based on the target baby stroller prototype, the production process of the baby stroller to be constructed is analyzed, and based on the production process, the production waste set of the production process is determined, based on the production waste set, the process optimization parameters of the production process are marked, and the process optimization of the baby stroller to be constructed is performed through the process optimization parameters.

2. The process optimization method based on the production and preparation of baby carriages according to claim 1, characterized in that: The step of establishing a preference analysis algorithm for the target user corresponding to the stroller to be constructed based on the user preference portrait comprises: Analyzing the user preference characteristics of the target user according to the user preference portrait; Determine the preference analysis algorithm architecture of the target user; Training the preference analysis algorithm framework based on the user preference characteristics to obtain a trained preference analysis algorithm framework; Calculating a preference analysis accuracy coefficient of the training preference analysis algorithm architecture; When the preference analysis accuracy coefficient meets a preset preference analysis accuracy threshold, a preference analysis algorithm for the target user is constructed based on the training preference analysis algorithm architecture.

3. The process optimization method based on the production and preparation of baby carriages according to claim 2, characterized in that: The criterion weight and solution weight for identifying the preference requirements of the stroller include: Constructing a hierarchical structure of the baby stroller preference requirements, wherein the hierarchical structure includes a target layer, a criterion layer, and a solution layer; Determining the demand objectives of the target layer; According to the demand objectives, respectively analyzing the criteria list and the solution list of the criteria layer and the solution layer; Based on the criterion list, constructing a criterion judgment matrix of the criterion layer; Constructing a solution judgment matrix of the solution layer through the solution list; Calculating the criterion weight of the criterion layer according to the criterion judgment matrix; The solution weights of the solution layer are calculated using the solution judgment matrix.

4. The process optimization method based on the production and preparation of baby carriages according to claim 3, characterized in that: The step of constructing a criterion judgment matrix of the criterion layer based on the criterion list includes: a criteria list scaling method for constructing said criteria list; Using the criteria list scaling method, marking the criteria scale values ​​of the criteria list; According to the criterion scale value, the initial criterion judgment matrix of the criterion layer is constructed: The matrix consistency coefficient of the initial criterion judgment matrix is ​​calculated using the following formula: θ=((μ m -m) / (m-1)) / ρ When the matrix consistency coefficient meets the preset matrix consistency coefficient threshold, the initial criterion judgment matrix is ​​used as the criterion judgment matrix of the criterion layer.

5. The process optimization method based on the production and preparation of baby carriages according to claim 4, characterized in that: The step of constructing a first prototype of the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand comprises: Constructing a baby stroller preference demand model for the baby stroller to be constructed by using the demand coefficient and the baby stroller preference demand; Determining the baby carriage constraint conditions of the baby carriage to be constructed; Based on the baby stroller constraint conditions and the baby stroller preference demand model, constructing the design items of the baby stroller to be constructed; According to the design item, construct an initial first prototype of the baby stroller to be constructed; Extracting prototype parameters of the first prototype of the initial baby carriage; Calculating a design reliability coefficient of the first prototype of the initial baby carriage based on the prototype parameters; When the design reliability coefficient meets a preset design reliability coefficient threshold, the initial first prototype of the baby carriage is used as the first prototype of the baby carriage to be constructed.

6. The process optimization method based on the production and preparation of baby carriages according to claim 5, characterized in that: The analyzing the prototype defects of the first prototype of the baby carriage by using the defect test scenario, the driving condition of the baby carriage and the interactive element includes: Analyzing the baby stroller strength, baby stroller stiffness, and baby stroller stability of the first baby stroller prototype according to a static test environment corresponding to the defect test scenario; Integrate the baby stroller driving condition into the dynamic test environment corresponding to the defect test scenario to obtain a dynamic baby stroller test result, and analyze the baby stroller acceleration, baby stroller braking performance, and baby stroller turning performance of the first baby stroller prototype in the dynamic test environment based on the dynamic baby stroller test result; Analyzing the durability, heat resistance, and cold resistance of the first prototype of the baby stroller through a reliability test environment corresponding to the defect test scenario; Analyzing the seat comfort index and the maneuverability index of the first prototype of the baby carriage based on the user interaction test environment and the interactive elements corresponding to the defect test scenario; The prototype defects of the first prototype of the baby stroller are analyzed according to the baby stroller strength, baby stroller stiffness, baby stroller stability, baby stroller acceleration, baby stroller braking performance, baby stroller turning performance, baby stroller durability, baby stroller heat resistance, baby stroller cold resistance, seat comfort index and controllability index.

7. The process optimization method based on the production and preparation of baby carriages according to claim 6, characterized in that: The analyzing the durability, heat resistance and cold resistance of the first prototype of the baby stroller through the reliability test environment corresponding to the defect test scenario includes: determining physical parameters of the first prototype of the stroller; Based on the physical parameters, analyzing the material constant, material length and material thickness of the first prototype of the baby carriage; Analyzing the baby stroller stress, fatigue level, temperature change and heat flux density of the first baby stroller prototype according to the reliability test environment; The durability of the first prototype of the baby stroller is calculated using the following formula by using the material constants, baby stroller stress and fatigue degree: (N)=(σ)^(-h)*(S)^(n)*(C) Wherein, (N) represents the durability of the baby stroller of the first prototype of the baby stroller, σ represents the baby stroller stress of the first prototype of the baby stroller, h represents the fatigue index of the first prototype of the baby stroller, n represents the fatigue crack growth index of the first prototype of the baby stroller, S represents the fatigue degree of the first prototype of the baby stroller, and C represents the material constant of the first prototype of the baby stroller; According to the temperature change and the material length, the heat resistance of the baby stroller of the first prototype of the baby stroller is calculated using the following formula: (α) = ΔT / Q0 Wherein, (α) represents the heat resistance of the first prototype of the baby stroller, ΔT represents the temperature change of the first prototype of the baby stroller, and Q0 represents the material length of the first prototype of the baby stroller; Based on the material thickness, temperature change and heat flux density, the cold resistance of the baby stroller of the first prototype is calculated using the following formula: (γ) = G / ΔT / Y Among them, (γ) represents the cold resistance of the first prototype of the baby carriage, G represents the heat flux density of the first prototype of the baby carriage, ΔT represents the temperature change of the first prototype of the baby carriage, and Y represents the material thickness of the first prototype of the baby carriage.

8. The process optimization method based on the production and preparation of baby carriages according to claim 7, characterized in that: The step of marking the process optimization parameters of the production process based on the production waste set includes: Based on the production process, construct a value stream map of the baby carriage to be constructed; Determine the value flow of the baby carriage to be constructed under the production process; Based on the value stream map and the production waste set, identifying process waste and process bottlenecks of the production process; Constructing a production optimization strategy for the production process based on the process waste, process bottlenecks and value streams; Analyzing the strategy effectiveness coefficient of the production optimization strategy; When the strategy effectiveness coefficient meets the preset strategy effectiveness threshold, the process optimization parameters of the production process are constructed according to the production optimization strategy.

9. The process optimization method based on the production and preparation of baby carriages according to claim 8, characterized in that: The step of constructing a value stream map of the baby carriage to be constructed based on the production process includes: Collecting production process data of the production process; Based on the production process data, determining a generation process starting point, a production process end point, and a production process node of the baby carriage to be constructed; Constructing a process timeline of the baby carriage to be constructed according to the generation process starting point and the production process end point; Mark the link time, value-added and non-value-added activities of the production process nodes, wherein the link time includes preparation time, processing time and assembly time; Analyze the environmental impact coefficient and resource efficiency of the production process nodes; Constructing the current value stream diagram of the baby stroller to be constructed through the process timeline, link time, value-added, non-value-added activities, generation process starting point, production process end point and production process nodes; Based on the environmental impact coefficient and resource efficiency, a value stream map of the current value stream map is constructed.

10. A process optimization system based on the production and preparation of baby carriages, characterized in that: The system is used to execute the process optimization method based on the production and preparation of baby carriages as described in any one of claims 1 to 9, and comprises: A baby stroller preference demand model construction module is used to obtain baby stroller historical data of the baby stroller to be constructed, construct a user preference portrait of the target user, establish a preference analysis algorithm for the baby stroller to be constructed corresponding to the target user based on the user preference portrait, analyze the baby stroller preference demand of the baby stroller to be constructed by using the baby stroller historical data and the preference analysis algorithm, identify the quasi-side weight and scheme weight of the baby stroller preference demand, and calculate the demand coefficient of the baby stroller preference demand according to the quasi-side weight and scheme weight; A baby stroller first prototype building module, used to build the baby stroller first prototype of the baby stroller to be built according to the demand coefficient and the baby stroller preference demand; a prototype defect analysis module, configured to configure a defect test scenario of the first prototype of the baby carriage, configure a baby carriage driving condition of the defect test scenario, and define interactive elements of the baby carriage driving condition, and analyze the prototype defects of the first prototype of the baby carriage through the defect test scenario, the baby carriage driving condition and the interactive elements; The baby stroller first prototype determination module is used to optimize the first baby stroller prototype according to the prototype defects to obtain the second baby stroller prototype, and analyze the baby stroller performance of the second baby stroller prototype using the following formula: Among them, CPI represents the performance of the second prototype of the baby stroller, SI represents the safety of the second prototype of the baby stroller, ω s represents the weight of the second prototype of the baby stroller corresponding to safety, AI represents the comfort of the second prototype of the baby stroller, ω c represents the weight of the second prototype of the baby stroller corresponding to comfort, TM represents the operability of the second prototype of the baby stroller, ω o represents the weight of the second prototype of the baby stroller corresponding to the operability, WI represents the durability of the second prototype of the baby stroller, ω d represents the weight of the second prototype of the baby stroller corresponding to durability, FSR represents the portability of the second prototype of the baby stroller, ω p Indicates the weight of the second prototype of the baby carriage corresponding to the portability; when the performance of the baby carriage meets the preset baby carriage performance standard, the second prototype of the baby carriage is used as the target baby carriage prototype to be constructed; A process flow management module is used to analyze the production process of the baby stroller to be built based on the target baby stroller prototype, and based on the production process, determine the production waste set of the production process, based on the production waste set, mark the process optimization parameters of the production process, and perform process optimization of the baby stroller to be built through the process optimization parameters.

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