CN114580872A - Food material risk interception method - Google Patents
Food material risk interception method Download PDFInfo
- Publication number
- CN114580872A CN114580872A CN202210171684.6A CN202210171684A CN114580872A CN 114580872 A CN114580872 A CN 114580872A CN 202210171684 A CN202210171684 A CN 202210171684A CN 114580872 A CN114580872 A CN 114580872A
- Authority
- CN
- China
- Prior art keywords
- risk
- products
- food
- food material
- database
- 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
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims description 36
- 238000007689 inspection Methods 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 description 4
- 208000001613 Gambling Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a food material risk interception method. According to the food material risk interception method, risk food materials are effectively intercepted through acquisition, comparison and analysis of multi-dimensional data information, a risk food material database is comprehensively established through a big data platform, suppliers, circulation suppliers, commodity batches and commodity categories listed in the risk database are risk products within the supervision time of the risk database, risk prompts are pushed to all purchasing demand points, the purchasing points can intercept the products corresponding to the suppliers, the circulation suppliers, the commodity batches and the commodity categories according to the risk prompts, the safety of food purchasing is guaranteed, and the circulation of the risk food materials is effectively intercepted and supervised.
Description
Technical Field
The invention relates to the field of food safety management, in particular to a food material risk intercepting method.
Background
The food safety can be completely supervised without depending on a government department, and the food safety comprises multiple departments such as industry and commerce, quality inspection, sanitation and the like, and the departments are respectively responsible for different links, and are closely linked. However, in actual work, each supervision department is independent of each other, and mutual coordination and close connection are not enough, so that the sectional supervision division can not achieve good effect on food safety problem treatment at all, and once a problem occurs, the departments often deduce and wither and tear skins mutually, and the like. The food material safety problem concerns the life health safety of hundreds of millions of consumers, the rights and responsibilities are not clear and coordinated enough, the gambling and lucky operators can easily miss the goods, serious food safety accidents are caused, and the consumers can shake the public trust of the manager and discount the goods greatly.
In the actual operation process, two phenomena are prominent:
1. the risk food material relates to multiple departments to cause information decentralization;
2. the food material risk management is in the afterknowledge.
Disclosure of Invention
In order to solve the technical problems, the invention designs a food material risk interception method. The risk food materials are effectively intercepted through the acquisition, comparison and analysis of multi-dimensional data information. The pertinence, the effectiveness and the timeliness of food material supervision work are improved, the foresight of the system on event processing is fully shown, potential safety hazards to consumers are fully eliminated, and the diet safety of the masses is guaranteed.
The invention adopts the following technical scheme:
a food material risk interception method comprises a risk food material analysis interception system, a farmer market food material detection database, a government food material random inspection database, a campus food material detection database and a distribution company market detection database, wherein the risk food material analysis interception system collects food material detection data in the farmer market food material detection database, the government food material random inspection database, the campus food material detection database and the distribution company market detection database, and induces the detected food materials in the data according to label attributes of suppliers, distributors, batches, trade names and categories, analyzes and determines risk sources, and the method for analyzing and determining the risk sources comprises the following steps:
s1, collecting the food materials with risks detected in the data according to the label attributes of suppliers, distributors, batches, trade names and categories;
s2, taking a single product in the same batch as a risk detection unit, setting that a plurality of food materials with risks appear in the same batch of products, and marking the batch of products as risk products; determining the number limit of the food materials with risks as the number limit for marking the batch of products with risks according to the food supervision requirement;
s3, taking the single batch of products of the same negotiable machine as a risk detection unit, setting that a plurality of batches of products of the same negotiable machine appear as risk products, and marking the products of the negotiable machine as the risk products; determining the number limit of products under the circulation business as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
s4, taking the single batch of products from the same supplier as a risk detection unit, setting that a plurality of batches of products appear in the products from the same supplier as risk products, and marking the products from the supplier as risk products; determining the number limit of the products in batches as the risk products for marking the products under the supplier as the risk products according to the food supervision requirement;
s5, taking a single batch of products of the same category as a risk detection unit, setting that a plurality of batches of products of the same category appear as risk products, and marking the products of the category as the risk products; determining the number limit of products under the mark class as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
meanwhile, a risk database is established in the risk food material analyzing and intercepting system, and label attributes of suppliers, circulation suppliers, batches, trade names and categories marked as risk products are listed in the risk database; and risk marking products in the risk database are pushed to all purchasing demand points through the big data platform to carry out risk prompt.
Preferably, the regulatory time for inclusion of the product marked as a risk into the risk database is determined according to food regulatory requirements.
The invention has the beneficial effects that: (1) the big data platform integrates farmer market detection data, distribution company detection data, government spot inspection and education bureau campus detection data, and can safely control food materials from a supervision information end and effectively intercept risk food materials; (2) whether the risk food materials exist in the food material task list is automatically analyzed by the system when the food materials are required to be purchased by a demand side, the labor cost is fully reduced by intelligently operating the system, and the risk prompt interception is automatically carried out by automatically analyzing and comparing the automatic data.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further described in detail by the following specific embodiments in combination with the attached drawings:
example (b): as shown in fig. 1, a food material risk intercepting method includes a risk food material analyzing and intercepting system, a farmer market food material detection database, a government food material spot-check database, a campus food material detection database and a distribution company market detection database, wherein the risk food material analyzing and intercepting system collects food material detection data in the farmer market food material detection database, the government food material spot-check database, the campus food material detection database and the distribution company market detection database, summarizes the detected food materials in the data according to tag attributes of suppliers, distributors, batches, trade names and categories, analyzes and determines a risk source, and the method for analyzing and determining the risk source includes the following steps:
s1, collecting the food materials with risks detected in the data according to the label attributes of suppliers, distributors, batches, trade names and categories;
s2, taking a single product in the same batch as a risk detection unit, setting that a plurality of food materials with risks appear in the same batch of products, and marking the batch of products as risk products; determining the number limit of the food materials with risks as the number limit for marking the batch of products with risks according to the food supervision requirement;
s3, taking the single batch of products of the same negotiable machine as a risk detection unit, setting that a plurality of batches of products of the same negotiable machine appear as risk products, and marking the products of the negotiable machine as the risk products; determining the number limit of products under the circulation business as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
s4, taking the single batch of products from the same supplier as a risk detection unit, setting that a plurality of batches of products appear in the products from the same supplier as risk products, and marking the products from the supplier as risk products; determining the number limit of products under the supplier as risk products according to the food supervision requirement by taking the number of batches of products as the risk products;
s5, taking a single batch of products of the same category as a risk detection unit, setting that a plurality of batches of products of the same category appear as risk products, and marking the products of the category as the risk products; determining the number limit of products under the mark class as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
meanwhile, a risk database is established in the risk food material analyzing and intercepting system, and label attributes of suppliers, circulation suppliers, batches, trade names and categories marked as risk products are listed in the risk database; and risk marking products in the risk database are pushed to all purchasing demand points through the big data platform to carry out risk prompt.
The regulatory time for which a product is marked as a risk is listed in the risk database is determined according to food regulatory requirements.
When the food material risk interception method is used, the big data platform comprehensively establishes the risk database, suppliers, circulation suppliers, commodity batches and commodity categories listed in the risk database are risk products within the supervision time of the risk database, risk prompts are pushed to all purchasing demand points, the purchasing points can intercept the products corresponding to the suppliers, the circulation suppliers, the commodity batches and the commodity categories according to the risk prompts, food purchasing safety is guaranteed, and circulation of risk food materials is effectively intercepted and supervised.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.
Claims (2)
1. A food material risk interception method is characterized by comprising a risk food material analysis interception system, a farmer market food material detection database, a government food material random inspection database, a campus food material detection database and a distribution company market detection database, wherein the risk food material analysis interception system collects food material detection data in the farmer market food material detection database, the government food material random inspection database, the campus food material detection database and the distribution company market detection database, sums up the detected food materials in the data according to label attributes of suppliers, distributors, batches, trade names and categories, analyzes and determines risk sources, and the method for analyzing and determining the risk sources comprises the following steps:
s1, collecting the food materials with risks detected in the data according to the label attributes of suppliers, distributors, batches, trade names and categories;
s2, taking a single product in the same batch as a risk detection unit, setting that a plurality of food materials with risks appear in the same batch of products, and marking the batch of products as risk products; determining the number limit of the food materials with risks as the number limit for marking the batch of products with risks according to the food supervision requirement;
s3, taking the single batch of products of the same negotiable machine as a risk detection unit, setting that a plurality of batches of products of the same negotiable machine appear as risk products, and marking the products of the negotiable machine as the risk products; determining the number limit of products under the circulation business as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
s4, taking the single batch of products from the same supplier as a risk detection unit, setting that a plurality of batches of products appear in the products from the same supplier as risk products, and marking the products from the supplier as risk products; determining the number limit of products under the supplier as risk products according to the food supervision requirement by taking the number of batches of products as the risk products;
s5, taking a single batch of products of the same category as a risk detection unit, setting that a plurality of batches of products of the same category appear as risk products, and marking the products of the category as the risk products; determining the number limit of products under the mark class as risk products according to food supervision requirements by taking the number of batches of products as the risk products;
meanwhile, a risk database is established in the risk food material analyzing and intercepting system, and label attributes of suppliers, circulation suppliers, batches, trade names and categories marked as risk products are listed in the risk database; and risk marking products in the risk database are pushed to all purchasing demand points through the big data platform to carry out risk prompt.
2. The food material risk interception method according to claim 1, wherein the supervision time marked as risk product listed in the risk database is determined according to food supervision requirements.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210171684.6A CN114580872A (en) | 2022-02-24 | 2022-02-24 | Food material risk interception method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210171684.6A CN114580872A (en) | 2022-02-24 | 2022-02-24 | Food material risk interception method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114580872A true CN114580872A (en) | 2022-06-03 |
Family
ID=81774294
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210171684.6A Pending CN114580872A (en) | 2022-02-24 | 2022-02-24 | Food material risk interception method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114580872A (en) |
-
2022
- 2022-02-24 CN CN202210171684.6A patent/CN114580872A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Maldonado et al. | Cost–benefit analysis of HACCP implementation in the Mexican meat industry | |
| US7062262B2 (en) | Method and apparatus for tracing components of a production chain | |
| Paiva | Quality management: Important aspects for the food industry | |
| AU2002231995A1 (en) | Method and apparatus for tracing components of a production chain | |
| Fitriana et al. | Production quality improvement of yamalube bottle with six sigma, FMEA, and data mining in PT. B | |
| Islam et al. | Systematic assessment of food traceability information loss: A case study of the Bangladesh export shrimp supply chain | |
| Dzwolak | Allergen cross-contact control plan supporting the implementation of food allergen management (FAM) in small food businesses | |
| CN114580872A (en) | Food material risk interception method | |
| Marsusvita et al. | Barrier and motivations implementation of safety and halal assurance for apple processed products: A review | |
| Shuvo et al. | Development of a HACCP-based approach to control risk factors associated with biscuit manufacturing plant, Bangladesh | |
| JP2004118309A (en) | Production of organically grown rice and tracing method of distribution process | |
| Lord et al. | Food crimes, food harms and the food system–SI introduction | |
| Liu et al. | A Research on mechanisms and countermeasures of the food safety incidents occurring on food supply chain | |
| KR102030781B1 (en) | Smart HACCP CCP interface management system | |
| Burkett | Food safety in the United States: Is the Food Safety Modernization Act enough to lead us out of the Jungle | |
| Cronk | The historic evolution of HACCP: better questions, safer foods | |
| Wu | The vulnerability and resilience of service quality management in food supply chains: Lessons from unstructured data on food-safety cases | |
| Bitzios et al. | Dissonance in the food traceability regulatory environment and food fraud | |
| CN110880079A (en) | Agricultural product direct sales tracking feedback system based on Internet of things | |
| Muth et al. | Analysis of the relationship between economic measures and Salmonella testing results in young chicken slaughter establishments | |
| CN117436902A (en) | Unqualified product processing method and system for food safety management | |
| KR20200139363A (en) | Mechanization system of Livestock Record Management Automatic Data Notification | |
| Sangkhasuk et al. | The Information Analysis of Vegetable Traceability to Support the Agricultural Safety | |
| Trienekens | Quality and safety in food supply chains | |
| Bitzios et al. | 20. Dissonance in the food traceability regulatory environment and food fraud |
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 |