Intelligent generation method and device of line construction scheme based on artificial intelligence

Abstract

The embodiment of the invention relates to the field of data processing, and provides an intelligent generation method and device for a line construction scheme based on artificial intelligence, and the method comprises the steps: obtaining the attribute information of a to-be-constructed line; generating first-level progress plan information according to the attribute information; performing construction feasibility evaluation on the first-level progress plan information to obtain a feasibility evaluation result; if the feasibility evaluation result is a normal evaluation result, generating second-level progress plan information by adopting a preset second-level progress plan generation model according to the first-level progress plan information; and displaying the first-level progress plan information and the second-level progress plan information, so that the first-level progress plan information can be automatically generated according to the attribute information and the like of the to-be-constructed line, and when the first-level progress plan information is evaluated to be normal, the second-level progress plan information is automatically generated, so that manual participation is not needed, and the efficiency is improved. And the efficiency of generating the progress plan information is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to an intelligent generation method and device for a line construction plan based on artificial intelligence. Background Art

[0002] In the process of power grid line project construction, the existing scheme usually adopts manual formulation of the first-level schedule. After the formulation is completed, the first-level schedule is submitted for review. The first-level schedule is reviewed by manual review. After the review is successful, the second-level schedule is manually formulated to finally form a complete engineering construction plan. However, in the above scheme, the manual review method is adopted. Since the reviewers need a lot of time to search and review the information during the review, the efficiency of the review is low. Summary of the invention

[0003] The embodiments of the present application provide an intelligent generation method and device for a line construction plan based on artificial intelligence, which can automatically generate primary progress plan information according to the attribute information of the line to be constructed, and automatically generate secondary progress plan information when the primary progress plan information is evaluated as normal, thereby eliminating the need for human participation and improving the efficiency of generating progress plan information.

[0004] A first aspect of an embodiment of the present application provides an intelligent generation method of a line construction plan based on artificial intelligence, the method comprising:

[0005] Obtain the attribute information of the line to be constructed;

[0006] Generate first-level schedule information according to the attribute information;

[0007] Conducting a construction feasibility assessment on the first-level schedule information to obtain a feasibility assessment result;

[0008] If the feasibility assessment result is a normal assessment result, the secondary schedule information is generated according to the primary schedule information using a preset secondary schedule generation model;

[0009] The primary schedule information and the secondary schedule information are displayed.

[0010] In this example, by obtaining the attribute information of the line to be constructed, generating the first-level schedule information according to the attribute information, performing a construction feasibility assessment on the first-level schedule information, and obtaining a feasibility assessment result, if the feasibility assessment result is a normal assessment result, then generating the second-level schedule information according to the first-level schedule information using a preset second-level schedule generation model, and displaying the first-level schedule information and the second-level schedule information. Therefore, the first-level schedule information can be automatically generated according to the attribute information of the line to be constructed, and when the first-level schedule information is assessed to be normal, the second-level schedule information is automatically generated, thereby eliminating the need for manual participation and improving the efficiency of generating schedule information.

[0011] In a possible implementation, generating the first-level schedule information according to the attribute information includes:

[0012] Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed;

[0013] extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information;

[0014] Extract key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information;

[0015] Determine the attribute information of the key nodes in the primary progress information generation template using the key project information;

[0016] The first-level progress information generation template is adjusted according to the attribute information of the key node to obtain the first-level progress plan information.

[0017] In a possible implementation, the method further includes:

[0018] Determining target power outage plan information of the line to be constructed;

[0019] Determine the target power outage plan information of the line to be constructed, including:

[0020] Extracting initial power outage plan information from the first-level progress plan information;

[0021] Extracting tower attribute information from the initial power outage plan information;

[0022] The target power outage plan information is determined according to the attribute information of the tower and the completion time of the power outage precondition.

[0023] In a possible implementation, the method further includes:

[0024] Obtain construction progress adjustment information input by the target user;

[0025] Determine the power outage plan change information according to the construction progress adjustment information;

[0026] The target power outage plan information is subjected to plan change processing according to the power outage plan change information to obtain the changed target power outage plan information.

[0027] In a possible implementation, the method further includes:

[0028] After the line to be constructed is constructed according to the primary progress plan information and the secondary progress plan information, an initial construction image set is obtained;

[0029] Performing filtering processing on the initial construction images in the initial construction image set to obtain a first construction image set;

[0030] Extracting feature data from the first construction image in the first construction image set to obtain a feature data set;

[0031] Using the feature data set to construct a three-dimensional display model to obtain a target three-dimensional display model;

[0032] The target three-dimensional display model is displayed.

[0033] A second aspect of an embodiment of the present application provides an intelligent generation device for a line construction plan based on artificial intelligence, the device comprising:

[0034] An acquisition unit, used to acquire attribute information of the line to be constructed;

[0035] A first generating unit, configured to generate first-level schedule information according to the attribute information;

[0036] An evaluation unit, used to perform a construction feasibility evaluation on the first-level schedule information to obtain a feasibility evaluation result;

[0037] A second generating unit is used to generate secondary schedule information using a preset secondary schedule generation model according to the primary schedule information if the feasibility assessment result is a normal assessment result;

[0038] A display unit is used to display the primary schedule information and the secondary schedule information.

[0039] In this example, by obtaining the attribute information of the line to be constructed, generating the first-level schedule information according to the attribute information, performing a construction feasibility assessment on the first-level schedule information, and obtaining a feasibility assessment result, if the feasibility assessment result is a normal assessment result, then generating the second-level schedule information according to the first-level schedule information using a preset second-level schedule generation model, and displaying the first-level schedule information and the second-level schedule information. Therefore, the first-level schedule information can be automatically generated according to the attribute information of the line to be constructed, and when the first-level schedule information is assessed to be normal, the second-level schedule information is automatically generated, thereby eliminating the need for manual participation and improving the efficiency of generating schedule information.

[0040] In a possible implementation, the first generating unit is specifically configured to:

[0041] Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed;

[0042] extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information;

[0043] Extract key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information;

[0044] Determine the attribute information of the key nodes in the primary progress information generation template using the key project information;

[0045] The first-level progress information generation template is adjusted according to the attribute information of the key node to obtain the first-level progress plan information.

[0046] In a possible implementation, the device is further used for:

[0047] Determining target power outage plan information of the line to be constructed;

[0048] Determine the target power outage plan information of the line to be constructed, including:

[0049] Extracting initial power outage plan information from the first-level progress plan information;

[0050] Extracting tower attribute information from the initial power outage plan information;

[0051] The target power outage plan information is determined according to the attribute information of the tower and the completion time of the power outage precondition.

[0052] In a possible implementation, the device is further used for:

[0053] Obtain construction progress adjustment information input by the target user;

[0054] Determine the power outage plan change information according to the construction progress adjustment information;

[0055] The target power outage plan information is subjected to plan change processing according to the power outage plan change information to obtain the changed target power outage plan information.

[0056] In a possible implementation, the device is further used for:

[0057] After the line to be constructed is constructed according to the primary progress plan information and the secondary progress plan information, an initial construction image set is obtained;

[0058] Performing filtering processing on the initial construction images in the initial construction image set to obtain a first construction image set;

[0059] Extracting feature data from the first construction image in the first construction image set to obtain a feature data set;

[0060] Using the feature data set to construct a three-dimensional display model to obtain a target three-dimensional display model;

[0061] The target three-dimensional display model is displayed.

[0062] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0063] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiments of the present application.

[0064] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art 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 drawings can be obtained based on these drawings without paying creative work.

[0066] Figure 1 A flowchart of an intelligent generation method of a line construction plan based on artificial intelligence is provided for an embodiment of the present application;

[0067] Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0068] Figure 3 A structural schematic diagram of an intelligent generation device for a line construction plan based on artificial intelligence is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0070] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0071] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0072] In order to better understand the intelligent generation method of a line construction plan based on artificial intelligence provided by the embodiment of the present application, the generation method of the line generation construction plan in the existing scheme is first briefly introduced below. In the existing scheme, in the process of constructing the line project of the power grid, the existing scheme usually adopts manual formulation of the first-level schedule. After the formulation is completed, the first-level schedule is submitted for review, and the first-level schedule is reviewed by manual review. After the review is successful, the second-level schedule is manually formulated, and finally a complete engineering construction plan is formed. However, in the above scheme, the manual review method is adopted. Since the auditors need a lot of time to search and review the information during the review, the efficiency during the review is low.

[0073] In order to solve the above-mentioned technical problems, an embodiment of the present application provides an intelligent generation method of a line construction plan based on artificial intelligence, which can automatically generate primary progress plan information according to the attribute information of the line to be constructed, and automatically generate secondary progress plan information when the primary progress plan information is evaluated as normal, thereby eliminating the need for human participation and improving the efficiency of generating progress plan information.

[0074] See also Figure 1 , Figure 1 The present application provides a flowchart of an intelligent generation method of a line construction plan based on artificial intelligence. Figure 1 As shown, the intelligent generation method of the line construction plan based on artificial intelligence includes:

[0075] 101. Obtain attribute information of the line to be constructed.

[0076] The attribute information of the line to be constructed includes the actual scale of the project construction, terrain proportion, corner proportion, meteorological conditions, demolition situation, difficulty of compensation, etc. The line to be constructed is the power grid line that needs to be constructed.

[0077] Standard construction period library as the basis

[0078] 102. Generate first-level schedule information according to the attribute information.

[0079] Among them, the project scale information, terrain ratio information, corner ratio information and meteorological information can be extracted from the attribute information, and then the first-level progress information can be generated according to the first-level progress information generation template corresponding to the attribute information. Therefore, the first-level progress information can be quickly generated according to the first-level progress information generation template.

[0080] 103. Conduct a construction feasibility assessment on the first-level schedule information to obtain a feasibility assessment result.

[0081] When conducting a feasibility assessment, the attribute information of each key node in the first-level schedule information can be compared with the corresponding preset key point attribute information to obtain a similarity set; the variance, maximum similarity, and minimum similarity of the similarity set are extracted. If the variance is greater than a preset variance threshold, and / or the difference between the maximum similarity and the minimum similarity is greater than a preset similarity difference, the feasibility assessment result is determined to be an abnormal assessment result, otherwise, the feasibility assessment result is a normal assessment result. A normal assessment result indicates that the first-level schedule information is implementable schedule information.

[0082] 104. If the feasibility assessment result is a normal assessment result, the secondary schedule information is generated according to the primary schedule information using a preset secondary schedule generation model.

[0083] The preset secondary schedule generation model is a pre-trained model. Specifically, it can be a sample data set with schedule information, related secondary plan progress rules and corresponding secondary schedule information as output results, and the initial model is adjusted. After the corresponding loss function converges, the preset secondary schedule generation model is obtained. Using the preset secondary schedule generation model to generate secondary schedule information can improve the efficiency of generating secondary schedule information.

[0084] 105. Display the primary schedule information and the secondary schedule information.

[0085] The primary schedule information and the secondary schedule information may be displayed on a terminal used by the user, or may be displayed in other ways, which are not specifically limited here.

[0086] In this example, by obtaining the attribute information of the line to be constructed, generating the first-level schedule information according to the attribute information, performing a construction feasibility assessment on the first-level schedule information, and obtaining a feasibility assessment result, if the feasibility assessment result is a normal assessment result, generating the second-level schedule information according to the first-level schedule information using a preset second-level schedule generation model, and displaying the first-level schedule information and the second-level schedule information. Therefore, the first-level schedule information can be automatically generated according to the attribute information of the line to be constructed, and when the first-level schedule information is assessed to be normal, the second-level schedule information is automatically generated, thereby eliminating the need for manual participation and improving the efficiency of generating schedule information.

[0087] In a possible implementation, a method for generating primary schedule information according to the attribute information includes:

[0088] A1. Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed;

[0089] A2. extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information;

[0090] A3, extracting key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information;

[0091] A4. Determine the attribute information of the key nodes in the primary progress information generation template using the key project information;

[0092] A5. Adjust the first-level progress information generation template according to the attribute information of the key node to obtain the first-level progress plan information.

[0093] The first-level progress information generation template is a template pre-stored in the database and can be used to generate the first-level progress information. The template is adapted to the project attribute information and the like.

[0094] The key information of the project scale information, terrain ratio information, corner ratio information and meteorological information is extracted, and the method for obtaining the key information of the project can be to extract keywords from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain a keyword set; and determine the key information of the project according to the semantic information of the keywords in the keyword set. A general keyword extraction method can be used to extract keywords to obtain a keyword set. The semantic information is matched with the preset semantic information to obtain a matching degree, and the keyword corresponding to the semantic information with a matching degree higher than a preset matching degree threshold is determined as the key information of the project.

[0095] The engineering parameter information in the engineering key information can be determined as the attribute information of the corresponding key node. The attribute parameters of the corresponding key node in the primary progress information generation template can be replaced with the attribute parameters corresponding to the attribute information of the key node, so as to adjust the primary progress information generation template and obtain the primary progress plan information. Therefore, the primary progress plan information can be quickly generated.

[0096] In a possible implementation, the target power outage plan information of the line to be constructed may also be automatically determined, as follows:

[0097] B3, extracting initial power outage plan information from the first-level progress plan information;

[0098] B4. extracting tower attribute information from the initial power outage plan information;

[0099] B5. Determine the target power outage plan information according to the attribute information of the tower and the completion time of the power outage precondition.

[0100] Specifically, it can manage the power outage plan of a single line, and the plan of each tower can be managed separately. The completion time of the preconditions for power outage will be associated with the construction module of the corresponding tower and automatically calculated and generated.

[0101] Among them, the power outage plan information of the first-level progress plan information can be determined as the initial power outage plan information.

[0102] The attribute information of the tower includes the construction progress, construction location, construction materials, etc. of the tower. The power outage precondition may be a pre-set power outage precondition. The mapping relationship between the power outage precondition, the attribute information, and the power outage plan may be used to determine the target power outage plan information corresponding to the completion time of the power outage precondition of the attribute information of the tower. Therefore, the target power outage plan information may be quickly determined.

[0103] In a possible implementation, due to different construction progress, the power outage plan may need to be adjusted, which can be adjusted by the following methods:

[0104] C1. Obtain construction progress adjustment information input by the target user;

[0105] C2. Determine the power outage plan change information according to the construction progress adjustment information;

[0106] C3. Perform plan change processing on the target power outage plan information according to the power outage plan change information to obtain the changed target power outage plan information.

[0107] The target user can input the construction progress adjustment information through the input module of the terminal device. Since the construction progress may deviate from the established construction progress during the actual construction, the target user can directly input the construction progress adjustment information at this time. Since the construction progress adjustment information may include the adjustment information of the power outage plan, the power outage plan change information can be extracted from the construction progress adjustment information. The change parameters in the power outage plan change information are used to replace the corresponding parameters in the target power outage plan information, so as to obtain the changed target power outage plan information.

[0108] In a possible implementation, the method further includes:

[0109] D1. After the line to be constructed is constructed according to the primary progress plan information and the secondary progress plan information, an initial construction image set is obtained;

[0110] D2, filtering the initial construction images in the initial construction image set to obtain a first construction image set;

[0111] D3, extracting feature data from the first construction image in the first construction image set to obtain a feature data set;

[0112] D4, constructing a three-dimensional display model using the feature data set to obtain a target three-dimensional display model;

[0113] D5. Display the target three-dimensional display model.

[0114] After the construction of the line to be constructed, it is necessary to evaluate the construction progress and check the construction progress. Therefore, the initial construction image set can be obtained by the construction personnel uploading the images after the construction. The initial construction image set includes the construction images of each key node. For example, after the construction is completed every day, the construction personnel take images of the key nodes and upload them to realize progress reporting.

[0115] A general image filtering method may be used to filter the initial construction image in the initial construction image set to obtain a first construction image set. A method for extracting feature data from the first construction image in the first construction image set to obtain the feature data set may be: the feature data may be contour data, and therefore, contour extraction may be performed on the first construction image to obtain corresponding contour features, thereby obtaining the feature data set. When performing contour extraction, a general contour extraction method may be used to extract and obtain corresponding contour features.

[0116] Point cloud data can be constructed based on the contour feature set to obtain point cloud data; point cloud data can be used to construct a three-dimensional display model to obtain a target three-dimensional display model. Point cloud data can be wrapped based on the coordinate information and pixel values ​​of the feature points of the contour features in the contour feature set to obtain point cloud data, and then a general method for constructing a three-dimensional model based on point cloud data can be used to construct a target three-dimensional display model. This can realize a three-dimensional display of the construction site and improve convenience.

[0117] For the above embodiments, please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, as shown in the figure, includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0118] Obtain the attribute information of the line to be constructed;

[0119] Generate first-level schedule information according to the attribute information;

[0120] Conducting a construction feasibility assessment on the first-level schedule information to obtain a feasibility assessment result;

[0121] If the feasibility assessment result is a normal assessment result, the secondary schedule information is generated according to the primary schedule information using a preset secondary schedule generation model;

[0122] The primary schedule information and the secondary schedule information are displayed.

[0123] In this example, by obtaining the attribute information of the line to be constructed, generating the first-level schedule information according to the attribute information, performing a construction feasibility assessment on the first-level schedule information, and obtaining a feasibility assessment result, if the feasibility assessment result is a normal assessment result, then generating the second-level schedule information according to the first-level schedule information using a preset second-level schedule generation model, and displaying the first-level schedule information and the second-level schedule information. Therefore, the first-level schedule information can be automatically generated according to the attribute information of the line to be constructed, and when the first-level schedule information is assessed to be normal, the second-level schedule information is automatically generated, thereby eliminating the need for manual participation and improving the efficiency of generating schedule information.

[0124] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0125] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0126] In line with the above, see Figure 3 , Figure 3The present application provides a schematic diagram of a structure of an intelligent generation device for a line construction plan based on artificial intelligence. Figure 3 As shown, the intelligent generation device of the line construction plan based on artificial intelligence includes:

[0127] An acquisition unit 301 is used to acquire attribute information of a line to be constructed;

[0128] A first generating unit 302, configured to generate first-level schedule information according to the attribute information;

[0129] An evaluation unit 303 is used to perform a construction feasibility evaluation on the first-level schedule information to obtain a feasibility evaluation result;

[0130] The second generating unit 304 is configured to generate the secondary schedule information by using a preset secondary schedule generating model according to the primary schedule information if the feasibility evaluation result is a normal evaluation result;

[0131] The display unit 305 is used to display the primary schedule information and the secondary schedule information.

[0132] In this example, by obtaining the attribute information of the line to be constructed, generating the first-level schedule information according to the attribute information, performing a construction feasibility assessment on the first-level schedule information, and obtaining a feasibility assessment result, if the feasibility assessment result is a normal assessment result, then generating the second-level schedule information according to the first-level schedule information using a preset second-level schedule generation model, and displaying the first-level schedule information and the second-level schedule information. Therefore, the first-level schedule information can be automatically generated according to the attribute information of the line to be constructed, and when the first-level schedule information is assessed to be normal, the second-level schedule information is automatically generated, thereby eliminating the need for manual participation and improving the efficiency of generating schedule information.

[0133] In a possible implementation, the first generating unit 302 is specifically configured to:

[0134] Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed;

[0135] extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information;

[0136] Extract key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information;

[0137] Determine the attribute information of the key nodes in the primary progress information generation template using the key project information;

[0138] The first-level progress information generation template is adjusted according to the attribute information of the key node to obtain the first-level progress plan information.

[0139] In a possible implementation, the device is further used for:

[0140] Determining target power outage plan information of the line to be constructed;

[0141] Determine the target power outage plan information of the line to be constructed, including:

[0142] Extracting initial power outage plan information from the first-level progress plan information;

[0143] Extracting tower attribute information from the initial power outage plan information;

[0144] The target power outage plan information is determined according to the attribute information of the tower and the completion time of the power outage precondition.

[0145] In a possible implementation, the device is further used for:

[0146] Obtain construction progress adjustment information input by the target user;

[0147] Determine the power outage plan change information according to the construction progress adjustment information;

[0148] The target power outage plan information is subjected to plan change processing according to the power outage plan change information to obtain the changed target power outage plan information.

[0149] In a possible implementation, the device is further used for:

[0150] After the line to be constructed is constructed according to the primary progress plan information and the secondary progress plan information, an initial construction image set is obtained;

[0151] Performing filtering processing on the initial construction images in the initial construction image set to obtain a first construction image set;

[0152] Extracting feature data from the first construction image in the first construction image set to obtain a feature data set;

[0153] Using the feature data set to construct a three-dimensional display model to obtain a target three-dimensional display model;

[0154] The target three-dimensional display model is displayed.

[0155] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the intelligent generation methods of line construction plans based on artificial intelligence as recorded in the above method embodiments.

[0156] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the intelligent generation methods of line construction plans based on artificial intelligence as recorded in the above method embodiments.

[0157] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0158] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0159] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0160] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0161] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0162] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0163] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0164] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An intelligent generation method of a line construction plan based on artificial intelligence, characterized in that: The method comprises: Obtain the attribute information of the line to be constructed; Generate first-level schedule information according to the attribute information; Conducting a construction feasibility assessment on the first-level schedule information to obtain a feasibility assessment result; If the feasibility assessment result is a normal assessment result, the secondary schedule information is generated according to the primary schedule information using a preset secondary schedule generation model; The primary schedule information and the secondary schedule information are displayed.

2. The intelligent generation method of line construction plan based on artificial intelligence according to claim 1 is characterized in that: The step of generating the first-level schedule information according to the attribute information includes: Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed; extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information; Extract key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information; Determine the attribute information of the key nodes in the primary progress information generation template using the key project information; The first-level progress information generation template is adjusted according to the attribute information of the key node to obtain the first-level progress plan information.

3. The intelligent generation method of the line construction plan based on artificial intelligence according to claim 1 or 2 is characterized in that: The method further comprises: Determining target power outage plan information of the line to be constructed; Determine the target power outage plan information of the line to be constructed, including: Extracting initial power outage plan information from the first-level progress plan information; Extracting tower attribute information from the initial power outage plan information; The target power outage plan information is determined according to the attribute information of the tower and the completion time of the power outage precondition.

4. The intelligent generation method of line construction plan based on artificial intelligence according to claim 3 is characterized in that: The method further comprises: Obtain construction progress adjustment information input by the target user; Determine the power outage plan change information according to the construction progress adjustment information; The target power outage plan information is subjected to plan change processing according to the power outage plan change information to obtain the changed target power outage plan information.

5. The intelligent generation method of line construction plan based on artificial intelligence according to claim 3 is characterized in that: The method further comprises: After the line to be constructed is constructed according to the primary progress plan information and the secondary progress plan information, an initial construction image set is obtained; Performing filtering processing on the initial construction images in the initial construction image set to obtain a first construction image set; Extracting feature data from the first construction image in the first construction image set to obtain a feature data set; Using the feature data set to construct a three-dimensional display model to obtain a target three-dimensional display model; The target three-dimensional display model is displayed.

6. An intelligent generation device for line construction scheme based on artificial intelligence, characterized in that: The device comprises: An acquisition unit, used to acquire attribute information of the line to be constructed; A first generating unit, configured to generate first-level schedule information according to the attribute information; An evaluation unit, used to perform a construction feasibility evaluation on the first-level schedule information to obtain a feasibility evaluation result; A second generating unit is used to generate secondary schedule information using a preset secondary schedule generation model according to the primary schedule information if the feasibility assessment result is a normal assessment result; A display unit is used to display the primary schedule information and the secondary schedule information.

7. The intelligent generation device for line construction scheme based on artificial intelligence according to claim 6 is characterized in that: The first generating unit is specifically used for: Determine, according to the attribute information, a first-level progress information generation template corresponding to the line to be constructed; extracting project scale information, terrain ratio information, corner ratio information and meteorological information from the attribute information; Extract key information from the project scale information, terrain ratio information, corner ratio information and meteorological information to obtain key project information; Determine the attribute information of the key nodes in the primary progress information generation template using the key project information; The first-level progress information generation template is adjusted according to the attribute information of the key node to obtain the first-level progress plan information.

8. The intelligent generation device for line construction scheme based on artificial intelligence according to claim 6 or 7, characterized in that: The device is also used for: Determining target power outage plan information of the line to be constructed; Determine the target power outage plan information of the line to be constructed, including: Extracting initial power outage plan information from the first-level progress plan information; Extracting tower attribute information from the initial power outage plan information; The target power outage plan information is determined according to the attribute information of the tower and the completion time of the power outage precondition.

9. A terminal, characterized in that: The invention comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the intelligent generation method of the line construction plan based on artificial intelligence as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes the intelligent generation method of the line construction plan based on artificial intelligence as described in any one of claims 1 to 5.

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