Rice polishing precision control method, device and equipment and storage medium

Abstract

The invention discloses a rice polishing precision control method, device and equipment and a storage medium, and belongs to the technical field of rice processing. The method comprises the following steps: fitting a rice processing data prediction model through a multiple linear regression algorithm, inputting rice polishing precision into the rice processing data prediction model to obtain rice processing data, polishing rice to be polished according to the rice processing data, and adjusting working parameters of rice polishing equipment to obtain polished rice. Polishing processing data can be automatically adjusted according to the polishing precision, the conditions that rice is excessively polished and the polishing precision does not reach the standard are prevented, and energy waste is reduced.

Description

Technical Field

[0001] The present invention relates to the field of rice processing, and particularly to a method, device, equipment and storage medium for controlling the polishing precision of rice. Background Art

[0002] Polishing is one of the key steps in rice processing. To meet the requirements of domestic consumers for the appearance of rice, the rice produced in China generally needs to be polished. However, the polishing process in China generally cannot be quantified, and the precision of the polishing result is determined by experience or visual inspection, which has instability and disadvantages such as over-polishing and energy waste. It is impossible to quantitatively process the polishing process of rice to achieve the purpose of intelligent control of polishing precision. Summary of the Invention

[0003] The main purpose of the present invention is to provide a method, device, equipment and storage medium for controlling the polishing precision of rice, aiming to solve the technical problem of intelligent control of polishing precision.

[0004] To achieve the above purpose, the present invention provides a method for controlling the polishing precision of rice, the method comprising:

[0005] Fitting a prediction model for rice processing data;

[0006] Obtaining the polishing precision of rice;

[0007] Inputting the polishing precision of rice into the prediction model for rice processing data to obtain rice processing data;

[0008] Polishing the rice to be polished according to the rice processing data to obtain polished rice.

[0009] Optionally, the polishing the rice to be polished according to the rice processing data includes:

[0010] Obtaining the temperature and humidity of the rice to be polished;

[0011] If the temperature and humidity do not meet the preset conditions, adjusting the temperature and humidity of the rice to be polished according to the rice processing data;

[0012] Performing spray atomization treatment on the rice to be polished according to the rice processing data;

[0013] Polishing the rice to be polished after spray atomization treatment according to the rice processing data.

[0014] Optionally, after the polishing the rice to be polished according to the rice processing data to obtain polished rice, the method further includes:

[0015] Obtaining the detection result of the polishing precision of the polished rice;

[0016] If the polished precision detection result does not meet the preset conditions, adjust the rice processing data according to the rice processing data prediction model and the polished precision detection result;

[0017] Continue to polish the polished rice according to the adjusted rice processing data until the polished precision detection result of the polished rice meets the preset conditions.

[0018] Optionally, obtaining the polished precision detection result of the polished rice includes:

[0019] Obtain an image of the polished rice;

[0020] Obtain the RGB image of the image;

[0021] Perform image grayscale processing on the RGB image to obtain a processed image;

[0022] Filter the processed image according to the median filtering algorithm to obtain a filtered image;

[0023] Perform background segmentation on the filtered image according to the maximum between-class variance threshold segmentation method to obtain a segmented image;

[0024] Obtain the area of the rice scattering area according to the segmented image;

[0025] Obtain the polished precision detection result according to the area.

[0026] Optionally, obtaining the polished precision detection result of the polished rice includes:

[0027] Obtain the visual detection result of the polished rice;

[0028] Obtain the surface roughness value of the polished rice according to the visual detection result;

[0029] Obtain the corresponding polished precision detection result according to the surface roughness value.

[0030] Optionally, polishing the rice to be polished according to the rice processing data to obtain polished rice includes:

[0031] Obtain the transfer function according to the proportional coefficient, integral time constant, differential time constant, and complex variable;

[0032] Obtain the temperature and humidity of the rice to be polished;

[0033] Compare the temperature and humidity with the predicted temperature and humidity of the rice processing data to obtain a temperature and humidity difference;

[0034] Adjust the proportional coefficient, integral coefficient, and differential coefficient of the transfer function according to the temperature and humidity difference to obtain an adjusted proportional coefficient, an adjusted integral coefficient, and an adjusted differential coefficient;

[0035] Obtain a control output signal according to the adjusted proportional coefficient, the adjusted integral coefficient, the adjusted differential coefficient, the difference, the integral of the historical difference, and the differential of the difference;

[0036] Adjust the preset rice processing data according to the control output signal to obtain the rice processing data;

[0037] Perform polishing treatment on the rice to be polished according to the rice processing data to obtain polished rice.

[0038] Optionally, the fitting of the rice processing data prediction model includes:

[0039] Obtain an approximate functional relationship;

[0040] Obtain the partial regression coefficients of the approximate functional relationship;

[0041] Obtain the actual processing data of the rice to be polished;

[0042] Input the actual processing data into the approximate functional relationship to obtain the predicted polishing accuracy;

[0043] Obtain the total sum of squares according to the rice polishing accuracy, the average value of the rice polishing accuracy, and the number of experiments;

[0044] Obtain the regression sum of squares according to the predicted polishing accuracy and the average value of the rice polishing accuracy;

[0045] Obtain the residual sum of squares according to the total sum of squares and the regression sum of squares;

[0046] Obtain the regression mean square according to the regression sum of squares and the number of independent variables of the approximate functional relationship;

[0047] Obtain the mean square error according to the residual sum of squares, the number of experiments, and the number of independent variables;

[0048] Obtain the variance ratio according to the regression mean square and the mean square error;

[0049] If the significance level test of the variance ratio does not meet the preset conditions, adjust the partial regression coefficients until the significance level test of the variance ratio meets the preset conditions to obtain the target partial regression coefficients;

[0050] According to the approximate function relation and the target partial regression coefficient, the prediction model of rice processing data is fitted out.

[0051] In addition, to achieve the above object, the present invention also provides a rice polishing precision control device, which comprises:

[0052] A fitting module, configured to fit out a prediction model of rice processing data;

[0053] An obtaining module, configured to obtain the rice polishing precision;

[0054] A calculating data module, configured to input the rice polishing precision into the prediction model of rice processing data to obtain rice processing data;

[0055] A processing module, configured to polish the rice to be polished according to the rice processing data to obtain polished rice.

[0056] In addition, to achieve the above object, the present invention also provides a rice polishing precision control device, which comprises: a memory, a processor, and a rice polishing precision control program stored on the memory and executable on the processor, where the rice polishing precision control program is configured to implement the steps of the rice polishing precision control method as described above.

[0057] In addition, to achieve the above object, the present invention also provides a storage medium, on which a rice polishing precision control program is stored, and when the rice polishing precision control program is executed by a processor, the steps of the rice polishing precision control method as described above are implemented.

[0058] A rice polishing precision control method, device, equipment, and storage medium provided by the present invention, the method comprising: fitting out a prediction model of rice processing data through a multiple linear regression algorithm, inputting the rice polishing precision into the prediction model of rice processing data to obtain rice processing data, and polishing the rice to be polished according to the rice processing data to obtain polished rice. Compared with the prior art, the present invention obtains rice processing data through the prediction model of rice processing data, controls and adjusts the polishing parameters according to the rice processing data, improves the intelligence of rice polishing, and solves the problems of non - quantization and unstable polishing precision in the polishing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a schematic structural diagram of a rice polishing precision control device in a hardware operating environment related to the embodiment solution of the present invention;

[0060] Figure 2 is a schematic flowchart of the first embodiment of the rice polishing precision control method of the present invention;

[0061] Figure 3Schematic flow chart of the second embodiment of the rice polishing precision control method of the present invention;

[0062] Figure 4 Schematic flow chart of the third embodiment of the rice polishing precision control method of the present invention;

[0063] Figure 5 Block diagram of the structure of the rice polishing precision control device of the present invention.

[0064] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0065] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0066] Refer to Figure 1 , Figure 1 Schematic diagram of the structure of the rice polishing precision control device in the hardware operating environment involved in the embodiment solution of the present invention.

[0067] As Figure 1 shown, the rice polishing precision control device includes: a central processing unit (CPU) 1001, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0068] Those skilled in the art can understand that Figure 1 the structure shown in

[0069] does not constitute a limitation on the rice polishing precision control device, and may include more or fewer components than shown, or combine some components, or different component arrangements. Figure 1As shown in the figure, the memory 1005 as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module, and a rice polishing precision control program.

[0070] In Figure 1 In the rice polishing precision control device shown in the figure, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with users; the processor 1001 and the memory 1005 in the rice polishing precision control device of the present invention may be provided in the rice polishing precision control device. The rice polishing precision control device calls the rice polishing precision control program stored in the memory 1005 through the processor 1001 and executes the rice polishing precision control method provided by the embodiments of the present invention.

[0071] The embodiments of the present invention provide a rice polishing precision control method. Referring to Figure 2 , Figure 2 It is a schematic flowchart of the first embodiment of a rice polishing precision control method of the present invention.

[0072] In this embodiment, the rice polishing precision control method includes the following steps:

[0073] Step S10: Fit a prediction model for rice processing data;

[0074] It should be noted that the execution subject of the method in this embodiment may be an industrial computer, a server, and a cloud computing platform, and may also be other devices with the same or similar functions. This embodiment does not make specific limitations. In this embodiment and the following embodiments, the industrial computer will be used as an example for illustration.

[0075] In a specific implementation, using the multiple linear regression algorithm, taking the rice polishing precision as the test index y (dependent variable), and the polishing time, humidity, temperature, and pressure in the polishing chamber as experimental factors (independent variables) x i (i = 1, 2, 3, 4), fit a prediction model for rice processing data.

[0076] Step S20: Obtain the rice polishing precision;

[0077] It should be noted that the rice polishing precision is the expected rice polishing precision value input into the prediction model.

[0078] In a specific implementation, obtain the expected rice polishing precision value input into the computer.

[0079] Step S30: Input the rice polishing precision into the rice processing data prediction model to obtain rice processing data;

[0080] It should be noted that the rice processing data includes the polishing time, humidity, temperature, and pressure in the polishing chamber.

[0081] In a specific implementation, when different processing data are set, the final obtained rice polishing precision is different. The rice processing data prediction model includes the corresponding relationship between the rice polishing precision and the processing data. Based on the rice processing data prediction model, the processing data required for any desired rice polishing precision can be obtained.

[0082] Step S40: Perform polishing treatment on the rice to be polished according to the rice processing data to obtain polished rice.

[0083] It should be noted that the polishing treatment adopts PID control, and by adjusting the transfer function parameters K P 、K i 、K d , the overshoot of the control system is less than zero to prevent over-polishing. The transfer function of the closed-loop control system is:

[0084]

[0085] where K P is the proportionality coefficient, T i is the integral time constant, T d is the differential time constant; K i =K p / T i , is the integral coefficient; K d =K p *T d , is the differential coefficient.

[0086] In a specific implementation, the rice input into the polishing machine is polished according to the polishing time, humidity, temperature, and pressure in the polishing chamber corresponding to the desired rice polishing precision value to obtain polished rice.

[0087] In this embodiment, through the multiple linear regression algorithm, a rice processing data prediction model is fitted. The rice polishing precision is input into the rice processing data prediction model to obtain the rice processing data. The rice to be polished is polished according to the rice processing data to obtain polished rice. This solves the problem in the prior art that the processing parameters cannot be adjusted according to the polishing precision during the rice polishing process to ensure that the polishing precision meets the target requirements. The whole operation process is intelligent and efficient, greatly improving the use experience of relevant personnel for the product, and at the same time reducing the waste of resources caused by over-polishing.

[0088] Refer to Figure 3 , Figure 3 which is the schematic flowchart of the second embodiment of the rice polishing precision control method of the present invention.

[0089] Based on the above first embodiment, in this embodiment, polishing the rice to be polished according to the rice processing data includes:

[0090] Step S401: Obtain the temperature and humidity of the rice to be polished;

[0091] In a specific implementation, a wireless temperature and humidity sensor set in the polishing chamber is used to collect the temperature and humidity conditions of the polishing chamber and upload them to the computer processing system.

[0092] Step S402: If the temperature and humidity do not meet the preset conditions, adjust the temperature and humidity of the rice to be polished according to the rice processing data;

[0093] It should be noted that the preset conditions are that the humidity is between 10% and 14%, and the temperature is between 15°C and 20°C.

[0094] In a specific implementation, a constant temperature and humidity ring is set. If the collected temperature and humidity do not meet the preset conditions, a closed-loop feedback control is performed on the humidity and temperature of the polishing chamber by using the water spraying and air spraying systems of the hollow shaft of the polishing roller. When the humidity is less than 10%, humidification treatment is performed on the rice to be polished. When the humidity is greater than 14%, drying treatment is performed on the rice to be polished. When the temperature is less than 15°C, air spraying and heating treatment is performed on the rice to be polished. When the temperature is greater than 20°C, air spraying and cooling treatment is performed on the rice to be polished.

[0095] Step S403: Perform water spraying and atomization treatment on the rice to be polished according to the rice processing data;

[0096] It should be noted that for the water spraying and atomization treatment of the rice to be polished, the water spraying amount of the water spraying and atomization is calculated according to the volume of the rice entering the processing chamber. In this embodiment and the following embodiments, an example with a water spraying amount of 0.4% - 0.6% will be used for illustration.

[0097] In a specific implementation, the rice input flow is controlled according to the predicted pressure in the polishing chamber output by the model, the water spraying amount is calculated according to the volume of the rice entering the processing chamber, and the water spraying amount is controlled between 0.4% and 0.6% of the volume of the rice being processed in the polishing chamber. The rice to be polished is subjected to water spraying and atomization treatment according to this water spraying amount.

[0098] Step S404: Polish the rice to be polished after the water spraying and atomization treatment according to the rice processing data.

[0099] In a specific implementation, the rice to be polished after the water spraying and atomization treatment is polished according to the polishing time, humidity, temperature, and pressure in the polishing chamber corresponding to the expected rice polishing accuracy value output by the rice processing data prediction model.

[0100] Based on the rice processing data output by the rice processing data prediction model, the polishing processing parameters are adjusted to polish the rice to be polished, realizing the adjustment of the polishing processing parameters according to the set polishing accuracy.

[0101] Reference Figure 4 , Figure 4 is a schematic flowchart of the third embodiment of the rice polishing accuracy control method of the present invention.

[0102] Based on the above first embodiment, in this embodiment, the step S10 includes:

[0103] S101: Obtain an approximate function relation;

[0104] It should be noted that the approximate function relation is as follows. The test index y (dependent variable) is the rice polishing accuracy, and the experimental factors (independent variables) x i (i = 1, 2, 3, 4) are the polishing time, humidity, temperature, and pressure in the polishing chamber, where is the calculated value of the corresponding independent variable x i substituted into the multiple linear regression equation, that is, the approximate function relation, and is called the regression value, and a, b i are partial regression coefficients.

[0105]

[0106] In specific implementation, obtain this approximate function relation.

[0107] S102: Obtain the partial regression coefficients of the approximate function relation;

[0108] It should be noted that through multiple experiments, the values of the partial regression coefficients a, b i are fitted.

[0109] In specific implementation, the partial regression coefficients of this approximate function relation are fitted.

[0110] S103: Obtain the actual processing data of the rice to be polished;

[0111] It should be noted that the actual processing data are the current polishing processing parameters of the rice, including the polishing time, humidity, temperature, and pressure in the polishing chamber.

[0112] S104: Input the actual processing data into the approximate function relation to obtain the predicted polishing accuracy;

[0113] In specific implementation, input the polishing time, humidity, temperature, and pressure of the rice as parameters into the approximate function relation to obtain the predicted polishing accuracy.

[0114] S105: Obtain the total sum of squares according to the rice polishing precision, the average value of the rice polishing precision, and the number of experiments;

[0115] It should be noted that the formula for the total sum of squares is:

[0116]

[0117] In a specific implementation, the total sum of squares is obtained using this formula.

[0118] S106: Obtain the regression sum of squares according to the predicted polishing precision and the average value of the rice polishing precision;

[0119] It should be noted that the formula for the regression sum of squares is:

[0120]

[0121]

[0122]

[0123]

[0124]

[0125] S107: Obtain the residual sum of squares according to the total sum of squares and the regression sum of squares;

[0126] It should be noted that the formula for the residual sum of squares is:

[0127] SS e = SS T - SS R

[0128] S108: Obtain the mean square regression according to the regression sum of squares and the number of independent variables in the approximate function relationship;

[0129] It should be noted that the formula for the mean square regression is as follows, where m is the number of independent variables.

[0130] MS R = SS R / m

[0131] S109: Obtain the mean square error according to the residual sum of squares, the number of experiments, and the number of independent variables;

[0132] It should be noted that the formula for the mean square error is as follows, where m is the number of independent variables and n is the number of experiments.

[0133] MS e = SS e / (n - m - 1)

[0134] S1010: Obtain a variance ratio based on the mean square regression and the mean square error;

[0135] It should be noted that the formula for the variance ratio is as follows:

[0136] F = MS R ÷MS e

[0137] S1011: If the significance level test of the variance ratio does not meet the preset conditions, adjust the partial regression coefficient until the significance level test of the variance ratio meets the preset conditions, and obtain the target partial regression coefficient;

[0138] It should be noted that the preset conditions are taking the number of experiments n as 125, and the variance ratio is greater than the variance ratio at a significance level of 0.01.

[0139] S1012: Fit the rice processing data prediction model according to the approximate function relationship and the target partial regression coefficient.

[0140] In a specific implementation, substitute the target partial regression coefficient into the approximate function relationship to obtain the rice processing data prediction model.

[0141] In this embodiment, the rice processing data prediction model is determined through the approximate function relationship and the adjusted optimal partial regression coefficient, realizing the training of the rice processing data prediction model, which is beneficial to optimizing the rice polishing process and providing strong support for rice polishing quality control.

[0142] Reference Figure 5 , Figure 5 is the structural block diagram of the rice polishing precision control device of the present invention.

[0143] As Figure 5 shown, the rice polishing precision control device proposed in the embodiment of the present invention includes:

[0144] A fitting module 501, configured to fit the rice processing data prediction model;

[0145] An acquisition module 502, configured to acquire the rice polishing precision;

[0146] A calculation data module 503, configured to input the rice polishing precision into the rice processing data prediction model to obtain rice processing data;

[0147] A processing module 504, configured to polish the rice to be polished according to the rice processing data to obtain polished rice.

[0148] In this embodiment, a prediction model for rice processing data is fitted; the rice polishing accuracy is obtained; the rice polishing accuracy is input into the rice processing data prediction model to obtain rice processing data; and the rice to be polished is polished according to the rice processing data to obtain polished rice. It realizes the automatic control of the polishing processing data according to the polishing accuracy, preventing over-polishing of rice and non-compliance with the polishing accuracy standard.

[0149] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including that element.

[0150] The serial numbers of the above-described embodiments of the present invention are only for description and do not represent the superiority or inferiority of the embodiments.

[0151] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes several instructions for causing a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0152] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structural or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied to other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for controlling the polishing precision of rice, characterized in that, The rice polishing precision control method includes the following steps: Fit a prediction model for rice processing data; Obtain the rice polishing precision; Input the rice polishing precision into the rice processing data prediction model to obtain rice processing data; Polish the rice to be polished according to the rice processing data to obtain polished rice.

2. The rice polishing precision control method according to claim 1, characterized in that The step of polishing the rice to be polished according to the rice processing data includes: Obtain the temperature and humidity of the rice to be polished; If the temperature and humidity do not meet the preset conditions, adjust the temperature and humidity of the rice to be polished according to the rice processing data; Perform a water spray atomization treatment on the rice to be polished according to the rice processing data; Polish the rice to be polished after the water spray atomization treatment according to the rice processing data.

3. The rice polishing precision control method according to claim 1, characterized in that, After polishing the rice to be polished according to the rice processing data to obtain polished rice, it further includes: Obtain the polishing precision detection result of the polished rice; If the polishing precision detection result does not meet the preset conditions, adjust the rice processing data according to the rice processing data prediction model and the polishing precision detection result; Continue to polish the polished rice according to the adjusted rice processing data until the polishing precision detection result of the polished rice meets the preset conditions.

4. The rice polishing precision control method according to claim 3, wherein The step of obtaining the polishing precision detection result of the polished rice includes: Obtain the image of the polished rice; Obtain the RGB image of the image; Perform image grayscale processing on the RGB image to obtain a processed image; Filter the processed image according to the median filtering algorithm to obtain a filtered image; Perform background segmentation on the filtered image according to the maximum inter-class variance threshold segmentation method to obtain a segmented image; Obtain the area of the rice scattering region according to the segmented image; Obtain the polishing precision detection result according to the area.

5. The rice polishing precision control method according to claim 3, wherein, The step of obtaining the polishing precision detection result of the polished rice includes: Obtain the visual detection result of the polished rice; Obtain the surface roughness value of the polished rice according to the visual detection result; Obtain the corresponding polishing precision detection result according to the surface roughness value.

6. The rice polishing precision control method according to claim 1, wherein The step of polishing the rice to be polished according to the rice processing data to obtain polished rice includes: Obtain a transfer function according to the proportional coefficient, integral time constant, differential time constant, and complex variable; Obtain the temperature and humidity of the rice to be polished; Compare the temperature and humidity with the predicted temperature and humidity of the rice processing data to obtain a temperature and humidity difference; Adjust the proportional coefficient, integral coefficient, and differential coefficient of the transfer function according to the temperature and humidity difference to obtain an adjusted proportional coefficient, an adjusted integral coefficient, and an adjusted differential coefficient; Obtain a control output signal according to the adjusted proportional coefficient, the adjusted integral coefficient, the adjusted differential coefficient, the difference, the integral of the historical difference, and the differential of the difference; Adjust the preset rice processing data according to the control output signal to obtain the rice processing data; Perform polishing treatment on the rice to be polished according to the rice processing data to obtain polished rice.

7. The rice polishing precision control method according to claim 1, characterized in that The fitting of the rice processing data prediction model includes: Obtain an approximate functional relationship; Obtain the partial regression coefficients of the approximate functional relationship; Obtain the actual processing data of the rice to be polished; Input the actual processing data into the approximate functional relationship to obtain the predicted polishing accuracy; According to the rice polishing accuracy, the average value of the rice polishing accuracy, and the number of experiments, obtain the total sum of squares; According to the predicted polishing accuracy and the average value of the rice polishing accuracy, obtain the regression sum of squares; According to the total sum of squares and the regression sum of squares, obtain the residual sum of squares; According to the regression sum of squares and the number of independent variables of the approximate functional relationship, obtain the mean square regression; According to the residual sum of squares, the number of experiments, and the number of independent variables, obtain the mean square error; According to the mean square regression and the mean square error, obtain the variance ratio; If the significance level test of the variance ratio does not meet the preset conditions, adjust the partial regression coefficients until the significance level test of the variance ratio meets the preset conditions to obtain the target partial regression coefficients; According to the approximate functional relationship and the target partial regression coefficients, fit the rice processing data prediction model.

8. A rice polishing precision control device, characterized in that, The device includes: A fitting module for fitting a rice processing data prediction model; An acquisition module for acquiring the rice polishing accuracy; A calculation data module for inputting the rice polishing accuracy into the rice processing data prediction model to obtain rice processing data; A processing module for performing polishing treatment on the rice to be polished according to the rice processing data to obtain polished rice.

9. A rice polishing precision control device, characterized in that, The device includes: a memory, a processor, and a rice polishing accuracy control program stored on the memory and executable on the processor. The rice polishing accuracy control program is configured to implement the steps of the rice polishing accuracy control method according to any one of claims 1 to 7.

10. A storage medium, characterized in that, A rice polishing accuracy control program is stored on the storage medium. When the rice polishing accuracy control program is executed by the processor, it implements the steps of the rice polishing accuracy control method according to any one of claims 1 to 7.

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