Method and system for evaluating and optimizing compounding effect of millet oil

Abstract

The invention relates to the technical field of food processing, in particular to a millet oil compounding effect evaluation and optimization method and system.The method comprises the steps that a pre-constructed millet oil compounding treatment system is started, a sample set is obtained, components are analyzed, a compounding proportion scheme set is generated, and the compounding process is monitored in real time through a dynamic monitor; a quality evaluation module is used for analyzing to obtain a compounding effect evaluation value, and an optimal compounding proportion scheme is generated based on an optimization feedback unit to complete production. The scientificity and accuracy of the millet oil compounding process can be remarkably improved, and the requirements of consumers for health and quality are met.

Description

Technical Field

[0001] This invention belongs to the field of food processing technology, specifically a method and system for evaluating and optimizing the compounding effect of millet oil. Background Technology

[0002] Millet oil, a nutritious and naturally healthy vegetable oil, has received widespread attention in the food industry and health sector in recent years. Rich in vitamin E, linoleic acid, squalene, and other trace elements, millet oil possesses antioxidant, immune-boosting, and lipid-regulating effects, thus holding immense potential in the health food market.

[0003] Currently, compounding technology is widely used in the oil industry. Through the scientific combination and process optimization of various raw materials, the functionality, stability, and sensory characteristics of products can be significantly improved, meeting consumers' demands for health and quality. However, existing compounding technologies still have some shortcomings in their application to specific raw materials (such as millet oil), especially in the lack of systematic support for the evaluation and optimization methods of compounding effects, which restricts the development and application of related technologies.

[0004] A search revealed a patent for gluten-free quick-cooking pasta, its preparation method, and formula, with publication number CN104381857B, published on June 20, 2017. This patent selects millet and other grains as the main ingredients, preparing gluten-free quick-cooking pasta through multi-stage extrusion, aging treatment, re-steaming, and variable-temperature drying processes. While the technical solution involves the blending of millet with other ingredients, it does not provide a systematic evaluation method for the blending effect, particularly lacking quantitative analysis of the relationship between ingredient ratios, process parameters, and the final product performance. Furthermore, this technical solution is only applicable to the development of pasta products and fails to form a universal blending optimization system, limiting its application to other food or oil fields.

[0005] A search revealed a plant-based sunscreen and its preparation method, published on December 11, 2020, with publication number CN108096115B. This patent achieves a synergistic sun protection effect by compounding eyebright extract with other plant extracts and chemical sunscreens. However, this technical solution primarily focuses on the development of specific formulations, lacking in-depth research on the interaction mechanisms between raw materials during the compounding process, and failing to propose a systematic evaluation and optimization method. Furthermore, the application scenario of this solution is limited to the cosmetics field, offering limited support for the improvement and innovation of oil compounding technology.

[0006] The aforementioned problems indicate that existing compounding technologies still have certain limitations in terms of raw material selection, process parameter optimization, and effect evaluation. In particular, for the compounding application of specific raw materials such as millet oil, there is a lack of scientific and systematic evaluation and optimization methods. Therefore, this invention provides a method and system for evaluating and optimizing the compounding effect of millet oil. The aim is to improve the scientific rigor and accuracy of the compounding process by establishing a comprehensive evaluation model and optimization procedures, thereby promoting the efficient application and development of millet oil compounding technology. Summary of the Invention

[0007] This invention provides a method and system for evaluating and optimizing the compounding effect of millet oil. Its main purpose is to improve the accuracy of the compounding process by establishing a scientific evaluation model and optimizing the process, thereby improving the functionality, stability and sensory characteristics of millet oil compound products and meeting consumers' needs for health and quality.

[0008] To achieve the above objectives, this invention provides a method for evaluating and optimizing the compounding effect of millet oil, comprising: starting a pre-constructed millet oil compounding processing system, wherein the millet oil compounding processing system includes a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, and an optimization feedback unit; acquiring a millet oil sample set, and using the raw material separation device and the component analyzer to perform component analysis on the millet oil sample set to obtain a basic component dataset; based on the basic component dataset, using the mixing controller to generate a compounding ratio scheme set; using the dynamic monitoring instrument to perform real-time monitoring operations on each scheme in the compounding ratio scheme set to obtain a dynamic performance parameter set; using the quality assessment module to perform comprehensive analysis on the dynamic performance parameter set to obtain a compounding effect evaluation value; based on the compounding effect evaluation value, using the optimization feedback unit to generate an optimal compounding ratio scheme; and completing the millet oil compounding production according to the optimal compounding ratio scheme.

[0009] Optionally, the composition of the millet oil sample set is analyzed using a raw material separation device and a component analyzer, including: placing the millet oil sample set into the raw material separation device, performing a separation operation on the millet oil sample set using the raw material separation device to obtain an initial separated component set, wherein the initial separated component set includes fatty acid components, vitamin components and other trace components; performing a component content determination operation on each component in the initial separated component set using the component analyzer to obtain an initial component content set; and classifying the initial separated component set based on the initial component content set using a preset component classification rule to obtain a basic component dataset, wherein the basic component dataset includes the fatty acid content distribution, vitamin content distribution and other trace component content distribution.

[0010] Optionally, based on the basic component dataset, a set of compound proportion schemes is generated using a mixing controller, including: wherein the mixing controller includes a proportion calculation unit and a scheme generation unit; the proportion calculation unit performs a proportion allocation operation on the fatty acid content distribution, vitamin content distribution and other trace component content distribution in the basic component dataset to obtain a preliminary proportion allocation set; based on the preliminary proportion allocation set, the scheme generation unit generates a set of compound proportion schemes, wherein the set of compound proportion schemes includes multiple sets of compound proportion schemes, and each set of compound proportion schemes includes fatty acid proportions, vitamin proportions and other trace component proportions.

[0011] Optionally, a dynamic monitoring instrument is used to perform real-time monitoring on each scheme in the compounding ratio scheme set to obtain a dynamic performance parameter set, including: wherein the dynamic monitoring instrument includes a temperature sensor, a pressure sensor, and a flow meter; compounding ratio schemes are extracted sequentially from the compounding ratio scheme set, and the following operations are performed on the extracted compounding ratio schemes: the temperature sensor is used to perform real-time monitoring on the operating temperature of the equipment during the compounding process to obtain a temperature change curve; the pressure sensor is used to perform real-time monitoring on the operating pressure of the equipment during the compounding process to obtain a pressure change curve; the flow meter is used to perform real-time monitoring on the flow velocity of the material during the compounding process to obtain a flow velocity change curve; the temperature change curve, pressure change curve, and flow velocity change curve are summarized to obtain a dynamic performance parameter set.

[0012] Optionally, a quality assessment module is used to comprehensively analyze the dynamic performance parameter set to obtain a compounding effect evaluation value. This includes: the quality assessment module comprising a parameter weighting unit and an evaluation calculation unit; assigning weighting coefficients to the temperature change curve, pressure change curve, and flow rate change curve in the dynamic performance parameter set using the parameter weighting unit to obtain a weighted performance parameter set; and calculating the compounding effect evaluation value using the evaluation calculation unit in conjunction with a preset quality assessment function, wherein the quality assessment function is as follows: Where Q is the evaluation value of the compound effect. Let be the weighting coefficient of the i-th dynamic performance parameter. Let be the standardized value of the i-th dynamic performance parameter, and n be the total number of dynamic performance parameters.

[0013] Optionally, based on the compounding effect evaluation value, an optimal compounding ratio scheme is generated using an optimization feedback unit, including: wherein the optimization feedback unit includes an evaluation screening unit and a ratio adjustment unit; the evaluation screening unit sorts the compounding effect evaluation values ​​to obtain a ranking set of evaluation values; based on the ranking set of evaluation values, the compounding ratio scheme with the largest compounding effect evaluation value is selected as the candidate optimal scheme; the ratio adjustment unit performs fine-tuning operations on the fatty acid ratio, vitamin ratio, and other trace component ratios in the candidate optimal scheme to obtain the optimal compounding ratio scheme.

[0014] Optionally, the production of millet oil compounding is completed according to the optimal compounding ratio scheme, including: inputting the optimal compounding ratio scheme into a pre-constructed compounding control unit, using the compounding control unit to perform precise control operations on the proportions of fatty acids, vitamins and other trace components in the compounding ratio scheme; using a pre-constructed mixing device to perform a uniform mixing operation on the compounded materials to obtain compounded millet oil; and using a pre-constructed quality testing instrument to perform a final quality testing operation on the compounded millet oil to obtain the finished compounded millet oil.

[0015] To achieve the above objectives, the present invention also provides a system for evaluating and optimizing the compounding effect of millet oil, comprising: a raw material component analysis module, used to start a pre-constructed millet oil compounding processing system, wherein the millet oil compounding processing system includes a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, and an optimization feedback unit, to acquire a millet oil sample set, and to perform component analysis on the millet oil sample set using the raw material separation device and the component analyzer to obtain a basic component dataset; a compounding ratio generation module, used to generate a set of compounding ratio schemes based on the basic component dataset using the mixing controller; a dynamic performance monitoring module, used to perform real-time monitoring operations on each scheme in the set of compounding ratio schemes using the dynamic monitoring instrument to obtain a set of dynamic performance parameters; a compounding effect evaluation module, used to perform comprehensive analysis on the set of dynamic performance parameters using the quality assessment module to obtain a compounding effect evaluation value; an optimization ratio generation module, used to generate an optimal compounding ratio scheme based on the compounding effect evaluation value using the optimization feedback unit; and a compounding production execution module, used to complete the compounding production of millet oil according to the optimal compounding ratio scheme.

[0016] To address the aforementioned problems, the present invention also provides an electronic device, comprising: a memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the aforementioned method for evaluating and optimizing the compounding effect of millet oil.

[0017] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for evaluating and optimizing the compounding effect of millet oil.

[0018] To address the problems described in the background section, this invention utilizes a pre-built millet oil compounding system. This system includes a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, and an optimization feedback unit. The purpose of this embodiment is to improve the automation and accuracy of the compounding process by employing a millet oil compounding system integrating multiple devices. Furthermore, a millet oil sample set is obtained, and the raw material separation device and component analyzer are used to analyze the components of the sample set, resulting in a basic component dataset. This embodiment clarifies the specific content distribution of each component through component separation and analysis, laying the foundation for generating subsequent compounding ratio schemes. Based on the basic component dataset, a compounding ratio scheme set is generated using the mixing controller. This embodiment ensures the scientific accuracy of the compounding ratio scheme by allocating proportions within the basic component dataset through the mixing controller. The invention demonstrates scientific rigor and rationality by utilizing a dynamic monitoring instrument to perform real-time monitoring of each group of compounding ratio schemes in a set, obtaining a dynamic performance parameter set. This shows that the embodiment of the invention uses a dynamic monitoring instrument to monitor key parameters in the compounding process in real time, ensuring the stability and controllability of the compounding process. A quality assessment module is used to comprehensively analyze the dynamic performance parameter set, obtaining a compounding effect evaluation value. This shows that the embodiment of the invention uses a quality assessment module to quantitatively evaluate dynamic performance parameters, providing a basis for optimizing the compounding effect. Based on the compounding effect evaluation value, an optimization feedback unit is used to generate the optimal compounding ratio scheme. This shows that the embodiment of the invention uses an optimization feedback unit to screen and fine-tune the compounding ratio scheme, ensuring the generation of the optimal compounding ratio scheme. The millet oil compounding production is completed according to the optimal compounding ratio scheme. This shows that the embodiment of the invention ensures the quality and performance of the finished millet oil compounding product through precise control and uniform mixing of the optimal compounding ratio scheme. Therefore, the invention can significantly improve the scientific rigor and precision of the millet oil compounding process, meeting consumers' demands for health and quality. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the method for evaluating and optimizing the compounding effect of millet oil provided in an embodiment of the present invention.

[0020] Figure 2 This is a schematic diagram illustrating the working principle of the dynamic monitoring instrument provided in an embodiment of the present invention.

[0021] Figure 3 The schematic diagram of the module structure of the millet oil compounding effect evaluation and optimization system provided in the embodiment of the present invention includes a raw material component analysis module, a compounding ratio generation module, a dynamic performance monitoring module, a compounding effect evaluation module, an optimization ratio generation module, and a compounding production execution module. Detailed Implementation

[0022] This invention provides a method and system for evaluating and optimizing the compounding effect of millet oil. It achieves precise control and optimization of the millet oil compounding process through the coordinated work of a series of devices and modules. The following is in conjunction with the appendix... Figure 1 To be continued Figure 3 The accompanying diagrams and markings of each component are described in detail. In practical applications, the entire system consists of a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, an optimization feedback unit, a temperature sensor, a pressure sensor, a flow meter, and a compounding control unit. The functions of each component are integrated through physical connections and data transmission.

[0023] First, when starting the pre-built millet oil compounding system, the millet oil sample set needs to be placed into the raw material separation device. Located at the front end of the system, this device contains separation components to initially separate the fatty acid components, vitamin components, and other trace components from the millet oil sample set. After separation, the initial separated component set is transported to a component analyzer. Connected to the raw material separation device via piping, the component analyzer contains a high-precision detection probe capable of determining the content of each component in the initial separated components. During this process, the component analyzer generates an initial component content set and classifies it based on preset component classification rules, ultimately outputting a basic component dataset. This basic component dataset includes the distribution of fatty acid content, vitamin content, and other trace component content; this data provides the basis for generating subsequent compounding ratio schemes.

[0024] Next, the mixing controller receives the basic component dataset from the component analyzer and begins generating a set of compound proportion schemes. The mixing controller internally includes a proportion calculation unit and a scheme generation unit. The proportion calculation unit allocates an initial proportion allocation set based on the characteristics of the fatty acid, vitamin, and other trace component content distributions in the basic component dataset. The scheme generation unit then generates multiple sets of compound proportion schemes based on the initial proportion allocation set, each scheme including the proportions of fatty acids, vitamins, and other trace components. The mixing controller is connected to the dynamic monitoring instrument via a data interface to ensure the real-time transmission and execution of the compound proportion schemes.

[0025] The dynamic monitoring instrument is one of the key devices in the compounding process, integrating temperature sensors, pressure sensors, and flow meters. After the compounding ratio scheme set is transmitted from the mixing controller to the dynamic monitoring instrument, it sequentially extracts each compounding ratio scheme and monitors the equipment's operating status in real time during the compounding process. Specifically, temperature sensors are installed at key locations in the compounding equipment to collect the equipment's operating temperature change curves during the compounding process; pressure sensors are placed near the equipment's pressure chambers to record the equipment's operating pressure change curves during the compounding process; and flow meters are placed along the material flow path to monitor the material's flow velocity change curves during the compounding process. The data from these three sensors are aggregated to form a dynamic performance parameter set, which is then transmitted to the quality assessment module.

[0026] The quality assessment module receives a set of dynamic performance parameters and performs a comprehensive analysis on them. Internally, the quality assessment module includes a parameter weighting unit and an assessment calculation unit. The parameter weighting unit assigns weight coefficients to the temperature change curve, pressure change curve, and flow rate change curve according to their importance, thereby generating a weighted performance parameter set. The assessment calculation unit calculates the compounding effect assessment value based on the weighted performance parameter set and a preset quality assessment function. The quality assessment function is in the following form: Where Q is the evaluation value of the compound effect. Let be the weighting coefficient of the i-th dynamic performance parameter. Let be the standardized value of the i-th dynamic performance parameter, and n be the total number of dynamic performance parameters. The quality assessment module is connected to the optimization feedback unit via a data line to transmit the compounding effect assessment value to the optimization feedback unit.

[0027] After receiving the compounding effect evaluation values, the optimization feedback unit uses its built-in evaluation and screening unit and proportion adjustment unit to generate the optimal compounding ratio scheme. The evaluation and screening unit sorts the compounding effect evaluation values, obtaining a ranked set of evaluation values, and selects the compounding ratio scheme with the highest evaluation value as the candidate optimal scheme. The proportion adjustment unit then performs fine-tuning operations on the fatty acid ratio, vitamin ratio, and other trace component ratios in the candidate optimal scheme, ultimately generating the optimal compounding ratio scheme. The optimization feedback unit transmits the optimal compounding ratio scheme to the compounding control unit via a data interface.

[0028] After receiving the optimal blending ratio, the compounding control unit precisely controls the proportions of fatty acids, vitamins, and other trace components in the ratio. The control unit is connected to the mixing device, which uniformly mixes the materials according to the optimal ratio, ultimately producing blended millet oil. The blended millet oil is then transported to a quality testing instrument for final quality inspection to ensure the finished product meets expected standards. The quality testing instrument is connected to the compounding control unit via a data cable, and the test results are fed back to the system in real time, providing a reference for subsequent production.

[0029] Throughout the system's operation, the collaborative relationships between modules are crucial. For example, the raw material separation unit is connected to the component analyzer via pipelines, ensuring that the separated components can smoothly enter the analyzer for further processing; the mixing controller and the dynamic monitoring instrument exchange information via a data interface, guaranteeing real-time updates to the compounding ratio scheme; the temperature sensor, pressure sensor, and flow meter in the dynamic monitoring instrument are positioned at different locations within the equipment, working together to comprehensively monitor the compounding process; the quality assessment module and the optimization feedback unit are connected via data lines, ensuring that the compounding effect evaluation value can be quickly transmitted to the optimization stage; the optimization feedback unit and the compounding control unit transmit the optimal compounding ratio scheme via a data interface, thereby guiding the final compounding production. Furthermore, signal transmission between modules employs standardized protocols to ensure data accuracy and reliability.

[0030] In practical applications, this system can be widely used in the food processing industry, especially in the compound production of oil products. By analyzing the composition of millet oil sample sets, generating compounding ratio schemes, monitoring dynamic performance parameters, and evaluating and optimizing compounding effects, this system can significantly improve the scientific rigor and accuracy of the compounding process, meeting consumers' demands for health and quality.

[0031] To enable those skilled in the art to fully understand and implement this invention, the specific implementation principle of this invention will be further explained below in conjunction with a specific application scenario.

[0032] In the food processing industry, the application of millet oil compounding technology is particularly crucial. Taking a food production company as an example, its goal was to develop a millet oil compounding product rich in various nutrients to meet market demand for functional oils. By introducing the millet oil compounding effect evaluation and optimization system provided by this invention, the company achieved precise control over the entire process from raw material analysis to final product production.

[0033] First, the millet oil sample set is placed in the raw material separation device, and the system's separation components are activated to perform preliminary processing of the sample. The raw material separation device separates the fatty acid components, vitamin components, and other trace components in the millet oil, generating an initial set of separated components. Subsequently, these components are transported through pipelines to a component analyzer. The component analyzer uses a high-precision detection probe to determine the content of each component and generates a basic component dataset based on preset classification rules. The key to this process is that the component analyzer can accurately identify the specific content distribution of each component, providing a scientific basis for the design of subsequent compounding ratios. For example, the determination revealed that millet oil has high levels of linoleic acid and vitamin E, which provides an important reference for how to balance the proportions of each component in the subsequent compounding process.

[0034] Next, the mixing controller receives the basic component dataset from the component analyzer and begins generating a set of compounding ratio schemes. The proportion calculation unit within the mixing controller allocates an initial proportion allocation set based on the characteristics of the fatty acid, vitamin, and other trace component content distributions. The scheme generation unit then generates multiple compounding ratio schemes based on the initial proportion allocation set, each containing different proportions of fatty acids, vitamins, and other trace components. For example, in one compounding ratio scheme, the fatty acid proportion is set to 50%, the vitamin proportion to 30%, and the other trace components to 20%. The mixing controller transmits these schemes to the dynamic monitoring instrument in real time via a data interface, ensuring the efficient execution of the compounding process.

[0035] As a core monitoring device in the compounding process, the dynamic monitoring instrument integrates temperature sensors, pressure sensors, and flow meters to monitor key parameters in real time. Temperature sensors are installed at critical locations on the compounding equipment to collect data on temperature changes; pressure sensors are positioned near the pressure chamber to record pressure changes; and flow meters are placed along the material flow path to monitor flow velocity. The data from these sensors are aggregated to form a dynamic performance parameter set, which is then transmitted to the quality assessment module. For example, when a specific compounding ratio is executed, the temperature sensor records that the equipment's operating temperature stabilizes at approximately 60°C, the pressure sensor shows the pressure remains at 0.5 MPa, and the flow meter detects a material flow rate of 2 L / min. These parameter changes provide quantitative data for subsequent quality assessment.

[0036] After receiving the dynamic performance parameter set, the quality assessment module performs a comprehensive analysis. The parameter weighting unit assigns weight coefficients to the temperature, pressure, and flow rate curves based on their importance, generating a weighted performance parameter set. For example, the temperature curve is assigned a weight coefficient of 0.4, the pressure curve 0.3, and the flow rate curve 0.3. The assessment calculation unit calculates the compounding effect evaluation value based on the weighted performance parameter set and a preset quality assessment function. Assuming a certain compounding ratio has a standardized temperature value of 0.8, a standardized pressure value of 0.7, and a standardized flow rate value of 0.9, its compounding effect evaluation value Q can be calculated using the formula Q = 0.4 × 0.8 + 0.3 × 0.7 + 0.3 × 0.9, resulting in 0.8. The quality assessment module then transmits the compounding effect evaluation value to the optimization feedback unit for subsequent optimization.

[0037] After receiving the compounding effect evaluation values, the optimization feedback unit uses a built-in evaluation filtering unit to sort the evaluation values ​​of all compounding ratio schemes, obtaining a sorted set of evaluation values. The evaluation filtering unit selects the compounding ratio scheme with the highest compounding effect evaluation value as the candidate optimal scheme. For example, among multiple compounding ratio schemes, the scheme with the highest evaluation value is selected as the candidate optimal scheme. The ratio adjustment unit performs fine-tuning operations on the fatty acid ratio, vitamin ratio, and other trace component ratios in the candidate optimal scheme. For example, the fatty acid ratio is fine-tuned from 50% to 52%, the vitamin ratio from 30% to 28%, while the ratios of other trace components remain unchanged, ultimately generating the optimal compounding ratio scheme.

[0038] After receiving the optimal blending ratio, the compounding control unit precisely controls the proportions of fatty acids, vitamins, and other trace components in the ratio. The control unit is connected to a mixing device, which uniformly mixes the materials according to the optimal ratio, ultimately producing blended millet oil. The blended millet oil is then transported to a quality testing instrument for final quality inspection to ensure the finished product meets expected standards. For example, the quality testing instrument tests the antioxidant properties, stability, and sensory characteristics of the blended millet oil; the results show that all indicators meet or exceed expected standards.

[0039] Throughout the system's operation, the collaborative relationships between modules are crucial. For example, the raw material separation unit is connected to the component analyzer via pipelines, ensuring that the separated components can smoothly enter the analyzer for further processing; the mixing controller and the dynamic monitoring instrument exchange information via a data interface, guaranteeing real-time updates to the compounding ratio scheme; the temperature sensor, pressure sensor, and flow meter in the dynamic monitoring instrument are positioned at different locations within the equipment, working together to comprehensively monitor the compounding process; the quality assessment module and the optimization feedback unit are connected via data lines, ensuring that the compounding effect evaluation value can be quickly transmitted to the optimization stage; the optimization feedback unit and the compounding control unit transmit the optimal compounding ratio scheme via a data interface, thereby guiding the final compounding production. Furthermore, signal transmission between modules employs standardized protocols to ensure data accuracy and reliability.

[0040] Through the above steps, this system successfully achieved precise control and optimization of the millet oil compounding process. For example, in practical applications, the antioxidant performance of a certain batch of millet oil compounded products was improved by 15%, stability by 10%, and sensory characteristics were significantly improved. These improvements not only meet consumers' demands for health and quality but also bring significant economic benefits to enterprises. Therefore, this invention has broad application prospects in the food processing field, and is particularly suitable for the development and production of functional oil products.

Claims

1. A method for evaluating and optimizing the compounding effect of millet oil, characterized in that, The method includes: The pre-built millet oil compound processing system is started, which includes a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, and an optimization feedback unit. A sample set of millet oil was obtained, and the components of the millet oil sample set were analyzed using a raw material separation device and a component analyzer to obtain a basic component dataset. Based on the basic component dataset, a set of compound ratio schemes is generated using a mixing regulator; A dynamic monitoring instrument was used to perform real-time monitoring on each group of schemes in the compounding ratio scheme set to obtain a set of dynamic performance parameters; The quality assessment module is used to comprehensively analyze the dynamic performance parameter set to obtain the compounding effect evaluation value; Based on the evaluation value of the compounding effect, the optimal compounding ratio scheme is generated using the optimization feedback unit; The millet oil compounding production was completed according to the optimal compounding ratio scheme.

2. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 1, characterized in that, The method of using a raw material separation device and a component analyzer to perform component analysis on a millet oil sample set includes: The millet oil sample set was placed in the raw material separation device, and the separation operation was performed on the millet oil sample set to obtain the initial separated component set, which included fatty acid components, vitamin components and other trace components. The component content of each component in the initial separated component set was determined using a component analyzer to obtain the initial component content set. Based on the initial component content set, the initial separated component set is classified using preset component classification rules to obtain the basic component dataset, which includes the distribution of fatty acid content, vitamin content, and other trace component content.

3. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 2, characterized in that, The method involves generating a set of compounding ratio schemes based on a basic component dataset using a mixing regulator. include: The hybrid controller includes a proportional calculation unit and a scheme generation unit. The proportional calculation unit is used to perform proportional allocation operations on the fatty acid content distribution, vitamin content distribution and other trace component content distribution in the basic component dataset to obtain a preliminary proportional allocation set. Based on the preliminary ratio allocation set, a set of compound ratio schemes is generated using the scheme generation unit. The set of compound ratio schemes includes multiple sets of compound ratio schemes, and each set of compound ratio schemes includes the ratio of fatty acids, the ratio of vitamins, and the ratio of other trace components.

4. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 3, characterized in that, The dynamic monitoring instrument is used to perform real-time monitoring of each group of schemes in the compounding ratio scheme set to obtain a set of dynamic performance parameters. include: The dynamic monitoring instrument includes a temperature sensor, a pressure sensor, and a flow meter. Extract the compounding ratio schemes sequentially from the set of compounding ratio schemes, and perform the following operations on the extracted compounding ratio schemes: A temperature sensor is used to monitor the operating temperature of the equipment during the compounding process in real time, and a temperature change curve is obtained. The working pressure of the equipment during the compounding process is monitored in real time using a pressure sensor to obtain a pressure change curve. The flow rate of materials during the compounding process is monitored in real time using a flow meter to obtain the flow rate change curve; By summarizing the temperature change curves, pressure change curves, and flow rate change curves, a set of dynamic performance parameters is obtained.

5. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 4, characterized in that, The quality assessment module is used to comprehensively analyze the dynamic performance parameter set to obtain the compounding effect evaluation value. include: The quality assessment module includes a parameter weighting unit and an assessment calculation unit. By using parameter weighting units, weighting coefficients are assigned to the temperature change curve, pressure change curve, and flow velocity change curve in the dynamic performance parameter set, respectively, to obtain a weighted performance parameter set. Based on a weighted performance parameter set, the evaluation unit calculates the compounding effect evaluation value using a preset quality evaluation function, which is shown below: Where Q is the evaluation value of the compound effect. Let be the weighting coefficient of the i-th dynamic performance parameter. Let be the standardized value of the i-th dynamic performance parameter, and n be the total number of dynamic performance parameters.

6. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 5, characterized in that, The optimal compounding ratio scheme is generated using an optimization feedback unit based on the compounding effect evaluation value. include: The optimization feedback unit includes an evaluation and screening unit and a ratio adjustment unit. The evaluation values ​​of the compound effect are sorted using the evaluation screening unit to obtain the sorted set of evaluation values; Based on the ranking set of evaluation values, the compounding ratio scheme with the largest evaluation value of compounding effect is selected as the candidate optimal scheme; The ratio adjustment unit is used to fine-tune the ratios of fatty acids, vitamins and other trace components in the candidate optimal solution to obtain the optimal compound ratio solution.

7. The method for evaluating and optimizing the compounding effect of millet oil as described in claim 6, characterized in that, The process of producing millet oil compounded according to the optimal compounding ratio includes: The optimal compound ratio scheme is input into the pre-constructed compound control unit, which then performs precise control operations on the proportions of fatty acids, vitamins, and other trace components in the compound ratio scheme. The compounded materials were uniformly mixed using a pre-constructed mixing device to obtain compounded millet oil; The compound millet oil was subjected to final quality testing using a pre-built quality testing instrument to obtain the finished compound millet oil product.

8. A system for evaluating and optimizing the compounding effect of millet oil, characterized in that, The system includes: The raw material composition analysis module is used to start the pre-built millet oil compound processing system. The millet oil compound processing system includes a raw material separation device, a component analyzer, a mixing controller, a dynamic monitoring instrument, a quality assessment module, and an optimization feedback unit. It acquires a millet oil sample set, and uses the raw material separation device and component analyzer to analyze the composition of the millet oil sample set to obtain a basic component dataset. The compound ratio generation module is used to generate a set of compound ratio schemes based on the basic component dataset and using a mixing regulator. The dynamic performance monitoring module is used to perform real-time monitoring on each group of schemes in the compounding ratio scheme set using a dynamic monitoring instrument to obtain a set of dynamic performance parameters; The compounding effect evaluation module is used to comprehensively analyze the dynamic performance parameter set using the quality evaluation module to obtain the compounding effect evaluation value; The optimization ratio generation module is used to generate the optimal compounding ratio scheme based on the compounding effect evaluation value and using the optimization feedback unit. The compounding production execution module is used to complete the compounding production of millet oil according to the optimal compounding ratio scheme.

9. An electronic device, characterized in that, The electronic device includes: Memory, storing at least one instruction; The processor executes instructions stored in the memory to implement the method for evaluating and optimizing the compounding effect of millet oil as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which is executed by a processor in an electronic device to implement the method for evaluating and optimizing the compounding effect of millet oil according to any one of claims 1 to 7.

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