CN111260168A - Food safety risk identification method and system - Google Patents
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Abstract
The disclosure provides a food safety risk identification method and system. The identification method comprises the following steps: acquiring external food safety limit data and establishing an external food safety limit database; acquiring monitoring data of internal risk-containing items, and determining an internal food safety information database according to the external food safety limit database; determining a risk item hazard index database according to the daily allowable intake and the food category consumption; and determining the risk item grade according to the internal food safety information database and the risk item hazard index database. The method reduces food safety incidents caused by incomplete food safety risk identification, and effectively prevents food safety risks.
Description
Technical Field
The disclosure belongs to the technical field of food safety management, and particularly relates to a food safety risk identification method and system.
Background
The food safety is directly related to the health and life safety of the masses, and is a great basic civil problem, an economic problem and a political problem. Food safety risk identification is a precondition for food safety management, no systematic method exists for food safety risk identification at present, information is basically input and screened manually, the analysis means is backward, the sensing and predicting capabilities for risk factors are insufficient, and a large amount of food safety information and data of the Internet cannot be identified and analyzed timely and effectively. A food safety risk identification method is urgently needed, risk factors can be comprehensively analyzed, scientification and high efficiency of risk identification are realized, and a good foundation is laid for effectively preventing food safety risks.
Disclosure of Invention
In view of the above, the present disclosure is directed to a method and system for identifying food safety risks, so as to solve at least some of the above technical problems.
In order to achieve the above object, the present disclosure provides a food safety risk identification method, including:
acquiring external food safety limit data and establishing an external food safety limit database;
acquiring monitoring data of internal risk-containing items, and determining an internal food safety information database according to the external food safety limit database;
determining a risk item hazard index database according to the daily allowable intake and the food category consumption;
and determining the risk item grade according to the internal food safety information database and the risk item hazard index database.
In a further embodiment, when determining the risk item level based on the internal food safety information database and the risk item hazard indicator database, determining the risk item level is also performed based on an external food safety information database.
In a further embodiment, the obtaining external food safety limit data and establishing an external food safety limit database comprises: the food safety limit at home and abroad is input into a database according to food categories and risk items, and risk item information tables of different food categories and different national limit are determined.
In a further embodiment, the determining an internal food safety information database comprises: recording internal risk monitoring data of an enterprise into a database, wherein the internal risk monitoring data information comprises food categories, risk items, monitoring time, monitoring results and/or monitoring units; calculating to obtain the monitoring data of the food category, the monitoring time and the risk item; judging whether the monitoring data are qualified or not according to the monitoring result and the limit standard of the external food safety limit data; and counting the unqualified times of the monitoring data according to the risk items, calculating the internal risk occurrence frequency, and arranging the risk items from high to low according to the occurrence frequency.
In further embodiments, the monitoring statistics comprise data ranges, maxima, minima, median values, and/or averages.
In a further embodiment, the external food safety information base is established in a manner that includes: acquiring external food safety information data and recording the data into a database; classifying external food safety information data according to food categories, risk items, monitoring countries and monitoring time; and calculating the occurrence frequency of the external risks according to the risk items, and arranging the risk items from high to low according to the occurrence frequency.
In further embodiments, determining the risk item hazard index database based on the daily allowed intake and food category consumption comprises: entering daily allowable intake of risk items into a database; recording average consumption of different food categories into a database; calculating the daily maximum intake for different food categories; the hazard level of the risk item is ranked according to the highest daily intake.
In a further embodiment, determining a risk item rating based on the internal food safety information database and the risk item hazard indicator database comprises: in a risk identification system, establishing a relation between an internal food safety information database and a risk item hazard index database and an external food safety information database by using risk items; forming a risk item, hazard degree, internal generation frequency and external generation frequency data table; adding the internal generation frequency and the external generation frequency to obtain the total occurrence frequency of the risk items; and making two-dimensional quadrant graphs of different risk items according to the hazard degree and the occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs.
According to another aspect of the present disclosure, there is provided a food safety risk identification system, including:
the external limit information acquisition module is used for acquiring external food safety limit data and establishing an external food safety limit database;
the internal safety information determining module is used for acquiring monitoring data of internal risk-containing items and determining an internal food safety information database according to the external food safety limit database;
the risk item hazard index determining module is used for determining a risk item hazard index database according to the daily allowable intake and the food category consumption;
and the risk analysis module is used for determining the risk item grade according to the internal food safety information database and the risk item hazard index database.
In a further embodiment, further comprising: and the external food safety information determining module is used for acquiring external food safety information data and inputting the external food safety information data into the external food safety information database.
In a further embodiment, the external food safety information determination module comprises: the external food safety information input submodule acquires external food safety information data and inputs the external food safety information data into the database; the external food safety information classification submodule classifies external food safety information data according to food categories, risk items, monitoring countries and monitoring time; and the external risk occurrence frequency determining submodule calculates the external risk occurrence frequency according to the risk items and arranges the risk items from high to low according to the occurrence frequency.
In a further embodiment, the external quota information obtaining module comprises: and the external limit information input submodule inputs food safety limits at home and abroad into the database according to food categories and risk items, and the risk item information table determination submodule determines risk item information tables with different food categories and different national limits.
In a further embodiment, the internal security information determination module comprises: the internal risk monitoring data information input sub-module is used for inputting the internal risk monitoring data of the enterprise into a database, and the internal risk monitoring data information comprises food categories, risk items, monitoring time, monitoring results and/or monitoring units; the internal monitoring data determining submodule calculates monitoring data of food categories, monitoring time and risk items; the limit standard judgment submodule judges whether the monitoring data is qualified or not according to the monitoring result and the limit standard of the external food safety limit data; and the internal risk occurrence frequency determining submodule calculates the internal risk occurrence frequency according to the unqualified times of the statistical monitoring data of the risk items, and arranges the risk items from high to low according to the occurrence frequency.
In further embodiments, the risk item hazard indicator determination module comprises: the risk item hazard index recording submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and comprises: the daily intake recording submodule records the daily allowable intake of the risk items into a database; the average consumption amount recording submodule records the average consumption amounts of different food categories into a database; a maximum intake determination submodule for calculating the daily maximum intake of different food categories; and the risk item hazard degree determining submodule arranges the hazard degrees of the risk items according to the daily highest intake.
In further embodiments, the risk analysis module comprises: the association submodule establishes a connection between the internal food safety information database and the risk item hazard index database and the external food safety information database by using the risk items; the association data table determining submodule is used for forming a risk item, a hazard degree, an internal generation frequency and an external generation frequency data table; the overall risk frequency determining submodule is used for adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk items; and the hazard degree image determining submodule is used for making two-dimensional quadrant graphs of different risk items according to hazard degrees and occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs.
In a further embodiment, further comprising: and the display device is used for displaying and searching the risk level food safety risk of the risk item.
According to the identification method, the internal food safety information database and the risk item hazard index database are combined to determine the output risk items, so that food safety events caused by incomplete food safety risk identification are reduced, and the occurrence of food safety risks is effectively prevented;
in the identification method disclosed by the invention, the comprehensiveness and accuracy of risk identification are further improved by further combining an external food safety information base, and assistance is provided for food production and monitoring;
according to the risk identification system, the analysis module is used for correlating the acquisition modules with each other, the occurrence frequency and the hazard degree of the risk items are analyzed, the problems that the conventional food safety risk identification is not systematic and low in efficiency are solved, and the scientization and the high efficiency of the risk identification are realized;
the risk identification system disclosed by the invention can display and search the risk level of the risk item by setting the display device, so that the convenience and the rapidness of the system are embodied, and the system can be conveniently interacted with a user.
Drawings
Fig. 1 is a flowchart of a food safety risk identification method according to an embodiment of the disclosure.
Fig. 2 is a flowchart of an embodiment of step S110 in fig. 1.
Fig. 3 is a flowchart of an embodiment of step S120 in fig. 1.
Fig. 4 is a flowchart of an embodiment of step S130 in fig. 1.
Fig. 5 is a flowchart of an embodiment of step S140 in fig. 1.
Fig. 6 is a schematic diagram of risk item hazard classification according to an embodiment of the disclosure.
Fig. 7 is a flowchart of an embodiment of step S160 in fig. 1.
Fig. 8 is a two-dimensional quadrant graph display of a risk item according to an embodiment of the present disclosure.
Fig. 9 is a block diagram of a food safety risk identification system of an embodiment of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings. In the specification of the present disclosure, reference to "one embodiment" means that a specific feature, structure, or parameter, step, or the like described in the embodiment is included in at least one embodiment according to the present disclosure. Thus, appearances of the phrases such as "in one embodiment," "in one embodiment," and the like in this specification may, but do not necessarily, all refer to the same embodiment, nor do the phrases such as "in another embodiment," "in a different embodiment of the disclosure," and the like may be used in all instances to indicate that a particular feature is included in a particular embodiment. Those of skill in the art will understand that the particular features, structures or parameters, steps, etc., disclosed in one or more embodiments of the disclosure may be combined in any suitable manner.
According to the basic concept of the disclosure, a food safety risk identification method is provided, and the grade of a risk item can be accurately and comprehensively identified by integrating the contents in an internal food safety information database and a risk item hazard index database, so that a basis is provided for food production and monitoring.
Fig. 1 is a flowchart of a food safety risk identification method according to an embodiment of the disclosure. As shown in fig. 1, a food safety risk identification method according to an embodiment of the present disclosure may include the following steps:
s110: acquiring external food safety limit data and establishing an external food safety limit database;
s120: acquiring monitoring data of internal risk-containing items, and determining an internal food safety information database according to the external food safety limit database;
s140: determining a risk item hazard index database according to the daily allowable intake and the food category consumption;
s160: and determining the risk item grade according to the internal food safety information database and the risk item hazard index database.
In step s100, an external food safety limit database may be established by obtaining external food safety limit data, where the foreign food safety limit data may be obtained on a corresponding official website or may be input through an input device after searching for corresponding data. In some embodiments, the establishing a food safety limit database at home and abroad, as shown in fig. 2, may include:
step S111: the food safety limits of countries such as China, CAC, European Union and the like are recorded into a database according to food categories and risk items (for example, the food safety limits are certain heavy metal elements, and lead can be used for example); and
step S112: and determining risk item information tables of different food categories and different national limit quantities. For example, the information sheet content may include a dairy product, the included risk item lead, and the defined content of the risk item.
In step S120, monitoring data of internal risk-containing items may be obtained, and an internal food safety information database may be determined according to the external food safety limit database in step S110. And establishing an internal food safety information database. As shown in fig. 3, in some embodiments, S120 may include:
step S121: and recording the risk monitoring data in the enterprise into a database. The internal risk monitoring data information may include food category, risk item, monitoring time, monitoring result, monitoring unit and/or monitoring department.
Step S122: calculating monitoring statistics (such as range, maximum value, minimum value, median value and/or average value of the monitoring data) of a set food category, a set monitoring time and a set risk item;
step S123: and judging whether the monitoring data is qualified or not according to the monitoring result and the limit standard of the external food safety limit data, such as judging whether the monitoring data is qualified or not according to the monitoring result and the external food safety limit data in the step S110 (for example, judging whether the monitoring data is qualified or not according to the limit judgment in China, comparing the monitoring data with limits of CAC or European Union if the monitoring data is not qualified in China, judging that the monitoring data is qualified if the monitoring data is less than or equal to the corresponding limit and unqualified if the monitoring data is.
Step S124: and counting the unqualified times of the monitoring data according to the risk items, calculating the internal risk occurrence frequency, and arranging the risk items from high to low according to the occurrence frequency.
In step S140, a risk item hazard index database may be determined according to the daily allowable intake (ADI) and the consumption amount of the food category. That is, the total intake allowed per day is also taken into account in the analysis of risk items. In some embodiments, as shown in fig. 5, step S140 may include:
step S141: the daily allowable intake of the risk items is entered into a database, which may be obtained from the external internet or manually entered.
Step S142: recording different food categories and corresponding average consumption into a database;
step S143: calculating the daily maximum intake for different food categories; may be calculated based on the daily maximum intake and the average consumption of the various food products;
step S144: ranking the hazard level of the risk item according to the daily maximum intake; for example, risk items may be ranked from low to high, with higher maximum intake and lower risk. As shown in fig. 6, it divides the degree of harm into low risk (rank 68-100%), medium risk (rank 34-67%), and high risk (rank top 33%) by the interval to which the rank belongs.
In some embodiments, in parallel with steps S120 and S140, step S130 may be further included: and meanwhile, determining the risk item level according to an external food safety information base. As illustrated in fig. 4, step S130 may include:
s131: acquiring external food safety information data and recording the data into a database; for example, food safety information in a national market regulatory administration, agricultural rural, national health and wellness committee, european food safety agency, U.S. food and drug administration, U.S. department of agriculture, world health organization, and/or united nations food and agriculture organization website may be entered into a database.
S132, classifying the external food safety information data according to food categories, risk items, monitoring countries and monitoring time; for example, the food category, risk item, monitoring country, monitoring time are classified.
S133: and calculating the occurrence frequency of the external risks according to the risk items, and arranging the risk items from high to low according to the occurrence frequency. For example, the occurrence frequency of each risk item is calculated, and the risk items are arranged according to the occurrence frequency.
In step S160, the databases involved in steps S120, S130 and S140 may be associated with each other. As shown in fig. 7, the method of step S160 may include:
step S161: in a risk identification system, establishing a relation between an internal food safety information database and a risk item hazard index database and an external food safety information database by using risk items; that is, in a risk identification system, the various databases are linked by risk items.
Step S162: and forming a risk item, hazard degree, internal occurrence frequency and external occurrence frequency data table.
Step S163: and adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk items.
Step S164: and making two-dimensional quadrant graphs of different risk items according to the hazard degree and the occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs. A schematic two-dimensional quadrant graph is shown in fig. 8, in which the abscissa is the degree of hazard, the ordinate is the frequency of occurrence, the upper right region is labeled high risk, the middle region is labeled medium risk, and the left region is labeled low risk.
The present disclosure also provides a food safety risk identification system, as shown in fig. 9, the food safety risk identification system of this embodiment includes: the system comprises an external limit information acquisition module, an internal safety information determination module, a risk item hazard index determination module and a risk analysis module, wherein the specific modules realize the identification method of the embodiment and can achieve scientific and efficient risk identification effect.
As shown in fig. 9, the external limit information obtaining module 910 is configured to obtain external food safety limit data and establish an external food safety limit database; the internal safety information determining module 920 is configured to obtain monitoring data of internal risk-containing items, and determine an internal food safety information database according to the external food safety limit database; the risk item hazard index determining module 940 is configured to determine a risk item hazard index database according to the daily allowable intake and the food category consumption; the risk analysis module 960 is configured to determine a risk item rating based on the internal food safety information database and the risk item hazard indicator database.
Of course, corresponding to the risk identification method described above, the food safety risk identification system may further include an external food safety information determination module 930, which is configured to obtain external food safety information data and enter the external food safety information database.
The internal safety information determination module 920, the risk item hazard index determination module 940, and the external food safety information determination module 930 may be regarded as data silos of the whole system, and provide data information support for the system, and are used for storing risk item limit, risk monitoring data, internal food safety information of the enterprise, external food safety information, risk item ADI data, and/or average food consumption. An analysis model, a user interface.
In some embodiments, the external food safety information determination module 930 comprises: the external food safety information input submodule acquires external food safety information data and inputs the external food safety information data into the database; the external food safety information classification submodule classifies external food safety information data according to food categories, risk items, monitoring countries and monitoring time; and the external risk occurrence frequency determining submodule calculates the external risk occurrence frequency according to the risk items and arranges the risk items from high to low according to the occurrence frequency.
In some embodiments, the external quota information obtaining module 910 includes: and the external limit information input submodule inputs food safety limits at home and abroad into the database according to food categories and risk items, and the risk item information table determination submodule determines risk item information tables with different food categories and different national limits.
In some embodiments, the internal security information determination module 920 includes: the internal risk monitoring data information input sub-module is used for inputting the internal risk monitoring data of the enterprise into a database, and the internal risk monitoring data information comprises food categories, risk items, monitoring time, monitoring results, monitoring units and/or monitoring departments; the internal monitoring data determining submodule calculates to obtain monitoring statistical data of set food types, set monitoring time and set risk items; the limit standard judgment submodule judges whether the monitoring data is qualified or not according to the monitoring result and the limit standard of the external food safety limit data; and the internal risk occurrence frequency determining submodule calculates the internal risk occurrence frequency according to the unqualified times of the statistical monitoring data of the risk items, and arranges the risk items from high to low according to the occurrence frequency.
In some embodiments, the risk item hazard indicator determination module 940 includes: the risk item hazard index recording submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and comprises: the daily intake recording submodule records the daily allowable intake of the risk items into a database; the average consumption amount recording submodule records different food categories and corresponding average consumption amounts into a database; a maximum intake determination submodule for calculating the daily maximum intake of different food categories; and the risk item hazard degree determining submodule arranges the hazard degrees of the risk items according to the daily highest intake.
In some embodiments, risk analysis module 960 includes: the association submodule establishes a connection between the internal food safety information database and the risk item hazard index database and the external food safety information database by using the risk items; the association data table determining submodule is used for forming a risk item, a hazard degree, an internal generation frequency and an external generation frequency data table; the overall risk frequency determining submodule is used for adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk items; and the hazard degree image determining submodule is used for making two-dimensional quadrant graphs of different risk items according to hazard degrees and occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs.
In some embodiments, the system further comprises a display device 970 for presenting and searching the risk level of the risk item. The display device may be any electronic device that can perform a display function in the related art.
In summary, the embodiments of the present disclosure provide a method and a system for identifying food safety risks, where risk item limit, internal food safety risk information, external food safety risk information, and risk item hazard index databases are established, and an analysis model is used to correlate the databases, analyze occurrence frequency and hazard degree of risk items, output risk levels of the risk items, and finally identify items with high risk. The food safety risk identification method solves the problems of non-systematic food safety risk identification and low efficiency in the past, realizes the scientization and high efficiency of risk identification, and lays a good foundation for effectively preventing food safety risks.
In this disclosure, the term "and/or" may have been used. As used herein, the term "and/or" means one or the other or both (e.g., a and/or B means a or B or both a and B).
In the description above, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It will be apparent, however, to one skilled in the art, that one or more other embodiments may be practiced without some of these specific details. The specific embodiments described are not intended to limit the disclosure but rather to illustrate it. The scope of the present disclosure is not to be determined by the specific examples provided above but only by the claims below. In other instances, well-known circuits, structures, devices, and operations are shown in block diagram form, rather than in detail, in order not to obscure an understanding of the description. Where considered appropriate, reference numerals or terminal portions of reference numerals have been repeated among the figures to indicate corresponding or analogous elements, optionally having similar characteristics or identical features, unless otherwise specified or evident.
Each functional unit/subunit/module/submodule in the present disclosure may be hardware, for example, the hardware may be a circuit, including a digital circuit, an analog circuit, and the like. Physical implementations of hardware structures include, but are not limited to, physical devices including, but not limited to, transistors, memristors, and the like. The computing module in the computing device may be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, ASIC, and the like. The memory unit may be any suitable magnetic or magneto-optical storage medium, such as RRAM, DRAM, SRAM, EDRAM, HBM, HMC, etc.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions.
The above-mentioned embodiments are intended to illustrate the objects, aspects and advantages of the present disclosure in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (16)
1. A food safety risk identification method, comprising:
acquiring external food safety limit data and establishing an external food safety limit database;
acquiring monitoring data of internal risk-containing items, and determining an internal food safety information database according to the external food safety limit database;
determining a risk item hazard index database according to the daily allowable intake and the food category consumption;
and determining the risk item grade according to the internal food safety information database and the risk item hazard index database.
2. The method of claim 1, wherein the risk item level is determined based on the internal food safety information database and the risk item hazard index database, and wherein the risk item level is determined based on an external food safety information database.
3. The food safety risk identification method according to claim 1, wherein the obtaining of external food safety limit data and establishing of an external food safety limit database comprises:
the food safety limit at home and abroad is recorded into a database according to food categories and risk items,
and determining risk item information tables of different food categories and different national limit quantities.
4. The food safety risk identification method according to claim 1, wherein the determining an internal food safety information database comprises:
recording internal risk monitoring data of an enterprise into a database, wherein the internal risk monitoring data information comprises food categories, risk items, monitoring time, monitoring results, monitoring units and/or monitoring departments;
calculating to obtain set food types, set monitoring time and set monitoring statistical data of risk items;
judging whether the monitoring data are qualified or not according to the monitoring result and the limit standard of the external food safety limit data;
and counting the unqualified times of the monitoring data according to the risk items, calculating the internal risk occurrence frequency, and arranging the risk items from high to low according to the occurrence frequency.
5. The food safety risk identification method according to claim 4, wherein the monitoring statistics comprise data ranges, maximum values, minimum values, median values and/or average values.
6. The food safety risk identification method according to claim 2, wherein the external food safety information base is established in a manner comprising:
acquiring external food safety information data and recording the data into a database;
classifying external food safety information data according to food categories, risk items, monitoring countries and monitoring time;
and calculating the occurrence frequency of the external risks according to the risk items, and arranging the risk items from high to low according to the occurrence frequency.
7. The food safety risk identification method according to claim 1, wherein determining a risk item hazard index database based on daily allowable intake and food category consumption comprises:
entering daily allowable intake of risk items into a database;
recording different food categories and corresponding average consumption into a database;
calculating the daily maximum intake for different food categories;
the hazard level of the risk item is ranked according to the highest daily intake.
8. The food safety risk identification method according to claim 2, wherein determining a risk item level according to the internal food safety information database and the risk item hazard index database comprises:
in a risk identification system, establishing a relation between an internal food safety information database and a risk item hazard index database and an external food safety information database by using risk items;
forming a risk item, hazard degree, internal generation frequency and external generation frequency data table;
adding the internal generation frequency and the external generation frequency to obtain the total occurrence frequency of the risk items;
and making two-dimensional quadrant graphs of different risk items according to the hazard degree and the occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs.
9. A food safety risk identification system, comprising:
the external limit information acquisition module is used for acquiring external food safety limit data and establishing an external food safety limit database;
the internal safety information determining module is used for acquiring monitoring statistical data of internal risk-containing items and determining an internal food safety information database according to the external food safety limit database;
the risk item hazard index determining module is used for determining a risk item hazard index database according to the daily allowable intake and the food category consumption;
and the risk analysis module is used for determining the risk item grade according to the internal food safety information database and the risk item hazard index database.
10. The system of claim 9, further comprising:
and the external food safety information determining module is used for acquiring external food safety information data and inputting the external food safety information data into the external food safety information database.
11. The system of claim 10, wherein the external food safety information determination module comprises:
the external food safety information input submodule acquires external food safety information data and inputs the external food safety information data into the database;
the external food safety information classification submodule classifies external food safety information data according to food categories, risk items, monitoring countries and monitoring time;
and the external risk occurrence frequency determining submodule calculates the external risk occurrence frequency according to the risk items and arranges the risk items from high to low according to the occurrence frequency.
12. The system of claim 9, wherein the external quota information obtaining module comprises:
an external limit information input submodule for inputting the food safety limit at home and abroad into a database according to food categories and risk items,
and the risk item information table determining submodule determines risk item information tables of different food categories and different country limits.
13. The system of claim 9, wherein the internal security information determination module comprises:
the internal risk monitoring data information input sub-module is used for inputting the internal risk monitoring data of the enterprise into a database, and the internal risk monitoring data information comprises food categories, risk items, monitoring time, monitoring results, monitoring units and/or monitoring departments;
the internal monitoring data determining submodule calculates to obtain monitoring statistical data of set food types, set monitoring time and set risk items;
the limit standard judgment submodule judges whether the monitoring data is qualified or not according to the monitoring result and the limit standard of the external food safety limit data;
and the internal risk occurrence frequency determining submodule calculates the internal risk occurrence frequency according to the unqualified times of the statistical monitoring data of the risk items, and arranges the risk items from high to low according to the occurrence frequency.
14. The system of claim 9, wherein the risk item hazard index determination module comprises:
the risk item hazard index recording submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and comprises:
the daily intake recording submodule records the daily allowable intake of the risk items into a database;
the average consumption amount recording submodule records different food categories and corresponding average consumption amounts into a database;
a maximum intake determination submodule for calculating the daily maximum intake of different food categories;
and the risk item hazard degree determining submodule arranges the hazard degrees of the risk items according to the daily highest intake.
15. The system of claim 10, wherein the risk analysis module comprises:
the association submodule establishes a connection between the internal food safety information database and the risk item hazard index database and the external food safety information database by using the risk items;
the association data table determining submodule is used for forming a risk item, a hazard degree, an internal generation frequency and an external generation frequency data table;
the overall risk frequency determining submodule is used for adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk items;
and the hazard degree image determining submodule is used for making two-dimensional quadrant graphs of different risk items according to hazard degrees and occurrence total frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graphs.
16. The system of claim 9, further comprising:
and the display device is used for displaying and searching the risk level of the risk item.
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