CN111260168B - Food safety risk identification method and system - Google Patents
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- 235000013305 food Nutrition 0.000 title claims abstract description 176
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- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
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Abstract
The present 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 an internal risk-containing item, 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 the food safety event caused by incomplete food safety risk identification, and effectively prevents the occurrence of food safety risk.
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
Food safety risk identification is a precondition of food safety management, at present, a method for identifying food safety risk is not provided with a system, information is basically input and screened manually, an analysis means is behind, perception and prediction capabilities of risk factors are insufficient, and a large amount of food safety information and data on the Internet cannot be effectively identified and analyzed in time. There is an urgent need for a method for identifying food safety risk, which can comprehensively analyze risk factors, realize scientificization and high efficiency of risk identification, and lay a good foundation for effectively preventing food safety risk.
Disclosure of Invention
Accordingly, an objective of the present disclosure is to provide a method and a system for identifying food safety risk, which solve at least some of the above-mentioned problems.
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 an internal risk-containing item, 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 according to the internal food safety information database and the risk item hazard index database, determining the risk item level is performed according to an external food safety information database.
In a further embodiment, the obtaining the external food safety limit data, creating an external food safety limit database, comprises: and recording the domestic and foreign food safety limits into a database according to the food types and the risk items, and determining risk item information tables of different food types and different national limits.
In a further embodiment, the determining an internal food safety information database comprises: the method comprises the steps of recording enterprise internal risk monitoring data into a database, wherein the internal risk monitoring data information comprises food categories, risk projects, monitoring time, monitoring results and/or monitoring units; calculating to obtain the food category, the monitoring time and the monitoring data of 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 occurrence frequency of the internal risk, and arranging the risk items from high to low according to the occurrence frequency.
In further embodiments, the monitoring statistics include data ranges, maxima, minima, median, and/or mean values.
In a further embodiment, the method for establishing the external food safety information base comprises the following steps: acquiring external food safety information data and inputting the external food safety information data into a database; classifying the external food safety information data according to food types, risk projects, monitoring countries and monitoring time; and calculating the occurrence frequency of the external risk according to the risk items, and arranging the risk items from high to low according to the occurrence frequency.
In a further embodiment, determining the risk item hazard index database based on the daily allowable intake and the food category consumption comprises: entering daily allowable intake of the risk item into a database; the average consumption of different food types is input into a database; calculating the daily maximum intake of different food categories; the risk items were ranked according to the highest daily intake.
In a further embodiment, determining a risk item level from the internal food safety information database and the risk item hazard index database comprises: in the risk identification system, establishing a connection between an internal food safety information database and a risk item hazard index database and an external food safety information database by using a risk item; forming a risk item, a hazard degree, an internal occurrence frequency and an external occurrence frequency data table; adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk item; and (3) making a two-dimensional quadrant graph 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 graph.
According to another aspect of the present disclosure, there is provided 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 data of the 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: 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 sub-module acquires external food safety information data and inputs the external food safety information data into the database; the external food safety information classification sub-module classifies the external food safety information data according to food categories, risk projects, monitoring countries and monitoring time; and the external risk occurrence frequency determination 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 limit information acquisition module comprises: and the external limit information input submodule is used for inputting domestic and foreign food safety limits into the database according to food types and risk items, and the risk item information table determining submodule is used for determining risk item information tables of different food types and different national limits.
In a further embodiment, the internal security information determination module 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 projects, monitoring time, monitoring results and/or monitoring units; the internal monitoring data determining submodule calculates the monitoring data of the food category, the monitoring time and the risk item; the limit standard judging sub-module 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 occurrence frequency of the internal risk according to the unqualified times of the risk item statistical monitoring data, and arranges the risk items from high to low according to the occurrence frequency.
In a further embodiment, the risk item hazard index determination module comprises: the risk item hazard index entry submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and the risk item hazard index database comprises: a daily intake entry submodule for entering daily allowable intake of the risk item into a database; the average consumption amount input submodule inputs the average consumption amounts of different food categories into the database; a maximum intake determination submodule that calculates a daily maximum intake for different food categories; the risk item hazard level determination submodule ranks hazard levels of risk items according to the highest daily intake.
In a further embodiment, the risk analysis module comprises: the association sub-module 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 item; the associated data table determining submodules form a risk item, a hazard degree, an internal occurrence frequency and an external occurrence 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 overall occurrence frequency of the risk item; and the hazard degree image determining sub-module is used for making a two-dimensional quadrant graph of different risk items according to hazard degrees and total occurrence frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graph.
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.
In the identification method, the output risk item is determined by combining the internal food safety information database and the risk item hazard index database, so that the food safety event caused by incomplete food safety risk identification is reduced, and the occurrence of food safety risk is effectively prevented;
in the identification method, the comprehensiveness and accuracy of risk identification are further improved by further combining an external food safety information base, so that assistance is provided for food production and monitoring;
according to the risk identification system, the analysis module is utilized to correlate the acquisition modules, so that the occurrence frequency and the hazard degree of risk items are analyzed, the problems that the conventional food safety risk identification is not systematic and the efficiency is low are solved, and the scientization and the high efficiency of the risk identification are realized;
according to the risk identification system, the display device is set to display and search the risk level of the risk item, so that the convenience and the rapidness of the system are embodied, and the risk identification system can be interacted with a user conveniently.
Drawings
Fig. 1 is a flow chart of a food safety risk identification method of an embodiment of the present disclosure.
FIG. 2 is a flow chart of one embodiment of step S110 in FIG. 1.
FIG. 3 is a flow chart of one embodiment of step S120 of 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 level partitioning according to an embodiment of the present disclosure.
Fig. 7 is a flowchart of an embodiment of step S160 in fig. 1.
Fig. 8 is a two-dimensional quadrant diagram illustration of a risk item in accordance with 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 purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same. Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or parameter, step, or the like described in the embodiment is at least included in one embodiment according to the present disclosure. Thus, in the description of the present disclosure, terms such as "in accordance with one embodiment," "in one embodiment," and the like, if used, are not intended to be specific for the same embodiment, nor are terms such as "in another embodiment," "in accordance with a different embodiment of the present disclosure," "in another embodiment of the present disclosure," and the like, intended to be specific for the feature in question to be included in only a particular different embodiment. It should be appreciated by those of skill in the art that the specific features, structures or parameters, steps, etc. disclosed in one or more of the embodiments of the disclosure may be combined in any suitable manner.
According to the basic conception of the present disclosure, a food safety risk identification method is provided, and by integrating the contents in an internal food safety information database and a risk item hazard index database, the grade of a risk item can be accurately and comprehensively identified, so as to provide a basis for food production and monitoring.
Fig. 1 is a flow chart of a food safety risk identification method of an embodiment of the present disclosure. As shown in fig. 1, the food security risk identification method according to the embodiment of the present disclosure may include the steps of:
s110: acquiring external food safety limit data and establishing an external food safety limit database;
s120: acquiring monitoring data of an internal risk-containing item, 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 acquiring external food safety limit data, which may be acquired on a corresponding official website or input through an input device after searching for corresponding data. In some embodiments, the establishing a domestic and foreign food safety limit database, as shown in fig. 2, may include:
step S111, inputting food safety limits of countries such as China, CAC, european Union and the like into a database according to food categories and risk projects (for example, the food safety limits are certain heavy metal elements, for example, lead); and
step S112: a risk item information table for different food categories and different national limits is determined. For example, the information table content may include milk-based products, included risk item lead, and a defined content of risk items.
In step S120, monitoring data of the internal risk-containing item may be acquired, and an internal food safety information database may be determined from the external food safety limit database in step S110. The internal food safety information database is established. As shown in fig. 3, in some embodiments, S120 may include:
step S121: and recording the enterprise internal risk monitoring data 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, among others.
Step S122: calculating monitoring statistics (which may include, for example, a range, a maximum value, a minimum value, a median value, and/or an average value of the monitoring data) of the set food category, the set monitoring time, and the set risk item;
step S123: and judging whether the monitoring data is qualified according to the monitoring result and the limit standard of the external food safety limit data, for example, judging whether the monitoring data is qualified according to the monitoring result and the external food safety limit data in step S110 (for example, judging whether the monitoring data is qualified according to the limit in China, comparing the monitoring data with the limit in CAC or European Union if the monitoring data is not qualified in China, and judging that the monitoring data is qualified according to the corresponding limit and is not qualified according to the corresponding limit.
Step S124: and counting the unqualified times of the monitoring data according to the risk items, calculating the occurrence frequency of the internal risk, and arranging the risk items from high to low according to the occurrence frequency.
Wherein, for step S140, a risk item hazard index database may be determined according to the daily allowable intake (ADI) and the food category consumption. I.e. the total daily intake allowed is also taken into account for analysis of risk projects. In some embodiments, as shown in fig. 5, step S140 may include:
step S141: the daily allowable intake of the risk item is entered into a database, which can be obtained from the external internet or entered manually.
Step S142: inputting different food types and corresponding average consumption into a database;
step S143: calculating the daily maximum intake of different food categories; may be calculated based on the maximum daily intake and the average consumption of the various food products;
step S144: ranking the hazard levels of the risk items according to the highest daily intake; for example, the hazard level may range from low to high, ranging from higher intake to lower hazard level. As shown in fig. 6, it classifies the hazard level into low risk (rank 68-100%), medium risk (rank 34-67%), and high risk (rank front 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 grade according to an external food safety information base. As described in fig. 4, step S130 may include:
s131: acquiring external food safety information data and inputting the external food safety information data into a database; for example, food safety information in the national market administration, agricultural rural area, national health committee, european food safety agency, united states food and drug agency, united states agricultural area, world health organization, and/or united nations grain and agricultural organization website may be entered into the database.
S132, classifying the external food safety information data according to food categories, risk projects, monitoring countries and monitoring time; for example, the monitoring time is classified according to the food category, risk item, monitoring country.
S133: and calculating the occurrence frequency of the external risk 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 correlated with each other. As shown in fig. 7, the method of step S160 may include:
step S161: in the risk identification system, establishing a connection between an internal food safety information database and a risk item hazard index database and an external food safety information database by using a risk item; i.e. in a risk identification system, the various databases are linked by risk items.
Step S162: and forming a risk item, a hazard degree, an internal occurrence frequency and an 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 item.
Step S164: and (3) making a two-dimensional quadrant graph 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 graph. A schematic two-dimensional quadrant is shown in fig. 8, in which the degree of hazard is indicated on the abscissa, the occurrence frequency is indicated on the ordinate, the upper right region is marked with high risk, the middle region is marked with medium risk, and the left region is marked with low risk.
The present disclosure also provides a food security risk identification system, as shown in fig. 9, the food security risk identification system of this embodiment includes: the specific modules realize the identification method of the embodiment and can achieve scientific and efficient risk identification effects.
As shown in fig. 9, the external limit information acquisition module 910 is configured to acquire external food safety limit data and build an external food safety limit database; the internal safety information determining module 920 is configured to obtain monitoring data of an internal risk-containing item, and determine an internal food safety information database according to the external food safety limit database; the risk item hazard index determination 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 level according to the internal food safety information database and the risk item hazard index database.
Of course, the food safety risk identification system may further include an external food safety information determination module 930 for acquiring external food safety information data and entering an external food safety information database, corresponding to the risk identification method described above.
The internal security information determining module 920, the risk item hazard index determining module 940, and the external food security information determining module 930 may be considered as a data bin of the whole system, and provide data information support for the system, for storing risk item limits, risk monitoring data, internal food security information of an enterprise, external food security information, risk item ADI data, and/or average consumption of food. Analysis model, user interface.
In some embodiments, the external food safety information determination module 930 includes: the external food safety information input sub-module acquires external food safety information data and inputs the external food safety information data into the database; the external food safety information classification sub-module classifies the external food safety information data according to food categories, risk projects, monitoring countries and monitoring time; and the external risk occurrence frequency determination 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 limit information acquisition module 910 includes: and the external limit information input submodule is used for inputting domestic and foreign food safety limits into the database according to food types and risk items, and the risk item information table determining submodule is used for determining risk item information tables of different food types 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 projects, monitoring time, monitoring results, monitoring units and/or monitoring departments; the internal monitoring data determining submodule calculates monitoring statistical data of the set food category, the set monitoring time and the set risk item; the limit standard judging sub-module 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 occurrence frequency of the internal risk according to the unqualified times of the risk item statistical monitoring data, and arranges the risk items from high to low according to the occurrence frequency.
In some embodiments, the risk item hazard index determination module 940 includes: the risk item hazard index entry submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and the risk item hazard index database comprises: a daily intake entry submodule for entering daily allowable intake of the risk item into a database; the average consumption input submodule is used for inputting different food types and corresponding average consumption into the database; a maximum intake determination submodule that calculates a daily maximum intake for different food categories; the risk item hazard level determination submodule ranks hazard levels of risk items according to the highest daily intake.
In some embodiments, risk analysis module 960 includes: the association sub-module 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 item; the associated data table determining submodules form a risk item, a hazard degree, an internal occurrence frequency and an external occurrence 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 overall occurrence frequency of the risk item; and the hazard degree image determining sub-module is used for making a two-dimensional quadrant graph of different risk items according to hazard degrees and total occurrence frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graph.
In some embodiments, the system further comprises a display device 970 for displaying and finding a risk level for a risk item. The display device may be various electronic devices that can realize a display function in the related art.
In summary, the embodiments of the present disclosure provide a method and a system for identifying food security risk, by establishing a risk item limit, internal food security risk information, external food security risk information, and risk item hazard index database, associating each database by using an analysis model, analyzing occurrence frequency and hazard degree of risk items, outputting risk level of risk items, and finally identifying items with high risk. The method for identifying the food safety risk solves the problems of no system and low efficiency of the conventional food safety risk identification, realizes scientization and high efficiency of the risk identification, and lays a good foundation for effectively preventing the food safety risk.
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 above description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the various embodiments of the present 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 are rather illustrative. 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 the understanding of this description. Where considered appropriate, reference numerals or ending portions of reference numerals have been repeated among the figures to indicate corresponding or analogous elements optionally having similar or identical characteristics, unless otherwise specified or apparent.
Each functional unit/sub-unit/module/sub-module in this disclosure may be hardware, for example, the hardware may be a circuit, including a digital circuit, an analog circuit, and so on. 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 modules in the computing device may be any suitable hardware processor, such as CPU, GPU, FPGA, DSP and ASIC, etc. The storage unit may be any suitable magnetic or magneto-optical storage medium, such as RRAM, DRAM, SRAM, EDRAM, HBM, HMC, etc.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above.
While the foregoing is directed to embodiments of the present disclosure, other and further details of the invention may be had by the present application, it is to be understood that the foregoing description is merely exemplary of the present disclosure and that no limitations are intended to the scope of the disclosure, except insofar as modifications, equivalents, improvements or modifications may be made without departing from the spirit and principles of the present disclosure.
Claims (7)
1. A method of identifying a risk of food safety comprising:
acquiring external food safety limit data and establishing an external food safety limit database;
acquiring monitoring data of an internal risk-containing item, 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;
determining a risk item level according to the internal food safety information database and the risk item hazard index database;
wherein, determining the risk item level according to the internal food safety information database and the risk item hazard index database comprises:
in the risk identification system, establishing a connection between an internal food safety information database and a risk item hazard index database and an external food safety information database by using a risk item;
forming a risk item, a hazard degree, an internal occurrence frequency and an external occurrence frequency data table;
adding the internal occurrence frequency and the external occurrence frequency to obtain the total occurrence frequency of the risk item;
making a two-dimensional quadrant graph 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 graph;
wherein:
the obtaining of the external food safety limit data and the establishment of the external food safety limit database comprise the following steps:
the food safety limit at home and abroad is recorded into a database according to the food category and risk item,
determining risk item information tables of different food categories and different national limits;
the determining an internal food safety information database comprising:
recording internal risk monitoring data information into a database, wherein the internal risk monitoring data information comprises food categories, risk projects, monitoring time, monitoring results, monitoring units and/or monitoring departments;
calculating to obtain the set food category, the set monitoring time and the monitoring statistical data of the set 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;
counting the unqualified times of monitoring data according to risk items, calculating the occurrence frequency of internal risks, and arranging the risk items from high to low according to the occurrence frequency;
the determining the risk item hazard index database according to the daily allowable intake and the food category consumption comprises the following steps:
entering daily allowable intake of the risk item into a database;
inputting different food types and corresponding average consumption into a database;
calculating the daily maximum intake of different food categories;
the risk items were ranked according to the highest daily intake.
2. The method of claim 1, wherein determining the risk item level is performed in accordance with the internal food safety information database and a risk item hazard index database, while determining the risk item level is also performed in accordance with an external food safety information database.
3. The food safety risk identification method of claim 1, wherein the monitoring statistics comprise data ranges, maxima, minima, median and/or average.
4. The method for identifying a risk of food safety according to claim 2, wherein the method for establishing the external food safety information base comprises:
acquiring external food safety information data and inputting the external food safety information data into a database;
classifying the external food safety information data according to food types, risk projects, monitoring countries and monitoring time;
and calculating the occurrence frequency of the external risk according to the risk items, and arranging the risk items from high to low according to the occurrence frequency.
5. A food security 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 the 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;
the risk analysis module is used for determining the risk item level according to the internal food safety information database and the risk item hazard index database;
wherein, the risk analysis module includes:
the association sub-module 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 item;
the associated data table determining submodules form a risk item, a hazard degree, an internal occurrence frequency and an external occurrence 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 overall occurrence frequency of the risk item;
the hazard degree image determining submodule is used for making a two-dimensional quadrant graph of different risk items according to hazard degrees and total occurrence frequency, and dividing the risk items according to high risk, medium risk and low risk through the two-dimensional quadrant graph;
wherein:
the external food safety information determination module includes:
the external food safety information input sub-module acquires external food safety information data and inputs the external food safety information data into the database;
the external food safety information classification sub-module classifies the external food safety information data according to food categories, risk projects, monitoring countries and monitoring time;
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;
the external limit information acquisition module includes:
the external limit information input sub-module inputs the domestic and foreign food safety limit into a database according to the food category and risk item,
the risk item information table determining submodule determines risk item information tables of different food categories and different country limits;
the internal security information determination module includes:
the internal risk monitoring data information input submodule is used for inputting the internal risk monitoring data information into a database, and the internal risk monitoring data information comprises food categories, risk projects, monitoring time, monitoring results, monitoring units and/or monitoring departments;
the internal monitoring data determining submodule calculates monitoring statistical data of the set food category, the set monitoring time and the set risk item;
the limit standard judging sub-module 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;
the internal risk occurrence frequency determining submodule calculates the occurrence frequency of the internal risk according to the unqualified times of the risk item statistical monitoring data, and arranges the risk items from high to low according to the occurrence frequency;
the risk project hazard index determination module comprises:
the risk item hazard index entry submodule determines a risk item hazard index database according to the daily allowable intake and the food category consumption, and the risk item hazard index database comprises:
a daily intake entry submodule for entering daily allowable intake of the risk item into a database;
the average consumption input submodule is used for inputting different food types and corresponding average consumption into the database;
a maximum intake determination submodule that calculates a daily maximum intake for different food categories;
the risk item hazard level determination submodule ranks hazard levels of risk items according to the highest daily intake.
6. The system of claim 5, further comprising:
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.
7. The system of claim 5, further comprising:
and the display device is used for displaying and searching the risk level of the risk item.
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