CN116051127A - Food safety risk monitoring method and device, medium and electronic equipment - Google Patents
Food safety risk monitoring method and device, medium and electronic equipment Download PDFInfo
- Publication number
- CN116051127A CN116051127A CN202211677867.1A CN202211677867A CN116051127A CN 116051127 A CN116051127 A CN 116051127A CN 202211677867 A CN202211677867 A CN 202211677867A CN 116051127 A CN116051127 A CN 116051127A
- Authority
- CN
- China
- Prior art keywords
- data
- detection
- food
- food safety
- risk monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a food safety risk monitoring method, a food safety risk monitoring device, a food safety risk monitoring medium and electronic equipment, and belongs to the technical field of food safety supervision. The method comprises the following steps: acquiring personalized information of food to be monitored; providing a monitoring item and a detection method for the food to be monitored according to the personalized information of the food to be monitored; acquiring detection data of a detection index obtained by applying the detection method; and traversing a food safety risk monitoring database according to the detection data of the detection indexes to obtain the food safety risk monitoring conclusion. The device comprises a personalized information acquisition module, a detection project, a detection method providing module, a detection data acquisition module and a food safety risk monitoring conclusion making module. The medium and the electronic device can be used to implement the method. The method can fuse data of all government departments related to food safety, so that more accurate detection results are obtained according to all-round detection data, and accurate tracing of sudden food safety events is realized.
Description
Technical Field
The invention relates to the technical field of food safety supervision, in particular to a food safety monitoring method, a food safety monitoring device, a food safety monitoring medium and electronic equipment.
Background
In the prior art, food safety risk monitoring data are mastered in different government departments, and the food safety risk monitoring data are characterized by large data volume, scattered sources and various formats, and comprise various structured, unstructured and semi-structured data such as databases, texts, picture foods, web pages and the like. Based on the characteristics and problems of food safety data, many students have also performed research on the collection and fusion sharing of food safety data. Each government department in the food safety field has independent data resources, the data volume is huge, and the intercommunication data information among different supervision departments is difficult to realize, at present, the government department internal application flow is adopted, the time is long, the efficiency is low, and the first time tracing to the burst food safety time is difficult.
Disclosure of Invention
In view of the above, the invention provides a method, a device, a medium and an electronic device for detecting food safety risk, which can fuse data of various government departments related to food safety, so as to obtain more accurate detection results according to all-round detection data, realize accurate tracing of sudden food safety events, and be more suitable for practical use.
In order to achieve the first objective, the technical scheme of the food safety risk monitoring method provided by the invention is as follows:
the food safety risk monitoring method provided by the invention comprises the following steps:
acquiring personalized information of food to be monitored;
providing a monitoring item and a detection method for the food to be monitored according to the personalized information of the food to be monitored;
acquiring detection data of a detection index obtained by applying the detection method;
and traversing a food safety risk monitoring database according to the detection data of the detection indexes to obtain the food safety risk monitoring conclusion.
The food safety risk monitoring method provided by the invention can be further realized by adopting the following technical measures.
Preferably, the personalized information of the food to be detected comprises one or more of the name, the place of production, the manufacturer, the production process, the batching information and the storage and transportation information of the food to be detected.
Preferably, in the step of traversing a food safety risk monitoring database according to the detection data of the detection index to obtain the food safety risk monitoring conclusion, the data information of the food safety risk monitoring database includes agricultural environment data from the rural agricultural department of the people's republic of China, food safety supervision and management data from the national market supervision and management bureau, and health medical data from the national health committee, wherein the agricultural environment data, the food safety supervision and management data, and the health medical data are data related to the food to be detected.
Preferably, the classification of the agricultural environment data, the food safety supervision data, and the health medical data into data related to the food to be detected includes:
a contaminant data dictionary comprising one or more of a chemical contaminant class code, a sampling location class code, a sample specification dictionary, a sample number unit dictionary, a detection unit institution dictionary, a food class remark dictionary, a contaminant dictionary, and a detection method dictionary;
a microorganism data dictionary including one or more of a food dictionary, a supplemental information dictionary, a packaging form dictionary, a sampling site type, a monitoring item dictionary, an identification method dictionary, and a serology typing dictionary;
the food-borne disease case data dictionary comprises one or more of a main symptom sign-whole body symptom and sign category code table, a main symptom and sign-digestive system category code table, a preliminary diagnosis category code table, an existing medical history category code table, an exposed food information-food category code table, an identification method code table and a target gene detection code table.
Preferably, the step of obtaining the detection data of the detection index obtained by applying the detection method is implemented by a data acquisition unit, and the data of the data acquisition unit comprises one or more of a query interface, a registration interface, unified identity authentication, address coding, rights management, data verification and customization interfaces.
Preferably, the step of traversing the food safety risk monitoring database according to the detection data of the detection index further comprises a step of performing data processing on the detection data of the detection index in the step of obtaining the food safety risk monitoring conclusion, wherein the data processing step is realized through a data processing unit, and the data processing method of the data processing unit comprises one or more of data fusion, data mapping, data cleaning, data management, data storage, data logging and data distribution.
Preferably, in the step of performing data processing on the detection data of the detection index, the detection data of the detection index from each food enterprise is communicated with the data processing unit through a standard unified enterprise service bus, and communication between the detection data of the detection index and the data processing unit from each food enterprise has a set period.
In order to achieve the second object, the technical scheme of the food safety risk monitoring device provided by the invention is as follows:
the food safety risk monitoring device provided by the invention comprises:
the personalized information acquisition module is used for acquiring personalized information of the food to be monitored;
the detection item and detection method providing module is used for providing a detection item and a detection method for the food to be monitored according to the personalized information of the food to be monitored;
the detection data acquisition module is used for acquiring detection data of the detection index obtained by applying the detection method;
and the food safety risk monitoring conclusion making module is used for traversing the food safety risk monitoring database according to the detection data of the detection indexes to obtain the food safety risk monitoring conclusion.
In order to achieve the third object, the technical solution of the present invention for a computer readable storage medium is as follows:
the computer readable storage medium provided by the invention stores a food safety risk monitoring program, and the food safety risk monitoring program realizes the food safety risk monitoring method provided by the invention when being executed by a processor.
In order to achieve the fourth object, the technical scheme of the electronic device provided by the invention is as follows:
the electronic equipment provided by the invention comprises a memory and a processor, wherein the memory is stored with a food safety risk monitoring program, and the food safety risk monitoring program realizes the food safety risk monitoring method provided by the invention when being executed by the processor.
According to the food safety risk monitoring method, the device, the medium and the electronic equipment, monitoring items and detection methods can be provided for production and sales enterprises of food to be monitored according to personalized information of the food to be monitored, after the production and sales enterprises of the food to be monitored detect according to the detection methods, the detected data are uploaded, at the moment, after the detected data are obtained, the food safety risk monitoring database is traversed through retrieval, and then a food safety risk monitoring conclusion can be obtained according to retrieval and comparison results, wherein the data related to the food safety risk monitoring database are unified databases obtained by integrating food safety risk monitoring data mastered by all government departments, so that the food safety risk monitoring method, the device, the medium and the electronic equipment can fuse the data related to all government departments of food safety, and further obtain more accurate detection results according to all-round detection data, and realize accurate tracing of sudden food safety events.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flowchart illustrating steps of a method for monitoring risk of food safety according to an embodiment of the present invention;
fig. 2 is a detail view of a pollutant data dictionary, a microorganism data dictionary, and a food-borne disease case data dictionary related to a food security risk monitoring method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a signal flow relationship between functional modules in the food security risk monitoring device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a food security risk monitoring device in a hardware operating environment according to an embodiment of the present invention.
Detailed Description
The invention provides a food safety risk detection method, a device, a medium and electronic equipment, which can be used for fusing data of various government departments related to food safety, so that a more accurate detection result is obtained according to all-round detection data, and accurate tracing of sudden food safety events is realized, thereby being more suitable for practical use.
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following description refers to the specific implementation, structure, characteristics and effects of the food safety risk monitoring method, device, computer readable storage medium and electronic equipment according to the invention, which are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "an embodiment" or "an embodiment" do not necessarily refer to the same embodiment. Furthermore, the described features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
The term "and/or" is herein merely an association relation describing an associated object, meaning that three relations may exist, e.g. a and/or B, specifically understood as: the composition may contain both a and B, and may contain a alone or B alone, and any of the above three cases may be provided.
Food safety risk monitoring method
Referring to fig. 1, the method for monitoring the food security risk provided by the embodiment of the invention comprises the following steps:
step S1: and acquiring personalized information of the food to be monitored.
Specifically, the personalized information of the food to be monitored refers to personalized information such as monitoring items and detection indexes determined according to the actual conditions of the food to be monitored. For example, for chinese cabbage, which belongs to a planted food, the possible included detection items may include classification levels, where the classification levels may be a plurality of classification results of organic vegetables, green vegetables, nuisanceless vegetables, etc., and the standards of the detection indexes are different for different classification results. In addition, the method can also comprise indexes such as soil environment, water environment, chemical fertilizers, pesticides and the like used in the planting process of the Chinese cabbage, and can also comprise personalized information such as picking time, and nutritional ingredients such as cellulose, vitamins and the like after picking. For example, the instant noodles may be processed foods, may include information such as monitoring items, brands, places of production, etc., and may include ingredient information, information on proliferation of microorganisms with shelf life, etc. These personalized information for the food to be monitored needs to be obtained from the production and sales units of the food to be monitored.
Step S2: according to personalized information of the food to be monitored, a monitoring item and a detection method aiming at the food to be monitored are provided.
Specifically, after the personalized information of the food to be monitored is known, the monitoring item and the detection method can be provided in a targeted manner, and particularly, for some new products or detection indexes with changed detection standards, the embodiment of the invention can provide more accurate and updated detection standards, so that the monitoring item and the detection method of the food to be monitored are advanced with time, and the obtained detection result is more accurate.
Step S3: and obtaining detection data of the detection index obtained by applying the detection method.
In particular, the detection data may be data obtained by a one-time detection, which is suitable for detection indicators, such as heavy metal content indicators, which do not change or change less with prolonged shelf life. The detection data may also be an indicator, such as a microorganism content indicator, that needs to be detected according to a detection period as the shelf life is extended. The detection may be detection data obtained by random sampling, the number of samples of each random sampling may be plural, and then, based on the detection results obtained by the detection indexes corresponding to the random sampling samples, an average may be obtained, and the average may be used as a detection result to upload.
Step S4: and traversing the food safety risk monitoring database according to the detection data of the detection indexes to obtain a food safety risk monitoring conclusion.
Specifically, since the food safety risk monitoring database integrates multi-factor data of each government department related to food safety, after obtaining the detection data of the detection index, the food safety risk monitoring database is traversed by the detection data of the detection index, so that according to all monitoring results related to the food to be monitored, the food safety risk monitoring conclusion obtained according to the above can be more comprehensive and accurate.
According to the food safety risk monitoring method provided by the embodiment of the invention, monitoring items and detection methods can be provided for production and sales enterprises of food to be monitored according to personalized information of the food to be monitored, after the production and sales enterprises of the food to be monitored detect according to the detection methods, the detected data are uploaded, at the moment, after the detected data are obtained, the food safety risk monitoring database is traversed through retrieval, and then a food safety risk monitoring conclusion can be obtained according to the retrieval and comparison results, wherein the data related to the food safety risk monitoring database are unified databases obtained by integrating and mastering the food safety risk monitoring data in all government departments, so that the food safety risk monitoring method, the food safety risk monitoring device, the food safety risk monitoring media and the electronic equipment can be fused with the data of all government departments related to food safety, and further accurate detection results can be obtained according to all-round detection data, and accurate sources of sudden food safety events can be achieved.
The personalized information of the food to be detected comprises one or more of the name, the place of production, the manufacturer, the production process, the batching information and the storage and transportation information of the food to be detected. In this case, personalized information of the food to be monitored, such as a yogurt product, which is made of milk powder, or raw cow milk, can be grasped more accurately, and the monitoring items and the monitoring indexes of the two are different; for another example, the same red date flavored yogurt, illite, mongolian, ternary products, are different in standard, and therefore, there are not exactly the same monitoring items and detection data. Other personalized information is similar and will not be described in detail here.
In the step of traversing the food safety risk monitoring database according to the detection data of the detection index to obtain the food safety risk monitoring conclusion, the data information of the food safety risk monitoring database comprises agricultural environment data from the agricultural rural area of the people's republic of China, food safety supervision and management data from the national market supervision and management bureau, and health medical data from the national health and wellness committee, the agricultural environment data, the food safety supervision and management data, and the health medical data are data related to foods to be detected. Under the condition, not only can the food to be monitored from farmland to dining tables in a full chain manner be monitored, but also the corresponding relation between the food-borne diseases and the corresponding food to be monitored can be known according to the health medical data and the association between the health medical data and the food to be monitored, so that the front-end production of the food to be monitored and the diet guidance can be better guided.
Referring to fig. 2, the classification of agricultural environment data, food safety supervision data, and health medical data into data related to food to be detected includes:
a contaminant data dictionary comprising one or more of a chemical contaminant class code, a sampling location class code, a sample specification dictionary, a sample number unit dictionary, a detection unit institution dictionary, a food class remark dictionary, a contaminant dictionary, and a detection method dictionary;
a microorganism data dictionary including one or more of a food dictionary, a supplemental information dictionary, a packaging form dictionary, a sampling site type, a monitoring item dictionary, an identification method dictionary, and a serology typing dictionary;
the food-borne disease case data dictionary comprises one or more of a main symptom sign-whole body symptom and sign category code table, a main symptom and sign-digestive system category code table, a preliminary diagnosis category code table, an existing medical history category code table, an exposed food information-food category code table, an identification method code table and a target gene detection code table.
In this case, all-chain monitoring of the food to be monitored by each government department and the correspondence between the food-borne diseases and the food to be monitored can be known and connected in series at a glance.
The step of obtaining the detection data of the detection index obtained by the application detection method is realized by a data acquisition unit, and the data of the data acquisition unit comprises one or more of a query interface, a registration interface, unified identity authentication, address coding, authority management, data verification and a customization interface. In this case, the data uploading and the query can be simpler and more convenient.
The method comprises the steps of detecting the food safety risk monitoring database according to the detection data of the detection indexes, traversing the food safety risk monitoring database to obtain a food safety risk monitoring conclusion, and carrying out data processing on the detection data of the detection indexes, wherein the data processing step is realized through a data processing unit, and the data processing method of the data processing unit comprises one or more of data fusion, data mapping, data cleaning, data management, data storage, data logging and data distribution. In this case, the retrieval of the data and the traversal in the food safety risk monitoring database is facilitated by the processing of the data.
In the step of data processing of the detection data of the detection index, the detection data of the detection index from each food enterprise is communicated with the data processing unit through a standard unified enterprise service bus, and the communication between the detection data of the detection index from each food enterprise and the data processing unit has a set period. Under such circumstances, not only can the link between each food enterprise and the food safety risk monitoring database be more convenient, but also the food safety risk of the food to be monitored can be monitored periodically at a set period.
Food safety risk monitoring device
Referring to fig. 3, a food safety risk monitoring device provided in an embodiment of the present invention includes:
and the personalized information acquisition module is used for acquiring personalized information of the food to be monitored.
Specifically, the personalized information of the food to be monitored refers to personalized information such as monitoring items and detection indexes determined according to the actual conditions of the food to be monitored. For example, for chinese cabbage, which belongs to a planted food, the possible included detection items may include classification levels, where the classification levels may be a plurality of classification results of organic vegetables, green vegetables, nuisanceless vegetables, etc., and the standards of the detection indexes are different for different classification results. In addition, the method can also comprise indexes such as soil environment, water environment, chemical fertilizers, pesticides and the like used in the planting process of the Chinese cabbage, and can also comprise personalized information such as picking time, and nutritional ingredients such as cellulose, vitamins and the like after picking. For example, the instant noodles may be processed foods, may include information such as monitoring items, brands, places of production, etc., and may include ingredient information, information on proliferation of microorganisms with shelf life, etc. These personalized information for the food to be monitored needs to be obtained from the production and sales units of the food to be monitored.
The detection item and detection method providing module is used for providing a detection item and a detection method for the food to be monitored according to personalized information of the food to be monitored.
Specifically, after the personalized information of the food to be monitored is known, the monitoring item and the detection method can be provided in a targeted manner, and particularly, for some new products or detection indexes with changed detection standards, the embodiment of the invention can provide more accurate and updated detection standards, so that the monitoring item and the detection method of the food to be monitored are advanced with time, and the obtained detection result is more accurate.
And the detection data acquisition module is used for acquiring detection data of the detection index obtained by applying the detection method.
In particular, the detection data may be data obtained by a one-time detection, which is suitable for detection indicators, such as heavy metal content indicators, which do not change or change less with prolonged shelf life. The detection data may also be an indicator, such as a microorganism content indicator, that needs to be detected according to a detection period as the shelf life is extended. The detection may be detection data obtained by random sampling, the number of samples of each random sampling may be plural, and then, based on the detection results obtained by the detection indexes corresponding to the random sampling samples, an average may be obtained, and the average may be used as a detection result to upload.
And the food safety risk monitoring conclusion making module is used for traversing the food safety risk monitoring database according to the detection data of the detection indexes to obtain a food safety risk monitoring conclusion.
Specifically, since the food safety risk monitoring database integrates multi-factor data of each government department related to food safety, after obtaining the detection data of the detection index, the food safety risk monitoring database is traversed by the detection data of the detection index, so that according to all monitoring results related to the food to be monitored, the food safety risk monitoring conclusion obtained according to the above can be more comprehensive and accurate.
According to the food safety risk monitoring device provided by the embodiment of the invention, monitoring items and detection methods can be provided for production and sales enterprises of food to be monitored according to personalized information of the food to be monitored, after the production and sales enterprises of the food to be monitored detect according to the detection methods, the detected data are uploaded, at the moment, after the detected data are obtained, the food safety risk monitoring database is traversed through retrieval, and then a food safety risk monitoring conclusion can be obtained according to the retrieval and comparison results, wherein the data related to the food safety risk monitoring database are unified databases obtained by integrating and mastering the food safety risk monitoring data in all government departments, so that the food safety risk monitoring method, the food safety risk monitoring device, the food safety risk monitoring media and the electronic equipment can be fused with the data of all government departments related to food safety, and further accurate detection results can be obtained according to all-round detection data, and accurate sources of sudden food safety events can be achieved.
Computer readable storage medium
The computer readable storage medium provided by the invention stores the food safety risk monitoring program, and the food safety risk monitoring program realizes the food safety risk monitoring method provided by the invention when being executed by the processor.
According to the personalized information of the food to be monitored, the computer readable storage medium can provide monitoring items and detection methods for production and sales enterprises of the food to be monitored, after the production and sales enterprises of the food to be monitored detect according to the detection methods, the detected data are uploaded, at the moment, after the detected data are obtained, the food safety risk monitoring database is searched and traversed, and then the food safety risk monitoring conclusion can be obtained according to the searching and comparison results, wherein the data related to the food safety risk monitoring database are unified databases obtained by integrating and mastering the food safety risk monitoring data in all government departments, so that the food safety risk monitoring method, the food safety risk monitoring device, the food safety risk monitoring medium and the electronic equipment can integrate the data related to all government departments of food safety, and further obtain more accurate detection results according to all-round detection data, and realize accurate tracing sources of sudden food safety events.
Electronic equipment
The electronic equipment provided by the invention comprises a memory and a processor, wherein the memory stores a food safety risk monitoring program, and the food safety risk monitoring program realizes the food safety risk monitoring method provided by the invention when being executed by the processor.
According to the personalized information of the food to be monitored, the electronic equipment provided by the invention can provide monitoring items and detection methods for production and sales enterprises of the food to be monitored, after the production and sales enterprises of the food to be monitored detect according to the detection methods, the detected data are uploaded, at the moment, after the detected data are obtained, the food safety risk monitoring database is traversed through retrieval, and then the food safety risk monitoring conclusion can be obtained according to the retrieval and comparison results, wherein the data related to the food safety risk monitoring database are unified databases obtained by integrating and mastering the food safety risk monitoring data of all government departments, so that the food safety risk monitoring method, the food safety risk monitoring device, the food safety risk monitoring medium and the electronic equipment can fuse the data related to all government departments of food safety, and further, more accurate detection results can be obtained according to all-round detection data, and accurate tracing of sudden food safety events can be realized.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a food safety risk monitoring device of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 4, the food safety risk monitoring device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 4 is not limiting of the food safety risk monitoring device and may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
As shown in fig. 4, an operating system, a data storage module, a network communication module, a user interface module, and a food safety risk monitoring program may be included in the memory 1005 as one type of storage medium.
In the food safety risk monitoring device shown in fig. 4, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the food safety risk monitoring device of the present invention may be disposed in the food safety risk monitoring device, and the food safety risk monitoring device invokes the food safety risk monitoring program stored in the memory 1005 through the processor 1001, and executes the food safety risk monitoring method provided by the embodiment of the present invention.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A method for monitoring the risk of food safety, comprising the steps of:
acquiring personalized information of food to be monitored;
providing a monitoring item and a detection method for the food to be monitored according to the personalized information of the food to be monitored;
acquiring detection data of a detection index obtained by applying the detection method;
and traversing a food safety risk monitoring database according to the detection data of the detection indexes to obtain the food safety risk monitoring conclusion.
2. The method of claim 1, wherein the personalized information of the food to be detected includes one or more of a name, a place of production, a manufacturer, a production process, ingredient information, and storage and transportation information of the food to be detected.
3. The method according to claim 1, wherein the data information of the food safety risk monitoring database includes agricultural environment data from the rural agricultural department of the people's republic of China, food safety supervision and management data from the national market supervision administration, and health medical data from the national health committee, the agricultural environment data, the food safety supervision and management data, and the health medical data are data related to the food to be detected during the step of traversing the food safety risk monitoring database according to the detection data of the detection index.
4. A food safety risk monitoring method according to claim 3, wherein the classification of the agricultural environmental data, food safety supervision and management data, and health medical data as data related to the food to be detected comprises:
a contaminant data dictionary comprising one or more of a chemical contaminant class code, a sampling location class code, a sample specification dictionary, a sample number unit dictionary, a detection unit institution dictionary, a food class remark dictionary, a contaminant dictionary, and a detection method dictionary;
a microorganism data dictionary including one or more of a food dictionary, a supplemental information dictionary, a packaging form dictionary, a sampling site type, a monitoring item dictionary, an identification method dictionary, and a serology typing dictionary;
the food-borne disease case data dictionary comprises one or more of a main symptom sign-whole body symptom and sign category code table, a main symptom and sign-digestive system category code table, a preliminary diagnosis category code table, an existing medical history category code table, an exposed food information-food category code table, an identification method code table and a target gene detection code table.
5. The method according to claim 1, wherein the step of obtaining the detection data of the detection index obtained by applying the detection method is implemented by a data acquisition unit, and the data providing of the data acquisition unit includes one or more of a query interface, a registration interface, a unified identity authentication, an address coding, a rights management, a data verification, and a custom interface.
6. The food security risk monitoring method according to claim 1, wherein the step of traversing a food security risk monitoring database according to the detection data of the detection index, and obtaining the food security risk monitoring conclusion further comprises a step of performing data processing on the detection data of the detection index, wherein the data processing step is implemented by a data processing unit, and the data processing method of the data processing unit comprises one or more of data fusion, data mapping, data cleaning, data management, data storage, data logging and data distribution.
7. The food safety risk monitoring method according to claim 6, wherein during the step of data processing the detection data of the detection index, the detection data of the detection index from each food business communicates with the data processing unit through a standard unified business service bus, and communication between the detection data of the detection index and the data processing unit from each food business has a set period.
8. A food safety risk monitoring device, comprising:
the personalized information acquisition module is used for acquiring personalized information of the food to be monitored;
the detection item and detection method providing module is used for providing a detection item and a detection method for the food to be monitored according to the personalized information of the food to be monitored;
the detection data acquisition module is used for acquiring detection data of the detection index obtained by applying the detection method;
and the food safety risk monitoring conclusion making module is used for traversing the food safety risk monitoring database according to the detection data of the detection indexes to obtain the food safety risk monitoring conclusion.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a food safety risk monitoring program, which when executed by a processor, implements the food safety risk monitoring method of any of claims 1-7.
10. An electronic device comprising a memory and a processor, the memory having a food safety risk monitoring program stored thereon, which when executed by the processor, implements the food safety risk monitoring method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211677867.1A CN116051127A (en) | 2022-12-26 | 2022-12-26 | Food safety risk monitoring method and device, medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211677867.1A CN116051127A (en) | 2022-12-26 | 2022-12-26 | Food safety risk monitoring method and device, medium and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116051127A true CN116051127A (en) | 2023-05-02 |
Family
ID=86122900
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211677867.1A Pending CN116051127A (en) | 2022-12-26 | 2022-12-26 | Food safety risk monitoring method and device, medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116051127A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314149A (en) * | 2023-05-17 | 2023-12-29 | 南京汉卫公共卫生研究院有限公司 | Food safety supervision and management system |
-
2022
- 2022-12-26 CN CN202211677867.1A patent/CN116051127A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314149A (en) * | 2023-05-17 | 2023-12-29 | 南京汉卫公共卫生研究院有限公司 | Food safety supervision and management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Talari et al. | State of the art review of Big Data and web-based Decision Support Systems (DSS) for food safety risk assessment with respect to climate change | |
| Matzembacher et al. | An integration of traceability elements and their impact in consumer's trust | |
| US8783556B2 (en) | System for managing the nutritional content for nutritional substances | |
| Joppa et al. | On nestedness in ecological networks | |
| Weiser et al. | Trace-back and trace-forward tools developed ad hoc and used during the STEC O104: H4 outbreak 2011 in Germany and generic concepts for future outbreak situations | |
| Hou et al. | A comparison of disproportionality analysis methods in national adverse drug reaction databases of China | |
| Hepworth et al. | Early warning indicators for hock burn in broiler flocks | |
| Zipper | Agricultural research using social media data | |
| Brandt et al. | Methods for comparing data across differently designed agronomic studies: examples of different meta-analysis methods used to compare relative composition of plant foods grown using organic or conventional production methods and a protocol for a systematic review | |
| CN116051127A (en) | Food safety risk monitoring method and device, medium and electronic equipment | |
| Gutiérrez et al. | Comparing a preliminary racial classification with a numerical classification of the maize landraces of Uruguay | |
| Stefani et al. | The effects of forest fragmentation on the population ecology and natural history of a funnel-web spider | |
| Hernandes et al. | DRIS norms for pêra orange | |
| Buzdugan et al. | Enhancing the value of meat inspection records for broiler health and welfare surveillance: longitudinal detection of relational patterns | |
| Valladares et al. | Humic substance fractions and attributes of histosols and related high‐organic‐matter soils from Brazil | |
| CN116205688A (en) | Fresh product information processing method and device, computer equipment and storage medium | |
| US9406037B1 (en) | Interactive literature analysis and reporting | |
| da Silva et al. | Nutrient balance in sugarcane in Brazil: Diagnosis, use and application in modern agriculture | |
| Bates et al. | National Diet and Nutrition Survey Rolling Programme (NDNS RP). Supplementary report: blood folate results for the UK as a whole, Scotland, Northern Ireland (years 1 to 4 combined) and Wales (years 2 to 5 combined). | |
| CN108681864A (en) | A kind of intelligent gradevin management method and system | |
| Veen et al. | A semantically integrated, user-friendly data model for species observation data | |
| CN113821494A (en) | Method for establishing food safety knowledge base | |
| Al-Bahouh et al. | Conformity of labeling into real composition of local and imported chicken burgers sold in the State of Kuwait. | |
| CN116681357B (en) | Food quality analysis system and method based on artificial intelligence | |
| Gong et al. | Mapping intellectual structure: A co-citation analysis of food safety in CiteSpace II |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |