CN108681799A - A kind of project cost prediction technique, device, equipment and readable storage medium storing program for executing - Google Patents
A kind of project cost prediction technique, device, equipment and readable storage medium storing program for executing Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of project cost prediction technique, device, equipment and computer readable storage mediums.Wherein, method includes the quantities for obtaining BIM 5D management platforms and calculating engineering project；In the cost forecast model that the unit price input of the artificial of Vehicles Collected from Market, material and machinery is built in advance, it obtains artificial, material and machinery is in the unit price of different implementation phases in engineering project, cost forecast model is to utilize Machine Learning algorithms, the sample data gained of the multiple history engineering projects of learning training；According to quantities and the artificial of corresponding implementation phase, the unit price of material and machinery, the cost of engineering project is calculated, realizes the dynamic prediction of project cost.Technical solution provided by the present application is when calculating the cost of engineering project, talent's machine unit price is taken into account to change with time, the deficiency for making up existing cost forecasting, improves the accuracy and reliability of project cost prediction, and the cost for being advantageously implemented entire engineering project accurately controls.
Description
Technical field
The present embodiments relate to construction engineering technical field, more particularly to a kind of project cost prediction technique,
Device, equipment and computer readable storage medium.
Background technology
The forecasting of cost of engineering project, that is, project cost, project cost refer to just the construction price of engineering, refer to for
Complete the construction of an engineering, it is contemplated that or actually required full payment summation.It is defined from the angle of owner (investor), work
Journey cost refers to the construction cost of engineering, as builds the complete equipment investment of an engineering expectation payment or actual delivery
Expense.These expenses mainly include equipment and Work tool purchase commodity, architectural engineering and installing engineering expense, engineering construction other take
With, reserve fund, interest incurred during construction, regulation tax to the investment (this expense suspends collection at present).Traditional engineering
Forecasting of cost generally relies on manual operation, and user provides the information of correlation engineering project to cost person, and cost person estimates the engineering
The cost of project, administrative staff carry out the update and publication of cost information, and the promptness of cost information and accuracy are all relatively low.
With the fast development of information technology, traditional architectural engineering towards architectural engineering Informatization Development, such as
BIM is that leading informationization technology application has been widely applied in civil construction project.
BIM is the abbreviation of Building Information Model, by establishing virtual architectural engineering threedimensional model in a computer, simultaneously
Using digitizing technique, complete, the architectural engineering information bank consistent with actual conditions is established.The core of BIM-5D technologies is logical
It crosses and establishes virtual architectural engineering five-dimension model (three-dimensional space model, one-dimensional time and one-dimensional progress) in a computer, simultaneously
Using digitizing technique, complete, the architectural engineering information bank consistent with actual conditions is provided for the five-dimension model.It is domestic at present
The predominantly wide connection of BIM-5D softwares reaches 5D and iTWO softwares, and still, the cost for the engineering project that BIM-5D is calculated is according to existing
What pedestrian's material machine calculation of price came out, do not consider that talent's machine price changes with time, timeliness is relatively low, causes cost price not
Accurately, it is susceptible to the phenomenon that clearing excess budget.
Invention content
The purpose of the embodiment of the present invention is to provide a kind of project cost prediction technique, device, equipment and computer can
Storage medium is read, the deficiency of existing cost forecasting is made up, improves the accuracy of project cost prediction.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme：
On the one hand the embodiment of the present invention provides a kind of project cost prediction technique, be based on BIM 5D management platforms,
Including：
Obtain the quantities that the BIM 5D management platforms calculate engineering project；
In the cost forecast model that the unit price input of the artificial of Vehicles Collected from Market, material and machinery is built in advance, people is obtained
Work, material and machinery are in the unit price of different implementation phases in the engineering project；
According to the quantities and the artificial of corresponding implementation phase, the unit price of material and machinery, the engineering project is calculated
Cost, to realize the dynamic prediction of the project cost；
Wherein, the cost forecast model is to utilize machine learning algorithm, the multiple sample datas gained of learning training, sample
Data are BIM historical data bases and the history engineering project data in the BIM 5D management platforms and corresponding cost data；
The real-time unit price changed over time for predicting artificial, material and machinery.
Optionally, the cost forecast model is to utilize algorithm of support vector machine, the multiple sample datas gained of learning training.
Optionally, artificial, material and the mechanical unit price that different implementation phases are in the engineering project are obtained described
Later, further include：
Judge the unit price of the artificial of current project implementation phase, material and machinery, if in preset fiducial interval range
It is interior；
If it is not, the unit price of the artificial of Vehicles Collected from Market, material and machinery is then inputted the cost forecast model again.
Optionally, the quantities for obtaining the BIM 5D management platforms calculating engineering project includes：
According to default renewal frequency, the real-time engineering amount that the BIM 5D management platforms calculate engineering project is obtained.
Optionally, the quantities is the node workload of the destination node of the engineering project, described according to the work
Journey amount and the artificial of corresponding implementation phase, material and machinery unit price, the cost of the engineering project is calculated, to realize the work
The dynamic prediction of journey project cost is：
According to the destination node workload, the artificial of the destination node, material and machinery unit price, calculate the mesh
Mark the cost of node.
On the other hand the embodiment of the present invention provides a kind of project cost prediction meanss, flat based on BIM-5D management
Platform, including：
Quantities acquisition module calculates the quantities of engineering project for obtaining the BIM 5D management platforms；
Monovalent prediction module, the cost for building the unit price input of the artificial of Vehicles Collected from Market, material and machinery in advance
In prediction model, obtains artificial, material and machinery is in the unit price of different implementation phases in the engineering project；Wherein, described
Cost forecast model is used to predict the real-time unit price that artificial, material and machinery change over time, and to utilize machine learning algorithm, learns
It practises obtained by the multiple sample datas of training, sample data is the history work in BIM historical data bases and the BIM 5D management platforms
Journey project data and corresponding cost data；
Forecasting of cost module is used for the unit price according to the quantities and the artificial of corresponding implementation phase, material and machinery,
The cost for calculating the engineering project, to realize the dynamic prediction of the project cost.
Optionally, the monovalent prediction module further includes：
Judging submodule, for judging the artificial of current project implementation phase, material and the unit price of machinery, if default
Fiducial interval range in；
Retraining submodule, for when the unit price of the artificial of current project implementation phase, material and machinery is not preset
In fiducial interval range, the unit price of the artificial of Vehicles Collected from Market, material and machinery is inputted into the cost forecast model again.
Optionally, the quantities acquisition module is to obtain the BIM5D management platforms according to default renewal frequency and calculate
The module of the real-time engineering amount of engineering project.
The embodiment of the present invention additionally provides a kind of pre- measurement equipment of project cost, including processor, and the processor is used
The step of project cost prediction technique as described in preceding any one is realized when executing the computer program stored in memory.
The embodiment of the present invention finally additionally provides a kind of computer readable storage medium, the computer readable storage medium
On be stored with project cost Prediction program, realized as former when the project cost Prediction program is executed by processor
The step of one project cost prediction technique.
An embodiment of the present invention provides a kind of project cost prediction techniques, obtain BIM-5D management platforms and calculate engineering
The quantities of project；In the cost forecast model that the unit price input of the artificial of Vehicles Collected from Market, material and machinery is built in advance, obtain
The unit price of different implementation phases is in engineering project to artificial, material and machinery, cost forecast model is to utilize rote learning
Algorithm, the sample data gained of the multiple history engineering projects of learning training；According to artificial, the material of quantities and corresponding implementation phase
The unit price of material and machinery, calculates the cost of engineering project, realizes the dynamic prediction of project cost.
The advantages of technical solution provided by the present application, is, when calculating the cost of engineering project, due to engineering project week
Phase is longer, people in different time periods, material, machine unit price may change, using machine learning algorithm to a large amount of historical datas
Carry out learning training, the people changed over time, material, machine real-time unit price, the effective solution prior art is being calculated as
This when, does not consider that the unit price of talent's machine changes over time and leads to occur the phenomenon that clearing excess budget, it is pre- to make up existing cost
The deficiency of survey improves the accuracy and reliability of project cost prediction, is advantageously implemented the cost of entire engineering project
It accurately controls.
In addition, the embodiment of the present invention provides corresponding realization device, equipment also directed to project cost prediction technique
And computer readable storage medium, further such that the method has more practicability, described device, equipment and computer-readable
Storage medium has the advantages that corresponding.
Description of the drawings
It, below will be to embodiment or existing for the clearer technical solution for illustrating the embodiment of the present invention or the prior art
Attached drawing is briefly described needed in technology description, it should be apparent that, the accompanying drawings in the following description is only this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram of project cost prediction technique provided in an embodiment of the present invention；
Fig. 2 is the method flow schematic diagram of an illustrative example provided in an embodiment of the present invention；
Fig. 3 is a kind of specific implementation mode structure chart of project cost prediction meanss provided in an embodiment of the present invention.
Specific implementation mode
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
Term " first ", " second ", " third " " in the description and claims of this application and above-mentioned attached drawing
Four " etc. be for distinguishing different objects, rather than for describing specific sequence.In addition term " comprising " and " having " and
Their any deformations, it is intended that cover and non-exclusive include.Such as contain the process of series of steps or unit, method,
The step of system, product or equipment are not limited to list or unit, but the step of may include not listing or unit.
After describing the technical solution of the embodiment of the present invention, the various non-limiting realities of detailed description below the application
Apply mode.
Referring first to Fig. 1, Fig. 1 is a kind of flow signal of project cost prediction technique provided in an embodiment of the present invention
Figure, is based on BIM 5D management platforms, and the embodiment of the present invention may include the following contents：
S101：Obtain the quantities that BIM 5D management platforms calculate engineering project.
S102：In the cost forecast model that the unit price input of the artificial of Vehicles Collected from Market, material and machinery is built in advance, obtain
The unit price of different implementation phases is in engineering project to artificial, material and machinery.
S103：According to quantities and the artificial of corresponding implementation phase, the unit price of material and machinery, calculate engineering project at
This, to realize the dynamic prediction of project cost.
Quantities can be the quantities of some construction key point or the quantities of milestone phase in engineering project,
Or the overall work amount for entire engineering project, in forecast cost, quantities is which of engineering project in stage, accordingly
Cost be the stage cost namely quantities and cost it is corresponding, such as according to destination node workload, destination node
Manually, the unit price of material and machinery calculates the cost of destination node.
Since the period of engineering project is longer, in entirely implementing engineering, each stage of engineering project is not necessarily with original
Design scheme is identical, it may occur that corresponding adjustment, correspondingly, the current quantities of engineering project compares the work of initial design
Cheng Liang can also occur to adjust accordingly.In another embodiment, quantities is as the progress of engineering project changes and becomes
Change.In view of above two scene, for the real-time record and dynamic prediction of cost of implementation information, renewal project amount data at any time
With engineering cost information, BIM 5D management platforms can periodically calculate the quantities of engineering project, newer in order to periodically obtain
Quantities data, such as default renewal frequency are 15 days, to renewal project cost information, realize and are carried from static cost management
It is raised to real-time dynamic cost control, improves Cost Management technical capability.
Cost forecast model is used to predict the real-time unit price that artificial, material and machinery change over time.It is using machinery
Obtained by the multiple sample datas of learning algorithm learning training, in order to improve the efficiency of data processing, the accuracy of forecasting of cost is improved
And reliability, support vector machines learning algorithm training sample data can be used, obtain support vector machines cost preset model.
Sample data is BIM historical data bases and the history engineering project data in BIM 5D management and corresponding cost number
According to.The cost data of processing, including quantities, current people are collected according to BIM historical data bases and BIM 5D management platforms
Material machine unit price etc., handles these data, and learning training is simultaneously corrected, unit price of the prediction talent's machine in each period.
BIM historical data bases are, according to the database that IFC standards are established, to be covered according to the engineering project based on BIM in the past
All participants of project, such as construction unit, material supplier, unit in charge of construction etc. is related to different types of information, including project spy
Point, the geometry material etc. of component and the quality in work progress, resource, cost and quantities data etc..
Given full play to the advantage of BIM technology, the BIM historical data bases of foundation, be collected into various case histories decision,
Design, construction, the different types of information in operation management stage, such as engineering address, the engineering construction time, material information, several
What information, cost information etc. provides a large amount of abundant data for SVM prediction and carries out learning training, ensure that support
The effect of vector machine prediction.BIM is used in cost estimation system, realizes the visualization and digitlization of forecasting of cost,
Forecasting of cost becomes intuitive and convenient, it is easier to carry out cost control.
In order to further increase the accuracy of forecasting of cost, when using support vector machines training sample data, judge pre-
Whether the result of survey and the precision of actual result meet the requirements, and are returned if being unsatisfactory for and carry out learning training again, if meeting true
Determine the good kernel function of fitting effect, and then the current price of the people of the engineering project of input cost to be calculated, material, machine, carries out pre-
It surveys, if the result of prediction in fiducial interval range, exports prediction unit price.Then man-machine material unit price prediction obtained inputs
BIM 5D management platforms are wanted if prediction result, not in fiducial interval range, return continues learning training until meeting
It asks.
In technical solution provided in an embodiment of the present invention, when calculating the cost of engineering project, due to engineering project week
Phase is longer, people in different time periods, material, machine unit price may change, using machine learning algorithm to a large amount of historical datas
Carry out learning training, the people changed over time, material, machine real-time unit price, the effective solution prior art is being calculated as
This when, does not consider that the unit price of talent's machine changes over time and leads to occur the phenomenon that clearing excess budget, it is pre- to make up existing cost
The deficiency of survey improves the accuracy and reliability of project cost prediction, is advantageously implemented the cost of entire engineering project
It accurately controls.
In order to which the technical solution of the application is more clearly understood in those skilled in the art, referring to Fig. 2, the application also provides
One specific embodiment, specifically may include：
Data is compiled first, establishes BIM historical data bases, and the information of BIM historical data bases may include built work
Journey project name, project construction time, item characteristic, the geometric dimension of component, material etc. and the quality in work progress, money
Source, cost and quantities data etc..Secondly, groups of people, material, machine cost are extracted from BIM historical data bases, utilize supporting vector
Machine carries out learning training, judges whether the result of prediction and the precision of actual result meet the requirements, returned if being unsatisfactory for again into
Row learning training determines the good kernel function of fitting effect, and then the existing valence of the people of input Building A project, material, machine if meeting
Lattice are predicted, if the result of prediction in fiducial interval range, exports prediction unit price, into BIM 5D management platforms, if
Prediction result then returns not in fiducial interval range and continues learning training, until meeting the requirements.Finally, according to cost
The prediction unit price of prediction model, in conjunction with the calculated quantities of BIM 5D management platforms of Building A project, predictive engine cost is
It formulates Project Cost Control scheme and scientific basis is provided.
From the foregoing, it will be observed that the embodiment of the present invention makes up the deficiency of existing cost forecasting, project cost prediction is improved
Accuracy.
The embodiment of the present invention provides corresponding realization device also directed to project cost prediction technique, further such that
The method has more practicability.Project cost prediction meanss provided in an embodiment of the present invention are introduced below, under
The project cost prediction meanss of text description can correspond reference with above-described project cost prediction technique.
Referring to Fig. 3, Fig. 3 is project cost prediction meanss provided in an embodiment of the present invention in a kind of specific implementation mode
Under structure chart, which may include：
Quantities acquisition module 301 calculates the quantities of engineering project for obtaining BIM 5D management platforms.
Monovalent prediction module 302, for by the artificial of Vehicles Collected from Market, material and machinery unit price input build in advance at
In this prediction model, obtains artificial, material and machinery is in the unit price of different implementation phases in engineering project；Wherein, cost is pre-
Survey model be using machine learning algorithm, obtained by the multiple sample datas of learning training, sample data be BIM historical data bases and
History engineering project data in BIM 5D management and corresponding cost data；For predicting artificial, material and machinery at any time
The real-time unit price of variation.
Forecasting of cost module 303 is used for the unit price according to quantities and the artificial of corresponding implementation phase, material and machinery,
The cost for calculating engineering project, to realize the dynamic prediction of project cost.
Optionally, in some embodiments of the present embodiment, the unit price prediction module 302 for example can also include：
Judging submodule, for judging the artificial of current project implementation phase, material and the unit price of machinery, if default
Fiducial interval range in；
Retraining submodule, for working as artificial, material and machinery in the engineering project in current project implementation phase
Unit price not in preset fiducial interval range, again by the input of the unit price of the artificial of Vehicles Collected from Market, material and machinery it is described at
This prediction model.
Specifically, in other embodiments of the present embodiment, the quantities acquisition module 301 can also be according to pre-
If renewal frequency, the module that the BIM 5D management platforms calculate the real-time engineering amount of engineering project is obtained.
The function of each function module of project cost prediction meanss described in the embodiment of the present invention can be according to the above method
Method specific implementation in embodiment, specific implementation process are referred to the associated description of above method embodiment, herein not
It repeats again.
From the foregoing, it will be observed that the embodiment of the present invention is when calculating the cost of engineering project, it is different since the engineering project period is longer
The people of period, material, machine unit price may change, study instruction is carried out to a large amount of historical datas using machine learning algorithm
Practice, the real-time unit price of the people, material, machine that are changed over time, the effective solution prior art does not consider when calculating cost
The unit price of talent's machine changes over time and leads to occur the phenomenon that clearing excess budget, and makes up the deficiency of existing cost forecasting, carries
The accuracy and reliability of project cost prediction is risen, the cost for being advantageously implemented entire engineering project accurately controls.
The embodiment of the present invention additionally provides a kind of pre- measurement equipment of project cost, specifically may include：
Memory, for storing computer program；
Processor, for executing computer program to realize project cost prediction side described in any one embodiment as above
The step of method.
The function of each function module of the pre- measurement equipment of project cost described in the embodiment of the present invention can be according to the above method
Method specific implementation in embodiment, specific implementation process are referred to the associated description of above method embodiment, herein not
It repeats again.
From the foregoing, it will be observed that the embodiment of the present invention makes up the deficiency of existing cost forecasting, project cost prediction is improved
Accuracy.
The embodiment of the present invention additionally provides a kind of computer readable storage medium, is stored with the pre- ranging of project cost
Sequence, as above project cost prediction described in any one embodiment when the project cost Prediction program is executed by processor
The step of method.
The function of each function module of computer readable storage medium described in the embodiment of the present invention can be according to above method reality
The method specific implementation in example is applied, specific implementation process is referred to the associated description of above method embodiment, herein no longer
It repeats.
From the foregoing, it will be observed that the embodiment of the present invention makes up the deficiency of existing cost forecasting, project cost prediction is improved
Accuracy.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with it is other
The difference of embodiment, just to refer each other for same or similar part between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method part
Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, depends on the specific application and design constraint of technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
It to a kind of project cost prediction technique provided by the present invention, device, equipment and computer-readable deposits above
Storage media is described in detail.Principle and implementation of the present invention are described for specific case used herein,
The explanation of above example is only intended to facilitate the understanding of the method and its core concept of the invention.It should be pointed out that for this technology
For the those of ordinary skill in field, without departing from the principle of the present invention, several improvement can also be carried out to the present invention
And modification, these improvement and modification are also fallen within the protection scope of the claims of the present invention.
Claims (10)
1. a kind of project cost prediction technique, which is characterized in that BIM 5D management platforms are based on, including：
Obtain the quantities that the BIM 5D management platforms calculate engineering project；
In the cost forecast model that the unit price input of the artificial of Vehicles Collected from Market, material and machinery is built in advance, artificial, material is obtained
Material and machinery are in the unit price of different implementation phases in the engineering project；
According to the quantities and the artificial of corresponding implementation phase, the unit price of material and machinery, calculate the engineering project at
This, to realize the dynamic prediction of the project cost；
Wherein, the cost forecast model is to utilize machine learning algorithm, the multiple sample datas gained of learning training, sample data
For in BIM historical data bases and the BIM 5D management platforms history engineering project data and corresponding cost data；For
The real-time unit price that prediction is artificial, material and machinery change over time.
2. project cost prediction technique according to claim 1, which is characterized in that the cost forecast model is profit
With algorithm of support vector machine, the multiple sample datas gained of learning training.
3. project cost prediction technique according to claim 2, which is characterized in that obtain artificial, material described
With machinery after the unit price that the engineering project is in different implementation phases, further include：
Judge the unit price of the artificial of current project implementation phase, material and machinery, if in preset fiducial interval range；
If it is not, the unit price of the artificial of Vehicles Collected from Market, material and machinery is then inputted the cost forecast model again.
4. the project cost prediction technique according to claims 1 to 3 any one, which is characterized in that the acquisition
The quantities that the BIM-5D management platforms calculate engineering project includes：
According to default renewal frequency, the real-time engineering amount that the BIM-5D management platforms calculate engineering project is obtained.
5. project cost prediction technique according to claim 4, which is characterized in that the quantities is the engineering
The node workload of the destination node of project, it is described according to the quantities and the artificial of corresponding implementation phase, material and machinery
Unit price, the cost of the engineering project is calculated, to realize that the dynamic prediction of the project cost is：
According to the destination node workload, the artificial of the destination node, material and machinery unit price, calculate the target section
The cost of point.
6. a kind of project cost prediction meanss, which is characterized in that BIM-5D management platforms are based on, including：
Quantities acquisition module calculates the quantities of engineering project for obtaining the BIM-5D management platforms；
Monovalent prediction module, the forecasting of cost for building the unit price input of the artificial of Vehicles Collected from Market, material and machinery in advance
In model, obtains artificial, material and machinery is in the unit price of different implementation phases in the engineering project；Wherein, the cost
Prediction model is used to predict the real-time unit price that artificial, material and machinery change over time, to utilize machine learning algorithm, study instruction
Practice obtained by multiple sample datas, sample data is the history engineering item in BIM historical data bases and the BIM 5D management platforms
Mesh number evidence and corresponding cost data；
Forecasting of cost module is calculated for the unit price according to the quantities and the artificial of corresponding implementation phase, material and machinery
The cost of the engineering project, to realize the dynamic prediction of the project cost.
7. project cost prediction meanss according to claim 6, which is characterized in that the unit price prediction module is also wrapped
It includes：
Judging submodule, for judging the artificial of current project implementation phase, material and the unit price of machinery, if set preset
Believe in interval range；
Retraining submodule, for when the unit price of the artificial of current project implementation phase, material and machinery is not in preset confidence
In interval range, the unit price of the artificial of Vehicles Collected from Market, material and machinery is inputted into the cost forecast model again.
8. project cost prediction meanss according to claim 7, which is characterized in that the quantities acquisition module is
According to default renewal frequency, the module that the BIM-5D management platforms calculate the real-time engineering amount of engineering project is obtained.
9. a kind of pre- measurement equipment of project cost, which is characterized in that including processor, the processor is for executing memory
It is realized when the computer program of middle storage as described in any one of claim 1 to 5 the step of project cost prediction technique.
10. a kind of computer readable storage medium, which is characterized in that be stored with engineering item on the computer readable storage medium
Mesh forecasting of cost program is realized when the project cost Prediction program is executed by processor such as any one of claim 1 to 5
The step of project cost prediction technique.
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