Agricultural food product quality control method based on international standard

Abstract

The invention provides an agricultural food product quality control method based on an international standard, and the method comprises the steps: finding out a standard threshold value of a related detection item through searching the international standard of a target sales place; establishing a first quality control model of agricultural food product quality dynamic change along with time, and obtaining a quality equation and a differential equation of the detection item; introducing a quality cooperative control strategy into the first quality control model to obtain a second quality control model; setting a quality control target according to a detection item threshold value of an international standard, monitoring the quality of the agricultural food product in real time, and dynamically adjusting parameters in a quality control model, so that the quality of the agricultural food product meets the quality control target within expected time; in combination with a feedback control mechanism, quality control parameters are dynamically adjusted, so that the agricultural food product quality approaches the target quality. The method can reflect the dynamic change of agricultural food product quality in real time, comprehensively considers the quality control level of multiple links, and improves the systematicness and collaboration of quality control.

Description

Technical Field

[0001] The present invention belongs to the technical field of agricultural food product quality control, and in particular relates to an agricultural food product quality control method based on international standards. Background Art

[0002] Quality control of agricultural and food products is an important part of ensuring food safety and consumer health. With the development of global trade, the international trade volume of agricultural and food products continues to increase. How to effectively control the quality of agricultural and food products and ensure that they meet the international standards of the target sales location has become an urgent problem to be solved. At present, the quality control of agricultural and food products mainly depends on the food safety standards and testing methods of various countries and regions. These standards and methods vary between different countries and regions, bringing challenges to international trade.

[0003] In traditional agricultural and food product quality control methods, static quality detection methods are usually used, that is, agricultural and food products are tested at a certain point in time, and quality control is performed based on the test results. However, this static detection method has many shortcomings. First, the quality of agricultural and food products is a dynamic process, which is affected by many factors, such as storage conditions and environmental changes during transportation. Static detection cannot reflect the dynamic changes in the quality of agricultural and food products in real time, which easily leads to a lag in quality control. Secondly, traditional quality control methods lack systematicity and synergy, and cannot comprehensively consider the quality control levels of multiple links such as farmers and processing enterprises, resulting in unsatisfactory quality control effects. In recent years, researchers have proposed some dynamic quality control methods, such as quality prediction and control methods based on mathematical models. However, these methods still have some problems in practical applications. For example, most of the existing dynamic quality control models only consider the quality control level of a single link, and fail to fully consider the synergy of multiple links such as farmers and processing enterprises. In addition, most of the existing dynamic quality control methods are based on domestic standards, lack comprehensive consideration of international standards, and cannot effectively respond to quality control needs in international trade.

[0004] Therefore, there is an urgent need for a quality control method for agricultural and food products based on international standards. Summary of the invention

[0005] The purpose of the present invention is to provide a quality control method for agricultural and food products based on international standards, which can comprehensively consider the quality control levels of farmers and processing enterprises, reflect the dynamic changes in the quality of agricultural and food products in real time, and improve the quality control effect through collaborative control strategies, thereby ensuring that agricultural and food products meet the international standards of the target sales location and meet the quality control needs of international trade.

[0006] The technical solution of the present invention is as follows: A method for controlling the quality of agricultural and food products based on international standards, comprising the following steps: Step S1, searching for the international standards of the target sales area corresponding to the agricultural and food products, and finding the standard thresholds of the detection items related to the agricultural and food products.

[0007] Farmers’ quality control level at the initial stage represents the probability that the quality of the harvested agricultural and food products is qualified, assuming that the quality of the agricultural and food products at the initial moment is for ,but .

[0008] Step S2, establishing a first quality control model for the dynamic change of the agricultural and food product quality over time, and obtaining the quality equation and differential equation of the detection item according to the quality inspection level and quality control level equation of the processing enterprise.

[0009] The first quality control model of agricultural and food product quality changing dynamically over time is:

[0010] in, For agricultural and food products the quality of the moment; The quality control level of farmers at the initial moment; For processing enterprises The quality inspection level at all times; For processing enterprises The level of quality control at all times; are all constants greater than zero, among which, Represents the weight of the impact of farmers’ quality control level on the quality of agricultural and food products, Represents the weight of the impact of the quality inspection level of processing enterprises on the quality of agricultural and food products, Represents the weight of the processing enterprise's influence on the quality of agricultural and food products in terms of quality control level, Represents the natural attenuation coefficient of agricultural and food product quality.

[0011] Quality inspection level of processing enterprises and quality control level Changes over time, expressed as:

[0012] in, and is the quality inspection and control level at the initial moment, and Increments for increasing levels of inspection and control over time; Will and Substituting the first quality control model in which the quality changes dynamically over time, we get: To solve , rewriting it into differential equation form:

[0013] set up , then:

[0014]

[0015]

[0016]

[0017] in is a constant.

[0018] According to the initial conditions ,have: ,therefore ; Finally, the change of agricultural food product quality Q(t) over time is expressed as: .

[0019] Step S3, introducing a quality collaborative control strategy into the first quality control model according to the quality equation and differential equation of the detection item to obtain a second quality control model.

[0020] Introducing the quality collaborative control strategy into the first quality control model:

[0021] in represents the effect of collaborative control measures, is the weight of the collaborative control measure, and the effect of the collaborative control measure is expressed as: Where η is the efficiency coefficient of the collaborative control measures.

[0022] Then the second quality control model is: .

[0023] Step S4, setting a quality control target according to the detection item threshold of the international standard, so that the agricultural and food products under the quality control target meet the detection item threshold of the international standard.

[0024] According to the quality control objectives Monitor the quality of agricultural and food products in real time and dynamically adjust the final quality control model Parameters to dynamically adjust the quality inspection level and control level , so that the quality of agricultural and food products can be improved within the expected time .

[0025] Real-time monitoring of agricultural and food product quality through the second quality control model , dynamically adjust the quality control parameters in the second quality control model through the feedback control mechanism, so that the quality of agricultural and food products Approaching target quality .

[0026] The feedback control mechanism is expressed as:

[0027] in, , and are the proportional, integral and differential control parameters respectively.

[0028] Combining the feedback control mechanism and the second quality control model, we get the comprehensive quality control model: .

[0029] The beneficial effects of the present invention are as follows: The present invention can reflect the changes in the quality of agricultural and food products in real time by establishing a model for the dynamic changes of agricultural and food product quality over time, avoiding the lag of traditional static detection methods, introducing a quality collaborative control strategy into the quality control model, and comprehensively considering the quality control levels of multiple links such as farmers and processing enterprises, thereby improving the systematicness and coordination of quality control; combined with a feedback control mechanism, the quality control parameters can be dynamically adjusted according to the real-time monitored quality data, so that the quality of agricultural and food products approaches the target quality, thereby improving the accuracy and effect of quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a flow chart of the agricultural and food product quality control method based on international standards of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention is described clearly and completely below. Obviously, the described embodiments are 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.

[0032] like Figure 1 The figure shows a flow chart of a method for quality control of agricultural and food products based on international standards, which includes the following steps: Step S1, searching for the international standards of the target sales area corresponding to the agricultural and food products, and finding the standard thresholds of the detection items related to the agricultural and food products.

[0033] Find the relevant international standards of the target sales location, determine the test items related to agricultural and food products and their standard thresholds; for example, pesticide residues, heavy metal content, microbial indicators, etc. of a certain agricultural product. For example, for fresh fruits exported to the EU, it is necessary to find the EU Food Regulation (EC) No 178 / 2002 and the Pesticide Residue Regulation (EC) No 396 / 2005, and determine that the standard threshold for test items such as acetamiprid pesticide residues is 0.01mg / kg. Different target markets such as the United States, Japan, Australia, etc. may have different standard thresholds, so a comprehensive standard comparison analysis is required, and the most stringent standard is selected as the quality control target.

[0034] Farmers’ quality control level at the initial stage represents the probability that the quality of the harvested agricultural and food products is qualified. Suppose the quality of the agricultural and food products at the initial moment is for ,but .

[0035] Step S2, establishing a first quality control model for the dynamic change of the agricultural and food product quality over time, and obtaining the quality equation and differential equation of the detection item according to the quality inspection level and quality control level equation of the processing enterprise.

[0036] The first quality control model of agricultural and food product quality changing dynamically over time is:

[0037] in, For agricultural and food products the quality of the moment; The quality control level of farmers at the initial moment; For processing enterprises The quality inspection level at all times; For processing companies The level of quality control at all times; are all constants greater than zero, among which, Represents the weight of the impact of farmers’ quality control level on the quality of agricultural and food products, Represents the weight of the impact of the quality inspection level of processing enterprises on the quality of agricultural and food products, Represents the weight of the processing enterprise's influence on the quality of agricultural and food products in terms of quality control level, The natural attenuation coefficient represents the quality of agricultural and food products. The parameters α, β, γ, and δ can be determined through historical data regression analysis. For example, for perishable fruit products, the natural attenuation coefficient δ is usually between 0.05 and 0.15.

[0038] Quality inspection level of processing enterprises and quality control level Changes over time, expressed as:

[0039] in, and is the quality inspection and control level at the initial moment, and Incremental level of inspection and control added over time; quality inspection increment and quality control increments It can be set according to the actual resources and technical conditions of the enterprise. The value is between 0.02-0.08, The value is between 0.03-0.1.

[0040] Will and Substituting the first quality control model in which the quality changes dynamically over time, we get: To solve , rewriting it into differential equation form:

[0041] set up , then:

[0042]

[0043]

[0044]

[0045] in is a constant.

[0046] According to the initial conditions ,have: ,therefore ; Finally, the change of agricultural food product quality Q(t) over time is expressed as: .

[0047] Step S3, introducing a quality collaborative control strategy into the first quality control model according to the quality equation and differential equation of the detection item to obtain a second quality control model.

[0048] Introducing the quality collaborative control strategy into the first quality control model:

[0049] in represents the effect of collaborative control measures, is the weight of the collaborative control measure, and the effect of the collaborative control measure is expressed as: Where η is the efficiency coefficient of the collaborative control measures.

[0050] Then the second quality control model is: .

[0051] The specific implementation of the collaborative control strategy includes: establishing an information sharing platform between farmers and processing enterprises to transmit agricultural and food product quality data in real time; formulating standardized operating procedures (SOPs) to ensure the consistency of quality control measures in each link; implementing a traceability system to achieve full-process product quality monitoring; regularly organizing quality training and experience exchange meetings for farmers and processing enterprises to improve quality awareness and skills; the value of the collaborative efficiency coefficient η is usually between 0.5 and 1.5, reflecting the intensity of the collaborative effect.

[0052] Step S4, setting a quality control target according to the detection item threshold of the international standard, so that the agricultural and food products under the quality control target meet the detection item threshold of the international standard.

[0053] According to the quality control objectives Monitor the quality of agricultural and food products in real time and dynamically adjust the final quality control model Parameters to dynamically adjust the quality inspection level and control level , so that the quality of agricultural and food products can be improved within the expected time .

[0054] Real-time monitoring of agricultural and food product quality through the second quality control model , dynamically adjust the quality control parameters in the second quality control model through the feedback control mechanism, so that the quality of agricultural and food products Approaching target quality .

[0055] The feedback control mechanism is expressed as:

[0056] in, , and They are proportional, integral and differential control parameters respectively. The initial values ​​of PID control parameters Kp, Ki and Kd can be set to 0.5, 0.3 and 0.2 respectively, and then optimized and adjusted using improved particle swarm algorithm (PSO) according to the actual control effect; for different types of agricultural and food products, such as perishable fruits, grains, meat, dairy products, etc., specific parameter optimization models need to be established respectively; intelligent sensor networks can be used to collect agricultural and food product quality data in real time, and edge computing devices can be used for data processing and parameter adjustment to achieve adaptive quality control.

[0057] Combining the feedback control mechanism and the second quality control model, we get the comprehensive quality control model: .

[0058] The above comprehensive quality control model can also use machine learning algorithms to analyze historical data and optimize control parameters. , and , so that the quality of agricultural and food products can be improved under different environmental conditions. Ability to stabilize at target quality nearby.

[0059] The optimization process is expressed as:

[0060] Where N is the number of historical data samples.

[0061] Combined with the collaborative control strategy, the quality control parameters are optimized through the collaboration of multiple parties (such as farmers, processing enterprises, and possible quality inspection agencies). The collaborative control strategy is expressed as:

[0062] Among them, λ is the weight of the collaborative control measure, η1 and η2 are the efficiency coefficients of the collaborative control measures respectively; η1 is the efficiency coefficient of the collaborative control measure related to the target quality difference. Specifically, η1 reflects the difference between the quality of agricultural and food products and the target quality in the quality control process. The main function of the control measures taken to adjust the quality control parameters is to make the actual quality Q(t) of agricultural and food products as close to the target quality as possible. A high η1 value indicates that the control measures for quality differences are more efficient, that is, when differences are found between the quality of agricultural and food products and the target quality, measures can be taken quickly and effectively to make adjustments and quickly reduce the quality differences; a low η1 value indicates that the control measures for quality differences are less efficient, that is, when quality differences are found, the effects of the adjustment measures are not obvious and the speed of reducing the quality differences is slow.

[0063] η2 is the efficiency coefficient of the collaborative control measures related to the quality inspection level and quality control level. Specifically, η2 reflects the efficiency of the control measures taken for the quality inspection level y(t) and quality control level z(t) of the processing enterprises in the quality control process. Its main function is to improve the overall quality of agricultural and food products by optimizing the quality inspection and control level of processing enterprises; a high η2 value indicates that the collaborative control measures for the quality inspection and control level are more efficient, that is, by improving the quality inspection and quality control level of processing enterprises, the overall quality of agricultural and food products can be significantly improved; a low η2 value indicates that the collaborative control measures for the quality inspection and control level are less efficient, and even if the quality inspection and control level of processing enterprises is improved, the effect of improving the overall quality of agricultural and food products is not obvious.

[0064] By introducing feedback control mechanisms and machine learning optimization algorithms, quality control parameters can be dynamically adjusted without adding too many weight parameters, thereby improving the accuracy and adaptability of agricultural and food product quality control. At the same time, the introduction of collaborative control strategies can promote multi-party cooperation and jointly improve quality control effects.

[0065] Taking apples exported to the EU by a certain enterprise as an example, by applying this method, the initial farmer quality control level x(0) is 0.85, the initial quality Q0 is 0.9, and by setting a reasonable quality inspection increment = 0.04 and quality control increments =0.06, introduced a collaborative control strategy (λ=0.8, η=1.2), used the optimized PID parameters (Kp=0.62, Ki=0.35, Kd=0.18) for feedback control, and kept the sample quality to meet the target value Qtarget=0.92, which effectively reduced the quality fluctuation, and the product qualification rate increased from the initial 88% to 96.5%, greatly reducing the risk of export returns.

[0066] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling the quality of agricultural and food products based on international standards, characterized in that: The method comprises the following steps: Step S1, searching for the international standards of the target sales area corresponding to the agricultural and food products, and finding the standard thresholds of the detection items related to the agricultural and food products; Step S2, establishing a first quality control model for the dynamic change of the agricultural and food product quality over time, and obtaining the quality equation and differential equation of the detection item according to the quality inspection level and quality control level equation of the processing enterprise; Farmers’ quality control level at the initial stage represents the probability that the quality of the harvested agricultural and food products is qualified, assuming that the quality of the agricultural and food products at the initial moment is for ,but ; The first quality control model of agricultural and food product quality changing dynamically over time is: ； in, For agricultural and food products the quality of the moment; The quality control level of farmers at the initial moment; For processing enterprises The quality inspection level at all times; For processing enterprises The level of quality control at all times; are all constants greater than zero, among which, Represents the weight of the impact of farmers’ quality control level on the quality of agricultural and food products, Represents the weight of the impact of the quality inspection level of processing enterprises on the quality of agricultural and food products, Represents the weight of the processing enterprise's influence on the quality of agricultural and food products in terms of quality control level, The natural attenuation coefficient representing the quality of agricultural and food products; Step S3, introducing a quality collaborative control strategy into the first quality control model according to the quality equation and differential equation of the detection item to obtain a second quality control model.

2. The agricultural and food product quality control method based on international standards according to claim 1, characterized in that: Quality inspection level of processing enterprises and quality control level Changes over time, expressed as: ； in, and is the quality inspection and control level at the initial moment, and Increments for increasing levels of inspection and control over time; Will and Substituting the first quality control model in which the quality changes dynamically over time, we get: To solve , rewriting it into differential equation form: ； set up , then: ； ； ； ； in is a constant.

3. The agricultural and food product quality control method based on international standards according to claim 2, characterized in that: According to the initial conditions ,have: ,therefore ; Finally, the change of agricultural product quality Q(t) over time is expressed as: .

4. The agricultural and food product quality control method based on international standards according to claim 3, characterized in that: Introducing the quality collaborative control strategy into the first quality control model: ； in represents the effect of collaborative control measures, is the weight of the collaborative control measure, and the effect of the collaborative control measure is expressed as: Where η is the efficiency coefficient of the collaborative control measures; Then the second quality control model is: .

5. The agricultural and food product quality control method based on international standards according to claim 4, characterized in that: The quality control method further comprises: Step S4, setting a quality control target according to the detection item threshold of the international standard, so that the agricultural and food products under the quality control target meet the detection item threshold of the international standard; According to the quality control objectives Monitor the quality of agricultural and food products in real time and dynamically adjust the final quality control model Parameters to dynamically adjust the quality inspection level and control level , so that the quality of agricultural and food products can be improved within the expected time .

6. The agricultural and food product quality control method based on international standards according to claim 5, characterized in that: Real-time monitoring of agricultural and food product quality through the second quality control model , dynamically adjust the quality control parameters in the second quality control model through the feedback control mechanism, so that the quality of agricultural and food products Approaching target quality ; The feedback control mechanism is expressed as: ； in, , and are the proportional, integral and differential control parameters respectively.

7. The agricultural and food product quality control method based on international standards according to claim 6, characterized in that: Combining the feedback control mechanism and the second quality control model, we get the comprehensive quality control model: 。

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