Data processing method and device for intelligent construction type selection

Abstract

The invention discloses a data processing method and device for intelligent construction type selection. The method comprises the steps of obtaining to-be-processed construction facility data; performing first screening processing based on a multi-factor evaluation model on construction type selection data in a preset construction type selection database according to the to-be-processed construction facility data to obtain screened construction type selection data; performing model selection scheme recommendation processing based on an intelligent model selection model on the screened construction model selection data to obtain recommended construction model selection data; and performing scheme optimization processing based on a model selection optimization model on the recommended construction model selection data to obtain target construction model selection data. According to the technical scheme, the target construction type selection data is obtained by sequentially carrying out preliminary screening based on multi-factor evaluation on the demand data of the to-be-constructed facility, recommending the intelligent type selection model and optimizing the scheme for recommending the type selection data, intelligent type selection of the construction scheme of the to-be-constructed facility is achieved, and the technical effect of improving the type selection efficiency and the intelligent degree is achieved.

Description

Technical Field

[0001] The present application relates to the field of urban infrastructure construction. Specifically, it relates to a data processing method and device for intelligent selection in construction. Background Art

[0002] With the acceleration of the urbanization process, the construction of underground infrastructure is increasing day by day. Traditional construction methods have problems such as information islands, low efficiency, and high safety risks.

[0003] The selection of construction plans for traditional underground infrastructure requires, based on the construction requirement data of the infrastructure, combined with the experience of technicians, through data calculation, to form a construction plan for the infrastructure. Determining the construction plan for the infrastructure depends on the professional knowledge and work experience of technicians, and the amount of data to be calculated is large. Therefore, the workload of determining the construction plan for the facilities is large and time-consuming, resulting in a low efficiency of construction plan selection.

[0004] Therefore, in the prior art, there is a problem of low efficiency in construction selection for facilities. Summary of the Invention

[0005] The main purpose of the present application is to provide a data processing method and device for intelligent selection in construction, so as to solve the technical problem of low efficiency in infrastructure construction selection in the prior art, and achieve the technical effects of improving the selection efficiency and the degree of intelligence.

[0006] To achieve the above object, in the first aspect of the present application, a data processing method for intelligent selection in construction is proposed, including:

[0007] Obtain the construction facility data to be processed, where the construction facility data to be processed is the requirement data for representing the facility to be constructed;

[0008] Perform a first screening process on the construction selection data in the preset construction selection database based on a multi-factor evaluation model according to the construction facility data to be processed, to obtain the screened construction selection data;

[0009] Perform a selection plan recommendation process on the screened construction selection data based on an intelligent selection model, to obtain the recommended construction selection data;

[0010] Perform a plan optimization process on the recommended construction selection data based on a selection optimization model, to obtain the target construction selection data.

[0011] Further, performing a selection plan recommendation process on the screened construction selection data based on an intelligent selection model, to obtain the recommended construction selection data includes:

[0012] Perform extraction processing based on construction characteristics on the to-be-processed construction facility data to obtain to-be-processed facility construction characteristic data, where the to-be-processed facility construction characteristic data is construction characteristic data used to represent the to-be-constructed facility;

[0013] Perform extraction processing based on construction characteristics on the screened construction selection data to obtain screened construction characteristic data, where the screened construction characteristic data is data used to represent the construction characteristics corresponding to the screened construction selection data;

[0014] Perform construction characteristic matching processing based on the intelligent selection model on the to-be-processed facility construction characteristic data and the screened construction characteristic data to obtain construction matching characteristic data, where the construction matching characteristic data is characteristic data used to represent the matching degree between the screened construction selection data and the to-be-processed facility selection;

[0015] Perform selection scheme recommendation processing on the screened construction selection data according to the construction matching characteristic data to obtain the recommended construction selection data.

[0016] Further, performing selection scheme recommendation processing on the screened construction selection data according to the construction matching characteristic data to obtain the recommended construction selection data includes:

[0017] Perform sorting processing based on the matching characteristic value on the construction matching characteristic data to obtain a process recommended construction selection sequence;

[0018] Perform screening processing of a preset selection quantity on the process recommended construction selection sequence based on the descending order of the matching characteristic value to obtain the recommended construction selection data.

[0019] Further, performing scheme optimization processing based on the selection optimization model on the recommended construction selection data to obtain the target construction selection data includes:

[0020] Perform evaluation characteristic extraction processing on the recommended construction selection data to obtain multiple evaluation characteristic data, where the multiple evaluation characteristic data is data used to represent multiple evaluation characteristics of the selection scheme corresponding to the recommended construction selection data;

[0021] Construct a selection optimization model according to the multiple evaluation characteristic data to obtain a multi-objective selection optimization model;

[0022] Perform model iteration optimization processing on the multi-objective selection optimization model to obtain the target construction selection data, where the target construction selection data is optimization construction selection data used to represent meeting the preset iteration rules.

[0023] Further, performing model iteration optimization processing on the multi-objective selection optimization model to obtain the target construction selection data includes:

[0024] Perform data extraction processing on the recommended construction selection data based on the construction plan to obtain initial recommended construction plan data;

[0025] Perform plan update processing on the initial recommended construction plan data based on the multi-objective selection optimization model to obtain updated construction plan data;

[0026] Perform plan evaluation processing on the updated construction plan data based on the multi-objective selection optimization model to obtain updated plan evaluation feature data;

[0027] If the updated plan evaluation feature data meets the preset iteration rule, obtain the target construction selection data, where the target construction selection data is used to represent the construction selection data corresponding to the updated construction plan data;

[0028] If the updated plan evaluation feature data does not meet the preset iteration rule, perform iterative optimization processing on the updated construction plan data based on the multi-objective selection optimization model until the plan evaluation feature data corresponding to the iterative updated plan meets the preset iteration rule, and obtain the target construction selection data.

[0029] Further, perform a first screening process on the construction selection data in the preset construction selection database based on the multi-factor evaluation model according to the to-be-processed construction facility data, and the obtained screened construction selection data includes:

[0030] Perform evaluation index extraction processing on the to-be-processed construction facility data based on the multi-factor evaluation model to obtain multiple evaluation index data, where the multiple evaluation index data is used to represent the index data for evaluating the construction selection data in the preset construction selection database;

[0031] Perform multi-factor comprehensive evaluation processing on the construction selection data in the preset construction selection database according to the multiple evaluation index data to obtain multiple construction selection comprehensive evaluation data;

[0032] Perform screening processing on the multiple construction selection comprehensive evaluation data based on the preset comprehensive evaluation rule to obtain the screened construction selection data, where the screened construction selection data is used to represent the construction selection data corresponding to the construction selection comprehensive evaluation data that meets the preset comprehensive evaluation rule.

[0033] Further, before obtaining the to-be-processed construction facility data, the method further includes:

[0034] Obtain sample facility construction data, where the sample facility construction data is used to represent the construction data of the sample construction facility;

[0035] Extract and process the sample construction facility data based on the construction demand characteristics to obtain the sample parameter construction characteristic data, the sample environmental construction characteristic data, and the sample safety construction characteristic data. Among them, the sample parameter construction characteristic data is the characteristic data used to represent the parameter characteristics of the sample construction facility, the sample environmental construction characteristic data is the characteristic data used to represent the environmental impact of the sample construction facility, and the sample safety construction characteristic data is the characteristic data used to represent the safety characteristics of the sample construction facility;

[0036] Extract and process the sample facility construction data based on the construction plan characteristics to obtain the sample construction plan characteristic data, where the sample construction plan characteristic data is the characteristic data used to represent the sample facility construction plan;

[0037] Use the sample parameter construction characteristic data, the sample environmental construction characteristic data, and the sample safety construction characteristic data as the input of the preset training model, and use the sample construction plan characteristic data as the output of the preset training model. Perform model training on the preset training model to obtain the intelligent selection model.

[0038] According to the second aspect of the present application, a data processing device for intelligent construction selection is proposed, including:

[0039] A data acquisition module for acquiring the construction facility data to be processed, where the construction facility data to be processed is the demand data used to represent the facility to be constructed;

[0040] A screening module for performing a first screening process on the construction selection data in the preset construction selection database based on a multi-factor evaluation model according to the construction facility data to be processed to obtain the screened construction selection data;

[0041] A recommendation module for performing a selection plan recommendation process on the screened construction selection data based on the intelligent selection model to obtain the recommended construction selection data;

[0042] An optimization module for performing a plan optimization process on the recommended construction selection data based on the selection optimization model to obtain the target construction selection data.

[0043] According to the third aspect of the present application, a computer-readable storage medium is proposed. The computer-readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the above-mentioned data processing method for intelligent construction selection.

[0044] According to a fourth aspect of the present application, an electronic device is provided, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the above-mentioned data processing method for intelligent construction selection.

[0045] The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

[0046] In the present application, the to-be-processed construction facility data is obtained, wherein the to-be-processed construction facility data is demand data for representing the to-be-constructed facility; the construction selection data in the preset construction selection database is subjected to a first screening process based on a multi-factor evaluation model according to the to-be-processed construction facility data to obtain the screened construction selection data; the screened construction selection data is subjected to a selection scheme recommendation process based on an intelligent selection model to obtain the recommended construction selection data; and the recommended construction selection data is subjected to a scheme optimization process based on a selection optimization model to obtain the target construction selection data. By sequentially performing preliminary screening based on multi-factor evaluation, recommendation by the intelligent selection model, and scheme optimization of the recommended selection data on the demand data of the to-be-constructed facility, the target construction selection data is obtained, realizing the intelligent selection of the construction scheme for the to-be-constructed facility and achieving the technical effects of improving the selection efficiency and the degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings constituting a part of the present application are used to provide a further understanding of the present application, making other features, objectives, and advantages of the present application more obvious. The schematic embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0048] Figure 1 is a flowchart of a data processing method for intelligent construction selection provided by the present application;

[0049] Figure 2 is a flowchart of a data processing method for intelligent construction selection provided by the present application;

[0050] Figure 3 is a flowchart of a data processing method for intelligent construction selection provided by the present application;

[0051] Figure 4 is a flowchart of a data processing method for intelligent construction selection provided by the present application;

[0052] Figure 5 is a schematic diagram of a data processing device for intelligent construction selection provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] In order to enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the scope of protection of this application.

[0054] It should be noted that the terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances, so as to implement the embodiments of this application described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0055] In this application, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", etc. is based on the orientation or positional relationship shown in the drawings. These terms are mainly used to better describe this application and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation, or be constructed and operated in a specific orientation.

[0056] Moreover, in addition to being able to represent an orientation or positional relationship, some of the above terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in this application can be understood according to specific circumstances.

[0057] In addition, the terms "install", "set", "provided with", "connect", "connected", "socketed" should be understood in a broad sense. For example, "connect" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or there can be internal communication between two devices, elements or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0058] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed. Figure 1 It is a flowchart of a data processing method for intelligent construction selection provided by the present application. As Figure 1 shown, the method includes the following steps:

[0059] S101: Obtain the construction facility data to be processed;

[0060] The construction facility data to be processed is demand data used to represent the facilities to be constructed. The facility demand data includes: facility dimension parameter data, such as cross-section dimensions, including parameters such as width and height; load-bearing capacity data, which is the maximum load that the facility needs to bear, including static load and dynamic load; geological condition data, including data such as soil type, groundwater level, and rock hardness; environmental impact data, which is data used to evaluate the impact of construction on the environment, such as noise, vibration, and ground settlement; construction safety data, which is data used to represent safety standards and protection measures during the construction process.

[0061] S102: Perform a first screening process on the construction selection data in the preset construction selection database based on a multi-factor evaluation model according to the construction facility data to be processed, and obtain the screened construction selection data;

[0062] Various construction plan data are stored in the preset construction selection database.

[0063] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed. Figure 2 It is a flowchart of a data processing method for intelligent construction selection provided by the present application. As Figure 2 shown, the method includes the following steps: including:

[0064] S201: Perform an evaluation index extraction process on the construction facility data to be processed based on a multi-factor evaluation model, and obtain multiple evaluation index data;

[0065] The multiple evaluation index data are index data used to evaluate the construction selection data in the preset construction selection database. According to the multi-factor evaluation model, match the corresponding evaluation index system for the demand data of the facility to be processed, and identify the evaluation indexes corresponding to the demand of the facility to be processed. For example, cross-section adaptability, load-bearing capacity, geological adaptability, environmental impact, and construction safety; according to the different demand degrees of different indexes for the demand of the facility to be processed, determine the index weights corresponding to the above evaluation indexes. For example, if the facility to be processed has a greater demand for load-bearing capacity, match an evaluation index system with a greater weight for load-bearing capacity.

[0066] S202: Perform multi-factor comprehensive evaluation processing on the construction selection data in the preset construction selection database according to multiple evaluation index data to obtain multiple comprehensive evaluation data of construction selection;

[0067] In an alternative embodiment of the present application, according to the requirement information of the facility to be processed, determine the evaluation index data, including evaluation indexes and index weights, cross-section adaptability (weight w1), bearing capacity (weight w2), geological adaptability (weight w3), environmental impact (weight w4), construction safety (weight w5); perform standardization processing on the data of each of the above evaluation indexes. For example, for the cross-section adaptability x1, the standardization formula is:

[0068]

[0069] Perform comprehensive evaluation processing on multiple construction selection data in the preset construction selection database based on the above evaluation index data, and calculate the comprehensive score S for each selection data. S = w 1 ·x′ 1 +w 2 ·x′ 2 +w 3 ·x′ 3 +w 4 ·x′ 4 +w 5 ·x′ 5 , where xi' is the standardized index value and wi is the corresponding weight.

[0070] S203: Perform screening processing on multiple comprehensive evaluation data of construction selection based on a preset comprehensive evaluation rule to obtain screened construction selection data.

[0071] The screened construction selection data is the construction selection data corresponding to the comprehensive evaluation data of construction selection that meets the preset comprehensive evaluation rule. Perform screening processing on the construction selection data based on the comprehensive score S. Select the selection data with the comprehensive score S within the preset comprehensive score threshold range to obtain the screened construction selection data, so as to achieve the preliminary screening of the selection scheme and improve the construction selection efficiency.

[0072] S103: Perform selection scheme recommendation processing on the screened construction selection data based on an intelligent selection model to obtain recommended construction selection data;

[0073] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed, including:

[0074] Perform extraction processing based on construction characteristics on the construction facility data to be processed, and obtain the construction characteristic data of the facility to be processed. The construction characteristic data of the facility to be processed is the construction characteristic data used to represent the facility to be constructed; perform extraction processing based on construction characteristics on the selected construction option data, and obtain the selected construction characteristic data. The selected construction characteristic data is the data of the construction characteristics corresponding to the selected construction option data; perform construction characteristic matching processing based on the intelligent selection model on the construction characteristic data of the facility to be processed and the selected construction characteristic data, and obtain the construction matching characteristic data. The construction matching characteristic data is the characteristic data used to represent the matching degree between the selected construction option data and the facility to be processed; perform selection scheme recommendation processing on the selected construction option data according to the construction matching characteristic data, and obtain the recommended construction option data.

[0075] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed, including: performing sorting processing based on the matching characteristic value on the construction matching characteristic data to obtain a process recommended construction option sequence; performing screening processing of a preset selection quantity on the process recommended construction option sequence based on the matching characteristic value from high to low to obtain the recommended construction option data.

[0076] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed. Before obtaining the construction facility data to be processed, Figure 3 The flowchart of a data processing method for intelligent construction selection provided by the present application is as Figure 3 shown, and the method further includes the following steps:

[0077] S301: Obtain the construction data of the sample facility;

[0078] The construction data of the sample facility is the construction data used to represent the sample construction facility;

[0079] S302: Perform extraction processing based on the construction requirement characteristics on the construction data of the sample facility to obtain the sample parameter construction characteristic data, the sample environment construction characteristic data, and the sample safety construction characteristic data;

[0080] The sample parameter construction feature data is the feature data used to represent the parameter features of the sample construction facilities. The sample environmental construction feature data is the feature data used to represent the environmental impact of the sample construction facilities. The sample safety construction feature data is the feature data used to represent the safety features of the sample construction facilities. The parameter features are the features used to represent the construction parameters of the facilities, such as the cross-section size (including width, height, etc.), bearing capacity (including static load and dynamic load), geological conditions (soil type, groundwater level, rock hardness, etc.) construction parameter data; the environmental impact features are the features used to represent the environmental impact of the facility construction, such as noise level, vibration intensity, etc.; the safety features are the features used to represent the safety of the facility construction, such as accident rate, risk level, etc.

[0081] S303: Extract and process the sample facility construction data based on the construction plan features to obtain the sample construction plan feature data. The sample construction plan feature data is the feature data used to represent the sample facility construction plan.

[0082] The construction plan feature data includes the first construction plan feature data and the second construction plan feature data. The first construction plan feature data is the feature data used to represent the support plan, and the second construction plan feature data is the feature data used to represent the excavation plan.

[0083] S304: Use the sample parameter construction feature data, the sample environmental construction feature data, and the sample safety construction feature data as the input of the preset training model, and use the sample construction plan feature data as the output of the preset training model. Perform model training processing on the preset training model to obtain the intelligent selection model.

[0084] In an alternative embodiment of the present application, by using the decision tree algorithm to train the model, the above sample parameter construction feature data, the sample environmental construction feature data, and the sample safety construction feature data are used as the model input, and the first construction plan feature data and the second construction plan feature data are used as the model output. Perform training processing on the model, divide the sample data into a training set and a test set, use the training set to train the decision tree model, use the test set to evaluate the model performance and adjust the model parameters to obtain the intelligent selection model.

[0085] S104: Perform scheme optimization processing on the recommended construction selection data based on the selection optimization model to obtain the target construction selection data.

[0086] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed. Figure 4 This is a flowchart of a data processing method for intelligent construction selection provided by the present application. As Figure 4 shown, the method includes the following steps:

[0087] S401: Extract evaluation features from the recommended construction selection data to obtain multiple evaluation feature data;

[0088] The multiple evaluation feature data are data representing multiple evaluation features of the selection scheme corresponding to the recommended construction selection data.

[0089] S402: Construct a selection optimization model based on the multiple evaluation feature data to obtain a multi-objective selection optimization model;

[0090] Define the optimization objective function F, including three objectives: cost, efficiency, and safety:

[0091] F = α·Cost + β·Time + γ·Safety,

[0092] where α, β, and γ are the weights of cost, time, and safety respectively.

[0093] S403: Perform model iterative optimization processing on the multi-objective selection optimization model to obtain the target construction selection data.

[0094] The target construction selection data are data representing the optimized construction selection data that meet the preset iteration rules.

[0095] In some alternative embodiments of the present application, a data processing method for intelligent construction selection is proposed, including:

[0096] Perform data extraction processing based on the construction plan on the recommended construction selection data to obtain the initial recommended construction plan data; perform plan update processing based on the multi-objective selection optimization model on the initial recommended construction plan data to obtain the updated construction plan data; perform plan evaluation processing based on the multi-objective selection optimization model on the updated construction plan data to obtain the updated plan evaluation feature data; if the updated plan evaluation feature data meet the preset iteration rules, obtain the target construction selection data, and the target construction selection data are data representing the construction selection data corresponding to the updated construction plan data; if the updated plan evaluation feature data do not meet the preset iteration rules, perform iterative optimization processing on the updated construction plan data based on the multi-objective selection optimization model until the plan evaluation feature data corresponding to the iterative updated plan meet the preset iteration rules, and obtain the target construction selection data.

[0097] In an alternative embodiment of the present application, the iterative optimization of the recommended selection scheme based on the above objective optimization function includes: initializing a population, where each individual represents a support and excavation scheme, the population size is N, and the gene encoding of each individual represents the parameters of the scheme (such as support type, excavation depth, etc.); fitness evaluation, calculating the fitness value of each individual, that is, the value of the objective function F. The lower the fitness value, the better the scheme; selection operation, using the proportional selection method to select individuals to enter the next generation according to the fitness value; crossover operation, randomly selecting two individuals for crossover operation to generate new individuals, and the crossover probability is Pc; mutation operation, performing mutation operation on the newly generated individuals, randomly changing the values of some genes, and the mutation probability is Pm; iterative optimization, repeating the fitness evaluation, selection, crossover and mutation operations until the preset number of iterations is reached or the fitness value converges; outputting the optimal scheme, outputting the individual with the lowest fitness value, that is, the optimal support and excavation scheme.

[0098] In some alternative embodiments of the present application, a data processing device for intelligent construction selection is proposed. Figure 5 The following is a schematic diagram of a data processing device for intelligent construction selection provided by the present application, as Figure 5 shown, including:

[0099] A data acquisition module 51, configured to acquire data of the construction facility to be processed, where the data of the construction facility to be processed is demand data used to represent the construction facility to be constructed;

[0100] A screening module 52, configured to perform a first screening process on the construction selection data in the preset construction selection database based on a multi-factor evaluation model according to the data of the construction facility to be processed, to obtain screened construction selection data;

[0101] A recommendation module 53, configured to perform a selection scheme recommendation process on the screened construction selection data based on an intelligent selection model, to obtain recommended construction selection data;

[0102] An optimization module 54, configured to perform a scheme optimization process on the recommended construction selection data based on a selection optimization model, to obtain target construction selection data.

[0103] The specific manners of the execution operations of the above-mentioned units in the embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0104] In summary, in the present application, construction facility data to be processed is obtained, where the construction facility data to be processed is demand data used to represent a facility to be constructed; the construction selection data in a preset construction selection database is subjected to a first screening process based on a multi-factor evaluation model according to the construction facility data to be processed to obtain screened construction selection data; a selection plan recommendation process based on an intelligent selection model is performed on the screened construction selection data to obtain recommended construction selection data; and a plan optimization process based on a selection optimization model is performed on the recommended construction selection data to obtain target construction selection data. By sequentially performing a preliminary screening based on multi-factor evaluation, recommendation by an intelligent selection model, and plan optimization of the recommended selection data on the demand data of the facility to be constructed, the target construction selection data is obtained, realizing the intelligent selection of the construction plan for the facility to be constructed and achieving the technical effects of improving the selection efficiency and intelligence.

[0105] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0106] Obviously, those skilled in the art should understand that the various units or steps of the present application described above can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Optionally, they can be implemented by program code executable by the computing device, so that they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to be implemented. In this way, the present application is not limited to any specific combination of hardware and software.

[0107] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A data processing method for intelligent construction selection, characterized in that: include: Acquire the construction facility data to be processed, wherein the construction facility data to be processed is demand data for representing the facilities to be constructed; According to the construction facility data to be processed, the construction selection data in the preset construction selection database is subjected to a first screening process based on a multi-factor evaluation model to obtain screened construction selection data; Performing selection scheme recommendation processing on the screened construction selection data based on the intelligent selection model to obtain recommended construction selection data; The recommended construction selection data is subjected to a scheme optimization process based on a selection optimization model to obtain target construction selection data.

2. The data processing method according to claim 1, characterized in that: The screening construction selection data is processed to recommend a selection scheme based on an intelligent selection model, and the recommended construction selection data obtained includes: Performing extraction processing based on construction characteristics on the construction facility data to be processed to obtain construction characteristic data of the facilities to be processed, wherein the construction characteristic data of the facilities to be processed is construction characteristic data used to represent the facilities to be constructed; Performing extraction processing based on construction characteristics on the screening construction selection data to obtain screening construction characteristic data, wherein the screening construction characteristic data is data used to represent the construction characteristics corresponding to the screening construction selection data; Performing construction feature matching processing based on the intelligent selection model on the construction feature data of the facility to be processed and the screened construction feature data to obtain construction matching feature data, wherein the construction matching feature data is feature data used to indicate the degree of matching between the screened construction selection data and the selection of the facility to be processed; The screened construction selection data is processed for selection scheme recommendation according to the construction matching feature data to obtain the recommended construction selection data.

3. The data processing method according to claim 2, characterized in that: The selected construction selection data is processed for selection scheme recommendation according to the construction matching feature data, and the recommended construction selection data is obtained, including: The construction matching feature data is sorted based on matching feature values ​​to obtain a process recommended construction selection sequence; Based on the matching characteristic values, the process recommended construction selection sequence is screened for a preset number of selections from high to low to obtain the recommended construction selection data.

4. The data processing method according to claim 1, characterized in that: The recommended construction selection data is subjected to a scheme optimization process based on a selection optimization model, and the target construction selection data obtained includes: Performing evaluation feature extraction processing on the recommended construction selection data to obtain a plurality of evaluation feature data, wherein the plurality of evaluation feature data are data for representing a plurality of evaluation features of a selection scheme corresponding to the recommended construction selection data; Constructing a type selection optimization model according to the plurality of evaluation feature data to obtain a multi-objective type selection optimization model; The multi-objective selection optimization model is subjected to model iterative optimization processing to obtain the target construction selection data, wherein the target construction selection data is used to represent optimized construction selection data that meets preset iteration rules.

5. The data processing method according to claim 4, characterized in that: The multi-objective selection optimization model is subjected to model iteration optimization processing to obtain the target construction selection data including: Performing data extraction processing on the recommended construction selection data based on the construction plan to obtain initial recommended construction plan data; Performing scheme update processing on the initial recommended construction scheme data based on the multi-objective selection optimization model to obtain updated construction scheme data; Performing scheme evaluation processing on the updated construction scheme data based on a multi-objective selection optimization model to obtain updated scheme evaluation feature data; If the updated scheme evaluation characteristic data satisfies the preset iteration rule, the target construction selection data is obtained, where the target construction selection data is used to represent the construction selection data corresponding to the updated construction scheme data; If the updated scheme evaluation characteristic data does not satisfy the preset iteration rules, the updated construction scheme data is iteratively optimized based on the multi-objective selection optimization model until the scheme evaluation characteristic data corresponding to the iterative updated scheme satisfies the preset iteration rules, thereby obtaining the target construction selection data.

6. The data processing method according to claim 1, characterized in that: According to the construction facility data to be processed, the construction selection data in the preset construction selection database is subjected to a first screening process based on a multi-factor evaluation model, and the screened construction selection data includes: Performing evaluation index extraction processing based on the multi-factor evaluation model on the construction facility data to be processed to obtain a plurality of evaluation index data, wherein the plurality of evaluation index data are index data for representing the evaluation of the construction selection data in the preset construction selection database; Performing a multi-factor comprehensive evaluation process on the construction selection data in the preset construction selection database according to the multiple evaluation index data to obtain multiple construction selection comprehensive evaluation data; The plurality of construction selection comprehensive evaluation data are screened based on preset comprehensive evaluation rules to obtain the screened construction selection data, wherein the screened construction selection data is used to represent the construction selection data corresponding to the construction selection comprehensive evaluation data that meets the preset comprehensive evaluation rules.

7. The data processing method according to claim 1, characterized in that: Before obtaining the construction facility data to be processed, the method further includes: Acquire sample facility construction data, wherein the sample facility construction data is construction data used to represent a sample construction facility; The sample construction facility data is subjected to extraction processing based on construction demand characteristics to obtain sample parameter construction characteristic data, sample environment construction characteristic data and sample safety construction characteristic data, wherein the sample parameter construction characteristic data is parameter characteristic data used to represent the sample construction facility, the sample environment construction characteristic data is characteristic data used to represent the environmental impact of the sample construction facility, and the sample safety construction characteristic data is safety characteristic data used to represent the sample construction facility; Performing extraction processing based on construction plan features on the sample facility construction data to obtain sample construction plan feature data, wherein the sample construction plan feature data is feature data used to represent the sample facility construction plan; The sample parameter construction feature data, the sample environment construction feature data and the sample safety construction feature data are used as inputs of a preset training model, and the sample construction plan feature data is used as output of the preset training model. The preset training model is subjected to model training processing to obtain the intelligent selection model.

8. A data processing device for intelligent construction selection, characterized in that: include: A data acquisition module, used to acquire construction facility data to be processed, wherein the construction facility data to be processed is demand data for representing the facilities to be constructed; A screening module, used for performing a first screening process based on a multi-factor evaluation model on the construction selection data in the preset construction selection database according to the construction facility data to be processed, to obtain screened construction selection data; A recommendation module, used for performing selection scheme recommendation processing on the screened construction selection data based on an intelligent selection model to obtain recommended construction selection data; The optimization module is used to perform scheme optimization processing on the recommended construction selection data based on the selection optimization model to obtain target construction selection data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the data processing method for intelligent construction selection as described in any one of claims 1-7.

10. An electronic device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the data processing method for intelligent construction selection as described in any one of claims 1-7.

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