A data processing method for non-standard parts of building materials

Abstract

The invention discloses a data processing method for non-standard building material parts, belonging to the technical field of data processing; by collecting and counting information on all non-standard building material parts produced and sold by existing manufacturers and sellers to construct a sample database, reliable data support can be provided for autonomous search and analysis of subsequent targets, and reliable data support can also be provided for subsequent specification standard production optimization of non-standard building material parts; when both sample application types and sample names are in compliance, sample non-standard building material parts that meet size requirements and shape requirements are screened by traversing and matching sample sizes and sample shapes, thereby improving the diversity of matching and screening of target non-standard building material parts; the invention is used to solve the technical problem that in the existing solution, relevant parameters of non-standard building material parts can only be passively provided by sellers, resulting in poor effect of sharing and utilizing parameters of non-standard building material parts and poor effect of autonomous target selection.

Description

[0001] This application is a divisional application of the application filed on September 12, 2023, with application number 202311169208.1 and invention name “Data processing method for non-standard parts of building materials”. Technical Field

[0002] The invention relates to the technical field of data processing, and in particular to a data processing method for non-standard building material parts. Background Art

[0003] Non-standard building materials refer to building materials or parts that do not meet general standard specifications. In construction and engineering projects, standardized building materials and parts are usually used. These standard parts are produced according to uniform specifications and sizes to facilitate interchange and application in various occasions.

[0004] When the existing data processing solutions for non-standard building materials are implemented, the relevant parameters of non-standard building materials produced and sold by different manufacturers and sellers are isolated from each other to form data islands. As a result, when the target consults and purchases non-standard building materials, the sellers can only passively provide them, resulting in poor sharing and utilization of non-standard building materials parameters and poor results of the target's independent selection. Summary of the invention

[0005] The purpose of the present invention is to provide a data processing method for non-standard building materials, which is used to solve the technical problems that in the existing solutions, the relevant parameters of non-standard building materials can only be passively provided by sellers, resulting in poor effect of sharing and utilization of non-standard building materials parameters and poor effect of target autonomous selection.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A data processing method for non-standard building material parts, comprising:

[0008] Obtain the sample names, sample application types, sample shapes, sample sizes, sample manufacturers and sample sellers corresponding to different sample building materials and non-standard parts;

[0009] All sample building material non-standard parts of the same sample application type are grouped to obtain large group classification data of several type groups, and all sample building material non-standard parts of the same sample name are grouped according to the large group classification data to obtain small group classification data of several name groups;

[0010] Upload the large group classification data and the small group classification data to the building materials non-standard parts sharing platform, and perform validity matching analysis on the demand data actively searched for each target by the building materials non-standard parts sharing platform to obtain a recommendation analysis set consisting of the first recommendation analysis data and the second recommendation analysis data;

[0011] According to all the recommended analysis sets within the monitoring period, a search impact assessment is conducted on the different non-standard building material parts that appear in the search, and dynamic prompts are given for the subsequent production optimization of the different non-standard building parts that appear in the search based on the assessment results.

[0012] Preferably, the step of acquiring the first recommendation analysis data includes:

[0013] Obtain the target active search content and extract the target application type and target name of the corresponding target non-standard building materials parts, and traverse and match the target application type and target name with all sample application types in the large group classification data and all sample names in the small group classification data in the building materials non-standard parts sharing platform to obtain the first search signal or the second search signal.

[0014] 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, a first search signal is generated and the identical sample name is marked as a selected name;

[0015] If at least one of the sample application type being the same as the target application type and the sample name being the same as the target name exists, a second search signal is generated and a prompt is generated that there is no sample building material non-standard part.

[0016] Preferably, the target size contained in the target active search content is obtained and traversed and matched with all sample sizes associated with the selected name. If there is a sample size that is exactly the same as the target size, a search success signal is generated, and the sample non-standard building material part corresponding to the sample size is marked as the selected non-standard building material part according to the search success signal, and the sample manufacturer and sample seller corresponding to the selected non-standard building material part are pushed to prompt;

[0017] If there is a sample size that is partially the same as the target size, a first recommendation signal is generated, and the corresponding sample non-standard building material part is marked as a first recommended non-standard building material part according to the first recommendation signal, and a push notification is sent to the sample manufacturer and sample seller corresponding to the first recommended non-standard building material part;

[0018] If all sample sizes are different from the target size, a first failure signal is generated;

[0019] The search success signal and the selected non-standard building material, the first recommendation signal and the selected non-standard building material, or the first failure signal constitute the first recommendation analysis data.

[0020] Preferably, the target shape contained in the target active search content is obtained and traversed and matched with all sample shapes associated with the selected name. If there is a sample shape identical to the target shape, a second recommendation signal is generated, and the sample non-standard building material part corresponding to the sample shape is marked as a second recommended non-standard building material part according to the second recommendation signal, and the sample manufacturer and sample seller corresponding to the second recommended non-standard building material part are pushed to prompt;

[0021] If all sample shapes are different from the target shape, a second failure signal is generated;

[0022] The second recommendation signal and the second recommended building material non-standard part or the second failure signal constitute the second recommendation analysis data.

[0023] Preferably, within the monitoring period, all recommendation analysis sets are obtained and traversed in sequence; if both the first recommended non-standard building material parts and the second recommended non-standard building material parts exist in the traversed recommendation analysis sets, they are marked as the first selected non-standard building material parts and the second selected non-standard building material parts respectively; the total number of recommendations for all first selected non-standard building material parts and the second selected non-standard building material parts that appear in the retrieval is counted, and the total number of recommendations is compared with a preset recommendation threshold to determine whether the evaluation result is composed of searching for high-impact tags or searching for low-impact tags.

[0024] Preferably, if the total number of recommendations is not less than the recommendation threshold, a search high-impact tag is generated;

[0025] If the total number of recommendations is less than the recommendation threshold, a search low-impact tag is generated.

[0026] Preferably, when dynamically prompting for subsequent production optimization of different non-standard building parts that appear in the search based on the evaluation results, the corresponding first selected non-standard building material parts and the second selected non-standard building material parts are marked as first target non-standard building material parts and second target non-standard building material parts according to the search high-impact tags in the evaluation results, and the target size search data and target shape search data of all target searches recommended for the first target non-standard building material parts and the second target non-standard building material parts are obtained, and the target size search data and target shape search data of all target searches are pushed to the manufacturers corresponding to the first target non-standard building material parts and the second target non-standard building material parts for optimization prompts for standard production.

[0027] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0028] The present invention constructs a sample database by collecting and counting information on all non-standard building material parts produced and sold by existing manufacturers and sellers, which can provide reliable data support for subsequent autonomous search and analysis of targets, and can also provide reliable data support for subsequent specification and standard production optimization of non-standard building material parts. When both the sample application type and the sample name are in compliance, the sample non-standard building material parts that meet the size requirements and shape requirements are screened through traversal matching of the sample size and the sample shape, thereby improving the diversity of matching and screening of target non-standard building material parts, and enabling the target to timely and efficiently understand the production and sales status of the target non-standard building material parts in the market. Through the integration and analysis of the target search data and the sample non-standard building material parts data, the utilization effect of the building material non-standard parts data resources and the optimization effect of the specification and standard production can be expanded. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below in conjunction with the accompanying drawings.

[0030] Figure 1 The present invention is a flowchart of a data processing method for non-standard building material parts. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] like Figure 1 As shown, the present invention is a data processing method for non-standard building material parts, comprising:

[0033] Obtain the sample name, sample application type, sample shape, sample size, sample manufacturer and sample seller corresponding to different sample building material non-standard parts; the sample application type is the usage type of the sample building material non-standard parts corresponding to the building application scenario;

[0034] All sample building material non-standard parts of the same sample application type are grouped to obtain large group classification data of several type groups, and all sample building material non-standard parts of the same sample name are grouped according to the large group classification data to obtain small group classification data of several name groups;

[0035] In an embodiment of the present invention, by collecting and counting information on all non-standard building material parts produced and sold by existing manufacturers and sellers to build a sample database, reliable data support can be provided for autonomous search and analysis of subsequent targets, and reliable data support can also be provided for subsequent optimization of specification and standard production of non-standard building material parts.

[0036] The large group classification data and the small group classification data are uploaded to the building materials non-standard parts sharing platform, and the building materials non-standard parts sharing platform performs validity matching analysis on the demand data actively searched for each target, and obtains a recommendation analysis set consisting of the first recommendation analysis data and the second recommendation analysis data; including:

[0037] Obtain the target active search content and extract the target application type and target name of the corresponding target building material non-standard parts, and traverse and match the target application type and target name with all sample application types in the large group classification data and all sample names in the small group classification data in the building material non-standard parts sharing platform; the target active search is implemented through the building material non-standard parts sharing platform;

[0038] 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 a selected name;

[0039] If at most one of the following conditions exists: there exists a sample application type that is the same as the target application type and there exists a sample name that is the same as the target name, a second search signal is generated and a prompt is generated that there is no sample building material non-standard part;

[0040] It should be noted that the target is users who need to purchase non-standard building materials. Through the non-standard building materials sharing platform, they can actively search and query the target application type, target name, target size and target shape of the target non-standard building materials that need to be purchased, so that they can independently choose to consult the corresponding manufacturers and sellers according to the query results. Compared with the defect that the relevant parameters of non-standard building materials can only be passively provided by the sellers and cannot be actively referenced and compared in the existing solutions, the embodiments of the present invention can effectively improve the transparency and sharing degree of the sharing and utilization of non-standard building materials parameters, as well as the freedom and accuracy of the target's autonomous selection.

[0041] The target size contained in the target active search content is obtained and traversed and matched with all sample sizes associated with the selected name. If there is a sample size that is exactly the same as the target size, a search success signal is generated. According to the search success signal, the sample non-standard building material parts corresponding to the sample size are marked as selected non-standard building materials parts, and the sample manufacturers and sample sellers corresponding to the selected non-standard building materials parts are pushed to prompt;

[0042] If there is a sample size that is partially the same as the target size, a first recommendation signal is generated, and the corresponding sample non-standard building material part is marked as a first recommended non-standard building material part according to the first recommendation signal, and a push notification is sent to the sample manufacturer and sample seller corresponding to the first recommended non-standard building material part;

[0043] If all sample sizes are different from the target size, a first failure signal is generated;

[0044] The search success signal and the selected non-standard building material, the first recommendation signal and the selected non-standard building material, or the first failure signal constitute the first recommendation analysis data;

[0045] It should be noted that the sample size includes but is not limited to the length, width and height of the sample non-standard building material parts; when the sample application type and sample name are in compliance, the accuracy of the matching and screening of the target non-standard building material parts can be further improved by traversing and matching the sample sizes to screen the sample non-standard building material parts that meet the size requirements;

[0046] Obtain the target shape contained in the target active search content and traverse and match all sample shapes associated with the selected name. If there is a sample shape identical to the target shape, generate a second recommendation signal, mark the sample non-standard building material part corresponding to the sample shape as the second recommended non-standard building material part according to the second recommendation signal, and push prompts to the sample manufacturer and sample seller corresponding to the second recommended non-standard building material part;

[0047] If all sample shapes are different from the target shape, a second failure signal is generated;

[0048] The second recommendation signal and the second recommended building material non-standard part or the second failure signal constitute the second recommendation analysis data;

[0049] The first recommendation analysis data and the second recommendation analysis data constitute a recommendation analysis set;

[0050] In an embodiment of the present invention, when both the sample application type and the sample name are in compliance, the sample shapes are traversed and matched to select sample non-standard building material parts that meet the shape requirements, thereby improving the diversity of matching and selecting target non-standard building material parts, and enabling the target to timely and efficiently understand the production and sales status of target non-standard building material parts in the market.

[0051] Conduct search impact assessment on different non-standard building material parts that appear in the search based on all recommended analysis sets within the monitoring period, and provide dynamic prompts for subsequent production optimization of different non-standard building parts that appear in the search based on the assessment results;

[0052] During the monitoring period, which is in months, specifically three months, all recommended analysis sets are obtained and traversed in sequence. If the traversed recommended analysis sets both contain the first recommended building material non-standard part and the second recommended building material non-standard part, they are marked as the first selected building material non-standard part and the second selected building material non-standard part respectively.

[0053] It should be noted that when the first recommended non-standard building material parts and the second recommended non-standard building material parts exist at the same time, the first recommended non-standard building material parts and the second recommended non-standard building material parts may be the same or different. When they are different, it is necessary to monitor and analyze the necessity of the standard production of the first recommended non-standard building material parts and the second recommended non-standard building material parts, which is achieved by analyzing the total number of recommendations that appear;

[0054] Count the total number of recommendations for all first-selected non-standard building material parts and second-selected non-standard building material parts, and compare the total number of recommendations with a preset recommendation threshold; the recommendation threshold is determined based on the total number of searches for all targets within the monitoring period;

[0055] If the total number of recommendations is not less than the recommendation threshold, a search high-impact tag is generated;

[0056] If the total number of recommendations is less than the recommendation threshold, a search for low-impact tags is generated; a search for high-impact tags or a search for low-impact tags constitutes the evaluation result;

[0057] When dynamic prompts are given for subsequent production optimization of different non-standard building parts that appear in the search based on the evaluation results, the first selected non-standard building material parts and the second selected non-standard building material parts are marked as first target non-standard building material parts and second target non-standard building material parts according to the search high-impact labels in the evaluation results, and the target size search data and target shape search data of all target searches recommended for the first target non-standard building material parts and the second target non-standard building material parts are obtained, and the target size search data and target shape search data of all target searches are pushed to the manufacturers corresponding to the first target non-standard building material parts and the second target non-standard building material parts. Optimization prompts for standard production.

[0058] Different from the existing technical solutions in which suppliers, manufacturers and design units are unable to share data on non-standard building material parts, resulting in the defect of being unable to specifically improve and unify the production of specifications and standards for different needs; in the embodiments of the present invention, through the integration and analysis of target search data and sample building material non-standard parts data, the utilization effect of building material non-standard parts data resources and the optimization effect of specification and standard production can be expanded.

[0059] In addition, the formulas involved in the above are all dimensionless and numerical calculations, and are the formulas closest to the actual situation obtained by collecting a large amount of data and performing software simulation.

[0060] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0061] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple 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.

[0062] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0063] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A data processing method for non-standard building materials, characterized in that: include: Obtain the sample names, sample application types, sample shapes, sample sizes, sample manufacturers and sample sellers corresponding to different sample building materials and non-standard parts; All sample building material non-standard parts of the same sample application type are grouped to obtain large group classification data of several type groups, and all sample building material non-standard parts of the same sample name are grouped according to the large group classification data to obtain small group classification data of several name groups; Upload the large group classification data and the small group classification data to the building materials non-standard parts sharing platform, and perform validity matching analysis on the demand data actively searched for each target by the building materials non-standard parts sharing platform to obtain a recommendation analysis set consisting of the first recommendation analysis data and the second recommendation analysis data; According to all the recommended analysis sets within the monitoring period, the search impact assessment is carried out on the different non-standard building material parts that appear in the search, and dynamic prompts are given for the subsequent production optimization of the different non-standard building parts that appear in the search based on the assessment results; including: During the monitoring period, all recommendation analysis sets are obtained and traversed in sequence. If the first recommended non-standard building material parts and the second recommended non-standard building material parts exist in the traversed recommendation analysis sets at the same time, they are marked as the first selected non-standard building material parts and the second selected non-standard building material parts respectively; the total number of recommendations for all the first selected non-standard building material parts and the second selected non-standard building material parts are counted, and the total number of recommendations is compared with the preset recommendation threshold to determine the evaluation result consisting of searching for high-impact tags or searching for low-impact tags; If the total number of recommendations is not less than the recommendation threshold, a search high-impact tag is generated; If the total number of recommendations is less than the recommendation threshold, a search low-impact tag is generated; When dynamically prompting subsequent production optimization of different non-standard building parts that appear in the search based on the evaluation results, the first selected non-standard building material part and the second selected non-standard building material part are marked as the first target non-standard building material part and the second target non-standard building material part according to the search high-impact label in the evaluation results, and the target size search data and the target shape search data of all target searches recommended for the first target non-standard building material part and the second target non-standard building material part are obtained, and the target size search data and the target shape search data of all target searches are pushed to the manufacturers corresponding to the first target non-standard building material part and the second target non-standard building material part. Optimization prompts for standard production; The first step of obtaining the recommended analysis data includes: Obtain the target active search content and extract the target application type and target name of the corresponding target building material non-standard parts, and traverse and match the target application type and target name with all sample application types in the large group classification data and all sample names in the small group classification data in the building material non-standard parts sharing platform to obtain a first search signal or a second search signal; 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 a selected name; If at most one of the following conditions exists: there exists a sample application type that is the same as the target application type and there exists a sample name that is the same as the target name, a second search signal is generated and a prompt is generated that there is no sample building material non-standard part; The target size contained in the target active search content is obtained and traversed and matched with all sample sizes associated with the selected name. If there is a sample size that is exactly the same as the target size, a search success signal is generated. According to the search success signal, the sample non-standard building material parts corresponding to the sample size are marked as selected non-standard building materials parts, and the sample manufacturers and sample sellers corresponding to the selected non-standard building materials parts are pushed to prompt; If there is a sample size that is partially the same as the target size, a first recommendation signal is generated, and the corresponding sample non-standard building material part is marked as a first recommended non-standard building material part according to the first recommendation signal, and a push notification is sent to the sample manufacturer and sample seller corresponding to the first recommended non-standard building material part; If all sample sizes are different from the target size, a first failure signal is generated; The search success signal and the selected non-standard building material, the first recommendation signal and the selected non-standard building material, or the first failure signal constitute the first recommendation analysis data; Obtain the target shape contained in the target active search content and traverse and match all sample shapes associated with the selected name. If there is a sample shape identical to the target shape, generate a second recommendation signal, mark the sample non-standard building material part corresponding to the sample shape as the second recommended non-standard building material part according to the second recommendation signal, and push prompts to the sample manufacturer and sample seller corresponding to the second recommended non-standard building material part; If all sample shapes are different from the target shape, a second failure signal is generated; The second recommendation signal and the second recommended building material non-standard part or the second failure signal constitute the second recommendation analysis data.

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