CN117455630A - Data processing method for building material non-standard part - Google Patents
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Abstract
The invention discloses a data processing method of a building material non-standard part, belonging to the technical field of data processing; the sample database is constructed by carrying out information acquisition statistics on all building material nonstandard components produced and sold by the existing manufacturers and sellers, so that reliable data support can be provided for autonomous search analysis of subsequent targets, and reliable data support can be provided for specification standard production optimization of the subsequent building material nonstandard components; under the condition that the sample application type and the sample name are both in line, the sample building material nonstandard parts meeting the size requirement and the shape requirement are screened by performing traversal matching on the sample size and the sample shape, so that the diversity of matching screening of the target building material nonstandard parts is improved; the method and the device are used for solving the technical problems that in the existing scheme, relevant parameters of the building material non-standard components can only be passively provided by sellers, so that the effect of sharing and utilizing the parameters of the building material non-standard components is poor and the effect of autonomously selecting targets is poor.
Description
The present application is a divisional application of application number 202311169208.1 entitled "data processing method of building material nonstandard Member" filed on day 2023, month 9 and day 12.
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method of a building material non-standard component.
Background
Building material non-standard means building materials or parts that do not meet the general standard specifications. In construction and engineering projects, standardized building materials and components are commonly used, which are produced in uniform sizes and dimensions for interchange and application in various situations.
When the existing data processing scheme of the building material nonstandard component is implemented, related parameters of the building material nonstandard component produced and sold by different manufacturers and sellers are mutually isolated to form a data island, so that the target consultation and purchase of the building material nonstandard component can only be passively provided by the sellers, and the effects of sharing and utilizing the parameters of the building material nonstandard component and the effects of target autonomous selection are poor.
Disclosure of Invention
The invention aims to provide a data processing method of a building material nonstandard component, which is used for solving the technical problems that in the existing scheme, relevant parameters of the building material nonstandard component can only be passively provided by a seller, so that the effect of sharing and utilizing the parameters of the building material nonstandard component is poor and the effect of autonomously selecting a target is poor.
The aim of the invention can be achieved by the following technical scheme:
a data processing method of a building material non-standard component comprises the following steps:
acquiring sample names, sample application types, sample shapes, sample sizes, sample manufacturers and sample sellers corresponding to the non-standard components of different sample building materials;
grouping all sample building material non-standard components of the same sample application type to obtain large group classification data of a plurality of types of groups, and grouping all sample building material non-standard components of the same sample name according to the large group classification data to obtain small group classification data of a plurality of name groups;
uploading the large group of classified data and the small group of classified data to a building material non-standard component sharing platform, and carrying out validity matching analysis on the requirement data actively searched by each target according to the building material non-standard component sharing platform to obtain a recommendation analysis set consisting of first recommendation analysis data and second recommendation analysis data;
and carrying out search influence evaluation on different building material non-standard components appearing in the search according to all recommended analysis sets in the monitoring period, and carrying out dynamic prompt on subsequent production optimization of the different building material non-standard components appearing in the search according to evaluation results.
Preferably, the step of acquiring the first recommended analysis data includes:
and acquiring target active search content, extracting a target application type and a target name of a corresponding target building material non-standard component, and performing traversal matching on the target application type and the target name and all sample application types in the large-group data and all sample names in the small-group data in the building material non-standard component sharing platform respectively to obtain a first search signal or a second search signal.
Preferably, if there is a sample application type identical to the target application type and there is a sample name identical to the target name, generating a first search signal and marking the identical sample name as the selected name;
if at most one of the sample application type identical to the target application type and the sample name identical to the target name is present, a second search signal is generated and a prompt that no sample building material non-standard part exists is generated.
Preferably, the target size contained in the target active search content is acquired and is subjected to traversal matching with all sample sizes related to the selected name, if the sample sizes which are completely the same as the target size exist, a search success signal is generated, a sample building material nonstandard part corresponding to the sample size is marked as a selected building material nonstandard part according to the search success signal, and a sample producer and a sample seller corresponding to the selected building material nonstandard part are subjected to pushing prompt;
if the sample size which is the same as the target size part exists, a first recommendation signal is generated, a corresponding sample building material nonstandard part is marked as a first recommended building material nonstandard part according to the first recommendation signal, and a sample producer and a sample seller corresponding to the first recommended building material nonstandard part are pushed for prompting;
if all the sample sizes are different from the target size, generating a first failure signal;
the search success signal and the selected building material non-standard, the first recommendation signal and the selected building material non-standard or the first failure signal form first recommendation analysis data.
Preferably, a target shape contained in target active search content is obtained and is subjected to traversal matching with all sample shapes associated with the selected name, if the sample shapes which are the same as the target shape exist, a second recommendation signal is generated, a sample building material nonstandard part corresponding to the sample shapes is marked as a second recommendation building material nonstandard part according to the second recommendation signal, and a sample producer and a sample seller corresponding to the second recommendation building material nonstandard part are subjected to pushing prompt;
if all the sample shapes are different from the target shape, generating a second failure signal;
the second recommended signal and the second recommended building material non-standard or the second failure signal constitute second recommended analysis data.
Preferably, in the monitoring period, acquiring all recommended analysis sets and traversing the recommended analysis sets in sequence, and if the first recommended building material non-standard component and the second recommended building material non-standard component exist in the traversed recommended analysis sets at the same time, marking the first recommended building material non-standard component and the second recommended building material non-standard component as a first selected building material non-standard component and a second selected building material non-standard component respectively; counting the recommended total times of the searching occurrence of all the first selected building material non-standard components and the second selected building material non-standard components, comparing the recommended total times with a preset recommended threshold value, and judging to obtain an evaluation result formed by searching high-influence tags or searching low-influence tags.
Preferably, if the total recommended times are not less than the recommended threshold, generating a search high-impact tag;
and if the total recommended times are smaller than the recommended threshold value, generating a search low-influence label.
Preferably, when the subsequent production optimization of different building nonstandard parts appearing in the search is dynamically prompted according to the evaluation result, marking the corresponding first selected building nonstandard part and second selected building nonstandard part as a first target building nonstandard part and a second target building nonstandard part according to the search high influence label in the evaluation result, acquiring target size search data and target shape search data of all recommended target searches of the first target building nonstandard part and the second target building nonstandard part, and pushing the target size search data and the target shape search data of all target searches to manufacturers corresponding to the first target building nonstandard part and the second target building nonstandard part to optimize prompt of standard production.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the sample database is constructed by carrying out information acquisition statistics on all building material nonstandard components produced and sold by the existing manufacturers and sellers, so that reliable data support can be provided for autonomous search analysis of subsequent targets, and reliable data support can be provided for specification standard production optimization of the subsequent building material nonstandard components; under the condition that the sample application type and the sample name are both in line, the sample building material nonstandard parts meeting the size requirement and the shape requirement are screened by performing traversal matching on the sample size and the sample shape, so that the diversity of matching screening of the target building material nonstandard parts is improved, and the target can timely and efficiently know the production and sales conditions of the target building material nonstandard parts in the market; the utilization effect of building material nonstandard data resources and the optimization effect of standard production can be expanded through integration and analysis of target search data and sample building material nonstandard component data.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block flow diagram of a method for processing data of a building material non-standard component according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention is a data processing method of a building material non-standard component, comprising the following steps:
acquiring sample names, sample application types, sample shapes, sample sizes, sample manufacturers and sample sellers corresponding to the non-standard components of different sample building materials; the sample application type is the application type of the building application scene corresponding to the sample building material non-standard component;
grouping all sample building material non-standard components of the same sample application type to obtain large group classification data of a plurality of types of groups, and grouping all sample building material non-standard components of the same sample name according to the large group classification data to obtain small group classification data of a plurality of name groups;
in the embodiment of the invention, the sample database is constructed by carrying out information collection statistics on all building material nonstandard parts produced and sold by the existing manufacturers and sellers, so that reliable data support can be provided for autonomous search analysis of a subsequent target, and reliable data support can be provided for specification standard production optimization of the subsequent building material nonstandard parts.
Uploading the large group of classified data and the small group of classified data to a building material non-standard component sharing platform, and carrying out validity matching analysis on the requirement data actively searched by each target according to the building material non-standard component sharing platform to obtain a recommendation analysis set consisting of first recommendation analysis data and second recommendation analysis data; comprising the following steps:
acquiring target active search content, extracting a target application type and a target name of a corresponding target building material non-standard component, and performing traversal matching on the target application type and the target name and all sample application types in large group data and all sample names in small group data in a building material non-standard component sharing platform respectively; the target active search is implemented through a building material non-standard component sharing platform;
if the sample application type which is the same as the target application type exists and the sample name which is the same as the target name exists, generating a first search signal and marking the same sample name as a selected name;
if at most one of the sample application type identical to the target application type and the sample name identical to the target name is established, generating a second search signal and generating a prompt that the sample building material non-standard component is not present;
it should be noted that, the objective is a user who needs to purchase a building material nonstandard component, and the building material nonstandard component sharing platform can actively search and inquire the target application type, the target name, the target size and the target shape of the target building material nonstandard component to be purchased, so that the corresponding manufacturer and the corresponding seller can be selected and consulted independently according to the inquiry result.
Obtaining a target size contained in target active search content and performing traversal matching on all sample sizes related to a selected name, if the sample sizes which are completely the same as the target size exist, generating a search success signal, marking a sample building material non-standard part corresponding to the sample size as a selected building material non-standard part according to the search success signal, and performing pushing prompt on a sample producer and a sample seller corresponding to the selected building material non-standard part;
if the sample size which is the same as the target size part exists, a first recommendation signal is generated, a corresponding sample building material nonstandard part is marked as a first recommended building material nonstandard part according to the first recommendation signal, and a sample producer and a sample seller corresponding to the first recommended building material nonstandard part are pushed for prompting;
if all the sample sizes are different from the target size, generating a first failure signal;
the searching success signal and the selected building material non-standard component, the first recommended signal and the selected building material non-standard component or the first failure signal form first recommended analysis data;
it should be noted that the sample dimensions include, but are not limited to, the length, width, and height of the sample building material non-standard; under the condition that the sample application type and the sample name are both in line, the accuracy of matching and screening of the target building material non-standard components can be further improved by performing traversal matching and screening on the sample size to obtain the sample building material non-standard components meeting the size requirement;
acquiring a target shape contained in target active search content and performing traversal matching on all sample shapes associated with a selected name, if the sample shapes which are the same as the target shape exist, generating a second recommendation signal, marking a sample building material nonstandard part corresponding to the sample shapes as a second recommendation building material nonstandard part according to the second recommendation signal, and performing pushing prompt on a sample producer and a sample seller corresponding to the second recommendation building material nonstandard part;
if all the sample shapes are different from the target shape, generating a second failure signal;
the second recommended signal and the second recommended building material non-standard or the second failure signal form second recommended analysis data;
the first recommendation analysis data and the second recommendation analysis data form a recommendation analysis set;
according to the embodiment of the invention, under the condition that the sample application type and the sample name are both in accordance, the sample building material nonstandard parts meeting the shape requirement are screened by traversing and matching the sample shape, so that the diversity of the target building material nonstandard part matching screening is improved, and the target can timely and efficiently know the production and sales conditions of the target building material nonstandard parts in the market.
Carrying out search influence evaluation on different building material non-standard components appearing in search according to all recommended analysis sets in a monitoring period, and carrying out dynamic prompt on subsequent production optimization of the different building material non-standard components appearing in search according to evaluation results;
in the monitoring period, the unit of the monitoring period is month, specifically can be three months, all recommended analysis sets are obtained and traversed in sequence, and if the first recommended building material non-standard component and the second recommended building material non-standard component exist in the traversed recommended analysis sets at the same time, the first recommended building material non-standard component and the second recommended building material non-standard component are respectively marked as a first selected building material non-standard component and a second selected building material non-standard component;
when the first recommended building material non-standard component and the second recommended building material non-standard component exist at the same time, the first recommended building material non-standard component and the second recommended building material non-standard component may be the same or different, and when the first recommended building material non-standard component and the second recommended building material non-standard component are different, the necessity of standard production of the first recommended building material non-standard component and the second recommended building material non-standard component needs to be monitored and analyzed, and the total number of the recommended times is analyzed;
counting the recommended total times of searching occurrence of all the first selected building material non-standard components and the second selected building material non-standard components, and comparing and judging the recommended total times with a preset recommended threshold value; the recommendation threshold is determined according to the total searching times of all targets in the monitoring period;
if the total recommended times are not smaller than the recommended threshold, generating a search high-influence label;
if the total recommended times are smaller than the recommended threshold, generating a search low-influence label; searching high-influence tags or low-influence tags to form an evaluation result;
when the subsequent production optimization of different building nonstandard parts appearing in searching is dynamically prompted according to the evaluation result, marking the corresponding first selected building nonstandard part and second selected building nonstandard part as a first target building nonstandard part and a second target building nonstandard part according to the searching high influence label in the evaluation result, acquiring target size searching data and target shape searching data of all recommended target searching of the first target building nonstandard part and the second target building nonstandard part, and pushing the target size searching data and the target shape searching data of all target searching to manufacturers corresponding to the first target building nonstandard part and the second target building nonstandard part to optimize the standard production.
The method is different from the defects that suppliers, manufacturers and design unit related parties in the prior art cannot share data of building material non-standard components, so that standard production with different requirements cannot be purposefully perfected and unified; according to the embodiment of the invention, through integration and analysis of the target search data and the sample building material non-standard component data, the utilization effect of building material non-standard data resources and the optimization effect of standard production can be expanded.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula closest to the actual situation obtained by collecting a large amount of data and performing software simulation.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. A method for processing data of a building material non-standard component, comprising:
acquiring sample names, sample application types, sample shapes, sample sizes, sample manufacturers and sample sellers corresponding to the non-standard components of different sample building materials;
grouping all sample building material non-standard components of the same sample application type to obtain large group classification data of a plurality of types of groups, and grouping all sample building material non-standard components of the same sample name according to the large group classification data to obtain small group classification data of a plurality of name groups;
uploading the large group of classified data and the small group of classified data to a building material non-standard component sharing platform, and carrying out validity matching analysis on the requirement data actively searched by each target according to the building material non-standard component sharing platform to obtain a recommendation analysis set consisting of first recommendation analysis data and second recommendation analysis data;
carrying out search influence evaluation on different building material non-standard components appearing in search according to all recommended analysis sets in a monitoring period, and carrying out dynamic prompt on subsequent production optimization of the different building material non-standard components appearing in search according to evaluation results; comprising the following steps:
in a monitoring period, acquiring all recommended analysis sets and sequentially traversing, and if the traversed recommended analysis sets have a first recommended building material non-standard component and a second recommended building material non-standard component at the same time, marking the first recommended building material non-standard component and the second recommended building material non-standard component as a first selected building material non-standard component and a second selected building material non-standard component respectively; counting the recommended total times of searching occurrence of all the first selected building material non-standard components and the second selected building material non-standard components, and comparing the recommended total times with a preset recommended threshold value to judge and obtain an evaluation result consisting of a high-influence searching label or a low-influence searching label;
if the total recommended times are not smaller than the recommended threshold, generating a search high-influence label;
if the total recommended times are smaller than the recommended threshold, generating a search low-influence label;
when the subsequent production optimization of different building nonstandard parts appearing in searching is dynamically prompted according to the evaluation result, marking the corresponding first selected building nonstandard part and second selected building nonstandard part as a first target building nonstandard part and a second target building nonstandard part according to the searching high influence label in the evaluation result, acquiring target size searching data and target shape searching data of all recommended target searching of the first target building nonstandard part and the second target building nonstandard part, and pushing the target size searching data and the target shape searching data of all target searching to manufacturers corresponding to the first target building nonstandard part and the second target building nonstandard part to optimize the standard production.
2. The method for processing data of a building material non-standard according to claim 1, wherein the step of acquiring the first recommended analysis data comprises:
and acquiring target active search content, extracting a target application type and a target name of a corresponding target building material non-standard component, and performing traversal matching on the target application type and the target name and all sample application types in the large-group data and all sample names in the small-group data in the building material non-standard component sharing platform respectively to obtain a first search signal or a second search signal.
3. The method for processing data of a building material non-standard according to claim 2, wherein if there is a sample application type identical to a target application type and there is a sample name identical to a target name, generating a first search signal and marking the identical sample name as a selected name;
if at most one of the sample application type identical to the target application type and the sample name identical to the target name is present, a second search signal is generated and a prompt that no sample building material non-standard part exists is generated.
4. The method for processing data of building material nonstandard parts according to claim 3, wherein the method is characterized in that target sizes contained in target active search contents are obtained and all sample sizes associated with selected names are subjected to traversal matching, if sample sizes which are identical to the target sizes exist, a search success signal is generated, the sample building material nonstandard parts corresponding to the sample sizes are marked as the selected building material nonstandard parts according to the search success signal, and a sample producer and a sample seller corresponding to the selected building material nonstandard parts are subjected to pushing prompt;
if the sample size which is the same as the target size part exists, a first recommendation signal is generated, a corresponding sample building material nonstandard part is marked as a first recommended building material nonstandard part according to the first recommendation signal, and a sample producer and a sample seller corresponding to the first recommended building material nonstandard part are pushed for prompting;
if all the sample sizes are different from the target size, generating a first failure signal;
the search success signal and the selected building material non-standard, the first recommendation signal and the selected building material non-standard or the first failure signal form first recommendation analysis data.
5. The method for processing data of building material nonstandard parts according to claim 4, wherein the method is characterized in that a target shape contained in target active search content is obtained and is subjected to traversal matching with all sample shapes associated with a selected name, if the sample shapes which are the same as the target shape exist, a second recommendation signal is generated, the sample building material nonstandard parts corresponding to the sample shapes are marked as second recommendation building material nonstandard parts according to the second recommendation signal, and a sample producer and a sample seller corresponding to the second recommendation building material nonstandard parts are subjected to pushing prompt;
if all the sample shapes are different from the target shape, generating a second failure signal;
the second recommended signal and the second recommended building material non-standard or the second failure signal constitute second recommended analysis data.
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| CN202311169208.1A CN116911959B (en) | 2023-09-12 | 2023-09-12 | Data processing method for building material non-standard part |
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| KR102463122B1 (en) * | 2021-11-19 | 2022-11-04 | 주식회사 공새로 | Method and server for predicting or recommending construction material package by use |
| CN115063207A (en) * | 2022-07-02 | 2022-09-16 | 成都况氏豪杰建材有限公司 | Building material purchasing intelligent price comparison analysis and processing system based on cloud computing |
| CN115840972B (en) * | 2023-02-14 | 2023-05-19 | 四川金童云商科技有限公司 | Data processing method for building material non-standard part |
| CN116644115A (en) * | 2023-05-30 | 2023-08-25 | 江西软件职业技术大学 | Big data platform-oriented distributed management method and system |
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2023
- 2023-09-12 CN CN202311617899.7A patent/CN117455630A/en active Pending
- 2023-09-12 CN CN202311169208.1A patent/CN116911959B/en active Active
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| CN116911959B (en) | 2023-12-19 |
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