Intelligent fresh-keeping process and fresh-keeping device for agricultural products

Abstract

The present invention discloses an intelligent fresh-keeping process and a fresh-keeping device for agricultural products, which relate to the field of agricultural product preservation. The technical solution includes: a fresh-keeping cabinet; a plurality of fresh-keeping storage chambers of different sizes, which are arranged on the fresh-keeping cabinet and used to place agricultural products; and a fresh-keeping treatment module, which is used to perform fresh-keeping treatment on the agricultural products stored in the fresh-keeping chambers. An intelligent fresh-keeping process and a fresh-keeping device for agricultural products, by arranging a plurality of fresh-keeping storage chambers of different sizes on the fresh-keeping cabinet, and separately equipping each fresh-keeping storage chamber with a fresh-keeping refrigeration unit, different types of agricultural products can be placed in independent fresh-keeping storage chambers respectively, and the fresh-keeping refrigeration unit is used to adjust the internal environmental parameters of the fresh-keeping storage chamber to a matching state with the agricultural products, so as to realize the function of fresh-keeping storage of different types of agricultural products in the same fresh-keeping cabinet, which is beneficial to improving the fresh-keeping effect of agricultural products and reducing damage to agricultural products.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural product preservation, and more specifically, to an intelligent preservation process and a preservation device for agricultural products. Background Art

[0002] With the popularization of e-commerce and the advancement of the logistics industry, the problems of transportation and sales of agricultural products have been well solved. During the sales and transportation of agricultural products, it is particularly important to preserve fresh agricultural products. At present, low-temperature preservation is generally used for common fruits, vegetables and other agricultural products, which can extend the shelf life of agricultural products to a certain extent.

[0003] In the related art, some agricultural product transfer stations often use fresh-keeping refrigerated cabinets to store agricultural products for a short period of time. Since different types of agricultural products have different preservation requirements, when the same fresh-keeping refrigerated cabinet is used for fresh-keeping storage, some agricultural products are easily damaged, and therefore, the best preservation effect cannot be achieved. Summary of the invention

[0004] In view of the deficiencies in the prior art, the object of the present invention is to provide an intelligent preservation process and a preservation device for agricultural products.

[0005] To achieve the above object, the present invention provides the following technical solutions, including:

[0006] Fresh-keeping cabinet;

[0007] A plurality of fresh-keeping storage chambers of different sizes, which are arranged on the fresh-keeping cabinet body and are used to store agricultural products;

[0008] A fresh-keeping processing module, which is used to perform fresh-keeping processing on the agricultural products stored in the fresh-keeping chamber;

[0009] An image acquisition module, which is used to acquire a physical image of the agricultural product to be preserved;

[0010] An information input module, which is used to obtain information about agricultural products manually input by staff;

[0011] A weighing module, which is used to obtain the mass of the agricultural products to be kept fresh;

[0012] A main control module, which is used to receive the data information uploaded by the image acquisition module, the information input module and the weighing module, and automatically matches the preservation parameters suitable for the current agricultural products by identifying and analyzing the acquired agricultural product image data or the basic information about the agricultural products manually input by the staff;

[0013] By further extracting the feature of agricultural product image data, the current color degree value and the actual state performance value of the agricultural product are obtained respectively, and are marked as Ys and Bj, and the formula is used to calculate the state evaluation value of the current agricultural product. Among them, a1, a2, and a3 are preset proportionality coefficients, all greater than zero, and T is the time when the current agricultural product leaves the planting area; compare the obtained state evaluation value of the current agricultural product with the preset state evaluation value Z0. If Zc≥Z0, it is considered that the current state of the agricultural product is in the standard state, and the fresh-keeping treatment can be carried out according to the automatically matched fresh-keeping parameters. If Zc<Z0, it is considered that the current state of the agricultural product is not in the standard state, and the fresh-keeping parameters need to be adaptively corrected, that is, increase or decrease Zn on the basis of the original fresh-keeping parameters respectively.

[0014] Preferably, the fresh-keeping parameters specifically include temperature, humidity, oxygen content, and carbon dioxide content, and are obtained by retrieving and searching in the large database when matching the fresh-keeping parameters.

[0015] Preferably, a degree value is correspondingly set for each color that each agricultural product can present. When obtaining the current color degree value of the agricultural product, by extracting the color feature in the current agricultural product image, comparing the color feature with the preset color feature stored in the database, determining the preset color feature closest to the extracted color feature, and then marking the preset degree value corresponding to the preset color feature as the current color degree value of the agricultural product.

[0016] Preferably, when obtaining the actual state performance value of the current agricultural product, by extracting the shape size feature and appearance feature of the current agricultural product image, which are marked as QRC and Dnc respectively, and using the formula to calculate the actual state performance value of the current agricultural product. Among them, b1 and b2 are preset influence factor coefficients.

[0017] Preferably, the fresh-keeping treatment module includes a plurality of fresh-keeping refrigeration units, the fresh-keeping refrigeration units are correspondingly arranged in the fresh-keeping storage room, and the fresh-keeping refrigeration unit includes a temperature regulating device, a humidity regulating device, a ventilation device, and a gas regulating device.

[0018] Preferably, the image acquisition module is set as a camera, the weighing module is set as an electronic scale, the camera is located above the electronic scale, and when using the electronic scale to weigh the quality of the agricultural product, the camera can be used to take pictures of the agricultural product at the same time.

[0019] Preferably, the information input module is set as an electronic display screen, and the staff can input the name, origin, quality, fresh-keeping days, and time information when leaving the planting area of the agricultural product on the electronic display screen.

[0020] An intelligent fresh-keeping process for agricultural products, comprising the following operating steps:

[0021] S1. Concentrate the agricultural products to be fresh-kept in a standard storage container, weigh the agricultural products using the weighing module, and simultaneously take a physical photo of the product through the image acquisition module;

[0022] S2. Input the basic information of the known agricultural products through the information input module, including the name, origin, quality, fresh-keeping days, and time information when leaving the planting area of the agricultural products;

[0023] S3. Through the main control module, according to the obtained data information about the agricultural products, by analyzing and processing the data information, automatically match the fresh-keeping parameters and the suitable idle fresh-keeping storage room, and place the agricultural products in the fresh-keeping storage room;

[0024] S4. By further extracting the image data characteristics of the agricultural products, respectively obtain the current color degree value Ys and the actual state performance value Bj of the agricultural products, and use the formula Calculate the current state evaluation value of the agricultural products;

[0025] S5. Compare the obtained current state evaluation value Zc of the agricultural products with the preset state evaluation value Z0. If Zc≥Z0, it is considered that the current state of the agricultural products is in the standard state, and fresh-keeping treatment can be carried out according to the automatically matched fresh-keeping parameters. If Zc<Z0, it is considered that the current state of the agricultural products is not in the standard state, and the fresh-keeping parameters need to be adaptively corrected, that is, increase or decrease Zn on the basis of the original fresh-keeping parameters.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] (1) By setting a plurality of fresh-keeping storage rooms with different sizes on the fresh-keeping cabinet body, and separately equipping each fresh-keeping storage room with a fresh-keeping refrigeration unit, different types of agricultural products can be placed in separate fresh-keeping storage rooms respectively. The internal environmental parameters of the fresh-keeping storage room are adjusted to a state matching the agricultural products through the fresh-keeping refrigeration unit, realizing the function of separately storing different types of agricultural products in the same fresh-keeping cabinet body, which is beneficial to improving the fresh-keeping effect of agricultural products and reducing the damage of agricultural products;

[0028] (2) By further setting up an image processing module, an information input module, a weighing module and a main control module, the physical image data of the agricultural products and the known data input manually can be obtained. By analyzing, processing and calculating these data, the preservation parameters of the agricultural products can be obtained, and then the environmental parameters inside the preservation storage room can be automatically adjusted to adapt to the state of the agricultural products. In addition, by further analyzing and calculating the physical state of the agricultural products, the current state of the agricultural products can be judged. If the agricultural products are not in a standard state, the preservation parameters need to be corrected to compensate for the non-standard state of the agricultural products, so as to achieve the best preservation effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of the structure of an intelligent fresh-keeping device for agricultural products provided by the present invention;

[0030] Figure 2 A system block diagram of an intelligent fresh-keeping device for agricultural products provided by the present invention;

[0031] Figure 3 The present invention provides a flow chart of an intelligent fresh-keeping process for agricultural products.

[0032] 1. Fresh-keeping cabinet; 2. Fresh-keeping storage room; 3. Image acquisition module; 4. Information input module; 5. Weighing module. DETAILED DESCRIPTION

[0033] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0034] Reference Figure 1 to Figure 2 The present invention further describes an intelligent fresh-keeping process for agricultural products and an embodiment of the fresh-keeping device thereof.

[0035] An intelligent fresh-keeping device for agricultural products comprises: a fresh-keeping cabinet 1, twenty fresh-keeping storage chambers 2 of different sizes, a fresh-keeping processing module, an image acquisition module 3, an information input module 4, a weighing module 5 and a main control module, wherein the main control module is connected to the above-mentioned functional modules through wireless or wired signals.

[0036] Twenty fresh-keeping storage rooms 2 of different sizes are arranged on the fresh-keeping cabinet body 1 for placing agricultural products. The number of fresh-keeping storage rooms 2 is not limited to the above-mentioned twenty, and can actually be set according to the volume of the safe. By setting fresh-keeping storage rooms 2 of different sizes, the fresh-keeping storage needs of agricultural products of different types and volumes can be met.

[0037] A fresh-keeping processing module is used to perform fresh-keeping processing on agricultural products stored in the fresh-keeping room; the fresh-keeping processing module includes twenty fresh-keeping refrigeration units, which are correspondingly arranged in the fresh-keeping storage room 2. The fresh-keeping refrigeration unit includes a temperature regulating device, a humidity regulating device, a ventilation device, and a gas regulating device. The temperature and humidity in the fresh-keeping storage room 2 are respectively adjusted by the temperature regulating device and the humidity regulating device. The ventilation device can ensure the normal circulation of air in the fresh-keeping storage room 2. The gas regulating devices are respectively an oxygen filler and a carbon dioxide filler, which are used to adjust the air components and contents in the fresh-keeping refrigeration unit. Among them, the temperature regulating device, the humidity regulating device, the ventilation device, and the gas regulating device all belong to the prior art, and their internal structures and working principles are not described in detail here.

[0038] The present invention provides a plurality of fresh-keeping storage chambers 2 of different sizes on a fresh-keeping cabinet body 1, and separately equips each fresh-keeping storage chamber 2 with a fresh-keeping refrigeration unit. Different types of agricultural products can be placed in independent fresh-keeping storage chambers 2 respectively, and the internal environmental parameters of the fresh-keeping storage chambers 2 are adjusted to match the agricultural products through the fresh-keeping refrigeration unit, thereby realizing the function of separately storing different types of agricultural products in the same fresh-keeping cabinet body 1, which is beneficial to improving the fresh-keeping effect of agricultural products and reducing damage to agricultural products.

[0039] The image acquisition module 3 is used to acquire the physical image of the agricultural products to be preserved; the image acquisition module 3 is configured as a photo camera. When taking photos of the physical agricultural products, the photo camera will take no less than ten photos at a time, wherein the number of photos taken can be adjusted according to actual needs. By selecting the clearest photos from multiple photos and uploading them to the main control module, the clarity of the physical image of the agricultural products can be improved.

[0040] The information input module 4 is used to obtain the information about the agricultural products manually input by the staff; the information input module 4 is set as an electronic display screen, and the electronic display screen is set on the outside of the fresh-keeping cabinet 1. The staff can input the name, origin, quality, shelf life, and time of leaving the planting site of the agricultural products on the electronic display screen. By manually inputting the information of the agricultural products and combining it with the information obtained by the main control module, the accuracy of judging the status of the agricultural products and matching the preservation parameters can be improved.

[0041] The weighing module 5 is used to obtain the mass of the agricultural products to be preserved; the weighing module 5 is set as an electronic scale, and the mass of the agricultural products is weighed using the electronic scale. The camera is located above the electronic scale, and the camera can be used to take pictures of the agricultural products at the same time, which is conducive to simplifying the operation steps of the agricultural products and facilitating the operation of the staff.

[0042] A main control module, which is used to receive data information uploaded by the image acquisition module 3, the information input module 4 and the weighing module 5. An image processing unit is provided in the main control module, which is used to process the received agricultural product images, extract relevant features in the images, and automatically match the preservation parameters suitable for the current agricultural products by identifying and analyzing the acquired agricultural product image data or the basic information about the agricultural products manually input by the staff. The preservation parameters specifically include temperature, humidity, oxygen content, and carbon dioxide content. When matching the preservation parameters, they are obtained by searching and searching in a large database, wherein the preservation data of various agricultural products are collected in the big data. When matching the preservation parameters, the corresponding preservation parameters of the agricultural products in the big data can be automatically matched according to the known basic information such as the name, origin, and quality of the agricultural products. In addition, by setting the data update function, the preservation data in the large database can be added and updated;

[0043] By further extracting the features of the agricultural product image data, the color degree value and the actual state performance value of the current agricultural product are obtained respectively, and are marked as Ys and Bj respectively, wherein a degree value is set corresponding to each color that each agricultural product can present. When obtaining the color degree value of the current agricultural product, the color features in the current agricultural product image are extracted, and the color features are compared with the preset color features stored in the database to determine the preset color features closest to the extracted color features, and then the preset degree value corresponding to the preset color features is marked as the color degree value of the current agricultural product; for example, if the agricultural product is green vegetables, the color of the green vegetable leaves is divided into several levels, namely, normal green, relatively green, yellowish, and relatively yellow, and each color level is set to a degree value, namely, normal green 1, relatively green 0.9, yellowish 0.8, and relatively yellow 0.7; using the formula The current state evaluation value of agricultural products is calculated, where a1, a2, and a3 are preset proportional coefficients, all greater than zero, a1 is 1.2, a2 ​​is 0.85, and a3 is 1.5. T is the time the current agricultural products have been away from the planting area, in minutes. When obtaining the actual state performance value of the current agricultural products, the shape and size features and appearance features of the current agricultural product image are extracted, marked as Qm and Dnc respectively, and the formula is used. Calculate the actual status performance value of the current agricultural products, where b1 and b2 are the preset influencing factor coefficients, b1 is 2.3 and b2 is 3.1;

[0044] Compare the obtained state evaluation value of the current agricultural product with the preset state evaluation value Z0, where Z0 is 10%. If Zc≥Z0, it is considered that the current state of the agricultural product is in the standard state, and the preservation treatment can be carried out according to the automatically matched preservation parameters. If Zc<Z0, it is considered that the current state of the agricultural product is not in the standard state, and the preservation parameters need to be adaptively corrected, that is, increase or decrease Zn on the basis of the original preservation parameters.

[0045] By further setting up the image processing module 3, information input module 4, weighing module 5 and main control module, the present invention can obtain the physical image data of agricultural products and the known data manually input. Through the analysis, processing and calculation of these data, the preservation parameters of agricultural products can be obtained, and then the environmental parameters inside the preservation storage room 2 can be automatically adjusted to adapt to the state of agricultural products. In addition, through further analysis and calculation of the physical state of agricultural products, the state of the current agricultural product is judged. If the agricultural product is not in the standard state, the preservation parameters need to be corrected to compensate for the non-standard state of the agricultural product to achieve the best preservation effect.

[0046] Example 2

[0047] Refer to Figure 3 , the present invention also provides an intelligent preservation process for agricultural products. Taking green vegetables as an example, it includes the following operation steps:

[0048] S1. Put the green vegetables into a standard storage container centrally, and use the weighing module to weigh the agricultural products to obtain the mass of the green vegetables as 10 kg. At the same time, take the physical photos of the products through the image acquisition module to obtain ten high-definition physical photos of the green vegetables. Then the image acquisition module uploads the taken photos to the main control module, and the weighing module uploads the weighed mass data to the main control module;

[0049] S2. Input the basic information of the known agricultural products through the information input module, including the name of the agricultural product: green vegetables, origin: Henan, quality 10 kg, preservation days 3 days, time away from the planting place 150 minutes;

[0050] S3. According to the obtained data information about the agricultural products, the main control module analyzes and processes the data information, processes the received image data through the internal image processing unit, extracts the features in the image, and then automatically matches the preservation parameters and the suitable idle preservation storage room from the large database. For example, the preservation temperature is 5°C, the humidity is 90%, the oxygen content is 60%, and the carbon dioxide content is 20%. The control module controls the opening of the cabinet door of the matched preservation storage room, and the staff then puts the green vegetables into the preservation storage room and closes the cabinet door;

[0051] S4. By further analyzing the obtained agricultural product data information, the color degree values ​​of the current agricultural products are obtained. For example, the color of the leaves of green vegetables is yellowish, and its color degree value Ys is 0.8. Calculate the actual state performance value of green vegetables, for example: if Qm is 2.31 and Dnc is 1.85, we get Bj as 2.92, and then use the formula It is calculated that Zc is 6.88%. Since 6.88%<10%, it is considered that the green vegetables are not in a standard state, so the matched preservation parameters need to be corrected. Therefore, the corrected preservation parameters are specifically temperature 5.3°C, humidity 83%, oxygen content 64%, and carbon dioxide content 13%. The preservation processing module is adjusted accordingly according to the corrected preservation parameters.

[0052] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0053] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0054] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. An intelligent fresh-keeping device for agricultural products, characterized in that: include: Fresh-keeping cabinet (1); A plurality of fresh-keeping storage chambers (2) of different sizes, which are arranged on the fresh-keeping cabinet (1) and are used to store agricultural products; A fresh-keeping processing module, which is used to perform fresh-keeping processing on the agricultural products stored in the fresh-keeping chamber; An image acquisition module (3) is used to acquire a physical image of the agricultural product to be preserved; An information input module (4), which is used to obtain information about agricultural products manually input by staff; A weighing module (5) for obtaining the mass of the agricultural products to be preserved; A main control module, which is used to receive data information uploaded by the image acquisition module (3), the information input module (4) and the weighing module (5), and automatically matches preservation parameters suitable for the current agricultural products by identifying and analyzing the acquired agricultural product image data or basic information about the agricultural products manually input by the staff; By further extracting the feature of the agricultural product image data, the current color degree value and the actual state performance value of the agricultural product are obtained respectively, and are marked as Ys and Bj respectively. Using the formula calculate the state evaluation value of the current agricultural product, where a1 and a2 are preset proportionality coefficients, both greater than zero, and T is the duration of the current agricultural product leaving the planting area; compare the obtained state evaluation value of the current agricultural product with the preset state evaluation value Z0. If Zc≥Z0, it is considered that the current state of the agricultural product is in the standard state and can be subjected to preservation treatment according to the automatically matched preservation parameters. If Zc<Z0, it is considered that the current state of the agricultural product is not in the standard state and the preservation parameters need to be adaptively corrected, that is, increase or decrease Zn on the basis of the original preservation parameters respectively.

2. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: The preservation parameters specifically include temperature, humidity, oxygen content, and carbon dioxide content. When matching the preservation parameters, they are obtained by searching in a large database.

3. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: A degree value is set for each color that each agricultural product can present. When obtaining the color degree value of the current agricultural product, the color features in the current agricultural product image are extracted, and the color features are compared with the preset color features stored in the database to determine the preset color features closest to the extracted color features. The preset degree value corresponding to the preset color features is then marked as the color degree value of the current agricultural product.

4. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: When obtaining the actual state performance value of the current agricultural product, the shape, size and appearance features of the current agricultural product image are extracted and marked as QRC and Dnc respectively. Calculate the actual status performance value of current agricultural products, where b1 and b2 are preset influencing factor coefficients.

5. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: The fresh-keeping processing module comprises a plurality of fresh-keeping refrigeration units, and the fresh-keeping refrigeration units are correspondingly arranged in the fresh-keeping storage chamber (2). The fresh-keeping refrigeration units comprise a temperature regulating device, a humidity regulating device, a ventilation device, and a gas regulating device.

6. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: The image acquisition module (3) is configured as a camera, the weighing module (5) is configured as an electronic scale, the camera is located above the electronic scale, and the camera can be used to take a photo of the agricultural products while the electronic scale is used to weigh the agricultural products.

7. The intelligent fresh-keeping device for agricultural products according to claim 1, characterized in that: The information input module (4) is configured as an electronic display screen, on which a worker can input the name, origin, quality, shelf life, and time of leaving the planting site of the agricultural product.

8. An intelligent preservation process for agricultural products, comprising the intelligent preservation device for agricultural products according to any one of claims 1 to 7, characterized in that: The steps include: S1, placing the agricultural products to be preserved in a standard storage container, and using the weighing module (5) to weigh the agricultural products, while taking photos of the products through the image acquisition module (3); S2, inputting known basic information of agricultural products through the information input module (4), including the name, origin, quality, shelf life, and time of leaving the planting area of ​​the agricultural products; S3, the main control module automatically matches the preservation parameters and the suitable vacant fresh-keeping storage chamber (2) according to the acquired data information about the agricultural products by analyzing and processing the data information, and places the agricultural products into the fresh-keeping storage chamber (2); S4, by further extracting the characteristics of agricultural product image data, respectively obtain the current agricultural product color value Ys and actual state performance value Bj, and use the formula Calculate the current status evaluation value of agricultural products; S5. Compare the obtained current state evaluation value Zc of the agricultural product with the preset state evaluation value Z0. If Zc ≥ Z0, it is considered that the current state of the agricultural product is in the standard state, and the preservation treatment can be carried out according to the automatically matched preservation parameters. If Zc < Z0, it is considered that the current state of the agricultural product is not in the standard state, and the preservation parameters need to be adaptively corrected, that is, increase or decrease Zn on the basis of the original preservation parameters.

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