CN103530808B - Whole-process tracing system for quality safety of fruit logistics - Google Patents
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- CN103530808B CN103530808B CN201310514556.8A CN201310514556A CN103530808B CN 103530808 B CN103530808 B CN 103530808B CN 201310514556 A CN201310514556 A CN 201310514556A CN 103530808 B CN103530808 B CN 103530808B
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Abstract
The invention discloses a whole-process tracing system for the quality safety of fruit logistics. The system comprises a product tracking system and a product tracing system, wherein the product tracking system and the product tracing system are connected with a tracing platform database respectively; the product tracking system comprises a product quality prediction subsystem connected with the tracing platform database and an auditing and monitoring subsystem; the auditing and monitoring subsystem is connected with a registration and application subsystem and an information acquisition subsystem respectively; the product tracing system comprises a tracing coding subsystem, a tracing source inquiring subsystem and an information release and management subsystem which are connected with the tracing platform database respectively. The system implements effective supervision on links such as fruit planting, processing, circulating and sale by utilizing technologies such as internet, radio frequency identification (RFID) and two-dimensional codes. The system can realize multi-platform tracing, and customers can perform fruit quality tracing through scanning ends of websites, mobile phones, telephones and touch screens.
Description
Technical field
The invention belongs to Intelligent logistics and technical field of food safety, relate to a kind of fruit logistics whole process quality peace
The system and method entirely reviewed.
Background technology
Along with improving constantly of people's quality of life, the requirement to fruit safety the most more refines, just fruit
For product, real green non-pollution fruit, always consumer's concern the most just can be bought.And
At present the most whether fruit market, supermarket or retailer, all cannot have any actual knowledge of fruit plantation, processing,
The concrete condition of the links such as transport, sale, cannot meet right to know and the right to choose of consumer at all.
J2EE is a set of entirely different in the Technical Architecture of tradition application and development, comprises many assemblies, mainly may be used
Simplify and the exploitation of specification application system and deployment, so improve portable, safety with again with being worth.
J2EE core is one group of technical specification and guide, various components, service architecture and the skill included in it
Art level, all has common standard and specification, allows between the various different platform following J2EE framework, exists
Good compatibility, the information products solving enterprise backend use in the past each other cannot be compatible, causes enterprise
Industry is interiorly or exteriorly difficult to the awkward situation of intercommunication.
J2EE be build there is scalability, motility, the business system of ease for maintenance provide good machine
System:
1. retain existing IT assets: owing to enterprise must adapt to new business demand, utilize existing enterprise
Investment in terms of information system rather than reformulate overall scheme and just become critically important.Such a with gradually
It is that company is required that the mode entered sets up the server end platform mechanism on existed system.
During the service end task that exploitation: J2EE allows company that some are general, troublesome the most efficiently is given
Jian Jian supplier has gone.So developer can concentrate one's energy how to create on business logic, accordingly
Shorten the development time.
3. support that isomerous environment: J2EE can development deployment portable program in isomerous environment.Based on
The application program of J2EE is independent of any specific operation system, middleware, hardware.
4. scalability: enterprise have to select a kind of server end platform, and this platform should be able to provide splendid
Scalability go to meet those large quantities of new clients carrying out commercial operation in their system.Based on J2EE
The application program of platform can be deployed in various operating system.
The most stable availability: server end platform must be able to round-the-clock operating with meet corporate client,
The needs of affiliate.
RFID (RF identification: radio frequency identification) is a kind of contactless automatic identification
Technology, it is automatically identified destination object by radiofrequency signal and is obtained related data, identifies that work need not be artificial
Intervene, as the wireless version of bar code, RFID technique have not available for bar code waterproof, antimagnetic,
High temperature resistant, length in service life, read that distance is big, on label data can encrypt, store data capacity bigger,
The storage information change advantage such as freely, its application will bring revolutionary variation to the industry such as retail, logistics.
The basic functional principle of RFID (radio frequency identification) technology is the most uncomplicated: mark
Signing after entering magnetic field, receive the radiofrequency signal that plug-in reader sends, the energy obtained by faradic current sends
Go out storage product information (Passive Tag, passive label or passive tag) in the chips, or actively send out
Send the signal (Active Tag, active label or active tag) of a certain frequency;Plug-in reader reads information and decodes
After, deliver to CIS and carry out relevant data process.The rfid system of complete set, is by reader
(Reader) with electronic tag (TAG) the most so-called transponder (transponder) and application software system
Three parts are formed, its operation principle be Reader launch the radio wave energy of a characteristic frequency to
Transponder, in order to drive Transponder circuit internal data to be sent, now Reader is just
Received in sequence unscrambling data, gives application program and does corresponding process.
Quick Response Code, is to be distributed in plane (on two-dimensional directional) according to certain rules with certain specific geometric figure
Chequered with black and white graphic recording data symbol information, coding utilizes dexterously and constitutes computer
The concept of " 0 ", " 1 " bit stream on internal logic basis, uses the geometrical body that several are corresponding with binary system
Represent word numerical information, by image input device or photoelectric scanning device automatically identifying and reading to realize information
Automatically process.It has some general character of barcode technology: every kind of code system has its specific character set;Each word
Symbol occupies certain width;There is certain verifying function etc..The most also there is the information to different rows automatic
Identify function and process the features such as figure is rotationally-varying.
Electronic tag is that the existing chip being combined into by RFID electronic chip and Quick Response Code has again Quick Response Code
Electronic tag.RFID electronic chip and Quick Response Code be combined into the most reproducible whole world sole electron label,
Make it the most false proof, it is also possible to trace to its source.
Data mining (Data Mining, DM) is also known as Knowledge Discovery (the Knowledge Discover in data base
In Database, KDD), it is current artificial intelligence and the hot issue of data base's area research, so-called data
Excavate and refer to from the mass data of data base, disclose letter that is implicit, not previously known and that have potential value
The non-trivial process of breath.Data mining is a kind of decision support processes, and it is based primarily upon artificial intelligence, machine
Study, pattern recognition, statistics, data base, visualization technique etc., analyze enterprise increasingly automatedly
Data, make the reasoning of inductive, therefrom excavate potential pattern, and aid decision making person adjusts market strategy,
Reduce risks, make correct decision-making.
Data mining is by analyzing each data, finding the technology of its rule, mainly have from mass data
Data prepare, rule is found and rule represents 3 steps.It is to choose from relevant data source that data prepare
Required data are also integrated into the data set for data mining;It is with someway by data set that rule is found
Contained rule is found out;Rule represents it is will to look in the intelligible mode of user (such as visualization) as far as possible
The rule gone out shows.
Summary of the invention
It is an object of the invention to provide the system and method that a kind of fruit logistics whole process quality safety is reviewed, utilize
Database technology network technology and barcode technology, by building unified trace platform, the agricultural production of Erecting and improving
Quality reviews system, it is achieved the production safety management to fresh fruit manufacturing enterprise, and provides consumer
Tracing information, plays exemplary role for other enterprises simultaneously, advances carrying out of fruit quality trouble free service.
Due to most Fruits production cycle length, fresh fruit water content height, transporting procedures easily produces damage.
Great particularity is answered in the establishment of its traceability system, and this system uses the Internet, RFID (less radio-frequency), electronics
The advanced technology such as label and Quick Response Code, grows fruit kind, processes, circulates, the link such as sale implements effectively prison
Pipe;And be analyzed by data mining technology thus the quality of fruit is carried out affecting fruit quality factor
Prediction, thus reduce loss, increase the benefit.
For solving above-mentioned technical problem, the technical solution of the present invention is:
A kind of whole-process tracing system for quality safety of fruit logistics, including tracking of products system and product back-tracing system,
Tracking of products system and product back-tracing system are connected with trace platform data base respectively;
Described tracking of products system includes examination & verification supervision subsystem, the product matter being connected with trace platform data base
Amount predicting subsystem and information gathering subsystem, examination & verification supervision subsystem connect respectively application for registration subsystem and
Information gathering subsystem;
What described product back-tracing system included being connected with trace platform data base respectively reviews code-subsystem, traces back
Source Query Subsystem and information releasing and management subsystem;
The terminal that application for registration subsystem and information gathering subsystem are collected by described examination & verification supervision subsystem respectively
Back ground Information carries out Back ground Information audits and supervises, and the information passing through examination & verification and supervision preserves to reviewing
Platform database;
In described product quality forecast subsystem, prediction module and model building module select module to enter with predictor
Row is mutual, completes the prediction of product quality, it was predicted that information shows in client;
Described information releasing and management subsystem, completes system update and maintenance, and information preserves to trace platform
Data base;
Described review code-subsystem, complete to extract in trace platform data base and trace to the source what Query Subsystem needed
Data, and these data are encrypted formation traceability code, information preserves to trace platform data base;
Described Query Subsystem of tracing to the source, completes network address and traceability code according to providing on label and carries out to this system
Information inquiry, and Query Information is transmitted to trace platform data base.
Further, the Back ground Information that described examination & verification supervision subsystem completes submitting to is audited, the most right
The information of information gathering subsystem collection exercises supervision, if the information gathered is above standard, then carries out early warning.
Further, described information gathering subsystem reads equipment by RFID and obtains the RFID of product identification
Unit, the production information of fruit, transit information, inventory information, machining information, finished product information and sale
Information uploads in trace platform data base.
Further, described product quality forecast subsystem extracts training data source through number from data base
Data preprocess forms training dataset, then product quality is predicted by predictor based on different algorithms,
The result of prediction is divided into safe and dangerous two classes.
Further, described data prediction, by filling in the value of disappearance, smooth noise data, identification
Or delete outlier and solve discordance and carry out " cleaning " data, reach standardized format, abnormal data clear
Remove, error correcting and repetition data dump target;What data prediction also included continuous data simultaneously is discrete
Change, if the date is continuous print, can carry out discrete by dividing different threshold values.
Further, described predictor includes the predictor that single algorithm predicts device and many algorithms combine, wherein
Single algorithm predicts device includes predictor based on neural network algorithm, predictor based on random tree algorithm and base
Predictor in addicted regression algorithm;Many algorithms combine predictor be by composite pattern will more than
Three kinds of algorithms combine and are predicted.
Further, Query Subsystem of tracing to the source described in obtains product mark by Quick Response Code scanner scanning Quick Response Code
Know.
Further, review code-subsystem described in and be encrypted formation traceability code, data encryption process
Process including place of production code encryption, date of manufacture code encryption processes encryption and check code encryption.
Described information releasing and management subsystem, completes the synchronization of foreground display content by unified operation interface
Update, and information content is added data base, it is not necessary to revise whole homepage or increase the new page, also allowing for
User inquires about.Utilize unified information releasing and management subsystem, use, safeguard, manage and be based on Web circle
Face, without professional technique, makes the easy maintenance of system to having only to words input and link picture, uploading literary composition
Part (includes the formatted files such as PDF, PPT, EXCEL, WORD, RAR, FLASH), supports simultaneously
HTML code typing, visual editing mode etc., realize desktop editing software (such as Word) on webpage and have
The powerful visual editing function having.
Query Subsystem of tracing to the source, inquiry fruit can be logged in by multiple terminal such as computer or mobile telephone scanning Quick Response Code
The production information of product, transit information, inventory information, machining information, finished product information and sales information, it is achieved
Fruit is carried out omnidistance quality tracing.
Relative to prior art, present invention is characterized in that
(1) present invention is to develop reviewing of programming technique foundation based on oracle relational database and J2EE to be
System, it has higher availability and extensibility.
(2) present invention can realize multi-platform reviewing, and consumer can pass through website, mobile phone, phone, touch
Touch screen scanning end to carry out fruit and review.
(3) present invention employs data mining technology, fruit quality can be predicted safely by enterprise with crossing,
Adjust the links such as production, transport and reduce loss, increase the benefit.
(4) present invention has a higher portability, just be generalized to each enterprise, it is possible to promote fruit
Level of security, and follow the Ministry of Agriculture, State General Administration for Quality Supervision about accelerating to advance agricultural product quality and safety to review
The general plan of System Construction.
Accompanying drawing explanation
Fig. 1 is the structure chart of whole-process tracing system for quality safety of fruit logistics.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described in detail.
As it is shown in figure 1, whole-process tracing system for quality safety of fruit logistics, including tracking of products system and product
Traceability system, tracking of products system and product back-tracing system are connected with trace platform data base respectively;Wherein,
Described tracking of products system includes examination & verification supervision subsystem, the product matter being connected with trace platform data base
Amount predicting subsystem and information gathering subsystem, examination & verification supervision subsystem connect respectively application for registration subsystem and
Information gathering subsystem;
What product back-tracing system included being connected with trace platform data base respectively reviews code-subsystem, traces to the source and look into
Ask subsystem and information releasing and management subsystem.
Wherein, in tracking of products system:
The terminal-based that application for registration subsystem and information gathering subsystem are collected by examination & verification supervision subsystem respectively
Information is audited and is supervised, and the information passing through examination & verification and supervision preserves to trace platform data base.
The Back ground Information that examination & verification supervision subsystem completes submitting to is audited, simultaneously to information gathering subsystem
The information gathered exercises supervision, if the information gathered is above standard, then carries out early warning.
Information gathering subsystem reads equipment by RFID and obtains the RFID unit of product identification, fruit
Production information, transit information, inventory information, machining information, finished product information and sales information upload to review
In platform database.
Product quality forecast subsystem sets up forecast model, from chasing after according to the basic data of trace platform data base
Trace back and platform database extracts training data source form training dataset through data prediction, at this model
On the basis of again predictor based on different algorithms product quality is predicted, it was predicted that result be divided into safety
With dangerous two classes, it was predicted that information shows in client.
Data prediction, by filling in the value of disappearance, smooth noise data, identifying or delete outlier and solve
Never concordance clears up data, carries out standardized format, abnormal data removing, error correcting and repeat number
According to removing;Data prediction also includes the discretization to continuous data simultaneously, comes by dividing different threshold values
Carry out the discrete of continuous data.
Predictor includes the predictor that single algorithm predicts device and many algorithms combine, and wherein single algorithm predicts device includes
Predictor based on neural network algorithm, predictor based on random tree algorithm and based on addicted regression algorithm
Predictor;The predictor that many algorithms combine is, by composite pattern, three of the above algorithm is combined in one
Rise and be predicted.
In product back-tracing system:
Information releasing and management subsystem, completes system update and maintenance, and information is transmitted to reviewing flat after preserving
Platform data base;Review code-subsystem, complete to extract in trace platform data base Query Subsystem needs of tracing to the source
Data, and these data are encrypted formation traceability code, information preserves to trace platform data base;
Trace to the source Query Subsystem, obtain product identification by Quick Response Code scanner scanning Quick Response Code, complete according to label
Network address and the traceability code of upper offer carry out information inquiry to this system, and transmit Query Information to trace platform
Data base.Reviewing code-subsystem and be encrypted formation traceability code, data encryption processes and includes place of production code
Encryption, date of manufacture code encryption process encryption and check code encryption.
Whole-process tracing system for quality safety of fruit logistics exploitation selects J2EE technical system, uses MVC (model
-form-control) mode development, by J2EE technology unitary construction on JAVA technology, in order to more preferably
Control Web project in change and improve product specialization level, introduce Struts technological frame, and
DAO technology (DAO) is introduced at Data Persistence Layer.
Concrete enforcement step is as follows:
The first step, trace platform data base designs: native system data base uses oracle database, and according to
Fruits production circulates actual finding and by the analysis to demand, determine create enterprise's Basic Information Table,
Label generates log, information issues log, review log, fruit verification table, enterprise product information
Table, product complain the database table such as table, these information tables have recorded the place of production information of fruit, manufacturer information,
Product quality information, intermediate links information etc., it is achieved that Fruits production enterprise is produced the unification of essential information
Management, constitutes the basic database of tracing management, is basis and the core of product back-tracing system.
Second step, overal system design: select J2EE technical system, use MVC pattern exploitation, in order to
Preferably control the change in Web project, introduce Struts technological frame, and introduce at Data Persistence Layer
DAO technology (DAO).
The specific design of each subsystem is as follows:
1. tracking of products system:
(1) log-on message application subsystem, mainly for the production of the application for registration in base.This subsystem passes through
On the human-computer interaction interface page, display needs filling registration information, and these log-on messages include production unit name
Title, identified in units code, organization mechanism code, business entity, peasant household and the chief crop etc. of plantation,
Click on after information solicitation that to submit to button to complete to register then display etc. pending, otherwise can click on replacement
Button is rewritten.
(2) examination & verification supervision subsystem, is mainly used in government department (agricultural sector the most at county level, quality surveillance portion
Door, the administration for industry and commerce etc.) in log-on message application subsystem apply for the registration of production base information carry out examination & verification and
Supervision.Specifically include production base login Account Administration, base essential information is audited, base produces matter money and examines
Core and crop production condition managing etc..If the Back ground Information that production base signal auditing completes submitting to enters
Row examination & verification, enters the account management page of human-computer interaction interface, can carry out the operations such as password amendment;Otherwise
Return log-on message application subsystem, and show that examination & verification is not passed through.
(3) information gathering subsystem, mainly the production information of fruit, transit information, inventory information, add
Work information, finished product information and sales information are uploaded onto the server in data base.
The operating procedure of the concrete links of information gathering subsystem is as follows:
The first step, production link: use RFID storage fruit information to fruit safety in production data
In storehouse, as fruit safe tracing initial data in future.
Second step, transit link: vehicle is allotted vehicle tag, record Bus Schedules and goods information,
Dispatch a car after joining and goods is transported enterprise warehouse.
3rd step, stock's link: manufacturing enterprise is identified record to goods of sending a car, and according to storage requirement
Deposit.Goods is associated with storage label information, and recorded background data base.
4th step, processing link: find out fruit raw material information to be processed, recognition storage mark from data base
After the success of label information, direct outbound is to workshop.By the identification at production link key point electronic tag,
Record this batch of real-time machining information of fruit.
5th step, finished product link: fruit after processing is packed, fractional pack prints bar code, wraps greatly
After electronic tag being installed in vanning, this packaged information is associated with fruit raw material information.
6th step, sales section: by identifying that processing enterprise transports the electronic tag on next finished packaging box
Or the bar code information on finished product, end-retailer updates self inventory information, when necessary, can pass through label
Interior information is implemented to trace back to manufacturing enterprise's information.
(4) product quality forecast subsystem, mainly sets up forecast model, at this model according to historical data
Basis is predicted, and is embodied as step as follows:
The first step, reads training data from data, and these data messages include the production information of fruit, fortune
Transmission information, inventory information, machining information, finished product information and sales information;
Second step, training data pretreatment, the training data that reading is come carries out Data Discretization and data are clear
Reason;
3rd step, the data through pretreatment form training dataset;
4th step, clicks on the predictor that predictor selects to select single algorithm predicts device and many algorithms to combine;
5th step, click model is set up, and i.e. generates forecast model according to the predictor selected;
6th step, in the data that prediction interface input is to be predicted, these data include the use of pesticide, chemical fertilizer
Amount, processing environment, inventory time, haulage time and temperature etc., clicking on prediction just can be to this batch of fruit matter
Amount is predicted;
7th step, if importing mass data in data base, needs to rebuild model, and click model refreshes,
Repeat the 6th step to be just predicted on the basis of new model.
2. product back-tracing system:
(1) review code-subsystem, from data base, mainly extract the vendor code of base agricultural products, product
Code, plucking time, batch code, place of production code etc., by proprietary encryption algorithm, generate by 25 Ah
The unordered code of Arabic numbers composition, i.e. fruit traceability code.
(2) trace to the source Query Subsystem, be mainly used in consumer and indicate this traceability system network address and chase after have purchased
Trace back the agricultural product of code time, inquire about to this system according to network address and the traceability code provided on label.Inquiry knot
Fruit include base log-on message, base produce qualification information, condition of production information, Pesticide use situation information,
Fertilizer application situation information, antistaling agent service condition information, detection case information etc., it is achieved consumer is to purchasing
The fruit bought carries out quality tracing.
(3) information releasing and management subsystem, is mainly used in needing the part often updated to be updated system
And safeguard, such as up-to-date information, the residual information of agriculture etc..Foreground display content is completed by unified operation interface
Synchronized update, and information content is added data base, it is not necessary to revise whole homepage or increase the new page, also
It is easy to user's inquiry.Utilize unified information releasing and management subsystem, use, safeguard, manage and be based on Web
Interface, without professional technique, makes the easy maintenance of system to having only to words input and link picture, uploading
File (includes the formatted files such as PDF, PPT, EXCEL, WORD, RAR, FLASH), props up simultaneously
Hold HTML code typing, visual editing mode etc., webpage realizes desktop editing software (such as Word) institute
The powerful visual editing function having.
Claims (7)
1. a whole-process tracing system for quality safety of fruit logistics, it is characterised in that include tracking of products system
It is connected with trace platform data base respectively with product back-tracing system, tracking of products system and product back-tracing system;
Described tracking of products system includes examination & verification supervision subsystem, the product matter being connected with trace platform data base
Amount predicting subsystem and information gathering subsystem, examination & verification supervision subsystem connects log-on message application subsystem respectively
System and information gathering subsystem;
Examination & verification supervision subsystem, is mainly used in government department to application for registration in log-on message application subsystem
Production base information is audited and is supervised;Specifically include production base login Account Administration, base is believed substantially
Breath examination & verification, base produce matter money examination & verification and crop production condition managing;
Log-on message application subsystem, mainly for the production of the application for registration in base;
Information gathering subsystem uses RFID storage fruit information to fruit safety in production data base
In, as fruit safe tracing initial data in future;
The terminal that application for registration subsystem and information gathering subsystem are collected by described examination & verification supervision subsystem respectively
Back ground Information is audited and is supervised, and the information passing through examination & verification and supervision preserves to trace platform data base;
In described product quality forecast subsystem, prediction module and model building module select module to enter with predictor
Row is mutual, completes the prediction of product quality, it was predicted that information shows in client;
Product quality forecast subsystem, mainly sets up forecast model, on the basis of this model according to historical data
It is predicted;
It is pre-through data that described product quality forecast subsystem extracts training data source from trace platform data base
Process forms training dataset, then predictor based on single algorithm predicts device and the combination of many algorithms is to product quality
Be predicted, it was predicted that result be divided into safe with dangerous two classes;
What described product back-tracing system included being connected with trace platform data base respectively reviews code-subsystem, traces back
Source Query Subsystem and information releasing and management subsystem;
Described information releasing and management subsystem, completes system update and maintenance, and information preserves to trace platform
Data base;
Described review code-subsystem, complete to extract in trace platform data base and trace to the source what Query Subsystem needed
Data, and these data are encrypted formation traceability code, information preserves to trace platform data base;
Described Query Subsystem of tracing to the source, completes network address and traceability code according to providing on label and carries out to this system
Information inquiry, and Query Information is transmitted to trace platform data base.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
The Back ground Information that described examination & verification supervision subsystem completes submitting to is audited, simultaneously to information gathering subsystem
The information gathered exercises supervision, if the information gathered is above standard, then carries out early warning.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
Described information gathering subsystem obtains the RFID unit of product identification by RFID read-write equipment, fruit
Production information, transit information, inventory information, machining information, finished product information and sales information upload to review
In platform database.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
Described data prediction, by filling in the value of disappearance, smooth noise data, identifying or delete outlier and solve
Never concordance clears up data, carries out standardized format, abnormal data removing, error correcting and repeat number
According to removing;Data prediction also includes the discretization to continuous data simultaneously, comes by dividing different threshold values
Carry out the discrete of continuous data.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
Described predictor includes the predictor that single algorithm predicts device and many algorithms combine, and wherein single algorithm predicts device includes
Predictor based on neural network algorithm, predictor based on random tree algorithm and based on addicted regression algorithm
Predictor;The predictor that many algorithms combine is, by composite pattern, three of the above algorithm is combined in one
Rise and be predicted.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
Described Query Subsystem of tracing to the source obtains product identification by Quick Response Code scanner scanning Quick Response Code.
Whole-process tracing system for quality safety of fruit logistics the most according to claim 1, it is characterised in that
Described code-subsystem of reviewing is encrypted formation traceability code, and data encryption processes and includes place of production code encryption
Process, date of manufacture code encryption processes encryption and check code encryption.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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Families Citing this family (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN103793807A (en) * | 2014-03-05 | 2014-05-14 | 中商商业发展规划院有限公司 | System and method for active forewarning in agricultural product tracing process |
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CN104599139A (en) * | 2014-12-31 | 2015-05-06 | 康美药业股份有限公司 | Tracing interaction system and tracing system interaction method |
CN104951964A (en) * | 2015-06-16 | 2015-09-30 | 深圳市建之友贸易发展有限公司 | Publication management system and method based on two-dimensional codes |
CN105303297A (en) * | 2015-09-23 | 2016-02-03 | 河南科创信泰信息科技有限公司 | Equipment management method based on two-dimensional code and RFID technology |
CN105184506A (en) * | 2015-09-28 | 2015-12-23 | 新兴铸管股份有限公司 | Cast pipe quality management method, cast pipe produced by using above method, and two-dimensional barcode tag |
CN105279712A (en) * | 2015-11-11 | 2016-01-27 | 上海朗绿建筑科技有限公司 | Integrated control system and control method of formaldehyde-free decoration |
CN106228251A (en) * | 2016-07-17 | 2016-12-14 | 黑龙江工程学院 | Auto repair part quality traceability system |
CN108241925A (en) * | 2016-12-23 | 2018-07-03 | 重庆邮电大学 | A kind of discrete manufacture mechanical product quality source tracing method based on outlier detection |
US10223783B2 (en) | 2017-01-12 | 2019-03-05 | International Business Machines Corporation | Dot-matrix product information encoding for food traceability |
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CN116308412A (en) * | 2023-01-31 | 2023-06-23 | 宁夏回族自治区食品检测研究院 | Beef product quality safety whole-course tracking and tracing method and system |
CN117422480B (en) * | 2023-12-18 | 2024-03-08 | 山东康源堂药业股份有限公司 | Chinese herbal medicine extraction process tracing method and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102253997A (en) * | 2011-07-08 | 2011-11-23 | 中国科学院上海微系统与信息技术研究所 | Food tracing and inquiry terminal based on internet of things technology |
CN102622692A (en) * | 2012-03-15 | 2012-08-01 | 北京金源茂丰新技术开发有限公司 | Product quality tracing system and method |
CN103020829A (en) * | 2012-12-11 | 2013-04-03 | 华南农业大学 | Spatial visualization revealed two-dimension code food information tracing method |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5478990A (en) * | 1993-10-14 | 1995-12-26 | Coleman Environmental Systems, Inc. | Method for tracking the production history of food products |
CN101178356B (en) * | 2007-12-03 | 2010-11-24 | 中国农业大学 | Ultra-optical spectrum image-forming system and testing methods of meat product tenderness nondestructive testing |
CN101706893A (en) * | 2009-11-25 | 2010-05-12 | 深圳先进技术研究院 | Radio frequency identification based fruit and vegetable supply chain supervision and traceability system |
CN102542341A (en) * | 2010-12-21 | 2012-07-04 | 航天信息股份有限公司 | Safety traceability system and method for small-packaged foods |
CN103310381A (en) * | 2012-03-13 | 2013-09-18 | 深圳市海吉星国际农产品物流管理有限公司 | Method and system for realizing agricultural product safety traceability |
CN103295137A (en) * | 2013-04-11 | 2013-09-11 | 济南润土农业科技有限公司 | Two-dimensional code dynamic anti-fake information intelligent tracing system based on network |
-
2013
- 2013-10-25 CN CN201310514556.8A patent/CN103530808B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102253997A (en) * | 2011-07-08 | 2011-11-23 | 中国科学院上海微系统与信息技术研究所 | Food tracing and inquiry terminal based on internet of things technology |
CN102622692A (en) * | 2012-03-15 | 2012-08-01 | 北京金源茂丰新技术开发有限公司 | Product quality tracing system and method |
CN103020829A (en) * | 2012-12-11 | 2013-04-03 | 华南农业大学 | Spatial visualization revealed two-dimension code food information tracing method |
Non-Patent Citations (1)
Title |
---|
蔬菜质量安全可追溯系统的设计与实现;张兵 等;《食品科学》;20070430;第28卷(第8期);第573-577页 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI816225B (en) * | 2021-11-17 | 2023-09-21 | 嘉藥學校財團法人嘉南藥理大學 | Production history audit method for hot spring products |
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