Typical cost revision method and device of power transformation project, computer equipment, storage medium and product

Abstract

The invention relates to a typical cost revision method and device of a power transformation project, computer equipment, a storage medium and a product. The method comprises the following steps: acquiring a historical typical cost and a comprehensive cost revision rate of a target power transformation project; according to the comprehensive cost revision rate, revising the historical typical cost to obtain a target typical cost of the target power transformation project; wherein the comprehensive cost revision rate is determined by adopting the following mode: acquiring cost influence data corresponding to at least one cost influence factor of the target power transformation project in the latest revision time period and cost data under at least one cost category; determining a reference cost revision rate under the target power transformation project according to the cost data under the cost category to which the cost influence factors belong and the change data of the cost influence data corresponding to the cost influence factors in the latest revision time period; and determining a comprehensive cost revision rate according to the reference cost revision rate corresponding to the at least one cost influence factor.

Description

Technical Field

[0001] The present application relates to the field of engineering cost technology, and in particular to a typical cost revision method, device, computer equipment, storage medium and product for a substation engineering project. Background Art

[0002] In the current cost management of power engineering projects, the cost assessment of substation projects is a complex and important link. Accurate and objective assessment of the cost of substation projects will help improve the rationality of resource allocation for substation projects.

[0003] At present, the cost of current substation projects is often evaluated based on the typical cost of substation projects. However, the existing method for revising the typical cost of substations ignores the fact that the influencing factors of the typical cost will change dynamically over time, so that the typical cost of substation projects cannot accurately reflect the actual cost of substation projects. Summary of the invention

[0004] Based on this, it is necessary to provide a typical cost revision method, device, computer equipment, storage medium and product for substation projects to address the above technical problems, so as to improve the accuracy of the typical cost of substation projects.

[0005] In a first aspect, the present application provides a typical cost revision method for a substation project, comprising:

[0006] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0007] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0008] Among them, the comprehensive cost revision rate is determined in the following way:

[0009] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0010] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0011] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0012] In one of the embodiments, the cost expense ratio corresponding to the cost influencing factor is determined by taking the ratio of the cost data under the cost category to which the cost influencing factor belongs to the sum of the cost data corresponding to at least one cost influencing factor; the change data of the cost influencing data corresponding to the cost influencing factor in the latest revision period and the ratio of the cost influencing data corresponding to the same cost influencing factor in the previous revision period are used as the impact data change rate; the product of the cost expense ratio and the impact data change rate is used as the reference cost revision rate corresponding to the cost influencing factor.

[0013] In one of the embodiments, the average of the reference cost revision rates corresponding to the cost influencing factors under the same cost category is used as the cost revision rate corresponding to the cost category; and the sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate.

[0014] In one of the embodiments, historical impact data corresponding to different cost influencing factors of a target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods are obtained; for any historical revision period, the historical impact data in the historical revision period is used as an independent variable, and the standard cost data in the historical revision period is used as a dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period; key influencing factors are selected from different cost influencing factors based on the cost impact weights of different cost influencing factors in different historical revision periods; cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period and cost data under at least one cost category are obtained.

[0015] In one of the embodiments, for any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; and a preset number of cost influencing factors with higher target cost impact weights are selected as key influencing factors.

[0016] In one of the embodiments, historical impact data corresponding to different cost impact factors in a historical revision period are input into a trained cost prediction model to obtain standard cost data in the historical revision period; wherein the cost prediction model is trained in the following manner: sample impact data corresponding to different cost impact factors of a target substation project in a sample revision period, and cost data labels corresponding to the sample impact data are obtained; the impact value of any sample impact data under at least one cost impact factor is adjusted to generate sample derivative data of the sample impact data; the cost data label of the sample impact data corresponding to the sample derivative data is used as the cost data label of the sample derivative data; and a pre-constructed cost prediction model is trained based on the sample derivative data and the cost data label of the sample derivative data.

[0017] In a second aspect, the present application also provides a typical cost revision device, including:

[0018] An acquisition module is used to obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0019] The revision module is used to revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project.

[0020] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0021] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0022] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0023] Among them, the comprehensive cost revision rate is determined in the following way:

[0024] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0025] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0026] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0027] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0028] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0029] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0030] Among them, the comprehensive cost revision rate is determined in the following way:

[0031] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0032] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0033] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0034] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0035] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0036] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0037] Among them, the comprehensive cost revision rate is determined in the following way:

[0038] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0039] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0040] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0041] The above-mentioned typical cost revision method, device, computer equipment, storage medium and product of the substation project introduce the cost impact data and cost data of the target substation project in the latest revision period, and determine the reference cost revision rate of the target substation project according to the cost data of the cost category to which the cost impact factor belongs and the change data of the cost impact data corresponding to the cost impact factor in the latest revision period, and determine the comprehensive cost revision rate according to the reference cost revision rate corresponding to at least one cost impact factor, so that the comprehensive cost revision rate can reflect the change of the cost impact data corresponding to different cost impact factors, and the impact on the historical typical cost of the target substation project, thereby improving the accuracy of the comprehensive cost revision rate. Furthermore, according to the comprehensive cost revision rate, the historical typical cost of the target substation project is revised to obtain the target typical cost, so that the target typical cost can accurately reflect the actual cost of the substation project, thereby improving the credibility and accuracy of the target typical cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A schematic diagram of a typical cost revision method for a power transformation project in one embodiment;

[0044] Figure 2 A flowchart of the steps of determining a reference cost revision rate in one embodiment;

[0045] Figure 3 A flowchart of the steps of determining the comprehensive cost revision rate in one embodiment;

[0046] Figure 4 A flowchart of the steps of determining key influencing factors in one embodiment;

[0047] Figure 5 A structural block diagram of a typical cost revision device in an embodiment;

[0048] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0050] In one embodiment, Figure 1 As shown, a typical cost revision method for a substation project is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0051] S110, obtaining the historical typical cost and comprehensive cost revision rate of the target substation project.

[0052] Optionally, the target substation project can be understood as a substation project for which the historical typical cost needs to be revised. Further, the historical typical cost can be understood as the typical cost of the target substation project in the latest revision period. It should be noted that the typical cost can be understood as a reference cost of the actual cost of the target substation project, that is, the actual cost of the target substation project can be evaluated based on the typical cost of the target substation project. In each revision period, the typical cost needs to be revised once, and the latest revision period can be understood as a revision period closest to the current revision period. Optionally, the comprehensive cost revision rate can be understood as the revision rate of the historical typical cost obtained based on all cost influencing factors. Among them, the cost influencing factors can be understood as factors that may affect the typical cost of the target substation project. It should be emphasized that the cost influencing factors can be either direct influencing factors or indirect influencing factors. Optionally, the direct influencing factors can be understood as cost influencing factors that can directly affect the typical cost, such as raw material prices. Indirect influencing factors can be understood as cost influencing factors that may affect the typical cost by affecting the direct influencing factors. For example, changes in the PPI (Producer Price Index) may affect the price of raw materials and thus affect the typical cost. Cost impact data can be understood as data used to represent cost impact factors. For example, if the PPI is 2.9, the cost impact data corresponding to the cost impact factor PPI is 2.9.

[0053] In an optional embodiment, the comprehensive cost revision rate may be determined in the following manner: obtaining cost impact data corresponding to at least one cost influencing factor of the target substation project in the latest revision period, and cost data under at least one cost category; determining a reference cost revision rate for the target substation project based on the cost data under the cost category to which the cost influencing factor belongs, and change data of the cost impact data corresponding to the cost influencing factor in the latest revision period; determining the comprehensive cost revision rate based on the reference cost revision rate corresponding to at least one cost influencing factor.

[0054] Among them, the cost category can be understood as the cost corresponding to each sub-project of the target substation project. For example, the cost category can include at least one of equipment purchase costs, engineering design fees and engineering management fees. Optionally, the equipment purchase cost can be understood as the cost required for purchasing and disposing of raw materials or equipment; the engineering design fee can be understood as the cost required for engineering planning and design; the engineering management fee can be understood as the cost required for managing the target substation project. Furthermore, the cost data can be understood as the data used to represent each cost category. For example, if the equipment purchase cost in the typical cost is one million yuan, the cost data corresponding to the cost category equipment purchase cost is one million yuan. Optionally, the typical cost may include at least one cost category and a total cost. Among them, the sum of the cost data corresponding to all cost types within the same revision period can be used as the cost data corresponding to the total cost in the typical cost.

[0055] Optionally, there is a mapping relationship between the cost influencing factors and the cost categories, and the mapping relationship can be understood as: when the cost impact data corresponding to the cost influencing factors changes, it will affect the cost data corresponding to the cost category under the mapping relationship. It should be noted that the mapping relationship can be set by technical personnel according to needs or experience, or determined through a large number of experiments, and this application does not impose any restrictions on this. Among them, a cost influencing factor is uniquely mapped to a cost category, that is, a cost factor belongs to a cost category. For example, the price of raw materials belongs to equipment procurement costs. Further, different cost factors may belong to the same cost category. For example, the price of raw materials and the raw material disposal fee both belong to equipment purchase costs. Optionally, the change data can be understood as the difference between the cost impact data corresponding to the cost influencing factors in the latest revision period and the cost impact data corresponding to the same cost influencing factors in the previous revision period of the latest revision period. Among them, the reference cost revision rate can be understood as the revision rate of the historical typical cost obtained based on a single cost influencing factor.

[0056] S120, revising the historical typical cost according to the comprehensive cost revision rate to obtain a target typical cost of the target substation project.

[0057] The target typical cost can be understood as the typical cost obtained after the historical typical cost of the target substation project is revised. For example, the sum of the historical typical cost and the product of the historical typical cost and the comprehensive cost revision rate can be used as the target typical cost.

[0058] In this embodiment, by introducing the cost impact data and cost data of the target substation project in the latest revision period, and according to the cost data of the cost category to which the cost impact factors belong, and the change data of the cost impact data corresponding to the cost impact factors in the latest revision period, the reference cost revision rate under the target substation project is determined, and according to the reference cost revision rate corresponding to at least one cost impact factor, the comprehensive cost revision rate is determined, so that the comprehensive cost revision rate can reflect the changes in the cost impact data corresponding to different cost impact factors, and the impact on the historical typical cost of the target substation project, thereby improving the accuracy of the comprehensive cost revision rate. Furthermore, according to the comprehensive cost revision rate, the historical typical cost of the target substation project is revised to obtain the target typical cost, so that the target typical cost can accurately reflect the actual cost of the substation project, thereby improving the credibility and accuracy of the target typical cost.

[0059] Based on the technical solutions of the above-mentioned embodiments, the present application also provides an optional embodiment, in which the steps of determining the reference cost revision rate are refined.

[0060] See also Figure 2 The steps shown to determine the reference cost revision rate include:

[0061] S210, determining the proportion of the cost expense corresponding to the cost influencing factor by taking the proportion of the cost data under the cost category to which the cost influencing factor belongs to the sum of the cost data corresponding to at least one cost influencing factor.

[0062] Optionally, the sum of the cost data corresponding to at least one cost influencing factor can be understood as the total cost in the historical typical cost. Further, the cost ratio can be understood as the ratio of the cost data under the cost type to which the cost influencing factor belongs in the total cost.

[0063] For example, the formula , obtain the proportion of construction cost corresponding to the factors affecting construction cost .in, Indicates the serial number of the factors affecting the cost. Indicates the serial number is The cost data under the cost category to which the cost influencing factors belong, Represents the total cost in historical typical construction cost.

[0064] S220, taking the change data of the cost impact data corresponding to the cost impact factors in the latest revision period and the proportion of the cost impact data corresponding to the same cost impact factors in the previous revision period as the impact data change rate.

[0065] It can be understood that the rate of change of the influencing data can be understood as the rate of change of the cost influencing data from the previous revision period to the latest revision period.

[0066] For example, according to the formula , get the impact data change rate .in, Indicates the latest revision period, the serial number is The cost influencing factors correspond to the change data of the cost influencing data, Indicates that in the last revision period before the latest revision period, the serial number in the latest revision period is The cost impact data of the cost influencing factors corresponding to the cost influencing factors.

[0067] S230, taking the product of the proportion of the construction cost and the rate of change of the influencing data as the reference cost revision rate corresponding to the cost influencing factor.

[0068] For example, according to the formula , get the serial number in the latest revision period Reference cost revision rate corresponding to the cost influencing factors . and Substituting the calculation formula into the above formula, we can get .

[0069] In this embodiment, in the process of determining the reference cost revision rate corresponding to the cost influencing factors, the cost expense ratio and the change rate of the cost influencing data are introduced. Among them, the cost data under the cost category to which the cost influencing factors belong, the ratio of the sum of the cost data corresponding to at least one cost influencing factor, is used as the cost expense ratio corresponding to the cost influencing factor, which reflects the influence ratio of the cost type to which the cost influencing factor belongs in the historical typical cost; the change data of the cost influencing data corresponding to the cost influencing factors in the latest revision period, the ratio of the cost influencing data corresponding to the same cost influencing factor in the previous revision period of the latest revision period, is used as the influence data change rate, which reflects the change of the cost influencing data. Therefore, the above technical scheme can determine the reference cost revision rate corresponding to the cost influencing factors on the basis of fully considering the change of the cost influencing data and the influence ratio of the cost type to which the cost influencing factors belong in the typical cost, so that the reference cost revision rate can objectively and accurately reflect the change of a single cost influencing factor and its impact on the revision of the historical typical cost.

[0070] Based on the technical solutions of the above-mentioned embodiments, the present application also provides an optional embodiment, in which the steps for determining the comprehensive cost revision rate are refined.

[0071] See also Figure 3 The steps for determining the comprehensive cost revision rate shown include:

[0072] S310: taking the average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category as the cost revision rate corresponding to the cost category.

[0073] Optionally, the cost revision rate can be understood as the change in cost impact data corresponding to all cost influencing factors of the same cost type for the target substation project during the latest revision period, and their impact on the historical typical cost revision.

[0074] It is understandable that, as mentioned above, different cost influencing factors can belong to the same cost category. When there is only one cost influencing factor corresponding to a cost category, the reference cost revision rate corresponding to the cost influencing factor can represent the impact of the change in cost impact data corresponding to the cost influencing factors belonging to that cost type on the revision of historical typical costs. However, if there are multiple cost influencing factors belonging to the same cost category, although the proportion of cost expenses corresponding to the same cost type is certain, the changes in cost impact data corresponding to different cost influencing factors are different. Therefore, relying solely on the reference cost revision rate of one cost influencing factor may not be able to relatively accurately reflect the impact of the changes in cost impact data corresponding to all cost influencing factors belonging to the same cost type on the revision of historical typical costs.

[0075] In an optional embodiment, when there are multiple cost influencing factors belonging to the same cost category, the average value of the reference cost revision rates corresponding to the multiple cost influencing factors can be used as the cost revision rate corresponding to the cost category, so as to more accurately reflect the impact of the cost data changes corresponding to all cost influencing factors belonging to the same cost type on the typical cost revision.

[0076] S320, taking the sum of the cost revision rates corresponding to different cost categories as the comprehensive cost revision rate.

[0077] It can be understood that the cost revision rate corresponding to different cost categories can be understood as the change in cost impact data corresponding to all cost influencing factors of the target substation project during the latest revision period, and the overall impact on the historical typical cost revision.

[0078] In this embodiment, the average of the reference revision rates corresponding to the cost influencing factors belonging to the same cost category is used as the cost revision rate corresponding to the cost category; the sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate, so that the comprehensive cost revision rate can reflect the changes in cost impact data corresponding to all cost influencing factors of the target substation project during the latest revision period, and the overall impact on the historical typical cost revision, thereby improving the accuracy of the comprehensive cost revision rate.

[0079] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which the steps of determining key influencing factors are refined.

[0080] See also Figure 4 The steps shown to identify key influencing factors include:

[0081] S410, obtaining historical impact data corresponding to different cost impact factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods.

[0082] Optionally, the historical revision period may include the latest revision period and at least one of the revision periods before the latest revision period. The historical impact data may be understood as the cost impact data corresponding to different cost impact factors within the historical revision period. The standard cost data may be understood as relatively accurate cost data obtained under the historical impact data. The standard cost data may be a prediction result of the historical impact data based on a pre-trained neural network model.

[0083] In an optional embodiment, the standard cost data within the historical revision period can be obtained in the following manner: the historical impact data corresponding to different cost influencing factors under the historical revision period is input into a trained cost prediction model to obtain the standard cost data under the historical revision period. Optionally, the cost prediction model can be obtained based on at least one traditional neural network model combination, and the present application does not impose any restrictions on this. In a specific implementation, the cost prediction model can be an XGboost (Extreme Gradient Boosting, distributed gradient enhancement library) model.

[0084] Among them, the cost prediction model is trained in the following way: obtaining sample influence data corresponding to different cost influencing factors of the target substation project in the sample revision period, and the cost data label corresponding to the sample influence data; adjusting the influence value of any sample influence data under at least one cost influencing factor to generate sample derivative data of the sample influence data; using the cost data label of the sample influence data corresponding to the sample derivative data as the cost data label of the sample derivative data; and training the pre-constructed cost prediction model according to the sample derivative data and the cost data label of the sample derivative data.

[0085] Optionally, the sample revision period can be understood as any historical revision period used to train the cost neural model. Further, the sample impact data can be understood as the cost impact data corresponding to each cost impact factor in the sample revision period. Optionally, the cost data label can be understood as the reference cost data used to evaluate the prediction accuracy of the cost prediction model during the training of the cost prediction model.

[0086] Optionally, the impact value under the cost impact factor can be understood as the value of adjusting the sample impact data corresponding to the cost impact factor. Further, the sample derivative data can be understood as the derivative data obtained based on the adjustment of the sample impact data.

[0087] It should be noted that the above method can be used to obtain another batch of sample derivative data, and the batch of sample derivative data can be input into the trained cost prediction model to obtain the predicted cost data corresponding to each sample derivative data, and the predicted cost data can be used as the standard cost data during the sample revision period.

[0088] S420, for any historical revision period, the historical impact data in the historical revision period is used as an independent variable, and the standard cost data in the historical revision period is used as a dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period.

[0089] Optionally, the historical impact data can be understood as the cost impact data used to train the cost prediction model to obtain the standard cost data. Further, the cost impact weight can be understood as the degree of influence of the cost impact factor corresponding to the change in the cost impact data on the predicted standard cost data.

[0090] It should be noted that the cost prediction model can only obtain standard cost data, but cannot reflect the prediction process of standard cost data, that is, it cannot reflect the changes in cost impact data corresponding to each cost influencing factor during the prediction process, and the degree of influence on the predicted standard cost data. Therefore, the standard cost data can be fitted through a linear model to obtain the cost impact weight values ​​of different cost influencing factors during the historical revision period, and the weight values ​​can be used to reflect the degree of influence of different cost influencing factors on the standard cost data.

[0091] S430, selecting key influencing factors from among different cost influencing factors according to their cost influencing weights in different historical revision periods.

[0092] Among them, the key influencing factors can be understood as the changes in the corresponding cost influencing data, which are the cost influencing factors with a higher degree of influence on the predicted standard cost data.

[0093] In an optional embodiment, for any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; and a preset number of cost influencing factors with higher target cost impact weights are selected as key influencing factors.

[0094] Optionally, the target cost impact weight can be understood as the change in cost impact data corresponding to the cost impact factor under different historical revision periods, and the degree of comprehensive impact on the predicted standard cost data. Furthermore, the higher the target cost impact weight of the cost impact factor, the higher the comprehensive impact of the change in cost impact data corresponding to the cost impact factor on the predicted standard cost data. Optionally, the preset number can be understood as the number of key influencing factors selected from the cost influencing factors. It should be emphasized that the preset number can be set by technical personnel according to needs or experience, or determined through a large number of experiments, and this application does not impose any limitations on this.

[0095] It should be noted that the cost impact weight values ​​of the same cost influencing factors in different historical revision periods may be unequal. Therefore, it is not possible to evaluate the changes in the cost impact data corresponding to the cost influencing factors and the degree of impact on the predicted standard cost data based solely on the cost impact weight of the cost influencing factors in a certain historical revision period. Instead, the average of the cost impact weights corresponding to the cost influencing factors in different historical revision periods can be used to objectively and comprehensively evaluate the changes in the cost impact data corresponding to the cost influencing factors and the degree of impact on the predicted standard cost data.

[0096] S440, obtaining cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, and cost data under at least one cost category.

[0097] It is understandable that if the cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period is obtained without screening the cost impact factors, it can also be used as analysis data for the subsequent revision of the historical typical cost. However, there will be more non-critical influencing factors involved in the process of revising the historical typical cost, which not only increases the amount of data but also reduces the revision efficiency. Therefore, the key influencing factors can be screened out first, and then the historical typical cost can be revised directly based on the cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, and the cost data under at least one cost category.

[0098] In this embodiment, by obtaining the historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and the standard cost data in the corresponding historical revision periods; for any historical revision period, the historical impact data in the historical revision period is used as the independent variable, and the standard cost data in the historical revision period is used as the dependent variable for linear fitting, so as to obtain the cost impact weights of different cost influencing factors in the historical revision period; according to the cost impact weights of different cost influencing factors in different historical revision periods, key influencing factors are selected from different cost influencing factors; the cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, and the cost data under at least one cost category are obtained. The above technical scheme can filter out non-key influencing factors and directly obtain the relevant data of key influencing factors, thereby reducing the amount of data in the process of revising the historical typical cost and improving the efficiency of revising the historical typical cost.

[0099] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0100] Based on the same inventive concept, the embodiment of the present application also provides a typical cost revision device for implementing the typical cost revision method of the substation engineering involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more typical cost revision device embodiments provided below can refer to the limitations of the typical cost revision method of the substation engineering above, and will not be repeated here.

[0101] In an exemplary embodiment, Figure 5 As shown, a typical cost revision device is provided, including: an acquisition module 510 and a revision module 520, wherein:

[0102] The acquisition module 510 is used to obtain the historical typical cost and comprehensive cost revision rate of the target substation project.

[0103] The revision module 520 is used to revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project.

[0104] In one embodiment, the revision module 520 includes: a first acquisition unit, used to obtain cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category; a first determination unit, used to determine a reference cost revision rate for the target substation project based on the cost data under the cost category to which the cost impact factor belongs, and change data of the cost impact data corresponding to the cost impact factor in the latest revision period; a first revision unit, used to determine the comprehensive cost revision rate based on the reference cost revision rate corresponding to at least one cost impact factor.

[0105] In one embodiment, the first determination unit includes: a first determination sub-unit, used to determine the cost expense ratio corresponding to the cost influencing factor by taking the cost data under the cost category to which the cost influencing factor belongs and the ratio of the sum of the cost data corresponding to at least one cost influencing factor; a second determination sub-unit, used to take the ratio of the cost influence data corresponding to the cost influencing factor in the latest revision period to the change data of the cost influence data corresponding to the same cost influencing factor in the previous revision period as the influence data change rate; and a third determination sub-unit, used to take the product of the cost expense ratio and the influence data change rate as the reference cost revision rate corresponding to the cost influencing factor.

[0106] In one embodiment, the first revision unit includes: a fourth determination subunit, used to take the average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category as the cost revision rate corresponding to the cost category; and a fifth determination subunit, used to take the sum of the cost revision rates corresponding to different cost categories as the comprehensive cost revision rate.

[0107] In one embodiment, the first acquisition unit includes: a first acquisition sub-unit, which is used to obtain historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods; a first fitting sub-unit, which is used to perform linear fitting for any historical revision period, using the historical impact data in the historical revision period as an independent variable and the standard cost data in the historical revision period as a dependent variable to obtain the cost impact weights of different cost influencing factors in the historical revision period; a first selection sub-unit, which is used to select key influencing factors from different cost influencing factors according to the cost impact weights of different cost influencing factors in different historical revision periods; and a second acquisition sub-unit, which is used to obtain cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, and cost data under at least one cost category.

[0108] In one of the embodiments, the first selection sub-unit is further used to, for any cost influencing factor, take the average of the cost impact weights of the cost influencing factor in different historical revision periods as the target cost impact weight; and select a preset number of cost influencing factors with higher target cost impact weights as key influencing factors.

[0109] In one of the embodiments, the first acquisition sub-unit is also used to input the historical impact data corresponding to different cost impact factors in the historical revision period into the trained cost prediction model to obtain the standard cost data in the historical revision period; wherein the cost prediction model is trained in the following manner: obtaining the sample impact data corresponding to different cost impact factors of the target substation project in the sample revision period, and the cost data label corresponding to the sample impact data; adjusting the impact value of any sample impact data under at least one cost impact factor to generate sample derivative data of the sample impact data; using the cost data label of the sample impact data corresponding to the sample derivative data as the cost data label of the sample derivative data; and performing model training on the pre-constructed cost prediction model based on the sample derivative data and the cost data label of the sample derivative data.

[0110] Each module in the above typical cost revision device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0111] In an exemplary embodiment, a computer device is provided, the internal structure of which can be shown as follows: Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a typical cost revision method for a substation project is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0112] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0113] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0114] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0115] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0116] Among them, the comprehensive cost revision rate is determined in the following way:

[0117] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0118] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0119] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0120] In one embodiment, when the processor executes the computer program, the following steps are also implemented: the proportion of the cost data under the cost category to which the cost influencing factor belongs to the sum of the cost data corresponding to at least one cost influencing factor is used to determine the proportion of the cost expense corresponding to the cost influencing factor; the proportion of the cost influence data corresponding to the cost influencing factor in the latest revision period to the cost influence data corresponding to the same cost influencing factor in the previous revision period is used as the influence data change rate; the product of the cost expense proportion and the influence data change rate is used as the reference cost revision rate corresponding to the cost influencing factor.

[0121] In one embodiment, when the processor executes the computer program, the following steps are also implemented: the average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category is used as the cost revision rate corresponding to the cost category; and the sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate.

[0122] In one embodiment, when the processor executes the computer program, the following steps are also implemented: obtaining historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods; for any historical revision period, using the historical impact data in the historical revision period as an independent variable and the standard cost data in the historical revision period as a dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period; selecting key influencing factors from different cost influencing factors according to the cost impact weights of different cost influencing factors in different historical revision periods; obtaining cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, as well as cost data under at least one cost category.

[0123] In one embodiment, when the processor executes the computer program, the following steps are also implemented: for any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; a preset number of cost influencing factors with higher target cost impact weights are selected as key influencing factors.

[0124] In one embodiment, when the processor executes the computer program, the following steps are also implemented: historical impact data corresponding to different cost impact factors in the historical revision period are input into the trained cost prediction model to obtain standard cost data in the historical revision period; wherein the cost prediction model is trained in the following manner: sample impact data corresponding to different cost impact factors of the target substation project in the sample revision period, and cost data labels corresponding to the sample impact data are obtained; the impact value of any sample impact data under at least one cost impact factor is adjusted to generate sample derivative data of the sample impact data; the cost data label of the sample impact data corresponding to the sample derivative data is used as the cost data label of the sample derivative data; and a pre-constructed cost prediction model is trained according to the sample derivative data and the cost data label of the sample derivative data.

[0125] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0126] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0127] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0128] Among them, the comprehensive cost revision rate is determined in the following way:

[0129] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0130] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0131] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0132] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the cost data under the cost category to which the cost influencing factor belongs is taken as the proportion of the sum of the cost data corresponding to at least one cost influencing factor to determine the cost expense proportion corresponding to the cost influencing factor; the change data of the cost influence data corresponding to the cost influencing factor in the latest revision period is taken as the proportion of the cost influence data corresponding to the same cost influencing factor in the previous revision period as the influence data change rate; the product of the cost expense proportion and the influence data change rate is taken as the reference cost revision rate corresponding to the cost influencing factor.

[0133] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category is used as the cost revision rate corresponding to the cost category; the sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate.

[0134] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods; for any historical revision period, using the historical impact data in the historical revision period as an independent variable and the standard cost data in the historical revision period as a dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period; selecting key influencing factors from different cost influencing factors based on the cost impact weights of different cost influencing factors in different historical revision periods; obtaining cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, as well as cost data under at least one cost category.

[0135] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; a preset number of cost influencing factors with higher target cost impact weights are selected as key influencing factors.

[0136] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: historical impact data corresponding to different cost impact factors in the historical revision period are input into the trained cost prediction model to obtain standard cost data in the historical revision period; wherein the cost prediction model is trained in the following manner: sample impact data corresponding to different cost impact factors of the target substation project in the sample revision period, and cost data labels corresponding to the sample impact data are obtained; the impact value of any sample impact data under at least one cost impact factor is adjusted to generate sample derivative data of the sample impact data; the cost data label of the sample impact data corresponding to the sample derivative data is used as the cost data label of the sample derivative data; and a pre-constructed cost prediction model is trained according to the sample derivative data and the cost data label of the sample derivative data.

[0137] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0138] Obtain the historical typical cost and comprehensive cost revision rate of the target substation project;

[0139] Revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project;

[0140] Among them, the comprehensive cost revision rate is determined in the following way:

[0141] Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category;

[0142] Determine the reference cost revision rate for the target substation project based on the cost data of the cost category to which the cost influencing factors belong and the change data of the cost influencing factors corresponding to the cost influencing data during the latest revision period;

[0143] A comprehensive cost revision rate is determined according to a reference cost revision rate corresponding to at least one cost influencing factor.

[0144] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the cost data under the cost category to which the cost influencing factor belongs is taken as the proportion of the sum of the cost data corresponding to at least one cost influencing factor to determine the cost expense proportion corresponding to the cost influencing factor; the change data of the cost influence data corresponding to the cost influencing factor in the latest revision period is taken as the proportion of the cost influence data corresponding to the same cost influencing factor in the previous revision period as the influence data change rate; the product of the cost expense proportion and the influence data change rate is taken as the reference cost revision rate corresponding to the cost influencing factor.

[0145] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category is used as the cost revision rate corresponding to the cost category; the sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate.

[0146] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods; for any historical revision period, using the historical impact data in the historical revision period as an independent variable and the standard cost data in the historical revision period as a dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period; selecting key influencing factors from different cost influencing factors based on the cost impact weights of different cost influencing factors in different historical revision periods; obtaining cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, as well as cost data under at least one cost category.

[0147] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; a preset number of cost influencing factors with higher target cost impact weights are selected as key influencing factors.

[0148] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: historical impact data corresponding to different cost impact factors in the historical revision period are input into the trained cost prediction model to obtain standard cost data in the historical revision period; wherein the cost prediction model is trained in the following manner: sample impact data corresponding to different cost impact factors of the target substation project in the sample revision period, and cost data labels corresponding to the sample impact data are obtained; the impact value of any sample impact data under at least one cost impact factor is adjusted to generate sample derivative data of the sample impact data; the cost data label of the sample impact data corresponding to the sample derivative data is used as the cost data label of the sample derivative data; and a pre-constructed cost prediction model is trained according to the sample derivative data and the cost data label of the sample derivative data.

[0149] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0150] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0151] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A typical cost revision method for a substation project, characterized in that: include: Obtain the historical typical cost and comprehensive cost revision rate of the target substation project; Revising the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project; The comprehensive cost revision rate is determined in the following manner: Obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period, and cost data under at least one cost category; Determine the reference cost revision rate for the target substation project according to the cost data under the cost category to which the cost influencing factor belongs and the change data of the cost influencing data corresponding to the cost influencing factor during the latest revision period; The comprehensive cost revision rate is determined according to the reference cost revision rate corresponding to the at least one cost influencing factor.

2. The method according to claim 1, characterized in that Determining the reference cost revision rate for the target substation project according to the cost data of the cost category to which the cost influencing factor belongs and the change data of the cost influencing data corresponding to the cost influencing factor in the latest revision period includes: Determine the proportion of the cost expense corresponding to the cost influencing factor by taking the proportion of the cost data under the cost category to which the cost influencing factor belongs and the sum of the cost data corresponding to the at least one cost influencing factor; The change data of the cost impact data corresponding to the cost impact factor in the latest revision period and the proportion of the cost impact data corresponding to the same cost impact factor in the previous revision period of the latest revision period are used as the impact data change rate; The product of the construction cost proportion and the change rate of the influencing data is used as the reference cost revision rate corresponding to the cost influencing factor.

3. The method according to claim 1, characterized in that The determining the comprehensive cost revision rate according to the reference cost revision rate corresponding to the at least one cost influencing factor includes: The average of the reference cost revision rates corresponding to the cost influencing factors belonging to the same cost category is used as the cost revision rate corresponding to the cost category; The sum of the cost revision rates corresponding to different cost categories is used as the comprehensive cost revision rate.

4. The method according to claim 1, characterized in that: The step of obtaining cost impact data corresponding to at least one cost impact factor of the target substation project in the latest revision period and cost data under at least one cost category includes: Obtaining historical impact data corresponding to different cost influencing factors of the target substation project in different historical revision periods and standard cost data in the corresponding historical revision periods; For any historical revision period, the historical impact data in the historical revision period is used as the independent variable, and the standard cost data in the historical revision period is used as the dependent variable for linear fitting to obtain the cost impact weights of different cost influencing factors in the historical revision period; According to the cost impact weights of different cost impact factors in different historical revision periods, key impact factors are selected from different cost impact factors; Obtain cost impact data corresponding to at least one key influencing factor of the target substation project in the latest revision period, and cost data under at least one cost category.

5. The method according to claim 4, characterized in that According to the cost impact weights of different cost impact factors in different historical revision periods, key impact factors are selected from different cost impact factors, including: For any cost influencing factor, the average of the cost impact weights of the cost influencing factor in different historical revision periods is used as the target cost impact weight; A preset number of cost influencing factors with higher target cost influencing weights are selected as key influencing factors.

6. The method according to claim 4, characterized in that The standard cost data under the historical revision period is obtained in the following way: Inputting the historical impact data corresponding to different cost impact factors in the historical revision period into the trained cost prediction model to obtain the standard cost data in the historical revision period; The cost prediction model is trained in the following way: Obtaining sample impact data corresponding to different cost impact factors of the target substation project during a sample revision period, and cost data labels corresponding to the sample impact data; Adjusting the influence value of any sample influence data under at least one cost influence factor to generate sample derivative data of the sample influence data; Using the cost data label of the sample-derived data corresponding to the sample-influencing data as the cost data label of the sample-derived data; Model training is performed on a pre-built cost prediction model according to the sample derived data and the cost data labels of the sample derived data.

7. A typical cost revision device, characterized in that: The device comprises: An acquisition module is used to obtain the historical typical cost and comprehensive cost revision rate of the target substation project; The revision module is used to revise the historical typical cost according to the comprehensive cost revision rate to obtain the target typical cost of the target substation project.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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