CN104899702B - Decoration norm for detailed estimates management system based on big data and management method - Google Patents
Decoration norm for detailed estimates management system based on big data and management method Download PDFInfo
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- CN104899702B CN104899702B CN201510364878.8A CN201510364878A CN104899702B CN 104899702 B CN104899702 B CN 104899702B CN 201510364878 A CN201510364878 A CN 201510364878A CN 104899702 B CN104899702 B CN 104899702B
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Abstract
The invention discloses a kind of decoration norm for detailed estimates management system and management method based on big data, the system comprises budget cloud platform, standard rating library and quota price libraries；The budget cloud platform is to store the network Cloud Server of budget inventory；The standard rating library is the database of storage standard quota data, including Web service interface；Quota price library is to store the database of quota price data, including Web service interface；The method includes：Step 1 creates or updates standard rating library；Step 2, initialization standard rating library；Step 3, query criteria quota data；Step 4 creates quota price library and updates standard rating pricing information.The present invention plays one for business organization and suitably refers to norm for detailed estimates library, to keep budget inventory more succinct efficient in making.Simultaneously so that the content in standard rating library is more improved and comprehensively, reliable foundation provided to provide standardized budget mode from now on.
Description
Technical field
The present invention relates to big data management, and in particular to a kind of decoration norm for detailed estimates management system and pipe based on big data
Reason method.
Background technology
It before finishing, generally requires the cost to decorations and carries out budget, if can be there are one general norm for detailed estimates
Library is referred to, and budget efficiency and accuracy can be improved.Existing norm for detailed estimates library is all by way of human configuration, still
Field known to everyone is different, and the construction reference of each enterprise is different, while norm for detailed estimates is by region and time
It influences, leads to artificial, material and machinery is in different zones and there is also price variances in the time, therefore be difficult really to organize one
The norm for detailed estimates library of a suitable enterprise's reference.
Invention content
What the present invention passed budgets that cloud platform largely collects that each decoration corporation, Chevron Research Company (CRC) and designer write pre- settles
It is single, and the standardization for having carried out budget inventory is write, disclose a kind of decoration norm for detailed estimates management system based on big data and
Management method.
Technical scheme is as follows：
A kind of decoration norm for detailed estimates management system based on big data, including budget cloud platform, standard rating library and quota
Price library；The budget cloud platform is to store the network Cloud Server of budget inventory；The standard rating library is storage standard
The database of quota data, including Web service interface；Quota price library is the database for storing quota price data, packet
Include Web service interface；It is interconnected by network between the budget cloud platform, standard rating library and quota price library.
The budget cloud platform further includes that budget inventory makes the retrieval of module and standard rating library and uses module；It is described
Budget inventory make module pass budgets cloud platform collect client make budget listings data；The retrieval in the standard rating library
With use module that can retrieve standard rating library and obtain the area of budget inventory, time, pricing information；
Standard rating library further includes standard rating library creation module and standard rating library update module；The standard rating library
Creation module creates standard rating library；Standard rating library update module for new quota carry out Auto-matching, classification, coding with
Improve standard rating library；
Quota price library further includes standard rating price data creation module and standard rating price data update module；Institute
State area corresponding to the quota detail that is used of standard rating price data creation module record, time, pricing information；It is described
For standard rating price data update module in same time range, the quota data of areal calculate corresponding quota
Price updating value.
The management method that system is realized is managed by the above-mentioned decoration norm for detailed estimates based on big data, is included the following steps：
Step 1 creates or updates standard rating library；
Step 2, initialization standard rating library；
Step 3, query criteria quota data；
Step 4 creates quota price library and updates standard rating pricing information.
Its further technical solution is that the step 1 includes the following steps：
Step 11, the budget inventory for obtaining client；
Step 12, analysis budget inventory composition；
Quota data in step 13, extraction client's quota inventory；
Step 14 carries out similarity by the data in the fields such as client's quota title, unit, description and standard rating library
Match, and carry out similarity judgement, if similarity does not reach standard, enters step 15；If similarity reaches standard, into
Enter step 16；
Step 15 creates new standard rating；
Step 16, the corresponding standard rating of update.
Its further technical solution is：Initialization quota store described in the step 2 presses the classification of area and time
The budget inventory quota data of user in the budget cloud platform are collected, and analyze budget inventory composed structure, shape from data
Classify at quota, improves standard rating library.
Its further technical solution is that the step 3 specifically includes following steps：
Step 31 obtains query condition value；
Step 32 is gone in standard rating library to retrieve, and is judged in standard rating according to the querying condition acquired in step 31
With the presence or absence of the data to match with the querying condition in library；If the judgment is Yes, then 33 are entered step, if it is determined that
It is no, then enter step 34；
Step 33 returns to corresponding quota data list；
Step 34 returns to null value.
Its further technical solution is that the step 4 specifically includes following steps：
Quota data in step 41, acquisition standard rating library；
Step 42 obtains quotum of data pricing information；
Step 43, the using area and temporal information for recording this quota；
Step 44, the quota pricing information for creating this quota；
Step 45 calculates average value according to region with the historical price information of period；
Step 46, the corresponding standard rating price of update.
Its further technical solution is that the step 45 uses the computational methods of weighted average.
The method have the benefit that：
1, the present invention incorporates a large amount of quota data, creates standard rating by network, can be for fitting-up
Unit in charge of construction is unified to be referred to, and efficiency and the accuracy of decoration budget are improved.
2, present invention also adds the revision of norm database and renewal processes, are passed through in use by a large amount of quotation on budge
Cross price weighting, update standard rating library so that database is more and more accurate in use, more and more practical.
To sum up, norm for detailed estimates has apparent regional and timeliness, the budget within the scope of different zones or different time
For quota there may be certain otherness, of the invention significance is exactly to play one suitably with reference to pre- for business organization
Quota store is calculated, to keep budget inventory more succinct efficient in making.Meanwhile by the analysis to cloud platform big data, making
The content for obtaining standard rating library is more improved and comprehensively, reliable foundation is provided to provide standardized budget mode from now on.
Description of the drawings
Fig. 1 is the system schematic of the present invention.
Fig. 2 is flow chart of the method for the present invention.
Fig. 3 is the flow chart of step 1.
Fig. 4 is the schematic diagram of step 2.
Fig. 5 is the flow chart of step 3.
Fig. 6 is the flow chart of step 4.
Specific implementation mode
Fig. 1 is the system schematic of the present invention, including budget cloud platform A, standard rating library B and quota price library C.
Budget cloud platform A is the network Cloud Server for storing budget inventory, includes budget inventory on budget cloud platform A
It makes the retrieval of module and standard rating library and uses module, budget inventory makes module and passes budgets cloud platform A collections largely
The budget listings data that client makes.The retrieval in standard rating library and it can directly retrieve all standard rating libraries using module
And obtain relative region, time, pricing information.
Standard rating library B is the database of storage standard quota data, including Web service interface, further includes standard rating
Library creation module and standard rating library update module.Web service interface is the communication interface of client and server-side, standard rating
Library creation module presses semantic matching technique and extracts general character formation standard rating library.Standard rating library update module is periodically directed to new
Detailed Auto-matching, classification, the coding of carrying out of quota is to improve standard rating library.
Quota price library C is to store the database of quota price data, including Web service interface, further includes standard rating
Price data creation module and standard rating price data update module.Web service interface is the communication of client and server-side
Interface.Standard rating price data creation module records the detailed corresponding area of the quota used, time, pricing information.Mark
Certainly for volume price data update module in same time range, the quota data of areal pass through the side of price weighting
Method calculates the price updating value of corresponding quota.
It is interconnected by network between budget cloud platform A, standard rating library B and quota price library C, budget cloud platform A
The data in the B of standard rating library can be analyzed with quota price library C.Budget cloud platform A can be as needed by price
It is uploaded to quota price library C.Standard rating library B can as needed use the data in budget cloud platform A.
Fig. 2 is flow chart of the method for the present invention.Method of the present invention includes the following steps：
Step 1 creates or update standard rating library, by the client budgets inventory of acquisition, the data of contrast standard quota,
Create or update standard rating library.
Step 2, initialization standard rating library carry out standard rating library further perfect.
Step 3, query criteria quota data are examined according to querying condition in the standard rating library described in step 2
Rope.
Step 4, the standard rating data inquired according to step 3 create quota price library and update standard rating valence
Lattice information.
Fig. 3 is the flow chart of step 1.Step 1 includes the following steps：
Step 11, the budget inventory for obtaining client；
Step 12, analysis budget inventory composition；
Quota data in step 13, extraction quota inventory；
Step 14 carries out similarity mode by the data in the fields such as quota title, unit, description and standard rating library,
And similarity judgement is carried out, if similarity does not reach standard, enters step 15；If similarity reaches standard, enter
Step 16；
Step 15 creates new standard rating；
Step 16, the corresponding standard rating of update.
Matching process in step 14, for using dictionary, the matched segmenting method of dictionary to the quota that is obtained in step 13
Data carry out participle parsing, and by existing semantic matches technology, this is carried out with the quota data in standard rating library by norm
It compares, matching is unsuccessful, enters step the new quota data of 15 establishments；Successful match, it enters step 16 updates and corresponds to and determine
The price of volume.During comparison and judgement, latitude and the order of comparison and judgement will be according to quota title, technique, units
It is carried out one by one Deng sequence, and distributes quota title, technique, unit etc. different judgement weights according to actual demand, wherein fixed
The judgement weight of volume name-matches is maximum.
Fig. 4 is the schematic diagram of step 2.Initialization quota store described in step 2 presses the categorised collection institute of area and time
The budget inventory quota data of user in budget cloud platform are stated, and analyze budget inventory composed structure from data, form quota
Classification, improves standard rating library.
Fig. 5 is the flow chart of step 3.Step 3 specifically includes following steps：
Step 31 obtains query condition value；
Step 32 is gone in standard rating library to retrieve, and is judged in standard rating according to the querying condition acquired in step 31
With the presence or absence of the data to match with the querying condition in library；If the judgment is Yes, then 33 are entered step, if it is determined that
It is no, then enter step 34；
Step 33 returns to corresponding quota data list；
Step 34 returns to null value.
Fig. 6 is the flow chart of step 4.Step 4 specifically includes following steps：
Quota data in step 41, acquisition standard rating library；
Step 42 obtains quotum of data pricing information；
Step 43, the using area and temporal information for recording this quota；
Step 44, the quota pricing information for creating this quota；
Step 45 calculates average value according to region with the historical price information of period；
Step 46, the corresponding standard rating price of update.
In step 45, the update method of quota price will use weighted mean method to carry out, i.e.,：This is collected by norm a certain
Region sometime all quotation informations in range, including quantity and monovalent information, according to formula：
Quota price of this area sometime in range is calculated, modified price will be updated to as recent quotation
In standard rating library.
The present invention text involved in specialized word be explained as follows：
Big data：Or flood tide data, refer to needing new tupe could have stronger decision edge, insight and
Magnanimity, high growth rate and the diversified information assets of process optimization ability.
Norm for detailed estimates：It is in labour of the regulation consumption in construction unit basic structure element, material and mechanical quantity
Standard, be calculate construction and installation product price basis.Norm for detailed estimates belongs to Valuation Norm.Norm for detailed estimates is in engineering construction
One important technical-economic index reflects the quantity limit in the flexibe work(labour) and objectivized labour of completing the consumption of unit subdivisional work
System.This limit finally decides the cost and cost of individual works and construction unit.
What has been described above is only a preferred embodiment of the present invention, and present invention is not limited to the above embodiments.It is appreciated that this
The other improvements and change that field technology personnel directly export or associate without departing from the spirit and concept in the present invention
Change, is considered as being included within protection scope of the present invention.
Claims (5)
1. a kind of decoration norm for detailed estimates based on big data manages system, it is characterised in that：Including budget cloud platform (A), standard
Quota store (B) and quota price library (C)；The budget cloud platform (A) is the network Cloud Server for storing budget inventory；It is described
Standard rating library (B) is the database of storage standard quota data, including Web service interface；Quota price library (C) is storage
Deposit the database of quota price data, including Web service interface；The budget cloud platform (A), standard rating library (B) and quota
It is interconnected by network between price library (C)；
The budget cloud platform (A) further includes that budget inventory makes the retrieval of module and standard rating library and uses module；It is described
Budget inventory make module pass budgets cloud platform (A) collect client make budget listings data；The standard rating library
Retrieval and it can retrieve standard rating library (B) using module and obtain the area of budget inventory, time, pricing information；
Standard rating library (B) further includes standard rating library creation module and standard rating library update module；The standard rating library
Creation module creates standard rating library；Standard rating library update module for new quota carry out Auto-matching, classification, coding with
Improve standard rating library；
Quota price library (C) further includes standard rating price data creation module and standard rating price data update module；Institute
State area corresponding to the quota detail that is used of standard rating price data creation module record, time, pricing information；It is described
For standard rating price data update module in same time range, the quota data of areal calculate corresponding quota
Price updating value, the method for calculating corresponding quota price updating value are carried out using weighted mean method, i.e.,：This is collected by norm at certain
One region sometime all quotation informations in range, including quantity and monovalent information, calculate according to weighted average formula
This area's sometime quota price in range.
2. the management method that system is realized is managed by the decoration norm for detailed estimates as described in claim 1 based on big data,
It is characterized in that, includes the following steps：
Step 1 creates or updates standard rating library；
Step 2, initialization standard rating library；
Step 3, query criteria quota data；
Step 4 creates quota price library and updates standard rating pricing information；
The step 4 specifically includes following steps：
Quota data in step 41, acquisition standard rating library；
Step 42 obtains quotum of data pricing information；
Step 43, the using area and temporal information for recording this quota；
Step 44, the quota pricing information for creating this quota；
Step 45 calculates average value according to region with the historical price information of period；
Step 46, the corresponding standard rating price of update；
The step 45 uses the computational methods of weighted average.
3. the management method that the decoration norm for detailed estimates management system based on big data is realized as claimed in claim 2, feature
It is, the step 1 includes the following steps：
Step 11, the budget inventory for obtaining client；
Step 12, analysis budget inventory composition；
Quota data in step 13, extraction client's quota inventory；
Step 14 carries out similarity mode by the data in client's quota title, unit, description field and standard rating library, and
And it carries out similarity judgement and enters step 15 if similarity does not reach standard；If similarity reaches standard, enter step
Rapid 16；
Step 15 creates new standard rating；
Step 16, the corresponding standard rating of update.
4. the management method that the decoration norm for detailed estimates management system based on big data is realized as claimed in claim 2, feature
It is：Initialization quota store described in the step 2 presses user in budget cloud platform described in area and the categorised collection of time
Budget inventory quota data, and from data analyze budget inventory composed structure, formed quota classify, improve standard rating
Library.
5. the management method that the decoration norm for detailed estimates management system based on big data is realized as claimed in claim 2, feature
It is, the step 3 specifically includes following steps：
Step 31 obtains query condition value；
Step 32 is gone in standard rating library to retrieve, and is judged in standard rating library according to the querying condition acquired in step 31
With the presence or absence of the data to match with the querying condition；If the judgment is Yes, then 33 are entered step, if the judgment is No, then
Enter step 34；
Step 33 returns to corresponding quota data list；
Step 34 returns to null value.
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| CN106355526A (en) * | 2016-09-22 | 2017-01-25 | 成都快乐家网络技术有限公司 | Order-sending processing device, system and method |
| CN106934527A (en) * | 2017-02-22 | 2017-07-07 | 广东华联软件科技有限公司 | A kind of enterprise model system system and method |
| CN110046966A (en) * | 2019-04-19 | 2019-07-23 | 深圳格调网络运营有限公司 | A kind of online Decoration Design is shown and online transaction settlement system |
| CN111932291A (en) * | 2020-07-03 | 2020-11-13 | 大冶特殊钢有限公司 | Method and equipment for correcting basic parameters of rated cost by using big data |
| CN113469744B (en) * | 2021-07-05 | 2023-06-16 | 四川明星电力股份有限公司 | Modular budget method and system based on distribution network typical design |
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