Food safety management system

Abstract

The invention discloses a food safety management system, and belongs to the technical field of food safety management. Different warehousing data of different instant foods of each batch are integrated and calculated, and local warehousing influence coefficients obtained through calculation are analyzed and classified, so that local warehousing influence conditions of warehousing of the instant foods of the batch can be obtained; reliable local data support can be provided for subsequent periodic analysis of the overall warehousing influence condition of convenient food warehousing; according to the method, local warehousing influence analysis data of different warehousing batches in the early stage are integrated and utilized, and a corresponding overall abnormal warehousing influence coefficient is obtained and analyzed by implementing periodic integration calculation, so that the overall abnormal warehousing influence condition of the instant food in a monitoring period can be timely and comprehensively obtained; the method is used for solving the technical problems that in an existing scheme, the mode of convenient food warehousing data supervision is single, and the mode of active safety management and control is single.

Description

Technical Field

[0001] The present invention relates to the technical field of food safety management, and in particular to a food safety management system. Background Art

[0002] Convenience foods generally refer to foods that are easy to store, prepare and eat, and usually have a long shelf life; these foods can be canned foods, instant products, frozen foods or ready-to-eat foods, and are designed to provide people with quick and convenient eating options and can meet people's dietary needs in various situations.

[0003] In the existing convenience food safety management, there is no multi-dimensional data recording and active verification analysis implemented in terms of food warehousing, and no active data expansion analysis and utilization is implemented for the impact of local abnormal warehousing of different batches of different convenience foods and the overall warehousing impact of different convenience foods in different cycles. Instead, it only uses single data recording and static data display, resulting in a single method of convenience food warehousing data supervision and a single method of active safety management. Summary of the Invention

[0004] The purpose of the present invention is to provide a food safety management system to solve the technical problems of the single method of convenience food storage data supervision and the single method of active safety management in the existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A food safety management system comprising: The convenience food in-and-out information monitoring and recording module is used to implement multi-dimensional data recording and data analysis on the in-and-out information of different convenience foods of the same batch and the verification personnel to obtain the corresponding in-and-out change monitoring table and upload it to the in-and-out management database in real time; The convenience food inventory impact assessment module is used to conduct abnormal entry assessments in different dimensions for each batch of different types of convenience food entering the warehouse, and dynamically control the management of subsequent convenience food entry based on the abnormal entry assessment results in different dimensions; Among them, abnormal inventory entry assessments in different dimensions include local abnormal inventory entry assessments of different batches, as well as periodic overall abnormal inventory entry assessments.

[0006] Preferably, when monitoring and collecting statistics on the storage of the same batch of convenience foods, the start and end time points of the storage of different convenience foods are obtained, and the different convenience foods are numbered and marked according to the order of the storage time; Obtain the food type, corresponding incoming weight, and incoming verification personnel of the convenience food, traverse and match the name of the convenience food with the electronic incoming order data of the same batch in the incoming management database to obtain the standard incoming weight corresponding to the convenience food name, compare the incoming weight of the convenience food with the standard incoming weight and classify it to obtain a normal incoming weight label or an abnormal incoming weight label; The normal weight labels or abnormal weight labels corresponding to all the convenience foods in this batch constitute the first incoming monitoring and analysis data.

[0007] Preferably, the instant food is scanned when entering the warehouse to obtain the corresponding food brand, production time and shelf life, and the food brand is traversed and matched with the standard food brand table in the warehouse management database; If the food brand exists in the standard food brand table, a valid label for the incoming brand is generated, and the time difference between the production time of the corresponding convenience food and the real-time Beijing time is calculated and analyzed based on the valid label for the incoming brand. If the time difference of the convenience food is less than Y% of the shelf life, a valid incoming quality label is generated, where Y is a real number greater than zero and less than one hundred; If the time difference of the convenience food is not less than Y% of the shelf life, a first incoming quality invalid label will be generated and the corresponding incoming verification personnel will be prompted to conduct verification management; If the food brand does not exist in the standard food brand table, a second invalid incoming quality label will be generated and the corresponding incoming verification personnel will be prompted to conduct verification management; The valid incoming quality labels or the first invalid incoming quality labels and the second invalid incoming quality labels corresponding to all the incoming convenience foods of this batch constitute the second incoming monitoring and analysis data.

[0008] Preferably, when monitoring and counting the outbound delivery of different convenience foods, the name of the convenience food, the outbound quantity, the corresponding outbound operator, and the outbound operation time point are obtained each time a different convenience food is outbound; The name of the convenience food, the quantity shipped out, the corresponding shipping operator and the shipping operation time point constitute the shipping monitoring data; All incoming convenience foods are arranged in order of their incoming numbers and their associated incoming start and end time points, food types, corresponding incoming weights and incoming verification personnel, the first incoming monitoring and analysis data, the second incoming monitoring and analysis data, and all outgoing monitoring data are combined to obtain an incoming and outgoing change monitoring table.

[0009] Preferably, when implementing a local abnormal entry assessment based on the entry and exit change monitoring table, all first entry monitoring and analysis data and second entry monitoring and analysis data corresponding to each batch of convenience food entering the warehouse are obtained and traversed separately, the total number of abnormal entry weight labels appearing in all first entry monitoring and analysis data is counted, and different abnormal entry weight labels are marked as i, i=1, 2, 3, ..., n; n is a positive integer; and the total number of first invalid entry quality labels and second invalid entry quality labels appearing in all first entry monitoring and analysis data are counted, and different first invalid entry quality labels and second invalid entry quality labels are marked as j and k respectively, j=1, 2, 3, ..., m; m is a positive integer; k=1, 2, 3, ..., p; p is a positive integer; Obtain the food types of convenience foods corresponding to different abnormal labels, digitize the food types to obtain the corresponding food weights; obtain the storage weights of convenience foods corresponding to different abnormal labels; and calculate the local abnormal storage impact coefficient η corresponding to all convenience foods stored in this batch through the local abnormal storage evaluation formula.

[0010] Preferably, the local abnormal storage evaluation formula is: ; In the formula, α1, α2, and α3 are all different error correction factors, and 0<α1<α2<α3, α1+α2+α3=1; SQi, SQj, and SQk are the food weights corresponding to different abnormal incoming weight labels, the food weights corresponding to the first invalid incoming quality label, and the food weights corresponding to the second invalid incoming quality label, respectively; SZi, SZj, and SZk are the incoming weights corresponding to different abnormal incoming weight labels, the incoming weights corresponding to the first invalid incoming quality label, and the incoming weights corresponding to the second invalid incoming quality label, respectively; SZi0, SZj0, and SZk0 are the standard assessment weights corresponding to different abnormal incoming weight labels, the standard assessment weights corresponding to the first invalid incoming quality label, and the standard assessment weights corresponding to the second invalid incoming quality label, respectively.

[0011] Preferably, the local abnormal warehousing impact coefficient is compared and classified with the preset local abnormal warehousing impact range to obtain local warehousing impact analysis data consisting of local warehousing normal labels, local warehousing abnormal labels or local warehousing severe abnormal labels, and the labels in the local warehousing impact analysis data and the corresponding local abnormal warehousing impact coefficients and warehousing batches are associated and stored.

[0012] Preferably, when implementing the overall abnormal inventory assessment based on the inventory change monitoring table, all local inventory impact analysis data within the monitoring period are obtained and traversed according to the inventory change monitoring table, and the total number of first abnormal labels and the total number of second abnormal labels that appear in the local inventory mild abnormal labels and local inventory severe abnormal labels are counted; the overall abnormal inventory impact coefficient β corresponding to all convenience foods that entered the warehouse during the monitoring period is obtained by calculating the overall abnormal inventory assessment formula.

[0013] Preferably, the overall abnormal inventory evaluation formula is: ;Where, B0 is the total number of normal local storage tags that appear during the monitoring period; Preferably, if the overall abnormal warehousing impact coefficient is greater than a preset overall abnormal warehousing impact coefficient threshold, a strong overall warehousing impact label is generated and a superior supervisor is prompted to intervene; Otherwise, the existing internal supervisory personnel supervision plan will be maintained to carry out supervision and processing.

[0014] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention records and analyzes the data of convenience foods entering the warehouse from different dimensions, so as to record and supervise the subsequent use of convenience foods at the source, avoid abnormal convenience foods from entering and being used in schools, and record and store the usage data of each batch of convenience foods at the same time, so as to provide reliable data support for the subsequent traceability and purchase arrangement of convenience foods, thereby improving the reliability of data recording of convenience foods entering the warehouse and the diversity of mining and analysis of the entering data.

[0015] The present invention integrates and calculates different warehousing data of different convenience foods of each batch, and analyzes and classifies the local warehousing impact coefficients obtained by calculation. This can not only obtain the local warehousing impact of the convenience foods of this batch, but also provide reliable local data support for the overall warehousing impact analysis of subsequent periodic convenience foods, thereby improving the initiative of expanding the existing batch warehousing record data and the diversity of subsequent utilization.

[0016] The present invention integrates and utilizes the local warehousing impact analysis data of different warehousing batches in the early stage, and obtains the corresponding overall abnormal warehousing impact coefficient and analyzes it through periodic integration calculation. It can timely and comprehensively obtain the overall abnormal warehousing impact of convenience foods within the monitoring period, and at the same time provide reliable data support for the active intervention control of managers at different levels, thereby improving the flexibility and initiative of convenience food safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below with reference to the accompanying drawings.

[0018] Figure 1 This is a module block diagram of a food safety management system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described 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 operation and maintenance personnel in this field without making any creative efforts are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, the present invention is a food safety management system, including a convenience food in-and-out information monitoring and recording module, a convenience food inventory impact assessment module and a warehousing management database; The convenience food in-and-out information monitoring and recording module is used to implement multi-dimensional data recording and data analysis on the in-and-out information of different convenience foods in the same batch and the verification personnel to obtain the corresponding in-and-out change monitoring table and upload it to the in-and-out management database in real time; it includes: When monitoring and collecting statistics on the storage of the same batch of convenience foods, obtain the start and end time points of the storage of different convenience foods, and number and mark the different convenience foods according to the order of storage time; The application scenario in the embodiment of the present invention is a school cafeteria, and the convenience foods specifically include various instant food products and frozen foods. Obtain the food type, corresponding incoming weight, and incoming verification personnel of the convenience food entering the warehouse. Then, traverse and match the name of the convenience food with the electronic incoming order data of the same batch in the incoming management database to obtain the standard incoming weight corresponding to the convenience food name and compare and judge. If the incoming weight of the convenience food is the same as the standard incoming weight, a normal incoming weight label will be generated. Based on the normal incoming weight label, the corresponding incoming verification personnel will implement the normal incoming weight verification label for the incoming convenience food. If the incoming weight of the convenience food is different from the standard incoming weight, an incoming weight abnormality label will be generated and the corresponding incoming verification personnel will be prompted to verify and record the remarks; The normal weight labels or abnormal weight labels corresponding to all incoming convenience foods of this batch constitute the first incoming monitoring and analysis data; In the embodiment of the present invention, by recording data on the weight of convenience foods entering the warehouse and comparing and analyzing whether the weight of the convenience foods entering the warehouse is normal, reliable data support can be provided for the normal use of the convenience foods and the subsequent purchase schedule. At the same time, the standardization of the weight of the convenience foods entering the warehouse can be improved, avoiding the problem of abnormal quantity or weight use of the convenience foods after subsequent use and the inability to conduct traceability management. When convenience foods enter the warehouse, they are scanned to obtain the corresponding food brand, production time point and shelf life, and the food brand is traversed and matched with the standard food brand table in the warehouse management database; the standard food brand table contains several pre-stored food brands, which can be based on conventional brands corresponding to existing food fields, or can be pre-specified based on actual application needs; If the food brand exists in the standard food brand table, a valid label for the incoming brand is generated, and the time difference between the production time of the corresponding convenience food and the real-time Beijing time is calculated and analyzed based on the valid label for the incoming brand. If the time difference of the convenience food is less than Y% of the shelf life, a valid quality label for incoming goods is generated. Y is a real number greater than zero and less than 100. The value of Y can be 90. If the time difference of the convenience food is not less than Y% of the shelf life, a first incoming quality invalid label will be generated and the corresponding incoming verification personnel will be prompted to conduct verification management. The specific problem here is that the food is nearing its expiration date; If the food brand does not exist in the standard food brand table, a second invalid incoming quality label will be generated and the corresponding incoming verification personnel will be prompted to conduct verification management; the specific problem here is that the corresponding food is an unbranded food or an unlicensed brand food; The valid incoming quality labels or the first invalid incoming quality labels and the second invalid incoming quality labels corresponding to all incoming convenience foods of this batch constitute the second incoming monitoring and analysis data; In an embodiment of the present invention, by implementing data recording from the aspects of the production time of convenience food entering into storage and the food brand, and comparing and analyzing whether the production time of convenience food entering into storage and the food brand are normal, the diversity and reliability of the supervision of convenience food safety at the source of entry into storage can be effectively improved, and food safety problems can be avoided after the subsequent use of abnormal convenience foods.

[0021] When monitoring and collecting statistics on the delivery of different convenience foods, obtain the name of the convenience food, the delivery quantity, the corresponding delivery operator, and the delivery operation time point for each delivery of different convenience foods; The name of the convenience food, the quantity shipped out, the corresponding shipping operator and the shipping operation time point constitute the shipping monitoring data; All incoming convenience foods are arranged in order of their incoming numbers and their associated incoming start and end times, food types, corresponding incoming weights, incoming verification personnel, first incoming monitoring and analysis data, second incoming monitoring and analysis data, and all outgoing monitoring data are combined to obtain an incoming and outgoing change monitoring table; In the embodiment of the present invention, by implementing data recording and analysis and judgment on the warehousing of convenience foods from different dimensions, it is possible to record and supervise the subsequent use of convenience foods at the source, avoid abnormal convenience foods from entering and being used in schools, and at the same time record and store the usage data of each batch of convenience foods, which can provide reliable data support for the subsequent traceability and purchase arrangements of convenience foods, thereby improving the reliability of data recording for the warehousing of convenience foods and the diversity of mining and analysis of warehousing data.

[0022] The convenience food inventory impact assessment module is used to perform abnormal entry assessments in different dimensions for each batch of different types of convenience food entering the warehouse, and dynamically control the management of subsequent convenience food entry based on the abnormal entry assessment results in different dimensions; it includes: When implementing a local abnormal entry assessment based on the entry and exit change monitoring table, all first entry monitoring and analysis data and second entry monitoring and analysis data corresponding to each batch of convenience food entering the warehouse are obtained and traversed separately, the total number of abnormal entry weight labels appearing in all first entry monitoring and analysis data is counted, and different abnormal entry weight labels are marked as i, i=1, 2, 3, ..., n; n is a positive integer; as well as the total number of first invalid entry quality labels and second invalid entry quality labels appearing in all first entry monitoring and analysis data, and different first invalid entry quality labels and second invalid entry quality labels are marked as j and k respectively, j=1, 2, 3, ..., m; m is a positive integer; k=1, 2, 3, ..., p; p is a positive integer; Obtain the food type of the convenience food corresponding to different abnormal labels, and digitize the food type to obtain the corresponding food weight; specifically, traverse and match the food type with the food type weight table pre-stored in the storage management database to obtain the corresponding food weight. The food type weight table consists of several different food types and corresponding food weights. Different food types are pre-set with a corresponding food weight. The specific value of the food weight can be determined based on the value of the food or the shelf life of the food; the food weight is used to digitize and differentiate the food type; Obtain the incoming weight of convenience foods corresponding to different abnormal labels; calculate the local abnormal incoming impact coefficient η corresponding to all convenience foods in this batch through the local abnormal incoming evaluation formula; the local abnormal incoming evaluation formula is ; In the formula, α1, α2, and α3 are all different error correction factors, and 0<α1<α2<α3, α1+α2+α3=1; SQi, SQj, and SQk are the food weights corresponding to different abnormal incoming weight labels, the food weights corresponding to the first invalid incoming quality label, and the food weights corresponding to the second invalid incoming quality label, respectively; SZi, SZj, and SZk are the incoming weights corresponding to different abnormal incoming weight labels, the incoming weights corresponding to the first invalid incoming quality label, and the incoming weights corresponding to the second invalid incoming quality label, respectively; SZi0, SZj0, and SZk0 are the standard assessment weights corresponding to different abnormal incoming weight labels, the standard assessment weights corresponding to the first invalid incoming quality label, and the standard assessment weights corresponding to the second invalid incoming quality label, respectively; It should be noted that the local abnormal warehousing impact coefficient is a value used to analyze the impact of local abnormal warehousing on the same batch of convenience foods by integrating and calculating different aspects of the warehousing data of different convenience foods. The larger the local abnormal warehousing impact coefficient, the greater the negative impact of the warehousing of the convenience foods corresponding to that batch. Compare and classify the impact coefficient of local abnormal warehousing with the preset impact range of local abnormal warehousing [η1, η2]; η1 < η2, and the impact range of local abnormal warehousing is determined according to the design requirement parameters of actual warehousing; If η<η1, a normal label for local storage is generated; If η1≤η<η2, a minor abnormality label for local warehousing is generated and the internal supervisor is prompted to intervene. The internal supervisor can be the canteen manager responsible for food safety. If η ≥ η 2 , a local storage severe abnormality label is generated and a supervisor is prompted to intervene; the supervisor can be the school's food safety manager. Compared with the defect of existing technical solutions that can only passively manage food safety issues after they occur, the embodiment of the present invention can achieve more proactive and efficient food safety prevention and management effects; The local warehousing normal label, local warehousing abnormal label or local warehousing severe abnormal label constitutes the local warehousing impact analysis data, and the label in the local warehousing impact analysis data and the corresponding local abnormal warehousing impact coefficient are associated with the warehousing batch. In an embodiment of the present invention, by integrating and calculating different warehousing data of different convenience foods of each batch, and analyzing and classifying the local warehousing impact coefficients obtained by calculation, it is possible to obtain the local warehousing impact of the convenience foods of this batch, and provide reliable local data support for the overall warehousing impact analysis of subsequent periodic convenience foods, thereby improving the initiative of expanding the existing batch warehousing record data and the diversity of subsequent utilization.

[0023] When implementing the overall abnormal entry assessment based on the entry and exit change monitoring table, all local entry impact analysis data within the monitoring period are obtained and traversed based on the entry and exit change monitoring table. The unit of the monitoring period is month, specifically three months, and the total number of first abnormal labels and second abnormal labels that appear in the local entry mild abnormal labels and local entry severe abnormal labels are counted; the overall abnormal entry impact coefficient β corresponding to all convenience foods entered during the monitoring period is calculated through the overall abnormal entry assessment formula; the overall abnormal entry assessment formula is ;Where, B0 is the total number of normal local storage tags that appear during the monitoring period; If the overall abnormal inventory impact coefficient is greater than the preset overall abnormal inventory impact coefficient threshold, a strong overall inventory impact label is generated and the superior supervisor is prompted to intervene. The overall abnormal inventory impact coefficient threshold can also be determined based on the actual inventory design requirement parameters. Otherwise, the existing internal supervisory personnel supervision plan will be maintained to carry out supervision and processing.

[0024] In an embodiment of the present invention, by integrating and utilizing the local warehousing impact analysis data of different warehousing batches in the early stage, and implementing periodic integrated calculations to obtain the corresponding overall abnormal warehousing impact coefficient and analyze it, the overall abnormal warehousing impact of convenience foods within the monitoring period can be obtained in a timely and comprehensive manner. At the same time, it can also provide reliable data support for the active intervention control of managers at different levels, thereby improving the flexibility and initiative of convenience food safety management.

[0025] In addition, the formulas involved in the above are all calculated by removing dimensions and taking their numerical values. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it through simulation software.

[0026] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative. For example, the division of modules is only a logical function division, and other division methods may be used in actual implementation.

[0027] Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, and may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected to achieve the objectives of this embodiment based on actual needs.

[0028] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or hardware plus software functional modules.

[0029] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic characteristics of the present invention.

[0030] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in this field should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A food safety management system, characterized in that: It includes a convenience food in-and-out information monitoring and recording module, which is used to implement multi-dimensional data recording and data analysis on the in-and-out information of different convenience foods of the same batch and the verification personnel to obtain the corresponding in-and-out change monitoring table and upload it to the in-warehouse management database in real time; The convenience food inventory impact assessment module is used to conduct abnormal entry assessments in different dimensions for each batch of different types of convenience food entering the warehouse, and dynamically control the management of subsequent convenience food entry based on the abnormal entry assessment results in different dimensions; Among them, abnormal inventory entry assessments in different dimensions include local abnormal inventory entry assessments of different batches, as well as periodic overall abnormal inventory entry assessments.

2. A food safety management system according to claim 1, characterized in that: When monitoring and collecting statistics on the storage of the same batch of convenience foods, obtain the start and end time points of the storage of different convenience foods, and number and mark the different convenience foods according to the order of storage time; Obtain the food type, corresponding incoming weight, and incoming verification personnel of the convenience food, traverse and match the name of the convenience food with the electronic incoming order data of the same batch in the incoming management database to obtain the standard incoming weight corresponding to the convenience food name, compare the incoming weight of the convenience food with the standard incoming weight and classify it to obtain a normal incoming weight label or an abnormal incoming weight label; The normal weight labels or abnormal weight labels corresponding to all the convenience foods in this batch constitute the first incoming monitoring and analysis data.

3. A food safety management system according to claim 2, characterized in that: Scan the convenience food when it enters the warehouse to obtain the corresponding food brand, production time and shelf life, and traverse and match the food brand with the standard food brand table in the warehouse management database; If the food brand exists in the standard food brand table, a valid label for the incoming brand is generated, and the time difference between the production time of the corresponding convenience food and the real-time Beijing time is calculated and analyzed based on the valid label for the incoming brand. If the time difference of the convenience food is less than Y% of the shelf life, a valid incoming quality label is generated, where Y is a real number greater than zero and less than 100; if the time difference of the convenience food is not less than Y% of the shelf life, a first invalid incoming quality label is generated and the corresponding incoming verification personnel are prompted to conduct verification management; if the food brand does not exist in the standard food brand table, a second invalid incoming quality label is generated and the corresponding incoming verification personnel are prompted to conduct verification management; The valid incoming quality labels or the first invalid incoming quality labels and the second invalid incoming quality labels corresponding to all the incoming convenience foods of this batch constitute the second incoming monitoring and analysis data.

4. A food safety management system according to claim 3, characterized in that: When monitoring and collecting statistics on the delivery of different convenience foods, obtain the name of the convenience food, the delivery quantity, the corresponding delivery operator, and the delivery operation time point for each delivery of different convenience foods; The name of the convenience food, the quantity shipped out, the corresponding shipping operator and the shipping operation time point constitute the shipping monitoring data; All incoming convenience foods are arranged in order of their incoming numbers and their associated incoming start and end time points, food types, corresponding incoming weights and incoming verification personnel, the first incoming monitoring and analysis data, the second incoming monitoring and analysis data, and all outgoing monitoring data are combined to obtain an incoming and outgoing change monitoring table.

5. A food safety management system according to claim 4, characterized in that: When implementing a local abnormal entry assessment based on the entry and exit change monitoring table, obtain all the first entry monitoring and analysis data and the second entry monitoring and analysis data corresponding to each batch of convenience food entering the warehouse and traverse them separately, count the total number of abnormal entry weight labels appearing in all the first entry monitoring and analysis data, and mark different abnormal entry weight labels as i, where i = 1, 2, 3, ..., n; n is a positive integer; The total number of invalid first incoming quality labels and the total number of invalid second incoming quality labels appearing in all first incoming monitoring and analysis data are marked as j and k, respectively, where j = 1, 2, 3, ..., m; m is a positive integer; k=1, 2, 3, ..., p; p is a positive integer; Obtain the food types of convenience foods corresponding to different abnormal labels, digitize the food types to obtain the corresponding food weights; obtain the storage weights of convenience foods corresponding to different abnormal labels; and calculate the local abnormal storage impact coefficient η corresponding to all convenience foods stored in this batch through the local abnormal storage evaluation formula.

6. A food safety management system according to claim 5, characterized in that: The evaluation formula for local abnormal storage is: ; In the formula, α1, α2, and α3 are all different error correction factors, and 0<α1<α2<α3, α1+α2+α3=1; SQi, SQj, and SQk are the food weights corresponding to different abnormal incoming weight labels, the food weights corresponding to the first invalid incoming quality label, and the food weights corresponding to the second invalid incoming quality label, respectively; SZi, SZj, and SZk are the incoming weights corresponding to different abnormal incoming weight labels, the incoming weights corresponding to the first invalid incoming quality label, and the incoming weights corresponding to the second invalid incoming quality label, respectively; SZi0, SZj0, and SZk0 are the standard assessment weights corresponding to different abnormal incoming weight labels, the standard assessment weights corresponding to the first invalid incoming quality label, and the standard assessment weights corresponding to the second invalid incoming quality label, respectively.

7. A food safety management system according to claim 5, characterized in that: According to the comparison and classification of the local abnormal warehousing impact coefficient and the preset local abnormal warehousing impact range, the local warehousing impact analysis data consisting of local warehousing normal labels, local warehousing abnormal labels or local warehousing severe abnormal labels are obtained, and the labels in the local warehousing impact analysis data and the corresponding local abnormal warehousing impact coefficients and warehousing batches are associated and stored.

8. A food safety management system according to claim 7, characterized in that: When implementing the overall abnormal inventory assessment based on the inventory change monitoring table, all local inventory impact analysis data within the monitoring period are obtained and traversed according to the inventory change monitoring table, and the total number of first abnormal labels and second abnormal labels that appear in local inventory mild abnormal labels and local inventory severe abnormal labels are counted; the overall abnormal inventory impact coefficient β corresponding to all convenience foods that entered the warehouse during the monitoring period is calculated through the overall abnormal inventory assessment formula.

9. A food safety management system according to claim 8, characterized in that: The overall abnormal inventory evaluation formula is: ; Where B0 is the total number of normal local storage tags that appear during the monitoring period.

10. A food safety management system according to claim 8, characterized in that: If the overall abnormal inventory impact coefficient is greater than the preset overall abnormal inventory impact coefficient threshold, a strong overall inventory impact label will be generated and the superior supervisor will be prompted to intervene; Otherwise, the existing internal supervisory personnel supervision plan will be maintained to carry out supervision and processing.

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