CN104899702A - Big data-based decoration budget quota management system and method - Google Patents
Big data-based decoration budget quota management system and method Download PDFInfo
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- CN104899702A CN104899702A CN201510364878.8A CN201510364878A CN104899702A CN 104899702 A CN104899702 A CN 104899702A CN 201510364878 A CN201510364878 A CN 201510364878A CN 104899702 A CN104899702 A CN 104899702A
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Abstract
The invention discloses a big data-based decoration budget quota management system and method. The big data-based decoration budget quota management system comprises a budge cloud platform, a standard quota base and a quota price base. The budge cloud platform is a network cloud server which stores a budget list. The standard quota base is a database which stores quota data, and comprises a Web service interface. The quota prices base is a database which stores quota price data, and comprises a Web service interface. The big data-based decoration budget quota management method comprises a step 1 of establishing or updating the standard quota base; a step 2 of initiating the standard quota base; a step 3 of inquiring the stores quota data; and a step 4 of establishing the quota price base and updating standard quota price information. The invention organizes a proper reference budge quota base for an enterprise, so that the manufacturing the budget list is enabled to be more concise and high-efficiency. Meanwhile, the content of the stand quota base is enabled to be more complete and comprehensive, and a reliable basis is provided with the future standard budgeting method.
Description
Technical field
The present invention relates to large data management, be specifically related to a kind of decoration quota of budget management system based on large data and management method.
Background technology
Before finishing, often need to carry out budget to the cost of decorations, if a general quota of budget storehouse can be had to carry out reference, budget efficiency and accuracy can be improved.Existing quota of budget storehouse is all the mode by human configuration, but the field that everyone is familiar with is different, and the construction reference of each enterprise is different, quota of budget is by region and the impact of time simultaneously, cause artificial, material and machinery also to there is price variance in zones of different with in the time, be therefore difficult to the quota of budget storehouse really organizing the reference of an applicable enterprise.
Summary of the invention
The budget inventory that each decoration corporation, design corporation and designer write collected in a large number by the present invention's cloud platform that passes budgets, and the standardization having carried out budget inventory is write, and discloses a kind of decoration quota of budget management system based on large data and management method.
Technical scheme of the present invention is as follows:
Based on a decoration quota of budget management system for large data, comprise budget cloud platform, standard rating storehouse and quota price storehouse; Described budget cloud platform is the network cloud server storing budget inventory; Described standard rating storehouse is the database of storage standard quota data, comprises Web service interface; Described quota price storehouse is the database storing quota price data, comprises Web service interface; Described budget cloud platform, standard rating storehouse and quota price storehouse between be connected to each other by network.
Described budget cloud platform also comprises budget inventory and makes the retrieval in module and standard rating storehouse and use module; Described budget inventory makes the module cloud platform that passes budgets and collects the budget listings data that client makes; Retrieval and the use module in described standard rating storehouse can retrieve standard rating storehouse and obtain the area of budget inventory, time, pricing information;
Standard rating storehouse also comprises standard rating storehouse creation module and standard rating storehouse update module; Described standard rating storehouse creation module creates standard rating storehouse; Standard rating storehouse update module carries out Auto-matching, classification, coding to improve standard rating storehouse for new quota;
Quota price storehouse also comprises standard rating price data creation module and standard rating price data update module; The area of described standard rating price data creation module record corresponding to the quota detail that uses, time, pricing information; Described standard rating price data update module is in same time range, and the quota data of areal, calculate corresponding quota price updating value.
By the management method that the above-mentioned decoration quota of budget management system based on large data realizes, comprise the following steps:
Step 1, establishment or renewal standard rating storehouse;
Step 2, initialization standard rating storehouse;
Step 3, query criteria quota data;
Step 4, create quota price storehouse upgrade standard rating pricing information.
Its further technical scheme is that described step 1 comprises the following steps:
The budget inventory of step 11, acquisition client;
Step 12, analysis budget inventory composition;
Step 13, the quota data extracted in client's quota inventory;
Step 14, carry out similarity mode by the data in client's quota field such as title, unit, description and standard rating storehouse, and carry out similarity judgement, if similarity does not reach standard, then enter step 15; If similarity reaches standard, then enter step 16;
Step 15, create new standard rating;
Step 16, upgrade corresponding standard rating.
Its further technical scheme is initialization quota store described in described step 2, namely by the budget inventory quota data of user on budget cloud platform described in area and the categorised collection of time, and from data, analyze budget inventory composition structure, form quota classification, improve standard rating storehouse.
Its further technical scheme is that described step 3 specifically comprises the following steps:
Step 31, acquisition query condition value;
Step 32, the querying condition obtained according to step 31 go to retrieve in standard rating storehouse, and judge in standard rating storehouse, whether there are the data matched with described querying condition; If the judgment is Yes, then enter step 33, if the judgment is No, then enter step 34;
Step 33, return the data list of corresponding quota;
Step 34, return null value.
Its further technical scheme is that described step 4 specifically comprises the following steps:
Step 41, the quota data obtained in standard rating storehouse;
Step 42, acquisition quotum of data pricing information;
Step 43, the use region of recording this quota and temporal information;
Step 44, create the quota pricing information of this quota;
Step 45, according to the historical price information calculating mean value of region with the period;
Step 46, upgrade corresponding standard rating price.
Its further technical scheme is that described step 45 uses the computing method of weighted mean value.
Advantageous Effects of the present invention is:
1, the present invention is by network, incorporates a large amount of quota data, creates standard rating, can be used for the unit in charge of construction of fitting-up to unify reference, improve efficiency and the accuracy of decoration budget.
2, present invention also adds revision and the renewal process of norm database, in use by a large amount of quotation on budge through price weighting, upgrade standard rating storehouse, make database in use more and more accurate, more and more practical.
To sum up, quota of budget has significantly regional and timeliness, certain otherness may be there is in the quota of budget within the scope of zones of different or different time, a significance of the present invention is exactly for a suitable reference quota of budget storehouse is played by business organization, thus makes budget inventory more succinct efficient in making.Meanwhile, by the analysis to the large data of cloud platform, the content in standard rating storehouse is made more to improve and comprehensively, provide reliable foundation for providing standardized budget mode from now on.
Accompanying drawing explanation
Fig. 1 is system schematic of the present invention.
Fig. 2 is method flow diagram of the present invention.
Fig. 3 is the process flow diagram of step 1.
Fig. 4 is the schematic diagram of step 2.
Fig. 5 is the process flow diagram of step 3.
Fig. 6 is the process flow diagram of step 4.
Embodiment
Fig. 1 is system schematic of the present invention, comprises budget cloud platform A, standard rating storehouse B and quota price storehouse C.
Budget cloud platform A is the network cloud server storing budget inventory, budget cloud platform A comprises budget inventory make the retrieval in module and standard rating storehouse and use module, budget inventory makes the module cloud platform A that passes budgets and collects the budget listings data that a large amount of client makes.The retrieval in standard rating storehouse directly can retrieve all standard rating storehouses with use module and obtain relevant area, time, pricing information.
Standard rating storehouse B is the database of storage standard quota data, comprises Web service interface, also comprises standard rating storehouse creation module and standard rating storehouse update module.Web service interface is the communication interface of client and service end, and standard rating storehouse creation module is extracted general character by semantic matching technique and formed standard rating storehouse.Standard rating storehouse update module regularly carries out Auto-matching, classification, coding to improve standard rating storehouse for new quota detail.
Quota price storehouse C is the database storing quota price data, comprises Web service interface, also comprises standard rating price data creation module and standard rating price data update module.Web service interface is the communication interface of client and service end.Standard rating price data creation module record is by the detailed corresponding area of the quota that uses, time, pricing information.Standard rating price data update module is in same time range, and the quota data of areal, calculate the price updating value of corresponding quota by the method for price weighting.
Be connected to each other by network between budget cloud platform A, standard rating storehouse B and quota price storehouse C, budget cloud platform A and quota price storehouse C can to the data analysis in the B of standard rating storehouse.Price can be uploaded to quota price storehouse C by budget cloud platform A as required.Standard rating storehouse B can use the data in budget cloud platform A as required.
Fig. 2 is method flow diagram of the present invention.Method of the present invention comprises the following steps:
Step 1, establishment or renewal standard rating storehouse, by the client budgets inventory obtained, the data of contrast standard quota, create or renewal standard rating storehouse.
Step 2, initialization standard rating storehouse, carry out further perfect to standard rating storehouse.
Step 3, query criteria quota data, according to querying condition, retrieve in the standard rating storehouse described in step 2.
Step 4, the standard rating data inquired according to step 3, create quota price storehouse and upgrade standard rating pricing information.
Fig. 3 is the process flow diagram of step 1.Step 1 comprises the following steps:
The budget inventory of step 11, acquisition client;
Step 12, analysis budget inventory composition;
Step 13, the quota data extracted in quota inventory;
Step 14, carry out similarity mode by the data in the fields such as quota title, unit, description and standard rating storehouse, and carry out similarity judgement, if similarity does not reach standard, then enter step 15; If similarity reaches standard, then enter step 16;
Step 15, create new standard rating;
Step 16, upgrade corresponding standard rating.
Matching process in step 14, the segmenting method mated for utilizing dictionary, dictionary carries out participle parsing to the quota data obtained in step 13, by existing semantic matches technology, this quota and the quota data in standard rating storehouse are compared, mate unsuccessful, enter step 15 and create new quota data; What the match is successful, enter the price that step 16 upgrades corresponding quota.In the process contrasted and judge, the latitude of contrast and judgement and order will carry out one by one according to orders such as quota title, technique, units, and distribute different judgement weights to quota title, technique, unit etc. according to actual demand, wherein the judgement weight of quota name-matches is maximum.
Fig. 4 is the schematic diagram of step 2.Initialization quota store described in step 2, namely by the budget inventory quota data of user on budget cloud platform described in area and the categorised collection of time, and analyzes budget inventory composition structure, forms quota classification, improve standard rating storehouse from data.
Fig. 5 is the process flow diagram of step 3.Step 3 specifically comprises the following steps:
Step 31, acquisition query condition value;
Step 32, the querying condition obtained according to step 31 go to retrieve in standard rating storehouse, and judge in standard rating storehouse, whether there are the data matched with described querying condition; If the judgment is Yes, then enter step 33, if the judgment is No, then enter step 34;
Step 33, return the data list of corresponding quota;
Step 34, return null value.
Fig. 6 is the process flow diagram of step 4.Step 4 specifically comprises the following steps:
Step 41, the quota data obtained in standard rating storehouse;
Step 42, acquisition quotum of data pricing information;
Step 43, the use region of recording this quota and temporal information;
Step 44, create the quota pricing information of this quota;
Step 45, according to the historical price information calculating mean value of region with the period;
Step 46, upgrade corresponding standard rating price.
In step 45, employing method of weighted mean is carried out by the update method of quota price, that is: collect all quotation informations of this quota in a certain region sometime scope, comprise quantity and unit price information, according to formula:
Calculate the quota price of this area sometime in scope, amended price will be updated in standard rating storehouse as recent quotation.
The specialized word related in text of the present invention is explained as follows:
Large data: or claim flood tide data, refer to and need new tupe just can have the magnanimity of stronger decision edge, clairvoyance and process optimization ability, high growth rate and diversified information assets.
Quota of budget: be the labour of regulation consumption in unit project basic structure key element, material and the quantitative standard of machinery is the basis calculating construction and installation product price.Quota of budget belongs to Valuation Norm.Quota of budget is that in engineering construction, important technical economical index reflects in the restricted number completing flexibe work(labour) that unit kinds of construction consumes and objectivized labour.This limit finally decides cost and the cost of single construction and unit project.
Above-described is only the preferred embodiment of the present invention, the invention is not restricted to above embodiment.Be appreciated that the oher improvements and changes that those skilled in the art directly derive without departing from the spirit and concept in the present invention or associate, all should think and be included within protection scope of the present invention.
Claims (7)
1. based on a decoration quota of budget management system for large data, it is characterized in that: comprise budget cloud platform (A), standard rating storehouse (B) and quota price storehouse (C); Described budget cloud platform (A) is for storing the network cloud server of budget inventory; Described standard rating storehouse (B) is the database of storage standard quota data, comprises Web service interface; Described quota price storehouse (C) is the database storing quota price data, comprises Web service interface; Described budget cloud platform (A), to be connected to each other by network between standard rating storehouse (B) and quota price storehouse (C);
Described budget cloud platform (A) also comprises budget inventory and makes the retrieval in module and standard rating storehouse and use module; Described budget inventory makes the module cloud platform (A) that passes budgets and collects the budget listings data that client makes; Retrieval and the use module in described standard rating storehouse can retrieve standard rating storehouse (B) and obtain the area of budget inventory, time, pricing information;
Standard rating storehouse (B) also comprises standard rating storehouse creation module and standard rating storehouse update module; Described standard rating storehouse creation module creates standard rating storehouse; Standard rating storehouse update module carries out Auto-matching, classification, coding to improve standard rating storehouse for new quota;
Quota price storehouse (C) also comprises standard rating price data creation module and standard rating price data update module; The area of described standard rating price data creation module record corresponding to the quota detail that uses, time, pricing information; Described standard rating price data update module is in same time range, and the quota data of areal, calculate corresponding quota price updating value.
2., by the management method that the decoration quota of budget management system as claimed in claim 1 based on large data realizes, it is characterized in that, comprise the following steps:
Step 1, establishment or renewal standard rating storehouse;
Step 2, initialization standard rating storehouse;
Step 3, query criteria quota data;
Step 4, create quota price storehouse upgrade standard rating pricing information.
3., as claimed in claim 2 based on the decoration quota of budget management method of large data, it is characterized in that, described step 1 comprises the following steps:
The budget inventory of step 11, acquisition client;
Step 12, analysis budget inventory composition;
Step 13, the quota data extracted in client's quota inventory;
Step 14, carry out similarity mode by the data in client's quota field such as title, unit, description and standard rating storehouse, and carry out similarity judgement, if similarity does not reach standard, then enter step 15; If similarity reaches standard, then enter step 16;
Step 15, create new standard rating;
Step 16, upgrade corresponding standard rating.
4. as claimed in claim 2 based on the decoration quota of budget management method of large data, it is characterized in that: the initialization quota store described in described step 2, namely by the budget inventory quota data of user on budget cloud platform described in area and the categorised collection of time, and from data, analyze budget inventory composition structure, form quota classification, improve standard rating storehouse.
5., as claimed in claim 2 based on the decoration quota of budget management method of large data, it is characterized in that, described step 3 specifically comprises the following steps:
Step 31, acquisition query condition value;
Step 32, the querying condition obtained according to step 31 go to retrieve in standard rating storehouse, and judge in standard rating storehouse, whether there are the data matched with described querying condition; If the judgment is Yes, then enter step 33, if the judgment is No, then enter step 34;
Step 33, return the data list of corresponding quota;
Step 34, return null value.
6., as claimed in claim 2 based on the decoration quota of budget management method of large data, it is characterized in that, described step 4 specifically comprises the following steps:
Step 41, the quota data obtained in standard rating storehouse;
Step 42, acquisition quotum of data pricing information;
Step 43, the use region of recording this quota and temporal information;
Step 44, create the quota pricing information of this quota;
Step 45, according to the historical price information calculating mean value of region with the period;
Step 46, upgrade corresponding standard rating price.
7., as claimed in claim 5 based on the decoration quota of budget management method of large data, it is characterized in that, described step 45 uses the computing method of weighted mean value.
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