CN110263952A - A kind of electronic product intelligence recovery system - Google Patents
A kind of electronic product intelligence recovery system Download PDFInfo
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- CN110263952A CN110263952A CN201910557471.5A CN201910557471A CN110263952A CN 110263952 A CN110263952 A CN 110263952A CN 201910557471 A CN201910557471 A CN 201910557471A CN 110263952 A CN110263952 A CN 110263952A
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Abstract
The present invention relates to field of artificial intelligence, disclose a kind of electronic product intelligence recovery system, the system comprises: database module, computing module, system runs module and terminal installation module, the database module includes external resource mould group, system operation mould group, recycle master die group, data acquisition module group, metadata mould group and data processing mould group, the computing module includes recycling grade mould group and system quotation mould group and deep learning mould group, the system operation module includes system operation mould group, application operating mould group and the safe mould group of system, the terminal installation module includes human-computer interaction module, identify acquisition module, article circulation keeping module, the present invention realizes accurately identifying for electronic product, self-service recycling and arm's length pricing, the intelligent whole recovery operation that electronic product is completed from control, improve recycling Service quality and efficiency of operation.
Description
Technical field
The present invention relates to field of artificial intelligence, and in particular to a kind of electronic product intelligence recovery system.
Background technique
With the development of science and technology, the update of electronic product is more and more frequent, substitute the electronic product user choosing abandoned
It is idle without selecting to recycle to select sleeping cabinet, forms the electronic product solid waste pollution " barrier lake " of staggering amount, leaves the ecology that can not be estimated
Environmental hazard hidden danger.Handle the electronic products such as the idle mobile phone abandoned and tablet computer by way of recycling, for protection environment,
Ensure health, maintaining ecological balance and using regenerated resources, develop a circular economy it is particularly important.
The electronic products such as current phone and tablet computer recycling industry situation mainly has online and offline two ways.It is recycled on line
It tests that machine operation is complicated, appraisal process is cumbersome, needs for object to be addressed to recycling quotient designated place and manually test after machine and just pay the bill, not only
Because unit take-back cost is opaque, cannot complete to complete a business transaction in time, it is easy to breed make profit between two parties, bad fraud phenomenon, Er Qiezhan
With fund and time, it is wasted in logistics.It recycles shops address under line to fix, user is inconvenient, recycles still even if trade company visits
User is wanted to undertake high cost;Rubbish work as in stop leakage in the roof change face disk, salvage station recycling of trip quotient's recycling, user's value loss.Regional markets
Quotient is recycled under line, being limited to its information, technology, resource bottleneck leads to high efficiency at low cost, and formation industry recycling valence low amounts is small, with
The status that actual demand seriously disconnects.Conventional industries transition and upgrade, supply side reform and internet+, intelligence+overall situation
Under, electronic product recovery technology urgently information hierarchy.Storage huge electronic product in China's is huge environmental pollution hidden danger, must
It must be decomposed and be eliminated by effective way;It is huge production factors resource, it is necessary to explore effective mechanism and vitalize utilization;It is huge
Industry development chance, it is necessary to innovate effective model value driving.
At present the electronic products such as mobile phone and tablet computer recycling industry technology be concentrated mainly on recycling website, related APP and
In terms of terminal installation, the defect grade of Product recycling determines, recycling price, process services are both needed to the either artificial behaviour of manual work
Make mechanization, speculative and randomness is extremely serious, and recovery value is reasonable, way of recycling is convenient, ensures and uses there has been no being able to achieve
The systemic intellectualized technology scheme of family equity and personal secrets.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of electronic product intelligence recovery system, with solution background technique
The problems in.
The present invention solves technical problem and adopts the following technical scheme that
The present invention provides a kind of electronic product intelligence recovery systems, including database module, computing module, run module
With terminal installation module;
The database module includes recycling category database, data acquisition module group and data processing mould group, for acquiring
Processing system recycles the data of required by electronic product, and carries out classification storage;
The computing module includes recycling objective single mode group, identification calculating mould group, recycling price mould group and deep learning mould group,
It is objective single for being recycled to electronic product generation, it is that guiding carries out the determination of recycling grade, products quotation finally enriches with the objective list of recycling
Objective simple correlation content is recycled, the internal pricing algorithm of defining the level of self feed back optimization is completed at the same time;
The operation module includes system operation mould group, application operating mould group and the safe mould group of system, for providing support
The data transmission of each intermodule is called in the control of entire recovery process, establishes safety verification and controlling terminal equipment operation;
The terminal installation module includes human-computer interaction mould group, identification acquisition mould group, industry control mould group, for being mentioned according to instruction
The data of electronic product to be recycled are acquired and recycled automatically with operation as a result, realizing for user's control entrance, feedback processing.
Compared with prior art, the present invention have it is following the utility model has the advantages that
The present invention passes through the intelligence of artificial intelligence technology, standardization, automation, intensive and ease for operation, transreplication
Property, low-cost advantage, maximally utilize and play the resource value after mobile phone and tablet computer are abandoned and the ecological value, realize recycling
Value rationally, way of recycling it is convenient, user's right guarantee, privacy of user safety function, specification recycling grade separation standard with
Industry operating regulation and pricing system, and pass through the acquisition analysis system stream of people, logistics, Jin Liu, information flow data, support system
Deep learning advanced optimizes and improves recycling service quality and efficiency of operation, improves recycling amount, and it is hidden to decompose electronic waste
Suffer from, vitalize production factors resource, drives ecological circulation economy.
The present invention provides two kinds of electronic product recognition methods, the various shapes of electronic product in practical application are covered substantially
State identifies type, brand, the name of an article, the model, rule of electronic product to be recycled using artificial intelligence technology by category recognition methods
State is guaranteed to keep in good repair in lattice, configuration, color, account number cipher state, string number, electronics three guarantees, is completed by defect recognition methods identification wait return
Receive the appearance quality classification and deformation, screen display, component, function, system deficiency classification of electronic product, comprehensively solve Current electronic
The category and Defect types and its degree of electronic product to be recycled cannot be quickly identified in Product recycling industry and recycling operation
Problem;
The present invention is based on category identification and defect identification define a kind of recycling pricing method, from kind, brand, technology,
The various dimensions such as technique, function, hardware, present deal data calculate unit take-back cost, can not only maximize guarantee user's right, and
It can maximally utilize and play the resource value after electronic product is abandoned and the ecological value, solving current recycling industry cannot be accurate
Determine its recovery value and recycle mode and flow direction, calculate its rationally just and sound unit take-back cost the problem of, solve current
Recycling market, arbitrarily quotation, price deception and wheel and deal due tos, form supply and demand not caused by technology and information asymmetry reason
Freely, wasting of resources loss, the problem that electronic product solid waste pollutes and ecological environment Hidden hazrads are huge;
The present invention uses customized gridding method and filtration method, breaches tradition based on pixel coordinate, the processing of image two-value, figure
As the technical restriction of segmentation and mathematics morphologic detection, it is poor to overcome present image identification technology adaptive performance, once target
Image has the problem of larger incompleteness does not often just reach desired result by stronger noise pollution or target image, enhances steady
Qualitative and universality, considerably reduces development cost and use cost;
This invention simplifies electronic product recovery process and job steps, reduce intermediate link, considerably reduce money
Golden cost of possession, testing cost, removal process affairs cost of labor and logistics cost can help all kinds of main market players to realize benefit
Maximum, efficiency highest, least risk, win-win progress;
Specification of the present invention electronic product recycling category and its category classification method and standard have standardized electronic product defect
Classification and its classification method and standard have standardized electronic product recycling pricing mechanism, have reduced recycling link manual intervention factor,
Electronic product recycling Establishing Market supply and demand can be helped to trust, promote justice of exchange, push supply and demand two smooth;
Compared with the existing technology about the present invention, other substantive distinguishing features outstanding and significant progress are in embodiment part
It is described in further detail.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is a kind of structural schematic diagram of electronic product intelligence recovery system of the invention;
Fig. 2 is the single schematic diagram of recycling visitor of the present embodiment;
Fig. 3 is that category database structure schematic diagram is recycled in the present embodiment;
Fig. 4 is category recognition methods flow diagram in the present embodiment;
Fig. 5 is the defect recognition methods schematic diagram of the present embodiment;
Fig. 6,7,8 are respectively the schematic diagram for the extraction characteristic information that the netting analysis of the present embodiment takes the mobile phone as an example;
Fig. 9 is that state user interface schematic diagram is guaranteed to keep in good repair in the electronic product three guarantees of the present embodiment.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It should be noted that certain titles have been used in specification and claims to censure specific components.It answers
Work as understanding, those of ordinary skill in the art may censure the same component with different names.Present specification and right
In a manner of claim is not using the difference of title as differentiation component, but using the substantial differences of component functionally as area
The criterion of subassembly.As used in present specification and claims "comprising" or " comprising " be an open use
Language should be interpreted that " including but not limited to " or " including but not limited to ".Specific embodiment part is described to be implemented
Example is presently preferred embodiments of the present invention, the range being not intended to limit the invention.
In addition, those skilled in the art will appreciate that, various aspects of the invention can be implemented as system, method or
Computer program product.Therefore, various aspects of the invention can be implemented as the form of software and hardware combining, can unite here
Referred to as circuit, " module " or " system ".In addition, in some embodiments, various aspects of the invention are also implemented as
The form of computer program product in one or more microcontroller readable mediums, comprising micro- in the microcontroller readable medium
The readable program code of controller.
Fig. 1-9 is please referred to, the present embodiment provides a kind of electronic product intelligence recovery systems, including database module, calculating
Module runs module and terminal installation module;
Wherein database module includes recycling category database, data acquisition module group and data processing mould group, for acquiring
Processing system recycles the data of required by electronic product, and carries out classification storage;
Recycling category database is divided according to system operation process, including preset data typing library, category identification member
Database, electronic product identification database and the objective one process database of recycling;
Preset data typing library includes external data acquisition database, operation data input database, manual entry data
Library, sensitive information monitor database;
Objective one process database is recycled to include interim objective single database, recycle objective single database and recycling terminal database;
Wherein electronic product identification database, data needed for recycling according to the vertical subordinate relation of electronic product and identification are indulged
To functional relationship as planning architecture configuration subdata base;
The vertical subordinate relation of electronic product specifically includes the successively electronics categories of subordinate, brand, the name of an article, model, rule
Lattice, configuration and color;
Longitudinal functional relationship of data needed for identification is recycled specifically includes the mutually longitudinal associated row of this kind of electronic product
Industry data, data incomplete, utilize data and pricing data at category data;
Electronics categories include mobile phone, tablet computer, charger baby, wearable equipment, laptop;
Referring to Fig. 3 in the present embodiment with mobile phone as an example, it is described in detail;
Subdata base is configured according to the vertical subordinate relation of electronic product, specially successively according to the subordinate relation of electronic product
Setting recycling category coding and catalogue, framework vertical relation subdata base, classification processing, recording and storage various electronic products
Recycle category coding and its category feature, defect feature and basic information data, for system identification and recycling the product provide according to
According to vertical relation subdata base specifically includes:
Level-one subdata base, the level-one subdata base include electronics categories database, the electronics categories
Database includes mobile phone database, tablet computer database, charger baby database, wearable device database and laptop number
According to library;
It is subordinated to the second level subdata base of electronics categories database, second level subdata base includes brand database, such as
Shown in Fig. 3, millet mobile phone database, Huawei's mobile phone database can be divided into, iPhone database, Samsung mobile phone database,
Oppo mobile phone database etc.;
It is subordinated to the three-level subdata base of brand database, the three-level subdata base includes Brand Operation database, enterprise
Industry information database, technical information database, supply chain database and product database;We are herein with Huawei's data in mobile phone
Continue to configure for library;Subordinate setting different model product unit under product database, and subordinate configuration ales information table,
Product information table, standard picture library, category property data base, defect property data base, wherein the subitem of ales information table include
Issue date, listing date, producer price, Sales Channel, sales policy, market price, sales statistics, old for new service;Product
Information table subitem includes brand classification, product name, product type, product specification, hardware configuration list and software configuration inventory;
Standard picture library subitem includes direct picture, back side image, side image, close up fragmentary, interface image, interface Touch control key feature
With path;Category property data base subitem include individualized feature, brand identity, name of an article feature, model features, specification feature,
Configuration feature, color characteristic;Defect property data base subitem include appearance quality class, shape-change class, display screen class, component lack
Damage class, functional impairment class, system but Sun Lei, vulnerable part invoice price table;
Longitudinal functional relationship of data needed for recycling in the present embodiment according to identification is used as planning architecture configuration subdata base,
The functional relationship of data needed for specially realizing identification according to system and recycle, framework recycle electronic product under category coding item and close
Join longitudinal functional relationship subdata base of information, electronic product under the various recycling category coding items of classification processing, recording and storage
Related information data, be system identification and analysis determine the product recovery value, Land use systems and flow direction, recycling transaction and
Sale matching provides foundation;Longitudinal functional relationship subdata base is subordinated to electronics categories database, specifically includes:
It is subordinated to the second level subdata base of electronics categories database, second level subdata includes category database, defect
Database, utilizes database and pricing data library at sector database;
Category database includes personalized metadata library, brand recognition metadatabase, name of an article identification metadatabase, model knowledge
Other metadatabase, specification identification metadatabase and configuration identification metadatabase;
Data incomplete library includes appearance quality metadatabase, deformation defect metadatabase, screen display defect metadatabase, component
Defect metadatabase, functional impairment metadatabase and system deficiency metadatabase;
Sector database includes industry Zone Information database, market information database, technical resource database, professional standard number
According to library and industrial chain database;
It include orientation supply database, recycling industry database, recycling market database, aftermarket attachment number using database
According to library, regenerated resources database;
Pricing data library includes recycling price metadatabase;
Data acquisition module group collects and records related data according to systemic presupposition and is stored in preset data typing library, including external data
Acquisition unit, operation data typing unit, manual entry unit and sensitive information monitoring unit, collect and record correlation according to systemic presupposition
Data are stored in corresponding external data acquisition database in preset data typing library, operation data input database, artificial respectively
Input database and sensitive information monitor database;
External data acquisition unit presses the functional condition of the external resource mould group, and automatically retrieval collects and records target Internet resources
Data, and data are stored in external data acquisition database respectively;
The operation data typing unit presses the system operation mould group functional condition, automatic acquisition and recording system whole process operation
Data, and data are stored in operation data input database respectively;
The manual entry unit is default by system function, corresponds to demand by manual type typing or supplement input system
Data, and data are stored in manual entry database respectively;
The sensitive information monitoring unit is default by system function, and automatic monitoring or retrieval acquisition target Internet resources are related
The instant sensitive information such as resource supply and demand variation, the market price and its fluctuation, industry major event, product discontinuance, version updating, it is real
When analysis processing and more new database, and data are stored in sensitive information monitor database respectively;
Data processing mould group is default according to system function, according to the system-computed module and the application operating module and
Terminal installation calculates operation demand, is analyzed and processed to the data acquisition module group ephemeral data, generates system metadata branch
System operations are held, to simplify system operations and application operating module and terminal installation calling calculation amount, reduce server space
Occupancy and data transmission period and bandwidth resources occupy, and improve terminal installation mist computing capability and system fast reaction, stablize fortune
Row ability;
The data processing mould group includes type data processing mould group, category data processing mould group, data incomplete processing mould
Group, industry data processing mould group handle mould group using data processing mould group, pricing data;
Type data processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
Electronics categories feature and recognition element are extracted in type classification method, standard and rule, analysis, are stored in corresponding category identification member
Database, automated tos respond to terminal installation recycling operation and system identification calculates mould group and identifies electronics categories coding to be recycled,
It supports system operations and terminal installation mist calculates and application operating;
Category data processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
The category feature and recognition element of electronic product are extracted in category classification method, standard and rule, analysis, are stored in the corresponding category and are compiled
Personalized metadatabase, brand recognition metadatabase, the name of an article identify metadatabase, type identifier metadatabase, specification under code item
It identifies metadatabase, configuration identification metadatabase, automated tos respond to terminal installation recycling operation and system identification calculates the identification of mould group
Electronic product category coding to be recycled, supports system operations and terminal installation mist calculates and application operating;
Data incomplete handles mould group and presets according to system function, and classification storage recycles the electronic product under category coding item
The defect feature and recognition element of electronic product are extracted in defect classification method, standard and rule, analysis, are stored in the corresponding category and are compiled
Code item under appearance quality metadatabase, deformation defect metadatabase, screen display defect metadatabase, component defect metadatabase,
Functional impairment metadatabase, system deficiency metadatabase, automated to respond to terminal installation recycling operation and system identification calculates mould group
The defect classification coding for identifying electronic product to be recycled, supports system operations and terminal installation mist calculates and application operating;
Industry data handles mould group and presets according to system function, and classification storage recycles the electronic product under category coding item
Related information classification method and rule, analysis extract the related information feature of electronic product and assist in identifying element, are stored in the product
Class encodes corresponding category identification metadatabase module and defect under item and identifies metadatabase, and according to systemic presupposition analysis at
The related information data that reason system is collected and recorded calculate mould group for system identification, handle mould group using data processing mould group, pricing data
The recycling category coding and defect classification for identifying electronic product to be recycled encode, determine recycling mode and flow direction, calculate back
It receives price and foundation is provided;
Default according to system function using data processing mould group, classification storage recycles the electronic product under category coding item
Using data classification method and rule, analysis extracts the utility value feature of electronic product and assists in identifying element, is stored in the product
Class encodes corresponding recycling metadatabase under item, and recycles database according to systemic presupposition analysis process system
Data are recycled, determine that recycling mode and flow direction, accounting unit take-back cost provide foundation for system;
Pricing data handles mould group and presets according to system function, and classification storage recycles the electronic product under category coding item
Recovery value classification method and rule, analysis extract the pricing information feature of electronic product and assist in identifying element, are stored in the product
Class encodes corresponding recycling price metadatabase under item, and believes according to the price in systemic presupposition analysis process system database
Data are ceased, unit take-back cost is calculated for system and foundation is provided;
Computing module includes recycling objective single mode group, identification calculating mould group, recycling price mould group and deep learning mould group, is used for
Visitor's list is recycled to electronic product generation, the finally substantial recycling of the determination of recycling grade, products quotation is carried out to be oriented to the objective list of recycling
Objective simple correlation content is completed at the same time the internal pricing algorithm of defining the level of self feed back optimization;
The single processing mould group of recycling visitor is default according to system function, and management terminal equipment and record storage recycling visitor are single, automatic
Terminal installation recycling operation is responded, generates and recycles objective single, the interim visitor's single database of deposit, the objective single database of recycling and recycling respectively
Terminal database, and submit to system to complete recycling operation according to the single preset recording content of recycling visitor and sequence;
It is illustrated in figure 2 the single signal of recycling visitor that an identification content of the present embodiment by taking Huawei's mobile phone as an example completes version
Figure;
Identification calculates mould group according to system command, and the recycling visitor submitted according to the single processing mould group of recycling visitor is single, and retrieval collects
The database purchase associated data passes through the recognition methods of systemic presupposition category and defect classification recognition methods, and identification meter
Calculate the category coding and defect classification coding of the procedure identification electronic product to be recycled;
Recycling price mould group according to system command, sentence by the recycling visitor list and system submitted according to the single processing mould group of recycling visitor
Surely recycling mode and flow direction, recycling grade determine to collect the database purchase associated data as a result, retrieving, and pass through system
Default recycling pricing method and program calculate the unit take-back cost for determining the product;
Deep learning mould group according to system command, to the same category that system completes recycling recycle the image included in objective list and
Major parameter is compared, and retrieval collects relevant information, extracts common feature optimization system metadata and work flow, is
Realization system precisely identifies, refinement levels, rational quotation, and rapid computations, high-efficient homework, stable operation provide foundation.
Operation module includes system operation mould group, application operating mould group and the safe mould group of system, is supported for offer entire
The data transmission of each intermodule is called in the control of recovery process, establishes safety verification and controlling terminal equipment operation;
System runs mould group and runs process according to recycling work flow setting system, sequentially generates various command instruction systems
Modules and its functional unit and mist computing terminal equipment be sequentially completed data acquisition storage and analysis processing, identification calculate and
Deep learning, information feedback, operation operation, and default, the modification management by system background administration interface progress system function, with
And system manager role and permission are preset, modify management and system data typing and parameter setting, modification management;
Application operating mould group system operation process according to as defined in system operation mould group is default, and setting terminal is equipped back
It is incorporated as industry to flow and functionality, sequentially generates various task instructions, system command key or document frame, message box, filled by terminal
Standby interactive interface is for user's typing, supplement, modification, cancellation, confirmation operation;
The safe mould group of system sets security management processes, plan and security incident prediction scheme according to system demand for security and is
System security procedure, establishes firewall, by means such as certification, encryption, monitoring, trackings, provides file encryption to system, identity is recognized
Card, secure accessing, using the comprehensive security protection such as protection, access control, by digital certificate to service server, data
The independent security deployment of the carry out such as library server, archive server and log server, unified management;
Terminal installation module includes human-computer interaction mould group, identification acquisition mould group, industry control mould group, for providing use according to instruction
Family control entrance, feedback processing acquire the data of electronic product to be recycled and recycle operation automatically as a result, realizing:
Human-computer interaction mould group system operation process according to as defined in system operation mould group, the application operating mould group is pre-
If setting terminal equips interactive interface and function and function is realized;
Identification acquisition mould group is provided according to the data acquisition module group, system operation mould group, the application operating mould group
System operation process it is default, setting terminal equips the image for successively acquiring electronic product to be recycled, reads data;
Industry control mould group, group is according to as defined in the data acquisition module group, system operation mould group, the application operating mould group
System runs process and presets, and setting terminal equipment completes successively recycling operation automatically.
Referring to figure 4., a kind of 6,7,8 these electronic products of category recognition methods provided in this embodiment can be mobile phone,
Other any electronic equipments for having recovery value such as computer, a kind of electronic product category recognition methods, comprising the following steps:
Setting recycling product classification standard and rule, according to type, brand, the name of an article, model, specification, configuration, color it is vertical
Subordinate relation formulates electronic product recovery article class catalogue and category identification coding, presets recycling category database;
Typing by custom built forms crawler software and desk checking typing or manually is acquired, acquires and update the product in real time
Category identification encodes the related information of electronic product under item in class database;The related information includes:
Basic information;
Auxiliary information;
Circulation information;
Standard picture;
Wherein basic information includes: that type, brand, the name of an article, model, specification, configuration, color, the system of electronic product are soft
Part information and version;
Wherein auxiliary information includes: the brand operator of electronic product, core group parts suppliers, manufacturer, retailer
Information, Electronic Product Core skill are disclosed with main Sales Channel and value chain enterprise industrial and commercial registration information and its material items
Art, main process technology of production and its processing procedure information;
Wherein circulation information include: issue date of electronic product, producer price, the list marketing date, Sales Channel and
Selling price, sales volume, software change version, hardware bill of materials and halt production stop pin date information;
Wherein standard picture include: electronic product direct picture and back side image, side elevational view picture, keypoint part it is micro-
Image, one or more designated user's interface images;
It extracts and corresponds to electronic product recognition element and differentiation feature under the category catalogue and coding item, form category and know
Other metadata presets category and identifies metadatabase;
Recognition element and differentiation feature in the present embodiment extract electronics by using netting analysis and filtration method and produce
Product standard picture obtains, and specifically includes:
Extract the recognition element stored in the standard picture between the electronic product and other variety classes electronic products
With differentiation feature;
Extract the knowledge stored in the standard picture between the electronic product and its same type but different brands electronic product
Other element and differentiation feature;
Extract store recognition element in the standard picture between the electronic product and its same brand but the different names of an article and
Differentiation feature;
Extract the identification member stored in the standard picture between the electronic product and its same brand, the name of an article but different model
Element and differentiation feature;
It extracts and stores in the standard picture between the electronic product and its same brand, the name of an article, model but different size
Recognition element and differentiation feature;
It extracts and stores the electronic product and its same brand, the name of an article, model and specification in the standard picture, but different configurations
Recognition element and differentiation feature between product;
The recognition element and differentiation feature include:
The surface shape and color of electronic product;
Electronic product brand pattern and character;
The layer of structure and color of electronic product enclosure and frame and component;
Functional unit and interactive interface UI design of the electronic product including camera, flash lamp, loudspeaker, key
Feature, list style, icon and text position and body coordinate, geometrical relationship;
Netting analysis method in the present embodiment specifically includes:
The transparent four-quadrant coordinate grid of preset calibrations coordinate origin and x-axis, y-axis and its graduated scale is standard detection seat
Mark;
Standard image metadata library under category identification coding item is preset, record storage extracts institute using standard detection coordinate
State all kinds of standard image datas of the electronic product under category identification coding item;
The extraction standard image data includes:
Standard detection coordinate is overlayed to the surface of electronic product standard picture under the category identification coding item, coordinate is former
Point is overlapped with the central point for selecting feature in the standard picture, and x-axis is parallel with top margin, y-axis is vertical, and passes through product material standard
Size demarcates the size of coordinate graduated scale in proportion;
Fuselage specification, the display screen specification, casing in the standard picture are extracted by standard detection coordinate
With the different function such as the geometry and size, brand picture and text shape and size and camera, flash lamp, loudspeaker of frame
The geometry and size and keypoint part microscopic features of component and different key, and demarcate its spatial position coordinate and phase
Geometrical relationship between mutually, and the data inputting category is identified into standard image metadata library under coding item;
The designated user interface UI design feature, list style, icon and text are extracted by standard detection coordinate
Body characteristics demarcate its spatial position coordinate and its mutual geometrical relationship, and the data inputting category are identified and is encoded
Standard image metadata library under;
The multiple designated user interfaces of electronic product under the category identification coding item are extracted by standard detection coordinate to enter
The identification feature and coordinate position of key, and access path is recorded according to different user interface set membership, and by data inputting
Standard image metadata library under category identification coding item;
The standard surface color of electronic product, mark under the category identification coding item are acquired using filtration method in the present embodiment
Quasi- glossiness and standard roughness, and the data inputting category is identified into standard image metadata library under coding item;
In the present embodiment also analysis processing electronic product include type, brand, the name of an article, model, specification, configuration knowledge
The characteristic feature of other element and differentiation feature forms the category catalogue and encodes the individualized feature metadata under item, and deposits
Enter corresponding category identification metadatabase.
The individualized feature metadata and corresponding recognition element and differentiation feature are also analyzed in the present embodiment, respectively
Make category identification template, brand recognition template, name of an article recognition template, the type identifier template, specification of the category electronic product
Recognition template and configuration recognition template, and it is stored in corresponding category identification metadatabase.
Also analysis handles the preceding individualized feature metadata and corresponding recognition element in the present embodiment and differentiation is special
Sign, corresponding standard picture make the front recognition template, back side recognition template and specified interaction circle of the category electronic product respectively
Face recognition template, and it is stored in corresponding category identification metadatabase.
Acquire electronic product characteristic information to be identified, compare category database and category identifies metadatabase, determine described in
The category of electronic product to be identified and corresponding coding, specifically include:
Electronic product characteristic information to be identified is acquired, category database is compared and category identifies metadatabase, specifically include:
Acquire direct picture, back side image or the specified interactive interface image of electronic product to be identified;
Respectively by the direct picture of the electronic product to be identified, back side image or specified interactive interface image and corresponding identification
Template is compared and is mutually authenticated, and identifies that its category encodes, obtains electronic product all information to be identified.
It wherein compares and is mutually authenticated and specifically include:
If the direct picture of electronic product to be identified, back side image and specified interactive interface image pass sequentially through its personalization
Recognition template can accurately identify its category coding, then be automatically performed identification, store information;
Otherwise corresponding identification successively is called according to the relation on attributes of the product category, brand, the name of an article, model, specification, configuration
Template is identified: if its recognition template can accurately identify its category coding, being automatically performed identification, is stored information, otherwise mention
It takes the identical feature of each step to be mutually authenticated, identifies that its category encodes, store information;
In comparing and being mutually authenticated, through whole contrast contings:
Identification is unable to template and corresponds to configuration, specification, model, successively determines that it is affiliated specification, model, name of an article correspondence
Category encodes the minimalist configuration type under item;
Identification is unable to template and corresponds to the name of an article, is determined as that the brand corresponds to brand gradeless and uniformly-priced goods machine under category coding item;
Identification is unable to template and corresponds to brand, and identification decision is gradeless and uniformly-priced goods machine of inferior brand;
Identification is unable to template and corresponds to type, is determined as solid waste machine;
Wherein the direct picture of standard picture and electronic product to be identified, back side image and specified interactive interface image are adopted
Interference is reduced with the method for including plus setting coordinate grid and optical filtering color filter plate and image noise reduction or adjusting gray value, improves category
Discrimination.
The image that identification is completed under all category catalogues and coding item is compared in the present embodiment, according to identification
The recognition template and identified image called in process calculates separately recognition success rate, extracts crucial common feature, Statistical error
Template.
Referring to figure 5., 6,7,8, the present embodiment provides a kind of defect recognition methods, by extracting electronic product to be recycled
The off-note for encoding the standard picture of electronic product under item in image information with the described category, identifies its various defect class
Not, and accordingly determine its recovery value and its recycle mode and flow direction;
The defect recognition methods implementation steps are as follows:
Category catalogue and coding are formulated, defect category database is preset;It can be taken in the present embodiment and category identification side
Category catalogue and category identification coding is arranged in the identical mode of method, so that electronic product under the category identification coding item be arranged
Defect identification database and defect identify metadatabase;
Defect classification includes appearance quality classification, deformation defect classification, screen under category identification coding item under the present embodiment
Aobvious defect classification, component defect classification, functional impairment classification and system deficiency classification;
Formulate the appearance quality classification, deformation defect classification, screen display defect classification, component defect classification, functional impairment
The classification standard of classification and system deficiency classification and rule and its defect coding are correspondingly arranged electricity under the category identification coding item
The defect categorization metadata library of sub- product;
Appearance quality classification in the present embodiment is divided into 6 grades according to newness degree, wherein the 6th grade is shape breakage classification, is
Refer to the electronic product because machine angle caused by the external force such as falling, colliding is damaged, frame is damaged, display screen is damaged, bottom cover top is damaged, bottom
The disfigurements such as lid lower part breakage;Its appearance quality classification subclass coding is preset, and outer according to its grade scale and rule mark
It sees quality and identifies metadata typing defect categorization metadata library;
Wherein deformation defect classification is divided into beautiful machine, little Hua, great Hua, cracking, outer quick-fried, implosion, overhauls the subclass such as machine, presets
Its defect classification subclass coding, and according to its classification standard and rule mark deformation defect identification metadata typing defect classification member
Database;
Wherein screen display defect classification is divided into the subclass such as screen film, platen bracket, external screen, touch control layer, liquid crystal layer, backlight, in advance
If its screen display defect subclass encodes, and identifies metadata typing defect classification according to its classification standard and rule mark screen display defect
Metadatabase;
Wherein component defect classification is divided into the subclass such as charging assembly, camera, mainboard, flash lamp, key, presets its group
Part defect subclass coding, and metadata typing defect categorization metadata is identified according to its classification standard and regular annotation component defect
Library;
Wherein functional impairment classification is divided into network, WIFI, call, bluetooth, NFC, waves, the subclass such as other function, in advance
If its functional impairment subclass encodes, and identifies metadata typing defect classification according to its classification standard and regular marking Function defect
Metadatabase;
Wherein system deficiency classification is divided into that version is too low, system Caton, be restarted automatically, the damage of automatic shutdown, function, system
The subclass such as crash, cannot be switched on, and presets its system deficiency coding, and according to its classification standard and regular labeling system defect
Identify metadata typing defect categorization metadata library;
Analyze that the defect feature and its defect of electronic product under same category identification coding item formed in the present embodiment because
Fruit relationship, extracts the logical order of common feature and defect formation, and mark appearance quality, deformation defect, screen display defect, component lack
Damage, functional impairment and system deficiency recognition template, typing defect categorization metadata library;
Recognition methods is selected according to electronic product situation to be identified, acquires electronic product characteristic information to be identified, compares and lacks
It damages category database and defect identifies metadatabase, determine the category of the electronic product to be identified and correspond to coding;In this reality
Apply direct picture, back side image, side elevational view picture and the designated user for specifically including in example and calling the electronic product to be identified
Interface image;
Using the standard detection coordinate, direct picture, back side image, the side elevation of the electronic product to be recycled are extracted
The geometry and ruler of image and designated user's interface image middle fuselage specification, display screen specification, casing and frame
The geometry and size of very little, brand picture and text shape and size and camera, flash lamp, loudspeaker, different key, and mark
Its fixed spatial position coordinate and mutual geometrical relationship, and typing defect identification database;
And extract position and the body spy of the designated user interface UI design feature, list style, icon and text
Sign, demarcates its spatial position coordinate and its mutual geometrical relationship, and typing defect identification database;
And color, surface gloss, the surface roughness of the acquisition electronic product to be recycled, and typing defect identifies
Database;
By the data in defect identification database described in typing and the standard picture number in the standard picture metadatabase
According to contrast conting, extracts abnormal data and do not demarcate feature;
If not extracting abnormal data through above-mentioned contrast conting and not demarcating feature, then determine that the electronics to be recycled produces
Product are new machine, and by recognition result typing defect identification database;
If extracting abnormal data through above-mentioned contrast conting and not demarcating feature, then successively known using the appearance quality
Other template, deformation defect recognition template, screen display defect recognition template, component defect recognition template, functional impairment recognition template and
Calculating identification is compared in system deficiency recognition template, and recognition result is distinguished typing defect identification database;
The data that defect identification is completed under coding item, which are compared, to be identified to all categories in the present embodiment, respectively
All kinds of defect recognition template recognition success rates are calculated, causality and its logic for extracting crucial common feature and defect formation are suitable
Sequence advanced optimizes defect recognition methods and identification step, improves defect recognition accuracy.
Recognition methods in the present embodiment includes: interface method of identification, shape method of identification;
The interface method of identification is suitable for be switched on and the electricity to be identified of interactive interface energy part display device system information
Sub- product;Specifically includes the following steps:
The facility information interactive interface standard photographs of the various category electronic products of systemic presupposition;
Brand, model, specification, string number and related text and figure, color, frame shape, camera shooting are extracted using gridding method
Key difference feature between head, flash lamp, loudspeaker, key etc. and same brand different size type product;
The facility information interactive interface photo of terminal installation scanning or shooting setting illumination and focal length;
System reads related text content using OCR technique identification;
Pass through pre-set programs contrast conting key difference feature;
Identify brand, model, specification, string number and related text and figure, color, frame shape, camera, flash lamp,
Loudspeaker, key etc. and same brand different size type product;
The shape method of identification is suitable for that interactive interface is unable to sesolution apparatus system information and cannot be switched on but shell energy
The electronic product to be identified of sesolution apparatus system information, specifically includes the following steps:
The front and back standard photographs of the various category electronic products of systemic presupposition;
Brand, model, specification, string number and related text and figure, color, frame shape, camera shooting are extracted using gridding method
Key difference feature between head, flash lamp, loudspeaker, key etc. and same brand different size type product;
The obverse and reverse photo of terminal installation scanning or shooting setting illumination and focal length;
System passes through pre-set programs contrast conting key difference feature;
Identify brand, model, specification, string number and related text and figure, color, frame shape, camera, flash lamp,
Loudspeaker, key etc. and same brand different size type product;
Defect recognition methods in the present embodiment further includes recycling grade identification decision step, for identification electronics to be identified
The various defect features of product, and determine that it recycles grade accordingly, specifically includes the following steps:
Screen display defect, component defect, functional impairment, shape defect and the appearance of the various category electronic products of systemic presupposition at
Feature, type and the grade of color;
Grade is recycled according to logical relation, the syntagmatic setting system between various defect features, type and grade;
Analyze various defect features in the different photos for extracting aforementioned electronic product to be identified respectively using gridding method;
System distinguishes the type and rank of the contrast conting defect by pre-set programs;
System determines recycling grade.
A kind of electronic product recovery method provided in this embodiment, for calculating the recycling etc. for determining electronic product to be recycled
Grade and unit take-back cost, specifically includes the following steps:
Referring to figure 4., 5,6,7,8 according to the category catalogue and coding in the category database, presets:
Different brands, model, specification electronic product unit take-back cost be X;
Recycling price radix is W;
Products-hardware cost is K, and hardware allowance for depreciation is k;
Additional value share ratio is P, and brand value preserving rate is p;
Technical value added share ratio is R, and technology value preserving rate is r;
Technique added value share ratio is M, and technique value preserving rate is m;
Function added value share ratio is Q, and function value preserving rate is q;
It is Z that defect, which restores valence/resetting valence,;
Processing cost is Y, wherein tearing machine cost y open1, environmental protection treatment cost y2, account number cipher release expense y3;
It recycles service process cost and expense is L;
Using losing coefficient t;
Reclaiming benefit rate i%;
Wherein:
Recycling price radix W in the present embodiment, encodes the newest producer price of electronic product or market under item using the category
Sale price subduction industry is averaged Sales Channel expense as radix;
Products-hardware cost K in the present embodiment encodes electronic product configuration list and zero newest under item using the category
The part market price is calculated;
Products-hardware allowance for depreciation k in the present embodiment contrasts general electronic products service life, counts according to yearly depreciation 20%
It calculates;
Additional value share P in the present embodiment is set according to trade brand ranking, product market share and related public sentiment
It is fixed, a generally default line brand Additional value share 40%, subsidiary brand 25%, three line brands 10%;According to market conditions
It is added and subtracted with deep statistical data weighting;
Brand value preserving rate p% in the present embodiment, a generally default line brand year value preserving rate 90%, subsidiary brand 75%, three
Line brand 50%;It is added and subtracted according to market conditions and deep statistical data weighting;
Technical value added share R in the present embodiment sets mark, research and development ability and related public sentiment according to similar product technology
It is fixed, generally default head enterprise technology added value share 20%, two class enterprises 15%, three classes enterprise 10%;According to market conditions
It is added and subtracted with deep statistical data weighting;
Technology value preserving rate r% in the present embodiment, generally default head enterprise technology year value preserving rate 80%, two class enterprises
70%, three classes enterprise 60%;It is added and subtracted according to market conditions and deep statistical data weighting;
Technique added value share M in the present embodiment sets mark, equipment technology and related public sentiment according to similar product technique
It is fixed, generally default head enterprise technique added value share 20%, two class enterprises 25%, three classes enterprise 30%;According to market conditions
It is added and subtracted with deep statistical data weighting;
Technique value preserving rate m% in the present embodiment, generally default head enterprise technique year value preserving rate 75%, two class enterprises
60%, three classes enterprise 50%;It is added and subtracted according to market conditions and deep statistical data weighting;
Function added value share Q in the present embodiment, compares according to similar product function and associated user comments on public sentiment setting,
Generally default head enterprise feature added value value share 20%, two class enterprises 35%, three classes enterprise 50%;According to market conditions and
Deep statistical data weighting plus-minus;
Function value preserving rate q% in the present embodiment, generally default head enterprise feature year value preserving rate 80%, two class enterprises
70%, three classes enterprise 60%;It is added and subtracted according to market conditions and deep statistical data weighting;
In the present embodiment defect restore valence/resetting valence Z, according to deformation defect, component defect, functional impairment detection project and
Component repair information data analysis result statistics;
Cost of disposal Y includes: y in the present embodiment1To tear machine cost open;y2Cost is released for account number cipher, according to recycling product
User account and password release complexity setting;y3For environmental protection treatment cost;Cost of disposal according to recycle mode and
Choice of flow direction, y1And y2It can add up, y3With the former not accumulation calculating;
Removal process cost of serving and expense L, equipment artificial according to removal process and logistics Expenses Cost are calculated;
Reclaiming benefit rate i% is set according to the occupied fund time value and industry average rate of profit;
Coefficient t is lost using the time, according to appearance quality classification and grade, is set according to the guarantee period of identification;
According to aforementioned recovery article class catalogue and category identification coding, electronic product under the category identification coding item is set
Recycle pricing data library;
Acquisition Product recycling trade information data, recycling quotation information data, component repair information data and regeneration in real time
Resource information data, and related public sentiment data, pricing data library is recycled in deposit respectively;
Product in product user interface image is extracted using standard detection coordinate and/or OCR recognition methods as shown in Figure 9
MEID code, electronic product three guarantees guarantee state, user account and cryptographic state, system update version information etc. influence unit take-back cost
Information data, respectively deposit recycling pricing data library;
Call under the category identification coding item basic information, auxiliary information, stream communication in the related information of electronic product
Breath, calculating its recycling price radix is Wn, products-hardware cost Kn, hardware allowance for depreciation kn, Additional value share ratio Pn, product
Board value preserving rate pn, technical value added share ratio Rn, technology value preserving rate rn, technique added value share ratio Mn, technique value preserving rate mn、
Function added value share ratio Qn, function value preserving rate qn, pricing data library is recycled in deposit respectively;
The defect categorical data for calling electronic product under the category identification coding item, according to defect class small pin for the case encoding statistics
Its described defect restores valence/resetting valence Zn, processing cost YnAnd its tear machine cost y open1n, environmental protection treatment cost y2n, account number cipher solution
Except expense y3n;
It identifies that the related information of electronic product and defect identify data under coding item according to the category, determines its recycling benefit
With mode and flow direction, calculates its service process cost and expense is Ln, using losing coefficient tn, Reclaiming benefit rate in%;
Bring formula into:
Xn={ Kn×(1-kn)+(Wn-Kn)×(Pn×pn+Rn×rn+Mn×mn+Qn×qn)×tn-Zn-Yn-Ln}×(1-
in)
Recycling valence X is estimated up to electronic product to be recycledn。
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (15)
1. a kind of electronic product intelligence recovery system, which is characterized in that including database module, computing module, run module and
Terminal installation module;
The database module includes recycling category database, data acquisition module group and data processing mould group, is used for acquisition process
System recycles the data of required by electronic product, and carries out classification storage;
The computing module includes recycling objective single mode group, identification calculating mould group, recycling price mould group and deep learning mould group, is used for
Visitor's list is recycled to electronic product generation, the finally substantial recycling of the determination of recycling grade, products quotation is carried out to be oriented to the objective list of recycling
Objective simple correlation content is completed at the same time the internal pricing algorithm of defining the level of self feed back optimization;
The operation module includes system operation mould group, application operating mould group and the safe mould group of system, is supported entirely for providing
The data transmission of each intermodule is called in the control of recovery process, establishes safety verification and controlling terminal equipment operation;
The terminal installation module includes human-computer interaction mould group, identification acquisition mould group, industry control mould group, for providing use according to instruction
Family control entrance, feedback processing acquire the data of electronic product and recycle automatically operation as a result, realizing.
2. a kind of electronic product intelligence recovery system according to claim 1, which is characterized in that the recycling category data
Library is configured according to system operation process, including preset data typing library, category identification metadatabase, electronic product identification number
According to library and recycle objective one process database;
Preset data typing library includes external data acquisition database, operation data input database, manual entry data
Library, sensitive information monitor database;
The objective one process database of the recycling includes interim objective single database, recycles objective single database and recycling terminal database.
3. a kind of electronic product intelligence recovery system according to claim 2, which is characterized in that the electronic product identification
Longitudinal functional relationship of database, data needed for recycling according to the vertical subordinate relation of electronic product and identification is matched as planning framework
Set subdata base;
The vertical subordinate relation of the electronic product, specifically includes the successively electronics categories of subordinate, brand, the name of an article, model, rule
Lattice, configuration and color;
Longitudinal functional relationship of data needed for the identification is recycled specifically includes the mutually longitudinal associated row of this kind of electronic product
Industry data, data incomplete, utilize data and pricing data at category data;
The electronics categories include mobile phone, tablet computer, charger baby, wearable equipment, laptop.
4. a kind of electronic product intelligence recovery system according to claim 3, which is characterized in that described according to electronic product
Vertical subordinate relation configures subdata base, specially sets gradually recycling category coding and mesh according to the subordinate relation of electronic product
Record, framework vertical relation subdata base, classification processing, the recycling category of recording and storage various electronic products coding and its category
Feature, defect feature and basic information data provide foundation for system identification and recycling, and the vertical relation subdata base is specific
Include:
Level-one subdata base, the level-one subdata base include electronics categories database, the electronics categories data
Library includes mobile phone database, tablet computer database, charger baby database, wearable device database and laptop data
Library;
It is subordinated to the second level subdata base of electronics categories database, the second level subdata base includes brand database;
It is subordinated to the three-level subdata base of brand database, the three-level subdata base includes Brand Operation database, enterprise's letter
Cease database, technical information database, supply chain database and product database.
5. a kind of electronic product intelligence recovery system according to claim 4, which is characterized in that described to be recycled according to identification
Longitudinal functional relationship of required data specially realizes identification and recycling institute according to system as planning architecture configuration subdata base
The functional relationship of data is needed, framework recycles longitudinal functional relationship subdata base of electronic product related information under category coding item,
The related information data of electronic product under the various recycling category coding items of classification processing, recording and storage are system identification and are divided
Analysis determines that recovery value, Land use systems and the flow direction of the electronic product, recycling transaction and sale matching provide foundation;The longitudinal direction
Functional relationship subdata base is subordinated to electronics categories database, specifically includes:
It is subordinated to the second level subdata base of electronics categories database, the second level subdata includes category database, defect
Database, utilizes database and pricing data library at sector database;
The category database includes personalized metadata library, brand recognition metadatabase, name of an article identification metadatabase, model knowledge
Other metadatabase, specification identification metadatabase and configuration identification metadatabase;
The data incomplete library includes appearance quality metadatabase, deformation defect metadatabase, screen display defect metadatabase, component
Defect metadatabase, functional impairment metadatabase and system deficiency metadatabase;
The sector database includes industry Zone Information database, market information database, technical resource database, professional standard number
According to library and industrial chain database;
It is described to include orientation supply database, recycling industry database, recycling market database, aftermarket attachment number using database
According to library, regenerated resources database;
The pricing data library includes recycling price metadatabase.
6. a kind of electronic product intelligence recovery system according to claim 2, which is characterized in that the data acquisition module group
Related data is collected and recorded according to systemic presupposition and is stored in preset data typing library, including the record of external data acquisition unit, operation data
Enter unit, manual entry unit and sensitive information monitoring unit, collects and records related data according to systemic presupposition, be stored in present count respectively
According to external data acquisition database corresponding in typing library, operation data input database, manual entry database and sensitive letter
Cease monitor database;
The external data acquisition unit presses the functional condition of the external resource mould group, and automatically retrieval collects and records target Internet resources
Data, and data are stored in external data acquisition database respectively;
The operation data typing unit presses the system operation mould group functional condition, and automatic acquisition and recording system whole process runs number
According to, and data are stored in operation data input database respectively;
The manual entry unit is default by system function, and the number of demand is corresponded to by manual type typing or supplement input system
According to, and data are stored in manual entry database respectively;
The sensitive information monitoring unit is default by system function, automatic monitoring or retrieval acquisition target Internet resources related resource
The instant sensitive information such as supply and demand variation, the market price and its fluctuation, industry major event, product discontinuance, version updating divides in real time
Analysis processing and more new database, and data are stored in sensitive information monitor database respectively.
7. a kind of electronic product intelligence recovery system according to claim 5, which is characterized in that the data processing mould group
It is default according to system function, operation need are calculated according to the system-computed module and the application operating module and terminal installation
It asks, the data acquisition module group ephemeral data is analyzed and processed, generate system metadata and support system operations;
The data processing mould group includes type data processing mould group, category data processing mould group, data incomplete processing mould group, row
Industry data processing mould group handles mould group using data processing mould group, pricing data.
8. a kind of electronic product intelligence recovery system according to claim 7, which is characterized in that the type data processing
Mould group is default according to system function, classification storage recycle under category coding item the type classification method, standard of the electronic product and
Electronics categories feature and recognition element are extracted in rule, analysis, are stored in corresponding category identification metadatabase, automated to respond to terminal
Equipment recycling operation and system identification calculate mould group and identify electronics categories coding to be recycled, support system operations and terminal dress
Standby mist calculates and application operating;
The category data processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
The category feature and recognition element of electronic product are extracted in category classification method, standard and rule, analysis, are stored in the corresponding category and are compiled
Personalized metadatabase, brand recognition metadatabase, the name of an article identify metadatabase, type identifier metadatabase, specification under code item
It identifies metadatabase, configuration identification metadatabase, automated tos respond to terminal installation recycling operation and system identification calculates the identification of mould group
Electronic product category coding to be recycled, supports system operations and terminal installation mist calculates and application operating;
The data incomplete processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
The defect feature and recognition element of electronic product are extracted in defect classification method, standard and rule, analysis, are stored in the corresponding category and are compiled
Code item under appearance quality metadatabase, deformation defect metadatabase, screen display defect metadatabase, component defect metadatabase,
Functional impairment metadatabase, system deficiency metadatabase, automated to respond to terminal installation recycling operation and system identification calculates mould group
The defect classification coding for identifying electronic product to be recycled, supports system operations and terminal installation mist calculates and application operating;
The industry data processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
Related information classification method and rule, analysis extract the related information feature of electronic product and assist in identifying element, are stored in the product
Class encodes corresponding category identification metadatabase module and defect under item and identifies metadatabase, and according to systemic presupposition analysis at
The related information data that reason system is collected and recorded calculate mould group for system identification, handle mould group using data processing mould group, pricing data
The recycling category coding and defect classification for identifying electronic product to be recycled encode, determine recycling mode and flow direction, calculate back
It receives price and foundation is provided;
Described default according to system function using data processing mould group, classification storage recycles the electronic product under category coding item
Using data classification method and rule, analysis extracts the utility value feature of electronic product and assists in identifying element, is stored in the product
Class encodes corresponding recycling metadatabase under item, and recycles database according to systemic presupposition analysis process system
Data are recycled, determine that recycling mode and flow direction, accounting unit take-back cost provide foundation for system;
The pricing data processing mould group is default according to system function, and classification storage recycles the electronic product under category coding item
Recovery value classification method and rule, analysis extract the pricing information feature of electronic product and assist in identifying element, are stored in the product
Class encodes corresponding recycling price metadatabase under item, and believes according to the price in systemic presupposition analysis process system database
Data are ceased, unit take-back cost is calculated for system and foundation is provided.
9. a kind of electronic product intelligence recovery system according to claim 7, which is characterized in that the single processing of recycling visitor
Mould group is default according to system function, management terminal equipment and record storage recycling visitor are single, automated to respond to terminal installation recycling operation,
It is single to generate recycling visitor, is stored in interim objective single database respectively, recycles objective single database and recycle terminal database, and according to recycling
Objective list preset recording content and sequence submit to system to complete recycling operation.
10. a kind of electronic product intelligence recovery system according to claim 9, which is characterized in that the identification calculates mould
For group according to system command, the recycling visitor submitted according to the single processing mould group of recycling visitor is single, and retrieval collects the database purchase association
Data identify that the electronics produces by the recognition methods of systemic presupposition category and defect classification recognition methods, and identification calculation procedure
The category coding and defect classification coding of product;
The recycling price mould group according to system command, sentence by the recycling visitor list and system submitted according to the single processing mould group of recycling visitor
Surely recycling mode and flow direction, recycling grade determine to collect the database purchase associated data as a result, retrieving, and pass through system
Default recycling pricing method and program calculate the unit take-back cost for determining the electronic product;
The deep learning mould group according to system command, to the same category that system completes recycling recycle the image included in objective list and
Major parameter is compared, and retrieval collects relevant information, extracts common feature optimization system metadata and work flow, is
Realization system precisely identifies, refinement levels, rational quotation, and rapid computations, high-efficient homework, stable operation provide foundation.
11. a kind of electronic product intelligence recovery system according to claim 10, which is characterized in that the system runs mould
Group runs process according to recycling work flow setting system, sequentially generates various command instruction system modules and its function list
Member and mist computing terminal equipment be sequentially completed data acquisition storage and analysis processing, identification calculate and deep learning, information feedback,
Operation is run, and default system function, modification management and system manager role are carried out by system background administration interface
It preset with permission, modify management and system data typing and parameter setting, modification management;
Application operating mould group system operation process according to as defined in system operation mould group is default, and setting terminal is equipped back
It is incorporated as industry to flow and functionality, sequentially generates various task instructions, system command key or document frame, message box, filled by terminal
Standby interactive interface is for user's typing, supplement, modification, cancellation, confirmation operation;
The safe mould group of system sets security management processes, plan and security incident prediction scheme according to system demand for security and is
System security procedure, establishes firewall, by means such as certification, encryption, monitoring, trackings, provides file encryption to system, identity is recognized
Card, secure accessing, using the comprehensive security protection such as protection, access control, by digital certificate to service server, data
The independent security deployment of the carry out such as library server, archive server and log server, unified management.
12. a kind of electronic product intelligence recovery system according to claim 11, which is characterized in that the human-computer interaction mould
Group system operation process according to as defined in system operation mould group, the application operating mould group is default, and setting terminal equipment is handed over
Mutual interface and function and function are realized;
The identification acquisition mould group is provided according to the data acquisition module group, system operation mould group, the application operating mould group
System operation process it is default, setting terminal equips the image for successively acquiring electronic product to be recycled, reads data;
The industry control mould group, group is according to as defined in the data acquisition module group, system operation mould group, the application operating mould group
System runs process and presets, and setting terminal equipment completes successively recycling operation automatically.
13. a kind of electronic product intelligence recovery system according to claim 10, which is characterized in that the category identification side
Method specifically includes:
Category catalogue and coding are formulated, category database is preset;
It extracts and corresponds to electronic product recognition element and differentiation feature under the category catalogue and coding item, form category identification member
Data preset category and identify metadatabase;
Electronic product characteristic information to be identified is acquired, category database is compared and category identifies metadatabase, is determined described wait know
The category of other electronic product and corresponding coding;
To category catalogue in the category database and coding item under correspond to electronic product related information carry out in real time acquisition with more
Newly, the related information includes:
Basic information;
Auxiliary information;
Circulation information;
Standard picture information;
The basic information includes: type, brand, the name of an article, model, specification, configuration, color, system software and version information;
The auxiliary information includes: electronic product brand operator, core group parts suppliers, manufacturer, retailer and main
Sales Channel and value chain enterprise industrial and commercial registration information and its material items disclose information, Electronic Product Core technology, main
Production technology and its procedure information;
The circulation information includes: electronic product issue date, producer price, list marketing date, Sales Channel and sale price
Lattice, sales volume, software change version, hardware bill of materials and halt production stop pin date information;
The standard picture information includes: electronic product direct picture and back side image, can show configuration and the friendship of functional information
Mutual interface image, side elevational view picture;
The recognition element and differentiation feature are extracted electronic product standard picture by using netting analysis and filtration method and are obtained
It arrives, specifically includes:
Extract the recognition element and difference stored in the standard picture between the electronic product and other variety classes electronic products
Alienation feature;
Extract the identification member stored in the standard picture between the electronic product and its same type but different brands electronic product
Element and differentiation feature;
Extract the recognition element and difference stored in the standard picture between the electronic product and its same brand but the different names of an article
Change feature;
Extract store recognition element in the standard picture between the electronic product and its same brand, the name of an article but different model and
Differentiation feature;
Extract the identification stored in the standard picture between the electronic product and its same brand, the name of an article, model but different size
Element and differentiation feature;
It extracts and stores the electronic product and its same brand, the name of an article, model and specification in the standard picture, but different configuring products
Between recognition element and differentiation feature;
The recognition element and differentiation feature include:
The surface shape and color of electronic product;
Electronic product brand pattern and character;
The layer of structure and color of electronic product enclosure and frame and component;
Functional unit and interactive interface UI design of the electronic product including camera, flash lamp, loudspeaker, key are special
Position and the body coordinate, geometrical relationship of sign, list style, icon and text;
Analysis processing electronic product includes type, brand, the name of an article, model, specification, the recognition element of configuration and differentiation feature
Characteristic feature, form the category catalogue and encode the individualized feature metadata under item, and be stored in corresponding category and identify first number
According to library;
The individualized feature metadata and corresponding recognition element and differentiation feature are analyzed, makes the category electronic product respectively
Category identification template, brand recognition template, name of an article recognition template, type identifier template, specification recognition template and configuration identification
Template, and it is stored in corresponding category identification metadatabase;
The individualized feature metadata and corresponding recognition element and differentiation feature before analysis is handled, corresponding standard picture, point
The front recognition template, back side recognition template and specified interactive interface recognition template of the category electronic product are not made, and are stored in
Corresponding category identifies metadatabase;
The acquisition electronic product characteristic information to be identified, compares category database and category identifies metadatabase, specifically includes:
If electronic product to be identified can be switched on and interactive interface can sesolution apparatus information, normally execute subsequent identification step
Suddenly, the step of identifying in subsequent identification step by interactive interface template is otherwise skipped over;
Acquire direct picture, back side image or the specified interactive interface image of electronic product to be identified;
Respectively by the direct picture of the electronic product to be identified, back side image or specified interactive interface image and corresponding recognition template
It is compared and is mutually authenticated, identify that its category encodes, obtain electronic product all information to be identified;
It the comparison and is mutually authenticated and specifically includes:
If the direct picture of electronic product to be identified, back side image and specified interactive interface image pass sequentially through its personalized identification
Template can accurately identify its category coding, then be automatically performed identification, store information;
Otherwise corresponding recognition template successively is called according to the relation on attributes of the product category, brand, the name of an article, model, specification, configuration
It is identified: if its recognition template can accurately identify its category coding, being automatically performed identification, store information, otherwise extracted each
The identical feature of a step is mutually authenticated, and identifies that its category encodes, stores information;
In comparing and being mutually authenticated, through whole contrast contings:
Identification is unable to template and corresponds to configuration, specification, model, successively determines that it is affiliated specification, model, the name of an article and corresponds to category
Encode the minimalist configuration type under item;
Identification is unable to template and corresponds to the name of an article, is determined as that the brand corresponds to brand gradeless and uniformly-priced goods machine under category coding item;
Identification is unable to template and corresponds to brand, and identification decision is gradeless and uniformly-priced goods machine of inferior brand;
Identification is unable to template and corresponds to type, is determined as solid waste machine;
The direct picture of the standard picture and electronic product to be identified, back side image and specified interactive interface image are using packet
The method for including plus setting coordinate grid and optical filtering color filter plate and image noise reduction or adjust gray value reduces interference, improves category identification
Rate;
The image that identification is completed under all category catalogues and coding item is compared, according to the knowledge called in identification process
Other template and identified image calculate separately recognition success rate, extract crucial common feature, Statistical error template.
14. a kind of electronic product recovery method according to claim 10, which is characterized in that the defect recognition methods is logical
It crosses in the image information for extracting electronic product to be identified and encodes the off-note of the standard picture of electronic product under item with the category,
It identifies its various defect classification, and determines its recovery value accordingly and its recycle mode and flow direction;
The defect recognition methods implementation steps are as follows:
Category catalogue and coding are formulated, defect category database is preset;
It presets various category catalogues and encodes appearance quality classification, the deformation defect classification, screen display defect of the electronic product under item
Classification standard and rule and its defect coding of classification, component defect classification, functional impairment classification and system deficiency classification, deposit
Defect category database;
The classification standard of electronic product and rule and its defect coding under item are encoded according to category, using mesh coordinate method and optical filtering
Colour filter method and interactive interface path relation extract appearance quality classification, the deformation defect classification, screen display of the category electronic product
The recognition element of defect classification, component defect classification, functional impairment classification and system deficiency classification marks corresponding defect classification and knows
Other template;
It is correspondingly arranged defect identification metadatabase;
Recognition methods is selected according to electronic product situation to be identified, acquires electronic product characteristic information to be identified, compares defect class
Other database and defect identify metadatabase, determine the category of the electronic product to be identified and correspond to coding;
The recognition methods includes: defect classification interface method of identification, defect classification shape method of identification;
Defect classification interface method of identification is suitable for be switched on and interactive interface can partially show the electricity to be identified of facility information
Sub- product;
The defect classification shape method of identification is suitable for that interactive interface is unable to sesolution apparatus system information and cannot be switched on but outside
The electronic product to be identified of shell energy sesolution apparatus information;
Defect classification interface method of identification for identification electronic product to be identified hardware configuration defect information, system software lack
Damage information and functional impairment information, read device personality user setting, determine its screen display defect classification, functional impairment classification,
State, product guarantee state is arranged in system deficiency classification and user account password;
Specifically includes the following steps:
Preset the facility information interactive interface standard picture of various category electronic products;
Using under the functions of the equipments and system health state in mesh coordinate method extract equipment interaction interface standard picture
The path relation feature of key feature and interactive interface, mark screen display defect interface recognition template, the identification of functional impairment interface
Template and system deficiency interface recognition template;
Terminal installation scans or shoots the facility information interactive interface image of electronic product to be identified;
It is identified using OCR technique and reads related text content, extract hardware configuration defect information, system software defect information, read
Take equipment account number cipher setting state, the setting of product guarantee state personalized user;
Facility information interactive interface image and its screen display defect interface by pre-set programs contrast conting electronic product to be identified
The difference of recognition template, functional impairment interface recognition template and system deficiency interface recognition template obtains defect information and correlation
Content;
The defect classification shape method of identification is suitable for identifying that the appearance quality, deformation defect, screen display of electronic product to be identified lack
Damage, component defect, functional impairment and system deficiency feature, damage condition and defect degree,
Specifically includes the following steps:
Preset front and back, the side elevation standard picture of various category electronic products;
Using gridding method extract electronic product front and back, side elevation standard picture, the mode of appearance of nondestructive state, component,
Function and system core feature, mark appearance quality, deformation defect, screen display defect, component defect, functional impairment and system deficiency
Feature and defect classification recognition template;
Terminal installation scans or shoots front, reverse side and the side elevational view picture of electronic product to be identified;
Mould is identified by the front of pre-set programs contrast conting electronic product to be identified, reverse side and side elevational view picture and defect classification
The feature difference of plate;
Identify electronic product to be identified appearance quality classification and deformation, screen display, component, function and system defect classification;
Execute recycling grade identification, for identification the various defect features of electronic product to be identified, and determine its recycling accordingly etc.
Grade, specifically includes:
Preset the spy of the screen display defects of various category electronic products, component defect, functional impairment, shape defect and appearance quality
Sign, type and rank;
Grade is recycled according to logical relation, the syntagmatic setting system between various defect features, type and grade;
Analyze various defect features in the different photos for extracting aforementioned electronic product to be identified respectively using gridding method;
The type and rank of the contrast conting defect are distinguished by pre-set programs;
Determine the electronic product recycling grade to be identified.
15. a kind of electronic product recovery method according to claim 10, which is characterized in that the recycling pricing method pair
Electronic product to be recycled carries out estimating recycling valence, comprising the following steps:
According to the category catalogue and coding in the category database, preset:
Different brands, model, specification electronic product unit take-back cost be X;
Recycling price radix is W;
Products-hardware cost is K, and hardware allowance for depreciation is k;
Additional value share ratio is P, and brand value preserving rate is p;
Technical value added share ratio is R, and technology value preserving rate is r;
Technique added value share ratio is M, and technique value preserving rate is m;
Function added value share ratio is Q, and function value preserving rate is q;
It is Z that defect, which restores valence/resetting valence,;
Processing cost is Y, wherein tearing machine cost y open1, environmental protection treatment cost y2, account number cipher release expense y3;
It recycles service process cost and expense is L;
Using losing coefficient t;
Reclaiming benefit rate i%;
Wherein:
According to the category recognition methods or defect recognition methods, brand, the model, rule of recognition and verification electronic product to be recycled
Lattice, transferring its corresponding recycling price radix is Wn;
Products-hardware cost is Kn, hardware allowance for depreciation is kn;
Additional value share ratio is Pn, brand value preserving rate is pn;
Technical value added share ratio is Rn, technology value preserving rate is rn;
Technique added value share ratio is Mn, technique value preserving rate is mn;
Function added value share ratio is Qn, function value preserving rate is qn;
It is Z that defect, which restores valence,n;
Processing cost is Yn, wherein tearing machine cost y open1n, environmental protection treatment cost y2n, account number cipher release expense y3n;
It recycles service process cost and expense is Ln;
Using losing coefficient tn;
Reclaiming benefit rate in%;
Bring formula into:
Xn={ Kn×(1-kn)+(Wn-Kn)×(Pn×pn+Rn×rn+Mn×mn+Qn×qn)×tn-Zn-Yn-Ln}×(1-in)
Recycling valence X is estimated up to electronic product to be recycledn。
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110653162A (en) * | 2019-10-22 | 2020-01-07 | 上海悦易网络信息技术有限公司 | Streamlined automatic sorting and recycling equipment |
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104717635A (en) * | 2015-03-23 | 2015-06-17 | 深圳淘绿信息科技有限公司 | Intelligent mobile phone recycling system and method thereof |
CN104881926A (en) * | 2015-04-16 | 2015-09-02 | 四川长虹电器股份有限公司 | Self-service recycling system of waste mobile phones |
CN105590132A (en) * | 2014-11-06 | 2016-05-18 | 埃科亚特姆公司 | Methods and systems for evaluating and recycling electronic devices |
CN105590131A (en) * | 2014-10-31 | 2016-05-18 | 埃科亚特姆公司 | Systems and methods for recycling consumer electronic devices |
CN106372638A (en) * | 2016-08-31 | 2017-02-01 | 佛山绿怡信息科技有限公司 | Method and system for identifying brand and model of electronic equipment |
US20170301010A1 (en) * | 2008-10-02 | 2017-10-19 | ecoATM, Inc. | Method and apparatus for recycling electronic devices |
CN108648064A (en) * | 2018-07-17 | 2018-10-12 | 北京引领海逛科技有限公司 | The method and apparatus of the quick restocking of product information |
CN109102327A (en) * | 2018-07-23 | 2018-12-28 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of article recycling |
CN109117958A (en) * | 2017-06-26 | 2019-01-01 | 深圳回收宝科技有限公司 | Portable electronic device valuation methods, recovery method, terminal, cloud and system |
CN109165746A (en) * | 2018-07-23 | 2019-01-08 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
CN109214524A (en) * | 2018-07-23 | 2019-01-15 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
CN109299788A (en) * | 2018-07-23 | 2019-02-01 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
-
2019
- 2019-06-25 CN CN201910557471.5A patent/CN110263952B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170301010A1 (en) * | 2008-10-02 | 2017-10-19 | ecoATM, Inc. | Method and apparatus for recycling electronic devices |
CN105590131A (en) * | 2014-10-31 | 2016-05-18 | 埃科亚特姆公司 | Systems and methods for recycling consumer electronic devices |
CN205608792U (en) * | 2014-10-31 | 2016-09-28 | 埃科亚特姆公司 | System for be used for retrieving consumption electronic equipment |
CN105590132A (en) * | 2014-11-06 | 2016-05-18 | 埃科亚特姆公司 | Methods and systems for evaluating and recycling electronic devices |
CN104717635A (en) * | 2015-03-23 | 2015-06-17 | 深圳淘绿信息科技有限公司 | Intelligent mobile phone recycling system and method thereof |
CN104881926A (en) * | 2015-04-16 | 2015-09-02 | 四川长虹电器股份有限公司 | Self-service recycling system of waste mobile phones |
CN106372638A (en) * | 2016-08-31 | 2017-02-01 | 佛山绿怡信息科技有限公司 | Method and system for identifying brand and model of electronic equipment |
CN109117958A (en) * | 2017-06-26 | 2019-01-01 | 深圳回收宝科技有限公司 | Portable electronic device valuation methods, recovery method, terminal, cloud and system |
CN108648064A (en) * | 2018-07-17 | 2018-10-12 | 北京引领海逛科技有限公司 | The method and apparatus of the quick restocking of product information |
CN109102327A (en) * | 2018-07-23 | 2018-12-28 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of article recycling |
CN109165746A (en) * | 2018-07-23 | 2019-01-08 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
CN109214524A (en) * | 2018-07-23 | 2019-01-15 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
CN109299788A (en) * | 2018-07-23 | 2019-02-01 | 深圳回收宝科技有限公司 | A kind of method, portable terminal and the storage medium of electronic product recycling |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110653162A (en) * | 2019-10-22 | 2020-01-07 | 上海悦易网络信息技术有限公司 | Streamlined automatic sorting and recycling equipment |
CN110929893B (en) * | 2019-10-29 | 2023-04-14 | 深圳市爱博绿环保科技有限公司 | Method and device for managing recovery service |
CN110929893A (en) * | 2019-10-29 | 2020-03-27 | 深圳市爱博绿环保科技有限公司 | Method and device for managing recovery service |
CN111047387A (en) * | 2019-10-29 | 2020-04-21 | 深圳市爱博绿环保科技有限公司 | Recovery management method and device |
CN111047387B (en) * | 2019-10-29 | 2023-04-07 | 深圳市爱博绿环保科技有限公司 | Recovery management method and device |
CN110910174A (en) * | 2019-11-25 | 2020-03-24 | 北京工业大学 | Typical urban renewable resource intelligent identification and pricing method |
CN111047769A (en) * | 2019-12-24 | 2020-04-21 | 吴昶炜 | Intelligent electronic product recovery system and recovery machine |
CN112052963A (en) * | 2020-07-16 | 2020-12-08 | 张洋 | Waste material classification and value evaluation device capable of conducting autonomous learning |
CN112966841A (en) * | 2021-03-18 | 2021-06-15 | 深圳闪回科技有限公司 | Offline automatic order examining system |
CN113240293A (en) * | 2021-05-18 | 2021-08-10 | 中冶长天国际工程有限责任公司 | Wisdom logistics system |
CN113240293B (en) * | 2021-05-18 | 2024-03-15 | 中冶长天国际工程有限责任公司 | Intelligent logistics system |
CN113642839A (en) * | 2021-07-05 | 2021-11-12 | 华录科技文化(大连)有限公司 | Workflow self-adaptive renewable resource recovery system based on flow reconstruction |
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CN115809187A (en) * | 2023-01-17 | 2023-03-17 | 江苏领视达智能科技有限公司 | Method for processing waste products of frameless flat panel display based on big data screening |
CN116703370A (en) * | 2023-08-08 | 2023-09-05 | 深圳市爱博绿环保科技有限公司 | Electronic waste recycling method and system based on Internet |
CN116703370B (en) * | 2023-08-08 | 2023-12-15 | 深圳市爱博绿环保科技有限公司 | Electronic waste recycling method and system based on Internet |
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