CN110824121A - Method for detecting nitrogen content of infant formula milk powder - Google Patents
Method for detecting nitrogen content of infant formula milk powder Download PDFInfo
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Abstract
The invention discloses a method for detecting the nitrogen content of infant formula milk, which belongs to the field of milk powder nitrogen detection, and relates to a method for detecting the nitrogen content of infant formula milk, which can realize the remote detection of infant formula milk by a general user through the technology of Internet of things, avoid the technology and theoretical threshold of the nitrogen content detection of infant formula milk, enable the user to scan a commodity two-dimensional code on the main body of infant milk through a mobile terminal to obtain the production batch information of the main body of infant milk, upload the corresponding production batch information to a cloud memory, upload the production batch information to an Internet of things module through the cloud memory, call and summarize the information obtained by a milk factory detection processing terminal and a third-party laboratory detection processing terminal, enable the general user to clearly know the quality of milk powder to be purchased, the irreversible damage to the infants caused by purchasing low-quality milk powder is not easy to cause.
Description
Technical Field
The invention relates to the field of detection of nitrogen in milk powder, in particular to a method for detecting the nitrogen content of infant formula milk powder.
Background
The milk powder is prepared by using fresh milk or goat milk as a raw material, removing almost all water in the milk by a freezing or heating method, drying the milk, and adding a proper amount of vitamins, minerals and the like.
In the detection of infant formula milk powder, the most important is the detection of nitrogen content, and the existing nitrogen content detection method is the Kjeldahl method, so in principle, the Kjeldahl method does not have an interfering nitrogen source, and is still the best method for detecting the nitrogen content of milk powder at present, however, the Kjeldahl method needs to use strong acid and strong base and professional detection equipment in the detection process, and needs to have certain knowledge and technical bases in related fields, so that in real life, a general user cannot easily detect the nitrogen content of the milk powder by himself when purchasing the infant milk powder, namely, cannot grasp the first hand information of the quality of the milk powder.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide a method for detecting the nitrogen content of infant formula milk powder, which can realize the convenience of common users for detecting the nitrogen content of the milk powder to be purchased, so that the common users can clearly know the quality of the milk powder to be purchased, the products which are fake and genuine are not easy to purchase, and the irreversible damage to infants caused by purchasing low-quality milk powder is not easy to occur.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
A method for detecting the nitrogen content of infant formula milk powder mainly comprises the following steps:
s1, scanning codes, wherein a user uses a mobile terminal carried by the user, such as a mobile phone, to scan the two-dimensional codes of the commodities of the infant milk powder main body to be detected, so as to obtain batch information of the infant milk powder main body, and the batch information is transmitted to a cloud storage and then is uploaded to an Internet of things module by the cloud storage;
s2, tracing the milk powder producing area, calling the related information of the milk powder producing area by the Internet of things module after receiving batch signals uploaded by the cloud storage, calling the production information of an application batch by the Internet of things module through a milk factory detection processing terminal, wherein the production information comprises the production date of a product, the quality inspection information of fresh milk entering the site, the quality inspection information of milk powder leaving the factory and the like, and transmitting the corresponding product information back to the Internet of things module;
s3, tracing the origin of the fresh milk, calling relevant information of the fresh milk production place by the Internet of things module after receiving batch signals uploaded by the cloud storage, calling the production environment of the fresh milk of the milk powder raw material of the application batch by the Internet of things module through the milk cow factory monitoring terminal, and transmitting simple real-time monitoring information back to the Internet of things module for a user to look up the on-site production environment of the fresh milk place, increasing the confidence of the user on the milk powder from the source by uncontrollable real-time calling of a place real-time monitoring video by a merchant, and reducing the possibility of falsifying the milk powder manufacturer from the source;
s4, starting to call the directional light information detected by the third party after the Internet of things module receives the batch signals uploaded by the cloud storage, and calling the third party detection result of the application batch from the third party laboratory detection processing terminal and transmitting the third party detection result back to the Internet of things module;
s5, information is collected and downloaded, a preprocessing module contained in the Internet of things module can preprocess information returned from a milk factory detection processing terminal, a third-party laboratory detection processing terminal and a milk cow factory monitoring terminal, and milk powder factory quality inspection information transmitted by the milk factory detection processing terminal and third-party detection result information transmitted by the third-party laboratory detection processing terminal are recorded into a table;
s6, information backup, namely, the cloud storage backs up information downloaded by the Internet of things module, and labels of production batches are attached to corresponding information, so that other users can search related information of milk powder in the same batch in the future, and index time and index burden are greatly saved;
and S7, information comparison and display, the cloud storage downloads the backed-up information to the mobile terminal of the user for the user to look up and compare, the user is assisted to shop the infant milk powder main body, the nitrogen content of the infant formula milk powder is remotely detected, and a shop service is provided for the user without milk powder related knowledge.
Further, the system for detecting the nitrogen content of the infant formula milk comprises a cloud storage and an infant milk body, wherein the cloud storage is in signal connection with an internet of things module, the internet of things module is respectively in signal connection with a dairy plant detection and processing terminal, a third-party laboratory detection and processing terminal and a dairy plant monitoring terminal, the dairy plant detection and processing terminal is in signal connection with the dairy plant body, the third-party laboratory detection and processing terminal is in signal connection with the third-party laboratory body, the dairy plant monitoring terminal is in signal connection with the dairy plant body, the cloud storage is in signal connection with a mobile terminal, the mobile terminal is used for scanning two-dimensional goods codes on the infant milk body, relevant data such as production date of products, fresh milk delivery and incoming quality inspection information and milk quality inspection information are stored in the dairy plant detection and processing terminal, and relevant data of third-party detection are stored in the third-party laboratory detection and processing terminal, the cow factory monitoring terminal contains real-time detection monitoring information of the cow farm main body.
Further, in the step S3, tracing to the source of the fresh milk producing area, when the dairy farm main body of the milk powder main body is stopped or closed due to a special reason, the internet of things module can automatically obtain the latest real-time monitoring information of the dairy farm main body to the mobile terminal, and the corresponding monitoring information is.
Further, in the step of tracing to the fresh milk producing area S3, the internet of things module may further collect corresponding official reasons for the stoppage or closing of the dairy farm main body and mark the reasons in corresponding monitoring information, so as to provide corresponding information for the user to choose.
Further, in the detection results of the S4 and the third parties, different third-party laboratory subjects receive milk powder detection orders of corresponding batches when the milk powder leaves the factory, and the detection orders are randomly distributed by the internet of things module, so that the milk factory subjects and the third-party laboratory subjects are prevented from being communicated in advance and falsifying.
Furthermore, in the detection results of the S4 and the third party, the sample detected by the main body of the third party laboratory needs to be purchased from the market, and corresponding purchase information such as purchase location and purchase time is retained in the detection results, so that the occurrence of the special milk powder sample is avoided, and the reliability of the detection results of the main body of the third party laboratory is increased.
Furthermore, in the S4 and third-party detection results, at least three third-party laboratory subjects are required to detect the infant milk powder subjects of each batch, and when the third-party detection results are retrieved, more detection results are required to be retrieved as much as possible, so that the volume of the detection sample is increased, and the accuracy of the detection results is improved.
Furthermore, in S5, the information is gathered and downloaded, the places where the two detection results of the milk factory detection processing terminal and the third-party laboratory detection processing terminal are obviously different are marked through color difference, the user can watch the information conveniently, and then the information gathered by the Internet of things module is downloaded to the cloud storage.
Furthermore, in the process of S5 and information gathering and downloading, when the difference of the Internet of things module is highlighted, the allowable range of the detection items with the difference is marked, and the influence caused by the fact that the difference exceeds the allowable range is marked, so that the final detection result can be conveniently referred.
Further, in the S1 code scanning, after the cloud storage acquires the batch information, the batch information is retrieved in the self-backed data through the batch information, when the corresponding information is backed up, the corresponding information can be directly retrieved and downloaded to the mobile terminal, so that the indexing time and the indexing burden are greatly saved, and when the corresponding information is not backed up, the operations of S2, milk powder producing area tracing-S6 and information backup are performed, and finally the information is downloaded to the mobile terminal.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
the scheme can realize that a general user can realize the remote detection of the infant formula milk powder through the Internet of things technology, avoid the technical and theoretical thresholds of the detection of the nitrogen content of the infant formula milk powder, and the user can scan the two-dimension code of the commodity on the infant milk powder body through the mobile terminal to obtain the production batch information of the infant milk powder body, upload the corresponding production batch information to the cloud memory, upload the production batch information to the Internet of things module through the cloud memory, call and gather the production batch information and the delivery detection result of the milk powder field from the milk factory detection processing terminal, obtain the detection result of a third party from the third party laboratory detection processing terminal, gather and sort the data obtained by the milk factory detection processing terminal and the third party laboratory detection processing terminal, and obtain the real-time monitoring data of the raw material production area through the milk factory monitoring terminal, the general users can clearly know the quality of the milk powder to be purchased, so that the products which are fake and genuine are not easy to purchase, and the infants are not easy to be irreversibly damaged by purchasing low-quality milk powder.
Drawings
FIG. 1 is a main flow chart of the method for detecting the nitrogen content of the infant formula of the present invention;
FIG. 2 is a schematic diagram of the main structure of the nitrogen content detection of the infant formula of the present invention.
The reference numbers in the figures illustrate:
1 baby milk powder main part, 2 mobile terminal, 3 high in the clouds memory, 4 thing networking module, 5 milk factory detect processing terminal, 6 milk factory main parts, 7 third party laboratory detect processing terminal, 8 third party laboratory main parts, 9 milk cow factory monitor terminal, 10 milk cow farm main parts.
Detailed Description
The drawings in the embodiments of the invention will be combined; the technical scheme in the embodiment of the invention is clearly and completely described; obviously; the described embodiments are only some of the embodiments of the invention; but not all embodiments, are based on the embodiments of the invention; all other embodiments obtained by a person skilled in the art without making any inventive step; all fall within the scope of protection of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1, a method for detecting nitrogen content of infant formula mainly includes the following steps:
s1, scanning codes, wherein a user uses a mobile terminal 2 carried by the user, such as a mobile phone, to scan the two-dimensional codes of the commodities of the infant milk powder main body 1 to be detected, so as to obtain batch information of the infant milk powder main body 1, transmit the batch information to a cloud storage 3, and upload the batch information to an Internet of things module 4 through the cloud storage 3;
s2, tracing the milk powder producing area, calling the related information of the milk powder producing area by the Internet of things module 4 after receiving the batch signals uploaded by the cloud storage 3, calling the production information of the application batch by the Internet of things module 4 through the milk factory detection processing terminal 5, wherein the production information comprises the production date of the product, the quality inspection information of fresh milk entering the field, the quality inspection information of milk powder leaving the field and the like, and transmitting the corresponding product information back to the Internet of things module 4;
s3, tracing the origin of the fresh milk, calling relevant information of the fresh milk origin by the Internet of things module 4 after receiving batch signals uploaded by the cloud storage 3, calling the production environment of the fresh milk of the milk powder raw material of the application batch by the Internet of things module 4 through the milk cow factory monitoring terminal 9 and transmitting simple real-time monitoring information back to the Internet of things module 4 for a user to look up the on-site production environment of the fresh milk origin, increasing the confidence of the user on the milk powder from the source by uncontrollable real-time calling the real-time monitoring video of the origin by a merchant, reducing the possibility of false detection from the source of the milk powder manufacturer, particularly, when the milk cow main body 10 of the milk powder supply place of the infant milk powder main body 1 is stopped or closed due to special reasons, calling the latest real-time monitoring information of the milk cow main body 10 to the mobile terminal 2 by the Internet of the milk powder manufacturer, and marking the corresponding monitoring information as past real-time monitoring, in addition, the internet of things module 4 can also collect corresponding official reasons of the deactivation or closing of the dairy farm main body 10, mark the reasons in corresponding monitoring information and provide corresponding information for the user to choose to purchase;
s4, third party detection results, after the Internet of things module 4 receives batch signals uploaded by the cloud storage 3, the optical information of the third party detection starts to be called, the Internet of things module 4 calls third party detection results of application batches from the third party laboratory detection processing terminal 7 and returns the third party detection results to the Internet of things module 4, different third party laboratory main bodies 8 receive corresponding batch milk powder detection orders when milk powder leaves, the detection orders are randomly distributed by the Internet of things module 4, the milk factory main body 6 and the third party laboratory main bodies 8 are prevented from being communicated in advance and falsely made, in addition, samples detected by the third party laboratory main bodies 8 need to be purchased from markets, corresponding purchase information such as purchase places, purchase time and the like is reserved in the detection results, the occurrence of special-version milk powder samples is avoided, and the reliability of the detection results of the third party laboratory main bodies 8 is increased, finally, each batch of infant milk powder main bodies 1 at least needs three third-party laboratory main bodies 8 to be detected, and when the third-party detection results are called, more detection results need to be called as much as possible, so that the volume of the detection samples is increased, and the accuracy of the detection results is improved;
particularly, the milk powder producing area tracing S2, the fresh milk producing area tracing S3 and the third-party detection result S4 are carried out simultaneously, and no obvious sequence exists;
s5, information is collected and downloaded, a preprocessing module contained in the Internet of things module 4 preprocesses the returned information transmitted by the milk factory detection processing terminal 5, the third party laboratory detection processing terminal 7 and the milk cow factory monitoring terminal 9, milk powder factory quality inspection information transmitted by the milk factory detection processing terminal 5 and third party detection result information transmitted by the third party laboratory detection processing terminal 7 are recorded in a table, places with obvious differences between the milk factory detection processing terminal 5 and the third party laboratory detection processing terminal 7 are marked through color difference, the user can conveniently watch the milk powder, then the Internet of things module 4 transmits the information collected by the Internet of things module 4 to the cloud storage 3, when the differences are highlighted by the Internet of things module 4, the allowable range of the detection items with the differences is marked, and the influence caused by the differences exceeding the allowable range is marked, the method is convenient for consulting the final detection result;
s6, information backup, namely, the cloud storage 3 backs up information downloaded by the Internet of things module 4, and labels of production batches are attached to corresponding information, so that other users can search related information of milk powder in the same batch in the future, and the indexing time and the indexing burden are greatly saved;
s7, information comparison and display, the cloud storage 3 downloads the backed up information to the mobile terminal 2 of the user for the user to look up and compare, the user is assisted to shop the infant milk powder main body 1, the nitrogen content of the infant formula milk powder is remotely detected, and a shop service is provided for the user without milk powder related knowledge.
A system for detecting the nitrogen content of infant formula milk powder comprises a cloud storage 3 and an infant milk powder main body 1, wherein the cloud storage 3 is in signal connection with an Internet of things module 4, the Internet of things module 4 is respectively in signal connection with a dairy plant detection and processing terminal 5, a third-party laboratory detection and processing terminal 7 and a dairy cow plant monitoring terminal 9, the dairy plant detection and processing terminal 5 is in signal connection with a dairy plant main body 6, the third-party laboratory detection and processing terminal 7 is in signal connection with a third-party laboratory main body 8, the dairy cow plant monitoring terminal 9 is in signal connection with a dairy cow farm main body 10, the cloud storage 3 is in signal connection with a mobile terminal 2, the mobile terminal 2 is used for scanning two-dimensional goods codes on the infant milk powder main body 1, wherein the production date, the fresh milk incoming field quality inspection information, the milk powder delivery quality inspection information and the like of the product are stored in the dairy plant detection and processing terminal 5, and the related, the cow factory monitoring terminal 9 includes real-time detection and monitoring information of the cow farm main body 10.
In S1, code scanning, after the cloud storage 3 acquires batch information, the batch information is retrieved from the data backed up by the cloud storage, when corresponding information is backed up, the corresponding information can be directly retrieved and downloaded to the mobile terminal 2, so that the indexing time and the indexing burden are greatly saved, and when corresponding information is not backed up, the operations of S2, milk powder producing area tracing-S6 and information backup are performed, and finally the information is downloaded to the mobile terminal 2.
A general user can realize remote detection of infant formula milk powder through the Internet of things technology, technical and theoretical thresholds for detecting the nitrogen content of the infant formula milk powder are avoided, the user can scan commodity two-dimensional codes on the infant formula milk powder main body 1 through a mobile terminal 2 to obtain production batch information of the infant formula milk powder main body 1, the corresponding production batch information is uploaded into a cloud storage 3 and then is uploaded to an Internet of things module 4 through the cloud storage 3, the Internet of things module 4 is used for calling and summarizing, relevant production information and delivery detection results of a milk powder field are obtained from a milk factory detection processing terminal 5, detection results of a third party are obtained from a third party laboratory detection processing terminal 7, data obtained from the milk factory detection processing terminal 5 and the third party laboratory detection processing terminal 7 are summarized and collated, real-time monitoring data of a raw material production area are obtained through a milk cow factory monitoring terminal 9, the general users can clearly know the quality of the milk powder to be purchased, so that the products which are fake and genuine are not easy to purchase, and the infants are not easy to be irreversibly damaged by purchasing low-quality milk powder.
The above; but are merely preferred embodiments of the invention; the scope of the invention is not limited thereto; any person skilled in the art is within the technical scope of the present disclosure; the technical scheme and the improved concept of the invention are equally replaced or changed; are intended to be covered by the scope of the present invention.
Claims (10)
1. A method for detecting the nitrogen content of infant formula milk powder is characterized by comprising the following steps: the method mainly comprises the following steps:
s1, scanning codes, wherein a user uses a mobile terminal (2) carried by the user, such as a mobile phone, to scan the two-dimensional codes of the commodities of the infant milk powder main body (1) to be detected, so as to obtain batch information of the infant milk powder main body (1), transmit the batch information to a cloud storage (3), and upload the batch information to an Internet of things module (4) through the cloud storage (3);
s2, tracing the milk powder producing area, calling the related information of the milk powder producing area by the Internet of things module (4) after receiving batch signals uploaded by the cloud storage (3), calling the production information of an application batch by the Internet of things module (4) through a milk factory detection processing terminal (5), wherein the production information comprises the production date of a product, the quality inspection information of fresh milk entering the field, the quality inspection information of milk powder leaving the field and the like, and transmitting the corresponding product information back to the Internet of things module (4);
s3, tracing the origin of the fresh milk, calling relevant information of the fresh milk origin by the Internet of things module (4) after receiving batch signals uploaded by the cloud storage (3), calling the production environment of the fresh milk of the milk powder raw material of the applied batch by the Internet of things module (4) through the milk cow factory monitoring terminal (9), and additionally transmitting simple real-time monitoring information back to the Internet of things module (4) for a user to look up the on-site production environment of the fresh milk origin, increasing the confidence of the user on the milk powder from the source by uncontrollable real-time calling of the origin real-time monitoring video of a merchant, and reducing the possibility that the milk powder manufacturer falsify from the source;
s4, detecting results by a third party, starting to call the light-oriented information detected by the third party after the Internet of things module (4) receives batch signals uploaded by the cloud storage (3), and calling the third party detection results of the application batch from the third party laboratory detection processing terminal (7) by the Internet of things module (4) and transmitting the third party detection results back to the Internet of things module (4);
s5, information is collected and downloaded, a preprocessing module contained in the Internet of things module (4) can preprocess information returned from the milk factory detection processing terminal (5), the third-party laboratory detection processing terminal (7) and the milk cow factory monitoring terminal (9), and milk powder delivery quality inspection information transmitted by the milk factory detection processing terminal (5) and third-party detection result information transmitted by the third-party laboratory detection processing terminal (7) are recorded into a table;
s6, information backup, namely, the cloud storage (3) backs up information downloaded by the Internet of things module (4), and labels of production batches are attached to corresponding information to enable other users to search related information of milk powder in the same batch in the future, so that index time and index burden are greatly saved;
s7, information comparison and display, the cloud storage (3) downloads the backed-up information to the mobile terminal (2) of the user for the user to look up and compare, the user is assisted in purchasing the infant milk powder main body (1), the nitrogen content of the infant formula milk powder is detected remotely, and purchasing service is provided for the user without milk powder related knowledge.
2. The system of claim 1, wherein the system is configured to detect the nitrogen content of the infant formula: including high in the clouds memory (3) and baby milk powder main part (1), high in the clouds memory (3) signal connection has thing networking module (4), thing networking module (4) signal connection has cow-milk factory to detect processing terminal (5), third party laboratory detects processing terminal (7) and cow-milk factory monitor terminal (9) respectively, cow-milk factory detects processing terminal (5) signal connection has cow-milk factory main part (6), third party laboratory detects processing terminal (7) signal connection has third party laboratory main part (8), cow-milk factory monitor terminal (9) signal connection has cow-milk field main part (10), high in the clouds memory (3) signal connection has mobile terminal (2), and mobile terminal (2) are used for sweeping the commodity two-dimensional code on baby milk powder main part (1), wherein there is the date of production, the production date of product in cow-milk factory detects processing terminal (5) memory, Fresh milk incoming quality inspection information, milk powder outgoing quality inspection information and other related data, the third-party laboratory detection processing terminal (7) is internally provided with related data detected by a third party, and the dairy cow factory monitoring terminal (9) is internally provided with real-time detection monitoring information of a dairy cow farm main body (10).
3. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the S3 and the tracing of the fresh milk producing area, when the dairy farm main body (10) of the milk powder main body (1) at the source supply area is stopped or closed due to special reasons, the internet of things module (4) can automatically call the latest real-time monitoring information of the dairy farm main body (10) to the mobile terminal (2), and mark the corresponding monitoring information as past real-time monitoring.
4. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the S3 tracing of the fresh milk producing area, the Internet of things module (4) can also collect corresponding official reasons of the stoppage or closing of the dairy farm main body (10) and mark the reasons in corresponding monitoring information.
5. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: and in the detection results of the S4 and the third parties, different third-party laboratory main bodies (8) receive corresponding batches of milk powder detection orders when the milk powder leaves a factory, and the detection orders are randomly distributed by the Internet of things module (4).
6. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the S4 test result of the third party, the sample tested by the third party laboratory main body (8) needs to be purchased from the market by itself, and corresponding purchase information such as purchase place and purchase time is kept in the test result.
7. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the S4 and third-party detection results, at least three third-party laboratory main bodies (8) are required for detecting the infant milk powder main bodies (1) of each batch, and when the third-party detection results are called, more detection results are required to be called as much as possible.
8. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: and in the process of S5 and information gathering and downloading, places with obvious differences in detection results of the milk factory detection processing terminal (5) and the third-party laboratory detection processing terminal (7) are marked through color difference, and then the information gathered by the Internet of things module (4) is downloaded to the cloud storage (3).
9. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the information summarizing and downloading process of the S5, when the difference is highlighted by the Internet of things module (4), the allowable range of the detection item with the difference is marked, and the influence caused by the fact that the detection item exceeds the allowable range is marked.
10. The method for detecting the nitrogen content of infant formula according to claim 1, wherein the method comprises the following steps: in the S1 code scanning process, after the cloud storage (3) acquires batch information, the batch information is searched in self-backed data, when corresponding information is backed up, the corresponding information can be directly retrieved and downloaded to the mobile terminal (2), and when the corresponding information is not backed up, the S2 work of tracing the milk powder producing area to the source S6 and information backup is carried out, and finally the S3 work of tracing the fresh milk producing area to the source is carried out no matter whether the corresponding information is backed up in the cloud storage (3).
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| CN201910915634.2A CN110824121A (en) | 2019-09-26 | 2019-09-26 | Method for detecting nitrogen content of infant formula milk powder |
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| CN201910915634.2A CN110824121A (en) | 2019-09-26 | 2019-09-26 | Method for detecting nitrogen content of infant formula milk powder |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778507A (en) * | 2014-01-16 | 2014-05-07 | 华南理工大学 | Dairy product quality safety full-life-circle intelligent traceability method based on Internet of things |
| CN104158912A (en) * | 2014-09-04 | 2014-11-19 | 上海天臣控股有限公司 | Commodity tracing and customer-manufacturer interaction system and method |
| BR102013017328A2 (en) * | 2013-07-05 | 2015-06-30 | Ufa Usinagem Ferramentaria Automação Ind E Caldeiraria Ltda Me | Field milk traceability system |
| CN105469270A (en) * | 2016-01-14 | 2016-04-06 | 杭州甲骨文科技有限公司 | Agricultural product whole process traceability method and system |
| CN105608585A (en) * | 2015-12-16 | 2016-05-25 | 安徽景徽菜篮子电子商务有限公司 | Food safety tracing system and method |
| CN107067266A (en) * | 2017-03-24 | 2017-08-18 | 广东省食品药品监督管理局政务服务中心 | A kind of dispensed food for baby electronics traceability system |
| CN107423782A (en) * | 2017-05-25 | 2017-12-01 | 天津兰尚卓居智能科技有限公司 | Can Life cycle food security traceability system and method |
| CN108171522A (en) * | 2017-12-27 | 2018-06-15 | 重庆桦湖山生态农业股份有限公司 | A kind of agricultural product information retroactive method and system |
| CN109559126A (en) * | 2017-09-22 | 2019-04-02 | 苏州食行生鲜电子商务有限公司 | A kind of foodstuff traceability method |
| CN109858932A (en) * | 2019-01-30 | 2019-06-07 | 广东腾一科技有限公司 | A kind of product quality tracing system and method |
-
2019
- 2019-09-26 CN CN201910915634.2A patent/CN110824121A/en not_active Withdrawn
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR102013017328A2 (en) * | 2013-07-05 | 2015-06-30 | Ufa Usinagem Ferramentaria Automação Ind E Caldeiraria Ltda Me | Field milk traceability system |
| CN103778507A (en) * | 2014-01-16 | 2014-05-07 | 华南理工大学 | Dairy product quality safety full-life-circle intelligent traceability method based on Internet of things |
| CN104158912A (en) * | 2014-09-04 | 2014-11-19 | 上海天臣控股有限公司 | Commodity tracing and customer-manufacturer interaction system and method |
| CN105608585A (en) * | 2015-12-16 | 2016-05-25 | 安徽景徽菜篮子电子商务有限公司 | Food safety tracing system and method |
| CN105469270A (en) * | 2016-01-14 | 2016-04-06 | 杭州甲骨文科技有限公司 | Agricultural product whole process traceability method and system |
| CN107067266A (en) * | 2017-03-24 | 2017-08-18 | 广东省食品药品监督管理局政务服务中心 | A kind of dispensed food for baby electronics traceability system |
| CN107423782A (en) * | 2017-05-25 | 2017-12-01 | 天津兰尚卓居智能科技有限公司 | Can Life cycle food security traceability system and method |
| CN109559126A (en) * | 2017-09-22 | 2019-04-02 | 苏州食行生鲜电子商务有限公司 | A kind of foodstuff traceability method |
| CN108171522A (en) * | 2017-12-27 | 2018-06-15 | 重庆桦湖山生态农业股份有限公司 | A kind of agricultural product information retroactive method and system |
| CN109858932A (en) * | 2019-01-30 | 2019-06-07 | 广东腾一科技有限公司 | A kind of product quality tracing system and method |
Non-Patent Citations (4)
| Title |
|---|
| 刘明鑫，郑晓霞: "基于二维码的奶粉溯源***的设计与实现", 《成都航空职业技术学院学报》 * |
| 基于 NFC 技术的奶粉可追溯***设计研究: "田嘉培，葛磊", 《科技论坛》 * |
| 张兴艳等: "基于 RFID 的奶粉溯源***研究与应用", 《科学技术创新》 * |
| 敖乐根等: "浅析奶粉质量追溯***", 《内蒙古科技与经济》 * |
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