A concrete index prediction method and device

Abstract

The present invention provides a concrete index prediction method and device, applicable to the field of power transmission line foundation technology. The method comprises: obtaining target parameters and target tower steel indexes; determining a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function; and determining the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index. This method constructs an objective function with the power transmission line foundation category, tower category, and geological category as independent variables, and the ratio of the concrete index to the tower steel index as a dependent variable. Given the target power transmission line foundation category, tower category, geological category, and tower steel index, the method can predict the target concrete index, thereby improving the accuracy of the prediction results.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line foundations, and in particular to a method and device for predicting concrete indicators. Background Art

[0002] With the growing demand for renewable energy transmission, the corresponding construction volume of transmission line projects has also increased significantly. Predicting the performance of concrete foundations for transmission line projects is crucial for investment decisions. Existing technologies rely on the experience of evaluators, resulting in low accuracy. Summary of the Invention

[0003] The embodiments of the present invention provide a concrete index prediction method and device to solve the problem of low accuracy of evaluation results of concrete indexes of transmission line foundations in the prior art.

[0004] In order to solve the above-mentioned technical problems, the present invention is achieved as follows:

[0005] In a first aspect, an embodiment of the present invention provides a method for predicting concrete indicators. The method includes:

[0006] Obtaining target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category;

[0007] Determining a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation category, the tower category, and the geological category as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable;

[0008] The target concrete index is determined according to the ratio of the target concrete index to the target tower steel index and the target tower steel index.

[0009] Optionally, before obtaining the target parameters and target tower steel indicators, the method further includes:

[0010] Acquire multiple sets of different parameter pairs, wherein each set of the parameter pairs includes a first parameter and a second parameter corresponding to the first parameter, the first parameter includes a transmission line foundation category, a tower category, and a geological category, and the second parameter includes a ratio of a concrete index to a tower steel index;

[0011] Taking the first parameter as an independent variable and the second parameter as a dependent variable, a regression analysis is performed on the multiple groups of parameter pairs to obtain an objective function.

[0012] Optionally, the multiple groups of parameter pairs are multiple groups of parameter pairs at target voltage levels;

[0013] The obtaining of target parameters and target tower steel indicators includes:

[0014] Obtain target parameters and target tower steel indicators under the target voltage level.

[0015] Optionally, the number of target parameters is N, where N is an integer greater than 1;

[0016] Determining the ratio of the target concrete index to the target tower steel index based on the target parameter and the target function includes:

[0017] Determining a first ratio corresponding to each group of target parameters according to the objective function and each group of target parameters in the N groups of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index;

[0018] Determining the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index includes:

[0019] Taking a weighted average of the N first ratios to obtain a second ratio;

[0020] The target concrete index is determined according to the second ratio and the target tower steel index.

[0021] In a second aspect, an embodiment of the present invention further provides a concrete index prediction device. The concrete index prediction device includes:

[0022] A first acquisition module is used to acquire target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category;

[0023] a first determination module, configured to determine a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation type, the tower type, and the geological type as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable;

[0024] The second determining module is configured to determine the target concrete index according to the ratio of the target concrete index to the target tower steel index and the target tower steel index.

[0025] Optionally, the device further comprises:

[0026] a second acquisition module, configured to acquire a plurality of different parameter pairs, wherein each parameter pair includes a first parameter and a second parameter corresponding to the first parameter, the first parameter including a transmission line foundation category, a tower category, and a geological category, and the second parameter including a ratio of a concrete index to a tower steel index;

[0027] The first analysis module is used to perform regression analysis on the multiple groups of parameter pairs with the first parameter as an independent variable and the second parameter as a dependent variable to obtain an objective function.

[0028] Optionally, the multiple groups of parameter pairs are multiple groups of parameter pairs at target voltage levels;

[0029] The first acquisition module includes:

[0030] The first acquisition unit is used to acquire target parameters and target tower steel indicators under the target voltage level.

[0031] Optionally, the number of target parameters is N, where N is an integer greater than 1;

[0032] The first determining module includes:

[0033] A first determining unit is configured to determine, based on the objective function and each set of target parameters in the N sets of target parameters, a first ratio corresponding to each set of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index;

[0034] The second determining module includes:

[0035] a second determining unit, configured to perform weighted averaging on the N first ratios to obtain a second ratio;

[0036] The third determining unit is used to determine the target concrete index according to the second ratio and the target tower steel index.

[0037] In a third aspect, an embodiment of the present invention further provides a concrete index prediction device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the above-mentioned concrete index prediction method when executed by the processor.

[0038] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned concrete index prediction method are implemented.

[0039] The concrete index prediction method of the embodiment of the present application obtains target parameters and target tower steel index; determines the ratio of the target concrete index to the target tower steel index based on the target parameters and the objective function; and determines the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index. This method constructs an objective function with the transmission line foundation category, tower category, and geological category as independent variables and the ratio of the concrete index to the tower steel index as the dependent variable. Given the target transmission line foundation category, target tower category, target geological category, and target tower steel index, the method can predict the target concrete index, thereby improving the accuracy of the prediction results. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in describing the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0041] Figure 1 This is a flow chart of the concrete index prediction method provided by the embodiment of the present application;

[0042] Figure 2 is a structural diagram of a concrete index prediction device provided in an embodiment of the present application;

[0043] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0045] The present application embodiment provides a method for predicting concrete indicators. Figure 1 , Figure 1 This is a flow chart of the concrete index prediction method provided by the embodiment of the present application. Figure 1 As shown, the following steps are included:

[0046] Step 101: Obtain target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category;

[0047] In this embodiment of the present application, the target transmission line foundation types may include slab-column foundations, bored foundations, and cast-in-place pile foundations; the target tower types may include linear towers and tension towers; and the target geology may include soil with groundwater, soil without groundwater, and rock. The target tower steel material indicator may be the weight of the tower steel, in units of tons, kilotons, etc.

[0048] Step 102: determining a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation type, the tower type, and the geological type as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable;

[0049] In this embodiment of the present application, by obtaining the ratios of concrete performance indicators to tower steel performance indicators for multiple sets of transmission line foundation categories, multiple sets of tower categories, and multiple sets of geological categories, an objective function is established with the transmission line foundation category, tower category, and geological category as independent variables and the ratio of concrete performance indicators to tower steel performance indicators as the dependent variable. The ratio of the target concrete performance indicators to the target tower steel performance indicators is calculated based on the objective function using the obtained target parameters, namely the target transmission line foundation category, target tower category, and target geological category.

[0050] Step 103: Determine the target concrete index according to the ratio of the target concrete index to the target tower steel index and the target tower steel index.

[0051] By calculating the ratio of the target concrete index to the target tower steel index, and then based on the pre-acquired target tower steel index, the target concrete index can be finally determined. The aforementioned target concrete index can be used to measure the amount of concrete used in actual projects, and the unit can be cubic meters, cubic kilometers, etc.

[0052] It should be noted that in the transmission line foundation project, the transmission line foundation design calculation principle should be fully utilized. The final calculation result of the optimal foundation design should satisfy the resistance equal to the load effect. The load effect is determined by the tower. The weight of the tower is the most core influencing factor, and the amount of concrete used in the foundation is the main influencing factor of resistance. Therefore, it is reasonable to use the ratio of the tower weight to the amount of foundation concrete as the target design quantity. The selection of this feature is in line with the calculation principle. Its influencing factors may include the transmission line foundation type, tower category, and geological category.

[0053] The concrete index prediction method of the embodiment of the present application obtains target parameters and target tower steel index; determines the ratio of the target concrete index to the target tower steel index based on the target parameters and the objective function; and determines the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index. This method constructs an objective function with the transmission line foundation category, tower category, and geological category as independent variables and the ratio of the concrete index to the tower steel index as the dependent variable. Given the target transmission line foundation category, target tower category, target geological category, and target tower steel index, the method can predict the target concrete index, thereby improving the accuracy of the prediction results.

[0054] Optionally, before obtaining the target parameters and target tower steel indicators, the method further includes:

[0055] Acquire multiple sets of different parameter pairs, wherein each set of the parameter pairs includes a first parameter and a second parameter corresponding to the first parameter, the first parameter includes a transmission line foundation category, a tower category, and a geological category, and the second parameter includes a ratio of a concrete index to a tower steel index;

[0056] Taking the first parameter as an independent variable and the second parameter as a dependent variable, a regression analysis is performed on the multiple groups of parameter pairs to obtain an objective function.

[0057] The concrete index prediction method of the embodiment of the present application obtains multiple parameter pairs, wherein the first parameter in the parameter pair includes the transmission line foundation category, the tower category, and the geological category, and the second parameter in the parameter pair includes the ratio of the concrete index to the tower steel index, where the ratio of the concrete index to the tower steel index is the ratio of the concrete index to the tower steel index for the corresponding transmission line foundation category, the corresponding tower category, and the corresponding geological category. Based on the corresponding relationship between the multiple parameter pairs, a regression analysis is performed on the multiple parameter pairs with the first parameter as the independent variable and the second parameter as the dependent variable to obtain an objective function. The regression analysis method can adopt linear regression analysis, polynomial regression analysis, neural network analysis, etc.

[0058] This method obtains the objective function by performing regression analysis on multiple sets of parameter pairs. Based on the known correspondence between the first parameter and the second parameter, the second parameter value is obtained through the first parameter value in actual engineering. It is based on data theory and does not rely on human experience, thereby improving the accuracy of the prediction results.

[0059] Optionally, the multiple groups of parameter pairs are multiple groups of parameter pairs at target voltage levels;

[0060] The obtaining of target parameters and target tower steel indicators includes:

[0061] Obtain target parameters and target tower steel indicators under the target voltage level.

[0062] In the actual construction of transmission line tower projects, the ratio of concrete indicators to tower steel indicators is also affected by the voltage level. However, in a project, the voltage level is uniquely determined. The multiple sets of parameter pairs obtained in the embodiment of the present application are multiple sets of parameter pairs at the target voltage level. Regression analysis of the multiple sets of parameter pairs at the target voltage level is performed to obtain the objective function, which meets the needs of actual project construction and thereby improves the accuracy of the prediction results. Optionally, the number of target parameters is N, where N is an integer greater than 1;

[0063] Determining the ratio of the target concrete index to the target tower steel index based on the target parameter and the target function includes:

[0064] Determining a first ratio corresponding to each group of target parameters according to the objective function and each group of target parameters in the N groups of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index;

[0065] Determining the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index includes:

[0066] Taking a weighted average of the N first ratios to obtain a second ratio;

[0067] The target concrete index is determined according to the second ratio and the target tower steel index.

[0068] In an actual transmission line tower project, multiple transmission line foundation categories, multiple tower categories, and multiple geological categories may coexist. The ratio of concrete indicators to tower steel indicators for each set of transmission line foundation categories, tower categories, and geological categories is obtained, with this ratio being the first ratio. Based on the proportion of each set of transmission line foundation categories, tower categories, and geological categories in the actual transmission line tower project, a weighted average of the ratios of the multiple sets of concrete indicators to tower steel indicators is taken to obtain a second ratio. The target concrete indicator is then determined based on the second ratio and the target tower steel indicator.

[0069] For example, a project has 10 towers: 5 are straight towers, each weighing 10 tons; and 5 are tension towers, each weighing 20 tons. The straight towers use a slab-column foundation for the transmission line, while two of the straight towers have soil and three have rock. The tension towers use a bored foundation for the transmission line, while two of the tension towers have soil and three have rock. The ratio of straight towers, slab-column foundations, and soil is 2*10 / (5*10+5*20); the ratio of straight towers, slab-column foundations, and rock is 3*10 / (5*10+5*20); the ratio of tension towers, bored foundations, and soil is 2*20 / (5*10+5*20); and the ratio of tension towers, bored foundations, and rock is 3*20 / (5*10+5*20). If the objective function is used, the ratio of the concrete index of the straight tower, slab-column foundation, and soil to the steel index of the tower is 15m 3 / t, the ratio of the concrete index of the straight tower, plate-column foundation, and rock to the steel index of the tower is 30m 3 / t, the ratio of the concrete index of the tension tower, the excavated foundation, and the soil to the steel index of the tower is 45m 3 / t, the ratio of the concrete index of the tension tower, the bored foundation, and the rock to the steel index of the tower is 60m 3 / t, then the ratio of the total concrete index of this project to the tower steel index is 44m 3 / t, if the target tower steel index is 2t, then the target concrete index is 44m 3 / t*2t=88t. This method is helpful to predict the target concrete index according to the actual conditions of the project.

[0070] For example, given the target voltage level, the target concrete index prediction formula C can be: where P ijk The ratio of the i-th foundation type to the j-th tower and the k-th geological situation, C ijk Z is the base-to-steel ratio of the i-th foundation type in the j-th tower and the k-th geological condition, L is the number of kilometers, and G is the target tower steel index.

[0071] See also Figure 2 , Figure 2 2 is a structural diagram of a concrete index prediction device provided in another embodiment of the present application. The concrete index prediction device 200 includes:

[0072] A first acquisition module 201 is used to acquire target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category;

[0073] A first determining module 202 is configured to determine a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation type, the tower type, and the geological type as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable;

[0074] The second determining module 203 is configured to determine the target concrete index according to the ratio of the target concrete index to the target tower steel index and the target tower steel index.

[0075] Optionally, the device further comprises:

[0076] a second acquisition module, configured to acquire a plurality of different parameter pairs, wherein each parameter pair includes a first parameter and a second parameter corresponding to the first parameter, the first parameter including a transmission line foundation category, a tower category, and a geological category, and the second parameter including a ratio of a concrete index to a tower steel index;

[0077] The first analysis module is used to perform regression analysis on the multiple groups of parameter pairs with the first parameter as an independent variable and the second parameter as a dependent variable to obtain an objective function.

[0078] Optionally, the multiple groups of parameter pairs are multiple groups of parameter pairs at target voltage levels;

[0079] The first acquisition module includes:

[0080] The first acquisition unit is used to acquire target parameters and target tower steel indicators under the target voltage level.

[0081] Optionally, the number of target parameters is N, where N is an integer greater than 1;

[0082] The first determining module includes:

[0083] A first determining unit is configured to determine, based on the objective function and each set of target parameters in the N sets of target parameters, a first ratio corresponding to each set of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index;

[0084] The second determining module includes:

[0085] a second determining unit, configured to perform weighted averaging on the N first ratios to obtain a second ratio;

[0086] The third determining unit is used to determine the target concrete index according to the second ratio and the target tower steel index.

[0087] See also Figure 3 , Figure 3This is a structural diagram of an electronic device provided by another embodiment of the present invention, such as Figure 3 As shown, the electronic device includes: a processor 301 , a communication interface 302 , a communication bus 304 and a memory 303 , wherein the processor 301 , the communication interface 302 and the memory 303 interact with each other via the communication bus 304 .

[0088] The memory 303 is used to store computer programs; the processor 301 is used to execute the program stored in the memory 303. When the computer program is executed by the processor 301, it is used to obtain target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category;

[0089] Determining a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation category, the tower category, and the geological category as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable;

[0090] The target concrete index is determined according to the ratio of the target concrete index to the target tower steel index and the target tower steel index.

[0091] Optionally, the processor 301 is further configured to:

[0092] Before obtaining the target parameters and the target tower steel index, a plurality of different parameter pairs are obtained, wherein each parameter pair includes a first parameter and a second parameter corresponding to the first parameter, the first parameter includes a transmission line foundation category, a tower category, and a geological category, and the second parameter includes a ratio of a concrete index to a tower steel index;

[0093] Taking the first parameter as an independent variable and the second parameter as a dependent variable, a regression analysis is performed on the multiple groups of parameter pairs to obtain an objective function.

[0094] Optionally, the multiple groups of parameter pairs are multiple groups of parameter pairs at target voltage levels;

[0095] The processor 301 is specifically configured to:

[0096] Obtain target parameters and target tower steel indicators under the target voltage level.

[0097] Optionally, the number of target parameters is N, where N is an integer greater than 1;

[0098] The processor 301 is specifically configured to:

[0099] Determining a first ratio corresponding to each group of target parameters according to the objective function and each group of target parameters in the N groups of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index;

[0100] The processor 301 is specifically configured to:

[0101] Taking a weighted average of the N first ratios to obtain a second ratio;

[0102] The target concrete index is determined according to the second ratio and the target tower steel index.

[0103] The communication bus 304 mentioned in the electronic device can be a Peripheral Component Interconnect (PCT) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of identification, the figure shows only one thick line, but this does not mean that there is only one bus or only one type of data.

[0104] The communication interface 302 is used for communication between the terminal and other devices.

[0105] The memory 303 may include a random access memory (RAM) or a non-volatile memory (non-volatile memory), such as at least one disk storage. Alternatively, the memory 303 may be at least one storage device located away from the processor 301.

[0106] The above-mentioned processor 301 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0107] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When executed by a processor, the computer program implements the various processes of the above-described concrete index prediction method embodiment and achieves the same technical effects. To avoid repetition, the details are not described here. The computer-readable storage medium may be, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0108] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0109] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0110] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are protected by the present invention.

Claims

1. A concrete index prediction method, characterized in that: The method comprises: Obtaining target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category; Determining a ratio of a target concrete index to a target tower steel index based on the target parameters and an objective function, wherein the objective function is a function constructed with the transmission line foundation category, the tower category, and the geological category as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable; Determining the target concrete index according to the ratio of the target concrete index to the target tower steel index and the target tower steel index; Before obtaining the target parameters and target tower steel indicators, the method further includes: Acquire multiple sets of different parameter pairs, wherein each set of the parameter pairs includes a first parameter and a second parameter corresponding to the first parameter, the first parameter includes a transmission line foundation category, a tower category, and a geological category, and the second parameter includes a ratio of a concrete index to a tower steel index; Taking the first parameter as an independent variable and the second parameter as a dependent variable, performing regression analysis on multiple groups of the parameter pairs to obtain an objective function; The number of target parameters is N, where N is an integer greater than 1; Determining the ratio of the target concrete index to the target tower steel index based on the target parameter and the target function includes: Determining a first ratio corresponding to each group of target parameters according to the objective function and each group of target parameters in the N groups of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index; Determining the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index includes: Taking a weighted average of the N first ratios to obtain a second ratio; The target concrete index is determined according to the second ratio and the target tower steel index.

2. The concrete index prediction method according to claim 1, characterized in that: The plurality of parameter pairs are a plurality of parameter pairs at target voltage levels; The obtaining of target parameters and target tower steel indicators includes: Obtain target parameters and target tower steel indicators under the target voltage level.

3. A concrete index prediction device, characterized in that: The device comprises: A first acquisition module is used to acquire target parameters and target tower steel indicators, wherein the target parameters include a target transmission line foundation category, a target tower category, and a target geological category; a first determination module for determining a ratio of a target concrete index to a target tower steel index based on the target parameter and an objective function, wherein the objective function is a function constructed with the transmission line foundation type, the tower type, and the geological type as independent variables and the ratio of the concrete index to the tower steel index as a dependent variable; A second determining module is configured to determine the target concrete index based on the ratio of the target concrete index to the target tower steel index and the target tower steel index; The device further comprises: a second acquisition module, configured to acquire a plurality of different parameter pairs, wherein each parameter pair includes a first parameter and a second parameter corresponding to the first parameter, the first parameter including a transmission line foundation category, a tower category, and a geological category, and the second parameter including a ratio of a concrete index to a tower steel index; a first analysis module, configured to perform regression analysis on a plurality of parameter pairs using the first parameter as an independent variable and the second parameter as a dependent variable to obtain an objective function; The number of target parameters is N, where N is an integer greater than 1; The first determining module includes: A first determining unit is configured to determine, based on the objective function and each set of target parameters in the N sets of target parameters, a first ratio corresponding to each set of target parameters, wherein the first ratio is a ratio of a concrete index to a tower steel index; The second determining module includes: a second determining unit, configured to perform weighted averaging on the N first ratios to obtain a second ratio; The third determining unit is used to determine the target concrete index according to the second ratio and the target tower steel index.

4. The concrete index prediction device according to claim 3, characterized in that: The plurality of parameter pairs are a plurality of parameter pairs at target voltage levels; The first acquisition module includes: The first acquisition unit is used to acquire target parameters and target tower steel indicators under the target voltage level.

5. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the concrete index prediction method according to any one of claims 1 to 2 are implemented.

6. A computer-readable storage medium, characterized in that The readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the concrete index prediction method according to any one of claims 1 to 2 are implemented.

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