CN112085522A - Construction cost data processing method, system, device and medium for engineering project - Google Patents

Construction cost data processing method, system, device and medium for engineering project Download PDF

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CN112085522A
CN112085522A CN202010856089.7A CN202010856089A CN112085522A CN 112085522 A CN112085522 A CN 112085522A CN 202010856089 A CN202010856089 A CN 202010856089A CN 112085522 A CN112085522 A CN 112085522A
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project
cost data
construction cost
dimensional space
text information
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高峰
吴虹鸥
许捷
周军
明安辉
李曼娜
刘金山
谭俊
王舜
杨娅婷
谢伟
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Jiangsu Yida Home Credit Digital Technology Co ltd
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Abstract

The invention discloses a method, a system, a device and a medium for processing construction cost data of an engineering project. The method can automatically decompose the imported engineering project according to a project structure, match the introduced engineering project in a preset project library through a data similarity algorithm according to a plurality of decomposed single projects to obtain corresponding similar single projects, and obtain a first functional factor of the single project, a second functional factor of the similar single projects and second cost data; determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factors and the first functional factors; and determining third construction cost data of the project according to the first construction cost data of each single project. According to the method, the processing efficiency of the manufacturing cost data is effectively improved based on the artificial intelligence technology, and the accuracy of the finally obtained data can be guaranteed. The invention can be widely applied to the technical field of engineering data processing.

Description

Construction cost data processing method, system, device and medium for engineering project
Technical Field
The invention relates to the technical field of engineering data processing, in particular to a method, a system, a device and a medium for processing construction cost data of an engineering project.
Background
With the development of society, the urbanization process is gradually accelerated at present, and engineering projects in various regions are actively built. For engineering projects, the cost data is very important in indexes such as asset analysis and investment approximate calculation in the early stage, so that the cost data needs to be calculated as accurately and effectively as possible.
The method for processing the construction cost data of the engineering project commonly used in the industry at present comprises an index method, a coefficient method and an approximate calculation index method, wherein the index method is an index method according to the economic index of the project and the time period. The coefficient method is that the scale of the project formed in a certain industry has a proportional relation with certain parameters of the production process, but the processing method can only be applied to the cost data processing of certain industries, and the applicability is poor. In summary, the current engineering project cost data has no general and convenient processing means, the accuracy and automation level of data processing are not high, the efficiency is low, and improvement is urgently needed.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art.
Therefore, an object of the embodiments of the present application is to provide a method for processing cost data of an engineering project, which can effectively improve the accuracy and the degree of automation of the cost data processing of the engineering project, can improve the efficiency of the data processing, and is applicable to a wider engineering field.
It is another object of an embodiment of the present application to provide a cost data processing system for an engineering project.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the application comprises the following steps:
in a first aspect, an embodiment of the present application provides a method for processing construction cost data of an engineering project, including the following steps:
acquiring a project structure of an imported project, and dividing the project into a plurality of single projects according to the project structure;
acquiring a first functional factor of each single project;
respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
acquiring a second functional factor and second cost data of the similar single project;
determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factors and the first functional factors;
and determining third construction cost data of the project according to the first construction cost data of each single project.
In addition, the construction cost data processing method for the engineering project according to the above embodiment of the present invention may further have the following additional technical features:
further, in one embodiment of the present invention, the first function factor is a measurement unit or a scale value of a single project.
Further, in an embodiment of the present invention, the single project further includes a plurality of unit projects.
Further, in an embodiment of the present invention, the step of respectively matching similar single projects to each of the single projects in a preset project library by a data similarity algorithm specifically includes:
acquiring first text information of the single project and second text information of the single projects of a plurality of project libraries;
inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
and determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
Further, in one embodiment of the present invention, the text representation model is a TF-IDF model.
In a second aspect, an embodiment of the present application provides a construction cost data processing system for an engineering project, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a project structure of an imported project and dividing the project into a plurality of single projects according to the project structure;
the second acquisition module is used for acquiring the first functional factors of the single projects;
the matching module is used for respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
the third acquisition module is used for acquiring a second functional factor and second cost data of the similar single project;
the first processing module is used for determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factor and the first functional factor;
and the second processing module is used for determining third construction cost data of the project according to the first construction cost data of each single project.
In addition, the construction cost data processing system of the engineering project according to the above embodiment of the present invention may further have the following additional technical features:
further, in an embodiment of the present invention, the matching module is specifically configured to obtain first text information of the single project and second text information of the single projects of the plurality of project libraries;
inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
and determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
Further, the text representation model is a TF-IDF model.
In a third aspect, an embodiment of the present application provides a construction cost data processing apparatus for an engineering project, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one program causes the at least one processor to implement the construction cost data processing method for the engineering project.
In a fourth aspect, the present application further provides a computer-readable storage medium, in which processor-executable instructions are stored, and when the processor-executable instructions are executed by a processor, the processor-executable instructions are used to implement the manufacturing cost data processing method for the engineering project.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
the method in the embodiment of the application can automatically decompose the imported engineering project according to the project structure, match the introduced engineering project in a preset project library through a data similarity algorithm according to a plurality of decomposed single projects to obtain corresponding similar single projects, and obtain a first function factor of the single project, a second function factor of the similar single projects and second cost data; determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factors and the first functional factors; and determining third construction cost data of the project according to the first construction cost data of each single project. The construction cost data processing method of the engineering project in the embodiment of the application effectively improves the processing efficiency of the construction cost data based on the artificial intelligence technology, and the accuracy of the finally obtained data can be guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings of the embodiments of the present application or the related technical solutions in the prior art are described below, it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments of the technical solutions of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of an embodiment of a cost data processing method for an engineering project of the present application;
FIG. 2 is a schematic block diagram of an embodiment of a cost data processing system for an engineering project of the present application;
fig. 3 is a schematic structural diagram of an embodiment of a construction cost data processing apparatus of the engineering project of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
Hereinafter, a construction cost data processing method and system for a construction project according to an embodiment of the present application will be described in detail with reference to the accompanying drawings, and first, a construction cost data processing method for a construction project according to an embodiment of the present application will be described with reference to the accompanying drawings. The method can be applied to a terminal, a server, software running in the terminal or the server, such as an application program with construction cost data processing of engineering projects and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and a big data and artificial intelligence platform.
Referring to fig. 1, an embodiment of the present application provides a method for processing construction cost data of an engineering project, which mainly includes the following steps:
s1, acquiring a project structure of the imported project, and dividing the project into a plurality of single projects according to the project structure;
in the embodiment of the application, the engineering project can be any industry and field engineering project, and the belonged classification of the engineering project can be subdivided according to industry classification, business state classification, function classification and professional classification, for example, the engineering project can be divided into house and land industry, entertainment industry, cultural and educational body defense industry and the like according to the industry; the method can be divided into common houses, office buildings, medicinal material bases and the like according to the industrial engineering project; dividing according to functions, namely according to the overall functions or purposes of the engineering project; the engineering projects can be classified according to the profession by a certain construction process or method. Each project has a project structure, which can be a structure that divides the project into several single projects according to the classification method, and further, each single project can be subdivided into unit projects. Specifically, in the field of engineering projects, unit engineering differs from single engineering in that: the single project has independent design files, can be independently constructed, and can independently exert the production capacity or the use benefit after being built; the unit project is a component of a single project and refers to a project which has an independent design and can independently organize construction, but cannot independently exert production capacity or use benefit after completion. I.e. a single project may comprise several unit projects.
S2, acquiring a first functional factor of each single project;
in the embodiment of the present application, the functional factor refers to a measurement unit or a scale value of a single construction scale of each component of an engineering project, for example, for a construction project: the functional factor can be the building area of the building project, and for a hotel finishing project, the functional factor can also be the total number of beds of the hotel and the like. It will be appreciated by those skilled in the art that the functional factor can be flexibly selected according to the specific situation of a single project. In addition, in the embodiment of the present application, the construction cost data processing method is described in the dimension of a single project, and may also be implemented based on a unit project in practical application, and the specific principle is similar, and is not described herein again.
S3, respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
in the embodiment of the application, the existing similar single project is judged according to the single project of the current project by using a data similarity intelligent algorithm in the artificial intelligence field. Specifically, the process comprises the steps of:
s31, acquiring first text information of the single project and second text information of the single projects of the plurality of project libraries;
s32, inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
s33, determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
The text representation model in the embodiment of the application is used for extracting the feature vectors of the single project text information, the specific training method is consistent with the existing machine learning model training method, and in the field, as the text information of the project is mostly in a short text structure, that is, the number of characters of a sentence is not too large, the grammar/syntax rule is not complex, and the meaning of text expression is not influenced by adjusting the front and back sequence of the sentence in the text information. Therefore, a TF-IDF model which mainly focuses on words and frequency but is insensitive to word order can be selected as a text representation model. Extracting first text information of a current single project and second text information of a single project in a plurality of project libraries through a trained text representation model to obtain a first high-dimensional space vector corresponding to the first text information and a plurality of second high-dimensional space vectors corresponding to the second text information, then determining the second high-dimensional space vectors similar to the first high-dimensional space vectors through a K-nearest neighbor algorithm, and taking the project library single projects corresponding to the similar second high-dimensional space vectors as similar single projects. Here, for a single project, one or more similar single projects may be selected.
S4, acquiring a second function factor and second cost data of the similar unit project;
s5, determining the first construction cost data of the single project through the second construction cost data according to the corresponding second function factor and the first function factor
In the embodiment of the application, after the similar single project matched with the current single project is determined, the second function factor and the second cost data are obtained, and then the first cost data of the single project is determined through the second cost data according to the relevance, such as the ratio relation, of the second function factor and the first function factor. Specifically, if a plurality of similar single projects are selected for a single project, the similar single projects can be analyzed and judged according to the average construction cost data.
S6, determining third cost data of the project according to the first cost data of each single project.
In the embodiment of the application, the third cost data of the whole project can be determined and obtained by summing the first cost data of each single project of the project, namely the estimated cost of the project to be determined, the third cost data is determined by the actual cost of the existing similar single project, and compared with the existing method, the method is more accurate, adopts an artificial intelligence algorithm, does not need human statistics and calculation, and can effectively improve the efficiency of data processing.
Next, a construction cost data processing system for a project according to an embodiment of the present application will be described with reference to the drawings.
FIG. 2 is a schematic diagram of a project cost data processing system according to one embodiment of the present invention.
The system specifically comprises:
the system comprises a first acquisition module 101, a second acquisition module and a third acquisition module, wherein the first acquisition module 101 is used for acquiring a project structure of an imported project and dividing the project into a plurality of single projects according to the project structure;
a second obtaining module 102, configured to obtain a first functional factor of each of the single projects;
the matching module 103 is used for respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
a third obtaining module 104, configured to obtain a second functional factor and second cost data of the similar single project;
a first processing module 105, configured to determine, according to the corresponding second functional factor and the first functional factor, first cost data of the single project according to the second cost data;
a second processing module 106, configured to determine third cost data of the project item according to the first cost data of each single project.
As an optional implementation manner, the matching module is specifically configured to obtain first text information of the single project and second text information of the single projects of the plurality of project libraries;
inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
and determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
As an alternative embodiment, the text representation model is a TF-IDF model.
It can be seen that the contents in the foregoing method embodiments are all applicable to this system embodiment, the functions specifically implemented by this system embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this system embodiment are also the same as those achieved by the foregoing method embodiment.
Referring to fig. 3, an embodiment of the present application provides a construction cost data processing apparatus for an engineering project, including:
at least one processor 201;
at least one memory 202 for storing at least one program;
the at least one program, when executed by the at least one processor 201, causes the at least one processor 201 to implement a cost data processing method for an engineering project.
Similarly, the contents of the method embodiments are all applicable to the apparatus embodiments, the functions specifically implemented by the apparatus embodiments are the same as the method embodiments, and the beneficial effects achieved by the apparatus embodiments are also the same as the beneficial effects achieved by the method embodiments.
The embodiment of the present application further provides a storage medium, in which instructions executable by the processor 201 are stored, and the instructions executable by the processor 201 are used for executing the manufacturing cost data processing method of the engineering project when executed by the processor 201.
Similarly, the contents in the foregoing method embodiments are all applicable to this storage medium embodiment, the functions specifically implemented by this storage medium embodiment are the same as those in the foregoing method embodiments, and the advantageous effects achieved by this storage medium embodiment are also the same as those achieved by the foregoing method embodiments.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and/or features may be integrated in a single physical device and/or software module, or one or more of the functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A construction cost data processing method of an engineering project is characterized by comprising the following steps:
acquiring a project structure of an imported project, and dividing the project into a plurality of single projects according to the project structure;
acquiring a first functional factor of each single project;
respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
acquiring a second functional factor and second cost data of the similar single project;
determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factors and the first functional factors;
and determining third construction cost data of the project according to the first construction cost data of each single project.
2. The construction cost data processing method of engineering projects according to claim 1, characterized in that: the first functional factor is a measurement unit or a scale value of a single project.
3. The construction cost data processing method of engineering projects according to claim 1, characterized in that: the single project further comprises a plurality of unit projects.
4. A construction cost data processing method for a construction project according to any one of claims 1 to 3, characterized in that: the step of respectively matching each single project with similar single projects in a preset project library through a data similarity algorithm specifically comprises the following steps:
acquiring first text information of the single project and second text information of the single projects of a plurality of project libraries;
inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
and determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
5. The construction cost data processing method of engineering projects according to claim 4, characterized in that: the text representation model is a TF-IDF model.
6. A cost data processing system for an engineering project, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a project structure of an imported project and dividing the project into a plurality of single projects according to the project structure;
the second acquisition module is used for acquiring the first functional factors of the single projects;
the matching module is used for respectively matching similar single projects for each single project in a preset project library through a data similarity algorithm;
the third acquisition module is used for acquiring a second functional factor and second cost data of the similar single project;
the first processing module is used for determining first construction cost data of the single project through the second construction cost data according to the corresponding second functional factor and the first functional factor;
and the second processing module is used for determining third construction cost data of the project according to the first construction cost data of each single project.
7. The construction cost data processing system of project according to claim 6, wherein the matching module is specifically configured to obtain first text information of the single project and second text information of a plurality of project libraries of the single project;
inputting the first text information and the plurality of second text information into a trained text representation model to obtain a first high-dimensional space vector and a plurality of second high-dimensional space vectors; the first high-dimensional space vector corresponds to the first text information, and each second high-dimensional space vector corresponds to the second text information;
and determining the second high-dimensional space vector similar to the first high-dimensional space vector through a K neighbor algorithm, and taking the project library single project corresponding to the similar second high-dimensional space vector as a similar single project.
8. The project cost data processing system of claim 7, wherein the textual representation model is a TF-IDF model.
9. A construction cost data processing apparatus for an engineering project, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement a method of processing construction cost data for a project according to any one of claims 1 to 5.
10. A computer-readable storage medium having stored therein instructions executable by a processor, the computer-readable storage medium comprising: the processor-executable instructions, when executed by a processor, are for implementing a cost data processing method for a project according to any one of claims 1 to 5.
CN202010856089.7A 2020-08-24 2020-08-24 Construction cost data processing method, system, device and medium for engineering project Pending CN112085522A (en)

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