Intelligent grain drying method and device based on microwave heat pump

Abstract

The application provides a grain intelligent drying method and device based on a microwave heat pump, and belongs to the field of grain drying.The method comprises the following steps: obtaining the initial moisture content and bulk density of a drying material; determining the current material type of the drying material according to the corresponding relationship between different material types, different moisture contents and bulk densities, which is established in advance; selecting a target drying model corresponding to the current material type and the initial moisture content from a plurality of target drying models stored in advance; and drying the drying material according to the target drying model, wherein the target drying model comprises a target microwave power and a target hot air temperature matched with the current material type and the initial moisture content; and the target drying model is obtained by screening according to the broken rice rate and the whole milled rice rate from a plurality of candidate drying models with different microwave powers and different hot air temperatures.The method avoids the problems of long drying time and low efficiency in multiple drying, the drying process is controllable, and the best broken rice rate and whole milled rice rate are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of grain drying, in particular to a microwave heat pump-based intelligent grain drying method and device. BACKGROUND

[0002] Most of the tower-type grain drying devices on the market currently dry grains through single hot air drying, and the grains are continuously circulated until the safe moisture content is reached and the drying is stopped. Such drying method is not only high in energy consumption, long in time, low in efficiency, and non-targeted, but also difficult to control in the drying process, low in quality after drying, and the latent heat and waste heat in the tail gas are directly discharged into the atmosphere, causing energy waste and environmental pollution. SUMMARY

[0003] In view of the problems existing in the prior art, the present application provides a microwave heat pump-based intelligent grain drying method and device.

[0004] The present application provides a microwave heat pump-based intelligent grain drying method, comprising: obtaining the initial moisture content and bulk density of the material to be dried, and determining the current material type of the material to be dried according to the pre-established correspondence between different material types, different moisture contents and bulk densities; selecting a target drying model corresponding to the current material type and the initial moisture content from a plurality of target drying models pre-stored according to the current material type and the initial moisture content; drying the material to be dried according to the target drying model, wherein the target drying model includes a target microwave power and a target hot air temperature matched with the current material type and the initial moisture content; wherein the target drying model is obtained by screening the burst waist rate and the whole milled rice rate from a plurality of candidate drying models with different microwave powers and different hot air temperatures.

[0005] According to the microwave heat pump-based intelligent grain drying method provided by the present application, the target drying model further includes the drying time from the initial moisture content to the target moisture content, and correspondingly, before obtaining the moisture content and bulk density of the material to be dried, the method further comprises: for each type of drying material, determining a plurality of candidate drying models according to different microwave powers and different hot air temperatures under different initial moisture contents; under different initial moisture contents, drying each type of drying material based on the plurality of candidate drying models, and determining the drying time from the initial moisture content to the target moisture content in the drying process; taking the burst waist rate and the whole milled rice rate as the quality standard, determining the quality score of the plurality of candidate drying models; and determining the drying model with the highest quality score from the plurality of candidate drying models as the target drying model according to the quality score.

[0006] According to the application, a grain intelligent drying method based on a microwave heat pump is provided, wherein the quality scores of the candidate drying models are determined according to the broken waist rate and the whole milled rice rate as the quality standards, and the method comprises the following steps:

[0007] Q=aγ1+bγ2;

[0008]

[0009]

[0010] wherein γ1 and γ2 represent the membership values of the broken waist rate and the whole milled rice rate respectively; C max , C min , C i represent the maximum value, the minimum value and the target value of the broken waist rate respectively; x max , x min , x i represent the maximum value, the minimum value and the target value of the whole milled rice rate respectively; Q represents the quality score of the drying model; and a and b represent the weights of the broken waist rate and the whole milled rice rate respectively.

[0011] The application further provides a grain intelligent drying device based on a microwave heat pump, which comprises a type discrimination module, a model selection module and a drying processing module.

[0012] The application further provides a grain intelligent drying system based on a microwave heat pump, which comprises the following components.

[0013] A feeding subsystem is configured to convey the grains from bottom to top.

[0014] An ultrasonic dust removal subsystem is configured to perform ultrasonic dust removal on the grains entering the subsystem from the feeding subsystem.

[0015] A detection subsystem comprises a detection cavity arranged below the ultrasonic dust removal subsystem and the above-mentioned grain intelligent drying device based on a microwave heat pump arranged in the detection cavity, which is configured to select a target drying model for the grains after ultrasonic dust removal and determine the target microwave power and the target hot air temperature accordingly.

[0016] The drying subsystem comprises a drying chamber arranged below the detection chamber and communicated with the detection chamber, a microwave drying unit for emitting microwaves into the drying chamber, and a hot air drying unit for introducing hot air into the drying chamber, the microwave drying unit performs microwave drying on the grains in the drying chamber at a target microwave power, and the hot air drying unit performs hot air drying on the grains in the drying chamber at a target hot air temperature.

[0017] The grain discharging subsystem is used for discharging the dried grains.

[0018] The microwave heat pump-based intelligent grain drying system provided by the application further comprises a heat pump condensing subsystem, the heat pump condensing subsystem comprises a tail gas dedusting machine, an exhaust pipeline, a condenser and an air inlet pipeline, the tail gas dedusting machine is installed at the outlet of the air outlet of the drying chamber, the inlet of the exhaust pipeline is connected with the tail gas dedusting machine, the outlet of the exhaust pipeline is connected with the hot air drying unit, the hot air drying unit is connected with the air inlet of the drying chamber through the air inlet pipeline, and the condenser is installed on the exhaust pipeline and used for heat exchange with the tail gas in the exhaust pipeline.

[0019] The microwave heat pump-based intelligent grain drying system provided by the application, the hot air drying unit comprises a heat pump.

[0020] The microwave heat pump-based intelligent grain drying system provided by the application, the condenser is a spherical condenser tube.

[0021] The microwave heat pump-based intelligent grain drying system provided by the application has the following beneficial effects:

[0022] The microwave heat pump-based intelligent grain drying method and device provided by the application establish specific drying models for different grains at different moisture contents, perform drying treatment based on the optimal drying model of the broken rice rate and the whole milled rice rate, avoid the problems of long time and low efficiency caused by multiple drying, the drying process is controllable, the optimal broken rice rate and whole milled rice rate are ensured, and the quality after drying is improved.

[0023] The microwave heat pump-based intelligent grain drying system provided by the application first uses ultrasonic high-frequency vibration to remove dust and impurities from the rice, filters and removes impurities from the tail gas, is convenient and fast, and effectively reduces the pollution to the environment; then adopts a microwave heat pump combined drying mode, which can not only realize sterilization and pest control of the rice by using microwaves, but also improve the drying rate and heating uniformity, improve the quality after drying, and in addition, the microwave power and the hot air temperature are determined according to the target drying model, so that the values of the broken rice rate and the whole milled rice rate are optimal, and the quality after drying is further improved. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to make the technical solutions in the present application or prior art clearer, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings described below are some embodiments of the present application, and all other drawings obtained by those skilled in the art without creative effort based on these drawings also belong to the protection scope of the present application.

[0025] Figure 1 is a flowchart of the grain intelligent drying method based on microwave heat pump provided by the present application;

[0026] Figure 2 is a structural schematic diagram of the grain intelligent drying device based on microwave heat pump provided by the present application;

[0027] Figure 3 is a structural schematic diagram of the grain intelligent drying system based on microwave heat pump provided by the present application;

[0028] Figure 4 is a structural schematic diagram of the heat pump condensing subsystem in the embodiment of the present application;

[0029] Figure 5 is a structural schematic diagram of the hot air drying unit in the embodiment of the present application;

[0030] Figure 6 is a structural schematic diagram of the microwave drying unit in the embodiment of the present application;

[0031] Figure 7 is a layout schematic diagram of the microwave generator in the embodiment of the present application;

[0032] Figure 8 is a structural schematic diagram of the tail gas dust removal machine in the embodiment of the present application;

[0033] Figure 9 is a structural schematic diagram of the ultrasonic dust removal subsystem in the embodiment of the present application;

[0034] Figure 10 is a structural schematic diagram of the compressor in the embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to make the technical solutions in the present application or prior art clearer, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings described below are some embodiments of the present application, and all other drawings obtained by those skilled in the art without creative effort based on these drawings also belong to the protection scope of the present application.

[0036] The present application will be described below in conjunction with the drawings. Figures 1-2The application discloses a microwave heat pump-based intelligent grain drying method and device. Figure 1 A flowchart of a microwave heat pump-based intelligent grain drying method is provided in the application. Figure 1 The microwave heat pump-based intelligent grain drying method provided by the application comprises the following steps.

[0037] 101. Obtain the initial moisture content and bulk density of the material to be dried, and determine the current material type of the material to be dried according to a pre-established corresponding relationship between different material types, different moisture contents and bulk densities.

[0038] Firstly, the moisture content and bulk density of the material to be dried, generally grain, are obtained. The moisture content of the material can be measured by a moisture detector, and the bulk density can be determined by volume and weight. That is, the bulk density is determined by the following formula:

[0039]

[0040] Wherein, ρ is the bulk density, m is the mass of the material, and V is the volume of the material.

[0041] In the application, the bulk density relationship of each type of material to be dried at different moisture contents is pre-established, and the material type can be determined according to the moisture content and bulk density.

[0042] In the process of determining the initial moisture content, multiple moisture meters can be arranged to determine the average value. For example, five moisture meters are arranged on the middle plane of the drying chamber, and a mass sensor is arranged at the bottom of the drying chamber. The average moisture content of the material is measured by the five moisture detectors when the material enters the drying chamber. The mass of the material is measured by the mass sensor, and the volume of the material is determined according to the flow.

[0043] 102. According to the current material type and the initial moisture content, a target drying model corresponding to the material type and the moisture content is selected from a plurality of pre-stored target drying models.

[0044] The target drying model is obtained by screening according to the broken waist rate and the whole milled rice rate from a plurality of candidate drying models with different microwave powers and different hot air temperatures.

[0045] After the current material type and the initial moisture content are determined, the material type and the initial moisture content are brought into the optimal drying mathematical model of the material at the current moisture content, and the microwave and heat pump are combined for drying based on the parameters of the model. In the specific drying model, the broken waist rate after drying is the lowest, the whole milled rice rate is the highest, and the quality after drying is the best.

[0046] Before step 101, drying tests were conducted on different substances to be dried and at different initial moisture contents for each substance. Specifically, different combinations of microwave power and hot air temperature were used for the drying tests. For example, for substance A, at a moisture content w0, single-factor experiments were conducted on microwave power (300W, 400W, 500W, 600W) and hot air temperature (40℃, 50℃, 60℃, 70℃), with the drying time being the time from the initial moisture content to the safe moisture content.

[0047] The breakage rate and head rice rate were used to judge the quality after drying, and membership analysis was used to calculate the Q-value of the quality results. Then, based on the Q-value, the hot air temperature and microwave power were selected as the optimal drying model for substance A at a moisture content of w0.

[0048] The table below shows the experimental setup for substance A at a water content of w0:

[0049] Table 1

[0050]

[0051] The hot air temperature and microwave power corresponding to the maximum Q value in the table are selected as the optimal drying model for substance A at a moisture content of w0.

[0052] Similarly, the optimal drying mathematical model for substance A at different moisture contents is calculated, as well as the optimal drying mathematical models for other substances, such as substance B and substance C, at different moisture contents. Finally, all optimal drying models are stored in the drying control system as target drying models corresponding to different substance types and different moisture contents.

[0053] 103. Dry the material to be dried according to the target drying model, wherein the target drying model includes a target microwave power and a target hot air temperature that match the current material type and initial moisture content.

[0054] In step 103, drying is carried out according to the target drying model corresponding to the above-mentioned material type and moisture content. That is, the parameters of the drying system are adjusted according to the parameters in the target drying model, including the optimal microwave power and the optimal hot air temperature, which are denoted as the target microwave power and the target hot air temperature, respectively.

[0055] The present invention provides a microwave heat pump-based intelligent grain drying method. It establishes specific drying models for different grains at different moisture contents and performs drying treatment based on the optimal drying model for cracked grain rate and head rice rate. This avoids the problems of long drying time and low efficiency of multiple drying processes. At the same time, the drying process is controllable, ensuring the optimal cracked grain rate and head rice rate, and improving the quality after drying.

[0056] In one embodiment, the target drying model further comprises a drying duration from the initial moisture content to the target moisture content, and accordingly, before the obtaining of the moisture content and the bulk density of the material to be dried, the method further comprises: for each type of drying material, under different initial moisture contents, determining a plurality of candidate drying models according to different microwave powers and different hot air temperatures respectively; under different initial moisture contents, for each type of drying material, performing drying based on the plurality of candidate drying models respectively, and determining a drying duration from the initial moisture content to the target moisture content in the drying process; taking the broken rice rate and the whole rice rate as quality standards, determining quality scores of the plurality of candidate drying models; and determining, from the plurality of candidate drying models, a drying model with the highest quality score as the target drying model.

[0057] wherein the initial moisture content is the moisture content before drying, and the target moisture content is the ideal moisture content after drying, which is usually the safe moisture content corresponding to different grains. In the embodiment of the present application, the target drying model not only includes the target microwave power and the target hot air temperature, but also includes the drying duration from the initial moisture content to the target moisture content. Based on the target drying model containing the three parameters, the grain drying process can be greatly improved in efficiency.

[0058] Specifically, before the grain drying, for each type of drying material, under different initial moisture contents, a plurality of candidate drying models are determined according to different microwave powers and different hot air temperatures respectively through experimental means. For example, for the materials A, B and C in Table 1, experiments are performed under different moisture contents, different microwave powers and different hot air temperature combinations. In order to reduce the workload, a plurality of levels (such as 10 levels) can be set in the common moisture content range, and a plurality of gears (such as 4 gears in Table 1) can be set in the common power or hot air temperature range, so that there are 16 candidate drying models for each type of material.

[0059] Taking the material A as an example, under each initial moisture content, drying is performed based on the 16 candidate drying models respectively, and at least two parameters are determined. One is the drying duration from the initial moisture content to the target moisture content (i.e. the safe moisture content or the moisture content that the user wants to achieve) in the drying process; and the other is the quality score of each candidate drying model, which is determined by taking the broken rice rate and the whole rice rate as quality standards.

[0060] From the above 16 candidate models, the candidate drying model with the highest quality score is selected, and the corresponding drying duration is combined to determine the target drying model for each initial moisture content. For other types of materials, the same is true, so that the target drying model of each material to be dried under different initial moisture contents is obtained.

[0061] Then, according to the material type and the initial moisture content obtained in the step 101, a target drying model is selected for the material to be dried in the step 102. In the step 103, the material to be dried is dried based on the target drying model including the three key parameters.

[0062] The microwave heat pump-based grain intelligent drying method provided by the application includes the microwave power and the hot air temperature that are optimal for the broken waist rate and the whole milled rice rate under different material types and different initial moisture contents, and also includes the drying time from the initial moisture content to the target moisture content under the microwave power and the hot air temperature, thereby further improving the drying efficiency and the quality of the dried grain.

[0063] In one embodiment, the quality score of the plurality of candidate drying models is determined by taking the broken waist rate and the whole milled rice rate as the quality standards, and the method comprises the following steps:

[0064] Q=aγ1+bγ2;

[0065]

[0066]

[0067] wherein γ1 and γ2 represent the membership values of the broken waist rate and the whole milled rice rate respectively; C max , C min , C i represent the maximum value, the minimum value and the target value of the broken waist rate respectively, x max , x min , x i represent the maximum value, the minimum value and the target value of the whole milled rice rate respectively; and Q represents the quality score of the drying model.

[0068] Since the lower the broken waist rate is, the better, the membership value of the broken waist rate is set to 0.5. Since the higher the whole milled rice rate is, the better, the membership value of the whole milled rice rate is set to 0.5. Considering that both the broken waist rate and the whole milled rice rate are important indicators for evaluating the quality, both can be set to 0.5, satisfying a+b=1.

[0069] The microwave heat pump-based grain intelligent drying device provided by the application is described as follows, and the microwave heat pump-based grain intelligent drying device described below can be correspondingly referred to the microwave heat pump-based grain intelligent drying method described above.

[0070] Figure 2 is a structural schematic diagram of the microwave heat pump-based grain intelligent drying device provided by the application, as Figure 2As shown, the grain intelligent drying device based on microwave heat pump includes a type identification module 201, a model selection module 202 and a drying processing module 203. The type identification module 201 is configured to obtain the initial moisture content and bulk density of the material to be dried, and determine the current material type of the material to be dried according to the correspondence relationship between different material types, different moisture contents and bulk densities; the model selection module 202 is configured to select a target drying model corresponding to the material type and the moisture content from a plurality of target drying models stored in advance according to the current material type and the initial moisture content; and the drying processing module 203 is configured to dry the material to be dried according to the target drying model, wherein the target drying model includes a target microwave power and a target drying temperature corresponding to the current material type and the initial moisture content.

[0071] The target drying model is obtained by screening according to the broken waist rate and the whole milled rice rate from a plurality of candidate drying models with different microwave powers and different hot air temperatures.

[0072] The device embodiment provided by the embodiment of the present application is to realize the above-mentioned method embodiments, and the specific process and detailed content are referred to the above-mentioned method embodiments, which will not be described here.

[0073] The grain intelligent drying device based on microwave heat pump provided by the embodiment of the present application has the same implementation principle, technical effects and the above-mentioned grain intelligent drying method embodiment based on microwave heat pump, and for brief description, the part not mentioned in the grain intelligent drying device embodiment based on microwave heat pump can refer to the corresponding content in the above-mentioned grain intelligent drying method embodiment based on microwave heat pump.

[0074] The following will be described in combination with Figures 3-10 The grain intelligent drying system based on microwave heat pump is described. As shown in the accompanying drawings, Figures 3-10 The present application provides a grain intelligent drying system based on microwave heat pump, which comprises:

[0075] The feeding subsystem 1 is configured to convey the grain from bottom to top;

[0076] The ultrasonic dust removal subsystem 2 is configured to perform ultrasonic dust removal on the grain entering the ultrasonic dust removal subsystem from the feeding system;

[0077] The detection subsystem 3 comprises a detection cavity arranged below the ultrasonic dust removal subsystem and the above-mentioned grain intelligent drying device based on microwave heat pump arranged in the detection cavity, which is configured to select a target drying model for the grain after ultrasonic dust removal, and determine the target microwave power and the target hot air temperature according to the target drying model;

[0078] The drying subsystem comprises a drying chamber arranged below and communicated with the detection chamber, a microwave drying unit 4 for emitting microwaves into the drying chamber, and a hot air drying unit 5 for introducing hot air into the drying chamber, the microwave drying unit performs microwave drying on the grains in the drying chamber at a target microwave power, and the hot air drying unit performs hot air drying on the grains in the drying chamber at a target hot air temperature.

[0079] The grain discharging subsystem 8 is used for discharging the dried grains.

[0080] When starting to work, the feeding subsystem 1 made by the chain transmission bucket type lifting mode upwardly conveys the grains, and after reaching the top, the grains are automatically turned and discharged into the drying chamber, first pass through the ultrasonic dust removal subsystem to shake and separate the impurities on the surface of the grains, and then the impurities are sucked into the negative pressure chamber, so that the microwave drying rate is effectively improved, and the grains are prevented from being secondarily polluted by the impurities; the grains first pass through the detection subsystem to be identified when entering the drying chamber, and after being identified, the system automatically calls the target drying model that has been set, enters the drying chamber, and automatically adjusts the microwave power and the hot air temperature according to the target drying model through the microwave control unit and the heat pump control unit respectively to perform automatic drying, and when the moisture reaches the safe moisture content, the drying is stopped, and the grains enter the tempering chamber 6 to be tempered and dried, can be tempered and dried for 10 minutes, and then the grains are discharged through the grain discharging subsystem 8 at the bottom.

[0081] In one system embodiment, the heat pump condensing subsystem further comprises an exhaust dust removal machine, an exhaust pipeline 9, a condenser and an air inlet pipeline 10, the exhaust dust removal machine is installed at the outlet of the air outlet of the drying chamber, the inlet of the exhaust pipeline is connected with the exhaust dust removal machine, the outlet of the exhaust pipeline is connected with the hot air drying unit, the hot air drying unit is connected with the air inlet of the drying chamber through the air inlet pipeline, and the condenser is installed on the exhaust pipeline to exchange heat with the exhaust in the exhaust pipeline.

[0082] In one system embodiment, the hot air drying unit comprises a heat pump.

[0083] In one system embodiment, the condenser is a spherical condensing pipeline.

[0084] On the basis of the conventional grain drying tower, the exhaust recovery pipeline is added, the exhaust pipeline 9 is connected with the two air outlets respectively, the exhaust dust removal machines are installed at the two exhaust outlets respectively, the exhaust dust removal machines have two layers of filter screens, the impurities in the exhaust can be cleaned, the cleaned exhaust is subjected to first heat exchange through the spherical condensing pipeline, the heat-exchanged exhaust enters the heat pump as a heating medium, the heat in the condenser is exchanged through the heat exchanger as the working heat source of the compressor, the sensible heat and the latent heat after condensation in the exhaust are fully utilized, no gas is discharged, the pollution to the environment is reduced, and the heat efficiency is improved.

[0085] The application recycles the exhaust gas of the drying tower through the exhaust pipe, recovers heat energy by using a heat pump, can reduce the energy value required for drying per unit time, and provides a solution for a new type of environment-friendly and energy-saving grain drying machine. The application can also adjust and distribute the exhaust pipe and the heat pump system according to the different drying capacities of the drying sections during the drying process, and adapt to the functional requirements.

[0086] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0087] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of intelligent drying of grains based on microwave heat pump, characterized in that, The method comprises the following steps: obtaining the initial moisture content and bulk density of the material to be dried, and determining the current material type of the material to be dried according to the pre-established correspondence relationship between different material types, different moisture contents and different bulk densities; selecting a target drying model corresponding to the current material type and the initial moisture content from a plurality of target drying models stored in advance according to the current material type and the initial moisture content; drying the material to be dried according to the target drying model, wherein the target drying model includes a target microwave power and a target hot air temperature corresponding to the current material type and the initial moisture content; wherein the target drying model is obtained by screening a plurality of candidate drying models with different microwave powers and different hot air temperatures according to the broken waist rate and the whole milled rice rate; the target drying model further includes a drying time from the initial moisture content to the target moisture content, and correspondingly, before obtaining the initial moisture content and the bulk density of the material to be dried, the method further comprises the following steps: for each type of drying material, a plurality of candidate drying models are determined according to different microwave powers and different hot air temperatures under different initial moisture contents; under different initial moisture contents, each type of drying material is dried based on the plurality of candidate drying models, and the drying time from the initial moisture content to the target moisture content in the drying process is determined; the broken waist rate and the whole milled rice rate are used as quality standards to determine the quality scores of the plurality of candidate drying models; the drying model with the highest quality score is determined from the plurality of candidate drying models as the target drying model according to the quality scores; the quality scores of the plurality of candidate drying models are determined according to the broken waist rate and the whole milled rice rate as quality standards; ； ； ； wherein, respectively represent the membership values of the broken waist rate and the head rice rate; , , respectively represent the maximum value, the minimum value and the target value of the broken waist rate, , , respectively represent the maximum value, the minimum value and the target value of the head rice rate; Q represents the quality score of the drying model; a, b respectively represent the weights of the broken waist rate and the head rice rate.

2. A smart grain drying device based on microwave heat pump characterized in that, The method comprises the following steps: a type discrimination module is configured to obtain the initial moisture content and bulk density of the material to be dried, and determine the current material type of the material to be dried according to the pre-established correspondence relationship between different material types, different moisture contents and different bulk densities; a model selection module is configured to select a target drying model corresponding to the material type and the moisture content from a plurality of target drying models stored in advance according to the current material type and the initial moisture content; a drying processing module is configured to dry the material to be dried according to the target drying model, wherein the target drying model includes a target microwave power and a target hot air temperature corresponding to the current material type and the initial moisture content; wherein the target drying model is obtained by screening a plurality of candidate drying models with different microwave powers and different hot air temperatures according to the broken waist rate and the whole milled rice rate; the target drying model further includes a drying time from the initial moisture content to the target moisture content, and correspondingly, before obtaining the initial moisture content and the bulk density of the material to be dried, the method further comprises the following steps: for each type of drying material, a plurality of candidate drying models are determined according to different microwave powers and different hot air temperatures under different initial moisture contents; under different initial moisture contents, each type of drying material is dried based on the plurality of candidate drying models, and the drying time from the initial moisture content to the target moisture content in the drying process is determined; Determine quality scores of the candidate drying models according to the broken waist rate and the whole milled rice rate as quality standards; Determine a drying model with the highest quality score from the candidate drying models as a target drying model according to the quality scores; The determining of the quality scores of the candidate drying models according to the broken waist rate and the whole milled rice rate as quality standards comprises: ； ； ； wherein, respectively represent the membership values of the broken waist rate and the head rice rate; , , respectively represent the maximum value, the minimum value and the target value of the broken waist rate, , , respectively represent the maximum value, the minimum value and the target value of the head rice rate; Q represents the quality score of the drying model; a, b respectively represent the weights of the broken waist rate and the head rice rate.

Images