A data processing method and system for food safety risk identification

Abstract

The present invention provides a data processing method and system for food safety risk identification, which belongs to the field of data processing technology, and specifically comprises: utilizing the risk influencing factors of the monitoring target food in different operation links and the historical safety risks of the monitoring target food to determine the monitoring targets in the monitoring target food, determining the suspected risk monitoring targets according to the monitoring data of the monitoring targets in different operation links and the operation sequence of the different operation links, determining the operation correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operation links according to the monitoring data, combining the food safety risks of the suspected risk targets in different operation links, using an AI-based screening model to determine the contamination risk monitoring targets in the monitoring targets, performing early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets, and ensuring the safety of the food.

Description

Technical Field

[0001] The present invention belongs to the field of data technology, and in particular relates to a data processing method and system for identifying food safety risks. Background Art

[0002] In order to ensure the safety and reliability of food materials in logistics, more and more units are adopting a centralized distribution model based on central kitchens. On the basis of improving production efficiency, how to monitor the safety risks of food materials and ensure the safety of food materials has become a technical problem that needs to be solved urgently.

[0003] In order to solve the above technical problems, the invention patent CN201710836101.6 "Food Utilization Supervision Method, System, Storage Medium and Computer Equipment" ensures the availability of food through freshness detection, improves the accuracy of data, compares and determines the difference between the outbound quantity and the usage quantity, understands the utilization of food, and ensures the safety of food. However, it is not difficult to find the following technical problems through analysis:

[0004] The existing technical solutions have neglected to accurately assess the food safety risks based on the full-process flow data of the food. For example, for frozen food, the temperature changes in the storage environment, the storage time, and the usage data after thawing will have a certain degree of impact on the safety of the food. Therefore, if the above factors are not taken into account, it is impossible to accurately assess the food safety risks.

[0005] In response to the above technical problems, the present invention provides a data processing method and system for food safety risk identification. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a data processing method for food safety risk identification is provided.

[0008] In order to solve the above technical problems, the present invention provides a data processing method for food safety risk identification, which is characterized by specifically comprising:

[0009] S1 determines the historical safety risks of different monitored target ingredients according to the historical monitoring data, and uses the historical safety risks to determine whether the monitored and managed ingredients belong to regulatory risk ingredients. If so, proceed to step S3, if not, proceed to the next step;

[0010] S2 determines the monitored risk ingredients among the monitored target ingredients by using the risk influencing factors of the monitored target ingredients in different operation links and the historical safety risks;

[0011] S3: taking the monitored risk food as a monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and when there is a suspected risk monitoring target based on the food safety risk, proceeding to the next step;

[0012] S4 determines the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links based on the monitoring data, and combines the food safety risks of the suspected risk targets in different operating links, and uses an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performs early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets.

[0013] The beneficial effects of the present invention are:

[0014] 1. The risk influencing factors of the target ingredients in different operation links and the historical safety risks are used to determine the risky ingredients among the target ingredients. This not only takes into account the differences in food safety risks caused by the length of the monitoring target, the number of operation links and the difference in risk conditions, but also further considers the historical food conditions of different target ingredients. This ensures the reliability of the screening of risky ingredients and lays the foundation for further differentiated supervision of different ingredients.

[0015] 2. Utilizing the operational correlation coefficients between monitoring targets and suspected risk monitoring targets in different operational links, as well as the food safety risks of suspected risk targets in different operational links, an AI-based screening model is adopted to determine the contamination risk monitoring targets among the monitoring targets, thereby avoiding the technical problem of inaccurate assessment results of food safety risks caused by the original single use of monitoring data and only considering its own safety situation. This achieves the contamination risk monitoring target for food with contamination risks, further ensuring the safety of food.

[0016] A further technical solution is that the monitoring target ingredients are determined based on the analysis results of the historical monitoring data of the back kitchen, specifically, the used ingredients in the back kitchen are determined based on the historical monitoring data of the back kitchen, and the used ingredients are used as the monitoring target ingredients.

[0017] A further technical solution is that, when the monitoring target food material does not belong to the monitoring risk food material, there is no need to monitor the food safety risk of the monitoring target food material.

[0018] A further technical solution is that the method for determining the food safety risk in the operation link is:

[0019] Determine the previous operation link of the operation link according to the operation sequence of the operation link, determine the monitoring images of different previous operation links and monitoring targets of the operation links based on the monitoring data of different previous operation links, and determine the basic security risks of different previous operation links and the operation links according to the monitoring images;

[0020] According to the basic safety risks of different preliminary operation links, the basic safety risks of the operation links are modified to obtain the food safety risks of the operation links.

[0021] A further technical solution is to determine the existence of suspected risk monitoring targets based on the food safety risk, specifically including:

[0022] When the food safety risk of the monitoring target does not meet the requirements, the monitoring target is determined to be a suspected risk monitoring target.

[0023] A further technical solution is that the method for determining the pollution risk monitoring target in the monitoring target is:

[0024] Determine the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links based on the monitoring data, and determine the operational correlation coefficient between the monitoring target and different suspected risk monitoring targets in different operation links through the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links;

[0025] Determine the contamination risk assessment amount of the monitoring target at different operation links according to the operation correlation coefficients at different operation links and the food safety risks of different suspected risk targets at different operation links;

[0026] The comprehensive pollution risk of the monitoring target is determined by using an AI-based screening model based on the pollution risk assessment in different operation links, and the pollution risk monitoring target in the monitoring target is determined based on the comprehensive pollution risk.

[0027] A further technical solution is to determine the pollution risk monitoring target in the monitoring target based on the comprehensive pollution risk, specifically including:

[0028] When the comprehensive pollution risk of the monitoring target is not within the preset pollution risk range, the monitoring target is determined to be a pollution risk monitoring target.

[0029] On the other hand, the present invention provides a data processing system for food safety risk identification, which adopts the above-mentioned data processing method for food safety risk identification, and is characterized in that it specifically includes:

[0030] Safety risk assessment module, risk food screening module, suspected risk target screening module, early warning processing module;

[0031] The safety risk assessment module is responsible for determining the historical safety risks of different monitoring target ingredients based on historical monitoring data, and using the historical safety risks to determine whether the monitored and managed ingredients are regulatory risk ingredients;

[0032] The risky food screening module is responsible for determining the monitored risky food among the monitored target food by using the risk influencing factors of the monitored target food in different operation links and the historical safety risks;

[0033] The suspected risk target screening module is responsible for taking the monitored risk food as the monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and determining whether there is a suspected risk monitoring target based on the food safety risk;

[0034] The early warning processing module is responsible for determining the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links based on the monitoring data, and combining the food safety risks of the suspected risk targets in different operating links, and using an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performing early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets.

[0035] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings;

[0038] Figure 1 is a flow chart of a data processing method for food safety risk identification;

[0039] Figure 2 is a flow chart of a method for monitoring the determination of historical safety risks of a target food ingredient;

[0040] Figure 3 is a flow chart of a method for determining a monitoring risk ingredient in a monitoring target ingredient;

[0041] Figure 4 It is a flow chart of the method for determining food safety risks in the operation stage;

[0042] Figure 5 It is a method to determine the pollution risk monitoring target in the monitoring target

[0043] Figure 6 It is a framework diagram of a data processing system for food safety risk identification. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0045] For frozen ingredients, the temperature changes in the storage environment, the storage time, and the usage data after thawing will have a certain impact on the safety of the ingredients. At the same time, when frozen ingredients deteriorate, they will have a certain impact on the safety of other ingredients stored in the same space. Therefore, it is necessary to comprehensively consider the supervision and contamination of the entire process to achieve an accurate assessment of the food safety risks.

[0046] Specifically, this application evaluates the spoilage risk of frozen ingredients at different links in the entire flow process, and screens other ingredients suspected of being contaminated according to the spoilage risk at different links, thereby outputting other ingredients suspected of being contaminated and ingredients with spoilage risks, thereby ensuring the safety of the ingredients.

[0047] The specific technical solutions are as follows:

[0048] Monitoring and screening of risky food ingredients

[0049] Firstly, the historical safety risks of different monitoring target ingredients are determined according to the historical monitoring data. Specifically, the historical safety risks of the monitoring target ingredients are determined after normalization of the number of deterioration. When the historical safety risks of the monitoring target ingredients do not meet the requirements, they are used as regulatory risk ingredients. The monitoring risk ingredients in the monitoring target ingredients are determined by using the risk influencing factors of the monitoring target ingredients in different operation links and the historical safety risks. Specifically, the influencing factors in different operation links are determined by the number of other ingredients contacted in different operation links. The risk influencing factors are determined according to the weights and sums of the influencing factors in different operation links. Finally, the risk influencing factors and historical safety risks are normalized and the sum is used to determine the comprehensive evaluation amount. The monitoring target ingredients with larger comprehensive evaluation amounts are used as monitoring risk ingredients.

[0050] Screening of suspected risk monitoring targets

[0051] The monitored risk food ingredients are taken as monitoring targets, and the food safety risks of different operation links are determined according to the monitoring data of the monitoring targets in different operation links and the operation sequence of different operation links. Specifically, the safety risks of different operation links are determined according to the monitoring data of different operation links. Finally, the safety risks of the food ingredients of different operation links are determined by combining the safety risks of the preceding operation links of the operation links and the safety risks of the operation links in combination with the sequence of different operation links. When there is a suspected risk monitoring target with a relatively large food safety risk, the next step is entered;

[0052] Warning processing

[0053] The operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links are determined according to the monitoring data. Specifically, the length of time that the monitoring targets are in the same storage space as the suspected risk monitoring targets is used as the operational correlation coefficient. Through the operational correlation coefficient and the food safety risk of the suspected risk targets in different operating links, an AI-based screening model is used to determine the contamination risk monitoring targets among the monitoring targets. Specifically, a classification model based on the SVM algorithm is used, wherein the input of the classification model is the operational correlation coefficient and the food safety risk of the suspected risk targets in different operating links, and the output result is whether it is a contamination risk monitoring target. Finally, the contamination risk monitoring targets and the suspected risk monitoring targets are subjected to early warning processing.

[0054] The following will further describe the invention in conjunction with specific embodiments. Example

[0055] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a data processing method for food safety risk identification is provided, which is characterized by specifically comprising:

[0056] S1 determines the historical safety risks of different monitored target ingredients according to the historical monitoring data, and uses the historical safety risks to determine whether the monitored and managed ingredients belong to regulatory risk ingredients. If so, proceed to step S3, if not, proceed to the next step;

[0057] S2 determines the monitored risk ingredients among the monitored target ingredients by using the risk influencing factors of the monitored target ingredients in different operation links and the historical safety risks;

[0058] S3: taking the monitored risk food as a monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and when there is a suspected risk monitoring target based on the food safety risk, proceeding to the next step;

[0059] S4 determines the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links based on the monitoring data, and combines the food safety risks of the suspected risk targets in different operating links, and uses an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performs early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets.

[0060] Furthermore, the monitoring target ingredients are determined based on the analysis results of the historical monitoring data of the back kitchen. Specifically, the used ingredients of the back kitchen are determined based on the historical monitoring data of the back kitchen, and the used ingredients are used as the monitoring target ingredients.

[0061] Specifically, Figure 2 As shown, the method for determining the historical safety risk of the monitored target food is:

[0062] Determine the date on which the monitored target food material deteriorates based on the historical monitoring data, and use it as the deterioration date; determine the date on which the monitored target food material is abandoned due to safety risks based on the historical monitoring data, and use it as the safety risk date;

[0063] Determine the historical spoilage risk of the monitoring target food material according to the number of monitoring target food materials that have deteriorated on different deterioration dates, and determine the historical abandonment risk of the monitoring target food material according to the number of monitoring target food materials that have been abandoned due to safety risks on different safety risk dates;

[0064] The historical safety risk of the monitored target food is determined based on the historical spoilage risk and the historical abandonment risk.

[0065] Furthermore, the historical safety risk is used to determine whether the monitored and managed food is a regulatory risk food, specifically including:

[0066] When the historical safety risk of the monitored target food is not within the preset safety risk range, the monitored target food is determined to be a regulatory risk food.

[0067] In another embodiment, the method for determining the historical safety risk of the monitored target food is:

[0068] S11 determines the date when the target food material undergoes deterioration based on the historical monitoring data, and uses the date as the deterioration date, and determines whether the proportion of the number of deterioration dates within the most recent preset time is within a preset range. If so, proceed to step S15; if not, proceed to step S13;

[0069] S12 determines the date on which the monitored target food is abandoned due to safety risks based on the historical monitoring data, and uses it as the safety risk date, and determines whether the number of safety risk dates within the most recent preset time is within a preset range. If not, proceed to the next step; if yes, proceed to step S15;

[0070] S13 determines the historical spoilage risk of the monitoring target food according to the number of the monitoring target food that has spoiled on different spoilage dates, and judges whether the historical spoilage risk of the monitoring target food meets the requirements. If so, proceed to the next step; if not, determine that the monitoring target food is a regulatory risk food;

[0071] S14 determines the historical abandonment risk of the monitoring target food according to the number of monitoring target food abandoned due to safety risks on different safety risk dates, and judges whether the historical abandonment risk of the monitoring target food meets the requirements. If so, proceed to the next step; if not, determine that the monitoring target food is a regulatory risk food;

[0072] S15 determines the historical safety risk of the monitored target food based on the historical spoilage risk and the historical abandonment risk.

[0073] In another embodiment, the method for determining the historical safety risk of the monitored target food is:

[0074] Determine the amount of spoilage of the target food within the most recent preset time based on historical monitoring data, and judge whether the spoilage amount meets the requirement. If so, proceed to the next step; if not, determine that the target food is a regulatory risk food;

[0075] Determine the amount of the monitored target food material that has been abandoned due to safety risks within a recent preset time based on historical monitoring data, and judge whether the abandoned amount meets the requirement, if so, proceed to the next step, if not, determine that the monitored target food material is a regulatory risk food material;

[0076] Determine the date on which the target food material deteriorates based on historical monitoring data, and use it as the deterioration date; determine the date on which the target food material is abandoned due to safety risks based on the historical monitoring data, and use it as the safety risk date, determine the basic safety risk according to the date proportion of safety risk dates and the date proportion of deterioration dates within the most recent preset time, and judge whether the basic safety risk meets the requirements. If so, proceed to the next step; if not, determine that the target food material is a regulatory risk food material;

[0077] Determine the historical spoilage risk of the monitoring target food material according to the number of monitoring target food materials that have deteriorated on different deterioration dates, and determine the historical abandonment risk of the monitoring target food material according to the number of monitoring target food materials that have been abandoned due to safety risks on different safety risk dates;

[0078] The historical safety risk of the monitored target food is determined based on the historical spoilage risk and the historical abandonment risk.

[0079] Specifically, the method for determining the risk impact factor is:

[0080] Determining the number of deterioration of the monitored target food material in different operation links based on the deterioration data of the monitored target food material in different operation links, and determining the deterioration influencing factors of the monitored target food material in different operation links according to the number of deterioration;

[0081] Based on the determination of other monitoring target ingredients that are associated with the monitoring target ingredients in different operation links, and using them as associated target ingredients, the contamination influencing factor of the monitoring target ingredients is determined by the number of associated target ingredients and the number of times different associated target ingredients are associated with the monitoring target ingredients in the operation links when they deteriorate;

[0082] The risk impact factor of the monitored target food in the operation link is determined according to the contamination impact factor and the deterioration impact factor of the monitored target food.

[0083] It is understandable that when the monitoring target food is in contact with other monitoring target food in the operation link for a preset time period, it is determined that the monitoring target food is associated with other monitoring target food in the operation link.

[0084] Furthermore, the value range of the risk impact factor of the monitored target food in the operation link is between 0 and 1, wherein the larger the risk impact factor is, the greater the risk of food safety of the monitored target food in the operation link is.

[0085] Specifically, Figure 3 As shown, the method for determining the monitored risk ingredients in the monitored target ingredients is:

[0086] Determine the risk operation link of the monitoring target food by using the risk impact factors of the monitoring target food in different operation links, and determine the comprehensive risk impact factor of the monitoring target food according to the number of risk operation links of the monitoring target food and the risk impact factors of different risk operation links;

[0087] Obtaining the number of operation links of the monitored target food, and determining a revised risk impact factor based on the average value of the risk impact factors of different operation links and the comprehensive risk impact factor;

[0088] The comprehensive risk assessment amount of the monitoring target food is determined based on the modified risk impact factor and historical safety risk of the monitoring target food, and the comprehensive risk assessment amount is used to determine whether the monitoring target food is a monitored risk food.

[0089] Further, using the comprehensive risk assessment to determine whether the monitored target food is a monitored risk food specifically includes:

[0090] When the comprehensive risk assessment value of the monitoring target food is greater than a preset risk threshold, the monitoring target food is determined to be a monitored risk food.

[0091] In another embodiment, the method for determining the monitored risk ingredients in the monitored target ingredients is:

[0092] Determine the risk operation link of the monitoring target food by using the risk impact factor of the monitoring target food in different operation links, and judge whether the number of risk operation links of the monitoring target food meets the requirements, if so, proceed to the next step, if not, determine that the monitoring target food belongs to the monitoring risk food;

[0093] Determine the comprehensive risk impact factor of the monitoring target food according to the number of risk operation links of the monitoring target food and the risk impact factors of different risk operation links, and judge whether the comprehensive risk impact factor of the monitoring target food meets the requirements, if so, proceed to the next step, if not, determine that the monitoring target food belongs to the monitoring risk food;

[0094] Obtaining the number of operation links of the monitored target food, and determining the modified risk impact factor in combination with the average value of the risk impact factors of different operation links and the comprehensive risk impact factor, judging whether the modified risk impact factor of the monitored target food meets the requirements, if so, proceeding to the next step, if not, determining that the monitored target food belongs to a monitored risk food;

[0095] The comprehensive risk assessment amount of the monitoring target food is determined based on the modified risk impact factor and historical safety risk of the monitoring target food, and the comprehensive risk assessment amount is used to determine whether the monitoring target food is a monitored risk food.

[0096] In another embodiment, the method for determining the monitored risk ingredients in the monitored target ingredients is:

[0097] S21 determines whether the monitored target food has a suspected risk according to the historical safety risk of the monitored target food, if so, proceeds to step S25, if not, proceeds to the next step;

[0098] S22 determines whether the number of operation steps of the monitored target food is less than the preset number of steps, if so, proceeds to the next step, if not, proceeds to step S25;

[0099] S23 uses the risk impact factors of the monitoring target food in different operation links to determine whether the monitoring target food has a risky operation link, if yes, proceed to the next step, if no, determine that the monitoring target food does not belong to the monitored risk food;

[0100] S24: obtaining the number of risk operation links, and determining whether the monitoring target food does not belong to the monitoring risk food in combination with the maximum value of the risk operation factor of the risk operation link; if not, proceeding to the next step; if yes, determining that the monitoring target food does not belong to the monitoring risk food;

[0101] S25 determines the comprehensive risk impact factor of the monitoring target food according to the number of risk operation links of the monitoring target food and the risk impact factors of different risk operation links, and judges whether the number of risk operation links of the monitoring target food meets the requirements. If so, proceed to the next step; if not, determine that the monitoring target food belongs to the monitoring risk food;

[0102] S26 obtains the number of operation links of the monitored target food, and determines the modified risk impact factor in combination with the average value of the risk impact factors of different operation links and the comprehensive risk impact factor, determines the comprehensive risk assessment amount of the monitored target food according to the modified risk impact factor and historical safety risk of the monitored target food, and uses the comprehensive risk assessment amount to determine whether the monitored target food is a monitored risk food.

[0103] It should be noted that when the monitoring target food ingredient does not belong to the monitoring risk food ingredient, there is no need to monitor the food safety risk of the monitoring target food ingredient.

[0104] Further, such as Figure 4 As shown, the method for determining the food safety risk of the operation link is:

[0105] Determine the previous operation link of the operation link according to the operation sequence of the operation link, determine the monitoring images of different previous operation links and monitoring targets of the operation links based on the monitoring data of different previous operation links, and determine the basic security risks of different previous operation links and the operation links according to the monitoring images;

[0106] According to the basic safety risks of different preliminary operation links, the basic safety risks of the operation links are modified to obtain the food safety risks of the operation links.

[0107] Specifically, based on the food safety risk, the suspected risk monitoring targets are determined, including:

[0108] When the food safety risk of the monitoring target does not meet the requirements, the monitoring target is determined to be a suspected risk monitoring target.

[0109] Specifically, Figure 5 As shown, the method for determining the pollution risk monitoring target in the monitoring target is:

[0110] Determine the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links based on the monitoring data, and determine the operational correlation coefficient between the monitoring target and different suspected risk monitoring targets in different operation links through the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links;

[0111] Determine the contamination risk assessment amount of the monitoring target at different operation links according to the operation correlation coefficients at different operation links and the food safety risks of different suspected risk targets at different operation links;

[0112] The comprehensive pollution risk of the monitoring target is determined by using an AI-based screening model based on the pollution risk assessment in different operation links, and the pollution risk monitoring target in the monitoring target is determined based on the comprehensive pollution risk.

[0113] A further technical solution is that the AI-based screening model includes but is not limited to one or more combinations of CNN / SVM / SVR / BP neural networks, wherein the input is the pollution risk assessment in different operation links, and the output is the comprehensive pollution risk of the monitoring target.

[0114] Further, determining the pollution risk monitoring target in the monitoring target based on the comprehensive pollution risk specifically includes:

[0115] When the comprehensive pollution risk of the monitoring target is not within the preset pollution risk range, the monitoring target is determined to be a pollution risk monitoring target.

[0116] In another embodiment, the method for determining the pollution risk monitoring target in the monitoring target is:

[0117] Determine whether the monitoring target is in direct or indirect contact with the suspected risk monitoring target based on the monitoring data, if so, proceed to the next step, if not, determine that the monitoring target does not belong to the pollution risk monitoring target;

[0118] Determine the correlation coefficient between the monitoring target and different suspected risk monitoring targets according to the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links, and judge whether there is a suspected risk monitoring target whose correlation coefficient is greater than a preset correlation threshold value among the monitoring targets. If yes, proceed to the next step; if not, determine that the monitoring target does not belong to the pollution risk monitoring target;

[0119] Determine the operation correlation coefficient between the monitoring target and different suspected risk monitoring targets in different operation links through the direct contact duration and the indirect contact interval duration between the monitoring target and different suspected risk monitoring targets in different operation links, determine the contamination risk assessment amount of the monitoring target in different operation links according to the operation correlation coefficient in different operation links and the food safety risks of different suspected risk targets in different operation links, and judge whether there is an operation link where the contamination risk assessment amount of the monitoring target does not meet the requirements. If so, determine that the monitoring target belongs to the contamination risk monitoring target, if not, proceed to the next step;

[0120] The comprehensive pollution risk of the monitoring target is determined by using an AI-based screening model based on the pollution risk assessment in different operation links, and the pollution risk monitoring target in the monitoring target is determined based on the comprehensive pollution risk. Example

[0121] On the other hand, Figure 6 As shown, the present invention provides a data processing system for food safety risk identification, which adopts the above-mentioned data processing method for food safety risk identification, and is characterized in that it specifically includes:

[0122] Safety risk assessment module, risk food screening module, suspected risk target screening module, early warning processing module;

[0123] The safety risk assessment module is responsible for determining the historical safety risks of different monitoring target ingredients based on historical monitoring data, and using the historical safety risks to determine whether the monitored and managed ingredients are regulatory risk ingredients;

[0124] The risky food screening module is responsible for determining the monitored risky food among the monitored target food by using the risk influencing factors of the monitored target food in different operation links and the historical safety risks;

[0125] The suspected risk target screening module is responsible for taking the monitored risk food as the monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and determining whether there is a suspected risk monitoring target based on the food safety risk;

[0126] The early warning processing module is responsible for determining the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links based on the monitoring data, and combining the food safety risks of the suspected risk targets in different operating links, and using an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performing early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets.

[0127] Through the above embodiments, the present invention achieves the following beneficial effects:

[0128] 1. The risk influencing factors of the target ingredients in different operation links and the historical safety risks are used to determine the risky ingredients among the target ingredients. This not only takes into account the differences in food safety risks caused by the length of the monitoring target, the number of operation links and the difference in risk conditions, but also further considers the historical food conditions of different target ingredients. This ensures the reliability of the screening of risky ingredients and lays the foundation for further differentiated supervision of different ingredients.

[0129] 2. Utilizing the operational correlation coefficients between monitoring targets and suspected risk monitoring targets in different operational links, as well as the food safety risks of suspected risk targets in different operational links, an AI-based screening model is adopted to determine the contamination risk monitoring targets among the monitoring targets, thereby avoiding the technical problem of inaccurate assessment results of food safety risks caused by the original single use of monitoring data and only considering its own safety situation. This achieves the contamination risk monitoring target for food with contamination risks, further ensuring the safety of food.

[0130] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0131] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0132] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A data processing method for food safety risk identification, characterized in that: Specifically include: S1 determines the historical safety risks of different monitored target ingredients according to the historical monitoring data, and uses the historical safety risks to determine whether the monitored and managed ingredients belong to regulatory risk ingredients. If so, proceed to step S3, if not, proceed to the next step; S2 determines the monitored risk ingredients among the monitored target ingredients by using the risk influencing factors of the monitored target ingredients in different operation links and the historical safety risks; S3: taking the monitored risk food as a monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and when there is a suspected risk monitoring target based on the food safety risk, proceeding to the next step; S4 determines the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operation links according to the monitoring data, and combines the food safety risks of the suspected risk monitoring targets in different operation links, and uses an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performs early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets; The method for determining the risk impact factor is: Determining the number of deterioration of the monitored target food material in different operation links based on the deterioration data of the monitored target food material in different operation links, and determining the deterioration influencing factors of the monitored target food material in different operation links according to the number of deterioration; Based on the determination of other monitoring target ingredients that are associated with the monitoring target ingredients in different operation links, and using them as associated target ingredients, the contamination influencing factor of the monitoring target ingredients is determined by the number of associated target ingredients and the number of times different associated target ingredients are associated with the monitoring target ingredients in the operation links when they deteriorate; Calculating the risk impact factor of the monitored target food in the operation link according to the contamination impact factor and the deterioration impact factor of the monitored target food; The method for determining the historical safety risk of the monitoring target food is: Determine the amount of spoilage of the target food within the most recent preset time based on historical monitoring data, and judge whether the spoilage amount meets the requirement. If so, proceed to the next step; if not, determine that the target food is a regulatory risk food; Determine the amount of the monitored target food material that has been abandoned due to safety risks within a recent preset time based on historical monitoring data, and judge whether the abandoned amount meets the requirement, if so, proceed to the next step, if not, determine that the monitored target food material is a regulatory risk food material; Determine the date on which the target food material deteriorates based on historical monitoring data, and use it as the deterioration date; determine the date on which the target food material is abandoned due to safety risks based on the historical monitoring data, and use it as the safety risk date, determine the basic safety risk according to the date proportion of safety risk dates and the date proportion of deterioration dates within the most recent preset time, and judge whether the basic safety risk meets the requirements. If so, proceed to the next step; if not, determine that the target food material is a regulatory risk food material; Determine the historical spoilage risk of the monitoring target food material according to the number of monitoring target food materials that have deteriorated on different deterioration dates, and determine the historical abandonment risk of the monitoring target food material according to the number of monitoring target food materials that have been abandoned due to safety risks on different safety risk dates; Determining the historical safety risk of the monitored target food based on the historical spoilage risk and the historical abandonment risk; The method for determining the pollution risk monitoring target in the monitoring target is: Determine the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links based on the monitoring data, and determine the operational correlation coefficient between the monitoring target and different suspected risk monitoring targets in different operation links through the direct contact duration and the interval duration of indirect contact between the monitoring target and different suspected risk monitoring targets in different operation links; Determine the contamination risk assessment amount of the monitoring target at different operation links according to the operation correlation coefficients at different operation links and the food safety risks of different suspected risk monitoring targets at different operation links; The comprehensive pollution risk of the monitoring target is determined by using an AI-based screening model based on the pollution risk assessment in different operation links, and the pollution risk monitoring target in the monitoring target is determined based on the comprehensive pollution risk.

2. The data processing method for food safety risk identification according to claim 1, characterized in that: The monitoring target ingredients are determined based on the analysis results of the historical monitoring data of the back kitchen. Specifically, the used ingredients in the back kitchen are determined based on the historical monitoring data of the back kitchen, and the used ingredients are used as the monitoring target ingredients.

3. The data processing method for food safety risk identification according to claim 1, characterized in that: The historical safety risks are used to determine whether the monitored and managed ingredients are regulatory risk ingredients, including: When the historical safety risk of the monitored target food is not within the preset safety risk range, the monitored target food is determined to be a regulatory risk food.

4. The data processing method for food safety risk identification according to claim 1, characterized in that: When the monitoring target food is in contact with other monitoring target food in the operation link within a preset time period, it is determined that the monitoring target food is associated with other monitoring target food in the operation link.

5. The data processing method for food safety risk identification according to claim 4, characterized in that: The value range of the risk impact factor of the monitored target food in the operation link is between 0 and 1, wherein the larger the risk impact factor is, the greater the risk of food safety of the monitored target food in the operation link is.

6. The data processing method for food safety risk identification according to claim 1, characterized in that: The method for determining the monitored risk ingredients in the monitoring target ingredients is: Determine the risk operation link of the monitoring target food by using the risk impact factors of the monitoring target food in different operation links, and determine the comprehensive risk impact factor of the monitoring target food according to the number of risk operation links of the monitoring target food and the risk impact factors of different risk operation links; Obtaining the number of operation links of the monitored target food, and determining a revised risk impact factor based on the average value of the risk impact factors of different operation links and the comprehensive risk impact factor; The comprehensive risk assessment amount of the monitoring target food is determined based on the modified risk impact factor and historical safety risk of the monitoring target food, and the comprehensive risk assessment amount is used to determine whether the monitoring target food is a monitored risk food.

7. A data processing system for identifying food safety risks, using a data processing method for identifying food safety risks according to any one of claims 1 to 6, characterized in that: Specifically include: Safety risk assessment module, risk food screening module, risk monitoring target screening module, early warning processing module; The safety risk assessment module is responsible for determining the historical safety risks of different monitoring target ingredients based on historical monitoring data, and using the historical safety risks to determine whether the monitored and managed ingredients are regulatory risk ingredients; The risky food screening module is responsible for determining the monitored risky food among the monitored target food by using the risk influencing factors of the monitored target food in different operation links and the historical safety risks; The risk monitoring target screening module is responsible for taking the monitored risk food as the monitoring target, and determining the food safety risks of different operation links according to the monitoring data of the monitoring target in different operation links and the operation sequence of different operation links, and determining whether there is a suspected risk monitoring target based on the food safety risk; The early warning processing module is responsible for determining the operational correlation coefficients between different monitoring targets and the suspected risk monitoring targets in different operating links based on the monitoring data, and combining the food safety risks of the suspected risk monitoring targets in different operating links, and using an AI-based screening model to determine the contamination risk monitoring targets among the monitoring targets, and performing early warning processing on the contamination risk monitoring targets and the suspected risk monitoring targets.

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