Multifunctional grain quality intelligent analysis system and method
By designing a multifunctional intelligent analysis system for food quality, using technical means such as image shooting, feature detection, random sampling and component analysis, the problem of inaccurate food quality analysis in the existing technology has been solved, and efficient and accurate assessment of food quality has been achieved. .
Patent Information
- Application Number
- CN202411286502.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-13
- Publication Date
- 2025-02-14
AI Technical Summary
The prior art is difficult to effectively analyze and evaluate the quality of different grains, especially in a diversified and changing food environment, where efficient detection and analysis methods are lacking.
A multifunctional intelligent analysis system for food quality in grain was designed, including interactive modules, grain comparison modules, grain sampling modules, grain detection modules and quality analysis modules. The system achieves accurate assessment of the quality of food through image shooting, feature detection, random sampling, component analysis and economic benefit analysis.
It realizes accurate detection and analysis of the quality of grain, which can quickly and accurately judge the ingredients, harmful substances and economic benefits of grain, and improves the accuracy and efficiency of food quality assessment.
Smart Images
Figure CN119438199A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of grain quality analysis, and more specifically, to a multifunctional grain quality intelligent analysis system and method. Background Art
[0002] Grain refers to the general term for various plant seeds used in cooking food, and can also be generally referred to as "cereals". Grain crops are rich in nutrients, mainly protein, vitamins, dietary fiber, fat, starch, etc. In ancient times, food was called "grain" when walking on the road and "food" when staying at home. Later, it also generally refers to raw and finished grains such as cereals, beans and potatoes for consumption. The concept of grain of the Food and Agriculture Organization of the United Nations refers to grains, including wheat, beans, coarse grains and rice.
[0003] Grain is a food that everyone must consume every day. It is also the main food and source of human nutrients. It is of great significance. There are many types of grains. The quality of grains grown in different longitudes and latitudes, terrain environments, and climatic environments is different. The quality of grains of different qualities is also different. It is necessary to analyze the quality of grains, so a multifunctional grain quality intelligent analysis system and method are proposed. Summary of the invention
[0004] In order to overcome the deficiencies of the prior art, the present invention provides a multifunctional grain quality intelligent analysis system and method, which has the advantage of more precise operation.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a multifunctional grain quality intelligent analysis system, comprising: an interactive module, a grain comparison module, a grain sampling module, a grain detection module, and a quality analysis module; the interactive module is connected to the grain comparison module, the grain sampling module, the grain detection module, and the quality analysis module, the grain sampling module is connected to the grain detection module, and the grain detection module is connected to the quality analysis module;
[0006] The grain comparison module includes an image shooting device, a feature detection unit, and a grain feature database. The image shooting device shoots and records grain images, the feature detection unit detects and records the features of grains during the shooting process, and the grain feature database stores the features of mature, high-quality, and diseased grains.
[0007] The grain sampling module includes a sampling device, a storage device, and a processing device; the sampling device randomly samples grains, the storage device stores the sampled grains, and the processing device processes the grains in the storage device to facilitate subsequent testing;
[0008] The food detection module includes a component analysis device, a harmful substance detection device, and a gene detection device; the component analysis device analyzes the components inside the food, the harmful substance detection device detects the content of harmful substances in the food, and the gene detection device detects the genes of the food;
[0009] The quality analysis module includes a grain composition database and a grain economic benefit unit. The grain composition database facilitates the comparison of the composition of the current type of grain crops and facilitates the distinction of the current crop quality. The grain economic benefit unit analyzes the economic benefits brought by the current type of grain planting.
[0010] As a preferred technical solution of the present invention, the feature detection unit includes detecting the current grain fullness, grain color, grain density, and grain pest characteristics, so as to judge the quality of the current grain by comparing the characteristics of the current type of grain in the grain feature database.
[0011] As a preferred technical solution of the present invention, the processing device includes a grain grinding device and a grain softening device. The grain grinding device grinds grains with a hard structure and grinds and mixes them into a powder structure to facilitate subsequent detection of their components. The grain softening device softens grains containing water by steaming, boiling, and mashing to facilitate subsequent detection of their internal components.
[0012] As a preferred technical solution of the present invention, the component analysis device includes a protein detector, a vitamin detector, and a trace element detection device. The protein detector detects the type and content of protein inside the grain, the vitamin detector detects the type and content of vitamins contained in the grain, and the trace element detection device detects the trace elements and their content inside the grain.
[0013] As a preferred technical solution of the present invention, the harmful substance detection includes a pesticide residue detector, a veterinary drug residue detector, and an antibiotic detector; the pesticide residue detector detects the types and contents of pesticides present in grains to facilitate subsequent judgment of whether they cause harm to the human body, the veterinary drug residue detector detects the types and contents of veterinary drug residues present in grains, and the antibiotic detector detects the antibiotics contained in pesticides.
[0014] As a preferred technical solution of the present invention, the grain detection module receives the grain processed by the processing device, and the processed grain is convenient for the detection device to detect.
[0015] As a preferred technical solution of the present invention, the grain detection module transmits the detection result to the quality analysis module, and the quality analysis module analyzes the grain quality according to the detection result.
[0016] As a preferred technical solution of the present invention, the grain comparison module transmits the feature comparison result to the quality analysis module, and the quality analysis module analyzes the grain according to the feature comparison result.
[0017] As a preferred technical solution of the present invention, the grain economic benefit unit includes analyzing grain yield per mu, grain price, grain price trend, and planting cycle, and analyzing the current grain economic benefit of planting.
[0018] The multifunctional grain quality intelligent analysis method comprises the following steps:
[0019] S1. Photographing food crops through an image capturing device. The feature detection unit in the image capturing device detects the features of the food crops and compares them with the food feature database. The comparison information is transmitted to the quality analysis module through the interaction module.
[0020] S2. randomly sampling grains through a sampling device, storing the sampling device inside a storage device, and processing the grains through a processing device inside the storage device;
[0021] S3, testing the grains through component analysis devices, harmful substance detection devices, and gene detection devices, and transmitting the test results to the quality analysis module;
[0022] S4. The quality analysis module analyzes the current grain quality and the economic benefits brought by the grain.
[0023] Compared with the prior art, the present invention has the following beneficial effects:
[0024] The grain crops are photographed by an image shooting device, and the feature detection unit inside the image shooting device detects the features of the grain and compares them with the grain feature database. The comparison information is transmitted to the quality analysis module through the interactive module. The grain is randomly sampled by the sampling device, and the sampling device is stored in the storage device. The grain is processed by the processing device inside the storage device. The grain is detected by the component analysis device, the harmful substance detection device, and the gene detection device, and the detection results are transmitted to the quality analysis module. The quality analysis module analyzes the current grain quality and analyzes the economic benefits brought by the grain. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 This is a structural diagram of the multifunctional grain quality intelligent analysis system of the present invention;
[0026] Figure 2 This is a flow chart of the multifunctional grain quality intelligent analysis method of the present invention;
[0027] In the figure: 1. Interaction module; 2. Grain comparison module; 3. Grain sampling module; 4. Grain detection module; 5. Quality analysis module. DETAILED DESCRIPTION
[0028] 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.
[0029] like Figure 1 to Figure 2 As shown, the present invention provides a multifunctional grain quality intelligent analysis system, comprising: an interaction module 1, a grain comparison module 2, a grain sampling module 3, a grain detection module 4, and a quality analysis module 5; the interaction module 1 is connected to the grain comparison module 2, the grain sampling module 3, the grain detection module 4, and the quality analysis module 5, the grain sampling module 3 is connected to the grain detection module 4, and the grain detection module 4 is connected to the quality analysis module 5;
[0030] The grain comparison module 2 includes an image shooting device, a feature detection unit, and a grain feature database. The image shooting device shoots and records grain images, the feature detection unit detects and records the features of grains during the shooting process, and the grain feature database stores the features of mature, high-quality, and diseased grains.
[0031] The grain sampling module 3 includes a sampling device, a storage device, and a processing device; the sampling device randomly samples grains, the storage device stores the sampled grains, and the processing device processes the grains inside the storage device to facilitate subsequent testing;
[0032] The food detection module 4 includes a component analysis device, a harmful substance detection device, and a gene detection device; the component analysis device analyzes the components inside the food, the harmful substance detection device detects the content of harmful substances in the food, and the gene detection device detects the genes of the food;
[0033] The quality analysis module 5 includes a food composition database and a food economic benefit unit. The food composition database facilitates the comparison of the composition of the current type of food crops and facilitates the distinction of the current crop quality. The food economic benefit unit analyzes the economic benefits brought by the current type of food planting.
[0034] Among them, the feature detection unit includes detecting the current grain fullness, grain color, grain density, and grain pest characteristics, so as to judge the quality of the current grain by comparing the characteristics of the current type of grain in the grain feature database.
[0035] Among them, the processing device includes a grain grinding device and a grain softening device. The grain grinding device grinds grains with a hard structure and grinds and mixes them into a powder structure to facilitate subsequent detection of their components. The grain softening device softens grains containing water by steaming, boiling, and mashing to facilitate subsequent detection of their internal components.
[0036] Among them, the component analysis device includes a protein detector, a vitamin detector, and a trace element detection device. The protein detector detects the type and content of protein inside the grain, the vitamin detector detects the type and content of vitamins contained in the grain, and the trace element detection equipment detects the trace elements and their content inside the grain.
[0037] Among them, the harmful substance detection includes pesticide residue detector, veterinary drug residue detector, and antibiotic detector; the pesticide residue detector detects the types and contents of pesticides in grains to facilitate subsequent judgment of whether they are harmful to the human body; the veterinary drug residue detector detects the types and contents of veterinary drug residues in grains; and the antibiotic detector detects the antibiotics contained in pesticides.
[0038] The grain detection module 4 receives grain processed by the processing device, and the processed grain is convenient for detection by the detection device.
[0039] The grain detection module 4 transmits the detection result to the quality analysis module 5, and the quality analysis module 5 analyzes the grain quality according to the detection result.
[0040] The grain comparison module 2 transmits the feature comparison result to the quality analysis module 5, and the quality analysis module 5 analyzes the grain according to the feature comparison result.
[0041] Among them, the grain economic benefit unit includes analysis of grain yield per mu, grain price, grain price trend, and planting cycle, and analyzes the current grain economic benefits of planting.
[0042] The present invention provides a multifunctional grain quality intelligent analysis method, comprising the following steps:
[0043] S1, photographing grain crops through an image shooting device, the feature detection unit inside the image shooting device detects the features of the grain and compares them with the grain feature database, and transmits the comparison information to the quality analysis module 5 through the interaction module 1;
[0044] S2. randomly sampling grains through a sampling device, storing the sampling device inside a storage device, and processing the grains through a processing device inside the storage device;
[0045] S3, testing the grains through the component analysis device, the harmful substance detection device, and the gene detection device, and transmitting the test results to the quality analysis module 5;
[0046] S4, the quality analysis module 5 analyzes the current grain quality and the economic benefits brought by the grain.
[0047] The working principle and use process of the present invention are as follows: grain crops are photographed by an image shooting device, a feature detection unit inside the image shooting device detects the features of the grain and compares them with a grain feature database, the comparison information is transmitted to a quality analysis module through an interactive module, the grain is randomly sampled by a sampling device, the sampling device is stored inside a storage device, the grain is processed by a processing device inside the storage device, the grain is detected by a component analysis device, a harmful substance detection device, and a gene detection device, and the detection results are transmitted to the quality analysis module, the quality analysis module analyzes the current grain quality and analyzes the economic benefits brought by the grain.
[0048] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0049] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. Multifunctional grain quality intelligent analysis system, characterized by: The invention comprises: an interaction module (1), a grain comparison module (2), a grain sampling module (3), a grain detection module (4), and a quality analysis module (5); the interaction module (1) is connected to the grain comparison module (2), the grain sampling module (3), the grain detection module (4), and the quality analysis module (5); the grain sampling module (3) is connected to the grain detection module (4); and the grain detection module (4) is connected to the quality analysis module (5); The grain comparison module (2) comprises an image shooting device, a feature detection unit, and a grain feature database, wherein the image shooting device shoots and records grain images, the feature detection unit detects and records the features of grains during the shooting process, and the grain feature database stores the features of mature, high-quality, and diseased grains; The grain sampling module (3) comprises a sampling device, a storage device, and a processing device; the sampling device randomly samples grains, the storage device stores the sampled grains, and the processing device processes the grains in the storage device to facilitate subsequent testing; The food detection module (4) comprises a component analysis device, a harmful substance detection device, and a gene detection device; the component analysis device analyzes the components inside the food, the harmful substance detection device detects the content of harmful substances in the food, and the gene detection device detects the genes of the food; The quality analysis module (5) includes a food composition database and a food economic benefit unit. The food composition database facilitates the comparison of the composition of the current type of food crops and facilitates the differentiation of the quality of the current crops. The food economic benefit unit analyzes the economic benefits brought by the cultivation of the current type of food.
2. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The feature detection unit includes detecting the current grain fullness, grain color, grain density, and grain pest characteristics, so as to judge the quality of the current grain by comparing the characteristics of the current type of grain in the grain feature database.
3. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The processing device includes a grain grinding device and a grain softening device. The grain grinding device grinds grains with a hard structure and mixes the grains into a powder structure to facilitate subsequent detection of their components. The grain softening device softens grains containing water by steaming, boiling, and mashing to facilitate subsequent detection of their internal components.
4. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The component analysis device includes a protein detector, a vitamin detector, and a trace element detection device. The protein detector detects the type and content of protein in the grain, the vitamin detector detects the type and content of vitamins in the grain, and the trace element detection device detects the trace elements and their content in the grain.
5. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The harmful substance detection includes a pesticide residue detector, a veterinary drug residue detector, and an antibiotic detector; the pesticide residue detector detects the types and contents of pesticides present in grains to facilitate subsequent judgment of whether they cause harm to the human body; the veterinary drug residue detector detects the types and contents of veterinary drug residues present in grains; and the antibiotic detector detects the antibiotics contained in pesticides.
6. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The grain detection module (4) receives grain processed by the processing device, and the processed grain is convenient for detection by the detection device.
7. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The grain detection module (4) transmits the detection result to the interior of the quality analysis module (5), and the quality analysis module (5) analyzes the grain quality according to the detection result.
8. The multifunctional grain quality intelligent analysis system according to claim 1 is characterized in that: The grain comparison module (2) transmits the feature comparison result to the quality analysis module (5), and the quality analysis module (5) analyzes the grain according to the feature comparison result.
9. The multifunctional grain quality intelligent analysis system according to claim 1, characterized in that: The grain economic benefit unit includes analysis of grain yield per mu, grain price, grain price trend, and planting cycle, and analyzes the current grain economic benefits of planting.
10. A multifunctional intelligent grain quality analysis method, characterized in that: The following steps are involved: S1. Photographing food crops with an image capturing device, wherein a feature detection unit in the image capturing device detects features of the food crops and compares the features with a food feature database, and transmits the comparison information to a quality analysis module (5) through an interaction module (1); S2. randomly sampling grains through a sampling device, storing the sampling device inside a storage device, and processing the grains through a processing device inside the storage device; S3, testing the grains through a component analysis device, a harmful substance detection device, and a gene detection device, and transmitting the test results to a quality analysis module (5); S4. The quality analysis module (5) analyzes the current grain quality and the economic benefits brought by the grain.