Quality safety traceability management method for food processing
By adopting quality and safety traceability management methods in the food processing industry, the comprehensive quality evaluation value of food is calculated, and the problems of large work burden and difficulty in quickly positioning of food safety traceability management in the existing technology are solved, and the effect of rapid positioning and continuous improvement of product quality is achieved.
Patent Information
- Application Number
- CN202510544408.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-28
- Publication Date
- 2025-05-30
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing food processing industry conducts quality and safety traceability after food safety accidents, resulting in excessive work burden on market supervision and management departments and it is difficult to quickly locate the problem.
A quality and safety traceability management method is adopted to calculate the basic quality evaluation value of food, food safety testing value and food comprehensive quality evaluation value through food information collection, data preprocessing and calculation processing modules, and combine market feedback and regulatory inspection scores to form a comprehensive and objective food quality and safety evaluation system.
This method can quickly locate the food quality problems, reduce the work burden of market supervision and management departments, and promote enterprises to continuously improve product quality and process flow through positive feedback loops.
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Figure CN120069908A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of food processing traceability management, and specifically provides a quality and safety traceability management method for food processing. Background Art
[0002] Food safety is an important source for ensuring the physical health and life safety of the public. In recent years, frequent food safety incidents have attracted extensive attention from all sectors of society. As a means to ensure food safety, food safety traceability has been widely applied at home and abroad.
[0003] For the food produced and sold on the market currently, often after a food safety problem occurs, the market supervision and management department will conduct quality and safety traceability. Moreover, due to the large number of links that food goes through from production to transportation and finally to sales, it adds a great workload to the quality and safety traceability of the market supervision and management department.
[0004] In view of the above problems, the present invention provides a quality and safety traceability management method for food processing. Summary of the Invention
[0005] The purpose of the present invention is to provide a quality and safety traceability management method for food processing, so as to solve the problems raised in the above background art.
[0006] To achieve the above purpose, the present invention provides the following technical solution: A quality and safety traceability management method for food processing, including the following steps: The method includes the following steps: Collect the quality certification documents of raw materials provided by suppliers and the test reports of food through the food information collection module, obtain the production date, shelf life, and production process score of the food, and obtain the raw material quality score M through sampling inspection and evaluation; Encode and identify the food through information technology means to obtain the traceability information of the food; Upload them to the database together; Decode and preprocess the data information uploaded to the database through the data preprocessing decoding module to obtain the parameters for calculation in the calculation processing module; Substitute the parameters into the food basic quality evaluation value algorithm unit in the calculation processing module to calculate the proportion of the remaining shelf life of the food through the calculation of the shelf life, production date of the food, and the time from the current time to the expiration of the shelf life of the produced food. This part of the proportion intuitively reflects the freshness of the food. Calculate the food basic quality evaluation value Q1 through this part of the proportion and the raw material quality score obtained through sampling inspection and evaluation, which are the two basic food quality influencing factors; The food basic quality assessment value Q1 is used as an input parameter and input into the food safety detection value algorithm unit in the calculation and processing module. Combining the traceability information of the food and the two food quality and safety information of the detection score, the food safety detection value Q2 is calculated. The food basic quality assessment value Q1 and the food safety detection value Q2 are substituted into the food comprehensive quality assessment value algorithm unit. Combining the two objective food quality influencing factors of the market feedback score value and the supervision and inspection score value, the different food comprehensive quality assessment values Q3 of different foods and different enterprises are calculated and uploaded to the database of the traceability management data. The food is subject to safety traceability management through the traceability management module.
[0007] Optionally, the safety traceability management in the traceability management module specifically includes: Set the safety threshold of the food comprehensive quality assessment value in the database as Y1, and compare the calculated different food comprehensive quality assessment values Q3 of different foods and different enterprises with the safety threshold Y1. When the food comprehensive quality assessment value Q3 produced by the enterprise is higher than the safety threshold Y1, production is permitted. When the food comprehensive quality assessment value Q3 produced by the enterprise is lower than the safety threshold Y1, production is stopped, and the market bureau conducts an artificial food quality and safety traceability review. Feedback and adjustment. When it is calculated that the food comprehensive quality assessment value Q3 produced by the enterprise is higher than the safety threshold Y1, in the calculation of the next food comprehensive quality assessment value of the enterprise, the previously calculated food comprehensive quality assessment value will enter a new round of iterative calculation, and the food comprehensive quality assessment value of the enterprise's new food will also increase accordingly, thus forming a positive feedback loop to promote the enterprise to continuously improve product quality and process flow.
[0008] Optionally, the quality and safety traceability management method of food processing operates using an information collection module, a data processing module, a calculation and processing module, and a traceability management module.
[0009] Optionally, the calculation and processing module includes a food basic quality assessment value algorithm unit, a food safety detection value algorithm unit, and a food comprehensive quality assessment value algorithm unit.
[0010] Optionally, the food basic quality assessment value algorithm unit is as follows: ; Where: Q1 represents the food basic quality assessment value. M represents the raw material quality score, which is a percentage value. P represents the production process score, which is a percentage value. T is the time remaining until the expiration date of the produced food; Tmax is the total time of the shelf life; k is the adjustment coefficient; α is the iterative adjustment coefficient, which is self-adjusted as the quality and safety traceability management of food processing progresses; Q3prev represents the comprehensive quality and safety assessment value of the food produced by the same enterprise in the previous production; In the formula calculation: This part is the correction term for calculating the basic food quality assessment value Q1, which is used to feedback the influence of the comprehensive food quality assessment value Q3 calculated for the previous food in this factory on the calculation of the basic food quality assessment value Q1 for this food. The square root of the comprehensive food quality assessment value Q3 calculated for the previous food is taken to mitigate the influence degree of this part of the correction term on the formula calculation result of the basic food quality assessment value Q1.
[0011] Optionally, the food safety detection value algorithm unit is as follows: ; Where: Q2 represents the food safety detection value; Q1 represents the basic quality assessment value of the food; R represents the completeness rate of the traceability information; D represents the detection score value of the processed food; In the formula calculation: This part represents the influence degree of the completeness rate R of the traceability information on the food safety detection value Q2. As the completeness rate R of the traceability information increases, the value of the calculated food safety detection value Q2 will also increase. For this part, the square root is taken to mitigate the influence degree of the completeness rate R of the traceability information on the formula calculation result of the food safety detection value Q2.
[0012] Optionally, the food comprehensive quality assessment value algorithm unit is as follows: ; Where: Q3 represents the comprehensive quality of the food; Q1 represents the basic quality assessment value; Q2 represents the food safety detection value; F represents the market feedback score value, which is the satisfaction of consumers with the product; S represents the regulatory inspection score value, which is the inspection result score of the government and food industry organizations; In the formula calculation: This part serves as the denominator in the algorithm formula. When the regulatory inspection result is good, that is, the regulatory inspection score value S is close to 1, the denominator approaches 1, thereby improving the calculated comprehensive quality Q3 of the food; When the regulatory inspection result is poor, that is, the regulatory inspection score value S is close to 0, the denominator approaches 2, and the increase in the denominator will reduce the calculated comprehensive quality Q3 of the food.
[0013] Optionally, set the safety threshold Y1 of the food comprehensive quality evaluation value in the database to 70%.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: First, through the algorithm combination, the calculated food comprehensive quality evaluation value of the present invention covers the comprehensive impacts of multiple links such as the raw material quality, production process, production time, shelf life, logistics, warehousing, distribution, and sales of the food. By comparing the food comprehensive quality evaluation value with the safety threshold, when the food comprehensive quality evaluation value is lower than the safety threshold, it is not necessary for the market supervision and management department to trace each of the above-mentioned links one by one, and the problem can be quickly located in the food comprehensive quality evaluation value algorithm, which provides convenience for subsequent manual food quality and safety traceability review and reduces the work burden of the market supervision and management department in the traceability management of food processing quality and safety.
[0015] Second, after calculating that the food comprehensive quality evaluation value of the food produced by the enterprise is higher than the safety threshold, in the calculation of the next food basic quality evaluation value of the enterprise, the previously calculated food comprehensive quality evaluation value will show a positive feedback in the new round of iterative calculation, and the food comprehensive quality evaluation value of the enterprise's new food will also increase accordingly, so as to form a positive feedback loop to encourage and promote the enterprise to continuously improve product quality and process flow. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a flowchart of the quality and safety traceability management method for food processing; Figure 2 It is a schematic diagram of the overall structure of the quality and safety traceability management method for food processing. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0018] Embodiment 1: Please refer toFigure 1 and Figure 2 , the present invention provides a technical solution: a quality and safety traceability management method for food processing, and the method includes the following steps: Collect the quality certification documents and test reports of raw materials provided by suppliers through the food information collection module, obtain the production date and shelf life of the food, and evaluate the raw material quality score M through sampling inspection and upload it to the database; Decode and preprocess the data information uploaded to the database through the data preprocessing and decoding module to obtain the parameters for calculation in the calculation processing module; Substitute the preprocessed parameters into the food basic quality evaluation value algorithm unit and the food safety detection value algorithm unit in the calculation processing module to calculate the food basic quality evaluation value Q1 and the food safety detection value Q2; Then, substitute the calculated food basic quality evaluation value Q1 and the food safety detection value Q2 into the food comprehensive quality evaluation value algorithm unit together to calculate the different food comprehensive quality evaluation values Q3 of different foods and different enterprises, record and store them in the database of the traceability management data; Conduct safety traceability management on the food through the traceability management module, specifically including: Set the safety threshold of the food comprehensive quality evaluation value in the database as Y1, compare the calculated different food comprehensive quality evaluation values Q3 of different foods and different enterprises with the safety threshold Y1, and when the food comprehensive quality evaluation value Q3 produced by the enterprise is higher than the safety threshold Y1, production is permitted; When the food comprehensive quality evaluation value Q3 produced by the enterprise is lower than the safety threshold Y1, production is stopped, and the market bureau conducts a manual food quality and safety traceability review; Feedback and adjustment, when the calculated food comprehensive quality evaluation value Q3 produced by the enterprise is higher than the safety threshold Y1, in the calculation of the next food comprehensive quality evaluation value of the enterprise, the previously calculated food comprehensive quality evaluation value will enter a new round of iterative calculation, and the food comprehensive quality evaluation value of the enterprise's new food will also increase accordingly, thus forming a positive feedback loop to promote the enterprise to continuously improve product quality and process flow.
[0019] In this embodiment: The present invention constitutes a complete quality and safety traceability management method for food processing through three algorithms, and all three algorithms play a substantial role: Food basic quality evaluation value algorithm one: The calculated food basic quality assessment value Q1 provides an objective quality benchmark for food processing products. It comprehensively considers raw material quality, production processes, and time factors, making quality assessment no longer rely on subjective judgment or a single indicator, improving the accuracy and reliability of assessment. In food quality and safety traceability management, based on the calculated food basic quality assessment value Q1, it helps trace the root cause of product quality problems. That is, when the comprehensive food quality assessment value of this food is lower than the safety threshold Y1, by analyzing the components of Q1, the problem can be quickly located and effective corrective measures can be taken.
[0020] Food safety detection value algorithm two: The food safety detection value Q2 calculated by algorithm two directly reflects the capabilities and levels of food processing enterprises in terms of quality and safety traceability and detection. It can intuitively show the performance of enterprises in aspects such as the establishment, operation, and maintenance of the traceability system, as well as the methods and frequencies of quality detection. By comparing the Q2 values of different times or different enterprises, the market supervision and management department can evaluate the advantages and disadvantages of their quality and safety traceability and detection work, providing data support for the improvement and enhancement of enterprises. And in the quality and safety traceability management of food processing, as an important reference index, enterprises can, according to the composition and scoring of the parameters for calculating Q2 in algorithm two, identify the weak links and potential risk points in quality and safety traceability and detection, and thus formulate targeted improvement measures and emergency plans. This helps enterprises improve their ability to respond to food safety emergencies and ensure product quality and consumer safety.
[0021] Food comprehensive quality assessment value algorithm three: The food comprehensive quality assessment value Q3 is calculated by integrating multiple factors such as the basic quality assessment Q1, the food safety detection value Q2, market feedback, and regulatory inspections, forming a comprehensive and objective product quality and safety assessment system. Through this system, enterprises can more accurately understand the overall quality status of products, timely discover and solve potential quality problems, thereby improving the quality and safety of products. And today, with food safety issues receiving increasing attention, consumers have higher requirements for the quality and safety of food. By presenting the calculated Q3, enterprises can show consumers the comprehensive quality and safety information of products, which helps enhance consumers' trust in products and improve consumers' satisfaction and loyalty.
[0022] Through the combination of three algorithms, the comprehensive food quality evaluation value Q3 calculated covers the comprehensive impacts of multiple aspects including the quality of food raw materials, production processes, production time, shelf life, logistics, warehousing, distribution, and sales. By comparing the comprehensive food quality evaluation value Q3 with the safety threshold Y1, when the comprehensive food quality evaluation value Q3 is lower than the safety threshold Y1, without the need for the market supervision and management department to trace each of the above-mentioned aspects one by one, the problem can be quickly located during the calculation of the comprehensive food quality evaluation value Q3, and manual food quality and safety traceability reviews can be carried out, and effective corrective measures can be taken.
[0023] Please refer to Figure 1 and Figure 2 , the algorithm unit for the basic food quality evaluation value is as follows: ; Where: Q1 represents the basic food quality evaluation value; M represents the raw material quality score, which is a percentage value. The raw material quality is obtained by collecting the raw material quality certification documents and test reports provided by the supplier, and the raw material quality score M is obtained through sampling inspection and evaluation; P represents the production process score, which is a percentage value. The production process score P is obtained based on the evaluation value made by the market supervision and management department on the food processing process; T is the time from the current time to the expiration of the shelf life of the produced food; T max is the total time of the shelf life; k is an adjustment coefficient, and its value range is between 0 and 1. It will be self-adjusted when abnormal fluctuations occur in the basic food quality evaluation value during the quality and safety traceability management of food processing to reflect the real situation of the current product quality; α is an iterative adjustment coefficient, and α is a positive number, which is used to control the influence degree of Q3 on the basic quality evaluation value Q1, and it will also be self-adjusted during the quality and safety traceability management of food processing; Q 3prev represents the comprehensive quality and safety evaluation value of the food produced by the same enterprise last time.
[0024] In this embodiment: The basic food quality evaluation value Q1 calculated through the above algorithm formula is helpful for tracing the root cause of product quality problems in food quality and safety traceability management. When the comprehensive food quality evaluation value of this food is lower than the safety threshold Y1, the problem can be quickly located by analyzing each component of Q1, and effective corrective measures can be taken.
[0025] It should be noted that This part serves as feedback and correction items and is reused as input variables for iteration in the next round of Formula 1 calculation. When the calculated comprehensive food quality assessment value of the enterprise is higher than the safety threshold Y1, in the calculation of the next food basic quality assessment value Q1 of the enterprise, the previously calculated comprehensive food quality assessment value Q 3prev will enter a new round of iterative calculation, and the comprehensive food quality assessment value of the enterprise's new food will also increase accordingly, thus forming a positive feedback loop that can promote the enterprise to continuously improve product quality and process flow.
[0026] Please refer to Figure 1 and Figure 2 , and the food safety detection value algorithm unit is as follows: ; Where: Q2 represents the food safety detection value; Q1 represents the basic quality assessment value of the food, which is calculated by the basic food quality assessment value algorithm unit and serves as an input parameter for the food safety detection value algorithm unit; R represents the completeness rate of traceability information, with a value range of 0 to 1, indicating the coverage rate and accuracy of traceability information. Through information technology means, foods are encoded and identified, including information collection on product batches, production dates, production factories, production lines, raw material suppliers, circulation, and sales. For each piece of food information that is not collected, the corresponding value of R will decrease; D represents the detection score value of the processed food, indicating the comprehensive score of the results of various detections on the product. This is a relatively mature existing technology in the field of food detection and will not be elaborated here. The detection score value of the processed food obtained after decoding in the data processing module is also between 0 and 1.
[0027] In this embodiment: By substituting the food basic quality assessment value Q1 calculated in Formula 1 into Algorithm Formula 2, the calculated food safety detection value Q2 directly reflects the capabilities and levels of food processing enterprises in terms of quality and safety traceability and detection. The market supervision and management department can evaluate the quality and safety traceability and detection work of enterprises by comparing the Q2 values at different times or of different enterprises, providing data support for the improvement and enhancement of enterprises; and in the quality and safety traceability management of food processing, the Q2 value is an important reference indicator. Enterprises can identify weak links and potential risk points in quality and safety traceability and detection based on the composition and scoring of the parameters for calculating the Q2 value in Algorithm 2, and thus formulate targeted improvement measures and emergency plans, which helps enterprises improve their ability to respond to food safety emergencies and ensure product quality and consumer safety.
[0028] Please refer to Figure 1 and Figure 2 , the algorithm unit for the comprehensive food quality evaluation value is as follows: ; Where: Q 3 represents the comprehensive quality of the food; Q 1 represents the basic quality evaluation value, which is calculated by the food basic quality evaluation value algorithm unit and serves as an input parameter for Formula Two; Q 2 represents the food safety detection value, which is calculated by the food safety detection value algorithm unit and serves as an input parameter for the food comprehensive quality evaluation value algorithm unit; F represents the market feedback score value, indicating the satisfaction of consumers with the product, which is a percentage value between 0 and 1. The specific algorithm is as follows: ; Where: F represents the market feedback score value; H represents the customer satisfaction score, reflecting the satisfaction degree of customers with the food. The value range is from 0 to 100, where 100 indicates that customers are very satisfied and 0 indicates that customers are very dissatisfied, and it is obtained through market research; I represents the product sales growth rate, which is the sales growth situation of the product in the market compared with the previous quarter; For example: When the customer satisfaction score H is 85, it means that most customers are relatively satisfied with the product or service, but there is still room for improvement; When the product sales growth rate I is 15%, substituting it into the formula and rounding to two decimal places, we get F = 91.15%; It should be noted that the square root is used here to buffer the impact of the sales growth rate on the market feedback score value F. When the product sales growth rate I is small, the growth rate of the square root is slow, and the impact on the market feedback score value F is small; When I is large, the growth rate of the square root accelerates, resulting in a significant increase in the market feedback score value F, reflecting the positive impact of sales growth on the market feedback score value F; Market feedback can reflect consumers' recognition and satisfaction with the product, and the market feedback score value F, as the numerator in the algorithm formula, will also have a positive feedback on the food comprehensive quality evaluation value Q3. The higher its value, the higher the food comprehensive quality evaluation value Q3; S represents the regulatory inspection score value, indicating the inspection result score of the government and food industry organizations, which is a percentage value between 0 and 1. The specific algorithm is as follows: ; Wherein: S represents the regulatory inspection score value; C represents the enterprise compliance score value, which is the degree to which the enterprise meets laws, regulations, industry standards and internal regulations in various production activities, product quality, safety management, etc. when being inspected by the food safety department. The value range of C is from 0 to 100, where 100 represents full compliance and 0 represents full non-compliance. The specific value is obtained from the inspection report of the food safety department; V represents the enterprise violation degree value, with a value range of 0 to 100. 0 indicates no violation events or extremely minor violation events, and 100 indicates extremely serious violation events, which is obtained from the inspection report of the food safety department; The square root is used here to smooth the impact of the severity of violation events on the regulatory inspection score value S. When the enterprise violation degree value V is small, the growth rate of the square root is slow, representing a decrease in the sensitivity of the regulatory inspection score value S to minor violations; When the enterprise violation degree value V is large, the growth rate of the square root accelerates, resulting in a significant decrease in the regulatory inspection score value S to reflect the impact of serious violations on the enterprise's production.
[0029] It should be noted that in the formula calculation of the food comprehensive quality evaluation value algorithm unit: This part serves as the denominator in the algorithm formula. When the regulatory inspection result is good, that is, the regulatory inspection score value S is close to 1, making the denominator close to 1, thereby improving the calculated comprehensive quality Q3 of the food; When the regulatory inspection result is poor, that is, the regulatory inspection score value S is close to 0, making the denominator close to 2, and the increase in the denominator will reduce the calculated comprehensive quality Q3 of the food.
[0030] In this embodiment: By substituting the basic quality evaluation value Q1 calculated in Formula 1 and the food safety detection value Q2 calculated in Formula 2 into Formula 3, and calculating the comprehensive quality value Q3 of the food in combination with multiple factors such as market feedback and regulatory inspection, a comprehensive and objective product quality and safety evaluation system is formed. Through this system, enterprises can more accurately understand the overall quality status of products, timely discover and solve potential quality problems, thereby improving the quality and safety of products.
[0031] Today, with the increasing attention to food safety issues, consumers have higher requirements for the quality and safety of food. By presenting the calculated Q3, enterprises can show consumers the comprehensive quality and safety information of products, which helps to enhance consumers' trust in products and improve consumers' satisfaction and loyalty.
[0032] Through the combination of three algorithms, the comprehensive food quality evaluation value Q3 calculated covers the comprehensive impacts of multiple links such as the quality of food raw materials, production processes, production time, shelf life, logistics, warehousing, distribution, and sales. By comparing the comprehensive food quality evaluation value Q3 with the safety threshold Y1, when the comprehensive food quality evaluation value Q3 is lower than the safety threshold Y1, without the need for the market supervision and management department to trace each of the above-mentioned links one by one, the problem can be quickly located during the calculation of the comprehensive food quality evaluation value Q3, and manual food quality and safety traceability review can be carried out to take effective corrective measures.
[0033] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A quality safety traceability management method for food processing, characterized in that: The following steps are involved: The food information collection module collects the raw material quality certification documents and food test reports provided by suppliers, obtains the food production date, shelf life and production process score, and obtains the raw material quality score M through sampling and testing evaluation; Through information technology, food is coded and labeled to obtain food traceability information; Upload to the database together; The data information uploaded to the database is decoded and preprocessed by the data preprocessing decoding module to obtain the parameters involved in the calculation in the calculation processing module; Substitute the parameters into the food basic quality assessment value algorithm unit in the calculation processing module, and calculate the remaining shelf life of the food by calculating the shelf life, production date and the time from the current time to the expiration of the shelf life of the produced food. This part of the proportion directly reflects the freshness of the food. The basic food quality assessment value Q1 is calculated by this part of the proportion and the raw material quality score obtained by sampling and testing. The basic food quality assessment value Q1 is input as an input parameter into the food safety detection value algorithm unit in the calculation processing module, and the food safety detection value Q2 is calculated by combining the food traceability information and the detection score, two food quality and safety information; Substitute the basic food quality assessment value Q1 and the food safety test value Q2 into the food comprehensive quality assessment value algorithm unit, combine the market feedback score value and the regulatory inspection score value, two objective food quality influencing factors, to calculate the comprehensive quality assessment value Q3 of different foods and different foods of different enterprises and upload it to the database of traceability management data; Food safety traceability management is carried out through the traceability management module.
2. A quality safety traceability management method for food processing according to claim 1, characterized in that: The safety traceability management in the traceability management module specifically includes: The safety threshold of the comprehensive food quality assessment value is set as Y1 in the database, and the calculated comprehensive food quality assessment values Q3 of different foods and different foods of different enterprises are compared with the safety threshold Y1; When the comprehensive quality assessment value Q3 of the food produced by the enterprise is higher than the safety threshold Y1, production is allowed; When the comprehensive quality assessment value Q3 of the food produced by the enterprise is lower than the safety threshold Y1, production will be stopped and the Market Bureau will conduct a manual food quality and safety traceability review; Feedback and adjustment: when the calculated comprehensive food quality assessment value Q3 produced by the enterprise is higher than the safety threshold Y1, in the enterprise's next comprehensive food quality assessment value calculation, the last calculated comprehensive food quality assessment value will enter a new round of iterative calculation, and the comprehensive food quality assessment value of the enterprise's new food will also be improved accordingly, thus forming a positive feedback loop and promoting the enterprise to continuously improve product quality and process flow.
3. A quality safety traceability management method for food processing according to claim 2, characterized in that: The food processing quality safety traceability management method is operated by an information collection module, a data processing module, a calculation processing module and a traceability management module.
4. A quality safety traceability management method for food processing according to claim 3, characterized in that: The calculation and processing module includes a food basic quality assessment value algorithm unit, a food safety detection value algorithm unit and a food comprehensive quality assessment value algorithm unit.
5. A quality safety traceability management method for food processing according to claim 4, characterized in that: The food basic quality assessment value algorithm unit is as follows: ; in: Q1 represents the basic quality assessment value of food. M represents the raw material quality score; P represents the production process score; T is the time from the current time to the expiration of the shelf life of the produced food; T max is the total shelf life; k is the adjustment factor; α is the iterative adjustment coefficient; Q 3prev Represents the comprehensive quality and safety assessment value of the food produced and processed by the same enterprise last time; In the calculation formula: This part is the correction item of the calculation of the basic quality assessment value Q1 of the food. It is used to feedback the influence of the comprehensive quality assessment value Q3 of the food calculated by the factory on the calculation of the basic quality assessment value Q1 of the food this time. The square root of the comprehensive quality assessment value Q3 of the food calculated by the previous food is processed to ease the calculation. The degree of influence of this part of correction items on the basic food quality assessment value Q1 calculated by the formula.
6. A quality safety traceability management method for food processing according to claim 5, characterized in that: The food safety detection value algorithm unit is as follows: ; in: Q2 represents the food safety test value; Q1 represents the basic quality assessment value of food; R represents the completeness rate of traceability information; D represents the test score of the processed food; In the calculation formula: This part indicates the influence of the completeness rate R of traceability information on the food safety test value Q2. As the completeness rate R of traceability information increases, the value of the calculated food safety test value Q2 will also increase. This part is square root processed to mitigate the influence of the completeness rate R of the traceability information on the food safety test value Q2 calculated by the formula.
7. A quality safety traceability management method for food processing according to claim 6, characterized in that: The food comprehensive quality assessment value algorithm unit is as follows: ; in: Q3 represents the overall quality of food; Q1 represents the basic quality assessment value; Q2 represents the food safety test value; F represents the market feedback score; S represents the regulatory inspection score value; In the calculation formula: This part is used as the denominator in the algorithm formula. When the supervision and inspection results are good, that is, the supervision and inspection score S is close to 1, the denominator is close to 1, thereby improving the calculated comprehensive quality of the food Q3; When the supervision and inspection results are poor, that is, the supervision and inspection score S is close to 0, the denominator is close to 2. The increase in the denominator will reduce the calculated comprehensive quality Q3 of the food.
8. A quality safety traceability management method for food processing according to claim 2, characterized in that: The safety threshold Y1 of the comprehensive food quality assessment value is set at 70% in the database.
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