CN110276459B - Electronic product recovery method and computer equipment - Google Patents
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Abstract
The invention relates to the technical field of artificial intelligence, and discloses an electronic product recovery method and computer equipment, wherein the method comprises the following steps: the invention realizes the composite functions of reasonable recovery value, convenient recovery mode, user interest guarantee and user privacy safety, standardizes the classification standard of the recovery grade, the industrial operation regulation and the price system, and further optimizes and improves the recovery service quality and the operation efficiency.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an electronic product recovery method and computer equipment.
Background
With the development of science and technology, electronic products are updated more and more frequently, users of discarded electronic products choose to leave the horizontal cabinet idle rather than to recycle the electronic products, daily solid waste of the electronic products pollutes 'barrier lakes', and the hidden danger of ecological environment hazard which cannot be estimated is left. Electronic products such as idle mobile phones, tablet computers and the like are treated in a recycling mode, and the recycling method is very important for protecting the environment, guaranteeing the health, maintaining ecological balance, utilizing renewable resources and developing circular economy.
At present, electronic products such as mobile phones, tablet computers and the like are mainly recycled in an online mode and an offline mode. The online recycling and checking machine is complex in operation and complex in valuation process, objects need to be sent to a designated place of a recycling dealer for manual checking machine and then paid, so that the recycling price is not transparent, transaction and delivery cannot be completed in time, the phenomena of intermediate profit-making and bad fraud are easy to propagate, funds and time are occupied, and logistics are wasted. The offline recycling store address is fixed, so that the user is inconvenient, and even if the merchant performs the online recycling, the user needs to bear high cost; the tourist and commercial recycling neglected changing of the face plate and the waste station are recycled as garbage, so that the user value is lost. The offline recycling merchants in the regional market are limited by the bottlenecks of information, technology and resources, which results in high cost and low efficiency, and form the current situation that the recycling price in the industry is low and the actual demand is seriously disconnected. Under the circumstances of traditional industry transformation upgrading, supply side innovation and internet + and intelligence +, the electronic product recycling technology is urgently to be fused and innovated. Electronic products with huge stocks in China are huge hidden dangers of environmental pollution and must be decomposed and eliminated through an effective way; is a huge production element resource, and an effective mechanism must be explored for active utilization; is a huge industrial development opportunity and must be innovated and effectively driven by the mode value.
At present, technologies of electronic product recycling industries such as mobile phones and tablet computers mainly focus on the aspects of recycling websites, related APPs and terminal equipment, the defect grade judgment, recycling pricing and process service of product recycling all need manual operation or manual operation mechanization, the speculativity and the randomness are very serious, and a systematic intelligent technical scheme which can achieve reasonable recycling value, convenient recycling mode and guarantee user rights and privacy safety is not provided.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an electronic product recycling method and computer equipment, which are used for solving the problems in the background art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides an electronic product recovery method, which comprises the following steps:
an electronic product recycling method is characterized by comprising the following steps:
recovery preparation, namely preprocessing the electronic product to be recovered and triggering a recovery system to work;
identifying and inputting, extracting and verifying identification elements and personalized and differentiated characteristic information of the electronic product to be recovered;
performing system calculation, namely performing class identification and defect identification on the electronic product to be recovered, and checking related technical economic indexes and defect group component values;
the system quotes, judges its recovery and utilizes the way and flow direction and recovery grade, the settlement recycles the processing cost and retrieves the course expense, produce and retrieve the quotation list, and feed back to the user and wait for confirming;
the safety authority verification is used for authenticating the user identity and carrying out corresponding disposal authorization according to an authentication result;
paying the price, confirming the transaction by the user, and paying the payment in real time;
and (4) transaction delivery, namely, after payment of the goods payment is finished, the terminal device automatically receives the goods to complete the transaction.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to realize the electronic product recycling method.
Compared with the prior art, the invention has the following beneficial effects:
the invention simplifies the electronic product recovery flow and operation steps, reduces intermediate links, greatly reduces the capital occupation cost, the detection cost, the recovery process affair labor cost and the logistics cost, and can help various market main bodies to realize the maximum benefit, the highest efficiency, the minimum risk and the mutual benefit and win-win;
the invention automatically completes the operations of machine inspection, pricing, payment and receiving of the full recovery flow through terminal equipment, supports the realization of manual intervention transaction decision through a user interface, breaks through the limitation of professional knowledge, market information and operation skills, has universality higher than that of any existing recovery method, enables the user to abandon the replaced electronic product to be conveniently recycled at any time and any place with reasonable value, solves the problems of unsmooth supply and demand and resource waste caused by random quotation, price fraud and opportunistic operation and skillful fetching due to technical and information asymmetry in the current recovery market, further solves the stiff phenomena of old unremoved, unrelieved stock and inextensible increment in the current electronic product industry, and can improve the repeated consumption of the electronic product and promote economic prosperity;
the invention automatically identifies the type, brand, name, model, specification, configuration, color, account password state, serial number and electronic three-pack warranty state of the electronic product to be recovered through an artificial intelligence technology, automatically identifies the appearance color type, deformation, screen display, assembly, function and system defect type of the electronic product to be recovered, and calculates the recovery price from the variety, brand, technology, process, function, hardware, instant (latest) transaction data and other multidimensional checking, thereby solving the problems that the type, defect type and degree of the electronic product to be recovered can not be quickly identified, the recovery value, the recycling mode and the flow direction can not be accurately judged, and the reasonable and fair recovery price can not be calculated in the current electronic product recovery industry and recovery operation; not only can the user rights and interests be guaranteed maximally, but also the resource value and the ecological value of the discarded electronic products can be utilized and exerted maximally;
the electronic product recycling system provided by the invention standardizes the recycling categories of electronic products, the category classification method and standard of the recycling categories of electronic products, the defect categories of electronic products, the category classification method and standard of the defect categories of electronic products, and the recycling pricing mechanism of electronic products, and can help the recycling market of electronic products to establish supply and demand trust, promote fair transaction and promote two smooth supply and demand; the system data can be directly connected with the market, the types of the recovered products and the defect types can be customized according to different market rules and customer requirements, sellers are supported to buy coil goods and buy products in real time in an open bidding mode or trade in a dark shot mode in a time limit mode, deep learning and calculation engines are supported to automatically optimize the recovery process, the identification accuracy and the quotation rationality can be improved through big data analysis and data resource mining, the recovery service quality and the operation efficiency are further optimized and improved, the recovery utilization rate of electronic products is further improved, the environmental pollution and the ecological hidden danger are reduced through shunting and recycling electronic garbage, the key resources of production activities are saved, the utilization efficiency of regenerated resources is improved, and the development of ecological cycle economy is driven.
The invention adopts a self-defined grid method and a filtering method, breaks through the technical limit of the traditional method based on pixel coordinates, image binary processing, image segmentation and mathematical morphology detection, overcomes the problems that the self-adaptive performance of the current image identification technology is poor, and an ideal result cannot be obtained once a target image is polluted by stronger noise or has larger defects, enhances the stability and universality, and greatly reduces the development cost and the use cost;
further salient features and significant advances with respect to the present invention over the prior art are described in further detail in the examples section.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic flow chart of an electronic product recycling method according to the present invention;
FIG. 2 is a schematic flow chart of the item identification method of the present invention;
FIG. 3 is a schematic diagram of a defect identification method of the present invention;
fig. 4, 5, and 6 are schematic diagrams of extracting feature information by using a mobile phone as an example in the grid analysis method of the present invention, respectively;
FIG. 7 is a schematic diagram of a user interface for a three-pack warranty status of an electronic product according to the present invention;
FIG. 8 is a schematic diagram of a structure of a post-identification pricing recycling client according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that certain names are used throughout the specification and claims to refer to particular components. It will be understood that one of ordinary skill in the art may refer to the same component by different names. The present specification and claims do not intend to distinguish between components that differ in name but not function. As used in the specification and claims of this application, the terms "comprises" and "comprising" are intended to be open-ended terms that should be interpreted as "including, but not limited to," or "including, but not limited to. The embodiments described in the detailed description are preferred embodiments of the present invention and are not intended to limit the scope of the present invention.
Moreover, those skilled in the art will appreciate that aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, various aspects of the present invention may be embodied in a combination of hardware and software, which may be referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, various aspects of the invention may also be embodied in the form of a computer program product in one or more microcontroller-readable media having microcontroller-readable program code embodied therein.
Referring to fig. 1, the electronic product recycling method of this embodiment prompts the user to operate the terminal device to complete recycling operation according to the user interface, and includes seven steps of S1 recycling preparation, S2 recognition entry, S3 system calculation, S4 system quotation, S5 security right verification, S6 payment price, and S7 transaction delivery;
the step S1 recovery preparation: the user interface prompts the content and sequence of the prepared operation; the user interface prompts the content and sequence of the prepared operation;
according to the prompt of the user interface recovery preparation, the electronic product to be recovered is subjected to recovery pretreatment, and the method specifically comprises the following steps: quitting the user account of the electronic product to be recovered, clearing a user password, deleting private information, restoring factory settings, and cleaning dust on the surface of the electronic product to be recovered;
a user wears gloves to clean dust and sundries of a mobile phone or a tablet personal computer to be recovered by using a soft brush, cleans dirt on the surface by using cleaning cloth, and sticks a special recovery bar code at a specified position on the back;
the system automatically wakes up according to a power supply signal of the terminal equipment;
the method comprises the following steps that a user selects electronic products to be recovered in a pre-classification mode, wherein the pre-classification specifically comprises the types of the electronic products to be recovered, whether the electronic products are started normally and whether a user interface is read normally; the recycled electronic product category comprises a mobile phone, a tablet personal computer and a notebook computer;
if the electronic product to be recovered can be started, the user starts the electronic product and puts the electronic product into a terminal equipment induction area;
the terminal equipment receives the electronic product to be recovered, generates a recovery order and displays the recovery order on an interactive interface, wherein the recovery order displays a recovery process according to a recovery step, and records each identification content and a step completion state;
said step S2 of identifying an entry includes: the terminal equipment sequentially adjusts the positions of the front side and the back side of the electronic product to be recovered, and shoots front side images, back side images and side elevation images of the electronic product;
if the electronic product to be recovered is normally started, executing an interface image acquisition step, otherwise, skipping the step, wherein the interface acquisition step comprises the following steps:
the terminal equipment shoots the image S of the starting interface of the electronic product0；
Identifying a path for opening a 'function key' interface from a starting interface, opening and shooting a function key interface image S1；
Identifying a 'set key' key in the function key interface, opening and shooting the set interface image S2；
Recognizing a 'about device' key in the setting interface, opening and shooting an image S of the interface of the about device3；
The specific operation flow is illustrated as follows:
the user interface displays the operation content and sequence and the system process prompt; an operator starts up and opens an interactive interface (whether charging can be carried out or not) which can display equipment information and/or system configuration of a mobile phone or a tablet personal computer to be recovered, accesses a corresponding data line of terminal equipment into a socket of the terminal equipment, opens a door of the terminal equipment, slides the interactive interface for 3 times in an identification area, puts the interactive interface upwards into the identification area, adjusts the position according to a prompt, closes the door, and supplements operation according to the prompt of a user interface of the terminal equipment; the system automatically lights a lamp according to a door opening signal, generates a recovery order, inputs a small video of an interactive interface of a mobile phone or a tablet computer to be recovered, which is slid by an operator, identifies offside and/or system error information, feeds the information back to a user interface to prompt manual additional recording, and automatically enters the next step after the operation is finished;
the step S3 is that the system calculates, performs category identification and defect identification on the electronic product to be recovered, and calculates the economic index of the relevant technology and the value of the defect group component;
the identification of the category and the identification of the defect category specifically comprise:
calling, identifying and recording the image collected in the step;
the method for identifying the categories of the electronic products to be recovered by adopting a category identification method sequentially identifies and inputs category information of the electronic products to be recovered, and comprises the following steps: the system comprises a storage capacity state, a type, a brand, a product name, a model, a specification, hardware configuration information, equipment function keys, relevant function states, equipment EMID codes, user account password states, system software initial versions, updated version numbers and storage capacity states;
identifying defects of the electronic product to be recovered by adopting a defect identification method, and sequentially identifying and inputting defect type information of the electronic product to be recovered, wherein the defect type information comprises an appearance color type, a deformation defect type, a screen display defect type, a component defect type, a function defect type and a system defect type of the electronic product;
the identified electronic product category information and the defect category information are automatically input into a recovery order, and the information which is not identified and input is fed back to a user interface to prompt manual additional input;
referring to fig. 2, 4, 5 and 6, the present embodiment provides a method for identifying categories of electronic products, where the electronic products may be any other electronic device with recycling value, such as a mobile phone and a computer, and the method for identifying categories of electronic products includes the following steps:
setting classification standards and rules of recovered products, formulating an electronic product recovered product category catalog and a product identification code according to the vertical dependency relationship of types, brands, product names, models, specifications, configurations and colors, and presetting a recovered product database;
acquiring and updating the associated information of the electronic product under the item identification code item in the item database in real time through customized template crawler software and manual check entry or manual acquisition entry; the associated information includes:
basic information;
auxiliary information;
circulation information;
a standard image;
wherein the basic information includes: the type, brand, name, model, specification, configuration, color, system software information and version of the electronic product;
wherein the auxiliary information comprises: brand operators, core group component suppliers, manufacturers, sellers, main sale channels, value chain enterprise business registration information and major item disclosure information of electronic products, core technologies of electronic products, main production technology technologies and process information of electronic products;
wherein the circulation information includes: release date, delivery price, sale date on sale, sale channel, sale price, sale quantity, software alternation version, hardware material list and stop date information of the electronic product;
wherein the standard image comprises: the method comprises the following steps that a front image and a back image of an electronic product, a side elevation image, a key part microscopic image and one or more appointed user interface images are obtained;
extracting corresponding electronic product identification elements and differentiation characteristics under the category catalog and the coding items to form category identification metadata, and presetting a category identification metadata database;
the identification elements and the differentiation features in this embodiment are obtained by extracting the standard image of the electronic product by a grid analysis method and a filtering method, and specifically include:
extracting and storing identification elements and differentiation characteristics between the electronic product and other different types of electronic products in the standard image;
extracting and storing identification elements and differentiation features between the electronic product and electronic products of the same type but different brands in the standard image;
extracting and storing identification elements and differential features between the electronic product and the electronic product with the same brand but different names in the standard image;
extracting and storing identification elements and differentiation characteristics between the electronic product and the electronic product with the same brand and name but different models in the standard image;
extracting and storing identification elements and differentiation characteristics between the electronic product and the electronic product with the same brand, name and model but different specifications in the standard image;
extracting and storing identification elements and differential characteristics of the electronic product and products with the same brand, name, model and specification but different configurations in the standard image;
the identification elements and the differentiated features include:
the surface shape and color of the electronic product;
electronic product brand patterns and characters;
the structural hierarchy and color of the electronic product casing, the frame and the components;
the electronic product comprises functional components including a camera, a flash lamp, a loudspeaker and a key, and the position, the body coordinate and the geometric relationship of UI design characteristics, form styles, icons and characters of the interactive interface;
the grid analysis method in this embodiment specifically includes:
presetting a calibration coordinate origin, an x axis, a y axis and a transparent four-quadrant coordinate grid of a graduated scale thereof as standard detection coordinates;
presetting a standard image metadata base under the item identification coding item, and recording and storing various standard image data of the electronic product extracted by adopting standard detection coordinates under the item identification coding item;
the extracting of the standard image data includes:
stacking the standard detection coordinates on the surface of the electronic product standard image under the item identification coding item, enabling the coordinate origin to coincide with the center point of the selected feature in the standard image, enabling the x axis to be parallel to the top edge and the y axis to be vertical to the top edge, and calibrating the size of the coordinate dividing ruler according to the standard size of the product object in proportion;
extracting the machine body specification size, the display screen specification size, the geometric shapes and sizes of the shell and the frame, the brand image-text shapes and sizes, the geometric shapes and sizes of different functional components such as a camera, a flash lamp, a loudspeaker and the like, different keys and key microscopic features in the standard image through standard detection coordinates, calibrating the spatial position coordinates and the geometric relationship between the spatial position coordinates and the key microscopic features, and recording data into a standard image metadata base under the class identification coding item;
extracting the UI design characteristics, form styles, icons and the body characteristics of characters of the designated user interface through standard detection coordinates, calibrating the space position coordinates and the mutual geometric relationship of the space position coordinates, and inputting data into a standard image metadata base under the class identification coding item;
extracting identification features and coordinate positions of a plurality of designated user interface entry keys of the electronic product under the class identification coding item through standard detection coordinates, recording entry paths according to the parent-child relationships of different user interfaces, and inputting data into a standard image metadata base under the class identification coding item;
in the embodiment, a filtering method is adopted to collect the standard surface color, the standard glossiness and the standard roughness of the electronic product under the class identification coding item, and data is recorded into a standard image metadata database under the class identification coding item;
in this embodiment, the unique features of the electronic product including the identification elements of the category, brand name, model, specification, configuration and differentiation features are also analyzed and processed to form the personalized feature metadata under the category catalog and the coding item, and the personalized feature metadata are stored in the corresponding category identification metadata base.
In this embodiment, the personalized feature metadata, the corresponding identification element, and the differentiated feature are further analyzed, and a category identification template, a brand identification template, a name identification template, a model identification template, a specification identification template, and a configuration identification template of the item electronic product are respectively manufactured and stored in the corresponding item identification metadata base.
In this embodiment, the personalized feature metadata, the corresponding identification elements, and the differentiated features before processing are further analyzed, a front identification template, a back identification template, and a designated interactive interface identification template of the electronic product of the category are respectively manufactured corresponding to the standard image, and are stored in the corresponding category identification metadata base.
Collecting the characteristic information of the electronic product to be recovered, comparing the item database with the item identification metadata database, and determining the item and the corresponding code of the electronic product to be recovered, which specifically comprises the following steps:
the method comprises the following steps of collecting characteristic information of the electronic product to be recycled, comparing a product database with a product identification metadata database, and specifically comprising the following steps:
collecting a front image, a back image or a designated interactive interface image of an electronic product to be recovered;
and respectively comparing and mutually verifying the front image, the back image or the appointed interactive interface image of the electronic product to be recovered with the corresponding identification template, identifying the type code of the electronic product, and acquiring all information of the electronic product to be recovered.
The comparison and mutual verification specifically comprises the following steps:
if the front image, the back image and the appointed interaction interface image of the electronic product to be recovered can accurately identify the type code of the electronic product sequentially through the personalized identification template, automatically completing identification and storing information;
otherwise, calling corresponding identification templates to identify according to the attribute relationship among the product type, brand, name, model, specification and configuration: if the identification template can accurately identify the type code, the identification is automatically completed, and the information is stored, otherwise, the matching characteristics of all the steps are extracted for mutual verification, the type code is identified, and the information is stored;
in alignment and mutual validation, all alignment calculations are:
identifying that the templates cannot be corresponding to configuration, specification and model, and sequentially judging that the templates are the lowest configuration model under the item type coding items corresponding to the specification, model and name;
identifying that the template can not be corresponding to the brand name, and judging that the brand corresponding item type code item is placed in a brand tally machine;
identifying that the template which cannot be identified corresponds to the brand, and identifying and judging as a mixed brand tally machine;
identifying that the template which cannot be identified corresponds to the type, and judging as a solid waste machine;
the standard image, the front image, the back image and the appointed interactive interface image of the electronic product to be recovered adopt a method of adding a coordinate grid and a light filtering and color filtering plate and reducing noise of the image or adjusting a gray value to reduce interference and improve the class identification rate.
In the embodiment, comparison analysis is performed on the images which are identified under all the category catalogs and the coding items, the identification success rate is respectively calculated according to the identification template and the identified images which are called in the identification process, the key commonality characteristics are extracted, and the identification template is optimized.
Referring to fig. 3, 4, 5, 6 and 8, the present embodiment provides a defect identification method, which identifies various defect categories by extracting abnormal features of image information of an electronic product to be recovered and a standard image of the electronic product under the category code item, and determines a recovery value, a recycling manner and a flow direction thereof according to the defect categories;
the defect identification method comprises the following implementation steps:
making a category catalog and a code, and presetting a defect category database; in the embodiment, a category catalog and a category identification code can be set in the same way as the category identification method, so that a defect identification database and a defect identification metadata database of the electronic product under the category identification code item are set;
the defect types under the item type identification coding item in the embodiment comprise an appearance color type, a deformation defect type, a screen display defect type, an assembly defect type, a function defect type and a system defect type;
formulating classification standards and rules of the appearance color type, the deformation defect type, the screen display defect type, the component defect type, the function defect type and the system defect type and defect codes thereof, and correspondingly setting a defect type metadata base of the electronic product under the item type identification code item;
the appearance color class in this embodiment is classified into 6 grades according to the old and new degree, wherein the 6 th grade is the appearance damage class, which means appearance damages such as corner damage, frame damage, display screen damage, bottom cover upper part damage, bottom cover lower part damage and the like caused by external force such as dropping, collision and the like of the electronic product; presetting an appearance coloring class subclass code, and marking appearance coloring identification metadata according to a grading standard and a rule thereof to be recorded into a defect class metadata database;
the deformation defect categories are divided into subclasses of beautiful flower, floret, large flower, cracking, outburst, implosion, dismantling machine and the like, the defect category subclass codes are preset, and deformation defect identification metadata are marked according to classification standards and rules and are recorded into a defect category metadata database;
the screen display defect categories are divided into sub categories of screen films, screen supports, outer screens, touch layers, liquid crystal layers, backlight sources and the like, screen display defect sub-category codes are preset, and screen display defect identification metadata are marked according to classification standards and rules and are recorded into a defect category metadata database;
the component defect type is divided into sub-types such as a charging component, a camera, a mainboard, a flash lamp and a key, a component defect sub-type code is preset, and component defect identification metadata is marked according to a classification standard and a rule and is recorded into a defect type metadata base;
the functional defect categories are classified into sub-categories such as network, WIFI, conversation, Bluetooth, NFC, swing and other functions, functional defect sub-category codes are preset, and functional defect identification metadata are marked according to classification standards and rules and are recorded into a defect category metadata database;
the system defect type is divided into subclasses such as too low version, system blockage, automatic restart, automatic shutdown, function damage, system crash, incapability of starting and the like, a system defect sub-code is preset, and system defect identification metadata is marked according to a classification standard and a rule and is recorded into a defect type metadata base;
in the embodiment, defect characteristics of electronic products under the identification coding items of the same type and causal relationship formed by defects of the electronic products are analyzed, the logical sequence formed by the common characteristics and the defects is extracted, appearance color, deformation defect, screen display defect, component defect, function defect and system defect identification templates are labeled, and a defect type metadata base is recorded;
selecting an identification method according to the condition of the electronic product to be recovered, collecting the characteristic information of the electronic product to be recovered, comparing a defect type database with a defect identification metadata database, and determining the type and the corresponding code of the electronic product to be recovered; the method specifically comprises the steps of calling a front image, a back image, a side elevation image and a designated user interface image of the electronic product to be recovered;
extracting the body specification size, the display screen specification size, the geometric shapes and sizes of the shell and the frame, the brand image-text shapes and sizes, and the geometric shapes and sizes of the camera, the flash lamp, the loudspeaker and different keys in the front image, the back image and the side elevation image of the electronic product to be recovered and the appointed user interface image by adopting the standard detection coordinates, calibrating the spatial position coordinates and the geometric relationship among the spatial position coordinates and the brand image-text shapes and sizes, and inputting a defect identification database;
extracting the position and body characteristics of the UI design characteristics, the form style, the icons and the characters of the appointed user interface, calibrating the space position coordinates and the mutual geometric relationship of the space position coordinates and the space position coordinates, and inputting a defect identification database;
collecting the color, the surface glossiness and the surface roughness of the electronic product to be recovered, and inputting into a defect identification database;
comparing the data recorded in the defect identification database with the standard image data in the standard image metadata database, and extracting abnormal data and uncalibrated features;
if the abnormal data and the uncalibrated features are not extracted through the comparison calculation, the electronic product to be recovered is judged to be a new machine, and the identification result is recorded into a defect identification database;
if abnormal data and uncalibrated features are extracted through the comparison calculation, the appearance color-forming identification template, the deformation defect identification template, the screen display defect identification template, the component defect identification template, the function defect identification template and the system defect identification template are adopted in sequence for comparison calculation and identification, and identification results are respectively recorded into a defect identification database;
in the embodiment, the data of defect identification under all the class identification coding items are compared and analyzed, the identification success rate of various defect identification templates is respectively calculated, the cause-effect relationship formed by key common characteristics and defects and the logic sequence thereof are extracted, the defect identification method and the identification step are further optimized, and the defect identification accuracy is improved.
The identification method in the embodiment comprises the following steps: interface recognition method, shape recognition method;
the interface identification method is suitable for electronic products to be recovered, which can be started and have an interactive interface capable of partially displaying equipment system information; the method specifically comprises the following steps:
the system presets equipment information interactive interface standard photos of various electronic products;
extracting key difference characteristics between products of the same brand and different specifications and models, such as the brand, the model, the specification, the serial number, relevant characters, graphs, colors, a frame shape, a camera, a flash lamp, a loudspeaker, a key and the like, by adopting a grid method;
the terminal equipment scans or shoots the equipment information interaction interface picture with set illumination and focus;
the system adopts OCR technology to recognize and read the related text content;
comparing and calculating key difference characteristics through a preset program;
identifying products of the same brand, different specifications and models, such as brands, models, specifications, serial numbers, relevant characters, graphs, colors, frame shapes, cameras, flash lamps, loudspeakers, keys and the like;
the shape recognition method is suitable for electronic products to be recycled, wherein the interactive interface cannot distinguish equipment system information, the electronic products cannot be started but the shell can distinguish the equipment system information, and the method specifically comprises the following steps:
the system presets the front and back standard photos of various electronic products;
extracting key difference characteristics between products of the same brand and different specifications and models, such as the brand, the model, the specification, the serial number, relevant characters, graphs, colors, a frame shape, a camera, a flash lamp, a loudspeaker, a key and the like, by adopting a grid method;
the terminal equipment scans or shoots front and back photos with set illumination and focal length;
the system compares and calculates key difference characteristics through a preset program;
identifying products of the same brand, different specifications and models, such as brands, models, specifications, serial numbers, relevant characters, graphs, colors, frame shapes, cameras, flash lamps, loudspeakers, keys and the like;
the defect identification method in the embodiment further comprises a recovery grade identification and judgment step, which is used for identifying various defect characteristics of the electronic product to be recovered and judging the recovery grade of the electronic product, and the method specifically comprises the following steps:
the system presets the characteristics, types and grades of screen display defects, component defects, function defects, appearance defects and appearance color of various electronic products;
setting a system recovery grade according to the logic relation and the combination relation among various defect characteristics, types and grades;
analyzing and extracting various defect characteristics in different photos of the electronic product to be recovered by adopting a grid method;
respectively comparing and calculating the type and the grade of the defect by the system through a preset program;
the system determines the level of recovery.
In the step S3, the calculating of the related technical economic indicators and the values of the defective components in the system calculation specifically includes:
calculating the recycling pricing base number, the product hardware cost, the hardware depreciation rate, the brand additional value share ratio and the brand value retention rate, the technology additional value share ratio and the technology value retention rate, the function additional value share ratio and the function value retention rate of the electronic product to be recycled;
calculating the recovery price or the replacement price of the defective component of the recovered electronic product;
automatically inputting a recovery order in the calculated project;
can not complete the steps of calculating the identification of the returned goods and identifying the defect, and feeds back the steps to a user interface to prompt the manual additional recording
The step S4 of system quotation includes the following steps:
judging the recycling mode and the flow direction of the electronic product according to the defect identification result, and accounting the processing cost and the disassembly cost or the account password removal cost or the environmental protection processing cost;
calculating and judging the cost and expense of the electronic product service process, the use breakage coefficient and the recovery profit margin;
calculating and judging the recovery grade and the recovery price of the electronic product to be recovered;
displaying a recovery order on a user interface, specifying the main attributes, characteristics and system quotation of the electronic product to be recovered, and waiting for the confirmation of a client;
if the customer confirms within the specified time, entering the next step; otherwise, automatically canceling the recovery order.
Referring to the electronic product recycling method provided in this embodiment, the method for calculating and determining the recycling grade and the recycling price of the electronic product to be recycled specifically includes the following steps:
referring to fig. 2, 3, 4, 5, 6, 7, and 8, according to the category catalog and the code in the category database, the following are preset:
the recovery price of electronic products with different brands, models and specifications is X;
the recycling pricing base number is W;
the hardware cost of the product is K, and the hardware depreciation rate is K;
the proportion of the brand added value shares is P, and the brand value retention rate is P;
the proportion of the technical added value share is R, and the technical value retention rate is R;
the proportion of the added value share of the process is M, and the value retention rate of the process is M;
the proportion of the functional added value share is Q, and the functional value retention rate is Q;
the defect recovery/replacement value is Z;
the processing cost is Y, wherein the disassembly cost is Y1And the environmental protection treatment cost y2Account password cancellation charge y3；
The cost and expense of the recovery service process is L;
using the breakage coefficient t;
the recovery profit rate is i%;
wherein:
W＝K+(W-K)×(P+R+M+Q)
P+R+M+Q＝1；
in the embodiment, a pricing base W is recovered, and the latest factory price or the market selling price of the electronic product under the category coding item is adopted to reduce the average selling channel cost of the industry as the base;
in this embodiment, the hardware cost K of the product is calculated by using the electronic product configuration list and the latest component market price under the item type coding item;
in this embodiment, the product hardware depreciation rate k is calculated according to 20% of the depreciation rate, compared with the service life of a common electronic product;
in the embodiment, the additional value share P of the brand is set according to the industry brand ranking, the product market share and the related public sentiment, and the additional value share of the first-line brand is generally preset to be 40%, the second-line brand is preset to be 25% and the third-line brand is preset to be 10%; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the brand value retention rate p percent, the annual value retention rate of the first-line brand is generally 90 percent, the second-line brand is 75 percent, and the third-line brand is 50 percent; adding or subtracting according to the market quotation and the depth statistical data weight;
in this embodiment, the technical added value share R is set according to the technology of the same product, such as 20% of the technical added value share of the head enterprise, 15% of the second enterprise, and 10% of the third enterprise; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the technical value retention rate r% is 80% of the technical annual value retention rate of general preset head enterprises, 70% of the second-class enterprises and 60% of the third-class enterprises; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the share M of the process added value is set according to the standard and equipment technology and related public sentiment of the same product process, and is generally preset to 20% of the share M of the process added value of head enterprises, 25% of second-class enterprises and 30% of third-class enterprises; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the process value retention rate is m%, the process year value retention rate of general preset head enterprises is 75%, the second type of enterprises is 60%, and the third type of enterprises is 50%; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the functional added value share Q is set according to the function comparison of similar products and public opinion setting of related users, and generally, 20% of the functional added value share of head enterprises, 35% of second-class enterprises and 50% of third-class enterprises are preset; adding or subtracting according to the market quotation and the depth statistical data weight;
in this embodiment, the function guarantee value rate q%, the general preset head enterprise function annual guarantee value rate 80%, the second type enterprise 70%, and the third type enterprise 60%; adding or subtracting according to the market quotation and the depth statistical data weight;
in the embodiment, the defect recovery price/reset price Z is calculated according to the analysis and calculation result of deformation defect, component defect, function defect detection items and component repair information data;
the disposal cost Y in the present embodiment includes: y is1For the cost of dismantling the machine; y is2Removing cost for account password according to user account number and sum of recovered productsSetting difficulty level of password release; y is3The cost of environmental protection treatment is reduced; the disposal cost is selected according to the recycling mode and the flow direction, y1And y2Can be accumulated, y3The calculation is not accumulated with the former;
the service cost and the expense L of the recovery process are calculated according to the cost consumed by manpower, equipment and logistics in the recovery process;
the recovery profit rate is i%, and is set according to the value of the occupied capital time and the average profit rate of the industry;
setting a time depreciation coefficient t according to the appearance color forming category and grade and the identified warranty period;
setting a recycling pricing database of the electronic products under the item identification code item according to the recycling item catalog and the item identification code;
collecting product recovery industry information data, recovery market information data, component repair information data, renewable resource information data and related public opinion data in real time, and respectively storing the data into a recovery pricing database;
as shown in fig. 7, information data which affect the recycling price, such as product MEID codes, electronic product three-pack warranty states, user account numbers and password states, system update version information and the like in the product user interface image are extracted by adopting a standard detection coordinate and/or OCR recognition method and stored in a recycling pricing database respectively;
calling basic information, auxiliary information and circulation information in the associated information of the electronic product under the item identification code item, and accounting the recycling pricing base number of the electronic product as WnProduct hardware cost KnHardware depreciation ratio knBrand added value share ratio PnBrand warranty rate pnThe ratio R of the technical added value sharesnThe technical value retention rate rnThe ratio M of the process added value sharesnThe value retention rate m of the processnRatio Q of functional value-added portionsnFunction retention rate qnRespectively storing the data into a recycling pricing database;
calling the defect type data of the electronic product under the item type identification code item, and counting the defect recovery price/weight of the electronic product according to the defect type sub-codePrice ZnAnd a processing cost YnAnd its dismantling cost y1nAnd the environmental protection treatment cost y2nAccount password cancellation charge y3n；
According to the associated information and defect identification data of the electronic product under the item identification code item, judging the recycling mode and flow direction of the electronic product, and accounting the service process cost and expense to be LnUsing the breaking coefficient tnAnd the recovery profit margin in％；
Substitution into the formula:
Xn＝{Kn×(1-kn)+(Wn-Kn)×(Pn×pn+Rn×rn+Mn×mn+Qn×qn)×tn-Zn-Yn-Ln}×(1-in)
obtaining the estimated recycle price X of the electronic product to be recycledn。
The security right verifying step of step S5 includes:
the user interface displays a recovery passenger list and a transaction safety verification prompt;
verifying the identity of the client;
inputting and verifying the user transaction processing authority;
if the verification is passed, automatically sending a payment application form to submit financial payment operation, and entering the next step; otherwise, automatically canceling the recovery order;
for example, the following steps are carried out: the user interface displays a recovery passenger order and a transaction security verification prompt, displays an identification number input box and prompts a client to align the face of the client to a camera for the client to input an identity certificate for the first time or change; the system inputs and verifies the transaction processing authority; if the verification is passed, the system automatically sends out a payment application form to submit financial payment operation, and automatically enters the next step; the client gives up the verification and/or the safety verification can not pass, and the system automatically cancels the recovery order;
the step of paying the price S6 includes the steps of:
the user interface displays a payment application form and a collection mode input box for a user to input a collection mode for the first time or change;
if the financial audit passes the instant payment, displaying a payment notice on the operation interface; otherwise, displaying a refusal notice sheet and canceling the recovery passenger sheet;
the user interface displays a payment application form and a collection mode input box for a user to input a collection mode for the first time or change the collection mode; the system financial audit passes through the instant payment, and the operation interface displays a payment notice; if the system financial audit can not pass, displaying a notice of refusal to pay and canceling a recovery order;
step S7 transaction delivery includes the following steps:
the user interface prompts the customer to check the payment and displays a receiving notice and a transaction confirmation key;
and (5) the user presses keys to confirm, and the terminal equipment automatically receives goods.
The embodiment also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the electronic product recycling method.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. An electronic product recycling method is characterized by comprising the following steps:
step S1, recovery preparation, namely, preprocessing the electronic product to be recovered and triggering a recovery system to work, and the method specifically comprises the following steps:
the user interface prompts the content and sequence of the prepared operation;
according to the prompt of the user interface recovery preparation, the electronic product to be recovered is subjected to recovery pretreatment, and the method specifically comprises the following steps: quitting the user account of the electronic product to be recovered, clearing a user password, deleting private information, restoring factory settings, and cleaning dust on the surface of the electronic product to be recovered;
the terminal equipment is self-started in an induction way;
the method comprises the following steps that a user selects electronic products to be recovered in a pre-classification mode, wherein the pre-classification specifically comprises the types of the electronic products to be recovered, whether the electronic products are started normally and whether a user interface is read normally; the recycled electronic product category comprises a mobile phone, a tablet personal computer and a notebook computer;
the terminal equipment receives the electronic product to be recovered, generates a recovery order and displays the recovery order on an interactive interface, wherein the recovery order displays a recovery process according to a recovery step, and records each identification content and a step completion state;
step S2, recognizing and recording, extracting and verifying the recognition elements and the personalized and differentiated feature information of the electronic product to be recovered, wherein the recognizing and recording comprises the following steps:
the terminal equipment sequentially adjusts the positions of the front side and the back side of the electronic product to be recovered, and shoots front side images, back side images and side elevation images of the electronic product;
if the electronic product to be recovered is normally started, executing an interface image acquisition step, otherwise, skipping the step, wherein the interface acquisition step comprises the following steps:
shooting a starting interface image of the electronic product to be recovered by the terminal equipment;
identifying a path for opening a 'function key' interface from the starting interface, and opening and shooting a 'function key' interface image;
identifying a 'set key' key in a 'function key' interface, and opening and shooting a 'set key' interface image;
recognizing a key of 'about equipment' in a 'setting key' interface, and opening and shooting an 'about equipment' interface image;
step S3, calculating by a system, identifying the type and defect of the electronic product to be recovered, and calculating the economic index and the component value of the defect group of the related technology, wherein the identifying the type and defect type of the electronic product to be recovered specifically comprises the following steps:
calling, identifying and recording the image collected in the step;
the method for identifying the categories of the electronic products to be recovered by adopting a category identification method sequentially identifies and inputs category information of the electronic products to be recovered, and comprises the following steps: the system comprises a storage capacity state, a type, a brand, a product name, a model, a specification, hardware configuration information, equipment function keys, relevant function states, equipment EMID codes, user account password states, system software initial versions, updated version numbers and storage capacity states;
identifying defects of the electronic product to be recovered by adopting a defect identification method, and sequentially identifying and inputting defect type information of the electronic product to be recovered, wherein the defect type information comprises an appearance color type, a deformation defect type, a screen display defect type, a component defect type, a function defect type and a system defect type;
the identified electronic product category information and defect category information to be recovered are automatically input into a recovery order, and the information which is not identified and input is fed back to a user interface to prompt manual additional recording;
step S4, system quotation, judging the recycling mode, flow direction and recycling grade, accounting the recycling processing cost and recycling process cost, generating a recycling quotation, and feeding the recycling quotation to a user for confirmation;
step S5, safety authority verification, user identity authentication, and user disposal authority judgment according to the authentication result;
step S6, paying the price, confirming the transaction by the user, and paying the goods money in real time;
step S7, transaction delivery, wherein the terminal device automatically receives the goods after payment of the goods payment is finished, and the transaction is completed;
in step S3, the method for identifying a type specifically includes:
s311, formulating a category catalog and a category identification code, and presetting a category database;
s312, extracting corresponding electronic product identification elements and differentiation features under the category catalog and the category identification coding items to form category identification metadata, and presetting a category identification metadata database;
s313, collecting the characteristic information of the electronic product to be recovered, comparing the item database with the item identification metadata database, and determining the item of the electronic product to be recovered and the corresponding item identification code;
step S311 specifically includes: the associated information of the corresponding electronic products under the item category catalog and the item identification code items in the item category database is collected and updated in real time,
the associated information includes: basic information, auxiliary information, circulation information and standard image information;
wherein the basic information includes: category, brand name, model, specification, configuration, color, system software, and version information;
the auxiliary information includes: electronic product brand operators, core group component suppliers, manufacturers, sellers, main sale channels, value chain enterprise business registration information and major item disclosure information thereof, electronic product core technology, main production technology and process information thereof;
the circulation information includes: the electronic product release date, the delivery price, the marketing date, the sales channel, the sales price, the sales volume, the software alternation version, the hardware material list and the production stop and marketing stop date information;
the standard image information includes: the system comprises a front image and a back image of an electronic product, an interactive interface image capable of displaying configuration and function information, and a side elevation image;
in step S312, the identification elements and the differentiation features are obtained by extracting the electronic product standard image by using a mesh analysis method and a filtering method, and specifically include:
extracting and storing identification elements and differentiation characteristics between the electronic product and other different types of electronic products in the standard image;
extracting and storing identification elements and differentiation features between the electronic product and electronic products of the same type but different brands in the standard image;
extracting and storing identification elements and differential features between the electronic product and the electronic product with the same brand but different names in the standard image;
extracting and storing identification elements and differentiation characteristics between the electronic product and the electronic product with the same brand and name but different models in the standard image;
extracting and storing identification elements and differentiation characteristics between the electronic product and the electronic product with the same brand, name and model but different specifications in the standard image;
extracting and storing identification elements and differential characteristics of the electronic product and products with the same brand, name, model and specification but different configurations in the standard image;
the identification elements and the differentiated features include:
the surface shape and color of the electronic product;
electronic product brand patterns and characters;
the structural hierarchy and color of the electronic product casing, the frame and the components;
the electronic product comprises functional components including a camera, a flash lamp, a loudspeaker and a key, and the position, the body coordinate and the geometric relationship of UI design characteristics, form styles, icons and characters of the interactive interface;
further, analyzing and processing the unique characteristics of the electronic product, including the type, brand, name, model, specification, configured identification elements and differentiated characteristics, forming personalized characteristic metadata under the item category catalog and item category identification coding items, and storing the personalized characteristic metadata into a corresponding item category identification metadata base;
analyzing the personalized feature metadata and corresponding identification elements and differentiated features, respectively manufacturing a category identification template, a brand identification template, a name identification template, a model identification template, a specification identification template and a configuration identification template of the category electronic product, and storing the category identification templates, the brand identification template, the name identification template, the model identification template, the specification identification template and the configuration identification template into a corresponding category identification metadata base;
analyzing and processing the personalized feature metadata, corresponding identification elements and differential features, corresponding to the standard images, respectively making a front identification template, a back identification template and a designated interactive interface identification template of the electronic product of the product type, and storing the front identification template, the back identification template and the designated interactive interface identification template into a corresponding product type identification metadata base;
in step S313, the collecting of the characteristic information of the electronic product to be recovered and the comparing of the item database with the item identification metadata database specifically include:
if the electronic product to be recovered can be started and the interactive interface can distinguish equipment information, normally executing a subsequent identification step, otherwise skipping the step of identification through the interactive interface template in the subsequent identification step;
collecting a front image, a back image or a designated interactive interface image of an electronic product to be recovered;
respectively comparing and mutually verifying the front image, the back image or the appointed interactive interface image of the electronic product to be recovered with the corresponding identification template, identifying the type identification code of the electronic product to be recovered, and acquiring all information of the electronic product to be recovered;
wherein, the comparing and mutual verifying specifically comprises:
if the front image, the back image and the appointed interaction interface image of the electronic product to be recovered can accurately identify the type identification code of the electronic product sequentially through the personalized identification template, automatically completing identification and storing information;
otherwise, calling corresponding identification templates to identify according to the attribute relationship among the product type, brand, name, model, specification and configuration: if the identification template can accurately identify the type identification code, the identification is automatically completed, and the information is stored, otherwise, the matching characteristics of all the steps are extracted for mutual verification, the type identification code is identified, and the information is stored;
in alignment and mutual validation, all alignment calculations are:
identifying that the templates cannot be corresponding to configuration, specification and model, and sequentially judging that the templates are the lowest configuration model under the item type coding items corresponding to the specification, model and name;
identifying that the template can not be corresponding to the brand name, and judging that the brand corresponding item type code item is placed in a brand tally machine;
identifying that the template which cannot be identified corresponds to the brand, and identifying and judging as a mixed brand tally machine;
identifying that the template which cannot be identified corresponds to the type, and judging as a solid waste machine;
the standard image, the front image, the back image and the appointed interaction interface image of the electronic product to be recovered adopt a method of adding a coordinate grid and a light filtering and color filtering plate and reducing noise of the image or adjusting a gray value to reduce interference and improve the class identification rate;
comparing and analyzing the images which are identified under all category catalogs and the coding items, respectively calculating identification success rates according to identification templates and identified images called in an identification process, extracting key common characteristics, and optimizing the identification templates;
in step S3, the defect identification method includes:
s321, formulating a category catalog and a defect code, and presetting a defect category database;
presetting classification standards and rules of appearance color class, deformation defect class, screen display defect class, component defect class, function defect class and system defect class of the electronic product under various category catalogues and defect coding items and defect codes thereof, and storing the classification standards and the rules into a defect class database;
s322, extracting identification elements of appearance color type, deformation defect type, screen display defect type, component defect type, function defect type and system defect type of the electronic product according to classification standards and rules of the electronic product under the item type coding item and defect codes thereof by adopting a grid coordinate method, a filter method and an interactive interface path relation, and labeling a corresponding defect type identification template;
s323, correspondingly setting a defect identification metadata base;
selecting an identification method according to the condition of the electronic product to be recovered, collecting the characteristic information of the electronic product to be recovered, comparing a defect type database with a defect identification metadata database, and determining the type and the corresponding defect code of the electronic product to be recovered;
the identification method in step S323 includes: a defect type interface recognition method and a defect type appearance recognition method;
the defect type interface identification method is suitable for electronic products to be recovered, wherein the electronic products can be started and the interactive interface can partially display equipment information, the hardware configuration defect information, the system software defect information and the function defect information of the electronic products to be recovered are identified, the personalized user setting of the equipment is read, and the screen display defect type, the function defect type, the system defect type, the user account password setting state and the product warranty state of the electronic products are judged;
the method specifically comprises the following steps:
presetting standard images of equipment information interaction interfaces of various electronic products;
extracting key characteristics of the equipment function and the system in a perfect state and path relation characteristics of an interactive interface in an equipment information interactive interface standard image by adopting a grid coordinate method, and labeling a screen display defect interface identification template, a function defect interface identification template and a system defect interface identification template;
the terminal equipment scans or shoots an equipment information interaction interface image of the electronic product to be recovered;
recognizing and reading related text content by adopting an OCR technology, extracting hardware configuration defect information and system software defect information, and reading personalized user settings of an equipment account number password setting state and a product warranty state;
comparing and calculating the difference between the equipment information interaction interface image of the electronic product to be recovered and the screen display defect interface identification template, the function defect interface identification template and the system defect interface identification template thereof through a preset program to obtain defect information and related content;
the defect type and shape identification method is suitable for identifying the appearance color, deformation defect, screen display defect, component defect, function defect and system defect characteristics, defect state and defect degree of the electronic product to be recovered,
the method specifically comprises the following steps:
presetting standard images of the front, the back and the side vertical surfaces of various electronic products;
extracting standard images of the front side, the back side and the side vertical surface of the electronic product, appearance forms, components, functions and system key characteristics of a lossless state by adopting a grid method, and labeling appearance color, deformation defects, screen display defects, component defects, function defects, system defects, characteristics and defect type identification templates;
the terminal equipment scans or shoots front, back and side elevation images of the electronic product to be recovered;
comparing and calculating the characteristic differences of the front side image, the back side image and the side elevation image of the electronic product to be recovered with the defect type identification template through a preset program;
identifying the appearance color class and defect classes of deformation, screen display, components, functions and systems of the electronic product to be recovered;
the defect identification method also comprises a recovery grade identification and judgment step, wherein the recovery grade identification is executed, the recovery grade identification is used for identifying various defect characteristics of the electronic product to be recovered, and the recovery grade of the electronic product to be recovered is judged according to the recovery grade, and the method specifically comprises the following steps:
presetting the characteristics, types and grades of screen display defects, component defects, function defects, appearance defects and appearance color of various electronic products;
dividing and setting corresponding recycling levels according to the logic relationship and the combination relationship among various defect characteristics, types and levels;
analyzing and extracting various defect characteristics in different photos of the electronic product to be recovered by adopting a grid method;
respectively comparing and calculating the type and the grade of the defect through a preset program;
and judging the recycling grade of the electronic product to be recycled.
2. The electronic product recycling method according to claim 1, wherein the accounting of the related technical economic indicators and the values of the defective component includes:
calculating the recycling pricing base number, the product hardware cost, the hardware depreciation rate, the brand additional value share ratio and the brand value retention rate, the technology additional value share ratio and the technology value retention rate, the function additional value share ratio and the function value retention rate of the electronic product to be recycled;
calculating the recovery price or the replacement price of the defective component group of the electronic product to be recovered;
automatically inputting a recovery order in the calculated project;
and calculating return product identification and defect identification steps cannot be completed, and the steps are fed back to a user interface to prompt manual additional recording.
3. The electronic product recycling method of claim 2, wherein the system offer comprises the steps of:
judging the recycling mode and the flow direction of the electronic product according to the defect identification result, and calculating the processing cost of the electronic product, wherein the processing cost comprises one or more of disassembly cost, account password removal cost and environment-friendly processing cost;
calculating and judging the cost and expense of the electronic product service process, the use breakage coefficient and the recovery profit margin;
calculating and judging the recovery grade and the recovery price of the electronic product to be recovered;
displaying a recovery order on a user interface, specifying the main attributes, characteristics and system quotation of the electronic product to be recovered, and waiting for the confirmation of a client;
if the customer confirms within the specified time, entering the next step; otherwise, automatically canceling the recovery order.
4. The electronic product recycling method according to claim 3, wherein the calculating and determining the recycling grade and the recycling price of the electronic product to be recycled specifically comprises the following steps:
presetting the following contents according to the category catalog and the code in the category database:
the recovery price of electronic products with different brands, models and specifications is X;
the recycling pricing base number is W;
the hardware cost of the product is K, and the hardware depreciation rate is K;
the proportion of the brand added value shares is P, and the brand value retention rate is P;
the proportion of the technical added value share is R, and the technical value retention rate is R;
the proportion of the added value share of the process is M, and the value retention rate of the process is M;
the proportion of the functional added value share is Q, and the functional value retention rate is Q;
the defect recovery/replacement value is Z;
the processing cost is Y, wherein the disassembly cost is Y1And the environmental protection treatment cost y2Account password cancellation charge y3；
The cost and expense of the recovery service process is L;
using the breakage coefficient t;
the recovery profit rate is i%;
wherein:
W＝K+(W-K)×(P+R+M+Q)；
P+R+M+Q＝1
identifying and confirming the brand, model and specification of the electronic product to be recovered according to the type identification method or defect identification method, and calling the corresponding recovery pricing base number as Wn；
The hardware cost of the product is KnThe hardware depreciation rate is kn；
The proportion of the brand added value shares is PnThe brand value retention rate is pn；
The proportion of the technical added value share is RnThe technical value retention rate is rn；
The proportion of the process added value share is MnThe process value retention rate is mn；
The proportion of the functional added value share is QnThe function retention rate is qn；
Defect recovery value of Zn；
A treatment cost of YnWherein the tear-down cost y1nAnd the environmental protection treatment cost y2nAccount password cancellation charge y3n；
The cost and expense of the recovery service process is Ln；
Using the breaking coefficient tn；
Recovery profit margin in％；
Substitution into the formula:
Xn＝{Kn×(1-kn)+(Wn-Kn)×(Pn×pn+Rn×rn+Mn×mn+Qn×qn)×tn-Zn-Yn-Ln}×(1-in)
obtaining the estimated recycle price X of the electronic product to be recycledn。
5. The electronic product recycling method of claim 1, wherein the security authorization verifying step comprises:
the user interface displays a recovery passenger list and a transaction safety verification prompt;
verifying the identity of the client;
inputting and verifying the user transaction processing authority;
if the verification is passed, automatically sending a payment application form to submit financial payment operation, and entering the next step; otherwise, automatically canceling the recovery order.
6. The electronic product recycling method of claim 1, wherein the paying the price comprises the following steps:
the user interface displays a payment application form and a collection mode input box for a user to input a collection mode for the first time or change;
if the financial audit passes the instant payment, displaying a payment notice on the operation interface; otherwise, displaying a refusal notice sheet and canceling the recovery passenger sheet.
7. The electronic product recycling method of claim 1, wherein the transaction delivery comprises the steps of:
the user interface prompts the customer to check the payment and displays a receiving notice and a transaction confirmation key;
and (5) the user presses keys to confirm, and the terminal equipment automatically receives goods.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the electronic product recycling method of any of claims 1-7 when executing the program.
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| CN110909682A (en) * | 2019-11-25 | 2020-03-24 | 北京工业大学 | Waste mobile terminal intelligent identification method based on recovery equipment |
| CN111260088A (en) * | 2020-01-17 | 2020-06-09 | 大亚湾核电运营管理有限责任公司 | Nuclear power station scrap spare part processing method and device, computer equipment and storage medium |
| CN111860891A (en) * | 2020-07-17 | 2020-10-30 | 上海悦易网络信息技术有限公司 | Quotation management method and equipment |
| CN113762542A (en) * | 2021-08-24 | 2021-12-07 | 深圳前海爱客风信息技术有限公司 | Mobile phone recovery system and method |
| FI20217171A1 (en) * | 2021-11-10 | 2023-05-11 | Nordic Mobile Trust Oy | Determining a recycling parameter |
| CN116433228B (en) * | 2023-06-15 | 2023-09-22 | 深圳市爱博绿环保科技有限公司 | Waste electronic product recovery method and recovery system thereof |
| CN117010872A (en) * | 2023-09-27 | 2023-11-07 | 深圳市爱博绿环保科技有限公司 | Waste electronic product recycling method and waste electronic product recycling system |
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