Intelligent auxiliary correction method and platform for engineering drawings

Abstract

The invention discloses an engineering drawing intelligent auxiliary correction method and platform, and relates to the technical field of data analysis processing, and the method comprises the steps: collecting synchronous measurement data after an engineering drawing is completed, importing the synchronous measurement data into a BIM model, and carrying out the alignment processing of building design data. And according to the industry specification standard, the construction deviation in the BIM model is analyzed, an error source and an error influence degree are obtained, and the error source is used for positioning a deviation node in a construction link. And an error balance optimization strategy is generated by taking minimization of the non-adjustable error as a target. And tracking the dynamic update of the BIM model, and setting an error correction cycle in comparison with an error balance optimization strategy. And performing error management in a multi-terminal collaborative window of the cartographic software according to an error balance optimization strategy and an error correction cycle. The technical problem that in the prior art, in the construction process, field real-time data and design data are difficult to effectively compare and correct, and consequently the overall construction quality is difficult to improve is solved.

Description

Technical Field

[0001] The present application relates to fields related to data analysis and processing technology, and specifically to a method and platform for intelligent assisted correction of engineering drawings. Background Art

[0002] During the construction process of a building project, errors often occur between the design data of the engineering drawings and the actual construction results due to various factors. The sources of these errors may include insufficient accuracy of construction equipment, operator errors, deformation of building materials, etc., and they must be detected and corrected in a timely manner during the construction process. At present, building information models are widely used in construction projects for three-dimensional visualization management of building design and construction data. However, how to effectively compare and correct real-time data on site with design data to ensure timely correction of construction deviations is still a problem that needs to be solved.

[0003] Therefore, in the prior art, it is difficult to effectively compare and correct on-site real-time data and design data during the construction process, resulting in a technical problem that it is difficult to improve the overall construction quality. Summary of the invention

[0004] This application solves the technical problem that it is difficult to effectively compare and correct on-site real-time data and design data during the construction process, which makes it difficult to improve the overall construction quality, by providing an intelligent auxiliary correction method and platform for engineering drawings. By integrating error distribution matrix analysis, error balance optimization strategy generation, dynamic tracking BIM model updates, error correction cycles, and real-time feedback and task distribution of multi-terminal collaborative windows, this method can effectively identify and correct errors in construction, improving the construction quality and safety of building projects.

[0005] The present application provides an intelligent auxiliary correction method for engineering drawings, the method comprising: after completing the engineering drawings, using monitoring equipment during the construction process to collect synchronous measurement data, the synchronous measurement data including dimension measurement data, position measurement data, and angle measurement data; importing the synchronous measurement data into a BIM model, aligning the architectural design data associated with the engineering drawings, and marking load-bearing parts and non-load-bearing parts; analyzing the construction deviations in the BIM model according to industry specifications and standards, obtaining error sources and error influence degrees, the error sources being used to locate deviation nodes in the construction link; based on the error sources and error influence degrees, under the constraints of load-bearing part identification and non-load-bearing part identification, generating an error balance optimization strategy with the goal of minimizing unadjustable errors, the error balance optimization strategy being used to assist in correcting the engineering drawings; tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specifications and standards, and setting an error correction cycle in accordance with the error balance optimization strategy; distributing various correction tasks in a multi-terminal collaborative window of a CAD drawing software according to the error balance optimization strategy and the error correction cycle to perform error management.

[0006] In the implementation method, the construction deviations in the BIM model are analyzed according to industry specifications and standards to obtain the error sources and the degree of error impact. Previously, the method also includes: based on the pre-sale contract for future houses, extracting basic agreement information, the basic agreement information includes first area agreement information; connecting to the user terminal, uploading the supplementary terms contract, and extracting supplementary agreement information, the basic agreement information includes second area agreement information; based on the basic agreement information and the supplementary agreement information, according to industry specifications and standards, determining the standard error range corresponding to the industry specifications and standards.

[0007] In the implementation method, based on the basic agreement information and the supplementary agreement information, according to the industry standards, the standard error range corresponding to the industry standards is determined. The method includes: based on the basic agreement information, according to the industry standards, determining the first agreement coverage range; based on the supplementary agreement information, according to the industry standards, determining the second agreement coverage range; on the basis that there is no conflict between the first agreement coverage range and the second agreement coverage range, merging them to obtain the standard error range.

[0008] In the implementation, based on the error sources and the error influence degree, under the constraints of the load-bearing part identification and the non-load-bearing part identification, an error balance optimization strategy is generated with the goal of minimizing the non-adjustable error. The method includes: setting P non-adjustable areas in the BIM model through the load-bearing part identification; setting Q adjustable areas in the BIM model through the non-load-bearing part identification; and setting an error distribution matrix based on the error sources and the error influence degree, comparing the P non-adjustable areas and the Q adjustable areas.

[0009] In the implementation, the P non-adjustable areas and the Q adjustable areas set an error distribution matrix, and the method includes: based on the error distribution matrix and the P non-adjustable areas, generating a layer of depth channel, the layer of depth channel includes the error distribution characteristics of the P non-adjustable areas; based on the error distribution matrix and the Q adjustable areas, generating a second layer of depth channel, the layer of depth channel includes the error distribution characteristics of the Q adjustable areas; connecting the first layer of depth channel and the second layer of depth channel to generate an error balance optimization strategy with the goal of minimizing the non-adjustable error.

[0010] In the implementation, the dynamic update of the BIM model is tracked through the standard error range corresponding to the industry specification standard, and an error correction cycle is set according to the error balance optimization strategy. The method includes: based on the error balance optimization strategy, after the engineering drawing starts auxiliary correction, the synchronous measurement data is updated; the updated synchronous measurement data is imported into the BIM model again, the dynamic update of the BIM model is tracked, and an error correction cycle is set; in the error correction cycle, whether to start the next cycle is determined through the standard error range corresponding to the industry specification standard.

[0011] In the implementation, in the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed to perform error management according to the error balance optimization strategy and the error correction cycle. The method also includes: the multi-terminal collaborative window of the CAD drawing software supports real-time access by the field communication terminal and synchronizes the execution progress of the various correction tasks; through the field communication terminal, field correction data is collected, and a collaborative feedback node is embedded in the error correction cycle; after each round of the error correction cycle ends, the priority of each correction task in the next round is dynamically adjusted according to the collaborative feedback node and the field correction data.

[0012] This application also provides an intelligent auxiliary correction platform for engineering drawings, including: A data acquisition module is used to collect synchronous measurement data using monitoring equipment during the construction process after the engineering drawings are completed. The synchronous measurement data includes dimension measurement data, position measurement data, and angle measurement data; A part marking module is used to import the synchronous measurement data into the BIM model, align it with the architectural design data associated with the engineering drawing, and mark the load-bearing parts and non-load-bearing parts; A deviation node acquisition module is used to analyze the construction deviation in the BIM model according to industry specifications and standards, and obtain the error source and the degree of error impact. The error source is used to locate the deviation node in the construction link; An auxiliary correction module, for generating an error balance optimization strategy based on the error source and the error influence degree, under the constraints of the load-bearing part identification and the non-load-bearing part identification, with the goal of minimizing the unadjustable error, wherein the error balance optimization strategy is used to assist in correcting the engineering drawing; A correction cycle module, for tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting an error correction cycle according to the error balance optimization strategy; The error management module is used to distribute various correction tasks and perform error management in the multi-terminal collaborative window of the CAD drawing software according to the error balance optimization strategy and the error correction cycle.

[0013] The intelligent auxiliary correction method and platform for engineering drawings proposed in this application are intended to use monitoring equipment to collect synchronous measurement data during the construction process after the engineering drawings are completed, and the synchronous measurement data includes dimension measurement data, position measurement data, and angle measurement data; the synchronous measurement data is imported into the BIM model, aligned with the architectural design data associated with the engineering drawings, and the load-bearing parts and non-load-bearing parts are marked; according to industry specifications and standards, the construction deviations in the BIM model are analyzed to obtain the error sources and the degree of error influence, and the error sources are used to locate the deviation nodes in the construction link; based on the error sources and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, an error balance optimization strategy is generated with the goal of minimizing the unadjustable error, and the error balance optimization strategy is used to assist in correcting the engineering drawings; through the standard error range corresponding to the industry specifications and standards, the dynamic update of the BIM model is tracked, and the error correction cycle is set according to the error balance optimization strategy; in the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed according to the error balance optimization strategy and the error correction cycle to perform error management. This method solves the technical problem that it is difficult to effectively compare and correct the real-time data on site with the design data during the construction process, which makes it difficult to improve the overall construction quality. By integrating error distribution matrix analysis, error balance optimization strategy generation, dynamic tracking BIM model updates, error correction cycles, and real-time feedback and task distribution of multi-terminal collaborative windows, this method can effectively identify and correct errors in construction, improving the construction quality and safety of building projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. Other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of a process flow of an intelligent assisted correction method for engineering drawings provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of the intelligent assisted correction platform for engineering drawings provided in an embodiment of the present application.

[0016] Explanation of the reference numerals: data acquisition module 11 , part marking module 12 , deviation node acquisition module 13 , auxiliary correction module 14 , correction cycle module 15 , error management module 16 . DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application provides an intelligent auxiliary correction method and platform for engineering drawings, such as Figure 1 As shown, the method includes: After the engineering drawings are completed, monitoring equipment is used during the construction process to collect synchronous measurement data, which includes dimension measurement data, position measurement data, and angle measurement data; the synchronous measurement data is imported into the BIM model, aligned with the architectural design data associated with the engineering drawings, and the load-bearing parts and non-load-bearing parts are marked; according to industry standards, the construction deviations in the BIM model are analyzed to obtain the error sources and the degree of error impact, and the error sources are used to locate the deviation nodes in the construction process; After the construction project completes the engineering drawings, the actual structure of the construction site is measured by using monitoring equipment (such as laser rangefinder, total station, 3D scanner, etc.) during the construction process to collect synchronous measurement data. The synchronous measurement data refers to the data information collected in real time during the construction process, including dimension measurement data, position measurement data, and angle measurement data. Further, the collected synchronous measurement data is imported into the BIM model, which is a building information model and a data platform for three-dimensional visualization management of building design and construction processes. The model not only contains the design information of the building, but also integrates the real-time data during the construction process and aligns it with the architectural design data associated with the engineering drawings, that is, the actual data collected at the construction site is compared and aligned with the design data in the original engineering drawings through computer algorithms, mapped to the BIM model to ensure data consistency, and mark the load-bearing parts and non-load-bearing parts. The load-bearing parts refer to the key components that play a supporting role in the building structure, such as columns and beams; the non-load-bearing parts refer to the parts that have little impact on the stability of the building structure, such as partition walls. According to industry standards, the construction deviations in the BIM model are analyzed. Before analyzing the construction deviations in the BIM model, the construction deviations generated by the synchronous measurement data and engineering drawings are obtained, such as wall offset, substandard width, etc. Based on the analysis of the construction deviations by professional technicians, the error source of the construction deviation, i.e., the specific node causing the deviation, is obtained. The error impact degree, i.e., the severity of the error is obtained and expressed as a percentage. The error source and the error impact degree are obtained, and the error source is used to locate the deviation node in the construction link.

[0021] The method provided in the embodiment of the present application also includes: based on the pre-sale contract of the future house, extracting basic agreement information, the basic agreement information includes first area agreement information; connecting to the user end, uploading the supplementary terms contract, and extracting supplementary agreement information, the basic agreement information includes second area agreement information; based on the basic agreement information and the supplementary agreement information, according to industry specifications and standards, determining the standard error range corresponding to the industry specifications and standards.

[0022] According to industry standards, the construction deviations in the BIM model are analyzed to obtain the error sources and the degree of error impact. Previously, the method also includes: extracting basic agreement information related to the building area through the pre-sale contract for future housing. The pre-sale contract for future housing refers to the pre-sale agreement for housing signed between the developer and the buyer before the construction of the house, stipulating key information such as the building area and the location of the house. Extract basic agreement information, which includes first area agreement information, which is the designed building area of ​​the house agreed in the pre-sale contract. Subsequently, connect to the user end and upload the supplementary terms contract, which is a further supplement or amendment to the basic contract. The supplementary terms contract stipulates more detailed information and includes the second area agreement information of the house, which and the first area agreement information are both the designed building area of ​​the house. Finally, based on the basic agreement information and the supplementary agreement information, according to industry standards, determine the standard error range corresponding to the industry standards.

[0023] The method provided in the embodiment of the present application also includes: determining the first agreed coverage based on the basic agreed information and in accordance with industry norms and standards; determining the second agreed coverage based on the supplementary agreed information and in accordance with industry norms and standards; and merging the first agreed coverage and the second agreed coverage to obtain the standard error range on the basis that there is no conflict between the first agreed coverage and the second agreed coverage.

[0024] Based on the basic agreed information, the industry specification error standard corresponding to the object agreed in the basic agreed information, i.e., the first area agreed information, is obtained according to the industry specification standard, and the first agreed coverage is determined. The first agreed coverage is the allowable error range of the first area agreed information in the industry specification. Subsequently, based on the supplementary agreed information, the industry specification error standard corresponding to the object agreed in the supplementary agreed information, i.e., the second area agreed information, is obtained according to the industry specification standard, and the second agreed coverage is determined. Finally, on the basis that there is no conflict between the first agreed coverage and the second agreed coverage, the standard error range is obtained by merging them. An exemplary first agreed coverage is plus or minus 3%, and the second agreed coverage is plus or minus 2%. In order to avoid range conflicts, the standard error range obtained by merging the two is plus or minus 2%.

[0025] Based on the error sources and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, an error balance optimization strategy is generated with the goal of minimizing the unadjustable error, and the error balance optimization strategy is used to assist in correcting the engineering drawings; Tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting the error correction cycle according to the error balance optimization strategy; In the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed according to the error balance optimization strategy and the error correction cycle to perform error management.

[0026] Based on the error source and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, the error balance optimization strategy is generated with the goal of minimizing the non-adjustable error, that is, the goal of minimizing the non-adjustable error within the allowable range as the strategy selection. The error balance optimization strategy is used to assist in correcting the engineering drawings. Further, after the initial adjustment, the BIM model is tracked and dynamically updated through the standard error range of industry specifications, and an error correction cycle is set in accordance with the error balance optimization strategy, that is, after each construction deviation analysis, a new data import and correction operation is performed to generate a corresponding error balance optimization strategy, and an error correction cycle is set until the standard error range corresponding to the industry specification is met. Finally, in the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed to relevant engineers and operators according to the error balance optimization strategy and the error correction cycle. The correction tasks include specific error balance optimization strategies for error management.

[0027] The method provided in the embodiment of the present application also includes: setting P non-adjustable areas in the BIM model through the load-bearing part identification; setting Q adjustable areas in the BIM model through the non-load-bearing part identification; and setting an error distribution matrix based on the error source and the error influence degree, comparing the P non-adjustable areas and the Q adjustable areas.

[0028] Based on the error source and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, with the goal of minimizing the non-adjustable error, an error balance optimization strategy is generated. The method includes: through the load-bearing part identification, P non-adjustable areas are set in the BIM model, and the non-adjustable areas are load-bearing structures. The construction deviation needs to be strictly controlled and cannot be compensated or corrected by adjustment. Any error beyond the standard range must be handled in a timely manner to ensure the safety of the structure. P is the number of load-bearing parts. Through the non-load-bearing part identification, Q adjustable areas are set in the BIM model. If a small error occurs during construction, it can be corrected by subsequent adjustment. For example, the verticality of the wall or the slight size deviation of the surface decoration can be corrected by later repair or adjustment. Q is the number of non-load-bearing parts. Based on the error source and the degree of error influence, the error distribution matrix is ​​set in comparison with the P non-adjustable areas and the Q adjustable areas. The error distribution matrix is ​​a multidimensional matrix used to represent the error distribution of different areas. The error distribution matrix contains the error source and error influence degree data corresponding to the P area and the Q area. This method solves the technical problem that it is difficult to effectively compare and correct the real-time data on site with the design data during the construction process, which makes it difficult to improve the overall construction quality. By integrating error distribution matrix analysis, error balance optimization strategy generation, dynamic tracking BIM model updates, error correction cycles, and real-time feedback and task distribution of multi-terminal collaborative windows, this method can effectively identify and correct errors in construction, improving the construction quality and safety of building projects.

[0029] The method provided in the embodiment of the present application also includes: based on the error distribution matrix and the P non-adjustable areas, generating a layer of depth channel, the layer of depth channel includes the error distribution characteristics of the P non-adjustable areas; based on the error distribution matrix and the Q adjustable areas, generating a second layer of depth channel, the layer of depth channel includes the error distribution characteristics of the Q adjustable areas; connecting the first layer of depth channel and the second layer of depth channel to generate an error balance optimization strategy with the goal of minimizing the non-adjustable error.

[0030] Based on the error distribution matrix and the P non-adjustable areas, a layer of depth channel is generated. The layer of depth channel is a data extraction and analysis channel, which is used to extract the error distribution characteristics corresponding to the non-adjustable areas in the error distribution matrix and analyze them. The layer of depth channel includes the error distribution characteristics of the P non-adjustable areas. When constructing a layer of depth channel, historical error balance optimization strategies are collected. The historical error balance optimization strategies include a variety of error balance optimization strategies and adjustment results corresponding to the error sources and error influence degrees of the non-adjustable areas, and error balance optimization strategies and adjustment results corresponding to the error sources and error influence degrees of the adjustable areas. The neural network model is supervised and trained using the error balance optimization strategies and adjustment results corresponding to the error sources and error influence degrees of the non-adjustable areas, until the accuracy of the results output by the model meets the requirements, and a layer of depth channel is obtained. The layer of depth channel is also used to process the error distribution characteristics of the P non-adjustable areas, and obtain multiple first error balance optimization strategies and adjustment results output. Based on the error distribution matrix and the Q adjustable regions, a two-layer depth channel is generated. The two-layer depth channel is a data extraction and analysis channel for extracting the error distribution characteristics corresponding to the adjustable regions in the error distribution matrix. The two-layer depth channel includes the error distribution characteristics of Q unadjustable regions. The neural network model is supervised and trained using the error balance optimization strategy corresponding to the error source and the error influence degree of the adjustable region and the adjustment result until the accuracy of the result output by the model meets the requirements, and the two-layer depth channel is obtained. The two-layer depth channel is also used to process the error distribution characteristics of the Q adjustable regions, and obtain multiple output second error balance optimization strategies and adjustment results. Finally, the one-layer depth channel and the two-layer depth channel are connected to obtain the output results of the one-layer depth channel and the two-layer depth channel. With the goal of minimizing the unadjustable error, the first error balance optimization strategy with the smallest unadjustable error sorting output in the one-layer depth channel is extracted as the initial execution strategy of the error balance optimization strategy, and the second error balance optimization strategy with the smallest adjusted error output in the two-layer depth channel is extracted. The obtained second error balance optimization strategy is added to the initial execution strategy of the error balance optimization strategy to obtain the final error balance optimization strategy.

[0031] The method provided in the embodiment of the present application also includes: based on the error balance optimization strategy, after the engineering drawing starts auxiliary correction, updating the synchronous measurement data; importing the updated synchronous measurement data into the BIM model again, tracking the dynamic update of the BIM model, and setting an error correction cycle; in the error correction cycle, judging whether to start the next cycle through the standard error range corresponding to the industry specification standard.

[0032] The method includes: based on the error balance optimization strategy, starting to perform auxiliary correction on the construction deviation and performing auxiliary correction on the engineering drawings, and updating the synchronous measurement data after the engineering drawings start to perform auxiliary correction. Subsequently, the updated synchronous measurement data is imported into the BIM model again to reflect the current actual construction situation. The dynamic update of the BIM model is tracked, the design data and the actual data in the model are compared again, and an error correction cycle is set. The error correction cycle is that after each error correction, the BIM model is compared with the new measurement data, the deviation data is output, and it is determined whether the correction needs to be continued. This cycle can be performed multiple times until all errors are controlled within the allowable range. In the error correction cycle, by comparing the updated BIM model with the industry specification standards, whether the basic agreement information and the supplementary agreement information still exceed the standard error range corresponding to the industry specification standards is detected, and if it exceeds, the next cycle is started. Through continuous error correction cycles, various errors occurring during the construction process can be dynamically adjusted to ensure that the final construction results are accurately aligned with the design drawings and meet the industry specification standards. This method not only improves construction accuracy, but also effectively reduces the workload of later corrections, ensuring project quality and safety.

[0033] The method provided by the embodiment of the present application also includes: the multi-terminal collaborative window of the CAD drawing software supports real-time access of the on-site communication terminal and synchronizes the execution progress of the various correction tasks; through the on-site communication terminal, collects on-site correction data, and embeds a collaborative feedback node in the error correction loop; after each round of the error correction loop ends, dynamically adjusts the priority of each correction task in the next round according to the collaborative feedback node and the on-site correction data.

[0034] In the multi-terminal collaborative window of the CAD drawing software, according to the error balance optimization strategy and the error correction cycle, various correction tasks are distributed to perform error management. The method also includes: the multi-terminal collaborative window of the CAD drawing software supports real-time access to the field communication terminal and synchronizes the execution progress of the various correction tasks. After the error balance optimization strategy is formulated, various correction tasks are distributed to relevant engineers and operators through the field communication terminal, and field correction data is collected. The field communication terminal is connected to the monitoring equipment for communication. And a collaborative feedback node is embedded in the error correction cycle, and the embedded collaborative feedback node is used to feedback the collected data at the current time node. For example, after a wall angle correction, the operator uploads new measurement data through the terminal, showing that the angle error has been reduced from 0.5 degrees to 0.1 degrees. This data is recorded in the collaborative feedback node, and it is automatically determined whether to continue to adjust or mark the task as completed. After each round of the error correction cycle is completed, the priority of each correction task in the next round is dynamically adjusted according to the collaborative feedback node and the on-site correction data, and a higher priority is set for continued adjustment, so that the task to be continued is selected in the subsequent correction process until the standard error range corresponding to the industry specification standard is met.

[0035] In the above, refer to Figure 1 The intelligent auxiliary correction method for engineering drawings according to an embodiment of the present invention is described in detail. Figure 2 An intelligent assisted correction platform for engineering drawings according to an embodiment of the present invention is described.

[0036] The intelligent auxiliary correction platform for engineering drawings according to the embodiment of the present invention solves the technical problem in the prior art that it is difficult to effectively compare and correct the on-site real-time data and the design data during the construction process, which makes it difficult to improve the overall construction quality. By integrating error distribution matrix analysis, error balance optimization strategy generation, dynamic tracking BIM model update, error correction cycle, and real-time feedback and task distribution of multi-terminal collaborative windows, the method can effectively identify and correct errors in construction, improve the construction quality and safety of construction projects. The intelligent auxiliary correction platform for engineering drawings includes: data acquisition module 11, part marking module 12, deviation node acquisition module 13, auxiliary correction module 14, correction cycle module 15, error management module 16.

[0037] The data acquisition module 11 is used to collect synchronous measurement data using monitoring equipment during the construction process after the engineering drawings are completed. The synchronous measurement data includes dimension measurement data, position measurement data, and angle measurement data; A part marking module 12 is used to import the synchronous measurement data into the BIM model, align it with the architectural design data associated with the engineering drawing, and mark the load-bearing parts and non-load-bearing parts; The deviation node acquisition module 13 is used to analyze the construction deviation in the BIM model according to industry standards and obtain the error source and the error impact degree. The error source is used to locate the deviation node in the construction link; The auxiliary correction module 14 is used to generate an error balance optimization strategy based on the error source and the error influence degree, under the constraints of the load-bearing part identification and the non-load-bearing part identification, with the goal of minimizing the unadjustable error, and the error balance optimization strategy is used to assist in correcting the engineering drawing; A correction cycle module 15 is used to track the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and set an error correction cycle according to the error balance optimization strategy; The error management module 16 is used to distribute various correction tasks and perform error management in the multi-terminal collaborative window of the CAD drawing software according to the error balance optimization strategy and the error correction cycle.

[0038] The specific configuration of the deviation node acquisition module 13 will be described in detail below. The surface deviation node acquisition module 13 may further include: analyzing the construction deviation in the BIM model according to industry specifications and standards, obtaining the error source and the error impact degree. Previously, the method also included: extracting basic agreement information based on the pre-sale contract of the future house, the basic agreement information including the first area agreement information; connecting to the user terminal, uploading the supplementary terms contract, and extracting the supplementary agreement information, the basic agreement information including the second area agreement information; based on the basic agreement information and the supplementary agreement information, according to industry specifications and standards, determining the standard error range corresponding to the industry specifications and standards.

[0039] The specific configuration of the deviation node acquisition module 13 will be described in detail below. The deviation node acquisition module 13 further includes: based on the basic agreement information and the supplementary agreement information, according to the industry standard, determining the standard error range corresponding to the industry standard, the method includes: based on the basic agreement information, according to the industry standard, determining the first agreement coverage range; based on the supplementary agreement information, according to the industry standard, determining the second agreement coverage range; on the basis that there is no conflict between the first agreement coverage range and the second agreement coverage range, merging to obtain the standard error range.

[0040] The specific configuration of the auxiliary correction module 14 will be described in detail below. The auxiliary correction module 14 may further include: based on the error source and the error influence degree, under the constraints of the load-bearing part identification and the non-load-bearing part identification, with the goal of minimizing the non-adjustable error, generating an error balance optimization strategy, the method comprising: setting P non-adjustable areas in the BIM model through the load-bearing part identification; setting Q adjustable areas in the BIM model through the non-load-bearing part identification; and setting an error distribution matrix based on the error source and the error influence degree, comparing the P non-adjustable areas and the Q adjustable areas.

[0041] The specific configuration of the auxiliary correction module 14 will be described in detail below. The auxiliary correction module 14 further includes: the P non-adjustable areas and the Q adjustable areas, setting an error distribution matrix, the method includes: based on the error distribution matrix and the P non-adjustable areas, generating a layer of depth channels, the layer of depth channels including the error distribution characteristics of the P non-adjustable areas; based on the error distribution matrix and the Q adjustable areas, generating a second layer of depth channels, the layer of depth channels including the error distribution characteristics of the Q adjustable areas; connecting the first layer of depth channels and the second layer of depth channels, with the goal of minimizing the non-adjustable error, generating an error balance optimization strategy.

[0042] The specific configuration of the auxiliary correction module 14 will be described in detail below. The auxiliary correction module 14 further includes: tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting the error correction cycle in accordance with the error balance optimization strategy, the method includes: based on the error balance optimization strategy, after the engineering drawing starts the auxiliary correction, updating the synchronous measurement data; importing the updated synchronous measurement data into the BIM model again, tracking the dynamic update of the BIM model, and setting the error correction cycle; in the error correction cycle, judging whether to start the next cycle through the standard error range corresponding to the industry specification standard.

[0043] The specific configuration of the error management module 16 will be described in detail below. The error management module 16 further includes: in the multi-terminal collaborative window of the CAD drawing software, according to the error balance optimization strategy and the error correction cycle, distributing various correction tasks and performing error management, the method also includes: the multi-terminal collaborative window of the CAD drawing software supports real-time access of the field communication terminal and synchronizes the execution progress of the various correction tasks; through the field communication terminal, collects field correction data, and embeds a collaborative feedback node in the error correction cycle; after each cycle of the error correction cycle ends, dynamically adjusts the priority of each correction task in the next cycle according to the collaborative feedback node and the field correction data.

[0044] The intelligent assisted correction platform for engineering drawings provided in the embodiments of the present invention can execute the intelligent assisted correction method for engineering drawings provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0045] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0046] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An intelligent auxiliary correction method for engineering drawings, characterized in that: The method comprises: After the engineering drawings are completed, monitoring equipment is used during the construction process to collect synchronous measurement data, which includes dimensional measurement data, position measurement data, and angle measurement data; Importing the synchronized measurement data into the BIM model, aligning it with the architectural design data associated with the engineering drawings, and marking the load-bearing parts and non-load-bearing parts; According to industry standards, the construction deviations in the BIM model are analyzed to obtain the error sources and the degree of error impact. The error sources are used to locate the deviation nodes in the construction process. Based on the error sources and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, an error balance optimization strategy is generated with the goal of minimizing the unadjustable error, and the error balance optimization strategy is used to assist in correcting the engineering drawings; Tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting the error correction cycle according to the error balance optimization strategy; In the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed according to the error balance optimization strategy and the error correction cycle to perform error management.

2. The intelligent auxiliary correction method for engineering drawings according to claim 1, characterized in that: According to industry standards, the construction deviation in the BIM model is analyzed to obtain the error source and the error impact degree. Before that, the method also includes: Extracting basic agreement information based on the pre-sale contract of the future house, wherein the basic agreement information includes first area agreement information; Connecting to the user terminal, uploading the supplementary terms contract, and extracting the supplementary agreement information, wherein the basic agreement information includes the second area agreement information; Based on the basic agreed information and supplementary agreed information, and in accordance with industry norms and standards, determine the standard error range corresponding to the industry norms and standards.

3. The intelligent auxiliary correction method for engineering drawings according to claim 2, characterized in that: Based on the basic agreed information and the supplementary agreed information, and in accordance with industry standards, a standard error range corresponding to the industry standards is determined, the method comprising: Based on the basic agreement information and in accordance with industry standards, determine the first agreement coverage; Based on the supplementary agreement information and in accordance with industry standards, determine the coverage of the second agreement; On the basis that there is no conflict between the first agreed coverage range and the second agreed coverage range, the standard error range is obtained by merging them.

4. The intelligent auxiliary correction method for engineering drawings according to claim 1, characterized in that: Based on the error sources and the degree of error influence, under the constraints of the load-bearing part identification and the non-load-bearing part identification, an error balance optimization strategy is generated with the goal of minimizing the unadjustable error. The method includes: By identifying the load-bearing parts, P non-adjustable areas are set in the BIM model; By identifying the non-load-bearing parts, Q adjustable areas are set in the BIM model; Based on the error sources and the error influence degree, an error distribution matrix is ​​set in comparison with the P non-adjustable areas and the Q adjustable areas.

5. The intelligent auxiliary correction method for engineering drawings according to claim 4, characterized in that: The P non-adjustable areas and the Q adjustable areas are provided with an error distribution matrix, and the method comprises: Based on the error distribution matrix and the P non-adjustable regions, a layer of depth channels is generated, wherein the layer of depth channels includes error distribution features of the P non-adjustable regions; Based on the error distribution matrix and the Q adjustable regions, a two-layer depth channel is generated, wherein the one-layer depth channel includes error distribution features of the Q adjustable regions; The first-layer depth channel and the second-layer depth channel are connected to generate an error balance optimization strategy with the goal of minimizing the unadjustable error.

6. The intelligent auxiliary correction method for engineering drawings according to claim 5, characterized in that: Tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting the error correction cycle according to the error balance optimization strategy, the method includes: Based on the error balance optimization strategy, after the engineering drawing begins auxiliary correction, updating the synchronous measurement data; Re-importing the updated synchronized measurement data into the BIM model, tracking the dynamic update of the BIM model, and setting an error correction loop; In the error correction cycle, whether to start the next cycle is determined by the standard error range corresponding to the industry specification standard.

7. The intelligent auxiliary correction method for engineering drawings according to claim 6, characterized in that: In the multi-terminal collaborative window of the CAD drawing software, various correction tasks are distributed according to the error balance optimization strategy and the error correction cycle to perform error management, and the method further includes: The multi-terminal collaborative window of the CAD drawing software supports real-time access by on-site communication terminals and synchronizes the execution progress of the various correction tasks; Collecting field correction data through the field communication terminal and embedding a collaborative feedback node in the error correction loop; After each round of the error correction cycle is completed, the priorities of the correction tasks in the next round are dynamically adjusted according to the collaborative feedback node and the on-site correction data.

8. Intelligent auxiliary correction platform for engineering drawings, characterized by: The platform includes: A data acquisition module is used to collect synchronous measurement data using monitoring equipment during the construction process after the engineering drawings are completed. The synchronous measurement data includes dimension measurement data, position measurement data, and angle measurement data; A part marking module is used to import the synchronous measurement data into the BIM model, align it with the architectural design data associated with the engineering drawing, and mark the load-bearing parts and non-load-bearing parts; A deviation node acquisition module is used to analyze the construction deviation in the BIM model according to industry specifications and standards, and obtain the error source and the degree of error impact. The error source is used to locate the deviation node in the construction link; An auxiliary correction module, for generating an error balance optimization strategy based on the error source and the error influence degree, under the constraints of the load-bearing part identification and the non-load-bearing part identification, with the goal of minimizing the unadjustable error, wherein the error balance optimization strategy is used to assist in correcting the engineering drawing; A correction cycle module, for tracking the dynamic update of the BIM model through the standard error range corresponding to the industry specification standard, and setting an error correction cycle according to the error balance optimization strategy; The error management module is used to distribute various correction tasks and perform error management in the multi-terminal collaborative window of the CAD drawing software according to the error balance optimization strategy and the error correction cycle.

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