Automatic control system and method for bean product processing

Abstract

The invention discloses an automatic control system and method for bean product processing, which relates to the technical field of bean product processing, and comprises a soaking parameter acquisition module, a soaking process analysis module, a crushing particle size analysis module, a crushing process control module, a display terminal and a database. Monitoring time points are set and relevant parameters are collected to monitor the soaking process of raw materials in real time, which is helpful to accurately grasp the progress of soaking and ensure that the soaked raw materials can fully absorb water and reach an optimal expansion state, thereby ensuring the quality of the bean products. In the soaking process analysis, by evaluating the soaking parameters at each monitoring time point, it is helpful to ensure that the raw materials meet the optimal soaking requirements and judge whether stirring is needed. The evaluation of whether the raw materials meet the optimal soaking requirements can help timely adjust the soaking conditions to avoid affecting the quality of soybean milk due to incomplete soaking of the raw materials. Judging whether stirring is needed can ensure that the raw materials are evenly distributed during the soaking process.

Description

Technical Field

[0001] The present invention relates to the technical field of bean product processing, and in particular to an automatic control system and method for bean product processing. Background Art

[0002] With the advancement of control system technology, automatic control systems are able to achieve more complex and precise control functions. For example, during the soaking and crushing process of soy products, the system can automatically adjust operating parameters based on real-time data to ensure the best processing effect.

[0003] Prior art, such as the invention patent application with announcement number CN117115738A, discloses an automatic control system and method for soy product processing, which adopts artificial intelligence technology based on a deep neural network model to obtain monitoring video of soy milk coagulation in a predetermined time period, extracts key frames and then extracts contextual semantic understanding information through the ViT model, and then enhances spatial attention features after fusing Gaussian density maps to obtain a classification result indicating whether coagulant needs to be added. In this way, the coagulation state of soy milk can be monitored in real time to ensure the quality and consistency of tofu.

[0004] With respect to the above scheme, there are at least the following technical problems: 1. The above scheme does not mention how to monitor the soaking process of the raw materials in detail before the soy milk solidifies, including key parameters such as the soaking water temperature, the water absorption rate of the raw materials and the expansion rate of the raw materials. The lack of real-time monitoring of the soaking parameters will cause uneven or premature coagulation of the soy milk, thereby affecting the quality and consistency of the tofu. It also does not mention how to evaluate and control the stirring requirements of the raw materials during the soaking process. Stirring can ensure the uniform distribution of the raw materials in the soaking liquid. If the stirring during the soaking process is ignored, some raw materials will absorb water unevenly, thereby affecting the subsequent preparation of soy milk and the overall quality of tofu.

[0005] 2. The above scheme does not involve how to control the particle size of the raw materials during the crushing process and the adjustment of the crushing parameters. It does not describe in detail the analysis and control measures of the crushing particle size, which will lead to inconsistent texture of soy milk. The crushing particle size is crucial to the taste of soy milk and the shaping of tofu. Too coarse or too fine crushing will directly affect the quality of the final product. Failure to monitor and adjust the comprehensive crushing assessment coefficient in the crushing process in real time will result in the crushing particle size of the raw materials failing to meet the standard requirements, thereby affecting the production efficiency and product quality of soy products. Summary of the invention

[0006] The purpose of the present invention is to provide an automatic control system and method for bean product processing, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an automatic control system for soy product processing, including: a soaking parameter acquisition module, which is used to set each monitoring time point, and then collect the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, and the soaking parameters include soaking water temperature, raw material water absorption rate and raw material expansion rate.

[0008] The soaking process analysis module is used to evaluate whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking according to the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening.

[0009] The crushing particle size analysis module is used to transport the raw materials to the crushing equipment when the raw materials meet the optimal soaking requirements, and then collect the crushing information of the raw materials during the crushing process.

[0010] The crushing process control module is used to calculate the comprehensive crushing evaluation coefficient corresponding to the raw material in the crushing process according to the crushing information of the raw material in the crushing process, thereby evaluating whether the crushing particle size of the raw material meets the requirements. When the crushing particle size of the raw material does not meet the requirements, the crushing parameters of the crushing process are further evaluated.

[0011] The display terminal is used to display prompts when the raw materials meet the optimal soaking requirements, when the raw materials need to be stirred during soaking, and when the crushed particle size of the raw materials does not meet the requirements.

[0012] Preferably, the soaking parameters corresponding to the raw materials after being screened are collected, and the specific collection process is as follows: each monitoring depth is set from bottom to top in the designated soaking container, each monitoring depth is set with a corresponding monitoring container, each raw material sample is sampled from the screened raw materials, the raw material sample is placed in each monitoring container at each monitoring depth, and the volume and weight corresponding to the raw material sample in each monitoring container are recorded respectively;

[0013] According to the set monitoring time points, the best time intervals for soaking the raw materials in the past are obtained from the database, and the minimum value of the best time interval is used as the starting monitoring time. When the soaking time of the raw materials in the designated soaking container is equal to the starting monitoring time, the soaking parameters are monitored according to the set monitoring time points. At each monitoring time point, the raw material samples of each monitoring container are taken out from each monitoring depth, and the volume and weight corresponding to the raw material samples in each monitoring container are recorded, and then the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are calculated, and the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are respectively averaged to obtain the raw material water absorption rate and raw material expansion rate corresponding to each monitoring depth at each monitoring time point. Temperature sensors are set at each monitoring depth of the designated soaking container to obtain the soaking water temperature corresponding to each monitoring depth at each monitoring time point.

[0014] Preferably, the evaluation of whether the raw materials meet the optimal soaking requirements is carried out as follows: according to the corresponding soaking water temperature, raw material water absorption rate, raw material expansion rate and soaking water temperature when the raw materials are soaked after screening, a comprehensive soaking evaluation index of the raw materials at each monitoring time point when soaked is calculated, and the comprehensive soaking evaluation index includes -1 and 1. When the comprehensive soaking evaluation index at a certain monitoring time point is -1, it indicates that the raw materials have not met the optimal soaking requirements at this monitoring time point, and soaking continues. When the comprehensive soaking evaluation index at a certain monitoring time point is 1, it indicates that the raw materials meet the optimal soaking requirements at this monitoring time point, and the completely soaked raw materials are transported to the crushing equipment.

[0015] Preferably, the calculation obtains the comprehensive immersion evaluation index corresponding to each monitoring time point when the raw material is immersed, and the specific analysis process is as follows: obtaining the control immersion parameters corresponding to the raw material when immersed from the database, the control immersion parameters including the standard immersion water temperature, the standard raw material water absorption rate and the standard raw material expansion rate;

[0016] Evaluate the expression according to the comprehensive immersion criteria:

[0017]

[0018] Get the comprehensive immersion evaluation index So corresponding to each monitoring time point when the raw material is immersed j , i is the number corresponding to each monitoring depth, i = 1, 2, ..., n, n is any integer greater than 2, n is the total number of monitoring depths, j is the number corresponding to each monitoring time point, j = 1, 2, ..., m, m is any integer greater than 2, m is the total number of monitoring time points, where Tji, Xji, P ji They respectively represent the immersion water temperature, raw material water absorption rate and raw material expansion rate corresponding to the ith monitoring depth when the raw material is immersed at the jth monitoring time point. T′, X′ and P′ represent the standard immersion water temperature, standard raw material water absorption rate and standard raw material expansion rate, respectively. ι1, ι2 and ι3 are the weight factors corresponding to the set immersion water temperature, the weight factors corresponding to the raw material water absorption rate and the weight factors corresponding to the raw material expansion rate, respectively. U represents the standard comprehensive immersion evaluation index range.

[0019] In a second aspect, the present invention provides an automatic control method for bean product processing, comprising: step one, soaking parameter collection: setting each monitoring time point, and then collecting the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, the soaking parameters including soaking water temperature, raw material water absorption rate and raw material expansion rate.

[0020] Step 2: Analysis of the soaking process: Based on the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, it is evaluated whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking.

[0021] Step 3: Crushing particle size analysis: When the raw materials meet the optimal soaking requirements, the raw materials are transported to the crushing equipment, and the crushing information of the raw materials during the crushing process is collected.

[0022] Step 4: Crushing process control: According to the crushing information of the raw materials during the crushing process, calculate the comprehensive crushing evaluation coefficient corresponding to the raw materials during the crushing process, thereby evaluating whether the crushing particle size of the raw materials meets the requirements. When the crushing particle size of the raw materials does not meet the requirements, further evaluate the crushing parameters of the crushing process.

[0023] Step 5. Display prompts: When the raw materials meet the optimal soaking requirements, the raw materials need to be stirred during soaking, and the crushed particle size of the raw materials does not meet the requirements, a prompt will be displayed.

[0024] The beneficial effects of the present invention are as follows: 1. The present invention provides an automatic control system and method for processing soy products, which sets monitoring time points and collects relevant parameters, and monitors the soaking process of raw materials in real time, which helps to accurately grasp the progress of soaking and ensure that the soaked raw materials can fully absorb water and reach the optimal expansion state, thereby ensuring the quality of the soy products. In the soaking process analysis, by evaluating the soaking parameters at each monitoring time point, it is helpful to ensure that the raw materials meet the optimal soaking requirements and determine whether stirring is needed. Evaluation of whether the raw materials meet the optimal soaking requirements can help to adjust the soaking conditions in time to avoid affecting the quality of soy milk due to incomplete soaking of the raw materials. Judging whether stirring is needed can ensure that the raw materials are evenly distributed during the soaking process, thereby improving the consistency of the soy milk and the quality of the final product, and avoiding uneven distribution of solid matter.

[0025] 2. In the crushing particle size analysis module of the embodiment of the present invention, the crushing information during the raw material crushing process is collected, which is conducive to accurately controlling the crushing particle size, collecting crushing information and calculating the comprehensive crushing evaluation coefficient, and real-time monitoring of the state of the raw material during the crushing process, which is helpful to accurately control the crushing particle size and ensure the fineness of soy milk and the taste of tofu. The crushing particle size information is fed back in real time, and the crushing parameters can be adjusted in time to meet production requirements and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0028] Figure 2 It is a schematic flow chart of the implementation steps of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 As shown, the present invention provides an automatic control system for bean product processing, which includes: a soaking parameter acquisition module, a soaking process analysis module, a crushing particle size analysis module, a crushing process control module, a display terminal and a database.

[0031] The soaking parameter acquisition module is connected to the soaking process analysis module and the database respectively; the soaking process analysis module is connected to the crushing particle size analysis module, the display terminal and the database respectively; the crushing particle size analysis module is connected to the crushing process control module; and the crushing process control module is connected to the display terminal and the database respectively.

[0032] The soaking parameter collection module is used to set each monitoring time point, and then collect the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening. The soaking parameters include soaking water temperature, raw material water absorption rate and raw material expansion rate.

[0033] It should be noted that during the processing of soy products, raw materials are prepared, screened, cleaned, soaked, washed and crushed. After crushing, various types of soy products are processed, including tofu, soy milk and bean skin.

[0034] In a specific embodiment, the soaking parameters corresponding to the raw materials after being screened are collected, and the specific collection process is as follows: each monitoring depth is set from bottom to top in the designated soaking container, each monitoring depth is set with a corresponding monitoring container, each raw material sample is sampled from the screened raw materials, and the raw material samples are placed in each monitoring container at each monitoring depth, and the volume and weight corresponding to the raw material sample in each monitoring container are recorded respectively;

[0035] According to the set monitoring time points, the best time intervals for soaking the raw materials in the past are obtained from the database, and the minimum value of the best time interval is used as the starting monitoring time. When the soaking time of the raw materials in the designated soaking container is equal to the starting monitoring time, the soaking parameters are monitored according to the set monitoring time points. At each monitoring time point, the raw material samples of each monitoring container are taken out from each monitoring depth, and the volume and weight corresponding to the raw material samples in each monitoring container are recorded, and then the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are calculated, and the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are respectively averaged to obtain the raw material water absorption rate and raw material expansion rate corresponding to each monitoring depth at each monitoring time point. Temperature sensors are set at each monitoring depth of the designated soaking container to obtain the soaking water temperature corresponding to each monitoring depth at each monitoring time point.

[0036] It should be noted that multiple monitoring containers are set at the same monitoring depth. The function of the monitoring container is to separate the raw material sample from other soaked raw materials. When the screened raw material samples are transferred to the designated soaking container through the conveyor belt, the robot arm takes samples of each raw material sample. The sampling is random and is calculated by the formula The water absorption rate of the raw materials corresponding to each monitoring depth at each monitoring time point is obtained by the calculation formula The expansion rate of the raw material corresponding to the i-th monitoring depth when the raw material is immersed at the j-th monitoring time point is obtained, wherein q is the number corresponding to each monitoring container, q=1, 2,..., y, y is any integer greater than 2, y is the total number corresponding to the monitoring containers, Wqji and Qqji respectively represent the raw material sample volume and raw material sample weight after immersion in the q-th monitoring container corresponding to the i-th monitoring depth at the j-th monitoring time point, and Wq′i and Q′qi respectively represent the raw material sample volume and raw material sample weight before immersion in the q-th monitoring container corresponding to the i-th monitoring depth.

[0037] It should also be noted that the soaking water temperature directly affects the water absorption rate and expansion degree of the raw materials. The standard water temperature can speed up the water absorption rate and expansion of the raw materials, allowing the raw materials to reach the optimal soaking state faster. However, water temperatures higher than the standard will cause damage to the structure of the soybeans. If the water absorption rate of the raw materials within the specified time is lower than the standard value, it means that the soaking time is short and the soaking time needs to be extended. The expansion rate reflects the change in volume of the raw materials during the soaking process. An expansion rate lower than the standard value means that the soaking time is short and it cannot fully expand.

[0038] The soaking process analysis module is used to evaluate whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking according to the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening.

[0039] In a specific embodiment, the evaluation of whether the raw materials meet the optimal soaking requirements is as follows: according to the corresponding soaking water temperature, raw material water absorption rate, raw material expansion rate and soaking water temperature when the raw materials are soaked after screening, the comprehensive soaking evaluation index of the raw materials at each monitoring time point when soaked is calculated, and the comprehensive soaking evaluation index includes -1 and 1. When the comprehensive soaking evaluation index at a certain monitoring time point is -1, it indicates that the raw materials have not met the optimal soaking requirements at this monitoring time point, and soaking continues. When the comprehensive soaking evaluation index at a certain monitoring time point is 1, it indicates that the raw materials meet the optimal soaking requirements at this monitoring time point, and the completely soaked raw materials are transported to the crushing equipment.

[0040] In a specific embodiment, the calculation obtains the comprehensive immersion evaluation index corresponding to each monitoring time point when the raw material is immersed, and the specific analysis process is as follows: the control immersion parameters corresponding to the raw material when immersed are obtained from the database, and the control immersion parameters include standard immersion water temperature, standard raw material water absorption rate and standard raw material expansion rate.

[0041] Evaluate the expression according to the comprehensive immersion criteria:

[0042]

[0043] Get the comprehensive immersion evaluation index So corresponding to each monitoring time point when the raw material is immersed j , i is the number corresponding to each monitoring depth, i = 1, 2, ..., n, n is any integer greater than 2, n is the total number of monitoring depths, j is the number corresponding to each monitoring time point, j = 1, 2, ..., m, m is any integer greater than 2, m is the total number of monitoring time points, where Tji, Xji, P ji They respectively represent the immersion water temperature, raw material water absorption rate and raw material expansion rate corresponding to the ith monitoring depth when the raw material is immersed at the jth monitoring time point. T′, X′ and P′ represent the standard immersion water temperature, standard raw material water absorption rate and standard raw material expansion rate, respectively. ι1, ι2 and ι3 are the weight factors corresponding to the set immersion water temperature, the weight factors corresponding to the raw material water absorption rate and the weight factors corresponding to the raw material expansion rate, respectively. U represents the standard comprehensive immersion evaluation index range.

[0044] It should be noted that the values ​​of ι1, ι2, and ι3 are all greater than 0 and less than 1, and U is used as a basis for evaluating whether the raw materials meet the optimal soaking requirements during the soaking process.

[0045] It should also be explained that, for example, the raw material mentioned above is soybean. Assuming that during the soybean processing process, the soaking water temperature affects the water absorption speed and uniformity of the raw material. Usually, the water temperature is too low and the water absorption is slow, and too high a temperature will affect the raw material structure. Therefore, the soaking water temperature weight factor is set to 0.4. The water absorption rate of the raw material is directly related to the expansion of soybeans and the processing effect. Therefore, the weight factor of the raw material water absorption rate is set to 0.3. The raw material expansion rate affects the texture and taste of soy products. Therefore, the weight factor of the raw material expansion rate is set to 0.3. Finally, the weight factors corresponding to the soaking water temperature, the weight factors corresponding to the raw material water absorption rate, and the weight factors corresponding to the raw material expansion rate are determined in combination with expert opinions and actual processes.

[0046] In a specific embodiment, the evaluation of whether the raw materials need to be stirred during soaking is carried out, and the specific evaluation process is as follows: the standard stirring comparison value corresponding to the raw materials during soaking is obtained from the database, and the comprehensive soaking evaluation index corresponding to each monitoring depth at each monitoring time point is compared respectively. If the difference between the comprehensive soaking evaluation index corresponding to the ith monitoring depth at the jth monitoring time point and the comprehensive soaking evaluation index corresponding to the i+1th monitoring depth at the jth monitoring time point is greater than or equal to the standard stirring comparison value, it means that the raw materials need to be stirred, otherwise, stirring is not required.

[0047] The crushing particle size analysis module is used to transport the raw materials to the crushing equipment when the raw materials meet the optimal soaking requirements, and then collect the crushing information of the raw materials during the crushing process.

[0048] In a specific embodiment, the crushing information of the raw material during the crushing process is collected, and the specific collection process is as follows: the crushing information includes the screening aperture of the raw material during the screening process, the diameter of the residue particles of the raw material during the crushing process, and the number of parameter particles larger than the set residue particle diameter;

[0049] The screening aperture during the screening process is obtained from the control system, a set portion of the raw materials are selected from the completely soaked raw materials for crushing, the corresponding raw material image after crushing is obtained through the camera, and then the residual particle diameter of the raw materials during the crushing process and the number of parameter particles larger than the set residual particle diameter are obtained through image recognition technology.

[0050] The crushing process control module is used to calculate the comprehensive crushing evaluation coefficient corresponding to the raw material in the crushing process according to the crushing information of the raw material in the crushing process, thereby evaluating whether the crushing particle size of the raw material meets the requirements. When the crushing particle size of the raw material does not meet the requirements, the crushing parameters of the crushing process are further evaluated.

[0051] In a specific embodiment, the calculation of the comprehensive crushing evaluation coefficient corresponding to the raw material in the crushing process is specifically calculated as follows: by calculating the formula The comprehensive crushing assessment coefficient β corresponding to the raw material in the crushing process is obtained, p is the number corresponding to the crushing information, p=1, 2, 3, when p is expressed as 1, 2 and 3, the corresponding ξ1, ξ2, ξ3 respectively represent the screening aperture of the raw material in the screening process, the diameter of the residual particle of the raw material in the crushing process, and the number of parameter particles larger than the set residual particle diameter, λ1, λ2, λ3 respectively represent the weight factor corresponding to the set screening aperture of the raw material in the screening process, the weight factor corresponding to the residual particle diameter of the raw material in the crushing process, and the weight factor corresponding to the number of parameter particles larger than the set residual particle diameter.

[0052] It should be noted that the values ​​of λ1, λ2, and λ3 are all greater than 0 and less than 1.

[0053] It should also be noted that, for example, the screening aperture directly affects the initial sorting effect of the raw material. If the aperture is too large or too small, it will lead to uneven screening. Therefore, the screening aperture weight factor is set to 0.4. The diameter of the residue particles affects the accuracy of the crushing effect. If the diameter is greater than the set residue particle diameter, it will affect the consistency and quality of the finished product. The weight factor is set to 0.3. The number of particles larger than the set residue particle diameter reflects the completeness of the crushing. A large number indicates insufficient crushing. The weight factor is set to 0.3. Finally, the weight factor corresponding to the screening aperture of the raw material in the screening process, the weight factor corresponding to the residue particle diameter of the raw material in the crushing process, and the weight factor corresponding to the number of parameter particles larger than the set residue particle diameter are determined in combination with expert opinions and actual processes.

[0054] In a specific embodiment, the evaluation of whether the crushing particle size of the raw material meets the requirements is carried out as follows: the standard comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is obtained from the database, and the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is compared with the standard comprehensive crushing assessment coefficient. If the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is greater than or equal to the standard comprehensive crushing assessment coefficient, it indicates that the crushing particle size of the raw material does not meet the requirements, and then the crushing parameters of the raw material in the crushing process are adjusted. If the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is less than the standard comprehensive crushing assessment coefficient, it indicates that the crushing particle size of the raw material meets the requirements.

[0055] In a specific embodiment, the crushing parameters of the raw materials during the crushing process are adjusted, and the specific analysis process is as follows: the crushing parameters include the rotation speed of the crusher, the size of the crusher's discharge port and the crushing time. The crushing parameters are adjusted by increasing the rotation speed of the crusher, reducing the size of the crusher's discharge port and increasing the crushing time. After the crushing parameters are adjusted, a set portion of the raw materials is selected for crushing again until the crushed particle size of the raw materials meets the requirements.

[0056] In the crushing particle size analysis module of the embodiment of the present invention, the crushing information during the raw material crushing process is collected, which is conducive to accurately controlling the crushing particle size, collecting crushing information and calculating the comprehensive crushing evaluation coefficient, and real-time monitoring of the state of the raw material during the crushing process. It is helpful to accurately control the crushing particle size and ensure the fineness of soy milk and the taste of tofu. The crushing particle size information is fed back in real time, and the crushing parameters can be adjusted in time to meet production requirements and improve production efficiency.

[0057] The display terminal is used to display prompts when the raw materials meet the optimal soaking requirements, when the raw materials need to be stirred during soaking, and when the crushed particle size of the raw materials does not meet the requirements.

[0058] The database is used to store the optimal time intervals for soaking raw materials in the past, the control soaking parameters corresponding to the raw materials during soaking, the control soaking parameters include standard soaking water temperature, standard raw material water absorption rate and standard raw material expansion rate, the standard stirring comparison value corresponding to the raw materials during soaking, and the standard comprehensive crushing evaluation coefficient corresponding to the raw materials during the crushing process.

[0059] See also Figure 2 The automatic control method for bean product processing shown includes the following steps: Step 1, soaking parameter collection: setting each monitoring time point, and then collecting the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, the soaking parameters including soaking water temperature, raw material water absorption rate and raw material expansion rate.

[0060] Step 2: Analysis of the soaking process: Based on the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, it is evaluated whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking.

[0061] Step 3: Crushing particle size analysis: When the raw materials meet the optimal soaking requirements, the raw materials are transported to the crushing equipment, and the crushing information of the raw materials during the crushing process is collected.

[0062] Step 4: Crushing process control: According to the crushing information of the raw materials during the crushing process, calculate the comprehensive crushing evaluation coefficient corresponding to the raw materials during the crushing process, thereby evaluating whether the crushing particle size of the raw materials meets the requirements. When the crushing particle size of the raw materials does not meet the requirements, further evaluate the crushing parameters of the crushing process.

[0063] Step 5. Display prompts: When the raw materials meet the optimal soaking requirements, the raw materials need to be stirred during soaking, and the crushed particle size of the raw materials does not meet the requirements, a prompt will be displayed.

[0064] The present invention provides an automatic control system and method for processing soy products, which sets monitoring time points and collects relevant parameters, and monitors the soaking process of raw materials in real time, which helps to accurately grasp the progress of soaking and ensure that the soaked raw materials can fully absorb water and reach an optimal expansion state, thereby ensuring the quality of the soy products. In the soaking process analysis, by evaluating the soaking parameters at each monitoring time point, it is helpful to ensure that the raw materials meet the optimal soaking requirements and judge whether stirring is needed. Evaluation of whether the raw materials meet the optimal soaking requirements can help timely adjust the soaking conditions to avoid affecting the quality of soy milk due to incomplete soaking of the raw materials. Judging whether stirring is needed can ensure that the raw materials are evenly distributed during the soaking process, thereby improving the consistency of the soy milk and the quality of the final product, and avoiding uneven distribution of solid matter.

[0065] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A soy product processing automatic control system, characterized in that: include: The soaking parameter acquisition module is used to set each monitoring time point, and then collect the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening. The soaking parameters include soaking water temperature, raw material water absorption rate and raw material expansion rate; The soaking process analysis module is used to evaluate whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking according to the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening; The crushing particle size analysis module is used to transport the raw materials to the crushing equipment when the raw materials meet the optimal soaking requirements, and then collect the crushing information of the raw materials during the crushing process; The crushing information of the raw materials during the crushing process is collected, and the specific collection process is as follows: The crushing information includes the screening aperture of the raw material during the screening process, the diameter of the residue particles of the raw material during the crushing process, and the number of parameter particles larger than the set residue particle diameter; The screening aperture in the screening process is obtained from the control system, a set portion of the raw materials is selected from the completely soaked raw materials for crushing, the corresponding raw material image after crushing is obtained through a camera, and then the residual particle diameter of the raw materials in the crushing process and the number of parameter particles larger than the set residual particle diameter are obtained through image recognition technology; The crushing process control module is used to calculate the comprehensive crushing evaluation coefficient corresponding to the raw material in the crushing process according to the crushing information of the raw material in the crushing process, thereby evaluating whether the crushing particle size of the raw material meets the requirements. When the crushing particle size of the raw material does not meet the requirements, the crushing parameters of the crushing process are further evaluated; The calculation process of the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is as follows: By calculating the formula Obtain the comprehensive crushing assessment coefficient β corresponding to the raw material in the crushing process, p is the number corresponding to the crushing information, p = 1, 2, 3, when p is expressed as 1, 2 and 3, the corresponding ζ1, ζ2, ξ3 respectively represent the screening aperture of the raw material in the screening process, the diameter of the residual particles of the raw material in the crushing process, and the number of parameter particles larger than the set residual particle diameter, λ1, λ2, λ3 respectively represent the weight factor corresponding to the set screening aperture of the raw material in the screening process, the weight factor corresponding to the residual particle diameter of the raw material in the crushing process, and the weight factor corresponding to the number of parameter particles larger than the set residual particle diameter; The specific evaluation process of evaluating whether the crushing particle size of the raw materials meets the requirements is as follows: Obtaining the standard comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process from the database, comparing the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process with the standard comprehensive crushing assessment coefficient, if the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is greater than or equal to the standard comprehensive crushing assessment coefficient, it indicates that the crushing particle size of the raw material does not meet the requirements, and then adjusting the crushing parameters of the raw material in the crushing process, if the comprehensive crushing assessment coefficient corresponding to the raw material in the crushing process is less than the standard comprehensive crushing assessment coefficient, it indicates that the crushing particle size of the raw material meets the requirements; The display terminal is used to display prompts when the raw materials meet the optimal soaking requirements, when the raw materials need to be stirred during soaking, and when the crushed particle size of the raw materials does not meet the requirements.

2. The automatic control system for soy product processing according to claim 1, characterized in that: The corresponding soaking parameters when the collected raw materials are soaked after screening, the specific collection process is as follows: Each monitoring depth is set from bottom to top in the designated soaking container, each monitoring depth is set with a corresponding monitoring container, each raw material sample is sampled from the screened raw materials, the raw material sample is placed in each monitoring container at each monitoring depth, and the volume and weight corresponding to the raw material sample in each monitoring container are recorded respectively; According to the set monitoring time points, the best time intervals for soaking the raw materials in the past are obtained from the database, and the minimum value of the best time interval is used as the starting monitoring time. When the soaking time of the raw materials in the designated soaking container is equal to the starting monitoring time, the soaking parameters are monitored according to the set monitoring time points. At each monitoring time point, the raw material samples of each monitoring container are taken out from each monitoring depth, and the volume and weight corresponding to the raw material samples in each monitoring container are recorded, and then the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are calculated, and the raw material water absorption rate and raw material expansion rate corresponding to the raw material samples in each monitoring container at each monitoring depth are respectively averaged to obtain the raw material water absorption rate and raw material expansion rate corresponding to each monitoring depth at each monitoring time point. Temperature sensors are set at each monitoring depth of the designated soaking container to obtain the soaking water temperature corresponding to each monitoring depth at each monitoring time point.

3. The automatic control system for soy product processing according to claim 2, characterized in that: The specific evaluation process of evaluating whether the raw materials meet the optimal soaking requirements is as follows: According to the corresponding soaking water temperature, raw material water absorption rate, raw material expansion rate and soaking water temperature when the raw materials are soaked after screening, the comprehensive soaking evaluation index of the raw materials at each monitoring time point during soaking is calculated. The comprehensive soaking evaluation index includes -1 and 1. When the comprehensive soaking evaluation index at a certain monitoring time point is -1, it indicates that the raw material has not reached the optimal soaking requirement at the monitoring time point, and the soaking continues. When the comprehensive soaking evaluation index at a certain monitoring time point is 1, it indicates that the raw material has reached the optimal soaking requirement at the monitoring time point, and the completely soaked raw materials are transported to the crushing equipment.

4. The automatic control system for soy product processing according to claim 3, characterized in that: The calculation obtains the comprehensive immersion assessment index corresponding to each monitoring time point when the raw material is immersed, and the specific analysis process is as follows: Obtaining corresponding control soaking parameters of the raw material during soaking from a database, the control soaking parameters including standard soaking water temperature, standard raw material water absorption rate and standard raw material expansion rate; Evaluate the expression according to the comprehensive immersion criteria: Get the comprehensive immersion evaluation index So corresponding to each monitoring time point when the raw material is immersed j , i is the number corresponding to each monitoring depth, i = 1, 2, ..., n, n is any integer greater than 2, n is the total number of monitoring depths, J is the number corresponding to each monitoring time point, j = 1, 2, ..., m, m is any integer greater than 2, m is the total number of monitoring time points, where T ji , X ji , P ji They respectively represent the immersion water temperature, raw material water absorption rate and raw material expansion rate corresponding to the ith monitoring depth when the raw material is immersed at the jth monitoring time point. T′, X′ and P′ represent the standard immersion water temperature, standard raw material water absorption rate and standard raw material expansion rate, respectively. ι1, ι2 and ι3 are the weight factors corresponding to the set immersion water temperature, the weight factors corresponding to the raw material water absorption rate and the weight factors corresponding to the raw material expansion rate, respectively. U represents the standard comprehensive immersion evaluation index range.

5. The automatic control system for soy product processing according to claim 4, characterized in that: The specific evaluation process of evaluating whether the raw materials need to be stirred during soaking is as follows: The standard stirring comparison value corresponding to the raw material during soaking is obtained from the database, and the comprehensive soaking assessment index corresponding to each monitoring depth at each monitoring time point is compared respectively. If the difference between the comprehensive soaking assessment index corresponding to the ith monitoring depth at the jth monitoring time point and the comprehensive soaking assessment index corresponding to the i+1th monitoring depth at the jth monitoring time point is greater than or equal to the standard stirring comparison value, it means that the raw material needs to be stirred; otherwise, stirring is not required.

6. The automatic control system for soy product processing according to claim 5, characterized in that: The crushing parameters of the raw materials during the crushing process are adjusted, and the specific analysis process is as follows: The crushing parameters include the crusher's rotation speed, the crusher's discharge opening size and the crushing time. The crushing parameters are adjusted by increasing the crusher's rotation speed, reducing the crusher's discharge opening size and increasing the crushing time. After the crushing parameters are adjusted, a set portion of the raw materials is selected for crushing again until the crushed particle size of the raw materials meets the requirements.

7. A soy product processing automatic control method implementing a soy product processing automatic control system according to any one of claims 1 to 6, characterized in that: The steps include: Step 1: Soaking parameter collection: Set each monitoring time point, and then collect the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening. The soaking parameters include soaking water temperature, raw material water absorption rate and raw material expansion rate; Step 2: Soaking process analysis: according to the soaking parameters corresponding to each monitoring time point when the raw materials are soaked after screening, it is evaluated whether the raw materials meet the optimal soaking requirements and whether the raw materials need to be stirred during soaking; Step 3: Crushing particle size analysis: When the raw materials meet the optimal soaking requirements, the raw materials are transported to the crushing equipment, and the crushing information of the raw materials during the crushing process is collected; Step 4: Crushing process control: According to the crushing information of the raw material in the crushing process, the comprehensive crushing evaluation coefficient corresponding to the raw material in the crushing process is calculated, thereby evaluating whether the crushing particle size of the raw material meets the requirements. When the crushing particle size of the raw material does not meet the requirements, the crushing parameters of the crushing process are further evaluated; Step 5. Display prompts: When the raw materials meet the optimal soaking requirements, the raw materials need to be stirred during soaking, and the crushed particle size of the raw materials does not meet the requirements, a prompt will be displayed.

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