CN112669055A - Power transmission and transformation project exploitable estimation simulation group price method and device - Google Patents
Power transmission and transformation project exploitable estimation simulation group price method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for an electric transmission and transformation project capable of researching, estimating and simulating group price, which are used for acquiring historical data of the electric transmission and transformation project; dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database; dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications; matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm; and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated. The invention does not need manual quota, greatly improves the working efficiency, is beneficial to the effective accumulation of the project cost data, enriches the historical project sample library of the estimation table and provides more accurate simulation group price generation standard; the simulated expectable estimation group price can be scanned and compared with historical data, abnormal points are positioned, and estimation accuracy is improved.
Description
Technical Field
The invention relates to the field of evaluation of unit price of power transmission and transformation projects, in particular to a method and a device for evaluating a simulation unit price of a power transmission and transformation project.
Background
At present, the construction cost method of the electric power project is mainly based on the construction cost method of the estimated quota, the workload is calculated by using the quota, the calculation is carried out in a manual calculation and manual report mode, the workload is huge, data is easy to make mistakes, the traditional construction cost technology of the power transmission and transformation project established on the quota is not good at the novel construction cost management, and the data utilization efficiency is low due to the fact that engineering data relate to various influence factors and the comparable project in the same period is limited.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a device for simulating the researched and estimated group price of the power transmission and transformation project, which can automatically simulate the researched and estimated group price of the power transmission and transformation project based on historical data and improve the working efficiency.
The technical scheme of the invention is as follows: a power transmission and transformation project expectable estimation simulation group price method comprises the following steps:
acquiring historical data of a power transmission and transformation project;
dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database;
dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm;
and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated.
Further, the adopted neural network algorithm is a particle swarm algorithm.
Furthermore, the estimated cost of the target function of the particle swarm algorithm as the sub item is the lowest; the constraint conditions of the particle swarm optimization comprise: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval.
Further, if the sub-items are not matched successfully, matching is performed manually.
Further, the method may further comprise,
and filling the obtained estimated cost details of each sub-item into a preset table to obtain an estimable simulated group price table.
Further, the method may further comprise,
the deviation between the estimated cost and the preset limit is displayed in different colors in the table of the estimated group price.
Further, the method may further comprise,
storing the historical power transmission and transformation project exploratable estimation simulation group price in a database;
searching historical power transmission and transformation projects in a database to be matched with the power transmission and transformation projects to be estimated, and obtaining the similarity between the power transmission and transformation projects to be estimated and each historical power transmission and transformation project;
extracting an exploratable estimation simulation group price of the corresponding historical power transmission and transformation project with the similarity exceeding the preset similarity;
and comparing and displaying the extracted grindable estimation simulation group price of the historical power transmission and transformation project with the grindable estimation simulation group price of the power transmission and transformation project to be estimated.
And further, searching the historical power transmission and transformation project and the power transmission and transformation project to be estimated in the database according to the engineering technical parameters for matching.
The technical scheme of the invention also comprises a device for researching and estimating the simulation group price in the power transmission and transformation project, which comprises,
a historical data acquisition module: acquiring historical data of a power transmission and transformation project;
a parameter storage module: dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database;
a project partitioning module: dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
an item matching module: matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm;
a group price obtaining module: and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated.
Further, a neural network algorithm adopted by the project matching module is a particle swarm algorithm;
the estimated cost of the target function of the particle swarm algorithm as a sub item is the lowest; the constraint conditions of the particle swarm optimization comprise: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval.
According to the method and the device for the power transmission and transformation project researched and estimated simulation group price, project item division is carried out according to standard specifications, similar projects of power transmission and transformation project items to be estimated are searched and matched in a database through project corresponding technologies, the best similar projects are obtained, corresponding historical construction cost is extracted to serve as estimated construction cost of the projects to be estimated, finally, the researched and estimated simulation group price of the power transmission and transformation project to be estimated is obtained automatically through estimated construction cost of each sub-project, manual quota is not needed, and working efficiency is greatly improved. In addition, the standard engineering project is divided to realize the standardized import of engineering data, which is beneficial to the effective accumulation of engineering cost data, enriches the historical engineering sample library of an estimation table and provides more accurate simulation group price generation standard; the simulated expectable estimation group price can be scanned and compared with historical data, abnormal points are positioned, and estimation accuracy is improved.
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FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a second structure according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings by way of specific examples, which are illustrative of the present invention and are not limited to the following embodiments.
Example one
As shown in fig. 1, the present embodiment provides a method for generating a simulated group price for power transmission and transformation engineering, which includes the following steps:
s1, acquiring historical data of the power transmission and transformation project;
s2, dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the projects and historical manufacturing cost in a database;
s3, dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
s4, matching the project types in the database for each sub-project based on the project technical parameters by adopting a neural network algorithm;
and S5, obtaining the estimated cost of each sub item according to the matching result, and further summing to obtain the simulative evaluation group price of the power transmission and transformation project to be estimated.
According to the method, a plurality of historical data of the power transmission and transformation project are obtained, a plurality of project types are divided and stored in a database, and follow-up projects are matched and correspond to each other.
In this embodiment, a standard specification is preset to perform project division, and the standard specification is set according to project requirements, for example, a project is divided into a main production project (for example, a communication and telemechanical system), an auxiliary production project, a single project related to a station address, and the like. And finally, dividing a plurality of project types, wherein each project type corresponds to project technical parameters (such as voltage level, length of used cable, project complexity, project scale and the like) and corresponding historical construction cost. And the project type, the project technical parameters and the historical construction cost form a mapping relation and are stored in a database for subsequent extraction and use.
When a new power transmission and transformation project needs to be researched and estimated, dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard standardization, wherein each sub-project has corresponding project technical parameters.
The method adopts a neural network algorithm, matches the project types in the sub-project matching database to the optimal project type based on project technical parameters, further extracts the historical cost of the optimal project type as the estimated cost of the sub-project to be estimated, and sums the estimated cost of each sub-project to obtain the estimated simulation group price of the power transmission and transformation project to be estimated.
Specifically, the neural network algorithm adopted in this embodiment is a particle swarm algorithm, a target function of the particle swarm algorithm is that the estimated cost of the subentry is the lowest, and meanwhile, constraint conditions of the particle swarm algorithm include: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval. Based on these settings, the best item type is matched.
If the sub-items are not successfully matched, the matching is performed manually.
The embodiment also fills the obtained estimated cost details of each sub-item into a preset table to obtain an estimated simulation group price table. Meanwhile, the deviation condition between the estimated manufacturing cost and the preset limit is displayed in different colors in the table of the estimated simulation group price, so that the difference points can be conveniently positioned.
It should be noted that, after the exploratable estimation simulation group price of the power transmission and transformation project to be estimated is obtained, the obtained value is also stored in the database as historical data, so that a historical data sample base is enriched.
Preferably, data storage is performed in a database by taking different electric transmission and transformation projects as units, that is, data of a plurality of electric transmission and transformation projects are stored, and project technical parameters (such as project profiles, installation project information, building project information and the like) of the electric transmission and transformation projects are also extracted as identifiers of the electric transmission and transformation projects. After the simulation of the exploitable estimation group price of the estimated power transmission and transformation project is completed, similar historical power transmission and transformation projects can be searched from the database for comparison. The method specifically comprises the following steps:
step one, storing historical power transmission and transformation project exploratable estimation simulation group price in a database;
step two, searching historical power transmission and transformation projects in a database to be matched with the power transmission and transformation projects to be estimated, and obtaining the similarity between the power transmission and transformation projects to be estimated and each historical power transmission and transformation project;
extracting an exploratable estimation simulation group price of the corresponding historical power transmission and transformation project with the similarity exceeding the preset similarity;
and step four, comparing and displaying the extracted grindable estimation simulation group price of the historical power transmission and transformation project with the grindable estimation simulation group price of the power transmission and transformation project to be estimated.
And searching historical power transmission and transformation projects in a database according to the engineering technical parameters to match with the power transmission and transformation projects to be estimated, wherein the higher the similarity of the engineering technical parameters is, the higher the similarity between the projects is.
Through the comparison and display of the project group price, the abnormal point can be quickly positioned, and the estimation accuracy is improved.
Example two
As shown in fig. 2, the present embodiment provides a device for generating a simulated group price for power transmission and transformation engineering, which can be used to implement the technical solution of the first embodiment of the present invention.
The history data acquisition module 101: acquiring historical data of a power transmission and transformation project;
the parameter saving module 102: dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database;
the item division module 103: dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
the item matching module 104: matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm;
group price acquisition module 105: and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated.
The neural network algorithm adopted by the item matching module 104 is a particle swarm algorithm. The estimated cost of the target function of the particle swarm algorithm as a sub item is the lowest; the constraint conditions of the particle swarm optimization comprise: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The above disclosure is only for the preferred embodiments of the present invention, but the present invention is not limited thereto, and any non-inventive changes that can be made by those skilled in the art and several modifications and amendments made without departing from the principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A power transmission and transformation project researched estimation simulation group price method is characterized by comprising the following steps:
acquiring historical data of a power transmission and transformation project;
dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database;
dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm;
and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated.
2. The power transmission and transformation project exploitable estimation simulation pricing method of claim 1, wherein the neural network algorithm is a particle swarm algorithm.
3. The power transmission and transformation project researched estimation simulation group price method according to claim 2, wherein the objective function of the particle swarm algorithm is the lowest estimated cost of the sub-project; the constraint conditions of the particle swarm optimization comprise: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval.
4. The power transmission and transformation project exploratable estimation simulation pricing method according to claim 1, 2 or 3, characterized in that matching is performed manually if sub-project matching is not successful.
5. The method of claim 4, further comprising the step of,
and filling the obtained estimated cost details of each sub-item into a preset table to obtain an estimable simulated group price table.
6. The method of claim 5, further comprising the step of,
the deviation between the estimated cost and the preset limit is displayed in different colors in the table of the estimated group price.
7. The method of claim 1, 2, 3, 5 or 6, further comprising,
storing the historical power transmission and transformation project exploratable estimation simulation group price in a database;
searching historical power transmission and transformation projects in a database to be matched with the power transmission and transformation projects to be estimated, and obtaining the similarity between the power transmission and transformation projects to be estimated and each historical power transmission and transformation project;
extracting an exploratable estimation simulation group price of the corresponding historical power transmission and transformation project with the similarity exceeding the preset similarity;
and comparing and displaying the extracted grindable estimation simulation group price of the historical power transmission and transformation project with the grindable estimation simulation group price of the power transmission and transformation project to be estimated.
8. The method of claim 7, wherein the historical transmission and transformation project is searched in a database according to the project technical parameters and matched with the transmission and transformation project to be estimated.
9. A simulation pricing device for power transmission and transformation project capable of being researched and estimated is characterized by comprising,
a historical data acquisition module: acquiring historical data of a power transmission and transformation project;
a parameter storage module: dividing a plurality of types of projects according to historical data based on standard specifications, and storing the various projects, project technical parameters corresponding to the various projects and historical manufacturing cost in a database;
a project partitioning module: dividing the power transmission and transformation project to be estimated into a plurality of sub-projects based on standard specifications;
an item matching module: matching the item types in the database for each sub-item based on the item technical parameters by adopting a neural network algorithm;
a group price obtaining module: and obtaining the estimated cost of each sub-project according to the matching result, and further summing to obtain an exploratable estimated simulation group price of the power transmission and transformation project to be estimated.
10. The power transmission and transformation project researched estimation simulation team price apparatus according to claim 9, wherein the project matching module adopts a neural network algorithm as a particle swarm algorithm;
the estimated cost of the target function of the particle swarm algorithm as a sub item is the lowest; the constraint conditions of the particle swarm optimization comprise: the estimated cost does not exceed the preset limit, and each project technical parameter is controlled in a preset variation interval.
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