A method and device for controlling the production of surface layer of imitation stone products

Abstract

The present invention provides a method and device for controlling the production of a surface layer of an imitation stone product, and relates to the field of intelligent control technology. The method comprises: mixing a mixed material evenly to obtain a uniform material, and checking whether the uniform material reaches a preset uniformity to obtain a first inspection result; according to the first inspection result, spraying the uniform material on the surface of a mold to form an imitation stone surface layer, and checking whether the imitation stone surface layer reaches a preset thickness and uniformity to obtain a second inspection result; according to the second inspection result, controlling a curing furnace to perform curing to obtain a cured layer, and checking the surface layer quality index of the cured layer to obtain a quality inspection result; according to the quality inspection result, dynamically adjusting working parameters and a formula of the imitation stone surface layer to obtain a final mixed material. The present invention can improve the production efficiency and quality of imitation stone products.

Description

Technical Field

[0001] The invention relates to the field of intelligent control technology, and in particular to a method and device for controlling the production of a surface layer of an imitation stone product. Background Art

[0002] Imitation stone products are becoming more and more popular and applied by consumers due to their realistic texture, rich personality and affordable price. They are a new building material and decorative material. At present, some existing imitation stone products are produced by traditional process flow with manual operation, which has problems such as low production efficiency and unstable quality.

[0003] The key to the production of imitation stone products lies in the formation of the surface layer. In the prior art, the preparation of some surface layers mainly includes: for example, weighing various material powders according to empirical proportions, manually mixing, spraying, curing and other steps. This operation has the following problems:

[0004] The formula cannot be adjusted in real time, and the proportion of raw materials cannot be optimized according to inventory conditions, which easily leads to material waste or shortage. The degree of mixing uniformity depends on the operator's experience and cannot be quantitatively detected and controlled, resulting in unstable quality of the finished product. The spraying thickness and uniformity cannot be detected online and can only be controlled by manual experience, resulting in uneven quality. The curing conditions cannot be dynamically optimized according to the surface quality, which directly affects the effect of the finished product. The entire process cannot be closed-loop controlled and optimized, and production efficiency and quality cannot be effectively improved. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method and device for controlling the production of the surface layer of an imitation stone product, which can improve the production efficiency and quality of the imitation stone product.

[0006] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0007] In a first aspect, a method for controlling the production of a surface layer of an imitation stone product is provided, the method comprising:

[0008] Calculate the amount of each material according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture;

[0009] Mixing the mixed material uniformly to obtain a uniform material, and inspecting whether the uniform material reaches a preset uniformity to obtain a first inspection result;

[0010] According to the first inspection result, the uniform material is sprayed on the surface of the mold to form a simulated stone surface layer, and the simulated stone surface layer is inspected to see whether it reaches a preset thickness and uniformity to obtain a second inspection result;

[0011] According to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer, and inspecting the surface quality index of the cured layer to obtain a quality inspection result;

[0012] According to the quality inspection results, the working parameters and the formula of the imitation stone surface layer are dynamically adjusted to obtain the final mixture.

[0013] Furthermore, the amount of each material is calculated according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture, including:

[0014] Get the preset imitation stone surface layer formula and the material components M of the imitation stone surface layer formula i And the material components M of the imitation stone surface formula i The corresponding weight percentage w i ;

[0015] Calculate the material components M according to the production batch i Total weight requirement T i ;

[0016] Get the material components M in the database i Current inventory L i ;

[0017] Calculate each material component M i Dynamic threshold of

[0018] According to each material component M i , calculate the demand T i and inventory L i to obtain the calculation result;

[0019] According to the calculation results, the adjusted percentage w is obtained. i ', and each material component M i Configuration weight Mi';

[0020] According to the adjusted percentage w i ', and each material component M i Configuration weight M i ', weigh the configuration weight M i ', to generate a mixture.

[0021] Further, the mixed material is mixed uniformly to obtain a uniform material, including:

[0022] According to the mixture, weigh the configuration weight Mi' of each component Mi and put it into the mixing container of the mixer;

[0023] Determine the mixing speed n1 and mixing time t1 according to the characteristics, proportions, production environment and technical parameters of the mixer of different materials;

[0024] The mixed material is mixed according to the mixing speed n1 and the mixing time t1 to obtain a uniform material.

[0025] Further, checking whether the uniform material reaches a preset uniformity to obtain a first test result includes:

[0026] Obtain the uniform material samples to be inspected according to the preset sampling plan;

[0027] Performing component analysis on each uniform material sample to be tested to determine the weight percentage of each component of the uniform material sample to be tested;

[0028] For each sample, the deviation between the measured percentage of each component and the preset formula percentage is calculated to obtain the deviation result;

[0029] Obtain the deviation results of each component in each sample and obtain the test results through calculation;

[0030] According to the inspection results of all the uniform material samples to be inspected, calculate the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material;

[0031] The first inspection result is obtained according to the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material.

[0032] Further, according to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer includes:

[0033] Obtain the viscosity and rheological curve parameters of the homogeneous material;

[0034] Establish a mathematical model based on the viscosity and rheological curve parameters of the uniform material;

[0035] According to the surface layer design requirements, the final mold material is obtained, and the influence of different spraying parameters on the surface layer formation is calculated by numerical simulation method to determine the final spraying process parameters;

[0036] According to the final spraying process parameters, spraying the mold to form a surface layer;

[0037] The formed surface layer is cured at a fixed time and temperature to obtain a cured layer.

[0038] Further, calculate each material component M i Dynamic thresholds include:

[0039] Get the material components M in the database i Safety stock S i , where the safety stock S i Calculated based on historical data;

[0040] According to the material components M in the database i Safety stock S i , calculate each material component M i The dynamic threshold D i , where D i =μ+3σ+f(R,μ,σ)×(L i -μ-3σ)+g(I,S)×h(P,Q), where, D i Material component M i Dynamic threshold of L i Material component M i The current inventory level; μ is the average of historical consumption; σ is the standard deviation of historical consumption; R is the historical replenishment cycle; f is a function of R, μ, and σ; I is the importance score of the material; S is the substitutability score of the material; g is a function of I and S; P is the supplier's on-time delivery rate; Q is the supplier's product qualification rate; and h is a function of P and Q.

[0041] Further, according to each material component M i , calculate the demand T i and inventory L i to obtain the calculation results, including:

[0042] Calculate each material component M i The demand for T i With inventory L i The difference G i ;

[0043] According to the difference G i and dynamic threshold D i , calculate whether the inventory is sufficient, if G i ≤D i , then the inventory is sufficient, if G i >D i , then the inventory is insufficient.

[0044] In a second aspect, a production control device for a surface layer of an imitation stone product comprises:

[0045] The acquisition module is used to calculate the amount of each material according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture; mix the mixture evenly to obtain a uniform material, and check whether the uniform material reaches a preset uniformity to obtain a first test result;

[0046] The processing module is used to spray the uniform material on the mold surface to form a simulated stone surface layer according to the first inspection result, and inspect whether the simulated stone surface layer reaches a preset thickness and uniformity to obtain a second inspection result; according to the second inspection result, control the curing furnace to perform curing to obtain a cured layer, and inspect the surface quality index of the cured layer to obtain a quality inspection result; according to the quality inspection result, dynamically adjust the working parameters and the formula of the simulated stone surface layer to obtain a final mixture.

[0047] According to a third aspect, a computing device includes:

[0048] one or more processors;

[0049] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the above method.

[0050] In a fifth aspect, a computer-readable storage medium stores a program, and the program implements the above method when executed by a processor.

[0051] The above solution of the present invention includes at least the following beneficial effects:

[0052] The above scheme of the present invention dynamically calculates the material usage, can optimize the formula according to the real-time inventory and demand, reduce the waste of raw materials, improve the efficiency of resource utilization, detect and control the degree of mixing uniformity, ensure the accurate implementation of the formula, improve the stability of product quality, monitor the spraying thickness and uniformity online, and adjust in real time to reduce the defective rate. The curing conditions are dynamically optimized according to the quality of the surface layer, and a higher quality cured layer can be obtained, and closed-loop control and optimization of the entire production process can be achieved, which greatly improves the level of automation and intelligence. The quality inspection results are fed back to adjust the process parameters to achieve continuous improvement and stabilize product quality. The present invention realizes the precise control and optimization of the imitation stone surface production process. Compared with the traditional empirical method, it can significantly improve production efficiency, reduce production costs, and improve and stabilize product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic flow chart of a method for controlling the production of a surface layer of an imitation stone product provided by an embodiment of the present invention.

[0054] Figure 2 It is a schematic diagram of a production control device for a surface layer of an imitation stone product provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0056] like Figure 1 As shown, an embodiment of the present invention provides a method for controlling the production of a surface layer of an imitation stone product, the method comprising:

[0057] Step 11, calculating the amount of each material according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture;

[0058] Step 12, mixing the mixed material uniformly to obtain a uniform material, and inspecting whether the uniform material reaches a preset uniformity to obtain a first inspection result;

[0059] Step 13, according to the first inspection result, spraying the uniform material on the mold surface to form a stone-like surface layer, and inspecting whether the stone-like surface layer reaches a preset thickness and uniformity to obtain a second inspection result;

[0060] Step 14, according to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer, and inspecting the surface quality index of the cured layer to obtain a quality inspection result;

[0061] Step 15, dynamically adjusting the working parameters and the formula of the imitation stone surface layer according to the quality inspection results to obtain the final mixture.

[0062] In the embodiments of the present invention, by dynamically calculating the amount of materials used, the formula can be optimized according to real-time inventory and demand, reducing the waste of raw materials and improving the efficiency of resource utilization; by detecting and controlling the degree of mixing uniformity, the formula can be accurately implemented to improve the stability of product quality; by online monitoring of the spraying thickness and uniformity, real-time regulation can be performed to reduce the defective rate; by dynamically optimizing the curing conditions according to the quality of the surface layer, a higher quality cured layer can be obtained; closed-loop control and optimization of the entire production process can be achieved, greatly improving the level of automation and intelligence, and feedback of quality inspection results can be used to adjust process parameters to achieve continuous improvement and stabilize product quality. The present invention realizes precise control and optimization of the production process of imitation stone surface layer, which can significantly improve production efficiency, reduce production costs, and improve and stabilize product quality compared to traditional empirical methods.

[0063] In a preferred embodiment of the present invention, the above step 11 may include:

[0064] Step 111, obtaining a preset imitation stone surface layer formula and each material component M of the imitation stone surface layer formulai And the material components M of the imitation stone surface formula i The corresponding weight percentage w i ;

[0065] Step 112, calculate the material components M according to the production batch i Total weight requirement T i ;

[0066] Step 113, obtaining each material component M in the database i Current inventory L i ;

[0067] Step 114, calculate each material component M i Dynamic threshold of

[0068] Step 115, according to each material component M i , calculate the demand T i and inventory L i to obtain the calculation result;

[0069] Step 116, according to the calculation result, obtain the adjusted percentage w i ', and the configuration weight Mi' of each material component M;

[0070] Step 117, based on the adjusted percentage w i ', and each material component M i Configuration weight M i ′, weigh the configuration weight M i ’, generating a mixture.

[0071] In an embodiment of the present invention, by obtaining a preset formula, the basic formula data can be systematically collected and determined to avoid errors that may be caused by relying on experience; by calculating the material demand, the amount of each material can be scientifically and reasonably determined, which will neither be insufficient nor excessive; by querying the real-time inventory, the current storage situation can be mastered to provide a basis for optimizing the formula; by calculating the dynamic threshold, the dynamic adjustment and optimization of the formula can be achieved to avoid the disadvantages of fixed formulas; by comparing the demand and inventory, it can be determined whether the original formula needs to be adjusted; by recalculating the percentage, the formula can be dynamically adjusted on demand; by taking materials according to the optimized formula, the waste or shortage of raw materials can be effectively reduced. Therefore, the present invention realizes the scientificity, dynamism and economy of the formula, which not only improves production efficiency, but also reduces costs, and is also helpful for improving product quality.

[0072] In another preferred embodiment of the present invention, the above step 111 may include: defining the material components M included in the formula of the imitation stone surface layer i And its weight percentage w i ,in, Among them, M ij Represents the i-th material component M i The jth processing parameter of P, such as particle size, moisture content, etc. ij Indicates the corresponding processing parameter value; m i represents the number of parameters of the i-th material component; in order to fully consider the influence of material components on the quality of imitation stone surface layer, for each material component M i Combined with its processing parameters P ij , determine the quality evaluation index T of the imitation stone surface layer j and its dynamic threshold V j , as the quality control standard, which specifically includes: Let T = {T1, T2, ..., T k} are k quality indicators of the imitation stone surface layer; V = {V1, V2, ..., V k} is the dynamic threshold of the corresponding quality index; let F(M, P, w) be the quality index of the imitation stone surface layer obtained after comprehensive consideration of material composition, processing parameters and weight percentage, then construct the objective function: That is, by optimizing the material composition, processing parameters and weight percentage, the quality index of the imitation stone surface layer is close to the preset dynamic threshold; Add constraints to ensure that the weight percentage is normalized and the processing parameters are within a reasonable range, where the constraints are P ij ∈[a ij , b ij ], n represents the number of components.

[0073] In another preferred embodiment of the present invention, the above step 112 may include: defining a production batch P1, each material component M i There are multiple processing parameters M ij , the weight percentage of each parameter in the component is w ij , the content ratio in the final product is r ij , for material component M i , the total weight requirement is T i The calculation formula is:

[0074]

[0075] Among them, λ i is the material component M i The dynamic adjustment coefficient, I i Material component M i The current inventory, Q ik represents the weight of the kth spare material, where I′i For spare material M i ’’s current inventory.

[0076] In another preferred embodiment of the present invention, the above step 113 may include: defining a time interval [t0, t1], in which the material inventory changes dynamically; the time variable L i (t) represents material M i The inventory at time t; there is a time lag in the synchronization of inventory data between different warehouses. Let the time lag of warehouse j1’s data relative to the total database be τ j1 , then the inventory of warehouse j1 at time t is shown as L i (t-τ j1 ), the forecast demand in the time interval [t1, t2] is F i , the inventory dynamic change equation is: Among them, I i (t) and O i (t) represent the inventory entry and inventory exit rates respectively.

[0077] In a preferred embodiment of the present invention, the above step 12 may include:

[0078] Step 121, weigh each component M according to the mixture i Configuration weight M i ', put it into the mixing container of the mixer'

[0079] Step 122, determining the mixing speed n1 and the mixing time t1 according to the characteristics, proportions, production environment and technical parameters of the mixer of different materials;

[0080] Step 123, mixing the mixed material according to the mixing speed n1 and the mixing time t1 to obtain a uniform material.

[0081] In the embodiment of the present invention, the step of weighing the weight of the mixture components ensures the accuracy of the ratio, and mixing is performed under the obtained mixing parameters to make the process more controllable and repeatable; the production environment factors make the determination of the mixing parameters adaptable to different application scenarios; operations are performed according to the determined mixing parameters to make the process controllable and repeatable, which is beneficial to quality control, and precise parameters are used to ensure uniform mixing, increase the traceability of the process, and facilitate finding the cause of the problem.

[0082] In another preferred embodiment of the present invention, the above step 122 may include: Establish the powder density function and associate the density with the characteristic parameters, where k i , a ij and b ij is the coefficient, u ij is the jth characteristic parameter of the ith powder, ni is the number of characteristic parameters of the ith powder;

[0083] According to the following calculation formula:

[0084] Establish a mixed effect function, where h i and g ij is a coefficient function, F1 represents the mixing effect, w1 is the powder ratio, and ρ is the density; according to Establish a uniformity evaluation function, where p2, q and C are coefficients, E represents mixing uniformity, r represents speed, and t represents time; according to Objective function, calculate the mixing uniformity E while optimizing the mixing effect F1, so as to comprehensively determine the best ratio w * , rotation speed r and mixing time t.

[0085] In another preferred embodiment of the present invention, the above step 123 may include: Establish uniformity evaluation function; according to the uniformity evaluation function, Determine the optimal mixing parameters to obtain a uniform mixture, where α, β, γ, δ, ε, λ1, λ2, λ3 and λ4 are coefficients, T2 is the mixing temperature, H is the mixing humidity, E1 is the uniformity evaluation function, n1 is the mixing speed, t1 is the mixing time, A and B are two mixed materials, ρ A are the densities of the mixed materials A, ρ B are the densities of mixed materials in B respectively.

[0086] In an embodiment of the present invention, a powder density function is established, and the density is associated with characteristic parameters, which can more accurately reflect the properties of different powders. A mixing effect function and a uniformity evaluation function are established, and multiple influencing factors are associated, so that the final determined mixing parameters are more scientific. The objective function takes into account the mixing effect and uniformity, and comprehensively determines the optimal parameters to ensure the effect and improve the uniformity. Factors such as temperature and humidity are introduced to make the uniformity evaluation function more comprehensive and the parameter determination more accurate. The establishment of a mathematical model is conducive to computer-aided parameter optimization and process control.

[0087] In a preferred embodiment of the present invention, the above step 12 may further include:

[0088] Step 124, obtaining a sample of the uniform material to be inspected according to a preset sampling plan;

[0089] Step 125, performing component analysis on each uniform material sample to be inspected to determine the weight percentage of each component of the uniform material sample to be inspected;

[0090] Step 126, for each sample, calculating the deviation between the measured percentage of each component and the preset formula percentage to obtain a deviation result;

[0091] Step 127, obtaining the deviation result of each component in each sample, and obtaining the test result through calculation;

[0092] Step 128, calculating the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material according to the inspection results of all the uniform material samples to be inspected;

[0093] Step 129, obtaining a first inspection result according to the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material.

[0094] In an embodiment of the present invention, a sampling plan is set to make the inspection more representative and cover different positions of the mixture; component analysis can be performed to obtain accurate component content data; component content deviation is calculated to quantify the uniformity, and the deviation results of multiple samples are statistically analyzed to evaluate the uniformity of the entire batch of materials; the qualified rate and evaluation index are calculated to quantitatively evaluate the mixing effect, and compared with the preset standards, it can be determined whether optimization is needed. The test result feedback to adjust the parameters is conducive to continuously improving the mixing effect, increasing process control points, making the mixing process controllable and traceable, and the test data supports quality analysis and process optimization, which is conducive to preventing quality problems caused by uneven mixing.

[0095] In another preferred embodiment of the present invention, the above step 124 may include: Obtain the uniform material sample to be tested, where n3 is the number of samples, V1 is the volume of the mixture, L1 is the representative weight of the sampling position, a1 and b1 are coefficients, and the number of samples is proportional to the volume of the mixture and inversely proportional to the square of the sampling position weight; according to Calculate the component content, where m 1ij is the mass percentage of the jth component in the ith sample, m 1ij is m 1ij The mass of the component, V′ 1i is m 1ij The volume of the component, w 1ij is m 1ij Density of the component; according to d ij =m ij -m 0j Calculate the deviation, where m 0j is the preset mass percentage of the jth component, d ij is the deviation; according to the deviation |d ij | and deviation threshold δ1, judge whether it is qualified, if |d ij |<δ1, then qualified, if qualified, then passed Calculate the uniformity U, where E 1i is the uniformity of the ith sample calculated from the deviation of each component, w 1i is the weight and f1 is the uniformity function.

[0096] In a preferred embodiment of the present invention, the above step 14 may include:

[0097] Step 141, obtaining the viscosity and rheological curve parameters of the uniform material;

[0098] Step 142, establishing a mathematical model according to the viscosity and rheological curve parameters of the uniform material;

[0099] Step 143, according to the surface layer design requirements, the final mold material is obtained, and the influence of different spraying parameters on the formation of the surface layer is calculated by a numerical simulation method to determine the final spraying process parameters;

[0100] Step 144, spraying the mold according to the final spraying process parameters to form a surface layer;

[0101] Step 144, curing the formed surface layer at a fixed time and temperature to obtain a cured layer.

[0102] In the embodiment of the present invention, the rheological properties of the uniform material are measured and a mathematical model is established, which can accurately predict the flow behavior of the liquid material during the spraying process. The spraying parameters are determined by a numerical simulation method, which can greatly reduce the number of experiments and the cost of trial and error. The surface layer design requirements and the mold material are considered to make the spraying parameters more in line with actual needs. The spraying parameters finally determined can obtain a surface layer with better quality. Strict control of the curing process is conducive to stabilizing the quality of the surface layer. The process control points are increased, the controllability and stability of the production process are improved, and a traceability basis is provided for quality problems. The problem positioning is more accurate, which is conducive to shortening the product development cycle and reducing the cost of testing and debugging.

[0103] In another preferred embodiment of the present invention, according to The viscosity model is established, where η0(T2) represents the viscosity value at the reference temperature T2; k2, n4 and a2 are rheological parameters, and E a is the activation energy, c1 is the solute concentration, η is the viscosity of the fluid, and γ1 is the shear rate; according to the rate and temperature dependence of the viscosity, A numerical simulation model is established, where ρ1 is the density of the fluid; is the time derivative of flow velocity, which indicates the rate of change of flow velocity with time; is the convection term, which represents the acceleration of the fluid during movement; is the viscous force term, is the shear stress tensor, used to describe the viscous effect; For physical strength, is the gravity acceleration vector; simulate and analyze the influence of different spraying parameters on flow performance; take the flatness of the flow front end and the thickness uniformity as the goal, use the multi-objective optimization algorithm to solve the optimal spraying parameters, and carry out spray forming under the optimized spraying parameters.

[0104] In an embodiment of the present invention, a viscosity model that takes multiple factors into consideration is established, which can accurately describe the viscosity characteristics of non-Newtonian fluids. By performing numerical simulation, the flow and heat transfer processes can be accurately predicted, providing a basis for parameter optimization, simulating and analyzing the effects of different parameters on the smoothness of the flow front end and the uniformity of thickness, clarifying the action mechanism of each parameter, and a multi-objective optimization algorithm that comprehensively considers multiple quality indicators to optimize the determined parameters. The final determined spraying parameters can obtain better flow performance and thickness uniformity, improve the controllability of the spraying process, provide guarantees for quality control, shorten the product development cycle, and reduce the cost of test and debugging.

[0105] In a preferred embodiment of the present invention, the above step 114 may include:

[0106] Step 1141, obtain each material component M in the database i Safety stock S i , where the safety stock S i Calculated based on historical data;

[0107] Step 1142, according to the material components M in the database i Safety stock S i , calculate each material component M i The dynamic threshold D i , where D i =μ+3σ+f(R,μ,σ)×(L i -μ-3σ)+g(I,S)×h(P,Q), where, D i Material component M i Dynamic threshold of L i Material component M i The current inventory level; μ is the average of historical consumption; σ is the standard deviation of historical consumption; R is the historical replenishment cycle; f is a function of R, μ, and σ; I is the importance score of the material; S is the substitutability score of the material; g is a function of I and S; P is the supplier's on-time delivery rate; Q is the supplier's product qualification rate; and h is a function of P and Q.

[0108] In an embodiment of the present invention, the safety stock is calculated based on historical data to make the threshold setting more scientific and reasonable. Factors such as current inventory, historical consumption statistical parameters, and replenishment cycle are considered to make the threshold more compatible with actual demand. Material importance and substitutability scores are added to distinguish between key materials and non-key materials. The quality and delivery capacity of suppliers are considered to reduce supply risks. A dynamic threshold calculation model that comprehensively considers multiple factors is established using multiple complex functional relationships. The dynamic threshold can reflect consumption and supply capacity in real time to achieve precise control.

[0109] In a preferred embodiment of the present invention, the above step 115 may include:

[0110] Step 1151, calculate each material component M i The demand for T i With inventory L i The difference G i ;

[0111] Step 1152, according to the difference G i and dynamic threshold D i , calculate whether the inventory is sufficient, if G i ≤D i , then the inventory is sufficient, if G i >D i , then the inventory is insufficient.

[0112] In the embodiment of the present invention, the difference Gi between the material demand and the current inventory can directly reflect the abundance of the inventory. i As a judgment standard, it makes the judgment more scientific and reasonable, rather than simply fixing the threshold; according to the difference G i and threshold D i The comparison results can clearly determine whether the inventory of each material is sufficient; this method is simple and intuitive to calculate, easy to implement automated monitoring and early warning, can distinguish key materials that are currently insufficient in inventory, and make targeted purchases, avoiding the risk of excess or shortage inventory due to subjective judgment, which is beneficial to the accuracy of material demand forecasts, providing a basis for procurement and production plans, and dynamically monitoring inventory adequacy. Problems can be discovered in a timely manner, and procurement plans can be adjusted, thus achieving precise control of material inventory and helping to reduce costs.

[0113] like Figure 2 As shown, the embodiment of the present invention further provides a production control device 20 for a surface layer of an imitation stone product, comprising:

[0114] The acquisition module 21 is used to calculate the amount of each material according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture; mix the mixture evenly to obtain a uniform material, and check whether the uniform material reaches a preset uniformity to obtain a first test result;

[0115] The processing module 22 is used to spray the uniform material on the mold surface to form an imitation stone surface layer according to the first inspection result, and inspect whether the imitation stone surface layer reaches a preset thickness and uniformity to obtain a second inspection result; according to the second inspection result, control the curing furnace to perform curing to obtain a cured layer, and inspect the surface quality index of the cured layer to obtain a quality inspection result; according to the quality inspection result, dynamically adjust the working parameters and the imitation stone surface layer formula to obtain a final mixture.

[0116] Optionally, the amount of each material is calculated according to a preset imitation stone surface layer formula and a preset dynamic threshold value to generate a mixture, including:

[0117] Get the preset imitation stone surface layer formula and the material components M of the imitation stone surface layer formula i And the material components M of the imitation stone surface formula i The corresponding weight percentage w i ;

[0118] Calculate the material components M according to the production batch i Total weight requirement T i ;

[0119] Get the material components M in the database i Current inventory L i ;

[0120] Calculate each material component M i Dynamic threshold of

[0121] According to each material component M i , calculate the demand T i and inventory L i to obtain the calculation result;

[0122] According to the calculation results, the adjusted percentage w is obtained. i ', and each material component M i Configuration weight Mi';

[0123] According to the adjusted percentage w i ', and each material component M i Configuration weight M i ', weigh the configuration weight M i ', to generate a mixture.

[0124] Optionally, the mixed material is mixed evenly to obtain a uniform material, including:

[0125] According to the mixture, weigh each component M i Configuration weight M i ', put into the mixing container of the mixer;

[0126] Determine the mixing speed n1 and mixing time t1 according to the characteristics, proportions, production environment and technical parameters of the mixer of different materials;

[0127] The mixed material is mixed according to the mixing speed n1 and the mixing time t1 to obtain a uniform material.

[0128] Optionally, checking whether the uniform material reaches a preset uniformity level to obtain a first test result includes:

[0129] Obtain the uniform material samples to be inspected according to the preset sampling plan;

[0130] Performing component analysis on each uniform material sample to be tested to determine the weight percentage of each component of the uniform material sample to be tested;

[0131] For each sample, the deviation between the measured percentage of each component and the preset formula percentage is calculated to obtain the deviation result;

[0132] Obtain the deviation results of each component in each sample and obtain the test results through calculation;

[0133] According to the inspection results of all the uniform material samples to be inspected, calculate the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material;

[0134] The first inspection result is obtained according to the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material.

[0135] Optionally, according to the second inspection result, controlling a curing furnace to perform curing to obtain a cured layer includes:

[0136] Obtain the viscosity and rheological curve parameters of the homogeneous material;

[0137] Establish a mathematical model based on the viscosity and rheological curve parameters of the uniform material;

[0138] According to the surface layer design requirements, the final mold material is obtained, and the influence of different spraying parameters on the surface layer formation is calculated by numerical simulation method to determine the final spraying process parameters;

[0139] According to the final spraying process parameters, spraying the mold to form a surface layer;

[0140] The formed surface layer is cured at a fixed time and temperature to obtain a cured layer.

[0141] Optionally, calculate each material component M i Dynamic thresholds include:

[0142] Get the material components M in the database i Safety stock S i , where the safety stock S i Calculated based on historical data;

[0143] According to the material components M in the database i Safety stock S i , calculate each material component M i The dynamic threshold D i , where D i =μ+3σ+f(R,μ,σ)×(L i -μ-3σ)+g(I,S)×h(P,Q), where, D i Material component M i Dynamic threshold of L i Material component M i The current inventory level; μ is the average of historical consumption; σ is the standard deviation of historical consumption; R is the historical replenishment cycle; f is a function of R, μ, and σ; I is the importance score of the material; S is the substitutability score of the material; g is a function of I and S; P is the supplier's on-time delivery rate; Q is the supplier's product qualification rate; and h is a function of P and Q.

[0144] Optionally, according to each material component M i , calculate the demand T i and inventory L i to obtain the calculation results, including:

[0145] Calculate each material component M i The demand for T i With inventory L i The difference G i ;

[0146] According to the difference G i and dynamic threshold D i , calculate whether the inventory is sufficient, if G i ≤D i , then the inventory is sufficient, if G i >D i , then the inventory is insufficient.

[0147] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0148] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0149] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0150] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0151] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0152] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0153] The units described as separate components may or may not be physically separated, and the components shown as units 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0155] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0156] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0157] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0158] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for controlling the production of a surface layer of an imitation stone product, characterized in that: The method comprises: Calculate the amount of each material according to the preset imitation stone surface layer formula and the preset dynamic threshold value to generate a mixture; Mixing the mixed material uniformly to obtain a uniform material, and inspecting whether the uniform material reaches a preset uniformity to obtain a first inspection result; According to the first inspection result, the uniform material is sprayed on the surface of the mold to form a simulated stone surface layer, and the simulated stone surface layer is inspected to see whether it reaches a preset thickness and uniformity to obtain a second inspection result; According to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer, and inspecting the surface quality index of the cured layer to obtain a quality inspection result; According to the quality inspection results, the working parameters and the formula of the imitation stone surface layer are dynamically adjusted to obtain the final mixture.

2. The method for controlling the production of the surface layer of imitation stone products according to claim 1, characterized in that: The amount of each material is calculated according to the preset imitation stone surface layer formula and the preset dynamic threshold to generate a mixture, including: Get the preset imitation stone surface layer formula and the material components M of the imitation stone surface layer formula i And the material components M of the imitation stone surface formula i The corresponding weight percentage w i ; Calculate the material components M according to the production batch i Total weight requirement T i ; Get the material components M in the database i Current inventory L i ; Calculate each material component M i Dynamic threshold of According to each material component M i , calculate the demand T i and inventory L i to obtain the calculation result; According to the calculation results, the adjusted percentage w is obtained. i ', and each material component M i Configuration weight M i '; According to the adjusted percentage w i ', and each material component M i Configuration weight M i ', weigh the configuration weight M i ', to generate a mixture.

3. The method for controlling the production of the surface layer of imitation stone products according to claim 2, characterized in that: Mix the mixture well to obtain a homogeneous material, including: According to the mixture, weigh each component M i The configuration weight Mi' is put into the mixing container of the mixer; Determine the mixing speed n1 and mixing time t1 according to the characteristics, proportions, production environment and technical parameters of the mixer of different materials; The mixed material is mixed according to the mixing speed n1 and the mixing time t1 to obtain a uniform material.

4. The method for controlling the production of the surface layer of imitation stone products according to claim 3, characterized in that: Checking whether the uniform material reaches a preset uniformity level to obtain a first test result includes: Obtain the uniform material samples to be inspected according to the preset sampling plan; Performing component analysis on each uniform material sample to be tested to determine the weight percentage of each component of the uniform material sample to be tested; For each sample, the deviation between the measured percentage of each component and the preset formula percentage is calculated to obtain the deviation result; Obtain the deviation results of each component in each sample and obtain the test results through calculation; According to the inspection results of all the uniform material samples to be inspected, calculate the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material; The first inspection result is obtained according to the qualified rate of the uniform material samples to be inspected and the evaluation index of the uniformity of the mixed material.

5. The method for controlling the production of the surface layer of imitation stone products according to claim 4, characterized in that: According to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer includes: Obtain the viscosity and rheological curve parameters of the homogeneous material; Establish a mathematical model based on the viscosity and rheological curve parameters of the uniform material; According to the surface layer design requirements, the final mold material is obtained, and the influence of different spraying parameters on the surface layer formation is calculated by numerical simulation method to determine the final spraying process parameters; According to the final spraying process parameters, spraying the mold to form a surface layer; The formed surface layer is cured at a fixed time and temperature to obtain a cured layer.

6. The method for controlling the production of the surface layer of imitation stone products according to claim 5, characterized in that: Calculate each material component M i Dynamic thresholds include: Get the material components M in the database i Safety stock S i , where the safety stock S i Calculated based on historical data; According to the material components M in the database i Safety stock S i , calculate each material component M i The dynamic threshold D i , where D i =μ+3σ+f(R,μ,σ)×(L i -μ-3σ)+g(I,S)×h(P,Q), where, D i Material component M i Dynamic threshold of L i Material component M i The current inventory level; μ is the average of historical consumption; σ is the standard deviation of historical consumption; R is the historical replenishment cycle; f is a function of R, μ, and σ; I is the importance score of the material; S is the substitutability score of the material; g is a function of I and S; P is the supplier's on-time delivery rate; Q is the supplier's product qualification rate; and h is a function of P and Q.

7. The method for controlling the production of the surface layer of the imitation stone product according to claim 6, characterized in that: According to each material component M i , calculate the demand T i and inventory L i to obtain the calculation results, including: Calculate each material component M i The demand for i With inventory L i The difference G i ; According to the difference G i and dynamic threshold D i , calculate whether the inventory is sufficient, if G i ≤D i , then the inventory is sufficient, if G i >D i , then the inventory is insufficient.

8. A production control device for surface layer of imitation stone products, characterized in that: include: An acquisition module is used to calculate the amount of each material according to a preset imitation stone surface layer formula and a preset dynamic threshold value to generate a mixture; Mixing the mixed material uniformly to obtain a uniform material, and inspecting whether the uniform material reaches a preset uniformity to obtain a first inspection result; A processing module, for spraying the uniform material on the surface of the mold to form a stone-like surface layer according to the first inspection result, and inspecting whether the stone-like surface layer reaches a preset thickness and uniformity to obtain a second inspection result; According to the second inspection result, controlling the curing furnace to perform curing to obtain a cured layer, and inspecting the surface quality index of the cured layer to obtain a quality inspection result; According to the quality inspection results, the working parameters and the formula of the imitation stone surface layer are dynamically adjusted to obtain the final mixture.

9. A computing device, characterized in that include: one or more processors; A storage device, used for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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