Rice milling machine and its operation control methods, devices, equipment and media
By acquiring the amount, flow rate, and height of rice grains, and using the principles of grain fluid dynamics to determine the characteristic coefficients of rice grains, and combining this with the density calibration constant to calculate the feeding time of rice grains, the problem of quantitative rice output in household rice milling machines has been solved. This enables precise control over different types of rice, improving the user experience and efficiency of rice milling machines.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GREE ELECTRIC APPLIANCE INC OF ZHUHAI
- Filing Date
- 2025-12-29
- Publication Date
- 2026-05-26
Smart Images
Figure CN122085756A_ABST
Abstract
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 operation control method, device, computer equipment, storage medium and computer program product. Background Technology
[0002] As living standards improve, consumers are demanding higher quality rice, desiring fresh and nutritious dishes. Commercially available polished rice loses a significant amount of nutrients during processing and storage. Freshly milled rice not only better preserves the germ's nutrients and original aroma but also avoids contamination during distribution, going directly from paddy to fresh rice, thus satisfying consumers' pursuit of healthy eating. However, most rice milling products currently on the market come from small workshops, raising concerns about food safety and milling quality. Furthermore, commercial rice milling machines are expensive and complex to operate, making them unsuitable for home use. Against this backdrop, home rice milling machines have emerged.
[0003] The current technology in the household rice milling machine industry is still underdeveloped, with significant shortcomings in operational control. Currently, most machines in the industry cannot achieve quantitative rice output; users must manually control the amount of rice milled based on their own experience. This method not only lacks precision but also makes it difficult for inexperienced users to accurately control the output, resulting in a poor user experience.
[0004] Because household rice milling machines cannot automatically control the amount of rice milled, the entire rice milling process may not meet the diverse needs of users and cannot bring them convenience. Summary of the Invention
[0005] Therefore, it is necessary to provide a rice milling machine and its operation control method, device, computer equipment, storage medium and computer program products that can meet the diverse needs of users, in order to address the above-mentioned technical problems.
[0006] Firstly, this application provides a method for controlling the operation of a rice milling machine. The method includes:
[0007] The target amount of rice, the flow rate of rice from the rice bin into the milling bin, and the height of rice in the rice bin are obtained.
[0008] Based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the grain characteristic coefficients of rice are determined; the grain characteristic coefficients are related to the friction coefficient of the rice itself.
[0009] Based on the rice seed characteristic coefficient, determine the rice species in the current rice silo and obtain the rice seed density calibration constant corresponding to the rice species;
[0010] The rice feeding time in the milling bin is determined based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0011] The rice feeding operation in the rice milling bin is controlled based on the rice feeding time in the rice milling bin.
[0012] In one embodiment, obtaining the target amount of rice includes:
[0013] Respond to the rice output quantity setting operation and obtain the set target rice output quantity;
[0014] The target amount of rice is obtained based on the target rice yield and the preset rice yield rate.
[0015] In one embodiment, based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the rice variety characteristic coefficients are determined as follows:
[0016] Based on the principles of grain fluid dynamics, the functional relationship between rice flow velocity, rice height, and grain characteristic coefficients was obtained.
[0017] Based on the rice flow velocity, rice height, and functional relationship, the rice variety characteristic coefficients are determined.
[0018] In one embodiment, determining the type of rice in the current rice silo and obtaining the corresponding rice density calibration constant based on the rice seed characteristic coefficient includes:
[0019] Compare the grain variety characteristic coefficients with the preset threshold values for the first, second, and third grain varieties characteristic coefficients; the preset threshold values for the first, second, and third grain varieties characteristic coefficients increase sequentially.
[0020] If the characteristic coefficient of the rice variety is not less than the preset threshold of the characteristic coefficient of the third rice variety, then the rice variety is determined to be Silky Rice.
[0021] If the characteristic coefficient of the rice variety is less than the preset third characteristic coefficient threshold and not less than the preset second characteristic coefficient threshold, then the rice variety is determined to be long grain rice.
[0022] If the characteristic coefficient of the rice variety is less than the preset second rice variety characteristic coefficient threshold and not less than the preset first rice variety characteristic coefficient threshold, then the rice variety is determined to be round grain rice.
[0023] Obtain the seed density calibration constant corresponding to the rice variety.
[0024] In one embodiment, before obtaining the rice seed density calibration constant corresponding to the rice variety, the method further includes:
[0025] Obtain density data for different grain varieties;
[0026] Based on density data of different grain varieties, the corresponding grain density calibration constants are determined.
[0027] In one embodiment, the above-mentioned rice milling machine operation control method further includes:
[0028] Obtain the rice milling parameters corresponding to different grain types;
[0029] Based on the milling parameters corresponding to different grain types and the determined rice varieties, the target milling parameters are obtained;
[0030] Control of rice milling operations in the rice milling silo based on target rice milling parameters.
[0031] In one embodiment, the rice milling parameters include the milling roller speed and the rice milling time;
[0032] Based on the milling parameters corresponding to different rice varieties and the determined rice type, the target milling parameters are as follows:
[0033] If the rice variety is determined to be silky rice, then the milling speed is determined to be 500~550 rpm and the milling time is 8~12 seconds per 100 grams of rice.
[0034] If the rice variety is determined to be long grain, then the milling speed is determined to be 500~600 rpm and the milling time is 10~15 seconds per 100 grams of rice.
[0035] If the rice variety is round-grain rice, then the milling speed should be 600-650 rpm and the milling time should be 15-20 seconds per 100 grams of rice.
[0036] Secondly, this application also provides a rice milling machine operation control device. The device includes:
[0037] The parameter acquisition module is used to acquire the target amount of rice, the flow rate of rice from the rice bin to the milling bin in the rice milling machine, and the height of rice in the rice bin;
[0038] The grain seed characteristic analysis module is used to determine the grain seed characteristic coefficient of rice based on the principles of grain fluid dynamics, rice flow velocity, and rice height; the grain seed characteristic coefficient is related to the friction coefficient of the rice itself;
[0039] The calibration module is used to determine the type of rice in the current rice bin based on the rice seed characteristic coefficient, and to obtain the rice seed density calibration constant corresponding to the rice seed type.
[0040] The rice feeding time determination module is used to determine the rice feeding time in the rice milling bin based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0041] The control module is used to control the rice feeding operation in the rice milling bin based on the rice feeding time.
[0042] Thirdly, this application also provides a rice milling machine, including a rice milling machine body and a controller, wherein the controller uses the above-described method to control the operation of the rice milling machine body.
[0043] Fourthly, 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:
[0044] The target amount of rice, the flow rate of rice from the rice bin into the milling bin, and the height of rice in the rice bin are obtained.
[0045] Based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the grain characteristic coefficients of rice are determined; the grain characteristic coefficients are related to the friction coefficient of the rice itself.
[0046] Based on the rice seed characteristic coefficient, determine the rice species in the current rice silo and obtain the rice seed density calibration constant corresponding to the rice species;
[0047] The rice feeding time in the milling bin is determined based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0048] The rice feeding operation in the rice milling bin is controlled based on the rice feeding time in the rice milling bin.
[0049] Fifthly, 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:
[0050] The target amount of rice, the flow rate of rice from the rice bin into the milling bin, and the height of rice in the rice bin are obtained.
[0051] Based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the grain characteristic coefficients of rice are determined; the grain characteristic coefficients are related to the friction coefficient of the rice itself.
[0052] Based on the rice seed characteristic coefficient, determine the rice species in the current rice silo and obtain the rice seed density calibration constant corresponding to the rice species;
[0053] The rice feeding time in the milling bin is determined based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0054] The rice feeding operation in the rice milling bin is controlled based on the rice feeding time in the rice milling bin.
[0055] Sixthly, 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:
[0056] The target amount of rice, the flow rate of rice from the rice bin into the milling bin, and the height of rice in the rice bin are obtained.
[0057] Based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the grain characteristic coefficients of rice are determined; the grain characteristic coefficients are related to the friction coefficient of the rice itself.
[0058] Based on the rice seed characteristic coefficient, determine the rice species in the current rice silo and obtain the rice seed density calibration constant corresponding to the rice species;
[0059] The rice feeding time in the milling bin is determined based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0060] The rice feeding operation in the rice milling bin is controlled based on the rice feeding time in the rice milling bin.
[0061] The aforementioned rice milling machine and its operation control method, device, computer equipment, storage medium, and computer program products firstly acquire the target amount of paddy rice, paddy rice flow rate, and paddy rice height, and determine the rice variety characteristic coefficient based on the principles of grain fluid dynamics. This coefficient is related to the friction coefficient of the paddy rice itself and can accurately reflect the characteristics of different types of paddy rice, laying the foundation for accurate identification of the paddy rice variety. Secondly, the paddy rice variety is determined based on the rice variety characteristic coefficient, and the corresponding paddy rice density calibration constant is obtained. Combined with the target amount of paddy rice and paddy rice flow rate, the paddy rice feeding time in the milling bin is determined. This method of determining the feeding time by comprehensively considering multiple factors can effectively avoid errors in the amount of paddy rice fed due to different types of paddy rice. Finally, the paddy rice feeding operation is controlled based on the determined feeding time in the milling bin, achieving accurate quantitative rice output and fully meeting the diverse rice milling needs of users for different types of paddy rice. Attached Figure Description
[0062] Figure 1 This is an application environment diagram of the rice milling machine operation control method in one embodiment;
[0063] Figure 2 This is a flowchart illustrating the operation control method of a rice milling machine in one embodiment;
[0064] Figure 3 This is a schematic diagram of a sub-process of step S300 in one embodiment;
[0065] Figure 4 This is a structural block diagram of the rice milling machine operation control device in one embodiment;
[0066] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0067] 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.
[0068] The rice milling machine operation control method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, the rice milling machine includes a rice milling machine body 102 and a controller 104. The rice milling machine body 102 specifically includes a paddy silo, a rice milling silo, a rice milling assembly (worm gear rice milling assembly), and a paddy silo valve. The controller is connected to the paddy silo valve and the rice milling assembly. Figure 1 (Specific connection lines are not shown). Controller 104 controls the operation of the entire rice milling machine body 102. Specifically, controller 104 determines the rice variety characteristic coefficient based on the principles of grain fluid dynamics, rice flow velocity, and rice height; the rice variety characteristic coefficient is related to the friction coefficient of the rice itself; based on the rice variety characteristic coefficient, it determines the type of rice in the current rice bin and obtains the corresponding rice density calibration constant; based on the target rice quantity, rice flow velocity, and rice density calibration constant, it determines the rice feeding time in the rice milling bin; and it controls the rice feeding operation in the rice milling bin based on the rice feeding time. Specifically, the controller can control the opening of the rice bin valve based on the processed rice feeding time. For example, if the processed current rice feeding time is 20 seconds, the controller controls the rice bin valve to open for 20 seconds and then close, thereby achieving precise quantitative rice feeding and quantitative rice output.
[0069] In one embodiment, such as Figure 2 As shown, a method for controlling the operation of a rice milling machine is provided, which is applied to... Figure 1 Taking controller 104 as an example, the following steps are included:
[0070] S100: Obtain the target amount of rice, the flow rate of rice from the rice bin into the rice milling bin, and the height of the rice in the rice bin.
[0071] The target paddy yield refers to the amount of paddy rice the user expects to produce at the final output of the rice mill. This parameter can be input by the user into the controller via the operating interface. For example, if the user sets the final output to 1 kg on the rice mill's control panel, and using a standard 70% yield, the target paddy yield is 1.43 kg. The paddy flow rate can be obtained by installing a flow sensor in the channel between the paddy silo and the milling silo. The flow sensor monitors the flow speed of the paddy rice in the channel in real time and transmits the detected signal to the controller. The height of the paddy rice in the silo can be measured by installing a height sensor inside the silo. The height sensor can be an ultrasonic sensor or a laser sensor, etc. These sensors emit specific signals and receive reflected signals, calculating the height of the paddy rice in the silo based on the signal propagation time or reflection intensity. For example, an ultrasonic sensor can be used.
[0072] S200: Based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the grain characteristic coefficient of rice is determined; the grain characteristic coefficient is related to the friction coefficient of the rice itself.
[0073] Here, the "grain fluid dynamics principle" is specifically based on the "Bates funnel outflow theory" of grain fluid dynamics (the outflow velocity of granular fluid is positively correlated with potential energy and frictional resistance). The relevant content will be explained in detail below. In the field of grain fluid dynamics, the "Bates funnel outflow theory" states that the outflow velocity of granular fluid is positively correlated with the potential energy of the particles and the frictional resistance encountered during the flow. Here, this theory is used to determine the characteristic coefficients of rice varieties. First, let's analyze the potential energy of rice from an energy perspective. Rice in a silo possesses a certain gravitational potential energy due to its own weight, and the height of the rice is one of the key factors in measuring the magnitude of this potential energy. The higher the height of the rice, the greater the gravitational potential energy at its location. According to the "Bates funnel outflow theory," higher gravitational potential energy will cause the rice to have a stronger downward flow tendency, thus affecting the outflow velocity of the rice. For example, when the rice is piled high in the silo, the rice tends to flow downwards more quickly under the influence of gravity, and its potential outflow velocity will be relatively large. Secondly, the frictional resistance during the flow of rice is considered. During the flow of rice from the paddy silo into the milling silo, it is subject to various frictional resistances. These resistances mainly originate from the collisions between rice grains, the friction between the rice and the silo walls and the channel walls, etc. The coefficient of friction of the rice itself is a crucial parameter determining the magnitude of these frictional resistances. Different types of rice have different characteristics such as grain shape and surface roughness, leading to varying coefficients of friction. For example, rice grains with rough surfaces experience greater friction and a relatively higher coefficient of friction, while rice grains with smooth surfaces experience less friction and a relatively lower coefficient of friction. In this step, the controller uses the acquired rice flow velocity and height data, combined with the "Bates funnel outflow theory," for comprehensive analysis. Specifically, the controller uses a pre-set algorithm model (representing the conversion function relationship) to input the gravitational potential energy information represented by the rice height and the real-time data of the rice flow velocity into the model. During the model calculation, the relationship between the frictional resistance experienced by the rice during flow and the coefficient of friction of the rice itself is fully considered. Since the coefficient of friction is difficult to measure directly, a parameter that comprehensively reflects the flow characteristics of rice—the rice seed characteristic coefficient—is estimated through reverse derivation based on known rice flow velocity and height, combined with a theoretical model. This rice seed characteristic coefficient is actually a dimensionless parameter that integrates the effects of gravitational potential energy and frictional resistance on the rice. It is closely related to the friction coefficient of the rice itself and can characterize the ease or difficulty of rice flow to a certain extent. For example, a larger calculated rice seed characteristic coefficient indicates greater resistance to the flow of rice, possibly due to a higher friction coefficient; conversely, a smaller rice seed characteristic coefficient indicates relatively smooth flow and less frictional resistance.
[0074] S300: Based on the rice seed characteristic coefficient, determine the rice type in the current rice bin and obtain the rice seed density calibration constant corresponding to the rice type.
[0075] The controller pre-stores the range of rice characteristic coefficients and corresponding rice density calibration constants for different rice varieties. The controller compares the calculated rice characteristic coefficients with the pre-stored data, determining the rice variety in the current rice bin by identifying which range the coefficient falls within. For example, the controller can pre-store the range of rice characteristic coefficients for round-grain rice, long-grain rice, and silky rice. After determining the rice variety, the controller retrieves the corresponding rice density calibration constant from the stored data. The rice density calibration constant is a parameter used to correct the calculated rice density. Different rice varieties have different densities due to differences in grain size, shape, internal structure, etc. Introducing the rice density calibration constant allows for more accurate calculation of rice density, thereby improving the accuracy of subsequent control.
[0076] S400: Determine the rice feeding time in the rice milling bin based on the target rice quantity, rice flow velocity, and rice seed density calibration constant.
[0077] The controller determines the rice-entry time into the milling bin using a specific formula based on the target rice quantity, rice flow velocity, and rice seed density calibration constant. The target rice quantity determines the total amount of rice that needs to enter the milling bin; the rice flow velocity reflects the amount of rice entering the milling bin per unit time; and the rice seed density calibration constant is used to correct for the density of the rice, thus more accurately calculating the weight of the rice. Through the comprehensive calculation of these three parameters, the time required for all rice meeting the target quantity to enter the milling bin can be determined, i.e., the rice-entry time into the milling bin. Assume the target rice quantity is M. target The rice discharge rate r is directly proportional to the rice flow velocity v. Where k is the rice seed density calibration constant, which is determined based on the density of different rice seeds (since different rice seeds have different densities and therefore different weights for the same volume). The rice milling bin loading time is determined by the following formula:
[0078]
[0079] The rice feeding time calculated using this formula ensures that the amount of rice entering the rice milling bin exactly meets the target rice quantity (target rice output) requirement.
[0080] S500: Controls the rice feeding operation in the rice milling bin based on the rice feeding time in the rice milling bin.
[0081] In this step, the controller sends control signals to the rice feeding control device (such as a solenoid valve or motor) between the rice silo and the milling bin, based on the calculated rice feeding time. This controls the opening and closing time of the feeding device, thereby controlling the rice feeding operation in the milling bin. For example, when the calculated rice feeding time is t seconds, the controller keeps the feeding device open for t seconds, allowing the rice to enter the milling bin at a set flow rate. After t seconds, the controller closes the feeding device, stopping the feeding. This precise control method ensures that the amount of rice entering the milling bin is accurate, thus improving the operating efficiency and output quality of the rice milling machine.
[0082] The aforementioned rice milling machine operation control method first obtains the target amount of paddy rice, paddy rice flow rate, and paddy rice height, and determines the rice variety characteristic coefficient based on the principles of grain fluid dynamics. This coefficient is related to the friction coefficient of the paddy rice itself and can accurately reflect the characteristics of different types of paddy rice, laying the foundation for accurate identification of the paddy rice variety. Second, the paddy rice variety is determined based on the rice variety characteristic coefficient, and the corresponding paddy rice density calibration constant is obtained. Combined with the target amount of paddy rice and paddy rice flow rate, the paddy rice feeding time in the milling bin is determined. This method of determining the feeding time by comprehensively considering multiple factors can effectively avoid errors in the amount of paddy rice fed due to different types of paddy rice. Finally, the paddy rice feeding operation is controlled based on the determined feeding time in the milling bin, achieving accurate quantitative rice output and fully meeting the diverse rice milling needs of users for different types of paddy rice.
[0083] In one embodiment, obtaining the target amount of rice includes:
[0084] Step 1: Respond to the rice output setting operation and obtain the set target rice output.
[0085] The rice milling machine is equipped with a user interface that receives user input commands to set the rice output quantity. These commands can be generated through various methods, including touchscreen input, button input, or remote input via wireless connection to external devices (such as mobile apps or smart control terminals). When the user sets the rice output quantity, the rice milling machine's controller monitors and responds quickly in real time. Upon receiving the command, the controller retrieves the target rice output quantity set by the user from the corresponding data storage area or through direct communication with the user interface. This value represents the user's desired final mass of (polished) rice, typically expressed in kilograms (kg).
[0086] Step 2: Obtain the target amount of rice based on the target rice yield and the preset rice yield rate.
[0087] The preset rice yield is a parameter pre-stored in the controller, reflecting the ratio of paddy rice to (polished) rice under certain milling conditions. The rice yield is affected by various factors, such as the variety, quality, and moisture content of the paddy rice, as well as the performance of the milling equipment and the milling process parameters. In practical applications, a relatively reasonable preset rice yield can be set through statistical analysis of extensive experimental data or by referring to industry experience values. For example, for a common high-quality paddy rice, under a specific milling process, the preset rice yield might be set to 70%, meaning that 10 kg of paddy rice can yield 7 kg of polished rice after milling.
[0088] In one embodiment, based on the principles of grain fluid dynamics, rice flow velocity, and rice height, the rice variety characteristic coefficients are determined as follows:
[0089] Step 1: Based on the principles of grain fluid dynamics, obtain the functional relationship between rice flow velocity, rice height, and grain characteristic coefficients.
[0090] This step is based on the "Bates Funnel Outflow Theory" of grain fluid dynamics. This theory states that the outflow velocity of particulate fluids (such as rice) is positively correlated with the potential energy of the particles and the frictional resistance encountered during flow. During the process of rice flowing from the granary into the milling silo, the height (h) of the rice reflects its gravitational potential energy. The rice experiences various frictional resistances during flow, including friction between rice particles and friction between the rice and the silo walls. These frictional resistances are closely related to the coefficient of friction of the rice itself. Specifically, the following functional relationship can be constructed:
[0091]
[0092] In the above formula, K is the grain-specific velocity-height characteristic coefficient (unit: s⁻¹, determined solely by the grain friction coefficient, and is the core indicator for distinguishing varieties); h is the height of the stored grain in the granary (m); and v is the outflow velocity of the paddy rice (m / s).
[0093] Step 2: Determine the rice variety characteristic coefficients based on the rice flow velocity, rice height, and functional relationship.
[0094] After receiving the measurement data of rice flow velocity v and rice height h, the controller substitutes them into the functional relationship established in step 1. The rice variety characteristic coefficient K can be calculated by transforming and solving this formula.
[0095] In one embodiment, such as Figure 3 As shown, based on the rice seed characteristic coefficient, the rice species in the current rice silo are determined, and the corresponding rice seed density calibration constant is obtained, including:
[0096] S320: Compare the seed rice characteristic coefficient with the preset first seed rice characteristic coefficient threshold, the preset second seed rice characteristic coefficient threshold, and the preset third seed rice characteristic coefficient threshold; the preset first seed rice characteristic coefficient threshold, the preset second seed rice characteristic coefficient threshold, and the preset third seed rice characteristic coefficient threshold increase in sequence.
[0097] The three preset seed rice characteristic coefficient thresholds (preset first seed rice characteristic coefficient threshold K1, preset second seed rice characteristic coefficient threshold K2, preset third seed rice characteristic coefficient threshold K3) are obtained through a large number of experiments. For different types of paddy rice, due to the differences in factors such as grain shape, size, and surface friction characteristics, the seed rice characteristic coefficient K shown during the flowing process is also different. By statistically analyzing the distribution range of the seed rice characteristic coefficient of different types of paddy rice through experiments, the thresholds that can accurately distinguish different seed rice are determined. For example, for round-grained paddy rice, its seed rice characteristic coefficient K usually fluctuates within a certain range. Through experiments, the lower limit of this range is determined as K1 and the upper limit is K2; for long-grained paddy rice, the lower limit of the K value range is K2 and the upper limit is K3; for Simaoxiang paddy rice, the K value is not less than K3.
[0098] S342: If the seed rice characteristic coefficient is not less than the preset third seed rice characteristic coefficient threshold, determine that the type of paddy rice is Simaoxiang paddy rice.
[0099] When after the comparison in step S320, it is found that the seed rice characteristic coefficient K satisfies K≥K3, this judgment condition is triggered. This is based on the characteristic of the seed rice characteristic coefficient of Simaoxiang paddy rice measured through experiments, that is, the seed rice characteristic coefficient of Simaoxiang paddy rice is usually larger and not less than the preset third seed rice characteristic coefficient threshold K3.
[0100] S344: If the seed rice characteristic coefficient is less than the preset third seed rice characteristic coefficient threshold and not less than the preset second seed rice characteristic coefficient threshold, determine that the type of paddy rice is long-grained paddy rice.
[0101] When the seed rice characteristic coefficient K satisfies K2≤K<K3, this judgment condition is triggered. This is set according to the distribution range of the seed rice characteristic coefficient of long-grained paddy rice measured through experiments. The seed rice characteristic coefficient of long-grained paddy rice is between the preset second seed rice characteristic coefficient threshold K2 and the preset third seed rice characteristic coefficient threshold K3.
[0102] S346: If the seed rice characteristic coefficient is less than the preset second seed rice characteristic coefficient threshold and not less than the preset first seed rice characteristic coefficient threshold, determine that the type of paddy rice is round-grained paddy rice.
[0103] When the seed rice characteristic coefficient K satisfies K1≤K<K2, this judgment condition is triggered. This is set based on the distribution range of the seed rice characteristic coefficient of round-grained paddy rice measured through experiments. The seed rice characteristic coefficient of round-grained paddy rice is between the preset first seed rice characteristic coefficient threshold K1 and the preset second seed rice characteristic coefficient threshold K2.
[0104] S360: Obtain the seed density calibration constant corresponding to the rice variety.
[0105] The controller pre-stores the correspondence between different rice varieties and their density calibration constants. This correspondence was obtained through extensive experiments and data analysis. Different rice varieties, due to differences in grain structure, density, and other factors, require different density calibration constants during the milling process to ensure the stability of rice quality. For example, silky rice, long-grain rice, and round-grain rice each correspond to different density calibration constants. In a specific application example, K1=0.5, K2=0.7, and K3=0.9. The density calibration constant for round-grain rice is k1=0.95; for long-grain rice, k2=0.90; and for silky rice, k3=0.88.
[0106] In specific application examples, the friction coefficients and actual calculated rice delivery times for round-grain rice, long-grain rice, and silky rice are shown in Table 1 below.
[0107] Table 1 shows the friction coefficients and rice loading times for round-grain rice, long-grain rice, and silky rice.
[0108]
[0109] In one embodiment, before obtaining the rice seed density calibration constant corresponding to the rice variety, the method further includes:
[0110] Step 1: Obtain density data for different grain varieties.
[0111] Here, specialized grain density measuring equipment can be used to obtain density data for different grain varieties. Obtaining density data for different grain varieties is the foundation for subsequently determining the grain density calibration constant. Only by accurately understanding the actual density of different grain varieties can we further analyze their relationship with rice milling process parameters, providing a reliable basis for determining reasonable grain density calibration constants.
[0112] Step 2: Based on the density data of different grain varieties, determine the grain density calibration constants corresponding to different grain varieties.
[0113] Based on the density data of different grain varieties obtained in step 1, further analysis is conducted to determine the grain density calibration constants corresponding to different grain varieties. Specifically, 1 can be used as a baseline value, and the density differences between different grain varieties can be considered to determine the grain density calibration constants corresponding to different grain varieties.
[0114] In one embodiment, the above-mentioned rice milling machine operation control method further includes:
[0115] Step 1: Obtain the rice milling parameters corresponding to different grain varieties.
[0116] Extensive experimental research and long-term accumulation of production practice data were used to obtain milling parameters corresponding to different grain varieties. In terms of experimental research, different milling process conditions were set up in a laboratory environment for different grain varieties (such as common round-grain, long-grain, and silky millet), including milling roller speed and milling time. The milled rice was then subjected to quality testing, with indicators covering head rice yield, breakage rate, and hulling rate. Based on the test results of different grain varieties under different process conditions, a set of process parameters that achieves the optimal milling quality for each grain variety was selected as its corresponding milling parameters.
[0117] Step 2: Obtain the target rice milling parameters based on the rice milling parameters corresponding to different rice varieties and the determined rice type.
[0118] Once the rice variety is determined, the controller queries and matches it against the database. The matching process involves comparing the determined rice variety with the rice variety names or numbers stored in the database to find the corresponding milling parameters.
[0119] Step 3: Control the rice milling operation in the rice milling silo based on the target rice milling parameters.
[0120] Based on the obtained target rice milling parameters, corresponding control commands are generated. For example, based on the target milling roller speed value, a command is generated to control the motor speed, so that the motor drives the milling roller to rotate at the set speed; based on the target rice milling time value, a command is generated to control the rice feeding and discharging mechanisms, thereby controlling the residence time of the rice seed in the rice milling bin.
[0121] In one embodiment, the rice milling parameters include the milling roller speed and the milling time; based on the milling parameters corresponding to different rice varieties and the determined rice type, the target rice milling parameters are obtained as follows:
[0122] Step 1: If the rice variety is determined to be Siliao rice, then determine the milling speed to be 500~550 rpm and the milling time to be 8~12 seconds per 100 grams of rice.
[0123] Step 2: If the rice variety is long grain, then set the milling speed to 500-600 rpm and the milling time to 10-15 seconds per 100 grams of rice.
[0124] Step 3: If the rice variety is round grain, then set the milling speed to 600-650 rpm and the milling time to 15-20 seconds per 100 grams of rice.
[0125] In-depth research revealed that, in terms of physical properties, paddy rice has the thinnest and most fragile outer layer, making it easy to hull, followed by long-grain rice, while round-grain rice has the thickest, least fragile, and most difficult-to-hull outer layer. Therefore, during rice milling, the milling roller (worm gear) speed is lowest for paddy rice and highest for round-grain rice; conversely, a higher speed will result in a higher broken rice rate for paddy rice and a lower hulling rate for round-grain rice. Furthermore, under the same rice variety, the initial milling stage involves paddy rice, requiring greater force, hence the speed is set at the upper limit; the final stage involves rice, requiring less force, hence the speed is set at the lower limit. Thus, there are upper and lower limit parameters for the milling speed.
[0126] In specific application examples, taking round-grain rice, long-grain rice, and silky rice as examples, the optimal range of their corresponding milling parameters is shown in Table 2 below.
[0127] Table 2 shows the optimal range of milling parameters for round-grain rice, long-grain rice, and silky rice.
[0128]
[0129] For example, if the user selects round-grain rice and a weight of 1 kg, then the milling roller speed is controlled at 600–650 rpm, and the milling time is controlled at 150–200 seconds. The upper and lower limits of the milling roller speed range are negatively correlated with the upper and lower limits of the milling time range; that is, the higher the milling roller speed, the shorter the milling time. Let the real-time milling roller speed be R, with an upper limit of a and a lower limit of b; let the milling time per 100g of rice be t, with an upper limit of c and a lower limit of d; when R = a (upper limit of speed), t = d (lower limit of time); when R = b (lower limit of speed), t = c (upper limit of time), then the formula relating the milling time t per 100g of rice to the milling roller speed R is:
[0130]
[0131] Under the control of the controller, the rice milling machine will perform the rice milling cycle according to the above-mentioned optimal rice milling parameters. Finally, when the rice milling time is up, the rice hopper valve will open, and the milled rice will enter the rice box from the circulating rice hopper. The user can then take out the rice from the rice box for cooking, and the entire rice milling process will be completed.
[0132] In the above specific application examples, the rice milling machine operation control method of this application also studies the characteristics of different types of rice. For different characteristics such as hardness and shape of different types of rice, different parameters such as rice milling time and rice milling speed are used to adapt to achieve adaptive dehulling, which solves the problem that the existing technology uses fixed parameters to mill rice, and when there are different types of rice, the broken rice rate is high and the dehulling rate is low.
[0133] 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.
[0134] Based on the same inventive concept, this application also provides a rice milling machine operation control device for implementing the rice milling machine operation control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the rice milling machine operation control device provided below can be found in the limitations of the rice milling machine operation control method described above, and will not be repeated here.
[0135] In one embodiment, such as Figure 4 As shown, a rice milling machine operation control device is provided, comprising:
[0136] The parameter acquisition module 100 is used to acquire the target amount of rice, the flow rate of rice from the rice bin to the milling bin in the rice milling machine, and the height of rice in the rice bin;
[0137] The grain seed characteristic analysis module 200 is used to determine the grain seed characteristic coefficient of rice based on the principles of grain fluid dynamics, rice flow velocity, and rice height; the grain seed characteristic coefficient is related to the friction coefficient of the rice itself.
[0138] The calibration module 300 is used to determine the type of rice in the current rice bin based on the rice seed characteristic coefficient, and to obtain the rice seed density calibration constant corresponding to the rice seed type.
[0139] The rice feeding time determination module 400 is used to determine the rice feeding time in the rice milling bin based on the target amount of rice, rice flow velocity, and rice seed density calibration constant.
[0140] The control module 500 is used to control the rice feeding operation in the rice milling bin based on the rice feeding time in the rice milling bin.
[0141] In one embodiment, the parameter acquisition module 100 is further configured to respond to the rice output setting operation, acquire the set target rice output, and acquire the target rice output based on the target rice output and the preset rice output rate.
[0142] In one embodiment, the rice seed characteristic analysis module 200 is also used to obtain the functional relationship between rice flow velocity, rice height and rice seed characteristic coefficient based on the principle of grain fluid dynamics; and to determine the rice seed characteristic coefficient based on the rice flow velocity, rice height and functional relationship.
[0143] In one embodiment, the calibration module 300 is further configured to compare the grain characteristic coefficient with preset first grain characteristic coefficient threshold, preset second grain characteristic coefficient threshold, and preset third grain characteristic coefficient threshold; the preset first grain characteristic coefficient threshold, preset second grain characteristic coefficient threshold, and preset third grain characteristic coefficient threshold increase sequentially; if the grain characteristic coefficient is not less than the preset third grain characteristic coefficient threshold, the rice type is determined to be silky rice; if the grain characteristic coefficient is less than the preset third grain characteristic coefficient threshold and not less than the preset second grain characteristic coefficient threshold, the rice type is determined to be long-grain rice; if the grain characteristic coefficient is less than the preset second grain characteristic coefficient threshold and not less than the preset first grain characteristic coefficient threshold, the rice type is determined to be round-grain rice; and obtain the grain density calibration constant corresponding to the rice type.
[0144] In one embodiment, the calibration module 300 is further configured to acquire density data of different grain varieties; and based on the density data of different grain varieties, determine the grain density calibration constant corresponding to different grain varieties.
[0145] In one embodiment, the control module 500 is further configured to acquire rice milling parameters corresponding to different grain types; obtain target rice milling parameters based on the rice milling parameters corresponding to different grain types and the determined rice type; and control the rice milling operation in the rice milling silo based on the target rice milling parameters.
[0146] In one embodiment, the rice milling parameters include the milling roller speed and the milling time; the control module 500 is further configured to determine the milling roller speed to be 500-550 rpm and the milling time to be 8-12 seconds per 100 grams if the determined rice type is silky rice; determine the milling roller speed to be 500-600 rpm and the milling time to be 10-15 seconds per 100 grams if the determined rice type is long-grain rice; and determine the milling roller speed to be 600-650 rpm and the milling time to be 15-20 seconds per 100 grams if the determined rice type is round-grain rice.
[0147] Each module in the aforementioned rice milling machine operation control device 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.
[0148] 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-described method to control the operation of the rice milling machine body.
[0149] 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 stored 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 method for controlling the operation of a rice milling machine. The display screen can be an LCD screen or an e-ink 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.
[0150] 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.
[0151] 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 above-described rice milling machine operation control method.
[0152] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described rice milling machine operation control method.
[0153] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the above-described rice milling machine operation control method.
[0154] 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.
[0155] 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.
[0156] 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 method of controlling the operation of a rice mill, characterized by, The method comprises: acquiring a target rice quantity, a rice flow rate in a rice mill from a rice bin to a rice mill bin, and a rice height in the rice bin; determining a grain characteristic coefficient of the rice based on a grain fluid mechanics principle, the rice flow rate, and the rice height; the grain characteristic coefficient is related to a friction coefficient of the rice itself; determining a rice type in the current rice bin according to the grain characteristic coefficient, and acquiring a grain density calibration constant corresponding to the rice type; determining a rice feeding duration in the rice mill bin according to the target rice quantity, the rice flow rate, and the grain density calibration constant; controlling a rice feeding operation in the rice mill bin based on the rice feeding duration.
2. The method of claim 1, wherein, The acquiring of the target rice quantity comprises: acquiring a target rice quantity according to a set target rice quantity and a preset rice yield rate. The determining of the grain characteristic coefficient of the rice based on the grain fluid mechanics principle, the rice flow rate, and the rice height comprises:
3. The method of claim 1, wherein, acquiring a function relationship among the rice flow rate, the rice height, and the grain characteristic coefficient based on the grain fluid mechanics principle; determining the grain characteristic coefficient of the rice according to the function relationship, the rice flow rate, and the rice height. The determining of the rice type in the current rice bin according to the grain characteristic coefficient and the acquiring of the grain density calibration constant corresponding to the rice type comprise:
4. The method of claim 1, wherein, comparing the grain characteristic coefficient with preset first, second, and third grain characteristic coefficient thresholds; the first, second, and third grain characteristic coefficient thresholds increase in order; if the grain characteristic coefficient is not less than the third grain characteristic coefficient threshold, determining that the rice type is a silk seedling rice; if the grain characteristic coefficient is less than the third grain characteristic coefficient threshold and not less than the second grain characteristic coefficient threshold, determining that the rice type is a long-grain rice; if the grain characteristic coefficient is less than the second grain characteristic coefficient threshold and not less than the first grain characteristic coefficient threshold, determining that the rice type is a round-grain rice; acquiring the grain density calibration constant corresponding to the rice type. Before the acquiring of the grain density calibration constant corresponding to the rice type, the method further comprises:
5. The method of claim 1, wherein, acquiring density data of different grains; determining grain density calibration constants corresponding to the different grains based on the density data of the different grains. The method further comprises:
6. The method of claim 1, wherein, acquiring rice milling parameters corresponding to the different grains; acquiring target rice milling parameters according to the rice milling parameters corresponding to the different grains and the determined rice type; controlling a rice milling operation in the rice mill bin based on the target rice milling parameters. The rice milling parameters comprise a roller rotating speed and a rice milling duration.
7. The method of claim 6, wherein, The acquiring of the target rice milling parameters according to the rice milling parameters corresponding to the different grains and the determined rice type comprises: if the determined rice type is the silk seedling rice, determining that the roller rotating speed is 500-550 rpm and the rice milling duration is 8-12 seconds per 100 grams. If the determined rice type is long-grain rice, the roller rotation speed is determined to be 500-600 rpm, and the rice milling time per 100 grams is determined to be 10-15 seconds; If the determined rice type is round-grain rice, the roller rotation speed is determined to be 600-650 rpm, and the rice milling time per 100 grams is determined to be 15-20 seconds.
8. A rice mill operation control device characterized by comprising: The device comprises: a parameter acquisition module configured to acquire a target rice quantity, a rice flow rate in a rice mill from a rice bin to a rice mill bin, and a rice height in the rice bin; a grain characteristic analysis module configured to determine a grain characteristic coefficient of the rice based on a principle of grain fluid mechanics, the rice flow rate, and the rice height; the grain characteristic coefficient is related to a friction coefficient of the rice itself; a calibration module configured to determine a rice type in the current rice bin according to the grain characteristic coefficient, and acquire a grain density calibration constant corresponding to the rice type; a rice feeding time determination module configured to determine a rice mill bin rice feeding time according to the target rice quantity, the rice flow rate, and the grain density calibration constant; a control module configured to control rice mill bin rice feeding operation based on the rice mill bin rice feeding time.
9. A rice mill characterized by comprising: The rice mill comprises a rice mill body and a controller, and the controller controls operation of the rice mill body by using the method according to any one of claims 1 to 7. 10.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-9. The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.