CN103530808B - Whole-process tracing system for quality safety of fruit logistics - Google Patents

Whole-process tracing system for quality safety of fruit logistics Download PDF

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Publication number
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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subsystem
information
data
tracing
fruit
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CN103530808A (en
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李向宁
许伟伟
宋广友
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Xi'an Ling Ke Information Technology Co Ltd
Xidian University
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Xi'an Ling Ke Information Technology Co Ltd
Xidian University
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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

A kind of whole-process tracing system for quality safety of fruit logistics
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.
CN201310514556.8A 2013-10-25 2013-10-25 Whole-process tracing system for quality safety of fruit logistics Expired - Fee Related CN103530808B (en)

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