CN116451500B - Construction method and system of land wind power project cost automatic calculation model - Google Patents
Construction method and system of land wind power project cost automatic calculation model Download PDFInfo
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Abstract
The invention provides a construction method and a construction system of an automatic calculation model for land wind power project cost, wherein the construction method comprises the following steps: building a three-dimensional dynamic plan construction part model of each division period; obtaining initialization process information quantity and initialization price information quantity; determining a price change curve of each initialization price information quantity in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period and determining an application value of each initialization price information quantity in a corresponding predicted application period; constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information in each prediction application period; the construction method is used for generating the land wind power project cost automatic calculation model which can accurately consider the variation trend of the price information in the wind power project construction process.
Description
Technical Field
The invention relates to the technical field of wind power engineering cost, in particular to a construction method and a construction system of an automatic calculation model for land wind power project cost.
Background
Currently, for self-built wind projects: in competitive bidding quotation stage, macroscopic site selection stage, early working stand, feasibility research stage and preliminary design stage, cost evaluation is carried out to calculate the financial yield level of the project; for the parallel purchase of wind power projects: and carrying out cost evaluation in the negotiation stage of the acquisition price so as to judge whether the quotation is reasonable. In the prior art, relevant power plant parameters (project scale, geographic position, altitude, fan model, earthquake motion parameters and the like) are input through an execl table, basic data (unit price, engineering quantity and the like) are configured, and the engineering cost is calculated through formula configuration.
However, in terms of wind power project cost evaluation, detailed investigation and design data are often lacking in resource evaluation, stand and bidding stages, and early cost evaluation accuracy is lacking, especially the construction period of a wind power project is long in duration, and the price information amount designed in the cost project can be greatly changed during construction because early cost evaluation accuracy is low and reference value is low.
Therefore, the invention provides a construction method and a construction system of an automatic calculation model for land wind power project cost.
Disclosure of Invention
The invention provides a construction method and a construction system of an automatic calculation model of land wind power project cost, which are used for generating a construction method of the automatic calculation model of land wind power project cost, wherein the construction method can accurately consider the variation trend of price information in the wind power project construction process.
The invention provides a construction method of an automatic calculation model for land wind power project cost, which comprises the following steps:
s1: constructing a three-dimensional dynamic plan construction part model of each divided construction period based on the construction plan of the land wind power project;
s2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
s3: determining a price change curve of each initialization price information in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information in a corresponding predicted application period based on the price change curve;
s4: and constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information in each prediction application period.
Preferably, the construction method of the land wind power project cost automation calculation model comprises the following steps of S1: based on the construction plan of the land wind power project, a three-dimensional dynamic plan construction part model of each divided construction period is built, and the method comprises the following steps:
constructing a three-dimensional dynamic plan construction model based on a construction plan of a land wind power project;
performing construction period division on the construction plan based on the three-dimensional dynamic plan construction model to obtain construction period division results;
and carrying out time sequence division on the three-dimensional dynamic plan construction model based on the construction period division result to obtain a three-dimensional dynamic plan construction part model of each division construction period.
Preferably, the construction method of the land wind power project cost automation calculation model carries out construction period division on a construction plan based on a three-dimensional dynamic plan construction model to obtain construction period division results, and the construction period division results comprise the following steps:
determining the total construction area range based on the three-dimensional dynamic plan construction model;
determining unit construction time based on a construction plan, and determining a real-time construction area range in each unit construction time based on a three-dimensional dynamic plan construction model;
determining the central positions of the communication areas of all the real-time construction area ranges, and fitting the total number of the communication areas contained in all the real-time construction area ranges according to the sequence of unit construction time to obtain an area total number change curve;
Fitting the central position of any communication area in each real-time construction area range according to the sequence of unit construction time to obtain a plurality of real-time movement tracks;
taking the total area change curve and the limit between the unit construction time of sudden change in all real-time movement tracks and the unit construction time of the adjacent last unit as a first construction period dividing limit;
and carrying out construction period division on the construction plan based on the first construction period division boundary line to obtain a construction period division result.
Preferably, the construction method of the land wind power project cost automation calculation model performs construction period division on the construction plan based on a first construction period division boundary line to obtain a construction period division result, and the construction period division method comprises the following steps:
performing primary construction period division on the construction plan based on the first construction period division limit to obtain a plurality of primary division construction periods;
determining the initial unit construction time and the final unit construction time in each primary dividing work period;
taking the central position of the communication area of the real-time construction area range corresponding to the initial unit construction time as a vector starting point, taking the central position of the communication area of the real-time construction area range corresponding to the termination unit construction time as a vector termination point, and generating a corresponding construction range movement vector based on all vector starting points and all vector termination points of the primary division construction period;
Calculating the deviation ratio of the construction range moving vector of each primary dividing period relative to all construction range moving vectors, carrying out exhaustive dividing on the construction range moving vectors exceeding the preset deviation ratio to obtain a plurality of new construction range moving vectors corresponding to the primary dividing period, and summarizing each new construction range moving vector and the construction range moving vector which is determined last time and does not exceed the preset deviation ratio to obtain a construction range moving vector set corresponding to each new construction range moving vector;
obtaining a re-dividing construction period corresponding to the primary dividing construction period based on all new construction range movement vectors and a construction range movement vector set corresponding to all the primary dividing construction periods exceeding a preset deviation ratio;
summarizing all the primary division periods which do not exceed the preset deviation ratio and the secondary division periods of all the primary division periods which exceed the preset deviation ratio, and obtaining a period division result.
Preferably, the construction method of the land wind power project cost automation calculation model obtains a re-dividing construction period corresponding to the primary dividing construction period based on all new construction range movement vectors and construction range movement vector sets corresponding to all the primary dividing construction periods exceeding a preset deviation ratio, and the construction method comprises the following steps:
Calculating the deviation ratio of each new construction range moving vector determined at the present time relative to the corresponding new construction range moving vector set;
when the construction range motion vector smaller than the previous determined deviation exists in all the new construction range motion vectors determined at this time, the construction range motion vector smaller than the previous determined deviation continues to be divided in an exhaustive manner until the construction range motion vector smaller than the previous determined deviation does not exist in all the new construction range motion vectors determined at present, the division is stopped, and the re-division construction period corresponding to the primary division construction period is obtained based on all the division processes of the primary division construction period last time and before.
Preferably, the construction method of the land wind power project cost automation calculation model comprises the following steps of S2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity, comprising the following steps:
carrying out procedural processing on sub-construction plans corresponding to each division period in the construction plans of the land wind power projects to obtain a construction flow of each division period;
Analyzing the construction flow, and determining the engineering information quantity and the price information quantity related to the corresponding construction flow;
initializing engineering information quantity related to a construction flow corresponding to all division periods of the land wind power project based on a preset industry standard to obtain initialized engineering information quantity;
and initializing the price information quantity related to the construction flow corresponding to all the division periods of the land wind power project based on the current price unit of each price information quantity, and obtaining the initialized price information quantity.
Preferably, the construction method of the land wind power project cost automation calculation model comprises the following steps of S3: determining a price change curve of each initialization price information amount in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information amount in a corresponding predicted application period based on the price change curve, wherein the method comprises the following steps:
determining a predicted application period of the initialized price information based on the three-dimensional dynamic plan construction part model of each divided construction period;
carrying out fluctuation prediction on the initialized price information quantity of the land wind power project to obtain a price fluctuation curve of each initialized price information quantity in a prediction application period;
And determining the application value of each initialization price information amount in the corresponding prediction application period based on the price change curves of all the initialization price information amounts in the corresponding prediction application period.
Preferably, the construction method of the automatic calculation model for land wind power project cost carries out fluctuation prediction on the initialized price information quantity of the land wind power project to obtain a price fluctuation curve of each initialized price information quantity in a prediction application period, and the construction method comprises the following steps:
performing periodic division on a first historical variation curve of all influence information amounts of each initialized price information amount to obtain a periodic division boundary of each influence information amount;
performing simultaneous period division based on the period division boundary lines of all the influence information amounts of each initialization price information amount and the first history change curves of all the influence information amounts of the corresponding initialization price information amounts, and obtaining partial history change curve combinations of a plurality of history periods;
performing period division on a second historical change curve of the initialized price information quantity of the land wind power project based on partial historical change curve combinations of all the historical periods to obtain change curves of a plurality of historical periods;
Determining a first quantitative relation between the corresponding initialized price information quantity and all the influence information quantities in the corresponding history period based on the partial history change curve combination and the change curve in each history period;
determining a final quantity relation between the corresponding initialized price information quantity and all the influence information quantities based on the first quantity relation of all the history periods;
and determining a price change curve of the corresponding initialization price information quantity in the forecast application period based on the numerical value change range and the final quantity relation of all the influence information quantity in the forecast application period.
Preferably, the construction method of the land wind power project cost automation calculation model comprises the following steps of S4: constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period, comprising:
determining the construction cost automation calculation logic and engineering properties of the land wind power project based on the construction plan;
determining a calculation coefficient in an automatic calculation logic algorithm logic based on the engineering attribute;
constructing a cost automation calculation model frame of the onshore wind power project based on the cost automation calculation logic and the calculation coefficient;
And constructing a cost automation calculation model of the land wind power project based on the application value of the initial engineering information quantity and each initial price information quantity in each predicted application period and the cost automation calculation model frame.
The invention provides a construction system of an automatic calculation model for land wind power project cost, which comprises:
the three-dimensional model building module is used for building a three-dimensional dynamic plan construction part model of each division period based on the construction plan of the land wind power project;
the information quantity initializing module is used for initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
the price determining module is used for determining the application value of each initialized price information amount in the corresponding predicted application period based on the price change curve of each initialized price information amount of the land wind power project in the predicted application period;
the calculation model building module is used for constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a construction method of an automatic calculation model for land wind power project cost in an embodiment of the invention;
FIG. 2 is a schematic diagram of an automated calculation model for land wind project cost in an embodiment of the invention;
FIG. 3 is a schematic diagram of a construction system of an automated computation model for manufacturing costs of land wind power projects in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides a construction method of an automatic calculation model for land wind power project manufacturing cost, which comprises the following steps of:
s1: constructing a three-dimensional dynamic plan construction part model of each divided construction period based on the construction plan of the land wind power project;
s2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
s3: determining a price change curve of each initialization price information in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information in a corresponding predicted application period based on the price change curve;
s4: and constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information in each prediction application period.
In this embodiment, the land wind power project cost automation calculation model is a model for automatically completing cost calculation of a land wind power project, and is a model which is packaged by a relational expression using a plurality of initialization engineering amounts and a plurality of initialization price information amounts as unknowns and a final target cost calculation value (which is different depending on a cost calculation target value, such as an engineering total cost, an engineering building main material cost, an equipment cost, and an installation cost) as a known amount.
In this embodiment, the onshore wind project is the whole facility for obtaining electricity by utilizing wind on land.
In this embodiment, the construction plan is the plan information including the planned total construction period, the planned construction sequence, and the construction progress of the onshore wind project.
In this embodiment, the dividing period is a period divided by the total duration period of the construction plan.
In this embodiment, the three-dimensional dynamic plan construction part model is a model of three-dimensional change conditions of the physical engineering building including the wind power projects in a single division period determined based on the construction plan.
In this embodiment, the engineering information amount is the information amount related to the wind power project engineering stored in the engineering amount library in fig. 3, for example: the information quantity of the tower drum, the matched electricity of the wind turbine, the current collecting circuit, the fan grounding, the wind turbine and transformer foundation engineering, the wind turbine installation platform engineering, the traffic engineering, the boosting transformer substation electricity and the like.
In this embodiment, the price information amount is the information amount related to wind power project engineering stored in the unit price library in fig. 3, for example: information amounts such as various equipment prices, various main material prices, installation engineering unit price, construction auxiliary engineering unit price, and other engineering unit price.
In this embodiment, the initialized engineering information amount is the initialized engineering information amount, and the initialization is to set the engineering information amount according to industry standards.
In this embodiment, the initialized price information amount is the initialized price information amount, where the initialization is to set each unit of unit price according to the current market quotation, and the later stage can be adjusted correspondingly according to the market quotation fluctuation.
In this embodiment, the predicted application period is the time that the initial price information amount predicted based on the construction plan is used in the total construction process of the onshore wind power project, for example, the unit price of the equipment is required in the equipment construction process.
In this embodiment, the price change curve is a curve of the predicted change value of the initialized price information amount with time in the prediction application period.
In this embodiment, the application value is the actual value of the predicted initialization price information amount when the application period is predicted.
In this embodiment, the automated calculation logic is a calculation logic for calculating a final target cost calculation value (which is different according to the cost calculation target value, such as total engineering cost, main engineering building material cost, equipment cost, and installation cost) to be calculated currently based on the value of the engineering information amount and the value of the price information amount.
In this embodiment, the engineering attribute is a personalized parameter related to wind power project construction, such as a geological parameter including flatness of a building site and geological conditions.
In this embodiment, the cost automation calculation model is a model that is constructed based on a construction method of a land wind power project cost automation calculation model in this embodiment and can automatically calculate a final target cost calculation value of a land wind power project, and the result of automatic calculation of the land wind power project cost automation calculation model generated in this embodiment in an initial state is a final target cost calculation value (i.e., a numerical value in a technical economic index general table or an engineering general table in fig. 3) determined based on an initial engineering information amount and an application value of each initial price information amount in each predicted application period, and then the cost automation calculation of the land wind power project can also be implemented by adjusting input amounts (i.e., engineering information amounts and price information amounts) of the model.
The beneficial effects of the technology are as follows: based on personalized division of construction plans of land wind power projects, construction of a three-dimensional construction model, initialization of information quantity and personalized variation prediction of the information quantity, a personalized construction method capable of constructing a land wind power project cost automatic calculation model accurately considering variation trend of price information quantity in the construction process of the wind power projects is generated, an accurate cost automatic calculation model can be generated based on construction plans of the land wind power projects in a personalized mode, corresponding cost calculation results are determined, accuracy of cost automatic calculation is improved, cost of cost calculation is reduced, and reference value of cost calculation results is higher.
Example 2:
on the basis of the embodiment 1, the construction method of the land wind power project cost automation calculation model comprises the following steps of S1: based on the construction plan of the land wind power project, a three-dimensional dynamic plan construction part model of each divided construction period is built, and the method comprises the following steps:
constructing a three-dimensional dynamic plan construction model based on a construction plan of a land wind power project;
performing construction period division on the construction plan based on the three-dimensional dynamic plan construction model to obtain construction period division results;
and carrying out time sequence division on the three-dimensional dynamic plan construction model based on the construction period division result to obtain a three-dimensional dynamic plan construction part model of each division construction period.
In this embodiment, the construction period dividing result is a result obtained after the construction period is divided into construction periods based on the three-dimensional dynamic plan construction model and the construction period dividing result is obtained.
The beneficial effects of the technology are as follows: and constructing the three-dimensional dynamic plan construction model, and completing synchronous division of the three-dimensional dynamic plan construction model based on a construction period division result of the construction plan.
Example 3:
on the basis of embodiment 2, the construction method of the automatic calculation model for land wind power project cost performs construction period division on a construction plan based on a three-dimensional dynamic plan construction model, and obtains a construction period division result, which comprises the following steps:
Determining the total construction area range based on the three-dimensional dynamic plan construction model;
determining unit construction time based on a construction plan, and determining a real-time construction area range in each unit construction time based on a three-dimensional dynamic plan construction model;
determining the central positions of the communication areas of all the real-time construction area ranges, and fitting the total number of the communication areas contained in all the real-time construction area ranges according to the sequence of unit construction time to obtain an area total number change curve;
fitting the central position of any communication area in each real-time construction area range according to the sequence of unit construction time to obtain a plurality of real-time movement tracks;
taking the total area change curve and the limit between the unit construction time of sudden change in all real-time movement tracks and the unit construction time of the adjacent last unit as a first construction period dividing limit;
and carrying out construction period division on the construction plan based on the first construction period division boundary line to obtain a construction period division result.
In this embodiment, the total construction area range is the coverage area (geographical range) of the construction progress completed by the current onshore wind power project determined based on the three-dimensional dynamic plan construction model.
In this embodiment, the unit construction time may be a single day or a single month; and determining the unit construction time based on the construction plan, namely, when the total duration of the construction plan is longer, taking a single month as the unit construction time, otherwise, taking a single day as the unit construction plan.
In this embodiment, the real-time construction area range is a coverage area (geographical range) of the construction progress of the current land wind power project, which is determined based on the three-dimensional dynamic plan construction model, within a unit construction time.
In this embodiment, the total number of connected areas is the total number of connected areas included in the range of a single real-time construction area.
In this embodiment, the area total number change curve is a curve obtained by fitting the total number of connected areas included in all real-time construction area ranges according to the order of unit construction time.
In this embodiment, the real-time moving track is a track in which the center position of one communication area in each real-time construction area range moves in sequence with unit construction time.
In this embodiment, the first construction period dividing boundary is a reference for performing construction period division on the construction plan, which is determined based on the total area change curve and all real-time movement tracks.
In this embodiment, the definition of the occurrence of the abrupt change may be: corresponding to a point in the displacement track, which is seriously deviated from the moving direction of the original displacement track, for example, the starting point of the corresponding displacement track is A, the ending point is B, if a point C exists in the displacement track, the point C satisfies the following conditionAnd->When the included angle is larger than 30 degrees, the point C is the point where the sudden change occurs;
and taking the unit construction time corresponding to the outlier in the total area change curve as the unit construction time for generating the abrupt change.
The beneficial effects of the technology are as follows: the center tracking of the construction area range of unit construction time is realized based on the three-dimensional dynamic plan construction model, and further the construction period division of the construction plan is realized based on the displacement deviation of the construction area center and the dispersion degree of the construction area range in the center tracking result.
Example 4:
on the basis of embodiment 3, the construction method of the automatic calculation model for land wind power project cost performs construction period division on the construction plan based on the first construction period division boundary line, and obtains a construction period division result, including:
performing primary construction period division on the construction plan based on the first construction period division limit to obtain a plurality of primary division construction periods;
determining the initial unit construction time and the final unit construction time in each primary dividing work period;
Taking the central position of the communication area of the real-time construction area range corresponding to the initial unit construction time as a vector starting point, taking the central position of the communication area of the real-time construction area range corresponding to the termination unit construction time as a vector termination point, and generating a corresponding construction range movement vector based on all vector starting points and all vector termination points of the primary division construction period;
calculating the deviation ratio of the construction range moving vector of each primary dividing period relative to all construction range moving vectors, carrying out exhaustive dividing on the construction range moving vectors exceeding the preset deviation ratio to obtain a plurality of new construction range moving vectors corresponding to the primary dividing period, and summarizing each new construction range moving vector and the construction range moving vector which is determined last time and does not exceed the preset deviation ratio to obtain a construction range moving vector set corresponding to each new construction range moving vector;
obtaining a re-dividing construction period corresponding to the primary dividing construction period based on all new construction range movement vectors and a construction range movement vector set corresponding to all the primary dividing construction periods exceeding a preset deviation ratio;
summarizing all the primary division periods which do not exceed the preset deviation ratio and the secondary division periods of all the primary division periods which exceed the preset deviation ratio, and obtaining a period division result.
In this embodiment, the first divided construction period is a divided construction period obtained by dividing the construction plan into the first construction period based on the first construction period dividing limit.
In this embodiment, the initial unit construction time is the first unit construction time included in the first dividing operation.
In this embodiment, the termination unit construction time is the last unit construction time included in the first division period.
In this embodiment, the vector start point is the center position of the connected area of the real-time construction area range corresponding to the start unit construction time.
In this embodiment, the vector termination point is the center position of the communication area of the real-time construction area range corresponding to the termination unit construction time.
In this embodiment, the corresponding construction range movement vector is generated based on all vector start points and all vector end points of the primary partition period, which is:
and taking the vector of which each vector starting point points to the vector ending point as a corresponding construction range movement vector.
In this embodiment, the construction range movement vector is a displacement vector representing the center position of the real-time construction area range in the primary division work.
In this embodiment, calculating the deviation ratio of the construction range movement vector for each primary division period with respect to all the construction range movement vectors includes:
In θ 1 For the deviation ratio of the currently calculated construction range motion vector for the first division period with respect to all construction range motion vectors, n is the total number of all construction range motion vectors,construction range movement for a currently calculated primary partition periodVector (S)>For the ith construction range movement vector, +.>Modulo of the currently calculated construction range movement vector for the first partition period, +.>Modulo the i-th construction range motion vector, +.>For the j-th construction range motion vector remaining except the i-th construction range motion vector among all construction range motion vectors,/th construction range motion vector>Modulo the j-th construction range motion vector remaining except the i-th construction range motion vector among all construction range motion vectors,/th construction range motion vector>Namely, the construction range motion vectors which are remained in all the construction range motion vectors except the ith construction range motion vector;
based on the formula, the deviation ratio of the construction range moving vector of each primary division period relative to all the construction range moving vectors can be accurately calculated from the deviation degree between the average deviation of the construction range moving vector and other residual construction range moving vectors and the average deviation of all the construction range moving vectors.
In this embodiment, the construction range motion vector exceeding the preset deviation ratio is divided in an exhaustive manner, namely: determining construction range motion vectors of all partial construction periods contained in the primary dividing work corresponding to the construction range motion vectors exceeding a preset deviation ratio;
for example: and if the primary dividing operation corresponding to the construction range moving vector exceeding the preset deviation ratio comprises single unit construction time, the vector pointing the central position of the real-time construction area range of the first unit construction time to the central position of the real-time construction area range of the second unit construction time and the vector pointing the central position of the real-time construction area range of the second unit construction time to the central position of the real-time construction area range of the third unit construction time are taken as new construction range moving vectors after exhaustive dividing.
In this embodiment, the construction range motion vector set is a set obtained by integrating each new construction range motion vector with the construction range motion vector which is determined last time and does not exceed the preset deviation ratio.
In this embodiment, the re-dividing period is a period in which the duration obtained by continuing dividing for all the first-divided periods exceeding the preset deviation ratio is shorter.
The beneficial effects of the technology are as follows: the continuous division of the primary division construction period is realized through the comparison and calculation of the deviation degree of the construction range motion vector of the primary division construction period obtained based on the first construction period division limit, and the final construction period division result is obtained until the deviation degree of the construction range motion vector meets the preset deviation degree, so that the uniformity of the construction range motion vector in the primary division period is realized, and the accuracy of the application value of the price information quantity predicted later is also ensured.
Example 5:
based on embodiment 4, the construction method of the automatic calculation model for land wind power project cost, based on all new construction range movement vectors and construction range movement vector sets corresponding to all primary division periods exceeding a preset deviation ratio, obtains a secondary division period corresponding to the primary division period, includes:
calculating the deviation ratio of each new construction range moving vector determined at the present time relative to the corresponding new construction range moving vector set;
when the construction range motion vector smaller than the previous determined deviation exists in all the new construction range motion vectors determined at this time, the construction range motion vector smaller than the previous determined deviation continues to be divided in an exhaustive manner until the construction range motion vector smaller than the previous determined deviation does not exist in all the new construction range motion vectors determined at present, the division is stopped, and the re-division construction period corresponding to the primary division construction period is obtained based on all the division processes of the primary division construction period last time and before.
In this embodiment, the formula adopted when calculating the deviation ratio of each new construction range motion vector determined this time with respect to the corresponding new construction range motion vector set is identical to the formula for calculating the deviation ratio in the previous time.
In this embodiment, based on all the dividing processes of the corresponding primary dividing period last and before, the re-dividing period corresponding to the primary dividing period is obtained, which is:
and taking the dividing construction period obtained after the last time of dividing the corresponding primary dividing construction period as the re-dividing construction period of the corresponding primary dividing construction period.
The beneficial effects of the technology are as follows: based on the deviation ratio of the new construction range moving vector determined after each division relative to the corresponding new construction range moving vector set, the continuous division of the primary division period is realized until the deviation of the corresponding construction range moving vector is smaller, namely, the secondary division of the primary division period is realized by taking the uniformity of the construction range moving vector in the primary division period as the target.
Example 6:
on the basis of the embodiment 1, the construction method of the land wind power project cost automation calculation model comprises the following steps of S2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity, comprising the following steps:
Carrying out procedural processing on sub-construction plans corresponding to each division period in the construction plans of the land wind power projects to obtain a construction flow of each division period;
analyzing the construction flow, and determining the engineering information quantity and the price information quantity related to the corresponding construction flow;
initializing engineering information quantity related to a construction flow corresponding to all division periods of the land wind power project based on a preset industry standard to obtain initialized engineering information quantity;
and initializing the price information quantity related to the construction flow corresponding to all the division periods of the land wind power project based on the current price unit of each price information quantity, and obtaining the initialized price information quantity.
In this embodiment, the sub-construction plan is a partial construction plan corresponding to each divided construction period in the construction plan.
In this embodiment, the data information in the sub-construction plan is represented by a thread or a flow tree.
In this embodiment, the construction flow is the construction flow of each division period in the construction plan determined after the sub-construction plan corresponding to each division period in the construction plan of the onshore wind power project is subjected to the flow.
In this embodiment, the construction flow is analyzed, and the engineering information amount and the price information amount related to the corresponding construction flow are determined, for example:
Extracting keywords from the construction flow based on a preset keyword library, and taking different keywords as engineering information quantity and price information quantity related to the corresponding construction flow; or the related words determined based on the extracted keywords and the related word stock are used as engineering information quantity and price information quantity related to the corresponding construction flow.
In this embodiment, the preset industry standard is related information such as an industry standard input by a user.
The beneficial effects of the technology are as follows: and analyzing the result after the construction plan of the land wind power project is subjected to flow, so that all engineering information and price information of the land wind power project are obtained, and the initialization process of all engineering information and price information of the land wind power project is completed.
Example 7:
on the basis of the embodiment 1, the construction method of the land wind power project cost automation calculation model comprises the following steps of S3: determining a price change curve of each initialization price information amount in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information amount in a corresponding predicted application period based on the price change curve, wherein the method comprises the following steps:
Determining a predicted application period of the initialized price information based on the three-dimensional dynamic plan construction part model of each divided construction period;
carrying out fluctuation prediction on the initialized price information quantity of the land wind power project to obtain a price fluctuation curve of each initialized price information quantity in a prediction application period;
and determining the application value of each initialization price information amount in the corresponding prediction application period based on the price change curves of all the initialization price information amounts in the corresponding prediction application period.
In the embodiment, based on the three-dimensional dynamic plan construction part model of each divided construction period, a prediction application period of the initialization price information quantity is determined, namely:
determining a source division period of each initialization price information amount (namely, the initialization price information amount determined after analyzing a construction flow of the source division period), and determining a rough application period of the corresponding initialization price information amount based on a dynamic construction progress in a three-dimensional dynamic plan construction part model of the corresponding source division period as a prediction application period of the corresponding initialization price information amount; for example: and determining that the building time period of the equipment A is t1 to t2 based on the three-dimensional dynamic plan construction part model, and predicting the application time period of the building cost of the equipment A in the time period of t1 to t 2.
In this embodiment, the fluctuation prediction is a process of predicting the value of the price fluctuation of the initialized price information amount in the prediction application period.
In this embodiment, based on the price change curves of all the initialized price information amounts in the corresponding predicted application periods, the application value of each initialized price information amount in the corresponding predicted application period is determined, which is:
the maximum value of all the values in the price change curve of the initialized price information amount in the corresponding prediction application period is regarded as the application value in the corresponding prediction application period.
The beneficial effects of the technology are as follows: the method comprises the steps of determining a predicted application period of an initialized price information amount based on a three-dimensional dynamic plan construction part model for dividing a construction period, and predicting the change of the initialized price information amount in the predicted application period to realize the price of the initialized price information amount when being applied in construction engineering compared with the current change prediction, namely more accurately determining the price of the initialized price information amount when being applied in the construction engineering.
Example 8:
on the basis of embodiment 7, the construction method of the land wind power project cost automation calculation model carries out fluctuation prediction on the initialized price information quantity of the land wind power project to obtain a price fluctuation curve of each initialized price information quantity in a prediction application period, and comprises the following steps:
Performing periodic division on a first historical variation curve of all influence information amounts of each initialized price information amount to obtain a periodic division boundary of each influence information amount;
performing simultaneous period division based on the period division boundary lines of all the influence information amounts of each initialization price information amount and the first history change curves of all the influence information amounts of the corresponding initialization price information amounts, and obtaining partial history change curve combinations of a plurality of history periods;
performing period division on a second historical change curve of the initialized price information quantity of the land wind power project based on partial historical change curve combinations of all the historical periods to obtain change curves of a plurality of historical periods;
determining a first quantitative relation between the corresponding initialized price information quantity and all the influence information quantities in the corresponding history period based on the partial history change curve combination and the change curve in each history period;
determining a final quantity relation between the corresponding initialized price information quantity and all the influence information quantities based on the first quantity relation of all the history periods;
and determining a price change curve of the corresponding initialization price information quantity in the forecast application period based on the numerical value change range and the final quantity relation of all the influence information quantity in the forecast application period.
In this embodiment, the influence information amount is an information amount that affects the initialization price information amount, such as a market supply-demand ratio, a transportation cost, and the like.
In this embodiment, the first historical variation curve is a variation value of the influence information amount in the historical period.
In this embodiment, the periodic dividing line is a dividing line determined by dividing the period of the first history change curve of all the influence information amounts of each initialization price information amount.
In this embodiment, the first history change curves of all the influence information amounts corresponding to the initialized price information amounts are simultaneously divided in period based on the period division boundary of all the influence information amounts of each initialized price information amount, and a partial history change curve combination of a plurality of history periods is obtained, for example:
the period duration of the first initialized price information amount is 3 months and 3 months in sequence;
the period duration of the second initialized price information amount is 2 months and 2 months in sequence;
the cycle duration of the first amount of initialization price information and the second amount of initialization price information is sequentially set to: 2 months (single history period, the partial curve of the first history change curve of all the influence information amount within the 2 months is the partial history change curve combination of the history period), 1 month (single history period), 2 months (single history period), and 1 month (single history period).
In this embodiment, the history period is a period obtained by simultaneously dividing the first history change curve of all the influence information amounts corresponding to the initialization price information amount based on the period division boundary of all the influence information amounts of each initialization information amount.
In this embodiment, the partial history change curve combination is a combination of partial first history change curves including all the first history change curves affecting the information amount in the single history period.
In this embodiment, the second historical change curve of the initialized price information amount of the land wind power project is periodically divided based on the partial historical change curve combination of all the historical periods, so as to obtain change curves of a plurality of historical periods, namely:
and periodically dividing a second historical change curve of the initialized price information quantity of the land wind power project according to the sequence and the duration of the historical periods to obtain change curves of a plurality of historical periods.
In this embodiment, the variation curve is a partial variation curve of the second history variation curve in a single history period.
In this embodiment, based on the combination of the partial history change curves and the change curves in each history period, a first quantitative relation between the corresponding initialized price information amount and all the influence information amounts in the corresponding history period is determined, which is:
Determining a change function of all the influence information amounts in a single history period in the history period based on the partial history change curve combination, for example, assuming that:
the change function of the first influence information quantity in the history period is y 1 (t) the change function of the second influence information amount in the history period is y 2 (t) the variation function of the third influence information amount in the history period is y 3 (t);
Determining a change function of the initialized price information amount in the history period based on the change curve;
based on the change function of all the influence information amounts in a single history period in the history period and the change function of the corresponding initialization price information amount in the history period, an equation is constructed:
Y(t)=k 1 y 1 (t)+k 2 y 2 (t)+k 3 y 3 (t)
wherein Y (t) is a function of the change of the corresponding initialization price information amount in the history period, k 1 、k 2 、k 3 Are all unknown coefficients;
the formula is a first quantity relation between the corresponding initialized price information quantity and all the influence information quantities in the corresponding history period.
In this embodiment, the final quantitative relationship between the corresponding initialized price information amount and all the influence information amounts is determined based on the first quantitative relationship of all the history periods, that is:
and determining the unknown coefficients based on the first quantity relation of all the history periods, and further determining the final quantity relation between the corresponding initialized price information quantity and all the influence information quantities (namely substituting the determined unknown coefficients into the first quantity relation, taking each influence information quantity as an unknown quantity, taking the corresponding initialized price information quantity as a known quantity, and determining the final quantity relation).
In this embodiment, based on the numerical variation range and the final quantity relation of all the influence information amounts in the prediction application period, a price variation curve of the corresponding initialization price information amount in the prediction application period is determined, namely:
substituting the change functions corresponding to the numerical value change ranges of all the influence information amounts in the prediction application period into the final quantity relation, determining the price change function corresponding to the initialization price information amount in the prediction application period, and taking the function curve graph of the price change function as a price change curve.
The beneficial effects of the technology are as follows: based on the period division and period analysis of the historical variation values of all the influence information amounts of the initialized price information amount, determining the quantity relation of all the influence information amounts and corresponding initialized price information amounts in each division period, determining the unknown coefficient in the quantity relation based on the quantity relation of all the division periods, further determining the final quantity relation between the initialized price information amount and all the influence information amounts, realizing accurate analysis of the quantity relation between the initialized price information amount and all the influence information amounts, and further accurately determining the price variation curve of the initialized price information amount in the forecast application period.
Example 9:
on the basis of the embodiment 1, the construction method of the land wind power project cost automation calculation model is as follows, and S4: constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period, comprising:
determining the construction cost automation calculation logic and engineering properties of the land wind power project based on the construction plan;
determining a calculation coefficient in an automatic calculation logic algorithm logic based on the engineering attribute;
constructing a cost automation calculation model frame of the onshore wind power project based on the cost automation calculation logic and the calculation coefficient;
and constructing a cost automation calculation model of the land wind power project based on the application value of the initial engineering information quantity and each initial price information quantity in each predicted application period and the cost automation calculation model frame.
In this embodiment, the cost automation computation logic and engineering properties of the onshore wind project are determined based on the construction plan, for example:
determining the total number of equipment A and the total number of equipment B required in the land wind power project based on the construction plan, wherein the cost automation calculation logic is the sum of the product of the total number of equipment A and the unit price of equipment A and the product of the total number of equipment B and the unit price of equipment B, namely the total cost of equipment of the land wind power project;
And determining geological parameters (personalized parameters) such as the flatness of the building site and geological conditions and the like based on the construction plan as corresponding engineering attributes.
In this embodiment, the calculation coefficients are those included in the automated calculation logic that have an effect on the cost calculation result, for example: building site flatness;
and the product of the difference value of 1 and the flatness of the building site and the original installation cost is the total installation cost of the corresponding installation project.
In the embodiment, based on the cost automation calculation logic and calculation coefficients, a cost automation calculation model frame of the onshore wind power project is built, namely:
substituting the calculation coefficients into the expressions contained in the cost automation calculation logic to obtain a new expression, and taking the new expression as a cost automation calculation model frame of the land wind power project.
In the embodiment, based on the application value of the initial engineering information amount and each initial price information amount in each prediction application period and the construction cost automation calculation model frame, constructing a construction cost automation calculation model of the land wind power project, namely:
substituting the application value of the initial engineering information quantity and the initial price information quantity in each prediction application period into a cost automation calculation model frame to obtain an expression as a cost automation calculation model of the land wind power project, wherein the automation calculation model can obtain a new cost calculation result by adjusting the application value of the initial engineering quantity and the initial price information quantity in each prediction application period, namely realizing the cost automation calculation of the land wind power project.
The beneficial effects of the technology are as follows: substituting the initial engineering information quantity and the application value of each initial price information quantity in each predicted application period into an automatic calculation model frame constructed by construction plan-based construction cost automatic calculation logic and calculation coefficients for determining the land wind power project, and generating a model for realizing land wind power project construction cost automatic calculation.
Example 10:
the invention provides a construction system of an automatic calculation model for land wind power project manufacturing cost, referring to FIG. 2, comprising:
the three-dimensional model building module is used for building a three-dimensional dynamic plan construction part model of each division period based on the construction plan of the land wind power project;
the information quantity initializing module is used for initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
the price determining module is used for determining the application value of each initialized price information amount in the corresponding predicted application period based on the price change curve of each initialized price information amount of the land wind power project in the predicted application period;
the calculation model building module is used for constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period.
The beneficial effects of the technology are as follows: based on personalized division of construction plans of land wind power projects, construction of a three-dimensional construction model, initialization of information quantity and personalized variation prediction of the information quantity, a personalized construction method capable of constructing a land wind power project cost automatic calculation model accurately considering variation trend of price information quantity in the construction process of the wind power projects is generated, an accurate cost automatic calculation model can be generated based on construction plans of the land wind power projects in a personalized mode, corresponding cost calculation results are determined, accuracy of cost automatic calculation is improved, cost of cost calculation is reduced, and reference value of cost calculation results is higher.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The construction method of the land wind power project cost automation calculation model is characterized by comprising the following steps of:
S1: constructing a three-dimensional dynamic plan construction part model of each divided construction period based on the construction plan of the land wind power project;
s2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
s3: determining a price change curve of each initialization price information in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information in a corresponding predicted application period based on the price change curve;
s4: constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information in each prediction application period;
wherein, step S1: based on the construction plan of the land wind power project, a three-dimensional dynamic plan construction part model of each divided construction period is built, and the method comprises the following steps:
constructing a three-dimensional dynamic plan construction model based on a construction plan of a land wind power project;
performing construction period division on the construction plan based on the three-dimensional dynamic plan construction model to obtain construction period division results;
Performing time sequence division on the three-dimensional dynamic plan construction model based on a construction period division result to obtain a three-dimensional dynamic plan construction part model of each division construction period;
the construction period division is carried out on the construction plan based on the three-dimensional dynamic plan construction model, and a construction period division result is obtained, and the construction period division method comprises the following steps:
determining the total construction area range based on the three-dimensional dynamic plan construction model;
determining unit construction time based on a construction plan, and determining a real-time construction area range in each unit construction time based on a three-dimensional dynamic plan construction model;
determining the central positions of the communication areas of all the real-time construction area ranges, and fitting the total number of the communication areas contained in all the real-time construction area ranges according to the sequence of unit construction time to obtain an area total number change curve;
fitting the central position of any communication area in each real-time construction area range according to the sequence of unit construction time to obtain a plurality of real-time movement tracks;
taking the total area change curve and the limit between the unit construction time of sudden change in all real-time movement tracks and the unit construction time of the adjacent last unit as a first construction period dividing limit;
Performing construction period division on the construction plan based on the first construction period division boundary line to obtain a construction period division result;
the application value is the actual value of the predicted initialization price information quantity in the prediction application period.
2. The method for constructing an automated computation model for manufacturing costs of land wind power projects according to claim 1, wherein the construction plan is subjected to construction period division based on the first construction period division boundary line, and a construction period division result is obtained, comprising:
performing primary construction period division on the construction plan based on the first construction period division limit to obtain a plurality of primary division construction periods;
determining the initial unit construction time and the final unit construction time in each primary dividing work period;
taking the central position of the communication area of the real-time construction area range corresponding to the initial unit construction time as a vector starting point, taking the central position of the communication area of the real-time construction area range corresponding to the termination unit construction time as a vector termination point, and generating a corresponding construction range movement vector based on all vector starting points and all vector termination points of the primary division construction period;
calculating the deviation ratio of the construction range moving vector of each primary dividing period relative to all construction range moving vectors, carrying out exhaustive dividing on the construction range moving vectors exceeding the preset deviation ratio to obtain a plurality of new construction range moving vectors corresponding to the primary dividing period, and summarizing each new construction range moving vector and the construction range moving vector which is determined last time and does not exceed the preset deviation ratio to obtain a construction range moving vector set corresponding to each new construction range moving vector;
Obtaining a re-dividing construction period corresponding to the primary dividing construction period based on all new construction range movement vectors and a construction range movement vector set corresponding to all the primary dividing construction periods exceeding a preset deviation ratio;
summarizing all the primary division periods which do not exceed the preset deviation ratio and the secondary division periods of all the primary division periods which exceed the preset deviation ratio, and obtaining a period division result.
3. The method for constructing an automated computation model for manufacturing costs of land wind power projects according to claim 2, wherein obtaining a re-divided construction period corresponding to the primary divided construction period based on all new construction range movement vectors and a set of construction range movement vectors corresponding to all the primary divided construction periods exceeding a preset deviation ratio, comprises:
calculating the deviation ratio of each new construction range moving vector determined at the present time relative to the corresponding new construction range moving vector set;
when the construction range motion vector smaller than the previous determined deviation exists in all the new construction range motion vectors determined at this time, the construction range motion vector smaller than the previous determined deviation continues to be divided in an exhaustive manner until the construction range motion vector smaller than the previous determined deviation does not exist in all the new construction range motion vectors determined at present, the division is stopped, and the re-division construction period corresponding to the primary division construction period is obtained based on all the division processes of the primary division construction period last time and before.
4. The method for constructing an automated computation model for land wind power project manufacturing cost according to claim 1, wherein S2: initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity, comprising the following steps:
carrying out procedural processing on sub-construction plans corresponding to each division period in the construction plans of the land wind power projects to obtain a construction flow of each division period;
analyzing the construction flow, and determining the engineering information quantity and the price information quantity related to the corresponding construction flow;
initializing engineering information quantity related to a construction flow corresponding to all division periods of the land wind power project based on a preset industry standard to obtain initialized engineering information quantity;
and initializing the price information quantity related to the construction flow corresponding to all the division periods of the land wind power project based on the current price unit of each price information quantity, and obtaining the initialized price information quantity.
5. The method for constructing an automated computation model for land wind power project manufacturing cost according to claim 1, wherein S3: determining a price change curve of each initialization price information amount in a predicted application period based on the three-dimensional dynamic plan construction part model of each divided construction period, and determining an application value of each initialization price information amount in a corresponding predicted application period based on the price change curve, wherein the method comprises the following steps:
Determining a predicted application period of the initialized price information based on the three-dimensional dynamic plan construction part model of each divided construction period;
carrying out fluctuation prediction on the initialized price information quantity of the land wind power project to obtain a price fluctuation curve of each initialized price information quantity in a prediction application period;
and determining the application value of each initialization price information amount in the corresponding prediction application period based on the price change curves of all the initialization price information amounts in the corresponding prediction application period.
6. The method for constructing an automated computation model for manufacturing costs of land wind power projects according to claim 5, wherein predicting the variation of the initialized price information amount of the land wind power projects to obtain a price variation curve of each initialized price information amount in a prediction application period comprises:
performing periodic division on a first historical variation curve of all influence information amounts of each initialized price information amount to obtain a periodic division boundary of each influence information amount;
performing simultaneous period division based on the period division boundary lines of all the influence information amounts of each initialization price information amount and the first history change curves of all the influence information amounts of the corresponding initialization price information amounts, and obtaining partial history change curve combinations of a plurality of history periods;
Performing period division on a second historical change curve of the initialized price information quantity of the land wind power project based on partial historical change curve combinations of all the historical periods to obtain change curves of a plurality of historical periods;
determining a first quantitative relation between the corresponding initialized price information quantity and all the influence information quantities in the corresponding history period based on the partial history change curve combination and the change curve in each history period;
determining a final quantity relation between the corresponding initialized price information quantity and all the influence information quantities based on the first quantity relation of all the history periods;
and determining a price change curve of the corresponding initialization price information quantity in the forecast application period based on the numerical value change range and the final quantity relation of all the influence information quantity in the forecast application period.
7. The method for constructing an automated computation model for land wind power project manufacturing cost according to claim 1, wherein S4: constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period, comprising:
Determining the construction cost automation calculation logic and engineering properties of the land wind power project based on the construction plan;
determining a calculation coefficient in an automatic calculation logic algorithm logic based on the engineering attribute;
constructing a cost automation calculation model frame of the onshore wind power project based on the cost automation calculation logic and the calculation coefficient;
and constructing a cost automation calculation model of the land wind power project based on the application value of the initial engineering information quantity and each initial price information quantity in each predicted application period and the cost automation calculation model frame.
8. A system for constructing a model for automated computation of the cost of land wind power projects, characterized by performing a method for constructing a model for automated computation of the cost of land wind power projects as defined in any one of claims 1 to 7, comprising:
the three-dimensional model building module is used for building a three-dimensional dynamic plan construction part model of each division period based on the construction plan of the land wind power project;
the information quantity initializing module is used for initializing all engineering information quantity and price information quantity of the land wind power project to obtain initialized engineering information quantity and initialized price information quantity;
The price determining module is used for determining the application value of each initialized price information amount in the corresponding predicted application period based on the price change curve of each initialized price information amount of the land wind power project in the predicted application period;
the calculation model building module is used for constructing a cost automation calculation model of the land wind power project based on the cost automation calculation logic and engineering properties of the land wind power project and the application value of each initialization price information amount in each prediction application period;
the application value is the actual value of the predicted initialization price information quantity in the prediction application period.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111080239A (en) * | 2019-11-29 | 2020-04-28 | 中国电力企业联合会电力建设技术经济咨询中心 | Real-time dynamic tracking method and device for construction cost |
CN112785257A (en) * | 2021-01-15 | 2021-05-11 | 广州市新誉工程咨询有限公司 | Engineering cost operation evaluation method and system based on BIM technology |
CN113592538A (en) * | 2021-07-01 | 2021-11-02 | 广州珠合工程技术有限公司 | Method and system for calculating approximate construction cost |
CN115169818A (en) * | 2022-06-14 | 2022-10-11 | 武汉建科科技有限公司 | Digital modeling-based technical engineering measurement and calculation method and system |
-
2023
- 2023-04-27 CN CN202310471539.4A patent/CN116451500B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111080239A (en) * | 2019-11-29 | 2020-04-28 | 中国电力企业联合会电力建设技术经济咨询中心 | Real-time dynamic tracking method and device for construction cost |
CN112785257A (en) * | 2021-01-15 | 2021-05-11 | 广州市新誉工程咨询有限公司 | Engineering cost operation evaluation method and system based on BIM technology |
CN113592538A (en) * | 2021-07-01 | 2021-11-02 | 广州珠合工程技术有限公司 | Method and system for calculating approximate construction cost |
CN115169818A (en) * | 2022-06-14 | 2022-10-11 | 武汉建科科技有限公司 | Digital modeling-based technical engineering measurement and calculation method and system |
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