CN103530808A - Whole-process tracing system for quality safety of fruit logistics - Google Patents
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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 food security technical field, relate to the system and method that the omnidistance quality safety of a kind of fruit logistics is reviewed.
Background technology
Along with improving constantly of people's quality of life, to the requirement of fruit safety also refinement more, with regard to fruit, how just can buy real green non-pollution fruit, be the problem that consumer is concerned about always.No matter and be at present fruit market, supermarket or retailer, all cannot definitely understand fruit in the concrete condition of the links such as plantation, processing, transportation, sale, cannot meet consumer's right to know and right to choose at all.
J2EE is a set of entirely different in the Technical Architecture of traditional application and development, comprises many assemblies, mainly can simplify and exploitation and the deployment of standard application system, and then improve portable, safety with again by value.
J2EE core is one group of technical manual and guide, the various components that wherein comprised, service architecture and the hierarchy of skill, all there are common standard and specification, allow between the different platform of the various J2EE of following frameworks, there is good compatibility, solving the information products that enterprise backend is used in the past each other cannot be compatible, causes enterprises or the outside awkward situation that is difficult to intercommunication.
J2EE has scalability for building, the business system of dirigibility, ease for maintenance provides good mechanism:
1. retain existing IT assets: because enterprise must adapt to new business demand, utilize the investment of existing enterprise information system aspect, rather than reformulate overall scheme and just become very important.Such server end platform mechanism being based upon on existed system in progressive mode is that company is required.
2. exploitation efficiently: J2EE permission company gives middleware supplier some general, very loaded down with trivial details service end tasks and gone.Developer can concentrate one's energy how, to create on business logic like this, has correspondingly shortened the development time.
3. support that isomerous environment: J2EE can the portable program of development deployment in isomerous environment.Application program based on J2EE does not rely on any specific operation system, middleware, hardware.
4. scalability: a kind of server end platform must be selected by enterprise, and this platform should be able to provide splendid scalability to go to meet the large quantities of new client that those carry out commercial operation in their system.Application program based on J2EE platform can be deployed in various operating system.
5. stable availability: server end platform must round-the-clock running to meet corporate client, affiliate's needs.
RFID (radio-frequency (RF) identification: radio frequency identification) be a kind of contactless automatic identification technology, it is automatically identified destination object and is obtained related data by radiofrequency signal, identification work need not manual intervention, wireless version as bar code, RFID technology has the not available waterproof of bar code, antimagnetic, high temperature resistant, long service life, read that distance is large, on label data can encrypt, store that data capacity is larger, the storage information change advantage such as freely, its application will bring revolutionary variation to industries such as retail, logistics.
RFID(radio frequency identification) basic functional principle of technology uncomplicated: label enters behind magnetic field, receive the radiofrequency signal that plug-in reader sends, the energy that relies on induction current to obtain sends out product information (the Passive Tag being stored in chip, passive label or passive label), or initiatively send the signal (Active Tag, active label or active tag) of a certain frequency; After plug-in reader reading information decoding, deliver to CIS and carry out relevant data processing.A set of complete rfid system, by reader (Reader) and electronic tag (TAG), namely so-called transponder (transponder) and three part institutes of application software system are formed, its principle of work be Reader launch a characteristic frequency radio wave energy to Transponder, in order to drive Transponder circuit, inner data are sent, now Reader just sequentially receives unscrambling data, gives application program and does corresponding processing.
Quick Response Code, the chequered with black and white graphic recording data symbol information that distributes in plane (on two-dimensional directional) according to certain rules with certain specific geometric figure, on coding, utilize dexterously " 0 ", the concept of " 1 " bit stream that forms computer-internal logical foundations, with several geometrical bodies corresponding with scale-of-two, 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 character occupies certain width; There is certain verifying function etc.Also have features such as the information automatic identification function of different rows and processing graphics rotation variations simultaneously.
Electronic tag is the electronic tag that an existing chip being combined into by RFID electronic chip and Quick Response Code has again Quick Response Code.RFID electronic chip and Quick Response Code be combined into the unique electronic tag in the not reproducible whole world, make it not only really false proof, can also trace to its source.
Data mining (Data Mining, DM) claim again Knowledge Discovery (the Knowledge Discover in Database in database, KDD), be the hot issue of current artificial intelligence and database field research, so-called data mining refers to and from the mass data of database, discloses non-trivial process implicit, previous information unknown and that have potential value.Data mining is a kind of decision support processes, it is mainly based on artificial intelligence, machine learning, pattern-recognition, statistics, database, visualization technique etc., analyze the data of enterprise increasingly automatedly, make the reasoning of the property concluded, therefrom excavate potential pattern, aid decision making person adjusts market strategy, reduces risks, and makes correct decision-making.
Data mining is by analyzing each data, finds the technology of its rule from mass data, mainly contains data preparation, rule searching and rule and represents 3 steps.It is from relevant data source, to choose required data and be integrated into the data set for data mining that data are prepared; It is with someway the contained rule of data set being found out that rule is found; Rule represents it is in the intelligible mode of user (as visual), the rule of finding out to be showed as far as possible.
Summary of the invention
The object of this invention is to provide the system and method that the omnidistance quality safety of a kind of fruit logistics is reviewed, utilize database technology network technology and barcode technology, by building the unified platform of reviewing, the agricultural product quality of Erecting and improving is reviewed system, the production safety management of realization to fresh fruit manufacturing enterprise, and provide tracing information to consumer, and for other enterprises, play exemplary role simultaneously, advanced carrying out of fruit quality trouble free service.
Because the fruit production cycle is long mostly, fresh fruit water cut is high, in transporting procedures, easily produce damage.The establishment of its traceability system should have singularity, this system employs internet, RFID(less radio-frequency), the advanced technology such as electronic tag and Quick Response Code, to fruit kind grow, the link such as processing, circulation, sale implements effectively supervision; Thereby and by data mining technology, on affecting fruit quality factor, analyze the quality of fruit predicted, thereby reduce the loss, increase the benefit.
For solving the problems of the technologies described above, technical solution of the present invention is:
An omnidistance quality safety traceability system, comprises tracking of products system and product back-tracing system, tracking of products system and product back-tracing system respectively with review platform database and be connected;
Described tracking of products system comprises and reviews audit supervision subsystem, product quality forecast subsystem and the information acquisition subsystem that platform database is connected, and audit supervision subsystem connects respectively application for registration subsystem and information acquisition subsystem;
Described product back-tracing system comprise respectively with review that platform database is connected review coding subsystem, trace to the source Query Subsystem and information releasing and management subsystem;
Described audit supervision subsystem carries out Back ground Information to the terminal-based information of application for registration subsystem and the collection of information acquisition subsystem respectively examines and supervises, and the information that audit and supervision are passed through is saved to reviews platform database;
In described product quality forecast subsystem, prediction module and model building module and fallout predictor select module to carry out alternately, completing the prediction of product quality, and information of forecasting shows in client;
Described information releasing and management subsystem, completes system update and maintenance, and information is saved to reviews platform database;
The described coding subsystem of reviewing, completes to extract and reviews the data that the Query Subsystem of tracing to the source in platform database needs, and these data are encrypted to formation traceability code, and information is saved to reviews platform database;
The described Query Subsystem of tracing to the source, completes according to the network address providing on label and traceability code and carries out information inquiry to this system, and Query Information is transferred to and reviews platform database.
Further, the Back ground Information that described audit supervision subsystem completes submitting to is examined, and the information of information acquisition subsystem collection is exercised supervision simultaneously, if the information gathering is above standard, carries out early warning.
Further, described information acquisition subsystem obtains the RFID unit of Product Identifying by RFID fetch equipment, the production information of fruit, transit information, inventory information, machining information, finished product information and marketing information are uploaded to and reviewed in platform database.
Further, described product quality forecast subsystem extracts training data source and forms training dataset through data pre-service from database, the fallout predictor of the algorithm based on different is predicted product quality again, and the result of prediction is divided into safe and dangerous two classes.
Further, described data pre-service, by filling in the value of disappearance, smooth noise data, identification or deleting outlier and solve inconsistency and carry out " cleaning " data, reach standardized format, abnormal data removing, error correcting and repeating data and remove target; Data pre-service simultaneously also comprises the discretize to continuous data, if the date is continuous, can be undertaken discrete by dividing different threshold values.
Further, described fallout predictor comprises the fallout predictor of single algorithm predicts device and the combination of many algorithms, and wherein single algorithm predicts device comprises fallout predictor, the fallout predictor based on random tree algorithm and the fallout predictor based on addicted regression algorithm based on neural network algorithm; The fallout predictor of many algorithms combination is by composite pattern, above three kinds of algorithms to be combined and predicted.
Further, the Query Subsystem of tracing to the source described in obtains Product Identifying by Quick Response Code scanner scanning Quick Response Code.
Further, described in review coding subsystem and be encrypted formation traceability code, data encryption is processed and to be comprised that place of production code encryption is processed, date of manufacture code encryption is processed and encrypted and check code encryption.
Described information releasing and management subsystem, completes the synchronous renewal of foreground displaying contents, and the information content is added to database by unified operation interface, needn't revise whole homepage or increase the new page, is also convenient to user's inquiry.Utilize unified information releasing and management subsystem, use, safeguard, manage all based on Web interface, need not professional technique, make the easy maintenance of system to only needing words input and link picture, upload file (comprising the formatted files such as PDF, PPT, EXCEL, WORD, RAR, FLASH), support HTML code typing, visual editing mode etc. simultaneously, on webpage, realize the powerful visual editing function that desktop editing software (as Word) is had.
Can log in the Query Subsystem of tracing to the source as computer or mobile telephone scanning Quick Response Code by multiple terminal, production information, transit information, inventory information, machining information, finished product information and the marketing information of inquiry fruit, realize fruit carried out to omnidistance quality tracing.
With respect to prior art, feature of the present invention is:
(1) the present invention is the traceability system based on oracle relational database and the foundation of J2EE exploitation programming technique, and it has higher availability and extensibility.
(2) the present invention can realize multi-platform reviewing, and consumer can carry out fruit by website, mobile phone, phone, touch-screen scanning end and review.
(3) the present invention has adopted data mining technology, and enterprise can predict safely fruit quality with crossing, and adjusts the links such as production, transportation and reduces the loss, and increases the benefit.
(4) the present invention has higher portability, just be generalized to each enterprise, can promote the security level of fruit, and follow the Ministry of Agriculture, the State General Administration for Quality Supervision general plan about accelerating to advance agricultural product quality and safety can review System Construction.
Accompanying drawing explanation
Fig. 1 is the structural drawing of the omnidistance quality safety traceability system of fruit logistics.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is elaborated.
As shown in Figure 1, the omnidistance quality safety traceability system of fruit logistics, comprises tracking of products system and product back-tracing system, tracking of products system and product back-tracing system respectively with review platform database and be connected; Wherein,
Described tracking of products system comprises and reviews audit supervision subsystem, product quality forecast subsystem and the information acquisition subsystem that platform database is connected, and audit supervision subsystem connects respectively application for registration subsystem and information acquisition subsystem;
Product back-tracing system comprise respectively with review that platform database is connected review coding subsystem, trace to the source Query Subsystem and information releasing and management subsystem.
Wherein, in tracking of products system:
Audit supervision subsystem is examined and is supervised the terminal-based information of application for registration subsystem and the collection of information acquisition subsystem respectively, and the information that audit and supervision are passed through is saved to reviews platform database.
The Back ground Information that audit supervision subsystem completes submitting to is examined, and the information of information acquisition subsystem collection is exercised supervision simultaneously, if the information gathering is above standard, carries out early warning.
Information acquisition subsystem obtains the RFID unit of Product Identifying by RFID fetch equipment, the production information of fruit, transit information, inventory information, machining information, finished product information and marketing information are uploaded to and reviewed in platform database.
Product quality forecast subsystem is set up forecast model according to the basic data of reviewing platform database, from review platform database, extract training data source and form training dataset through data pre-service, on the basis of this model, the fallout predictor of the algorithm based on different is predicted product quality again, the result of prediction is divided into safe and dangerous two classes, and information of forecasting shows in client.
Data pre-service, by filling in the value of disappearance, smooth noise data, identification or deleting outlier and solve inconsistency and clear up data, carries out standardized format, abnormal data removing, error correcting and repeating data and removes; Data pre-service simultaneously also comprises the discretize to continuous data, by dividing different threshold values, carries out the discrete of continuous data.
Fallout predictor comprises the fallout predictor of single algorithm predicts device and the combination of many algorithms, and wherein single algorithm predicts device comprises fallout predictor, the fallout predictor based on random tree algorithm and the fallout predictor based on addicted regression algorithm based on neural network algorithm; The fallout predictor of many algorithms combination is by composite pattern, above three kinds of algorithms to be combined and predicted.
In product back-tracing system:
Information releasing and management subsystem, completes system update and maintenance, and information transfers to and reviews platform database after preserving; Review coding subsystem, complete to extract and review the data that the Query Subsystem of tracing to the source in platform database needs, and these data are encrypted to formation traceability code, information is saved to reviews platform database; The Query Subsystem of tracing to the source, obtains Product Identifying by Quick Response Code scanner scanning Quick Response Code, completes according to the network address providing on label and traceability code and carries out information inquiry to this system, and Query Information is transferred to and reviews platform database.Review coding subsystem and be encrypted formation traceability code, data encryption is processed and is comprised that place of production code encryption is processed, date of manufacture code encryption is processed and encrypted and check code encryption.
J2EE technical system is selected in the omnidistance quality safety traceability system exploitation of fruit logistics, adopt MVC (model-form-control) mode development, by J2EE technology unitary construction on JAVA technology, in order can better to control the variation in Web project and to improve product specialization level, introduce Struts technological frame, and introduced DAO technology (DAO) at Data Persistence Layer.
Concrete implementation step is as follows:
The first step, review platform database design: native system database adopts oracle database, and produce the actual finding of circulation and pass through the analysis to demand according to fruit, determine and create enterprise's Basic Information Table, label generates record sheet, information issue record sheet, review record sheet, fruit verification table, enterprise product information table, product is complained the database tables such as table, these information tables have recorded the place of production information of fruit, manufacturer information, product quality information, intermediate links information etc., realize the unified management of Liao Dui fruit manufacturing enterprise production essential information, form the basic database of tracing management, basis and the core of product back-tracing system.
Second step, overal system design: select J2EE technical system, adopt MVC mode development, in order better to control the variation in Web project, introduce Struts technological frame, and introduced DAO technology (DAO) at Data Persistence Layer.
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 by showing and need filling registration information on the human-computer interaction interface page, these log-on messages comprise the chief crop of production unit title, identified in units code, organization mechanism code, business entity, peasant household and plantation etc., information fill in after click on submission button to complete that then registration shows etc. pending, otherwise can click replacement button, rewrite.
(2) audit supervision subsystem, is mainly used in government department (such as agricultural sector at county level, quality supervised department, the administration for industry and commerce etc.) the production base information of applying for the registration of in Back ground Information application subsystem is examined and supervised.Specifically comprise production base login Account Administration, the audit of base essential information, the audit of base production matter money and crop production condition managing etc.If the Back ground Information that production base signal auditing completes submitting to is examined, enter the account management page of human-computer interaction interface, can carry out the operations such as password modification; Otherwise return to production base application subsystem, and demonstration audit is not passed through.
(3) information acquisition subsystem, mainly uploads onto the server the production information of fruit, transit information, inventory information, machining information, finished product information and marketing information in database.
The operation steps of the concrete links of information acquisition subsystem is as follows:
The first step, production link: use RFID electronic tag storage fruit information in fruit safety in production database, as fruit safe tracing raw data in future.
Second step, transit link: vehicle is allotted to vehicle label, record Bus Schedules and goods information, dispatch a car after coupling freight transportation to enterprise warehouse.
The 3rd step, stock's link: manufacturing enterprise carries out identification record to the goods of sending a car, and require to deposit according to storage.Goods and storage label information are carried out associated, and be recorded to background data base.
The 4th step, processing link: find out the fruit starting material information that will process from database, after the success of recognition storage label information, directly outbound is to workshop.By the identification at production link key point electronic tag, record this batch of machining information that fruit is real-time.
The 5th step, finished product link: pack processing rear fruit, print bar code on inner wrapping, install after electronic tag on large packing case, this packaged information is carried out associated with fruit starting material information.
The 6th step, sales section: the electronic tag on the finished packaging box transporting by identification processing enterprise or the bar code information on finished product, end-retailer upgrades self inventory information, where necessary, can implement to trace back to manufacturing enterprise's information by the information in label.
(4) product quality forecast subsystem, is mainly to set up forecast model according to historical data, on the basis of this model, predicts, concrete implementation step is as follows:
The first step reads training data from data, and these data messages comprise production information, transit information, inventory information, machining information, finished product information and the marketing information of fruit;
Second step, training data pre-service, carries out Data Discretization and data scrubbing reading the training data coming;
The 3rd step, through pretreated data formation training dataset;
The 4th step, clicks the fallout predictor that fallout predictor selects to select single algorithm predicts device and the combination of many algorithms;
The 5th step, click model is set up, according to the fallout predictor generation forecast model of selecting;
The 6th step, the data that will predict in prediction interface input, these data comprise use amount, processing environment, inventory time, haulage time and the temperature etc. of agricultural chemicals, chemical fertilizer, click prediction and just can predict this batch of fruit quality;
The 7th step, if import mass data in database, need to rebuild model, and click model refreshes, and repeats the 6th step and just can on the basis of new model, predict.
2. product back-tracing system:
(1) review coding subsystem, the main vendor code of extracting base agricultural products from database, product code, plucking time, batch code, place of production code etc., by proprietary encryption algorithm, generate the unordered code being formed by 25 arabic numeral, i.e. fruit traceability code.
(2) Query Subsystem of tracing to the source, is mainly used in consumer when having bought the agricultural product that indicate this traceability system network address and traceability code, according to the network address providing on label and traceability code, to this system, inquires about.Query Result comprises base log-on message, base production qualification information, condition of production information, agricultural chemicals service condition information, Fertilizer application situation information, antistaling agent service condition information, detection case information etc., realizes consumer the fruit of buying is carried out to quality tracing.
(3) information releasing and management subsystem, is mainly used in system to need the part of often upgrading upgrade and safeguard, as up-to-date information, the residual information of agriculture etc.By unified operation interface, complete the synchronous renewal of foreground displaying contents, and the information content is added to database, needn't revise whole homepage or increase the new page, be also convenient to user's inquiry.Utilize unified information releasing and management subsystem, use, safeguard, manage all based on Web interface, need not professional technique, make the easy maintenance of system to only needing words input and link picture, upload file (comprising the formatted files such as PDF, PPT, EXCEL, WORD, RAR, FLASH), support HTML code typing, visual editing mode etc. simultaneously, on webpage, realize the powerful visual editing function that desktop editing software (as Word) is had.
Claims (8)
1. the omnidistance quality safety traceability system of fruit logistics, is characterized in that, comprises tracking of products system and product back-tracing system, tracking of products system and product back-tracing system respectively with review platform database and be connected;
Described tracking of products system comprises and reviews audit supervision subsystem, product quality forecast subsystem and the information acquisition subsystem that platform database is connected, and audit supervision subsystem connects respectively application for registration subsystem and information acquisition subsystem;
Described product back-tracing system comprise respectively with review that platform database is connected review coding subsystem, trace to the source Query Subsystem and information releasing and management subsystem;
Described audit supervision subsystem is examined and is supervised the terminal-based information of application for registration subsystem and the collection of information acquisition subsystem respectively, and the information that audit and supervision are passed through is saved to reviews platform database;
In described product quality forecast subsystem, prediction module and model building module and fallout predictor select module to carry out alternately, completing the prediction of product quality, and information of forecasting shows in client;
Described information releasing and management subsystem, completes system update and maintenance, and information is saved to reviews platform database;
The described coding subsystem of reviewing, completes to extract and reviews the data that the Query Subsystem of tracing to the source in platform database needs, and these data are encrypted to formation traceability code, and information is saved to reviews platform database;
The described Query Subsystem of tracing to the source, completes according to the network address providing on label and traceability code and carries out information inquiry to this system, and Query Information is transferred to and reviews platform database.
2. the omnidistance quality safety traceability system of fruit logistics according to claim 1, it is characterized in that, the Back ground Information that described audit supervision subsystem completes submitting to is examined, the information of information acquisition subsystem collection is exercised supervision simultaneously, if the information gathering is above standard, carry out early warning.
3. the omnidistance quality safety traceability system of fruit logistics according to claim 1, it is characterized in that, described information acquisition subsystem obtains the RFID unit of Product Identifying by RFID read-write equipment, the production information of fruit, transit information, inventory information, machining information, finished product information and marketing information are uploaded to and reviewed in platform database.
4. the omnidistance quality safety traceability system of fruit logistics according to claim 1, it is characterized in that, described product quality forecast subsystem extracts training data source and forms training dataset through data pre-service from review platform database, the fallout predictor of the algorithm based on different is predicted product quality again, and the result of prediction is divided into safe and dangerous two classes.
5. the omnidistance quality safety traceability system of fruit logistics according to claim 4, it is characterized in that, described data pre-service, by filling in the value of disappearance, smooth noise data, identification or deleting outlier and solve inconsistency and clear up data, carry out standardized format, abnormal data removing, error correcting and repeating data and remove; Data pre-service simultaneously also comprises the discretize to continuous data, by dividing different threshold values, enters the discrete of continuous data.
6. the omnidistance quality safety traceability system of fruit logistics according to claim 5, it is characterized in that, described fallout predictor comprises the fallout predictor of single algorithm predicts device and the combination of many algorithms, and wherein single algorithm predicts device comprises fallout predictor, the fallout predictor based on random tree algorithm and the fallout predictor based on addicted regression algorithm based on neural network algorithm; The fallout predictor of many algorithms combination is by composite pattern, above three kinds of algorithms to be combined and predicted.
7. the omnidistance quality safety traceability system of fruit logistics according to claim 1, is characterized in that, described in the Query Subsystem of tracing to the source by Quick Response Code scanner scanning Quick Response Code, obtain Product Identifying.
8. the omnidistance quality safety traceability system of fruit logistics according to claim 1, it is characterized in that, the described coding subsystem of reviewing is encrypted formation traceability code, and data encryption is processed and comprised that place of production code encryption is processed, date of manufacture code encryption is processed and encrypted and check code encryption.
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