CN112395753B - Drying method, device, equipment and storage medium for directionally regulating and controlling quality of rice - Google Patents
Drying method, device, equipment and storage medium for directionally regulating and controlling quality of rice Download PDFInfo
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- 229940100486 rice starch Drugs 0.000 claims description 6
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- 238000000540 analysis of variance Methods 0.000 claims 1
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- 235000013339 cereals Nutrition 0.000 description 10
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Abstract
The embodiment of the invention discloses a drying method, a drying device, drying equipment and a storage medium for directionally regulating and controlling the quality of paddy. Wherein, the method comprises the following steps: respectively establishing a regression model of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio; selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of a preset type dryer; predicting the quality of the rice based on the application regression model by taking a plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items; and determining a drying parameter guidance suggestion according to the rice quality, wherein the drying parameter guidance suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying. According to the technical scheme of the embodiment of the invention, various quality indexes of the rice in the drying process can be tracked, and the accurate regulation and control of the rice quality can be realized.
Description
Technical Field
The embodiment of the invention relates to a grain drying technology, in particular to a drying method, a drying device, drying equipment and a storage medium for directionally regulating and controlling the quality of rice.
Background
Nowadays, the quality of grains is receiving more and more attention, and grain drying as a key period of quality control becomes a key point of research.
In the existing research of the rice drying process, the adjustment of the drying parameters is not only used for controlling the water content after drying, but also only used for considering the influence on the quality of one rice, for example, only used for considering the increment of the waist bursting rate, and the adjustment of one drying parameter probably causes the change of a plurality of quality indexes, so that the quality control of the grains in the drying process is challenging work. The rice quality regulation and control mode in the prior art is relatively extensive, usually only the temperature of a drying medium or the rotating speed of a grain discharging wheel is regulated, the items, directions, amplitudes and ranges of the drying parameters cannot be directionally regulated, and the regulation and control of the rice quality is not accurate enough.
Disclosure of Invention
The embodiment of the invention provides a drying method, a drying device, drying equipment and a storage medium for directionally regulating and controlling the quality of paddy, so as to realize accurate regulation and control of the quality of paddy.
In a first aspect, an embodiment of the present invention provides a drying method for directionally regulating and controlling rice quality, including:
respectively establishing a regression model of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio;
selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of a preset type dryer;
predicting the quality of the rice based on the application regression model by taking a plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items;
and determining a drying parameter guidance suggestion according to the rice quality, wherein the drying parameter guidance suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying.
In a second aspect, an embodiment of the present invention further provides a drying device for directionally regulating and controlling rice quality, including:
the regression model establishing module is used for respectively establishing regression models of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio;
the regression model selection module is used for selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of a preset type dryer;
the rice quality prediction module is used for predicting the rice quality by taking a plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items based on the application regression model;
and the guide suggestion determination module is used for determining a drying parameter guide suggestion according to the rice quality, wherein the drying parameter guide suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying process.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a drying method for directionally regulating the quality of rice as provided by any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to perform a drying method for directionally regulating the quality of rice as provided in any of the embodiments of the present invention.
According to the embodiment of the invention, the rice quality is predicted by establishing the regression model of the influence of the preset drying parameters on the preset quality indexes, the rice quality in rice drying is directionally regulated and controlled, the problem that the regulation and control of the rice quality are not accurate enough is solved, and the effect of accurately regulating and controlling the rice quality is realized.
Drawings
FIG. 1 is a flow chart of a drying method for directionally controlling the quality of rice according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a drying method for directionally controlling the quality of rice according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a drying method for directionally controlling the quality of rice according to a third embodiment of the present invention;
FIG. 4 is a flow chart of a drying method for directionally controlling the quality of rice according to a fourth embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a drying apparatus for directionally controlling the quality of rice according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of a computer device in the sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a drying method for directionally regulating and controlling rice quality according to an embodiment of the present invention, where the present embodiment is applicable to a situation of regulating and controlling rice quality during a rice drying process, and the method may be implemented by a drying device for directionally regulating and controlling rice quality, where the device may be implemented by hardware and/or software, and the method specifically includes the following steps:
wherein the preset drying parameter may include a tempering ratio; there is not tempering with tempering and has tempering two kinds of drying process that are completely different, and the paddy drying that has tempering in this application carries out the paddy quality regulation and control. The preset drying parameters are drying process parameters in the rice drying process, and optionally, the preset drying parameters further include: the drying medium temperature, the drying medium relative humidity, the drying medium flow velocity and the initial water content of the rice can be researched, and besides the drying parameters, the influence of other drying parameters on the rice quality can be researched. The predetermined quality index may include: increasing the explosion rate, protein content, unsaturated fatty acid content, fatty acid value and resistant starch content after drying the rice. Drying tests are carried out on the rice sample, the influence condition of each preset drying parameter on each preset quality index of the rice is inspected, and the tempering ratio can comprise: 1: 1. 1: 2 and 1: 3, respectively establishing a tempering ratio of 1: 1. 1: 2 and 1: 3, the abscissa of the quenching and tempering process diagram is the temperature of the rice grains, wherein the temperature of the drying medium is approximately equal to the temperature of the grain grains in the test, the ordinate of the quenching and tempering process diagram is the initial moisture content of the rice, and 3 relative humidity gradients can be distinguished by curves with different colors or different thicknesses. After the test is finished, the variance analysis is carried out on the test data, and a regression model of the influence of each preset drying parameter on the preset quality index can be established.
the preset drying stage refers to a plurality of different working stages of different types of dryers in the rice drying process or the same working stage of cyclic execution, and each working stage can have the same or different tempering ratios. When the regression model is selected for a certain preset type of dryer, the relaxation ratio of the dryer in each working stage needs to be considered to select the corresponding regression model, so that the preset quality index after the working stage can be accurately predicted to represent the rice quality.
the preset drying parameters in the working process of the dryer can be acquired through corresponding sensors, and then the preset drying parameters are input into the regression model selected before, so that corresponding output results are obtained, and the output results consist of preset quality indexes, so that the quality of the rice is predicted.
And 140, determining a drying parameter guidance suggestion according to the rice quality, wherein the drying parameter guidance suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying.
After the rice quality is obtained, the rice quality can be compared with the rice quality expected in advance, and according to the relation that each preset drying parameter influences each preset quality index, a drying parameter guidance suggestion of the drying machine in the later working stage can be formulated, and the drying parameter of the drying machine is controlled, so that the oriented regulation and control of the rice quality are realized.
The technical scheme of this embodiment through establishing a plurality of regression models of presetting the dry parameter and to a plurality of quality index influences of presetting, predicts the corn quality, and the problem of the regulation and control of corn quality accurate inadequately is solved to the corn quality in the directional regulation and control corn drying, realizes the effect to the accurate regulation and control of corn quality.
Example two
Fig. 2 is a flowchart of a drying method for directionally regulating and controlling rice quality according to a second embodiment of the present invention, in the technical scheme of this embodiment, the step 110 of further refining the regression model based on the above technical scheme, and the step of respectively establishing regression models in which a plurality of preset drying parameters affect a plurality of preset quality indexes may specifically include:
220, performing a rice starch glass transition characteristic test on the rice sample to obtain the glass transition temperature of the rice sample;
in the test scheme, 5 factors are set as the preset drying parameters; 5, the level is determined according to the test result of the glass transition characteristic of the rice starch; setting the test investigation quality index as the preset quality index; the orthogonal test result of 5 factors and 5 levels is selected, and the method has the advantages of minimum test times, highest precision, maximum investigation range and the like.
And 240, after the test is finished, carrying out variance analysis on the test data, and establishing the regression model of the influence of each preset drying parameter on the preset quality index.
Optionally, after performing variance analysis on the test data and establishing the regression model of the influence of each preset drying parameter on the preset quality index, the method further includes:
selecting the range and the step length of the preset drying parameters; wherein the temperature range of the drying medium is 27-50 ℃, and the calculation step length is 0.5 ℃; the relative humidity range of the drying medium is 45% -65%, and the calculation step length is 10%; the flow velocity range of the drying medium is 0.4m/s-1.0m/s, and the calculation step length is 0.2 m/s; the initial water content range of the paddy is 17% -25%, and the calculation step length is 0.5%;
establishing a regression equation of each preset quality index and solving the regression equation;
and drawing a rice quality curve graph according to the regression equation solving result.
In one implementation manner, after the step of predicting the quality of rice based on the application regression model by using the plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items, the method further includes:
and generating a process chart for regulating and controlling the quality of the rice according to the quality of the rice and the rice quality curve chart, and displaying real-time rice quality index sites.
The method comprises the steps of establishing a 'tempering process diagram' tab in a control system of a dryer, displaying a real-time rice quality index site in a tracking manner under the tab page, providing drying process parameter guidance opinion data, and feeding back the data to the system to realize the real-time directional regulation and control of the rice drying quality.
EXAMPLE III
Fig. 3 is a flowchart of a drying method for directionally regulating and controlling rice quality according to a third embodiment of the present invention, in which the technical scheme of the present embodiment is further refined based on the above technical scheme, and for dryers of different models, corresponding regression models are selected to predict rice quality, and the method specifically includes:
310, respectively establishing a regression model of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes;
in general, a continuous dryer has 2 to 3 drying sections, and the drying parameters of each drying section are different, so that the continuous dryer is regulated in sections. The tempering section is a drying section of the continuous dryer, and the current tempering ratio is determined according to the current tempering section of the continuous dryer.
And 330, selecting a corresponding regression model as the application regression model according to the tempering ratio corresponding to each tempering section of the continuous dryer.
Wherein, the corresponding regression model can be selected according to the current slow-tempering ratio.
and 350, applying an integral method to all the segmented rice qualities to obtain the rice quality of the rice harvester.
The established regression model is embedded into the system, the input items (preset drying parameters) are acquired by a sensor group in the drying system, and the calculated output items (preset quality indexes) are fed back to the system. And (4) solving the quality of the dried rice in each drying section in a segmentation manner by using a regression model, and obtaining the quality of the rice by using an integral method.
And step 360, determining a drying parameter guidance suggestion according to the rice quality.
A 'tempering process diagram' tab is created in an intelligent control system of a dryer, a real-time rice quality index site can be tracked and displayed under a tab page, and drying process parameter guidance suggestion data is provided and fed back to the system to realize the real-time directional regulation and control of the rice drying quality.
Example four
Fig. 4 is a flowchart of a drying method for directionally regulating and controlling rice quality according to a fourth embodiment of the present invention, in which the technical scheme of the present embodiment is further refined based on the above technical scheme, and for dryers of different models, corresponding regression models are selected to predict rice quality, and the method specifically includes:
the circulating type drying machine is a common machine type used for drying rice, and the circulation frequency of grains (rice) in the drying machine depends on the real-time moisture content of the rice. The circulating drier determines the proportion of a grain storage section and a drying section of the circulating drier, namely the corresponding tempering ratio.
And 430, selecting a corresponding regression model as the application regression model according to the tempering ratio of the circulating dryer.
And selecting a corresponding regression model according to a preset tempering ratio of the circulating dryer type.
And 440, inputting the preset drying parameters into the application regression model, and calculating to obtain the circulating rice quality of each circulation.
Wherein, the circulation times of the paddy in the dryer depends on the real-time moisture content of the paddy. Therefore, batch regulation will be performed. And embedding the established regression model into a system, acquiring an input item (preset drying parameter) by a sensor group in the drying system, and feeding back a calculated output item (preset quality index) to the system. And (5) solving the dried quality of each circulation batch by applying a regression model, and tracking the real-time drying quality of the rice.
And step 450, determining a drying parameter guidance suggestion according to the rice quality.
A 'tempering process diagram' tab is created in an intelligent control system of a dryer, a real-time rice quality index site can be tracked and displayed under a tab page, and drying process parameter guidance suggestion data is provided and fed back to the system to realize the real-time directional regulation and control of the rice drying quality.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a drying device for directionally regulating and controlling rice quality according to a fifth embodiment of the present invention, where the drying device for directionally regulating and controlling rice quality may be integrated in a dryer or a computer device for controlling the dryer, and specifically includes:
a regression model establishing module 510, configured to respectively establish a regression model of an influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio;
the regression model selection module 520 is used for selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of the preset type dryer;
a rice quality prediction module 530, configured to use the plurality of preset drying parameters of the preset drying stage obtained by the preset type dryer as input items, and predict rice quality based on the application regression model;
and a guidance suggestion determining module 540, configured to determine a drying parameter guidance suggestion according to the rice quality, where the drying parameter guidance suggestion is used to indicate directional control of the rice quality in rice drying.
The technical scheme of this embodiment through establishing a plurality of regression models of presetting the dry parameter and to a plurality of quality index influences of presetting, predicts the corn quality, and the problem of the regulation and control of corn quality accurate inadequately is solved to the corn quality in the directional regulation and control corn drying, realizes the effect to the accurate regulation and control of corn quality.
Optionally, the preset drying parameters further include: drying medium temperature, drying medium relative humidity, drying medium flow rate and initial rice water content; the slow tempering ratio comprises: 1: 1. 1: 2 and 1: 3; the preset quality index comprises: increasing the explosion rate, protein content, unsaturated fatty acid content, fatty acid value and resistant starch content after drying the rice.
Optionally, the regression model establishing module is specifically configured to:
selecting a rice sample according to test requirements;
performing a rice starch glass transition characteristic test on the rice sample to obtain the glass transition temperature of the rice sample;
establishing a 5-factor 5 horizontal orthogonal rotation combined test scheme; in the test scheme, 5 factors are set as the preset drying parameters; 5, the level is determined according to the test result of the glass transition characteristic of the rice starch; setting the test investigation quality index as the preset quality index;
and after the test is finished, carrying out variance analysis on the test data, and establishing the regression model of the influence of each preset drying parameter on the preset quality index.
Optionally, the regression model selection module is specifically configured to:
if the preset type dryer is a continuous dryer, determining the number of tempering sections of the continuous dryer and a corresponding tempering ratio;
and selecting a corresponding regression model as the application regression model according to the tempering ratio corresponding to each tempering section of the continuous dryer.
Optionally, the rice quality prediction module is specifically configured to:
inputting the preset drying parameters into the application regression model, and calculating to obtain the segmented rice quality of each tempering section;
and applying an integral method to the quality of all the segmented rice to obtain the quality of the rice.
Optionally, the regression model selection module is specifically configured to:
if the preset type dryer is a circulating dryer, determining the tempering ratio of each circulation of the circulating dryer;
and selecting a corresponding regression model as the application regression model according to the tempering ratio of the circulating dryer.
Optionally, the rice quality prediction module is specifically configured to:
and inputting the preset drying parameters into the application regression model, and calculating to obtain the circulating rice quality of each circulation.
Optionally, the drying device of directional regulation and control corn quality still includes:
the range and step length selection module is used for selecting the range and step length of the preset drying parameters after the test data is subjected to variance analysis and the regression model of the influence of each preset drying parameter on the preset quality index is established; wherein the temperature range of the drying medium is 27-50 ℃, and the calculation step length is 0.5 ℃; the relative humidity range of the drying medium is 45% -65%, and the calculation step length is 10%; the flow velocity range of the drying medium is 0.4m/s-1.0m/s, and the calculation step length is 0.2 m/s; the initial water content range of the paddy is 17% -25%, and the calculation step length is 0.5%;
the regression equation solving module is used for simultaneously establishing the regression equations of the preset quality indexes and solving the regression equations;
and the rice quality curve drawing module is used for drawing a rice quality curve according to the regression equation solving result.
Optionally, the drying device of directional regulation and control corn quality still includes:
and the real-time rice quality display module is used for generating a process diagram for regulating and controlling the rice quality according to the rice quality and the rice quality curve diagram after predicting the rice quality by taking the plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items and based on the application regression model, and is used for displaying real-time rice quality index sites.
The drying device for directionally regulating and controlling the quality of the rice provided by the embodiment of the invention can execute the drying method for directionally regulating and controlling the quality of the rice provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 6 is a schematic structural diagram of a computer apparatus according to a sixth embodiment of the present invention, as shown in fig. 6, the computer apparatus includes a processor 610, a memory 620, an input device 630, and an output device 640; the number of processors 610 in the computer device may be one or more, and one processor 610 is taken as an example in fig. 6; the processor 610, the memory 620, the input device 630 and the output device 640 in the computer apparatus may be connected by a bus or other means, and the connection by the bus is exemplified in fig. 6.
The memory 620 is used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the drying method for directionally regulating and controlling rice quality according to the embodiment of the present invention (for example, the regression model establishing module 510, the regression model selecting module 520, the rice quality predicting module 530, and the guidance suggestion determining module 540 in the drying device for directionally regulating and controlling rice quality). The processor 610 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 620, so as to implement the drying method for directionally regulating the quality of the rice.
The memory 620 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 620 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 620 may further include memory located remotely from the processor 610, which may be connected to a computer device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may be used to receive input numeric or character information and generate and display information with a computer device.
EXAMPLE seven
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a drying method for directionally regulating and controlling quality of rice, the method including:
respectively establishing a regression model of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio;
selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of a preset type dryer;
predicting the quality of the rice based on the application regression model by taking a plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items;
and determining a drying parameter guidance suggestion according to the rice quality, wherein the drying parameter guidance suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying.
Of course, the embodiment of the present invention provides a storage medium containing computer-executable instructions, where the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the drying method for directionally regulating and controlling rice quality provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the drying device for directionally regulating and controlling the quality of rice, the included units and modules are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (4)
1. A drying method for directionally regulating and controlling the quality of rice is characterized by comprising the following steps: respectively establishing a regression model of the influence of a plurality of preset drying parameters on a plurality of preset quality indexes; wherein the preset drying parameters comprise a tempering ratio; selecting a corresponding regression model as an application regression model according to a tempering ratio in a preset drying stage in the drying process of a preset type dryer; predicting the quality of the rice based on the application regression model by taking a plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items; determining a drying parameter guidance suggestion according to the rice quality, wherein the drying parameter guidance suggestion is used for indicating the directional regulation and control of the rice quality in the rice drying;
the preset drying parameters further include: drying medium temperature, drying medium relative humidity, drying medium flow rate and initial rice water content; the slow tempering ratio comprises: 1: 1. 1: 2 and 1: 3; the preset quality index comprises: increasing the explosion rate, protein content, unsaturated fatty acid content, fatty acid value and resistant starch content of the dried rice;
the establishing of the regression models of the influence of the preset drying parameters on the preset quality indexes comprises the following steps: selecting a rice sample according to test requirements; performing a rice starch glass transition characteristic test on the rice sample to obtain the glass transition temperature of the rice sample; establishing a 5-factor 5 horizontal orthogonal rotation combined test scheme; in the test scheme, 5 factors are set as the preset drying parameters; 5, the level is determined according to the test result of the glass transition characteristic of the rice starch; setting the test investigation quality index as the preset quality index; after the test is finished, carrying out variance analysis on the test data, and establishing the regression model of the influence of each preset drying parameter on the preset quality index;
the method for selecting the corresponding regression model as the application regression model according to the tempering ratio in the preset drying stage in the drying process of the preset type dryer comprises the following steps: if the preset type dryer is a continuous dryer, determining the number of tempering sections of the continuous dryer and a corresponding tempering ratio; selecting a corresponding regression model as the application regression model according to a tempering ratio corresponding to each tempering section of the continuous dryer; if the preset type dryer is a circulating dryer, determining the tempering ratio of each circulation of the circulating dryer; selecting a corresponding regression model as the application regression model according to the tempering ratio of the circulating dryer;
the step of predicting the quality of the rice based on the application regression model by using the plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items comprises the following steps: inputting the preset drying parameters into the application regression model, and calculating to obtain the segmented rice quality of each tempering section; applying an integral method to all the segmented rice qualities to obtain the machine-output rice quality;
the step of predicting the quality of the rice based on the application regression model by using the plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer as input items comprises the following steps: inputting the preset drying parameters into the application regression model, and calculating to obtain the circulating rice quality of each circulation;
after the analysis of variance is performed on the test data and the regression model of the influence of each preset drying parameter on the preset quality index is established, the method further comprises the following steps: selecting the range and the step length of the preset drying parameters; wherein the temperature range of the drying medium is 27-50 ℃, and the calculation step length is 0.5 ℃; the relative humidity range of the drying medium is 45% -65%, and the calculation step length is 10%; the flow velocity range of the drying medium is 0.4m/s-1.0m/s, and the calculation step length is 0.2 m/s; the initial water content range of the paddy is 17% -25%, and the calculation step length is 0.5%; establishing a regression equation of each preset quality index and solving the regression equation; and drawing a rice quality curve graph according to the regression equation solving result.
2. The method according to claim 1, wherein after the applying a regression model based on the input item of the plurality of preset drying parameters of the preset drying stage acquired by the preset type dryer to predict the rice quality, the method further comprises: and generating a process chart for regulating and controlling the quality of the rice according to the quality of the rice and the rice quality curve chart, and displaying real-time rice quality index sites.
3. A computer device, characterized in that the computer device comprises: one or more processors; a memory for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement the drying method for directionally regulating rice quality of claim 1 or 2.
4. A storage medium containing computer executable instructions for performing the drying method of directionally regulating rice quality of claim 1 or 2 when executed by a computer processor.
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