CN112258080A - Dairy product safety control system based on block chain - Google Patents

Dairy product safety control system based on block chain Download PDF

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Publication number
CN112258080A
CN112258080A CN202011217127.0A CN202011217127A CN112258080A CN 112258080 A CN112258080 A CN 112258080A CN 202011217127 A CN202011217127 A CN 202011217127A CN 112258080 A CN112258080 A CN 112258080A
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information
production
unit
product
feedback
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Inventor
王小鹏
董硕峰
郭豫杰
姜波
周霞
冯利青
郭培培
陈茜
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Henan Huahuaniu Dairy Industry Group Co ltd
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Henan Huahuaniu Dairy Industry Group Co ltd
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Priority to CN202011217127.0A priority Critical patent/CN112258080A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining

Abstract

The invention discloses a block chain-based dairy product safety control system, wherein a food enterprise encrypts and uploads production information of dairy products by using a block chain technology, an information receiving module classifies the production information after receiving the production information and sends planned production information to an information pushing module, the information pushing module pushes the planned production information to a mobile phone end of a fixed consumer of the food enterprise and collects feedback information of the consumer, the information pushing module sends the feedback information to an evaluation module, the evaluation module summarizes and analyzes the feedback information to obtain a planned production recommendation index, the enterprise adjusts production by inquiring the planned production recommendation index, and the consumer can receive the latest production information by pushing the information of the information pushing module, so that the problems of production information delay or key information missing and the like are avoided, the consumer can directly feed back products, and the enterprise can also make production adjustment in time by the feedback information, unnecessary food waste and economic loss are avoided.

Description

Dairy product safety control system based on block chain
Technical Field
The invention relates to the field of food safety, in particular to a block chain-based dairy product safety control system.
Background
With the improvement of social development and the living standard of people, the food safety field receives more and more attention, and dairy products are used as necessary nutrients in our lives, so that the dairy products are important nutrient sources for people of all ages, the dairy products have larger demand, the production speed of the dairy products is higher, the shelf life of the dairy products is shorter, the product updating time is shorter, especially for fixed consumers with long-term requirements on the dairy products, the fixed consumers cannot obtain latest production information in time, and the production plan of dairy product processing enterprises is not known; in the prior art, production information is only uploaded to a data platform, a consumer cannot know various information in time, a food production enterprise cannot obtain information feedback of the consumer, the production information uploading process has a risk of being tampered, and a block chain is a chain data structure formed by combining data blocks in a sequential connection mode according to a time sequence and is a distributed account book which is guaranteed to be non-tampered and non-faked in a cryptographic mode.
Disclosure of Invention
In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a block chain-based dairy product safety control system, which improves the trust between an enterprise and a consumer by pushing information to the consumer, so that the consumer can know the production information of various dairy products in time to prevent the occurrence of food safety problems.
The technical scheme includes that the system comprises a permission authentication module, an information receiving module, an information pushing module, an evaluation module and a database storage query module, wherein the permission authentication module comprises a registration information unit and a demand authentication unit, the information receiving module comprises an information classification unit and an information sending unit, the information pushing module comprises a planned production stopping unit, a planned production unit and a current production unit, the evaluation module comprises a feedback information unit, a summary analysis unit and a planned production recommendation unit, and the database storage query module comprises a storage unit and an information query unit;
the specific action steps of the system are as follows:
s1: the consumer and the enterprise carry out identity authentication through the registration information unit in the authority authentication module, and after the identity authentication is successful, the enterprise can confirm the request of uploading the production information through the requirement authentication unit and upload the production information of the enterprise;
s2: after receiving the production information sent by an enterprise, the information receiving module classifies the production information into planned production information, production process information and production detection information through the information classifying unit, and the information sending unit sends the planned production information to the information pushing module;
s3: after receiving the planned production information, the information pushing module divides the planned production information into three types of to-be-stopped-product information, new product information and currently-produced product information, and respectively stores the three types of to-be-stopped-product information, the new product information and the currently-produced product information in the planned stop-product unit, the planned production unit and the currently-produced unit, the information pushing module sends different types of planned production information to a mobile phone end of a consumer paying attention to an enterprise of the consumer, the consumer feeds back corresponding to-be-stopped-product feedback information, new product feedback information and currently-produced product feedback information to the information pushing module through the mobile phone end, and the information pushing module sends the to-be-stopped-product feedback information, the new product feedback information and;
s4: the evaluation module receives three feedback information, namely to-be-stopped product feedback information, new product feedback information and currently-produced product feedback information, stores the three feedback information to a feedback information unit of the evaluation module, extracts the three feedback information in the feedback information unit by the summary analysis unit, analyzes and calculates the three feedback information respectively to obtain corresponding planned production recommendation indexes, and stores the three feedback indexes in a planned production recommendation unit;
s5: the enterprise can confirm the request of enterprise inquiry information through the requirement authentication unit, and the enterprise can adjust the production plan through inquiring the plan production recommendation index in the plan production recommendation unit.
The summary analysis unit respectively analyzes and calculates the three types of feedback information to obtain corresponding planned production recommendation indexes, which are as follows;
when the summary analysis unit calls the feedback information of the product to be stopped, the analysis process is as follows:
1) the feedback information of the product to be shut down is feedback questionnaire information filled by a consumer, the feedback questionnaire information comprises a living place, the acidity and sweetness of the product, the consistency, packaging and final evaluation, the final evaluation is selected by the consumer in three answers of dislike, common and like, and in the first step, a summary analysis unit counts the living place and the final evaluation in all the feedback questionnaire information;
2) marking the living places of all consumers in the feedback information of the products to be stopped in the map in the form of small red dots, dividing the area where the consumers are located into a comment intensive area A and a comment sparse area B according to the intensity of all marked small red dots, and respectively calculating the number N of total feedback questionnaires for evaluating the products to be stopped in the areas A and B1And N2Calculating the number of feedback questionnaires which are finally evaluated as disliked in the comment-dense area A as A1The final evaluation was that the number of general feedback questionnaires was A2The number of feedback questionnaires finally evaluated as favorite is A3And the number of the three categories in the comment sparse area B is respectively marked as B1,B2,B3Separately calculate A1,A2,A3And N is1The percentage of the ratio of (A) is expressed as a1,a2,a3Separately calculate B1,B2,B3And N2The percentage of the ratio of (b) is expressed as b1,b2,b3
3) Third step, according to the percentage a of the two areas A and B1And b1Within the range, calculating the recommended planned production index Y, when the percentage a of the A and B areas is1And b1Are all more than seventy percent, the planned production recommendation index Y is zero star when the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than seventy percent, the planned production recommendation index Y is one star if the percentage a1And b1Are all more than fifty percent and less than seventy percent, the planned production recommendation index Y is two stars if the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than thirty percent and less than fifty percent, the planned production recommendation index Y is three stars if the percentage a1And b1All in more than thirty percent and less than fifty percent of love branches, the planned production recommendation index Y is four stars if the percentage a1And b1All are below thirty percent, the planned production recommendation index Y is five stars, and the planned production recommendation index is stored in a planned production recommendation unit;
when the summary analysis unit calls the feedback information of the currently produced product and the feedback information of the new product, the summary analysis unit can predict the sales volume of the currently produced product and the new product according to the feedback information of the currently produced product and the feedback information of the new product, and then calls the historical sales volume of the currently produced product in the database storage query module to obtain the development trend of the sales volume, if the development trend of the sales volume is rising, the enterprise can enlarge the production scale, and if the development trend of the sales volume is falling, the enterprise can upload the currently produced product as the product to be stopped again, namely, the step returns to the step S1.
The registration information unit in the authority authentication module stores registration information of enterprises and consumers, the consumers need to fill concerned enterprise information when filling the registration information, the information push module pushes information according to the concerned enterprise information, and the requirement authentication unit is used for requesting authentication of the consumers and the enterprises.
The production process information in the information receiving module comprises product type, product production time, product raw material auxiliary material information, product additive ratio, product production sterilization records and product packaging materials, the production detection information comprises enterprise audit information, product detection information, material inspection information and processing personnel registration information, and the information sending unit sends the planned production information, the production process information and the production detection information to the database storage and query module.
The database storage and query module comprises a storage unit and an information query unit, wherein the storage unit is used for storing consumer feedback information, historical production information, planned production information, production process information and production detection information, and consumers and enterprises can query the storage content of the storage unit through the information query unit.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. the enterprise can upload the production information of the product through the system and push planned production information to fixed consumers of the enterprise through the information pushing module, so that the consumers can know the latest production information, the problems of short shelf life of the dairy products and the updating speed of the product information are solved, the consumers can receive the latest production information of the enterprise and inquire the production information through the system, and the transparency of the dairy product production is improved.
2. The information pushing module is used for pushing planned production information to the consumer and collecting feedback information of the consumer, the feedback evaluation module is used for analyzing and calculating according to various feedback information to obtain an enterprise production recommendation index, and the enterprise can adjust the production plan in time according to the enterprise production recommendation index to prevent economic loss caused by food resource waste.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a block diagram of an information push module;
FIG. 3 is a block diagram of an evaluation module.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1 to 3. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
In the first embodiment, the first step is,
the system comprises an authority authentication module for authenticating the identities of consumers and enterprises, an information receiving module for receiving production information of the enterprises, an information pushing module for forcibly recommending information to fixed consumers, an evaluation module for intelligently evaluating the collected feedback information and a database storage and query module for storing all the production information queried, can be managed and used by an official monitoring department, the monitoring department can call the production information in the database storage and query module without authenticating the identities and check the enterprise audit information of food enterprises, the authority authentication module comprises a registration information unit and a demand authentication unit, the information receiving module comprises an information summarizing and classifying unit and an information sending unit, the information pushing module comprises a planned shutdown unit, a planned production unit and a current production unit, and the evaluation module comprises a feedback information unit, an analysis unit and a planned production recommending unit, the database storage and query module comprises a storage unit and an information query unit;
the specific action steps of the system are as follows:
s1: the consumer and the enterprise carry out identity authentication through a registration information unit in an authority authentication module, the consumer needs to fill in registration information when logging in for the first time and adds enterprise information concerning the enterprise, after the identity authentication is successful, the consumer can inquire the enterprise information, the enterprise can confirm a request for uploading production information through a requirement authentication unit and upload the production information of the enterprise, and can also confirm a request for enterprise self-check through a requirement authentication module;
s2: after receiving the production information sent by an enterprise, the information receiving module classifies the production information into planned production information, production process information and production detection information through the information classifying unit, and the information sending unit sends the planned production information to the information pushing module;
s3: after the information pushing module receives the planned production information, the planned production information is divided into three types of product information to be stopped producing, new product information and currently produced product information, the three types of production information can be simultaneously included, only one of the three types of production information can be respectively stored in the planned production stopping unit, the planned production unit and the currently produced unit, the planned production unit comprises new product introduction information and pre-tasting information, a consumer can find a place where a pre-tasting sample is issued through the received pre-tasting information, the pre-tasting sample can be obtained through an on-line application mode, and after the consumer tasts, the new product feedback information is returned to the planned production unit through a mobile phone end; the production unit comprises a production product introduction, a production product batch, a production product sale and a production product production; the information pushing module sends different types of planned production information to a mobile phone end of a consumer paying attention to an enterprise of the enterprise, the consumer returns corresponding feedback information of products to be stopped in production, new product feedback information and currently produced product feedback information to the information pushing module through the mobile phone end, the three types of feedback information are collected in a feedback questionnaire mode, investigation contents of the three types of feedback questionnaires can be different, and the information pushing module sends the feedback information of the products to be stopped in production, the new product feedback information and the currently produced product feedback information to the evaluation module;
s4: the evaluation module receives three feedback information, namely to-be-stopped product feedback information, new product feedback information and currently-produced product feedback information, stores the three feedback information to a feedback information unit of the evaluation module, extracts the three feedback information in the feedback information unit by the summary analysis unit, analyzes and calculates the three feedback information respectively to obtain corresponding planned production recommendation indexes, and stores the three feedback indexes in a planned production recommendation unit;
s5: the enterprise can confirm the request of enterprise inquiry information through the requirement authentication unit, and the enterprise can adjust the production plan through inquiring the plan production recommendation index in the plan production recommendation unit.
The summary analysis unit respectively analyzes and calculates the three types of feedback information to obtain corresponding planned production recommendation indexes as follows;
when the summary analysis unit calls the feedback information of the product to be stopped, the analysis process is as follows:
1) the feedback information of the products to be shut down is feedback questionnaire information filled by a consumer, three types of planned production information are directed at different products, when the sales volume of a certain product is not high or economic loss is brought to an enterprise, the product can be uploaded as the product to be shut down, adjustment is performed after feedback of the consumer, all the feedback questionnaire information is focused on suggestions of the consumer for tasting the eaten and purchased dairy products, the feedback questionnaire information comprises a living place, the acid and sweetness degree, the consistency, packaging and final evaluation, the final evaluation is selected by the consumer in three answers of dislike, common and like, and in the first step, the summary analysis unit counts the living place and the final evaluation in all the feedback questionnaire information;
2) marking the living places of all consumers in the feedback information of the products to be stopped in the map in the form of small red dots, dividing the area where the consumers are located into a comment intensive area A and a comment sparse area B according to the intensity of all marked small red dots, and respectively calculating the number N of total feedback questionnaires for evaluating the products to be stopped in the areas A and B1And N2Calculating the number of feedback questionnaires which are finally evaluated as disliked in the comment-dense area A as A1The final evaluation was that the number of general feedback questionnaires was A2The number of feedback questionnaires finally evaluated as favorite is A3And the number of the three categories in the comment sparse area B is respectively marked as B1,B2,B3(ii) a Respectively calculate A1,A2,A3And N is1The percentage of the ratio of (A) is expressed as a1,a2,a3Separately calculate B1,B2,B3And N2The percentage of the ratio of (b) is expressed as b1,b2,b3
3) Third step, according to the percentage a of the two areas A and B1And b1The range of the planned production is calculatedIndex Y is recommended, when percentage a of two areas A and B1And b1Are all more than seventy percent, the planned production recommendation index Y is zero star when the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than seventy percent, the planned production recommendation index Y is one star if the percentage a1And b1Are all more than fifty percent and less than seventy percent, the planned production recommendation index Y is two stars if the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than thirty percent and less than fifty percent, the planned production recommendation index Y is three stars if the percentage a1And b1All in more than thirty percent and less than fifty percent of love branches, the planned production recommendation index Y is four stars if the percentage a1And b1All are below thirty percent, the planned production recommendation index Y is five stars, and the planned production recommendation index is stored in a planned production recommendation unit;
when the summary analysis unit retrieves the feedback information of the currently produced product and the feedback information of the new product, the summary analysis unit may predict the sales volume of the currently produced product and the new product according to the feedback information of the currently produced product and the feedback information of the new product, and then retrieve the historical sales volume of the currently produced product in the database storage query module to obtain the development trend of the sales volume, if the development trend of the sales volume is rising, the enterprise may expand the production scale, if the development trend of the sales volume is falling, the enterprise may upload the currently produced product as the product to be stopped again, that is, return to step S1, the currently produced product is generally the product which is being produced in large quantity and profitable, so the final analysis result is different from the final analysis result of the product to be stopped, after the summary analysis module analyzes the feedback information of the currently produced product to obtain the recommended production plan index, the recommended production plan index is stored in the recommended production unit, the summary analysis module can also analyze the development trend of the sales volume by calling the historical sales volume of the current produced product and indicate that the product has the production problem when the development trend is reduced.
The system comprises a permission authentication module, an information pushing module, a demand authentication unit and a demand authentication unit, wherein the registration information unit in the permission authentication module stores registration information of enterprises and consumers, the consumers need to fill concerned enterprise information when filling the registration information, the information pushing module pushes information according to the concerned enterprise information, the consumers with fixed demands for dairy products pay more attention to the production state of the dairy products than general consumers, the production information of the concerned dairy product enterprises is generally the fixed consumers of the enterprises, such as parents of teenagers, the demand authentication unit is used for requesting authentication of the consumers and the enterprises, and the demand authentication unit is used for confirming what demands exist in login so that the consumers and the enterprises can inquire the wanted information more quickly.
The production process information in the information receiving module comprises product type, product production time, product raw material auxiliary material information, product additive proportion, product production sterilization records and product packaging materials, the raw material auxiliary material information comprises feeding time, preprocessing information storage duration and ingredient adding time, the product additive proportion comprises all additive types, additive content information, additive adding time and additive percentage in dairy products, the product production sterilization records comprise raw material ingredient sterilization time, sterilization records of production staff and sterilization records of production appliances, the production detection information comprises enterprise audit information, product detection information, material inspection information and processing staff registration information, and the information sending unit sends planned production information, production process information and production detection information to the database storage and query module.
The database storage and query module comprises a storage unit and an information query unit, wherein the storage unit is used for storing consumer feedback information, historical production information, planned production information, production process information and production detection information, various information is stored in the storage module in a classified manner, the information query unit can call the production information from the storage unit according to a request, both consumers and enterprises can query the storage content of the storage unit through the information query unit, a block chain technology is a common technology for ensuring the safe transmission of data, all the transmissions related to the production information in the system are encrypted through the block chain technology, the production information is ensured not to be tampered, the consumers and the enterprises obtain real data, the block chain technology is a common technology for ensuring the safe transmission of the data, all the transmissions related to the production information in the system are encrypted through the block chain technology, the production information is guaranteed not to be tampered, and consumers and enterprises can obtain real data.
When the invention is used in particular, the invention,
the system comprises an authority authentication module, an information receiving unit, an information pushing unit, an evaluation unit and a database storage and query unit, wherein the authority authentication module comprises a registration information unit and a demand authentication unit, an enterprise determines identity through the registration information unit of the authority authentication module, and uploads production information to the information receiving module after confirming a request for uploading information through the demand authentication unit, the information receiving module comprises an information classification unit and an information sending unit, the production information is classified in the information classification unit after the information receiving module receives the production information, and then the information sending unit is utilized to send planned production information to the information pushing module, the information pushing module comprises a planned production stopping unit, a planned production unit and a current production unit, and the planned production information is divided into three types of to-be-stopped product information, new product information and current production product information, the information pushing module classifies and stores the planned production information in a planned production stopping unit, a planned production unit and a current production unit, the production information of different plans is pushed to a mobile phone end of a fixed consumer of a food enterprise, the feedback information of different products is returned to an information pushing module by the consumer through the mobile phone end, the information pushing module sends the feedback information to an evaluation module, the evaluation module comprises a feedback information unit, a summary analysis unit and a planned production recommendation unit, the evaluation module stores and summarizes the feedback information to obtain a planned production recommendation index, the enterprise adjusts production through inquiring the planned production recommendation index, a database storage and inquiry module comprises a storage unit and an information inquiry unit, the information sending unit sends the production information to a storage unit of the database storage and inquiry module, and the enterprise and the consumer can inquire the storage information of the storage unit through the information inquiry unit.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.

Claims (5)

1. A block chain-based dairy product safety control system is characterized by comprising an authority authentication module, an information receiving module, an information pushing module, an evaluation module and a database storage query module, wherein the authority authentication module comprises a registration information unit and a demand authentication unit, the information receiving module comprises an information classification unit and an information sending unit, the information pushing module comprises a plan production stop unit, a plan production unit and a current production unit, the evaluation module comprises a feedback information unit, a summary analysis unit and a plan production recommendation unit, and the database storage query module comprises a storage unit and an information query unit;
the specific action steps of the system are as follows:
s1: the consumer and the enterprise carry out identity authentication through the registration information unit in the authority authentication module, and after the identity authentication is successful, the enterprise can confirm the request of uploading the production information through the requirement authentication unit and upload the production information of the enterprise;
s2: after receiving the production information sent by an enterprise, the information receiving module classifies the production information into planned production information, production process information and production detection information through the information classifying unit, and the information sending unit sends the planned production information to the information pushing module;
s3: after receiving the planned production information, the information pushing module divides the planned production information into three types of to-be-stopped-product information, new product information and currently-produced product information, and respectively stores the three types of to-be-stopped-product information, the new product information and the currently-produced product information in the planned stop-product unit, the planned production unit and the currently-produced unit, the information pushing module sends different types of planned production information to a mobile phone end of a consumer paying attention to an enterprise of the consumer, the consumer feeds back corresponding to-be-stopped-product feedback information, new product feedback information and currently-produced product feedback information to the information pushing module through the mobile phone end, and the information pushing module sends the to-be-stopped-product feedback information, the new product feedback information and;
s4: the evaluation module receives three feedback information, namely to-be-stopped product feedback information, new product feedback information and currently-produced product feedback information, stores the three feedback information to a feedback information unit of the evaluation module, extracts the three feedback information in the feedback information unit by the summary analysis unit, analyzes and calculates the three feedback information respectively to obtain corresponding planned production recommendation indexes, and stores the three feedback indexes in a planned production recommendation unit;
s5: the enterprise can confirm the request of enterprise inquiry information through the requirement authentication unit, and the enterprise can adjust the production plan through inquiring the plan production recommendation index in the plan production recommendation unit.
2. The block chain-based dairy product safety control system according to claim 1, wherein the summary analysis unit analyzes and calculates the three feedback information to obtain corresponding planned production recommendation indexes, specifically as follows;
when the summary analysis unit calls the feedback information of the product to be stopped, the analysis process is as follows:
1) the feedback information of the product to be shut down is feedback questionnaire information filled by a consumer, the feedback questionnaire information comprises a living place, the acidity and sweetness of the product, the consistency, packaging and final evaluation, the final evaluation is selected by the consumer in three answers of dislike, common and like, and in the first step, a summary analysis unit counts the living place and the final evaluation in all the feedback questionnaire information;
2) marking the living places of all consumers in the feedback information of the products to be stopped in the map in the form of small red dots, dividing the area where the consumers are located into a comment intensive area A and a comment sparse area B according to the intensity of all marked small red dots, and respectively calculating the number N of total feedback questionnaires for evaluating the products to be stopped in the areas A and B1And N2Calculating the number of feedback questionnaires which are finally evaluated as disliked in the comment-dense area A as A1Finally evaluated asThe number of general feedback questionnaires is A2The number of feedback questionnaires finally evaluated as favorite is A3And the number of the three categories in the comment sparse area B is respectively marked as B1,B2,B3Separately calculate A1,A2,A3And N1The percentage of the ratio of (A) is expressed as a1,a2,a3Separately calculate B1,B2,B3And N2The percentage of the ratio of (b) is expressed as b1,b2,b3
3) Third step, according to the percentage a of the two areas A and B1And b1Within the range, calculating the recommended planned production index Y, when the percentage a of the A and B areas is1And b1Are all more than seventy percent, the planned production recommendation index Y is zero star when the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than seventy percent, the planned production recommendation index Y is one star if the percentage a1And b1Are all more than fifty percent and less than seventy percent, the planned production recommendation index Y is two stars if the percentage a1And b1One of which is more than fifty percent and less than seventy percent, and the other is more than thirty percent and less than fifty percent, the planned production recommendation index Y is three stars if the percentage a1And b1All over thirty percent and below fifty percent, the planned production recommendation index Y is four stars if the percentage a1And b1All are below thirty percent, the planned production recommendation index Y is five stars, and the planned production recommendation index is stored in a planned production recommendation unit;
when the summary analysis unit calls the feedback information of the currently produced product and the feedback information of the new product, the summary analysis unit can predict and obtain the sales volume of the currently produced product and the new product according to the feedback information of the currently produced product and the feedback information of the new product, then calls the historical sales volume of the currently produced product in the database storage query module to obtain the development trend of the sales volume, if the development trend of the sales volume is rising, the enterprise can enlarge the production scale, if the development trend of the sales volume is falling, the enterprise can upload the currently produced product as the product to be stopped again, and then returns to the step S1.
3. The block chain-based dairy product security control system of claim 1, wherein the registration information unit in the authority authentication module stores registration information of an enterprise and a consumer, the consumer needs to fill in concerned enterprise information when filling in the registration information, the information pushing module pushes information according to the concerned enterprise information, and the requirement authentication unit is used for requesting authentication of the consumer and the enterprise.
4. The block chain-based dairy product safety control system of claim 1, wherein the production process information in the information receiving module comprises product type, product production time, product raw material and auxiliary material information, product additive ratio, product production sterilization records and product packaging materials, the production detection information comprises enterprise audit information, product detection information, material inspection information and processing personnel registration information, and the information sending unit sends the planned production information, the production process information and the production detection information to the database storage and query module.
5. The block chain-based dairy product safety control system of claim 1, wherein the database storage query module comprises a storage unit and an information query unit, the storage unit is used for storing consumer feedback information, historical production information, planned production information, production process information and production detection information, and both consumers and enterprises can query the storage content of the storage unit through the information query unit.
CN202011217127.0A 2020-11-04 2020-11-04 Dairy product safety control system based on block chain Withdrawn CN112258080A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113973970A (en) * 2021-09-28 2022-01-28 中山东菱威力电器有限公司 Modular ice cream device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113973970A (en) * 2021-09-28 2022-01-28 中山东菱威力电器有限公司 Modular ice cream device
CN113973970B (en) * 2021-09-28 2023-08-29 中山东菱威力电器有限公司 Modularized ice cream device

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