Parameter-adaptive material batching system and method and terminal equipment

Abstract

The invention relates to a parameter-adaptive material batching system, a parameter-adaptive material batching method and terminal equipment. The system comprises a batching control unit, a data acquisition unit, a batching formula unit, a batching parameter unit, a control output unit and a data analysis optimization unit. The system firstly obtains historical initial actual feeding data of material feeding through a data acquisition unit, a batching formula unit, a batching parameter unit and a batching control unit, and then analyzes the historical initial actual feeding data by adopting a data analysis and optimization unit to obtain optimized operation parameters of next material feeding; and finally, optimizing the initial operation parameters by adopting a data analysis optimization unit, a batching control unit, a data acquisition unit, a batching parameter unit and a control output unit, and then controlling the material batching equipment to carry out self-adaptive material feeding, so that the parameter self-adaptive material batching system realizes automatic adjustment when the material characteristics change. And the feeding precision and the quality of produced products are improved.

Description

Technical Field

[0001] The present application relates to the technical field of material batching control, and in particular to a parameter-adaptive material batching system, method, and terminal device. Background Art

[0002] Currently, the industry's material batching system only controls the feeding of a single material, but lacks the ability to automatically calculate and optimize specific parameters. As a result, when material characteristics change, the feeding accuracy will deteriorate or even exceed the tolerance, requiring manual parameter adjustment, which increases personnel operations. If material batching errors are not discovered in a timely manner, it will also affect product consistency. The current industry material batching system also does not perform overall dynamic adjustments to the actual ingredients of each material in the formula. As a result, although the ingredients of a single material are within the allowable accuracy range, the accuracy distribution among various materials is scattered, which to some extent also affects product consistency. Summary of the Invention

[0003] The present application provides a parameter-adaptive material batching system, method and terminal device, which are used to solve the technical problem that the current industry material batching system cannot automatically adjust when the material characteristics change, resulting in poor feeding accuracy and affecting the quality of production products.

[0004] In order to achieve the above objectives, this application provides the following technical solutions:

[0005] In one aspect, a parameter-adaptive material batching system is provided, comprising: a batching control unit, and a data acquisition unit connected to the batching control unit, a batching recipe unit, a batching parameter unit, a control output unit, and a data analysis and optimization unit, wherein the data analysis and optimization unit is connected to the batching parameter unit;

[0006] The data acquisition unit is used to be connected to at least one material batching device, and the data acquisition unit is used to collect the discharge amount of each material batching device in real time and transmit the collected discharge amount to the batching control unit;

[0007] The batching formula unit is used to provide the batching formula data to the batching control unit, wherein the batching formula data includes the total weight, total amount and / or proportion of each material;

[0008] The batching parameter unit is used to provide the batching control unit with the initial operating parameters of each of the material batching equipment, wherein the initial operating parameters include the feeding speed, the operating time and the feeding weight;

[0009] The batching control unit is used to configure execution parameters according to the batching formula data and the initial operating parameters of each of the material batching equipment, wherein the execution parameters include the execution process and the set feeding amount, set feeding speed, set operating time and set feeding deviation of each of the material batching equipment;

[0010] The control output unit is used to control each of the material batching equipment to initially feed materials according to the execution parameters and the initial operating parameters, and to obtain initial actual feeding data through the data acquisition unit after the feeding of materials is completed, wherein the initial actual feeding data includes multiple sets of data sets, each set of the data sets including the actual feeding speed, actual running time, actual stop time and actual total amount of feeding of each of the material batching equipment;

[0011] The data analysis and optimization unit is used to optimize the initial operating parameters by adopting a feeding deviation method according to the initial actual feeding data and the execution parameters to obtain optimized operating parameters;

[0012] Among them, the control output unit is also used to control each corresponding material batching equipment to carry out the next material feeding according to the execution parameters and the optimized operation parameters, and obtain the updated actual feeding data through the data acquisition unit after the material feeding is completed; the updated actual feeding data is used as the initial actual feeding data for the re-feeding of materials, and the optimized operation parameters are used as the initial operation parameters for the re-feeding of materials, and then the batching parameter unit, the batching control unit, the control output unit and the data analysis and optimization unit cooperate with each other to adaptively control each corresponding material batching equipment to feed materials again.

[0013] Preferably, the data analysis and optimization unit includes a difference calculation subunit, a weighted calculation subunit and an optimization parameter subunit;

[0014] The difference calculation subunit is used to perform difference calculation on the actual total amount of feed of each group of the data set in the initial actual feed data, the set feed deviation in the execution parameter and the corresponding set feed amount to obtain deviation data of each group of the data set;

[0015] The weighted calculation subunit is used to obtain the adjustment coefficient and the weighted coefficient of each group of the data sets, and perform weighted calculation based on all the deviation data and the adjustment coefficient and the weighted coefficient of each group of the data sets to obtain the compensation weight;

[0016] The optimization parameter subunit is used to calculate according to the compensation weight and the feeding weight of the initial operating parameters to obtain the optimized feeding weight of the optimized operating parameters; and to calculate according to the feeding weight and the compensation weight to obtain the optimization coefficient; and to calculate according to the feeding speed, running time and the optimization coefficient of the initial operating parameters to obtain the optimized feeding speed and optimized running time of the optimized operating parameters.

[0017] Preferably, the weighted calculation subunit is further configured to assign a value of 0 to the deviation data if the deviation data is within a set deviation threshold range.

[0018] Preferably, the ingredient formula unit is further used to add, delete, modify and / or call the ingredient formula data.

[0019] Preferably, the parameter-adaptive material batching system includes a ratio optimization unit, which is used to adjust the total weight of the auxiliary materials in the batching formula data according to the actual total amount of the main material in the batching formula data, and the ratio optimization unit is respectively connected to the batching control unit and the batching formula unit.

[0020] Preferably, the parameter-adaptive material batching system includes a data storage unit for storing the actual material feeding data, and the data storage unit is connected to the batching control unit.

[0021] In another aspect, a parameter-adaptive material batching method is provided, comprising the following steps:

[0022] S1. Obtain the number of material batching equipment and the batching formula data and the initial operating parameters of each material batching equipment, the initial operating parameters include the feeding speed, running time and feeding weight, the batching formula data includes the total feeding weight of each material, the total feeding amount and / or feeding ratio;

[0023] S2. According to the batching formula data and the initial operating parameters of each of the material batching equipment configuration execution parameters, the execution parameters include the execution process and each of the material batching equipment set feed amount, set feed speed, set operating time and set feed deviation;

[0024] S3. Control each of the material batching equipment to perform initial material feeding according to the execution parameters and the initial operating parameters, and obtain initial actual feeding data after the material feeding is completed, the initial actual feeding data includes multiple sets of data sets, each set of the data sets includes the actual feeding speed, actual running time, actual stop time and actual total feeding amount of each material batching equipment;

[0025] S4. Based on the actual initial feeding data and the execution parameters, the initial operating parameters are optimized using the feeding deviation method to obtain the optimized operating parameters;

[0026] S5. Control the corresponding material batching equipment for the next material delivery according to the execution parameters and the optimized operating parameters, and obtain updated actual material delivery data after the delivery of the material is completed;

[0027] S6. Use the updated actual feeding data as the initial actual feeding data for re-feeding materials, and the optimized operating parameters as the initial operating parameters for re-feeding materials, and then adaptively control each corresponding material batching equipment according to steps S4 and S5 to re-feed materials.

[0028] Preferably, the initial operating parameters are optimized using a feeding deviation method according to the initial actual feeding data and the execution parameters, and the optimized operating parameters are obtained, including:

[0029] Calculate the difference between the actual total amount of material fed of each set of the data set in the initial actual material feeding data, the set material feeding deviation in the execution parameter, and the corresponding set material feeding amount to obtain deviation data of each set of the data set;

[0030] Obtaining an adjustment coefficient and a weighting coefficient of each set of the data sets, and performing weighted calculation based on all the deviation data and the adjustment coefficient and the weighting coefficient of each set of the data sets to obtain a compensation weight;

[0031] Calculating according to the compensation weight and the feeding weight of the initial operating parameters to obtain the optimized feeding weight of the optimized operating parameters;

[0032] Calculating the optimization coefficient based on the feeding weight and the compensation weight;

[0033] The optimized feeding speed and optimized running time of the optimized running parameters are obtained by respectively calculating the feeding speed and running time of the initial running parameters and the optimization coefficient.

[0034] Preferably, the parameter-adaptive material batching method includes adjusting the total weight of the auxiliary materials in the batching formula data according to the actual total amount of the main materials in the batching formula data.

[0035] In another aspect, a terminal device is provided, comprising a processor and a memory;

[0036] The memory is used to store program code and transmit the program code to the processor;

[0037] The processor is used to execute the above-mentioned parameter-adaptive material batching method according to the instructions in the program code.

[0038] The parameter-adaptive material batching system, method and terminal device, the parameter-adaptive material batching system includes a batching control unit and a data acquisition unit, a batching formula unit, a batching parameter unit, a control output unit and a data analysis and optimization unit connected to the batching control unit, and the data analysis and optimization unit is connected to the batching parameter unit; the data acquisition unit is used to connect to at least one material batching device, and the data acquisition unit is used to collect the output of each material batching device in real time and transmit the collected output to the batching control unit; the batching formula unit is used to provide the batching control unit with batching formula data, and the batching formula data includes the total feeding weight, total feeding amount and / or feeding ratio of each material; the batching parameter unit is used to provide the batching control unit with the initial operating parameters of each material batching device, and the initial operating parameters include feeding speed, running time and feeding weight; the batching control unit is used to configure execution parameters according to the batching formula data and the initial operating parameters of each material batching device, and the execution parameters include the execution process and the set feeding amount, set feeding speed, set running time and set feeding deviation of each material batching device. The control output unit is used to control each corresponding material batching equipment to initially feed the material according to the execution parameters and the initial operating parameters, and obtain the initial actual feeding data through the data acquisition unit after the material feeding is completed. The initial actual feeding data includes multiple sets of data sets, and each set of data sets includes the actual feeding speed, actual running time, actual stop time and actual total feeding amount of each material batching equipment; the data analysis and optimization unit is used to optimize the initial operating parameters using the feeding deviation method according to the initial actual feeding data and the execution parameters to obtain the optimized operating parameters; wherein, the control output unit is also used to control each corresponding material batching equipment to feed the material for the next time according to the execution parameters and the optimized operating parameters, and obtain the updated actual feeding data through the data acquisition unit after the material feeding is completed; the updated actual feeding data is used as the initial actual feeding data for the re-feeding of the material, and the optimized operating parameters are used as the initial operating parameters for the re-feeding of the material, and then the batching parameter unit, the batching control unit, the control output unit and the data analysis and optimization unit cooperate with each other to adaptively control each corresponding material batching equipment to feed the material again.

[0039] It can be seen from the above technical scheme that the present application has the following advantages: the parameter-adaptive material batching system first obtains the initial actual feeding data of the material feeding history through the data acquisition unit, the batching formula unit, the batching parameter unit and the batching control unit, and then uses the data analysis and optimization unit to analyze the historical initial actual feeding data to obtain the optimized operating parameters for the next material feeding; finally, the data analysis and optimization unit, the batching control unit, the data acquisition unit, the batching parameter unit and the control output unit are used to optimize the initial operating parameters and control the material batching equipment to perform adaptive material feeding, so that the parameter-adaptive material batching system can automatically adjust when the material properties change, thereby improving the feeding accuracy and production product quality; it solves the technical problem that the current industry material batching system cannot automatically adjust when the material properties change, resulting in poor feeding accuracy and affecting the quality of production products.

[0040] This parameter-adaptive material batching system can realize online adaptation of the actual batching parameters of each material, improve the system's adaptability to the material, and greatly reduce the impact of changes in material properties on batching accuracy; at the same time, through the optimization of the total weight of the auxiliary material feed by the ratio optimization unit 70, the total weight of the auxiliary material feed is automatically converted according to the ratio based on the actual total amount of the main material feed, and the batching accuracy distribution of each material tends to be more reasonable, thereby improving the quality of the generated product and thus improving the consistency of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0042] Figure 1 This is a schematic structural diagram of the parameter-adaptive material batching system described in an embodiment of the present application;

[0043] Figure 2 This is a schematic diagram of the framework of the data analysis and optimization unit in the parameter-adaptive material batching system described in an embodiment of the present application;

[0044] Figure 3 This is a schematic diagram of a framework of a parameter-adaptive material batching system according to another embodiment of the present application;

[0045] Figure 4 This is a schematic diagram of a framework of a parameter-adaptive material batching system according to another embodiment of the present application;

[0046] Figure 5 This is a schematic diagram of the steps of the parameter-adaptive material batching method described in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, features, and advantages of the invention of this application more obvious and easy to understand, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described below are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0048] In the description of the embodiments of the present application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0049] In the embodiments of the present application, unless otherwise expressly specified or limited, the terms "installed," "connected," "connected," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections, electrical connections; direct connections, or indirect connections through an intermediate medium; internal connections between two components, or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0050] The present application provides a parameter-adaptive material batching system, method, and terminal device, addressing the current technical problem of material batching systems being unable to automatically adjust to changes in material properties, resulting in poor feeding accuracy and impacting product quality. This parameter-adaptive material batching system, method, and terminal device address the aspects of material batching system control and feeding accuracy optimization. They are primarily used to control material batch feeding during the production process and automatically calculate and optimize feeding parameters based on feeding data from the production process.

[0051] Example 1:

[0052] Figure 1 This is a schematic diagram of the framework of the parameter-adaptive material batching system described in an embodiment of the present application.

[0053] like Figure 1As shown, an embodiment of the present application provides a parameter-adaptive material batching system, including a batching control unit 10 and a data acquisition unit 20, a batching formula unit 30, a batching parameter unit 40, a control output unit 50 and a data analysis and optimization unit 60 connected to the batching control unit 10, and the data analysis and optimization unit 60 is connected to the batching parameter unit 40.

[0054] In the embodiment of the present application, the data acquisition unit 20 is used to connect to at least one material batching device, and the data acquisition unit 20 is used to collect the output volume of each material batching device in real time and transmit the collected output volume to the batching control unit 10.

[0055] It should be noted that the material batching equipment can be a feeding machine, which is equipped with a storage tank, a motor for driving the feeding, a valve-controlled switch, and a weighing element (such as an electronic scale) for weighing. In this embodiment, the data acquisition unit 20 is connected to three material batching equipment as an example. The data acquisition unit 20 can also collect flow data from each valve-controlled switch in each material batching equipment.

[0056] In the embodiment of the present application, the batching recipe unit 30 is used to provide batching recipe data to the batching control unit 10. The batching recipe data includes the total weight, total amount, and / or ratio of each material. The batching recipe unit 30 is also used to add, delete, modify, and / or call the batching recipe data.

[0057] It should be noted that the batching formula unit 30 is used to provide the parameter-adaptive material batching system with initial batching formula data, and to provide overall data for the subsequent control of the operation of each material batching equipment. In this embodiment, the materials in the batching formula data include main ingredients and multiple auxiliary ingredients.

[0058] In the embodiment of the present application, the batching parameter unit 40 is used to provide the batching control unit 10 with the initial operating parameters of each material batching equipment, and the initial operating parameters include the feeding speed, the operating time and the feeding weight.

[0059] It should be noted that the initial operating parameters also include deceleration weight and stop weight. In this embodiment, different feeding speeds, running times, and feeding weights can be set according to needs, such as the speed, running time, and feeding weight of high-speed feeding, and the speed, running time, and feeding weight of low-speed feeding.

[0060] In an embodiment of the present application, the batching control unit 10 is used to configure execution parameters based on the batching formula data and the initial operating parameters of each material batching equipment. The execution parameters include the execution process and the set feeding amount, set feeding speed, set operating time and set feeding deviation of each of the material batching equipment.

[0061] It should be noted that the batching control unit 10 first determines the execution process and the set feeding amount, set feeding speed, set operating time and set feeding deviation required for each material batching equipment based on the total feeding amount, the total feeding weight and feeding ratio of each material and the initial operating parameters of each material batching equipment. For example, taking three material batching equipment as an example, the configured execution process is high-speed feeding for the first material batching equipment, low-speed feeding for the second material batching equipment and pulsating feeding for the third material batching equipment. Among them, when executing high-speed feeding, the motor of the first material batching equipment is controlled to run at a higher first feeding speed V1 until the discharge amount reaches the set feeding amount W corresponding to the first material batching equipment. 1, enter low-speed feeding; when executing low-speed feeding, control the motor of the second material batching device to run at a lower second feeding speed V2 until the discharge reaches the set feeding amount W2 corresponding to the second material batching device, and then enter pulsating feeding; when executing pulsating feeding, control the third material batching device to run at an extremely low third feeding speed V3, pulsating start and stop, that is, running time T1 seconds and then stopping time T2 seconds, and execute cyclically until the discharge reaches the set feeding amount W3 corresponding to the third material batching device, so that the difference between the actual discharge amount of the first material batching device, the second material batching device and the third material batching device and the corresponding set feeding amount is within the accuracy allowable range of the set feeding deviation. In this embodiment, the configuration execution process is set according to demand. Only by allocating the batching formula data according to the initial operating parameters of the material batching device according to demand to obtain the set feeding amount, set feeding speed, set operating time and set feeding deviation of each material batching device, this configuration can be set according to demand. The batching control unit 10 can control the execution process of the material and automatically adjust the material according to the set execution parameters and initial operation parameters by controlling the output unit.

[0062] In an embodiment of the present application, the control output unit 50 is used to control the initial material feeding of each corresponding material batching equipment according to the execution parameters and the initial operating parameters, and obtain the initial actual feeding data through the data acquisition unit after the material feeding is completed. The initial actual feeding data includes multiple sets of data sets, and each set of data sets includes the actual feeding speed, actual running time, actual stop time and actual total amount of feeding of each material batching equipment.

[0063] It should be noted that the control output unit 50 controls the execution components (e.g., motors, valve-controlled switches, etc.) of each material batching device based on the execution parameters and initial operating parameters to achieve initial material delivery. After each material delivery, the data acquisition unit 10 acquires initial actual material delivery data.

[0064] In the embodiment of the present application, the data analysis and optimization unit 60 is used to optimize the initial operating parameters using a feeding deviation method according to the initial actual feeding data and the execution parameters to obtain optimized operating parameters.

[0065] It should be noted that the data analysis and optimization unit 60 analyzes the initial actual feeding data and execution parameters as historical data, and uses the analysis results to optimize the initial operating parameters to obtain optimized operating parameters. In this embodiment, the optimized operating parameters include optimized feeding weight, optimized feeding speed, and optimized operating time. The control and output unit 50 is then further configured to control each corresponding material batching device to perform the next material feeding based on the execution parameters and optimized operating parameters. After the material feeding is completed, updated actual feeding data is obtained through the data acquisition unit 20. The updated actual feeding data is used as the initial actual feeding data for the next material feeding, and the optimized operating parameters are used as the initial operating parameters for the next material feeding. The batching parameter unit 40, the batching control unit 10, the control and output unit 50, and the data analysis and optimization unit 60 then coordinate to adaptively control each corresponding material batching device to perform the next material feeding. The data analysis and optimization unit 60 is configured to analyze historical material feeding data (such as the initial actual feeding data) and optimize the current initial operating parameters in the batching parameter unit 40 based on the analyzed data to obtain optimized operating parameters, providing data for subsequent online adaptive material feeding.

[0066] In an embodiment of the present application, the parameter-adaptive material batching system analyzes the initial actual batching data of the completed batching as historical batching data through the data analysis and optimization unit 60, and obtains the operating parameters for the next batching, so that the parameter-adaptive material batching system automatically adjusts the operating parameters of the batching, and realizes automatic adaptation of parameters when material properties change, so as to solve the impact of material changes on metering accuracy, and also makes the accuracy distribution between each material in the batching formula data more reasonable, closer to the theoretical formula, and realizes the dispersion of the actual batching accuracy distribution of each material.

[0067] The present application provides a parameter-adaptive material batching system, comprising a batching control unit and a data acquisition unit, a batching formula unit, a batching parameter unit, a control output unit and a data analysis and optimization unit connected to the batching control unit, wherein the data analysis and optimization unit is connected to the batching parameter unit; the data acquisition unit is used to be connected to at least one material batching device, and the data acquisition unit is used to collect the output of each material batching device in real time and transmit the collected output to the batching control unit; the batching formula unit is used to provide the batching control unit with batching formula data, and the batching formula data includes the total feeding weight, total feeding amount and / or feeding ratio of each material; the batching parameter unit is used to provide the batching control unit with the initial operating parameters of each material batching device, and the initial operating parameters include feeding speed, running time and feeding weight; the batching control unit is used to configure execution parameters according to the batching formula data and the initial operating parameters of each material batching device, and the execution parameters include the execution process and the set feeding amount, set feeding speed, set running time and set feeding deviation of each material batching device; the control output The unit is used to control the initial material feeding of each corresponding material batching equipment according to the execution parameters and initial operating parameters, and obtain the initial actual feeding data through the data acquisition unit after the material feeding is completed. The initial actual feeding data includes multiple data sets, and each data set includes the actual feeding speed, actual running time, actual stop time and actual total feeding amount of each material batching equipment; the data analysis and optimization unit is used to optimize the initial operating parameters using the feeding deviation method according to the initial actual feeding data and the execution parameters to obtain the optimized operating parameters; wherein, the control output unit is also used to control the corresponding each material batching equipment to feed the next material according to the execution parameters and the optimized operating parameters, and obtain the updated actual feeding data through the data acquisition unit after the material feeding is completed; the updated actual feeding data is used as the initial actual feeding data for the re-feeding of the material, and the optimized operating parameters are used as the initial operating parameters for the re-feeding of the material, and then the batching parameter unit, the batching control unit, the control output unit and the data analysis and optimization unit cooperate with each other to adaptively control the re-feeding of the corresponding each material batching equipment. The parameter-adaptive material batching system first obtains the initial actual feeding data of the material feeding history through the data acquisition unit, the batching formula unit, the batching parameter unit and the batching control unit, and then uses the data analysis and optimization unit to analyze the historical initial actual feeding data to obtain the optimized operating parameters for the next material feeding; finally, the data analysis and optimization unit, the batching control unit, the data acquisition unit, the batching parameter unit and the control output unit are used to optimize the initial operating parameters and control the material batching equipment to perform adaptive material feeding, so that the parameter-adaptive material batching system can automatically adjust when the material characteristics change, thereby improving the feeding accuracy and the quality of the production products; and solves the technical problem that the current industry material batching system cannot automatically adjust when the material characteristics change, resulting in poor feeding accuracy and affecting the quality of the production products.

[0068] Figure 2 This is a schematic diagram of the framework of the data analysis and optimization unit in the parameter-adaptive material batching system described in an embodiment of the present application.

[0069] like Figure 2 As shown, in one embodiment of the present application, the data analysis and optimization unit 60 includes a difference calculation subunit 61, a weighted calculation subunit 62 and an optimization parameter subunit 63;

[0070] The difference calculation subunit 61 is used to calculate the difference between the actual total amount of material fed of each data set in the initial actual material feeding data, the set material feeding deviation in the execution parameter and the corresponding set material feeding amount to obtain the deviation data of each data set;

[0071] The weighted calculation subunit 62 is used to obtain the adjustment coefficient and the weighted coefficient of each data set, and perform weighted calculation based on all deviation data, the adjustment coefficient and the weighted coefficient of each data set to obtain the compensation weight;

[0072] The optimization parameter subunit 63 is used to calculate based on the compensation weight and the feed weight of the initial operating parameters to obtain the optimized feed weight of the optimized operating parameters; and to calculate based on the feed weight and the compensation weight to obtain the optimization coefficient; and to calculate based on the feed speed, the operating time and the optimization coefficient of the initial operating parameters to obtain the optimized feed speed and the optimized operating time of the optimized operating parameters;

[0073] The weighted calculation subunit 62 is further configured to assign a value of 0 to the deviation data if the deviation data is within a set deviation threshold range.

[0074] It should be noted that the data analysis and optimization unit 60 analyzes the historical initial actual feeding data through the difference calculation subunit 61, the weighted calculation subunit 62 and the optimization parameter subunit 63 to obtain the optimized operating parameters. In this embodiment, three sets of data sets are used as examples, and the actual feeding speed, actual running time, actual stop time and actual total feeding amount are recorded as V2, T1, T2 and W2 respectively, and the set feeding deviation amount is recorded as EW. In the difference calculation subunit 61, the difference between the actual total feeding amount W2 of the three sets of data sets and the corresponding set feeding amount is recorded as EW1, EW2, and EW3 respectively, and then each difference is calculated with the set feeding deviation amount EW to obtain the corresponding deviation data In the weighted calculation subunit 62, the deviation data is first determined. Is it within the set deviation threshold range? If the deviation data If the deviation is within the set deviation threshold, the deviation data is assigned a value of 0 (e.g. If the deviation data If it is not within the set deviation threshold range, the deviation data is maintained at the original value. Secondly, the adjustment coefficient K and the weighting coefficients of each data set are obtained. The weighting coefficients are A1, A2, and A3 respectively, and 0 < K < 1. Finally, the weighted calculation subunit 62 calculates using the compensation weight formula to obtain the compensation weight W. The supplementary weight formula is ). In the optimization parameter subunit 63, the difference between the compensation weight and the feeding weight is calculated to obtain the optimized feeding weight W', that is, W' = W2 - W; the ratio of the compensation weight to the feeding weight is used as the optimization coefficient J, that is, J = W / W2; the optimized feeding speed V' of the optimized operating parameters is calculated according to the feeding speed of the initial operating parameters and the optimization coefficient, that is, V' = (1 - J) * V2, and 0 < V' < 2V2; the optimized operating time T1' of the optimized operating parameters is calculated according to the operating time of the initial operating parameters and the optimization coefficient, that is, T1' = (1 - J) * T1, and 0 < T1' < 2T1. Among them, the data set in the embodiment can be set according to requirements, and this embodiment is not specifically limited.

[0075] In an embodiment of the present application, the ingredient formula unit 30 is further configured to add, delete, modify, and / or call ingredient formula data, facilitating the management of ingredient formula data by the parameter-adaptive material batching system.

[0076] Figure 3 It is a schematic framework diagram of the parameter-adaptive material batching system described in another embodiment of the present application.

[0077] As Figure 3 shown, in an embodiment of the present application, the parameter-adaptive material batching system includes a ratio optimization unit 70. The ratio optimization unit 70 is configured to adjust the total feeding weight of the auxiliary materials in the ingredient formula data according to the actual total feeding amount of the main materials in the ingredient formula data. The ratio optimization unit 70 is respectively connected to the batching control unit 10 and the ingredient formula unit 30.

[0078] It should be noted that the ratio optimization unit 70 is used to online optimize and adjust the total weight of the auxiliary materials according to the actual total amount of the main material in the ingredient formula data. This allows the parameter-adaptive material batching system to adaptively adjust the ingredient formula data according to the customer's recipe ratio. In this embodiment, the ingredient formula data includes main ingredient A, auxiliary ingredient B1, and auxiliary ingredient B2. The total weight of the main ingredient A recipe is WA; the total weight of the auxiliary ingredient B1 recipe is WB1; and the total weight of the auxiliary ingredient B2 recipe is WB2. In the ratio optimization unit 70, after the ingredients are added, the actual total weight of the main ingredient A is wA. For auxiliary ingredients B1 and B2, the total weight of the recipe is recorded as wB1 and wB2, respectively. The adjusted wB1 and wB2 are: wB1 = wA / WA*WB1; wB2 = wA / WA*WB2. Among them, the parameter-adaptive material batching system can realize online adaptation of the actual material batching parameters of each material, improve the system's adaptability to the material, and greatly reduce the impact of changes in material properties on batching accuracy; at the same time, through the optimization of the total weight of the auxiliary material feed by the ratio optimization unit 70, the total weight of the auxiliary material feed is automatically converted according to the ratio based on the actual total amount of the main material feed, and the batching accuracy distribution of each material tends to be more reasonable, thereby improving the quality of the generated product and thus improving the consistency of the product.

[0079] Figure 4 This is a schematic diagram of the framework of a parameter-adaptive material batching system described in another embodiment of the present application.

[0080] like Figure 4 As shown, in one embodiment of the present application, the parameter-adaptive material batching system includes a data storage unit 80 for storing actual feeding data, and the data storage unit 80 is connected to the batching control unit 10.

[0081] It should be noted that the data storage unit 80 is used to store and obtain the actual feeding data of each material batching equipment.

[0082] Example 2:

[0083] Figure 5 This is a schematic diagram of the steps of the parameter-adaptive material batching method described in an embodiment of the present application.

[0084] like Figure 5 As shown, the embodiment of the present application provides a parameter-adaptive material batching method, comprising the following steps:

[0085] S1. Obtain the number of material batching equipment and the batching formula data and the initial operating parameters of each material batching equipment, the initial operating parameters include the feeding speed, running time and feeding weight, the batching formula data includes the total feeding weight of each material, the total feeding amount and / or feeding ratio;

[0086] S2. Configure execution parameters based on the batching recipe data and the initial operating parameters of each material batching equipment. The execution parameters include the execution process and the set feed amount, set feed speed, set operating time, and set feed deviation for each material batching equipment;

[0087] S3. Control the initial feeding of each material batching device according to the execution parameters and initial operating parameters, and obtain the initial actual feeding data after the feeding of the material is completed. The initial actual feeding data includes multiple sets of data sets, each set of data sets includes the actual feeding speed, actual running time, actual stop time and actual feeding amount of each material batching device;

[0088] S4. Based on the initial actual feeding data and execution parameters, the initial operating parameters are optimized by feeding deviation to obtain the optimized operating parameters;

[0089] S5. Control each material batching device to deliver the next material according to the execution parameters and optimized operation parameters, and obtain and update the actual material delivery data after the delivery is completed;

[0090] S6. Update the actual feeding data as the initial actual feeding data for re-feeding the material, optimize the operating parameters as the initial operating parameters for re-feeding the material, and then adaptively control each material batching equipment according to steps S4 and S5 to re-feed the material.

[0091] It should be noted that the contents of the steps in the method of Example 2 have been described in the contents of the module in the system of Example 1, and the contents of the steps of the parameter-adaptive material batching method will not be repeated in this embodiment.

[0092] In the embodiment of the present application, the initial operating parameters are optimized using a feeding deviation method based on the initial actual feeding data and the execution parameters, and the optimized operating parameters include:

[0093] The actual total amount of material fed of each data set in the initial actual material feeding data, the material feeding deviation set in the execution parameters and the corresponding set material feeding amount are calculated to obtain the deviation data of each data set;

[0094] Obtaining the adjustment coefficient and the weighting coefficient of each data set, performing weighted calculation according to all deviation data and the adjustment coefficient and the weighting coefficient of each data set to obtain the compensation weight;

[0095] Calculate the optimized feeding weight of the optimized operating parameters based on the compensation weight and the feeding weight of the initial operating parameters;

[0096] Calculate the optimization coefficient based on the feed weight and compensation weight;

[0097] The optimized feeding speed and optimized running time of the optimized running parameters are calculated respectively according to the feeding speed, running time and optimization coefficient of the initial running parameters.

[0098] In an embodiment of the present application, the parameter-adaptive material batching method includes adjusting the total weight of the auxiliary materials in the batching formula data according to the actual total amount of the main materials in the batching formula data.

[0099] Example 3:

[0100] An embodiment of the present application provides a terminal device, including a processor and a memory;

[0101] A memory, configured to store program codes and transmit the program codes to a processor;

[0102] The processor is used to execute the above-mentioned parameter-adaptive material batching method according to the instructions in the program code.

[0103] It should be noted that the processor is configured to execute the steps of the above-mentioned parameter-adaptive material batching method embodiment according to the instructions in the program code. Alternatively, the processor implements the functions of the modules / units in the above-mentioned system / device embodiments when executing the computer program.

[0104] For example, a computer program may be divided into one or more modules / units, one or more of which are stored in a memory and executed by a processor to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0105] Terminal devices can be computing devices such as desktop computers, laptops, PDAs, and cloud servers. Terminal devices may include, but are not limited to, processors and memory. Those skilled in the art will appreciate that this does not constitute a limitation on terminal devices and may include more or fewer components than shown, or a combination of certain components, or different components. For example, terminal devices may also include input / output devices, network access devices, buses, and the like.

[0106] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0107] Memory can be an internal storage unit of a terminal device, such as a hard drive or memory. It can also be an external storage device, such as a plug-in hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, memory can include both internal and external storage units. Memory is used to store computer programs and other programs and data required by the terminal device. Memory can also be used to temporarily store data that has been output or is about to be output.

[0108] Those skilled in the art will 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.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0111] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0112] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute 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 code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0113] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these 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 application.

Claims

1. A parameter-adaptive material batching system, characterized in that: include: An ingredient control unit and a data acquisition unit, an ingredient formula unit, an ingredient parameter unit, a control output unit and a data analysis and optimization unit connected to the ingredient control unit, wherein the data analysis and optimization unit is connected to the ingredient parameter unit; The data acquisition unit is used to be connected to at least one material batching device, and the data acquisition unit is used to collect the discharge amount of each material batching device in real time and transmit the collected discharge amount to the batching control unit; The batching formula unit is used to provide the batching formula data to the batching control unit, wherein the batching formula data includes the total weight, total amount and / or proportion of each material; The batching parameter unit is used to provide the batching control unit with the initial operating parameters of each of the material batching equipment, wherein the initial operating parameters include the feeding speed, the operating time and the feeding weight; The batching control unit is used to configure execution parameters according to the batching formula data and the initial operating parameters of each of the material batching equipment, wherein the execution parameters include the execution process and the set feeding amount, set feeding speed, set operating time and set feeding deviation of each of the material batching equipment; The control output unit is used to control each of the material batching equipment to initially feed materials according to the execution parameters and the initial operating parameters, and to obtain initial actual feeding data through the data acquisition unit after the feeding of materials is completed, wherein the initial actual feeding data includes multiple sets of data sets, each set of the data sets including the actual feeding speed, actual running time, actual stop time and actual total amount of feeding of each of the material batching equipment; The data analysis and optimization unit is used to optimize the initial operating parameters by adopting a feeding deviation method according to the initial actual feeding data and the execution parameters to obtain optimized operating parameters; Among them, the control output unit is also used to control each corresponding material batching equipment to carry out the next material feeding according to the execution parameters and the optimized operation parameters, and obtain the updated actual feeding data through the data acquisition unit after the material feeding is completed; the updated actual feeding data is used as the initial actual feeding data for the re-feeding of materials, and the optimized operation parameters are used as the initial operation parameters for the re-feeding of materials, and then the batching parameter unit, the batching control unit, the control output unit and the data analysis and optimization unit cooperate with each other to adaptively control each corresponding material batching equipment to feed materials again.

2. The parameter-adaptive material batching system according to claim 1, characterized in that: The data analysis and optimization unit includes a difference calculation subunit, a weighted calculation subunit and an optimization parameter subunit; The difference calculation subunit is used to perform difference calculation on the actual total amount of feed of each group of the data set in the initial actual feed data, the set feed deviation in the execution parameter and the corresponding set feed amount to obtain deviation data of each group of the data set; The weighted calculation subunit is used to obtain the adjustment coefficient and the weighted coefficient of each group of the data sets, and perform weighted calculation based on all the deviation data and the adjustment coefficient and the weighted coefficient of each group of the data sets to obtain the compensation weight; The optimization parameter subunit is used to calculate according to the compensation weight and the feeding weight of the initial operating parameters to obtain the optimized feeding weight of the optimized operating parameters; and calculating an optimization coefficient based on the feeding weight and the compensation weight; The optimized feeding speed and optimized running time of the optimized running parameters are obtained by respectively calculating the feeding speed and running time of the initial running parameters and the optimization coefficient.

3. The parameter-adaptive material batching system according to claim 2, characterized in that: The weighted calculation subunit is further configured to assign a value of 0 to the deviation data if the deviation data is within a set deviation threshold range.

4. The parameter-adaptive material batching system according to any one of claims 1 to 3, characterized in that: The ingredient formula unit is also used to add, delete, modify and / or call the ingredient formula data.

5. The parameter-adaptive material batching system according to any one of claims 1 to 3, characterized in that: It includes a ratio optimization unit, which is used to adjust the total weight of the auxiliary materials in the ingredient formula data according to the actual total amount of the main material in the ingredient formula data. The ratio optimization unit is connected to the ingredient control unit and the ingredient formula unit respectively.

6. The parameter-adaptive material batching system according to any one of claims 1 to 3, characterized in that: It comprises a data storage unit for storing the actual feeding data, and the data storage unit is connected to the batching control unit.

7. A parameter-adaptive material batching method, characterized in that: The following steps are involved: S1. Obtain the number of material batching equipment and the batching formula data and the initial operating parameters of each material batching equipment, the initial operating parameters include the feeding speed, running time and feeding weight, the batching formula data includes the total feeding weight of each material, the total feeding amount and / or feeding ratio; S2. According to the batching formula data and the initial operating parameters of each of the material batching equipment configuration execution parameters, the execution parameters include the execution process and each of the material batching equipment set feed amount, set feed speed, set operating time and set feed deviation; S3. Control each of the material batching equipment to perform initial material feeding according to the execution parameters and the initial operating parameters, and obtain initial actual feeding data after the material feeding is completed, the initial actual feeding data includes multiple sets of data sets, each set of the data sets includes the actual feeding speed, actual running time, actual stop time and actual total feeding amount of each material batching equipment; S4. Based on the actual initial feeding data and the execution parameters, the initial operating parameters are optimized using the feeding deviation method to obtain the optimized operating parameters; S5. Control the corresponding material batching equipment for the next material delivery according to the execution parameters and the optimized operating parameters, and obtain updated actual material delivery data after the delivery of the material is completed; S6. Use the updated actual feeding data as the initial actual feeding data for re-feeding materials, and the optimized operating parameters as the initial operating parameters for re-feeding materials, and then adaptively control each corresponding material batching equipment according to steps S4 and S5 to re-feed materials.

8. The parameter-adaptive material batching method according to claim 7, characterized in that: The initial operating parameters are optimized using a feeding deviation method according to the initial actual feeding data and the execution parameters, and the optimized operating parameters obtained include: Calculate the difference between the actual total amount of material fed of each set of the data set in the initial actual material feeding data, the set material feeding deviation in the execution parameter, and the corresponding set material feeding amount to obtain deviation data of each set of the data set; Obtaining an adjustment coefficient and a weighting coefficient of each set of the data sets, and performing weighted calculation based on all the deviation data and the adjustment coefficient and the weighting coefficient of each set of the data sets to obtain a compensation weight; Calculating according to the compensation weight and the feeding weight of the initial operating parameters to obtain the optimized feeding weight of the optimized operating parameters; Calculating the optimization coefficient based on the feeding weight and the compensation weight; The optimized feeding speed and optimized running time of the optimized running parameters are obtained by respectively calculating the feeding speed and running time of the initial running parameters and the optimization coefficient.

9. The parameter-adaptive material batching method according to claim 7, characterized in that: This includes adjusting the total weight of the auxiliary materials in the ingredient formula data according to the actual total weight of the main material in the ingredient formula data.

10. A terminal device, characterized in that: including a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the parameter-adaptive material batching method according to any one of claims 7 to 9 according to the instructions in the program code.

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