Production control system and method for garden plastic products
By using quality scoring algorithm, raw material ratio control algorithm and equipment parameter dynamic adjustment algorithm in the production of garden plastic products, the problems of incomplete raw material quality scoring, inflexible proportioning and static equipment adjustment in traditional methods are solved, and efficient and stable production processes and high-quality products are achieved.
Patent Information
- Application Number
- CN202510158123.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-05-02
AI Technical Summary
Traditional garden plastic products production control methods cannot fully reflect the comprehensive quality of raw materials, resulting in inflexible and accurate distribution, and the equipment adjustment process is static, so it cannot respond to changes in raw material distribution during the production process in real time.
The quality scoring algorithm is used to combine linear weight coefficients and exponential attenuation function to evaluate the comprehensive quality of raw materials; through the raw material ratio control algorithm, considering the quality score, synergy and scarcity of raw materials, the raw material delivery ratio is dynamically adjusted; the equipment parameter dynamic adjustment algorithm is used to adjust the equipment's regulation parameters in real time according to the changes in raw material ratio and feedback deviations in the production process.
It realizes an accurate evaluation of raw material quality, optimizes raw material ratio, improves production efficiency and product quality consistency, ensures the stability and adaptability of equipment, and reduces production costs.
Smart Images
Figure CN119910815A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of control, and in particular to a production control system and method for garden plastic products. Background Art
[0002] The application of garden plastic products is becoming more and more extensive, mainly covering the fields of landscaping, farmland irrigation, and soil and water conservation. The advantages of garden plastic products are obvious: light weight, corrosion resistance, aging resistance, easy installation, low cost, and long service life. However, the production process of garden plastic products involves complex process control, especially in terms of raw material ratio, extrusion molding, mold temperature control, surface treatment and dimensional stability. Strict management and optimization are required. As the market's requirements for product quality, environmental performance and customization continue to increase, the complexity of the production control system of garden plastic products is also gradually increasing. Traditional manual or semi-automatic production methods can no longer meet the modern garden plastic product manufacturing requirements where large-scale production and personalized needs coexist.
[0003] With the deepening of the concept of Industry 4.0, a production control system and method for garden plastic products has emerged. By introducing automated, intelligent and environmentally friendly production control methods, it can not only improve product quality and meet diversified market demands, but also significantly improve production efficiency, reduce costs and enhance the market competitiveness of enterprises. The modern garden plastic product production control system is not only an advancement in process technology, but also an important practice that conforms to the current industrial trend of energy conservation, emission reduction and green development.
[0004] However, the existing production control methods for garden plastic products have the following technical problems: in traditional quality scoring models, only the direct impact of a single attribute on raw material quality is often considered, while the complex interaction effects that may exist between different attributes are ignored, resulting in the scoring results being unable to fully reflect the comprehensive quality of the raw materials; the traditional raw material proportioning method only relies on a single quality score to determine the raw material input ratio, ignoring the synergistic effect between different raw materials and the impact of raw material scarcity on the ratio, resulting in the ratio being inflexible and inaccurate, and unable to optimize production efficiency and product quality consistency; the equipment adjustment process in the traditional method is usually static and cannot respond to changes in the raw material ratio during the production process in real time. Improper equipment settings may lead to low production efficiency, equipment failure or production interruption. Summary of the invention
[0005] The present invention provides a production control system and method for garden plastic products, so as to solve the problems that in traditional quality scoring models, only the direct influence of a single attribute on the quality of raw materials is often considered, while the complex interaction effects that may exist between different attributes are ignored, resulting in that the scoring results cannot fully reflect the comprehensive quality of the raw materials; the traditional raw material proportioning method only relies on a single quality score to determine the input ratio of raw materials, ignoring the synergistic effect between different raw materials and the influence of raw material scarcity on the proportioning, resulting in the proportioning being not flexible and accurate enough, and the production efficiency and product quality consistency cannot be optimized; the equipment adjustment process in the traditional method is usually static, and it is impossible to respond to the changes in the raw material proportioning in the production process in real time, and improper equipment settings may lead to technical problems such as low production efficiency, equipment failure or production interruption.
[0006] A production control system and method for garden plastic products of the present invention specifically includes the following technical solutions: A production control method for garden plastic products comprises the following steps: S1: Collect attribute data of various raw materials, and use a quality scoring algorithm to score the quality of each raw material based on the attribute data to calculate the quality score of the raw material; S2: Based on the quality score of the raw materials, the raw material ratio control algorithm is used to calculate the raw material ratio; S3: Use the equipment parameter dynamic adjustment algorithm and the adaptive feedback mechanism to calculate the equipment control parameters according to the changes in the raw material ratio and the deviations fed back during the production process of garden plastic products, and then control the production equipment.
[0007] Preferably, the S1 specifically includes: The quality scoring algorithm multiplies the value of each attribute of each raw material by the linear weight coefficient of the attribute, and describes the nonlinear regulatory effect of the attribute on the quality score of the raw material through an exponential decay function.
[0008] Preferably, the S1 specifically includes: In the implementation process of the quality scoring algorithm, the mutual information of different attributes is calculated to quantify the dependency between two attributes and obtain the quality score of the raw material. The specific calculation formula is: , in, Indicates Quality rating of the raw materials; Indicates The first raw material The value of an attribute; Represents a single attribute influence item; represents the weighted sum of all attributes. is the number of attributes for each raw material; Indicates The linear weight coefficient of each attribute; represents the nonlinear moderating effect of the attribute on the quality score of the raw material described by an exponential decay function; Indicates Nonlinear adjustment factor for each attribute; Represents the interaction terms between attributes; Indicates The attributes and The interaction coefficients between the attributes; Indicates The first raw material The attributes and The mutual information between attributes; Indicates The first raw material The value of an attribute.
[0009] Preferably, the S2 specifically includes: The raw material ratio control algorithm adjusts the input ratio of each raw material according to the complementarity between different raw materials by introducing a synergistic factor; the input ratio of the raw materials is obtained by normalizing the quality score and combining the adjustment of the synergistic factor, the logarithmic function and the scarcity adjustment item.
[0010] Preferably, the S2 specifically includes: The formula for calculating the proportion of raw materials is: , in, Indicates The proportion of raw materials used; Indicates Quality rating of the raw materials; It indicates the sensitivity of controlling the ratio and adjusts the power of the quality scores of all raw materials; Indicates Quality rating of raw materials Power; Indicates Synergistic factors of the raw materials; It means that the relationship between the raw material quality score and the synergistic factor is smoothed by a logarithmic function; Indicates the maximum quality score of all raw materials; Indicates that all raw material input ratios are normalized; Indicates Quality rating of raw materials Power; Indicates Synergistic factors of the raw materials; Indicates Quality rating of the raw materials; represents the scarcity adjustment term; Indicates The relative scarcity factor of the raw materials; Indicates The scarcity regression sensitivity factor of the raw material.
[0011] Preferably, the S3 specifically includes: The equipment parameter dynamic adjustment algorithm reflects the basic control effect of different raw materials on equipment parameters by introducing basic influence weights; introduces the sensitivity index of the equipment's control parameters to the raw material input ratio and the dynamic control coefficient of the equipment's control parameters to control the equipment's response intensity to production feedback.
[0012] Preferably, the S3 specifically includes: The calculation formula of the control parameters of the equipment is: , in, Indicates Control parameters of the equipment; Indicates The proportion of raw materials used; Indicates The raw materials The basic influence weight of the control parameters of the equipment; Indicates that it is The sensitivity index of the control parameters of the equipment to the raw material input ratio; Indicates Dynamic control coefficient of control parameters of a device; Indicates The ideal proportion of raw materials; Indicates The ratio of the actual input ratio of the raw material to the total input ratio of all raw materials; Indicates The absolute deviation between the actual proportion of raw materials and the ideal proportion of raw materials; Indicates The response sensitivity of the control parameters of a device.
[0013] A production control system for garden plastic products, including the following parts: Raw material attribute collection module, quality scoring module, raw material ratio control module, equipment control parameter calculation module, equipment control module; Raw material attribute collection module: collects attribute data of various raw materials and outputs the attribute data to the quality scoring module; Quality scoring module: Based on the attribute data of the raw material attribute acquisition module, the quality scoring algorithm is used to score the quality of each raw material, the quality score of the raw material is calculated, and the quality score of the raw material is output to the raw material ratio control module; Raw material ratio control module: Based on the quality score of the raw materials from the quality scoring module, the raw material ratio is calculated using the raw material ratio control algorithm, and the raw material ratio is output to the control parameter calculation module of the equipment; Equipment control parameter calculation module: Based on the raw material input ratio of the raw material ratio control module, the equipment control parameters are calculated using the equipment parameter dynamic adjustment algorithm, and the equipment control parameters are output to the equipment control module; Equipment control module: realizes automatic control of the equipment according to the equipment control parameters of the equipment control parameter calculation module.
[0014] The beneficial effects of the technical solution of the present invention are: 1. By collecting the attribute data of raw materials and using a quality scoring algorithm combined with a linear weight coefficient and an exponential decay function, an accurate scoring of the quality of each raw material is achieved. This not only reflects the influence of a single attribute, but also considers the relationship between attributes by introducing mutual information, further enhancing the detailed evaluation of raw material quality scores, helping the production process of garden plastic products to avoid quality fluctuations when selecting raw materials, and improving the stability and consistency of the final garden plastic products.
[0015] 2. By dynamically adjusting the proportion of raw materials, comprehensively considering factors such as the quality score, synergy and scarcity of raw materials, fine control of the raw material ratio is achieved. Compared with the traditional linear weighted method, by introducing the logarithmic function, the influence of raw materials with quality scores close to the maximum value on the ratio is gradually weakened, thereby avoiding excessive use of a certain raw material and optimizing resource utilization efficiency. At the same time, the influence of the scarcity adjustment item is considered. By controlling the proportion of scarce raw materials, excessive use of scarce raw materials due to high quality scores is avoided, which not only reduces costs but also ensures the sustainability of the production process. Especially in the case of tight resources, it effectively avoids waste of resources.
[0016] 3. According to the changes in the raw material ratio and the deviations fed back during the production process of garden plastic products, the equipment's control parameters are dynamically adjusted. Compared with the traditional static equipment settings, the equipment can respond to the fluctuations in the ratio in real time, ensuring the efficient operation of the production process. By introducing the sensitivity index and dynamic control coefficient of the equipment's control parameters to the raw material input ratio, the equipment's response intensity can be adjusted according to the actual changes in the raw material ratio, reducing production stagnation or efficiency reduction caused by improper equipment settings, and improving the stability and adaptability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a structural diagram of a production control system for garden plastic products according to the present invention; Figure 2 The present invention is a flow chart of a production control method for garden plastic products. DETAILED DESCRIPTION
[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0020] The specific scheme of a production control system and method for garden plastic products provided by the present invention is described in detail below with reference to the accompanying drawings.
[0021] Refer to the attached Figure 1 , which shows a structural diagram of a production control system for garden plastic products provided by an embodiment of the present invention, the system includes the following parts: Raw material attribute collection module, quality scoring module, raw material ratio control module, equipment control parameter calculation module, equipment control module; Raw material attribute collection module: collects attribute data of various raw materials and outputs the attribute data to the quality scoring module; Quality scoring module: Based on the attribute data of the raw material attribute acquisition module, the quality scoring algorithm is used to score the quality of each raw material, the quality score of the raw material is calculated, and the quality score of the raw material is output to the raw material ratio control module; Raw material ratio control module: Based on the quality score of the raw materials from the quality scoring module, the raw material ratio is calculated using the raw material ratio control algorithm, and the raw material ratio is output to the control parameter calculation module of the equipment; Equipment control parameter calculation module: Based on the raw material input ratio of the raw material ratio control module, the equipment control parameters are calculated using the equipment parameter dynamic adjustment algorithm, and the equipment control parameters are output to the equipment control module; Equipment control module: realizes automatic control of the equipment according to the equipment control parameters of the equipment control parameter calculation module.
[0022] Refer to the attached Figure 2, which shows a flow chart of a production control method for garden plastic products provided by an embodiment of the present invention, the method comprising the following steps: S1. Collect attribute data of various raw materials, and use a quality scoring algorithm to score the quality of each raw material based on the attribute data to calculate the quality score of the raw material; In the production process of garden plastic products, the physical and chemical properties of raw materials are crucial to the quality of the final garden plastic products. It is necessary to collect the attribute data of various raw materials, including but not limited to particle size distribution, moisture, density, and tensile strength, for subsequent quality scoring and raw material ratio optimization; The collected attribute data of various raw materials are combined into a multi-dimensional raw material data matrix ; Each row of the raw material data matrix represents a raw material, and each column represents a different attribute of the raw material. The specific raw material data matrix is as follows: , in, Indicates The first raw material The value of an attribute; Indicates the number of types of raw materials; Indicates the number of attributes for each raw material; In order to ensure that the quality of raw materials in the production process of garden plastic products meets the standards, based on the collected attribute data of various raw materials, a quality scoring algorithm is used to score the quality of each raw material and calculate the quality score of the raw material; The quality scoring algorithm calculates the contribution of each attribute to the quality of each raw material. Specifically, the value of each attribute of each raw material is multiplied by the linear weight coefficient of the attribute, which reflects the direct influence of the attribute on the quality score of the raw material, and describes the nonlinear regulation effect of the attribute on the quality score of the raw material through an exponential decay function. The contribution result of each attribute is the weighted sum of all attributes to obtain a preliminary quality score. However, it is not enough to consider the impact of a single attribute, because in the production process of garden plastic products, there are complex interactive effects between different attributes of raw materials; In order to consider the relationship between different attributes, for each pair of attributes, the quality scoring algorithm quantifies the dependency between two attributes by calculating the mutual information of different attributes. The introduction of mutual information makes the quality scoring process not only rely on a single attribute, but also considers the mutual influence between multiple attributes. If there is a strong correlation between two attributes, the joint contribution to the quality score of the raw material will be strengthened. On the contrary, if there is no significant correlation between the two attributes, the influence on the quality score of the raw material is relatively independent, thereby accurately evaluating the quality of the raw material; The quality score of the raw materials is calculated as follows: , in, Indicates Quality rating of the raw materials; Indicates The first raw material The value of an attribute; Represents a single attribute influence term, which is used to capture the direct influence of each attribute, including linear weights and nonlinear adjustments; represents the weighted sum of all attributes. is the number of attributes for each raw material; Indicates The linear weight coefficient of each attribute reflects the direct impact of the attribute on the quality of the raw material. It is obtained by analyzing historical production data or expert experience and can be set according to the specific implementation scenario. It is not limited here. represents the nonlinear moderating effect of the attribute on the quality score of the raw material described by an exponential decay function; Indicates The nonlinear adjustment factor of each attribute is used to adjust the nonlinear adjustment effect of the attribute. It can be set according to the specific implementation scenario and is not limited here. Represents the interaction effect between attributes, which is used to capture the interaction effect between attributes and reflect the synergy or dependency between different attributes through mutual information; For all possible attribute pairs ( and ) are accumulated; Indicates The attributes and The interaction coefficient between the two attributes reflects the weight of the combination of two attributes on the raw material quality score. It can be set according to the specific implementation scenario and is not limited here. Indicates The first raw material The attributes and The mutual information between two attributes quantifies the degree of dependence between two attributes. If there is a significant correlation or synergistic effect between the two attributes, the greater the mutual information value is. If the two attributes are independent of each other, the mutual information value is close to zero. It is calculated by statistical methods and is estimated based on the frequency distribution or probability distribution of raw material characteristics obtained by prior art. It is a technical means well known to those skilled in the art and will not be described in detail here. Indicates The first raw material The value of an attribute; A raw material quality score vector is obtained based on the quality scores of all raw materials, in which each element represents the quality score of a raw material. The quality score of the raw material reflects the role of the raw material in the entire production process and provides a basis for the subsequent raw material ratio; S2. Based on the quality score of the raw materials, the raw material ratio control algorithm is used to calculate the raw material ratio; Since the traditional ratio method only considers the quality score of a single raw material and ignores the synergy between different raw materials and the impact of raw material scarcity on the ratio, an innovative raw material ratio control algorithm is proposed. According to the production needs of garden plastic products, the quality score and scarcity factors of the raw materials are comprehensively considered to dynamically adjust the proportion of each raw material, thereby optimizing the production efficiency and product quality consistency of garden plastic products. Since the synergy between raw materials will affect the rationality of the raw material ratio, such as the combination of raw materials can produce complementary effects, thereby improving the quality and production efficiency of the final product, the raw material ratio control algorithm introduces a synergy factor to adjust the input ratio of each raw material according to the complementarity between different raw materials. The higher the synergy factor, the greater the input ratio of the raw material; By normalizing the raw material quality scores and adjusting the synergistic factors, the raw material input ratio can be dynamically adjusted according to the relationship between the quality score of each raw material and the maximum quality score of the raw material. Different from the traditional linear weighting, the logarithmic function is introduced, so that when the quality score of the raw material is close to the maximum value, the impact on the final ratio gradually weakens, thereby avoiding excessive use of raw materials; The raw material ratio control algorithm introduces a scarcity adjustment item to adjust the proportion of scarce raw materials to ensure that the proportion of scarce raw materials will not be excessively increased due to high quality scores; The formula for calculating the proportion of raw materials is: , in, Indicates The proportion of raw materials used; Indicates Quality rating of the raw materials; Indicates the sensitivity of controlling the proportion, and adjusts the power of the quality scores of all raw materials to control the influence of the quality scores of raw materials in the proportioning process; Indicates Quality rating of raw materials Power; Indicates Synergy factors of raw materials, used to adjust the synergy between raw materials; Indicates that the relationship between the raw material quality score and the synergistic factor is smoothed by a logarithmic function to prevent raw materials with extremely high quality scores from having too great an impact on the raw material input ratio; Indicates the maximum quality score of all raw materials, which is used to normalize the quality scores of all raw materials and standardize the quality score of each raw material to a unified standard range to avoid disproportionate impact of raw materials with too high or too low quality scores on the proportioning results; It means to normalize the proportion of all raw materials to ensure that the sum of the proportions of all raw materials is 1; Indicates Quality rating of raw materials Power; Indicates Synergistic factors of the raw materials; Indicates Quality rating of the raw materials; Represents the scarcity adjustment item, which is used to adjust the proportion of scarce raw materials to ensure that the proportion of scarce raw materials will not be excessively increased due to high quality scores; Indicates The relative scarcity factor of the raw materials is used to adjust the weight of the scarce raw materials to ensure that the scarce raw materials can obtain an extremely low ratio in the production process of garden plastic products. It can be set according to the specific implementation scenario and is not limited here; Indicates The scarcity regression sensitivity factor of the raw material is used to control the influence of the relative scarcity factor on the raw material input ratio. It can be set according to the specific implementation scenario and is not limited here. The raw material ratio control algorithm makes the raw material ratio fine and flexible, which can not only improve the production efficiency and resource utilization of garden plastic products, but also ensure the consistency of product quality; S3. Use the equipment parameter dynamic adjustment algorithm to utilize the adaptive feedback mechanism, calculate the equipment control parameters according to the changes in the raw material ratio and the feedback deviation in the production process of garden plastic products, and then control the production equipment; In order to respond in real time to the changes in the raw material ratio in the production process of garden plastic products and reduce production stagnation or efficiency reduction caused by improper equipment parameter settings, the equipment parameter dynamic adjustment algorithm is used to utilize the adaptive feedback mechanism to calculate the equipment control parameters according to the changes in the raw material ratio and the deviation of the feedback in the production process of garden plastic products; The control parameters of the equipment are affected by the input ratio of raw materials, and the input ratio of each raw material in the production process has different influences on the control parameters of the equipment. The dynamic adjustment algorithm of equipment parameters reflects the basic control effect of different raw materials on equipment parameters by introducing basic influence weights; As the proportion of different raw materials changes, the adjustment sensitivity of the equipment will also change. In order to enable the equipment to respond flexibly under different raw material proportions, the sensitivity index of the equipment's control parameters to the raw material proportion is introduced. The larger the sensitivity index, the more sensitive the equipment is to changes in the raw material ratio. The dynamic control coefficient of the equipment's control parameters is further introduced to control the equipment's response strength to production feedback. It will be adjusted according to the absolute deviation between the actual proportion of raw materials put into the production process and the ideal (or normal) proportion of raw materials put into the production process. Through the reaction sensitivity of the equipment's control parameters, the feedback control strength of the equipment to the deviation of the raw material ratio is controlled, so that the equipment can flexibly adapt to the fluctuation of the raw material ratio in the actual production process, thereby maintaining high efficiency and high quality of production. The calculation formula of the control parameters of the equipment is: , in, Indicates Control parameters of the equipment; Indicates The proportion of raw materials used; Indicates The raw materials The basic influence weight of the control parameters of the equipment can be set according to the specific implementation scenario and is not limited here; Indicates that it is The sensitivity index of the control parameters of the equipment to the raw material input ratio is used to affect the speed and curve of the equipment's response to the change in the raw material ratio. It can be set according to the specific implementation scenario and is not limited here. Indicates The dynamic control coefficient of the control parameter of the equipment is used to control the response strength of the equipment to production feedback. It can be set according to the specific implementation scenario and is not limited here. Indicates The ideal (or normal) proportion of the raw materials is set by the standard proportion or quality requirements in the production process of garden plastic products; Indicates The ratio of the actual input ratio of the first raw material to the total input ratio of all raw materials is used to measure the The relative proportion of each raw material in the production process; Indicates The absolute deviation between the actual proportion of the raw materials and the ideal (or normal) proportion of the raw materials; Indicates The response sensitivity of the control parameters of the equipment is used to control the feedback control intensity of the equipment to the ratio deviation, which can be set according to the specific implementation scenario and is not limited here; Through the dynamic adjustment algorithm of equipment parameters, the control parameters of the equipment can be adjusted according to the changes in the raw material ratio during the dynamic production process of garden plastic products, thereby controlling the production equipment and ensuring that the equipment can operate efficiently and stably, thereby improving the overall efficiency of garden plastic product production.
[0023] In summary, a production control system and method for garden plastic products have been completed.
[0024] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0025] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.
[0026] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.
Claims
1. A production control method for garden plastic products, characterized in that: The following steps are involved: S1: Collect attribute data of various raw materials, and use a quality scoring algorithm to score the quality of each raw material based on the attribute data to calculate the quality score of the raw material; S2: Based on the quality score of the raw materials, the raw material ratio control algorithm is used to calculate the raw material ratio; S3: Use the equipment parameter dynamic adjustment algorithm and the adaptive feedback mechanism to calculate the equipment control parameters according to the changes in the raw material ratio and the deviations fed back during the production process of garden plastic products, and then control the production equipment.
2. The production control method of a garden plastic product according to claim 1, characterized in that: The S1 specifically includes: The quality scoring algorithm multiplies the value of each attribute of each raw material by the linear weight coefficient of the attribute, and describes the nonlinear regulatory effect of the attribute on the quality score of the raw material through an exponential decay function.
3. The production control method of a garden plastic product according to claim 2, characterized in that: The S1 specifically includes: In the implementation process of the quality scoring algorithm, the mutual information of different attributes is calculated to quantify the dependency between two attributes and obtain the quality score of the raw material. The specific calculation formula is: ， in, Indicates Quality rating of raw materials; Indicates The first raw material The first raw material The value of an attribute; Represents a single attribute influence item; represents the weighted sum of all attributes. is the number of attributes for each raw material; Indicates The linear weight coefficient of each attribute; represents the nonlinear moderating effect of the attribute on the quality score of the raw material described by an exponential decay function; Indicates Nonlinear adjustment factor for each attribute; Represents the interaction terms between attributes; Indicates The attributes and The interaction coefficients between the attributes; Indicates The first raw material The attributes and The mutual information between attributes; Indicates The first raw material The value of an attribute.
4. The production control method of a garden plastic product according to claim 1, characterized in that: The S2 specifically includes: The raw material ratio control algorithm adjusts the input ratio of each raw material according to the complementarity between different raw materials by introducing a synergistic factor; the input ratio of the raw materials is obtained by normalizing the quality score and combining the adjustment of the synergistic factor, the logarithmic function and the scarcity adjustment item.
5. A production control method for garden plastic products according to claim 4, characterized in that: The S2 specifically includes: The formula for calculating the proportion of raw materials is: ， in, Indicates The proportion of raw materials used; Indicates Quality rating of raw materials; It indicates the sensitivity of controlling the ratio and adjusts the power of the quality scores of all raw materials; Indicates Quality rating of raw materials Power; Indicates Synergistic factors of the raw materials; It means that the relationship between the raw material quality score and the synergistic factor is smoothed by a logarithmic function; Indicates the maximum quality score of all raw materials; Indicates that all raw material input ratios are normalized; Indicates Quality rating of raw materials Power; Indicates Synergistic factors of the raw materials; Indicates Quality rating of raw materials; represents the scarcity adjustment term; Indicates The relative scarcity factor of the raw materials; Indicates The scarcity regression sensitivity factor of the raw material.
6. The production control method of garden plastic products according to claim 1, characterized in that: The S3 specifically includes: The equipment parameter dynamic adjustment algorithm reflects the basic control effect of different raw materials on equipment parameters by introducing basic influence weights; introduces the sensitivity index of the equipment's control parameters to the raw material input ratio and the dynamic control coefficient of the equipment's control parameters to control the equipment's response intensity to production feedback.
7. A production control method for garden plastic products according to claim 6, characterized in that: The S3 specifically includes: The calculation formula of the control parameters of the equipment is: ， in, Indicates Control parameters of the equipment; Indicates The proportion of raw materials used; Indicates The raw materials The basic influence weight of the control parameters of the equipment; Indicates that it is The sensitivity index of the control parameters of the equipment to the raw material input ratio; Indicates Dynamic control coefficient of control parameters of a device; Indicates The ideal proportion of raw materials; Indicates The ratio of the actual input ratio of the raw material to the total input ratio of all raw materials; Indicates The absolute deviation between the actual proportion of raw materials and the ideal proportion of raw materials; Indicates The response sensitivity of the control parameters of a device.
8. A production control system for garden plastic products, applied to the production control method for garden plastic products as claimed in claim 1, characterized in that: Includes the following parts: Raw material attribute collection module, quality scoring module, raw material ratio control module, equipment control parameter calculation module, equipment control module; Raw material attribute collection module: collects attribute data of various raw materials and outputs the attribute data to the quality scoring module; Quality scoring module: Based on the attribute data of the raw material attribute acquisition module, the quality scoring algorithm is used to score the quality of each raw material, the quality score of the raw material is calculated, and the quality score of the raw material is output to the raw material ratio control module; Raw material ratio control module: Based on the quality score of the raw materials from the quality scoring module, the raw material ratio is calculated using the raw material ratio control algorithm, and the raw material ratio is output to the control parameter calculation module of the equipment; Equipment control parameter calculation module: Based on the raw material input ratio of the raw material ratio control module, the equipment control parameters are calculated using the equipment parameter dynamic adjustment algorithm, and the equipment control parameters are output to the equipment control module; Equipment control module: realizes automatic control of the equipment according to the equipment control parameters of the equipment control parameter calculation module.