WO2017147842A1 - 商品拍卖系统及方法 - Google Patents

商品拍卖系统及方法 Download PDF

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Publication number
WO2017147842A1
WO2017147842A1 PCT/CN2016/075466 CN2016075466W WO2017147842A1 WO 2017147842 A1 WO2017147842 A1 WO 2017147842A1 CN 2016075466 W CN2016075466 W CN 2016075466W WO 2017147842 A1 WO2017147842 A1 WO 2017147842A1
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WO
WIPO (PCT)
Prior art keywords
information
product
merchandise
auction
commodity
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Application number
PCT/CN2016/075466
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English (en)
French (fr)
Inventor
林哲
Original Assignee
上海开新汽车服务有限公司
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Publication date
Application filed by 上海开新汽车服务有限公司 filed Critical 上海开新汽车服务有限公司
Priority to PCT/CN2016/075466 priority Critical patent/WO2017147842A1/zh
Publication of WO2017147842A1 publication Critical patent/WO2017147842A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce

Definitions

  • the present application relates to a merchandise auction system and, in particular, to a merchandise auction system and method including 3D data for a product.
  • Trading methods based on network information are an important application of e-commerce. It is a special spot transaction method in which the online platform conducts sales or auctions and other commercial activities, and the auction group determines the price and distribution process. This auction system is suitable for all kinds of life department stores. Regardless of the transaction of first-hand or second-hand goods, for some commodities (such as high-priced goods), not only the full disclosure of product information, but also the auxiliary evaluation and valuation of professionals is required.
  • a merchandise auction system includes an input module configured to receive merchandise providing information, merchandise purchase information, and merchandise inspection information; a storage module configured to store the merchandise providing information, the merchandise purchase information, or the merchandise inspection information; The processing module is configured to obtain a product evaluation result and a product auction result according to the product providing information, the product purchasing information or the commodity detecting information; wherein the processing module is further configured to: the commodity detecting information Processing is performed to obtain commodity 3D data.
  • a merchandise auction method comprising the steps of: receiving merchandise providing information, merchandise purchasing information, or merchandise detecting information; storing the merchandise providing information, the merchandise purchasing information, or the merchandise detecting Information; according to the quotient In the product providing information, the product purchasing information or the product detecting information, the product evaluation result and the product auction result are obtained; and the product detecting information is further processed to obtain the product 3D data.
  • the merchandise auction system further includes an output module configured to display at least one of an estimated value of the item, an auction result, or 3D data.
  • the storage information of the storage module of the merchandise auction system further includes at least one rule for processing the purchase information and the merchandise detection information.
  • the rules for processing the merchandise purchase information and the merchandise inspection information stored by the storage module of the merchandise auction system include at least one bidding rule, including a British auction, a Dutch auction, and a first price. Sealed auctions, Vickery auctions, etc.
  • the processing module of the merchandise auction system is configured to process the merchandise inspection information to obtain a merchandise evaluation result based on an evaluation model.
  • the merchandise evaluation result obtained by the processing module of the merchandise auction system is at least one of a merchandise estimate and a merchandise rating.
  • the merchandise providing information includes merchandise provider information and merchandise information.
  • the product information includes at least one of product information, reservation information, price information, social information, and the like.
  • the merchandise purchase information includes merchandise purchaser information and merchandise prices.
  • the commodity detection information includes at least one of appearance detection information, interior inspection information, configuration detection information, year detection information of a commodity, and the like.
  • 1-1 is a structural diagram of a commodity auction system provided by a specific embodiment of the present application.
  • 1-2 is a flow chart of a commodity auction system provided by a specific embodiment of the present application.
  • FIG. 2 is a structural diagram of a server provided by an embodiment of the present application.
  • 3-1 is a structural diagram of an input module provided by an embodiment of the present application.
  • 3-2 is a structural diagram of a detecting unit provided by an embodiment of the present application.
  • 4-1 is a structural diagram of a processing module provided by an embodiment of the present application.
  • 4-2 is a structural diagram of a reservation/allocation unit provided by an embodiment of the present application.
  • 4-3 is a flowchart of a tester appointment/allocation provided by a specific embodiment of the present application.
  • 4-4 is a structural diagram of an evaluation unit provided by an embodiment of the present application.
  • 4-6 are structural diagrams of a 3D imaging unit provided by an embodiment of the present application.
  • 4-7 are flowcharts showing a 3D display of a commodity provided by an embodiment of the present application.
  • FIGS. 4-8 are structural diagrams of a bidding unit provided by a specific embodiment of the present application.
  • FIG. 5 is a flow chart of a specific embodiment of a detector assignment provided by a specific embodiment of the present application.
  • FIG. 6 is a flow chart of a specific implementation manner of a used car quality assessment provided by a specific embodiment of the present application.
  • FIG. 7 is a flow chart of a specific embodiment of a 3D display of an automobile provided by an embodiment of the present application.
  • FIG. 8 is a flow chart of a specific implementation manner of an automobile evaluation provided by a specific embodiment of the present application.
  • FIG. 9 is a flow chart of a specific implementation manner of a commodity auction provided by an embodiment of the present application.
  • FIG. 10 is a flow chart of a specific embodiment of a house directional push/bidding provided by an embodiment of the present application.
  • modules in the system in accordance with embodiments of the present application, any number of different modules can be used and executed on the client and/or server.
  • the modules are merely illustrative, and different aspects of the systems and methods may use different modules.
  • 1-1 is a structural diagram of a commodity auction system according to an embodiment of the present application. It may include, but is not limited to, a merchandise provider 101, a merchandiser 104, a server 103, an information source 105, and the Internet 102.
  • the merchandise provider 101, the merchandisers 104 (104-1, 104-2, ..., 104-n, where n is any natural number greater than or equal to 1) and the server 103 are connected via the Internet 102 to acquire and exchange information.
  • the information of the three parties interacting and the respective information are stored in the information source 105.
  • the way information source 105 obtains information can be direct , may also be indirect, may be centralized or distributed, may be one of the above ways or a combination of several of them.
  • the merchandise provider 101 generally refers to any merchandise provider that provides merchandise for auction or appointment detection within a certain spatial range and time period; the merchandise purchaser 104 generally refers to any merchandise that browses or auctions goods in a certain spatial range and time range.
  • the commodity provider may be any natural person, legal person or other organization that provides goods such as antiques, houses, vehicles, diamonds, etc.; the purchaser of the goods may be any natural person or legal person who wants to purchase any goods such as antiques, houses, vehicles, diamonds, and the like. Or other organizations, etc.
  • the Internet 102 may be a local area network or a wide area network.
  • the transmission medium of the connection device may be a transmission medium in a wired form such as a coaxial cable, a twisted pair cable and/or an optical fiber, or a transmission medium in a wireless form such as air as a transmission medium. It may also be in the form of one or more combinations of the above transmission media.
  • the network topology may be a star network, a ring network, a bus network, a tree network, a cluster star network, a mesh network, or the like, or may be one or a combination of the above structures.
  • the communication method may be in the form of a point-to-point transmission or a combination of two or two of a broadcast transmission network.
  • the server 103 is a server that can implement a commodity auction operation and is equipped with a plurality of processors. It can be a central server, or it can be a server connected through a network. It can be a physical form server or a virtual form server. It can be a server of the above form or a plurality of servers coexisting. It can be a The server can also be composed of multiple servers.
  • Information source 105 generally refers to a source that can provide information to a commodity auction system.
  • the information source 105 is used to store information related to the auction system, for example, product information, similar product letters A combination of one or any combination of registration information, product detection information, product auction information, and the like of the product provider (or the product purchaser).
  • the information source 105 may exist in the form of a single central server, may exist in the form of a plurality of servers connected through a network, or may exist in the form of a large number of personal devices. When the information source exists in the form of a large number of personal devices, the devices can connect the cloud server with the user through a user-generated content, such as uploading text, sound, image, video, etc. to the cloud server. A large number of personal devices together form an information source.
  • the server 103 first acquires the item providing information.
  • the item providing information may include a product provider information and product information.
  • the product provider information may be acquired by the product provider on the server 103, or may be the product provider information that is imported in batches.
  • the product provider information may include, but is not limited to, a user name, a user password, an avatar, and authentication information of the product provider, wherein the authentication information may include, but is not limited to, identity card information, passport information, driver's license information, email address, mobile phone number, landline telephone number. , fax, micro-signal, QQ number or other information that can indicate identity.
  • the product information includes, but is not limited to, a combination of one or more of the product itself information, reservation information, price information, social information, and the like.
  • the information of the product itself may include, but is not limited to, the name, brand, category, model, color, structure, material, shape, size, pattern, date of purchase, age of use, product configuration parameters, depreciation of the product, depreciation, original A combination of one or more of price information, year of manufacture, age of use, and the like.
  • the reservation information may include, but is not limited to, a combination of one or more of a reservation detection time, a reservation detection location, a reservation inspector, an appointment detection order number, and an appointment detection change.
  • the grid information may include, but is not limited to, an item's expected sale price, a price tolerance floating range, and the like.
  • the social information may include, but is not limited to, environmental information used by the commodity, traffic information, and the like, such as surrounding facility information of the house, bus route information, and subway line information.
  • the manner in which the product provider information and the product information are obtained can be input by manual input and/or scan.
  • the manual input may be manually input by the product provider and/or its agent, and the input manner may include, but is not limited to, one or a combination of handwriting input, gesture input, voice input, video input, and the like.
  • the scanning input mode may include, but is not limited to, one or a combination of two-dimensional code scanning, barcode scanning, picture scanning, fingerprint scanning, magnetic strip scanning, chip scanning, and the like.
  • the server 103 may perform further processing operations on the product information, which may include, but is not limited to, information classification, information conversion, information matching, creation of an appointment, construction of a product 3D display, construction of an auction, directional push, product grade evaluation, and merchandise. A combination of one or more of value assessment, construction model, and the like.
  • the server 103 can acquire the item purchase information.
  • the item purchase information may be a plurality of item purchaser information and price information of the item purchaser participating in the auction.
  • the product purchaser information may include, but is not limited to, a user name, a user password, an authentication information, and the like of the product purchaser, wherein the authentication information may include, but is not limited to, identity card information, passport information, driver's license information, email address, mobile phone number, landline telephone, Fax, micro-signal, QQ number or other information that can indicate identity.
  • the price information of the commodity purchaser participating in the auction refers to the expected price information of the commodity purchaser participating in the auction, the price information of the auction commodity, and/or the price section information acceptable by the purchaser for a particular type of commodity.
  • the manner in which the merchandise purchase information is obtained may be manually entered and/or Scan the input.
  • the manual input may be manually input by the product provider and/or its agent, and the input manner may include, but is not limited to, one or a combination of handwriting input, gesture input, voice input, video input, and the like.
  • the scanning input mode may include, but is not limited to, one or a combination of two-dimensional code scanning, barcode scanning, picture scanning, fingerprint scanning, magnetic strip scanning, chip scanning, and the like.
  • step S122 the server 103 processes the acquired information, and completes the merchandise auction in step S123 to display the auction result.
  • the operation of processing the information may include, but is not limited to, the introduction of the commodity providing information and/or the commodity purchasing information, the display of the commodity, the selection of the auction model, the creation of the auction price model, and the calculation and display of the auction bidding result.
  • the manner in which the merchandise is displayed may be one or a combination of text, sound, image, video, and the like.
  • Text display you can use some keywords, you can also use a paragraph or paragraphs of text to display the goods.
  • the sound display can be used to display the goods in a voice form.
  • Image display you can use 2D images or 3D images to display product information.
  • the auction result may be just price information and/or bid winning winning purchase information, and may be purchase information of all merchandisers who participate in the auction or a portion of the merchandiser who participates in the auction.
  • the display information of the auction result may be the default setting of the server 103, or may be set by the product purchaser 104.
  • the product purchaser 104 is set on the server 103 before the auction, and whether the auction information is displayed to other parties, and the other party may be the product provider 101 or other product purchasers.
  • FIG. 2 is a schematic structural diagram of the server 103 according to some embodiments of the present application.
  • the server 103 includes an input module 201, a processing module 203, an output module 204, and a storage module 202.
  • the connection between modules in the system can be wired or wireless. Any module may be local to the system or remotely connected to other modules over the network.
  • the correspondence between the modules and the modules may be one-to-one or one-to-many.
  • one processing module 203 is connected to multiple input modules 201 at the same time, or may be many-to-many, for example, multiple.
  • the input module 201 exchanges information with the plurality of storage modules 202.
  • the server 103 can store the acquired information or processing information directly in the information source 105 without including a storage module 202.
  • the input module 201 can be configured to receive information from the outside world, including but not limited to merchandise provider information, merchandise purchaser information, merchandise A combination of one or more of information, detection information, auction information, time information, location information, social information, and the like.
  • the information can be obtained in real time or periodically, or in combination.
  • the information can be obtained in a centralized or distributed manner.
  • the input of information may be imported by machine, or may be manually input (for example, but not limited to voice input, image input, handwriting input, video input, etc.), or network interception (for example, but not limited to video, audio, Scanning input for images, text, animation, etc., etc., may also employ scanning input (for example, including but not limited to barcode scanning, two-dimensional code scanning, magnetic strip scanning or chip scanning, etc.).
  • manually input for example, but not limited to voice input, image input, handwriting input, video input, etc.
  • network interception for example, but not limited to video, audio, Scanning input for images, text, animation, etc., etc.
  • scanning input for example, including but not limited to barcode scanning, two-dimensional code scanning, magnetic strip scanning or chip scanning, etc.
  • FIG. 3-1 is a structural diagram of the input module 201, according to some embodiments of the present application.
  • the input module 201 may include a commodity providing information receiving unit 301, a commodity purchasing information receiving unit 302, a detecting information receiving unit 303, and a detecting unit 304.
  • the item providing information receiving unit 301 can be configured to receive information input from the item provider.
  • the product provider 101 can input information to the article providing information receiving unit 301 through a smart device such as a mobile phone, a tablet computer, a notebook computer, an in-vehicle computer, smart glasses, a smart watch, or a wearable device.
  • the information input by the product provider 101 may include, but is not limited to, information of the product provider, product information, and the like.
  • the product provider information may include, but is not limited to, a user name of the product provider, a user password, an avatar, authentication information, and personal preference information of the product provider.
  • the product provider personal preference information may include, but is not limited to, one or a combination of the types, brands, colors, materials, configurations, and the like of the products.
  • the product information may include, but is not limited to, a combination of one or a combination of the product itself information, the reservation information, the price information, the social information, and the like.
  • the information of the product itself may include, but is not limited to, the name, type, brand, model, construction, date of purchase, A combination of years, colors, shapes, sizes, patterns, product configuration parameters, materials, product depreciation, and expected value of the product's selling price.
  • antique commodity information may include, but is not limited to, one or a combination of antique production age, antique material, antique origin, historical value, cultural value, scientific value, and integrity of antique preservation.
  • second-hand housing information may include but is not limited to second-hand housing address, building time, floor, number of rooms, room layout, house area, orientation Traffic conditions, etc., where traffic conditions may include bus stations, subway stations, and bus stops or subways.
  • the input module 201 can be used to receive other information, such as the price of the first-hand item corresponding to the second-hand item, and the functional difference.
  • This system can also be used for auctions of new products, such as first-hand houses, first-hand cars, and first-hand jewelry.
  • the reservation information may be a detection time reserved by the product provider, an acceptable time threshold, a detection location, a tester information, and the like. Wherein, the time threshold is when the tester acceptable to the product provider arrives at the inspection location and the product provider makes an appointment.
  • the form of the information may be one or a combination of pictures, text, video, voice, animation, and the like.
  • the input module 201 may further include a commodity purchase information receiving unit 302 for receiving information input by the commodity purchaser 104.
  • the purchaser can input information to the item purchase information receiving unit 302 through smart devices such as a mobile phone, a tablet computer, a notebook computer, a car computer, smart glasses, a smart watch, and a wearable device.
  • the information input by the purchaser may include, but is not limited to, purchaser information, purchaser price information, product information, and the like.
  • the purchaser information may include a purchaser user name, a user password, a purchaser registration information, a purchaser's expected purchase information, a purchaser's past inquiry information, a purchaser's past transaction information, a purchaser's interest product information, and a purchaser price information.
  • the user preference information may include, but is not limited to, a likes and dislikes colors, likes and dislikes, and the like.
  • the purchaser price information may be expected price information proposed by the purchaser for purchasing a specific product, price information of the auction item, and/or price range information acceptable by the purchaser for a specific type of commodity, and the like.
  • the input module 201 further includes a detection information receiving unit 303 for receiving commodity detection information.
  • the product detection information may include, but is not limited to, one or a combination of the appearance detection information of the product, the interior detection information of the product, the configuration detection information of the product, the year detection information of the product, and the like.
  • the antique commodity inspection information may include, but is not limited to, one or a combination of the authenticity, the manufacturing age, the antique material, the antique origin, the historical value, the cultural value, the scientific value, and the complete condition of the antique preservation.
  • the complete condition of the preservation of the antiques may include, but is not limited to, whether there are cracks, integrity, deformation, fading, aging, and the like.
  • Used car goods inspection Measurement information may include, but is not limited to, paint lacquer flatness, color, window glass, headlights, vehicle crevices, engine, water tank, interior scratches or stains, immersion, breakage, seat belt system, airbag system, body Depreciation of the stability system, brake system, wiper, instrument system, electric window, driving system, etc., inspection of usage and related parameters, whether there are violation records, whether there are pending violation records, whether there is complete transfer information, etc.
  • the second-hand housing commodity testing information may include, but is not limited to, the layout of the house, the decoration of the property, the cracks on the wall, the door and window, and the lighting.
  • the input module 201 further includes a pre-processing unit 306. After receiving the information of each receiving unit of the input module 201, the pre-processing operation is performed, and the pre-processed information is transmitted to the processing module 203 and/or the storage module 202.
  • the pre-processing operation of the information after the pre-processing unit receives the information may include, but is not limited to, one or a combination of data cleaning, data integration, data transformation, data reduction, image purification processing, image denoising, and the like.
  • each information receiving unit may be integrated into one information receiving unit according to actual needs, or some two or more information receiving units may be integrated into one information receiving unit.
  • the pre-processing unit 306 may not be included, and the received detection information is directly transmitted to the processing module 203 for information processing.
  • the input module 201 includes a detecting unit 304 for detecting an item.
  • the detecting unit 304 may be a detecting device or a plurality of detecting devices, and may be a detecting device or a combination of a plurality of detecting devices. In a In some embodiments, the detecting unit 304 may further include an image detecting component 304-1 for commodity image detection.
  • the detection method may be one or a combination of image line detection, image edge detection, image change detection, etc., and the detection algorithm may include but is not limited to a push edge detection algorithm, an image segmentation algorithm, an image compression algorithm, and an image enhancement algorithm. A combination of one or more of an image stitching algorithm, an image matching algorithm, and the like.
  • Detection unit 304 may also include a video detection component 304-2 for video detection of merchandise.
  • the video detection component can be a camera device.
  • the video detection component can be either non-contact or triggered.
  • the triggering manner may include, but is not limited to, microwave triggering, infrared triggering, coil triggering, and the like.
  • the detecting unit 304 may further include an ultrasonic detecting component 304-3, a radar type detecting component 304-4, a loop coil type detecting component 304-5, and the like for detecting defects of the article.
  • the detecting unit 304 may transmit the commodity detecting information to the pre-processing unit 306 of the input module 201 in real time or periodically, and the form of the transmission may be centralized or distributed.
  • the input module 201 may further include a detecting device interface unit 305 connected to an external detecting device to acquire detection data.
  • the detecting device interface unit 305 can be connected to a detecting device of the outside world or can be connected to a plurality of detecting devices, and can be connected to one detecting device or can be connected to multiple detecting devices.
  • the detection device interface unit 305 can transmit the received detection information to the pre-processing unit 306 of the input module 201 in real time or periodically after acquiring the commodity detection information detected by the detection device.
  • the form of the transmission may be centralized or distributed.
  • the detecting means connected by the detecting unit 304 and/or the detecting device interface unit 305 may detect the goods in an overall manner or a sub-area detecting, or may be a combination of the above detecting modes.
  • the commodity may be divided into a plurality of relatively independent zones, and the detection items are determined in each zone.
  • the partition can be divided into multiple ways, which can be divided by function: if the goods are used vehicles, the vehicles are divided into outer layers according to functions, interior decoration areas, operation control areas, trunk areas, power control areas, etc.; It is divided into outer wall area, household area, living room area, bedroom area, kitchen area, bathroom area, etc.
  • the commodity is antique, which is divided into appearance area, endodermal area, inner cavity area and the like. It can also be partitioned by structure.
  • vehicle-like goods can be divided according to its structure: front block area, right front wheel area, left front wheel area, right front door area, left front door area, right rear door area, left rear door area, Right rear wheel area, left rear wheel area, trunk area, bridge area, interior area, etc.
  • the processing module 203 is configured to receive information from the input module 201, the storage module 202, and/or the information source 105, and perform processing operations on the information.
  • FIG. 4-1 is a block diagram of the processing module 203, in accordance with some embodiments of the present application.
  • the processing module 203 shown in FIG. 4-1 includes a classification processing unit 401 and a processor group 402.
  • the classification processing unit 401 is configured to classify the received information from the input module 201 and/or the information source 105 and the storage module 202, and the classification processing operations are classified according to different subunits included in the processor group 402.
  • the information for reservation/allocation is transmitted to the reservation/allocation unit 402-1, such as reservation time, reservation location, reservation method, product provider contact information, tester available time list, tester information, etc.;
  • Information is transmitted to the evaluation unit 402- 2, for example, product information, product detection information, commodity price information, similar product information, similar commodity price information, etc.;
  • 3D imaging information is transmitted to the 3D imaging unit 402-3, such as a view of the parties, video, product size, commodity components Views, videos, etc. of the parties; transfer the information for the auction bid to the bidding unit 402-4, such as the price of the purchaser, the expected price of the product provider, the price of the new product, the price information of the commodity, the price information of the same commodity Wait.
  • Processing operations may include, but are not limited to, information classification, information conversion, information matching, creation of appointments, construction of commodity 3D presentations, construction of auctions, targeted pushes, merchandise grade assessments, merchandise value assessments, build models, and the like.
  • the reservation/allocation unit 402-1 may include a database 420, a processing/judging unit 421, and an information creating unit 422.
  • the database 420 may be used to store the inspector allocation rules and the inspector information, and may include, but is not limited to, the inspector basic information, the inspector schedule list, and the like.
  • the basic information of the examiner may include but is not limited to the examiner's photo, name, gender, contact information (telephone, mail, etc.), test experience, tester level, tester score, detectable product type, and the like. For the sake of understanding, the following is an example of a tester's score.
  • the inspector score may be calculated according to the scoring index and the weight thereof, wherein the scoring index may include, but is not limited to, testing experience, inspector level, customer history evaluation, etc., wherein the weight setting method may include, but is not limited to, subjective Empirical method, primary and secondary indicator queuing classification, expert investigation method, etc.
  • a list of examiner schedules may also be stored in database 420. The inspector schedule list may include, but is not limited to, a combination of one or more of the instructor's reserved time, unreserved time (available time), appointment change, leave, vacation, and the like.
  • the storage device used for data storage may be one or a combination of a network cloud disk, a disk array, a CD/DVD drive, a tape drive, or a removable storage medium.
  • the removable storage medium may include, but is not limited to, a USB flash drive, a removable hard disk, a floppy disk, an optical disk, a memory card, and the like.
  • the reservation/allocation unit 402-1 may further include a processing/judging unit 421 for acquiring, processing, scheduling information of the product provider from the classification processing unit 401, commodity information, and/or acquisition from the database 420. Detector information and can be calculated and/or judged.
  • the data processing mode of the processing/judging unit 421 is differentiated according to the structure of the processing device, and may be an online processing mode or an offline processing mode; and may be a batch processing method or a time sharing processing method according to a data processing time allocation manner.
  • the way of processing the track can also be an interactive processing method.
  • the processing operations of the acquired information by the processing/judging unit 421 may include, but are not limited to, data conversion, data grouping, data organization, data calculation, data storage, data retrieval, data sorting, and the like.
  • the data calculation may include, but is not limited to, operations of adding, subtracting, multiplying, and dividing four operations, AND, OR, NAND, XOR, and the like, and operations such as shifting and complementing.
  • Processing/judging unit 421 may comprise one or more processors, which may be any general purpose processor, such as a programmed programmable logic device (PLD), or an application specific integrated circuit (ASIC), or a microprocessor.
  • PLD programmed programmable logic device
  • ASIC application specific integrated circuit
  • the device can also be a system chip (SoC) or the like.
  • the reservation/allocation unit 402-1 further includes an information creation unit 422.
  • the information creation unit 422 can be configured to create a reservation order in accordance with the information processed by the processing/judging unit 421, and send the generated reservation order to the output module 204.
  • the above description is only for the reservation/allocation unit 402-1 of one particular embodiment. It will be understood that those skilled in the art, after understanding the basic principles of the reservation allocation unit, may perform the form and details of the specific manner and steps of implementing the reservation/allocation unit without departing from this principle. Various corrections and changes.
  • the information creation unit may be integrated into the processing/judging unit 421 according to actual needs; the database 420 is not included, and the information stored in the database 420 is stored in the storage module 202. Variations such as these are within the scope of the present application.
  • Figure 4-3 is a surveyor appointment/allocation flow diagram in accordance with some embodiments of the present application.
  • the reservation information and the inspector information from the classification processing unit 401, the database 420, and/or the storage module 202 are acquired.
  • the reservation information may include, but is not limited to, a combination of one or more of a reservation time, a reservation place, a reservation detection product name, a product type, a product model, and the like.
  • the tester information may include, but is not limited to, a combination of one or more of the tester's detectable product category, the tester's grade, the tester's available time, the tester's appointment time, the examiner's vacation, the leave of absence, and the like.
  • step S431 it is judged by the processing/judging unit 421 whether or not the reservation information matches the examiner information. If the above information matches, the process proceeds to step S432, and the product reservation information is pushed to the tester and the product provider. If not, the process proceeds to step S433, and the product reservation information is not pushed to the tester or the product provider.
  • the item reservation information pushed to the inspector may include, but is not limited to, item provider basic information (which may include but is not limited to the name of the item provider, a combination of one or more of a product category, a detection address, a detection time, and the like; wherein the product reservation information pushed to the product provider may include but is not limited to the basic information of the examiner (may include but not It is limited to one or a combination of the tester's photo, the tester's name, the gender, the contact information, the test experience, the tester's grade, the tester's score, etc.), the test product category, the test address, the test time, and the like.
  • the product reservation information pushing method may be one or a combination of a client, a mail, a short message, a telephone, and the like.
  • step S431 will be described in detail below.
  • the matching manner of step S431 may be based on a single criterion or may be based on multiple criteria.
  • parallel or serial structural relationships can be adopted between different criteria. In the serial structural relationship, even if the matching result of only one criterion is NO, the flow ends, and the product reservation information is not pushed to the examiner or the product provider. In the parallel structural relationship, as long as the matching result of one criterion is YES, the flow ends, and the product reservation information is pushed to the tester and/or the product provider.
  • the matching manner may also be a comprehensive judgment scoring process based on a plurality of criteria. For example, by assigning different weights to different criteria, a composite score is obtained, which is compared with a predetermined threshold to determine the matching result.
  • the matching method can also be an optimization selection process based on the overall system results. For example, after determining a plurality of examiners as candidates, the criteria are further selected, the judgment/score process is continued, and the subsequent examiners are further screened until one or more of the optimal examiners are finally selected.
  • the form of the criterion judgment may include, but is not limited to: comparing one feature value in the criterion with one of the criteria; determining whether a feature value is a range of values falling into the criteria; an eigenvalue can be ranked or assigned a score according to the ranking/score rules in the criteria, and compared to a threshold of a sequence or score; determining whether the feature result triggers the criterion An event; determining whether the feature result meets a certain pattern in the criteria, etc.; or a combination of the above.
  • the characteristic values of the criteria may include, but are not limited to, one or a combination of time, location, item type, inspector level, inspector rating, and the like. For example, first, the type of the detected item of the matching inspector is consistent with the type of the item in the reservation information, and the reservation time is compared with the available time of the inspector. If the available time of the examiner falls within the interval of the reserved time, the result is considered to be matched, and the product reservation information is transmitted; if the result is inconsistent, it is determined that the examiner does not meet the criterion requirement of the commodity detection reservation, and the determination process is ended.
  • the evaluation unit 402-2 may include a calculation/processing unit 440 and an evaluation information generating unit 441.
  • the calculation/processing unit 440 can be configured to acquire commodity detection information from the classification processing unit, commodity information from the storage module 202, similar commodity information, similar commodity price information, commodity evaluation rules, evaluation criteria, commodity valuation models, and the like. One or a combination of several.
  • the product detection information may include, but is not limited to, one of a product type, a brand, a model, a purchase date, a service life, a color, a shape, a product size, a product configuration parameter, a material, a product depreciation, and an expected price of the product. Or a combination of several.
  • the submitted item information will also vary based on the type of item.
  • antique goods information may include, but is not limited to, antique production age, antique materials, antique origin, historical value, cultural value, section Research the value, the complete situation of the preservation of antiques.
  • the complete condition of the preservation of the antique may also include whether there is a combination of one or a combination of cracks, integrity, deformation, fading, aging, etc.; for example, the information of used car products may include but is not limited to used cars. Brand, model, color, mileage, driving years, configuration, vehicle displacement, overhaul, overhaul, major collision, window glass, lamp, vehicle gap, engine, water tank, interior Traces or stains, immersion, damage, seat belt system, airbag system, body stability system, brake system, wiper, instrument system, power window, driving system, whether there is a violation record, whether there are pending violation records, whether there is A combination of one or more of the complete transfer information; for example, second-hand housing information may include, but is not limited to, second-hand housing address, building time, floor, number of rooms, room layout, floor space, orientation, Traffic conditions, shopping conditions, etc.
  • the traffic situation may include the presence or absence of a bus stop, a subway station, and a distance from a bus stop or a subway station.
  • the shopping situation may include one or more of a supermarket, a shopping mall, and a distance from a supermarket or a shopping mall. combination.
  • the calculation/processing unit 440 can also be used to calculate, fit, convert, categorize, etc. the acquired information. For example, the acquisition area weight weights the area score G i to calculate the item evaluation score G all . In some embodiments, the item evaluation score can be obtained by the following formula, G all :
  • the product new rate Rank can also be calculated by obtaining the product evaluation score.
  • the commodity new rate Rank can be obtained by the following formula, Rank:
  • G imax represents the maximum score value of the i-th region.
  • the calculation/processing unit 440 can also evaluate the commodity price P e using a cost discount method.
  • the commodity price P e can be derived by the following formula, P e :
  • P o represents the original price of the commodity
  • the product evaluation price P e is calculated by multiplying the commodity new rate Rank by adding the commodity added value P a (such as the existing value of the insurance, the existing value of the decoration, and the like).
  • the evaluation unit 402-2 may further include an evaluation information generating unit 441 for generating the evaluation result calculated and processed by the calculation/processing unit 440, and transmitting the evaluation result to the output module 204.
  • the evaluation result may be an evaluation level of the commodity, wherein the evaluation level may include, but is not limited to, a five-level division, a percentage division, and the like, and/or an evaluation of the value of the commodity.
  • the evaluation result may be in the form of one or several combinations of text, images, video, animation, and audio.
  • the image may be a 2D image or a 3D image, or may be a combination of the two images.
  • Figures 4-5 are flow diagrams of commodity evaluation, in accordance with some embodiments of the present application.
  • the calculation/processing unit 440 acquires the commodity information and the detection information from the classification processing unit 401.
  • the product information may include, but is not limited to, a product type, A combination of one or more of a product model, a product name, a product configuration parameter, a product usage period, a similar product information, a similar product price information, a product structure, a product environmental information, and a commodity social information.
  • the detection information may include, but is not limited to, one or a combination of the appearance of the product, the use of the product, the condition of the component of the product, and the like.
  • the item detection items may also be different for different items.
  • antique goods one or several of which may include, but are not limited to, the authenticity of antique goods, the age of manufacture, the material of antiques, the historical value of antique origin, the cultural value, the scientific value, and the complete preservation of antiques.
  • the complete condition of the preservation of the antiques may also include, but is not limited to, whether there is one or a combination of a crack, a completeness, a deformation, a fading, an aging, or the like.
  • car products can include but not limited to car paint leveling, color, window glass, car lights, vehicle gaps, engine, water tank, interior with or without scratches or stains, soaking, breakage, seat belt system, safety Airbag system, body stability system, brake system, wiper, instrument system, electric window, driving system, whether there are violation records, whether there are pending violation records, whether there is one or several of the complete transfer information, etc. combination.
  • second-hand housing products may include, but is not limited to, the combination of the construction of the house, the decoration of the property, the presence or absence of cracks in the wall, the condition of the doors and windows, the lighting conditions, and the like.
  • step S451 the calculation/processing unit 440 acquires a combination of one or more of the commodity detection information weight distribution rule, the commodity valuation model, the commodity evaluation standard, the similar commodity information, the similar commodity price information, and the like from the storage module 202.
  • the weight assignment rule may be a configuration parameter setting for the product, or may be set for the purchaser's preference information and/or demand information, or may be an allocation rule set in combination with the above two types of information.
  • the product evaluation result may be an evaluation grade of the whole product and/or a specific area.
  • the rating level may include, but is not limited to, a rating system or a score system, and the like.
  • the rating system may be any number of levels including two levels and above, and may include, but is not limited to, a three-point system, a five-level system, a ten-level system, and the like, a five-point system, a percentage system, and the like.
  • the score system may be any number of points system including two points and above, and may include, but is not limited to, a three-point system, a five-point system, a ten-point system, a percentage system, and the like.
  • the five-level division can define the evaluation level as a five-level system, which is represented by 5 stars, 4 stars, 3 stars, 2 stars, and 1 star. Among them, you can use 5 stars to indicate the closest new product, and 1 star to indicate the serious damage.
  • the percentage system can divide the evaluation level of the commodity by the evaluation score. Among them, the higher the score, the closer the commodity is to the new product, and the lower the score, the more serious the damage to the product.
  • the appearance of the vehicle may define the star level by way of Table 1.
  • the five-star ( ⁇ ) star rating standard is the original paint of the whole car, without any scratches
  • the four-star ( ⁇ ) star rating is The original paint of the whole car has only slight scratches that can be polished and removed
  • the three-star ( ⁇ ) star rating standard is that the painting area is more than two doors, with many slight scratches and slight depressions
  • ( ⁇ ) The star rating is that the painting area is more than four doors, with moderate scratches or concave ponds, and slight rust
  • one star ( ⁇ ) star rating is for the entire car painting. There are many scratches, large areas of depression, heavy rust, and cracks.
  • the interior of the vehicle can define the star level by way of Table 2:
  • the item evaluation result may also be a value assessment result of the item as a whole and/or a particular area.
  • the value assessment can be implemented in a variety of ways.
  • the valuation can be directly obtained based on the commodity inspection information plus the experience of the appraiser, or directly based on the main inspection information of the customer and the experience of the appraiser. Get an estimate.
  • the valuation can also be estimated by the valuation model of the commodity.
  • the valuation model of the commodity may include, but is not limited to, a combination of one or more of a cost discount method, a replacement cost method, a revenue present value method, a current market price method, a clearing price method, and the like.
  • the valuation can be directly derived from a price, or an intermediate result can be obtained by discounting the intermediate result.
  • the 3D imaging unit 402-3 may include a 3D imaging processor 460 for acquiring information from the classification processing unit 401 and the storage module 202 to construct a 3D image of the item.
  • the storage module 202 can be used to store commodity information, a 2D to 3D image conversion method, and the like.
  • the product information may include, but is not limited to, one or more of a product name, a product model, a product category, a product structure, a product configuration, a product usage parameter, image information of each party of the product, and image information of each party of the product part. The combination.
  • the 2D to 3D image conversion method may include, but is not limited to, a plane homography method, a motion feature based depth estimation method, a motion structure inference method, a focus degree method, a vanishing and extinction based method, and a motion parallax based method.
  • a semantic information based method a learning based method thereof, a planar parallax based method, an occlusion relationship based method, and the like.
  • the 3D imaging processor 460 can also include a pre-processing unit 460-1 for pre-processing the acquired image information.
  • the pre-processing may include, but is not limited to, one or a combination of image digitization, image geometric transformation, image normalization, image smoothing, image restoration, image enhancement, and the like.
  • the image normalization method may be one or a combination of gray normalization, geometric normalization, transformation normalization, and the like.
  • the image smoothing method may be one or a combination of a median method, a local averaging method, a k-nearest neighbor averaging method, and a spatial frequency domain bandpass filtering method.
  • the image enhancement technique may employ one or a combination of contrast broadening, logarithmic transformation, density stratification, and histogram equalization.
  • the 3D imaging processor 460 also includes an image segmentation unit 460-2 for separating each object of the image separately.
  • the image segmentation unit 460-2 segmentation algorithm may be a combination of one or a combination of a closed value based segmentation method, an edge detection based segmentation method, a region extraction based segmentation method, a specific theory segmentation method, and the like.
  • the specific theory may include, but is not limited to, one or a combination of graph theory, fuzzy theory, wavelet analysis, wavelet transform, neural network, genetic algorithm, rough set theory, mathematical morphology, gray system theory, and the like.
  • the 3D imaging processor 460 further includes a depth image generating unit 460-3 for acquiring depth information of the image and generating a depth image according to a certain imaging method.
  • the depth image generation unit includes a depth imaging sensor.
  • the depth imaging sensor may be one or a combination of an active depth imaging sensor, a passive depth imaging sensor, a contact depth imaging sensor, a non-contact depth imaging sensor, and the like.
  • the imaging method can be a lidar depth imaging, a coordinate measuring machine method, a moiré strip A combination of one or more of a grain method, a stereoscopic vision technique, a point ranging method, a geometric optical focusing method, a Moire topology technique, a holographic interferometry method, a Fresnel diffraction technique, and a structured light method.
  • laser radar depth imaging can realize continuous automatic data acquisition by laser array distance scanner (also known as laser radar), and laser radar depth imaging can be divided into scanning imaging and non-scanning imaging.
  • the coordinate measuring machine method uses a coordinate measuring machine to establish a mechanical coordinate system with the platform of the measuring instrument as a reference plane, collects the coordinate values of the measured points on the surface of the measured object, and projects it into the spatial coordinate system to construct a spatial model of the measured object.
  • Stereo vision technology can be divided into binocular stereo vision technology and multi-view stereo vision technology.
  • the binocular stereo vision technology is based on the principle of parallax and uses an imaging device to acquire two images of the object to be measured from different positions, and obtains a method for obtaining three-dimensional geometric information of the object by calculating a positional deviation between corresponding points of the image.
  • the point ranging method can be further divided into a pulse method, a phase method, and an angle measurement method.
  • the principle of the geometric optical focusing method is that when the focal length is adjustable, the focal length is changing, and a certain part of the image is in the clearest position, and the distance (object distance) of this part can be calculated.
  • Moire topology technology is to project the image of the grating or the image of the grating onto the three-dimensional object.
  • the light wave reflected by the object is a grating modulated by the shape of the object, that is, the deformed grating, and the deformed grating is superimposed on the reference grating to generate Moire stripes, thereby measuring the object. shape.
  • Holographic interferometry is an interference spectroscopy method that uses hologram to obtain the interference fringe pattern generated by the interference of the wavefronts before and after the deformation of the object, and analyzes the deformation of the object.
  • the holographic interferometry can be divided into real-time holographic interferometry. Single exposure method), double exposure holographic interferometry, time-averaged holographic interferometry, dual-wavelength interferometry, and double-pulse stroboscopic holographic interferometry.
  • Fresnel diffraction refers to the diffraction of light waves in the near-field region, and the Fresnel diffraction technique uses the principle of Fresnel diffraction to acquire the target image information.
  • the structure is to project a controllable light spot, light bar or smooth surface structure to the surface of the measured object by a structured light projector, and obtain an image by an image sensor (such as a camera), and calculate the three-dimensional shape of the object by using a triangular principle through a system geometric relationship. coordinate.
  • the method of structured light imaging can be further divided into a light strip method, a grid method, a circular light strip, a cross line method, a thick light strip, a spatial coding template, a color coding strip, a density ratio, and the like.
  • the 3D imaging processor 460 further includes a 2D to 3D conversion device 460-4 that converts data of a 2D image into data of the 3D image.
  • the 3D imaging unit 402-3 further includes a 3D image generation unit 461 for acquiring 3D image data of the 3D imaging processor 460.
  • the 3D image data can be any picture with 3D visual effects, including but not limited to 3D graphics and 3D images.
  • a 3D graphic can be any picture drawn by a computer.
  • the 3D image is a stereoscopic image that is seen by parallax, and uses the principle of human stereoscopic vision to enable the viewer to obtain a three-dimensional image from the video medium, thereby making the audience feel immersive.
  • 3D images can include 3D still images and 3D motion images.
  • the 3D still image may include a 3D picture, a 3D picture, and the like.
  • 3D motion images may include, but are not limited to, 3D video, 3D animation, and the like.
  • the 3D image generation unit 461 may generate one of the above 3D images, or may simultaneously generate a plurality of the above 3D images.
  • the generated 3D image may also be transmitted to output module 204.
  • the above description is only about the 3D imaging unit 402-3 of one particular embodiment. It can be understood that, after understanding the basic principle of the 3D imaging unit 402-3, it is possible for the specific manner and steps of implementing the 3D imaging unit 402-3 to be performed without departing from this principle. Various repairs in form and detail Positive and change.
  • one or more sub-units of the 3D imaging construction unit 460 may be directly configured in the classification processing unit 401.
  • the subunits in the classification processing unit 401 may also be directly integrated in the 3D imaging construction unit 460 without division.
  • the 3D imaging unit 402-3 may not include a 3D imaging construction unit 460, and its corresponding processing operation may be performed by the classification processing unit 401. Variations such as these are within the scope of the present application.
  • the 3D image construction unit 460 can be used to acquire commodity information, commodity detection information, 3D image construction method, 3D image construction model, and the like from the classification processing unit 401 and/or the storage module 202.
  • the product information may include, but is not limited to, a product type, a product model, a product name, product shipment information, a product configuration parameter, a product usage period, a similar product information, a similar product price information, a product structure, a product environment information, A combination of one or more of commodity social information and the like.
  • the detection information may include, but is not limited to, one or a combination of the appearance of the item, the usage of the item, the condition of the item of the item, and the like.
  • different merchandise inspection items can be set for different merchandise.
  • the detection items may include, but are not limited to, one or a combination of the authenticity of the antique goods, the age of manufacture, the antique material, the antique origin, the complete condition of the antique preservation, and the like.
  • the complete condition of the preservation of the antique may include, but is not limited to, whether there is one or a combination of a crack, a completeness, a deformation, a fading, an aging, or the like.
  • inspection items may include, but are not limited to, paint flatness, color, window glass, car lights, vehicle gaps, engines, water Whether there are scratches or stains on the box and interior, soaking, damage, seat belt system, airbag system, body stability system, brake system, wiper, instrument system, electric window, driving system, whether there is any violation record, whether it is to be treated A combination of one or more of the processed violation records, whether there is complete transfer information, and the like.
  • testing items may include, but are not limited to, the combination of the construction of the house, the decoration of the property, the presence or absence of cracks in the wall, the condition of the doors and windows, and the lighting conditions.
  • the method for constructing a 3D image may include, but is not limited to, a plane homography method, a motion feature based depth estimation method, a motion structure inference method, a focus degree method, a method based on vanishing and extinction, a motion parallax based method, A combination of one or more of a semantic information based method, a learning based method thereof, a planar parallax based method, an occlusion relationship based method, and the like.
  • the commodity information and/or the detection information may be processed in combination with the acquired commodity information and the 3D image construction method to construct a 3D image.
  • the processing operations may include, but are not limited to, one or a combination of image preprocessing, image segmentation, image depth information generation, image rendering, and the like.
  • Image pre-processing may include, but is not limited to, one or a combination of image digitization, image geometric transformation, image normalization, image smoothing, image restoration, image enhancement, and the like.
  • step S473 information of a 3D image of the constructed product is acquired, and a 3D image of the product is generated.
  • step S470 The method for constructing the 3D image in step S471 can be performed in the same order or simultaneously.
  • some post-processing steps may also be added. Variations such as these are within the scope of the present application.
  • the bidding unit 402-4 may include an auction model construction unit 480 for acquiring product information (including brand, color, structure, etc.), valuation information, product evaluation information, and the like from the classification processing unit 401.
  • the auction rules may be an open bid auction or a sealed bid auction.
  • the open bid auction may include, but is not limited to, a British auction, a Dutch auction, etc.
  • the sealed bid auction may include, but is not limited to, a first price sealed auction, a Vickery auction, and the like.
  • the British auction is also called the open price auction, the buyers openly bid each other, each bid is higher than the previous bid, when no one is willing to continue bidding, the auction ends, the highest bidder must pay the reported s price.
  • Dutch auctions are also known as open price auctions. The auctioneer starts at a relatively high price and then gradually lowers until someone is willing to accept the price offered by the auctioneer. The winner needs to pay the last announced price.
  • the first-price sealed auction means that all buyers must submit a sealed quote at the same time, and the highest bidder pays the price quoted.
  • the Vickery auction is also known as the second price sealed auction, which is basically the same as the first price sealed auction, but wins The price that the buyer needs to pay is the second highest price.
  • auction model construction unit 480 is also used to build a price model.
  • the bidding unit 402-4 may further include a calculating unit 481 for inputting the price information of the purchaser to the price model generated by the auction model building unit 480, and calculating the final result.
  • the bidding unit 402-4 may further include an auction result generating unit 482 for generating final bidding results and matching bid winners' information (which may include but not limited to user names, price information, etc.), and may The above information is transmitted to the output module 204.
  • the above description is merely an auction unit structure for a particular embodiment. It can be understood that, after understanding the basic principle of the bidding unit 402-4, it is possible for the specific manners and steps of implementing the bidding unit 402-4 to be in a form and manner without departing from the principle. Various modifications and changes in details, such as subunits in the bidding unit 402-4, can be directly integrated. For example, the calculation unit 481 and the auction result generation unit 482 may be omitted, and the auction model construction unit 480 may directly calculate the bid result, match the information of the bid winner, and transmit the above information to the output module 204. Variations such as these are within the scope of the present application.
  • the item information can be acquired from the sort processing unit 401.
  • the item information may include, but is not limited to, a brand of the item, an expected price of the item provider, and/or an estimate of the item of the storage module 202, a price of the same item, a 3D image of the item, a 3D video of the item, and an auction rule of the item. , auction start and end time, auction notices, etc. One or a combination of several. Variations such as these are within the scope of the present application.
  • current item information and/or auction information may be displayed.
  • the form of the display may include, but is not limited to, a combination of one or more of text, sound, image, video, animation, and the like.
  • the time of presentation can be set automatically according to the system or manually set by the user, for example, it can be several hours, several days, several months, and the like.
  • the auction information displayed may include, but is not limited to, the name of the auction item, the type of the product, the valuation price of the product, the configuration parameter of the product, the detection result of the product, the evaluation result of the product, the geographical position of the product, the environmental information of the product, and the commodity.
  • traffic information start time of product auction, end time of product auction, information link of other products of the same type, and the like.
  • step S492 an auction price model is established according to the selected commodity auction rule, the commodity purchase information is received, the auction price of the commodity is calculated, and the information of the auction winner is matched.
  • the product purchase information includes the product purchaser information and the commodity price.
  • the merchandise provider can view the auction result obtained by the auction, and if the bid result obtained by the auction is agreed, the auction is completed, and the auction result is displayed.
  • the auction result may be public, and all the people may obtain the auction result, wherein the auction result may be the auction transaction price and/or the auction purchase information, etc.; the auction result may also be confidential, only to the two sides of the transaction. That is, the product provider and the purchaser provide information about both parties, such as the user name, contact information, and transaction price. If the product provider disagrees with the auction result obtained by the auction, the auction fails, the system can return the buyer's auction failure to the buyer, and the system can automatically schedule the next auction time.
  • step S493 when the product provider agrees to the bidding result, the step of making the bidder successful purchaser may be added to determine whether the transaction is made. If the purchaser is unwilling to purchase, the current product auction ends or the next auction is entered.
  • step S495 may be omitted. If the determination in step S493 is NO, the process returns to step S490. Variations such as these are within the scope of the present application.
  • step S4101 the processing module 203 may obtain the purchaser's item of interest information, which may be obtained by the purchaser actively registering and/or registering, or may be based on the purchaser's past browsing history. Statistical acquisition.
  • step S4102 new item information is acquired.
  • step S4103 it is determined whether the new item provided by the item provider is the target item.
  • the judgment standard may be product information registered and/or registered by the user, including the product model number, the product name, the product brand, and the like, or may be the preference information of the purchaser of the system statistics.
  • the target product may be the same product, or may be the same type of product similar to the product of interest to the purchaser.
  • the judgment of similar goods can be set by setting a difference acceptable range.
  • the acceptable range of the difference between the two commodities can be clearly indicated in the purchaser registration information. It can also be the parameter value obtained by the system according to the past transaction situation.
  • past transactions include the purchaser's own past transactions and the transactions of other purchasers purchasing similar products.
  • step S4104 If it is the target item, the item information is pushed to the purchaser who is interested in such item in step S4104; if not, step S4106 is performed.
  • step S4105 it is determined whether the purchaser in the push information wants to participate in the bidding of the merchandise. If the purchaser wants to participate in the auction of the product, the auction information is pushed to the purchaser in step S4107, and if not, step S4108 is executed to cancel the push of the auction information.
  • Figure 5 is a flow diagram of a tester assignment, in accordance with some embodiments of the present application.
  • the processing/judging unit 421 acquires the item information.
  • the item information may be the item name, the category C1, and the reservation detection time interval [T1, T2], etc.; in step S502, the processing/judging unit 421 acquires the inspector information from the database 420.
  • step S506 the processing/judging unit 421 determines whether the item reservation time [T1, T2] falls within the range of the examiner usable time [T3, T4]. If the product is reserved [T1, T2] falls within the range of the tester's usable time [T3, T4] (T3 ⁇ T1 and T4 ⁇ T2), then proceeds to step S507, pushes the product reservation information to the examiner and the product provider, and stops the next examiner. If the product category C1 does not match the inspectable product C2 (C1 ⁇ C2), the process proceeds to step S508, the information matching of the inspector is stopped, and other inspector information is matched, and the process ends. .
  • steps S503, S504, S505, and S506 may be performed simultaneously with all elements, or may be performed by a single element one by one.
  • the tester matching may be performed for one tester or for a batch of testers, and after step S506, the information of each candidate tester is provided to the product provider, and the product provider selects the tester by himself, and then Step S507 is performed.
  • the criteria selected may be a combination of one or more criteria of the inspector's past transaction ratings, the level of the inspector, and or other inspector's information.
  • step S501 and step S502 can be performed in an order or simultaneously.
  • the processing/judging unit 421 may first acquire the examiner information from the database 420: the detectable product category C2, the time interval [T3, T4] may be used; the product name, the category C1, and the reservation detection time interval [T1, T2] ].
  • steps S503, S504, S505, The order of S506 can also be reversed or simultaneously performed.
  • steps S505 and S506 may be performed to compare the product reservation time [T1, T2] with the tester's usable time [T3, T4], and determine whether the product reservation time [T1, T2] falls.
  • the tester can use the time [T3, T4], and then perform steps S503 and S504 to compare the reserved product category C1 with the product category C2 detectable by the examiner, and determine that the product name, category C1, and the examiner can detect Does the product C2 match? Variations such as these are within the scope of the present application.
  • the used car provider A registration information can be as shown in Table 3:
  • the information to be matched to the tester A can be as shown in Table 4:
  • Detector name Tester A Detector level Used car senior tester phone 13911111111 Car inspection category Off-road vehicle Available time Wednesday, October 21, 2015, 9:00-18:00
  • the information to be matched to the tester B can be as shown in Table 5:
  • the information to be matched to the tester C can be as shown in Table 6:
  • the booking time matching step is entered.
  • the reserved time of the used car provider A can be compared with the available time of the inspector C. If the reserved time of the used car provider A is found to fall within the available time range of the inspector C, Then, the used car reservation information is pushed to the tester C and the used car provider A.
  • the reservation information pushed to the used car provider A can be as shown in Table 7:
  • the reservation information pushed to the inspector C can be as shown in Table 8:
  • step S601 the depreciation rate Y i of the used car technical index is obtained.
  • the depreciation rate of used car technical indicators can be based on the appearance, interior, chassis, engine, steering system, driving system, clutch condition, suspension system, lubrication system, transmission, braking system, cooling system, overhaul times, sewage discharge indicators, A combination of one or more of ride comfort, operational stability, acceleration dynamics, and the like is calculated.
  • the method for calculating the depreciation rate of each technical indicator may be a year-average method, a workload method, a double-month reduction method, or a sum-of-year method. In this embodiment, the year-average method is selected, and the proofreading coefficient can be determined according to the damage degree of the corresponding components of each technical index, and the coefficient of proof of the obtained technical indicators is corrected by the proofreading coefficient.
  • each technical indicator weight X i allocation rule is acquired.
  • the method for setting the weight X i allocation rule may include, but is not limited to, a subjective experience method, a primary and secondary indicator queuing classification method, an expert investigation method, and the like.
  • the present embodiment is a subjective experience selection method, its value can also be set manually according to their weights according to the weight distribution rule X i X i assigned by the system to generate their own rules. This embodiment is chosen according to the weights assigned by the system X i to generate their own rules.
  • step S603 the used car depreciation case D is obtained according to the following formula.
  • the formula can also be in other forms.
  • step S604 according to the depreciation of the used car, the evaluation of the used car is obtained, and the evaluation of the used car may be represented by a rating code, or may be represented by a star rating (or other graphic or pattern), and the embodiment is selected by a star rating.
  • the corresponding principle of the depreciation situation and the evaluation situation may be that one value corresponds to one rating code (or star rating), or one range corresponds to one rating code (or star rating), and the embodiment selects one range corresponding to one star rating.
  • a second-hand car of the BMW Z4 series which is 5 years old, can be detected by the tester A as shown in Table 9.
  • Table 9 A second-hand car of the BMW Z4 series, which is 5 years old, can be detected by the tester A as shown in Table 9.
  • the weights of the technical indicators X i can be as shown in Table 11:
  • the depreciation of the used car is 50%.
  • the rating criteria for used cars can be as shown in Table 12:
  • step S701 the acquired used car information includes brand information: Volkswagen; model information: Sagitar 1.4TSI-manual; year of manufacture: 2012, and the vehicle configuration parameters of the used car, as shown in Table 13- 18 is shown.
  • the vehicle configuration parameters may include, but are not limited to, one or a combination of basic parameters, engine parameters, chassis and braking parameters, safety configuration parameters, external configuration parameters, internal configuration parameters, and the like.
  • the used vehicle inspection information includes appearance interior inspection information, which may include, but is not limited to, a combination of one or more of paint surface leveling, paint surface color, appearance part replacement, used vehicle appearance direction, and the like; in some embodiments
  • the used vehicle maintenance information may also include one or a combination of a seat belt system, a safety light system, an instrument indicator light, an air conditioning system, a seat system, a brake system, a brake system parameter, and a picture of each direction. .
  • the types of information listed here are for illustrative purposes only. Used car information can also be for other information, such as the price of a first-hand item corresponding to second-hand goods, functional differences. In addition, this process can also be used for the auction of new products, such as first-hand houses, first-hand cars, and first-hand jewelry.
  • the basic parameters of used cars include but are not limited to manufacturers, used car grades, engine parameters, gearbox type, body structure, body size, wheelbase, trunk volume, and kerb quality.
  • the engine parameters of the used car include, but are not limited to, displacement, intake form, cylinder, maximum horsepower, maximum torque, fuel type, fuel number, fuel supply mode, emission standard, and the like.
  • step S702 a vehicle 3D model and a 3D image construction method of the used car from the storage module 202 are acquired.
  • the plane single-factor method is taken as an example for explanation.
  • step S703 the image information of the used car is processed to perform image construction.
  • Processing operations include pre-processing, which may include, but are not limited to, a combination of one or more of image digitization, image geometric transformation, image normalization, image smoothing, image restoration, image enhancement, etc.; in some embodiments, processing The operation may also include a single image segmentation process to segment each individual of the image; in some embodiments, the processing operation may also include calculating the image depth, reconstruction based on the planar curve, reconstruction of the conic curve, and round The three-dimensional reconstruction and the three-dimensional reconstruction principle of the line calculate the depth of different characteristic curves of each image to generate a depth image. And select the plane single method to construct the 3D image of the used car. In step S704, the acquired 3D image construction data is transmitted to the 3D image generation unit 461 to generate a 3D image of the above-mentioned used car.
  • the 3D image generated in step S704 may be an overall appearance image of the used car or a 3D image of one of the components.
  • the 3D image of the new car and the 3D image obtained by the used car detection information can be generated at the same time, and the purchaser can browse the usage of the used car more intuitively.
  • the parts where friction and discoloration occur identify the coordinates and make a key mark, purchase The buyer can visually observe the damage and can also zoom in and browse for the part. Variations such as these are within the scope of the present application.
  • step S801 used car detection information is acquired.
  • the used car monitoring information may include one or a combination of several types, such as, but not limited to, vehicle age, mileage, and overhaul.
  • step S802 a used car valuation model is acquired.
  • the estimation model can obtain the evaluation value V of the vehicle through a formula:
  • V P m ⁇ C 1 ⁇ C 2 , (5)
  • P m represents the average market price of the model in the last card year
  • C 1 represents the proportional coefficient of different new car prices under the same model
  • C 2 represents the mileage condition coefficient.
  • the average market price of the model in the last card year is based on the statistics of a large number of used car bids of the same model in the same year, and the current market is different from the different costs of individual bids and merchant bids.
  • the weighted average price of the model used car refers to the coefficient obtained by comparing the specific price of each car with the price of each new car and the new car price of the model with the largest transaction volume under the same model.
  • the mileage condition coefficient refers to the coefficient obtained by quantitative comparison of the mileage and the condition of a specific used car with the average mileage of the same model and the overall vehicle condition of the same model in the same year.
  • the second-hand car valuation method can also adopt one or more of the replacement cost method, the income present value method, the current market price method, the liquidation price method, the rapid depreciation method and its corresponding valuation formula. The combination.
  • step S803 it is determined whether the used car has an overhaul condition. If not, the process proceeds to step S804, and the used car evaluation value V is acquired; if yes, the process proceeds to step S805, and the used car valuation correction coefficient a is determined in combination with the number of overhauls and the degree of repair. In step S806, coefficient correction is performed on the used car valuation in combination with the overhaul situation, and the vehicle evaluation correction value V' is obtained:
  • V' V ⁇ a, (6)
  • the vehicle value V is evaluated according to formula (5).
  • the average price of the BMW Z4 sDrive35i sedan, which was launched in 2010, is 250,000.
  • the scale factor of the new car price under the same model is 0.85, and the mileage and condition of the used car are all In the same year, the average mileage of the same model car and the overall vehicle condition were quantitatively compared, and the mileage condition coefficient was 0.8.
  • V 170,000. Since the used car has undergone major overhaul, the valuation correction factor needs to be obtained in conjunction with the following table. As shown in Table 20, if the second-hand car undergoes only one overhaul, the corresponding valuation correction coefficient is directly selected for the degree of overhaul.
  • FIG. 9 is a flow chart of a merchandise auction.
  • the following uses the auction of second-hand goods as an example for explanation.
  • the second-hand product information may include, but is not limited to, a combination of one or more of a product name, a product category, detection information, evaluation information, and valuation information; wherein the bid information may include, but is not limited to, a bid start time, Bidding deadline, etc.;
  • the purchaser information may include an individual or a business.
  • the purchaser information may include, but is not limited to, the purchaser's name, contact information (telephone, mail, etc.), etc.
  • the purchaser information may include, but is not limited to, company name, contact name, contact A combination of one or more of the methods (telephone, mailbox, etc.), the company profile represented by the purchaser, and the like.
  • a bidding rule is selected, and the bidding rule may be a British auction rule, a Dutch auction rule, a first-level price sealed auction rule, or a secondary price sealed auction rule (Vickery bidding rule).
  • This embodiment selects the Vickery bidding rules for description.
  • step S903 when it is determined that the real time is the bid start time, the bidding is started.
  • step S904 purchaser bid information is acquired.
  • step S905 it is determined whether there is a bidder when the real-time time is the bidding deadline. If there is no bidder, the process proceeds to step S906, the system reschedules the bidding time, and the bidding ends; if it is determined in step S905 that there is a bidder, the step is entered.
  • step S907 calculating a bid value according to the buyer bid and the Vickery rule, and providing the transaction price (bid value) to the product provider in step S908, determining whether the product provider agrees to the transaction price, if the product provider does not agree with the transaction
  • the price proceeds to step S906, and the bidding ends, and the next bid is arranged.
  • step S909 After determining that the commodity provider agrees to the transaction price, the process proceeds to step S909, and the bidding result is displayed, and the bidding result may include, but is not limited to, the winning bidder information, the transaction price, the transaction time, and the like.
  • step S908 when the item provider does not agree with the transaction price, the process proceeds to step S906 to schedule the next auction.
  • a second-hand car auction the auction time is October 21, 2015 14:00-14:30, pending bidding
  • the handcart information can be as shown in Table 21.
  • the information of the used car to be auctioned includes but is not limited to the name of the used car, the type of used car, the age of the car, the mileage, the completeness of the license, the depreciation rate, the evaluation level, the evaluation price, the specific situation of the test, etc. .
  • Buyer information can be as shown in Table 22:
  • the real-time time is 14:00 on October 21, 2015, and the auction begins. During the period from 14:00 to 14:30, the purchaser can browse the basic information, test information, valuation information, 3D display information, etc. of the used car, and give their bid before the auction deadline.
  • the real-time time is 14:30 on October 21, 2015, the auction ends and the buyer stops bidding. At this time, if there is no bid, the auction time will be rescheduled and the auction will be ended. If someone bids, the system will get the highest bid value and the winning bidder based on the bid information. Suppose someone bids at this time, the bid information is shown in Table 23:
  • the highest bidder is the purchaser 2, according to the principle of "the highest bidder wins the bid, the second highest price" in the Vickery rules, the transaction price is 300,000.
  • the bidding results are shown in Table 24.
  • the published bidding results include but are not limited to the used car name, used car category, used car provider, provider contact information, used car evaluation price, used car Transaction price, successful bidder, successful bidder contact information, bidding time, etc.
  • step S1001 second-hand housing information of interest to the purchaser is acquired.
  • the second-hand housing information may include, but is not limited to, a combination of one or more of a housing address, a housing area, a floor plan, a floor, an estimated price, a construction date, an interior decoration, a building structure, a house orientation, a house type, and the like.
  • the acquisition method may be that the second-hand house purchaser directly registers the information on the server 203, or may be obtained by the server 203 for the past product browsing record of the purchaser by means of statistics, calculation, simulation, or the like. For example, in the past month, the purchaser browsed the second-hand housing information in the one-room and one-bedroom hall in Tongzhou, Beijing. The system will obtain the second-hand housing of the one-room apartment in Beijing Tongzhou through the statistics.
  • step S1002 acquiring new second-hand housing information may include, but is not limited to, one or more of a housing address, a housing area, a floor plan, a floor, an estimated price, a construction date, an interior decoration, a building structure, a house orientation, a house type, and the like. Combination of species.
  • steps S1003 matching the second-hand housing information that the buyer is interested in with the newly-built second-hand housing information.
  • step S1004 it is determined whether at least two elements match, if no at least two elements match, then proceeding to step S1005, the new second-hand housing information is not pushed to the purchaser; if at least two elements match, Go to step S1006.
  • step S1006 the new second-hand housing information is pushed to the purchaser, which may include, but is not limited to, a housing address, a housing area, a floor plan, a floor, an estimated price, a construction date, an interior decoration, a building structure, a house orientation, a house type, and the like.
  • a housing address a housing area
  • a floor plan a floor
  • an estimated price a construction date
  • an interior decoration a building structure
  • a house orientation a house type
  • house type a house type, and the like.
  • Step S1002 can also receive other information, such as the price of the first-hand item corresponding to the second-hand item, and the functional difference.
  • this process can be used for auctions of new products, such as first-hand houses, first-hand cars, and first-hand jewelry.
  • step S1007 it is determined whether the purchaser wants to bid for the pushed second-hand house.
  • the determining manner may be one of a mail consultation, a personal account consultation of a purchaser on the server, a telephone consultation, a short message consultation, and the like. If the purchaser does not want to bid, the process proceeds to step S1008, and the auction information is not pushed to the purchaser; if the purchaser wants to bid, the process proceeds to step S1009.
  • the auction information is pushed to the purchaser, which may include, but is not limited to, an auction time, an auction rule, an auction second-hand house information, etc.
  • the auction second-hand housing information may include, but is not limited to, a housing address, a housing area, a floor plan, a floor, and an estimated price.
  • a housing address a housing area
  • a floor plan a floor
  • an estimated price a combination of one or several of the construction age, interior decoration, building structure, house orientation, house type, and the like.
  • the determining condition may be determining whether at least one or some of the elements match, or first determining whether to match one or more specific elements, and then determining whether at least one of the remaining elements is present. Or some of the elements match. Variations such as these are within the scope of the present application.
  • the purchaser A registers the second-hand housing information that he is interested in.
  • the second-hand housing information of interest registered by the purchaser A may include the housing address, the housing area, the apartment type, the valuation price, and the like.
  • the housing area and the valuation price can be either a numerical value or a numerical range.
  • the information of the newly-added second-hand houses can be as shown in Table 26.
  • the newly-built second-hand houses are A, B, C, and D.
  • New second-hand housing information includes, but is not limited to, housing address, floor plan, housing area, floor, valuation price, construction age, interior decoration, building structure, house orientation, house type, etc.
  • the judgment result is that the second-hand houses A, B, and D meet the conditions, so the information of the second-hand houses A, B, and D is pushed to the purchaser A.
  • the bid information of the second-hand house B is pushed to the purchaser A, and as shown in Table 27, the bid information of the second-hand house B pushed to the purchaser A includes but is not limited to the auction information.
  • Second-hand housing information involved in the auction includes but is not limited to the auction time, the number of participating auctions, and the like.
  • the second-hand housing information involved in the auction includes but is not limited to the housing address, apartment type, housing area, building Floor, valuation price, construction age, interior decoration, building structure, house orientation, house type, etc.
  • example embodiments may be described as a process embodied as a flowchart, a flowchart, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel, concurrently or concurrently. In addition, the order of operations can be rearranged. When the operation of the process is completed, the process can be terminated, but the process can also have additional steps not included in the figure. Processes may correspond to methods, functions, programs, subroutines, subroutines, and the like. When the process corresponds to a function, the termination of the process may correspond to a return of the function to the calling function or the main function.
  • the processing unit and the database are functionally illustrated as being in the same respective block, those skilled in the art will appreciate that the various devices, units or steps described above may be This can be achieved by means of a general-purpose computing device, which can be concentrated on a single computing device, such as as a commodity auction device; or not in the same device.
  • the storage module and processing module may actually include multiple specific devices, such as wireless transceivers, memories, processors, microprocessors, etc., that are not located within the same physical enclosure.
  • the network may be connected by wire, or may be connected by wireless in an area, or may be connected through a distributed network in different areas.
  • they may also be implemented by program code executable by the computing device so that they can be stored in the storage device by the computing device, or they can be individually fabricated into individual integrated circuit modules, or many of them Modules or steps are made into a single integrated circuit module.
  • the application is not limited to any particular combination of hardware and software.

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Abstract

提供了一种商品拍卖系统及方法，该系统包含一个输入模块，被配置为接收商品提供信息、商品购买信息或商品检测信息；一个存储模块，被配置为存储所述商品提供信息、所述商品购买信息或所述商品检测信息；一个处理模块，被配置为根据所述商品提供信息、所述购买信息或商品检测信息，得到商品评估结果和商品拍卖结果；其中，所述处理模块还被配置为将商品检测信息进行处理，得到商品3D数据。

Description

商品拍卖系统及方法 技术领域
本申请涉及商品拍卖系统，特别地，涉及一种包含产品的3D数据的商品拍卖系统及方法。
背景技术
基于网络信息的交易方式，如网络拍卖，是电子商务的一个重要应用。它是通过网络平台进行销售或拍卖等商业活动，并由拍卖群体决定价格及分配过程的特殊现货交易方式。此拍卖系统适用于各种生活百货用品。不论是一手或二手商品的交易，就一些商品(如单价高的商品)而言，不仅需要商品信息的充分披露，还需要专业人士的辅助评估、估价等。
发明内容
根据本申请的一个方面，提供了一种商品拍卖系统。该系统包含一个输入模块，被配置为接收商品提供信息、商品购买信息和商品检测信息；一个存储模块，被配置为存储所述商品提供信息、所述商品购买信息或所述商品检测信息；一个处理模块，被配置为根据所述商品提供信息、所述商品购买信息或所述商品检测信息，得到商品评估结果和商品拍卖结果；其中，所述处理模块还被配置为将所述商品检测信息进行处理，得到商品3D数据。
根据本申请的另一方面，提供了一种商品拍卖方法，包含如下步骤：接收商品提供信息、商品购买信息或商品检测信息；存储所述商品提供信息、所述商品购买信息或所述商品检测信息；根据所述商 品提供信息、商品购买信息或商品检测信息中，得到商品评估结果和商品拍卖结果；还将所述商品检测信息进行处理，得到商品3D数据。
根据本申请的进一步方面，该商品拍卖系统进一步包含一个输出模块，被配置为展示所述商品的预估价值、拍卖结果或3D数据中的至少一种。
根据本申请的进一步方面，该商品拍卖系统的存储模块的存储信息还包含对所述购买信息与所述商品检测信息进行处理的至少一个规则。
根据本申请的进一步方面，该商品拍卖系统的存储模块所存储的对所述商品购买信息与所述商品检测信息进行处理的规则包含至少一个竞价规则，包括英国式拍卖、荷兰式拍卖、首价密封拍卖、维克瑞(Vickery)拍卖等。
根据本申请的进一步方面，该商品拍卖系统的处理模块，被配置为将所述商品检测信息进行处理，依据一个评估模型，得到一个商品评估结果。
根据本申请的进一步方面，该商品拍卖系统的处理模块得到的商品评估结果是商品估计与商品的评级中的至少一种。
根据本申请的进一步方面，所述商品提供信息包括商品提供者信息与商品信息。其中，所述商品信息包括商品本身信息、预约信息、价格信息、社会信息等中的至少一种。
根据本申请的进一步方面，所述商品购买信息包括商品购买者信息与商品价格。
根据本申请的进一步方面，所述商品检测信息包括外观检测信息、内饰检测信息、配置检测信息、商品的年份检测信息等中的至少一种。
附图说明
在此所述的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的限定。
图1-1是本申请一个具体实施方式提供的商品拍卖系统结构图；
图1-2是本申请一个具体实施方式提供的商品拍卖系统的流程图；
图2是本申请一个具体实施方式提供的服务器结构图；
图3-1是本申请一个具体实施方式提供的输入模块结构图；
图3-2是本申请一个具体实施方式提供的检测单元结构图；
图4-1是本申请一个具体实施方式提供的处理模块结构图；
图4-2是本申请一个具体实施方式提供的预约/分配单元结构图；
图4-3是本申请一个具体实施方式提供的检测师预约/分配流程图；
图4-4是本申请一个具体实施方式提供的评估单元结构图；
图4-5是本申请一个具体实施方式提供的商品评估流程图；
图4-6是本申请一个具体实施方式提供的3D成像单元结构图；
图4-7是本申请一个具体实施方式提供的商品3D展示流程图；
图4-8是本申请一个具体实施方式提供的竞价单元结构图；
图4-9是本申请一个具体实施方式提供的商品拍卖流程图；
图4-10是本申请一个具体实施方式提供的商品定向推送/竞拍流程图；
图5是本申请一个具体实施方式提供的检测师分配的具体实施方式流程图；
图6是本申请一个具体实施方式提供的二手车质量评估的具体实施方式流程图；
图7是本申请一个具体实施方式提供的汽车3D展示具体实施方式流程图；
图8是本申请一个具体实施方式提供的汽车估价的具体实施方式流程图；
图9是本申请一个具体实施方式提供的商品拍卖的具体实施方式流程图；
图10是本申请一个具体实施方式提供的房屋定向推送/竞拍具体实施方式流程图。
具体实施方式
为了更清楚地说明本申请的技术方案，下文将对实施例描述中所需要使用的附图作简单的介绍。显而易见地，下文及附图所描述的仅仅是本申请的一些具体实施例，对于相关领域的技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些描述与附图，将本申请应用于其他方面。应当理解，给出这些示例性实施例仅仅是为了使相 关领域的技术人员能够更好地理解进而实现本申请，而并非以任何方式限制本申请的范围。除非从语言环境中显而易见或另作说明，图中相同标号代表相同结构和操作。
虽然本文对根据本申请的实施例的系统中的某些模块做出了各种引用，然而，任何数量的不同模块可以被使用并运行在客户端和/或服务器上。所述模块仅是说明性的，并且所述系统和方法的不同方面可以使用不同模块。
本文中使用了流程图用来说明根据本申请的实施例的系统所执行的操作。应当理解的是，前面或下面操作不一定按照顺序来精确地执行。相反，可以按照倒序或同时处理各种步骤。同时，也可以将其他操作添加到这些过程中，或从这些过程移除某一步或数步操作。
本文除非上下文明确提示例外情形，“一”、“一个”、“一种”和/或“该”等词并非特指单数，也可包括复数。一般说来，术语“包括”与“包含”仅提示包括已明确标识的步骤和元素，而这些步骤和元素不构成一个排它性的罗列，方法或者设备也可能包含其它的步骤或元素。
图1-1是本申请一个具体实施方式的商品拍卖系统结构图。它可以包括但不限于商品提供者101，商品购买者104，服务器103，信息源105和互联网102。商品提供者101、商品购买者104(104-1，104-2，……，104-n，其中n为大于或等于1的任何自然数)和服务器103三方通过互联网102连接，获取、交互信息。三方交互的信息、各自信息存储到信息源105。信息源105获取信息的方式可以是直接 的，也可以是间接的，可以是集中的也可以是分布的，可以是以上方式的一种也可以是其中几种的组合形式。
商品提供者101泛指任何在一定的空间范围、时间段内提供商品进行拍卖或预约检测的商品提供方；商品购买者104泛指任何在一定的空间范围、时间范围进行浏览或商品拍卖的商品购买方。例如，商品提供者可以是提供古董、房屋、车辆、钻石等商品的任何自然人、法人或其他组织等；商品购买者可以是想要购买古董、房屋、车辆、钻石等任何商品的任何自然人、法人或其他组织等。
互联网102可以是局域网也可以是广域网，连接设备的传输介质可以是有线形式的传输介质如同轴电缆、双绞线和/或光导纤维，也可以采用无线形式的传输介质如采用空气作为传输介质，还可以是上述传输介质的一种或多种组合的形式。网络拓扑结构可以是星型网络、环形网络、总线型网络、树型网络、簇星型网、网状网等，也可以是以上结构的一种或多种组合。通信方式可以是点对点传输也可以是广播式传输网络的一种或两种组合的形式。
服务器103是可以实现商品拍卖操作，配有多个处理器的服务器。它可以是一个中央服务器，也可以是以多个通过网络连接的服务器，可以是物理形式服务器也可以是虚拟形式服务器，可以是上述形式的一种服务器也可以是多种服务器共存，可以是一个服务器也可以由多个服务器构成。
信息源105泛指能向商品拍卖系统提供信息的来源。信息源105用于存储与拍卖系统相关的信息，例如，商品信息、同类商品信 息、商品提供者(或商品购买者)的注册信息、商品检测信息、商品拍卖信息等中的一种或任意几种的组合。信息源105可以以一个单独的中央服务器的形式存在，也可以以多个通过网络连接的服务器形式存在，还可以是以大量的个人设备形式存在。当信息源以大量个人设备形式存在时，这些设备可以通过一种用户生成内容(user-generated content)的方式，例如向云端服务器上传文字、声音、图像、视频等，从而使云端服务器连同与其连接的众多个人设备一起组成信息源。
图1-2是本申请一个具体实施方式提供的商品拍卖系统的流程图。据图所示，在步骤S120，服务器103首先获取商品提供信息。该商品提供信息可以包含一个商品提供者信息和商品信息。商品提供者信息可以是通过商品提供者在服务器103上注册获取的，还可以是批量导入的商品提供者信息。商品提供者信息可以包括但不限于商品提供者的用户名、用户密码、头像、认证信息，其中认证信息可以包括但不限于身份证信息、护照信息、驾驶证信息、邮箱、手机号、座机电话、传真、微信号、QQ号或者其他可以表明身份的信息等。商品信息包括但不限于商品本身信息、预约信息、价格信息、社会信息等中的一种或几种的组合。其中，商品本身信息可以包括但不限于商品的名称、品牌、类别、型号、颜色、构造、材质、形状、尺寸、图案、购买日期、使用年限、商品配置参数、商品折旧情况、折旧情况、原价格信息、出厂年份、使用年限等中的一种或几种的组合。其中，预约信息可以包括但不限于预约检测时间、预约检测地点、预约检测师、预约检测订单号、预约检测更改等中的一种或几种的组合。其中，价 格信息可以包括但不限于商品预期出售价格、价格容忍浮动范围等。社会信息可以包括但不限于商品使用的环境信息、交通信息等，如房屋的周边设施信息、公交线路信息、地铁线路信息等。商品提供者信息和商品信息的获取方式可以通过手动输入和/或扫描输入。其中，手动输入可以是商品提供者和/或其代理人手动输入，其输入方式可以包括但不限于手写输入、手势输入、语音输入、视频输入等中的一种或几种的组合。其中，扫描输入方式可以包括但不限于二维码扫描、条形码扫描、图片扫描、指纹扫描、磁条扫描、芯片扫描等中的一种或几种的组合。
获取商品信息后，服务器103可对商品信息进行进一步的处理操作，可以包括但不限于信息分类、信息转换、信息匹配、创建预约、构建商品3D展示、构建竞拍、定向推送、商品等级评估、商品价值评估、构建模型等中的一种或几种的组合。
在步骤S121，服务器103可以获取商品购买信息。其中，商品购买信息可以是多个商品购买者信息和商品购买者参与拍卖的价格信息。商品购买者信息可以包括但不限于商品购买者的用户名、用户密码、认证信息等，其中认证信息可以包括但不限于身份证信息、护照信息、驾驶证信息、邮箱、手机号、座机电话、传真、微信号、QQ号或其他可以表明身份的信息等。商品购买者参与拍卖的价格信息是指商品购买者参与拍卖时的预期价格信息、拍卖商品的价格信息和/或购买者提出的针对某一特定类型商品可接受的价格区间信息等。在一些实施例中，商品购买信息的获取方式可以通过手动输入和/或 扫描输入。其中，手动输入可以是商品提供者和/或其代理人手动输入，其输入方式可以包括但不限于手写输入、手势输入、语音输入、视频输入等中的一种或几种的组合。其中，扫描输入方式可以包括但不限于二维码扫描、条形码扫描、图片扫描、指纹扫描、磁条扫描、芯片扫描等中的一种或几种的组合。
在步骤S122，服务器103将获取的上述信息进行处理，并在步骤S123完成商品拍卖，展示拍卖结果。其中，信息进行处理的操作可以包括但不限于商品提供信息和/或商品购买信息的导入、商品的展示、拍卖模型的选取、拍卖价格模型的创建、拍卖竞标结果的计算与展示等中的一种或的几种的组合。在一些实施例中，商品的展示方式可以是文字、声音、图像、视频等中的一种或几种的组合。文字展示，可以用一些关键词，也可以用一段或几段文字来展示商品。声音展示，可以用语音形式来展示商品。图像展示，可以用2D图像或者3D图像来展示商品信息。视频展示，可以用一段视频来展示商品。在一些实施例中，拍卖结果可以只是价格信息和/或竞标胜出的购买信息，还可以是所有参与拍卖的商品购买者或部分参与拍卖的商品购买者的购买信息。拍卖结果的展示信息可以是服务器103的默认设置，也可以是商品购买者104自行设置。例如商品购买者104在竞拍前于服务器103上设置，是否向其他方展示竞拍信息，其他方可以是商品提供者101，还可以是其他商品购买者。
需要注意的是，以上关于商品拍卖系统的叙述，仅为理解方便，并不能把本申请限制在所举实施例范围之内。可以理解，对于本领域 的技术人员来说，在了解本申请的基本原理后，可以在不背离这一原理的情况下，对实施例的步骤进行形式和细节上的各种修正和改变。在一些实施例中，某些步骤可以调换，例如获取商品提供信息和获取商品购买信息可以调换次序，或者二者同步。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些具体实施方式，图2是服务器103的结构示意图。如图2所示，服务器103包含一个输入模块201、一个处理模块203、一个输出模块204和一个存储模块202。系统内各模块之间的连接形式可以是有线的，也可以是无线的。任何一个模块都可能是系统本地的，也可以位于远程，通过网络与其他模块连接。模块与模块间的对应关系可以是一对一的，也可以是一对多的集中式，如一个处理模块203同时与多个输入模块201连接，还可以是多对多的，例如，多个输入模块201与多个存储模块202相互交换信息。
以上描述仅仅是关于一个特定实施例的服务器103的结构图。可以理解，对于本领域的技术人员来说，在了解服务器103的基本原理后，可能在不背离这一原理的情况下，对实施服务器103的具体方式与步骤进行形式和细节上的各种修正和改变，例如，服务器103可以将获取的信息或者处理信息直接存储在信息源105，而不包含一个存储模块202。
在一些实施例中，输入模块201可以用于接收来自外界的信息，这些信息可以包括但不限于商品提供者信息、商品购买者信息、商品 信息、检测信息、拍卖信息、时间信息、地点信息、社会信息等信息中的一种或几种的组合。信息的获取可以是实时的也可以是定期的，也可以是两种结合实施的，信息的获取方式可以是集中的也可以是分布的。信息的输入可以采用机器导入，也可以采用人工输入(例如可以包括但不限于语音输入、图像输入、手写输入、视频输入等)，也可以采用网络截取(例如可以包括但不限于视频、音频、图像、文字、动画等的截取等)，还可以采用扫描输入(例如可以包括但不限于条形码扫描、二维码扫描、磁条扫描或芯片扫描等)。
根据本申请的一些实施例，图3-1为输入模块201的结构图。如图3-1所示，输入模块201可以包括一个商品提供信息接收单元301、商品购买信息接收单元302、检测信息接收单元303和检测单元304。其中，商品提供信息接收单元301可以用于接收来自商品提供者输入的信息。例如，商品提供者101可以通过手机、平板电脑、笔记本电脑、车载电脑、智能眼镜、智能手表、可穿戴设备等智能设备向商品提供信息接收单元301输入信息。商品提供者101输入的信息可以包括但不限于商品提供者的信息和商品信息等。其中商品提供者信息可以包括但不限于商品提供者的用户名、用户密码、头像、认证信息以及商品提供者个人偏好信息等。其中商品提供者个人偏好信息可以包括但不限于商品的种类、品牌、颜色、材质、构造等信息中的一种或几种的组合。商品信息可以包括但不限于商品本身信息、预约信息、价格信息、社会信息等中一种或几种的组合。商品本身信息可以包括但不限于商品的名称、种类、品牌、型号、构造、购买日期、 使用年限、颜色、形状、尺寸、图案，商品配置参数、材质、商品折旧情况、商品出售价位预期值中的一种或几种的组合。例如，古董类商品信息可以包括但不限于古董制作年代、古董材质、古董产地、历史价值、文化价值、科研价值、古董保存的完整情况等中的一种或几种的组合。其中，古董保存的完整情况可以包括但不限于是否有裂痕、是否完整、是否变形、是否褪色、是否老化等中的一种或几种的组合；二手车商品信息可以包括但不限于二手车的品牌、型号、颜色、行驶里程、行驶年限、配置情况、车辆排量、有无大修、大修次数、有无重大碰撞、车窗玻璃、车灯、车辆缝隙、发动机、水箱、内饰有无划痕或污渍、浸泡、破损、安全带系统、安全气囊系统、车身稳定系统、刹车系统、雨刷器、仪表系统、电动车窗、行驶系统等折旧情况、是否有违章记录、是否有待处理的违章记录、是否有完整的过户信息等中的一种或几种的组合；二手房商品信息可以包括但不限于二手房地址、建房时间、所在楼层、厅室数量、厅室布局、房屋面积、朝向、交通情况等，其中交通情况可以包括有无公交站、地铁站以及距离公交站或地铁站的距离，购物情况可以包括有无超市、购物商场以及距离超市或购物商场的距离等。这里列举的信息种类仅供说明之用。输入模块201可以用于接收其他信息，例如二手商品对应的一手商品的价钱，功能差别。这个系统也可以用于新商品的拍卖，如一手房，一手车，一手珠宝等。预约信息可以为商品提供者预约的检测时间，能够接受的时间阈值、检测地点、检测师信息等。其中，时间阈值是指，商品提供者可以接受的检测师到达检测地点与商品提供者预约的时 间的偏差值。信息的形式可以是图片、文字、视频、语音、动画等中的一种或几种的组合。
输入模块201还可以包括一个商品购买信息接收单元302，用于接收商品购买者104输入的信息。购买者可以通过手机、平板电脑、笔记本电脑、车载电脑、智能眼镜、智能手表、可穿戴设备等智能设备向商品购买信息接收单元302输入信息。购买者输入的信息可以包括但不限于购买者信息、购买者价格信息、商品信息等。其中，购买者信息可以包括购买者用户名、用户密码、购买者注册信息、购买者预期购买商品信息、购买者过往查询信息、购买者过往交易信息、购买者感兴趣商品信息、购买者价格信息、购买者偏好信息，其中用户偏好信息可以包括但不限于喜恶颜色，喜恶款型等。其中，购买者价格信息可以是购买者提出的针对购买特定商品的预期价格信息、拍卖商品的价格信息和/或购买者提出的针对某一特定类型商品可接受的价格区间信息等。
在一些实施例中，输入模块201还包括一个检测信息接收单元303，用于接收商品检测信息。其中，商品检测信息可以包括但不限于商品的外观检测信息、商品的内饰检测信息、商品的配置检测信息、商品的年份检测信息等中的一种或几种的组合。例如，古董类商品检测信息可以包括但不限于真伪情况、制造年代、古董材质，古董产地、历史价值、文化价值、科研价值、古董保存的完整情况等中的一种或几种的组合。其中，古董保存的完整情况可以包括但不限于是否有裂痕、是否完整、是否变形、是否褪色、是否老化等。二手车类商品检 测信息可以包括但不限于车漆的平整、颜色、车窗玻璃、车灯、车辆缝隙、发动机、水箱、内饰有无划痕或污渍、浸泡、破损、安全带系统、安全气囊系统、车身稳定系统、刹车系统、雨刷器、仪表系统、电动车窗、行驶系统等的折旧情况、使用情况及相关参数的检查、是否有违章记录，是否有待处理的违章记录，是否有完整的过户信息等中的一种或几种的组合。二手房类商品检测信息可以包括但不限于房屋的构局、房物装修情况、墙面有无裂痕、门窗情况、采光情况等。
输入模块201还包括一个预处理单元306，接收到输入模块201各接收单元的信息后进行预处理操作，并将预处理后的信息传输到处理模块203和/或存储模块202。预处理单元接收到信息后对信息的预处理操作可以包括但不限于：数据清理、数据集成、数据变换、数据归约、图像净化处理、图像去噪等中的一种或几种的组合。
需要注意的是，以上描述仅仅是关于一个特定实施例的输入模块201。可以理解，对于本领域的技术人员来说，在了解输入模块201的基本原理后，可能在不背离这一原理的情况下，对实施输入模块的具体方式与步骤进行形式和细节上的各种修正和改变。例如，可以根据实际需要，将各信息接收单元整合成一个信息接收单元，或者将其中的某两个或多个信息接收单元整合成一个信息接收单元。例如，可以不包括预处理单元306，将接收到的检测信息直接传输到处理模块203进行信息处理。又例如，输入模块201包括一个检测单元304对商品进行检测，其中检测单元304可以是一种检测设备也可以是多种检测设备，可以是一个检测设备也可以是多个检测设备的组合。在一 些实施例中，检测单元304还可以包括一个图像检测组件304-1，用于商品图像检测。检测的方式可以是图像直线检测、图像边缘检测、图像变化检测等中的一种或几种组合，检测算法可以包括但不限于推向边缘检测算法、图像分割算法、图像压缩算法、图像增强算法、图像拼接算法、图像匹配算法等中的一种或几种的组合。检测单元304还可以包括一个视频检测组件304-2，用于商品的视频检测。视频检测组件可以是一个摄像装置。视频检测组件可以采用非接触式，也可以采用触发式。其中触发方式可以包括但不限于是微波触发、红外触发、线圈触发等。检测单元304还可以包括一个超声波式检测组件304-3，一个雷达型检测组件304-4，一个环形线圈式检测组件304-5等，用于对商品的缺陷进行检测。在一些实施例中，检测单元304检测到商品信息后，可以实时也可以是定期的向输入模块201的预处理单元306传输商品检测信息，传输的形式可以是集中的也可以是分布的。
输入模块201还可以包括一个检测设备接口单元305与外界的检测设备连接获取检测数据。其中，检测设备接口单元305可以与外界的一种检测设备连接也可以与多种检测设备连接，可以与一个检测设备连接也可以与多个检测设备连接。检测设备接口单元305获取检测设备检测得到的商品检测信息后可以实时地也可以定期地向输入模块201的预处理单元306传输接收到的检测信息。其中，传输的形式可以是集中的也可以是分布的。
在一些实施例中，检测单元304和/或检测设备接口单元305连接的检测设备对商品的检测方式可以是整体检测也可以是分区域检测，还可以是上述检测方式的组合。例如，在对商品进行分区检测的实施例中，可以将商品分成多个相对独立的区域，在各区域中确定检测项目。分区可以采用多种方式，可以是按功能分区：如商品为二手车辆，将车辆按功能分成外层区域、内部装饰区域、操作控制区域、后备箱区域、动力控制区域等；商品是房屋，将其按功能分成外墙区域、入户区域、客厅区域、卧室区域、厨房区域、卫生间区域等；商品是古董，将其分成外观区域、内胚区域、内腔区域等。还可以是按结构分区，如车辆类商品可以按照它的架构划分为：车前挡区域、右前轮区域、左前轮区域、右前门区域、左前门区域、右后门区域、左后门区域、右后轮区域、左后轮区域、后备箱区域、驾驶台区域、内饰区域等。
处理模块203用于接收来自输入模块201、存储模块202和/信息源105的信息，并对信息进行处理操作。根据本申请的一些实施例，图4-1是处理模块203的结构图。如图4-1所示处理模块203包括一个分类处理单元401和处理器组402。其中分类处理单元401用于将接收到的来自输入模块201和/或信息源105、存储模块202的信息进行分类处理，分类处理操作依照处理器组402包含的不同的子单元进行分类。将用于预约/分配的信息传输至预约/分配单元402-1，例如预约时间，预约地点，预约方式，商品提供者联系方式，检测师可用时间列表，检测师信息等；将用于评估商品的信息传输至评估单元402- 2，例如商品信息、商品检测信息、商品价格信息、同类商品信息、同类商品价格信息等；将3D成像信息传输到3D成像单元402-3，例如商品各方视图、视频、商品尺寸、商品构件的各方视图、视频等；将用于拍卖竞价的信息传输到竞价单元402-4，例如购买者开出的价格、商品提供者预期价格、商品全新时价格、商品价格信息、同类商品价格信息等。处理操作可以包括但不限于信息分类、信息转换、信息匹配、创建预约、构建商品3D展示、构建竞拍、定向推送、商品等级评估、商品价值评估、构建模型等。
根据本申请的一些实施例，图4-2为预约/分配单元402-1的结构图。预约/分配单元402-1可以包括一个数据库420、一个处理/判断单元421和一个信息创建单元422。其中，数据库420可以用于存储检测师分配规则、检测师信息，可以包括但不限于检测师基本信息、检测师日程安排列表等。其中检测师的基本信息可以包括但不限于检测师照片、姓名、性别、联系方式(电话、邮箱等)、检测经验、检测师等级、检测师评分、可检测商品类型等。为了理解方便，以下以检测师评分为例说明。在一些实施例中，检测师评分可以根据评分指标及其权重计算得出，其中评分指标可以包括但不限于检测经验，检测师等级，客户历史评价等，其中权重设置方法可以包括但不限于主观经验法，主次指标排队分类法，专家调查法等。在一些实施例中，数据库420中还可以储存有检测师日程安排列表。检测师日程安排列表可以包括但不限于检测师的已被预约时间、未被预约时间(可用时间)、预约变更情况、请假、休假等信息中的一种或几种的组合。数据库420 中用于数据存储的存储器件可以是网络云盘，磁盘阵列，CD/DVD驱动器，磁带驱动器或可移动的存储介质等中的一种或几种的组合。其中，可移动的存储介质可以包括但不限于U盘，移动硬盘，软盘，光盘，存储卡等。
在一些实施例中，预约/分配单元402-1还可以包括一个处理/判断单元421，用于获取、处理来自分类处理单元401的商品提供者的预约信息、商品信息和/或获取来自数据库420的检测师信息，并可以对其进行计算和/或判断处理。处理/判断单元421的数据处理方式根据处理设备的结构方式区分，可以是联机处理方式，也可以是脱机处理方式；根据数据处理时间的分配方式区分，可以是批处理方式，分时处理方式，也可以是实时处理方式；根据数据处理空间的分布方式区分，可以是集中式处理方式，也可以是分布处理方式；根据计算机中央处理器的工作方式区分，可以是单道作业处理方式，多道作业处理方式，也可以是交互式处理方式。处理/判断单元421对获取的信息的处理操作可以包括但不限于：数据转换、数据分组、数据组织、数据计算、数据存储、数据检索、数据排序等。其中，数据计算可以包括但不限于加、减、乘、除四则运算，与、或、非、异或等逻辑操作，以及移位、求补等操作。处理/判断单元421可以包含一个或多个处理器，处理器可以是任何通用处理器，例如，一个经过编程的可编程逻辑器件(PLD)，或者一个专用集成电路(ASIC)，或者一个微处理器，也可以是一个系统芯片(SoC)等。
在一些实施例中，预约/分配单元402-1还包括一个信息创建单元422。信息创建单元422可以用于依照处理/判断单元421处理的信息创建预约订单，并将生成的预约订单发送至输出模块204。
需要注意的是，以上描述仅仅是关于一个特定实施例的预约/分配单元402-1。可以理解，对于本领域的技术人员来说，在了解预约分配单元的基本原理后，可能在不背离这一原理的情况下，对实施预约/分配单元的具体方式与步骤进行形式和细节上的各种修正和改变。例如，可以根据实际需要，将信息创建单元整合到处理/判断单元421中；不包括数据库420，并将将数据库420存储的信息存储在存储模块202中。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图4-3是检测师预约/分配流程图。根据图4-3，在步骤S430，获取来自分类处理单元401、数据库420和/或存储模块202的预约信息、检测师信息。其中预约信息可以包括但不限于预约时间、预约地点、预约检测商品名称、商品类型、商品型号等中的一种或几种的组合。其中检测师信息可以包括但不限于检测师可检测商品类别、检测师等级、检测师可用时间、检测师被预约时间、检测师休假、请假情况等中的一种或几种的组合。在步骤S431，由处理/判断单元421判断预约信息与检测师信息是否匹配。若上述信息匹配则进入步骤S432，向该检测师、商品提供者推送商品预约信息；若不匹配，则进入步骤S433，不向该检测师、商品提供者推送商品预约信息。其中，向检测师推送的商品预约信息可以包括但不限于商品提供者基本信息(可以包括但不限于商品提供者的姓名、 联系方式等)、检测商品类别、检测地址、检测时间等中的一种或几种的组合；其中，向商品提供者推送的商品预约信息可以包括但不限于检测师基本信息(可以包括但不限于检测师照片、检测师姓名、性别、联系方式、检测经验、检测师等级、检测师评分等)、检测商品类别、检测地址、检测时间等中的一种或几种的组合。商品预约信息推送方式可以是客户端、邮件、短信、电话等中的一种或几种的组合。
为了理解方便，以下对步骤S431作出详细说明。在一些实施例中，步骤S431的匹配方式可以根据单个判据，也可以根据多个判据。当匹配方式根据多个判据时，不同判据之间可以采取并行或者串行的结构关系。在串行的结构关系中，即使只有一个判据的匹配结果为否，则流程结束，不向该检测师、商品提供者推送商品预约信息。在并行的结构关系中，只要有一个判据的匹配结果为是，则流程结束，向该检测师和/或商品提供者推送商品预约信息。
在一些实施例中，匹配方式还可以是一个基于多个判据的综合判断打分流程。例如，通过给不同判据分配各自的权重，得到一个综合分数，以这一分数与一个预设的阈值进行比较，以决定匹配结果。
在一些实施例中，匹配方式还可以是一个根据整个系统结果进行的最优化选择过程。例如，在确定了多个检测师作为候选者后，进一步选择判据，继续判断/打分过程，进一步筛选后续检测师，直到最终挑选出最优化的一个或多个检测师。
在一些实施例中，判据判断的形式可以包括但不限于：将判据中的一个特征值与判据中的一个阈值进行对比；判断一个特征值是否 落入判据中的一个数值范围；将一个特征值可以按照判据中的排名/给分规则进行排序或分配分数，并与一个次序或分数的阈值进行比较；判断特征结果是否触发判据中的某一事件；判断特征结果是否符合判据中的某一模式等；或者以上几种形式的组合。
在一些实施例中，判据的特征值可以包括但不限于时间、地点、商品种类、检测师等级、检测师评分等中的一种或几种的组合。例如，首先匹配检测师的检测商品类型与预约信息中的商品类型是否一致，一致则将预约时间与检测师的可用时间进行比较。如果检测师的可用时间落入预约时间的区间内，则认为结果匹配，发送商品预约信息；若果不一致，则判定该检测师不符合该商品检测预约的判据要求，结束判定流程。
根据本申请的一些实施例，图4-4是评估单元402-2结构图。据图4-4所示，评估单元402-2可以包含一个计算/处理单元440和一个评估信息生成单元441。其中，计算/处理单元440可以用于获取来自分类处理单元的商品检测信息，来自存储模块202的商品信息、同类商品信息、同类商品价格信息、商品评估规则、评估标准、商品估价模型等中的一种或几种的组合。其中，商品检测信息可以包括但不限于商品的种类，品牌、型号、购买日期、使用年限、颜色、形状、商品尺寸、商品配置参数、材质、商品折旧情况、商品出售价位期望值等中的一种或几种的组合。在一些实施例中，基于商品种类的不同，所提交的商品信息也随之不同。例如，古董类商品信息可以包括但不限于古董制作年代、古董材质、古董产地、历史价值、文化价值、科 研价值、古董保存的完整情况。其中，古董保存的完整情况还可以包括是否有裂痕、是否完整、是否变形、是否褪色、是否老化等中的一种或几种的组合；例如，二手车商品信息可以包括但不限于二手车的品牌、型号、颜色、行驶里程、行驶年限、配置情况、车辆排量、有无大修、大修次数、有无重大碰撞、车窗玻璃、车灯、车辆缝隙、发动机、水箱、内饰有无划痕或污渍、浸泡、破损、安全带系统、安全气囊系统、车身稳定系统、刹车系统、雨刷器、仪表系统、电动车窗、行驶系统、是否有违章记录、是否有待处理的违章记录、是否有完整的过户信息等中的一种或几种的组合；例如，二手房商品信息可以包括但不限于二手房地址、建房时间、所在楼层、厅室数量、厅室布局、房屋面积、朝向、交通情况、购物情况等。其中交通情况可以包括有无公交站、地铁站以及距离公交站或地铁站的距离，购物情况等可以包括有无超市、购物商场以及距离超市或购物商场的距离等中的一种或几种的组合。
在一些实施例中，计算/处理单元440还可以用于对获取的信息进行计算、拟合、转换、归类等。例如，获取区域权重对区域得分Gi进行加权计算商品评估得分Gall。在一些实施例中，商品评估得分可以通过以下公式得到，Gall：
Figure PCTCN2016075466-appb-000001
式中Wi表示第i区域的权重值，Emax表示区域总数量。另外，还可以通过获取商品评估得分计算商品成新率Rank。在一些实施例中，商品成新率Rank可以通过以下公式得到，Rank：
Figure PCTCN2016075466-appb-000002
式中Gimax表示第i区域的最大分数值。计算/处理单元440还可以采用成本折价法评估商品价格Pe。在一些实施例中，商品价格Pe可以通过以下公式得出，Pe：
Pe＝Po×Rank+Pa，  (3)
式中Po表示商品原始价格，通过乘以商品成新率Rank，加上商品附加值Pa(如保险现存价值、装饰现存价值等)，计算获取商品评估价格Pe。
在一些实施例中，评估单元402-2还可以包含一个评估信息生成单元441，用于生成经过计算/处理单元440计算、处理后的评估结果，并将评估结果输送至输出模块204。评估结果可以是商品的评估等级，其中评估等级可以包括但不限于五级制划分、百分制划分等和/或商品的价值评估。评估结果可以是文字、图像、视频、动画、音频的一种或几种组合的形式。图像可以是2D图像也可以是3D图像，还可以是两种图像的组合形式。
根据本申请的一些实施例，图4-5是商品评估流程图。据图4-5所示，在步骤S450，计算/处理单元440获取来自分类处理单元401的商品信息、检测信息。其中，商品信息可以包括但不限于商品类型、 商品型号、商品名称、商品配置参数、商品使用年限、同类商品信息、同类商品价格信息、商品构造、商品环境信息、商品社会信息等中的一种或几种的组合。其中，检测信息可以包括但不限于商品的外观情况、商品的使用情况、商品的零部件情况等中的一种或几种的组合。在一些实施例中，针对不同的商品，商品检测项目也可以不同。例如，对于古董类商品：可以包括但不限于古董类商品的真伪情况、制造年代、古董材质，古董产地历史价值、文化价值、科研价值、古董保存的完整情况等中的一种或几种的组合。其中，古董保存的完整情况还可以包括但不限于是否有裂痕、是否完整、是否变形、是否褪色、是否老化等中的一种或几种的组合。对于二手车类商品：可以包括但不限于车漆的平整、颜色、车窗玻璃、车灯、车辆缝隙、发动机、水箱、内饰有无划痕或污渍、浸泡、破损、安全带系统、安全气囊系统、车身稳定系统、刹车系统、雨刷器、仪表系统、电动车窗、行驶系统、是否有违章记录，是否有待处理的违章记录，是否有完整的过户信息等中的一种或几种的组合。对于二手房类商品：可以包括但不限于房屋的构局、房物装修情况、墙面有无裂痕、门窗情况、采光情况等中的一种或几种的组合。
在步骤S451，计算/处理单元440获取来自存储模块202的商品检测信息权重分配规则、商品估值模型、商品评估标准、同类商品信息、同类商品价格信息等中的一种或几种的组合。其中，权重分配规则可以是针对商品的配置参数设定，也可以是针对购买者的偏好信息和/或需求信息设定，也可以是结合上述两种信息设定的分配规则。
在步骤S452，针对获取的检测信息和权重分配规则和/或估值模型进行计算并获得商品评估结果。其中，商品评估结果可以是商品整体和/或某一特定区域的评估等级。在一些实施例中，评估等级可以包括但不限于等级制或分数制等。例如在等级制的实施例中，等级制可以是包含两级及以上任何数量的等级制度，可以包括但不限于三级制、五级制、十级制等五分制、百分制等。在分数制的实施例中，分数制可以是包含两分及以上任何数量的分数制度，可以包括但不限于三分制、五分制、十分制、百分制等。为了理解方便，下面以五级制和百分制为例进行说明。五级制划分可以将评估等级定义为5级制，分别为5颗星、4颗星、3颗星、2颗星和1颗星表示。其中，可以用5颗星表示最接近新商品，用1颗星表示损坏严重的商品。百分制可以将商品的评估等级按评估分数划分。其中，分值越高可以代表商品越接近新商品，分数越低可以代表商品受损坏程度越严重。
为了理解方便，以下对五级制进行说明。例如，在一些实施例中，车辆的外观可以通过表1的方式来定义星级水平。如表1所示，五星级(★★★★★)评星标准为全车原漆，无任何划痕凹塘；四星级(★★★★☆)评星标准为除前后保外全车原漆，仅有可抛光去除的轻微划痕；三星级(★★★☆☆)评星标准为喷漆面积超过两扇门以上，有多处轻微划痕和轻微凹陷；二星级(★★☆☆☆)评星标准为喷漆面积超过四扇门以上，有中度划痕或凹塘、轻微生锈；一星级(★☆☆☆☆)评星标准为全车喷漆，有多处划痕、较大面积的凹陷、重度生锈、破裂。
表1
Figure PCTCN2016075466-appb-000003
例如，在一些实施例中，车辆的内饰可以通过表2的方式来定义星级水平：
表2
Figure PCTCN2016075466-appb-000004
在一些实施例中，商品评估结果还可以是商品整体和/或某一特定区域的价值评估结果。其中，价值评估(估价)可以有多种实现手段，例如可以根据商品检测信息加上评估师的经验直接获得一个估价，也可以根据客户所关注的主要检测信息加上加上评估师的经验直接获得一个估价。其中，估价还可以通过商品的估价模型获得估价。其中，商品的估价模型可以包括但不限于成本折价法、重置成本法、收益现值法、现行市价法、清算价格法等中的一种或几种的组合。估价可以直接得出一个价格，也可以得出一个中间结果，通过对该中间结果的折算来获得估价。
根据本申请的一些实施例，图4-6是3D成像单元的结构图，用于构建商品的3D图像。3D成像单元402-3可以包括一个3D成像处理器460，用于从分类处理单元401以及存储模块202获取信息，构建商品的3D图像。存储模块202可以用于存储商品信息、2D到3D图像转换方法等。其中，商品信息可以包括但不限于商品名称、商品型号、商品类别、商品构造、商品配置、商品使用参数、商品的各方图像信息、商品零件的各方图像信息等中的一种或几种的组合。其中，2D到3D图像转换方法可以包括但不限于平面单应法、基于运动特征的深度估计方法、运动结构推断方法、基于聚焦度方法、基于灭点和灭线的方法、基于运动视差的方法、基于语义信息的方法、基于及其学习的方法、基于平面视差的方法、基于遮挡关系的方法等中的一种或几种的组合。
在一些实施例中，3D成像处理器460还可以包括一个预处理单元460-1，用于对获取的图像信息进行预处理。其中，预处理可以包括但不限于图像数字化、图像几何变换、图像归一化、图像平滑、图像复原、图像增强等中的一种或几种的组合。图像归一化方法可以是灰度归一化、几何归一化、变换归一化等中的一种或几种的组合。图像平滑方法可以是中值法、局部求平均法、k近邻平均法和空间频率域带通滤波方法等中的一种或几种的组合。图像增强技术可以采用反差展宽、对数变换、密度分层和直方图均衡等中的一种或几种的组合。
在一些实施例中，3D成像处理器460还包括一个图像分割单元460-2，用于将图像的每个物体单独分割开。图像分割单元460-2分割算法可以是基于闭值的分割方法、基于边缘检测的分割方法、基于区域提取的分割方法、结合特定理论的分割方法等中的一种或几种的组合。其中，特定理论可以包括但不限于图论、模糊理论、小波分析、小波变换、神经网络、遗传算法、粗糙集理论、数学形态学、灰色系统理论等中的一种或几种的组合。
在一些实施例中，3D成像处理器460还包括一个深度图像生成单元460-3，用于获取图像的深度信息，根据一定的成像方法生成深度图像。深度图像的生成单元包括一个深度成像传感器。其中，深度成像传感器可以是主动式深度成像传感器、被动式深度成像传感器、接触式深度成像传感器、非接触式深度成像传感器等中的一种或几种的组合。成像方法可以是激光雷达深度成像、坐标测量机法、莫尔条 纹法、立体视觉技术、点测距法、几何光学聚焦法、Moire拓扑技术、全息干涉测量法、Fresnel衍射技术和结构光法等中的一种或几种的组合。其中，激光雷达深度成像可以利用激光阵列距离扫描仪(又称为激光雷达)实现连续自动数据获取，激光雷达深度成像又可以分为扫描成像和非扫描成像。坐标测量机法利用坐标测量机以测量仪器的平台为参考平面建立机械坐标系，采集被测物体表面上的被测点的坐标值，并投射到空间坐标系中，构建被测物体的空间模型。立体视觉技术又可以分为双目立体视觉技术和多目立体视觉技术。双目立体视觉技术基于视差原理并利用成像设备从不同的位置获取被测物体的两幅图像，通过计算图像对应点间的位置偏差，来获取物体三维几何信息的方法。点测距法又可以分为脉冲法、相位法以及角测量法。几何光学聚焦法的原理是在焦距是可调的情况下，焦距在变化过程中，图像的某一部分处于最清晰位置，就可以计算出这部分的距离(物距)。Moire拓扑技术是将光栅的像或光栅的映像投射到三维物体上，物体反射的光波是受物体形状调制的光栅，即变形光栅，将变形光栅重叠到基准光栅上，产生Moire条纹，从而测量物体的形状。全息干涉测量法是利用全息照相获得物体变形前后的光波波阵面相互干涉所产生的干涉条纹图，以分析物体变形的一种干涉量度方法，全息干涉测量法又可以分为实时全息干涉法(单次曝光法)、二次曝光全息干涉法、时间平均全息干涉法、双波长干涉法以及双脉冲频闪全息干涉法等。Fresnel衍射指的是光波在近场区域的衍射，Fresnel衍射技术利用Fresnel衍射的原理对目标图像信息进行采集。结构光法的基本原 理是由结构光投射器向被测物体表面投射可控制的光点、光条或光面结构，并由图像传感器(如摄像机)获得图像，通过系统几何关系，利用三角原理计算得到物体的三维坐标。结构光成像的方式又可以分为光条法、栅格法、圆形光条、交叉线法、厚光条、空间编码模板、彩色编码条、密度比例等方法。在一些实施例中，3D成像处理器460还包括一个2D转3D转换装置460-4，可以将一张2D影像的数据转换成3D影像的数据。
在一些实施例中，3D成像单元402-3还包括一个3D图像生成单元461，用于获取3D成像处理器460的3D图像数据。在一些实施例中，3D图像数据可以是任何具有3D视觉效果的画面，包括但不限于3D图形和3D影像。3D图形可以是用计算机绘制出的任何画面。3D影像是通过视差看到的立体影像，利用人的双眼立体视觉原理，使观众能从视频媒介上获得三维空间影像，从而使观众有身临其境的感觉。3D影像可以包括3D静态影像和3D动态影像。其中，3D静态影像可以包括3D图片、3D照片等。3D动态影像可以包括但不限于3D视频、3D动画等。在一些实施例中，3D图像生成单元461可以生成以上3D图像中的一种，也可以同时生成以上3D图像中的多种。在一些实施例中，生成的3D图像还可以被传输至输出模块204。
需要注意的是，以上描述仅仅是关于一个特定实施例的3D成像单元402-3。可以理解，对于本领域的技术人员来说，在了解3D成像单元402-3的基本原理后，可能在不背离这一原理的情况下，对实施3D成像单元402-3的具体方式与步骤进行形式和细节上的各种修 正和改变。例如，3D成像构建单元460的一个或多个子单元可以直接配置在分类处理单元401中。例如，分类处理单元401中的子单元也可以不做划分，直接集成在3D成像构建单元460中。又例如，3D成像单元402-3也可以不包括一个3D成像构建单元460，其相应的处理操作可以由分类处理单元401执行。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图4-7是商品3D展示的流程图。据图4-7所示，在步骤S470，3D图像构建单元460可以用于从分类处理单元401和/或存储模块202获取商品信息、商品检测信息、3D图像构建方法、3D图像构建模型等中的一种或几种的组合。在一些实施例中，商品信息可以包括但不限于商品类型、商品型号、商品名称、商品出厂信息、商品配置参数、商品使用年限、同类商品信息、同类商品价格信息、商品构造、商品环境信息、商品社会信息等中的一种或几种的组合。在一些实施例中，检测信息可以包括但不限于商品的外观情况、商品的使用情况、商品的零部件情况等中的一种或几种的组合。在一些实施例中，可以针对不同的商品，设置不同的商品检测项目。例如，对于古董类商品：检测项目可以包括但不限于古董类商品的真伪情况、制造年代、古董材质、古董产地、古董保存的完整情况等中的一种或几种的组合。其中，古董保存的完整情况可以包括但不限于是否有裂痕、是否完整、是否变形、是否褪色、是否老化等中的一种或几种的组合。对于二手车类商品：检测项目可以包括但不限于车漆的平整、颜色、车窗玻璃、车灯、车辆缝隙、发动机、水 箱、内饰有无划痕或污渍、浸泡、破损、安全带系统、安全气囊系统、车身稳定系统、刹车系统、雨刷器、仪表系统、电动车窗、行驶系统、是否有违章记录、是否有待处理的违章记录、是否有完整的过户信息等中的一种或几种的组合。对于二手房类商品：检测项目可以包括但不限于房屋的构局、房物装修情况、墙面有无裂痕、门窗情况、采光情况等中的一种或几种的组合。
在步骤S471，3D图像的构建方法将被获取。其中，3D图像的构建方法可以包括但不限于平面单应法、基于运动特征的深度估计方法、运动结构推断方法、基于聚焦度方法、基于灭点和灭线的方法、基于运动视差的方法、基于语义信息的方法、基于及其学习的方法、基于平面视差的方法、基于遮挡关系的方法等中的一种或几种的组合。
在步骤S472，可以结合获取的商品信息和3D图像构建方法，对商品信息和/或检测信息进行处理，构建3D图像。其中，处理操作可以包括但不限于图像预处理、图像分割、图像深度信息生成、图像渲染等中的一种或几种的组合。图像预处理可以包括但不限于图像数字化、图像几何变换、图像归一化、图像平滑、图像复原、图像增强等一种或几种的组合。在步骤S473，获取构建商品的3D图像的信息，生成商品的3D图像。
需要注意的是，以上描述仅仅是关于商品3D展示流程图的一些实施例。可以理解，对于本领域的技术人员来说，在了解3D展示的基本原理后，可能在不背离这一原理的情况下，对图4-7进行形式和细节上的各种修正和改变。例如，步骤S470中的获取商品信息和 步骤S471中的获取3D图像构建方法，可以调换顺序或者同时进行。再例如，在步骤S472中3D图像构建之后，也可以添加一些后处理步骤。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图4-8是竞价单元402-4结构图，用于商品的拍卖竞价。据图4-8所示，竞价单元402-4可以包括一个拍卖模型构建单元480，用于获取来自分类处理单元401的商品信息(包括品牌、颜色、构造等)、估价信息、商品评估信息、商品配置信息、购买者的价格信息、商品提供者的价格信息、商品提供者的出售意愿信息以及存储模块202存储的同类商品的信息、同类商品的价格信息、同类商品相同评估等级的价格信息、商品的比价信息、商品的历史价格、拍卖规则等中的一种或几种的组合。其中，拍卖规则可以是公开叫价拍卖也可以是密封报价拍卖。其中，公开叫价拍卖可以包括但不限于英国式拍卖、荷兰式拍卖等，密封报价拍卖可以包括但不限于首价密封拍卖、维克瑞(Vickery)拍卖等。其中，英国式拍卖也称为公开增价拍卖，买家公开相互竞价，每次竞价都要比前一次的竞价更高，当没有人愿意继续竞价时拍卖结束，出价最高者需支付所报出的价格。荷兰式拍卖也称为公开降价拍卖，拍卖师以相对较高的价格起拍，然后逐步降低，直至有人愿意接受拍卖师开出的价格，胜出者需要支付最后一次宣布的价格。首价密封拍卖是指所有买家须同时提交密封好的报价，出价最高者支付其报出的价格。维克瑞(Vickery)拍卖也称为第二价格密封拍卖，其与首价密封拍卖基本相同，但是胜 出者需要支付的价格是第二高的报价。在一些实施例中，拍卖模型构建单元480还用于构建价格模型。
在一些实施例中，所述竞价单元402-4还可以包括一个计算单元481，用于将购买者的价格信息输入到拍卖模型构建单元480生成的价格模型，计算得到最终结果。在一些实施例中，竞价单元402-4还可以包括一个拍卖结果生成单元482用于生成最终竞价结果和匹配竞标胜出者的信息(可以包括但不限于用户名、价位信息等)，并可以将上述信息传输到输出模块204。
需要注意的是，以上描述仅仅是关于一个特定实施例的竞价单元结构。可以理解，对于本领域的技术人员来说，在了解竞价单元402-4的基本原理后，可能在不背离这一原理的情况下，对实施竞价单元402-4的具体方式与步骤进行形式和细节上的各种修正和改变，例如竞价单元402-4中的子单元可以直接集成在一起。例如可以将计算单元481和拍卖结果生成单元482省略，拍卖模型构建单元480可以直接计算竞价结果，匹配竞价胜出者的信息并将上述信息传输至输出模块204。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图4-9是商品拍卖的流程图。据图4-9，在步骤S490，可以从分类处理单元401获取商品信息。其中，商品信息可以包括但不限于商品的品牌、商品提供者的预期价位和/或存储模块202的商品的估值、同类商品的价位、商品的3D图像、商品的3D视频、商品的拍卖规则、拍卖起止时间、拍卖注意事项等 中的一种或几种的组合。诸如此类的变形，均在本申请的保护范围之内。
在步骤S491，可以展示当前商品信息和/或拍卖信息。其中，展示的形式可以包括但不限于是文字、声音、图像、视频、动画等中的一种或几种的组合。展示的时间可以根据系统自动设置或用户手动设置，例如可以是几个小时、几天、几个月等。展示的拍卖信息可以包括但不限于拍卖商品的名称、商品的种类、商品的估值价位、商品的配置参数、商品的检测结果、商品的评估结果、商品的地理位置、商品的环境信息、商品的交通信息、商品竞拍的开始时间、商品竞拍的结束时间、同类型其他商品的信息链接等中的一种或几种的组合。
在步骤S492，依照选取的商品拍卖规则建立拍卖价格模型，接收商品购买信息，计算商品的竞拍价格，匹配竞拍成功者的信息。其中，商品购买信息包括商品购买者信息与商品价格。
在步骤S493，商品提供者可以查看拍卖得出的竞价结果，如果同意拍卖得出的竞拍结果则拍卖成交，显示拍卖结果。其中，所述拍卖结果可以是公开的，所有人均可以获取竞拍结果，其中，竞拍结果可以是竞拍成交价位和/或竞拍成功的购买信息等；拍卖结果也可以是保密的，只向成交的双方即商品提供者和购买者提供双方的信息，例如用户名、联系方式和成交价位等。如果商品提供者不同意拍卖得出的竞拍结果，则本次拍卖失败，系统可以向各购买者反馈商品拍卖失败，系统可以自动安排下一次的竞拍时间。
需要注意的是，以上描述仅仅是关于一个特定实施例的处理模块结构及各子单元流程。可以理解，对于本领域的技术人员来说，在了解处理模块结构及各子单元流程的基本原理后，可以在不背离这一原理的情况下，对实施处理模块结构及各子单元流程的具体方式与步骤进行形式和细节上的各种修正和改变。例如，在步骤S493，当商品提供者同意竞价结果时，可以添加让竞价成功的购买者进行判断是否成交的步骤，如果购买者不愿意购买，则本次商品竞拍结束或进入下一次竞拍。例如，当商品提供者不同意竞价结果时，可以添加让商品提供者选择是否进入下一次竞拍的步骤，判断是否执行S495。再例如，步骤S495也可以省略掉，步骤S493判断为否时，再次返回步骤S490。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图4-10是商品定向推送/竞拍流程图。据图4-10所示，在步骤S4101，处理模块203可以获取购买者的感兴趣商品信息，其获取方式可以是购买者主动注册和/或登记，也可以是系统依照购买者的过往浏览记录统计获取。在步骤S4102，获取新商品信息。
在步骤S4103，判断商品提供者提供的新商品是否为目标商品。判断标准可以是用户注册和/或登记的商品信息，包括商品型号、商品名称、商品品牌等，也可以是系统统计的购买者的偏好信息。其中，目标商品可以是同一商品，也可以是与购买者感兴趣商品相似的同种类的商品。其中，相似商品的判断可以通过设定一个差异可接受范围。其中，两个商品差异的可接受范围，可以是购买者登记信息中明确指 出的，也可以是系统按照过往的交易情况得到的参数值。其中，过往的交易情况包括购买者本人的过往交易情况也包括其他购买者购买同类商品的交易情况。如果是目标商品，在步骤S4104则向对此类商品感兴趣的购买者推送商品信息；如果不是则执行步骤S4106。在步骤S4105，判断上述推送信息中的购买者是否想要参与该类商品的竞拍。如果上述购买者想要参与该商品竞拍，则在步骤S4107向上述购买者推送竞拍信息，如果不是则执行步骤S4108，取消竞拍信息的推送。
根据本申请的一些实施例，图5是检测师分配流程图。据图5，在步骤S501，处理/判断单元421获取商品信息。这一些实施例中，商品信息可以是商品名称、类别C1以及预约检测时间区间[T1，T2]等；在步骤S502，处理/判断单元421获取来自数据库420的检测师信息。在一些实施例中，检测师信息可以是可检测商品类别C2，可使用时间区间[T3，T4]等；在步骤S503，处理/判断单元421将预约商品类别C1与检测师可检测的商品类别C2进行比对；在步骤S504，处理/判断单元421判断商品类别C1与检测师可检测商品C2是否相符。如果商品类别C1与检测师可检测商品C2相符(C1＝C2)，则进入步骤S505，处理/判断单元421将商品预约时间[T1，T2]与检测师可使用时间[T3，T4]进行比对；如果商品类别C1与检测师可检测商品C2不相符，则进入步骤S508。
在步骤S506，处理/判断单元421判断商品预约时间[T1，T2]是否落入检测师可使用时间[T3，T4]范围内。如果商品预约时间[T1， T2]落入检测师可使用时间[T3，T4]范围内(T3≤T1且T4≥T2)，则进入步骤S507，向该检测师、商品提供者推送商品预约信息，并停止下一个检测师的预约匹配，流程结束；如果商品类别C1与检测师可检测商品C2不相符(C1≠C2)，则进入步骤S508，停止该检测师的信息匹配，进行其他检测师信息的匹配，本流程结束。
其中，步骤S503，S504，S505，S506的处理匹配过程，可以是全部元素同时进行，也可以是单一元素逐个进行。检测师匹配可以是针对一个检测师，也可以是针对一批检测师同时进行，并在步骤S506后，将各候选检测师的信息提供给商品提供者，由商品提供者自行选择检测师，之后再进行步骤S507。选择的标准可以是检测师的过往交易评分情况、检测师的等级和或其他检测师的信息的一种或多种标准的组合。
需要注意的是，以上描述仅仅是关于一些特定实施例的检测师预约/分配具体实施方式流程图。可以理解，对于本领域的技术人员来说，在了解预约分配流程基本原理后，可能在不背离这一原理的情况下，对实施预约、分配单元的具体方式与步骤进行形式和细节上的各种修正和改变。例如，步骤S501和步骤S502是可以调换次序或同时进行的。例如，处理/判断单元421可以首先获取来自数据库420的检测师信息：可检测商品类别C2，可使用时间区间[T3，T4]；再获取商品名称、类别C1以及预约检测时间区间[T1，T2]。之后将预约商品类别与检测师可检测的商品类别以及商品预约时间[T1，T2]与检测师可使用时间[T3，T4]分别进行比对。例如，步骤S503、S504、S505、 S506的顺序也是可以调换次序或同时进行的。例如，步骤S502之后，可以先进行步骤S505、S506，将商品预约时间[T1，T2]与检测师可使用时间[T3，T4]进行比对，判断商品预约时间[T1，T2]是否落入检测师可使用时间[T3，T4]范围内，之后再进行步骤S503、S504，将预约商品类别C1与检测师可检测的商品类别C2进行比对，判断商品名称、类别C1与检测师可检测商品C2是否相符。诸如此类的变形，均在本申请的保护范围之内。
为理解方便，本应用场景可以针对二手车检测师预约的实施例进行说明。在一些实施例中，二手车提供者A登记信息可以如表3所示：
表3
Figure PCTCN2016075466-appb-000005
待匹配检测师A信息可以如表4所示：
表4
检测师姓名 检测师A
检测师等级 二手车高级检测师
电话 13911111111
检车类别 越野汽车
可用时间 2015年10月21日(星期三)9：00-18：00
通过将预约二手车类别和检测师A的检车类别进行比对，发现类别不匹配，因此进入下一检测师匹配流程。
待匹配检测师B信息可以如表5所示：
表5
检测师姓名 检测师B
检测师等级 二手车高级检测师
电话 13922222222
检车类别 轿车
可用时间 2015年10月21日(星期三)9：00-12：00，13：00-14：30
通过将预约二手车类别和检测师B的检车类别进行比对，发现类别匹配，因此进入预约时间匹配步骤。将二手车提供者A的预约时间与检测师B的可用时间进行比对，发现二手车提供者A的预约时间并未完全落入检测师B的可用时间范围内，因此进入下一检测师匹配流程。
待匹配检测师C信息可以如表6所示：
表6
检测师姓名 检测师C
检测师等级 二手车高级检测师
电话 13933333333
检车类别 轿车
可用时间 2015年10月21日(星期三)14：00-18：00
通过将预约二手车类别和检测师C的检车类别进行比对，如果发现类别匹配，因此进入预约时间匹配步骤。在预约时间匹配步骤中，可以将二手车提供者A的预约时间与检测师C的可用时间进行比对，如果发现二手车提供者A的预约时间完全落入检测师C的可用时间范围内，则向检测师C以及二手车提供者A推送二手车预约信息。
向二手车提供者A推送的预约信息可以如表7所示：
表7
二手车名称 宝马Z4
二手车类别 轿车
预约时间 2015年10月21日(星期三)14：00-16：00
预约地址 北京市海淀区鼎好电子大厦
检测师姓名 检测师C
检测师等级 二手车高级检测师
检测师电话 13933333333
向检测师C推送的预约信息可以如表8所示：
表8
二手车名称 宝马Z4
二手车类别 轿车
预约时间 2015年10月21日(星期三)14：00-16：00
预约地址 北京市海淀区鼎好电子大厦
预约人姓名 二手车提供者A
预约人电话 12345678999
根据本申请的一些实施例，图6是二手车质量评估的流程图。据图6所示，在步骤S601，获取二手车技术指标折旧率Yi。其中，二手车技术指标折旧率可以根据外观状况、内饰、底盘、发动机、转向系统、行驶系统、离合器情况、悬挂系统、润滑系统、变速器、制动系统、冷却系统、大修次数、排污指标、行驶平顺性、操作稳定性、加速动力性等中的一种或几种的组合计算得出。计算各技术指标折旧率的方法可以是年限平均法，工作量法，双倍月递减法，也可以是年数总和法。本实施例选用的是年限平均法，可以根据各项技术指标所对应零部件的损坏程度确定校对系数，结合校对系数对所得各技术指标折旧率进行系数校对。
在步骤S602，获取各技术指标权重Xi分配规则。其中，权重Xi分配规则设置方法可以包括但不限于主观经验法，主次指标排队分类法，专家调查法等。本实施例选用的是主观经验法，其值可以由人工根据权重Xi分配规则设定，也可以由系统按照权重Xi分配规则自行生成。本实施例选用的是由系统按照权重Xi分配规则自行生成。
在步骤S603，根据以下公式获取二手车折旧情况D。
Figure PCTCN2016075466-appb-000006
在一些实施例中，该公式也可以为其他形式。
在步骤S604，根据二手车折旧情况，获取二手车评估情况，二手车评估情况可以用评级代码表示，也可以用星级(或者其它图形或图案)表示，本实施例选用的是用星级表示。折旧情况与评估情况的对应原则可以是一个值对应一个评级代码(或星级)，也可以是一个范围对应一个评级代码(或星级)，本实施例选用的是一个范围对应一个星级。
为理解方便，以下以具体实施例说明。一辆车龄为5年的宝马Z4系列的二手车，经检测师A检测后，得到的检测信息可以如表9所示(作为一种示例，为方便说明，本实施例中二手车技术指标为外观状况、内饰、底盘、发动机)：
表9
技术指标 检测结果
外观状况 全车原漆，仅有可抛光去除的轻微划痕
内饰 内饰有轻微划痕或污渍，可抛光或清洗打蜡处理
底盘 底盘完好，无明显故障
发动机 发动机正常工作(有轻微异响)
计算各技术指标的折旧率Yi，转化为如表10所示：
表10
i 技术指标 折旧率Yi
1 外观状况 48％
2 内饰 45％
3 底盘 42％
4 发动机 58％
根据主观经验法，各技术指标的权重Xi可以如表11所示：
表11
i 技术指标 权重Xi
1 外观状况 18％
2 内饰 12％
3 底盘 30％
4 发动机 40％
根据公式(4)，该二手车的折旧情况为50％。
二手车的评级标准可以如表12所示：
表12
星级 折旧率
★★★★★ 5％-20％
★★★★☆ 20％-40％
★★★☆☆ 40％-60％
★★☆☆☆ 60％-80％
★☆☆☆☆ 80％-98％
所以，该二手车最终的评估结果为三星(★★★☆☆)。
根据本申请的一些实施例，图7是汽车3D展示的流程图。为理解方便，以二手车大众速腾1.4TSI-手动为例来说明。据图7所示，在步骤S701，获取二手车信息包括品牌信息：大众；型号信息：速腾1.4TSI-手动；出厂年份：2012年，以及所述二手车的车辆配置参数，可以如表13-18所示。其中，车辆配置参数可以包括但不限于基本参数、发动机参数、底盘及制动参数、安全配置参数、外部配置参数、内部配置参数等中的一种或几种的组合。二手车检修信息包括外观内饰检测信息，可以包括但不限于漆面平整、漆面颜色、外观件更换、二手车外观各方向图片等中的一种或几种的组合；在一些实施例中，二手车检修信息还可以包括安全带系统、安全车灯系统、仪表指示灯、空调系统、座椅系统、刹车系统、制动系统的参数及各方向图片等中的一种或几种的组合。这里列举的信息种类仅供说明之用。二手车信息也可以是为其他信息，例如二手商品对应的一手商品的价钱，功能差别。另外，本流程也可以用于新商品的拍卖，如一手房，一手车，一手珠宝等。
如表13所示，二手车基本参数包括但不限于厂商、二手车级别、发动机参数、变速箱类型、车身结构、车身尺寸、轴距、行李箱容积、整备质量等。如表14所示，二手车的发动机参数包括但不限于排量、进气形式、气缸、最大马力、最大扭矩、燃料类型、燃油标号、供油方式、排放标准等。
表13
Figure PCTCN2016075466-appb-000007
表14
Figure PCTCN2016075466-appb-000008
表15
Figure PCTCN2016075466-appb-000009
表16
Figure PCTCN2016075466-appb-000010
表17
Figure PCTCN2016075466-appb-000011
表18
Figure PCTCN2016075466-appb-000012
在步骤S702，获取来自存储模块202的所述二手车的车辆3D模型和3D图像构建方法。为理解方便，以平面单应法为例进行说明。在步骤S703，对二手车的图像信息进行处理，进行图像构建。其中， 处理操作包括预处理，可以包括但不限于图像数字化、图像几何变换、图像归一化、图像平滑、图像复原、图像增强等操作中的一种或几种的组合；在一些实施例中，处理操作还可以包括单个图像分割处理，将图像的每个个体分割出来；在一些实施例中，处理操作还可以包括计算图像深度，根据平面曲线的三围重构、圆锥曲线的三围重构、圆的三围重构以及直线的三围重构原理计算各图像的不同特征曲线的深度，生成深度图像。并选取平面单应法构建该二手车的3D图像。在步骤S704，将获取的3D图像构建数据传输至3D图像生成单元461，生成上述二手车的3D图像。
在一些实施例中，步骤S704生成的3D图像可以是该二手车的整体外观图像也可以是其某一个零部件的3D图像。可以同时生成二手车的出场信息构建的新车3D图像和二手车检测信息获取的3D图像，更直观的让购买者浏览二手车的使用情况。
需要注意的是，以上描述仅仅是关于一个特定实施例的二手车3D展示具体实施方式流程图。可以理解，对于本领域的技术人员来说，在了解二手车3D展示具体实施方式流程基本原理后，可能在不背离这一原理的情况下，对实施二手车3D展示的具体方式与步骤进行形式和细节上的各种修正和改变。例如，在进行3D图像构建前，针对检测到的该二手车的检测信息与二手车的出厂配置信息进行校对，针对受损情况、更换情况的位置坐标进行标注，并在最终生成的3D图像上相应部位进行相应的展示和标注。例如，针对车漆的平整情况，出现过摩擦、脱色情况的部位，识别坐标并做出重点标识，购 买者可以直观观测到受损情况，还可以针对该局部进行放大浏览。诸如此类的变形，均在本申请的保护范围之内。
根据本申请的一些实施例，图8是汽车估价方式的流程图。为理解方便，以下用二手车估计方式来说明。据图8所示，在步骤S801，获取二手车检测信息。其中，所示二手车监测信息可以包括但不限于车龄、行驶里程、有无大修情况等中的一种或几种的组合。在步骤S802，获取二手车估价模型。在一些实施例中，该估计模型可以通过一个公式获得车辆的评估价值V：
V＝Pm·C1·C2，  (5)
式中Pm表示该上牌年代该车型的市场均价，C1表示同型号下不同款新车价的比例系数，C2表示里程车况系数。其中，该上牌年代该车型的市场均价是指在统计了大量同年同型号的二手车出价记录的基础上，权衡个人出价和商家出价的不同情况不同成本而得出的当前市场对该年该型号的二手车的加权平均价格。其中，同型号下不同款新车价的比例系数是指某款车结合具体每项配置价格以及自身的新车价与同型号下交易量最大的款型的新车价的比较得出的系数。其中，里程车况系数是指具体一辆二手车的行驶里程数和车况与所有同年上牌的同型号车的平均行驶里程数和总体车况的量化比较得出的系数。二手车的估值方式除上述估值公式外，还可以采用重置成本法、收益现值法、现行市价法、清算价格法、快速折旧法及其相应估值公式中的一种或几种的组合。
在步骤S803，判断该二手车有无大修情况。如果没有，则进入步骤S804，获取该二手车评估价值V；如果有，则进入步骤S805，并结合大修次数、整修程度确定二手车估价校正系数a。在步骤S806，结合大修情况对二手车估价进行系数校正，得到车辆评估校正价值V’：
V'＝V·a，   (6)
一辆宝马Z4 sDrive35i系列二手车，经二手车卖家登记及检测师A检测后，获取信息可以如表19所示：
表19
Figure PCTCN2016075466-appb-000013
根据公式(5)评估车辆价值V。例如从信息源105获取到2010年上牌的宝马Z4 sDrive35i系列轿车的市场均价为25万，同型号下不同款新车价的比例系数为0.85，并将该二手车的行驶里程数和车况与所有同年上牌的同型号车的平均行驶里程数和总体车况量化比较后，得出里程车况系数为0.8。计算出V＝17万。由于该二手车经历过大修，需要结合下表获取估价校正系数。如表20所示，若二手车只经历一次大修则直接针对大修程度选取相应的估价校正系数，如果相同部分经历过n次大修，则估价校正系数为这部分大修对应的估价校正系数的n次方，例如某车进行过2次发动机大修，则估价校正系数为a＝0.72＝0.49；若进行过不同部分的大修，则估价校正系数为不同部 分大修分别对应的估价校正系数的n次方的乘积，其中n为大修次数，例如，某车进行过2次发动机大修和1次变速器大修，则估价校正系数a＝0.72×0.8＝0.392。结合上述该二手车的大修次数，大修程度，得出该二手车的估价校正系数a＝0.7。结合估价校正系数a和车辆评估价值V，得出车辆评估校正价值V’＝11.9万。所以，该二手车的最终评估价值为11.9万。
表20
Figure PCTCN2016075466-appb-000014
根据本申请的一些实施例，图9是商品拍卖方式流程图。为理解方便，以下用二手商品拍卖为例进行说明。据图9所示，在步骤S901，获取二手商品信息、竞标信息、购买者信息、实时时间等中的一种或几种的组合。其中，二手商品信息可以包括但不限于商品名称、商品类别、检测信息、评估信息、估值信息等中的一种或几种的组合；其中，竞标信息可以包括但不限于竞标起始时间、竞标截止时间等； 其中，购买者信息可以包括个人或企业。如果购买者代表个人，购买者信息可以包括但不限于购买者称呼、联系方式(电话、邮箱等)等，如果购买者代表公司，购买者信息可以包括但不限于公司名称、联系人名称、联系方式(电话、邮箱等)、购买者所代表公司简介等中的一种或几种的组合。
在步骤S902，选取竞标规则，竞标规则可以是英国式拍卖规则，荷兰式拍卖规则，一级价格密封拍卖规则，也可以是二级价格密封拍卖规则(Vickery竞价规则)等。本实施例选择的是Vickery竞价规则进行描述。在步骤S903，当判断实时时间为竞标开始时间时，开始竞标。在步骤S904，获取购买者出价信息。在步骤S905，判断实时时间为竞标截止时间时有无竞标人员，如果没有竞标人员，则进入步骤S906，系统重新安排竞标时间，本次竞标结束；如果经步骤S905判断有竞标人员，则进入步骤S907，根据购买者出价和Vickery规则，计算竞标值，并在步骤S908，将成交价格(竞标值)提供给商品提供者，判断商品提供者是否同意该成交价格，如果商品提供者不同意该成交价格，则进入步骤S906，本次竞标结束，安排下一次竞标。经判断商品提供者同意该成交价格，则进入步骤S909，显示竞标结果，竞标结果可以包括但不限于中标者信息、成交价格、成交时间等。在步骤S908，当商品提供者不同意成交价格时，进入步骤S906，安排下一次竞拍。
为理解方便，下面以一个具体实施例加以说明。例如，某场二手车竞拍，竞拍时间为2015年10月21日14：00-14：30，待竞拍二 手车信息可以如表21所示，待竞拍二手车信息包括但不限于二手车名称、二手车类别、车龄、行驶里程、证照完备度、折旧率、评估等级、评估价格、检测具体情况等。
表21
Figure PCTCN2016075466-appb-000015
购买者信息可以如表22所示：
表22
Figure PCTCN2016075466-appb-000016
实时时间为2015年10月21日14：00时，竞拍开始。在14：00-14：30这段时间内，购买者可以浏览竞拍二手车的基本信息、检测信息、估价信息、3D展示信息等，并在竞拍截止之前给出自己的出价。当实时时间为2015年10月21日14：30时，竞拍结束，购买者停止出价。此时若无人出价，则系统会重新安排竞拍时间，本次竞拍结束；若有人出价，则系统会根据出价信息得出最高竞标值及中标者。假设此时有人出价，出价信息如表23所示：
表23
购买者 出价
A 30万
B 32万
C 无
D 28万
因此，出价最高者为购买者2，根据Vickery规则中“最高价者中标，次高价成交”的原则，成交价为30万。
此时询问二手车提供者是否同意此成交价，如果提供者不同意，则重新安排下一次竞拍，此次竞拍结束；如果提供者同意，则会公布竞标结果。例如，提供者同意此成交价，竞标结果如表24所示，公布的竞标结果包括但不限于二手车名称、二手车类别、二手车提供者、提供者联系方式、二手车评估价格、二手车成交价格、中标者、中标者联系方式、竞拍时间等。
表24
二手车名称 宝马Z4
二手车类别 轿车
二手车提供者 二手车提供者1
提供者联系方式 12345678999
二手车评估价格 27.3万
二手车成交价格 30万
中标者 购买者2(个人)
中标者联系方式 13622222222
竞拍时间 2015年10月21日14：00-14：30
根据本申请的一些实施例，图10是房屋定向推送/竞拍方式的流程图。为理解方便，以下以二手房定向推送/竞拍为例进行说明。据图10所示，在步骤S1001，获取购买者感兴趣的二手房信息。其中，所述二手房信息可以包括但不限于住房地址、住房面积、户型、楼层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等中一种或几种的组合。获取方式，可以是二手房购买者在服务器203上，直接注册信息，也可以是服务器203针对购买者过往的商品浏览记录，通过统计、计算、模拟等方式获取。例如，购买者在近一个月内，多次浏览位于北京通州一室一厅的二手房信息，系统则会经过统计获取购买者近期感兴趣商品为北京通州一室一厅的二手房。
在步骤S1002，获取新上架二手房信息，可以包括但不限于住房地址、住房面积、户型、楼层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等中的一种或几种的组合。在步骤 S1003，将购买者感兴趣的二手房信息与新上架二手房信息进行匹配。在步骤S1004，判断是否有至少两个元素相匹配，如果没有至少两个元素相匹配，则进入步骤S1005，不向该购买者推送新上架二手房信息；如果有至少两个元素相匹配，则进入步骤S1006。在步骤S1006，向该购买者推送新上架二手房信息，可以包括但不限于住房地址、住房面积、户型、楼层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等中的一种或几种的组合。这里列举的信息种类仅供说明之用。步骤S1002也可以接收其他信息，例如二手商品对应的一手商品的价钱，功能差别。另外，本流程可以用于新商品的拍卖，如一手房，一手车，一手珠宝等。
当向该购买者推送新上架二手房信息后，在步骤S1007，判断该购买者是否想要竞拍推送的二手房。其中，所述判断方式可以是邮件咨询、服务器上购买者个人账户咨询、电话咨询、短信咨询等中的一种或几种的组合。如果购买者不想竞拍，则进入步骤S1008，不向该购买者推送竞拍信息；如果购买者想竞拍，则进入步骤S1009。在步骤S1009，向该购买者推送竞拍信息，可以包括但不限于拍卖时间、拍卖规则、拍卖二手房信息等，拍卖二手房信息可以包括但不限于住房地址、住房面积、户型、楼层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等中的一种或几种的组合。
需要注意的是，以上描述仅仅是关于一个特定实施例的二手房定向推送/竞拍具体实施方式流程图。可以理解，对于本领域的技术人员来说，在了解定向推送/竞拍流程的基本原理后，可能在不背离这一 原理的情况下，对实施定向推送/竞拍的具体方式与步骤进行形式和细节上的各种修正和改变。例如，在步骤1004，判定条件可以是判断是否有至少某一个或某几个元素相匹配，也可以是首先判断是否匹配某一个或某几个特定元素，之后判断其余元素中是否有至少某一个或某几个元素相匹配。诸如此类的变形，均在本申请的保护范围之内。
为理解方便，以下用实施例加以说明。例如，购买者A登记了自己感兴趣的二手房信息，可以如表25所示，购买者A登记的感兴趣的二手房信息可以包括住房地址、住房面积、户型、估价价格等。住房面积和估价价格可以是一个数值，也可以是一个数值范围。
表25
住房地址 住房面积(m2) 户型 估价价格
北京市海淀区中关村 60-90 2室 300万-500万
获取新上架二手房信息，可以如表26所示，在此实施例中，在某一时段内，新上架二手房为A、B、C、D。新上架二手房信息包括但不限于住房地址、户型、住房面积、楼层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等。
将购买者感兴趣的二手房信息与新上架二手房信息进行匹配，判断是否有至少两个元素相匹配。
判断结果为二手房A，B，D符合条件，因此向购买者A推送二手房A，B，D的信息。
表26
Figure PCTCN2016075466-appb-000017
之后询问购买者A是否想要竞拍二手房A，B，D。如果购买者A不想竞拍任何二手房，则不想购买者A推送竞拍信息；如果购买者A想要竞拍二手房。例如，购买者A想要竞拍二手房B，则向购买者A推送二手房B的竞拍信息，可以如表27所示，向购买者A推送的二手房B的竞拍信息包括但不限于拍卖信息、参与拍卖的二手房信息。其中，拍卖信息包括但不限于拍卖时间、参与拍卖人数等。参与拍卖的二手房信息包括但不限于住房地址、户型、住房面积、楼 层、估价价格、建造年代、内部装修、建筑结构、房屋朝向、房屋类型等。
表27
Figure PCTCN2016075466-appb-000018
以上通过具体实施例，对商品拍卖发系统在一手或二手车、古董、一手或二手房等领域中的具体应用进行了描述。需要注意的是，以上示例或列举，并不用于局限商品拍卖系统的应用领域或场景，本领域的技术人员，在理解了本申请的内容后，可以容易地将本申请的构思，应用到其他商品领域，例如，钻石、首饰等。诸如此类的变形，均在本申请的保护范围之内。
因为可以在不背离权利要求所限定的系统和方法的情况下，利用上述特征的这些和其他变化和组合，因此，应当将示例性实施例的前面描述当作为说明而不是对权利要求所限定的主题的限制。还应当理解的是，示例的提供(以及表述为“例如”、“包括”等的分句)不应当被解释为将所要求的主题限制在特定示例；相反，示例意在仅说明许多可能方面中的部分。除非明确说明为相反的，否则，可以在本文的任何其他实施例、替选或示例中使用给定实施例、替选或示例的每个特征。
应当指出，可以将示例实施例描述为体现为流程图、流程图表、数据流程图、结构图或者框图的过程。尽管流程图可以将操作描述为顺序的过程，可以并行地、并发地或者同时地执行许多操作。此外，操作的顺序可以被重排。当过程的操作完成时，过程可以被终止，但是过程也可以具有不包括在图中的额外的步骤。过程可以对应于方法、功能、程序、子例程、子程序等。当过程对应于功能时，过程的终止可以对应于功能对调用函数或者主函数的返回。
尽管在某些实施例对应的附图中，在功能上将处理单元和数据库图示为在同一相应块内，然而，本领域的技术人员应该理解，上述的各装置、各单元或各步骤可以借助于通用的计算装置来实现，它们可以集中在单个的计算装置上，如作为一个商品拍卖设备；也可以不处于同一个装置内。例如，存储模块和处理模块实际上可以包括不位于同一物理外壳内的多个具体的设备，如无线收发装置、存储器、处理器、微处理器等。根据本申请的系统中的各个模块，可以分布在多 个计算装置所组成的网络上，该网络可以是通过有线连接的，也可以是在一个区域内通过无线连接的，还可以是在不同地域内通过分布式网络连接的。可选地，它们也可以用计算装置可执行的程序代码来实现，从而可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本申请不限制于任何特定的硬件和软件结合。
以上所述仅为本申请的一部分的可选实施方式，仅为说明本申请的技术构思，其目的在于让技术人员能够了解本申请的内容并据以实施，并不用于限制本申请，对于相关领域的技术人员来说，本申请可以有各种更改和变化。凡是在本申请的精神和原则之内，所做出的任何修改、等效替换、改进等，均应包含在本申请的保护范围之内。

Claims (14)

  1. 一种商品拍卖系统，其特征包含：
    一个输入模块，被配置为接收商品提供信息、商品购买信息与商品检测信息；
    一个存储模块，被配置为存储所述商品提供信息、所述商品购买信息或所述商品检测信息；
    一个处理模块，被配置为根据所述商品提供信息、所述商品购买信息或所述商品检测信息，得到商品评估结果和商品拍卖结果；
    其中，所述处理模块还被配置为将所述商品检测信息进行处理，得到商品3D数据。
  2. 根据权利要求1所述的商品拍卖系统，其特征在于：包含一个输出模块，被配置为展示所述商品的预估价值、拍卖结果或3D数据中的至少一种。
  3. 根据权利要求1所述的商品拍卖系统，其特征在于：所述存储模块的存储信息还包含对所述商品购买信息与所述商品检测信息进行处理的至少一个规则。
  4. 根据权利要求3所述的商品拍卖系统，其特征在于：所述规则包含至少一个竞价规则。
  5. 根据权利要求4所述的商品拍卖系统，其特征在于：所述竞价规则是Vickery竞价规则。
  6. 根据权利要求1所述的商品拍卖系统，其特征在于：所述处理模块被配置为将所述商品检测信息进行处理，依据一个评估模型，得到商品评估结果。
  7. 根据权利要求6所述的商品拍卖系统，其特征在于：所述商品评估结果是商品估价和商品评级中的至少一种。
  8. 一种商品拍卖方法，其特征包含：
    接收商品提供信息、商品购买信息与商品检测信息；
    存储所述商品提供信息、所述商品购买信息或所述商品检测信息；
    根据所述商品提供信息、所述商品购买信息或所述商品检测信息，得到商品评估结果和商品拍卖结果；
    其中，对所述商品检测信息进行处理包含得到商品3D数据。
  9. 根据权利要求8所述的商品拍卖方法，其特征在于：向所述购买者展示所述商品评估结果、商品拍卖结果或商品的3D数据中的至少一种。
  10. 根据权利要求8所述的商品拍卖方法，其特征在于：所述存储信息还包含对所述商品购买信息与所述商品检测信息进行处理的至少一个规则。
  11. 根据权利要求10所述的商品拍卖方法，其特征在于：所述规则包含至少一个竞价规则。
  12. 根据权利要求11所述的商品拍卖方法，其特征在于：所述竞价规则是Vickery竞价规则。
  13. 根据权利要求8所述的商品拍卖方法，其特征在于：通过将所述商品检测信息进行处理，依据一个评估模型，得到商品评估结果。
  14. 根据权利要求13所述的商品拍卖方法，其特征在于：所述商品评估结果是商品估价与商品评级中的至少一种。
PCT/CN2016/075466 2016-03-03 2016-03-03 商品拍卖系统及方法 WO2017147842A1 (zh)

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