CN109918401A - Bill of quantities data processing method, device, storage medium and computer equipment - Google Patents

Bill of quantities data processing method, device, storage medium and computer equipment Download PDF

Info

Publication number
CN109918401A
CN109918401A CN201910074021.0A CN201910074021A CN109918401A CN 109918401 A CN109918401 A CN 109918401A CN 201910074021 A CN201910074021 A CN 201910074021A CN 109918401 A CN109918401 A CN 109918401A
Authority
CN
China
Prior art keywords
price
bill
quantities
data
candidate
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.)
Granted
Application number
CN201910074021.0A
Other languages
Chinese (zh)
Other versions
CN109918401B (en
Inventor
刘石磊
利志跃
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Hai Shi Bao Technology Co Ltd
Original Assignee
Beijing Hai Shi Bao Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Hai Shi Bao Technology Co Ltd filed Critical Beijing Hai Shi Bao Technology Co Ltd
Priority to CN201910074021.0A priority Critical patent/CN109918401B/en
Publication of CN109918401A publication Critical patent/CN109918401A/en
Application granted granted Critical
Publication of CN109918401B publication Critical patent/CN109918401B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of data processing method of bill of quantities, device, storage medium and computer equipments.This method comprises: obtaining user envisions price;Obtain the name feature data of architectural engineering;It searches in the Pricedata of preset building engineering data base and envisions the target structures bill of quantities data and target price data that price matches and matches in the engineering name database of architectural engineering database with the name feature data with the user;Export target structures bill of quantities data and target price data.Data processing method, device, storage medium and the computer equipment of above-mentioned building quantity inventory, pass through title set by user and price, with the anti-ballistic all kinds of building quantity inventories out of computer and match opposite dutiable value, data processing complex before solving, user is without being chosen over and confirming, user experience is improved, horizontal architectural engineering consulting and the fining of architectural engineering decision and scientific are improved.

Description

Bill of quantities data processing method, device, storage medium and computer equipment
Technical field
The present invention relates to information technology field, more particularly to a kind of data processing method of bill of quantities, device, Storage medium and computer equipment.
Background technique
Construction industry is the pillar industries of the national economy, and Industrial Linkage degree is high, according to statistics, 50% or more of whole society's investment New production capacity or use value could be formed by construction industry.And since the overall process of architectural engineering is very complicated, What is also taken now is extensive management, either house decoration, or entire building construction, often all uses selection in every particular Bill of quantities etc. work can just obtain pre- construction price (every square metre of how many member).And if the target construction finally calculated Price can only then reselect calculating beyond anticipation price.But the different size of different materials just has different prices, selection Process is with regard to troubling.And other than Master Cost, it also to include labour cost, machinery cost, measure expense, administration fee and profit Deng the retrieval intricate operation for building price is complicated, is easy to cause the situation for mistakes and omissions occur or calculating inaccuracy, and need consumer A large amount of selections, the judgement of engineering consulting personnel and the practical experience of many years accumulation, to can be only achieved the built in advance of consumer If price, and the inefficiency of above-mentioned processing, it makes troubles in fact and inconvenient.
Summary of the invention
For the lower problem of the efficiency of the data processing of above-mentioned building quantity inventory, the present invention provides a kind of building work Data processing method, device, storage medium and the computer equipment of Cheng Qingdan.
For achieving the above object, the present invention uses following methods:
A kind of data processing method of building quantity inventory, wherein this method comprises:
It obtains user and envisions price;
Obtain the name feature data of architectural engineering;
It searches and envisions price with the user in the Pricedata of preset building engineering data base and match and architectural engineering The target structures bill of quantities data and target to match in the engineering name database of database with the name feature data Price data;
Export target structures bill of quantities data and target price data.
In one embodiment, price is envisioned with the user in the Pricedata of the lookup preset building engineering data base The target structures engineering for matching and matching in the engineering name database of architectural engineering database with the name feature data Measure inventory and target price data step, comprising:
Corresponding time is obtained in the engineering name database of preset building engineering data base according to the name feature data Select bill of quantities data group;
Price data, which is envisioned, according to the user obtains target in the corresponding price data of candidate's bill of quantities data group Price data;
According to the corresponding purpose project amount inventory of target price data acquisition.
In one embodiment, price is envisioned with the user in the Pricedata of the lookup preset building engineering data base The target structures engineering for matching and matching in the engineering name database of architectural engineering database with the name feature data Measure inventory and target price data step, comprising:
Price data is envisioned according to the user, and candidate valence is got in the Pricedata of preset building engineering data base Lattice data group;
Purpose project amount inventory is obtained in the corresponding name data of candidate price data group according to the name feature data;
Corresponding target price data are obtained according to purpose project amount inventory.
In one embodiment, it obtains in the Pricedata of the architectural engineering database and envisions price portion with the user When matching, then obtains in the case where comparing name feature same case with the price of user's anticipation and close on value closest to value and second;It obtains When taking in the Pricedata of the architectural engineering database with user anticipation price mismatch, then existed with the price that user envisions It compares under name feature same case, obtains in the Pricedata of the architectural engineering database and most face with user anticipation price It is worth under close and closest to upper value;Should closest to value or closest to it is lower value be known as the first price value, by this second closest to value or It is known as the second price value closest to upper value.
In one embodiment, the same level bill of quantities of the first price value and the second price value is compared, if they are the same, Then compare next level bill of quantities;It is candidate project amount with the scheme being most lowly worth if there is different bill of quantities groups Inventory and candidate price, according to the highest bill of quantities of priority in bill of quantities group different in the second price value It is incorporated into candidate bill of quantities, forms new candidate bill of quantities and new candidate price;If the new candidate price with The deviation that the user envisions price data is greater than threshold values, then high one of the priority time one from different bill of quantities groups again Bill of quantities is incorporated into new bill of quantities and new price data, and the step is repeated several times, until newest price number According to and the user envision the deviation of price data and be less than threshold values, the newest candidate bill of quantities and newest candidate price are determined For purpose project amount inventory and target price.
In one embodiment, the same level bill of quantities of the first price value and the second price value is compared, if they are the same, Then compare next level bill of quantities;It is candidate engineering by the scheme of the first price value if there is different bill of quantities groups Inventory and candidate price output are measured, while bill of quantities group different from the second price value in the first price value is defeated together Out;The priority valve that bill of quantities group is specified according to the user received, by least one of the determining priority valve of user Bill of quantities is incorporated into candidate bill of quantities, forms new candidate bill of quantities and new candidate price;If this is new The deviation that candidate price and the user envision price data is greater than threshold values, then priority is secondary from different bill of quantities groups again An one high bill of quantities is incorporated into new bill of quantities and new price data, the step is repeated several times, until most The deviation that new price data and the user envision price data is less than threshold values, by the newest candidate bill of quantities and newest time Price is selected to be determined as purpose project amount inventory and target price.
In one embodiment, the same level bill of quantities of the first price value and the second price value is compared, if they are the same, Then compare next level bill of quantities;It is candidate engineering by the scheme of the first price value if there is different bill of quantities groups Inventory and candidate price output are measured, while bill of quantities group different from the second price value in the first price value is defeated together Out;Bill of quantities is adjusted one by one according to preset priority weights sequence;
When candidate price is greater than client and envisions price, the bill of quantities and valence of similar adjustment item in database are sought all over Lattice obtain bill of quantities and price closest to lower value, and the project amount for replacing such adjustment item in candidate bill of quantities is clear It is single;When candidate price is less than client and envisions price, seeks the bill of quantities and price of similar adjustment item in database all over, obtain Closest to the bill of quantities and price of upper value, the bill of quantities of such adjustment item in candidate bill of quantities is replaced.8, root According to method as claimed in claim 4, which is characterized in that calculated according to following equation:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage Than;Calculate X and Y;It is weighed according in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price The prepreerence Y quantity of weight is mixed into the first candidate bill of quantities, by candidate price is calculated, if the candidate price and this The deviation that user envisions price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as target work Journey amount inventory and target price.
A kind of data processing equipment of building quantity inventory, wherein the device includes:
Price obtains module, obtains user and envisions price;
Name acquiring module obtains the name feature data of architectural engineering;
Data search module searches in the Pricedata of preset building engineering data base and envisions price phase with the user Match and the target structures project amount to match in the engineering name database of architectural engineering database with the name feature data is clear Forms data and target price data;
Output module, output target structures bill of quantities data and target price data.
In one embodiment, the device further include: in the Pricedata of the lookup preset building engineering data base with The user envisions price and matches and match in the engineering name database of architectural engineering database with the name feature data Target structures bill of quantities and when target price data,
Title search submodule, according to the name feature data preset building engineering data base engineering name database It is middle to obtain corresponding candidate bill of quantities data group;
Price lookup submodule envisions price data in the corresponding valence of candidate's bill of quantities data group according to the user Lattice data acquisition target price data;
Inventory searches submodule, according to the corresponding purpose project amount inventory of target price data acquisition.
In one embodiment, price is envisioned with the user in the Pricedata of the lookup preset building engineering data base The target structures engineering for matching and matching in the engineering name database of architectural engineering database with the name feature data Measure inventory and target price data step, the device further include:
Price lookup submodule envisions price data in the Pricedata of preset building engineering data base according to the user In get candidate price data group;
Title searches submodule, obtains mesh in the corresponding name data of candidate price data group according to the name feature data Mark bill of quantities;
Inventory searches submodule, obtains corresponding target price data according to purpose project amount inventory.
In one embodiment, which further includes the Pricedata for obtaining the architectural engineering database In with the user envision price portion match when, then with user anticipation price in the case where comparing name feature same case, acquisition Most low value and the second low value;It obtains and envisions price mismatch in the Pricedata of the architectural engineering database with the user When, then the price data of the architectural engineering database is obtained in the case where comparing name feature same case with the price of user's anticipation Price is envisioned closest to lower value and closest to upper value with the user in library;This is most lowly worth or is known as the first valence closest to lower value Lattice value is known as the second price value by the second low value or closest to upper value.
In one embodiment, which further includes, by the same level of the first price value and the second price value Bill of quantities compares, and if they are the same, then compares next level bill of quantities;If having different bill of quantities groups, with first The scheme of price value is candidate bill of quantities and candidate price, according to excellent in bill of quantities group different in the second price value It first weighs a highest bill of quantities and is incorporated into candidate bill of quantities, form new candidate bill of quantities and new candidate Price;If the deviation that the new candidate price and the user envision price data is greater than threshold values, then clear from different project amounts A priority time high bill of quantities is incorporated into new bill of quantities and new price data in single group, is repeated several times The step, until the deviation of newest price data and user anticipation price data is less than threshold values, by the newest candidate engineering Amount inventory and newest candidate price are determined as purpose project amount inventory and target price.
In one embodiment, which further includes, by the same level of the first price value and the second price value Bill of quantities compares, and if they are the same, then compares next level bill of quantities;If having different bill of quantities groups, by first The scheme of price value exports for candidate bill of quantities and candidate price, while will be different from the second price value in the first price value Bill of quantities group export together;It, will be preferential according to the user received to the priority information of different bill of quantities groups It weighs a highest bill of quantities and is incorporated into candidate bill of quantities, form new candidate bill of quantities and new candidate valence Lattice;If the new candidate price and the user envision the deviation of price data greater than threshold values, then from different bill of quantities A priority time high bill of quantities is incorporated into new bill of quantities and new price data in group, and being repeated several times should Step, until the deviation of newest price data and user anticipation price data is less than threshold values, by the newest candidate project amount Inventory and newest candidate price are determined as purpose project amount inventory and target price.
In one embodiment, the same level bill of quantities of the first price value and the second price value is compared, if they are the same, Then compare next level bill of quantities;It is candidate engineering by the scheme of the first price value if there is different bill of quantities groups Inventory and candidate price output are measured, while bill of quantities group different from the second price value in the first price value is defeated together Out;Bill of quantities is adjusted one by one according to preset priority weights sequence;
When candidate price is greater than client and envisions price, the bill of quantities and valence of similar adjustment item in database are sought all over Lattice obtain bill of quantities and price closest to lower value, and the project amount for replacing such adjustment item in candidate bill of quantities is clear It is single;When candidate price is less than client and envisions price, seeks the bill of quantities and price of similar adjustment item in database all over, obtain Closest to the bill of quantities and price of upper value, the bill of quantities of such adjustment item in candidate bill of quantities is replaced.
In one embodiment, which further includes being calculated according to following equation:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage Than;Calculate X and Y;It is weighed according in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price The prepreerence Y quantity of weight is mixed into the first candidate bill of quantities, by candidate price is calculated, if the candidate price and this The deviation that user envisions price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as target work Journey amount inventory and target price.
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor The step of data processing method of any one of above-described embodiment building quantity inventory.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage Computer program, the processor realize the data of any one of above-described embodiment building quantity inventory when executing the program The step of processing method.
Data processing method, device, storage medium and the computer equipment of above-mentioned building quantity inventory, are set by user Fixed title and price with the anti-ballistic all kinds of building quantity inventories out of computer and matches opposite dutiable value, before solving Data processing complex, user improve user experience without being chosen over and confirm, improve architectural engineering consulting level with And architectural engineering decision fining and it is scientific.
Detailed description of the invention
Fig. 1 is the application scenarios of bill of quantities data processing method in one embodiment;
Fig. 2 is the internal structure chart of computer equipment in bill of quantities data processing method in one embodiment;
Fig. 3 is the flow chart of bill of quantities data processing method in one embodiment;
Fig. 4 is the structural block diagram of bill of quantities data processing equipment in one embodiment;
Fig. 5 is the structural block diagram of data search module in bill of quantities data processing equipment in one embodiment.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
Invention thinking of the invention utilizes the title and price of user's input, passes through the data of preset building engineering data base Come the anti-ballistic bill of quantities out and the price to match with technical regulation, reduces building listings data and handle complexity, solution Before data processing complex, meanwhile, user improves user experience, improves building without being chosen over and confirming Engineering consulting is horizontal and architectural engineering decision fining and scientific.
The data processing method of building quantity inventory provided in the embodiment of the present invention can be applied to as shown in Figure 1 Application environment in.With reference to Fig. 1, terminal 110 can be established by network and server 120 and be communicated to connect.Terminal 110 includes but not It is limited to mobile phone, tablet computer, personal digital assistant or desktop computer etc..Server 120 can be with independent server either The server cluster of multiple physical server compositions.Terminal 110 can receive the related data of building quantity inventory and price, And associated user's input data is sent to server 120 by communication connection.It can be stored in server 120 and building quantity The data processing method of inventory associated database, such as architectural engineering database etc..Server 120 can also be sent out from terminal 110 Price, data are obtained in the related data sent, according to matched architectural engineering in the price, data search architectural engineering database Inventory.
As shown in Fig. 2, in one embodiment, providing a kind of computer equipment, which can be matched It is set to server 120.Wherein, the computer equipment include by system bus connect processor, non-volatile memory medium, Built-in storage and network interface.Wherein, the processor of the server supports entire terminal for providing calculating and control ability Operation.The non-volatile memory medium of the server is stored with operating system and computer executable instructions, which can hold Row instruction can be performed by processor, at a kind of data of the building quantity inventory provided for realizing following embodiment Reason method.The built-in storage provides cache for the operating system in non-volatile memory medium, computer executable instructions Running environment.The network interface of the server is used to carry out network communication with terminal 110, such as receives the use that terminal 110 is sent In anticipation data.
It will be understood by those skilled in the art that structure shown in Figure 2, only part relevant to application scheme is tied The block diagram of structure, does not constitute the restriction for the server being applied thereon to application scheme, and specific server may include Than more or fewer components as shown in the figure, certain components are perhaps combined or with different component layouts.
In one embodiment, as shown in figure 3, providing a kind of data processing method of building quantity inventory, the party Method is applied to come in server shown in FIG. 1 to obtain the name of architectural engineering for example, including obtaining user anticipation price S301 Claim characteristic S302, search the architectural engineering database S303 that user envisions price, name feature data match, exports mesh Mark building quantity listings data and target price data S304.
It obtains user and envisions price S301.User anticipation price is that a fixed numbers price or one have the model of bound It encloses.Fixed numbers are 700 yuan every square metre.And have the range of bound, then it is every square metre of 700-800 member.It is in different Unit of uniting is different, then data have difference, such as member or ten thousand yuan, then user inputs corresponding unit data according to unit.
And in the channel of acquisition, it can be the numerical value that user directly inputs, be also possible to non-structural from one section of user's input Change crawl etc. method in text.As long as the anticipation price of user's input is either obtained from mobile phone, computer, or is utilized Keyboard input, voice input etc. mode all can be regarded as the mode of acquisition.
Obtain the name feature data S302 of architectural engineering.
Name feature data herein are one group of text, such as construction unit classification, partitioned project classification etc., Ke Yiwei The classifications such as Campus buildingss, hospital architecture.Or the classifications such as " Mediterranean style ", " plainly-packed class ", " house industry situation ".And The channel of acquisition can be the numerical value that user directly inputs, and be also possible to grab from user's one section of unstructured text of input Etc. method.As long as the name feature data of user's input are either obtained from mobile phone, computer, or inputted using keyboard, Voice input etc. mode all can be regarded as the mode of acquisition.
Search the architectural engineering database S303 that user envisions price, name feature data match.The step specifically: It searches in the Pricedata of preset building engineering data base and to envision price with the user and match and architectural engineering database The target structures bill of quantities data and target price data to match in engineering name database with the name feature data.
Price S301 is envisioned according to acquisition user, is obtained in the name feature data S302 step of architectural engineering it is found that should User envisions the user that price and the name feature data are obtained from outside and inputs information.
The target structures bill of quantities data and target price data are final output information.
Architectural engineering database be it is preset, including engineering name database, Pricedata etc..Engineering name, Price is to correspond to each other with bill of quantities.It is had in project amount in multiple levels, such as an embodiment, which is five A, then five level titles, the title of inventory can be calculated as engineering name database part.Title according to user's input is special Sign data are searched in name database.
And corresponding Pricedata is multiple single prices composition, such as 700,800,900 etc..Then user inputs User envisions price if it is single price, if there is the price data in database, so that it may on one-to-one correspondence.
Obtain in the Pricedata of the architectural engineering database with the user envision price portion match when, then with user The price of anticipation obtains in the case where comparing name feature same case and closes on value closest to value and second.If user inputs 740- 900, then there is part matching, then searched according to part matching, enters step and search user anticipation price, name feature number According to the architectural engineering database S303 to match.In one embodiment, the Pricedata of the architectural engineering database is obtained In with the user envision price portion match when, then with user anticipation price in the case where comparing name feature same case, acquisition Value is closed on closest to value and second.Specifically, in price lookup, according in range, acquisition is closed on closest to value with second Value, such as user input the range of 600-900 member, obtain in system close on value closest to value and second in the range, not In same embodiment, highest is closed on or minimum close on is ok.For example closed on minimum, then closing on value is 700 yuan, The nearest upper value for closing on 700 yuan is 800 yuan, then chooses and close on 800 yuan of value with second closest to 700 yuan of value.
It is when obtaining in the Pricedata of the architectural engineering database with user anticipation price mismatch, then pre- with user The price thought obtains pre- with the user in the Pricedata of the architectural engineering database in the case where comparing name feature same case Think price closest to lower value and closest to upper value.Specifically, if user envision price in architectural engineering database if The not price, for example user's input is 699 yuan, then finds 699 yuan closest to lower value and closest to upper value, such as closest to Lower value is 650, closest to upper value 700.
It is above said closest to, can regardless of highest or minimum, can with absolute value come judged whether closest to etc. Deng.
It should be known as the first price value closest to value or closest to lower value, this second was claimed closest to value or closest to upper value For the second price value.
In data search, three kinds of modes can be divided into, one is look into price and title simultaneously.First search price second, Lookup names again;The third first lookup names, then search price.Because only that searching the user envisions price and the name feature When data all match, could calculate lookup terminates, and only finds target structures bill of quantities data and target prices at this point, just calculating Lattice data.
In one embodiment, first lookup names, then look for price.Specifically, the lookup preset building engineering data base Pricedata in the user envision price match and in the engineering name database of architectural engineering database with the name The target structures bill of quantities and target price data step for claiming characteristic to match, comprising: according to the name feature number According to the candidate bill of quantities data group of acquisition in the engineering name database of preset building engineering data base;It is pre- according to the user Think that price data obtains target price data in the corresponding price data of candidate's bill of quantities data group;According to target price The corresponding purpose project amount inventory of data acquisition.
In one embodiment, price is first searched, then looks for title.Specifically, the lookup preset building engineering data base Pricedata in the user envision price match and in the engineering name database of architectural engineering database with the name The target structures bill of quantities and target price data step for claiming characteristic to match, comprising: valence is envisioned according to the user Lattice data get candidate price data group in the Pricedata of preset building engineering data base;According to the name feature number Purpose project amount inventory is obtained according in the corresponding name data of candidate price data group;It is obtained and is corresponded to according to purpose project amount inventory Target price data.
As described above, should closest to value or closest to it is lower value be known as the first price value, by this second closest to value or most It closes on upper value and is known as the second price value.For the first price value and the second price value meeting, there are many treating methods.
In one embodiment, the same level bill of quantities of the first price value and the second price value is compared, if they are the same, Then compare next level bill of quantities;It is candidate engineering with the scheme of the first price value if there is different bill of quantities groups Inventory and candidate price are measured, it is clear according to the highest project amount of priority in bill of quantities group different in the second price value It is singly incorporated into candidate bill of quantities, forms new candidate bill of quantities and new candidate price;If the new candidate price And the deviation that the user envisions price data is greater than threshold values, then the priority time one high one from different bill of quantities groups again A bill of quantities is incorporated into new bill of quantities and new price data, the step is repeated several times, until newest price The deviation that data and the user envision price data is less than threshold values, and the newest candidate bill of quantities and newest candidate price is true It is set to purpose project amount inventory and target price.
Specifically, such as above example, if user envisions price in architectural engineering database if the not no valence Lattice, for example user's input is 699 yuan, then find 699 yuan is closest to lower value and closest to upper value, such as closest to lower value 650 yuan, be 700 yuan closest to upper value.Then 650 yuan are the first price value, and 700 yuan are the second price value.It is just candidate with 650 yuan Price, it is corresponding for candidate bill of quantities.It is clear that 700 yuan of corresponding bill of quantities are compared into 650 yuan of corresponding project amounts It is single.It is had in project amount in multiple levels, such as an embodiment as described above, which is five, and each level is to patrol Volume relationship more upper layer more is summarized, and more lower layer is more specific.Bill of quantities is compared in same level, if all identical, under entering One level compares, that is to say, that because price is different, always there is the bill of quantities of a level different, such as layer 5, It is exactly most specifically one layer of bill of quantities group difference.Different bill of quantities groups is found, is found according to level of priority excellent It first weighs a highest bill of quantities and is incorporated into candidate bill of quantities, form new candidate bill of quantities and new candidate Price, perhaps candidate price is 666 yuan at this time.It and with 699 yuan of difference is 33 yuan according to 666 yuan.If setting threshold values as 40 Member then belongs in threshold range, so that it may export 666 yuan of prices and corresponding project amount is clear at this point, 33 yuan less than 50 yuan It is single.If threshold values is 30 yuan, it is greater than 30 yuan for 33 yuan at this time, then continues from different bill of quantities groups, according to level of priority Find a priority time high bill of quantities and be incorporated into candidate bill of quantities, formed new candidate bill of quantities and New candidate price.That is, be that the bill of quantities for looking for priority second high is incorporated into candidate bill of quantities at this time, this When corresponding price be 680 yuan, difference is 19 yuan, is less than 30 yuan of threshold values, i.e. exportable at this time.If being still unsatisfactory for threshold values, The bill of quantities for then continuing a time high priority, repeats the step, until meeting threshold values.Above is only to illustrate, and threshold values can Think a specific value, such as above said 40 yuan, 30 yuan, can be ratio one by one, such as 3%, 5% etc..
In upper one embodiment, all priority and threshold values can be good for systemic presupposition, that is, can completely certainly Dynamic output target structures bill of quantities data and target price data.And it can also be defeated by the first price value and the second price value Out, it allows user to select, is compared and is incorporated to as priority with the selection of user.
The new embodiment that then user participates in is, by the same level bill of quantities ratio of the first price value and the second price value It is right, if they are the same, then compare next level bill of quantities;If having different bill of quantities groups, by the scheme of the first price value For candidate bill of quantities and the output of candidate price, while by bill of quantities different from the second price value in the first price value Group exports together;According to the user received to the priority information of different bill of quantities groups, by priority highest one Bill of quantities is incorporated into candidate bill of quantities, forms new candidate bill of quantities and new candidate price;If this is new The deviation that candidate price and the user envision price data is greater than threshold values, then priority is secondary from different bill of quantities groups again An one high bill of quantities is incorporated into new bill of quantities and new price data, the step is repeated several times, until most The deviation that new price data and the user envision price data is less than threshold values, by the newest candidate bill of quantities and newest time Price is selected to be determined as purpose project amount inventory and target price.
In above embodiments, candidate bill of quantities and candidate price etc. can intermediate calculation amount at last, be not It is final as a result, calculated by deviation and threshold values, if finally meeting threshold values, by the newest candidate bill of quantities and Newest candidate's price is determined as purpose project amount inventory and target price, is then exporting.
For the first price value and the second price value meeting, there are many treating methods, for example use following method for another implementation Example.It is calculated according to following equation:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage Than;Calculate X and Y;It is weighed according in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price The prepreerence Y quantity of weight is mixed into the first candidate bill of quantities, by candidate price is calculated, if the candidate price and this The deviation that user envisions price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as target work Journey amount inventory and target price.
Export target structures bill of quantities data and target price data S304.By the target structures engineering of above-mentioned lookup It measures listings data and target price data exports, can be and export to data processing terminals such as other systems and module, it can also Being output in the display devices such as display.
As shown in Figure 4 and Figure 5, it is structural block diagram that Fig. 4 is bill of quantities data processing equipment in one embodiment; Fig. 5 is the structural block diagram of data search module in bill of quantities data processing equipment in one embodiment.
A kind of data processing equipment 600 of building quantity inventory, described device 600 include: price obtain module 602, Name acquiring module 604, data search module 606, output module 608.The data search module 606 includes that title searches submodule Block 6061, price title search submodule 6062 and inventory searches submodule 6063.
The price obtains module 602, obtains user and envisions price.
User anticipation price is that a fixed numbers price or one have the range of bound.Fixed numbers are every square metre 700 yuan.And have the range of bound, then it is every square metre of 700-800 member.Different in different system units, then data have Difference, such as member or ten thousand yuan, then user inputs corresponding unit data according to unit.
And in the channel of acquisition, it can be the numerical value that user directly inputs, be also possible to non-structural from one section of user's input Change crawl etc. method in text.As long as the anticipation price of user's input is either obtained from mobile phone, computer, or is utilized Keyboard input, voice input etc. mode all can be regarded as the mode of acquisition.
Name acquiring module 604 obtains the name feature data of architectural engineering.
Name feature data herein are one group of text, such as construction unit classification, partitioned project classification etc., Ke Yiwei The classifications such as Campus buildingss, hospital architecture.Or the classifications such as " Mediterranean style ", " plainly-packed class ", " house industry situation ".And The channel of acquisition can be the numerical value that user directly inputs, and be also possible to grab from user's one section of unstructured text of input Etc. method.As long as the name feature data of user's input are either obtained from mobile phone, computer, or inputted using keyboard, Voice input etc. mode all can be regarded as the mode of acquisition.
Data search module 606, including title searches submodule 6061, price title searches submodule 6062 and inventory is looked into Look for submodule 6063
Data search module 606 searches in the Pricedata of preset building engineering data base and envisions price with the user The target structures engineering for matching and matching in the engineering name database of architectural engineering database with the name feature data Measure listings data and target price data.
The user envisions the user that price and the name feature data are obtained from outside and inputs information.
The target structures bill of quantities data and target price data are final output information.
Architectural engineering database be it is preset, including engineering name database, Pricedata etc..Engineering name, Price is to correspond to each other with bill of quantities.It is had in project amount in multiple levels, such as an embodiment, which is five A, then five level titles, the title of inventory can be calculated as engineering name database part.
And corresponding Pricedata forms for a single price, such as 700,800,900 etc..Then user inputs User envisions price if it is single price, if there is the price data in database, so that it may on one-to-one correspondence.
Obtain in the Pricedata of the architectural engineering database with the user envision price portion match when, then with user The price of anticipation obtains in the case where comparing name feature same case and closes on value closest to value and second.If user inputs 740- 900, then there is part matching, then searched according to part matching, enters step and search user anticipation price, name feature number According to the architectural engineering database S303 to match.In one embodiment, the Pricedata of the architectural engineering database is obtained In with the user envision price portion match when, then with user anticipation price in the case where comparing name feature same case, acquisition Value is closed on closest to value and second.Specifically, in price lookup, according in range, acquisition is closed on closest to value with second Value, such as user input the range of 600-900 member, obtain in system close on value closest to value and second in the range, not In same embodiment, highest is closed on or minimum close on is ok.For example closed on minimum, then closing on value is 700 yuan, The nearest upper value for closing on 700 yuan is 800 yuan, then chooses and close on 800 yuan of value with second closest to 700 yuan of value.
It is when obtaining in the Pricedata of the architectural engineering database with user anticipation price mismatch, then pre- with user The price thought obtains pre- with the user in the Pricedata of the architectural engineering database in the case where comparing name feature same case Think price closest to lower value and closest to upper value.Specifically, if user envision price in architectural engineering database if The not price, for example user's input is 699 yuan, then finds 699 yuan closest to lower value and closest to upper value, such as closest to Lower value is 650, closest to upper value 700.
It is above said closest to, can regardless of highest or minimum, can with absolute value come judged whether closest to etc. Deng.
It should be known as the first price value closest to value or closest to lower value, this second was claimed closest to value or closest to upper value For the second price value.
In data search, three kinds of modes can be divided into, one is look into price and title simultaneously.First search price second, Lookup names again;The third first lookup names, then search price.Because only that searching the user envisions price and the name feature When data all match, could calculate lookup terminates, and only finds target structures bill of quantities data and target prices at this point, just calculating Lattice data.
In one embodiment, first lookup names, then search price.The price number of the lookup preset building engineering data base According in library with the user envision price match and in the engineering name database of architectural engineering database with the name feature number When according to the target structures bill of quantities and target price data to match, the device further include: title searches submodule, according to The name feature data obtain candidate bill of quantities data group in the engineering name database of preset building engineering data base; Price lookup submodule is envisioned price data according to the user and is obtained in the corresponding price data of candidate's bill of quantities data group Take target price data;Inventory searches submodule, according to the corresponding purpose project amount inventory of target price data acquisition.
In one embodiment, price, then lookup names are first searched.The price number of the lookup preset building engineering data base According in library with the user envision price match and in the engineering name database of architectural engineering database with the name feature number According to the target structures bill of quantities and target price data step to match, the device further include: price lookup submodule, root Price data is envisioned according to the user, and candidate price data group is got in the Pricedata of preset building engineering data base;Name Claim to search submodule, it is clear in the corresponding name data acquisition purpose project amount of candidate price data group according to the name feature data It is single;Inventory searches submodule, obtains corresponding target price data according to purpose project amount inventory.
When being mismatched in the Pricedata for obtaining the architectural engineering database with user anticipation price portion, the number It further include price then being envisioned in the case where comparing name feature same case with user, acquisition is closest to upper value and most according to searching module Low value;Then calculated according to following equation:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage Than;Calculate X and Y;It is weighed according in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price The prepreerence Y quantity of weight is mixed into the first candidate bill of quantities, by candidate price is calculated, if the candidate price and this The deviation that user envisions price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as target work Journey amount inventory and target price.
Output module 608, output target structures bill of quantities data and target price data.By the target of above-mentioned lookup Building quantity listings data and target price data export, and can be output to the data processings such as other system and module end End, is also possible to bill of quantities being sent to terminal and is shown.
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor The step of data processing method of any one of above-described embodiment building quantity inventory.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage Computer program, the processor realize the data of any one of above-described embodiment building quantity inventory when executing the program The step of processing method.
Data processing method, device, storage medium and the computer equipment of above-mentioned building quantity inventory, are set by user Fixed title and price with the anti-ballistic all kinds of building quantity inventories out of computer and matches opposite dutiable value, before solving Data processing complex, user improve user experience without being chosen over and confirm, improve architectural engineering consulting level with And architectural engineering decision fining and it is scientific.
Modules in the data processing equipment of above-mentioned building quantity inventory can be fully or partially through software, hardware And combinations thereof realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the memory of terminal, can also be with soft Part form is stored in the memory of terminal, executes the corresponding operation of the above modules in order to which processor calls.The processing Device can be central processing unit (CPU), microprocessor, single-chip microcontroller etc..
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, the journey It is performed the steps of when sequence is executed by processor and obtains user's anticipation price;Obtain the name feature data of architectural engineering;It searches Envision price with the user in the Pricedata of preset building engineering data base to match and the engineering of architectural engineering database The target structures bill of quantities data and target price data to match in name database with the name feature data;Output Target structures bill of quantities data and target price data.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the program can be stored in a non-volatile computer and can be read In storage medium, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage is situated between Matter can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) etc..
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of such technical characteristic is not deposited In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, such to belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (18)

1. a kind of data processing method of building quantity inventory, which is characterized in that this method comprises:
It obtains user and envisions price;
Obtain the name feature data of architectural engineering;
It searches and envisions price with the user in the Pricedata of preset building engineering data base and match and architectural engineering data The target structures bill of quantities data and target price to match in the engineering name database in library with the name feature data Data;
Export target structures bill of quantities data and target price data.
2. the method according to claim 1, wherein the Pricedata of the lookup preset building engineering data base In with the user envision price match and in the engineering name database of architectural engineering database with the name feature data phase Matched target structures bill of quantities and target price data step, comprising:
Corresponding candidate work is obtained in the engineering name database of preset building engineering data base according to the name feature data Journey amount listings data group;
Price data, which is envisioned, according to the user obtains target price in the corresponding price data of candidate's bill of quantities data group Data;
According to the corresponding purpose project amount inventory of target price data acquisition.
3. the method according to claim 1, wherein the Pricedata of the lookup preset building engineering data base In with the user envision price match and in the engineering name database of architectural engineering database with the name feature data phase Matched target structures bill of quantities and target price data step, comprising:
Price data is envisioned according to the user, and candidate price number is got in the Pricedata of preset building engineering data base According to group;
Purpose project amount inventory is obtained in the corresponding name data of candidate price data group according to the name feature data;
Corresponding target price data are obtained according to purpose project amount inventory.
4. method according to claim 1 to 3, which is characterized in that obtain the price number of the architectural engineering database When according to being matched in library with user anticipation price portion, then with the price of user's anticipation in the case where comparing name feature same case, It obtains and closes on value closest to value and second;It obtains in the Pricedata of the architectural engineering database and envisions price not with the user When matching, then the price of the architectural engineering database is obtained in the case where comparing name feature same case with the price of user's anticipation Price is envisioned closest to lower value and closest to upper value with the user in database;It should be known as the closest to value or closest to lower value This second is known as the second price value closest to value or closest to upper value by one price value.
5. according to the method described in claim 4, it is characterized in that, by the same level engineering of the first price value and the second price value It measures inventory to compare, if they are the same, then compares next level bill of quantities;If there is different bill of quantities groups, with most low value Scheme be candidate bill of quantities and candidate price, most according to priority in bill of quantities group different in the second price value A high bill of quantities is incorporated into candidate bill of quantities, forms new candidate bill of quantities and new candidate price; If the deviation that the new candidate price and the user envision price data is greater than threshold values, then from different bill of quantities groups A priority time high bill of quantities is incorporated into new bill of quantities and new price data, and the step is repeated several times Suddenly, until the deviation that newest price data and the user envision price data is less than threshold values, the newest candidate project amount is clear Single and newest candidate price is determined as purpose project amount inventory and target price.
6. according to the method described in claim 4, it is characterized in that, by the same level engineering of the first price value and the second price value It measures inventory to compare, if they are the same, then compares next level bill of quantities;If having different bill of quantities groups, by the first price The scheme of value is candidate bill of quantities and candidate price output, while by work different from the second price value in the first price value Journey amount inventory group exports together;The priority valve that bill of quantities group is specified according to the user received determines user excellent At least one bill of quantities of first weight is incorporated into candidate bill of quantities, forms new candidate bill of quantities and new time Select price;If the new candidate price and the user envision the deviation of price data greater than threshold values, then from different project amounts A priority time high bill of quantities is incorporated into new bill of quantities and new price data in inventory group, repeatedly weight Multiple step, until the deviation of newest price data and user anticipation price data is less than threshold values, by the newest candidate work Journey amount inventory and newest candidate price are determined as purpose project amount inventory and target price.
7. according to the method described in claim 4, it is characterized in that, by the same level engineering of the first price value and the second price value It measures inventory to compare, if they are the same, then compares next level bill of quantities;If having different bill of quantities groups, by the first price The scheme of value is candidate bill of quantities and candidate price output, while by work different from the second price value in the first price value Journey amount inventory group exports together;Bill of quantities is adjusted one by one according to preset priority weights sequence;
When candidate price is greater than client and envisions price, seeks the bill of quantities and price of similar adjustment item in database all over, obtain The bill of quantities and price closest to lower value are taken, the bill of quantities of such adjustment item in candidate bill of quantities is replaced;? When candidate price is less than client's anticipation price, the bill of quantities and price of similar adjustment item in database are sought all over, acquisition is most faced The bill of quantities and price of nearly upper value replace the bill of quantities of such adjustment item in candidate bill of quantities.
8. according to the method described in claim 4, it is characterized in that, being calculated according to following equation:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage;Meter Calculate X and Y;Most according to weight in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price Preferential Y quantity is mixed into the first candidate bill of quantities, by candidate price is calculated, if candidate's price and the user The deviation for envisioning price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as purpose project amount Inventory and target price.
9. a kind of data processing equipment of building quantity inventory, which is characterized in that the device includes:
Price obtains module, obtains user and envisions price;
Name acquiring module obtains the name feature data of architectural engineering;
Data search module, search preset building engineering data base Pricedata in the user envision price match and The target structures bill of quantities number to match in the engineering name database of architectural engineering database with the name feature data According to target price data;
Output module, output target structures bill of quantities data and target price data.
10. device according to claim 9, which is characterized in that the device further include: the lookup preset building project data In the Pricedata in library with the user envision price match and in the engineering name database of architectural engineering database with should When target structures bill of quantities and target price data that name feature data match;
Title searches submodule, is obtained in the engineering name database of preset building engineering data base according to the name feature data Take corresponding candidate bill of quantities data group;
Price lookup submodule envisions price data in the corresponding price number of candidate's bill of quantities data group according to the user According to acquisition target price data;
Inventory searches submodule, according to the corresponding purpose project amount inventory of target price data acquisition.
11. device according to claim 9, which is characterized in that the price data of the lookup preset building engineering data base In library with the user envision price match and in the engineering name database of architectural engineering database with the name feature data The target structures bill of quantities and target price data step to match, the device further include:
Price lookup submodule is envisioned price data according to the user and is obtained in the Pricedata of preset building engineering data base Get candidate price data group;
Title searches submodule, obtains target work in the corresponding name data of candidate price data group according to the name feature data Journey amount inventory;
Inventory searches submodule, obtains corresponding target price data according to purpose project amount inventory.
12. according to the device any in claim 9-11, which is characterized in that the data search module further includes obtaining When being matched in the Pricedata of the architectural engineering database with user anticipation price portion, then existed with the price that user envisions It compares under name feature same case, obtains most low value and the second low value;Obtain the price number of the architectural engineering database When according to envisioning price mismatch in library with the user, then obtained with the price of user's anticipation in the case where comparing name feature same case It takes in the Pricedata of the architectural engineering database and envisions price closest to lower value and closest to upper value with the user;Most by this Low value is known as the first price value closest to lower value, is known as the second price value by the second low value or closest to upper value.
13. device according to claim 12, which is characterized in that the data search module further includes, by the first price value It is compared with the same level bill of quantities of the second price value, if they are the same, then compares next level bill of quantities;If there is different works Journey amount inventory group is then candidate bill of quantities and candidate price with the scheme of the first price value, according in the second price value not The highest bill of quantities of priority is incorporated into candidate bill of quantities in same bill of quantities group, forms new candidate Bill of quantities and new candidate price;If the deviation that the new candidate price and the user envision price data is greater than threshold values, Then again from different bill of quantities groups a priority time high bill of quantities be incorporated into new bill of quantities and The step is repeated several times in new price data, until the deviation of newest price data and user anticipation price data is less than The newest candidate bill of quantities and newest candidate price are determined as purpose project amount inventory and target price by threshold values.
14. device according to claim 12, which is characterized in that the data search module further includes, by the first price value It is compared with the same level bill of quantities of the second price value, if they are the same, then compares next level bill of quantities;If there is different works The scheme of first price value is then candidate bill of quantities and candidate price output by journey amount inventory group, while by the first price The bill of quantities group different from the second price value exports together in value;According to the user received to different bill of quantities groups Priority information, the highest bill of quantities of priority is incorporated into candidate bill of quantities, forms new candidate work Journey amount inventory and new candidate price;If the deviation that the new candidate price and the user envision price data is greater than threshold values, A priority time high bill of quantities is incorporated into new bill of quantities and new from different bill of quantities groups again Price data, the step is repeated several times, until the deviation that newest price data and the user envision price data is less than valve The newest candidate bill of quantities and newest candidate price are determined as purpose project amount inventory and target price by value.
15. according to the method for claim 12, which is characterized in that by the same level work of the first price value and the second price value Journey amount inventory compares, and if they are the same, then compares next level bill of quantities;If having different bill of quantities groups, by the first valence The scheme of lattice value exports for candidate bill of quantities and candidate price, while will be different from the second price value in the first price value Bill of quantities group exports together;Bill of quantities is adjusted one by one according to preset priority weights sequence;
When candidate price is greater than client and envisions price, seeks the bill of quantities and price of similar adjustment item in database all over, obtain The bill of quantities and price closest to lower value are taken, the bill of quantities of such adjustment item in candidate bill of quantities is replaced;? When candidate price is less than client's anticipation price, the bill of quantities and price of similar adjustment item in database are sought all over, acquisition is most faced The bill of quantities and price of nearly upper value replace the bill of quantities of such adjustment item in candidate bill of quantities.
16. device according to claim 12, which is characterized in that the data search module further includes, according to following equation Formula calculates:
A=B*X+C*Y
X+Y=1;A is that matching user envisions price, and B is the first price value, and C is the second price value, and X, Y are respectively to account for percentage;Meter Calculate X and Y;Most according to weight in the bill of quantities of the X quantity of weight override ranking in the first price value and the second price Preferential Y quantity is mixed into the first candidate bill of quantities, by candidate price is calculated, if candidate's price and the user The deviation for envisioning price data is less than threshold values, then candidate's bill of quantities and the first candidate price is determined as purpose project amount Inventory and target price.
17. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The step of data processing method of building quantity inventory described in any one of claim 1 to 8 is realized when execution.
18. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, which is characterized in that the processor is realized described in any one of claim 1 to 8 when executing the program The step of data processing method of building quantity inventory.
CN201910074021.0A 2019-01-25 2019-01-25 Building engineering list data processing method and device, storage medium and computer equipment Active CN109918401B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910074021.0A CN109918401B (en) 2019-01-25 2019-01-25 Building engineering list data processing method and device, storage medium and computer equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910074021.0A CN109918401B (en) 2019-01-25 2019-01-25 Building engineering list data processing method and device, storage medium and computer equipment

Publications (2)

Publication Number Publication Date
CN109918401A true CN109918401A (en) 2019-06-21
CN109918401B CN109918401B (en) 2021-10-19

Family

ID=66960853

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910074021.0A Active CN109918401B (en) 2019-01-25 2019-01-25 Building engineering list data processing method and device, storage medium and computer equipment

Country Status (1)

Country Link
CN (1) CN109918401B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111553558A (en) * 2020-03-30 2020-08-18 宁波市城展建设工程有限公司 Building cost budgeting method, device and storage medium thereof
CN112116495A (en) * 2020-09-01 2020-12-22 上海康诚建设工程咨询有限公司 Method and system for visualizing engineering quantity list, terminal equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069542A (en) * 2015-06-25 2015-11-18 中铁四局集团有限公司 Responsibility cost budgeting method and system
CN105335905A (en) * 2015-11-24 2016-02-17 广州拓欧信息技术有限公司 Building engineering computation and evaluation system and method
US20170243294A1 (en) * 2016-02-18 2017-08-24 Charles J. Shure Rubix System
CN107563828A (en) * 2017-07-11 2018-01-09 北京海数宝科技有限公司 Full statement of expense generation method, device, storage medium and computer equipment
CN107705146A (en) * 2017-09-06 2018-02-16 北京海数宝科技有限公司 Data processing method, device, storage medium and the computer equipment of subdivisional work
CN107871212A (en) * 2017-11-24 2018-04-03 国网内蒙古东部电力有限公司 A kind of Analysis of Engineering Construction Cost method based on bill of quantities data and data model analysis technology
CN108416701A (en) * 2018-03-06 2018-08-17 湖南建工集团有限公司 A kind of processing method of the Engineering Project Construction real data based on BIM
CN109213785A (en) * 2018-09-12 2019-01-15 北京海数宝科技有限公司 Bill compilation method, apparatus, computer equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069542A (en) * 2015-06-25 2015-11-18 中铁四局集团有限公司 Responsibility cost budgeting method and system
CN105335905A (en) * 2015-11-24 2016-02-17 广州拓欧信息技术有限公司 Building engineering computation and evaluation system and method
US20170243294A1 (en) * 2016-02-18 2017-08-24 Charles J. Shure Rubix System
CN107563828A (en) * 2017-07-11 2018-01-09 北京海数宝科技有限公司 Full statement of expense generation method, device, storage medium and computer equipment
CN107705146A (en) * 2017-09-06 2018-02-16 北京海数宝科技有限公司 Data processing method, device, storage medium and the computer equipment of subdivisional work
CN107871212A (en) * 2017-11-24 2018-04-03 国网内蒙古东部电力有限公司 A kind of Analysis of Engineering Construction Cost method based on bill of quantities data and data model analysis technology
CN108416701A (en) * 2018-03-06 2018-08-17 湖南建工集团有限公司 A kind of processing method of the Engineering Project Construction real data based on BIM
CN109213785A (en) * 2018-09-12 2019-01-15 北京海数宝科技有限公司 Bill compilation method, apparatus, computer equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王耀华: "工程造价数据库的建立与应用研究", 《工程经济》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111553558A (en) * 2020-03-30 2020-08-18 宁波市城展建设工程有限公司 Building cost budgeting method, device and storage medium thereof
CN112116495A (en) * 2020-09-01 2020-12-22 上海康诚建设工程咨询有限公司 Method and system for visualizing engineering quantity list, terminal equipment and storage medium

Also Published As

Publication number Publication date
CN109918401B (en) 2021-10-19

Similar Documents

Publication Publication Date Title
Alfaro‐García et al. Logarithmic aggregation operators and distance measures
He et al. Managing supply disruption through procurement strategy and price competition
Xian et al. A novel approach for linguistic group decision making based on generalized interval‐valued intuitionistic fuzzy linguistic induced hybrid operator and TOPSIS
CN108733713A (en) Data query method and device in data warehouse
CN102546754B (en) Service quality customized Web service combination method
CN108647914A (en) Production scheduling method and device, computer equipment and storage medium
Koh et al. Finding k most favorite products based on reverse top-t queries
CN109492150A (en) Reverse nearest neighbor queries method and device based on semantic track big data
CN109918401A (en) Bill of quantities data processing method, device, storage medium and computer equipment
Kłos et al. The scheme of a novel methodology for zonal division based on power transfer distribution factors
Wu et al. DEA cross‐efficiency ranking method considering satisfaction and consensus degree
CN109409848A (en) Node intelligent recommended method, terminal device and the storage medium of open process
Zhao et al. An approach to consensus measure based on possibility degrees of PLTSs in group decision making
CN102136007B (en) Small world property-based engineering information organization method
CN114239960A (en) Distribution network project group progress management method and system based on dynamic resource optimization
CN101930566A (en) Hydrological experimental simulation system and method based on parallel system
Wang et al. Reliable service composition via automatic QoS prediction
CN103763302A (en) Web service combination generating method
CN102855278B (en) A kind of emulation mode and system
Ho et al. A concurrent solution for intra-cell flow path layouts and I/O point locations of cells in a cellular manufacturing system
Yingjie et al. Reliability analysis of machining systems by considering system cost
Ekel et al. Multicriteria analysis based on constructing payoff matrices and applying methods of decision making in fuzzy environment
US20190244159A1 (en) System and Method of Parallelizing Order-By-Order Planning
Yager Criteria importances in OWA aggregation: an application of fuzzy modeling
Foroughi et al. Ranking units in DEA based on efficiency intervals and decision‐maker's preferences

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
GR01 Patent grant
GR01 Patent grant