Automatic production method for preparing fish soluble

Abstract

The invention relates to the technical field of automatic production, and discloses an automatic production method for preparing fish soluble, which comprises the following steps: confirming an automatic production system comprising a data fitting unit, a parameter input unit and an automatic production unit, confirming to receive a data fitting instruction from the data fitting unit, a fitting database is confirmed based on the data fitting instruction, a fermentation enzyme type set and a raw material fish type set are retrieved from the fitting database, and the fermentation enzyme type set and the raw material fish type set are sent to an initiating end of an automatic production instruction; receiving a target fermentation enzyme type and a target raw material fish type selected from the fermentation enzyme type set and the raw material fish type set by a user by using a parameter input unit, and retrieving a target production parameter group in the fitting database by using the target fermentation enzyme type and the target raw material fish type; the invention mainly aims to solve the problems of inaccurate parameter setting during production of the fish soluble and energy waste during production of the fish soluble.

Description

Technical Field

[0001] The invention relates to an automated production method for preparing fish soluble slurry, and belongs to the technical field of automated production. Background Art

[0002] As a high-quality animal protein source, fish soluble pulp is widely used in aquatic feed, pet food and other fields. With the increasing frequency of use of fish soluble pulp, more and more fish soluble pulp is wasted due to inaccurate parameter settings during production. Therefore, how to accurately set the parameters of fish soluble pulp during production has become an urgent problem to be solved.

[0003] The existing method for setting the parameters of fish soluble slurry during production is mainly as follows: the fish soluble slurry production personnel set the parameters of fish soluble slurry during production based on their own experience.

[0004] Although the above method can realize the setting of parameters for the production of fish soluble slurry, it is difficult to set parameters that meet the requirements of each raw material when setting the production parameters of fish soluble slurry. In addition, due to the differences in experience of fish soluble slurry production personnel, inaccurate parameter settings will occur during the production of fish soluble slurry, which will in turn lead to a waste of resources when producing fish soluble slurry. Summary of the invention

[0005] The present invention provides an automated production method, device and computer-readable storage medium for preparing fish soluble slurry, the main purpose of which is to solve the problems of inaccurate parameter setting and energy waste in the production of fish soluble slurry.

[0006] To achieve the above object, the present invention provides an automated production method for preparing fish slurry, comprising:

[0007] receiving an automated production instruction, and confirming an automated production system based on the automated production instruction, wherein the automated production system includes a data fitting unit, a parameter input unit, and an automated production unit;

[0008] confirming receipt of a data fitting instruction from a data fitting unit, and confirming a fitting database based on the data fitting instruction;

[0009] Retrieving a fermentation enzyme type set and a raw material fish type set from a fitting database, sending the fermentation enzyme type set and the raw material fish type set to an initiator of an automated production instruction, and using a parameter input unit to receive target fermentation enzyme types and target raw material fish types selected by a user from the fermentation enzyme type set and the raw material fish type set;

[0010] Retrieving a target production parameter group from a fitting database using target fermentation enzyme species and target raw material fish species;

[0011] Confirm receipt of the automated production instruction from the automated production unit, and based on the automated production instruction and the target production parameter group, realize automated production of the fish slurry.

[0012] Optionally, the confirming a fitting database based on the data fitting instruction includes:

[0013] Acquire an initial raw material fish set for producing fish slurry, wherein the initial raw material fish set includes a plurality of initial raw material fish, and acquire a fish identification model set based on the data fitting instruction, wherein the fish identification model set includes a plurality of fish identification models;

[0014] The following operations are performed on the initial raw material fish in the initial raw material fish set in sequence:

[0015] Using the initial raw material fish and the fish identification model set to obtain an identification type set, wherein the identification type set includes a plurality of fish identification types, and the fish identification types correspond to the fish identification models one by one;

[0016] According to the fish identification species, respectively counting the number of fish identification species in the identification species set to obtain an identification species quantity set, wherein the identification species quantity set includes one or more identification species quantities;

[0017] For each of the one or more identification type quantities, the following operations are performed:

[0018] Using the fish identification species corresponding to the identification species quantity, a marking operation is performed on the identification species quantity to obtain the marked identification species;

[0019] Summarizing the identification types to obtain an identification type set, and performing a sorting operation on the identification types in the identification type set in descending order of the number of identification types to obtain an identification sequence;

[0020] Extracting a first identification category and a second identification category from the identification sequence, calculating an absolute difference between the number of identification categories corresponding to the first identification category and the number of identification categories corresponding to the second identification category, and obtaining an evaluation difference;

[0021] Comparing the evaluation difference with a preset evaluation threshold;

[0022] If the evaluation difference is greater than or equal to the evaluation threshold, confirming that the type of the initial raw material fish is the fish identification type corresponding to the first identification type;

[0023] If the evaluation difference is less than the evaluation threshold, the initial raw material fish is discarded;

[0024] The initial raw material fish are respectively summarized according to the fish identification types to obtain one or more target raw material fish sets;

[0025] A fitting database is identified based on the one or more target raw material fish sets.

[0026] Optionally, the step of identifying a fitting database based on the one or more target raw material fish sets comprises:

[0027] The following operations are performed for each of the one or more target raw material fish sets:

[0028] Performing a crushing operation on the target raw material fish set to obtain an initial crushed raw material set, and performing a screening operation on the initial crushed raw material set using a pre-built raw material screening machine to obtain a first screened raw material set and a second screened raw material set;

[0029] Weighing the first screening raw material set and the second screening raw material set respectively to obtain a first screening mass and a second screening mass;

[0030] Calculating a quality threshold using a preset ratio value and the second screening quality, wherein the quality threshold is the product of the second screening quality and the ratio value, and comparing the quality threshold with the first screening quality;

[0031] If the first screening quality is greater than the quality threshold, the first screening raw material set is used as the target raw material fish set, and the process returns to the step of performing the crushing operation on the target raw material fish set until the first screening quality is less than or equal to the quality threshold;

[0032] If the first screening quality is less than or equal to the quality threshold, the first screening raw material set and the second screening raw material set are aggregated to obtain a first crushing raw material set;

[0033] Using a preset quality threshold, the first crushed raw material set is divided into a plurality of second crushed raw material sets, wherein the quality corresponding to the second crushed raw material set is the quality threshold;

[0034] The following operations are performed on each of the plurality of second crushed raw material sets:

[0035] The second crushed raw material set is introduced into a pre-constructed storage tank, and water with a preset volume threshold is introduced into the storage tank to obtain an initial hydrolyzed liquid, and the initial hydrolyzed liquid is introduced into a pre-constructed cooking tank, and the initial hydrolyzed liquid is cooked by the cooking tank into which the initial hydrolyzed liquid is introduced to obtain a target hydrolyzed liquid;

[0036] Performing a squeezing operation on the target hydrolyzate to obtain an initial fish juice, and performing a defatting operation on the initial fish juice to obtain a fish slurry raw material liquid;

[0037] The fish soluble pulp raw material liquids are aggregated to obtain a plurality of fish soluble pulp raw material liquids, and a fitting database is confirmed based on the plurality of fish soluble pulp raw material liquids.

[0038] Optionally, the step of confirming a fitting database based on the plurality of fish slurry raw material solutions comprises:

[0039] Using a preset grouping threshold and a plurality of fish-soluble slurry raw material liquids to obtain a plurality of fish-soluble slurry raw material liquid groups, wherein the fish-soluble slurry raw material liquid group includes a plurality of fish-soluble slurry raw material liquids, and the number corresponding to the plurality of fish-soluble slurry raw material liquids is the grouping threshold;

[0040] Obtaining a protease type set for enzymatic hydrolysis, wherein the protease type set includes a plurality of proteases;

[0041] For each of the multiple proteases, perform the following:

[0042] Based on the protease, a parameter range set is obtained, wherein the parameter range set includes: temperature range, pH range, protease concentration range and enzymolysis time range;

[0043] Utilizing the preset first temperature division value, extracting a plurality of first temperature values ​​in the temperature range, and obtaining a plurality of first pH values, a plurality of first protease concentration values, and a plurality of first enzymolysis times based on the pH range, the protease concentration range, and the enzymolysis time range, respectively;

[0044] In a combined form, a plurality of first temperature values, a plurality of first pH values, a plurality of first protease concentration values ​​and a plurality of first enzymatic hydrolysis times are used to obtain a plurality of first experimental parameter groups, wherein the first experimental parameter group includes a first temperature value, a first pH value, a first protease concentration value and a first enzymatic hydrolysis time;

[0045] Using the multiple first experimental parameter groups and the multiple fish soluble slurry raw material liquid groups, a plurality of first target experimental groups are obtained, wherein the first target experimental group includes the first experimental parameter group and the fish soluble slurry raw material liquid group, and the first experimental parameter group corresponds to the fish soluble slurry raw material liquid group one by one;

[0046] A fitting database is identified based on the plurality of first target experimental groups.

[0047] Optionally, the confirming a fitting database according to the plurality of first target experimental groups comprises:

[0048] The following operations are performed on each of the multiple first target experimental groups:

[0049] Acquire an initial pH set based on the fish soluble slurry raw material liquid group corresponding to the first target experimental group, wherein the initial pH set includes a plurality of initial pH values, and the initial pH values ​​correspond one to one with the fish soluble slurry raw material liquid;

[0050] Obtaining an initial pH variance using the initial pH set, wherein the initial pH variance is a variance of a plurality of initial pH values ​​in the initial pH set;

[0051] The initial pH variance is compared with a preset pH variance threshold. If the initial pH variance is greater than the pH variance threshold, the following operations are performed on each initial pH value in the initial pH set:

[0052] Using the initial pH set and the initial pH value to obtain a screening pH set, wherein the screening pH set is the complement of the initial pH value in the initial pH set;

[0053] The evaluation pH value is calculated based on the initial pH value and the screening pH set, and the calculation formula is as follows:

[0054]

[0055] Among them, P i represents the estimated pH value corresponding to the i-th initial pH value in the initial pH set, p i represents the i-th initial pH value in the initial pH set, q j represents the jth initial pH value in the screening pH set, and n represents that there are n initial pH values ​​in the screening pH set;

[0056] Summarize the evaluated pH values ​​to obtain an evaluated pH value set, extract the eliminated pH value from the evaluated pH value set, wherein the eliminated pH value is the largest evaluated pH value in the evaluated pH value set, eliminate the initial pH value corresponding to the eliminated pH value from the initial pH value set to obtain an updated pH set, use the updated pH set as the initial pH set, and return to the step of obtaining the initial pH variance using the initial pH set until the initial pH variance is less than or equal to the pH variance threshold;

[0057] Record the number of rejected pH values, obtain the rejection number, and compare the rejection number with the preset rejection threshold;

[0058] If the number of eliminations is greater than the elimination threshold, the third target experimental group is obtained using the first experimental parameter group corresponding to the first target experimental group, the third target experimental group is used as the first target experimental group, and the step of obtaining the initial pH set based on the fish slurry raw material liquid group corresponding to the first target experimental group is returned;

[0059] If the elimination number is less than or equal to the elimination threshold, the first target experimental group is confirmed as the second target experimental group, the second target experimental groups are aggregated to obtain multiple second target experimental groups, and a fitting database is confirmed based on the multiple second target experimental groups.

[0060] Optionally, the confirming a fitting database based on the plurality of second target experimental groups comprises:

[0061] The following operations are performed on each of the multiple second target experimental groups:

[0062] The following operations are performed on each of the multiple fish soluble slurry raw material liquids corresponding to the second target experimental group:

[0063] Using the first pH value and the fish soluble slurry raw material liquid corresponding to the second target experimental group to obtain an adjusted fish soluble slurry raw material liquid, performing an enzymatic hydrolysis operation on the adjusted fish soluble slurry raw material liquid based on the first temperature value, the first protease concentration value and the first enzymatic hydrolysis time corresponding to the second target experimental group to obtain an enzymatic hydrolysis raw material liquid;

[0064] Using a pre-constructed acid-soluble protein content detection method and the enzymatic hydrolysis raw material solution to obtain the acid-soluble protein content, summarizing the acid-soluble protein content to obtain an acid-soluble protein content set;

[0065] Obtaining a mean value of the acid-soluble protein content according to the acid-soluble protein content set, wherein the mean value of the acid-soluble protein content is the mean value of multiple acid-soluble protein contents in the acid-soluble protein content set;

[0066] Summarizing the acid-soluble protein content means to obtain an acid-soluble protein content mean set, and performing a sorting operation on the acid-soluble protein content means in the acid-soluble protein content mean set in descending order of the acid-soluble protein content means to obtain an acid-soluble protein content sequence;

[0067] A target acid-soluble protein sequence is obtained based on the acid-soluble protein content sequence and a preset acid-soluble protein threshold, wherein the target acid-soluble protein sequence includes multiple target acid-soluble protein contents, and the target acid-soluble protein content is greater than or equal to the acid-soluble protein threshold, and the fitting database is confirmed using the target acid-soluble protein sequence.

[0068] Optionally, the step of using the target acid-soluble protein sequence to identify a fitting database comprises:

[0069] The following operations are performed for each target acid-soluble protein content in the target acid-soluble protein sequence:

[0070] The comprehensive evaluation value is calculated based on the target acid-soluble protein content and a pre-constructed comprehensive evaluation relationship, wherein the comprehensive evaluation relationship is as follows:

[0071]

[0072] Among them, Z represents the comprehensive evaluation value, m represents the target acid-soluble protein content, α, τ, and β are all preset coefficients, and e phrepresents the unit energy consumption when adjusting the pH value, c1 represents the pH value corresponding to the first pH value, v0 represents the volume of the fish slurry raw material liquid, c2 represents the pH value of the fish slurry raw material liquid corresponding to the initial pH value, e(t,r) represents the energy consumption required to maintain the temperature during the enzymatic hydrolysis operation at the first temperature value and the time during the enzymatic hydrolysis operation at the first enzymatic hydrolysis time, wherein t represents the first enzymatic hydrolysis time, r represents the first temperature value, and ... o represents the energy consumption required to configure the protease concentration to the first protease concentration value;

[0073] Summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set, and confirming a target enzymatic hydrolysis parameter group based on the comprehensive evaluation value set, wherein the target enzymatic hydrolysis parameter group is a first experimental parameter group corresponding to the largest comprehensive evaluation value in the comprehensive evaluation value set;

[0074] A fitting database is identified using the target enzymatic hydrolysis parameter set.

[0075] Optionally, the step of using the target enzymatic hydrolysis parameter group to identify a fitting database comprises:

[0076] The enzymatic hydrolysis raw material liquid corresponding to the target enzymatic hydrolysis parameter group is introduced into a pre-constructed vacuum concentration tank, and a vacuum concentration operation is performed on the enzymatic hydrolysis raw material liquid using the vacuum concentration tank into which the enzymatic hydrolysis raw material liquid is introduced, and the time when the vacuum concentration operation is started is used as the starting time, and a stock solution concentration group time sequence is obtained using a pre-constructed concentration detector set, a preset detection time interval, and the enzymatic hydrolysis raw material liquid in the vacuum concentration operation, wherein the concentration detector set includes a plurality of concentration detectors, the stock solution concentration group time sequence includes a plurality of stock solution concentration groups, and the stock solution concentration group includes a plurality of stock solution detection concentrations, wherein the stock solution detection concentrations correspond one-to-one to the concentration detectors;

[0077] Perform the following operations for each stock solution concentration group in the stock solution concentration group time series:

[0078] Calculating a detection concentration value using the stock solution concentration group and a pre-constructed concentration evaluation relationship, and comparing the detection concentration value with a preset detection concentration threshold;

[0079] If the detected concentration value is less than the detected concentration threshold, the time corresponding to the detected concentration value is taken as the end time, the vacuum concentration time is obtained using the start time and the end time, and the fitting database is confirmed based on the vacuum concentration time.

[0080] Optionally, the concentration evaluation relationship is as follows:

[0081]

[0082] Among them, Y represents the detection concentration value, x krepresents the kth stock solution detection concentration among multiple stock solution detection concentrations, d represents a total of d stock solution detection concentrations, ω k represents the preset kth coefficient, and σ represents the variance of the detection concentrations of multiple stock solutions.

[0083] Optionally, the confirming a fitting database based on the vacuum concentration time comprises:

[0084] Associating the fish identification species, protease, and vacuum concentration time corresponding to the target enzymatic hydrolysis parameter group with the target enzymatic hydrolysis parameter group to obtain a production parameter group;

[0085] The production parameter groups are summarized to obtain a production parameter group set, and a fitting database is constructed based on the production parameter group set.

[0086] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0087] at least one processor; and,

[0088] a memory communicatively connected to the at least one processor; wherein,

[0089] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned automated production method for preparing fish slurry.

[0090] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned automated production method for preparing fish slurry.

[0091] Compared with the problem described in the background technology, the present invention confirms receiving the data fitting instruction from the data fitting unit, and confirms the fitting database based on the data fitting instruction. It can be seen that the present invention screens different types of fish when confirming the fitting database, and then, using the same type of fish to fit the parameters required for the production of fish slurry can improve the accuracy of obtaining the fitting database. When using the same type of fish, the fish is crushed to a preset proportion, that is, the first crushed raw material set is obtained. It can be seen that the embodiment of the present invention takes into account that the volume of the fish may affect the accuracy of the confirmation of the parameters required for the production of fish slurry, and then, obtaining the first crushed raw material set can improve the accuracy of obtaining the production parameters of fish slurry. Then, in a combined form, multiple first temperature values, multiple first pH values, multiple first protease concentration values ​​and multiple first enzymatic hydrolysis times are used to obtain multiple first experimental parameter groups. It can be seen that the present invention takes into account the protein suitable for different types of fish. The optimal temperature, optimal pH, and optimal concentration values ​​of enzymes and proteases are different. Therefore, by obtaining multiple first experimental parameter groups, more accurate parameters can be obtained. The present invention calculates the comprehensive evaluation value based on the target acid-soluble protein content and the pre-constructed comprehensive evaluation relationship, and confirms the target enzymatic hydrolysis parameter group based on the comprehensive evaluation value set, wherein the target enzymatic hydrolysis parameter group is the first experimental parameter group corresponding to the largest comprehensive evaluation value in the comprehensive evaluation value set. It can be seen that the present invention uses the target acid-soluble protein content and the required energy consumption for evaluating the quality of the fish soluble slurry to confirm the target enzymatic hydrolysis parameter group in the comprehensive evaluation value set, so that when the target enzymatic hydrolysis parameter group is used to prepare the fish soluble slurry, it can not only meet the quality requirements for preparing the fish soluble slurry, but also reduce the energy consumption required for preparing the fish soluble slurry. The vacuum concentration time is obtained using the start time and the end time. It can be seen that the embodiment of the present invention also considers the time required to obtain the vacuum concentration stage, thereby improving the degree of automation of the production of the fish soluble slurry. A fermentation enzyme type set and a raw material fish type set are retrieved from the fitting database, and the fermentation enzyme type set and the raw material fish type set are sent to the initiator of the automated production instruction. A parameter input unit is used to receive the target fermentation enzyme type and the target raw material fish type selected by the user from the fermentation enzyme type set and the raw material fish type set. The target production parameter group is retrieved from the fitting database using the target fermentation enzyme type and the target raw material fish type. The parameters required for producing fish soluble slurry under different conditions are obtained by the user selecting the parameters, thereby improving the accuracy of parameter setting during the production of fish soluble slurry. Therefore, the automated production method, device, electronic device and computer-readable storage medium for preparing fish soluble slurry proposed in the present invention mainly aim to solve the problems of inaccurate parameter setting during the production of fish soluble slurry and energy waste during the production of fish soluble slurry. BRIEF DESCRIPTION OF THE DRAWINGS

[0092] Figure 1 A schematic flow chart of an automated production method for preparing fish slurry provided in one embodiment of the present invention;

[0093] Figure 2 A schematic diagram of the structure of an electronic device for implementing the automated production method for preparing fish slurry provided in one embodiment of the present invention.

[0094] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0095] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0096] The embodiment of the present application provides an automated production method for preparing fish soluble slurry. The execution subject of the automated production method for preparing fish soluble slurry includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the automated production method for preparing fish soluble slurry can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0097] Embodiment 1:

[0098] Reference Figure 1 FIG. 2 is a flow chart of an automated production method for preparing fish soluble slurry provided by an embodiment of the present invention. In this embodiment, the automated production method for preparing fish soluble slurry includes:

[0099] S1. Receive an automated production instruction, and confirm an automated production system based on the automated production instruction, wherein the automated production system includes a data fitting unit, a parameter input unit, and an automated production unit.

[0100] It should be explained that the automated production instructions are instructions issued by the production personnel of the fish soluble slurry. The automated production system refers to an APP or applet used to combine automated production equipment to realize the automated production of fish soluble slurry, and the automated production system includes a data fitting unit, a parameter input unit and an automatic production unit. For the application of the specific units, please refer to the subsequent embodiments. The main purpose of the embodiments of the present invention is to realize the automated production of fish soluble slurry, improve the accuracy of the parameters required for the production of fish soluble slurry, and reduce the energy consumption required for the automated production of fish soluble slurry.

[0101] For example, Xiao Zhang, as the person in charge of the fish slurry production line, in order to realize the automated production of fish slurry and reduce the energy consumption required in the production process during automated production, therefore, Xiao Zhang issues the automated production instructions and confirms the automated production system.

[0102] S2. Confirm receipt of a data fitting instruction from a data fitting unit, and confirm a fitting database based on the data fitting instruction.

[0103] It is understandable that the step of confirming the fitting database based on the data fitting instruction includes:

[0104] Acquire an initial raw material fish set for producing fish slurry, wherein the initial raw material fish set includes a plurality of initial raw material fish, and acquire a fish identification model set based on the data fitting instruction, wherein the fish identification model set includes a plurality of fish identification models;

[0105] The following operations are performed on the initial raw material fish in the initial raw material fish set in sequence:

[0106] Using the initial raw material fish and the fish identification model set to obtain an identification type set, wherein the identification type set includes a plurality of fish identification types, and the fish identification types correspond to the fish identification models one by one;

[0107] According to the fish identification species, respectively counting the number of fish identification species in the identification species set to obtain an identification species quantity set, wherein the identification species quantity set includes one or more identification species quantities;

[0108] For each of the one or more identification type quantities, the following operations are performed:

[0109] Using the fish identification species corresponding to the identification species quantity, a marking operation is performed on the identification species quantity to obtain the marked identification species;

[0110] Summarizing the identification types to obtain an identification type set, and performing a sorting operation on the identification types in the identification type set in descending order of the number of identification types to obtain an identification sequence;

[0111] Extracting a first identification category and a second identification category from the identification sequence, calculating an absolute difference between the number of identification categories corresponding to the first identification category and the number of identification categories corresponding to the second identification category, and obtaining an evaluation difference;

[0112] Comparing the evaluation difference with a preset evaluation threshold;

[0113] If the evaluation difference is greater than or equal to the evaluation threshold, confirming that the type of the initial raw material fish is the fish identification type corresponding to the first identification type;

[0114] If the evaluation difference is less than the evaluation threshold, the initial raw material fish is discarded;

[0115] The initial raw material fish are respectively summarized according to the fish identification types to obtain one or more target raw material fish sets;

[0116] A fitting database is identified based on the one or more target raw material fish sets.

[0117] It should be explained that the initial raw material fish refers to the raw material used to produce fish slurry, that is, fish. The fish identification model refers to a model that can identify the type of fish. Optionally, YOLOv5s is used as the fish identification model, and other technologies can achieve the same effect, which will not be repeated here. The fish identification type refers to the result of the identification of the initial raw material fish after using the fish identification model to identify the type.

[0118] It is understandable that different fish identification models correspond to different structures or training processes. Therefore, when different fish identification models are used to identify the species of the same fish, different results may be produced. Since the fish identification model cannot accurately identify the fish species, when the evaluation difference is greater than or equal to the evaluation threshold, the result of the species identification of the initial raw material fish is considered to be credible. When the evaluation difference is less than the evaluation threshold, the result of the species identification of the initial raw material fish is considered to be unreliable. The reason for the evaluation difference being less than the evaluation threshold may be: the rot, damage, etc. of the initial raw material fish, which leads to inaccurate results of the species identification of the initial raw material fish. Therefore, the initial raw material fish needs to be eliminated to improve the safety of the produced fish slurry. When confirming the fitting database, the purpose of eliminating the initial raw material fish is to improve the accuracy of the data in the fitting database.

[0119] Exemplarily, the evaluation threshold is 2, and the fish identification model set includes 5 fish identification models. The results of identifying the initial raw material fish using the fish identification model set are: grass carp, grass carp, grass carp, bighead carp and carp. According to the fish identification types, the number of fish identification types in the identification type set is counted respectively, and 3 identification types can be obtained. The 3 identification types are 3, 1 and 1 respectively. The identification type numbers are identified using the fish identification types corresponding to the identification type numbers, and the identification types can be identified as: 1-bighead carp, 1-carp and 3-grass carp respectively. The identification type set is composed of: 1-bighead carp, 1-carp and 3-grass carp. The identification type is sorted in descending order of the number of identification types, and an identification sequence of 3-grass carp, 1-bighead carp and 1-carp can be obtained. The evaluation difference is 2 based on the identification sequence. After confirming that the evaluation difference is greater than or equal to the evaluation threshold, it is confirmed that the type of the initial raw material fish is grass carp.

[0120] Further, the step of identifying a fitting database based on the one or more target raw material fish sets includes:

[0121] The following operations are performed for each of the one or more target raw material fish sets:

[0122] Performing a crushing operation on the target raw material fish set to obtain an initial crushed raw material set, and performing a screening operation on the initial crushed raw material set using a pre-built raw material screening machine to obtain a first screened raw material set and a second screened raw material set;

[0123] Weighing the first screening raw material set and the second screening raw material set respectively to obtain a first screening mass and a second screening mass;

[0124] Calculating a quality threshold using a preset ratio value and the second screening quality, wherein the quality threshold is the product of the second screening quality and the ratio value, and comparing the quality threshold with the first screening quality;

[0125] If the first screening quality is greater than the quality threshold, the first screening raw material set is used as the target raw material fish set, and the process returns to the step of performing the crushing operation on the target raw material fish set until the first screening quality is less than or equal to the quality threshold;

[0126] If the first screening quality is less than or equal to the quality threshold, the first screening raw material set and the second screening raw material set are aggregated to obtain a first crushing raw material set;

[0127] Using a preset quality threshold, the first crushed raw material set is divided into a plurality of second crushed raw material sets, wherein the quality corresponding to the second crushed raw material set is the quality threshold;

[0128] The following operations are performed on each of the plurality of second crushed raw material sets:

[0129] The second crushed raw material set is introduced into a pre-constructed storage tank, and water with a preset volume threshold is introduced into the storage tank to obtain an initial hydrolyzed liquid, and the initial hydrolyzed liquid is introduced into a pre-constructed cooking tank, and the initial hydrolyzed liquid is cooked by the cooking tank into which the initial hydrolyzed liquid is introduced to obtain a target hydrolyzed liquid;

[0130] Performing a squeezing operation on the target hydrolyzate to obtain an initial fish juice, and performing a defatting operation on the initial fish juice to obtain a fish slurry raw material liquid;

[0131] The fish soluble pulp raw material liquids are aggregated to obtain a plurality of fish soluble pulp raw material liquids, and a fitting database is confirmed based on the plurality of fish soluble pulp raw material liquids.

[0132] It should be understood that the purpose of performing a crushing operation on the target raw material fish set is to increase the contact area between the initial crushed raw material set and water during the cooking process, thereby improving the efficiency of cooking the initial crushed raw material set. Optionally, a fish crusher is used to perform a crushing operation on the target raw material fish set to obtain an initial crushed raw material set. Optionally, a vibrating screening machine is used to perform a screening operation on the initial crushed raw material set. Other technologies can achieve the same effect, which will not be repeated here.

[0133] It is understandable that the first screening raw material set is the initial crushed raw material that cannot be screened, and the second screening raw material set refers to the initial crushed raw material that can be screened. Optionally, a pressure sensor is used to perform weighing operations on the first screening raw material set and the second screening raw material set respectively to obtain the first screening mass and the second screening mass. Other technologies can achieve the same effect, which will not be repeated here. The purpose of comparing the quality threshold and the first screening mass is to verify whether the process of crushing the target raw material fish set can meet the requirements. When the first screening mass is less than or equal to the quality threshold, it indicates that the crushing degree of the target raw material fish set is sufficient, that is, the crushing requirements are met, otherwise. Optionally, a steel-lined polyethylene storage tank is used as the storage tank, and other technologies can achieve the same effect, which will not be repeated here. The purpose of introducing the second crushed raw material set into the storage tank is to configure the second crushed raw material set as an initial hydrolyzate that can be used for cooking according to the quality threshold. Optionally, a steam-heated cooking tank is used as the cooking tank, and other technologies can achieve the same effect, which will not be repeated here. The cooking operation refers to the process of heating the initial hydrolyzate to boiling, and the technology of the cooking operation is prior art and will not be described in detail here.

[0134] It should be understood that the purpose of performing a steaming operation on the initial hydrolyzate is to prepare for subsequent enzymatic hydrolysis, and in the process of steaming, the water-soluble proteins, amino acids and other components of the fish species can be extracted to provide more abundant raw materials for the subsequent production of fish slurry, so as to improve the utilization rate of the initial hydrolyzate, and thus avoid the problem of waste of resources caused by the low utilization rate of the initial hydrolyzate. Optionally, a screw press is used to perform a squeezing operation on the target hydrolyzate. The same effect can be achieved by using other technologies, which will not be repeated here. The purpose of squeezing the target hydrolyzate is to extract the liquid in the target hydrolyzate, and here, the liquid in the target hydrolyzate is the initial fish juice. Optionally, a centrifugal separation method is used to perform a degreasing operation on the initial fish juice. The same effect can be achieved by using other technologies, which will not be repeated here. The degreasing operation refers to the operation of removing fat from the initial fish juice.

[0135] Further, the step of confirming a fitting database based on the plurality of fish slurry raw material solutions comprises:

[0136] Using a preset grouping threshold and a plurality of fish-soluble slurry raw material liquids to obtain a plurality of fish-soluble slurry raw material liquid groups, wherein the fish-soluble slurry raw material liquid group includes a plurality of fish-soluble slurry raw material liquids, and the number corresponding to the plurality of fish-soluble slurry raw material liquids is the grouping threshold;

[0137] Obtaining a protease type set for enzymatic hydrolysis, wherein the protease type set includes a plurality of proteases;

[0138] For each of the multiple proteases, perform the following:

[0139] Based on the protease, a parameter range set is obtained, wherein the parameter range set includes: temperature range, pH range, protease concentration range and enzymolysis time range;

[0140] Utilizing the preset first temperature division value, extracting a plurality of first temperature values ​​in the temperature range, and obtaining a plurality of first pH values, a plurality of first protease concentration values, and a plurality of first enzymolysis times based on the pH range, the protease concentration range, and the enzymolysis time range, respectively;

[0141] In a combined form, a plurality of first temperature values, a plurality of first pH values, a plurality of first protease concentration values ​​and a plurality of first enzymatic hydrolysis times are used to obtain a plurality of first experimental parameter groups, wherein the first experimental parameter group includes a first temperature value, a first pH value, a first protease concentration value and a first enzymatic hydrolysis time;

[0142] Using the multiple first experimental parameter groups and the multiple fish soluble slurry raw material liquid groups, a plurality of first target experimental groups are obtained, wherein the first target experimental group includes the first experimental parameter group and the fish soluble slurry raw material liquid group, and the first experimental parameter group corresponds to the fish soluble slurry raw material liquid group one by one;

[0143] A fitting database is identified based on the plurality of first target experimental groups.

[0144] It is understandable that the purpose of using the grouping threshold to divide multiple fish soluble pulp raw material liquids into multiple fish soluble pulp raw material liquid groups is to improve the accuracy of subsequent protease activity testing and avoid the problem of inaccurate confirmation of the optimal parameters corresponding to the protease activity due to accidental factors. The protease refers to a protease used for enzymolysis of the fish soluble pulp raw material liquid. Optionally, the protease is a neutral protease, an alkaline protease, etc.

[0145] It should be explained that the temperature range, pH range, protease concentration range and enzymolysis time range all refer to the temperature range, pH range, concentration range and time range within which a certain protease can perform enzymolysis, and the pH range can be represented by a pH value. Generally, the temperature range, pH range, protease concentration range and enzymolysis time range can be obtained based on experience.

[0146] It should be understood that the first temperature division value refers to a value used to uniformly extract multiple first temperature values ​​in the temperature range. For example: the temperature range is 30 degrees Celsius to 40 degrees Celsius, and the first temperature division value is 11, then 11 first temperature values ​​can be extracted in the temperature range using the first temperature division value, wherein the 11 first temperature values ​​are: 30 degrees Celsius, 31 degrees Celsius, 32 degrees Celsius, 33 degrees Celsius, 34 degrees Celsius, 35 degrees Celsius, 36 degrees Celsius, 37 degrees Celsius, 38 degrees Celsius, 39 degrees Celsius and 40 degrees Celsius, and the method of obtaining multiple first pH values, multiple first protease concentration values ​​and multiple first enzymolysis times based on the pH range, protease concentration range and enzymolysis time range is the same as the method of extracting multiple first temperature values ​​in the temperature range using the first temperature division value, and can achieve the same effect, which will not be repeated here.

[0147] Exemplarily, the number of first temperature values ​​is 2, the number of first pH values ​​is 2, the number of first protease concentration values ​​is 2, and the first enzymatic hydrolysis time is 2, then 16 first experimental parameter groups can be obtained in a combined manner.

[0148] It should be noted that the step of confirming a fitting database according to the plurality of first target experimental groups includes:

[0149] The following operations are performed on each of the multiple first target experimental groups:

[0150] Acquire an initial pH set based on the fish soluble slurry raw material liquid group corresponding to the first target experimental group, wherein the initial pH set includes a plurality of initial pH values, and the initial pH values ​​correspond one to one with the fish soluble slurry raw material liquid;

[0151] Obtaining an initial pH variance using the initial pH set, wherein the initial pH variance is a variance of a plurality of initial pH values ​​in the initial pH set;

[0152] The initial pH variance is compared with a preset pH variance threshold. If the initial pH variance is greater than the pH variance threshold, the following operations are performed on each initial pH value in the initial pH set:

[0153] Using the initial pH set and the initial pH value to obtain a screening pH set, wherein the screening pH set is the complement of the initial pH value in the initial pH set;

[0154] The evaluation pH value is calculated based on the initial pH value and the screening pH set, and the calculation formula is as follows:

[0155]

[0156] Among them, P irepresents the estimated pH value corresponding to the i-th initial pH value in the initial pH set, p i represents the i-th initial pH value in the initial pH set, q j represents the jth initial pH value in the screening pH set, and n represents that there are n initial pH values ​​in the screening pH set;

[0157] Summarize the evaluated pH values ​​to obtain an evaluated pH value set, extract the eliminated pH value from the evaluated pH value set, wherein the eliminated pH value is the largest evaluated pH value in the evaluated pH value set, eliminate the initial pH value corresponding to the eliminated pH value from the initial pH value set to obtain an updated pH set, use the updated pH set as the initial pH set, and return to the step of obtaining the initial pH variance using the initial pH set until the initial pH variance is less than or equal to the pH variance threshold;

[0158] Record the number of rejected pH values, obtain the rejection number, and compare the rejection number with the preset rejection threshold;

[0159] If the number of eliminations is greater than the elimination threshold, the third target experimental group is obtained using the first experimental parameter group corresponding to the first target experimental group, the third target experimental group is used as the first target experimental group, and the step of obtaining the initial pH set based on the fish slurry raw material liquid group corresponding to the first target experimental group is returned;

[0160] If the elimination number is less than or equal to the elimination threshold, the first target experimental group is confirmed as the second target experimental group, the second target experimental groups are aggregated to obtain multiple second target experimental groups, and a fitting database is confirmed based on the multiple second target experimental groups.

[0161] It should be explained that the initial pH value is the pH value of the fish soluble slurry raw material liquid. Optionally, a pH meter is used to test the initial pH value of the fish soluble slurry raw material liquid. Other technologies can achieve the same effect, which will not be repeated here. When the initial pH variance is greater than the pH variance threshold, it indicates that there may be spoiled fish in the fish soluble slurry raw material liquid. The difference from the fish recognition model to identify fish is that the fish recognition model mostly recognizes the fish through the appearance of the fish, and the same fish may deteriorate without damaging the appearance.

[0162] It can be understood that the evaluation pH value can evaluate the degree of deviation of the initial pH value relative to the mean value corresponding to multiple initial pH values ​​in the screening pH set. The larger the evaluation pH value, the greater the degree of deviation of the initial pH value corresponding to the evaluation pH value, that is, the greater the possibility that the evaluation pH value contains spoiled fish or is misidentified as the same type of fish.

[0163] It should be understood that when the number of rejections is greater than or equal to the rejection threshold, it indicates that there are a large number of spoiled or misidentified fish of the same species in the first target experimental group. Therefore, using the first target experimental group for the experiment will lead to inaccurate experimental results or accidental experimental results. For specific experimental steps, please refer to the subsequent embodiments. The method of obtaining the third target experimental group using the first experimental parameter group corresponding to the first target experimental group is the same as the method of obtaining the first target experimental group using the first experimental parameter group, and can achieve the same effect, which will not be repeated here.

[0164] Further, the confirming a fitting database based on the plurality of second target experimental groups comprises:

[0165] The following operations are performed on each of the multiple second target experimental groups:

[0166] The following operations are performed on each of the multiple fish soluble slurry raw material liquids corresponding to the second target experimental group:

[0167] Using the first pH value and the fish soluble slurry raw material liquid corresponding to the second target experimental group to obtain an adjusted fish soluble slurry raw material liquid, performing an enzymatic hydrolysis operation on the adjusted fish soluble slurry raw material liquid based on the first temperature value, the first protease concentration value and the first enzymatic hydrolysis time corresponding to the second target experimental group to obtain an enzymatic hydrolysis raw material liquid;

[0168] Using a pre-constructed acid-soluble protein content detection method and the enzymatic hydrolysis raw material solution to obtain the acid-soluble protein content, summarizing the acid-soluble protein content to obtain an acid-soluble protein content set;

[0169] Obtaining a mean value of the acid-soluble protein content according to the acid-soluble protein content set, wherein the mean value of the acid-soluble protein content is the mean value of multiple acid-soluble protein contents in the acid-soluble protein content set;

[0170] Summarizing the acid-soluble protein content means to obtain an acid-soluble protein content mean set, and performing a sorting operation on the acid-soluble protein content means in the acid-soluble protein content mean set in descending order of the acid-soluble protein content means to obtain an acid-soluble protein content sequence;

[0171] A target acid-soluble protein sequence is obtained based on the acid-soluble protein content sequence and a preset acid-soluble protein threshold, wherein the target acid-soluble protein sequence includes multiple target acid-soluble protein contents, and the target acid-soluble protein content is greater than or equal to the acid-soluble protein threshold, and the fitting database is confirmed using the target acid-soluble protein sequence.

[0172] It is understandable that the acid-soluble protein content detection method is a method capable of detecting the acid-soluble protein content in the enzymatic hydrolysis raw material liquid. Optionally, the Kjeldahl nitrogen determination method is used as the acid-soluble protein content detection method, and other technologies can achieve the same effect, which will not be repeated here. Acid-soluble protein refers to a protein that can be dissolved under acidic conditions, mainly a protein hydrolyzate with a lower molecular weight, wherein the protein hydrolyzate includes peptides and free amino acids. Acid-soluble protein content refers to the content of acid-soluble protein. Using the first pH value and the fish-soluble slurry raw material liquid to obtain the adjusted fish-soluble slurry raw material liquid refers to: adjusting the pH of the fish-soluble slurry raw material liquid to the first pH value. For example: the pH value of the fish-soluble slurry raw material liquid is 8, and the first pH value is 6, then the pH value of the fish-soluble slurry raw material liquid is adjusted to 6 by adding an acidic solution to the fish-soluble slurry raw material liquid to obtain the adjusted fish-soluble slurry raw material liquid.

[0173] It should be explained that the higher the mean value of the acid-soluble protein content, the better the effect of enzymatic hydrolysis. By setting the acid-soluble protein threshold, the target acid-soluble protein content that meets the requirements can be screened out from the acid-soluble protein content sequence.

[0174] It should be understood that the use of the target acid-soluble protein sequence to identify a fitting database includes:

[0175] The following operations are performed for each target acid-soluble protein content in the target acid-soluble protein sequence:

[0176] The comprehensive evaluation value is calculated based on the target acid-soluble protein content and a pre-constructed comprehensive evaluation relationship, wherein the comprehensive evaluation relationship is as follows:

[0177]

[0178] Among them, Z represents the comprehensive evaluation value, m represents the target acid-soluble protein content, α, τ, and β are all preset coefficients, and e ph represents the unit energy consumption when adjusting the pH value, c1 represents the pH value corresponding to the first pH value, v0 represents the volume of the fish slurry raw material liquid, c2 represents the pH value of the fish slurry raw material liquid corresponding to the initial pH value, e(t,r) represents the energy consumption required to maintain the temperature during the enzymatic hydrolysis operation at the first temperature value and the time during the enzymatic hydrolysis operation at the first enzymatic hydrolysis time, wherein t represents the first enzymatic hydrolysis time, r represents the first temperature value, and ... o represents the energy consumption required to configure the protease concentration to the first protease concentration value;

[0179] Summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set, and confirming a target enzymatic hydrolysis parameter group based on the comprehensive evaluation value set, wherein the target enzymatic hydrolysis parameter group is a first experimental parameter group corresponding to the largest comprehensive evaluation value in the comprehensive evaluation value set;

[0180] A fitting database is identified using the target enzymatic hydrolysis parameter set.

[0181] It should be understood that the greater the comprehensive evaluation value, the better the effect of enzymolysis of the fish soluble slurry raw material liquid, and the less energy consumption required. The unit energy consumption when adjusting the pH is related to the solvent and its concentration used when adjusting the pH. Optionally, a certain concentration of citric acid is used as the solvent used when adjusting the pH, then the unit energy consumption when adjusting the pH is the unit energy consumption generated when configuring the certain concentration of citric acid, and the unit energy consumption is related to the volume. Optionally, by constructing a repetitive experiment to obtain multiple energy consumption values ​​when the temperature maintained during the enzymolysis operation is the first temperature value, and the time during the enzymolysis operation is the first enzymolysis time, and the multiple energy consumption values ​​are averaged to obtain the energy consumption required when the temperature maintained during the enzymolysis operation is the first temperature value, and the time during the enzymolysis operation is the first enzymolysis time, and other technologies can achieve the same effect, which will not be repeated here. Optionally, the method for obtaining the energy consumption required to configure the protease concentration to be the first protease concentration value is the same as the method for obtaining the energy consumption required to maintain the temperature during the enzymatic hydrolysis operation at the first temperature value and the time during the enzymatic hydrolysis operation at the first enzymatic hydrolysis time, and can achieve the same effect, which will not be repeated here.

[0182] Further, the method of using the target enzymatic hydrolysis parameter group to identify a fitting database includes:

[0183] The enzymatic hydrolysis raw material liquid corresponding to the target enzymatic hydrolysis parameter group is introduced into a pre-constructed vacuum concentration tank, and a vacuum concentration operation is performed on the enzymatic hydrolysis raw material liquid using the vacuum concentration tank into which the enzymatic hydrolysis raw material liquid is introduced, and the time when the vacuum concentration operation is started is used as the starting time, and a stock solution concentration group time sequence is obtained using a pre-constructed concentration detector set, a preset detection time interval, and the enzymatic hydrolysis raw material liquid in the vacuum concentration operation, wherein the concentration detector set includes a plurality of concentration detectors, the stock solution concentration group time sequence includes a plurality of stock solution concentration groups, and the stock solution concentration group includes a plurality of stock solution detection concentrations, wherein the stock solution detection concentrations correspond one-to-one to the concentration detectors;

[0184] Perform the following operations for each stock solution concentration group in the stock solution concentration group time series:

[0185] Calculating a detection concentration value using the stock solution concentration group and a pre-constructed concentration evaluation relationship, and comparing the detection concentration value with a preset detection concentration threshold;

[0186] If the detected concentration value is less than the detected concentration threshold, the time corresponding to the detected concentration value is taken as the end time, the vacuum concentration time is obtained using the start time and the end time, and the fitting database is confirmed based on the vacuum concentration time.

[0187] It should be explained that the vacuum concentration tank is a device for performing vacuum concentration operations. Optionally, a falling film concentration device is used as the vacuum concentration tank. The same effect can be achieved by using other technologies, which will not be described in detail here. The purpose of performing a vacuum concentration operation on the enzymatic hydrolysis raw material liquid is to increase the concentration of the produced fish slurry. The vacuum concentration operation refers to the operation of freezing the enzymatic hydrolysis raw material liquid and placing it in a vacuum concentration tank with a water absorbent, and continuously vacuuming the enzymatic hydrolysis raw material liquid to achieve concentration. The technology of the vacuum concentration operation is prior art and will not be described in detail here.

[0188] It is understandable that the concentration detector refers to an instrument used to detect the enzymatic hydrolysis raw material liquid during the vacuum concentration operation. Optionally, a fish slurry concentration tester BRIX detector is used as the concentration detector. Other technologies can achieve the same effect, which will not be repeated here.

[0189] Exemplarily, the detection time interval is 5s, then part of the sample is extracted from the enzymatic hydrolysis raw liquid that is being vacuum concentrated every 5 seconds, and the concentration of the part of the sample is detected using multiple concentration detectors in the concentration detector set to obtain a stock solution concentration group. The multiple stock solution concentration groups are sorted in order from the earliest to the last time corresponding to the time of obtaining the stock solution concentration groups to obtain a stock solution concentration group time series.

[0190] Further, when the detected concentration value is less than the detected concentration threshold, it indicates that the enzymatic hydrolysis raw material solution subjected to the vacuum concentration operation meets the concentration requirement and is stable. The vacuum concentration time refers to the absolute difference between the start time and the end time.

[0191] It should be understood that the concentration estimation relationship is as follows:

[0192]

[0193] Among them, Y represents the detection concentration value, x k represents the kth stock solution detection concentration among multiple stock solution detection concentrations, d represents a total of d stock solution detection concentrations, ω k represents the preset kth coefficient, and σ represents the variance of the detection concentrations of multiple stock solutions.

[0194] It is understandable that the identification of the fitting database based on the vacuum concentration time includes:

[0195] Associating the fish identification species, protease, and vacuum concentration time corresponding to the target enzymatic hydrolysis parameter group with the target enzymatic hydrolysis parameter group to obtain a production parameter group;

[0196] The production parameter groups are summarized to obtain a production parameter group set, and a fitting database is constructed based on the production parameter group set.

[0197] Furthermore, by associating the fish identification type, protease, and vacuum concentration time corresponding to the target enzymatic hydrolysis parameter group with the target enzymatic hydrolysis parameter group, all parameters for producing fish slurry using a certain protease and a certain fish can be obtained. Generally, the remaining parameters required for producing fish slurry can be the same as the parameters set when obtaining the production parameter group. For example: vacuum degree, temperature, etc. during vacuum concentration operation.

[0198] S3. Retrieve a fermentation enzyme type set and a raw material fish type set from the fitting database, send the fermentation enzyme type set and the raw material fish type set to the initiator of the automated production instruction, and use a parameter input unit to receive the target fermentation enzyme type and the target raw material fish type selected by the user from the fermentation enzyme type set and the raw material fish type set.

[0199] It should be explained that the fermentation enzyme type set and the raw material fish type set are respectively the set of fish identification types and the set of proteases in the fitting database. The target fermentation enzyme type and the target raw material fish type are respectively the proteases and fish identification types selected by the user in the fermentation enzyme type set and the raw material fish type set.

[0200] Exemplarily, the protease type set includes 5 proteases, but there is one protease in the protease type set that cannot meet the requirements for obtaining the fitting database. Therefore, only 4 proteases can be retrieved from the fitting database, and these 4 proteases constitute the fermentation enzyme type set.

[0201] S4. Retrieve a target production parameter group from a fitting database using the target fermentation enzyme type and the target raw material fish type.

[0202] Furthermore, the target production parameter group includes a vacuum concentration time and a target enzymatic hydrolysis parameter group.

[0203] S5. Confirm receipt of the automated production instruction from the automated production unit, and realize automated production of the fish slurry based on the automated production instruction and the target production parameter group.

[0204] It is understandable that the technology of realizing the automated production of fish slurry using the target production parameter group is an existing technology and will not be described in detail here.

[0205] Exemplarily, the parameters of each device used to produce fish slurry are set according to the target production parameter group and the automatic production instructions, and the equipment with the set parameters is used to realize the automated production of fish slurry.

[0206] Compared with the problem described in the background technology, the present invention confirms receiving the data fitting instruction from the data fitting unit, and confirms the fitting database based on the data fitting instruction. It can be seen that the present invention screens different types of fish when confirming the fitting database, and then, using the same type of fish to fit the parameters required for the production of fish slurry can improve the accuracy of obtaining the fitting database. When using the same type of fish, the fish is crushed to a preset proportion, that is, the first crushed raw material set is obtained. It can be seen that the embodiment of the present invention takes into account that the volume of the fish may affect the accuracy of the confirmation of the parameters required for the production of fish slurry, and then, obtaining the first crushed raw material set can improve the accuracy of obtaining the production parameters of fish slurry. Then, in a combined form, multiple first temperature values, multiple first pH values, multiple first protease concentration values ​​and multiple first enzymatic hydrolysis times are used to obtain multiple first experimental parameter groups. It can be seen that the present invention takes into account the protein suitable for different types of fish. The optimal temperature, optimal pH, and optimal concentration values ​​of enzymes and proteases are different. Therefore, by obtaining multiple first experimental parameter groups, more accurate parameters can be obtained. The present invention calculates the comprehensive evaluation value based on the target acid-soluble protein content and the pre-constructed comprehensive evaluation relationship, and confirms the target enzymatic hydrolysis parameter group based on the comprehensive evaluation value set, wherein the target enzymatic hydrolysis parameter group is the first experimental parameter group corresponding to the largest comprehensive evaluation value in the comprehensive evaluation value set. It can be seen that the present invention uses the target acid-soluble protein content and the required energy consumption for evaluating the quality of the fish soluble slurry to confirm the target enzymatic hydrolysis parameter group in the comprehensive evaluation value set, so that when the target enzymatic hydrolysis parameter group is used to prepare the fish soluble slurry, it can not only meet the quality requirements for preparing the fish soluble slurry, but also reduce the energy consumption required for preparing the fish soluble slurry. The vacuum concentration time is obtained using the start time and the end time. It can be seen that the embodiment of the present invention also considers the time required to obtain the vacuum concentration stage, thereby improving the degree of automation of the production of the fish soluble slurry. A fermentation enzyme type set and a raw material fish type set are retrieved from the fitting database, and the fermentation enzyme type set and the raw material fish type set are sent to the initiator of the automated production instruction. A parameter input unit is used to receive the target fermentation enzyme type and the target raw material fish type selected by the user from the fermentation enzyme type set and the raw material fish type set. The target production parameter group is retrieved from the fitting database using the target fermentation enzyme type and the target raw material fish type. The parameters required for producing fish soluble slurry under different conditions are obtained by the user selecting the parameters, thereby improving the accuracy of parameter setting during the production of fish soluble slurry. Therefore, the automated production method, device, electronic device and computer-readable storage medium for preparing fish soluble slurry proposed in the present invention mainly aim to solve the problems of inaccurate parameter setting during the production of fish soluble slurry and energy waste during the production of fish soluble slurry.

[0207] Embodiment 2:

[0208] like Figure 2Detailed description is given of the structure of an electronic device for implementing an automated production method for preparing fish slurry provided by one embodiment of the present invention.

[0209] The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an automated production program for preparing fish slurry.

[0210] Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the electronic device 1. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 may not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the automated production program for the preparation of fish soluble slurry, but also be used to temporarily store data that has been output or is to be output.

[0211] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as automated production programs for fish slurry preparation, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0212] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0213] Figure 2 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 2 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0214] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0215] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0216] Optionally, the electronic device 1 may further include a user interface, which may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0217] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0218] The automatic production program for preparing fish paste stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0219] receiving an automated production instruction, and confirming an automated production system based on the automated production instruction, wherein the automated production system includes a data fitting unit, a parameter input unit, and an automated production unit;

[0220] confirming receipt of a data fitting instruction from a data fitting unit, and confirming a fitting database based on the data fitting instruction;

[0221] Retrieving a fermentation enzyme type set and a raw material fish type set from a fitting database, sending the fermentation enzyme type set and the raw material fish type set to an initiator of an automated production instruction, and using a parameter input unit to receive target fermentation enzyme types and target raw material fish types selected by a user from the fermentation enzyme type set and the raw material fish type set;

[0222] Retrieving a target production parameter group from a fitting database using target fermentation enzyme species and target raw material fish species;

[0223] Confirm receipt of the automated production instruction from the automated production unit, and based on the automated production instruction and the target production parameter group, realize automated production of the fish slurry.

[0224] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 to Figure 2 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0225] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0226] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0227] receiving an automated production instruction, and confirming an automated production system based on the automated production instruction, wherein the automated production system includes a data fitting unit, a parameter input unit, and an automated production unit;

[0228] confirming receipt of a data fitting instruction from a data fitting unit, and confirming a fitting database based on the data fitting instruction;

[0229] Retrieving a fermentation enzyme type set and a raw material fish type set from a fitting database, sending the fermentation enzyme type set and the raw material fish type set to an initiator of an automated production instruction, and using a parameter input unit to receive target fermentation enzyme types and target raw material fish types selected by a user from the fermentation enzyme type set and the raw material fish type set;

[0230] Retrieving a target production parameter group from a fitting database using target fermentation enzyme species and target raw material fish species;

[0231] Confirm receipt of the automated production instruction from the automated production unit, and based on the automated production instruction and the target production parameter group, realize automated production of the fish slurry.

[0232] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0233] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0234] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0235] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An automated production method for preparing fish slurry, characterized in that: The method comprises: receiving an automated production instruction, and confirming an automated production system based on the automated production instruction, wherein the automated production system includes a data fitting unit, a parameter input unit, and an automated production unit; confirming receipt of a data fitting instruction from a data fitting unit, and confirming a fitting database based on the data fitting instruction; Retrieving a fermentation enzyme type set and a raw material fish type set from a fitting database, sending the fermentation enzyme type set and the raw material fish type set to an initiator of an automated production instruction, and using a parameter input unit to receive target fermentation enzyme types and target raw material fish types selected by a user from the fermentation enzyme type set and the raw material fish type set; Retrieving a target production parameter group from a fitting database using target fermentation enzyme species and target raw material fish species; Confirm receipt of the automated production instruction from the automated production unit, and based on the automated production instruction and the target production parameter group, realize automated production of the fish slurry.

2. The automated production method for preparing fish slurry according to claim 1, characterized in that: The step of confirming a fitting database based on the data fitting instruction includes: Acquire an initial raw material fish set for producing fish slurry, wherein the initial raw material fish set includes a plurality of initial raw material fish, and acquire a fish identification model set based on the data fitting instruction, wherein the fish identification model set includes a plurality of fish identification models; The following operations are performed on the initial raw material fish in the initial raw material fish set in sequence: Using the initial raw material fish and the fish identification model set to obtain an identification type set, wherein the identification type set includes a plurality of fish identification types, and the fish identification types correspond to the fish identification models one by one; According to the fish identification species, respectively counting the number of fish identification species in the identification species set to obtain an identification species quantity set, wherein the identification species quantity set includes one or more identification species quantities; For each of the one or more identification type quantities, the following operations are performed: Using the fish identification species corresponding to the identification species quantity, a marking operation is performed on the identification species quantity to obtain the marked identification species; Summarizing the identification types to obtain an identification type set, and performing a sorting operation on the identification types in the identification type set in descending order of the number of identification types to obtain an identification sequence; Extracting a first identification category and a second identification category from the identification sequence, calculating an absolute difference between the number of identification categories corresponding to the first identification category and the number of identification categories corresponding to the second identification category, and obtaining an evaluation difference; Comparing the evaluation difference with a preset evaluation threshold; If the evaluation difference is greater than or equal to the evaluation threshold, confirming that the type of the initial raw material fish is the fish identification type corresponding to the first identification type; If the evaluation difference is less than the evaluation threshold, the initial raw material fish is discarded; The initial raw material fish are respectively summarized according to the fish identification types to obtain one or more target raw material fish sets; A fitting database is identified based on the one or more target raw material fish sets.

3. The automated production method for preparing fish slurry according to claim 2, characterized in that: The step of identifying a matching database based on the one or more target raw material fish sets comprises: The following operations are performed for each of the one or more target raw material fish sets: Performing a crushing operation on the target raw material fish set to obtain an initial crushed raw material set, and performing a screening operation on the initial crushed raw material set using a pre-built raw material screening machine to obtain a first screened raw material set and a second screened raw material set; Weighing the first screening raw material set and the second screening raw material set respectively to obtain a first screening mass and a second screening mass; Calculating a quality threshold using a preset ratio value and the second screening quality, wherein the quality threshold is the product of the second screening quality and the ratio value, and comparing the quality threshold with the first screening quality; If the first screening quality is greater than the quality threshold, the first screening raw material set is used as the target raw material fish set, and the process returns to the step of performing the crushing operation on the target raw material fish set until the first screening quality is less than or equal to the quality threshold; If the first screening quality is less than or equal to the quality threshold, the first screening raw material set and the second screening raw material set are aggregated to obtain a first crushing raw material set; Using a preset quality threshold, the first crushed raw material set is divided into a plurality of second crushed raw material sets, wherein the quality corresponding to the second crushed raw material set is the quality threshold; The following operations are performed on each of the plurality of second crushed raw material sets: The second crushed raw material set is introduced into a pre-constructed storage tank, and water with a preset volume threshold is introduced into the storage tank to obtain an initial hydrolyzed liquid, and the initial hydrolyzed liquid is introduced into a pre-constructed cooking tank, and the initial hydrolyzed liquid is cooked by the cooking tank into which the initial hydrolyzed liquid is introduced to obtain a target hydrolyzed liquid; Performing a squeezing operation on the target hydrolyzate to obtain an initial fish juice, and performing a defatting operation on the initial fish juice to obtain a fish slurry raw material liquid; The fish soluble raw material liquids are aggregated to obtain a plurality of fish soluble raw material liquids, and a fitting database is confirmed based on the plurality of fish soluble raw material liquids.

4. The automated production method for preparing fish slurry according to claim 3, characterized in that: The step of confirming a fitting database based on the plurality of fish slurry raw materials comprises: Using a preset grouping threshold and a plurality of fish-soluble slurry raw material liquids to obtain a plurality of fish-soluble slurry raw material liquid groups, wherein the fish-soluble slurry raw material liquid group includes a plurality of fish-soluble slurry raw material liquids, and the number corresponding to the plurality of fish-soluble slurry raw material liquids is the grouping threshold; Obtaining a protease type set for enzymatic hydrolysis, wherein the protease type set includes a plurality of proteases; For each of the multiple proteases, perform the following: Based on the protease, a parameter range set is obtained, wherein the parameter range set includes: temperature range, pH range, protease concentration range and enzymolysis time range; Utilizing the preset first temperature division value, extracting a plurality of first temperature values ​​in the temperature range, and obtaining a plurality of first pH values, a plurality of first protease concentration values, and a plurality of first enzymolysis times based on the pH range, the protease concentration range, and the enzymolysis time range, respectively; In a combined form, a plurality of first temperature values, a plurality of first pH values, a plurality of first protease concentration values ​​and a plurality of first enzymatic hydrolysis times are used to obtain a plurality of first experimental parameter groups, wherein the first experimental parameter group includes a first temperature value, a first pH value, a first protease concentration value and a first enzymatic hydrolysis time; Using the multiple first experimental parameter groups and the multiple fish soluble slurry raw material liquid groups, a plurality of first target experimental groups are obtained, wherein the first target experimental group includes the first experimental parameter group and the fish soluble slurry raw material liquid group, and the first experimental parameter group corresponds to the fish soluble slurry raw material liquid group one by one; A fitting database is identified based on the plurality of first target experimental groups.

5. The automated production method for preparing fish slurry according to claim 4, characterized in that: The step of confirming a fitting database according to the plurality of first target experimental groups comprises: The following operations are performed on each of the multiple first target experimental groups: Acquire an initial pH set based on the fish soluble slurry raw material liquid group corresponding to the first target experimental group, wherein the initial pH set includes a plurality of initial pH values, and the initial pH values ​​correspond one to one with the fish soluble slurry raw material liquid; Obtaining an initial pH variance using the initial pH set, wherein the initial pH variance is a variance of a plurality of initial pH values ​​in the initial pH set; The initial pH variance is compared with a preset pH variance threshold. If the initial pH variance is greater than the pH variance threshold, the following operations are performed on each initial pH value in the initial pH set: Using the initial pH set and the initial pH value to obtain a screening pH set, wherein the screening pH set is the complement of the initial pH value in the initial pH set; The evaluation pH value is calculated based on the initial pH value and the screening pH set, and the calculation formula is as follows: Among them, P i represents the estimated pH value corresponding to the i-th initial pH value in the initial pH set, p i represents the i-th initial pH value in the initial pH set, q j represents the jth initial pH value in the screening pH set, and n represents that there are n initial pH values ​​in the screening pH set; Summarize the evaluated pH values ​​to obtain an evaluated pH value set, extract the eliminated pH value from the evaluated pH value set, wherein the eliminated pH value is the largest evaluated pH value in the evaluated pH value set, eliminate the initial pH value corresponding to the eliminated pH value from the initial pH value set to obtain an updated pH set, use the updated pH set as the initial pH set, and return to the step of obtaining the initial pH variance using the initial pH set until the initial pH variance is less than or equal to the pH variance threshold; Record the number of rejected pH values, obtain the rejection number, and compare the rejection number with the preset rejection threshold; If the number of eliminations is greater than the elimination threshold, the third target experimental group is obtained using the first experimental parameter group corresponding to the first target experimental group, the third target experimental group is used as the first target experimental group, and the step of obtaining the initial pH set based on the fish slurry raw material liquid group corresponding to the first target experimental group is returned; If the elimination number is less than or equal to the elimination threshold, the first target experimental group is confirmed as the second target experimental group, the second target experimental groups are aggregated to obtain multiple second target experimental groups, and a fitting database is confirmed based on the multiple second target experimental groups.

6. The automated production method for preparing fish slurry according to claim 5, characterized in that: The step of confirming a fitting database based on the plurality of second target experimental groups comprises: The following operations are performed on each of the multiple second target experimental groups: The following operations are performed on each of the multiple fish soluble slurry raw material liquids corresponding to the second target experimental group: Using the first pH value and the fish soluble slurry raw material liquid corresponding to the second target experimental group to obtain an adjusted fish soluble slurry raw material liquid, performing an enzymatic hydrolysis operation on the adjusted fish soluble slurry raw material liquid based on the first temperature value, the first protease concentration value and the first enzymatic hydrolysis time corresponding to the second target experimental group to obtain an enzymatic hydrolysis raw material liquid; Using a pre-constructed acid-soluble protein content detection method and the enzymatic hydrolysis raw material solution to obtain the acid-soluble protein content, summarizing the acid-soluble protein content to obtain an acid-soluble protein content set; Obtaining a mean value of the acid-soluble protein content according to the acid-soluble protein content set, wherein the mean value of the acid-soluble protein content is the mean value of multiple acid-soluble protein contents in the acid-soluble protein content set; Summarizing the acid-soluble protein content means to obtain an acid-soluble protein content mean set, and performing a sorting operation on the acid-soluble protein content means in the acid-soluble protein content mean set in descending order of the acid-soluble protein content means to obtain an acid-soluble protein content sequence; A target acid-soluble protein sequence is obtained based on the acid-soluble protein content sequence and a preset acid-soluble protein threshold, wherein the target acid-soluble protein sequence includes multiple target acid-soluble protein contents, and the target acid-soluble protein content is greater than or equal to the acid-soluble protein threshold, and the fitting database is confirmed using the target acid-soluble protein sequence.

7. The automated production method for preparing fish slurry according to claim 6, characterized in that: The step of using the target acid-soluble protein sequence to identify a fitting database comprises: The following operations are performed for each target acid-soluble protein content in the target acid-soluble protein sequence: The comprehensive evaluation value is calculated based on the target acid-soluble protein content and a pre-constructed comprehensive evaluation relationship, wherein the comprehensive evaluation relationship is as follows: Among them, Z represents the comprehensive evaluation value, m represents the target acid-soluble protein content, α, τ, and β are all preset coefficients, and e ph represents the unit energy consumption when adjusting the pH value, c1 represents the pH value corresponding to the first pH value, v0 represents the volume of the fish slurry raw material liquid, c2 represents the pH value of the fish slurry raw material liquid corresponding to the initial pH value, e(t,r) represents the energy consumption required to maintain the temperature during the enzymatic hydrolysis operation at the first temperature value and the time during the enzymatic hydrolysis operation at the first enzymatic hydrolysis time, wherein t represents the first enzymatic hydrolysis time, r represents the first temperature value, and ... o represents the energy consumption required to configure the protease concentration to the first protease concentration value; Summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set, and confirming a target enzymatic hydrolysis parameter group based on the comprehensive evaluation value set, wherein the target enzymatic hydrolysis parameter group is a first experimental parameter group corresponding to the largest comprehensive evaluation value in the comprehensive evaluation value set; A fitting database is identified using the target enzymatic hydrolysis parameter set.

8. The automated production method for preparing fish slurry according to claim 7, characterized in that: The step of using the target enzymatic hydrolysis parameter group to identify a fitting database comprises: The enzymatic hydrolysis raw material liquid corresponding to the target enzymatic hydrolysis parameter group is introduced into a pre-constructed vacuum concentration tank, and a vacuum concentration operation is performed on the enzymatic hydrolysis raw material liquid using the vacuum concentration tank into which the enzymatic hydrolysis raw material liquid is introduced, and the time when the vacuum concentration operation is started is used as the starting time, and a stock solution concentration group time sequence is obtained using a pre-constructed concentration detector set, a preset detection time interval, and the enzymatic hydrolysis raw material liquid in the vacuum concentration operation, wherein the concentration detector set includes a plurality of concentration detectors, the stock solution concentration group time sequence includes a plurality of stock solution concentration groups, and the stock solution concentration group includes a plurality of stock solution detection concentrations, wherein the stock solution detection concentrations correspond one-to-one to the concentration detectors; Perform the following operations for each stock solution concentration group in the stock solution concentration group time series: Calculating a detection concentration value using the stock solution concentration group and a pre-constructed concentration evaluation relationship, and comparing the detection concentration value with a preset detection concentration threshold; If the detected concentration value is less than the detected concentration threshold, the time corresponding to the detected concentration value is taken as the end time, the vacuum concentration time is obtained using the start time and the end time, and the fitting database is confirmed based on the vacuum concentration time.

9. The automated production method for preparing fish slurry according to claim 8, characterized in that: The concentration evaluation relationship is as follows: Among them, Y represents the detection concentration value, x k represents the kth stock solution detection concentration among multiple stock solution detection concentrations, d represents a total of d stock solution detection concentrations, ω k represents the preset kth coefficient, and σ represents the variance of the detection concentrations of multiple stock solutions.

10. The automated production method for preparing fish slurry according to claim 9, characterized in that: The step of confirming a fitting database based on the vacuum concentration time comprises: Associating the fish identification species, protease, and vacuum concentration time corresponding to the target enzymatic hydrolysis parameter group with the target enzymatic hydrolysis parameter group to obtain a production parameter group; The production parameter groups are summarized to obtain a production parameter group set, and a fitting database is constructed based on the production parameter group set.

Images