Rice milling machine and its rice milling control method, device and equipment

Abstract

This application relates to a rice milling machine and its rice milling control method, apparatus, and equipment. The method includes: acquiring first X-ray scan data of paddy rice to be milled; determining the stress risk level of each grain of paddy rice based on the first X-ray scan data; performing stress optimization processing on paddy rice with different stress risk levels to reduce stress risk; acquiring second X-ray scan data of the optimized paddy rice to be milled; determining the stress risk level of each grain of paddy rice after optimization based on the second X-ray scan data; determining the milling parameters of the optimized paddy rice to be milled for different stress risk levels; and controlling the rice milling based on the determined milling parameters. The entire scheme, through pre-reduction of stress risk and real-time precise matching of milling parameters, significantly reduces rice grain breakage during the milling process and effectively reduces the broken rice rate.

Description

Technical Field

[0001] This application relates to the field of rice milling machine technology, and in particular to a rice milling machine and its rice milling control method, device, computer equipment, storage medium and computer program product. Background Technology

[0002] In recent years, as consumers have become increasingly concerned about food safety, healthy eating, and quality of life, household rice milling machines are gaining popularity among families because they allow for "freshly milled and eaten" rice, effectively avoiding the loss of nutrients and flavor caused by long-term storage and chemical polishing of commercially available rice. However, existing household rice milling machines generally suffer from a high rate of broken rice in actual use, significantly reducing the quality of the finished product.

[0003] The main reason for the high rate of broken rice mentioned above is that the whitening mechanism of most rice milling machines currently uses a fixed gap or a structure that can only be roughly manually adjusted. This makes it impossible to accurately adapt the milling pressure to different varieties of rice with varying moisture content and plumpness. At the same time, the milling speed is usually high and not adjustable, causing the rice grains to easily burst and break under intense friction and compression, resulting in a large amount of broken rice. This defect is particularly prominent for commercial rice with significant differences in condition.

[0004] To alleviate the problem of broken rice, existing technologies have attempted to employ multi-stage milling structures, aiming to achieve gentler processing through progressive milling. However, when faced with raw materials of varying conditions, these technologies struggle to achieve the goal of "precise milling and uniform processing," leaving the high rate of broken rice unresolved. Summary of the Invention

[0005] Therefore, it is necessary to provide a rice milling machine that can reduce the broken rice rate, as well as a rice milling control method, device, computer equipment, storage medium, and computer program product, to address the above-mentioned technical problems.

[0006] Firstly, this application provides a rice milling control method for a rice milling machine. The method includes:

[0007] Obtain the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain based on the first X-ray scan data;

[0008] Stress optimization treatments were performed on rice grains with different stress risk levels to reduce the stress risk of the rice grains.

[0009] Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data;

[0010] The milling parameters of the rice to be milled were determined for different stress risk levels, and the milling was controlled based on the determined milling parameters.

[0011] In one embodiment, acquiring first X-ray scan data of the rice grains to be milled and determining the stress risk level of each grain based on the first X-ray scan data includes:

[0012] Obtain the first X-ray scan data of the rice grains to be milled;

[0013] Based on the first X-ray scan data, a first stress risk map of each grain of rice is generated.

[0014] Each grain of rice is classified based on its crack risk level according to the first stress risk map, thus obtaining the stress risk level corresponding to each grain of rice.

[0015] In one embodiment, generating a first stress risk map for each grain of rice based on first X-ray scan data includes:

[0016] Based on the first X-ray scan data, the crack depth and crack length of each grain of rice were obtained;

[0017] Based on the crack depth and crack length of each grain of rice, a first stress risk map is generated for each grain of rice.

[0018] In one embodiment, stress optimization treatment corresponding to different stress risk levels is performed on rice grains to reduce stress risk, including:

[0019] Obtain the correspondence between preset stress risk levels and microwave-steam optimization parameters;

[0020] Based on the pre-defined relationship between stress risk level and microwave-steam optimization parameters, microwave-steam optimization parameters for rice with different stress risk levels are determined.

[0021] Based on the determined microwave-steam optimization parameters, stress optimization treatment based on microwave and steam was carried out on rice with different stress risk levels to reduce the stress risk of rice.

[0022] In one embodiment, microwave and steam-based stress optimization treatment is performed on rice grains with different stress risk levels based on determined microwave-steam optimization parameters to reduce the stress risk of the rice grains, including:

[0023] Vibration at a preset frequency is applied to the rice grains to be milled, so that the individual grains of rice are arranged in an orderly manner.

[0024] Based on the stress risk level corresponding to each grain of rice, the rice grains to be milled are divided into different storage areas according to the orderly arrangement of individual grains; different storage areas correspond to different stress risk levels.

[0025] Based on the determined microwave-steam optimization parameters, stress optimization treatment based on microwave and steam was carried out on rice in different storage areas to reduce the stress risk of rice.

[0026] In one embodiment, the stress risk level includes low risk (characterizing no cracks), medium risk (characterizing shallow cracks), and high risk (characterizing deep cracks); the microwave-steam optimization parameters include microwave power, steam quantity, residence time, and center temperature parameters.

[0027] In one embodiment, determining optimized milling parameters for paddy rice at different stress risk levels and controlling the rice milling process based on the determined milling parameters includes:

[0028] Obtain the correspondence between preset risk levels and grinding parameters;

[0029] Based on the preset relationship between risk level and milling parameters, the optimized milling parameters for rice to be milled are determined for different stress risk levels.

[0030] Rice milling is controlled based on determined milling parameters.

[0031] Secondly, this application also provides a rice milling control device for a rice milling machine. The device includes:

[0032] The first scanning processing module is used to acquire the first X-ray scan data of the rice grains to be milled and to determine the stress risk level of each grain of rice based on the first X-ray scan data.

[0033] The stress optimization module is used to perform stress optimization processing on rice with different stress risk levels, in order to reduce the stress risk of the rice.

[0034] The second scanning processing module is used to acquire the second X-ray scan data of the optimized rice grains to be milled, and to determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data.

[0035] The rice milling control module is used to determine the optimized milling parameters of paddy rice to be milled for different stress risk levels, and to control the rice milling process based on the determined milling parameters.

[0036] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0037] Obtain the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain based on the first X-ray scan data;

[0038] Stress optimization treatments were performed on rice grains with different stress risk levels to reduce the stress risk of the rice grains.

[0039] Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data;

[0040] The milling parameters of the rice to be milled were determined for different stress risk levels, and the milling was controlled based on the determined milling parameters.

[0041] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0042] Obtain the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain based on the first X-ray scan data;

[0043] Stress optimization treatments were performed on rice grains with different stress risk levels to reduce the stress risk of the rice grains.

[0044] Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data;

[0045] The milling parameters of the rice to be milled were determined for different stress risk levels, and the milling was controlled based on the determined milling parameters.

[0046] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0047] Obtain the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain based on the first X-ray scan data;

[0048] Stress optimization treatments were performed on rice grains with different stress risk levels to reduce the stress risk of the rice grains.

[0049] Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data;

[0050] The milling parameters of the rice to be milled were determined for different stress risk levels, and the milling was controlled based on the determined milling parameters.

[0051] Sixthly, this application also provides a rice milling machine, including a rice milling machine body and a controller, wherein the controller uses the above-described rice milling control method to control the rice milling machine body to perform rice milling operations.

[0052] The aforementioned rice milling machine and its rice milling control method, device, computer equipment, storage medium, and computer program products determine the stress risk level of each grain of rice based on first X-ray scan data. This process utilizes the ability of X-rays to detect the internal structure of rice grains, identifying different stress risks caused by variations in variety, moisture content, and fullness, providing a basis for differentiated stress optimization. Implementing corresponding stress optimization treatments based on the stress risk level can specifically reduce residual stress within the rice grains, improving their fracture resistance before milling and reducing the probability of cracking due to internal stress concentration during milling. After stress optimization, second X-ray scan data is acquired to re-determine the stress risk level of each grain of rice. This step reflects the true state of the rice grains after optimization, eliminating the influence of differences in the original state on subsequent milling parameter settings. Furthermore, based on the optimized stress risk level, differentiated milling parameters are configured for different types of rice, ensuring that milling pressure, rotation speed, and other parameters match the mechanical load that the rice can currently withstand. This avoids the drawbacks of using uniform parameters to cause excessive milling damage to low-stress-risk rice or insufficient milling to high-stress-risk rice. Thus, by pre-emptively reducing stress risk and accurately matching milling parameters in real time, rice grain breakage during the milling process is significantly reduced, effectively lowering the broken rice rate. Attached Figure Description

[0053] Figure 1 This is an application environment diagram of the rice milling control method of a rice milling machine in one embodiment;

[0054] Figure 2 This is a flowchart illustrating the rice milling control method of a rice milling machine in one embodiment;

[0055] Figure 3 This is a flowchart illustrating the rice milling control method of a rice milling machine in another embodiment;

[0056] Figure 4 This is a structural block diagram of the rice milling control device of a rice milling machine in one embodiment;

[0057] Figure 5 This is an internal structural diagram of a computer device in one embodiment.

[0058] Explanation of reference numerals in the attached figures:

[0059] 102. Rice milling machine body; 104. Controller. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0061] The rice milling control method for the rice milling machine provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, the entire rice milling machine includes a rice milling machine body 102 and a controller 104. The rice milling machine body 102 includes an X-ray detection device, a microwave-steam transient coupling conditioning chamber, and a three-dimensional anisotropic flexible grinding chamber. The controller 104 controls the working conditions of each component in the rice milling machine body to complete the rice milling control of the entire rice milling machine body 102. Specifically, the controller 104 acquires the first X-ray scan data of the rice to be milled collected by the X-ray detection equipment, and determines the stress risk level of each grain of rice based on the first X-ray scan data; it controls the microwave-steam transient coupling conditioning chamber to perform stress optimization processing on rice with different stress risk levels to reduce the stress risk of the rice; the controller 104 acquires the second X-ray scan data of the optimized rice to be milled collected by the X-ray detection equipment again, and determines the stress risk level of each grain of rice after optimization based on the second X-ray scan data; it determines the milling parameters of the optimized rice to be milled for different stress risk levels, and controls the three-dimensional anisotropic flexible milling chamber to mill rice based on the determined milling parameters.

[0062] In one embodiment, such as Figure 2 As shown, a rice milling control method for a rice milling machine is provided, which is applied to... Figure 1 Taking controller 104 as an example, the following steps are included:

[0063] S200: Acquire the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain based on the first X-ray scan data.

[0064] The controller acquires the first X-ray scan data of the rice grains to be milled, enabling precise identification of the initial internal state of each grain. In practice, the rice grains are transported one by one by a single-grain arrangement device, sequentially passing through the detection area of ​​the X-ray detection equipment. The X-ray detection equipment includes an X-ray source and a corresponding detector array, emitting X-rays into the rice grains and collecting the attenuated signals after transmission, generating the first X-ray scan data reflecting the internal density distribution of the rice grains, which is then sent to the controller. Upon receiving this data, the controller analyzes the uniformity of the internal density distribution of each rice grain, identifying the presence of hidden bursting features such as microcracks and density discontinuities caused by factors such as varietal characteristics, drying stress, or mechanical damage. Based on parameters such as the size, location, and number of density anomaly areas, the controller assesses the stress risk level of each rice grain, classifying it into high-stress-risk, medium-stress-risk, and low-stress-risk levels.

[0065] In specific application examples, the acquisition of the first X-ray scan data can be achieved using X-ray computed tomography (CT) technology. By acquiring projection data from multiple angles, the three-dimensional density distribution voxel data of each grain of rice can be reconstructed, thereby more accurately identifying hidden cracks extending in different directions within the rice grain. When determining the stress risk level, preset evaluation criteria such as crack length thresholds and crack depths can be used. When the detection result of a grain of rice reaches or exceeds the corresponding threshold, it is classified into the corresponding risk level.

[0066] S400: Perform stress optimization treatment on rice grains with different stress risk levels to reduce the stress risk of the rice grains.

[0067] Stress optimization treatment refers to the process of applying a controllable external physical field or medium to rice grains to relax residual stress and blunt or close microcrack tips, thereby improving the uniformity of rice structure and fracture toughness. The controller has a preset mapping relationship between stress risk levels and stress optimization treatment methods. For rice grains with different stress risk levels, different combinations of treatment parameters are invoked to achieve differentiated treatment. In a specific embodiment, stress optimization treatment can be performed using a conditioning chamber equipped with a microwave generator and a steam injection device, enabling transient coupling of microwave irradiation and steam injection on the rice grains entering the chamber. Microwave irradiation uses a high-frequency alternating electric field to cause high-speed vibration of polar molecules such as water molecules inside the rice grains, effectively relaxing residual thermal stress and shrinkage stress caused by drying or temperature differences. Steam injection, through humid heat, moderately swells the surface of the rice grains, allowing moisture to penetrate into the microcracks, reducing the stress concentration factor at the crack tips, thereby achieving crack closure or inhibiting propagation. During the processing, the controller dynamically adjusts the microwave power, steam flow rate, and processing time according to the current stress risk level of the rice. For example, for rice with a high stress risk level and significant microcrack characteristics, a relatively high microwave power and a moderate amount of steam can be used, and the processing time can be extended. For rice with a medium stress risk level and obvious stress unevenness, a medium microwave power combined with a larger amount of steam can be used to improve its overall toughness. For rice with a low stress risk level, only a short-term low-power microwave treatment can be applied or the treatment steps can be omitted.

[0068] S600: Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data.

[0069] Because the stress optimization process in step S400 alters the opening and closing state of microcracks and stress distribution within the rice grains, the initially labeled stress risk level no longer represents the rice's true fracture resistance. Therefore, the optimized rice grains are scanned again by X-ray inspection equipment, generating second X-ray scan data which is sent to the controller. Based on this second X-ray scan data, the controller uses the same density analysis and defect identification methods as in step S200 to re-determine the current stress risk level of each rice grain. Specifically, the stress risk level can also be identified using a large AI model.

[0070] S800: Determine the optimized milling parameters for paddy rice to be milled at different stress risk levels, and control the rice milling process based on the determined milling parameters.

[0071] The controller has a pre-built correspondence between stress risk levels and milling parameters. This correspondence can be obtained through experimental calibration, ensuring that rice of different stress risk levels can be effectively milled without causing excessive breakage. Based on the current stress risk level of each rice determined in step S600, the controller queries the above correspondence to obtain the appropriate combination of milling parameters, and controls the operation of the rice milling hopper of the rice milling machine accordingly.

[0072] In one specific embodiment, the rice milling machine can employ a three-dimensional anisotropic flexible grinding chamber to perform differentiated grinding control. This grinding chamber has multiple independently adjustable flexible grinding components, capable of applying mechanical forces of various directions and amplitudes to the rice grains, forming a multimodal stress field. During the grinding process, the controller adjusts the stress field mode and intensity within the grinding chamber according to the stress risk level of each grain or group of rice grains: for example, for rice grains that still have a relatively high stress risk level after optimization, the grinding chamber is controlled in a flexible mode with low grinding pressure, low speed, and strong kneading action to gently and gradually remove the bran layer, avoiding shear force concentration that could cause breakage; for rice grains with a low stress risk level, the mode can be switched to higher grinding pressure and speed to ensure peeling efficiency. This achieves a precise match between the grinding mechanical load and the actual bearing capacity of each individual rice grain, ensuring the whitening effect while strictly limiting the mechanical force on the rice grains within their fracture limits, thereby significantly reducing the broken rice rate.

[0073] The rice milling control method of the aforementioned rice milling machine determines the stress risk level of each grain of rice based on the first X-ray scan data. This process utilizes the ability of X-rays to detect the internal structure of rice grains, identifying different stress risks caused by variations in variety, moisture content, and fullness, providing a basis for differentiated stress optimization. Based on the stress risk level, corresponding stress optimization treatments are implemented to specifically reduce residual stress within the rice grains, improving their fracture resistance before milling and reducing the probability of breakage due to internal stress concentration during milling. After stress optimization, a second X-ray scan is acquired to re-determine the stress risk level of each grain of rice. This step reflects the true state of the rice after optimization, eliminating the influence of differences in the original state on subsequent milling parameter settings. Furthermore, based on the optimized stress risk level, differentiated milling parameters are configured for different grains of rice, ensuring that milling pressure, rotation speed, etc., match the mechanical load that the rice can currently withstand. This avoids the defects of using uniform parameters to cause excessive milling damage to low-stress-risk rice or insufficient milling to high-stress-risk rice. Therefore, by reducing stress risk in advance and matching milling parameters accurately in real time, rice grain breakage during the rice milling process is significantly reduced, effectively reducing the broken rice rate.

[0074] In one embodiment, such as Figure 3As shown, obtaining the first X-ray scan data of the rice to be milled and determining the stress risk level of each grain of rice based on the first X-ray scan data includes:

[0075] S220: Acquire the first X-ray scan data of the rice to be milled.

[0076] The first X-ray scan data is the raw detection data generated after X-ray transmission scanning of individually arranged rice grains, which can reflect the internal density distribution and structural characteristics of each grain. Specifically, the X-ray detection equipment can perform multi-angle projection scanning on each grain of rice to obtain more comprehensive internal structural information.

[0077] S240: Based on the first X-ray scan data, generate the first stress risk map for each grain of rice.

[0078] The first stress risk map is a visual and spatial representation of the internal stress risk status of rice grains. It converts the density distribution information obtained from scanning into a visual map that intuitively reflects the degree of stress concentration, the likelihood of cracks, and their severity within the rice grain. The stress risk map is generated by analyzing the density values ​​and gradient changes in different regions within the rice grain: areas with abnormally low density values ​​or steep density gradients typically correspond to microcracks, voids, or stress concentration zones, which are more likely to become fracture sources during milling. Specifically, the first stress risk map can be presented in the form of a two-dimensional or three-dimensional heat map. In this map, a preset color coding scheme can be used to differentiate and label different stress risk areas. For example, different colors or gray levels can correspond to different stress risk index value ranges, thus intuitively displaying the potential risk level of fractures occurring in various parts of the rice grain. Information such as crack depth and propagation direction can also be overlaid on the map, providing richer and more accurate judgment criteria for subsequent classification. In practical applications, the first stress risk map uses a 3D heat map. This 3D heat map uses color coding to label the stress risk index of each voxel point inside the rice grain. For example, green areas indicate low risk, corresponding to areas with no cracks or very small cracks; yellow areas indicate medium risk, corresponding to areas with shallow cracks; and red areas indicate high risk, corresponding to areas with deep cracks. This 3D heat map is presented in a three-dimensional manner, clearly showing the spatial direction and depth of the crack inside the rice grain, as well as its positional relationship with the rice grain surface.

[0079] S260: Based on the first stress risk map, each grain of rice is classified according to the crack risk level to obtain the stress risk level corresponding to each grain of rice.

[0080] The core of the classification process lies in determining the likelihood of rice grains bursting or breaking during subsequent milling based on crack-related information reflected in the stress risk map. Specifically, rice grains can be divided into multiple stress risk levels based on preset classification rules, such as high stress risk, medium stress risk, and low stress risk. Classification criteria can include information such as crack depth and length. For example, a rice grain with a shallow crack (0.2 mm deep, 1.5 mm long) is classified as medium risk based on AI model analysis; a rice grain with a deep crack (0.5 mm deep, 3 mm long) is classified as high risk based on AI model analysis.

[0081] In one embodiment, generating a first stress risk map for each grain of rice based on first X-ray scan data includes:

[0082] Step 1: Based on the first X-ray scan data, obtain the crack depth and crack length of each grain of rice.

[0083] The controller performs quantitative analysis on the first X-ray scan data, extracting geometric characteristic parameters of the cracks inside each rice grain, specifically crack depth and crack length. Crack depth refers to the maximum vertical distance the crack extends from the rice grain surface inwards; this parameter directly determines the degree to which the crack weakens the overall structural integrity of the rice grain. Crack length refers to the maximum expansion dimension of the crack along its extension direction inside the rice grain; this parameter reflects the range of influence of the crack. Crack depth and crack length are obtained by analyzing the boundaries and voxel distribution of density anomalous regions in the X-ray scan data: continuous low-density regions with significantly different density values ​​from the surrounding normal endosperm tissue are considered crack regions; the crack length is measured along the maximum extension direction of this region, and the crack depth is measured along a direction perpendicular to the rice grain surface.

[0084] Step 2: Generate the first stress risk map for each grain of rice based on the crack depth and crack length.

[0085] Based on the crack depth and crack length obtained in step 1, the controller generates a first stress risk map for each grain of rice, which visually reflects its stress risk state. This first stress risk map is a graphical representation formed by visually annotating the internal stress risk information based on the outline or spatial model of the rice grain. There is a preset mapping relationship between the generation method of the map and the crack depth and crack length, so that cracks with different geometric features can be distinguished and presented in different visual forms on the map.

[0086] In specific application examples, the first stress risk map can be presented as a heat map, combined with a preset color coding scheme to distinguish different levels of stress risk. For example, the stress risk of rice can be divided into multiple levels based on crack depth and / or crack length, with each level assigned a corresponding color: areas with no cracks or extremely small cracks are represented by the first color, corresponding to a low-risk state; areas with shallow cracks are represented by the second color, corresponding to a medium-risk state; and areas with deep cracks are represented by the third color, corresponding to a high-risk state. The distinction between shallow and deep cracks can be achieved through preset depth thresholds. For example, cracks with a depth less than the preset threshold are defined as shallow cracks, and cracks with a depth greater than or equal to the preset threshold are defined as deep cracks. The map can also be overlaid with measured crack depth values ​​and a risk index calculated based on crack depth and crack length to provide more comprehensive and quantitative risk reference information.

[0087] In one embodiment, stress optimization treatment corresponding to different stress risk levels is performed on rice grains to reduce stress risk, including:

[0088] Step 1: Obtain the correspondence between the preset stress risk level and the microwave-steam optimization parameters.

[0089] The controller acquires the pre-built and stored correspondence between stress risk levels and microwave-steam optimization parameters. This correspondence defines the microwave and steam treatment parameters that should be matched for rice with different stress risk levels, serving as the basis for parameter selection in subsequent differentiated stress optimization treatments. Microwave-steam optimization parameters refer to a combination of one or more adjustable variables controlling the operating state of the microwave generator and steam injection device when using microwave irradiation and steam injection as stress optimization methods. This correspondence can be obtained through pre-determined experimental calibration: stress optimization treatment experiments with different combinations of microwave and steam parameters are conducted on rice samples with different stress risk levels. The optimization effect is evaluated using indicators such as the crack closure rate, stress relaxation degree, or increase in fracture strength after treatment, thereby determining the optimal or relatively optimal parameter combination for each stress risk level, and storing this correspondence in the controller's storage unit. The pre-defined correspondence between stress risk levels and microwave-steam optimization parameters can be stored in the controller in the form of a mapping table, functional relationship, or database. Specifically, the pre-defined correspondence between stress risk levels and microwave-steam optimization parameters can be a correspondence table, as shown in Table 1 below.

[0090] Table 1 shows the correspondence between preset stress risk levels and microwave-steam optimization parameters.

[0091]

[0092] Step 2: Determine the microwave-steam optimization parameters for rice with different stress risk levels based on the preset relationship between stress risk levels and microwave-steam optimization parameters.

[0093] Based on the stress risk level of each grain or group of rice determined in step S200 and the preset correspondence obtained in step 1, the controller determines the appropriate microwave-steam optimization parameters for rice with different stress risk levels. Specifically, for rice with a high stress risk level, the controller queries and determines a set of matching microwave-steam optimization parameters from the correspondence; for rice with medium and low risk levels, another set of parameters is determined respectively. As shown in Table 1 above, the microwave-steam optimization parameters may include one or more of the following parameters: microwave power, steam volume, processing residence time, and target center temperature during processing. Among them, microwave power affects the intensity of molecular vibration and heating rate inside the rice grain, steam volume affects the intensity of the moist heat effect, processing residence time affects the sufficiency of optimization, and target center temperature serves as a reference indicator for process control. For rice with a high stress risk level, a higher microwave power, a larger steam volume, and a longer processing time are usually required to produce sufficient moist heat penetration and stress relaxation effects; for rice with a low stress risk level, lower parameters can be used to reduce energy consumption and avoid over-processing.

[0094] Step 3: Based on the determined microwave-steam optimization parameters, perform microwave and steam-based stress optimization treatment on rice with different stress risk levels to reduce the stress risk of rice.

[0095] Based on the microwave-steam optimization parameters determined in step 2, the controller directs the stress optimization treatment device to perform microwave and steam-based stress optimization treatment on rice grains with corresponding stress risk levels. This treatment improves the internal structure of the rice grains from a physical perspective through the synergistic effect of microwave irradiation and steam injection. Microwave irradiation uses an alternating electromagnetic field to cause rapid vibration of polar molecules inside the rice grains. The resulting dielectric heating effect relaxes the internal residual stress field caused by drying stress, thermal stress, etc., while simultaneously raising the rice grain temperature uniformly and improving the penetration efficiency of subsequent wet heat treatment. Steam injection introduces a wet heat medium into the rice grain surface and inside cracks. Moisture penetrates along the crack channels to the crack tips, causing swelling and stress release in the crack tip region, effectively reducing the stress concentration factor at the crack tip and inhibiting crack propagation under subsequent stress. The transient coupling effect of the two can achieve crack passivation, closure, and uniformity of overall stress distribution, thereby reducing the stress risk of rice grains bursting and breaking during subsequent milling.

[0096] In one embodiment, microwave and steam-based stress optimization treatment is performed on rice grains with different stress risk levels based on determined microwave-steam optimization parameters to reduce the stress risk of the rice grains, including:

[0097] Step 1: Apply vibration at a preset frequency to the rice grains to be milled so that the individual grains of rice are arranged in an orderly manner.

[0098] Before the paddy rice enters the stress optimization treatment, a vibration excitation at a preset frequency is applied to the paddy rice to be milled by a vibrating feeding device. The frequency and amplitude of this vibration are set according to the physical characteristics of the paddy rice and the structure of the conveying trough. Its function is to eliminate the stacking, bridging and mutual adhesion between the paddy rice, so that the paddy rice, which was originally in a disordered stacked state, is gradually dispersed on the surface of the vibrating trough, and finally forms an orderly flow state of single grains arranged in sequence with stable spacing.

[0099] Step 2: Based on the stress risk level corresponding to each grain of rice, the rice grains arranged in an orderly manner are diverted to different storage areas; different storage areas correspond to different stress risk levels.

[0100] Based on the orderly arrangement of individual rice grains, the controller, according to the stress risk level of each grain determined in a previous step, controls the diversion mechanism to guide the rice grain to the corresponding storage area. The diversion mechanism is located at the end of the vibratory conveying path or downstream of the X-ray detection area. Its physical structure divides the stress optimization treatment chamber into multiple independent storage areas, each predefined as a processing space corresponding to a specific stress risk level. For example, three storage areas can be set up, corresponding to high stress risk, medium stress risk, and low stress risk levels, respectively. When a rice grain passes the identification point and is marked as having a specific stress risk level, the controller immediately drives the diversion mechanism to move the rice grain into the designated storage area, thereby achieving spatial physical isolation of rice grains with different stress risk levels. Specifically, the diversion mechanism may include a controlled-moving baffle assembly. The baffle assembly may include multiple independently openable and closable diversion baffles corresponding one-to-one with the entrances of multiple processing storage areas, each baffle being driven by an electromagnet or stepper motor. Once the controller identifies the stress risk level of the current rice, it only opens the entrance baffle of the storage area corresponding to that level, while keeping the other baffles closed, allowing the rice to slide into the target storage area.

[0101] Step 3: Based on the determined microwave-steam optimization parameters, stress optimization treatment based on microwave and steam is carried out on rice in different storage areas to reduce the stress risk of rice.

[0102] Once rice grains with different stress risk levels are collected in their respective storage areas, the controller independently performs microwave and steam-based stress optimization treatment on each storage area based on the microwave-steam optimization parameters determined in step 2. Since the stress risk level of the rice grains in each storage area is consistent, the same treatment parameters can be applied uniformly to the entire storage area without switching parameters at the individual grain level, thus improving processing efficiency while ensuring targeted treatment. Each storage area can be equipped with an independent microwave generation module and steam injection module. The controller adjusts the microwave electric field intensity and steam supply of each storage area according to parameters such as microwave power, steam volume, and processing residence time, achieving differentiated treatment at the storage area level.

[0103] In one embodiment, determining optimized milling parameters for paddy rice at different stress risk levels and controlling the rice milling process based on the determined milling parameters includes:

[0104] Step 1: Obtain the correspondence between preset risk levels and grinding parameters.

[0105] The controller acquires a pre-built and stored correspondence between stress risk levels and milling parameters. This correspondence defines the combination of milling parameters that should be matched when rice with different stress risk levels after stress optimization enters the milling stage. Milling parameters refer to the values ​​of a set of adjustable variables that control the mechanical action applied to the rice by the whitening chamber of the rice milling machine. Their settings directly determine the magnitude, direction, and mode of action of the mechanical load on the rice during the milling process. This pre-set correspondence can be obtained through pre-tested milling calibration experiments: for rice samples divided into different stress risk levels after stress optimization, milling tests are conducted under different combinations of milling parameters. Using whitening effect and broken rice rate as evaluation indicators, the optimal milling parameters or parameter ranges corresponding to each stress risk level of rice are determined, and this correspondence is pre-stored in the controller's storage unit. This correspondence can be stored in the form of a mapping table, functional expression, or database. Specifically, the pre-set correspondence between risk level and milling parameters can be a correspondence table, as shown in Table 2 below.

[0106] Table 2 shows the correspondence between preset risk levels and grinding parameters.

[0107]

[0108] Step 2: Based on the preset risk level and the correspondence between milling parameters, determine the optimized milling parameters for rice paddies to be milled for different stress risk levels.

[0109] Based on the current stress risk level of each grain or group of rice determined after the secondary scan in step S600, and combined with the preset risk level and milling parameter correspondence obtained in step 1, the controller determines the appropriate milling parameters for rice with different stress risk levels. Specifically, for rice that still has a high stress risk level after optimization, the controller queries the correspondence and determines a parameter combination with relatively low milling intensity that matches it; for rice with a low stress risk level, it determines a parameter combination with relatively high milling intensity. This step establishes a precise quantitative matching relationship between the actual milling resistance of rice reflected by the secondary detection and the milling parameters, avoiding the contradiction that high-strength parameters lead to breakage of high-stress-risk rice and low-strength parameters lead to insufficient whitening of low-stress-risk rice when uniform milling parameters are used, thus achieving the adaptation between the milling mechanical load and the individual bearing capacity of rice.

[0110] Step 3: Control rice milling based on the determined milling parameters.

[0111] Based on the milling parameters determined in step 2, the controller controls the whitening chamber of the rice mill to perform differentiated milling operations on the corresponding paddy rice. The milling parameters can be adjusted by controlling the motion state of the milling components in the whitening chamber, the constraint conditions of the milling chamber, or the auxiliary cooling conditions. Specifically, the milling parameters may include at least one of the following: milling pressure acting on the paddy rice, rotational speed or linear velocity of the milling components, and milling time. For paddy rice with a high stress risk level, the controller can reduce the milling pressure and rotational speed to reduce the squeezing and shearing forces experienced by the paddy rice during milling, preventing crack propagation and breakage; for paddy rice with a low stress risk level, the milling pressure and rotational speed can be appropriately increased to improve peeling efficiency and whitening effect without causing breakage.

[0112] To illustrate the technical solution of the rice milling control method of the rice milling machine in this application in detail, several specific application examples will be used below for further description.

[0113] Example 1 (Taking a general complete rice milling process as an example)

[0114] Turn on the power to the rice milling equipment. The user puts the paddy rice to be processed into the feed hopper, and the paddy rice enters the rice feeding chamber. The user selects the "refined rice" processing mode on the control panel and clicks confirm. The control system then automatically enters the corresponding refined rice mode and starts the rice milling process.

[0115] Rice grains enter the X-ray inspection equipment (Area A) through the rice inlet chamber and a single-grain arrangement device. Area A is equipped with a high-speed X-ray camera that performs a full-dimensional scan of each grain at a scanning rate of 10,000 frames per second, acquiring the X-ray attenuation signal after penetrating each grain to obtain the first X-ray scan data reflecting the internal density distribution of the rice grain. Based on this first X-ray scan data, the control system identifies whether there are hidden cracks inside each grain and generates a first stress risk map for each grain. According to the crack depth, length, and distribution characteristics reflected in the first stress risk map, the control system classifies the rice grains into three stress risk levels: low risk level (rice grains without obvious internal cracks); medium risk level (rice grains with shallow internal cracks); and high risk level (rice grains with deep internal cracks).

[0116] After X-ray inspection and risk level classification, the rice enters the microwave-steam transient coupling conditioning chamber. Based on the stress risk level of the rice, the conditioning chamber initiates different treatment modes to perform differentiated stress optimization treatment. For low-risk rice, the conditioning chamber activates a "light heat and slight humidification" mode: the microwave power is set to the low range of the rated power, i.e., 10% to 20%; the core temperature of the rice is controlled between 35℃ and 38℃; the steam spray volume is minimal, achieving 0.5% to 0.8% humidification; and the treatment duration is 5 seconds. Under this mode, the rice remains generally dry but achieves improved flexibility, with a more uniform internal moisture distribution and minimal increase in absolute moisture content. For rice of medium risk level, the conditioning silo activates a "medium heat and medium moisture" mode: the microwave power is set to the mid-range of the rated power, i.e., 40% to 60%, prioritizing heating of areas near cracks; the center temperature is controlled between 45℃ and 50℃; the steam spray volume is appropriate, achieving 1.2% to 1.5% humidification, using saturated steam to transport heat and water molecules to the surface of the rice grains and shallow cracks; the treatment duration is 15 seconds. In this mode, a gradient moisture distribution is formed inside the rice grains, with the outer layer slightly moist and the inner layer slightly soft, effectively releasing stress at shallow cracks. For high-risk rice, the conditioning silo activates a "high-heat, high-pressure" mode: the microwave power is set to the high end of the rated power range, i.e., 80% to 100%, implementing high-intensity microwave heating; the center temperature is controlled at 55℃ to 60℃; the steam spray volume is high-pressure humidification, achieving 2.0% to 2.5% humidification; the treatment duration is extended to 30 seconds to ensure sufficient time for heat and water molecules to fully penetrate into the rice grain core, avoiding an uneven state of external moisture and internal dryness. Under this mode, the rice grains exhibit a highly plastic state, and the stress at deep cracks is completely released.

[0117] After stress optimization, the rice grains enter area B of the X-ray inspection equipment. Area B of the X-ray inspection equipment also performs a full-dimensional scan of the optimized rice grains at a scan rate of 10,000 frames per second, acquiring second X-ray scan data for each grain to obtain image information reflecting the internal density distribution and crack repair status of the optimized rice. Based on this second X-ray scan data, the control system generates a second stress risk map for each grain and re-classifies the rice grains according to the second stress risk map, classifying them into three levels: low risk, medium risk, and high risk. This secondary inspection and classification ensures that the subsequent milling parameters are set based on the current actual state of the optimized rice grains.

[0118] After secondary inspection and classification, the rice grains enter a three-dimensional anisotropic flexible milling chamber. This chamber is equipped with SMA (Shape Memory Alloy) micro-convex units, whose surface hardness and elastic deformation characteristics can be adjusted through temperature control. The control system activates different milling modes according to the stress risk level determined in the secondary calibration. For rice with a low risk level, a high-intensity, high-friction mode is activated: the SMA micro-convex units are electrically heated to a high temperature above 80°C, causing them to fully harden and reach maximum surface hardness; the vertical pressure is set to 100% of the standard pressure; the tangential friction is set to maximum; the milling speed is matched to high speed; and the cooling strategy is standard air cooling. Since the rice grains themselves have no cracks or stress concentration points, high-pressure milling will not cause breakage, achieving rapid and efficient removal of the bran layer. For medium-risk rice, a medium-intensity, medium-friction mode is activated: the SMA micro-convex unit heats at medium power, maintaining the temperature between 45°C and 55°C, keeping it in a semi-elastic state; vertical pressure is reduced to 60% to 70% of standard pressure; tangential friction is set to medium; the micro-convex unit allows for independent deformation strokes of 0.3mm to 0.5mm, providing a buffer for the rice; and an enhanced local cooling strategy is employed to quickly remove the frictional heat generated during milling. In this mode, the milling process is gentle, stress at crack tips is released, the hulling process is smooth, and rice grain breakage due to excessive pressure is avoided. For high-risk grade rice, a low-intensity, low-friction mode is activated: the SMA micro-convex unit is powered off and cooled to below 25°C, making it extremely soft; the vertical pressure is significantly reduced to 20% to 30% of the standard pressure; the tangential friction force is set to weak friction; the micro-convex unit allows for a large deformation stroke of more than 1.0 mm, forming a deep encapsulation effect on the rice; the cooling strategy is set to extremely strong cooling to ensure that the rice grains do not accumulate heat during milling. This mode transforms rice that might otherwise break under stress into whole rice through flexible milling, and the stress at deep cracks is avoided under low-load milling.

[0119] After milling is complete, the control system starts the blower to blow the chaff produced during milling into the chaff bin through the chaff outlet, achieving complete separation of the chaff from the finished polished rice. Then, the blower is turned off, the rice outlet is opened, and the finished polished rice is pushed into the rice bin. The machine stops running, and the rice milling process is complete.

[0120] Example 2 (taking polished rice as an example of brown rice)

[0121] Turn on the power to the rice milling equipment. The user puts the japonica rice to be processed into the feed hopper, and the rice enters the rice feeding chamber. The user selects the "refined rice" processing mode on the control panel and clicks confirm. The control system then automatically enters the corresponding refined rice mode and starts the rice milling process.

[0122] Rice grains enter the X-ray inspection equipment (Area A) through the rice inlet chamber and a single-grain arrangement device. Area A is equipped with a high-speed X-ray camera that performs a full-dimensional scan of each grain at a scanning rate of 10,000 frames per second, acquiring the X-ray attenuation signal after penetrating each grain. This obtains the first X-ray scan data reflecting the internal density distribution of the rice grain, identifying whether there are hidden cracks, i.e., bursting, within each grain. Based on this first X-ray scan data, the control system generates a first stress risk map for each grain. According to the crack depth, length, and distribution characteristics reflected in the map, the rice grains are classified into three stress risk levels: low risk (no obvious internal cracks), medium risk (shallow internal cracks), and high risk (deep internal cracks).

[0123] After X-ray inspection and risk level classification, the rice enters the microwave-steam transient coupling conditioning chamber. Based on the stress risk level of the rice, the conditioning chamber initiates different processing modes to perform differentiated stress optimization treatment. For low-risk rice, the conditioning chamber activates a "light heat and slight humidification" mode: the microwave power is set to the low range of the rated power, i.e., 10% to 20%, mainly to slightly heat the internal moisture of the rice grains, controlling the core temperature at 35℃ to 38℃ to eliminate the temperature difference between the inside and outside of the grain, reducing thermal stress during subsequent hulling, without altering the starch structure; the steam spray volume is minimal, achieving 0.5% to 0.8% humidification, only wetting the rice surface to prevent the surface from becoming brittle due to frictional heat during subsequent milling; the treatment duration is 5 seconds. In this mode, the rice grains remain dry but pliable, with uniform internal moisture distribution and minimal increase in absolute moisture content, ensuring rapid hulling during subsequent milling and providing the highest processing efficiency. For rice of medium risk level, the conditioning silo activates a "medium heat and medium moisture" mode: the microwave power is set to the medium range of the rated power, i.e., 40% to 60%, utilizing the penetrating power of microwaves to preferentially heat the area near the cracks, with the center temperature controlled at 45℃ to 50℃. This causes the starch granules at the crack edges to absorb water and swell, producing a slight closing effect and reducing stress concentration points. The steam spray volume is set appropriately, achieving 1.2% to 1.5% humidification, using saturated steam to transport heat and water molecules to the surface of the rice grains and shallow cracks. The treatment duration is 15 seconds. In this mode, a gradient moisture distribution is formed inside the rice grain, with the outer layer slightly moist and the inner layer slightly soft. The stress at the shallow cracks is effectively released, and the rice grain toughness is improved, enabling it to withstand moderate pressure without cracking during subsequent milling, while maintaining sufficient hardness to remove the bran. For high-risk rice, the conditioning silo activates a "high-heat, high-pressure" mode: the microwave power is set to the high end of the rated power range, i.e., 80% to 100%, implementing high-intensity microwave heating to rapidly raise the temperature inside the rice grains, especially deep within the cracks, with the core temperature controlled at 55℃ to 60℃. This high temperature causes partial gelatinization of the internal starch, forming a viscous matrix that binds the deep cracks from the inside. The steam spray volume is increased to 2.0% to 2.5% for humidification, using instantaneous high-pressure steam pulses to forcibly force moisture into the deep cracks, utilizing the surface tension and volume expansion force of water to physically open and fill the cracks. The treatment duration is 30 seconds, ensuring sufficient time for heat and water molecules to fully penetrate the rice grain core, avoiding an uneven state of being moist on the outside and dry on the inside. Under this mode, the rice grains exhibit a highly plastic state, the stress at the deep cracks is completely released, and even a microscopic healing effect occurs. The originally highly brittle rice grains are transformed into highly resilient grains, enabling them to safely withstand subsequent milling processes.

[0124] After stress optimization, the rice grains enter area B of the X-ray inspection equipment. Area B of the X-ray inspection equipment also performs a full-dimensional scan of the optimized rice grains at a scan rate of 10,000 frames per second, acquiring second X-ray scan data for each grain to obtain image information reflecting the internal density distribution and crack repair status of the optimized rice. Based on this second X-ray scan data, the control system generates a second stress risk map for each grain and re-classifies the rice grains according to the second stress risk map, classifying them into three levels: low risk, medium risk, and high risk, providing an accurate basis for setting subsequent differentiated milling parameters.

[0125] After secondary inspection and classification, the rice enters a three-dimensional anisotropic flexible milling chamber. This chamber is equipped with SMA micro-convex units, whose surface hardness, elastic deformation characteristics, and frictional characteristics can be adjusted through temperature control. The control system activates different milling modes based on the stress risk level determined in the secondary calibration. For low-risk rice, a high-intensity, high-friction mode is activated: the SMA micro-convex units are electrically heated to a high temperature above 80°C, causing them to harden completely, resulting in a surface with a feel similar to a hard rubber pad or frosted glass; the vertical pressure is set to 100% of the standard pressure; the tangential friction force is maximized to quickly peel off the husk and bran; the milling speed is matched to high speed for high-efficiency processing; and the cooling strategy is standard air cooling to prevent overheating. In this mode, the rice grains are rapidly rubbed between the hard milling surfaces, and the bran layer is quickly removed. Since the rice grains themselves are crack-free, the high pressure does not cause breakage but instead ensures polishing effect and smoothness of the finished rice. For medium-risk rice, a medium-intensity, medium-friction mode is activated: the SMA micro-convex units heat at medium power, maintaining a temperature between 45°C and 55°C, resulting in a semi-elastic state with a surface texture similar to elastic memory foam, slightly sinking under pressure; vertical pressure is reduced to 60% to 70% of the standard pressure, and the system actively limits the maximum contact pressure to avoid crushing cracks; tangential friction is set to medium, retaining sufficient gripping force for hull removal without excessive friction; the micro-convex units allow for independent deformation strokes of 0.3mm to 0.5mm, automatically sinking to absorb impact when in contact with rice grains; an enhanced local cooling strategy is employed to quickly remove frictional heat and prevent rice grains from becoming brittle due to heat. In this mode, the rice grain contact surface is flexible, impact force is absorbed, stress at crack tips is released, and the hull removal process is gentle, avoiding secondary bursting or breakage caused by excessive pressure, resulting in a high integrity rate and uniform color of the finished rice. For high-risk grade rice, a low-intensity, low-friction mode is activated: the SMA micro-convex units are powered off and cooled to below 25°C, becoming extremely soft with a surface texture similar to soft silicone clay or gel, exhibiting almost no resilience; vertical pressure is significantly reduced to 20% to 30% of the standard pressure, applying only the minimum pressure required to maintain rice grain movement; tangential friction is set to weak friction, utilizing the spiral texture of the micro-convex units to guide the rice grains to rotate rather than through vigorous rubbing; the micro-convex units allow for large deformation strokes exceeding 1.0 mm, causing the rice grains to sink deeply into them upon contact with minimal force; temperature control employs an extremely strong cooling strategy to ensure that the rice grains do not accumulate heat during milling, maintaining their plastic state. In this mode, the rice grains are carried through the extremely soft medium to complete the hulling process with almost no feeling of compression, and stress at deep cracks is completely avoided, achieving non-destructive processing.

[0126] After milling, the control system starts the blower to blow the chaff produced during milling into the chaff bin through the chaff outlet, achieving complete separation of the chaff from the finished polished rice. Then, the blower is turned off, the rice outlet is opened, and the finished polished rice is pushed into the rice bin. The machine stops running, and the rice milling process is complete. Through this complete process of detection, optimization, re-detection, and differentiated milling, this method achieves personalized processing of paddy rice in different original states, ensuring whitening effect while reducing the broken rice rate to an extremely low level.

[0127] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0128] Based on the same inventive concept, this application also provides a rice milling control device for implementing the rice milling control method of the rice milling machine described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the rice milling control device for a rice milling machine provided below can be found in the limitations of the rice milling control method for the rice milling machine described above, and will not be repeated here.

[0129] In one embodiment, such as Figure 4 As shown, a rice milling control device for a rice milling machine is provided, comprising:

[0130] The first scanning processing module 200 is used to acquire the first X-ray scan data of the rice grains to be milled and to determine the stress risk level of each grain of rice based on the first X-ray scan data.

[0131] The stress optimization module 400 is used to perform stress optimization treatment on rice with different stress risk levels, in order to reduce the stress risk of the rice.

[0132] The second scanning processing module 600 is used to acquire the second X-ray scan data of the optimized rice grains to be milled, and to determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data.

[0133] The rice milling control module 800 is used to determine the optimized milling parameters of paddy rice to be milled for different stress risk levels, and to control the rice milling based on the determined milling parameters.

[0134] In one embodiment, the first scanning processing module 200 is further configured to acquire first X-ray scanning data of the rice grains to be milled; generate a first stress risk map for each grain based on the first X-ray scanning data; and classify each grain based on the crack risk level according to the first stress risk map to obtain the stress risk level corresponding to each grain.

[0135] In one embodiment, the first scanning processing module 200 is further configured to obtain the crack depth and crack length of each grain of rice based on the first X-ray scanning data; and generate a first stress risk map of each grain of rice based on the crack depth and crack length of each grain of rice.

[0136] In one embodiment, the stress optimization module 400 is further configured to obtain the correspondence between preset stress risk levels and microwave-steam optimization parameters; determine the microwave-steam optimization parameters for rice with different stress risk levels based on the preset stress risk levels and microwave-steam optimization parameters; and perform microwave and steam-based stress optimization processing on rice with different stress risk levels based on the determined microwave-steam optimization parameters to reduce the stress risk of the rice.

[0137] In one embodiment, the stress optimization module 400 is further configured to apply vibration at a preset frequency to the rice grains to be milled, so that the rice grains are arranged in an orderly manner; according to the stress risk level corresponding to each grain, the rice grains arranged in an orderly manner are diverted to different storage areas; different storage areas correspond to different stress risk levels; and the rice grains in different storage areas are subjected to stress optimization processing based on microwave and steam based on determined microwave-steam optimization parameters to reduce the stress risk of the rice grains.

[0138] In one embodiment, the stress risk level includes low risk (characterizing no cracks), medium risk (characterizing shallow cracks), and high risk (characterizing deep cracks); the microwave-steam optimization parameters include microwave power, steam quantity, residence time, and center temperature parameters.

[0139] In one embodiment, the rice milling control module 800 is further configured to obtain the correspondence between preset risk levels and milling parameters; determine the optimized milling parameters of rice to be milled for different stress risk levels based on the correspondence between preset risk levels and milling parameters; and perform rice milling control based on the determined milling parameters.

[0140] The various modules in the rice milling control device of the aforementioned rice milling machine can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0141] In addition, this application also provides a rice milling machine, including a rice milling machine body and a controller, wherein the controller uses the above-mentioned rice milling control method to control the rice milling machine body to perform rice milling operations.

[0142] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a rice milling control method for a rice milling machine. The display screen can be an LCD screen or an e-ink display screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0143] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0144] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the rice milling control method of the rice milling machine described above.

[0145] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the rice milling control method of the rice milling machine described above.

[0146] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the rice milling control method of the rice milling machine described above.

[0147] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0148] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0149] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A rice milling control method for a rice milling machine, characterized in that, The method includes: Obtain the first X-ray scan data of the rice grains to be milled, and determine the stress risk level of each grain of rice based on the first X-ray scan data; Stress optimization treatments were performed on rice grains with different stress risk levels to reduce the stress risk of the rice grains. Obtain the second X-ray scan data of the optimized rice grains to be milled, and determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data; Determine the optimized milling parameters for paddy rice to be milled at different stress risk levels, and control the rice milling process based on the determined milling parameters; The process of obtaining the first X-ray scan data of the rice grains to be milled and determining the stress risk level of each grain based on the first X-ray scan data includes: obtaining the first X-ray scan data of the rice grains to be milled; generating a first stress risk map for each grain based on the first X-ray scan data; and classifying each grain based on the crack risk level according to the first stress risk map to obtain the stress risk level corresponding to each grain. The classification process is based on a preset classification rule, and the preset classification rule corresponds to the classification criteria including crack depth and crack length.

2. The method according to claim 1, characterized in that, The process of generating a first stress risk map for each grain of rice based on the first X-ray scan data includes: Based on the first X-ray scan data, the crack depth and crack length of each grain of rice are obtained; Based on the crack depth and crack length of each grain of rice, a first stress risk map is generated for each grain of rice.

3. The method according to claim 1, characterized in that, The process of performing stress optimization treatments corresponding to different stress risk levels on rice to reduce stress risk includes: Obtain the correspondence between preset stress risk levels and microwave-steam optimization parameters; Based on the preset relationship between stress risk level and microwave-steam optimization parameters, microwave-steam optimization parameters for rice with different stress risk levels are determined. Based on the determined microwave-steam optimization parameters, stress optimization treatment based on microwave and steam was carried out on rice with different stress risk levels to reduce the stress risk of rice.

4. The method according to claim 3, characterized in that, The method of performing microwave and steam-based stress optimization treatment on rice with different stress risk levels based on determined microwave-steam optimization parameters to reduce the stress risk of rice includes: Vibration at a preset frequency is applied to the rice grains to be milled, so that the individual grains of rice are arranged in an orderly manner. Based on the stress risk level corresponding to each grain of rice, the rice grains to be milled are divided into different storage areas according to the orderly arrangement of individual grains; different storage areas correspond to different stress risk levels. Based on the determined microwave-steam optimization parameters, stress optimization treatment based on microwave and steam was carried out on rice in different storage areas to reduce the stress risk of rice.

5. The method according to claim 3, characterized in that, The stress risk level includes low risk (characterizing no cracks), medium risk (characterizing shallow cracks), and high risk (characterizing deep cracks); the microwave-steam optimization parameters include microwave power, steam quantity, residence time, and center temperature parameters.

6. The method according to claim 1, characterized in that, The process of determining optimized milling parameters for paddy rice at different stress risk levels and controlling the rice milling process based on these parameters includes: Obtain the correspondence between preset risk levels and grinding parameters; Based on the preset risk level and the correspondence between milling parameters, the optimized milling parameters for rice paddies to be milled are determined for different stress risk levels. Rice milling is controlled based on determined milling parameters.

7. A rice milling control device for a rice milling machine, characterized in that, The device includes: The first scanning processing module is used to acquire the first X-ray scan data of the rice grains to be milled and to determine the stress risk level of each grain of rice based on the first X-ray scan data. The stress optimization module is used to perform stress optimization processing on rice with different stress risk levels, in order to reduce the stress risk of the rice. The second scanning processing module is used to acquire the second X-ray scan data of the optimized rice grains to be milled, and to determine the stress risk level of each grain of rice after optimization based on the second X-ray scan data. The rice milling control module is used to determine the optimized milling parameters of paddy rice to be milled for different stress risk levels, and to control the rice milling based on the determined milling parameters. The first scanning processing module is also used to acquire the first X-ray scanning data of the rice grains to be milled; based on the first X-ray scanning data, generate the first stress risk map of each grain of rice; classify each grain of rice according to the crack risk level based on the first stress risk map to obtain the stress risk level corresponding to each grain of rice. The classification process is based on a preset classification rule, and the preset classification rule corresponds to the classification criteria including crack depth and crack length.

8. The apparatus according to claim 7, characterized in that, The first scanning processing module is also used to obtain the crack depth and crack length of each grain of rice based on the first X-ray scanning data; and to generate a first stress risk map of each grain of rice based on the crack depth and crack length of each grain of rice.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

10. A rice milling machine, characterized in that, The invention includes a rice milling machine body and a controller, wherein the controller controls the rice milling machine body to perform rice milling operations using the method described in any one of claims 1 to 6.

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