A sampling and testing system for agricultural product quality

Abstract

The present invention discloses a sampling and detection system for agricultural product quality. It uses non-contact measurement technology, combined with high-resolution cameras and infrared sensors, to detect agricultural products packaged in indirect cold plasma combined with modified atmosphere, automatically capturing slight changes in the products and analyzing problems. Using visual inspection equipment, the system can automatically identify and mark suspected problem products, and then transfer them to the area to be inspected for analysis. The system also includes flexible pressure testing and gas sensor testing to evaluate the physical pressure resistance of agricultural products and changes in gas composition in the packaging, ensuring the freshness and safety of the products. Through pH value and microbial testing, the system can ensure the hygiene standards of agricultural products. The integration of a data cloud platform and a digital twin model realizes centralized management and intelligent analysis of detection data, providing intuitive decision support for operators. The present invention aims to reduce the labor intensity and error rate of manual inspection and improve the efficiency and accuracy of the inspection process.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural product quality sampling inspection, and in particular to an agricultural product quality sampling inspection system. Background Art

[0002] Agricultural product quality testing technology continues to advance with scientific and technological progress, but traditional methods mainly rely on manual operations, which are inefficient and highly subjective. The application of non-contact measurement technologies such as photoelectric and electromagnetic technologies has improved the speed and accuracy of detection, but still requires further integration to achieve full automation. In addition, although modified atmosphere packaging technology has effectively extended the shelf life of agricultural products, there is still room for improvement in packaging quality testing.

[0003] Modified atmosphere packaging technology effectively extends the shelf life of food by precisely controlling the ratio of oxygen, carbon dioxide, and nitrogen within the package. 29 Combined with indirect cold plasma technology, it can sterilize the food surface non-thermally using the active substances produced without direct contact with the food, further inhibiting microbial growth and preserving food freshness.

[0004] Modern agricultural product quality inspection systems are beginning to integrate intelligent analysis systems, using computer image analysis technology to achieve target identification and tracking, thereby improving the level of automation in inspections. Digital twin technology, as an emerging solution, creates virtual models of agricultural products and uses real-time data for simulation and monitoring, providing new possibilities for optimizing inspection processes and improving efficiency. The application of these technologies helps reduce human errors and improve the consistency and reliability of inspections.

[0005] The application of data cloud platforms and big data technologies in agricultural product quality testing enables the testing system to collect and analyze large amounts of data, providing deeper insights and predictions. Through data modeling and analysis, the testing system can not only monitor the quality of agricultural products in real time, but also predict potential problems and take measures in advance. In addition, the accuracy of microbial testing technology is crucial to ensuring food safety. Modern testing technology can perform precise microbial content analysis on samples to ensure that agricultural products meet safety standards.

[0006] Therefore, it is necessary to provide a kind of agricultural product quality sampling and testing system to solve the above-mentioned technical problems. Summary of the Invention

[0007] The present invention overcomes the deficiencies of the prior art and provides a system for sampling and detecting the quality of agricultural products.

[0008] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a system for sampling and detecting the quality of agricultural products, comprising the following steps:

[0009] S1: Place the agricultural products packaged with indirect cold plasma combined with modified atmosphere at the starting position of the production line, ensuring that each agricultural product is placed separately to facilitate the subsequent testing process;

[0010] S2: Use high-resolution cameras and infrared sensors to perform non-contact measurement of agricultural products, ensuring that even small changes in packaging can be captured;

[0011] S3: Use visual inspection equipment to analyze product images, identify potential problem products based on preset standards, automatically mark the suspected problem products, and transfer them from the main pipeline to the area to be inspected;

[0012] S4: Perform a flexible pressure test, set the pressure range of the flexible pressure device to apply a pressure of 0.5-1.5 kgf, and set the duration of the pressure test to last for 5 seconds;

[0013] S5: Perform gas sensor detection to enable the gas sensor to detect whether the concentration changes of oxygen, carbon dioxide and ethylene are abnormal;

[0014] S6: If the flexible pressure test passes, sample the suspected problematic product with a sample size of 10g for pH and microbiological testing. Based on the test results, adjust the ratio of oxygen and carbon dioxide in the modified atmosphere packaging.

[0015] S7: The data cloud platform collects all inspection data, matches it with the digital twin model, automatically calculates indicator values, and displays them as 3D images on the control terminal. The control terminal operator adjusts equipment parameters based on the displayed data to optimize the production process.

[0016] S8: Through iterative optimization, 45% of the collected data in the next process cycle is used as verification data to test the working efficiency and product quality of the automated production line; the system automatically records the results of each test and adjustment, providing data support and optimization suggestions for future production.

[0017] In a preferred embodiment of the present invention, in S1, the interval between each piece of agricultural product is set to 5-10 cm.

[0018] In a preferred embodiment of the present invention, in said S2, the scanning resolution of the high-resolution camera is set to 300 dpi, and the temperature detection threshold of the infrared sensor is set in the range of -10-+10°C.

[0019] In a preferred embodiment of the present invention, in said S3, the preset standard is: the area of ​​the damaged package is greater than 5cm 2 Or products with surface defects, irregular shapes, or inconsistent maturity.

[0020] In a preferred embodiment of the present invention, in said S5, a threshold value of gas concentration is set, and a decrease in oxygen concentration exceeding 5% or an increase in ethylene concentration exceeding 1 ppm is considered abnormal.

[0021] In a preferred embodiment of the present invention, in S5, the detection frequency of the gas sensor is set to 0.2 Hz to monitor the change of gas concentration in real time.

[0022] In a preferred embodiment of the present invention, in said S5, the gas sensors are located on the top and sides of the package to comprehensively monitor changes in gas composition.

[0023] In a preferred embodiment of the present invention, in said S6, when detecting the pH value index, the accuracy of the pH value is set to 0.01, and the number of repetitions of the pH value index detection is set to 3 times.

[0024] In a preferred embodiment of the present invention, in said S6, when performing microbial detection, the threshold value of the total number of colonies is set to no more than 10 per gram of sample. 4 CFU, and the culture time range is set to 24-48h.

[0025] In a preferred embodiment of the present invention, a system for sampling and detecting agricultural product quality includes: an automatic conveyor belt, a high-resolution camera, an infrared sensor, a visual detection device, a flexible pressure testing device, a gas sensor, a pH value and microbial detection equipment, a data cloud platform and a digital twin model.

[0026] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0027] (1) The present invention provides a sampling and detection system for agricultural product quality, which greatly improves detection efficiency and accuracy through non-contact measurement and automated detection processes; uses high-resolution cameras and infrared sensors to capture subtle changes in agricultural products, and combines visual inspection equipment to analyze product images, which can effectively identify potential problem products; in addition, by setting preset standards, the system can automatically mark suspected problem products and transfer them to the area to be inspected, reducing the labor intensity and human errors of manual inspection and ensuring the consistency and reliability of agricultural product quality.

[0028] (2) The present invention provides a sampling and detection system for agricultural product quality. By adopting a method combining flexible pressure testing and gas sensor detection, the system can comprehensively evaluate the physical and chemical properties of agricultural products. By setting a precise pressure range and duration, the system can perform detailed pressure testing on agricultural products to ensure the packaging integrity and pressure resistance of agricultural products. At the same time, the gas sensor can monitor the concentration changes of oxygen, carbon dioxide and ethylene in real time, detect abnormal conditions in a timely manner, and provide a scientific basis for the preservation and storage of agricultural products. This comprehensive detection method helps to improve the overall quality and market competitiveness of agricultural products.

[0029] (3) The present invention provides a sampling and testing system for agricultural product quality, which is equipped with a data cloud platform and a digital twin model to realize centralized management and intelligent analysis of test data. By collecting all test data and matching them with the digital twin model, the system can automatically calculate the index values ​​and display them in three-dimensional images, providing intuitive decision support for operators. In addition, the system continuously adjusts equipment parameters and production processes through iterative optimization and uses collected data as verification to achieve continuous improvement in production efficiency and product quality. It automatically records test and adjustment results, provides valuable data support and optimization suggestions for future production, and helps enterprises achieve intelligent and refined management. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments described in the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive efforts.

[0031] Figure 1 It is a flow chart of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0033] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0034] like Figure 1As shown, the present invention provides a system for sampling and detecting quality of agricultural products, comprising the following steps:

[0035] S1: Place the indirect cold plasma combined with modified atmosphere packaged agricultural products such as cherry tomatoes, cucumbers and lettuce at the starting position of the production line, ensuring that each agricultural product is placed individually, with a spacing of 5-10 cm between each agricultural product to facilitate the subsequent inspection process;

[0036] S2: Use a high-resolution camera and infrared sensor to perform non-contact measurement of agricultural products. The high-resolution camera scanning resolution is set to 300dpi, and the temperature detection threshold of the infrared sensor is set within the range of -10-+10℃ to ensure that slight changes in the packaging can be captured.

[0037] S3: Use visual inspection equipment to analyze product images and identify potential problem products based on preset standards. The identified suspected problem products are automatically marked and transferred from the main pipeline to the inspection area. The preset standard is: the area of ​​the damaged package is greater than 5cm 2 or products with surface defects, irregular shapes, or inconsistent maturity;

[0038] S4: Perform a flexible pressure test, set the pressure range of the flexible pressure device to apply a pressure of 0.5-1.5 kgf, and set the duration of the pressure test to last for 5 seconds;

[0039] S5: Perform gas sensor testing to enable the gas sensor to detect whether the concentration changes of oxygen, carbon dioxide and ethylene are abnormal. When the oxygen concentration drops by more than 5% or the ethylene concentration rises by more than 1ppm, it is considered abnormal. The detection frequency of the gas sensor is set to 0.2Hz to monitor the changes in gas concentration in real time. The gas sensors are located on the top and side of the package to comprehensively monitor changes in gas composition.

[0040] S6: If the flexible pressure test passes, take samples of the suspected problem products, set the sample size to 10g, and conduct pH index test and microbiological test. When testing the pH index, set the pH value precision to 0.01, and the number of repetitions of the pH index test to 3 times. When testing the microbiological index, the threshold of the total number of colonies is set to no more than 10 colonies per gram of sample. 4 CFU, and set the culture time range to 24-48h. According to the test results, adjust the oxygen and carbon dioxide ratio in the modified atmosphere packaging to 8-12% oxygen and 1.5-2.5% carbon dioxide.

[0041] S7: The data cloud platform collects all inspection data, matches it with the digital twin model, automatically calculates indicator values, and displays them as 3D images on the control terminal. The control terminal operator adjusts equipment parameters based on the displayed data to optimize the production process.

[0042] S8: Through iterative optimization, 45% of the collected data in the next process cycle is used as verification data to test the working efficiency and product quality of the automated production line; the system automatically records the results of each test and adjustment, providing data support and optimization suggestions for future production.

[0043] It should be noted that:

[0044] S1: By placing each piece of produce individually and keeping them 5-10cm apart, we ensure efficient and accurate testing. This approach not only avoids interference between products but also maintains smooth operation of the production line, thereby ensuring continuity and consistency in testing.

[0045] S2: Using a 300dpi high-resolution camera and infrared sensor for non-contact measurement, it provides a non-destructive way to inspect agricultural products, effectively protecting their integrity. This measurement can capture subtle changes in product packaging and temperature, providing important data support for early detection of potential problems.

[0046] S3: Automated visual inspection equipment significantly improves the efficiency of identifying potentially problematic products. Using pre-set criteria, the equipment can quickly and automatically identify damaged or deformed products, reducing the need for manual inspection and potential errors, and improving the accuracy of the entire inspection process.

[0047] S4: The flexible pressure test evaluates the pressure resistance of product packaging by simulating actual transportation conditions. Applying a pressure of 0.5-1.5 kgf for 5 seconds helps screen out structurally fragile products, ensuring that only products that meet pressure resistance requirements enter the market, thereby improving product market access standards.

[0048] S5: Gas sensor detection provides an effective means to promptly detect product freshness and spoilage by monitoring changes in oxygen, carbon dioxide, and ethylene concentrations in real time. The 0.2Hz detection frequency ensures a rapid response to changes in gas composition, providing early indicators for assessing product quality and safety.

[0049] S6: In-depth pH and microbiological testing of suspected problematic products ensures food safety. Accurate pH testing and microbial counts help assess the hygienic condition of the product. Based on these test results, the oxygen and carbon dioxide ratio in the modified atmosphere packaging is adjusted to optimize freshness and extend the shelf life of the product.

[0050] S7: Leveraging a data cloud platform and digital twin models, we achieve real-time collection and analysis of agricultural product testing data. This step uses intuitive 3D images displayed on the control terminal, enabling operators to quickly understand the current production status and make timely adjustments to equipment parameters based on data analysis results. This data-driven decision-making process not only improves production efficiency but also ensures consistent and optimized product quality.

[0051] S8: Through iterative optimization and automated system recording, we continuously monitor and improve the efficiency and product quality of our automated production lines. We use 45% of the collected data from the next process cycle as validation data to ensure the stability and reliability of the production process. Furthermore, the system records each test and adjustment result, providing valuable data support and optimization suggestions for future production, helping to accumulate production experience and build a knowledge base, laying the foundation for long-term development.

[0052] An agricultural product quality sampling and testing system includes: an automatic conveyor belt, a high-resolution camera, an infrared sensor, a visual inspection device, a flexible pressure testing device, a gas sensor, a pH and microbial detection device, a data cloud platform and a digital twin model.

[0053] It should be noted that: automatic conveyor belts are used to transport agricultural products to the inspection area; high-resolution cameras are used to capture images of agricultural products; infrared sensors are used to detect the surface temperature of agricultural products; visual inspection equipment is used to analyze images and identify problem products; flexible pressure testing devices are used to simulate extrusion during transportation; gas sensors are used to detect gas concentration in the package.

[0054] Example 1:

[0055] Indirect cold plasma combined with modified atmosphere packaging method:

[0056] Choose fresh agricultural products: Choose cucumbers that are 90% mature, brightly colored, uniform in size, and free of mechanical damage and pests and diseases.

[0057] Cleaning and pretreatment: Wash the cucumbers with clean water, soak for about 10 minutes, take them out and absorb the surface moisture.

[0058] Modified atmosphere packaging: Place the cucumbers in a special modified atmosphere packaging bag and fill it with 10% oxygen, 2% carbon dioxide and 88% nitrogen.

[0059] Cold plasma treatment: The packaged cucumbers are transported through the production line into a high-voltage electric field, using the medium surrounding the food to generate photoelectrons, ions and free radicals, which come into contact with the surface of microorganisms, causing their cells to be destroyed, thereby achieving a sterilization effect.

[0060] System composition:

[0061] Automatic conveyor belt for transporting cucumbers to the inspection area;

[0062] a high-resolution camera to capture images of cucumbers;

[0063] Infrared sensor, used to detect the surface temperature of cucumber;

[0064] Visual inspection equipment to analyze images and identify defective products;

[0065] Flexible pressure testing device, used to simulate squeezing during transportation;

[0066] Gas sensor, used to detect gas concentration inside the package;

[0067] pH and microbiological testing equipment to assess the freshness and safety of cucumbers;

[0068] Data cloud platform and digital twin model for data collection, analysis and equipment monitoring;

[0069] Implementation steps:

[0070] S1: Place the cucumbers at the starting position of the automatic conveyor, ensuring that there is an 8cm gap between each product.

[0071] S2: Use a high-resolution camera to scan the cucumbers, set the resolution to 300dpi to ensure image clarity; the infrared sensor detection temperature range is set to -5-+5℃.

[0072] S3: The visual inspection equipment analyzes the image and automatically identifies the following issues:

[0073] Package damage: Identify the package damage area larger than 5cm 2 products.

[0074] Product deformation: Identify cucumbers with surface defects, irregular shapes, and inconsistent ripeness.

[0075] S4: Perform a flexible pressure test on the suspected problem product, applying a pressure of 1.0kgf for 5 seconds.

[0076] S5: Gas sensors monitor the concentrations of oxygen, carbon dioxide, and ethylene within the packaging at a frequency of 0.2Hz. If the oxygen concentration drops by more than 5% or the ethylene concentration rises by more than 1ppm, the system issues an alarm, automatically marking the suspected product and moving it to a waiting area for inspection.

[0077] S6: Take 10g of sample from the product that has passed the flexible pressure test, set the pH value detection accuracy to 0.01, and repeat the test three times. The microbial detection threshold is set to no more than 10 colonies per gram of sample. 3 CFU.

[0078] S7: The data cloud platform collects all inspection data, matches it with the digital twin model, automatically calculates the indicator values, and displays them in the form of three-dimensional images on the control terminal. The control terminal operator adjusts the equipment parameters based on the displayed data to optimize the production process.

[0079] S8: Through iterative optimization, 45% of the collected data in the next process cycle is used as verification data to test the working efficiency and product quality of the automated production line; the system automatically records the results of each test and adjustment, providing data support and optimization suggestions for future production.

[0080] In summary:

[0081] The quality and safety of agricultural products are ensured through a series of inspection steps. The system design includes automatic conveyor belts, high-resolution cameras, infrared sensors, visual inspection equipment, flexible pressure testing devices, gas sensors, pH and microbiological testing equipment, as well as a data cloud platform and digital twin model. These components work together to cover the entire process, from individual placement of agricultural products, non-contact measurement, image analysis, pressure testing, to gas concentration monitoring and in-depth chemical and microbiological testing. The system collects data in real time, analyzes it using a digital twin model, and displays it visually in 3D images, allowing operators to adjust equipment parameters and optimize production processes in a timely manner.

[0082] Automation reduces manual intervention and improves inspection efficiency and accuracy. Secondly, real-time data collection and analysis capabilities enable the system to quickly respond to any quality changes, providing strong assurance of the freshness and safety of agricultural products. Furthermore, the system's iterative optimization capabilities allow it to continuously learn and improve based on collected data, thereby enhancing production efficiency and product quality. The system's automatically recorded inspection and adjustment results not only provide data support for current production but also lay the foundation for future production optimization and knowledge accumulation.

[0083] The above description is based on the ideal embodiment of the present invention. Based on the above description, relevant personnel can make various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the content of the specification and must be determined according to the scope of the claims.

Claims

1. A method for sampling and detecting the quality of agricultural products, characterized in that: The following steps are involved: S1: Place the agricultural products packaged with indirect cold plasma combined with modified atmosphere at the starting position of the production line, ensuring that each agricultural product is placed separately to facilitate the subsequent testing process; S2: Use high-resolution cameras and infrared sensors to perform non-contact measurement of agricultural products, ensuring that even small changes in packaging can be captured; S3: Use visual inspection equipment to analyze product images, identify potential problem products based on preset standards, automatically mark the suspected problem products, and transfer them from the main pipeline to the area to be inspected; S4: Perform a flexible pressure test, set the pressure range of the flexible pressure device to apply a pressure of 0.5-1.5 kgf, and set the duration of the pressure test to last for 5 seconds; S5: Perform gas sensor detection to enable the gas sensor to detect whether the concentration changes of oxygen, carbon dioxide and ethylene are abnormal; S6: If the flexible pressure test passes, sample the suspected problematic product with a sample size of 10g for pH and microbiological testing. Based on the test results, adjust the ratio of oxygen and carbon dioxide in the modified atmosphere packaging. S7: The data cloud platform collects all inspection data, matches it with the digital twin model, automatically calculates indicator values, and displays them as 3D images on the control terminal. The control terminal operator adjusts equipment parameters based on the displayed data to optimize the production process. S8: Through iterative optimization, 45% of the collected data in the next process cycle is used as verification data to test the working efficiency and product quality of the automated production line; the system automatically records the results of each test and adjustment, providing data support and optimization suggestions for future production.

2. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In S1, the interval between each piece of agricultural product is set to 5-10 cm.

3. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In the step S2, the scanning resolution of the high-resolution camera is set to 300 dpi, and the temperature detection threshold of the infrared sensor is set to a range of -10 to +10°C.

4. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In S3, the preset standard is: the area of ​​the damaged package is greater than 5cm 2 Or products with surface defects, irregular shapes, or inconsistent maturity.

5. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In the above-mentioned S5, a threshold value of gas concentration is set, and a decrease in oxygen concentration exceeding 5% or an increase in ethylene concentration exceeding 1 ppm is regarded as abnormal.

6. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In the above-mentioned S5, the detection frequency of the gas sensor is set to 0.2 Hz to monitor the change of gas concentration in real time.

7. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In the S5 , the gas sensors are positioned on the top and sides of the package to comprehensively monitor changes in gas composition.

8. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In the step S6 , when detecting the pH value index, the accuracy of the pH value is set to 0.01, and the number of repetitions of the pH value index detection is set to 3 times.

9. The method for sampling and detecting agricultural product quality according to claim 1, wherein: In said S6, when performing microbial detection, the threshold value of the total colony count is set to no more than 10 colonies per gram of sample. 4 CFU, and the culture time range is set to 24-48h.

10. An agricultural product quality sampling and detection system according to any one of claims 1 to 9, characterized in that: include: Automatic conveyor belts, high-resolution cameras, infrared sensors, visual inspection equipment, flexible pressure testing devices, gas sensors, pH and microbial detection equipment, data cloud platforms and digital twin models.

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