Quality tracking method and system for aquaculture process of aquatic products
By identifying and processing various data of aquatic product aquaculture process, adjusting breeding parameters and calculating quality reference scores, the problems of limited monitoring methods of aquatic product aquaculture process quality tracking methods in the prior art are solved, and the data processing efficiency is low, thus achieving the goal of achieving Supports the quality and safety of aquatic products and quality traceability.
Patent Information
- Application Number
- CN202411351383.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2025-02-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing aquatic product aquatic aquatic process quality tracking methods have problems such as limited monitoring methods and low data processing efficiency. It is difficult to obtain more comprehensive data on the aquatic product aquatic aquatic process, and it is impossible to adjust the aquatic process in a timely manner, and there is a lack of specific processes for evaluating the quality of aquatic product. .
By identifying and processing aquatic product aquaculture data, water quality data, environmental data, image data, and action data of the aquatic product aquaculture process, adjusting breeding parameters according to the processing results, and calculating quality reference scores, uploading them to the blockchain cloud platform to achieve Quality tracking.
It realizes the collection and preservation of quality data for aquatic products before market launch, ensures the quality and safety of aquatic products, provides data support for the quality traceability of aquatic products, and improves the quality and efficiency of aquatic products.
Smart Images

Figure CN119477026A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of aquatic product management, and more particularly to a method and system for tracking the quality of aquatic product breeding process. Background Art
[0002] At present, aquaculture has become one of the main channels for farmers to increase their income. The quality and safety of aquatic products is not only related to the health of the public, but also has a significant impact on agricultural development, farmers' income, agricultural trade and agricultural modernization. Therefore, the quality and safety of aquatic products are becoming more and more important. With the continuous development of the aquatic product industry, aquatic product quality tracking plays an important role in ensuring the quality of aquatic products.
[0003] However, the existing quality tracking methods for aquatic product breeding processes have problems such as limited monitoring means and low data processing efficiency. It is difficult to obtain relatively comprehensive data on the aquatic product breeding process, and it is impossible to make timely adjustments to problems in the aquatic product breeding process. At the same time, there is also a lack of a specific process for evaluating the quality of aquatic products.
[0004] Therefore, how to provide a method and system for tracking the quality of aquaculture processes that can solve the above-mentioned problems is an issue that those skilled in the art urgently need to solve. Summary of the invention
[0005] In view of this, the present invention provides a method and system for tracking the quality of aquatic product breeding process, which completes the collection and preservation of quality data of aquatic products before they are put on the market, realizes quality inspection and management of aquatic products before they are put on the market, ensures the quality and safety of aquatic products, and provides data support for the traceability of aquatic product quality.
[0006] In order to achieve the above object, the present invention adopts the following technical solution:
[0007] A method for tracking the quality of aquatic product breeding process, comprising the following steps:
[0008] Sampling calculations are performed based on the number of target aquatic products in the aquatic product breeding area, and a corresponding number of aquatic products are selected based on the calculation results to add data recording labels;
[0009] Collecting aquatic product breeding parameters in an aquatic product breeding area, identifying and processing the aquatic product breeding parameters to obtain corresponding data processing results, adjusting the aquatic product breeding parameters according to the data processing results, and uploading the aquatic product breeding parameter adjustment results to the blockchain cloud platform and the data recording tag;
[0010] Continue to complete the aquatic product breeding according to the adjustment result of the aquatic product breeding parameter, calculate the quality reference score of the aquatic product and upload it to the blockchain cloud platform and the data recording label;
[0011] The data uploaded to the blockchain cloud platform is classified, and the data record label is bound to the blockchain cloud platform to complete quality tracking.
[0012] Preferably, it also includes:
[0013] The user's aquatic product quality tracking request and aquatic product quality requirements are obtained, and whether traceability processing is required is determined based on the comparison result of the aquatic product quality requirements with the quality reference score.
[0014] Preferably, the specific processing process of adjusting the aquatic product breeding parameters according to the data processing results includes:
[0015] Collecting aquatic product breeding parameters, wherein the aquatic product breeding parameters include: aquatic product breeding data, water quality data, environmental data and image data of aquatic product breeding areas, and processing the image data to obtain corresponding aquatic product action data;
[0016] Constructing a recognition model, inputting the aquatic product breeding data, water quality data, environmental data, image data, and motion data into the recognition model for processing, and obtaining corresponding data processing results;
[0017] Determining the adjustment direction of the target aquatic product according to the data processing result;
[0018] Whether the aquatic product breeding parameters need to be adjusted is determined according to the adjustment direction.
[0019] Preferably, the specific process of judging whether the aquatic product breeding parameters need to be adjusted according to the adjustment direction includes:
[0020] When the data processing results show that no adjustment is required, continuing aquaculture;
[0021] When the data processing result shows that the water quality data of the target aquatic product is lower than the preset water quality threshold, a water quality data adjustment method is obtained through the network and the adjustment is completed;
[0022] When the data processing result shows that the health index parameter of the target aquatic product is lower than the preset health threshold, the health intervention method is obtained through the network and the adjustment is completed.
[0023] Preferably, the specific process of classifying the data uploaded to the blockchain cloud platform and binding the data record label to the blockchain cloud platform includes:
[0024] Preprocessing the aquatic product breeding data, water quality data, environmental data, image data, and motion data;
[0025] The aquatic product breeding data and the motion data are sorted according to preset classification rules to form an aquatic product breeding data set, and the water quality data, the image data, and the environmental data are sorted to form an environmental parameter set;
[0026] The aquaculture data set, the environmental parameter set and the data recording tag are bound together.
[0027] Preferably, the specific process of calculating the quality reference score of aquatic products includes:
[0028] Calculate the comprehensive scores of the aquatic product breeding data and action data to obtain the corresponding breeding process score;
[0029] Conduct physical and chemical test analysis on the target aquatic products, and obtain corresponding external and internal characteristic scores based on the test results;
[0030] Obtain the transportation method of the target aquatic product, and determine the corresponding logistics and transportation score according to the transportation method;
[0031] The aquaculture process score, external and internal characteristic scores, and logistics and transportation scores of aquatic products are weighted and integrated to obtain the final quality reference score.
[0032] The present invention also provides an intelligent tracking system for the quality of aquatic product breeding process, comprising:
[0033] A setting module is used to perform sampling calculation according to the number of target aquatic products in the aquatic product breeding area, and select a corresponding number of aquatic products according to the calculation results to add data recording labels;
[0034] An identification module, used to collect aquatic product breeding parameters in an aquatic product breeding area, identify and process the aquatic product breeding parameters, obtain corresponding data processing results, adjust the aquatic product breeding parameters according to the data processing results, and upload the aquatic product breeding parameter adjustment results to the blockchain cloud platform and the data recording tag;
[0035] A calculation module, used to continue to complete the cultivation of aquatic products according to the adjustment result of the aquatic product cultivation parameters, calculate the quality reference score of the aquatic products and upload it to the blockchain cloud platform and the data recording label;
[0036] The binding module is used to classify the data uploaded to the blockchain cloud platform and bind the data record label with the blockchain cloud platform to complete quality tracking.
[0037] It can be seen from the above technical solution that compared with the prior art, the present invention discloses a method and system for tracking the quality of aquatic product breeding process, by identifying and processing aquatic product breeding data, water quality data, environmental data, image data, and motion data of the aquatic product breeding process, adjusting the aquatic product breeding process according to the processing results and calculating the corresponding quality reference score, and at the same time, the above processing results and calculation results are uploaded to the blockchain cloud platform to ensure the security of the data. The present invention can complete the collection and preservation of quality data of aquatic products before they are put on the market, realize quality inspection and management of aquatic products before they are put on the market, ensure the quality and safety of aquatic products, and provide data support for traceability of aquatic product quality. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0039] Figure 1 The overall flow chart of a method for tracking the quality of aquatic product breeding process provided by the present invention;
[0040] Figure 2 This is a structural principle block diagram of an intelligent tracking system for quality of aquatic product breeding process provided by the present invention. DETAILED DESCRIPTION
[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] See also Figure 1 As shown, the embodiment of the present invention discloses a method for tracking the quality of aquatic product breeding process, comprising the following steps:
[0043] Sampling calculation is performed according to the number of target aquatic products in the aquatic product breeding area, and a corresponding number of target aquatic products are selected according to the calculation results to add data recording tags, wherein the data recording tags can be RFID tags, which have a long data reading distance and can be tracked and managed in real time;
[0044] Collect aquatic product breeding parameters in aquatic product breeding areas, identify and process the aquatic product breeding parameters, obtain corresponding data processing results, adjust the aquatic product breeding parameters according to the data processing results, and upload the aquatic product breeding parameter adjustment results to the blockchain cloud platform and data recording tags;
[0045] Continue to complete the aquaculture of aquatic products according to the adjustment results of aquaculture parameters, calculate the quality reference score of aquatic products and upload it to the blockchain cloud platform and data recording label;
[0046] The data uploaded to the blockchain cloud platform is classified, and the data record tags are bound to the blockchain cloud platform to complete quality tracking.
[0047] In a specific embodiment, the specific process of adjusting the aquaculture parameters according to the data processing results includes:
[0048] Collecting aquatic product breeding parameters, where the aquatic product breeding parameters include: aquatic product breeding data, water quality data, environmental data and image data of aquatic product breeding areas, and processing the image data to obtain corresponding aquatic product motion data;
[0049] Construct a recognition model, input aquatic product breeding data, water quality data, environmental data, image data, and motion data into the recognition model for processing, and obtain corresponding data processing results, wherein the recognition model can be a convolutional neural network;
[0050] Determine the adjustment direction of the target aquatic products based on the data processing results;
[0051] Determine whether it is necessary to adjust the aquaculture parameters based on the adjustment direction.
[0052] Specifically, aquatic product breeding data may include total output, mortality rate, growth rate, feed feeding data, and breeding operation data; water quality data may include dissolved oxygen, pH value, ammonia nitrogen, nitrite and other data; environmental data may include water temperature data, light intensity data, meteorological data and other data; aquatic product movement data may include the movement of aquatic products jumping out of the water, etc.
[0053] Through the above-mentioned various types of data related to the aquatic product breeding process, it is possible to record data at all stages of the entire life cycle of aquatic products, and while processing through artificial intelligence methods, the aquatic product breeding process can be adjusted in time to improve the breeding quality.
[0054] In a specific embodiment, the specific process of determining whether the aquaculture parameters need to be adjusted according to the adjustment direction includes:
[0055] When the data processing results show that no adjustment is needed, continue aquaculture;
[0056] When the data processing result shows that the water quality data of the target aquatic product is lower than the preset water quality threshold, a water quality data adjustment method is obtained through the network and the adjustment is completed;
[0057] When the data processing results show that the health indicator parameters of the target aquatic products are lower than the preset health threshold, the health intervention methods are obtained through the network and adjustments are completed.
[0058] In a specific embodiment, the specific process of classifying the data uploaded to the blockchain cloud platform and binding the data record tag to the blockchain cloud platform includes:
[0059] Preprocess aquaculture data, water quality data, environmental data, image data, and motion data;
[0060] The aquaculture data and motion data are sorted according to the preset classification rules to form an aquaculture data set, and the water quality data, image data, and environmental data are sorted to form an environmental parameter set;
[0061] Bind aquaculture data sets, environmental parameter sets and data recording tags.
[0062] In a specific embodiment, the specific process of calculating the quality reference score of aquatic products includes:
[0063] Calculate the comprehensive scores of aquatic product breeding data and action data to obtain the corresponding breeding process scores;
[0064] Conduct physical and chemical test analysis on the target aquatic product, and obtain corresponding external and internal characteristic scores according to the test results, wherein the external and internal characteristic scores may include the smell score, color score, and protein content score of the aquatic product;
[0065] Obtain the transportation mode of the target aquatic product, and determine the corresponding logistics transportation score according to the transportation mode, where the transportation mode score may include: transportation mode score, internal temperature and humidity score of the transportation equipment, and transportation time;
[0066] The aquaculture process score, external and internal characteristic scores, and logistics and transportation scores of aquatic products are weighted and integrated to obtain the final quality reference score.
[0067] Specifically, the specific expression of the quality reference score is:
[0068] F1=k(a1f1+a2f2+a3f3)
[0069] Where k represents the preset quality score correction coefficient, a1, a2, a3 represent the weights of the preset aquatic product breeding process score, external and internal characteristics scores, and logistics and transportation scores, respectively, and f1, f2, f3 represent the breeding process score, external and internal characteristics scores, and logistics and transportation scores, respectively.
[0070] The specific expression of the breeding process score is:
[0071] f1=(b1y1+b2y2) / 2
[0072] Wherein, b1 and b2 represent the preset weights of aquatic product breeding data and action data, respectively; y1 and y2 represent the scores of aquatic product breeding data and action data, respectively, which can be determined by preset scoring criteria.
[0073] The specific expressions of external feature and internal feature scores are:
[0074] f2=(c1n1+c2n2+c3n3) / 3
[0075] Wherein, n1, n2, n3 represent the weights of the preset aquatic product odor score, color score and protein content score, respectively, and c1, c2, c3 represent the aquatic product odor score, color score and protein content score, respectively, which can be determined by the preset scoring criteria.
[0076] The specific expression of logistics and transportation score is:
[0077] f3=(d1s1+d2s2+d3s3) / 3
[0078] Wherein, d1, d2, and d3 represent the weights of the preset transport mode score, the temperature and humidity score inside the transport equipment, and the transport time score, respectively; s1, s2, and s3 represent the transport mode score, the temperature and humidity score inside the transport equipment, and the transport time score, respectively, which can be determined by the preset scoring criteria.
[0079] In the process of calculating the quality reference score, the embodiment of the present invention can avoid false positives caused by random fluctuations to a certain extent and improve the calculation accuracy by considering the weights of multiple parameters and the correction coefficient.
[0080] In a specific embodiment, it also includes:
[0081] Obtain the user's aquatic product quality tracking request and aquatic product quality requirements, and determine whether traceability processing is required based on the comparison results of the aquatic product quality requirements and the quality reference score.
[0082] Specifically, the user's aquatic product quality requirements are first analyzed to obtain the corresponding aquatic product quality score requirements and the type of target aquatic products.
[0083] When the quality reference score is greater than or equal to the quality score requirement for aquatic products, no traceability processing is required. When the quality reference score is less than the quality score requirement for aquatic products, traceability processing is required. At this time, determine whether the quality reference score corresponding to the data recording label of the target aquatic product is consistent with the quality reference score of the blockchain cloud platform based on the type of the target aquatic product.
[0084] If there is any inconsistency, the quality reference score of the blockchain cloud platform will be used as the main reference score and an alarm will be issued; if there is a consistent result, the calculation process of the quality reference score of the corresponding target aquatic product in the blockchain cloud platform will be retrieved to determine which process has a relatively lower score, and the breeding process and transportation process of the target aquatic product will be adjusted according to the option with the lower score.
[0085] See also Figure 2 As shown, an embodiment of the present invention further provides a system for tracking the quality of aquatic product breeding process using any one of the above embodiments, including:
[0086] A setting module is used to perform sampling calculation according to the number of target aquatic products in the aquatic product breeding area, and select a corresponding number of aquatic products according to the calculation results to add data recording labels;
[0087] The identification module is used to collect aquatic product breeding parameters in the aquatic product breeding area, identify and process the aquatic product breeding parameters, obtain corresponding data processing results, adjust the aquatic product breeding parameters according to the data processing results, and upload the aquatic product breeding parameter adjustment results to the blockchain cloud platform and data recording tags;
[0088] The calculation module is used to continue the cultivation of aquatic products according to the adjustment results of aquatic product cultivation parameters, calculate the quality reference score of aquatic products and upload it to the blockchain cloud platform and data recording label;
[0089] The binding module is used to classify the data uploaded to the blockchain cloud platform and bind the data record tags to the blockchain cloud platform to complete quality tracking.
[0090] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0091] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for tracking the quality of aquatic product breeding process, characterized in that: The following steps are involved: Sampling calculations are performed based on the number of target aquatic products in the aquatic product breeding area, and a corresponding number of aquatic products are selected based on the calculation results to add data recording labels; Collect aquatic product breeding parameters in the aquatic product breeding area, identify and process the aquatic product breeding parameters, obtain corresponding data processing results, adjust the aquatic product breeding parameters according to the data processing results, and upload the aquatic product breeding parameter adjustment results to the blockchain cloud platform and the data recording label; Continue to complete the aquatic product breeding according to the adjustment result of the aquatic product breeding parameter, calculate the quality reference score of the aquatic product and upload it to the blockchain cloud platform and the data recording label; The data uploaded to the blockchain cloud platform is classified, and the data record label is bound to the blockchain cloud platform to complete quality tracking.
2. A method for tracking the quality of aquatic product breeding process according to claim 1, characterized in that: Also includes: The user's aquatic product quality tracking request and aquatic product quality requirements are obtained, and whether traceability processing is required is determined based on the comparison result of the aquatic product quality requirements with the quality reference score.
3. The method for tracking the quality of aquatic product breeding process according to claim 1, characterized in that: The specific process of adjusting the aquaculture parameters according to the data processing results includes: Collecting aquatic product breeding parameters, wherein the aquatic product breeding parameters include: aquatic product breeding data, water quality data, environmental data and image data of aquatic product breeding areas, and processing the image data to obtain corresponding aquatic product action data; Constructing a recognition model, inputting the aquatic product breeding data, water quality data, environmental data, image data, and motion data into the recognition model for processing, and obtaining corresponding data processing results; Determining the adjustment direction of the target aquatic product according to the data processing result; Whether the aquatic product breeding parameters need to be adjusted is determined according to the adjustment direction.
4. A method for tracking the quality of aquatic product breeding process according to claim 3, characterized in that: The specific process of judging whether the aquatic product breeding parameters need to be adjusted according to the adjustment direction includes: When the data processing results show that no adjustment is required, continuing aquaculture; When the data processing result shows that the water quality data of the target aquatic product is lower than the preset water quality threshold, a water quality data adjustment method is obtained through the network and the adjustment is completed; When the data processing result shows that the health index parameter of the target aquatic product is lower than the preset health threshold, the health intervention method is obtained through the network and the adjustment is completed.
5. The method for tracking the quality of aquatic product breeding process according to claim 3, characterized in that: The specific process of classifying the data uploaded to the blockchain cloud platform and binding the data record label to the blockchain cloud platform includes: Preprocessing the aquatic product breeding data, water quality data, environmental data, image data, and motion data; The aquatic product breeding data and the motion data are sorted according to preset classification rules to form an aquatic product breeding data set, and the water quality data, the image data, and the environmental data are sorted to form an environmental parameter set; The aquaculture data set, the environmental parameter set and the data recording tag are bound together.
6. A method for tracking the quality of aquatic product breeding process according to claim 5, characterized in that: The specific process for calculating the quality reference score of aquatic products includes: Calculate the comprehensive scores of aquatic product breeding data and action data to obtain the corresponding breeding process scores; Conduct physical and chemical test analysis on the target aquatic products, and obtain corresponding external and internal characteristic scores based on the test results; Obtain the transportation method of the target aquatic product, and determine the corresponding logistics and transportation score according to the transportation method; The aquaculture process score, external and internal characteristic scores, and logistics and transportation scores of aquatic products are weighted and integrated to obtain the final quality reference score.
7. A system using a method for tracking the quality of aquatic product breeding process according to any one of claims 1 to 6, based on a blockchain cloud platform and data recording tags, characterized in that: include: A setting module is used to perform sampling calculation according to the number of target aquatic products in the aquatic product breeding area, and select a corresponding number of aquatic products according to the calculation results to add data recording labels; An identification module, used to collect aquatic product breeding parameters in an aquatic product breeding area, identify and process the aquatic product breeding parameters, obtain corresponding data processing results, adjust the aquatic product breeding parameters according to the data processing results, and upload the aquatic product breeding parameter adjustment results to the blockchain cloud platform and the data recording tag; A calculation module, used to continue to complete the cultivation of aquatic products according to the adjustment result of the aquatic product cultivation parameters, calculate the quality reference score of the aquatic products and upload it to the blockchain cloud platform and the data recording label; The binding module is used to classify the data uploaded to the blockchain cloud platform and bind the data record label with the blockchain cloud platform to complete quality tracking.
Citation Information
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