WO2023221183A1

WO2023221183A1 - Product quality control method and system in feed processing process

Info

Publication number: WO2023221183A1
Application number: PCT/CN2022/096630
Authority: WO
Inventors: 韩动梁; 倪鹏; 武若琳
Original assignee: 江苏邦鼎科技有限公司
Priority date: 2022-05-17
Filing date: 2022-06-01
Publication date: 2023-11-23
Also published as: CN114916689A

Abstract

The present invention provides a product quality control method in a feed processing process. The method comprises: obtaining feed mill sanitation information and feed raw material information; obtaining sanitation index threshold information; determining whether the feed mill sanitation information satisfies the sanitation index threshold information, and determining the determining result as sanitation index information; determining feed type stage information by means of feed type information and the feed raw material information; constructing a feed balanced intake pyramid; performing information matching in combination with the feed type stage information to obtain feed matching information; and obtaining a quality control result by means of the sanitation index information and the feed matching information, and controlling and supervising the feed processing quality. The technical problems that it is difficult to effectively evaluate the processing quality of a feed product and quality control information is unreliable are solved, and the technical effects of comprehensively and intelligently evaluating the quality of the feed product on the basis of raw materials of the feed and sanitation, fully analyzing quality index related parameters of the feed product, and improving the accuracy of quality control information of the feed product are achieved.

Description

A product quality control method and system for feed processing

Technical field

The invention relates to the field of artificial intelligence technology, and specifically to a product quality control method and system for feed processing.

Background technique

Feed is food for animals raised by humans, and the quality of feed products needs to be controlled. The tainted milk powder incident was due to the abuse of melamine, and the clenbuterol incident was due to the abuse of clenbuterol hydrochloride. Accidents related to feed products occur frequently, and we urgently need to The quality of feed products needs to be strictly controlled. The safety of feed products is the basis for human dietary safety. Feed-related legal provisions are difficult to implement, resulting in a lack of credibility in the processing quality assessment results of feed products and unreliable quality control results of feed products.

There are technical problems in the existing technology that it is difficult to effectively evaluate the processing quality of feed products and the quality control information is unreliable.

Contents of the invention

This application provides a product quality control method and system for the feed processing process, which solves the technical problem of difficulty in effectively evaluating the processing quality of feed products and unreliable quality control information, and achieves a comprehensive intelligent assessment of feed based on raw materials and hygiene. Product quality, fully analyze the relevant parameters of feed product quality indicators, and improve the technical effect of improving the accuracy of feed product quality control information.

In view of the above problems, this application provides a product quality control method and system for feed processing.

In a first aspect, this application provides a method for product quality control in the feed processing process, wherein the method includes: obtaining feed mill health information and feed raw material information; obtaining health index threshold information; determining whether the feed mill health information is When the health index threshold information is met, the judgment result is determined as health index information; the feed type and stage information is determined through the feed type information and the feed raw material information; a feed balanced intake tower is constructed; and the feed type and stage information is used The matching information with the feed balance intake tower is used to obtain the feed matching information; the quality control results are obtained through the hygiene index information and the feed matching information, and the quality control results are used to control the processing quality of the feed. supervision.

In a second aspect, this application provides a product quality control system for feed processing, wherein the system includes: a data acquisition unit, which is used to acquire feed factory hygiene information and feed raw material information; a calculation acquisition unit , the operation acquisition unit is used to obtain the hygiene index threshold information; the data judgment unit is used to judge whether the feed factory hygiene information meets the hygiene index threshold information, and determine the judgment result as the hygiene index information; an operation determination unit, the operation determination unit is used to determine the feed type stage information through the feed type information and the feed raw material information; a simulation construction unit, the simulation construction unit is used to build a feed balance intake tower; matching acquisition unit, the matching acquisition unit is used to obtain feed matching information through the matching information of the feed type stage information and the feed balance intake tower; a control supervision unit, the control supervision unit is used to obtain the feed matching information through the hygiene index information Match the information with the feed to obtain quality control results, which are used to control and supervise the processing quality of the feed.

One or more technical solutions provided in this application have at least the following technical effects or advantages:

Because the method is used to obtain the feed factory hygiene information and feed raw material information; obtain the hygiene index threshold information; judge whether the feed factory hygiene information meets the hygiene index threshold information, and determine the judgment result as the hygiene index information; through the feed type information and feed raw material information , determine the feed type stage information; build a feed balance intake tower; perform information matching based on the feed type stage information to obtain feed matching information; obtain quality control results through health index information and feed matching information. The embodiments of this application achieve the technical effect of comprehensively intelligently evaluating feed product quality based on feed raw materials and hygiene, fully analyzing parameters related to feed product quality indicators, and improving the accuracy of feed product quality control information.

Description of the drawings

Figure 1 is a schematic flow chart of a product quality control method in the feed processing process of the present application;

Figure 2 is a schematic flow chart of obtaining hygiene level judgment information for a product quality control method in the feed processing process of the present application;

Figure 3 is a schematic flow chart of constructing a feed balance intake tower for a product quality control method in the feed processing process of the present application;

Figure 4 is a schematic flow chart of obtaining the quality control optimization results of a product quality control method in the feed processing process of the present application;

Figure 5 is a schematic structural diagram of a product quality control system for feed processing in this application.

Explanation of reference numerals: data acquisition unit 11, operation acquisition unit 12, matching acquisition unit 13, control supervision unit 14, simulation construction unit 15, matching acquisition unit 16, control supervision unit 17.

Detailed ways

Embodiment 1

As shown in Figure 1, this application provides a product quality control method for feed processing, wherein the method includes:

S100: Obtain feed factory hygiene information and feed raw material information;

Specifically, the feed factory hygiene information includes feed raw material hygiene information, processing plant hygiene information, warehouse hygiene information, and factory road hygiene information. The hygiene information can be determined by sampling and testing experimental results. How to obtain the hygiene information It is not unique. Specifically, the feed raw materials can be sampled and processed, and the microbial flora detection and analysis of the sampling samples can be carried out through microscopy technology. The analysis results obtained from multiple inspections can be statistically sorted, and the feed can be analyzed by statistically sorting the information. Raw material hygiene information is characterized. The warehouse sanitation information includes the number of sterilization times, sterilization duration, or other relevant information of the warehouse. The processing plant sanitation information includes but is not limited to the processing plant sterilization information, the processing plant entrance and exit sanitization information, and the factory road sanitation information. Including but not limited to road dust particle detection information and factory area temperature and humidity information. The road dust particle detection information can be obtained through a dust detector. The factory area temperature and humidity information can be determined through the temperature and humidity detection box data information. The factory area air humidity If the information is too high, the feed will absorb water vapor in the air, causing the moisture in the feed to increase, which is not conducive to the storage of the feed.

Specifically, the feed can be cat food, dog food, chicken feed or other feed, and the type of feed is not specifically limited. The feed raw material information is the raw material information that determines the feed's unprocessed status. The feed raw material information includes but is not limited to The feed composition information and raw material proportion information can be obtained directly through the feed processing plan of the feed factory, and the health information and feed raw material information of the feed factory can be obtained to provide a data basis for subsequent data analysis.

S200: Obtain health indicator threshold information;

S300: Determine whether the feed factory hygiene information meets the hygiene index threshold information, and determine the judgment result as hygiene index information;

Specifically, the hygiene index threshold information can be determined through feed-related hygiene testing rules, which can be determined by combining the "Feed Hygiene Standards" (GB13078-2017), "Moisture-proof Packaging" (GB/T5048-2017) and other Relevant standards are specifically determined. Simply put, "Moisture-proof Packaging" (GB/T5048-2017) regulates the moisture-proof process of feed from various aspects such as packaging materials, packaging moisture-proof grade classification, packaging sealing performance, etc. The moisture-proof packaging related information specifications can ensure Feed hygiene, for example, if the moisture-proof process does not meet relevant standards, it will lead to contamination after the feed is packaged. Standardizing packaging-related parameters in the early stage can effectively avoid feed hygiene problems caused by unqualified packaging. Standardized health detection rules effectively ensure the stability of health indicator threshold parameters, thereby ensuring the standardization and rationality of health indicator threshold information, standardizing data indicators, and accelerating the speed and accuracy of data processing. Spend.

Specifically, it is determined whether the parameters corresponding to the feed factory hygiene information satisfy the parameter information corresponding to the hygiene index threshold information. The hygiene index threshold information includes the upper threshold value and the lower threshold value of multiple index parameters. The feed factory hygiene information corresponds to The parameters are within the upper threshold value and the lower threshold value of the corresponding index parameter, which means that the parameters corresponding to the hygiene information of the feed factory meet the parameters corresponding to the hygiene index threshold information. Repeat the above steps and process, and compare and judge multiple indicators one by one. If If a certain index parameter is not met, it means that the hygiene information of the feed factory does not meet the hygiene index threshold information, and the corresponding hygiene information of the feed factory does not meet the relevant national standards. Only, the hygiene information of the feed factory meets the hygiene indicators. The threshold information corresponds to the feed factory's health information meeting relevant national standards, effectively ensuring that the feed factory's health information meets relevant national standards, and providing reliable technical support for implementing national standards and ensuring the safety and effectiveness of feed.

S400: Determine the feed type stage information through the feed type information and the feed raw material information;

S500: Build a balanced feed intake tower;

Specifically, the feed type corresponds to the eater of the feed. Simply speaking, cats correspond to cat food, dogs correspond to dog food, and chickens correspond to chicken feed. The feed type information can be confirmed through the product details of the feed. The above acquisition method is Preferably obtained, the method of obtaining the feed type information is not limited, and is actually determined based on the product characteristics of the feed. The type stage information corresponds to the growth stage of the feed eater, and the feed type stage information is determined to effectively ensure the feed information. The accuracy of the positioning needs to adjust the feed information accordingly to ensure that the feed information corresponds to the actual product demand. The feed balanced intake tower is similar to the balanced diet pagoda for Chinese residents. Through the intake amount and intake type, the feed balance intake tower The intake of the eater is reasonably distributed to ensure a balanced intake. The feed balance intake tower is a multi-layer structure, and the intake corresponding to each layer is different. The specific discussion will not be explained here. It is effective to construct a feed balance intake tower. Optimize the balanced proportion information of feed ingredients, improve the matching degree between feed ingredients and the intake of consumers, and provide technical theoretical support to ensure the stability of feed ingredient proportions.

To further explain, the type and stage information corresponds to the growth stage of the feed eater. For example, cats in the newborn stage can generally be cultured with goat milk powder, and the kitten stage is generally from 5 to 12 months. Kittens usually need to be fed with egg yolks, small pellets of dried fish, small pellets of cat food, and small pellets of freeze-drying. The kitten stage will also be different from the adult cat stage. The specific determination should be based on the corresponding growth status. The above example This is for the purpose of understanding the scheme, and there are optimizations in data information. The actual data may be different from the above data, and the correspondence needs to be determined by comparing the actual data information, which will not be described in detail here.

S600: Obtain feed matching information through the matching information of the feed type stage information and the feed balance intake tower;

S700: Obtain quality control results through the matching information of the hygiene index information and the feed. The quality control results are used to control and supervise the processing quality of the feed.

Specifically, information matching is performed between the feed type stage information and the feed balance intake tower. The information matching is simply to determine the information corresponding to the feed type stage information in the feed balance intake tower, and determine the feed The type and the proportion of that type. A simple example shows that the meat in the feed type stage information is in a certain layer of the corresponding feed balance intake tower. The corresponding intake of this layer is 50g. The proportion is determined through the feed balance intake tower. Information, information on the proportion of meat intake, the total intake is the sum of each type of intake, if the total intake is 500g, correspondingly, the balance proportion of meat is 10%, through the feed balance intake tower , determine the balance ratio of the feed type corresponding to the feed type stage information, and determine the feed matching information in combination with the hygiene index information. The feed matching information includes matching information of multiple types of indicators, and the feed matching information includes feed ingredient type matching related data indicators and Data indicators related to feed hygiene. Satisfied indicators indicate indicators that do not need to be optimized. Unsatisfied indicators indicate indicators that need to be optimized. They provide data support for optimizing feed ingredient information and determine quality control results. The quality control results are used for Control and supervise the processing quality of feed, and provide data theoretical support for multi-angle optimization and analysis of feed quality assessment standards.

To further specify, through the feed balance intake tower, the balance ratio of the feed type corresponding to the feed type stage information is determined, and the balance ratio and the feed type stage information are combined with the daily recommended feed usage and the health index information to determine As a result of quality control, the daily recommended feed usage corresponds to the total intake. The difference is that the total intake includes water and other related intake type data indicators. The daily recommended feed usage is the feed in the total intake. Types that can be included. Adding water is not conducive to the transportation and storage of feed. Water is generally consumed in subsequent compound feeds. On the other hand, some foods do not need to be added due to their characteristics. For example, cat grass contains rich fiber elements to promote For cats’ gastrointestinal peristalsis, cats need to eat cat grass (wheat plants in the 3-leaf stage or tillering stage) to help expel the hair pellets in the cat’s stomach. However, fresh cat grass is easy to cultivate. Cat grass can be cultivated directly to provide cats with fiber elements. The effect of supplementation is better than related optimization of feed. The above examples are substantive explanations to assist in the understanding of the plan after optimization, and do not limit the actual plan in a timely manner. The feed matching information is determined through the daily recommended feed usage. For example, the daily recommended feed usage is 300g, the intake of meat in the daily recommended feed usage is 50g, milk and dairy products are 80g, and water The intake is 100g, and water should not participate in the proportional component conversion system when formulating feed.

Further, the step S300 further includes: determining whether the feed mill hygiene information meets the hygiene index threshold information, and determining the judgment result as hygiene index information.

S310: Obtain type hygiene level information through the feed factory hygiene information;

S320: Based on the type of hygiene level information and the hygiene index threshold information, combined with the functional characteristics of the numerical comparator, perform indicator level judgment and obtain hygiene level judgment information;

S330: Obtain health index information through the health level judgment information.

Specifically, through the feed factory hygiene information, which includes feed raw material hygiene information, processing plant hygiene information, warehouse hygiene information, and factory road hygiene information, type hygiene grade information is obtained, and the type hygiene grade information is obtained Clustering methods can be used for processing and acquisition, and data cluster analysis and evaluation can be performed on feed raw material hygiene information, processing plant hygiene information, warehouse hygiene information, and factory road hygiene information. The cluster analysis and evaluation method can include the k-means algorithm. , K-medoids algorithm and other clustering algorithms, so that the cluster analysis evaluation results can fully reflect the data information of feed raw material hygiene information, processing plant hygiene information, warehouse hygiene information, and factory road hygiene information. Through the above-mentioned types of hygiene grade information and all The above health index threshold information is combined with the functional characteristics of the numerical comparator to judge the index level, determine the abnormal judgment results, and obtain the health level judgment information; through the health level judgment information, it is judged whether the feed factory health information meets the health index threshold. Characterize the information and obtain health index information to ensure the hygiene of the feed, provide technical support for the implementation of relevant rules for the standardization of national feed hygiene standards, and ensure the legitimacy and stability of the health index data information.

Further, as shown in Figure 2, the indicator level is judged through the type of hygiene level information and the hygiene index threshold information, combined with the functional characteristics of the numerical comparator, and the hygiene level judgment information is obtained. Step S320 also includes:

S321: Determine comparison level digit information through the type of hygiene level information and the hygiene index threshold information;

S322: Select the data comparator and determine the data comparator model information through the comparison level digit information;

S323: Based on the data comparator model information, determine the input data port location information;

S324: Determine the input information port and obtain the input information through the input information port location information, the type of hygiene level information and the hygiene index threshold information;

S325: Obtain hygiene level judgment information through the input information and combined with the functional characteristics of the numerical comparator.

Specifically, the data comparator can compare two binary numbers with the same digits to determine their relative size or whether they are equal. Generally speaking, in the absence of decimals, in the same base system, the more digits of data, The larger the numerical information, the data comparison operation can be performed through the data comparator when the number of data digits is the same. Specifically, the description of the equal status of the levels corresponding to the type of hygiene level information and the hygiene index threshold information is carried out through the The above-mentioned type of hygiene level information and the above-mentioned hygiene index threshold information are used to determine the number of digits of the comparison level. In particular, due to the characteristics of hardware processing data, it is necessary to convert the data into binary and then determine the number of digits. The same value in different bases corresponds to The number of digits may be different, and the data conversion needs to be confirmed; the data comparator is selected through the comparison level digit information. Commonly, 74LS85 and 54LS85 are both four-bit data comparators. If more than four digits are used, the data comparator can be selected. Bits are integrated or replaced with a data comparator with a higher number of comparison bits. This is a common operation in this field and will not be explained here. Determine the data comparator model information; based on the data comparator model information, correspond to the pins. Based on the pin corresponding information, the input data port position information is determined; through the input information port position information, the type of hygiene level information and the hygiene index threshold information, the input information port is determined and the input information is obtained; through the input information, Combined with the functional characteristics of the numerical comparator, the data comparison process steps are executed to obtain the health level judgment information, ensuring the reliability of the health level judgment information, and providing technical support for data comparison operations combining software and hardware.

Further, as shown in Figure 3, the step S500 of constructing a balanced feed intake tower also includes:

S510: Obtain the user's variety intake type information through the user's variety information;

S520: Determine the intake information of the user's variety through the variety weight data and age data;

S530: Obtain the intake type proportion set through the user variety intake type information and the intake amount information;

S540: Determine the intake type hierarchy through the set of intake type proportions, and build a feed balance intake tower.

Specifically, through the user breed information, the breed can be Chinese garden cat, Maine Coon cat, British short-haired tabby cat, Ragdoll cat or other cat breeds. The breed can also be Shiba Inu, Husky, Teddy, For golden retrievers or other dog breeds, the user types are different, and the corresponding breed refinements will also be different. Through the breed user breed information, the user's breed intake is accurately positioned and the user's breed intake type information is obtained; through the breed weight data With age data, based on big data, data retrieval statistics are performed to determine the intake information of the user's variety; through the user's variety intake type information and the intake information, the user's variety intake information is organized, and the collation is Including the correspondence between the user's variety intake type information and the intake information, a set of intake type proportions is constructed; through the set of intake type proportions, combined with the tower structure distribution characteristics, the intake type hierarchy is carried out It is determined that the construction of the feed balance intake tower ensures the mutual matching of the feed balance intake tower and the user's species, provides technical support for reasonable feed balance intake, and provides data support to ensure the user's species' balanced feed intake and good growth status.

Further, obtaining the intake type proportion set through the user's variety intake type information and the intake information, step S530 includes:

S531: Determine the user's single-day intake type proportion information through the user's variety intake type information and the intake amount information;

S532: Obtain user variety supplement intake element information through user variety physical characteristics and user variety dietary characteristics;

S533: Determine supplementary intake type information based on the user's variety of supplementary intake element information;

S534: Obtain an intake type proportion set through the supplementary intake type information and the user's single-day intake type proportion information.

Specifically, the user's daily intake type proportion information is determined through the user's variety intake type information and the intake amount information; the user's variety supplement intake elements are obtained through the user's variety physical characteristics and the user's variety dietary characteristics. Information, the user's variety physical characteristics and the user's variety dietary characteristics are population characteristics; through the user's variety supplement intake element information, the supplementary intake type information is determined correspondingly, and combined with the relationship characteristics between elements, the user's variety supplement intake Organize data on elemental information to determine supplementary intake type information. For example, if iron deficiency anemia requires iron supplements, oral iron supplements can be selected, the most common ones are ferrous sulfate, ferrous fumarate and ferrous gluconate. Iron deficiency anemia is mainly caused by a decrease in the amount of hemoglobin. You should also supplement more protein and eat more eggs, poultry, and milk. The lack of a certain element should be based on the root cause and comprehensively consider the relationship between elements; through the above supplementation The intake type information and the user's single-day intake type proportion information are used to statistically organize the intake information and obtain the intake type proportion set, which ensures the accuracy of the data information classification scheme and provides complete and orderly data for subsequent data processing. Base.

Further explanation is that the physical characteristics of the user species and the dietary characteristics of the user species are population characteristics. For example, the antlers of an adult bull elk are divided into two branches from the root. It only takes a few months for the antlers to grow. The antlers grow rapidly due to their rapid growth. The growth of antlers requires a large amount of calcium and phosphorus. Elk is a herbivore. The intake of calcium and phosphorus in elk food is far from enough. It can only be extracted from the bones to meet the growth needs of the antlers. The antlers must be shed every year. Rebirth, so bull elk often suffer from cyclic osteoporosis. Correspondingly, the supplementary intake element information for bull elk includes calcium and phosphorus.

Further, the user's variety of supplementary intake element information is obtained through the user's variety of physical characteristics and the user's variety of dietary characteristics. Step S532 also includes:

S532-1: Obtain the user's dietary characteristics through the user's dietary habits;

S532-2: Obtain the physical characteristics of the user's variety through the growth characteristics of the user's variety;

S532-3: Perform feature fusion analysis through the user variety dietary characteristics and the user variety physical characteristics to obtain feature fusion index information;

S532-4: Obtain the supplementary intake element information of the user's variety through the feature fusion index information and the trace element characteristic information.

Specifically, the dietary characteristics of the user species are obtained through the dietary habits of the user species, which are the characteristics of the population's dietary habits. Common examples include giant pandas eating bamboo and dogs chewing bones. The dietary characteristics of the user species are obtained through the growth characteristics of the user species. The growth characteristics of the user species are Combined with the user's growth stage, the user's variety physical characteristics are obtained; feature fusion analysis is performed through the user's variety dietary characteristics and the user's variety physical characteristics. The feature fusion analysis corresponds to the feature weight fusion allocation. Specifically, based on concat feature fusion , directly connect the user variety dietary characteristics and the user variety physical characteristic data, and perform data feature analysis. If the dimensions of the user variety dietary characteristics and the user variety physical characteristics are p and q, the dimension of the feature z of the output feature fusion index information The number is p+q, and the feature fusion index information is obtained; through the feature fusion index information, combined with the trace element characteristic information, the trace element supplementation plan is determined, the supplementary intake element information of the user variety is obtained, and the supplementary intake of the user variety is effectively guaranteed. Integrate the stability of element information, improve the reliability of data, and provide technical support for the completeness and implementability of the solution.

Further, as shown in Figure 4, this application also includes:

S710: Obtain biological limit standards for feed additive ingredients;

S720: Perform additive limit judgment on the feed raw material information based on the feed additive component biological limit standard, and obtain the additive limit judgment result;

S730: Perform component analysis on the feed raw material information and obtain the component analysis results;

S740: Optimize and adjust the quality control results through the additive limit judgment results and the component analysis results to obtain quality control optimization results.

Specifically, to obtain biological limit standards for feed additive ingredients, feed additives that have biological limit standards for feed additive ingredients are ingredients that can be added in controlled amounts. There are many relevant standards for feed additives in the country, such as "Feed Additive-Niacin" (GB7300- 2017), "Feed Additive DL-α-Tocopheryl Acetate (Powder)" (GB7293-2017), "Feed Additive Sodium Bisulfite Menadione (Vitamin K3)" (GB7294-2017) and many other additives Standard; judge the additive limit based on the feed ingredient information based on the feed additive ingredient biological limit standards. Additives that exceed the feed additive ingredient biological limit standards may cause adverse reactions in consumers. Appropriate additions need to be made in compliance with national standards to obtain additives. The limit judgment result, the additive limit judgment result indicates that the feed additive meets the relevant national standards, the additive limit judgment result does not pass, it means that the feed additive does not meet the relevant national standards and cannot be put into the domestic market for feed sales; the feed raw material information is processed Ingredient analysis, determine whether there are toxic and harmful ingredients that are not allowed by national standards, such as clenbuterol hydrochloride (also known as clenbuterol), melamine (commonly known as melamine, protein concentrate) or other types of ingredients, obtain ingredient analysis results, ingredient analysis The pass result indicates that the feed additives have no toxic or harmful components, and the component analysis result does not indicate that the feed additives contain toxic or harmful components; through the additive limit judgment results and the component analysis results, the quality control results are optimized and adjusted to obtain The quality control optimization results further ensure the safety of feed ingredient information, thereby protecting the health of feed consumers, and are of great significance in promoting the implementation and implementation of national standards.

To sum up, the product quality control method and system for feed processing provided by this application have the following technical effects:

1. Due to the method of obtaining feed mill hygiene information and feed raw material information; obtaining hygiene index threshold information; judging whether the feed factory hygiene information meets the hygiene index threshold information, and determining the judgment result as hygiene index information; through feed type information and feed Raw material information, determine feed type stage information; build a feed balance intake tower; obtain feed matching information through the matching information of feed type stage information and feed balance intake tower; obtain quality control results through health index information and feed matching information. This application provides a product quality control method and system for the feed processing process, achieving a comprehensive intelligent assessment of feed product quality based on feed raw materials and hygiene, fully analyzing parameters related to feed product quality indicators, and improving the accuracy of feed product quality control information. technical effects.

2. Due to the use of type hygiene level information and hygiene index threshold information, determine the comparison level digit information; select the data comparator and determine the data comparator model information; determine the input data port location information; combine the type hygiene level information and hygiene Indicator threshold information is used to determine the input information port and obtain the input information; combined with the functional characteristics of the numerical comparator, the health level judgment information is obtained to ensure the reliability of the health level judgment information and provide technical support for data comparison operations combining software and hardware.

3. Due to the adoption of the biological limit standard for obtaining feed additive ingredients; judge the additive limit on the feed raw material information, and obtain the additive limit judgment results; perform component analysis on the feed raw material information, and obtain the component analysis results; and use the additive limit judgment results and the component analysis results. , optimize and adjust the quality control results, obtain the quality control optimization results, further ensure the safety of feed ingredient information, and thereby protect the health of feed consumers, which plays an important role in promoting the implementation and implementation of national standards.

Embodiment 2

Based on the same inventive concept as the product quality control method of the feed processing process in the previous embodiment, as shown in Figure 5, the present application provides a product quality control system of the feed processing process, wherein the system includes:

Data acquisition unit 11, the data acquisition unit 11 is used to acquire feed factory hygiene information and feed raw material information;

Operation acquisition unit 12, the operation acquisition unit 12 is used to obtain health index threshold information;

Data judgment unit 13, the data judgment unit 13 is used to judge whether the feed factory hygiene information meets the hygiene index threshold information, and determine the judgment result as hygiene index information;

The calculation determination unit 14 is used to determine the feed type stage information through the feed type information and the feed raw material information;

Simulation construction unit 15, the simulation construction unit 15 is used to construct the feed balance intake tower;

Matching acquisition unit 16, the matching acquisition unit 16 is used to acquire feed matching information through the matching information of the feed type stage information and the feed balance intake tower;

Control and supervision unit 17, the control and supervision unit 17 is used to obtain quality control results through the matching information of the hygiene index information and the feed, and the quality control results are used to control and supervise the processing quality of the feed.

Further, the system includes:

An operation acquisition unit, the operation acquisition unit is used to obtain type hygiene level information through the feed factory hygiene information;

A comparison and judgment unit, the comparison and judgment unit is used to judge the index level through the type of hygiene level information and the hygiene index threshold information, combined with the functional characteristics of the numerical comparator, and obtain the hygiene level judgment information;

and a judgment obtaining unit, which is used to obtain health index information through the health level judgment information.

Further, the system includes:

A comparison and determination unit configured to determine comparison level digit information through the type hygiene level information and the hygiene index threshold information;

A selection and determination unit, which is used to select a data comparator through the comparison level digit information and determine the data comparator model information;

A port determination unit, the port determination unit is configured to determine the input data port position information based on the data comparator model information;

A matching acquisition unit, the matching acquisition unit is used to determine the input information port and obtain the input information through the input information port position information, the type of hygiene level information and the hygiene index threshold information;

An execution and acquisition unit is used to acquire hygiene level judgment information through the input information and the functional characteristics of the numerical comparator.

Further, the system includes:

An analysis and acquisition unit, the analysis and acquisition unit is used to obtain the user's variety intake type information through the user's variety information;

An analysis and determination unit, the analysis and determination unit is used to determine the intake information of the user's variety through the variety weight data and age data;

An analysis and acquisition unit configured to obtain a set of intake type ratios through the user variety intake type information and the intake amount information;

A simulation construction unit, which is used to determine the intake type hierarchy through the intake type proportion set and construct a feed balance intake tower.

Further, the system includes:

A data analysis and determination unit, the data analysis and determination unit is used to determine the user's single-day intake type proportion information through the user's variety intake type information and the intake amount information;

An analysis and acquisition unit, the analysis and acquisition unit is used to obtain the supplementary intake element information of the user's variety through the physical characteristics of the user's variety and the dietary characteristics of the user's variety;

Correspondence determination unit, the correspondence determination unit is used to supplement the intake element information by the user variety, and correspondingly determine the supplement intake type information;

and a calculation and acquisition unit configured to obtain a set of intake type proportions through the supplementary intake type information and the user's single-day intake type proportion information.

Further, the system includes:

A data collection and acquisition unit, the data collection and acquisition unit is used to obtain the user's variety of dietary characteristics through the user's variety of eating habits;

A calculation and analysis unit, the calculation and analysis unit is used to obtain the physical characteristics of the user's variety through the growth characteristics of the user's variety;

A calculation and acquisition unit, the calculation and acquisition unit is used to perform feature fusion analysis through the dietary characteristics of the user variety and the physical characteristics of the user variety, and obtain feature fusion index information;

An analysis and acquisition unit, which is used to obtain the user's variety supplement intake element information through the feature fusion index information and the trace element characteristic information.

Further, the system includes:

A data analysis and acquisition unit, which is used to obtain biological limit standards for feed additive ingredients;

a judgment obtaining unit, which is used to judge the additive limit of the feed raw material information through the biological limit standard of the feed additive component, and obtain the additive limit judgment result;

An analysis and acquisition unit, the analysis and acquisition unit is used to perform component analysis on the feed raw material information and obtain component analysis results;

Optimization and adjustment unit, the optimization and adjustment unit is used to optimize and adjust the quality control results through the additive limit judgment results and the component analysis results, and obtain the quality control optimization results.

The description and the drawings are merely exemplary illustrations of the present application, and various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. If these modifications and variations of the present application fall within the scope of the claims of the present application and equivalent technologies, the present application is intended to include these modifications and variations.

Claims

A product quality control method for feed processing, characterized in that the method includes:

Obtain feed factory hygiene information and feed raw material information;

Obtain health indicator threshold information;

Determine whether the feed mill hygiene information meets the hygiene index threshold information, and determine the judgment result as hygiene index information;

Determine the feed type stage information through the feed type information and the feed raw material information;

Build a feed balance intake tower;

Obtain feed matching information through the matching information of the feed type stage information and the feed balance intake tower;

Quality control results are obtained by matching the hygiene index information with the feed information, and the quality control results are used to control and supervise the processing quality of the feed.
The method according to claim 1, characterized in that the step of determining whether the hygiene information of the feed mill meets the hygiene index threshold information and obtaining the hygiene index information includes:

Obtain type hygiene level information through the feed factory hygiene information;

Based on the type of hygiene level information and the hygiene index threshold information, combined with the functional characteristics of the numerical comparator, the index level is judged and the hygiene level judgment information is obtained;

Through the health level judgment information, health index information is obtained.
The method according to claim 2, characterized in that, by combining the type hygiene grade information and the hygiene index threshold information, combined with the functional characteristics of a numerical comparator, the index grade is judged and the hygiene grade judgment information is obtained. Methods include:

Determine comparison level digit information through the type of hygiene level information and the hygiene index threshold information;

Through the comparison level digit information, the data comparator is selected and the data comparator model information is determined;

Based on the data comparator model information, determine the input data port location information;

Through the input information port location information, the type of hygiene level information and the hygiene index threshold information, the input information port is determined and the input information is obtained;

Through the input information, combined with the functional characteristics of the numerical comparator, the hygiene level judgment information is obtained.
The method of claim 1, wherein constructing a feed balanced intake tower includes:

Obtain user variety intake type information through user variety information;

Determine the intake information of the user's breed through breed weight data and age data;

Obtain a set of intake type ratios through the user variety intake type information and the intake amount information;

Through the set of intake type proportions, the intake type hierarchy is determined and a feed balance intake tower is constructed.
The method of claim 4, wherein the intake type proportion set is obtained through the user variety intake type information and the intake information, and the method includes:

Determine the user's single-day intake type proportion information through the user's variety intake type information and the intake amount information;

Through the physical characteristics of the user's species and the dietary characteristics of the user's species, information on supplementary intake elements of the user's species is obtained;

Based on the user's variety supplement intake element information, the supplement intake type information is correspondingly determined;

Through the supplementary intake type information and the user's single-day intake type proportion information, an intake type proportion set is obtained.
The method of claim 5, wherein the user's variety of supplementary intake element information is obtained through the user's variety of physical characteristics and the user's variety of dietary characteristics, and the method includes:

Obtain the user's dietary characteristics through the user's dietary habits;

Obtain the physical characteristics of the user's variety through the growth characteristics of the user's variety;

Perform feature fusion analysis through the user variety dietary characteristics and the user variety physical characteristics to obtain feature fusion index information;

Through the feature fusion index information and the trace element characteristic information, the user's variety supplement intake element information is obtained.
The method of claim 1, further comprising:

Obtain biological limit standards for feed additive ingredients;

Perform additive limit judgment on the feed raw material information based on the feed additive ingredient biological limit standard, and obtain the additive limit judgment result;

Conduct component analysis on the feed raw material information and obtain component analysis results;

Through the additive limit judgment results and the component analysis results, the quality control results are optimized and adjusted to obtain quality control optimization results.
A product quality control system for feed processing, characterized in that the system includes:

A data acquisition unit, the data acquisition unit is used to acquire feed factory hygiene information and feed raw material information;

An operation acquisition unit, the operation acquisition unit is used to obtain health index threshold information;

A data judgment unit, the data judgment unit is used to judge whether the feed factory hygiene information meets the hygiene index threshold information, and determine the judgment result as hygiene index information;

An operation determination unit, the operation determination unit is used to determine the feed type stage information through the feed type information and the feed raw material information;

A simulation building unit, the simulation building unit is used to build a feed balance intake tower;

A matching acquisition unit, the matching acquisition unit is used to acquire feed matching information through the matching information of the feed type stage information and the feed balance intake tower;

A control and supervision unit, the control and supervision unit is used to obtain quality control results through the matching information of the hygiene index information and the feed, and the quality control results are used to control and supervise the processing quality of the feed.