A method and system for detecting the processing quality of yak milk products

Abstract

The present invention provides a yak milk product processing quality detection method and system, which relates to the technical field of food inspection, and the method comprises: sampling yak milk products to obtain sample yak milk products; collecting packaging images; screening according to the packaging images to obtain yak milk products to be tested; obtaining physical and chemical test data; determining physical and chemical test scores according to the physical and chemical test data; obtaining microbial test data; determining food safety test scores according to the microbial test data; determining processing quality test scores according to the physical and chemical test scores, food safety test scores and the quantity ratio of yak milk products to sample yak milk products; generating a processing quality test report according to the processing quality test scores. According to the present invention, the processing quality of yak milk products can be comprehensively tested through physical and chemical testing and food safety testing, which can improve the comprehensiveness and accuracy of yak milk product processing quality testing.

Description

Technical Field

[0001] The present invention relates to the technical field of food inspection, and in particular to a method and system for inspecting the processing quality of yak milk products. Background Art

[0002] In the related art, CN101713713A discloses a sample pretreatment method for detecting harmful substances in dairy products, comprising the following steps: 1) precipitating protein; adding a reagent for precipitating protein to the pretreated sample and mixing evenly; 2) removing sugars and fiber substances; adding a reagent for removing sugars and fiber substances to the pretreated sample and mixing evenly; 3) removing fats and other lipophilic substances; adding a reagent for removing fats and other lipophilic substances to the pretreated sample and mixing evenly; 4) centrifuging, centrifuging the sample that has completed all the above steps 1)-3), taking the supernatant for further analysis and detection or further analysis and detection after concentration. This scheme can be used for the analysis and detection of various chemical components in dairy products, and has the advantages of rapidity and strong versatility.

[0003] CN106404818B discloses a method for detecting the freshness of raw milk, using a nuclear magnetic resonance spectrometer to measure small molecule metabolites, and plotting the relationship between small molecule metabolites and the storage time of raw milk; as the storage time of milk increases, the metabolite orotic acid content in milk with a somatic cell count of less than 200,000 decreases, and the trimethylamine content in milk with a somatic cell count of more than 1 million increases. The orotic acid and trimethylamine contents are related to the storage time of milk and can be used as evaluation indicators for the freshness of raw milk. Compared with the existing freshness detection method for raw milk, the milk freshness detection method involved in this scheme can accurately evaluate the freshness of raw milk, the operation is easy to standardize, the results are accurate and reliable, and can be used for freshness evaluation before raw milk processing, thereby providing consumers with the right to know the freshness of dairy products accurately.

[0004] Based on the above related technologies, various chemical components in dairy products can be quickly analyzed and detected. However, the related technologies cannot conduct a comprehensive test on the processing quality of yak milk products, that is, it is impossible to conduct a comprehensive test on the processing quality of yak milk products based on the physical and chemical composition and food safety of yak milk products.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides a yak milk product processing quality detection method and system, which can solve the technical problem that the related technology cannot comprehensively detect the processing quality of yak milk products according to the physical and chemical composition and food safety of yak milk products.

[0007] According to a first aspect of the present invention, a method for detecting the processing quality of yak milk products is provided, comprising:

[0008] Sampling the current batch of yak milk products to obtain a plurality of sample yak milk products;

[0009] Using an image acquisition device, collecting packaging images of multiple sample yak milk products;

[0010] Screening the sample yak milk products according to the packaging image to obtain a plurality of yak milk products to be tested;

[0011] Obtaining the physical and chemical test data of each yak milk product to be tested by means of a testing instrument, wherein the physical and chemical test data include: net content, fat content, protein content, lactose content, acidity and water content;

[0012] Determining the physical and chemical test scores of each yak milk product to be tested according to the physical and chemical test data;

[0013] At multiple moments in the detection cycle, the microbial detection data of each yak milk product to be tested is obtained, wherein the microbial detection data includes: the total number of bacteria, the number of coliform bacteria, and the number of pathogenic bacteria;

[0014] Determining the food safety test score of each yak milk product to be tested according to the microbial test data;

[0015] Determine the processing quality test score of the current batch of yak milk products according to the physical and chemical test score, the food safety test score, and the quantity ratio of the yak milk products to be tested to the sample yak milk products;

[0016] A processing quality inspection report is generated according to the processing quality inspection score.

[0017] According to a second aspect of the present invention, a yak milk product processing quality detection system is provided, comprising:

[0018] A sampling module, used for sampling the current batch of yak milk products to obtain a plurality of sample yak milk products;

[0019] A packaging image acquisition module is used to acquire packaging images of multiple sample yak milk products through an image acquisition device;

[0020] A screening module, used for screening the sample yak milk products according to the packaging image to obtain a plurality of yak milk products to be tested;

[0021] The physical and chemical testing data module is used to obtain the physical and chemical testing data of each yak milk product to be tested through a testing instrument, wherein the physical and chemical testing data include: net content, fat content, protein content, lactose content, acidity and moisture;

[0022] A physical and chemical testing scoring module, used to determine the physical and chemical testing scores of each yak milk product to be tested according to the physical and chemical testing data;

[0023] A microbial detection data module is used to obtain microbial detection data of each yak milk product to be tested at multiple times during the detection cycle, wherein the microbial detection data includes: total bacteria count, coliform count and pathogenic bacteria count;

[0024] A food safety detection and scoring module, used to determine the food safety detection score of each yak milk product to be tested according to the microbial detection data;

[0025] A processing quality inspection and scoring module, used to determine the processing quality inspection score of the current batch of yak milk products according to the physical and chemical inspection score, the food safety inspection score and the quantity ratio of the yak milk products to be tested to the sample yak milk products;

[0026] The processing quality inspection report module is used to generate a processing quality inspection report according to the processing quality inspection score.

[0027] Beneficial effects: According to the present invention, the packaging quality of the sample yak milk products can be screened, thereby screening out a plurality of yak milk products to be tested, and the processing quality of the yak milk products can be comprehensively tested through the physical and chemical testing and food safety testing of the yak milk products to be tested, thereby more accurately testing the processing quality of the yak milk products, and improving the accuracy and comprehensiveness of the yak milk products processing quality testing. When determining the physical and chemical test score, the physical and chemical test score of each yak milk product to be tested can be determined based on the physical and chemical test data. In the calculation process, the physical and chemical properties of the yak milk products can be comprehensively tested based on the net content and ingredient content of the yak milk products, respectively, thereby improving the comprehensiveness, accuracy and objectivity of the physical and chemical test score of the yak milk products. When determining the microbial test score, the microbial test score can be determined based on the microbial test data. In the calculation process, the microorganisms of the yak milk products can be comprehensively tested based on the total number of bacteria, the number of coliform bacteria and the number of pathogenic bacteria in the yak milk products, respectively, thereby improving the comprehensiveness, accuracy and objectivity of the microbial test score. When determining the shelf life test score, the shelf life test score can be determined based on the standard shelf life, total bacteria count, coliform count, pathogenic bacteria count, change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count. During the calculation process, the total bacteria count, intestinal bacteria count and pathogenic bacteria count in the future test cycle can be predicted based on the change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count, and the predicted shelf life can be determined based on this. The minimum value of the ratio of the predicted shelf life to the standard shelf life is taken to determine the earliest occurrence of deterioration, thereby improving the comprehensiveness, accuracy and objectivity of the shelf life test score. When determining the processing quality inspection score, the processing quality inspection score of the current batch of yak milk products can be determined based on the physical and chemical inspection score, the food safety inspection score and the quantity ratio of the yak milk products to be tested and the sample yak milk products. During the calculation process, the processing quality of the current batch of yak milk products can be evaluated based on the three aspects of packaging quality, food safety status and physical and chemical inspection status, thereby improving the comprehensiveness, accuracy and objectivity of the processing quality inspection score of the current batch of yak milk products.

[0028] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and not limiting of the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0030] Figure 1 A schematic diagram showing, by way of example, a method for detecting the processing quality of yak milk products according to an embodiment of the present invention;

[0031] Figure 2 A block diagram of a yak milk product processing quality detection system according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0034] Figure 1 The flowchart of the method for detecting the processing quality of yak milk products according to an embodiment of the present invention is exemplarily shown, and the method comprises:

[0035] Step S101, sampling the current batch of yak milk products to obtain a plurality of sample yak milk products;

[0036] Step S102, collecting packaging images of a plurality of sample yak milk products by using an image acquisition device;

[0037] Step S103, screening the sample yak milk products according to the packaging image to obtain a plurality of yak milk products to be tested;

[0038] Step S104, obtaining the physical and chemical test data of each yak milk product to be tested by a testing instrument, wherein the physical and chemical test data include: net content, fat content, protein content, lactose content, acidity and moisture;

[0039] Step S105, determining the physical and chemical test scores of each yak milk product to be tested according to the physical and chemical test data;

[0040] Step S106, obtaining microbial detection data of each yak milk product to be tested at multiple times during the detection cycle, wherein the microbial detection data includes: total bacteria count, coliform count and pathogenic bacteria count;

[0041] Step S107, determining the food safety test score of each yak milk product to be tested according to the microbial test data;

[0042] Step S108, determining the processing quality inspection score of the current batch of yak milk products according to the physical and chemical inspection score, the food safety inspection score, and the quantity ratio of the yak milk products to be tested to the sample yak milk products;

[0043] Step S109, generating a processing quality inspection report according to the processing quality inspection score.

[0044] According to the yak milk product processing quality detection method of the embodiment of the present invention, the sample yak milk products can be screened according to their packaging quality, thereby screening out a plurality of yak milk products to be tested, and the processing quality of the yak milk products can be comprehensively detected through physical and chemical testing and food safety testing of the yak milk products to be tested, thereby more accurately detecting the processing quality of the yak milk products, thereby improving the accuracy and comprehensiveness of the yak milk product processing quality detection.

[0045] According to one embodiment of the present invention, in step S101, sampling is performed in the current batch of yak milk products to obtain a plurality of sample yak milk products.

[0046] For example, in the process of yak milk product processing, a huge number of yak milk products are involved. Through random sampling inspection, the efficiency and representativeness of yak milk product processing quality inspection can be improved.

[0047] According to an embodiment of the present invention, in step S102, a plurality of sample yak milk product packaging images are acquired by an image acquisition device.

[0048] For example, through the camera, the packaging images of multiple sample yak milk products are collected to prepare for the subsequent screening of the sample yak milk products based on the packaging images.

[0049] According to an embodiment of the present invention, in step S103, the sample yak milk products are screened according to the packaging image to obtain a plurality of yak milk products to be tested.

[0050] According to one embodiment of the present invention, step S103 includes: in the packaging image, identifying whether the packaging of the yak milk product is damaged by an image detection model, and determining a packaging damage identification result; in the packaging image, identifying whether the packaging of the yak milk product indicates the dairy livestock breed, and determining the dairy livestock breed identification result; in the packaging image, identifying whether the packaging information of the yak milk product is complete by an image detection model, and determining the packaging information identification result, wherein the packaging information includes: product name, specifications, net content, main ingredients and production date; determining a packaging standard score based on the packaging damage identification result, the dairy livestock breed identification result and the packaging information identification result; based on the packaging standard score, screening the sample yak milk products to obtain multiple yak milk products to be tested.

[0051] For example, the image detection model is a type of deep learning model. The image detection model is trained with historical data so that it can recognize the packaging information in the image. The image detection model is used to identify the packaging image of yak milk products. If the packaging is damaged, the packaging damage recognition result is 0; if the packaging is not damaged, the packaging damage recognition result is 1. The image detection model is used to identify whether the packaging of yak milk products indicates the dairy animal breed. As a niche milk powder, yak milk products should indicate the dairy animal breed (for example, yak milk powder, yak milk powder). If the packaging indicates the dairy animal breed, the dairy animal breed recognition result is 1; if the packaging does not indicate the dairy animal breed, the dairy animal breed recognition result is recorded as 0. The image detection model is used to identify the packaging information of yak milk products (for example , product name, specification, net content, main ingredients and production date information) are complete. If there is any missing packaging information, the packaging information recognition result is 0, if there is no missing packaging information, the packaging information recognition result is 1; the packaging damage recognition result, the dairy livestock breed recognition result and the packaging information recognition result are summed to determine the packaging standard score; according to the packaging standard score, the sample yak milk products are screened, when the packaging standard score is equal to 3, the sample yak milk product passes the screening and obtains the yak milk product to be tested; when the packaging standard score is less than 3, the sample yak milk product fails the screening.

[0052] According to an embodiment of the present invention, in step S104, the physical and chemical test data of each yak milk product to be tested is obtained by a testing instrument, wherein the physical and chemical test data includes: net content, fat content, protein content, lactose content, acidity and water content. The testing instrument includes a spectrometer, etc., and the present invention does not limit the type of the testing instrument.

[0053] For example, the physical and chemical test data of each yak milk product to be tested can be obtained through a milk component analyzer to determine the net content, fat content, protein content, lactose content, acidity and water content of each yak milk product to be tested. By analyzing the physical and chemical test data of yak milk products, it can be determined whether the physical and chemical composition of each yak milk product to be tested meets the standards.

[0054] According to an embodiment of the present invention, in step S105, the physical and chemical test scores of each yak milk product to be tested are determined based on the physical and chemical test data.

[0055] According to one embodiment of the present invention, step S105 includes: determining the standard net content, standard fat content, standard protein content, standard lactose content, standard acidity and standard moisture of the yak milk product to be tested according to the packaging information; determining the standard component content vector according to the standard fat content, the standard protein content, the standard lactose content, the standard acidity and the standard moisture; determining the actual component content vector according to the fat content, the protein content, the lactose content, the acidity and the moisture; determining the physical and chemical detection score according to the standard component content vector, the actual component content vector, the standard net content and the net content.

[0056] For example, the standard net content, standard fat content, standard protein content, standard lactose content, standard acidity and standard moisture of the yak milk product to be tested can be directly determined through the packaging information; the standard component content vector can be determined according to the standard fat content, standard protein content, standard lactose content, standard acidity and standard moisture; the actual component content vector can be determined according to the fat content, protein content, lactose content, acidity and moisture; based on the standard component content vector, actual component content vector, standard net content and net content, it can be judged whether the net content and actual component content of the yak milk product to be tested meet the standards, and the physical and chemical test scores can be determined.

[0057] According to one embodiment of the present invention, the physical and chemical test score is determined according to the standard component content vector, the actual component content vector, the standard net content and the net content, including: determining the physical and chemical test score of the kth yak milk product to be tested according to formula (1): , (1); among which, is the net content of the kth yak milk product to be tested, is the standard net content of the kth yak milk product to be tested, is the fat content of the kth yak milk product to be tested, is the standard fat content of the kth yak milk product to be tested, is the protein content of the kth yak milk product to be tested, is the standard protein content of the kth yak milk product to be tested, is the lactose content of the kth yak milk product to be tested, is the standard lactose content of the kth yak milk product to be tested, is the acidity of the kth yak milk product to be tested, is the standard acidity of the kth yak milk product to be tested, is the water content of the kth yak milk product to be tested, is the standard water content of the kth yak milk product to be tested, is the actual component content vector of the kth yak milk product to be tested, is the standard component content vector of the kth yak milk product to be tested, for The transposed vector of .

[0058] According to one embodiment of the present invention, is the cosine similarity between the actual component content vector of the kth yak milk product to be tested and the standard component content vector of the kth yak milk product to be tested. The closer this cosine similarity is to 1, the smaller the difference between the actual fat content, protein content, lactose content, acidity and moisture of the kth yak milk product to be tested and the standard fat content, standard protein content, standard lactose content, standard acidity and standard moisture is, and the actual component content of the kth yak milk product to be tested is more in line with the standard. It represents the relative difference between the standard net content of the kth yak milk product to be tested and the net content of the kth yak milk product to be tested. When the net content of the kth yak milk product to be tested is relatively higher, the ratio is smaller. The larger the value, the greater the physical and chemical test score. To determine the physical and chemical testing score according to the actual ingredient content and net content of the kth yak milk product to be tested, the larger the physical and chemical testing score is, the more the physical and chemical testing condition of the kth yak milk product to be tested conforms to the standard.

[0059] In this way, the physical and chemical test scores of each yak milk product to be tested can be determined based on the physical and chemical test data. During the calculation process, the physical and chemical properties of yak milk products can be comprehensively tested based on the net content and ingredient content of yak milk products, thereby improving the comprehensiveness, accuracy and objectivity of the physical and chemical test scores of yak milk products.

[0060] According to an embodiment of the present invention, in step S106, microbial detection data of each yak milk product to be tested is obtained at multiple times in the detection cycle, wherein the microbial detection data includes: total bacteria count, coliform count and pathogenic bacteria count.

[0061] For example, the duration of the test cycle can be set to 1 day. During the test cycle, the yak milk products to be tested are subjected to microbial testing using a rapid microbial testing instrument. Sterilized instruments are required to perform sampling and testing in a sterile room. The sampling of the yak milk products to be tested needs to be selected according to the product type and state. For example, for liquid milk products packaged in barrels or large containers, the liquid should be shaken or stirred with a sterilization rod before sampling to achieve homogeneity. For solid milk products, samples should be taken from multiple points and each sample should be processed separately.

[0062] According to an embodiment of the present invention, in step S107, the food safety test score of each yak milk product to be tested is determined based on the microbial test data.

[0063] According to one embodiment of the present invention, step S107 includes: determining a microbial detection score according to the microbial detection data; determining a standard shelf life of the yak milk product to be tested according to the packaging information; fitting the total bacteria count, the coliform count, the pathogenic bacteria count and multiple moments of the detection cycle to obtain a total bacteria count function, a coliform count function and a pathogenic bacteria count function in the current detection cycle; determining a derivative function of the total bacteria count, a derivative function of the coliform count and a pathogenic bacteria count according to the total bacteria count function, the coliform count function and the pathogenic bacteria count function. derivative of the number of pathogenic bacteria; determine the change rate of the total number of bacteria, the change rate of the number of coliform bacteria and the change rate of the number of pathogenic bacteria at multiple moments in the current detection cycle according to the derivative of the total number of bacteria, the derivative of the number of coliform bacteria and the derivative of the number of pathogenic bacteria; determine the shelf life detection score according to the standard shelf life, the total number of bacteria, the number of coliform bacteria, the number of pathogenic bacteria, the change rate of the total number of bacteria, the change rate of the number of coliform bacteria and the change rate of the number of pathogenic bacteria; determine the food safety detection score according to the microbial detection score and the shelf life detection score.

[0064] For example, the standard shelf life of the yak milk product to be tested is determined based on the packaging information; the total bacteria count, coliform count, pathogenic bacteria count and multiple moments of the detection cycle are fitted to obtain the total bacteria count function, the coliform count function and the pathogenic bacteria count function used to describe the change of the total bacteria count over time in the current detection cycle; the total bacteria count function, the coliform count function and the pathogenic bacteria count function are derived to obtain the total bacteria count derivative function, the coliform count derivative function and the pathogenic bacteria count derivative function; the current detection cycle is converted into The derivative of the total bacteria count, the derivative of the coliform count and the derivative of the pathogenic bacteria count are substituted into the derivative functions at multiple moments in the period to obtain the change rates of the total bacteria count, the coliform count and the pathogenic bacteria count at multiple moments in the current detection cycle; based on the standard shelf life, the total bacteria count, the coliform count, the pathogenic bacteria count, the change rate of the total bacteria count, the change rate of the coliform count and the change rate of the pathogenic bacteria count, evaluate whether the shelf life of yak milk meets the standard and determine the shelf life detection score; determine the food safety detection score by taking a weighted sum of the microbial detection score and the shelf life detection score.

[0065] According to an embodiment of the present invention, determining the microbial detection score based on the microbial detection data includes: determining the microbial detection score of the kth yak milk product to be tested according to formula (2): , (2); among which, , and is the preset weight, is the conditional function, is the preset standard coliform count, is the preset standard number of pathogenic bacteria, is the number of coliform bacteria in the kth yak milk product to be tested at the beginning of the testing cycle, is the number of pathogenic bacteria in the kth yak milk product to be tested at the beginning of the testing cycle, is the total number of bacteria in the kth yak milk product to be tested at the beginning of the test cycle, The preset standard total bacterial count.

[0066] According to one embodiment of the present invention, It is the ratio of the difference between the preset standard total bacteria count and the total bacteria count of the kth yak milk product to be tested at the beginning of the testing cycle to the preset standard total bacteria count, which represents the relative difference between the preset standard total bacteria count and the total bacteria count of the kth yak milk product to be tested at the beginning of the testing cycle. The larger the ratio is, the smaller the total bacteria count in the kth yak milk product to be tested is. Since the total bacteria count in yak milk products should be controlled at a low level, the smaller the total bacteria count in yak milk products is, the better the food safety status of yak milk products is, and the larger the microbial detection score is.

[0067] According to one embodiment of the present invention, in formula (2), the following two situations can be expressed in the form of conditional functions: , it means that the kth yak milk product to be tested did not detect coliform bacteria at the beginning of the detection cycle. At this time, the conditional function The value is 1, when it does not meet , it means that the kth yak milk product to be tested has coliform bacteria at the beginning of the test cycle. At this time, the conditional function The value of , It represents the relative difference between the preset standard coliform group count and the coliform group count of the kth yak milk product to be tested at the beginning of the testing cycle. The larger the ratio is, the smaller the coliform group count of the kth yak milk product to be tested at the beginning of the testing cycle is. Coliform group is an important indicator for evaluating food hygiene quality. For yak milk products, coliform group should be strictly controlled. Therefore, the smaller the coliform group count is, the better the food safety status of the yak milk product is, and the larger the microbial detection score is.

[0068] According to one embodiment of the present invention, in formula (2), the following two situations can be expressed in the form of conditional functions: , it means that no pathogenic bacteria were detected in the kth yak milk product at the beginning of the detection cycle. At this time, the conditional function The value is 1, when it does not meet , it means that the kth yak milk product to be tested has detected pathogenic bacteria at the beginning of the detection cycle. At this time, the conditional function The value of , It represents the relative difference between the preset standard pathogenic bacteria count and the pathogenic bacteria count of the kth yak milk product to be tested at the beginning of the testing cycle. The larger the ratio is, the fewer the pathogenic bacteria count detected at the beginning of the testing cycle of the kth yak milk product to be tested. For yak milk products, the number of pathogenic bacteria must be strictly controlled at zero or an extremely low level. Therefore, the fewer the number of pathogenic bacteria, the better the food safety status of the yak milk product, and the greater the microbial detection score.

[0069] According to one embodiment of the present invention, It means that the microbial detection score is determined by taking the weighted sum of the total bacteria detection status, coliform detection status and pathogenic bacteria detection status in yak milk products.

[0070] In this way, the microbial detection score can be determined based on the microbial detection data. During the calculation process, the microorganisms of yak milk products can be comprehensively tested based on the total bacteria count, coliform count and pathogenic bacteria count in yak milk products, thereby improving the comprehensiveness, accuracy and objectivity of the microbial detection score.

[0071] According to one embodiment of the present invention, the shelf life detection score is determined according to the standard shelf life, the total bacteria count, the coliform count, the pathogenic bacteria count, the change rate of the total bacteria count, the change rate of the coliform count and the change rate of the pathogenic bacteria count, including: determining the shelf life detection score of the kth yak milk product to be tested according to formula (3), formula (4), formula (5) and formula (6): , (3);

[0072] (4)

[0073] in, ;

[0074] (5)

[0075] in, ;

[0076] (6)

[0077] in, ;

[0078] in, is the first predicted shelf life, is the second predicted shelf life, For the third predicted shelf life, To obtain the minimum function, To preset the total number of spoilage bacteria threshold, To preset the threshold of harmful coliform count, To preset the threshold of harmful pathogenic bacteria, For the standard shelf life, For the detection cycle a moment, For the detection cycle The change rate of total bacteria count at a certain moment, For the detection cycle The change rate of coliform bacteria count at a certain moment, For the detection cycle The change rate of pathogenic bacteria count at each moment, Indicates A detection cycle, Indicates A detection cycle, Indicates A detection cycle, is the duration of the detection cycle, is the number of moments in the detection cycle, ≤ ,and and All are positive integers.

[0079] According to one embodiment of the present invention, in formula (4), the first predicted shelf life The value of , represents the predicted shelf life based on the total bacterial count, where satisfy , the above formula Can be equivalent to , It indicates the average change rate of total bacteria count during the detection period. It indicates that the kth yak milk product to be tested is predicted to be in the first The total number of bacteria at the end of a detection cycle, Indicates that the kth yak milk product to be tested is predicted to be The total number of bacteria at the end of a detection cycle, Indicated in At the end of the first detection cycle, the predicted total number of bacteria does not exceed the preset threshold of total number of spoiled bacteria. At the end of the first detection cycle, the predicted total number of bacteria exceeds the preset spoilage bacteria threshold, indicating that the yak milk product is predicted to be Deterioration occurred during the detection cycle.

[0080] According to one embodiment of the present invention, in formula (5), the second predicted shelf life The value of , represents the predicted shelf life based on the number of coliform bacteria, where satisfy , the above formula Can be equivalent to , Indicates the average rate of change of coliform count during the detection period, It indicates that the kth yak milk product to be tested is predicted to be in the first The number of coliform bacteria at the end of a detection cycle, Indicates that the kth yak milk product to be tested is predicted to be The number of coliform bacteria at the end of a detection cycle, Indicated in At the end of the first detection cycle, the predicted coliform count does not exceed the preset threshold of harmful coliform count. At the end of the first detection cycle, the predicted coliform count exceeds the preset threshold of harmful coliform count, indicating that yak milk products are predicted to be It deteriorated within the first test cycle and cannot be eaten.

[0081] According to one embodiment of the present invention, in formula (6), the third predicted shelf life The value of , represents the predicted shelf life based on the number of pathogenic bacteria, where satisfy , the above formula Can be equivalent to , It indicates the average pathogen count change rate during the detection period. It indicates that the kth yak milk product to be tested is predicted to be in the first The number of pathogens at the end of a detection cycle, Indicates that the kth yak milk product to be tested is predicted to be The number of pathogens at the end of a detection cycle, Indicated in At the end of the detection cycle, the predicted number of pathogenic bacteria does not exceed the preset threshold of harmful pathogenicity. At the end of the detection cycle, the predicted number of pathogenic bacteria exceeds the preset threshold of harmful pathogenic bacteria, indicating that yak milk products are predicted to be It deteriorated within the first test cycle and cannot be eaten.

[0082] According to one embodiment of the present invention, is the ratio of the first predicted shelf life to the standard shelf life. The larger the ratio, the more the first predicted shelf life meets the standard. It is the ratio of the second predicted shelf life to the standard shelf life. The larger the ratio is, the more the second predicted shelf life conforms to the standard. It is the ratio of the third predicted shelf life to the standard shelf life. The larger the ratio is, the more the third predicted shelf life conforms to the standard. It means taking the minimum value among the ratio of the first predicted shelf life to the standard shelf life, the ratio of the second predicted shelf life to the standard shelf life, and the ratio of the third predicted shelf life to the standard shelf life. The above processing of taking the minimum value can be used to determine the earliest time when yak milk deteriorates, and the shelf life detection score is determined based on this, so that the shelf life detection score can reflect whether the shelf life of the sample yak milk product meets the standard.

[0083] In this way, the shelf life test score is determined according to the standard shelf life, total bacteria count, coliform count, pathogenic bacteria count, change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count. During the calculation process, the total bacteria count, intestinal bacteria count and pathogenic bacteria count in the future test cycle can be predicted according to the change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count, and the predicted shelf life is determined based on this. The minimum value of the ratio of the predicted shelf life to the standard shelf life is taken to determine the earliest occurrence of deterioration, thereby improving the comprehensiveness, accuracy and objectivity of the shelf life test score.

[0084] According to one embodiment of the present invention, in step S108, the processing quality inspection score of the current batch of yak milk products is determined based on the physical and chemical inspection score, the food safety inspection score and the quantity ratio of the yak milk products to be tested to the sample yak milk products.

[0085] According to one embodiment of the present invention, step S108 includes: determining the processing quality inspection score of the current batch of yak milk products according to formula (7): , (7); among which, is the conditional function, and is the preset weight, is the microbiological detection score of the kth yak milk product to be tested, is the shelf life test score of the kth yak milk product to be tested, To preset the food safety test score threshold, is the physical and chemical test score of the kth yak milk product to be tested, To preset the physical and chemical test scoring threshold, is the ratio of the yak milk products to be tested to the sample yak milk products, K is the number of yak milk products to be tested, k≤K, and both k and K are positive integers.

[0086] According to one embodiment of the present invention, The weighted sum of the microbial test score of the k-th yak milk product to be tested and the shelf life test score of the k-th yak milk product to be tested represents the food safety test score of the k-th yak milk product to be tested.

[0087] According to one embodiment of the present invention, in formula (7), the following two situations can be expressed in the form of conditional functions: When the condition is met, it means that the food safety test score of the k-th yak milk product to be tested is greater than the preset food safety test score threshold, and the food safety status of the k-th yak milk product to be tested meets the standard. The condition function The value is 1, when it does not meet When the condition is met, it means that the food safety test score of the k-th yak milk product to be tested is less than or equal to the preset food safety test score threshold, and the food safety status of the k-th yak milk product to be tested does not meet the standard. The condition function The value of is 0.

[0088] According to one embodiment of the present invention, in formula (7), the following two situations can be expressed in the form of conditional functions: When the condition is met, it means that the physical and chemical test score of the k-th yak milk product to be tested is greater than the preset physical and chemical test score threshold, and the physical and chemical test of the k-th yak milk product to be tested meets the standard. The condition function The value is 1, when it does not meet When the condition is met, it means that the physical and chemical test score of the k-th yak milk product to be tested is less than or equal to the preset physical and chemical test score threshold, and the physical and chemical test of the k-th yak milk product to be tested does not meet the standard. The condition function The value of is 0.

[0089] According to one embodiment of the present invention, It represents the food safety test status and physical and chemical test status of the kth yak milk product to be tested. represents the average food safety testing status and average physical and chemical testing status of K yak milk products to be tested, It represents the average food safety test status and average physical and chemical test status of K yak milk products to be tested. It means that the processing quality inspection score of the current batch of yak milk products is determined according to the average food safety inspection status and average physical and chemical inspection status of K yak milk products to be tested, as well as the quantity ratio of the yak milk products to be tested and the sample yak milk products. The larger the processing quality inspection score, the better the processing quality of the current batch of yak milk products.

[0090] In this way, the processing quality inspection score of the current batch of yak milk products is determined according to the physical and chemical inspection scores, food safety inspection scores and the quantity ratio of the yak milk products to be tested and the sample yak milk products. During the calculation process, the processing quality of the current batch of yak milk products can be evaluated according to the three aspects of packaging quality, food safety status and physical and chemical inspection status, thereby improving the comprehensiveness, accuracy and objectivity of the processing quality inspection score of the current batch of yak milk products.

[0091] According to an embodiment of the present invention, in step S109, a processing quality inspection report is generated according to the processing quality inspection score.

[0092] For example, when the processing quality inspection score is lower than the set threshold, the staff will be notified to conduct a comprehensive review and thorough improvement of the raw material ratio, production process, sanitary environment and packaging technology in the processing of yak milk products.

[0093] According to the yak milk product processing quality detection method and system of the embodiment of the present invention, the sample yak milk product can be screened according to the packaging quality of the sample yak milk product, thereby screening out a plurality of yak milk products to be tested, and the processing quality of the yak milk product can be comprehensively detected through the physical and chemical detection and food safety detection of the yak milk product to be tested, thereby more accurately detecting the processing quality of the yak milk product, and improving the accuracy and comprehensiveness of the yak milk product processing quality detection. When determining the physical and chemical detection score, the physical and chemical detection score of each yak milk product to be tested can be determined according to the physical and chemical detection data. In the calculation process, the physical and chemical properties of the yak milk product can be comprehensively detected according to the net content and component content of the yak milk product, thereby improving the comprehensiveness, accuracy and objectivity of the physical and chemical detection score of the yak milk product. When determining the microbial detection score, the microbial detection score can be determined according to the microbial detection data. In the calculation process, the microorganisms of the yak milk product can be comprehensively detected according to the total number of bacteria, the number of coliform bacteria and the number of pathogenic bacteria in the yak milk product, thereby improving the comprehensiveness, accuracy and objectivity of the microbial detection score. When determining the shelf life test score, the shelf life test score can be determined based on the standard shelf life, total bacteria count, coliform count, pathogenic bacteria count, change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count. During the calculation process, the total bacteria count, intestinal bacteria count and pathogenic bacteria count in the future test cycle can be predicted based on the change rate of total bacteria count, change rate of coliform count and change rate of pathogenic bacteria count, and the predicted shelf life can be determined based on this. The minimum value of the ratio of the predicted shelf life to the standard shelf life is taken to determine the earliest occurrence of deterioration, thereby improving the comprehensiveness, accuracy and objectivity of the shelf life test score. When determining the processing quality inspection score, the processing quality inspection score of the current batch of yak milk products can be determined based on the physical and chemical inspection score, the food safety inspection score and the quantity ratio of the yak milk products to be tested and the sample yak milk products. During the calculation process, the processing quality of the current batch of yak milk products can be evaluated based on the three aspects of packaging quality, food safety status and physical and chemical inspection status, thereby improving the comprehensiveness, accuracy and objectivity of the processing quality inspection score of the current batch of yak milk products.

[0094] Figure 2 A block diagram of a yak milk product processing quality detection system according to an embodiment of the present invention is exemplarily shown, and the system comprises:

[0095] A sampling module, used for sampling the current batch of yak milk products to obtain a plurality of sample yak milk products;

[0096] A packaging image acquisition module is used to acquire packaging images of multiple sample yak milk products through an image acquisition device;

[0097] A screening module, used for screening the sample yak milk products according to the packaging image to obtain a plurality of yak milk products to be tested;

[0098] The physical and chemical testing data module is used to obtain the physical and chemical testing data of each yak milk product to be tested through a testing instrument, wherein the physical and chemical testing data include: net content, fat content, protein content, lactose content, acidity and moisture;

[0099] A physical and chemical testing scoring module, used to determine the physical and chemical testing scores of each yak milk product to be tested according to the physical and chemical testing data;

[0100] A microbial detection data module is used to obtain microbial detection data of each yak milk product to be tested at multiple times during the detection cycle, wherein the microbial detection data includes: total bacteria count, coliform count and pathogenic bacteria count;

[0101] A food safety detection and scoring module, used to determine the food safety detection score of each yak milk product to be tested according to the microbial detection data;

[0102] A processing quality inspection and scoring module, used to determine the processing quality inspection score of the current batch of yak milk products according to the physical and chemical inspection score, the food safety inspection score and the quantity ratio of the yak milk products to be tested to the sample yak milk products;

[0103] The processing quality inspection report module is used to generate a processing quality inspection report according to the processing quality inspection score.

[0104] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A method for detecting the processing quality of yak milk products, characterized in that: The following steps are involved: Sampling the current batch of yak milk products to obtain a plurality of sample yak milk products; Using an image acquisition device, collecting packaging images of multiple sample yak milk products; Screening the sample yak milk products according to the packaging image to obtain a plurality of yak milk products to be tested; Obtaining the physical and chemical test data of each yak milk product to be tested by means of a testing instrument, wherein the physical and chemical test data include: net content, fat content, protein content, lactose content, acidity and water content; Determining the physical and chemical test scores of each yak milk product to be tested according to the physical and chemical test data; At multiple moments in the detection cycle, the microbial detection data of each yak milk product to be tested is obtained, wherein the microbial detection data includes: the total number of bacteria, the number of coliform bacteria, and the number of pathogenic bacteria; Determining the food safety test score of each yak milk product to be tested according to the microbial test data; Determine the processing quality test score of the current batch of yak milk products according to the physical and chemical test score, the food safety test score, and the quantity ratio of the yak milk products to be tested to the sample yak milk products; Generating a processing quality inspection report according to the processing quality inspection score; Wherein, the sample yak milk products are screened according to the packaging image to obtain a plurality of yak milk products to be tested, including: In the packaging image, identifying whether the packaging of the yak milk product is damaged by using an image detection model, and determining a packaging damage identification result; In the packaging image, identifying whether the packaging of the yak milk product indicates the dairy animal breed through an image detection model, and determining a dairy animal breed identification result; In the packaging image, the image detection model is used to identify whether the packaging information of the yak milk product is complete, and a packaging information recognition result is determined, wherein the packaging information includes: product name, specification, net content, main ingredients and production date; Determining a packaging standard score according to the packaging damage identification result, the dairy livestock breed identification result and the packaging information identification result; Screening the sample yak milk products according to the packaging standard scores to obtain a plurality of yak milk products to be tested; Wherein, the food safety test score of each yak milk product to be tested is determined according to the microbial test data, including: Determining a microbial detection score based on the microbial detection data; Determine the standard shelf life of the yak milk product to be tested according to the packaging information; Fitting the total bacteria count, the coliform group count, the pathogenic bacteria count and multiple moments of the detection cycle to obtain a function of the total bacteria count, a function of the coliform group count and a function of the pathogenic bacteria count in the current detection cycle; Determine the derivative function of the total number of bacteria, the derivative function of the number of coliform bacteria, and the derivative function of the number of pathogenic bacteria according to the total number of bacteria function, the coliform group function, and the pathogenic bacteria function; Determine the change rate of the total bacteria count, the change rate of the coliform count, and the change rate of the pathogenic bacteria count at multiple moments in the current detection cycle according to the derivative function of the total bacteria count, the derivative function of the coliform count, and the derivative function of the pathogenic bacteria count; Determine a shelf life detection score according to the standard shelf life, the total bacteria count, the coliform count, the pathogenic bacteria count, the change rate of the total bacteria count, the change rate of the coliform count and the change rate of the pathogenic bacteria count; Determining a food safety test score based on the microbial test score and the shelf life test score; Wherein, determining the microbial detection score according to the microbial detection data includes: According to the formula Determine the microbial detection score Mt of the kth yak milk product to be tested k , where α1, α2 and α3 are preset weights, if{.} is a conditional function, and Noc t is the preset standard coliform count, Nopb t is the preset standard number of pathogenic bacteria, Noc k，1 is the number of coliform bacteria in the kth yak milk product to be tested at the beginning of the testing cycle, Nopb k，1 is the number of pathogenic bacteria in the kth yak milk product to be tested at the beginning of the testing cycle, Tbc k，1 is the total number of bacteria in the kth yak milk product to be tested at the beginning of the test cycle, Tbc t The total number of bacteria is preset as standard; Wherein, the shelf life detection score is determined according to the standard shelf life, the total bacteria count, the coliform count, the pathogenic bacteria count, the change rate of the total bacteria count, the change rate of the coliform count and the change rate of the pathogenic bacteria count, including: according to the formula Tqgp p1 =(n-1)Δt, in, Tqgp p2 =(a-1)Δt, in, Tqgp p3 =(b-1)Δt, in, Determine the shelf life test score Qt of the kth yak milk product to be tested k , where Tqgp p1 is the first predicted shelf life, Tqgp p2 is the second predicted shelf life, Tqgp p3 is the third predicted shelf life, min[.] is the minimum value function, Td t2 To preset the total number of spoilage bacteria threshold, Noc t2 To preset the threshold of harmful coliform count, Nopb t2 is the preset threshold of harmful pathogenic bacteria, Tqgp is the standard shelf life, t i is the i-th moment of the detection cycle, T' i (t i ) is the total bacterial count change rate at the i-th moment of the detection period, Noc'1(t i ) is the rate of change of the number of coliform bacteria at the i-th moment of the detection period, Nopb'1(t i ) is the rate of change of the number of pathogenic bacteria at the i-th moment of the detection period, a represents the a-th detection period, b represents the b-th detection period, n represents the n-th detection period, Δt is the duration of the detection period, m is the number of moments in the detection period, i≤m, and i and m are both positive integers.

2. The yak milk product processing quality detection method according to claim 1, characterized in that: According to the physical and chemical test data, the physical and chemical test scores of each yak milk product to be tested are determined, including: According to the packaging information, determine the standard net content, standard fat content, standard protein content, standard lactose content, standard acidity and standard moisture content of the yak milk product to be tested; Determine a standard component content vector according to the standard fat content, the standard protein content, the standard lactose content, the standard acidity and the standard moisture; determining an actual component content vector according to the fat content, the protein content, the lactose content, the acidity and the moisture; A physical and chemical test score is determined based on the standard component content vector, the actual component content vector, the standard net content and the net content.

3. The yak milk product processing quality detection method according to claim 2, characterized in that: Determining a physical and chemical test score according to the standard component content vector, the actual component content vector, the standard net content and the net content includes: According to the formula Determine the physical and chemical test score Pct of the kth yak milk product to be tested k , where NC k is the net content of the kth yak milk product to be tested, SNC k is the standard net content of the kth yak milk product to be tested, Fc k is the fat content of the kth yak milk product to be tested, SFc k is the standard fat content of the kth yak milk product to be tested, Pc k is the protein content of the kth yak milk product to be tested, SPc k is the standard protein content of the kth yak milk product to be tested, Lc k is the lactose content of the kth yak milk product to be tested, SLc k is the standard lactose content of the kth yak milk product to be tested, Ac k is the acidity of the kth yak milk product to be tested, SAc k is the standard acidity of the kth yak milk product to be tested, Wc k is the water content of the kth yak milk product to be tested, SWc k is the standard water content of the kth yak milk product to be tested, is the actual component content vector of the kth yak milk product to be tested, is the standard component content vector of the kth yak milk product to be tested, for The transposed vector of .

4. The yak milk product processing quality detection method according to claim 1, characterized in that: Determining the processing quality inspection score of the current batch of yak milk products according to the physical and chemical inspection score, the food safety inspection score, and the quantity ratio of the yak milk product to be tested to the sample yak milk product includes: According to the formula Determine the processing quality inspection score Pqt of the current batch of yak milk products, where if{.} is the conditional function, β1 and β2 are the preset weights, and Mt k is the microbiological test score of the kth yak milk product to be tested, Qt k Fst is the shelf life test score of the kth yak milk product to be tested, t To preset the food safety test score threshold, Pct k is the physical and chemical test score of the kth yak milk product to be tested, Pct t is the preset physical and chemical detection score threshold, Qr is the ratio of the yak milk products to be tested to the sample yak milk products, K is the number of yak milk products to be tested, k≤K, and k and K are both positive integers.

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