Artificial intelligence controlled precision processing execution system for wheat

Abstract

The application discloses a kind of Anhui wheat precision processing execution systems controlled by artificial intelligence, it is related to Anhui wheat processing technical field, to solve the problem that existing technology cannot adjust grinding parameters for the elderly.It includes raw material pretreatment module, artificial intelligence analysis control module, grinding execution module;The raw material pretreatment module is used to screen, wash and moisture adjustment to Anhui wheat;The artificial intelligence analysis control module generates the grinding fineness of Anhui wheat for the elderly by built-in personalized grinding parameter generation algorithm;The grinding execution module is used to grind Anhui wheat to corresponding fineness according to the grinding fineness of Anhui wheat for the elderly generated by the artificial intelligence analysis control module.The application has the advantage of adjusting Anhui wheat grinding parameters for different elderly people.

Description

Technical Field

[0001] This invention relates to the field of Anhui wheat processing technology, and more specifically, to an Anhui wheat precision processing execution system controlled by artificial intelligence. Background Technology

[0002] As a core grain crop in the Huanghuai region of my country, wheat from Anhui is used to make flour, which is a basic ingredient in the daily diet of the elderly and is widely used to make easily digestible foods such as steamed buns, noodles, and pastries.

[0003] However, elderly people generally experience decline in chewing muscle function, tooth loss, or loosening. Furthermore, their digestive system function weakens, leading to a much higher requirement for the fineness of Anhui wheat flour compared to the general population. Existing equipment can only achieve standardized processing and grinding, unable to adjust grinding parameters specifically for the elderly, resulting in low digestibility and absorption rates of Anhui wheat products. Therefore, we propose an artificial intelligence-controlled precision processing system for Anhui wheat. Summary of the Invention

[0004] The purpose of this invention is to provide a precision processing system for Anhui wheat controlled by artificial intelligence, which aims to solve the problem that existing technologies cannot adjust grinding parameters for elderly people.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a precision processing system for Anhui wheat controlled by artificial intelligence, comprising a raw material pretreatment module, an artificial intelligence analysis and control module, and a grinding execution module;

[0006] The raw material pretreatment module is used to screen, wash, and adjust the moisture content of the wheat from Anhui.

[0007] The artificial intelligence analysis and control module generates the fineness of Anhui wheat grinding specifically for the elderly through a built-in personalized grinding parameter generation algorithm.

[0008] The grinding execution module is used to grind the wheat to the appropriate fineness based on the wheat grinding fineness for the elderly generated by the artificial intelligence analysis and control module.

[0009] Preferably, it also includes a grinding quality detection feedback module, which is used to detect the fineness of the ground Anhui wheat and feed the detection results back to the artificial intelligence analysis and control module. The artificial intelligence analysis and control module optimizes the fineness of the Anhui wheat ground for the elderly based on the feedback results.

[0010] Preferably, when the fineness of the Anhui wheat grinding for the elderly generated by the artificial intelligence analysis and control module through the personalized grinding parameter generation algorithm is not 80-120 mesh, the nearest value within the range of 80-120 mesh is taken. That is, when the fineness of the Anhui wheat grinding for the elderly is less than 80 mesh, 80 mesh is taken; conversely, when the fineness of the Anhui wheat grinding for the elderly is greater than 120 mesh, 120 mesh is taken.

[0011] Preferably, the grinding execution module includes a two-stage grinding mechanism, which includes a toothed disc grinding component and a roller grinding component. The toothed disc grinding component is used to crush the wheat into 20-30 mesh coarse powder, and the roller grinding component is used to grind the coarse powder crushed by the toothed disc grinding component to the corresponding fineness according to the wheat grinding fineness for the elderly generated by the artificial intelligence analysis and control module.

[0012] Preferably, the raw material pretreatment module includes a wheat screening mechanism, a wheat washing mechanism, and a wheat moisture adjustment mechanism, which are used to screen, wash, and control the moisture content of the wheat within the range of 13%-15%, respectively.

[0013] Preferably, the grinding execution module further includes a temperature control mechanism and a temperature detection mechanism. The temperature detection mechanism is used to detect the temperature of the wheat in real time during the grinding process, and the temperature control mechanism is used to control the grinding temperature of the wheat in real time to be below 45°C to prevent the wheat from gelatinizing.

[0014] Preferably, the formula for the personalized grinding parameter generation algorithm is:

[0015] ;

[0016] In the formula, For the final grinding fineness target value, Based on the basic grinding fineness, This is an age correction factor. The weighting coefficient for the influence of age. This is a correction value for dental condition. The weighting factor for the influence of dental orthodontics. This is a correction value for digestive function. The weighting coefficients are determined by the influence of digestive function.

[0017] Preferably, when the artificial intelligence analysis and control module optimizes the fineness of the wheat grinding for the elderly based on the feedback results, it uses the following formula:

[0018]

[0019] Calculation optimization, where, To optimize the final grinding fineness target value, For feedback correction coefficient, This refers to the actual fineness of the wheat from Anhui.

[0020] Compared with the prior art, the beneficial effects of the present invention are:

[0021] 1. This invention accurately calculates the fineness of wheat grinding to meet the needs of different elderly people by combining key factors such as age, dental condition, and digestive function. Furthermore, by limiting the range of 80-120 mesh, it further ensures that the fineness of grinding is suitable for the chewing and digestive abilities of the elderly.

[0022] 2. This invention performs fineness testing on the ground Anhui wheat and feeds the actual test results back to the artificial intelligence analysis and control module. Based on the feedback results, the artificial intelligence analysis and control module effectively compensates for the possible deviations that may exist in algorithm calculations alone, solves the problem that the actual fineness of the ground wheat does not match the target value during the grinding process, and further improves the accuracy of the fineness of the ground Anhui wheat. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the system architecture of the present invention. Detailed Implementation

[0024] Example 1

[0025] In this embodiment, an artificial intelligence-controlled precision processing system for wheat from Anhui Province includes a raw material pretreatment module, an artificial intelligence analysis and control module, and a grinding execution module.

[0026] in:

[0027] The raw material pretreatment module includes a wheat screening mechanism, a wheat washing mechanism, and a wheat moisture adjustment mechanism, which are used to screen, wash, and control the moisture content of wheat within the range of 13%-15%, respectively.

[0028] The artificial intelligence analysis and control module generates the fineness of Anhui wheat grinding specifically for the elderly through a built-in personalized grinding parameter generation algorithm;

[0029] The formula for the personalized grinding parameter generation algorithm is:

[0030] ;

[0031] In the formula, For the final grinding fineness target value, The basic grinding fineness (in this embodiment, it is set according to the age group of the elderly: 60-70 years old) is used. =100 mesh, for elderly people aged 71-80 =110 mesh, elderly people over 80 years old =120 mesh), This is an age correction factor (in this embodiment, the value is set as 60-65 years old). =0, 66-70 years old, =2, 71-75 years old, =4, 76-80 years old, =6, 81-85 years old, =8, 85 years and older =10), The age-related weighting coefficient is set to 0.5 in this embodiment. This is a correction value for dental condition (in this embodiment, the value is determined by the rule that 0-1 teeth are missing). =0, missing 2-3 stones =5, missing 4-5 pieces =8, missing 5 or more. =12), In this embodiment, the weighting coefficient for the influence of dental prognosis is set to 0.8. This is a digestive function correction value (in this embodiment, the value ranges from 0 to 10). In this embodiment, the weighting coefficient for the impact of digestive function is set to 1.2.

[0032] Furthermore, it should be noted in this embodiment that when the Anhui wheat grinding fineness generated by the artificial intelligence analysis and control module through the personalized grinding parameter generation algorithm for the elderly is not between 80-120 mesh, the nearest value within the range of 80-120 mesh is taken. That is, when the generated Anhui wheat grinding fineness for the elderly is less than 80 mesh, 80 mesh is taken; conversely, when the generated Anhui wheat grinding fineness for the elderly is greater than 120 mesh, 120 mesh is taken.

[0033] In this embodiment, the grinding execution module includes a two-stage grinding mechanism, a temperature control mechanism, and a temperature detection mechanism;

[0034] in:

[0035] The two-stage grinding mechanism includes a toothed disc grinding assembly and a roller grinding assembly;

[0036] The toothed disc grinding assembly is used to crush Anhui wheat into coarse powder of 20-30 mesh;

[0037] The roller grinding assembly is used to grind the coarse powder crushed by the toothed disc grinding assembly to the corresponding fineness based on the fineness of the Anhui wheat grinding for the elderly generated by the artificial intelligence analysis and control module.

[0038] The temperature detection mechanism is used to monitor the real-time temperature of the Anhui wheat during the grinding process.

[0039] The temperature control mechanism is used to control the grinding temperature of Anhui wheat in real time to keep it below 45℃, thus preventing the wheat from gelatinizing.

[0040] In this embodiment, the Anhui wheat screening and washing mechanism of the raw material pretreatment module effectively removes impurities and contaminants from the Anhui wheat, ensuring the cleanliness of the raw materials. At the same time, the Anhui wheat moisture adjustment mechanism precisely controls the moisture content of the Anhui wheat at 13%-15%, avoiding improper moisture affecting the grinding effect.

[0041] The artificial intelligence analysis and control module relies on a personalized grinding parameter generation algorithm, combined with key factors such as the age, dental condition, and digestive function of the elderly, to accurately calculate the fineness of the Anhui wheat grinding that meets the needs of different elderly people. Furthermore, by limiting the value range to 80-120 mesh, it further ensures that the grinding fineness is suitable for the chewing and digestive abilities of the elderly.

[0042] The grinding execution module features a two-stage grinding mechanism. First, the toothed disc grinding component crushes the wheat into coarse powder of 20-30 mesh. Then, the roller grinding component performs precise grinding according to the fineness requirements generated by the algorithm, achieving an orderly transition from coarse processing to fine processing. At the same time, the temperature detection mechanism monitors the grinding temperature in real time, and the temperature control mechanism strictly controls the temperature below 45℃, effectively preventing the wheat from gelatinizing due to high temperature, thus preserving the nutritional components and original quality of the wheat to the greatest extent and meeting the special needs of the elderly.

[0043] Example 2

[0044] This embodiment is basically the same as Embodiment 1, except that it also includes a grinding quality detection feedback module. This module is used to detect the fineness of the ground Anhui wheat and feeds the detection results back to the artificial intelligence analysis and control module. The artificial intelligence analysis and control module optimizes the fineness of the Anhui wheat ground specifically for the elderly based on the feedback results.

[0045] When the artificial intelligence analysis and control module optimizes the fineness of the wheat grinding formula for the elderly based on feedback results, it uses the following formula:

[0046]

[0047] Calculation optimization, where, To optimize the final grinding fineness target value, The feedback correction factor (in this embodiment, the value is 0.3) is used. This refers to the actual fineness of the wheat from Anhui.

[0048] In this embodiment, the fineness of the ground Anhui wheat is detected, and the actual detection results are fed back to the artificial intelligence analysis and control module. Based on the feedback results, the artificial intelligence analysis and control module effectively compensates for the possible deviations that may exist by relying solely on algorithm calculations, solves the problem that the actual fineness of the ground wheat does not match the target value during the grinding process, and further improves the accuracy of the fineness of the ground Anhui wheat.

[0049] The embodiments disclosed in this invention are preferred embodiments, but are not limited thereto. Those skilled in the art can easily understand the spirit of this invention based on the above embodiments and make different extensions and variations, but as long as they do not depart from the spirit of this invention, they are all within the protection scope of this invention.

Claims

1. A precision processing system for Anhui wheat controlled by artificial intelligence, characterized in that, It includes a raw material pretreatment module, an artificial intelligence analysis and control module, and a grinding execution module; The raw material pretreatment module is used to screen, wash, and adjust the moisture content of the wheat from Anhui. The artificial intelligence analysis and control module generates a personalized grinding parameter generation algorithm to determine the fineness of the Anhui wheat for the elderly. The formula for the personalized grinding parameter generation algorithm is as follows: ； In the formula, The final grinding fineness target value, Based on the basic grinding fineness, This is an age correction factor. The weighting coefficient for the influence of age. This is a correction value for dental condition. The weighting factor for the influence of dental orthodontics. This is a correction value for digestive function. The weighting coefficient is determined by the influence of digestive function. The grinding execution module is used to grind the wheat to the appropriate fineness based on the wheat grinding fineness for the elderly generated by the artificial intelligence analysis and control module.

2. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 1, characterized in that, It also includes a grinding quality detection feedback module, which is used to detect the fineness of the ground Anhui wheat and feed the detection results back to the artificial intelligence analysis and control module. The artificial intelligence analysis and control module optimizes the fineness of the Anhui wheat ground for the elderly based on the feedback results.

3. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 1, characterized in that, When the artificial intelligence analysis and control module generates a fineness of Anhui wheat for the elderly that is not between 80 and 120 mesh using a personalized grinding parameter generation algorithm, it takes the nearest value within the range of 80 to 120 mesh. That is, when the fineness of Anhui wheat for the elderly is less than 80 mesh, it takes 80 mesh; conversely, when the fineness of Anhui wheat for the elderly is greater than 120 mesh, it takes 120 mesh.

4. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 3, characterized in that, The grinding execution module includes a two-stage grinding mechanism, which includes a toothed disc grinding component and a roller grinding component. The toothed disc grinding component is used to crush Anhui wheat into coarse powder of 20-30 mesh. The roller grinding component is used to grind the coarse powder crushed by the toothed disc grinding component to the corresponding fineness according to the Anhui wheat grinding fineness generated by the artificial intelligence analysis and control module for the elderly.

5. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 1, characterized in that, The raw material pretreatment module includes a wheat screening mechanism, a wheat washing mechanism, and a wheat moisture adjustment mechanism, which are used to screen, wash, and control the moisture content of the wheat within the range of 13%-15%, respectively.

6. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 4, characterized in that, The grinding execution module also includes a temperature control mechanism and a temperature detection mechanism. The temperature detection mechanism is used to detect the temperature of the wheat in real time during the grinding process, and the temperature control mechanism is used to control the grinding temperature of the wheat in real time to be below 45°C to prevent the wheat from gelatinizing.

7. The Anhui wheat precision processing execution system controlled by artificial intelligence according to claim 2, characterized in that, When the artificial intelligence analysis and control module optimizes the fineness of the wheat grinding formula for the elderly based on feedback results, it uses the following formula: Calculation optimization, where, To optimize the final grinding fineness target value, For feedback correction coefficient, This refers to the actual fineness of the wheat from Anhui.

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