CN108228890B - Data processing method and device for graphical retrieval - Google Patents
Data processing method and device for graphical retrieval Download PDFInfo
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- CN108228890B CN108228890B CN201810097992.2A CN201810097992A CN108228890B CN 108228890 B CN108228890 B CN 108228890B CN 201810097992 A CN201810097992 A CN 201810097992A CN 108228890 B CN108228890 B CN 108228890B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/532—Query formulation, e.g. graphical querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Abstract
The application discloses a data processing method and device for graphical retrieval. The method comprises the following steps: receiving product selection information for selecting the product element classification items in the product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item; selecting corresponding product element classification items according to the product selection information; calling and returning the industrial part classification items associated with the corresponding product element classification items; receiving industrial part selection information for selecting the industrial part classification item; and obtaining and returning target product information according to the industrial part selection information. The purpose of graphical retrieval is achieved, and therefore the technical effect that non-professionals can select standard industrial parts conveniently according to the shapes of the pictures is achieved.
Description
Technical Field
The application relates to the field of industrial data display, in particular to a data processing method and device for graphical retrieval.
Background
Industrial parts are very important prop industries in national economy in China, the production value is over trillion, the application of fastener (commonly called screw) products and the related industries are the most widely small, the mobile phones are large, and the airplanes need fasteners to be connected, so that the industrial basic supporting industry is provided, the fasteners are also covered by the 'industrial rice' brand fastener products, and each country, region and industry have own standards (the standard contents contain technical, performance, application, drawing and other information), China is a large industrial manufacturing country, global fastener product data are gathered, the global fastener standards reach 8000 varieties, and the specifications and models of common products are over ten million.
The advantages of various national standards are also digested and absorbed in the establishment of national standards in China, so that a plurality of standard products can be interchanged and substituted with foreign countries, due to the common lack of industrial technical experts, a complete and unified basic database which can be directly used for inquiry, reference and reference of industrial enterprises is not formed in the fastener industry at present, and the highest workload is achieved by substitution interchange and comparison compilation.
Due to the lack of a unified basic data platform support and a unique coding mode, the communication efficiency from the production, circulation and trade to the whole industrial chain link of a use terminal is low, the error probability is high, one object is multiple, multiple objects are common, the same product has multiple application aliases and calling laws, and similarly, the communication and understanding of all words in local dialects are difficult.
Traditional presentations and construction methods employ either standard literature books, or the simplest forms of static pictures and data sheets for websites. Making it difficult for non-professionals to select and purchase.
Disclosure of Invention
The present application mainly aims to provide a data processing method and apparatus for graphical retrieval, so as to solve the problems in the related art.
In order to achieve the above object, according to an aspect of the present application, there is provided a data processing method for graphical retrieval, including:
receiving product selection information for selecting the product element classification items in the product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item;
selecting corresponding product element classification items according to the product selection information;
calling and returning the industrial part classification items associated with the corresponding product element classification items;
receiving industrial part selection information for selecting the industrial part classification item;
and obtaining and returning target product information according to the industrial part selection information.
Further, as the aforementioned data processing method for graphical retrieval, before receiving product selection information for selecting a product element classification item in a product category classification item, the method further includes:
receiving product category selection information for selecting the product category classification item; each product category classification item has graphical data uniquely corresponding to the product category classification item;
selecting corresponding product category classification items according to the product category selection information;
invoking all product element classification items associated with the corresponding product category classification item.
Further, the method for processing data of graphical retrieval as described above, the retrieving and returning the industrial component classification item associated with the corresponding product element classification item, includes:
calling and returning the total classification items of the industrial parts associated with the corresponding product element classification items; products in the product element classification items include components in the industrial parts total classification item associated with the product element classification item;
receiving first industrial part selection information for selecting the industrial part total classification item;
selecting a corresponding industrial part total classification item according to the first industrial part selection information;
retrieving and returning the industrial part classification items associated with the corresponding industrial part total classification items.
Further, as the aforementioned data processing method for graphical retrieval, the obtaining and returning target product information according to the industrial component selection information includes:
determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items;
and obtaining and returning target product information according to the industrial part selection information.
Further, the data processing method for graphical retrieval as described above further includes:
receiving standard selection information for selecting a product standard in a product standard category;
selecting a corresponding product standard according to the standard selection information;
and matching classification items matched with the product standard in all the classification items.
In order to achieve the above object, according to another aspect of the present application, there is provided a data processing apparatus for graphical retrieval, comprising:
the product element information receiving module is used for receiving product selection information for selecting the product element classification items in the product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item;
the product element classification item selection module is used for selecting a corresponding product element classification item according to the product selection information;
the component classification item calling module is used for calling and returning the industrial component classification items associated with the corresponding product element classification items;
the component selection information receiving module is used for receiving industrial component selection information for selecting the industrial component classification items;
and the target product returning module is used for obtaining and returning target product information according to the industrial part selection information.
Further, the data processing apparatus for graphical retrieval as described above further includes:
the category selection information receiving module is used for receiving the product category selection information for selecting the product category classification items; each product category classification item has graphical data uniquely corresponding to the product category classification item;
the product category classification item selection module is used for selecting a corresponding product category classification item according to the product category selection information;
and the product element classification item calling module is used for calling all product element classification items associated with the corresponding product classification items.
Further, as the aforementioned graphically retrieved data processing apparatus, the component classification item retrieving module includes:
the component total classification item calling module is used for calling and returning the industrial component total classification items associated with the corresponding product element classification items; products in the product element classification items include components in the industrial parts total classification item associated with the product element classification item;
the first component selection information receiving module is used for receiving first industrial component selection information for selecting the industrial component total classification item;
the industrial part total classification item selection module is used for selecting a corresponding industrial part classification item according to the first industrial part selection information;
and the industrial part classification item calling module is used for calling and returning the industrial part classification items associated with the corresponding industrial part total classification items.
Further, as the aforementioned data processing apparatus for graphical retrieval, the target product return module includes:
the industrial part classification item determining module is used for determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items;
and the return submodule is used for obtaining and returning target product information according to the industrial part selection information.
Further, the data processing apparatus for graphical retrieval as described above further includes:
the standard selection information receiving module is used for receiving standard selection information for selecting the product standard in the product standard category;
the product standard classification item selection module is used for selecting a corresponding product standard classification item according to the standard selection information;
and the product standard classification item matching module is used for matching a classification item matched with the product standard in the classification items.
In the embodiment of the application, the product selection information for selecting the product element classification items in the product classification items is received by adopting a mode of searching in combination with the graph; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item; selecting corresponding product element classification items according to the product selection information; calling and returning the industrial part classification items associated with the corresponding product element classification items; receiving industrial part selection information for selecting the industrial part classification item; and obtaining and returning target product information according to the industrial part selection information. The purpose of graphical retrieval is achieved, and therefore the technical effect that non-professionals can select standard industrial parts conveniently according to the shapes of the pictures is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present application; and
fig. 2 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the present invention provides a data processing method for graphical retrieval, which includes the following steps S1 to S5:
s1, receiving product selection information for selecting product element classification items in product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item; the product element classification item is a middle category below the product categories;
s2, selecting corresponding product element classification items according to the product selection information;
s3, calling and returning the industrial part classification items associated with the corresponding product element classification items;
s4, receiving industrial part selection information for selecting the industrial part classification items; specifically, the industrial part classification items are components of various specifications included in the product;
and S5, obtaining and returning target product information according to the industrial part selection information.
Specifically, the product element classification items may include one or more layers and are distributed in a tree-like relationship. Preferably, there may be included the broad categories: for example: specifically, the total classification items of the industrial parts may include: bolts, studs, screws, nuts, washers, retaining rings, self-tapping nails, wood screws, assemblies, keys, pins, rivet welds, expansion pieces, rigging, among others; and subclasses under the main class, which when the main class is a bolt, are: hex bolts, flange bolts, T-bolts, round head bolts, countersunk head bolts, square head bolts, anchor bolts, eye bolts, U-bolts, hub bolts, pipe joint bolts, and other bolts.
Because the product element classification item comprises graphical data, when a user selects, even if the user does not know a specific model or name, the user can directly determine whether the corresponding spare part is a required product; moreover, the system corresponding to the method of the embodiment is in a tree-like relationship, and the required products can be easily screened out only by observing the appearance and gradually carrying out specific selection.
In some embodiments, the method for processing data through graphical retrieval as described above, before receiving product selection information for selecting a product element classification item of the product category classification items, further includes:
receiving product category selection information for selecting the product category classification item; each product category classification item has graphical data uniquely corresponding to the product category classification item; specifically, the product categories may include: fasteners, hand tools, hardware, bearing springs, measuring tool cutters, transmission parts, automobile and motorcycle accessories and low-voltage electrical appliances;
selecting corresponding product category classification items according to the product category selection information;
invoking all product element classification items associated with the corresponding product category classification item.
In some embodiments, the method for processing data by graphical retrieval as described above, the retrieving and returning the industrial parts classification item associated with the corresponding product element classification item comprises:
calling and returning the total classification items of the industrial parts associated with the corresponding product element classification items; products in the product element classification items include components in the industrial parts total classification item associated with the product element classification item;
receiving first industrial part selection information for selecting the industrial part total classification item;
selecting a corresponding industrial part total classification item according to the first industrial part selection information;
retrieving and returning the industrial part classification items associated with the corresponding industrial part total classification items, in this embodiment, the industrial part total classification items are different component parts of the product, and the industrial part classification items are different model categories for each component part, so that the industrial part classification items are further subdivisions of the industrial part total classification items. Specifically, when the subclass is a hexagon bolt, the general classification items of the industrial parts comprise: head, shaft, and thread; when the total classification item of the industrial parts is a hexagonal head, the classification item of the industrial parts may be a hexagonal head, a small hexagonal head, a hexagonal cross slot, a hexagonal slot, and the like.
In some embodiments, the method for processing data through graphical retrieval as described above, the obtaining and returning target product information according to the industrial part selection information includes:
determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items; specifically, the above embodiment is taken as an example, and according to the total classification items of three industrial parts: head, shaft, and thread; and then, further screening, and respectively selecting the industrial part classification items: a hex head, partial threads, and metric threads;
obtaining and returning target product information according to the industrial part selection information; the above steps are implemented according to three industrial part classification items: the hexagonal head, the partial threads and the metric threads form the required metric hexagonal head full-thread bolt.
In some embodiments, the data processing method for graphical retrieval as described above further includes:
receiving standard selection information for selecting a product standard in a product standard category; specifically, the product standard at least comprises 15 national regions: national standard GB, German standard DIN, international ISO, Japanese standard JIS, American standard ASME, American standard IFI, English standard BS, European standard EN, Italy UNI, French standard NF, Australian standard AS, Korean standard KS, Russian standard GOST, Taibiao CNS, non-standard W;
selecting a corresponding product standard according to the standard selection information;
and matching classification items matched with the product standard in all the classification items.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present invention, there is also provided a data processing apparatus for graphical retrieval, which is used for implementing the data processing method for graphical retrieval, as shown in fig. 2, and includes:
a product element information receiving module 1, configured to receive product selection information for selecting a product element classification item in product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item;
the product element classification item selection module 2 is used for selecting a corresponding product element classification item according to the product selection information;
the component classification item calling module 3 is used for calling and returning the industrial component classification items associated with the corresponding product element classification items;
a component selection information receiving module 4, configured to receive industrial component selection information for selecting the industrial component classification item;
and the target product returning module 5 is used for obtaining and returning target product information according to the industrial part selection information.
In some embodiments, the data processing apparatus for graphical retrieval as described above, further comprises:
the category selection information receiving module is used for receiving the product category selection information for selecting the product category classification items; each product category classification item has graphical data uniquely corresponding to the product category classification item;
the product category classification item selection module is used for selecting a corresponding product category classification item according to the product category selection information;
and the product element classification item calling module is used for calling all product element classification items associated with the corresponding product classification items.
In some embodiments, the data processing apparatus for graphical retrieval as described above, the component classification item retrieving module includes:
the component total classification item calling module is used for calling and returning the industrial component total classification items associated with the corresponding product element classification items; products in the product element classification items include components in the industrial parts total classification item associated with the product element classification item;
the first component selection information receiving module is used for receiving first industrial component selection information for selecting the industrial component total classification item;
the industrial part total classification item selection module is used for selecting a corresponding industrial part classification item according to the first industrial part selection information;
and the industrial part classification item calling module is used for calling and returning the industrial part classification items associated with the corresponding industrial part total classification items.
In some embodiments, the target product return module, as in the aforementioned graphically retrieved data processing apparatus, comprises:
the industrial part classification item determining module is used for determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items;
and the return submodule is used for obtaining and returning target product information according to the industrial part selection information.
In some embodiments, the data processing apparatus for graphical retrieval as described above, further comprises:
the standard selection information receiving module is used for receiving standard selection information for selecting the product standard in the product standard category;
the product standard classification item selection module is used for selecting a corresponding product standard classification item according to the standard selection information;
and the product standard classification item matching module is used for matching a classification item matched with the product standard in the classification items.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (8)
1. A data processing method for graphical retrieval is characterized by comprising the following steps:
receiving product selection information for selecting the product element classification items in the product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item;
selecting corresponding product element classification items according to the product selection information;
calling and returning the industrial part classification items associated with the corresponding product element classification items;
receiving industrial part selection information for selecting the industrial part classification item;
obtaining and returning target product information according to the industrial part selection information;
the retrieving and returning industrial part classification items associated with the corresponding product element classification items includes:
calling and returning the total classification items of the industrial parts associated with the corresponding product element classification items; products in the product element classification items include components in the total industrial part classification item associated with the product element classification item, the total industrial part classification item being a different component part of a product;
receiving first industrial part selection information for selecting the industrial part total classification item;
selecting a corresponding industrial part total classification item according to the first industrial part selection information;
retrieving and returning the industrial part classification items associated with the corresponding industrial part total classification items.
2. The data processing method for graphical retrieval of claim 1, wherein prior to receiving product selection information for selecting a product element classification item of the product category classification items, further comprising:
receiving product category selection information for selecting the product category classification item; each product category classification item has graphical data uniquely corresponding to the product category classification item;
selecting corresponding product category classification items according to the product category selection information;
invoking all product element classification items associated with the corresponding product category classification item.
3. The data processing method for graphic retrieval according to claim 1, wherein the obtaining and returning target product information according to the industrial part selection information comprises:
determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items;
and obtaining and returning target product information according to the industrial part selection information.
4. The data processing method for graphical retrieval of claim 1, further comprising:
receiving standard selection information for selecting a product standard in a product standard category;
selecting a corresponding product standard according to the standard selection information;
and matching classification items matched with the product standard in all classification items.
5. A data processing apparatus for graphical retrieval, comprising:
the product element information receiving module is used for receiving product selection information for selecting the product element classification items in the product classification items; the product category classification item comprises one or more product element classification items; each product element classification item has graphical data uniquely corresponding to the product element classification item;
the product element classification item selection module is used for selecting a corresponding product element classification item according to the product selection information;
the component classification item calling module is used for calling and returning the industrial component classification items associated with the corresponding product element classification items;
the component selection information receiving module is used for receiving industrial component selection information for selecting the industrial component classification items;
the target product returning module is used for obtaining and returning target product information according to the industrial part selection information;
the component classification item calling module comprises:
the component total classification item calling module is used for calling and returning the industrial component total classification items associated with the corresponding product element classification items; products in the product element classification items include components in the total industrial part classification item associated with the product element classification item, the total industrial part classification item being a different component part of a product;
the first component selection information receiving module is used for receiving first industrial component selection information for selecting the industrial component total classification item;
the industrial part total classification item selection module is used for selecting a corresponding industrial part classification item according to the first industrial part selection information;
and the industrial part classification item calling module is used for calling and returning the industrial part classification items associated with the corresponding industrial part total classification items.
6. The graphically retrieved data processing apparatus as claimed in claim 5, further comprising:
the category selection information receiving module is used for receiving the product category selection information for selecting the product category classification items; each product category classification item has graphical data uniquely corresponding to the product category classification item;
the product category classification item selection module is used for selecting a corresponding product category classification item according to the product category selection information;
and the product element classification item calling module is used for calling all product element classification items associated with the corresponding product classification items.
7. The graphically retrieved data processing apparatus as claimed in claim 5, wherein said target product return module comprises:
the industrial part classification item determining module is used for determining corresponding industrial part classification items according to industrial part selection information of different industrial part total classification items;
and the return submodule is used for obtaining and returning target product information according to the industrial part selection information.
8. The graphically retrieved data processing apparatus as claimed in claim 5, further comprising:
the standard selection information receiving module is used for receiving standard selection information for selecting the product standard in the product standard category;
the product standard classification item selection module is used for selecting a corresponding product standard classification item according to the standard selection information;
and the product standard classification item matching module is used for matching a classification item matched with the product standard in the classification items.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1741048A (en) * | 2004-08-24 | 2006-03-01 | 鲁阳 | Digital group code encoding and component code search data technology |
| CN102207969A (en) * | 2011-06-12 | 2011-10-05 | 杭州电子科技大学 | Method for searching revolved body component process |
| CN102508980A (en) * | 2011-11-23 | 2012-06-20 | 北京航空航天大学 | Method for quickly acquiring process information of part |
| CN102682064A (en) * | 2011-02-01 | 2012-09-19 | 洛克威尔自动控制技术股份有限公司 | Searchable catalog for externally defined graphic element definitions |
| CN105930514A (en) * | 2016-05-16 | 2016-09-07 | 珠海格力电器股份有限公司 | Matched relationship retrieval method and system |
-
2018
- 2018-01-31 CN CN201810097992.2A patent/CN108228890B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1741048A (en) * | 2004-08-24 | 2006-03-01 | 鲁阳 | Digital group code encoding and component code search data technology |
| CN102682064A (en) * | 2011-02-01 | 2012-09-19 | 洛克威尔自动控制技术股份有限公司 | Searchable catalog for externally defined graphic element definitions |
| CN102207969A (en) * | 2011-06-12 | 2011-10-05 | 杭州电子科技大学 | Method for searching revolved body component process |
| CN102508980A (en) * | 2011-11-23 | 2012-06-20 | 北京航空航天大学 | Method for quickly acquiring process information of part |
| CN105930514A (en) * | 2016-05-16 | 2016-09-07 | 珠海格力电器股份有限公司 | Matched relationship retrieval method and system |
Non-Patent Citations (2)
| Title |
|---|
| 基于Solid Edge的机械零部件图库开发及装配研究;申俊昌;《中国优秀博硕士学位论文全文数据库（硕士）工程科技Ⅱ辑》;20060315;第C029-5页 * |
| 零件资源分类、建模与共享技术及其在零件库中的应用研究;马军;《中国博士学位论文全文数据库信息科技辑》;20090415;第I138-35页 * |
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