Food contact material safety index intelligent early warning system based on big data analysis

Abstract

The invention discloses a food contact material safety index intelligent early warning system based on big data analysis, and the system comprises a food contact material information collection module, a food contact material detection module, a food contact material information extraction module, a server, a food contact material and product prediction analysis module, and an early warning module. And the food contact material information collection module is connected with the food contact material detection module. The food contact material safety index intelligent early warning system based on big data analysis can perform early warning reminding on analyzed abnormal data through the early warning module, and can notify related workers through the voice early warning module or the short message early warning module; the food contact material safety index early warning system can be established from the source of making the food contact material, and the safety index early warning system can also be established from migration detection of the food contact material and products.

Description

Technical Field

[0001] The present invention relates to the technical field of food contact material safety indicators, and in particular to an intelligent early warning system for food contact material safety indicators based on big data analysis. Background Art

[0002] The widespread use of various kitchen appliances such as rice cookers, juicers, coffee machines, etc. has brought great convenience to our daily lives, but the materials that come into direct contact with food may pose safety hazards. Food contact materials in the products, such as plastics, rubbers, colorants, etc., may release a certain amount of toxic chemical components such as heavy metals and toxic additives during the use of the products. These chemical components will migrate into food and be ingested by the human body, endangering human health. Therefore, it is necessary to establish an intelligent early warning system for the safety indicators of food contact materials to remind people to avoid the production of some harmful substances when people use these food contact materials in direct contact with food, thereby affecting the health of people using them. To this end, we propose an intelligent early warning system for food contact material safety indicators based on big data analysis to solve the above problems that may be encountered. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent early warning system for food contact material safety indicators based on big data analysis to address the deficiencies of the prior art and to solve the problems raised in the background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent early warning system for food contact material safety indicators based on big data analysis, comprising a food contact material information collection module, a food contact material detection module, a food contact material information extraction module, a server, a food contact material and product prediction and analysis module, and an early warning module, wherein the food contact material information collection module is connected to the food contact material detection module, the food contact material information collection module is connected to the food contact material information extraction module, the food contact material information extraction module is connected to the server, a food contact material and product prediction and analysis module is provided in the server, the food contact material and product prediction and analysis module is connected to the early warning module, and the early warning module comprises a voice early warning module and a text message early warning module.

[0005] As a preferred technical solution of the present invention, the food contact material detection includes the detection of food contact metal materials and products, food contact paper, cardboard and paper products, food contact plastic resins, food contact glass materials and products, food contact paints and coatings, and food contact rubber materials and products. Food contact composite materials and products such as paper, plastic, metal and other different or same materials are compounded by bonding, hot melting or other methods to form two or more layers, and the layers are continuous and tight. Food contact materials and products, or food packaging bags made of paper, plastic and aluminum foil compounded by polyurethane and modified polypropylene, are tested.

[0006] As a preferred technical solution of the present invention, the food contact metal materials and products detection, food contact paper, cardboard and paper products detection, food contact plastic resin detection, food contact glass materials and products detection, food contact paint and coating detection and food contact rubber materials and products detection can pass through a temperature detection module, a corrosion detection module, a humidity detection module and a thickness detection module, and then transmit the detection information to a food contact material information collection module.

[0007] As a preferred technical solution of the present invention, the food contact material information collection module can extract key information collected through the food contact material information extraction module, and can transmit the key information to the server, and the server can analyze and process the key information.

[0008] As a preferred technical solution of the present invention, the food contact materials and products prediction and analysis module in the server extracts and analyzes the key information extracted by the food contact materials information extraction module. If abnormal information is analyzed, the early warning module will be activated to issue an early warning reminder.

[0009] As a preferred technical solution of the present invention, the early warning module can warn of abnormal information through a voice early warning module or a text message early warning module.

[0010] As a preferred technical solution of the present invention, the food contact material detection also includes the detection of additives used in food contact materials and products, which can realize the detection of food contact materials during their production process, and can transmit relevant information to the food contact material information collection module, and can be transmitted to the server through the food contact material information extraction module, which can be analyzed by the food contact material and product prediction and analysis module in the server, and abnormal information can be warned through the early warning module. For example, the adhesives, inks, etc. used in food contact materials and products should comply with the requirements of relevant national food safety standards. The adhesives in materials and products shall not directly contact water-based foods, alcoholic beverages, oils and fats, and foods containing oils on the surface. When there is no effective barrier between the polyurethane adhesive and the food contact layer, such adhesives shall not be used in composite food contact materials and products used under conditions exceeding 121°C, and food contact inks shall not directly contact any type of food.

[0011] As a preferred technical solution of the present invention, the food contact material detection also includes food contact material and product migration experiment detection. The relevant information of the food contact material and product migration experiment detection can be transmitted to the food contact material information collection module for collection, and the relevant information can be transmitted to the server through the food contact material information extraction module, and can be predicted and analyzed through the food contact material and product prediction and analysis module in the server.

[0012] As a preferred technical solution of the present invention, the food contact material detection also includes microbial index detection. Composite food contact materials and products that are expected to directly contact food (except fruits, vegetables, fresh eggs and agricultural and sideline products that need to be peeled, shelled or washed before eating or cooking or processing) and are used directly without disinfection or washing, and whose food contact surface is paper, should comply with the following microbial limits.

[0013] As a preferred technical solution of the present invention, the food contact material detection also includes potassium permanganate consumption, heavy metal (in terms of Pb) toluene diamine items and solvent residues, aromatic primary amine migration, bisphenol A diglycidyl ether and its derivatives migration, and decolorization test items in food contact materials.

[0014] Compared with the prior art, the present invention provides an intelligent early warning system for food contact material safety indicators based on big data analysis, which has the following beneficial effects:

[0015] 1. This intelligent early warning system for food contact material safety indicators based on big data analysis can analyze various indicators of the test through the food contact material and product prediction and analysis module in the server when conducting safety tests on food contact materials, and can issue early warning reminders through the early warning module for abnormal data analyzed, and can notify relevant staff through the voice early warning module or the SMS early warning module;

[0016] 2. This intelligent early warning system for food contact material safety indicators based on big data analysis can detect food contact materials, and can also detect the migration of additives in the production of food contact materials and food contact materials and products. It can establish a food contact material safety indicator early warning system from the source of the production of food contact materials, and can also establish a safety indicator early warning system from the migration detection of food contact materials and products. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0018] Figure 2 It is a schematic diagram of the food contact material detection process structure of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment 1:

[0021] See also Figure 1 and Figure 2 , including a food contact material information collection module, a food contact material detection module, a food contact material information extraction module, a server and a food contact material and product prediction and analysis module and an early warning module. The food contact material information collection module is connected to the food contact material detection module, the food contact material information collection module is connected to the food contact material information extraction module, the food contact material information extraction module is connected to the server, the server is provided with a food contact material and product prediction and analysis module, the food contact material and product prediction and analysis module is connected to the early warning module, the early warning module includes a voice early warning module and a short message early warning module, and the food contact material detection module can realize various tests on various food contact materials, and the relevant test data can be transmitted to the food contact material information collection module, and information can be extracted through the food contact material information extraction module.

[0022] Embodiment 2:

[0023] See also Figure 1 and Figure 2, food contact material testing includes food contact metal materials and products testing, food contact paper, cardboard and paper products testing, food contact plastic resin testing, food contact glass materials and products testing, food contact paint and coating testing and food contact rubber materials and products testing. Food contact metal materials and products testing, food contact paper, cardboard and paper products testing, food contact plastic resin testing, food contact glass materials and products testing, food contact paint and coating testing and food contact rubber materials and products testing can pass through the temperature detection module, corrosion detection module, humidity detection module and thickness detection module, and then transmit the detection information to the food contact material information collection module, and the food contact material information collection module collects the collected information that can pass through the food contact material The information extraction module extracts key information and transmits the key information to the server, which can analyze and process the key information. The food contact materials and products prediction and analysis module in the server extracts and analyzes the key information extracted by the food contact materials information extraction module. If abnormal information is analyzed, the early warning module will be activated to issue an early warning reminder. The early warning module can issue an early warning of the abnormal information through a voice early warning module or a text message early warning module. When conducting safety inspections on food contact materials, the various inspection indicators can be analyzed through the food contact materials and products prediction and analysis module in the server, and the analyzed abnormal data can be issued through the early warning module for early warning reminders, and relevant staff can be notified through the voice early warning module or the text message early warning module.

[0024] The technical process of food contact material testing mainly achieves efficient and comprehensive testing and analysis through several key modules. First of all, various food contact materials such as metal, paper, plastic, glass, coating and rubber need to undergo basic physical and chemical tests such as temperature detection, corrosion detection, humidity detection and thickness detection. These tests are designed to evaluate whether the material maintains its safety and functionality under the predetermined conditions of use.

[0025] After testing, the data is transferred to an information collection module, which is responsible for collecting and organizing the test data. Then, through the food contact material information extraction module, the system extracts key safety and quality information for in-depth analysis.

[0026] The food contact materials and products prediction and analysis module in the server will analyze the extracted information to determine whether there are any possible safety risks or quality issues. If abnormal information is detected, the early warning module will be activated to send an alert to the relevant staff through voice or SMS early warning modules to ensure that they can take prompt measures to deal with potential safety issues.

[0027] The technical effect of this process is that it can provide timely and accurate safety warnings, reduce human monitoring errors, and improve food safety. This system has a high degree of automation and can effectively strengthen the quality control of food contact materials and ensure the health and safety of consumers.

[0028] Embodiment three:

[0029] See also Figure 1 and Figure 2 , Food contact material testing also includes testing of additives used in food contact materials and products, which can detect food contact materials during their production process, and can transmit relevant information to the food contact material information collection module, and can be transmitted to the server through the food contact material information extraction module, which can be analyzed by the food contact material and product prediction and analysis module in the server, and abnormal information can be warned through the early warning module. For example, adhesives and inks used in food contact materials and products should comply with the requirements of relevant national food safety standards. Adhesives in materials and products must not directly contact water-based foods, alcoholic beverages, oils and fats, and foods with oily surfaces. When there is no effective barrier between the polyurethane adhesive and the food contact layer, such adhesives must not be used in composite food contacts used under conditions exceeding 121°C Materials and products, food contact inks shall not directly contact any type of food. Food contact material testing also includes migration test of food contact materials and products. The relevant information of migration test of food contact materials and products can be transmitted to the food contact material information collection module for collection, and the relevant information can be transmitted to the server through the food contact material information extraction module, and can be predicted and analyzed through the food contact material and product prediction and analysis module in the server. Food contact material testing also includes microbial index testing. Composite food contact materials and products that are expected to directly contact food (except fruits, vegetables, fresh eggs and agricultural and sideline products that need to be peeled, shelled or washed before eating or cooking or processing), are used directly without disinfection or washing, and the food contact surface is paper, shall comply with the following microbial limits, as shown in Table 1.

[0030]

[0031] The technical process of food contact material testing has been gradually expanded to include not only basic physical and chemical tests, but also additive use testing, migration experiment testing, and microbial indicator testing. These tests ensure the safety of materials at all stages of production and use.

[0032] Additive use testing: Mainly focuses on the compliance of additives in food contact materials, such as adhesives and inks. For example, adhesives must not come into direct contact with water-based foods, alcoholic beverages or oily foods, especially in the absence of an effective barrier. Polyurethane adhesives used at high temperatures (such as above 121°C) require special attention. Food contact inks must also not come into direct contact with food.

[0033] Migration test: evaluates the amount of substances that may migrate into food during use of food contact materials or articles. By simulating actual use conditions, this test ensures that any possible migrating substances are within safety standards.

[0034] Microbiological indicator testing: Ensure that materials that come into direct contact with food meet the necessary microbiological safety standards. This is particularly important because some foods are not sterilized or washed before consumption, such as fruits and vegetables.

[0035] In the technical process, various test data will be transmitted to the food contact material information collection module, and then the key data will be extracted by the information extraction module, and then analyzed by the prediction analysis module in the server. If any abnormality is found, the early warning module will be activated in time to notify relevant staff through voice or SMS early warning modules.

[0036] The outstanding performance of the technical effect is that it provides a systematic solution to ensure the safety of food contact materials at all stages of use, while being able to quickly respond to potential safety issues to protect consumer health and food safety. This comprehensive detection and early warning system is of great significance to improving the quality control and safety supervision of material products.

[0037] The food contact material testing also includes potassium permanganate consumption, heavy metal (in terms of Pb) toluene diamine project and its solvent residue, aromatic primary amine migration, bisphenol A diglycidyl ether and its derivative migration, and decolorization test projects in food contact materials. The specific projects and indicators are shown in Table 2

[0038] Table 2 Physical and chemical indicators

[0039]

[0040] It can not only test food contact materials, but also detect the additives in the production of food contact materials and the migration of food contact materials and products. It can establish a food contact material safety indicator early warning system from the source of the production of food contact materials, and it can also establish a safety indicator early warning system from the migration detection of food contact materials and products.

[0041] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent early warning system for food contact material safety indicators based on big data analysis, comprising a food contact material information collection module, a food contact material detection module, a food contact material information extraction module, a server, and a food contact material and product prediction and analysis module and an early warning module, characterized in that: The food contact material information collection module is connected to the food contact material detection module, the food contact material information collection module is connected to the food contact material information extraction module, the food contact material information extraction module is connected to the server, the server is provided with a food contact material and product prediction and analysis module, the food contact material and product prediction and analysis module is connected to the early warning module, and the early warning module includes a voice early warning module and a text message early warning module.

2. According to claim 1, a food contact material safety index intelligent early warning system based on big data analysis is characterized by: The food contact material testing includes food contact metal materials and products testing, food contact paper, cardboard and paper products testing, food contact plastic resin testing, food contact glass materials and products testing, food contact paints and coatings testing and food contact rubber materials and products testing.

3. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The food contact metal materials and products detection, food contact paper, cardboard and paper products detection, food contact plastic resin detection, food contact glass materials and products detection, food contact paint and coating detection and food contact rubber materials and products detection can pass through a temperature detection module, a corrosion detection module, a humidity detection module and a thickness detection module, and then transmit the detection information to a food contact material information collection module.

4. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The food contact material information collection module can extract key information from the collected information through the food contact material information extraction module, and can transmit the key information to the server, and the server can analyze and process the key information.

5. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The food contact materials and products prediction and analysis module in the server extracts and analyzes the key information extracted by the food contact materials information extraction module. If abnormal information is analyzed, the early warning module will be activated to issue an early warning reminder.

6. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The early warning module can warn of abnormal information through a voice early warning module or a text message early warning module.

7. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The food contact material detection also includes detection of the use of additives for food contact materials and products, which can realize the detection of food contact materials during their production process, and can transmit relevant information to the food contact material information collection module, and can be transmitted to the server through the food contact material information extraction module, and can be analyzed by the food contact material and product prediction and analysis module in the server, and abnormal information can be warned through the early warning module.

8. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized by: The food contact material detection also includes food contact material and product migration experiment detection. The relevant information of the food contact material and product migration experiment detection can be transmitted to the food contact material information collection module for collection, and the relevant information can be transmitted to the server through the food contact material information extraction module, and can be predicted and analyzed through the food contact material and product prediction and analysis module in the server.

9. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1 is characterized in that: The food contact material testing also includes microbial index testing. Composite food contact materials and products that are expected to come into direct contact with food and be used directly without disinfection or cleaning, and whose food contact surface is paper, should comply with the following microbial limits.

10. The intelligent early warning system for food contact material safety indicators based on big data analysis according to claim 1, characterized in that: The food contact material testing also includes potassium permanganate consumption, heavy metal toluene diamine items and solvent residues, aromatic primary amine migration, bisphenol A diglycidyl ether and its derivatives migration, and decolorization test items in food contact materials.

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