CN115983797A - Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project - Google Patents
Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project Download PDFInfo
- Publication number
- CN115983797A CN115983797A CN202310001955.8A CN202310001955A CN115983797A CN 115983797 A CN115983797 A CN 115983797A CN 202310001955 A CN202310001955 A CN 202310001955A CN 115983797 A CN115983797 A CN 115983797A
- Authority
- CN
- China
- Prior art keywords
- list
- matching
- approximate calculation
- data matching
- calculation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 140
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000007726 management method Methods 0.000 claims abstract description 47
- 238000009434 installation Methods 0.000 claims description 15
- 238000010276 construction Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 5
- 230000011218 segmentation Effects 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 2
- 238000010835 comparative analysis Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000013475 authorization Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012550 audit Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Images
Classifications
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a metallurgical engineering project engineering quantity list data matching and super-approximate calculation early warning management method, which comprises the following steps: transmitting the approximate calculation list and the purchase list in the cost management module to the data matching module by taking the project as a unit, and storing the approximate calculation list and the purchase list in a data matching pool in the data matching module; the data matching pool carries out data matching on the approximate calculation list and the purchase list input into the data matching pool; the data matching pool carries out primary matching on the rough calculation list and the purchase list. The invention provides a method for managing data matching and overgross calculation early warning of a metallurgical engineering project engineering quantity list, which solves the problem of the correlation loss of a purchasing engineering quantity list and a gross calculation engineering quantity list through a matching algorithm, reconstructs the correlation, realizes the contrastive analysis of winning bid engineering quantity, unit price and the gross calculation engineering quantity list in purchasing, and achieves the real-time and dynamic overgross calculation early warning and overlimit early warning, thereby achieving the aim of fine management of cost control.
Description
Technical Field
The invention relates to the technical field of data matching of a metallurgical engineering project engineering quantity list, in particular to a data matching and over-approximate-computation early warning management method for the metallurgical engineering project engineering quantity list.
Background
The work volume list is an important component of the contract, and represents all the project items and contents to be executed, which are specified in the contract, in a list form according to the project location, the property, the quantity, the unit price, the closing price, and the like, and is used as a basis for calculating the project price after the approximate calculation compilation, the purchase invitation, the bid price, and the closing price. The metallurgical engineering project generally goes through several main stages from project establishment to production operation, such as estimation, procurement and settlement. In the stage of purchasing and tendering, the tendering engineering quantity list may summarize the approximate calculation list, or the tendering and tendering file is made again according to the construction drawing, so that the approximate calculation list is not completely consistent with the purchasing list, the list data matching is required, and the early warning management is performed after the matching is successful.
If the authorization notice number is CN114201147A, and the authorization notice date is 2022-03-18, the method for analyzing and managing the data of the project approximate calculation, settlement and settlement comprises the following steps: manufacturing a pc-end application program framework, packaging into an application applet, and establishing a data storage mode and a temporary storage area; establishing a program page; manufacturing a dragging and leading-in function, and adding a leading-in check formula and a data screening and inquiring function; making a data list and selecting a specified item, and calculating an approximate value and the total construction cost of the project; importing an audit data table, comparing the sum value with the approximate value, outputting the problem project if the sum value is larger, and ending; if the calculated value is small, entering a calculation module of a single project approximate value, and if a project with output problems exists, ending the project; if the project does not enter a single calculation module of the total construction cost of the project, if the project has output problems, the project is ended; if not. The invention can effectively analyze the composition of the approximate calculation amount of the engineering project, ensure that the total settlement and settlement amount of the engineering is in a specified range, save the manual calculation cost, improve the working quality and effect and ensure the calculation accuracy of the settlement and settlement amount.
If the authorized notice number is CN112686579A, and the authorized notice date is 2021-04-20, the settlement control over-approximate calculation early warning method and system for the engineering project are provided. The early warning method divides a construction stage before an engineering project settlement stage into a plurality of project nodes, compares contract amount of each project node with a corresponding node early warning value when the project node occurs, and sends out corresponding over-approximate-calculation early warning when the contract amount of the project node exceeds the corresponding node early warning value. The invention also discloses a corresponding temperature early warning system, which comprises: the project node monitoring unit is used for acquiring the contract amount of the project node when the project node occurs; and the central management unit is used for inputting the contract amount of the project node into the super-probability early warning model and acquiring a corresponding super-probability early warning result. The settlement control super-approximate calculation early warning method and system can perform super-approximate calculation early warning on each construction stage before settlement, so that the super-approximate control effect on project settlement can be improved.
In the purchasing stage, the general calculation list will be collected by the bidding engineering quantity list, or the bidding document will be made again according to the construction drawing, so the association relationship between the general calculation list and the bidding (winning bid) list will be disconnected, the fine management of the fee control is not convenient to be performed, and because there is no corresponding relationship, it is not known whether the list detail is over general calculation, over-limit amount, or not, the detail statistics can not be performed.
Disclosure of Invention
The invention aims to provide a method for early warning and managing data matching and super-approximate calculation of a metallurgical engineering project engineering quantity list so as to overcome the defects in the prior art.
In order to achieve the above purpose, the invention provides the following technical scheme:
the method for early warning and management of the matching of the project quantity list data of the metallurgical engineering project and the super-approximate calculation comprises the following steps:
s1, transmitting an approximate calculation list and a purchase list in a cost management module to a data matching module by taking a project as a unit, and storing the approximate calculation list and the purchase list in a data matching pool in the data matching module;
s2, the data matching pool carries out data matching on the approximate calculation list and the purchase list input into the data matching pool;
s3, the data matching pool carries out primary matching on the approximate calculation list and the purchasing list, if the automatic matching is successful, the approximate calculation list and the purchasing list are stored into a matching success table, if the automatic matching is not successful, an identifier is made and temporarily stored in a matching buffer area, and manual intervention and adjustment are carried out;
and S4, adjusting the approximate calculation list and the purchasing list temporarily stored in the matching buffer area, intervening and performing secondary matching on the adjusted approximate calculation list and purchasing list data until complete matching is successful, establishing a complete corresponding relation between the approximate calculation and the purchasing list, and transmitting the data into the early warning management module.
Furthermore, the cost management module comprises an approximation module and a purchasing module, wherein the approximation module comprises an approximation list unit taking items as units, and the purchasing module comprises a purchasing list unit taking items as units; the data matching module comprises a data matching pool, and the early warning management module comprises a purchase list over-approximate calculation early warning unit and a purchase list over-fee control line early warning unit; the approximate calculation module carries out approximate calculation management on the items and outputs the approximate calculation list details to the data matching module by taking the items as units.
Furthermore, the purchasing module performs purchasing management on the items, and outputs purchasing list details to the data matching module by taking the items as units.
Further, the purchase list and the approximate calculation list are divided into a building installation cost list and an equipment list respectively, and the building installation cost list and the equipment list are matched separately through a data matching pool.
Further, the data matching principle of the data matching pool is as follows:
if the list code exists, carrying out hierarchical matching by using 9 bits, 6 bits and 4 bits in sequence according to the list code;
if no list code exists, accurately matching according to the list name, the item characteristics and the unit, and then carrying out fuzzy matching;
the list code is 12 bits, the stream code is removed from the list code in 12 bits, and the stream code is the last 3 bits.
Further, the data matching pool in S1 has the following data matching relationship:
one purchasing list corresponds to one approximate calculation list;
one purchasing list corresponds to a plurality of approximate calculation lists;
multiple purchase lists correspond to multiple approximate calculation lists or a purchase list has no corresponding approximate calculation list.
Furthermore, names, units and items are required to be added in sequence corresponding to the plurality of approximate calculation lists by the plurality of purchasing lists, and finally, the plurality of pairs of lists are converted into one-to-one or one-to-many successful matching, and standardized processing is firstly performed on characters of measurement units which are different and have the same meaning.
Further, if the equipment list has no standard equipment list number, the matching mode is the same as the list processing mode without the list number in the building installation expense list;
the device inventory matching comprises the following steps:
A. matching the equipment approximate calculation list with the equipment purchase list, accurately matching according to the equipment names, and if only one equipment is matched, successfully matching;
B. if the multiple approximate calculation lists are matched, merging repeated approximate calculation lists for purchase, namely, a one-to-many relationship, and apportioning according to the engineering quantity;
C. and if the precise matching according to the equipment name has no result, performing fuzzy matching according to the equipment name.
Furthermore, matching degree scoring is carried out on the fuzzy matching firstly, and the fuzzy matching is realized through a text similarity scoring algorithm, wherein the text refers to names and projects;
the fuzzy matching comprises the following steps:
a. before calculating the score, segmenting words of the text, and arranging a dictionary base matched with the industry on a background for segmenting words;
b. and giving different weights to each word, adding the corresponding word segmentation weights to obtain the score of each word segmentation, and calculating the weights through the word frequency and the reverse document frequency.
Further, the early warning management module automatically early warns or manually triggers early warning inspection.
In the technical scheme, the method for managing the engineering quantity list data matching and the overgross calculation early warning of the metallurgical engineering project solves the problem of association loss of the purchasing engineering quantity list and the overgross calculation engineering list data through a matching algorithm, reconstructs association relation, realizes the comparative analysis of purchasing winning bid engineering quantity, unit price and the overgross calculation engineering quantity list, and achieves real-time and dynamic overgross calculation early warning and overlimit early warning, thereby achieving the aim of fine management of cost control.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a functional structure diagram provided in an embodiment of the method for matching and performing super-approximate calculation early warning management on the engineering quantity list data of the metallurgical engineering project.
Detailed Description
In order to make the technical solutions of the present invention better understood, those skilled in the art will now describe the present invention in further detail with reference to the accompanying drawings.
As shown in figure 1, the system corresponding to the method for managing the engineering quantity list data matching and the super-approximate calculation early warning of the metallurgical engineering project comprises a construction cost management module, a data matching module and an early warning management module,
the cost management module comprises an approximation module and a purchasing module,
the approximate calculation module carries out approximate calculation management on the items and outputs an approximate calculation list detail to the data matching module by taking the items as units;
the summary list may also be collected from other cost or project management systems. The fields of the rough calculation list in the metallurgical industry comprise WBS codes, physical quantity codes, list names, project characteristics, units, engineering quantities, construction expenses, equipment expenses, installation expenses, price and the like;
the purchasing module performs purchasing management on the items and outputs purchasing list details to the data matching module by taking the items as units;
the purchase list can also be collected from other procurement management systems. The fields of the purchase list comprise the fields of list codes, list names, item characteristics, units, engineering quantities, safety fee construction, equipment fees, price combination and the like, the fields are consistent with the approximate calculation list base, but the related fees are the sum of money in the purchase stage;
the system comprises an estimation module, a purchasing module and a control module, wherein the estimation module stores an estimation list taking items as units, and the purchasing module stores a purchasing list taking the items as units;
the data matching module comprises a data matching pool, the early warning management module comprises a purchase list over-approximate calculation early warning unit and a purchase list over-fee control line early warning unit, and the early warning management module can automatically early warn or manually trigger early warning check;
the invention can realize one-to-one comparative analysis of bid winning engineering quantity, unit price and estimated engineering quantity lists, automatically displays the engineering quantity and data exceeding the estimated calculation in red, and realizes real-time and dynamic early warning of the excess estimated calculation.
The data matching and super-approximate calculation early warning management method comprises the following steps:
s1, transmitting an approximate calculation list and a purchase list in a cost management module to a data matching module by taking a project as a unit, and storing the approximate calculation list and the purchase list in a data matching pool in the data matching module;
s2, the data matching pool carries out data matching on the approximate calculation list and the purchase list input into the data matching pool;
the data matching principle of the data matching pool is as follows:
if the list code exists, carrying out hierarchical matching by using 9 bits, 6 bits and 4 bits in sequence according to the list code, and firstly carrying out accurate matching;
if no list code exists, accurately matching according to the list name, the item characteristics and the unit, and then carrying out fuzzy matching;
fuzzy matching is carried out matching degree scoring firstly, and is realized through a text similarity scoring algorithm, wherein texts refer to list names and project characteristics;
the fuzzy matching comprises the following steps:
a. before calculating the score, segmenting words of the text, and arranging a dictionary base matched with the industry on a background for segmenting words;
b. giving different weights to each word, adding the weights of the corresponding participles to obtain the score of each participle, and calculating the weights through the word frequency and the reverse document frequency;
the list code is 12 bits, the stream code is removed from the list code in the 12 bits, and the stream code is the last 3 bits;
s3, the data matching pool carries out primary matching on the approximate calculation list and the purchase list, if the automatic matching is successful, the approximate calculation list and the purchase list are stored in a matching success table, if the automatic matching is not successful, an identifier is made and temporarily stored in a matching buffer area, and manual intervention and adjustment are carried out;
and S4, manually intervening and adjusting the approximate calculation list and the purchasing list which are temporarily stored in the matching buffer area, and performing secondary matching on the data of the approximate calculation list and the purchasing list after intervening and adjusting until the complete matching is successful, establishing a complete corresponding relation between the approximate calculation and the purchasing list, and transmitting the data into the early warning management module.
Further, the purchase list and the approximate calculation list are divided into a building installation cost list and an equipment list, and the building installation cost list and the equipment list are separately matched by a data matching pool;
the matching mode of the equipment list without the standard equipment list number is the same as the processing mode of the list without the standard equipment list number in the building installation expense list;
the device inventory matching comprises the following steps:
A. matching the equipment approximate calculation list with the equipment purchase list, accurately matching according to the equipment names, and if only one equipment is matched, successfully matching;
B. if the plurality of approximate calculation lists can be matched, judging that the approximate calculation lists are merged for purchase, namely the one-to-many relation is shared according to the engineering quantity;
C. and if the precise matching according to the equipment name has no result, performing fuzzy matching according to the equipment name.
Further, the data matching pool has the following data matching relationship:
one purchasing list corresponds to one approximate calculation list;
one purchasing list corresponds to a plurality of approximate calculation lists;
multiple purchase lists correspond to multiple approximate calculation lists or a purchase list has no corresponding approximate calculation list.
The multiple purchasing lists corresponding to the multiple approximate calculation lists need to sequentially increase the list names, units and project characteristics, multiple-to-multiple is finally converted into one-to-one or one-to-multiple successful matching under more accurate conditions, and standardized processing is firstly carried out on the words of measurement units which are different and have the same meaning, such as ton, T, T and 1000KG, which are processed according to ton.
Example 1
The data matching and super-approximate calculation early warning management method comprises the following steps:
s1, transmitting an approximate calculation list and a purchase list in a cost management module to a data matching module by taking a project as a unit, and storing the approximate calculation list and the purchase list in a data matching pool in the data matching module;
s2, the data matching pool carries out data matching on the approximate calculation list and the purchase list input into the data matching pool;
the data matching pool has the following data matching relationship:
one purchasing list corresponds to one approximate calculation list;
one purchasing list corresponds to a plurality of approximate calculation lists;
multiple purchasing lists correspond to multiple approximate calculation lists;
one purchase list has no corresponding approximate calculation list.
The data matching principle of the data matching pool is as follows:
if the list code exists, carrying out hierarchical matching by using 9 bits, 6 bits and 4 bits in sequence according to the list code, and firstly carrying out accurate matching;
if no list code exists, accurately matching according to the list name, the item characteristics and the unit, and then carrying out fuzzy matching;
fuzzy matching is firstly carried out matching degree grading, and is realized through a text similarity grading algorithm, wherein texts refer to list names and project characteristics;
the fuzzy matching comprises the following steps:
a. before calculating the score, segmenting words of the text, and arranging a dictionary base matched with the industry on a background for segmenting words;
b. giving different weights to each word, adding the weights of the corresponding participles to obtain the score of each participle, and calculating the weights through the word frequency and the reverse document frequency;
the list code is 12 bits, the stream code is removed from the list code in the 12 bits, and the stream code is the last 3 bits;
s3, the data matching pool carries out primary matching on the approximate calculation list and the purchasing list, if the automatic matching is successful, the approximate calculation list and the purchasing list are stored into a matching success table, if the automatic matching is not successful, an identifier is made and temporarily stored in a matching buffer area, and manual intervention and adjustment are carried out;
and S4, manually intervening and adjusting the approximate calculation list and the purchase list temporarily stored in the matching buffer area, and performing secondary matching on the data of the approximate calculation list and the purchase list after intervening and adjusting until complete matching is successful, establishing a complete corresponding relation between the approximate calculation and the purchase list, and transmitting the data into the early warning management module.
Example 2
The device inventory matching comprises the following steps:
A. matching the equipment approximate calculation list with the equipment purchase list, accurately matching according to the equipment names, and if only one equipment is matched, successfully matching;
B. if the plurality of approximate calculation lists can be matched, judging that the approximate calculation lists are merged for purchase, namely the one-to-many relation is shared according to the engineering quantity;
C. and if the precise matching according to the equipment name has no result, performing fuzzy matching according to the equipment name.
Example 3
Data matching module algorithm model
And the data matching module is used for performing data matching on the approximate calculation list and the purchase list input into the data matching pool. First-stage matching is carried out, if automatic matching is successful, the matching is stored in a matching success table, if the matching is not successful, identification is carried out and temporarily stored in a matching buffer area, manual intervention adjustment is carried out, data after the matching is successful again enters second-stage matching, until complete matching is achieved, the complete corresponding relation between the approximate calculation and the purchase list is established, and the data are transmitted to an early warning management module.
The general calculation list and the purchasing list of the construction project in the metallurgical industry are respectively detailed in a building installation expense list (building installation expense list for short) and an equipment list and separately purchased. The list of the building and installation expenses is generally prepared by using 'valuation rules of a metallurgical industry construction engineering quantity list (2013 edition)', and the specification of the list is a national industry standard and is an industry standard observed by design houses, construction units and construction units. In the pricing rule of the metallurgy list, the serial number of the standard list is 12-bit code, and the equipment list has no relevant national standard.
Based on the analysis of the actual situation of the list data, the list of the installation cost of the building and the list of the equipment are considered separately when a matching algorithm is designed.
General principle of building installation fee list matching: if the list code exists, the hierarchical matching is carried out by using 9 bits (the stream code is removed from 12 bits, and the last 3 bits are the stream code), 6 bits and 4 bits in sequence according to the list code, and the accurate matching is firstly carried out, and then the fuzzy matching is carried out. If no list code exists, the list is matched accurately according to the list name, the item characteristics and the unit, and then fuzzy matching is carried out. The exact match according to the list name, item feature and unit means that the list name, item feature and unit are completely equal. The fuzzy matching means that the word segmentation scores according to the weight through a fuzzy matching algorithm, and the highest scoring pair is used as a matching item. See in particular the description of the fuzzy matching algorithm below.
When matching, matching the approximate calculation list with the purchase list, wherein logically, four matching relations exist: one procurement list corresponds to one approximate calculation list (one-to-one for short), one procurement list corresponds to a plurality of approximate calculation lists (one-to-many for short), a plurality of procurement lists correspond to a plurality of approximate calculation lists (many-to-many for short), and one procurement list does not find the corresponding approximate calculation list (no matching for short). The corresponding standard is as follows: if the first 9 digits of the numbering are completely the same, the correspondence is judged.
If the matching is one-to-one or one-to-many, the program judges that the matching is successful.
If the condition is many-to-many, the list name, unit and item characteristics are required to be added in sequence, so that the condition of more accuracy is used for finally converting the many-to-many into one-to-one or one-to-many successful matching.
The characters of the measurement units are different and have the same meaning, and standardized treatment is firstly carried out, such as treatment according to ton, T, T and 1000 KG.
The method for managing the engineering quantity list data matching and the overgross calculation early warning of the metallurgical engineering project solves the problem of the association loss of the procurement engineering quantity list and the gross calculation engineering list data through a matching algorithm, reconstructs the association relation, realizes the comparative analysis of the procurement winning engineering quantity, the unit price and the gross calculation engineering quantity list, and achieves the real-time and dynamic overgross calculation early warning and overlimit early warning, thereby achieving the aim of fine management of cost control.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and are not to be construed as limiting the scope of the invention.
Claims (10)
1. The method for early warning and management of the matching of the engineering quantity list data of the metallurgical engineering project and the super-approximate calculation is characterized by comprising the following steps of:
s1, transmitting an approximate calculation list and a purchase list in a cost management module to a data matching module by taking a project as a unit, and storing the approximate calculation list and the purchase list in a data matching pool in the data matching module;
s2, the data matching pool carries out data matching on the approximate calculation list and the purchase list input into the data matching pool;
s3, the data matching pool carries out primary matching on the approximate calculation list and the purchasing list, if the automatic matching is successful, the approximate calculation list and the purchasing list are stored in a matching success table, if the automatic matching is not successful, an identifier is made and temporarily stored in a matching buffer area, and manual intervention and adjustment are carried out;
and S4, adjusting the approximate calculation list and the purchasing list temporarily stored in the matching buffer area, performing secondary matching on the data of the approximate calculation list and the purchasing list after the interference adjustment until the complete matching is successful, so as to establish a complete corresponding relation between the approximate calculation and the purchasing list, and transmitting the data into an early warning management module.
2. The method for early warning and managing the matching of the project amount list data of the metallurgical engineering project and the over-approximation calculation is characterized in that the construction cost management module comprises an approximation calculation module and a purchase module, wherein the approximation calculation module comprises an approximation calculation list unit taking the project as a unit and the purchase module comprises a purchase list unit taking the project as a unit; the data matching module comprises a data matching pool, and the early warning management module comprises a purchase list over-approximate calculation early warning unit and a purchase list over-fee control line early warning unit; the approximate calculation module carries out approximate calculation management on the items and outputs the approximate calculation list details to the data matching module by taking the items as units.
3. The method as claimed in claim 2, wherein the purchasing module performs purchasing management of the project, and outputs purchasing list details to the data matching module in units of the project.
4. The method as claimed in claim 1, wherein the purchase list and the estimate list are divided into a building installation expense list and an equipment list, and the building installation expense list and the equipment list are separately matched by a data matching pool.
5. The metallurgical engineering project engineering quantity list data matching and super-approximate calculation early warning management method as claimed in claim 1, wherein the data matching principle of the data matching pool is as follows:
if the list code exists, carrying out hierarchical matching by using 9 bits, 6 bits and 4 bits in sequence according to the list code;
if no list code exists, accurately matching according to the list name, the item characteristics and the unit, and then carrying out fuzzy matching;
the list code is 12 bits, the stream code is removed from the list code in 12 bits, and the stream code is the last 3 bits.
6. The metallurgical engineering project engineering quantity list data matching and super-approximate-calculation early warning management method as claimed in claim 1, wherein the data matching pool in S1 has the following data matching relationship:
one purchasing list corresponds to one approximate calculation list;
one purchasing list corresponds to a plurality of approximate calculation lists;
multiple purchase lists correspond to multiple approximate calculation lists or a purchase list has no corresponding approximate calculation list.
7. The method as claimed in claim 6, wherein the said purchase lists are corresponding to the said multiple general calculation lists and need to add names, units and items in turn, finally, the said multiple purchase lists are converted into one-to-one or one-to-multiple successful matching, and the words of the measurement units are different and have the same meaning, and are standardized first.
8. The method for early warning and managing the data matching and the super-approximate calculation of the list of the engineering quantities of the metallurgical engineering project according to claim 4, wherein if the equipment list has no standard equipment list number, the matching mode is the same as the processing mode of the list without the list number in the building installation expense list;
the device inventory matching comprises the following steps:
A. matching the equipment approximate calculation list with the equipment purchase list, accurately matching according to the equipment names, and if only one equipment is matched, successfully matching;
B. if a plurality of approximate calculation lists are matched, merging repeated approximate calculation lists for purchase, namely, a one-to-many relationship is shared according to the engineering quantity;
C. and if the precise matching according to the equipment name has no result, performing fuzzy matching according to the equipment name.
9. The metallurgical engineering project engineering quantity list data matching and super-approximate-calculation early warning management method as claimed in claim 5, wherein the fuzzy matching is carried out matching degree grading firstly, and is realized through a text similarity grading algorithm, and the text refers to name and project;
the fuzzy matching comprises the following steps:
a. before calculating the score, segmenting words of the text, and arranging a dictionary base matched with the industry on a background for segmenting words;
b. and giving different weights to each word, adding the corresponding word segmentation weights to obtain the score of each word segmentation, and calculating the weights through the word frequency and the reverse document frequency.
10. The method for early warning and management of the list data matching and super-approximate calculation of the engineering quantity of the metallurgical engineering project according to claim 1, wherein the early warning management module automatically early warns or manually triggers early warning inspection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310001955.8A CN115983797A (en) | 2023-01-03 | 2023-01-03 | Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310001955.8A CN115983797A (en) | 2023-01-03 | 2023-01-03 | Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115983797A true CN115983797A (en) | 2023-04-18 |
Family
ID=85959356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310001955.8A Pending CN115983797A (en) | 2023-01-03 | 2023-01-03 | Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115983797A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116957505A (en) * | 2023-07-25 | 2023-10-27 | 江苏东南工程咨询有限公司 | Audit method, device, equipment and storage medium based on engineering completion settlement |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003167985A (en) * | 2001-11-28 | 2003-06-13 | Union Soft Kk | Cash flow management system and management method |
| JP2006209630A (en) * | 2005-01-31 | 2006-08-10 | Hi System:Kk | Cost management system and program |
| AU2012202421A1 (en) * | 2005-02-11 | 2012-05-17 | Volt Information Sciences Inc | Project Work Change in Plan/Scope Administrative and Business Information Synergy System and Method |
| CN104850940A (en) * | 2015-04-29 | 2015-08-19 | 国网辽宁省电力有限公司鞍山供电公司 | Completion settlement making method and completion settlement making system based on project whole-process management |
| CN105069542A (en) * | 2015-06-25 | 2015-11-18 | 中铁四局集团有限公司 | Responsibility cost budget drafting method and system |
| CN109472642A (en) * | 2018-11-09 | 2019-03-15 | 国网湖南省电力有限公司 | The editing of electricity power engineering cost and inventory application system based on working drawing budget management |
| CN109872043A (en) * | 2019-01-17 | 2019-06-11 | 上海申元工程投资咨询有限公司 | A kind of cost process risk management-control method and its system |
| CN112163813A (en) * | 2020-10-09 | 2021-01-01 | 鑫锢(江苏)供应链管理有限公司 | Transaction list accounting method for online purchasing |
| CN112446649A (en) * | 2019-08-27 | 2021-03-05 | 国网山西省电力公司运城供电公司 | Method and device for examining material purchasing plan |
| CN112686579A (en) * | 2021-01-31 | 2021-04-20 | 重庆渝高科技产业(集团)股份有限公司 | Early warning method and system for settlement control over approximate calculation of engineering project |
| US20210350427A1 (en) * | 2018-09-20 | 2021-11-11 | China Construction Science & Technology Group Co., Ltd. | Method and device for cost early warning of prefabricated building |
| CN114358734A (en) * | 2021-12-29 | 2022-04-15 | 深圳供电局有限公司 | Project capital budget estimate management and control method and system |
-
2023
- 2023-01-03 CN CN202310001955.8A patent/CN115983797A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003167985A (en) * | 2001-11-28 | 2003-06-13 | Union Soft Kk | Cash flow management system and management method |
| JP2006209630A (en) * | 2005-01-31 | 2006-08-10 | Hi System:Kk | Cost management system and program |
| AU2012202421A1 (en) * | 2005-02-11 | 2012-05-17 | Volt Information Sciences Inc | Project Work Change in Plan/Scope Administrative and Business Information Synergy System and Method |
| CN104850940A (en) * | 2015-04-29 | 2015-08-19 | 国网辽宁省电力有限公司鞍山供电公司 | Completion settlement making method and completion settlement making system based on project whole-process management |
| CN105069542A (en) * | 2015-06-25 | 2015-11-18 | 中铁四局集团有限公司 | Responsibility cost budget drafting method and system |
| US20210350427A1 (en) * | 2018-09-20 | 2021-11-11 | China Construction Science & Technology Group Co., Ltd. | Method and device for cost early warning of prefabricated building |
| CN109472642A (en) * | 2018-11-09 | 2019-03-15 | 国网湖南省电力有限公司 | The editing of electricity power engineering cost and inventory application system based on working drawing budget management |
| CN109872043A (en) * | 2019-01-17 | 2019-06-11 | 上海申元工程投资咨询有限公司 | A kind of cost process risk management-control method and its system |
| CN112446649A (en) * | 2019-08-27 | 2021-03-05 | 国网山西省电力公司运城供电公司 | Method and device for examining material purchasing plan |
| CN112163813A (en) * | 2020-10-09 | 2021-01-01 | 鑫锢(江苏)供应链管理有限公司 | Transaction list accounting method for online purchasing |
| CN112686579A (en) * | 2021-01-31 | 2021-04-20 | 重庆渝高科技产业(集团)股份有限公司 | Early warning method and system for settlement control over approximate calculation of engineering project |
| CN114358734A (en) * | 2021-12-29 | 2022-04-15 | 深圳供电局有限公司 | Project capital budget estimate management and control method and system |
Non-Patent Citations (1)
| Title |
|---|
| 李金华;: "以目标利润为导向的全面预算管理模式", 民营科技, no. 01, 20 January 2015 (2015-01-20) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116957505A (en) * | 2023-07-25 | 2023-10-27 | 江苏东南工程咨询有限公司 | Audit method, device, equipment and storage medium based on engineering completion settlement |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108399154B (en) | Engineering test data acquisition system | |
| CN115983797A (en) | Method for early warning and managing data matching and super-approximate calculation of engineering quantity list of metallurgical engineering project | |
| CN113407651A (en) | Progress information feedback and deviation real-time display method | |
| CN105809195A (en) | Method and apparatus for determining whether merchant belongs to particular merchant class | |
| CN114519498A (en) | Quality evaluation method and system based on BIM (building information modeling) | |
| CN110956303A (en) | Information prediction method, device, terminal and readable storage medium | |
| CN112990697A (en) | Bidding risk value calculation system and method based on deep learning | |
| US20060050684A1 (en) | Message analysis systems and methods | |
| CN111695979A (en) | Method, device and equipment for analyzing relation between raw material and finished product | |
| CN116012178A (en) | Automatic financial accounting method based on artificial intelligence | |
| CN115205026A (en) | Credit evaluation method, device, equipment and computer storage medium | |
| CN114723344A (en) | Foreign technical trade barrier early warning method and system for export products | |
| CN112215711B (en) | Product risk assessment method and device | |
| CN116596395B (en) | Operation quality control platform for engineering project evaluation unit guidance and detection | |
| CN112966946A (en) | Method and device for generating material balance index system framework | |
| CN112711577A (en) | Abnormal transaction enterprise identification method and device | |
| CN116823164A (en) | Business approval method, device, equipment and storage medium | |
| CN115713399A (en) | User credit assessment system combined with third-party data source | |
| CN114925895A (en) | Maintenance equipment prediction method, terminal and storage medium | |
| CN113918558A (en) | Supplier close relation identification method based on community discovery and association rule analysis | |
| CN114066652A (en) | Bond credit rating method based on multi-dimensional model and related equipment | |
| CN113743752A (en) | Data processing method and device | |
| CN115409226A (en) | Data processing method and data processing system | |
| CN116523497B (en) | PMS-based integrating worker Shan Yunwei cost quantification system | |
| CN111402065A (en) | Method and device for mining vehicle insurance fraud groups and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |