Food Enterprise Risk Assessment Sampling Inspection Method and System

Abstract

The present invention provides a method and system for risk assessment sampling inspection of food enterprises, relating to the technical field of risk assessment. The method includes: collecting production environment information; obtaining a first publicity text related to the production process; determining a production process risk score according to the production environment information and the first publicity text; obtaining first content information of harmful substances in food raw materials, second content information of harmful substances in food semi-finished products, and third content information of harmful substances in food finished products; obtaining a second publicity text related to harmful substances; determining a harmful substance risk score according to the second publicity text, the first content information, the second content information, and the third content information; and determining a food enterprise risk score according to the production process risk score and the harmful substance score. According to the present invention, the risk that the publicity does not conform to the actual situation of the food enterprise can be considered during the process of risk assessment, so as to evaluate the risk of the food enterprise more accurately and objectively.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment, and in particular, to a method and system for risk assessment and sampling inspection of food enterprises. Background Art

[0002] In the related art, when inspecting food enterprises or when food enterprises conduct self-inspections, inspections are usually carried out on aspects such as production qualifications and sanitary conditions to evaluate the risks of food enterprises. However, food enterprises may have promoted their production processes and food safety, etc., and there may be a large number of consumers who purchase the food produced by food enterprises due to the promotion of food enterprises. In this case, if the actual production process or food safety of food enterprises does not match the promotion, it may cause greater risks. For example, it may cause a rapid decline in the trust of consumers and result in more serious business risks. However, in the related art, the promotion of food enterprises is not combined with aspects such as the production process and food safety of food enterprises to comprehensively evaluate the risks of food enterprises, making it difficult for food enterprises to accurately and objectively evaluate their own risks.

[0003] The information disclosed in the background art section of the present application is only intended to deepen the understanding of the general background art of the present application, and should not be regarded as an admission or any form of implication that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0004] Embodiments of the present invention provide a method and system for risk assessment and sampling inspection of food enterprises, which can consider the risk that the promotion does not match the actual situation of food enterprises during the risk assessment process to more accurately and objectively evaluate the risks of food enterprises.

[0005] According to a first aspect of the embodiments of the present invention, there is provided a method for risk assessment and sampling inspection of food enterprises, including:

[0006] Setting processing environment sampling points at multiple food processing workstations;

[0007] Collecting production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity;

[0008] Obtaining a first promotional text related to the production process according to various promotional information of the food enterprise;

[0009] Determining a production process risk score according to the production environment information and the first promotional text;

[0010] Sampling and detecting food raw materials to obtain first content information of various preset types of harmful substances;

[0011] Sampling and detecting food semi-finished products to obtain second content information of various preset types of harmful substances;

[0012] Sample and test the finished food products to obtain the third content information of various preset types of harmful substances;

[0013] Obtain the second publicity text related to the various types of harmful substances according to various publicity information of the food enterprise;

[0014] Determine the harmful substance risk score according to the second publicity text, the first content information, the second content information and the third content information;

[0015] Determine the food enterprise risk score according to the production process risk score and the harmful substance score.

[0016] According to an embodiment of the present invention, determining the production process risk score according to the production environment information and the first publicity text includes:

[0017] Determine the temperature difference information of multiple processing environment sampling points according to the production temperature of multiple processing environment sampling points and the set temperature of multiple processing environment sampling points;

[0018] Determine the humidity difference information of multiple processing environment sampling points according to the production humidity of multiple processing environment sampling points and the set humidity of multiple processing environment sampling points;

[0019] Determine the steps of the production process flow corresponding to each processing environment sampling point;

[0020] Determine the text information in the first publicity text related to the steps of each production process flow;

[0021] Determine the production process risk score according to the temperature difference information, the humidity difference information and the text information related to the steps of each production process flow.

[0022] According to an embodiment of the present invention, determining the production process risk score according to the temperature difference information, the humidity difference information and the text information related to the steps of each production process flow includes:

[0023] According to the formula

[0024]

[0025] Determine the production process risk score R T , where T i is the production temperature of the i-th processing environment sampling point, T s , i is the set temperature of the i-th processing environment sampling point, |T i -T s ,i | is the temperature difference information of the i-th processing environment sampling point, n 1 is the number of words in the first promotional text, n 1 , i is the number of words of the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, H i is the production humidity of the i-th processing environment sampling point, H s , i is the set humidity of the i-th processing environment sampling point, |H i -H s , i | is the humidity difference information of the i-th processing environment sampling point, N is the number of processing environment sampling points, i is a positive integer less than or equal to N, α T is the temperature deviation ratio threshold, α H is the humidity deviation ratio threshold.

[0026] According to an embodiment of the present invention, according to the second promotional text, the first content information, the second content information and the third content information, determine the harmful substance risk score, including:

[0027] According to the first content information of the various preset types of harmful substances, and the first content threshold of the various preset types of harmful substances in the food raw materials, determine the first content difference information of the various preset types of harmful substances;

[0028] According to the second content information of the various preset types of harmful substances, and the second content threshold of the various preset types of harmful substances in the food semi-finished products, determine the second content difference information of the various preset types of harmful substances;

[0029] According to the third content information of the various preset types of harmful substances, and the third content threshold of the various preset types of harmful substances in the food finished products, determine the third content difference information of the various preset types of harmful substances;

[0030] According to the preset processing flow of the food finished products, determine the first usage information of the food semi-finished products used for the food finished products per unit output;

[0031] According to the preset processing flow of the food semi-finished products, determine the second usage information of the food raw materials used for the food semi-finished products per unit output;

[0032] Determine the text information related to the various preset types of harmful substances in the second promotional text;

[0033] Determine the hazardous substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first dosage information, the second dosage information, and the text information related to various preset types of hazardous substances.

[0034] According to an embodiment of the present invention, determining the hazardous substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first dosage information, the second dosage information, and the text information related to various preset types of hazardous substances includes:

[0035] According to the formula

[0036]

[0037] Determine the hazardous substance risk score R S , where D 1 is the first dosage information, D 2 is the second dosage information, C 1 , j is the first content information of the j-th preset type of hazardous substance, C T , 1 , j is the first content threshold of the j-th preset type of hazardous substance, (C 1 , j -C T , 1 , j ) is the first content difference information of the j-th preset type of hazardous substance, β 1 is the first ratio threshold, n 2 is the number of words in the second publicity text, n 2 , j is the number of words in the text information related to the j-th preset type of hazardous substance, M is the number of types of preset types, j is a positive integer less than or equal to M, C 2 , j is the second content information of the j-th preset type of hazardous substance, C T , 2 , j is the second content threshold of the j-th preset type of hazardous substance, (C 2 , j -C T , 2 , j ) is the second content difference information of the j-th preset type of hazardous substance, β 2 is the second ratio threshold, C 3 , jis the third content information of the harmful substance of the j-th preset type, C T , 3 , j is the third content threshold of the harmful substance of the j-th preset type, (C 3 , j -C T , 3 , j ) is the third content difference information of the harmful substance of the j-th preset type, β 3 is the third ratio threshold.

[0038] According to an embodiment of the present invention, sampling inspection is carried out on food raw materials to obtain the first content information of various preset types of harmful substances, including:

[0039] Take multiple samples of food raw materials to obtain multiple food raw material samples;

[0040] Respectively obtain the maximum content of various preset types of harmful substances in multiple food raw material samples as the first content information of various preset types of harmful substances.

[0041] According to an embodiment of the present invention, sampling inspection is carried out on food semi-finished products to obtain the second content information of various preset types of harmful substances, including:

[0042] Take multiple samples of food semi-finished products to obtain multiple food semi-finished product samples;

[0043] Respectively obtain the maximum content of various preset types of harmful substances in multiple food semi-finished product samples as the second content information of various preset types of harmful substances.

[0044] According to an embodiment of the present invention, sampling inspection is carried out on food finished products to obtain the third content information of various preset types of harmful substances, including:

[0045] Take multiple samples of food finished products to obtain multiple food finished product samples;

[0046] Respectively obtain the maximum content of various preset types of harmful substances in multiple food finished product samples as the third content information of various preset types of harmful substances.

[0047] According to the second aspect of the embodiments of the present invention, a food enterprise risk assessment sampling inspection system is provided, including:

[0048] A sampling point module for setting processing environment sampling points at multiple food processing stations;

[0049] A collection module, configured to collect production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity;

[0050] A first publicity module, configured to obtain a first publicity text related to the production process according to various publicity information of the food enterprise;

[0051] A production process risk scoring module, configured to determine a production process risk score according to the production environment information and the first publicity text;

[0052] A first content module, configured to conduct sampling tests on food raw materials to obtain first content information on various preset types of harmful substances;

[0053] A second content module, configured to conduct sampling tests on food semi-finished products to obtain second content information on various preset types of harmful substances;

[0054] A third content module, configured to conduct sampling tests on food finished products to obtain third content information on various preset types of harmful substances;

[0055] A second publicity module, configured to obtain a second publicity text related to the various types of harmful substances according to various publicity information of the food enterprise;

[0056] A harmful substance risk scoring module, configured to determine a harmful substance risk score according to the second publicity text, the first content information, the second content information, and the third content information;

[0057] A food enterprise risk scoring module, configured to determine a food enterprise risk score according to the production process risk score and the harmful substance score.

[0058] According to an embodiment of the present invention, the production process risk scoring module is further configured to:

[0059] Determine temperature difference information of multiple processing environment sampling points according to the production temperature of multiple processing environment sampling points and the set temperature of multiple processing environment sampling points;

[0060] Determine humidity difference information of multiple processing environment sampling points according to the production humidity of multiple processing environment sampling points and the set humidity of multiple processing environment sampling points;

[0061] Determine the steps of the production process flow corresponding to each processing environment sampling point;

[0062] Determine the text information in the first publicity text related to the steps of each production process flow;

[0063] Determine the production process risk score according to the temperature difference information, the humidity difference information, and the text information related to the steps of each production process flow.

[0064] According to an embodiment of the present invention, the production process risk scoring module is further configured to:

[0065] According to the formula

[0066]

[0067] Determine the production process risk score R T , where T i is the production temperature of the i-th processing environment sampling point, T s , i is the set temperature of the i-th processing environment sampling point, |T i -T s , i | is the temperature difference information of the i-th processing environment sampling point, n 1 is the number of words in the first promotional text, n 1 , i is the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, H i is the production humidity of the i-th processing environment sampling point, H s , i is the set humidity of the i-th processing environment sampling point, |H i -H s , i | is the humidity difference information of the i-th processing environment sampling point, N is the number of processing environment sampling points, i is a positive integer less than or equal to N, α T is the temperature deviation ratio threshold, α H is the humidity deviation ratio threshold.

[0068] According to an embodiment of the present invention, the hazardous substance risk scoring module is further configured to:

[0069] Determine the first content difference information of various preset types of hazardous substances according to the first content information of the various preset types of hazardous substances and the first content threshold of the various preset types of hazardous substances in the food raw materials;

[0070] Determine the second content difference information of various preset types of hazardous substances according to the second content information of the various preset types of hazardous substances and the second content threshold of the various preset types of hazardous substances in the food semi-finished products;

[0071] Determine the third content difference information of various preset types of harmful substances according to the third content information of the various preset types of harmful substances and the third content threshold of the various preset types of harmful substances in the finished food product;

[0072] Determine the first dosage information of the food semi-finished product used for the finished food product per unit output according to the preset processing flow of the finished food product;

[0073] Determine the second dosage information of the food raw material used for the food semi-finished product per unit output according to the preset processing flow of the food semi-finished product;

[0074] Determine the text information related to various preset types of harmful substances in the second publicity text;

[0075] Determine the harmful substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first dosage information, the second dosage information, and the text information related to various preset types of harmful substances;

[0076] According to an embodiment of the present invention, the harmful substance risk scoring module is further configured to:

[0077] According to the formula

[0078]

[0079] Determine the harmful substance risk score R S , where D 1 is the first dosage information, D 2 is the second dosage information, C 1 , j is the first content information of the jth preset type of harmful substance, C T , 1 , j is the first content threshold of the jth preset type of harmful substance, (C 1 , j -C T , 1 , j ) is the first content difference information of the jth preset type of harmful substance, β 1 is the first ratio threshold, n 2 is the number of words in the second publicity text, n 2 , j is the number of words in the text information related to the jth preset type of harmful substance, M is the number of types of preset types, j is a positive integer less than or equal to M, C 2 , jis the second content information of the harmful substance of the j-th preset type, C T , 2 , j is the second content threshold of the harmful substance of the j-th preset type, (C 2 , j -C T , 2 , j ) is the second content difference information of the harmful substance of the j-th preset type, β 2 is the second ratio threshold, C 3 , j is the third content information of the harmful substance of the j-th preset type, C T , 3 , j is the third content threshold of the harmful substance of the j-th preset type, (C 3 , j -C T , 3 , j ) is the third content difference information of the harmful substance of the j-th preset type, β 3 is the third ratio threshold.

[0080] According to an embodiment of the present invention, the first content module is further configured to:

[0081] Take multiple samples of food raw materials to obtain multiple food raw material samples;

[0082] Respectively obtain the maximum content of various preset types of harmful substances in multiple food raw material samples as the first content information of various preset types of harmful substances.

[0083] According to an embodiment of the present invention, the second content module is further configured to:

[0084] Take multiple samples of food semi-finished products to obtain multiple food semi-finished product samples;

[0085] Respectively obtain the maximum content of various preset types of harmful substances in multiple food semi-finished product samples as the second content information of various preset types of harmful substances.

[0086] According to an embodiment of the present invention, the third content module is further configured to:

[0087] Take multiple samples of food finished products to obtain multiple food finished product samples;

[0088] Respectively obtain the maximum content of various preset types of harmful substances in multiple food finished product samples as the third content information of various preset types of harmful substances.

[0089] According to a third aspect of an embodiment of the present invention, there is provided a food enterprise risk assessment sampling inspection device, including: a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to call the instructions stored in the memory to execute the food enterprise risk assessment sampling inspection method.

[0090] According to a fourth aspect of an embodiment of the present invention, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the food enterprise risk assessment sampling inspection method is implemented.

[0091] According to the food enterprise risk assessment sampling inspection method of an embodiment of the present invention, the first publicity text regarding the production process of a food enterprise can be combined with the production environment information, so that the production process risk can be comprehensively evaluated, and the second publicity text related to various harmful substances of the food enterprise can be combined with the content information of harmful substances in the food, so that the risk of harmful substances can be comprehensively evaluated. Furthermore, the risk of the food enterprise can be comprehensively evaluated based on the production process risk and the risk of harmful substances, so that the risk of inconsistency between publicity and the actual situation of the food enterprise can be considered during the risk assessment process, in order to more accurately and objectively evaluate the risk of the food enterprise. When determining the production process risk score, based on the number of words in the first publicity text and the number of words in the text information related to the steps of each production process, a lower weight value can be given to the production and processing environment that conforms to the publicity to indicate a lower risk, and a higher weight value can be given to the production and processing environment that does not conform to the publicity to indicate a higher risk, so that the publicity information of the enterprise can be considered when evaluating the risk of the production process of the food enterprise, and the accuracy and objectivity of the production process risk score can be improved. When determining the harmful substance risk score, based on the number of words in the second publicity text and the number of words in the text information related to various preset types of harmful substances, a lower weight value can be given to the content deviation ratio of harmful substances that conforms to the publicity, and a higher weight value can be given to the content deviation ratio of harmful substances with a negative value to indicate a lower risk, and a higher weight value can be given to the content deviation ratio of harmful substances that does not conform to the publicity to indicate a higher risk, so that the publicity information of the enterprise can be considered when evaluating the risk of the food itself of the food enterprise, and the accuracy and objectivity of the harmful substance risk score can be improved. Furthermore, in both the production process risk score and the harmful substance score, the risk related to the publicity of the food enterprise is considered, so that the food enterprise risk score can accurately and objectively evaluate the risk of the food enterprise.

[0092] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present invention. According to the following detailed description of exemplary embodiments with reference to the accompanying drawings, other features and aspects of the present invention will be clearer. Description of the Drawings

[0093] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other embodiments can be obtained based on these drawings.

[0094] Figure 1 Exemplarily shows a schematic flow chart of a risk assessment sampling inspection method for food enterprises according to an embodiment of the present invention;

[0095] Figure 2 Exemplarily shows a schematic diagram of a risk assessment sampling inspection system for food enterprises according to an embodiment of the present invention. Detailed implementation manners

[0096] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0097] The following will specifically describe the technical solutions of the present invention with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0098] Figure 1 Exemplarily shows a schematic flow chart of a risk assessment sampling inspection method for food enterprises according to an embodiment of the present invention, as Figure 1 shown, the method includes:

[0099] Step S101, setting processing environment sampling points at multiple food processing workstations;

[0100] Step S102, collecting production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity;

[0101] Step S103, obtaining a first publicity text related to the production process according to various publicity information of the food enterprise;

[0102] Step S104, determining a production process risk score according to the production environment information and the first publicity text;

[0103] Step S105, sampling and testing food raw materials to obtain first content information of various preset types of harmful substances;

[0104] Step S106: Sampling and testing the semi-finished food to obtain the second content information of various preset types of harmful substances;

[0105] Step S107: Sampling and testing the finished food to obtain the third content information of various preset types of harmful substances;

[0106] Step S108: Obtain the second publicity text related to the various types of harmful substances according to various publicity information of the food enterprise;

[0107] Step S109: Determine the harmful substance risk score according to the second publicity text, the first content information, the second content information and the third content information;

[0108] Step S110: Determine the food enterprise risk score according to the production process risk score and the harmful substance score.

[0109] According to the food enterprise risk assessment and sampling inspection method of the embodiment of the present invention, the first publicity text of the food enterprise about the production process can be combined with the production environment information, so as to comprehensively evaluate the production process risk, and the second publicity text of the food enterprise related to various harmful substances can be combined with the content information of harmful substances in the food, so as to comprehensively evaluate the risk of harmful substances. Furthermore, the risk of the food enterprise can be comprehensively evaluated based on the production process risk and the risk of harmful substances, so that the risk that the publicity does not conform to the actual situation of the food enterprise can be considered in the process of risk assessment, so as to evaluate the risk of the food enterprise more accurately and objectively.

[0110] According to an embodiment of the present invention, in step S101, processing environment sampling points can be set at multiple food processing workstations. In the example, processing environment sampling points can be set at the processing workstations of each step in the production process flow. In the example, the production process flow of a certain food includes steps such as shelling, disinfection, soaking, baking, packaging, etc. Processing environment sampling points can be set at the processing workstations of each step. For example, a processing environment sampling point can be set at the location where the shelling instrument is located, a processing environment sampling point can be set at the location of the soaking pool, a processing environment sampling point can be set at the location where the disinfection instrument is located, a processing environment sampling point can be set inside the oven, and a processing environment sampling point can be set at the location where the packaging instrument is located. The present invention does not limit the steps included in the production process flow and the specific setting positions of the processing environment sampling points.

[0111] According to an embodiment of the present invention, in step S102, during the production and processing process, the production environment information of each processing environment sampling point can be collected. For example, the production temperature and production humidity of each processing environment sampling point can be collected. The production temperature and production humidity can be collected multiple times at multiple moments during the production process, and the average value can be taken. The present invention does not limit the specific collection method of the production temperature and production humidity.

[0112] According to an embodiment of the present invention, in step S103, various types of publicity information of food enterprises can include advertising slogans and texts printed on food packaging, etc. The present invention does not limit the type of publicity information. Various types of publicity information can be summarized, and the first publicity text related to the production process can be extracted. For example, texts such as "high-temperature disinfection" and "strictly control the fermentation temperature and humidity".

[0113] According to an embodiment of the present invention, in step S104, the production environment information and the first publicity text can be combined to comprehensively evaluate the risks of food enterprises in the production process flow, and improve the accuracy and objectivity of risk assessment.

[0114] According to an embodiment of the present invention, step S104 may include: determining the temperature difference information of multiple processing environment sampling points according to the production temperature of multiple processing environment sampling points and the set temperature of multiple processing environment sampling points; determining the humidity difference information of multiple processing environment sampling points according to the production humidity of multiple processing environment sampling points and the set humidity of multiple processing environment sampling points; determining the steps of the production process flow corresponding to each processing environment sampling point; determining the text information in the first publicity text related to the steps of each production process flow; determining the production process risk score according to the temperature difference information, the humidity difference information, and the text information related to the steps of each production process flow.

[0115] According to an embodiment of the present invention, each processing environment sampling point can correspond to a production process flow, and each production process flow can have its own set temperature, and this set temperature can be used as the set temperature of the processing environment sampling point. For example, in the baking step, the set temperature can be set to 300 °C, and in the high-temperature disinfection step, the temperature can be set to 500 °C. The present invention does not limit the specific value of the set temperature.

[0116] According to an embodiment of the present invention, the temperature difference information can be determined by using the measured production temperature and the set temperature of each processing environment sampling point. For example, the absolute value of the deviation between the production temperature and the set temperature can be used as the temperature difference information of each processing environment sampling point.

[0117] According to an embodiment of the present invention, each processing environment sampling point can correspond to a production process flow, and each production process flow can have its own set humidity, which can be used as the set humidity of the processing environment sampling point. For example, in the fermentation step, the set humidity of this step can be set. Further, the humidity difference information can be determined by using the measured production humidity and the set humidity of each processing environment sampling point. For example, the absolute value of the deviation between the production humidity and the set humidity can be used as the humidity difference information of each processing environment sampling point.

[0118] According to an embodiment of the present invention, as described above, the processing environment sampling points can be set at the food processing workstations of each step of the production process flow. Therefore, the processing environment sampling points can correspond to each step of the production process flow.

[0119] According to an embodiment of the present invention, the text information related to each step of the production process flow can be determined in the first publicity text. As described above, the first publicity text is the text related to the production process, and the first publicity text can be divided according to the steps of the production process flow to obtain the text information related to each step of the production process flow. For example, "high-temperature disinfection" is the text information related to the disinfection step, and "strictly control the fermentation temperature and humidity" is the text information related to the fermentation step. The text information related to each step can be summarized separately according to the steps of the production process flow, and the number of words of the text information related to each step can also be counted. Of course, there may not be relevant text information for each step of the production process flow. If there is no relevant text information for a certain step, the number of words related to this step can be set to 0.

[0120] According to an embodiment of the present invention, the above-determined temperature difference information, humidity difference information, and text information related to each step of the production process flow can be combined to determine the production process risk score, so that the publicity information of the enterprise can be considered when evaluating the risk of the production process of the food enterprise, and the accuracy and objectivity of the production process risk score can be improved.

[0121] According to an embodiment of the present invention, determining the production process risk score according to the temperature difference information, the humidity difference information, and the text information related to each step of the production process flow includes: determining the production process risk score R according to formula (1) T ,

[0122]

[0123] (1)

[0124] wherein, T i is the production temperature of the i-th processing environment sampling point, Ts , i is the set temperature of the i-th sampling point in the processing environment, |T i -T s , i | is the temperature difference information of the i-th sampling point in the processing environment, n 1 is the number of characters in the first promotional text, n 1 , i is the number of characters of the text information related to the steps of the production process flow corresponding to the i-th sampling point in the processing environment, H i is the production humidity of the i-th sampling point in the processing environment, H s , i is the set humidity of the i-th sampling point in the processing environment, |H i -H s , i | is the humidity difference information of the i-th sampling point in the processing environment, N is the number of sampling points in the processing environment, i is a positive integer less than or equal to N, α T is the temperature deviation ratio threshold, α H is the humidity deviation ratio threshold.

[0125] According to an embodiment of the present invention, in formula (1), the first term is the term related to the temperature difference information, where, is the ratio of the temperature difference information to the set temperature, representing the temperature deviation ratio. The first term is the weighted average of the temperature deviation ratios for each sampling point in the processing environment, and the weight value is the conditional function value based on the number of characters of the text information related to the steps of each production process flow. Where, is the weight value of the temperature deviation ratio of each sampling point in the processing environment, is the conditional function, indicating that if the number of characters of the text information related to the steps of the production process flow corresponding to the i-th sampling point in the processing environment is not 0, that is, there is text information related to this step, then the value of this conditional function is That is, the value of the conditional function is another inner conditional function. If the number of characters of the text information related to the steps of the production process flow corresponding to the i-th sampling point in the processing environment is 0, that is, there is no text information related to this step, then the value of this conditional function is 1. In the above inner conditional function, if the temperature deviation ratio is greater than or equal to the temperature deviation ratio threshold, that is, the temperature deviation is large, which does not conform to the promotional content and is likely to cause greater risks, then a larger weight value can be obtained based on the number of characters of the first promotional text and the number of characters of the text information related to the steps of the production process flow corresponding to the i-th sampling point in the processing environment, that is, This weight value is a value greater than 1, indicating that a larger weight value is assigned to the steps of the production process flow that do not match the publicity, resulting in a larger production process risk score, thereby indicating a greater risk. On the contrary, if the temperature deviation ratio is less than the temperature deviation ratio threshold, that is, the temperature deviation is small and conforms to the publicity content, it is not likely to cause a large risk. Based on the number of words in the first publicity text and the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, a smaller weight value can be obtained, that is, This weight value is a value less than 1, indicating that a smaller weight value is assigned to the steps of the production process flow that match the publicity, resulting in a smaller production process risk score, thereby indicating a smaller risk. In summary, if there is no text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, the weight value is If there is text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, but the actual temperature does not match the publicity text information, the weight value is If there is text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, and the actual temperature matches the publicity text information, the weight value is According to the weight values determined above, the weighted sum of each temperature deviation ratio is calculated to obtain the first item of the production process risk score.

[0126] According to an embodiment of the present invention, in formula (1), the second item is the item related to the humidity difference information, where is the ratio of the humidity difference information to the set humidity, indicating the humidity deviation ratio. The second item is the weighted average of the humidity deviation ratios for each processing environment sampling point, and the weight value is the conditional function value based on the number of words in the text information related to the steps of each production process flow. Where is the weight value of the humidity deviation ratio for each processing environment sampling point, is the conditional function, indicating that if the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point is not 0, that is, there is text information related to this step, then the conditional function value is That is, the conditional function value is another inner conditional function. If the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point is 0, that is, there is no text information related to this step, then the conditional function value is 1. In the above-mentioned inner conditional function, if the humidity deviation ratio is greater than or equal to the humidity deviation ratio threshold, that is, the humidity deviation is large, which does not conform to the publicity content and is likely to cause greater risks, then a larger weight value can be obtained based on the number of words in the first publicity text and the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point. That is, This weight value is a weight value greater than 1, indicating that a larger weight value is assigned to the steps of the production process flow that do not conform to the publicity, resulting in a larger production process risk score, thereby indicating a greater risk. On the contrary, if the humidity deviation ratio is less than the humidity deviation ratio threshold, that is, the humidity deviation is small and conforms to the publicity content, then it is not likely to cause greater risks, and a smaller weight value can be obtained based on the number of words in the first publicity text and the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point. That is, This weight value is a weight value less than 1, indicating that a smaller weight value is assigned to the steps of the production process flow that conform to the publicity, resulting in a smaller production process risk score, thereby indicating a smaller risk. To sum up, if there is no text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, then the weight value is If there is text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, but the actual humidity does not conform to the publicity text information, then the weight value is If there is text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, and the actual humidity conforms to the publicity text information, then the weight value is According to the weight values determined above, weighted summation is performed on each humidity deviation ratio, and the second item of the production process risk score can be obtained.

[0127] In this way, based on the number of words in the first publicity text and the number of words in the text information related to the steps of each production process flow, a lower weight value can be assigned to the production and processing environment that conforms to the publicity to indicate a lower risk, and a higher weight value can be assigned to the production and processing environment that does not conform to the publicity to indicate a higher risk. Thus, the publicity information of the enterprise can be considered when evaluating the risks of the production process of food enterprises, improving the accuracy and objectivity of the production process risk score.

[0128] According to an embodiment of the present invention, in addition to the production process risk score that describes the risks of the production process of food enterprises as above, the risks of the food itself can also be evaluated. For example, the risks of the food itself can be determined based on the contents of various harmful substances in the raw materials, semi-finished products, and finished products of the food.

[0129] According to an embodiment of the present invention, in step S105, sampling and testing are performed on food raw materials to obtain first content information of various preset types of harmful substances. In an example, sampling and testing can be respectively performed on various food raw materials, and the first content information of the preset types of harmful substances in each sample can be determined.

[0130] According to an embodiment of the present invention, step S105 includes: taking multiple samples of food raw materials to obtain multiple food raw material samples; respectively obtaining the maximum content values of various preset types of harmful substances in the multiple food raw material samples as the first content information of various preset types of harmful substances.

[0131] In an example, multiple samples can be respectively taken of various food raw materials, and the contents of various preset types of harmful substances in each food raw material sample can be detected. Moreover, in order to more accurately reflect the risks of harmful substances and accurately prompt the severity of the risks of harmful substances, the maximum content value of the preset types of harmful substances in each food raw material sample can be used as the first content information of the preset types of harmful substances.

[0132] According to an embodiment of the present invention, in step S106, sampling and testing are performed on food semi-finished products to obtain second content information of various preset types of harmful substances. In an example, sampling and testing can be respectively performed on various food semi-finished products, and the second content information of the preset types of harmful substances in each sample can be determined.

[0133] According to an embodiment of the present invention, step S106 may include: taking multiple samples of food semi-finished products to obtain multiple food semi-finished product samples; respectively obtaining the maximum content values of various preset types of harmful substances in the multiple food semi-finished product samples as the second content information of various preset types of harmful substances.

[0134] In an example, multiple samples can be respectively taken of various food semi-finished products, and the contents of various preset types of harmful substances in each food semi-finished product sample can be detected. Moreover, in order to more accurately reflect the risks of harmful substances and accurately prompt the severity of the risks of harmful substances, the maximum content value of the preset types of harmful substances in each food semi-finished product sample can be used as the second content information of the preset types of harmful substances.

[0135] According to an embodiment of the present invention, in step S107, sampling and testing are performed on the finished food products to obtain the third content information of various preset types of harmful substances. In an example, sampling and testing can be respectively performed on various finished food products, and the third content information of the preset types of harmful substances in each sample is determined.

[0136] According to an embodiment of the present invention, step S107 may include: taking multiple samples of the finished food products to obtain multiple finished food product samples; respectively obtaining the maximum content of various preset types of harmful substances in the multiple finished food product samples as the third content information of various preset types of harmful substances.

[0137] In an example, multiple samples can be respectively taken from various finished food products, and the content of various preset types of harmful substances in each finished food product sample is detected. Moreover, in order to more accurately reflect the risk of harmful substances and accurately prompt the severity of the risk of harmful substances, the maximum content of the preset types of harmful substances in each finished food product sample can be used as the third content information of the preset types of harmful substances.

[0138] According to an embodiment of the present invention, in step S108, various types of publicity information are summarized, and the second publicity text related to harmful substances is extracted therefrom. For example, publicity texts such as "does not contain XXX type of harmful substances" and "strictly controls harmful bacteria groups" are extracted.

[0139] According to an embodiment of the present invention, in step S109, the harmful substance risk score can be determined based on the above second publicity text, first content information, second content information, and third content information. Thus, the content information of harmful substances can be combined with the second publicity text, thereby comprehensively evaluating the risk of the food enterprise in terms of the food itself and improving the accuracy and objectivity of risk assessment.

[0140] According to an embodiment of the present invention, step S109 may include: determining the first content difference information of various preset types of harmful substances according to the first content information of the various preset types of harmful substances and the first content threshold of the various preset types of harmful substances in the food raw materials; determining the second content difference information of the various preset types of harmful substances according to the second content information of the various preset types of harmful substances and the second content threshold of the various preset types of harmful substances in the food semi-finished products; determining the third content difference information of the various preset types of harmful substances according to the third content information of the various preset types of harmful substances and the third content threshold of the various preset types of harmful substances in the food finished products; determining the first usage information of the food semi-finished products used for the food finished products per unit output according to the preset processing flow of the food finished products; determining the second usage information of the food raw materials used for the food semi-finished products per unit output according to the preset processing flow of the food semi-finished products; determining the text information related to the various preset types of harmful substances in the second publicity text; and determining the harmful substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first usage information, the second usage information, and the text information related to the various preset types of harmful substances.

[0141] According to an embodiment of the present invention, each harmful substance may have a content threshold, which is the upper limit of the harmful substance content. When not exceeding this upper limit, the content of the harmful substance is safe, while if it exceeds this upper limit, the content of the harmful substance is unsafe. In an example, the upper limits of various types of harmful substances in the food raw materials, that is, the first content threshold, can be set, and the deviation between the first content information of the various harmful substances in the food raw materials and the first content threshold is the first content difference information. In an example, the upper limits of various types of harmful substances in the food semi-finished products, that is, the second content threshold, can be set, and the deviation between the second content information of the various harmful substances in the food semi-finished products and the second content threshold is the second content difference information. In an example, the upper limits of various types of harmful substances in the food finished products, that is, the third content threshold, can be set, and the deviation between the third content information of the various harmful substances in the food finished products and the third content threshold is the third content difference information.

[0142] According to an embodiment of the present invention, in the process of processing finished food products, a larger amount of semi-finished food products may be used per unit output of the finished food products. For example, there may be losses during the processing. Therefore, the amount of semi-finished food products used per unit output of the finished food products is greater than the said unit output. The first usage information of the semi-finished food products used per unit output of the finished food products can be determined. Similarly, in the process of processing semi-finished food products, a larger amount of food raw materials may be used per unit output of the semi-finished food products. Therefore, the amount of food raw materials used per unit output of the semi-finished food products is greater than the said unit output. The second usage information of the food raw materials used per unit output of the semi-finished food products can be determined.

[0143] According to an embodiment of the present invention, text information related to various types of harmful substances can be determined in the second promotional text. For example, the second promotional text can be divided according to the types of harmful substances described, text information related to various types of harmful substances can be obtained, and the number of words of the text information related to various types of harmful substances can be counted.

[0144] According to an embodiment of the present invention, based on the first content difference information, the second content difference information, the third content difference information, the first usage information, the second usage information, and the text information related to various preset types of harmful substances, the harmful substance risk score can be determined. This step includes: determining the harmful substance risk score R according to formula (2) S ,

[0145]

[0146] where D 1 is the first usage information, D 2 is the second usage information, C 1 , j is the first content information of the j-th preset type of harmful substance, C T , 1 , j is the first content threshold of the j-th preset type of harmful substance, (C 1 , j -C T , 1 , j ) is the first content difference information of the j-th preset type of harmful substance, β 1 is the first ratio threshold, n 2 is the number of words of the second promotional text, n 2 , j is the number of words of the text information related to the j-th preset type of harmful substance, M is the number of types of presets, j is a positive integer less than or equal to M, C2 , j is the second content information of the harmful substance of the j-th preset type, C T , 2 , j is the second content threshold of the harmful substance of the j-th preset type, (C 2 , j -C T , 2 , j ) is the second content difference information of the harmful substance of the j-th preset type, β 2 is the second ratio threshold, C 3 , j is the third content information of the harmful substance of the j-th preset type, C T , 3 , j is the third content threshold of the harmful substance of the j-th preset type, (C 3 , j -C T , 3 , j ) is the third content difference information of the harmful substance of the j-th preset type, β 3 is the third ratio threshold.

[0147] According to an embodiment of the present invention, in formula (2), the first term is the term related to food raw materials, where is the ratio of the first content difference information to the first content threshold, representing the first content deviation ratio. The first term is the weighted average of the first content deviation ratios of various preset types of harmful substances, and the weight value is the conditional function value based on the number of words in the text information related to various preset types of harmful substances, as well as the product of the first usage information and the second usage information. The first usage information and the second usage information can not only represent the amount of food raw materials required to produce a unit output of food products, but also be used to reflect the enrichment effect of harmful substances when food raw materials are processed into food products. Therefore, a higher weight value can be given to food raw materials, that is, the product of the first usage information and the second usage information is included in the weight value. Where β 1 or is the weight value of the first content deviation ratio of various preset types of harmful substances, β 1 or is a conditional function, indicating that if the number of words in the text information related to the j-th preset type of harmful substance is not 0, that is, there is publicity information related to the j-th preset type of harmful substance, then the value of this conditional function is That is, the conditional function value is another inner conditional function. If the number of characters in the text information related to the harmful substance of the j-th preset type is 0, that is, there is no publicity information related to the harmful substance of the j-th preset type, then the conditional function value is 1. In the above inner conditional function, if the first content deviation ratio is greater than or equal to the first ratio threshold, that is, the content of the j-th harmful substance in the food raw material exceeds the standard, then it does not conform to the publicity content and is likely to cause greater risks. Then, a larger weight value can be set based on the number of characters in the second publicity text and the number of characters in the text information related to the harmful substance of the j-th preset type. That is, This weight value is a weight value greater than 1, indicating that a larger weight value is given to the deviation of the harmful substance that does not conform to the publicity, so that the harmful substance risk score is larger, thereby indicating a greater risk. Or, if the first content deviation ratio is less than or equal to 0, it means that the j-th harmful substance not only does not exceed the standard, but is instead lower than or equal to the first content threshold, and a larger weight value can be given to it. That is, Multiplying this larger weight value by the first content deviation ratio with a negative value can obtain a negative number with a larger absolute value, thereby greatly reducing the harmful substance risk score, that is, indicating a smaller risk. If the first content deviation ratio does not meet the conditions of the inner conditional function, that is, although the first content information of the j-th harmful substance exceeds the first content threshold, the first content deviation ratio does not exceed the standard, then a smaller weight value can be given to indicate a smaller risk. In summary, if there is no text information related to the harmful substance of the j-th preset type, the weight value is If there is text information related to the harmful substance of the j-th preset type, and the first content deviation ratio is greater than or equal to the first ratio threshold or less than or equal to 0, the weight value is If there is text information related to the harmful substance of the j-th preset type, and the first content deviation ratio is less than the first ratio threshold and greater than 0, the weight value is By weighted summing the first content deviation ratios of the harmful substances of the preset type, the first item of the harmful substance risk score can be obtained.

[0148] According to an embodiment of the present invention, in formula (2), the second item is the item related to the food semi-finished product, where The ratio of the second content difference information to the second content threshold, representing the second content deviation ratio. The second item is the weighted average of the second content deviation ratios for various preset types of harmful substances, and the weight value is the product of the conditional function value based on the number of words in the text information related to various preset types of harmful substances and the first dosage information. The first dosage information can not only represent the dosage of food semi-finished products required to produce a unit output of food finished products, but also be used to reflect the enrichment effect of harmful substances when food semi-finished products are processed into food finished products. Therefore, a higher weight value can be given to food semi-finished products, that is, the first dosage information is included in the weight value. Among them,

[0149] That is, the weight value of the second content deviation ratio of various preset types of harmful substances, is a conditional function, indicating that if the number of words in the text information related to the j-th preset type of harmful substance is not 0, that is, there is publicity information related to the j-th preset type of harmful substance, then the value of this conditional function is That is, the value of the conditional function is another inner conditional function. If the number of words in the text information related to the j-th preset type of harmful substance is 0, that is, there is no publicity information related to the j-th preset type of harmful substance, then the value of this conditional function is 1. In the above inner conditional function, if the second content deviation ratio is greater than or equal to the second ratio threshold, that is, the content of the j-th harmful substance in the food semi-finished product exceeds the standard, then it does not conform to the publicity content and is likely to cause greater risks. Then, a larger weight value can be set based on the number of words in the second publicity text and the number of words in the text information related to the j-th preset type of harmful substance, that is, This weight value is a weight value greater than 1, indicating that a larger weight value is given to the deviation of harmful substances that do not conform to the publicity, making the harmful substance risk score larger, thereby indicating a greater risk. Or, if the second content deviation ratio is less than or equal to 0, it means that the j-th harmful substance not only does not exceed the standard, but is instead lower than or equal to the second content threshold, and a larger weight value can be given to it, that is, The product of this larger weight value and the second content deviation ratio with a negative value can obtain a negative number with a larger absolute value, thereby greatly reducing the harmful substance risk score, that is, indicating a smaller risk. If the second content deviation ratio does not meet the conditions of the inner conditional function, that is, although the second content information of the j-th harmful substance exceeds the second content threshold, the second content deviation ratio does not exceed the standard, then a smaller weight value can be given to indicate a smaller risk. To sum up, if there is no text information related to the j-th preset type of harmful substance, the weight value is If there is text information related to the harmful substances of the j-th preset type, and the second content deviation ratio is greater than or equal to the second ratio threshold or less than or equal to 0, the weight value is If there is text information related to the harmful substances of the j-th preset type, and the second content deviation ratio is less than the second ratio threshold and greater than 0, the weight value is By weighted summing the second content deviation ratios of the harmful substances of the preset type, the second item of the harmful substance risk score can be obtained.

[0150] According to an embodiment of the present invention, in formula (2), the third item is the item related to the finished food product, where is the ratio of the third content difference information to the third content threshold, representing the third content deviation ratio. The third item is the weighted average of the third content deviation ratios of various preset types of harmful substances, and the weight value is the conditional function value based on the number of words of the text information related to various preset types of harmful substances. Where

[0151] is the weight value of the third content deviation ratios of various preset types of harmful substances, is a conditional function, indicating that if the number of words of the text information related to the harmful substances of the j-th preset type is not 0, that is, there is publicity information related to the harmful substances of the j-th preset type, then the value of this conditional function is That is, the value of the conditional function is another inner conditional function. If the number of words of the text information related to the harmful substances of the j-th preset type is 0, that is, there is no publicity information related to the harmful substances of the j-th preset type, then the value of this conditional function is 1. In the above inner conditional function, if the third content deviation ratio is greater than or equal to the third ratio threshold, that is, the content of the j-th harmful substance in the finished food product exceeds the standard, it does not conform to the publicity content and is likely to cause greater risks. Then, a larger weight value can be set based on the number of words of the second publicity text and the number of words of the text information related to the harmful substances of the j-th preset type, that is, This weight value is a weight value greater than 1, indicating that a larger weight is given to the deviation of the harmful substances that do not conform to the publicity, making the harmful substance risk score larger, thereby indicating a greater risk. Or, if the third content deviation ratio is less than or equal to 0, it means that the j-th harmful substance not only does not exceed the standard, but is instead lower than or equal to the third content threshold, and a larger weight value can be given to it, that is, Multiplying the larger weight value by the third content deviation ratio with a negative value can obtain a negative number with a larger absolute value, thereby significantly reducing the harmful substance risk score, that is, indicating a smaller risk. If the third content deviation ratio does not meet the conditions of the inner conditional function, that is, although the third content information of the j-th harmful substance exceeds the third content threshold, the third content deviation ratio does not exceed the standard, a smaller weight value can be assigned to indicate a smaller risk. In summary, if there is no text information related to the j-th preset type of harmful substance, the weight value is If there is text information related to the j-th preset type of harmful substance, and the third content deviation ratio is greater than or equal to the third ratio threshold or less than or equal to 0, the weight value is If there is text information related to the j-th preset type of harmful substance, and the third content deviation ratio is less than the third ratio threshold and greater than 0, the weight value is By weighted summing the third content deviation ratios of the preset types of harmful substances, the third item of the harmful substance risk score can be obtained.

[0152] In this way, based on the number of words in the second promotional text and the number of words in the text information related to various preset types of harmful substances, a lower weight value can be assigned to the content deviation ratio of the harmful substances that meet the publicity, and a higher weight value can be assigned to the content deviation ratio of the harmful substances with a negative value to indicate a lower risk, and a higher weight value can be assigned to the content deviation ratio of the harmful substances that do not meet the publicity to indicate a higher risk. Thus, the publicity information of the enterprise can be considered when evaluating the risk of the food itself of the food enterprise, improving the accuracy and objectivity of the harmful substance risk score.

[0153] According to an embodiment of the present invention, in step S110, the production process risk score and the harmful substance score can be used to determine the food enterprise risk score. In both the production process risk score and the harmful substance score, the risks related to the publicity of the food enterprise are considered, so that the food enterprise risk score can accurately and objectively evaluate the risk of the food enterprise.

[0154] The food enterprise risk assessment and sampling inspection method according to an embodiment of the present invention can combine the first publicity text of a food enterprise regarding the production process with the production environment information, so as to comprehensively evaluate the production process risk, and combine the second publicity text of the food enterprise related to various harmful substances with the content information of harmful substances in the food, so as to comprehensively evaluate the risk of harmful substances. Furthermore, it can comprehensively evaluate the risk of the food enterprise based on the production process risk and the risk of harmful substances, so as to consider the risk that the publicity does not match the actual situation of the food enterprise during the risk assessment process, in order to more accurately and objectively evaluate the risk of the food enterprise. When determining the production process risk score, based on the number of words in the first publicity text and the number of words in the text information related to the steps of each production process, a lower weight value can be assigned to the production and processing environment that conforms to the publicity to indicate a lower risk, and a higher weight value can be assigned to the production and processing environment that does not conform to the publicity to indicate a higher risk. Thus, the publicity information of the enterprise can be considered when evaluating the risk of the production process of the food enterprise, improving the accuracy and objectivity of the production process risk score. When determining the harmful substance risk score, based on the number of words in the second publicity text and the number of words in the text information related to various preset types of harmful substances, a lower weight value can be assigned to the content deviation ratio of the harmful substances that conform to the publicity, and a higher weight value can be assigned to the content deviation ratio of the harmful substances with a negative value to indicate a lower risk, and a higher weight value can be assigned to the content deviation ratio of the harmful substances that do not conform to the publicity to indicate a higher risk. Thus, the publicity information of the enterprise can be considered when evaluating the risk of the food itself of the food enterprise, improving the accuracy and objectivity of the harmful substance risk score. Furthermore, in both the production process risk score and the harmful substance score, the risk related to the publicity of the food enterprise is considered, so that the food enterprise risk score can accurately and objectively evaluate the risk of the food enterprise.

[0155] Figure 2 Exemplarily shown is a schematic diagram of a food enterprise risk assessment and sampling inspection system according to an embodiment of the present invention, as Figure 2 shown, the system includes:

[0156] A sampling point module 101 for setting processing environment sampling points at multiple food processing stations;

[0157] An acquisition module 102 for acquiring production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity;

[0158] A first publicity module 103 for obtaining a first publicity text related to the production process according to various publicity information of the food enterprise;

[0159] A production process risk scoring module 104 for determining a production process risk score according to the production environment information and the first publicity text;

[0160] The first content module 105 is configured to conduct sampling tests on food raw materials to obtain first content information on various preset types of harmful substances;

[0161] The second content module 106 is configured to conduct sampling tests on semi-finished foods to obtain second content information on various preset types of harmful substances;

[0162] The third content module 107 is configured to conduct sampling tests on finished foods to obtain third content information on various preset types of harmful substances;

[0163] The second publicity module 108 is configured to obtain second publicity texts related to the various types of harmful substances according to various publicity information of food enterprises;

[0164] The harmful substance risk scoring module 109 is configured to determine a harmful substance risk score according to the second publicity text, the first content information, the second content information, and the third content information;

[0165] The food enterprise risk scoring module 110 is configured to determine a food enterprise risk score according to the production process risk score and the harmful substance score.

[0166] According to an embodiment of the present invention, the production process risk scoring module is further configured to:

[0167] Determine temperature difference information of multiple processing environment sampling points according to the production temperature of multiple processing environment sampling points and the set temperature of multiple processing environment sampling points;

[0168] Determine humidity difference information of multiple processing environment sampling points according to the production humidity of multiple processing environment sampling points and the set humidity of multiple processing environment sampling points;

[0169] Determine the steps of the production process flow corresponding to each processing environment sampling point;

[0170] Determine the text information related to the steps of each production process flow in the first publicity text;

[0171] Determine the production process risk score according to the temperature difference information, the humidity difference information, and the text information related to the steps of each production process flow.

[0172] According to an embodiment of the present invention, the production process risk scoring module is further configured to:

[0173] According to the formula

[0174]

[0175] Determine the production process risk score R T , where T i is the production temperature at the i-th processing environment sampling point, T s , i is the set temperature at the i-th processing environment sampling point, |T i -T s , i | is the temperature difference information at the i-th processing environment sampling point, n 1 is the number of words in the first promotional text, n 1 , i is the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point, H i is the production humidity at the i-th processing environment sampling point, H s , i is the set humidity at the i-th processing environment sampling point, |H i -H s , i | is the humidity difference information at the i-th processing environment sampling point, N is the number of processing environment sampling points, i is a positive integer less than or equal to N, α T is the temperature deviation ratio threshold, α H is the humidity deviation ratio threshold.

[0176] According to an embodiment of the present invention, the harmful substance risk scoring module is further configured to:

[0177] Determine the first content difference information of various preset types of harmful substances according to the first content information of the various preset types of harmful substances and the first content threshold of the various preset types of harmful substances in the food raw materials;

[0178] Determine the second content difference information of various preset types of harmful substances according to the second content information of the various preset types of harmful substances and the second content threshold of the various preset types of harmful substances in the food semi-finished products;

[0179] Determine the third content difference information of various preset types of harmful substances according to the third content information of the various preset types of harmful substances and the third content threshold of the various preset types of harmful substances in the food finished products;

[0180] Determine the first usage information of the food semi-finished products used per unit output of the food finished products according to the preset processing flow of the food finished products;

[0181] Determine the second usage information of the food raw materials used per unit output of the food semi-finished products according to the preset processing flow of the food semi-finished products;

[0182] Determine the text information related to harmful substances of various preset types in the second promotional text;

[0183] Determine the harmful substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first dosage information, the second dosage information, and the text information related to harmful substances of various preset types.

[0184] According to an embodiment of the present invention, the harmful substance risk scoring module is further configured to:

[0185] According to the formula

[0186]

[0187] Determine the harmful substance risk score R S , where D 1 is the first dosage information, D 2 is the second dosage information, C 1 , j is the first content information of the j-th preset type of harmful substance, C T , 1 , j is the first content threshold of the j-th preset type of harmful substance, (C 1 , j -C T , 1 , j ) is the first content difference information of the j-th preset type of harmful substance, β 1 is the first ratio threshold, n 2 is the number of words in the second promotional text, n 2 , j is the number of words in the text information related to the j-th preset type of harmful substance, M is the number of types of preset types, j is a positive integer less than or equal to M, C 2 , j is the second content information of the j-th preset type of harmful substance, C T , 2 , j is the second content threshold of the j-th preset type of harmful substance, (C 2 , j -C T , 2 , j ) is the second content difference information of the j-th preset type of harmful substance, β 2 is the second ratio threshold, C 3 , jis the third content information of the harmful substance of the j-th preset type, C T , 3 , j is the third content threshold of the harmful substance of the j-th preset type, (C 3 , j -C T , 3 , j ) is the third content difference information of the harmful substance of the j-th preset type, β 3 is the third ratio threshold.

[0188] According to an embodiment of the present invention, the first content module is further configured to:

[0189] Take multiple samples of food raw materials to obtain multiple food raw material samples;

[0190] Respectively obtain the maximum content of various preset types of harmful substances in multiple food raw material samples as the first content information of various preset types of harmful substances.

[0191] According to an embodiment of the present invention, the second content module is further configured to:

[0192] Take multiple samples of food semi-finished products to obtain multiple food semi-finished product samples;

[0193] Respectively obtain the maximum content of various preset types of harmful substances in multiple food semi-finished product samples as the second content information of various preset types of harmful substances.

[0194] According to an embodiment of the present invention, the third content module is further configured to:

[0195] Take multiple samples of food finished products to obtain multiple food finished product samples;

[0196] Respectively obtain the maximum content of various preset types of harmful substances in multiple food finished product samples as the third content information of various preset types of harmful substances.

[0197] According to an embodiment of the present invention, there is provided a food enterprise risk assessment sampling inspection device, including: a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to call the instructions stored in the memory to execute the food enterprise risk assessment sampling inspection method.

[0198] According to an embodiment of the present invention, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the food enterprise risk assessment sampling inspection method is implemented.

[0199] The present invention may be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for performing various aspects of the present invention.

[0200] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and illustrated in the embodiments, and without departing from the said principles, the embodiments of the present invention may have any deformation or modification.

[0201] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they may still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A risk assessment sampling inspection method for food enterprises, characterized in that, it includes: Setting processing environment sampling points at multiple food processing workstations; Collecting production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity; obtaining a first publicity text related to the production process according to various publicity information of the food enterprise; Determining a production process risk score according to the production environment information and the first publicity text; Sampling and testing food raw materials to obtain first content information on various preset types of harmful substances; Sampling and testing food semi-finished products to obtain second content information on various preset types of harmful substances; Sampling and testing food finished products to obtain third content information on various preset types of harmful substances; Obtaining a second publicity text related to the various preset types of harmful substances according to various publicity information of the food enterprise; determining a harmful substance risk score according to the second publicity text, the first content information, the second content information and the third content information; Determining the food enterprise risk score according to the production process risk score and the harmful substance risk score.

2. The risk assessment sampling inspection method for food enterprises according to claim 1, characterized in that, Determining the production process risk score according to the production environment information and the first publicity text includes: Determining temperature difference information of multiple processing environment sampling points according to the production temperature of multiple processing environment sampling points and the set temperature of multiple processing environment sampling points; Determining humidity difference information of multiple processing environment sampling points according to the production humidity of multiple processing environment sampling points and the set humidity of multiple processing environment sampling points; Determining the steps of the production process flow corresponding to each processing environment sampling point; Determining the text information in the first publicity text related to the steps of each production process flow; Determining the production process risk score according to the temperature difference information, the humidity difference information and the text information related to the steps of each production process flow.

3. The risk assessment sampling inspection method for food enterprises according to claim 2, characterized in that, Determining the production process risk score according to the temperature difference information, the humidity difference information and the text information related to the steps of each production process flow includes: According to the formula Determine the production process risk score R T , where T i is the production temperature at the i-th processing environment sampling point, and T s，i is the set temperature at the i-th processing environment sampling point, and |T i - T s，i | is the temperature difference information at the i-th processing environment sampling point. n 1 is the number of words in the first promotional text, and n 1，i is the number of words in the text information related to the steps of the production process flow corresponding to the i-th processing environment sampling point. H i is the production humidity at the i-th processing environment sampling point, and H s，i is the set humidity at the i-th processing environment sampling point, and |H i - H s，i | is the humidity difference information at the i-th processing environment sampling point. N is the number of processing environment sampling points, i is a positive integer less than or equal to N, and α T is the temperature deviation ratio threshold, and α H is the humidity deviation ratio threshold.

4. The risk assessment sampling inspection method for food enterprises according to claim 1, characterized in that, Determining the harmful substance risk score according to the second publicity text, the first content information, the second content information and the third content information includes: Determining first content difference information of various preset types of harmful substances according to the first content information of the various preset types of harmful substances and the first content threshold of the various preset types of harmful substances in the food raw materials; Determining second content difference information of various preset types of harmful substances according to the second content information of the various preset types of harmful substances and the second content threshold of the various preset types of harmful substances in the food semi-finished products; Determine the third content difference information of various preset types of harmful substances based on the third content information of the various preset types of harmful substances and the third content threshold of the various preset types of harmful substances in the finished food product; Determine the first usage information of food semi-finished products used for unit output of finished food products according to the preset processing process of the finished food product; Determine the second usage information of food raw materials used for unit output of food semi-finished products according to the preset processing process of the food semi-finished products; Determine the text information related to various preset types of harmful substances in the second publicity text; Determine the harmful substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first usage information, the second usage information, and the text information related to various preset types of harmful substances; 5. The food enterprise risk assessment sampling inspection method according to claim 4, characterized in that, Determining the harmful substance risk score according to the first content difference information, the second content difference information, the third content difference information, the first usage information, the second usage information, and the text information related to various preset types of harmful substances includes: According to the formula Determine the risk score R of harmful substances S , where D 1 is the first dosage information, D 2 is the second dosage information, C 1，j is the first content information of the j-th preset type of harmful substance, C T，1，j is the first content threshold of the j-th preset type of harmful substance, (C 1，j -C T，1，j ) is the first content difference information of the j-th preset type of harmful substance, β 1 is the first proportion threshold, n 2 is the number of words in the second promotional text, n 2，j is the number of words in the text information related to the j-th preset type of harmful substance, M is the number of types of preset types, j is a positive integer less than or equal to M, C 2，j is the second content information of the j-th preset type of harmful substance, C T，2，j is the second content threshold of the j-th preset type of harmful substance, (C 2，j -C T，2，j ) is the second content difference information of the j-th preset type of harmful substance, β 2 is the second proportion threshold, C 3，j is the third content information of the j-th preset type of harmful substance, C T，3，j is the third content threshold of the j-th preset type of harmful substance, (c 3，j -C T，3，j ) is the third content difference information of the j-th preset type of harmful substance, β 3 is the third proportion threshold.

6. The food enterprise risk assessment sampling inspection method according to claim 1, characterized in that, Sampling and testing food raw materials to obtain the first content information of various preset types of harmful substances, including: Taking multiple samples of food raw materials to obtain multiple food raw material samples; Respectively obtain the maximum content of various preset types of harmful substances in multiple food raw material samples as the first content information of various preset types of harmful substances.

7. The food enterprise risk assessment sampling inspection method according to claim 1, characterized in that, Sampling and testing food semi-finished products to obtain the second content information of various preset types of harmful substances, including: Taking multiple samples of food semi-finished products to obtain multiple food semi-finished product samples; Respectively obtain the maximum content of various preset types of harmful substances in multiple food semi-finished product samples as the second content information of various preset types of harmful substances.

8. The food enterprise risk assessment sampling inspection method according to claim 1, characterized in that, Sampling and testing the finished food product to obtain the third content information of various preset types of harmful substances, including: Taking multiple samples of the finished food product to obtain multiple finished food product samples; Respectively obtain the maximum content of various preset types of harmful substances in multiple finished food product samples as the third content information of various preset types of harmful substances.

9. A food enterprise risk assessment sampling inspection system, characterized in that, including: A sampling point module for setting processing environment sampling points at multiple food processing workstations; An acquisition module for acquiring production environment information at each of the processing environment sampling points, where the production environment information includes production temperature and production humidity; A first publicity module for obtaining a first publicity text related to the production process according to various publicity information of the food enterprise; A production process risk scoring module, configured to determine a production process risk score according to the production environment information and the first publicity text; A first content module, configured to perform sampling inspection on food raw materials to obtain first content information of various preset types of harmful substances; A second content module, configured to perform sampling inspection on food semi-finished products to obtain second content information of various preset types of harmful substances; A third content module, configured to perform sampling inspection on food finished products to obtain third content information of various preset types of harmful substances; A second publicity module, configured to obtain a second publicity text related to the various preset types of harmful substances according to various publicity information of a food enterprise; A harmful substance risk scoring module, configured to determine a harmful substance risk score according to the second publicity text, the first content information, the second content information and the third content information; A food enterprise risk scoring module, configured to determine a food enterprise risk score according to the production process risk score and the harmful substance risk score.

10. A sampling inspection device for food enterprise risk assessment, characterized in that, it includes: a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to call the instructions stored in the memory to execute the method according to any one of claims 1-8.

Images