CN116228334A - Prediction method and prediction device for power transmission and transformation project cost - Google Patents
Prediction method and prediction device for power transmission and transformation project cost Download PDFInfo
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Abstract
The invention provides a prediction method and a prediction device for power transmission and transformation project cost, wherein the method comprises the following steps: screening a historical engineering matched with a power transmission and transformation engineering to be predicted from an engineering database, and acquiring a primary setting approximate calculation stage cost file of the historical engineering; correcting the cost file of the initial approximate calculation stage according to the current market price to generate a predicted initial result; obtaining influence factors corresponding to different landform information, respectively weighting historical cost data of power transmission and transformation projects of different project types, and generating a weighting result; correcting the initial prediction result according to the influence factors to obtain cost prediction integration data; and comparing and analyzing the weighted result with the cost prediction integrated data to obtain the cost to be predicted. According to the invention, the cost of the power transmission and transformation project is dynamically predicted according to the historical project investment price and the programming market price, the prediction of the cost of the power transmission and transformation project can be rapidly completed, and the prediction result is closer to the current price.
Description
Technical Field
The invention relates to the technical field of power transmission and transformation project, in particular to a prediction method and a prediction device for power transmission and transformation project cost.
Background
The power transmission and transformation project is a generic term of power transmission line construction and transformer installation project, and the higher the voltage level of the power transmission and transformation project is, the larger the power transmitted is, the smaller the loss is, and the longer the transmission distance is. The construction of the power transmission and transformation project has the characteristics of large investment, long input and output period and the like, and the construction cost management and control of the power transmission and transformation project is achieved by reasonably utilizing the electric power project investment, so that the power transmission and transformation project has become a popular subject for the research of experts and scholars in various fields at present.
The unit capacity cost in the power transformation project and the unit length cost in the power transmission project are the main technical and economic indexes of the two investors and the construction unit, and are also the core indexes for the management and control of the power transmission and transformation project cost. Therefore, an ideal prediction method is urgently needed by the investors and construction units, and the main technical economic indexes of the newly built electric power engineering can be rapidly predicted by using the historical cost data of the built engineering, so that a construction scheme can be reasonably formulated, initiative time is strived for electric power engineering construction, the examination efficiency of project fund investment and the project quality are improved, and the cost of the new electric power construction engineering is guided.
In the related art, prediction of the construction cost of power transmission and transformation projects mainly depends on actual analysis and operation of technicians who have years of practical experience in the field, but the construction cost of power grid projects is a problem of multiple variables and high nonlinearity, and particularly when the project conditions are complex and changeable, it is difficult to obtain a reliable result of a single project through empirical estimation so as to guide the control of the construction cost. In addition, the construction cost of the power transmission and transformation project can be stirred to a certain extent due to the influence of market price of materials, the influence of irresistible factors such as environment and the like, larger errors are necessarily caused by the scheme, the situation that budget is greatly exceeded easily occurs, and adverse effects are generated on post bid-bidding tasks and construction processes.
Disclosure of Invention
The invention aims to solve the technical problems, and a first object of the invention is to provide a prediction method for power transmission and transformation project cost.
The second object of the invention is to provide a prediction device for the construction cost of power transmission and transformation projects.
The technical scheme adopted by the invention is as follows:
the embodiment of the first aspect of the invention provides a prediction method for power transmission and transformation project cost, which comprises the following steps: creating a predicted demand, and filling engineering information of a power transmission and transformation project to be predicted in the predicted demand, wherein the predicted engineering information comprises: predicting project names, project types, project properties, operators, creation time, project characteristic indexes and project scales; screening historical projects matched with the power transmission and transformation project to be predicted from a project database according to the project characteristic indexes and the project scale, and obtaining an initial approximate calculation stage cost file of the historical projects; correcting the cost file of the initial approximate calculation stage of the historical engineering according to the current market price of the man-machine to generate a predicted initial result, wherein the predicted initial result comprises the following components: construction engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, loan interest in construction period and engineering dynamic investment; acquiring historical cost data and topography information of a power transmission and transformation project in a region where the power transmission and transformation project to be predicted is located; analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the area of the power transmission and transformation project to be predicted, and generating a weighting result; correcting the initial prediction result according to the influence factors corresponding to the different landform information to obtain cost prediction integration data; and comparing and analyzing the weighted result with the cost prediction integrated data to obtain the predicted cost of the power transmission and transformation project to be predicted.
The prediction method of the power transmission and transformation project cost provided by the invention can also have the following additional technical characteristics:
according to one embodiment of the invention, the preliminary approximate stage cost file is a preliminary approximate stage cost file within approximately five years of the historical engineering.
According to one embodiment of the present invention, the engineering characteristic index includes: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
According to one embodiment of the invention, the historical cost data of the power transmission and transformation project is cost data of the power transmission and transformation project in nearly five years.
According to one embodiment of the present invention, the topographical information includes: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size.
An embodiment of a second aspect of the present invention provides a prediction apparatus for power transmission and transformation project cost, including: the system comprises a creating module, a prediction module and a control module, wherein the creating module is used for creating a prediction demand and filling engineering information of a power transmission and transformation project to be predicted in the prediction demand, and the prediction engineering information comprises: predicting project names, project types, project properties, operators, creation time, project characteristic indexes and project scales; the first acquisition module is used for screening historical projects matched with the power transmission and transformation projects to be predicted from a project database according to the project characteristic indexes and the project scale, and acquiring a preliminary approximate calculation stage cost file of the historical projects; the first correction module is used for correcting the cost file of the initial approximate calculation stage of the historical engineering according to the current market price of the man-machine so as to generate a predicted initial result, wherein the predicted initial result comprises: construction engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, loan interest in construction period and engineering dynamic investment; the second acquisition module is used for acquiring historical cost data and topographical information of power transmission and transformation projects in the region of the power transmission and transformation project to be predicted; the preprocessing module is used for analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the region where the power transmission and transformation project is to be predicted, and generating a weighting result; the second correction module is used for correcting the initial prediction result according to the influence factors corresponding to the different landform and landform information to obtain cost prediction integration data; and the third acquisition module is used for comparing and analyzing the weighted result with the cost prediction integrated data so as to acquire the predicted cost of the power transmission and transformation project to be predicted.
The prediction device for the power transmission and transformation project cost provided by the invention can also have the following additional technical characteristics:
according to one embodiment of the invention, the preliminary approximate stage cost file is a preliminary approximate stage cost file within approximately five years of the historical engineering.
According to one embodiment of the present invention, the engineering characteristic index includes: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
According to one embodiment of the invention, the historical cost data of the power transmission and transformation project is cost data of the power transmission and transformation project in nearly five years.
According to one embodiment of the present invention, the topographical information includes: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size.
The invention has the beneficial effects that:
according to the invention, the cost of the power transmission and transformation project is dynamically predicted according to the historical project investment price and the market price in the prediction period, the prediction of the cost of the power transmission and transformation project can be rapidly completed under the condition of preliminarily knowing the main technical parameters of the power transmission and transformation project, and the prediction result is closer to the current actual cost, so that the power transmission and transformation project has good economic and social benefits.
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FIG. 1 is a flow chart of a method of predicting power transmission and transformation project costs in accordance with one embodiment of the present invention;
fig. 2 is a block diagram schematically illustrating a prediction apparatus for power transmission and transformation engineering costs according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flowchart of a method of predicting power transmission and transformation project costs according to one embodiment of the present invention.
As shown in fig. 1, the method comprises the steps of:
s1, creating a predicted demand, filling engineering information of a power transmission and transformation project to be predicted in the predicted demand, wherein the predicted engineering information comprises: project name, project type, project nature, operator, creation time, project characteristic index, and project scale are predicted.
S2, screening historical projects matched with the power transmission and transformation projects to be predicted from a project database according to project characteristic indexes and project scales, and obtaining a primary approximate calculation stage cost file of the historical projects.
In one embodiment of the present invention, the engineering characteristic index includes: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
The initial approximate stage cost file is the initial approximate stage cost file in the last five years of the history engineering.
Specifically, historical projects with large similarity to project characteristic indexes and project scales of the power transmission and transformation projects to be predicted are screened from a project database, and initial approximate stage cost files of the historical projects are extracted.
S3, correcting a cost file of an initial set approximate calculation stage of the historical engineering according to the current market price of the man-machine to generate a predicted initial result, wherein the predicted initial result of the cost comprises: building engineering fees, equipment purchase fees, installation engineering fees, engineering static investments, loan interest in construction period and engineering dynamic investments.
Wherein in one embodiment of the invention, the cost prediction initial result comprises: building engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, setting period loan interest, engineering dynamic investment and the like.
Specifically, the man-machine mainly includes: the construction labor cost, the material cost and the mechanical cost are calculated again according to the current market price of the power transmission and transformation engineering man-machine to be predicted, the cost file of the initial approximate calculation stage of the history engineering obtained in the step S2 is calculated again, the artificial and construction expendable materials and the engineering main materials are adjusted according to the current market price to generate the prediction initial result,
and S4, acquiring historical cost data and topography information of the power transmission and transformation project in the region where the power transmission and transformation project to be predicted is located.
Wherein the shape and topography information includes: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size. The historical cost data of the power transmission and transformation project is the cost data of the power transmission and transformation project in the last five years.
Specifically, the area of the preset range taking the predicted power transmission and transformation project as the center is selected in the area of the predicted power transmission and transformation project, and the size of the area is selected according to actual conditions. And acquiring historical cost data of other power transmission and transformation projects in the region where the power transmission and transformation project to be predicted is located, and other topographic and geomorphic information corresponding to the power transmission and transformation project.
S5, analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the area where the power transmission and transformation project is to be predicted, and generating a weighting result.
Specifically, according to the historical cost data of the power transmission and transformation project and the corresponding topographic and geomorphic information of the power transmission and transformation project in the region where the power transmission and transformation project to be predicted is located, which are extracted in the step S4, the influence of different topographic and geomorphic features on the cost data is analyzed, and an influence factor is extracted, for example, if the cost of the power transmission and transformation project in the topographic features is higher, the setting of the influence factor is larger. When the weighting result is generated, the weighting result is corresponding to the same type of power transmission and transformation project, the average historical cost data can be taken as the type of historical cost data, and the weighting processing can be carried out on the historical cost data of different types of power transmission and transformation projects in different types of projects in the area.
And S6, correcting the initial prediction result according to the influence factors corresponding to the different landform information to obtain the cost prediction integration data.
Specifically, the influence factor corresponding to the geomorphic information of the location of the power transmission and transformation project to be predicted may be obtained according to the influence factor extracted in S5, and the prediction initial result is corrected according to the influence factor, for example: cost prediction integration data = prediction initiation result × influencing factor, thereby obtaining cost prediction integration data.
And S7, comparing and analyzing the weighted result and the cost prediction integrated data to obtain the predicted cost of the power transmission and transformation project to be predicted.
Specifically, the weighted result generated in the step S5 is compared with the cost prediction integration data of the step S6, and the cost prediction integration data is further corrected according to the weighted result, so as to generate the predicted cost of the power transmission and transformation project to be predicted. For example, if the difference between the cost prediction integration data and the weighted result is greater than a certain value, the cost prediction integration data is adjusted to reduce the difference between the two, and the adjustment proportion or the adjustment strategy is set in advance according to the actual situation.
In summary, according to the prediction method of the power transmission and transformation project cost according to the embodiment of the invention, the cost of the power transmission and transformation project is dynamically predicted according to the historical project investment cost and the market price in the prediction period, so that the prediction of the power transmission and transformation project cost can be rapidly completed under the condition of primarily knowing the main technical parameters of the power transmission and transformation project, and the prediction result is closer to the current actual cost, thereby having good economic benefit and social benefit.
Corresponding to the above method for predicting the cost of power transmission and transformation project, the present invention also provides a device for predicting the cost of power transmission and transformation project, and since the device embodiment of the present invention corresponds to the above method embodiment, details not disclosed in the method embodiment can refer to the above method embodiment, and details in the present invention will not be repeated.
Fig. 2 is a block schematic diagram of a prediction apparatus for power transmission and transformation engineering costs according to an embodiment of the present invention, as shown in fig. 2, the apparatus includes: a creation module 1, a first acquisition module 2, a first modification module 3, a second acquisition module 4, a preprocessing module 5, a second modification module 6 and a third acquisition module 7.
The creating module 1 is configured to create a predicted demand, and fill in engineering information of a power transmission and transformation project to be predicted in the predicted demand, where the predicted engineering information includes: predicting project names, project types, project properties, operators, creation time, project characteristic indexes and project scales;
the first acquisition module 2 is used for screening historical projects matched with the power transmission and transformation projects to be predicted from the project database according to project characteristic indexes and project scales, and acquiring a preliminary set approximate calculation stage cost file of the historical projects; the first correction module 3 is configured to correct a cost file in an initial approximate calculation stage of a historical engineering according to a current market price of a man-machine, so as to generate a predicted initial result, where the predicted initial result includes: construction engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, loan interest in construction period and engineering dynamic investment; the second acquisition module 4 is used for acquiring historical cost data and topography information of the power transmission and transformation project in the region where the power transmission and transformation project to be predicted is located; the preprocessing module 5 is used for analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the region of the power transmission and transformation project to be predicted, and generating a weighting result; the second correction module 6 is used for correcting the initial prediction result according to the influence factors corresponding to the different landform and landform information to obtain cost prediction integration data; the third obtaining module 7 is configured to compare and analyze the weighted result with the cost prediction integrated data, so as to obtain a predicted cost of the power transmission and transformation project to be predicted.
According to one embodiment of the invention, the initial approximate stage cost file is an initial approximate stage cost file within approximately five years of the historical engineering.
According to one embodiment of the invention, the engineering characteristic index comprises: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
According to one embodiment of the invention, the historical cost data for the power transmission and transformation project is cost data for the power transmission and transformation project over the last five years.
According to one embodiment of the present invention, the topography information includes: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size.
In summary, according to the prediction device for the power transmission and transformation project cost according to the embodiment of the invention, the cost of the power transmission and transformation project is dynamically predicted according to the historical project investment cost and the market price in the prediction period, so that the prediction of the power transmission and transformation project cost can be rapidly completed under the condition that the main technical parameters of the power transmission and transformation project are primarily known, and the prediction result is closer to the current actual cost, thereby having good economic benefit and social benefit.
In the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The meaning of "a plurality of" is two or more, unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some 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 present invention. In this specification, schematic representations of the above terms are not necessarily for 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. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some 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 present invention. In this specification, schematic representations of the above terms are not necessarily directed 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. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing 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). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may 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 is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The prediction method of the power transmission and transformation project cost is characterized by comprising the following steps:
creating a predicted demand, and filling engineering information of a power transmission and transformation project to be predicted in the predicted demand, wherein the predicted engineering information comprises: predicting project names, project types, project properties, operators, creation time, project characteristic indexes and project scales;
screening historical projects matched with the power transmission and transformation project to be predicted from a project database according to the project characteristic indexes and the project scale, and obtaining an initial approximate calculation stage cost file of the historical projects;
correcting the cost file of the initial approximate calculation stage of the historical engineering according to the current market price of the man-machine to generate a predicted initial result, wherein the predicted initial result comprises the following components: building engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, loan interest in construction period and engineering dynamic investment;
acquiring historical cost data and topography information of a power transmission and transformation project in a region where the power transmission and transformation project to be predicted is located;
analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the area where the power transmission and transformation project is to be predicted, and generating a weighting result;
correcting the initial prediction result according to the influence factors corresponding to the different landform information to obtain cost prediction integration data;
and comparing and analyzing the weighted result with the cost prediction integrated data to obtain the predicted cost of the power transmission and transformation project to be predicted.
2. The method according to claim 1, wherein the initial estimated stage cost file is an initial estimated stage cost file within about five years of the history project.
3. The method for predicting power transmission and transformation project cost according to claim 1, wherein the project characteristic index comprises: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
4. The method for predicting the cost of a power transmission and transformation project according to claim 1, wherein the historical cost data of the power transmission and transformation project is cost data of the power transmission and transformation project within nearly five years.
5. The method for predicting power transmission and transformation project cost according to claim 1, wherein the shape and topography information comprises: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size.
6. The prediction device for the power transmission and transformation project cost is characterized by comprising the following components:
the system comprises a creating module, a prediction module and a control module, wherein the creating module is used for creating a prediction demand and filling engineering information of a power transmission and transformation project to be predicted in the prediction demand, and the prediction engineering information comprises: predicting project names, project types, project properties, operators, creation time, project characteristic indexes and project scales;
the first acquisition module is used for screening historical projects matched with the power transmission and transformation projects to be predicted from a project database according to the project characteristic indexes and the project scale, and acquiring a preliminary approximate calculation stage cost file of the historical projects;
the first correction module is used for correcting the cost file of the initial approximate calculation stage of the historical engineering according to the current market price of the man-machine so as to generate a predicted initial result, wherein the predicted initial result comprises: construction engineering fees, equipment purchase fees, installation engineering fees, engineering static investment, loan interest in construction period and engineering dynamic investment;
the second acquisition module is used for acquiring historical cost data and topographical information of power transmission and transformation projects in the region of the power transmission and transformation project to be predicted;
the preprocessing module is used for analyzing the historical cost data and the topographic and geomorphic information to obtain influence factors corresponding to different topographic and geomorphic information, respectively weighting the historical cost data of the power transmission and transformation projects of different project types in the area where the power transmission and transformation project to be predicted is located, and generating a weighting result;
the second correction module is used for correcting the initial prediction result according to the influence factors corresponding to the different landform and landform information to obtain cost prediction integration data;
and the third acquisition module is used for comparing and analyzing the weighted result with the cost prediction integrated data so as to acquire the predicted cost of the power transmission and transformation project to be predicted.
7. The power transmission and transformation project cost prediction apparatus according to claim 6, wherein the initial estimated stage cost file is an initial estimated stage cost file within about five years of the history project.
8. The power transmission and transformation project cost prediction device according to claim 6, wherein the project characteristic index comprises: voltage class, intellectualization, altitude, main transformer unit price, main transformer unit capacity, main transformer number, control cable length, control cable unit price, power cable length, power cable unit price, breaker number, capacitor type, breaker unit price, total station area, main control building area, incoming road length, steel amount, concrete amount.
9. The power transmission and transformation project cost prediction device according to claim 6, wherein the historical cost data of the power transmission and transformation project is cost data of the power transmission and transformation project within nearly five years.
10. The prediction apparatus for power transmission and transformation project cost according to claim 6, wherein the topography information includes: altitude, topography type, soil quality condition, and climate type, wherein the climate type comprises: precipitation in nearly five years and average annual wind force size.
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Effective date of registration: 20230712 Address after: No.27, junqian street, Changzhou City, Jiangsu Province, 213000 Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. CHANGZHOU POWER SUPPLY BRANCH Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. Applicant after: STATE GRID CORPORATION OF CHINA Applicant after: Changzhou Changgong Electric Power Design Institute Co.,Ltd. Address before: No.27, junqian street, Changzhou City, Jiangsu Province, 213000 Applicant before: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. CHANGZHOU POWER SUPPLY BRANCH Applicant before: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. Applicant before: STATE GRID CORPORATION OF CHINA |