AI-based old city reconstruction building structure reinforcement scheme output method and device

Abstract

The invention discloses an AI-based old city reconstruction building structure reinforcement scheme output method and device, which can automatically generate a current output BIM model after obtaining a target building data set corresponding to an old city reconstruction target area and extracting input data in the target building data set and inputting the input data into a large language model. And the corresponding current old city transformed building structure reinforcement scheme data is obtained in combination with the building structure reinforcement scheme generation strategy, and the data is timely sent to the receiving terminal for viewing after the automatic structure checking calculation is passed, so that the reinforcement scheme data acquisition efficiency is improved, and the corresponding BIM model can be quickly output.

Description

Technical Field

[0001] The present invention relates to the field of intelligent construction technology, and in particular to an AI-based method and device for outputting a building structure reinforcement plan for old city renovation. Background Art

[0002] At present, when determining the old city renovation plan for a certain area, it is generally necessary to go through the following specific processes: 1) Data Verification and Current Status Survey: During this phase, the drawing and construction data verification primarily involves collecting original design drawings, construction records, and historical renovation and reconstruction data for the area, verifying whether the structural system and component layout are consistent with the actual situation. The initial on-site inspection during this phase primarily involves observing the building's exterior, noting obvious defects such as crack distribution, component deformation, and material aging (e.g., steel corrosion, concrete spalling), with a focus on checking for issues such as foundation settlement, wall tilt, and loose joints. 2) Structural performance testing. The foundation testing at this stage mainly checks for floor settlement, cracking of diffusers, and signs of uneven settlement, and assesses whether the foundation bearing capacity meets the requirements. Pile foundations also require testing for pile integrity and bearing capacity, and the thickness and compaction of the gravel cushion layer must be verified. The superstructure testing at this stage mainly involves component strength, crack analysis, and deformation and displacement testing. The connection node and structural testing at this stage mainly checks the ring beam and structural column layout and connection reliability of the masonry structure, the quality of steel structure welds, and the tightening of bolts. Ultrasonic or hammer testing is performed on the original bonding surface of the reinforced parts (such as the interface between new and old concrete) to assess the bonding quality. 3) Material performance and durability assessment: This stage mainly involves evaluating the material performance and durability of concrete, masonry materials, steel, reinforcement materials, etc. 4) Functionality and environmental adaptability testing: This stage mainly involves load and functionality investigations and environmental impact analysis (e.g., analysis of the long-term effects of the surrounding environment, such as corrosive gases and groundwater, on the structure, and corrosion rate testing when necessary); 5) Special inspection on earthquake resistance and safety. This stage mainly involves earthquake resistance performance evaluation and comprehensive safety assessment.

[0003] It can be seen that when renovating an old city in a certain area, the inspection before the renovation and reinforcement needs to cover multiple dimensions such as data verification, structural performance, material durability, environmental adaptability and seismic safety, and provide a basis for reinforcement design through scientific evaluation. Moreover, in actual inspection, the inspection method should be selected in combination with the characteristics of the building, and the relevant technical standards should be strictly followed. However, the above process is currently based on human experience to restore the renovation working conditions, which increases the human factor and may have some unknown hidden dangers. After that, the renovation reinforcement plan is determined and the plan modeling is carried out by personnel with rich professional experience in combination with the renovation working conditions. Not only is it inefficient, but the process is prone to errors, resulting in the inability to quickly output the modeling model. Summary of the Invention

[0004] The embodiments of the present invention provide an AI-based method and device for outputting building structure reinforcement plans for old city renovation, aiming to solve the problem in the prior art that when old city renovation is carried out in a certain area, the old renovation working conditions are restored based on human experience, and then the old renovation reinforcement plan is determined and modeled by personnel with rich professional experience in combination with the old renovation working conditions. This is not only inefficient, but the process is prone to errors, resulting in the inability to quickly output the modeling model.

[0005] In a first aspect, an embodiment of the present invention provides an AI-based method for outputting a building structure reinforcement plan for old city renovation, which includes: In response to the recommendation scheme output instruction, a target building dataset corresponding to the old city renovation target area is obtained; Obtaining the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data corresponding to each target building data in the target building data set, and inputting them into the pre-trained large language model to obtain the current output BIM model; Generate current old city renovation building structure reinforcement plan data based on the preset building structure reinforcement plan generation strategy and the current output BIM model; Performing structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result; If it is determined that the current verification result is a passing result, the current old city renovation building structure reinforcement plan data is sent to the receiving terminal.

[0006] In a second aspect, an embodiment of the present invention further provides an AI-based device for outputting a building structure reinforcement plan for old city renovation, which includes: A target building data set acquisition unit is configured to acquire a target building data set corresponding to a target area for old city renovation in response to a recommendation scheme output instruction; The current output BIM model acquisition unit is used to obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to each target building data in the target building data set, and input them into the pre-trained large language model to obtain the current output BIM model; A reinforcement scheme data acquisition unit, configured to generate current old city renovation building structure reinforcement scheme data based on a preset building structure reinforcement scheme generation strategy and the current output BIM model; A verification unit, configured to perform structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result; The reinforcement scheme data sending unit is used to send the current old city renovation building structure reinforcement scheme data to the receiving terminal if it is determined that the current verification result is a verification passing result.

[0007] In a third aspect, an embodiment of the present invention further provides a computer device comprising a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method described in the first aspect is implemented.

[0008] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the method described in the first aspect can be implemented.

[0009] An embodiment of the present invention provides an AI-based method and device for outputting building structure reinforcement schemes for old city renovation. The method includes: obtaining a target building data set corresponding to a target area for old city renovation in response to a recommended scheme output instruction; obtaining building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data corresponding to each target building data in the target building data set, and inputting them into a pre-trained large language model to obtain a current output BIM model; generating current old city renovation building structure reinforcement scheme data based on a preset building structure reinforcement scheme generation strategy and the current output BIM model; performing structural verification on the current old city renovation building structure reinforcement scheme data based on a preset structural verification strategy to obtain a current verification result; if it is determined that the current verification result is a verification pass result, sending the current old city renovation building structure reinforcement scheme data to a receiving terminal. The embodiment of the present invention can obtain the target building data set corresponding to the target area of ​​old city renovation, extract the input data and input it into the large language model to automatically generate the current output BIM model, and obtain the corresponding current old city renovation building structure reinforcement plan data in combination with the building structure reinforcement plan generation strategy, and send it to the receiving terminal for viewing in time after the automatic structure verification is passed, thereby improving the efficiency of obtaining reinforcement plan data and quickly outputting the corresponding BIM model. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 A schematic diagram of an application scenario of the method for outputting an AI-based building structure reinforcement solution for old city renovation provided by an embodiment of the present invention; Figure 2 A flowchart of a method for outputting an AI-based building structure reinforcement plan for old city renovation provided by an embodiment of the present invention; Figure 3 A schematic diagram of a sub-process of the method for outputting an AI-based building structure reinforcement plan for old city renovation provided by an embodiment of the present invention; Figure 4 A schematic diagram of another sub-process of the method for outputting an AI-based old city renovation building structure reinforcement plan provided by an embodiment of the present invention; Figure 5 A schematic block diagram of an AI-based old city renovation building structure reinforcement plan output device provided by an embodiment of the present invention; Figure 6A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0012] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0013] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0014] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0015] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0016] Please also refer to Figure 1 and Figure 2 ,in Figure 1 This is a schematic diagram of a scenario of an AI-based method for outputting a building structure reinforcement plan for old city renovation according to an embodiment of the present invention. Figure 2 This is a flow chart of the method for outputting an AI-based old city renovation building structure reinforcement plan according to an embodiment of the present invention. Figure 1 As shown, the AI-based old city renovation building structure reinforcement plan output method provided by the embodiment of the present invention is applied to the server 10, and the server 10 is communicatively connected to the user terminal 20.

[0017] like Figure 2 As shown, the method includes the following steps S110-S150.

[0018] S110 , in response to a recommendation solution output instruction, obtaining a target building dataset corresponding to the old city renovation target area.

[0019] In this embodiment, the technical solution is described with a server as the execution entity. An intelligent output platform for building structure reinforcement solutions for urban renewal is deployed on the server. The platform integrates several intelligent agents, one of which can generate a corresponding BIM model based on input data. For example, after a user successfully logs in to the platform using a user terminal (such as a smartphone, desktop computer, laptop, tablet, etc.) by entering their login information, they can first select a target area for urban renewal on an electronic map provided on the user interface of the platform. Target building data is then acquired for each building within the target area, forming a target building dataset for subsequent intelligent data processing. The target building data for each building includes at least building operating parameters, on-site inspection data, structural design parameters, urban renewal standard specification data, and urban renewal case drawing data.

[0020] S120. Obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to each target building data in the target building data set, and input them into the pre-trained large language model to obtain the current output BIM model.

[0021] In this embodiment, taking the processing process of one target building data item in the target building dataset as an example, the building operating parameters, on-site inspection data, structural design parameters, urban renewal standard specification data, and urban renewal case drawing data corresponding to the target building data item are first obtained. These parameters are then used to form a large language model into which the input data is input, thereby obtaining the current output BIM sub-model corresponding to the target building data item. After the current output BIM sub-model corresponding to each target building data item in the target building dataset is determined, and the geographical distribution location data (i.e., building location data) corresponding to each target building data item is known, the current output BIM sub-model of each target building data item is restored and displayed in the BIM model display component provided by the intelligent output platform for urban renewal building structure reinforcement solutions based on the corresponding geographical distribution location data, thereby obtaining a visualized current output BIM model.

[0022] In one embodiment, if Figure 3 As shown, in step S120, for each target building data, corresponding building condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data are obtained and input into the pre-trained large language model to obtain the current output sub-BIM model, including: S121. Acquire an agent corresponding to the large language model; S122: The current input parameter text is composed of the building working condition parameters, on-site inspection data, and structural design parameters corresponding to the target building data, and the current input attachment data is composed of the old city renovation standard specification data and old city renovation case drawing data; S123: Input the current input parameter text and the current input attachment data into the intelligent agent corresponding to the large language model for data processing to obtain the current output sub-BIM model.

[0023] In this embodiment, the large language model integrated in the intelligent output platform of the old city renovation building structure reinforcement plan is essentially an intelligent body. For example, the intelligent body includes components such as BIM data collector, data processor, BIM model generator, etc. The BIM data collector is used to obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to the target building data; the data processor is used to obtain the current input parameter text and the current input attachment data; the BIM model generator is used to generate the current output sub-BIM model based on the current input parameter text and the current input attachment data.

[0024] After the intelligent agent is called and the current input parameter text and the current input attachment data are processed into input data that the intelligent agent can understand, the current output sub-BIM model can be generated.

[0025] For example, the building operating parameters corresponding to the target building data include the building name, address, type, and year of completion; on-site inspection data includes the building status (e.g., normal or abnormal); structural design parameters include at least building height, floor area, and number of floors; and urban renewal standards and specifications data and case drawings can be retrieved from the cloud server. Once the above specific information about the target building data is known, it can be input into the intelligent agent for data processing, resulting in the current output sub-BIM model.

[0026] In one embodiment, step S122 includes: The current input attachment data is composed of a first cloud storage path of the old city renovation standard specification data in the cloud server and a second cloud storage path of the old city renovation case drawing data in the cloud server.

[0027] In this embodiment, if the target building data corresponds to both the urban renewal standard specification data and the urban renewal case drawing data stored in the cloud server, and the server stores the first cloud storage path for the urban renewal standard specification data and the second cloud storage path for the urban renewal case drawing data, then there is no need to download the original data of both data types as the current input attachment data. Instead, the first cloud storage path for the urban renewal standard specification data and the second cloud storage path for the urban renewal case drawing data are first downloaded from the cloud server, and then the first and second cloud storage paths are used to form the current input attachment data. This approach reduces the size of the current input attachment data, effectively reducing the amount of data processing required by the agent.

[0028] In one embodiment, step S123 includes: Obtain the current JSON format input data consisting of the current input parameter text and the current input attachment data; The BIM model generator in the agent is called, and the current JSON format input data is input into the BIM model generator to generate the current output sub-BIM model.

[0029] In this embodiment, in order to facilitate the agent to understand the current input parameter text and the current input attachment data, they must first be converted into the current JSON format input data of a specific standard data structure, as follows: prompt = f""" Building working parameters: - Building name: {['name']} - Building address: { ['address']} - Building type: { ['type']} - Year construction was completed: {['year']} On-site inspection data: {"status": "normal"} Structural design parameters: {"height": 21.0, "area": ​​3000, "floors": 7} Standard specification data for old city renovation: {"fire_safety": "GBXXXX-20XX", "accessibility": "GBXXXX-20XX"} Reference case drawings: {cases / {building_type}_{ii}.pdf}; Afterwards, the BIM model generator in the intelligent agent is called, and the current JSON format input data is input into the BIM model generator to generate the current output sub-BIM model.

[0030] In one embodiment, after step S123, the method further includes: Obtaining geographical distribution location data corresponding to each target building data item in the target building data set; The current output BIM sub-model of each target building data in the target building data set is restored and displayed in a pre-built BIM model display component based on the corresponding geographical distribution location data to obtain the current output BIM model.

[0031] In this embodiment, after the current output BIM sub-model corresponding to each target building data in the target building data set is determined and the geographical distribution location data (i.e., building positioning data) corresponding to each target building data is known, the current output BIM sub-model of each target building data is restored and displayed in the BIM model display component provided by the intelligent output platform for the old city renovation building structure reinforcement plan based on the corresponding geographical distribution location data, thereby obtaining a visual current output BIM model. S130 , generating current old city renovation building structure reinforcement plan data based on a preset building structure reinforcement plan generation strategy and the current output BIM model.

[0032] In this embodiment, after obtaining the current output BIM model of the target area of ​​the old city renovation, the building structure reinforcement plan generation strategy in the old city renovation building structure reinforcement plan intelligent output platform is called to quickly and intelligently output the current old city renovation building structure reinforcement plan data.

[0033] In one embodiment, if Figure 4 As shown, step S130 includes: S131. Acquire multiple preset standard BIM models included in the building structure reinforcement solution generation strategy, and building structure reinforcement solution data corresponding to each standard BIM model; S132. For each target building data item in the target building dataset, respectively obtain a model similarity between the current output BIM sub-model and a plurality of preset standard BIM models, and determine a target standard BIM model having the greatest model similarity with the current output BIM sub-model; S133, obtaining the building structure reinforcement solution data of the target standard BIM model and using it as the current building structure reinforcement solution data corresponding to the current output BIM sub-model; S134. The current building structure reinforcement solution data corresponding to the current output BIM sub-model of each target building data in the target building data set is used to form the current old city renovation building structure reinforcement solution data.

[0034] In this embodiment, after acquiring the current output BIM sub-model corresponding to each target building data item in the target building dataset, the model similarity between the current output BIM sub-model corresponding to each target building data item and multiple preset standard BIM models can also be calculated. Specifically, the geometric similarity between the current output BIM sub-model and the standard BIM model is calculated. More specifically, after completely aligning the three-dimensional coordinate systems and one vertex coordinate of the two models, the model overlap between the two models is calculated (which can also be understood as calculating the point cloud similarity between the two models). After determining the current building structure reinforcement plan data corresponding to the current output BIM sub-model corresponding to each target building data item in the building structure reinforcement plan generation strategy, the current old city renovation building structure reinforcement plan data is synthesized. The current building structure reinforcement plan data corresponding to the current output BIM sub-model of each target building data item can also be considered as other building BIM models that are external to the current output BIM sub-model, such as a BIM model of reinforced steel bars.

[0035] S140. Performing structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result.

[0036] In this embodiment, after obtaining the current old city renovation building structure reinforcement plan data in the old city renovation target area, the structural verification strategy alignment can be called to perform structural verification to determine the rationality of the current old city renovation building structure reinforcement plan data.

[0037] In one embodiment, step S140 includes: Based on the structural verification strategy, the tensile strength, compressive strength, shear strength and deflection of each current building structure reinforcement scheme data in the current old city renovation building structure reinforcement scheme data are calculated and processed to obtain the current tensile strength, current compressive strength, current shear strength and current deflection of each current building structure reinforcement scheme data; If it is determined that the current tensile strength, the current compressive strength, the current shear strength, and the current deflection all meet the corresponding preset parameter qualification conditions in the structural verification strategy, the verification pass result is used as the current verification sub-result; If it is determined that at least one of the current tensile strength, current compressive strength, current shear strength and current deflection does not meet the corresponding preset parameter qualification conditions in the structural verification strategy, the verification failure result is used as the current verification sub-result.

[0038] In this embodiment, the server can also calculate the tensile strength, compressive strength, shear strength and deflection of each current building structure reinforcement scheme data in the current old city renovation building structure reinforcement scheme data based on the structural verification strategy, thereby obtaining the current tensile strength, current compressive strength, current shear strength and current deflection of each current building structure reinforcement scheme data. Taking the structural verification process of a current building structure reinforcement scheme data as an example, if the current tensile strength, current compressive strength, current shear strength and current deflection of the current building structure reinforcement scheme data all meet the corresponding preset parameter qualification conditions in the structural verification strategy (it can be understood that the above multiple parameters are all within the qualified parameter value range corresponding to the preset parameter qualification conditions), then the current building structure reinforcement scheme data is determined to have a verification pass result as the current verification sub-result, otherwise a verification failure result is used as the current verification sub-result.

[0039] Of course, once the current verification sub-calculator results for all current building structure reinforcement scheme data have been determined, the final current verification result will be considered a passed result only if all current verification sub-calculator results for all current building structure reinforcement scheme data correspond to a passed verification result. If at least one current verification sub-calculator result for all current building structure reinforcement scheme data corresponds to a failed verification result, the final current verification result will also be a failed verification result.

[0040] S150: If it is determined that the current verification result is a passing result, the current old city renovation building structure reinforcement plan data is sent to a receiving terminal.

[0041] In this embodiment, if it is determined that the current verification result is a passing result, it means that the current old city renovation building structure reinforcement plan data has passed the structural verification, and the server can send the current old city renovation building structure reinforcement plan data to the receiving terminal (such as the user terminal in the above example) for the user to view in time.

[0042] Of course, if it is determined that the current verification result is a failed verification result, the current building structure reinforcement plan data with the failed verification result can be highlighted and displayed, and also sent to the receiving terminal for viewing and subsequent manual editing and adjustment.

[0043] It can be seen that the embodiment of implementing this method can obtain the target building data set corresponding to the target area of ​​old city renovation, extract the input data and input it into the large language model to automatically generate the current output BIM model, and combine the building structure reinforcement plan generation strategy to obtain the corresponding current old city renovation building structure reinforcement plan data, and send it to the receiving terminal for viewing in time after the automatic structure verification is passed, which improves the efficiency of obtaining reinforcement plan data and can also quickly output the corresponding BIM model.

[0044] Figure 5 This is a schematic block diagram of an AI-based old city renovation building structure reinforcement solution output device provided by an embodiment of the present invention. Figure 5 As shown, corresponding to the above-mentioned AI-based old city renovation building structure reinforcement plan output method, the present invention also provides an AI-based old city renovation building structure reinforcement plan output device 100. The AI-based old city renovation building structure reinforcement plan output device 100 includes a unit for executing the above-mentioned AI-based old city renovation building structure reinforcement plan output method. Figure 5 The AI-based old city renovation building structure reinforcement plan output device 100 includes: a target building data set acquisition unit 110, a current output BIM model acquisition unit 120, a reinforcement plan data acquisition unit 130, a verification unit 140 and a reinforcement plan data sending unit 150.

[0045] The target building data set acquisition unit 110 is configured to acquire a target building data set corresponding to the target area of ​​the old city renovation in response to a recommendation scheme output instruction.

[0046] In this embodiment, the technical solution is described with a server as the execution entity. An intelligent output platform for building structure reinforcement solutions for urban renewal is deployed on the server. The platform integrates several intelligent agents, one of which can generate a corresponding BIM model based on input data. For example, after a user successfully logs in to the platform using a user terminal (such as a smartphone, desktop computer, laptop, tablet, etc.) by entering their login information, they can first select a target area for urban renewal on an electronic map provided on the user interface of the platform. Target building data is then acquired for each building within the target area, forming a target building dataset for subsequent intelligent data processing. The target building data for each building includes at least building operating parameters, on-site inspection data, structural design parameters, urban renewal standard specification data, and urban renewal case drawing data.

[0047] The current output BIM model acquisition unit 120 is used to obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to each target building data in the target building data set, and input them into the pre-trained large language model to obtain the current output BIM model.

[0048] In this embodiment, taking the processing process of one target building data item in the target building dataset as an example, the building operating parameters, on-site inspection data, structural design parameters, urban renewal standard specification data, and urban renewal case drawing data corresponding to the target building data item are first obtained. These parameters are then used to form a large language model into which the input data is input, thereby obtaining the current output BIM sub-model corresponding to the target building data item. After the current output BIM sub-model corresponding to each target building data item in the target building dataset is determined, and the geographical distribution location data (i.e., building location data) corresponding to each target building data item is known, the current output BIM sub-model of each target building data item is restored and displayed in the BIM model display component provided by the intelligent output platform for urban renewal building structure reinforcement solutions based on the corresponding geographical distribution location data, thereby obtaining a visualized current output BIM model.

[0049] In one embodiment, the current output BIM model acquisition unit 120 acquires corresponding building operating parameters, on-site inspection data, structural design parameters, urban renewal standard specification data, and urban renewal case drawing data for each target building data item, and inputs these into a pre-trained large language model to obtain the current output sub-BIM model, including: Obtaining an agent corresponding to the large language model; The current input parameter text is composed of the building working condition parameters, on-site inspection data, and structural design parameters corresponding to the target building data, and the current input attachment data is composed of the old city renovation standard specification data and old city renovation case drawing data; The current input parameter text and the current input attachment data are input into the intelligent agent corresponding to the large language model for data processing to obtain the current output sub-BIM model.

[0050] In this embodiment, the large language model integrated in the intelligent output platform of the old city renovation building structure reinforcement plan is essentially an intelligent body. For example, the intelligent body includes components such as BIM data collector, data processor, BIM model generator, etc. The BIM data collector is used to obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to the target building data; the data processor is used to obtain the current input parameter text and the current input attachment data; the BIM model generator is used to generate the current output sub-BIM model based on the current input parameter text and the current input attachment data.

[0051] After the intelligent agent is called and the current input parameter text and the current input attachment data are processed into input data that the intelligent agent can understand, the current output sub-BIM model can be generated.

[0052] For example, the building operating parameters corresponding to the target building data include the building name, address, type, and year of completion; on-site inspection data includes the building status (e.g., normal or abnormal); structural design parameters include at least building height, floor area, and number of floors; and urban renewal standards and specifications data and case drawings can be retrieved from the cloud server. Once the above specific information about the target building data is known, it can be input into the intelligent agent for data processing, resulting in the current output sub-BIM model.

[0053] In one embodiment, the current output BIM model acquisition unit 120 is specifically configured to: The current input attachment data is composed of a first cloud storage path of the old city renovation standard specification data in the cloud server and a second cloud storage path of the old city renovation case drawing data in the cloud server.

[0054] In this embodiment, if the target building data corresponds to both the urban renewal standard specification data and the urban renewal case drawing data stored in the cloud server, and the server stores the first cloud storage path for the urban renewal standard specification data and the second cloud storage path for the urban renewal case drawing data, then there is no need to download the original data of both data types as the current input attachment data. Instead, the first cloud storage path for the urban renewal standard specification data and the second cloud storage path for the urban renewal case drawing data are first downloaded from the cloud server, and then the first and second cloud storage paths are used to form the current input attachment data. This approach reduces the size of the current input attachment data, effectively reducing the amount of data processing required by the agent.

[0055] In one embodiment, the current output BIM model acquisition unit 120 is specifically configured to: Obtain the current JSON format input data consisting of the current input parameter text and the current input attachment data; The BIM model generator in the agent is called, and the current JSON format input data is input into the BIM model generator to generate the current output sub-BIM model.

[0056] In this embodiment, to facilitate the agent's understanding of the current input parameter text and the current input attachment data, they must first be converted into current JSON format input data with a specific standard data structure. The BIM model generator within the agent is then invoked and fed with the current JSON format input data to generate the current output sub-BIM model.

[0057] In one embodiment, the current output BIM model acquisition unit 120 is further specifically configured to: Obtaining geographical distribution location data corresponding to each target building data item in the target building data set; The current output BIM sub-model of each target building data in the target building data set is restored and displayed in a pre-built BIM model display component based on the corresponding geographical distribution location data to obtain the current output BIM model.

[0058] In this embodiment, after the current output BIM sub-model corresponding to each target building data in the target building data set is determined and the geographical distribution location data (i.e., building positioning data) corresponding to each target building data is known, the current output BIM sub-model of each target building data is restored and displayed in the BIM model display component provided by the intelligent output platform for the old city renovation building structure reinforcement plan based on the corresponding geographical distribution location data, thereby obtaining a visual current output BIM model. The reinforcement scheme data acquisition unit 130 is used to generate the current old city renovation building structure reinforcement scheme data based on the preset building structure reinforcement scheme generation strategy and the current output BIM model.

[0059] In this embodiment, after obtaining the current output BIM model of the target area of ​​the old city renovation, the building structure reinforcement plan generation strategy in the old city renovation building structure reinforcement plan intelligent output platform is called to quickly and intelligently output the current old city renovation building structure reinforcement plan data.

[0060] In one embodiment, the reinforcement scheme data acquisition unit 130 is specifically configured to: Acquire multiple preset standard BIM models included in the building structure reinforcement solution generation strategy, and building structure reinforcement solution data corresponding to each standard BIM model; For each target building data item in the target building dataset, respectively obtaining model similarities with a plurality of preset standard BIM models for the current output BIM sub-model, and determining a target standard BIM model having the greatest model similarity with the current output BIM sub-model; Acquire the building structure reinforcement scheme data of the target standard BIM model and use it as the current building structure reinforcement scheme data corresponding to the current output BIM sub-model; The current old city renovation building structure reinforcement plan data is composed of the current building structure reinforcement plan data corresponding to the current output BIM sub-model of each target building data in the target building data set.

[0061] In this embodiment, after acquiring the current output BIM sub-model corresponding to each target building data item in the target building dataset, the model similarity between the current output BIM sub-model corresponding to each target building data item and multiple preset standard BIM models can also be calculated. Specifically, the geometric similarity between the current output BIM sub-model and the standard BIM model is calculated. More specifically, after completely aligning the three-dimensional coordinate systems and one vertex coordinate of the two models, the model overlap between the two models is calculated (which can also be understood as calculating the point cloud similarity between the two models). After determining the current building structure reinforcement plan data corresponding to the current output BIM sub-model corresponding to each target building data item in the building structure reinforcement plan generation strategy, the current old city renovation building structure reinforcement plan data is synthesized. The current building structure reinforcement plan data corresponding to the current output BIM sub-model of each target building data item can also be considered as other building BIM models that are external to the current output BIM sub-model, such as a BIM model of reinforced steel bars.

[0062] The verification unit 140 is used to perform structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result.

[0063] In this embodiment, after obtaining the current old city renovation building structure reinforcement plan data in the old city renovation target area, the structural verification strategy alignment can be called to perform structural verification to determine the rationality of the current old city renovation building structure reinforcement plan data.

[0064] In one embodiment, the verification unit 140 is specifically configured to: Based on the structural verification strategy, the tensile strength, compressive strength, shear strength and deflection of each current building structure reinforcement scheme data in the current old city renovation building structure reinforcement scheme data are calculated and processed to obtain the current tensile strength, current compressive strength, current shear strength and current deflection of each current building structure reinforcement scheme data; If it is determined that the current tensile strength, the current compressive strength, the current shear strength, and the current deflection all meet the corresponding preset parameter qualification conditions in the structure verification strategy, the verification pass result is used as the current verification sub-result; If it is determined that at least one of the current tensile strength, current compressive strength, current shear strength and current deflection does not meet the corresponding preset parameter qualification conditions in the structural verification strategy, the verification failure result is used as the current verification sub-result.

[0065] In this embodiment, the server can also calculate the tensile strength, compressive strength, shear strength and deflection of each current building structure reinforcement scheme data in the current old city renovation building structure reinforcement scheme data based on the structural verification strategy, thereby obtaining the current tensile strength, current compressive strength, current shear strength and current deflection of each current building structure reinforcement scheme data. Taking the structural verification process of a current building structure reinforcement scheme data as an example, if the current tensile strength, current compressive strength, current shear strength and current deflection of the current building structure reinforcement scheme data all meet the corresponding preset parameter qualification conditions in the structural verification strategy (it can be understood that the above multiple parameters are all within the qualified parameter value range corresponding to the preset parameter qualification conditions), then the current building structure reinforcement scheme data is determined to have a verification pass result as the current verification sub-result, otherwise a verification failure result is used as the current verification sub-result.

[0066] Of course, once the current verification sub-calculator results for all current building structure reinforcement scheme data have been determined, the final current verification result will be considered a passed result only if all current verification sub-calculator results for all current building structure reinforcement scheme data correspond to a passed verification result. If at least one current verification sub-calculator result for all current building structure reinforcement scheme data corresponds to a failed verification result, the final current verification result will also be a failed verification result.

[0067] The reinforcement plan data sending unit 150 is used to send the current old city renovation building structure reinforcement plan data to a receiving terminal if it is determined that the current verification result is a verification passing result.

[0068] In this embodiment, if it is determined that the current verification result is a passing result, it means that the current old city renovation building structure reinforcement plan data has passed the structural verification, and the server can send the current old city renovation building structure reinforcement plan data to the receiving terminal (such as the user terminal in the above example) for the user to view in time.

[0069] Of course, if it is determined that the current verification result is a failed verification result, the current building structure reinforcement plan data with the failed verification result can be highlighted and displayed, and also sent to the receiving terminal for viewing and subsequent manual editing and adjustment.

[0070] It can be seen that the embodiment of the device can obtain the target building data set corresponding to the target area of ​​old city renovation, extract the input data and input it into the large language model to automatically generate the current output BIM model, and combine the building structure reinforcement plan generation strategy to obtain the corresponding current old city renovation building structure reinforcement plan data, and send it to the receiving terminal for viewing in time after the automatic structure verification is passed, which improves the efficiency of obtaining reinforcement plan data and can also quickly output the corresponding BIM model.

[0071] The above-mentioned AI-based output device for the old city renovation building structure reinforcement plan can be implemented in the form of a computer program. The computer program can be used in Figure 6 Runs on the computer equipment shown.

[0072] See also Figure 6 , Figure 6 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device integrates any of the AI-based old city renovation building structure reinforcement solution output devices provided in an embodiment of the present invention.

[0073] See Figure 6 The computer device 400 includes a processor 402 , a memory, and a network interface 405 connected via a system bus 401 , wherein the memory may include a storage medium 403 and an internal memory 404 .

[0074] The storage medium 403 can store an operating system 4031 and a computer program 4032. The computer program 4032 includes program instructions, which, when executed, can cause the processor 402 to execute an AI-based method for outputting a structural reinforcement plan for old city renovation buildings.

[0075] The processor 402 is used to provide computing and control capabilities to support the operation of the entire computer device.

[0076] The internal memory 404 provides an environment for the operation of the computer program 4032 in the storage medium 403. When the computer program 4032 is executed by the processor 402, the processor 402 can execute the above-mentioned AI-based old city renovation building structure reinforcement plan output method.

[0077] The network interface 405 is used to communicate with other devices through the network. Figure 6 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0078] The processor 402 is configured to run a computer program 4032 stored in a memory to implement the aforementioned AI-based method for outputting a building structure reinforcement plan for old city renovation.

[0079] It should be understood that in the embodiment of the present invention, the processor 402 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0080] Those skilled in the art will appreciate that all or part of the steps in the method of the above-described embodiment can be implemented by instructing the relevant hardware through a computer program. The computer program includes program instructions, which can be stored in a storage medium that is computer-readable. The program instructions are executed by at least one processor in the computer system to implement the steps in the method of the above-described embodiment.

[0081] Therefore, the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions. When executed by a processor, the program instructions cause the processor to execute the aforementioned AI-based method for outputting a building structure reinforcement plan for old city renovation.

[0082] The storage medium may be any computer-readable storage medium that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0083] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software 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 the present invention.

[0084] In the several embodiments provided herein, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the various units is merely a logical functional division, and actual implementation may employ other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented.

[0085] The steps in the methods of the embodiments of the present invention may be adjusted in order, combined, or deleted as needed. The units in the devices of the embodiments of the present invention may be combined, divided, or deleted as needed. Furthermore, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0086] If this integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (such as a personal computer, terminal, or network device) to execute all or part of the steps of the method described in various embodiments of the present invention.

[0087] The foregoing description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art will readily conceive of various equivalent modifications or substitutions within the technical scope disclosed herein, and such modifications or substitutions are intended to be encompassed within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. An AI-based method for outputting building structure reinforcement schemes for old city renovation, characterized in that: include: In response to the recommendation scheme output instruction, a target building dataset corresponding to the old city renovation target area is obtained; Obtaining the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data corresponding to each target building data in the target building data set, and inputting them into the pre-trained large language model to obtain the current output BIM model; Generate current old city renovation building structure reinforcement plan data based on the preset building structure reinforcement plan generation strategy and the current output BIM model; Performing structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result; If it is determined that the current verification result is a passing result, the current old city renovation building structure reinforcement plan data is sent to the receiving terminal.

2. The method according to claim 1, characterized in that In the step of obtaining the building operating parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data corresponding to each target building data in the target building data set, and inputting them into the pre-trained large language model to obtain the current output BIM model, the corresponding building operating parameters, on-site inspection data, structural design parameters, old city renovation standard specification data, and old city renovation case drawing data are obtained for each target building data, and inputted into the pre-trained large language model to obtain the current output sub-BIM model, including: Obtaining an agent corresponding to the large language model; The current input parameter text is composed of the building working condition parameters, on-site inspection data, and structural design parameters corresponding to the target building data, and the current input attachment data is composed of the old city renovation standard specification data and old city renovation case drawing data; The current input parameter text and the current input attachment data are input into the intelligent agent corresponding to the large language model for data processing to obtain the current output sub-BIM model.

3. The method according to claim 2, characterized in that The current input attachment data, which is composed of the old city renovation standard specification data and the old city renovation case drawing data, includes: The current input attachment data is composed of a first cloud storage path of the old city renovation standard specification data in the cloud server and a second cloud storage path of the old city renovation case drawing data in the cloud server.

4. The method according to claim 2, characterized in that The step of inputting the current input parameter text and the current input attachment data into the agent corresponding to the large language model for data processing to obtain the current output sub-BIM model includes: Obtain the current JSON format input data consisting of the current input parameter text and the current input attachment data; The BIM model generator in the agent is called, and the current JSON format input data is input into the BIM model generator to generate the current output sub-BIM model.

5. The method according to claim 2, characterized in that After the step of inputting the current input parameter text and the current input attachment data into the agent corresponding to the large language model for data processing to obtain the current output sub-BIM model, the method further includes: Obtaining geographical distribution location data corresponding to each target building data item in the target building data set; The current output BIM sub-model of each target building data in the target building data set is restored and displayed in a pre-built BIM model display component based on the corresponding geographical distribution location data to obtain the current output BIM model.

6. The method according to claim 1, characterized in that The method of generating the current old city renovation building structure reinforcement plan data based on the preset building structure reinforcement plan generation strategy and the current output BIM model includes: Acquire multiple preset standard BIM models included in the building structure reinforcement solution generation strategy, and building structure reinforcement solution data corresponding to each standard BIM model; For each target building data item in the target building dataset, respectively obtaining model similarities with a plurality of preset standard BIM models for the current output BIM sub-model, and determining a target standard BIM model having the greatest model similarity with the current output BIM sub-model; Acquire the building structure reinforcement scheme data of the target standard BIM model and use it as the current building structure reinforcement scheme data corresponding to the current output BIM sub-model; The current old city renovation building structure reinforcement plan data is composed of the current building structure reinforcement plan data corresponding to the current output BIM sub-model of each target building data in the target building data set.

7. The method according to claim 1, characterized in that The structure verification is performed on the current old city renovation building structure reinforcement plan data based on the preset structure verification strategy to obtain the current verification result, including: Based on the structural verification strategy, the tensile strength, compressive strength, shear strength and deflection of each current building structure reinforcement scheme data in the current old city renovation building structure reinforcement scheme data are calculated and processed to obtain the current tensile strength, current compressive strength, current shear strength and current deflection of each current building structure reinforcement scheme data; If it is determined that the current tensile strength, the current compressive strength, the current shear strength, and the current deflection all meet the corresponding preset parameter qualification conditions in the structure verification strategy, the verification pass result is used as the current verification sub-result; If it is determined that at least one of the current tensile strength, current compressive strength, current shear strength and current deflection does not meet the corresponding preset parameter qualification conditions in the structural verification strategy, the verification failure result is used as the current verification sub-result.

8. An AI-based output device for building structure reinforcement schemes for old city renovation, characterized in that: include: A target building data set acquisition unit is configured to acquire a target building data set corresponding to a target area for old city renovation in response to a recommendation scheme output instruction; The current output BIM model acquisition unit is used to obtain the building working condition parameters, on-site inspection data, structural design parameters, old city renovation standard specification data and old city renovation case drawing data corresponding to each target building data in the target building data set, and input them into the pre-trained large language model to obtain the current output BIM model; A reinforcement scheme data acquisition unit, configured to generate current old city renovation building structure reinforcement scheme data based on a preset building structure reinforcement scheme generation strategy and the current output BIM model; A verification unit, configured to perform structural verification on the current old city renovation building structure reinforcement plan data based on a preset structural verification strategy to obtain a current verification result; The reinforcement scheme data sending unit is used to send the current old city renovation building structure reinforcement scheme data to the receiving terminal if it is determined that the current verification result is a verification passing result.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, it implements the AI-based old city renovation building structure reinforcement plan output method as described in any one of claims 1 to 7.

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 method for outputting an AI-based old city renovation building structure reinforcement plan as described in any one of claims 1 to 7 can be implemented.

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