CN116452123A - Method and device for generating characteristic value of inventory item and computer equipment - Google Patents
Method and device for generating characteristic value of inventory item and computer equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application relates to a method, a device and computer equipment for generating characteristic values of inventory items. The method comprises the following steps: acquiring a list to be processed; determining a target engineering category list library matched with the list to be processed in a large field database; determining a target list matched with the list to be processed in the target engineering category list library; determining a target price group scheme matched with the list to be processed in the target list; and extracting the project features in the target component scheme, and generating the project feature values of the to-be-processed list according to the extracted project features. By adopting the method, the accuracy of the characteristic value of the list item can be improved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for generating a characteristic value of a manifest item.
Background
Currently, in the listing bidding mode, bidding control prices need to be compiled. The traditional bid-drawing control price compiling work mainly comprises the steps of sending a resource-lifting table to a warp staff according to a two-dimensional drawing mode by a designer, manually calculating engineering quantity according to the resource-lifting table by the warp staff by combining drawings, then sleeving corresponding quota to form a list price, and manually compiling a list item characteristic value according to the list price situation.
However, if the drawing is modified and changed, the technicians need to re-edit the price and then re-edit the characteristic values of the list items, so that repeated modification and adjustment are easy to occur in the process of compiling the characteristic values of the list items, and the problems of errors, omission and the like of the characteristic values of the list items are caused, so that the accuracy is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a storage medium, and a computer program product for generating a characteristic value of a list item, which can improve accuracy of the characteristic value of the list item.
In a first aspect, the present application provides a method for generating a characteristic value of a manifest item. The method comprises the following steps:
acquiring a list to be processed;
determining a target engineering category list library matched with the list to be processed in a large field database;
determining a target list matched with the list to be processed in a target engineering category list library;
determining a target price setting scheme matched with the list to be processed in the target list;
and extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
In one embodiment, determining a target manifest matching the pending manifest in a target engineering category manifest library includes:
determining target project division data matched with a to-be-processed list in a target engineering category list library;
and determining a target list matched with the list to be processed under the target item division data.
In one embodiment, determining target project division data in a target engineering category inventory library that matches a pending inventory includes:
matching the project division path of the to-be-processed list with project division data in a target engineering category list library to obtain a first matching result;
if the first matching result is that the matching is failed, deleting the project division path, and matching the deleted project division path with project division data in the target engineering category list library to obtain a second matching result;
and if the second matching result is the item division data which is successfully matched, determining the item division data which is successfully matched as target item division data matched with the list to be processed.
In one embodiment, the method further comprises:
if the second matching result is that the matching fails, returning to the step of deleting the project dividing path, and continuing the matching operation;
if the project division paths of the to-be-processed list are deleted to the preset level and still cannot be matched, skipping the operation of determining target project division data matched with the to-be-processed list in the target engineering category list library.
In one embodiment, determining a target manifest that matches a pending manifest under the target item partition data includes:
and matching the list codes and list units of the lists under the target project division with standard lists in a target engineering category list library, and determining a target list matched with the to-be-processed list.
In one embodiment, determining a target group rating scheme in the target manifest that matches the pending manifest includes:
acquiring current engineering depth data and a current component scheme of a list to be processed;
and determining a target group price scheme matched with the list to be processed in the target list according to the current engineering depth data and the current component scheme.
In a second aspect, the application further provides a device for generating the characteristic value of the list item. The device comprises:
the list acquisition module is used for acquiring a list to be processed;
the category matching module is used for determining a target engineering category list library matched with the list to be processed in the large-field database;
the list matching module is used for determining a target list matched with the list to be processed in the target engineering category list library;
the component matching module is used for determining a target price-setting scheme matched with the list to be processed in the target list;
and the characteristic value generation module is used for extracting the project characteristic in the target component scheme and generating the project characteristic value of the to-be-processed list according to the extracted project characteristic.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring a list to be processed;
determining a target engineering category list library matched with the list to be processed in a large field database;
determining a target list matched with the list to be processed in a target engineering category list library;
determining a target price setting scheme matched with the list to be processed in the target list;
and extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a list to be processed;
determining a target engineering category list library matched with the list to be processed in a large field database;
determining a target list matched with the list to be processed in a target engineering category list library;
determining a target price setting scheme matched with the list to be processed in the target list;
and extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a list to be processed;
determining a target engineering category list library matched with the list to be processed in a large field database;
determining a target list matched with the list to be processed in a target engineering category list library;
determining a target price setting scheme matched with the list to be processed in the target list;
and extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
The method, the device, the computer equipment, the storage medium and the computer program product for generating the characteristic values of the list items can sequentially and automatically match the target engineering category list library, the target list and the target price-setting scheme of the list to be processed according to the large-area database after the list to be processed is acquired, and generate the characteristic values of the items according to the target price-setting scheme without repeated manual modification and adjustment, thereby solving the problems of error, omission and the like of project characteristic values of engineering personnel expense establishment. The manual repeated workload is reduced by automatically generating the project characteristic values, the rapid generation of the project characteristic values is realized, the compiling efficiency of the bid-inviting control price achievements is improved, and the accuracy of bid-inviting control price compiling is greatly improved. And project characteristic values are generated according to the large field database, so that the problem of difficulty in price diversity and complexity during manual analysis of price combining schemes by technical staff is solved.
Drawings
FIG. 1 is an application environment diagram of a method of generating inventory item feature values in one embodiment;
FIG. 2 is a flow chart of a method for generating inventory item feature values in one embodiment;
FIG. 3 is a flow chart of a process for determining a target inventory matching a to-be-processed inventory in a target engineering category inventory library according to one embodiment;
FIG. 4 is a flowchart illustrating steps for determining target project division data matching a list to be processed in a target engineering category list library according to one embodiment;
FIG. 5 is a block diagram of a device for generating inventory item feature values in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for generating the characteristic value of the list item, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains the to-be-processed list sent by the terminal 102, determines a target engineering category list library matched with the to-be-processed list in the large-area database, thereby determining a target list matched with the to-be-processed list in the target engineering category list library, further determining a target price-setting scheme matched with the to-be-processed list in the target list, extracting item features in the target component scheme, and generating item feature values of the to-be-processed list according to the extracted item features. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, and tablet computers, and the server 104 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for generating characteristic values of inventory items is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
step 202, a list to be processed is obtained.
The to-be-processed list refers to an engineering quantity list needing to generate project characteristic values. The project amount list refers to a detailed list of names and corresponding amounts of the sub-sub project items, measure items, other items, regulation items, and tax items of the construction project.
Specifically, the server may obtain a request for generating a project feature value sent by the terminal, where the request for generating the project feature value carries a list to be processed, and analyze the request for generating the project feature value to obtain the list to be processed. Further, the terminal may further send a request for generating the item feature value carrying the list identifier to the server, where the server parses the request for generating the item feature value to obtain the list identifier, and obtains the to-be-processed list according to the list identifier. The manifest identification is a unique marking, such as a manifest number, that is used to distinguish between the different manifests.
And 204, determining a target engineering category list library matched with the list to be processed in the large field database.
The large field database refers to a large engineering industry database. The engineering industry large database comprises a plurality of engineering category list libraries.
The to-be-processed list comprises a plurality of engineering parameters, and the engineering category list library matched with the to-be-processed list, namely the target engineering category list library, is determined by searching in the large-field database according to the engineering parameters. The engineering parameters may include, among other things, "engineering version," engineering specialty, "" project division, "and" specialty type.
And 206, determining a target list matched with the list to be processed in the target engineering category list library.
The target engineering category list library comprises a plurality of lists and project division data to which each list belongs. The item division data includes item categories to which the list belongs.
And matching the item division data of the to-be-processed list with a target engineering category list library, and determining target item division data matched with the to-be-processed list, so that a target list matched with the to-be-processed list is determined under the target item division data.
In step 208, a target group price scheme matching the list to be processed is determined in the target list.
And after the target list is matched, searching in the target list according to the current price setting scheme of the to-be-processed list, and determining the target price setting scheme matched with the to-be-processed list.
Alternatively, there may be a plurality of target lists obtained by matching, and a target group price scheme matching with the list to be processed is determined in the plurality of target lists.
And 210, extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
And extracting the characteristics of the target component scheme to obtain the project characteristics of the target component scheme. Wherein, the project characteristic refers to the project characteristic field in the target component scheme. And then matching the extracted project features with project features in the to-be-processed list, and assigning values to the project features successfully matched according to the feature values of the extracted project features to generate project feature values of the to-be-processed list. The method comprises the steps of matching the extracted project features with project features in a to-be-processed list to determine corresponding relations between the extracted project features and the project features in the to-be-processed list, and assigning the feature values of the extracted project features to the project features in the to-be-processed list according to the corresponding relations, wherein the feature values of the extracted project features are used as project feature values of the project features in the to-be-processed list to obtain project feature values of the to-be-processed list.
Further, standard project features may be included in the pending manifest, and supplemental project features may also be included. And for the standard project features in the to-be-processed list, the feature values of the extracted project features can be used for assigning values to the successfully matched standard project features. For the supplementary project features, fuzzy matching can be performed through project feature names, and assignment is successfully performed through matching. And for the unmatched supplementary project features, adding the unmatched supplementary project features and the extracted project feature values to the user engineering where the list to be processed is located together for technical staff to refer to.
In the conventional method, project characteristic values are manually compiled by warp technicians, the warp technicians need to analyze the list one by one, the project characteristic values are manually compiled, the workload is large, and the problems of missing tone and wrong tone are easy to occur. In addition, in the process of manually analyzing the project characteristic values, more factors need to be considered, and the diversity and the complexity of the price combination scheme are difficult to compile.
According to the method for generating the characteristic values of the list items, after the to-be-processed list is obtained, the target engineering category list library, the target list and the target price-setting scheme of the to-be-processed list can be sequentially and automatically matched according to the large-area database, the characteristic values of the list items are generated according to the target price-setting scheme, repeated manual modification and adjustment are not needed, and the problems of mistakes, omission and the like of the characteristic values of the project are solved. The manual repeated workload is reduced by automatically generating the project characteristic values, the rapid generation of the project characteristic values is realized, the compiling efficiency of the bid-inviting control price achievements is improved, and the accuracy of bid-inviting control price compiling is greatly improved. And project characteristic values are generated according to the large field database, so that the problem of difficulty in price diversity and complexity during manual analysis of price combining schemes by technical staff is solved.
On the basis of the above embodiment, this embodiment provides an alternative way of determining, in the target engineering category list library, a target list that matches the list to be processed. As shown in fig. 3, the method specifically comprises the following steps:
step 302, determining target project division data matched with the to-be-processed list in a target engineering category list library.
Step 304, determining a target list matched with the list to be processed under the target item division data.
And in the target engineering category list library, matching the complete item division path of the item division data of the to-be-processed list with the item division data in the target engineering category list library. The project division path comprises a plurality of project division levels and project division names of the division levels. If the same item division paths are matched in the item division data in the target engineering category list library, the matching is successful, and target item division data matched with the to-be-processed list is obtained. If the matching fails, deleting the item division path step by step, and matching with the item division data of the target category list library to determine target item division data matched with the to-be-processed list.
And then, under the matched target item division data, matching each list in the target item division data with a preset standard list to determine a target list matched with the list to be processed.
Optionally, by sequentially matching the target engineering category list library, the target list and the target price-setting scheme, executing the next matching item after each item of content is successfully matched, and automatically assigning and generating item characteristics in the price-setting scheme of the to-be-processed list after each item of content is successfully matched.
In this embodiment, the target project division data matched with the to-be-processed list is determined in the target engineering category list library, so that the target list matched with the to-be-processed list is determined under the target project division data, the search range of the list is gradually narrowed, and the search accuracy and efficiency of the target list are improved.
In an alternative manner of the above embodiment, determining, in the target engineering category manifest library, target project division data that matches the to-be-processed manifest includes: matching the project division path of the to-be-processed list with project division data in a target engineering category list library to obtain a first matching result; if the first matching result is that the matching is failed, deleting the project division path, and matching the deleted project division path with project division data in the target engineering category list library to obtain a second matching result; and if the second matching result is the item division data which is successfully matched, determining the item division data which is successfully matched as target item division data matched with the list to be processed.
When item division data matching is carried out, fuzzy matching is carried out preferentially through the complete item division path name, and if the matching is carried out on target item division data, a target list matched with the list to be processed is determined under the target item division data. If the matching of the complete project dividing paths fails, the project dividing paths are deleted step by step, and matching is carried out in the target engineering category list library again.
If the target item division data are matched, continuing to carry out subsequent list matching operation. If the item division reduced to the preset level still cannot be matched, the sub-level is not reduced any more as the unrecognizable item division, and the matching operation of the item division is skipped, so that the list matching operation is directly carried out.
Optionally, a deletable item division range, that is, a deletable preset level, may be preconfigured in the server, and sub-level item divisions of the to-be-processed list may be deleted step by step according to the deletable item division range.
In this embodiment, matching of the project division data is performed in multiple manners, so that target project division data of a to-be-processed list can be flexibly matched, and flexibility of project division matching is improved.
Further, as shown in fig. 4, determining target project division data matched with the to-be-processed list in the target engineering category list library includes:
step 402, matching the project division path of the to-be-processed list with project division data in the target engineering category list library to obtain a first matching result. If the first matching result is the item division data successfully matched, executing step 404; if the first match fails, step 406 is performed.
And step 404, determining the item division data successfully matched as target item division data matched with the to-be-processed list, and determining a target list matched with the to-be-processed list under the target item division data.
In step 406, it is identified whether the project division path is a preset hierarchy. If the level is a preset level; step 408 is performed; if not, step 410 is performed.
Step 408, skipping the operation of determining the target project division data matched with the to-be-processed list in the target engineering category list library, and generating the prompt message of failure in matching.
Step 410, deleting the project division path, and matching the deleted project division path with the project division data in the target engineering category list library to obtain a second matching result. If the second matching result is the item division data successfully matched, executing step 404; if the second match fails, the process returns to step 406.
If the item division levels of the item division data of the list to be processed are deleted step by step until the item division levels are not matched, skipping the item division data matching operation and directly performing list matching.
Illustratively, the complete project division path of the project division data where the to-be-processed list in the current project is located is: substation construction engineering/main production building/relay room/1000 kV relay room; and matching in the project division of the target engineering category list library according to the complete project division path. If the matching fails, the stage is removed from the minimum stage to delete the new project dividing path formed after the minimum stage, such as: substation construction/main production/construction/relay room/1000 kV relay room, "1000kV relay room" means that the hierarchy is deleted and matching is performed again in the target engineering class inventory library. And when the sub-stages are subjected to gradual deletion and level-withdrawal matching to the preset level which cannot be deleted and still cannot be matched, skipping.
In this embodiment, if the matching mode of the complete project division path and the matching mode of the pruning level cannot match the target project division data, the matching operation of the project division data is directly skipped, so that the flexibility of project division data matching is further improved.
In one embodiment, determining a target manifest that matches the manifest to be processed under the target item partition data includes: and matching the list codes and list units of the lists under the target project division with standard lists in a target engineering category list library, and determining a target list matched with the to-be-processed list.
The standard list refers to a list which is completely consistent with the list specification in the target engineering category list library.
The target item partition includes a plurality of manifests. Under the division of the target project, according to the preset engineering depth field, matching the item-by-item list with a standard list in a target engineering category list library according to the sequence from top to bottom.
Specifically, the list codes and list units of the lists under the target project division are matched with the standard lists in the target engineering category list library, and if the matching is successful, the subsequent price combination scheme matching operation is performed. The list code is a code after removing the item division code and the sequence code, for example, the list code of the list BT1202a12001 is a12.
In this embodiment, the list matching efficiency can be improved by performing list matching through key information such as list coding and list units.
In one embodiment, determining a target group rating scheme in the target manifest that matches the pending manifest comprises: acquiring current engineering depth data and a current component scheme of a list to be processed; and determining a target group price scheme matched with the list to be processed in the target list according to the current engineering depth data and the current component scheme.
In this embodiment, the success of the quota matching is a necessary matching condition for the component scheme matching. The successful quota match refers to the engineering depth data matching the quota in the component solution. Specifically, according to the current engineering depth data of the list to be processed and the quota in the current component scheme, whether the matched target component scheme exists in the target list or not is searched. The current engineering depth data refers to engineering attributes of the list to be processed. Further, according to the current engineering depth data of the list to be processed and the quota coding of the quota field and the quota adjustment coefficient affecting the project characteristics in the current component scheme, whether a matched target component scheme exists in the target list or not is searched. If so, extracting the item characteristics of the matched target price group scheme to generate the item characteristic value of the list to be processed. If the characteristic value does not exist, the characteristic value of the project is not assigned through the large-area database, and the characteristic value can be manually compiled by technicians.
Further, component schema matching may also include unnecessary matching conditions, such as region type matching success. The region matching list with the region type matching can be determined in the target list according to the region type of the list to be processed, and if the region matching list with the region type matching exists, whether the matched target component scheme exists in the region matching list or not is searched according to the current engineering depth data of the list to be processed and the quota code of the quota field and the quota adjustment coefficient affecting the project characteristic in the current component scheme. If the region matching list with the region type matching does not exist, the condition is not matched, and whether the matched target component scheme exists in the target list is searched directly according to the current engineering depth data of the list to be processed and the quota code of the quota field and the quota adjustment coefficient affecting the project characteristic in the current component scheme.
In this embodiment, matching of the target component scheme is performed by the current engineering depth data of the to-be-processed manifest and the current component scheme, so that the group price scheme with the highest matching degree can be determined.
In another embodiment, there is provided a method for generating a characteristic value of a manifest item, the method including:
and obtaining a list to be processed.
And determining a target engineering category list library matched with the list to be processed in the large-scale field database.
And matching the project division path of the to-be-processed list with project division data in the target engineering category list library to obtain a first matching result.
If the first matching result is that the matching is failed, deleting the project division path, and matching the deleted project division path with project division data in the target engineering category list library to obtain a second matching result.
And if the second matching result is the item division data which is successfully matched, determining the item division data which is successfully matched as target item division data matched with the list to be processed.
If the second matching result is that the matching fails, returning to the step of deleting the project dividing path, and continuing the matching operation.
If the project division paths of the to-be-processed list are deleted to the preset level and still cannot be matched, skipping the operation of determining target project division data matched with the to-be-processed list in the target engineering category list library.
And matching the list codes and list units of the lists under the target project division with standard lists in a target engineering category list library, and determining a target list matched with the to-be-processed list.
And acquiring the current engineering depth data and the current component scheme of the list to be processed.
And determining a target group price scheme matched with the list to be processed in the target list according to the current engineering depth data and the current component scheme.
And extracting the project features in the target component scheme, and generating project feature values of the to-be-processed list according to the extracted project features.
In this embodiment, after the to-be-processed list is obtained, the target engineering category list library, the project division data, the target list and the target price-grouping scheme of the to-be-processed list can be automatically matched in sequence according to the large-area database, after each item of content is successfully matched, the next matched project is executed, and after each item of content is successfully matched, the project features in the price-grouping scheme are automatically assigned and generated. The method does not need repeated manual modification and adjustment, and solves the problems of error, omission and the like of the characteristic value of the project of the artificial expense of the warp technicians. The manual repeated workload is reduced by automatically generating the project characteristic values, the rapid generation of the project characteristic values is realized, the compiling efficiency of the bid-inviting control price achievements is improved, and the accuracy of bid-inviting control price compiling is greatly improved. And project characteristic values are generated according to the large field database, so that the problem of difficulty in price diversity and complexity during manual analysis of price combining schemes by technical staff is solved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a generating device of the characteristic value of the list item for realizing the generating method of the characteristic value of the list item. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiment of the generating device for one or more characteristic values of the list item provided below may refer to the limitation of the generating method for characteristic values of the list item in the above description, which is not repeated herein.
In one embodiment, as shown in fig. 5, there is provided a generating device for characteristic values of inventory items, including: a manifest acquisition module 502, a first matching module 504, a second matching module 506, a third matching module 508, and a feature value generation module 510, wherein:
the manifest acquisition module 502 is configured to acquire a to-be-processed manifest.
A first matching module 504, configured to determine a target engineering category list library that matches the list to be processed in the large domain database.
A second matching module 506, configured to determine a target manifest matching the to-be-processed manifest in the target engineering category manifest library.
And a third matching module 508, configured to determine a target price group scheme matched with the to-be-processed list in the target list.
The feature value generating module 510 is configured to extract a project feature in the target component solution, and generate a project feature value of the to-be-processed list according to the extracted project feature.
In one embodiment, the first matching module 504 further comprises:
and the item matching module is used for determining target item division data matched with the to-be-processed list in the target engineering category list library.
And the list matching module is used for determining a target list matched with the list to be processed under the target item division data.
In one embodiment, the project matching module is further configured to match the project division path of the to-be-processed manifest with project division data in the target engineering category manifest library to obtain a first matching result; if the first matching result is that the matching is failed, deleting the project division path, and matching the deleted project division path with project division data in the target engineering category list library to obtain a second matching result; and if the second matching result is the item division data which is successfully matched, determining the item division data which is successfully matched as target item division data matched with the list to be processed.
In one embodiment, the item matching module is further configured to return to the step of deleting the item division path if the second matching result is that the matching fails, and continue the matching operation; if the project division paths of the to-be-processed list are deleted to the preset level and still cannot be matched, skipping the operation of determining target project division data matched with the to-be-processed list in the target engineering category list library.
In one embodiment, the list matching module is further configured to match the list codes and list units of the list divided by the target project with standard lists in the target engineering category list library, and determine a target list matched with the to-be-processed list.
In one embodiment, the third matching module 508 is further configured to obtain current engineering depth data and a current component scheme of the to-be-processed manifest; and determining a target group price scheme matched with the list to be processed in the target list according to the current engineering depth data and the current component scheme.
The above-described respective modules in the generation means of the inventory item feature values may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data such as a target engineering category list library, a target list, a target price-group scheme and the like. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of generating a manifest item feature value.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method for generating a characteristic value of a manifest item, the method comprising:
acquiring a list to be processed;
determining a target engineering category list library matched with the list to be processed in a large field database;
determining a target list matched with the list to be processed in the target engineering category list library;
determining a target price group scheme matched with the list to be processed in the target list;
and extracting the project features in the target component scheme, and generating the project feature values of the to-be-processed list according to the extracted project features.
2. The method of claim 1, wherein said determining a target inventory in the target engineering category inventory library that matches the pending inventory comprises:
determining target project division data matched with the to-be-processed list in the target engineering category list library;
and determining a target list matched with the list to be processed under the target item division data.
3. The method of claim 2, wherein said determining in said target engineering category inventory library target item split data matching said pending inventory comprises:
matching the project division path of the to-be-processed list with project division data in the target engineering category list library to obtain a first matching result;
if the first matching result is that the matching is failed, deleting the project division path, and matching the deleted project division path with project division data in the target engineering category list library to obtain a second matching result;
and if the second matching result is the item division data which is successfully matched, determining the item division data which is successfully matched as target item division data matched with the list to be processed.
4. A method according to claim 3, characterized in that the method further comprises:
if the second matching result is that the matching fails, returning to the step of deleting the project dividing path, and continuing the matching operation;
if the project division paths of the to-be-processed list are deleted to a preset level and still cannot be matched, skipping the operation of determining target project division data matched with the to-be-processed list in the target engineering category list library.
5. The method of claim 2, wherein said determining a target manifest that matches said pending manifest under said target item partitioning data comprises:
and matching the list codes and list units of the lists under the target project division with standard lists in the target engineering category list library, and determining a target list matched with the to-be-processed list.
6. The method of claim 1, wherein said determining in said target manifest a target set of prices matching said pending manifest comprises:
acquiring current engineering depth data and a current component scheme of the list to be processed;
and determining a target group price scheme matched with the list to be processed in the target list according to the current engineering depth data and the current component scheme.
7. A device for generating a characteristic value of a manifest item, the device comprising:
the list acquisition module is used for acquiring a list to be processed;
the category matching module is used for determining a target engineering category list library matched with the list to be processed in the large-field database;
the list matching module is used for determining a target list matched with the list to be processed in the target engineering category list library;
the component matching module is used for determining a target price-setting scheme matched with the list to be processed in the target list;
and the characteristic value generation module is used for extracting the project characteristic in the target component scheme and generating the project characteristic value of the to-be-processed list according to the extracted project characteristic.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| CN117273270A (en) * | 2023-09-21 | 2023-12-22 | 广州地铁设计研究院股份有限公司 | Engineering quota evaluation method and device, terminal equipment and storage medium |
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| CN117273270A (en) * | 2023-09-21 | 2023-12-22 | 广州地铁设计研究院股份有限公司 | Engineering quota evaluation method and device, terminal equipment and storage medium |
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