CN109447522A - A method of it is applied based on project cost internet big data - Google Patents
A method of it is applied based on project cost internet big data Download PDFInfo
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Abstract
The present invention is suitable for internet big data technical field, provide a kind of method based on the application of project cost internet big data, include the following steps: step S001, carry out data acquisition using data obtaining module, acquires the basic data in predetermined field as basic data source；Step S002 carries out data processing using data processing module, basic data source is classified according to preset attribute；Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；Step S004, the target data that being utilized respectively data conversion module and data memory module will acquire are formatted and are stored；Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data information.Whereby, the present invention reduces manpower with this and pays and improve working efficiency by the way that internet big data is applied to project cost technical field.
Description
Technical field
The present invention relates to internet big data technical fields, more particularly to a kind of project cost internet big data that is based on to answer
Method.
Background technique
Big data, also known as flood tide data refer to that huge arrive of related data information amount can not be by human brain very
To main software tool, acquisition, management, processing are reached within the reasonable time and is arranged more long-pending as help enterprise management decision-making
The information looked as far as the eye can.
The characteristics of big data: data volume is big, data class is more, the value that requires strong real-time, data to be contained is big.Each
There is big data in each industry of row, but numerous information and consulting is numerous and complicated, it would be desirable to search for, handles, analyzes, return
It receives, summarize its profound rule.
When existing terminal and internet device are bound, need manually to participate in, such as identifying code is manually entered to test
Validity is demonstrate,proved, complexity, the reliability that will increase binding procedure in this way are poor.
Project cost just refers to the construction price of engineering, refers to complete the construction of an engineering, it is contemplated that or it is actually required
Full payment summation.It is defined from the angle of owner (investor), project cost refers to the construction cost of engineering, these expenses
It mainly include equipment and Work tool purchase commodity, architectural engineering and installing engineering expense, engineering construction other fees, reserve fund, construction
Phase interest, regulation tax to the investment etc..Although these expenses are in the budget needed for the completion of projects of construction project, according to new wealth
When business system and accounting standards for enterprises calculate new assets value, it is not completely formed newly-increased fixed assets value, but these
Expense is necessary to completing fixed assets construction.Construction for heavy construction, the project and number of project cost are extremely huge
Greatly, it is made such as the information of each urban construction unit to the suitable company of selection in especially for bid situation, tender probability, engineering
Valence inventory, clearing situation, encloses mark situation, string mark situation at index storehouse
Big data technology will be seen that economic development situation, each industry development situation, the consumption expenditure and product sales situation
Deng according to analysis as a result, scientifically formulate macro policy, balancing each industry development, avoid excess capacity, effective use nature money
Source and social resources improve social production efficiency.Big data technology can also help government to carry out control of expenditure, transparent reasonable wealth
Political affairs expenditure is beneficial to improve public credibility and supervises expenditure.
As the level of informatization is constantly deepened, enterprise is also increasingly strong to the craving of big data analysis service；It holds internet
The continuous information resources increased have contained the commercially valuable information of flood tide, become important commercial intelligence service information source
Head.Present industry to big data principal concern still in the data of enterprises, and the interconnection of the main carriers as big data
Net, since data volume is huge, obtain difficulty greatly, unit value is relatively low, is entirely almost the difficult points such as the non-structural data such as text,
There is no sufficiently developed and utilized value by industry.
In summary, the existing technology has inconveniences and defects in actual use, so it is necessary to be improved.
Summary of the invention
For above-mentioned defect, the purpose of the present invention is to provide a kind of based on the application of project cost internet big data
Method, by by internet big data be applied to project cost technical field, with this reduce manpower pay and improve work effect
Rate.
To achieve the goals above, the present invention provides a kind of method based on the application of project cost internet big data, packet
Include following steps:
Step S001 carries out data acquisition using data obtaining module, acquires the basic data in predetermined field as base
Plinth data source；
Step S002 carries out data processing using data processing module, is divided basic data source according to preset attribute
Class；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004 is utilized respectively the target data that data conversion module and data memory module will acquire and carries out format turn
It changes and stores；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data letter
Breath.
Method according to the present invention based on the application of project cost internet big data, in step S001, the predetermined neck
Domain includes one or more of engineering construction field, development of real estate, list of engineering bidding field.
Method according to the present invention based on the application of project cost internet big data, step S001 data are adopted in acquiring
Terminal data is received with multiple databases, the database includes in Intelligent hardware end, multiple sensors end and page end
It is one or more.
Method according to the present invention based on the application of project cost internet big data, step S001 and step S002 it
Between further include:
Step S010, data importing/pretreatment, the data importing/pretreatment mode use data scrubbing, data set
At any one or more in, data exchange or data regularization.
Method according to the present invention based on the application of project cost internet big data, step S010 and step S002 it
Between further include:
Step S020, data statistics and analysis carry out data using distributed data base or distributed computing cluster general
Reduction of fractions to a common denominator analysis and Classifying Sum.
Method according to the present invention based on the application of project cost internet big data, in step S020, distributed computing
Cluster uses distributed system infrastructure Hadoop for basic framework, and HDFS is storage mode, and is provided using MapReduce
Parallel computation.
Method according to the present invention based on the application of project cost internet big data, in step S020, using R language
Software is counted and is analyzed to data.
Method according to the present invention based on the application of project cost internet big data, in step S001, a large amount of original numbers
According to collection framework use Flume architectural framework, externally input source is connect by channel with receiving end.
Method according to the present invention based on the application of project cost internet big data, in step S005, data-pushing letter
Breath includes various regions supplier information, project estimates fund and engineering project Estimated Time Of Completion information.
Method according to the present invention based on the application of project cost internet big data, the data in step S004 store mould
Block sends the data comprising the category attribute for the target data for the category attribute according to the data information
The storage of databases corresponding to interface.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, following embodiment, to the present invention into
Row is further described, it should be understood that the specific embodiments described herein are merely illustrative of the present invention, is not used to limit
The fixed present invention.
The present invention provides a kind of methods based on the application of project cost internet big data, include the following steps:
Step S001 carries out data acquisition using data obtaining module, acquires the basic data in predetermined field as base
Plinth data source, data class is various, is related to multiple fields, according to actual needs, suitable field is selected to carry out data acquisition.
Step S002 carries out data processing using data processing module, is divided basic data source according to preset attribute
Class；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004 is utilized respectively the target data that data conversion module and data memory module will acquire and carries out format turn
It changes and stores；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data letter
Breath.
Preferably, in step S001 of the invention, the predetermined field include engineering construction field, development of real estate,
One or more of list of engineering bidding field.In engineering construction and development of real estate, it can be related in largely buying
Hold, it is hot-water heating, electrically essential in engineering construction field according to buying content, especially for the ground that weather is more cold
Area, replacement plumbing pipe is time-consuming and laborious, if statisticallyd analyze by hot-water heating pipe material over the years, using time and damage location,
The small-scale repair and maintenance (R and M) of portion can be directed to, it can great save the cost.
Preferably, in step S001 data of the invention acquisition, terminal data, the number are received using multiple databases
It include one or more of Intelligent hardware end, multiple sensors end and page end according to library.
In addition, between step S001 and step S002 of the invention further include:
Step S010, data importing/pretreatment, the data importing/pretreatment mode use data scrubbing, data set
At any one or more in, data exchange or data regularization.Using data scrubbing, data integration, data exchange and data
Reduction is processed the data being collected into, is arranged, and so as to Develop Data analysis, it is essential rank before data are analyzed
Section, can preferably guarantee the quality of data.
Between step S010 and step S002 of the invention further include:
Step S020, data statistics and analysis carry out data using distributed data base or distributed computing cluster general
Reduction of fractions to a common denominator analysis and Classifying Sum.Received data volume is very big daily for internet, if specific aim is collected, screened and finishing part field
Interior mass data, can greatly improve the treatment effeciency of data, and can reduce cost of investment, meanwhile, in architectural engineering
In, it needs to build using a large amount of basic theoretical knowledges such as a large amount of engineering mechanics, soil mechanics, surveying, Architectural Design & Construction and profession
Knowledge is built, calculation amount is extremely huge, by a large amount of theoretical knowledges in conjunction with real data, can greatly shorten construction period and subtract
The small unnecessary wasting of resources.
Further, data prediction of the invention is returned using data scrubbing, data integration, data exchange and data
Mode about, data scrubbing mainly reach standard data format, and abnormal data are purged, and will significantly count
According to the correction of mistake and the cleaning of repeated data；
Data cleansing can be considered as a process, including detection error and two steps of correction of deviation, data prediction mistake
Cheng Zhong is needed to data cleansing, and the method for data cleansing is usually to fill missing values, is generally had suddenly in the mode of filling missing values
Tuple is omited, missing values are filled in manually, fill missing values using a global constant, and fills missing values with the mean value of attribute,
Reduce the problem of data deviate, the as far as possible error of reduction data itself generation with this.
Data integration is to combine the data in multiple data sources and uniformly store and establish database；Data become
Changed the form that the modes such as smooth aggregation, Data generalization, standardization convert the data into data mining；Data regularization is to find
Dependent on the data useful feature of discovery target, reduce data scale, maximum fine pruning data volume.
In step S020 of the invention, distributed computing cluster is used based on distributed system infrastructure Hadoop
Framework, HDFS are storage mode, and provide parallel computation using MapReduce.Unlike generic file system, in HDFS
In, if a file size less than the size of a data block, does not need the memory space for occupying entire data block.Meanwhile
Since the original design intention of Hadoop is exactly to dispose distributed computing on cheap server, so that many small small public affairs
Department undertake can play the consumption of this respect.
Preferably, in step S020 of the invention, data are counted and is analyzed using R lingware.R language is
For statisticalling analyze, Drawing Language and operating environment, belong to a freedom of GNU system, free, open source software, R
Lingware can provide some integrated statistical tools, various mathematical computations can be provided, the function that statistics calculates, to mention
The efficiency of high data statistic analysis and and reduce cost.
Preferably, in step S001 of the invention, the collection framework of a large amount of initial data uses Flume architectural framework, will
Externally input source is connect by channel with receiving end.In Flume, external input is known as source, and system output is known as receiving end,
Source and receiving end are linked together using channel.In addition, Apache can also be used in addition to Flume acquires framework
Chukwa project, Apache Chukwa project is somewhat similar to Flume, and Chukwa inherits the retractility and robust of Hadoop
Property, also a built-in powerful tool box, monitors for display system and analyzes result.
Preferably, in step S005 of the invention, data-pushing information includes various regions supplier information, project estimates
Fund and engineering project Estimated Time Of Completion information.
In order to reach superior technique effect, data memory module in step S004 of the invention, for according to
The target data is sent data corresponding to the data-interface comprising the category attribute by the category attribute of data information
It is stored in library.
Embodiment 1
For making rational planning for property of enterprise engineering bid is solved the problems, such as in engineering construction, using following steps:
Step S001 carries out data acquisition using data obtaining module, acquires the basic data in predetermined field as base
Plinth data source；During e-bidding, the source of basic data mainly includes building construction field and Real Estate Development field, largely
Basic data include bid situation over the years in each construction unit and real estate developer, tender probability, project cost inventory,
Index storehouse, clearing situation, the information conduct for enclosing mark situation, string mark situation and other violation operations present in bidding process
Basic data；
Step S002 carries out data processing using data processing module, is divided basic data source according to preset attribute
Class；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004 is utilized respectively the target data that data conversion module and data memory module will acquire and carries out format turn
It changes and stores；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data letter
Breath.After user inputs request instruction, message processing module judges whether the information of input closes rule, will by port if closing rule
Required data-pushing is to operation interface；The information of push include the development trend of enterprise's many years, debt situation, middle target probability with
And with the presence or absence of information such as promise breakings.
The advantageous effects of above-described embodiment: in bidding process, according to big data deduce come as a result, direct choosing
Enterprise development trend and the good enterprise of current the situation of enterprises are selected, and utilizes the construction time of enterprise, construction cost, construction road
Line and whether can finish on schedule and make reasonable prediction and simulation, can greatly save production cost, and solve work
Efficiency；During carrying out confluence analysis using mass data of the computer to collection, enterprise engineering can be directly judged
The problem of whether bidding operation closes rule, such as encloses mark, string mark, violation operation, and the source of data and content is traceable, may be used also
Management and decision data foundation are provided to become enterprise's sustainable development, effectively controls enterprise procurement violation operation.
Embodiment 2
Apply the present invention in project cost in door glass and consumables associated therewith, using following operating procedure,
Step S001 carries out data acquisition using data obtaining module, acquires the basic data in predetermined field as base
Plinth data source；Basic data mainly include build construction field in consumables cost, purchasing site, the construction time, apart from ground
Highly, glass door and window and the angle of building etc., and in the location, intensity of typhoon over the years and disaster-stricken floor situation；
Step S002 carries out data processing using data processing module, is divided basic data source according to preset attribute
Class；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004 is utilized respectively the target data that data conversion module and data memory module will acquire and carries out format turn
It changes and stores；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data letter
Breath.
Method according to the present invention based on the application of project cost internet big data, the business data are business data
Data and relational data in library, the real-time feedback data of a large number of users, and from pushing away spy, microblogging, communication software, electricity
The data that sub- commercial affairs and social software generate；The data that flood tide machine generates include the frequency of use of each building machinery, make
The technical issues of being generated when with time, use and server data.
For the coastal cities for using big data application the typhoon that counts of the present invention frequently to occur: typhoon be one kind more
Common and common natural phenomena, Super Typhoon destructive power is surprising, especially influences on the window in skyscraper extremely obvious.
Data are shown, are at 10 meters, when wind speed is 5 meter per second, in 90 meters of upper-level winds away from ground level under normal wind pressure state
Scooter is to 15 meter per seconds, if being up at 300-400 meters, when wind speed reaches 30 meter per seconds or more, building body will not generally be deposited at this time
In problem, but glass is easily broken.If the construction material of each floor is directly selected high intensity in building course
Material can significantly promote the general safety performance of window, but also can greatly increase the cost of engineering, also will cause resource
Waste.According to data analysis it is found that the formation of typhoon and tendency have certain regularity will be over the years using above-mentioned steps
Material, the frame of the intensity of typhoon, typhoon tendency and mass data and glass that the glassbreak degree in building is generated
Material, the thickness of glass, hardness can be with after carrying out integration post analysis with mass data such as the angle of building and construction costs
After the completion of simulating floor construction body, when encountering typhoon, the extent of the destruction of each storey windows, according to using big data simulate come
With reference to figure, adjust the angle of glass and building body, reduce load, and the floor more serious to generation disaster, selection intensity compared with
High construction material can greatly save building cost on the basis of guaranteeing safety in this way.
Embodiment 3
Apply the present invention to build the project cost budget in building constructions industry industry, using following steps:
Step S001, data acquisition collect a large amount of initial data as basic data；A large amount of initial data carry out source domain
Including building construction field and capital construction project area, the main project construction condition including in infrastructure project, project construction progress,
A large amount of initial data such as project construction influence factor, wherein the acquisition of a large amount of initial data receives end using multiple databases
End data, including Intelligent hardware end, page end, mobile APP application end, and simple processing work is carried out using database.
Step S002 carries out data processing using data processing module, is divided basic data source according to preset attribute
Class；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004 is utilized respectively the target data that data conversion module and data memory module will acquire and carries out format turn
It changes and stores；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data letter
Breath.
In architectural process, cost control always is a difficult point of engineering management.Such as in the project, due to early period
Engineering progress is slow, first engineering uses rate bidding mode, checks confirmation budget valence by contract parties.This contract mould
There are many unfavorable factors in practical applications in formula.Firstly, in budget verification, it is right due to the sharp contrast of both sides' position
The relatively fuzzy project dispute of quota regulation is very big, causes big surprising of budget checking work amount, brings to later work development
Very negative impact；Secondly, in the construction process, there is the case where few calculation, omission in unit in charge of construction's discovery in budget, due to
Budget valence is that both sides check confirmation, and unit in charge of construction requires factually to adjust, and very big negative effect is brought to daily management mission；
The more long engineering dragged again in starting date, unit in charge of construction again to call for bid when arrange construction material rise in price serve as reasons, it is desirable that adjust
Whole material price can expend a large amount of manpower and material resources, and be likely to that the duration is caused to delay or even do not finish after many reason superpositions
Baneful influence.
Apply the present invention to during building construction, to construction cost control, including actual conditions condition of construction,
Construction time, consumptive material such as use at many-sided reason, are analyzed using data, extrapolate suitable construction access road and need to be used
Material blocks in order to prevent and reduces replacement frequency for example, in the laying of drainage pipeline, can according to data analysis result,
Densely populated more region, selects the drainpipe being relatively large in diameter, and in oversize vehicle by more frequent section, selects
The drainpipe of high-intensitive material can greatly control construction cost in this way, and reduce replacement of the later period to the drainpipe of laying.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and modifications, but these corresponding changes and change in accordance with the present invention
Shape all should fall within the scope of protection of the appended claims of the present invention.
Claims (10)
1. a kind of method based on the application of project cost internet big data, which comprises the steps of:
Step S001 carries out data acquisition using data obtaining module, acquires number based on the basic data in predetermined field
According to source；
Step S002 carries out data processing using data processing module, basic data source is classified according to preset attribute；
Step S003 is analyzed according to preset rules using data analysis module and is obtained target data；
Step S004, the target data that being utilized respectively data conversion module and data memory module will acquire format and
Storage；
Step S005, according to user's request instruction using message processing module according to logic of propositions judgement and propelling data information.
2. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
In S001, the predetermined field includes engineering construction field, development of real estate, one or more in list of engineering bidding field
It is a.
3. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
In the acquisition of S001 data, terminal data is received using multiple databases, the database includes Intelligent hardware end, a variety of sensings
One or more of device end and page end.
4. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
Between S001 and step S002 further include:
Step S010, data importing/pretreatment, the data importing/pretreatment mode use data scrubbing, data integration, number
According to any one or more in exchange or data regularization.
5. the method according to claim 4 based on the application of project cost internet big data, which is characterized in that step
Between S010 and step S002 further include:
Step S020, data statistics and analysis, commonly divide data using distributed data base or distributed computing cluster
Analysis and Classifying Sum.
6. the method according to claim 5 based on the application of project cost internet big data, which is characterized in that step
In S020, distributed computing cluster uses distributed system infrastructure Hadoop for basic framework, and HDFS is storage mode, and
Parallel computation is provided using MapReduce.
7. the method according to claim 5 based on the application of project cost internet big data, which is characterized in that step
In S020, data are counted and analyzed using R lingware.
8. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
In S001, the collection framework of a large amount of initial data uses Flume architectural framework, and externally input source is passed through channel and receiving end
Connection.
9. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
In S005, when data-pushing information includes that various regions supplier information, project estimates fund and engineering project expect to complete
Between information.
10. the method according to claim 1 based on the application of project cost internet big data, which is characterized in that step
Data memory module in S004 sends the target data to and includes for the category attribute according to the data information
The storage of databases corresponding to the data-interface of the category attribute.
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