Intelligent review method, system, equipment and readable storage medium for construction project drawings

Through semantic recognition technology, the data to be approved is obtained from the design drawings and the approval is carried out using specific technical means, which solves the problem of manual review taking time and being prone to errors, and achieves a more efficient and accurate review process.

CN114005135BActive Publication Date: 2025-02-18PINGAN INT SMART CITY TECH CO LTD
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Patent Information

Application Number
CN202111274353.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-10-29
Publication Date
2025-02-18
Estimated Expiration
2041-10-29

AI Technical Summary

Technical Problem

In the existing technology, manual review of construction project drawings requires a lot of energy, the cycle is long and easy to cause review errors, which affects subsequent construction.

Method used

The data to be approved from the design drawings is obtained through semantic recognition technology, and the location data, spatial range data and spatial distance data are approved by preset position regulations approval templates, overlap analysis technology and buffer analysis technology to generate audit information.

Benefits of technology

It effectively improves the timeliness, scientificity and accuracy of audits, reduces the time and energy of manual audits, and reduces the risk of audit errors.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to artificial intelligence technology, and discloses a method for intelligent review of construction project drawings, including: determining the type keyword of the target construction project according to the design drawings of the target construction project, thereby determining the project type of the target construction project according to the type keyword; obtaining the data to be approved corresponding to the project type from the design drawings according to the preset drawing data acquisition template; performing position conformity approval processing on the position data, spatial range approval processing on the spatial range data, and spatial distance approval processing on the spatial distance data, as the data approval result of the target construction project; generating the review information of the target construction project according to the data approval result. The present invention also relates to blockchain technology, and the preset drawing data acquisition template is stored in the blockchain. The present invention can solve the problem that in the prior art, manual review of construction projects requires a lot of energy, a long cycle, and is prone to review errors, which affects subsequent construction.
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Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence, and in particular to a construction project drawing intelligent review method, system, electronic equipment and readable storage medium. Background Art

[0002] For construction projects, each construction project is equipped with design drawings. The approval of construction projects, especially the review and approval of large-scale construction projects, is mainly based on the review of the design drawings of the construction projects. If the review is passed, the project will be approved and the project approval is completed.

[0003] At present, the approval of construction projects is generally completed through manual review of design drawings. For large-scale construction projects, this manual review approval method has certain defects. For example, the river area of ​​a river-related construction project is large, and it is necessary to build bridges across the river, through the river, through the embankment, and adjacent to the river within the river management area. It is also necessary to build docks, roads, ferries, pipelines, cables and other facilities. Manual review of design drawings requires a lot of energy, takes a long time, and is prone to review errors, leading to problems in subsequent construction. Summary of the invention

[0004] The present invention provides a method, system, electronic device and readable storage medium for intelligent review of construction project drawings. The main purpose of the present invention is to solve the problems in the prior art that manual review of construction project drawings requires a lot of effort, takes a long time, is prone to review errors, and affects subsequent construction.

[0005] In a first aspect, in order to achieve the above-mentioned purpose, the present invention provides a method for intelligent review of construction project drawings, the method comprising:

[0006] Determine a type keyword of the target construction project according to the design drawings of the target construction project, thereby determining the project type of the target construction project according to the type keyword;

[0007] According to a preset drawing data acquisition template, the data to be approved corresponding to the project type is acquired from the design drawing by using semantic recognition technology; wherein the preset drawing data acquisition template includes the project type and the items of the data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data;

[0008] The location data is respectively subjected to location compliance approval processing through a preset location regulation approval template, the spatial range data is subjected to spatial range approval processing through an overlapping analysis technique, and the spatial distance data is subjected to spatial distance approval processing through a buffer analysis technique, and the location compliance approval results, spatial range approval results, and spatial distance approval results obtained respectively are used as data approval results for the target construction project;

[0009] Based on the data approval result, the audit information of the target construction project is generated.

[0010] In a second aspect, in order to solve the above problem, the present invention further provides a construction project drawing intelligent review system, the system comprising:

[0011] A project type determination module, used to determine a type keyword of the target construction project according to a design drawing of the target construction project, thereby determining a project type of the target construction project according to the type keyword;

[0012] The module for acquiring data to be approved is used to acquire data to be approved corresponding to the project type from the design drawing by using semantic recognition technology according to a preset drawing data acquisition template; wherein the preset drawing data acquisition template includes a project type and items of data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data;

[0013] A data approval result acquisition module is used to perform location compliance approval processing on the location data through a preset location regulation approval template, perform spatial range approval processing on the spatial range data through an overlap analysis technique, and perform spatial distance approval processing on the spatial distance data through a buffer analysis technique, and use the location compliance approval results, spatial range approval results, and spatial distance approval results obtained respectively as data approval results for the target construction project;

[0014] The audit information generation module is used to generate audit information for the target construction project according to the data approval result.

[0015] In a third aspect, in order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0016] at least one processor; and,

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the intelligent review method for construction project drawings as described above.

[0019] In a fourth aspect, in order to solve the above-mentioned problem, the present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, implements the intelligent review method for construction project drawings as described above.

[0020] The intelligent review method, system, electronic device and readable storage medium of construction project drawings proposed in the present invention respectively review the location data, spatial range data and spatial distance data of the design drawings of the target construction project through the preset location regulation review template, overlap analysis technology and buffer analysis technology, thereby giving the review result, effectively improving the timeliness, scientificity and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of a process flow of a construction project drawing intelligent review method provided by an embodiment of the present invention;

[0022] Figure 2 A schematic diagram of the modules of a construction project drawing intelligent review system provided by an embodiment of the present invention;

[0023] Figure 3 A schematic diagram of the internal structure of an electronic device for implementing a method for intelligent review of construction project drawings provided by an embodiment of the present invention;

[0024] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0025] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0026] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0027] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0028] The present invention provides a construction project drawing intelligent review method. Figure 1 FIG. 1 is a flow chart of a construction project drawing intelligent review method provided by an embodiment of the present invention. The method can be executed by a device, and the device can be implemented by software and / or hardware.

[0029] In this embodiment, the intelligent review method for construction project drawings includes:

[0030] Step S110: determining a type keyword of the target construction project according to the design drawings of the target construction project, thereby determining a project type of the target construction project according to the type keyword.

[0031] Specifically, for construction projects, each construction project is equipped with design drawings, especially large-scale construction projects. The approval of construction projects refers to the review of the design drawings of the construction projects. After the review is passed, the project is approved and the project approval is completed. At present, the approval work for construction projects is completed by manually reviewing the design drawings, which has certain defects for large-scale construction projects. For example, for river-related construction projects, the river occupies a large area, and it is necessary to build bridges across the river, through the river, through the embankment, adjacent to the river, etc. within the river management scope, and it is also necessary to build docks, roads, ferries, pipelines, cables and other facilities. Manual review of design drawings requires a lot of energy, a long period of time, and is prone to review errors, leading to subsequent construction problems. Therefore, the present invention provides a method for intelligently reviewing the drawings of target construction projects, which can quickly, scientifically and accurately review the design drawings of target construction projects. When a construction project needs to be reviewed, the construction project is taken as the target construction project, and the design drawings of the target construction project are input through the client. For construction projects, each construction project is equipped with design drawings, and the design drawings have corresponding type keywords. The project type of the construction project can be identified through the type keywords on the design drawings. For example, the design drawings will indicate the titles of the design drawings such as river-related project drawings or railway construction drawings (ie, type keywords), and the project type of the target construction project can be identified through the titles.

[0032] Step S120, according to the preset drawing data acquisition template, obtain the data to be approved corresponding to the project type from the design drawings through semantic recognition technology; wherein the preset drawing data acquisition template includes the project type and the entries of the data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data.

[0033] Specifically, the data required for approval for different construction projects are different. For example, for river-related projects, in terms of spatial location, it is necessary to approve the location of pipeline laying and river embankment construction; in terms of spatial scope approval, it is necessary to approve whether the ecological line in the national land planning meets the requirements; in terms of spatial distance, it is necessary to approve the spatial distances such as flood control standards, shoreline planning, shipping requirements and engineering design standards; and for other types of construction projects, there are different specific review data items in terms of location, spatial scope and spatial distance. Therefore, a preset drawing data acquisition template is provided. In the preset drawing data acquisition template, the project types of various construction projects and the items of data to be approved corresponding to the project types are included, and the specific review aspects of the data to be approved generally include location data, spatial scope data and spatial distance data. Through the items of data to be approved corresponding to the project type listed in the preset drawing data acquisition template, the items can be identified through semantic recognition technology, and the corresponding data to be approved can be obtained from the design drawings according to the identified items.

[0034] As an optional embodiment of the present invention, a preset drawing data acquisition template is stored in the blockchain, and according to the preset drawing data acquisition template, obtaining the pending approval data corresponding to the project type from the design drawing through semantic recognition technology includes:

[0035] According to the project type, the entry of the data to be approved corresponding to the project type is obtained from the preset drawing data acquisition template;

[0036] According to the items of data to be approved, the data to be approved is obtained from the design drawings through semantic recognition technology.

[0037] Specifically, in the preset drawing data acquisition template, the entries of the data to be approved corresponding to each project type can be divided into entries of location data, entries of spatial range data and entries of spatial distance data. According to the entries of various data, the corresponding data to be approved is obtained from the design drawings. For example, the construction project drawing is to build a river-related project highway next to a first-level river (Pearl River), where the project type is a river-related project. The entries of the data to be approved corresponding to the river-related project are found in the preset drawing data acquisition template. For example, the entries of the data to be approved corresponding to the river-related project include: the entry of the location data needs to obtain the location data of the target construction project drawing (highway), including the starting position, and the route position passed, etc.; the entry of the spatial range data includes the road paving range data of the target construction project drawing (highway) that needs to be obtained; the entry of the spatial distance data includes the height data of the target construction project drawing (highway) that needs to be obtained. The above data are all examples, and the actual application is not limited to this, and can be set according to actual needs.

[0038] Step S130: perform location compliance approval processing on the location data through the preset location regulation approval template, perform spatial range approval processing on the spatial range data through the overlapping analysis technology, and perform spatial distance approval processing on the spatial distance data through the buffer analysis technology, and use the location compliance approval results, spatial range approval results and spatial distance approval results obtained respectively as the data approval results of the target construction project.

[0039] Specifically, the preset location regulatory approval template can be set according to the terms and conditions of the regulatory document library (laws, regulations, standards, specifications), for example, the relevant provisions on whether a highway can be built on a first-level river; then, by comparing the location data with the contents of the preset location regulatory approval template, the location compliance approval is completed, which can be done by crawling rules or by collecting data to create a model.

[0040] Design drawings are drawings with different component layers, such as CAD version drawings. The spatial range data in the design drawings of the target construction project are extracted in the form of layers, and overlapped with the pre-acquired geographic spatial planning layers. According to the spatial range data classification, coding and data format requirements stipulated by the current industry, spatial data such as national land space planning, river management range lines, river blue lines, ecological red lines, etc. can be layered and classified to facilitate overlapping processing.

[0041] Extract the layer with spatial distance data in the design drawing, and then use the points, lines, and surfaces of the layer to analyze the buffer area with the standard spatial distance data threshold. When the standard spatial distance data threshold is met, it means that the spatial distance approval has been passed. The above-mentioned location conformity approval results, spatial range approval results, and spatial distance approval results are used as the data approval results of the target construction project.

[0042] As an optional embodiment of the present invention, performing location compliance approval processing on location data by using a preset location regulation approval template includes:

[0043] Obtain the approval regulations clauses corresponding to the project type from the preset location regulations approval template as the target approval regulations clauses;

[0044] The target approval regulations are processed in turn with word segmentation, part-of-speech tagging and semantic role tagging to obtain a set of regulatory approval words;

[0045] The location data is processed for location compliance approval using a regulatory approval word set to obtain a location compliance approval result.

[0046] Specifically, the preset location regulatory approval template may include various project types and the approval regulatory clauses corresponding to the project types. The corresponding approval regulatory clauses are obtained from the preset location regulatory approval template according to the project type of the target construction project. The approval regulatory clauses may contain multiple approval items. Therefore, each approval item in the target approval regulatory clause may be segmented, part-of-speech tagged, and semantic role tagged to obtain a regulatory approval word set. Since the annotated words have a certain semantic recognition function, the location data can be subject to location compliance approval to obtain a location compliance approval result.

[0047] As an optional embodiment of the present invention, performing spatial range approval processing on spatial range data by using overlap analysis technology includes:

[0048] Overlapping the spatial range data in the form of a geographic layer with the pre-acquired geographic spatial planning layer to obtain an overlapping result; wherein the pre-acquired geographic spatial planning layer includes a protection level and a protection limit line corresponding to the protection level;

[0049] Based on the overlapping results, the spatial scope approval results are generated in accordance with the preset geographic spatial scope approval rules; wherein the preset geographic spatial scope approval rules include the overlapping requirements of the protection level and the protection limit line corresponding to the protection level.

[0050] Specifically, the planning layer data related to land resources, water affairs, environmental protection, etc. are accessed through GIS spatial analysis tools, and the relevant data are organized into geographic spatial planning layers. Then, the spatial range data is overlapped with the geographic spatial planning layer in the form of a geographic layer. The geographic spatial planning layer includes the protection level and the protection limit line corresponding to the protection level. According to the overlap results of the two layers, the spatial range approval results are generated according to the preset geographic spatial range approval rules. The preset geographic spatial range approval rules include the overlap requirements of the protection level and the protection limit line corresponding to the protection level. For example, a new cable pipeline is to be built in the first-level river channel. The cable GIS layer (spatial range data in the form of a geographic layer) is spatially compared with the land space planning, river management range line, river blue line, and ecological red line (pre-acquired geographic spatial planning layer). For example, the river channel pipeline is divided into first-level protection, second-level protection, and third-level protection in a layered manner. Different protection levels correspond to different management requirements. For example, the cable can be built in the third-level protection zone. According to the spatial overlay analysis, it is determined that the cable is within the third-level protection zone, indicating that the project design drawings are reasonable in the spatial range approval.

[0051] As an optional embodiment of the present invention, performing spatial distance approval processing on spatial distance data by using buffer analysis technology includes:

[0052] Collect the location spatial data of the target construction project through geographic data collection tools;

[0053] According to the location spatial data and the preset design standard template, formulate the standard spatial distance data threshold of the target construction project;

[0054] The spatial distance approval result is obtained by comparing the spatial distance data with the standard spatial distance data threshold.

[0055] Specifically, the location spatial data of the target construction project can be obtained by accessing the geographic database through the GIS spatial analysis tool, and then the standard spatial distance data threshold of the target construction project can be formulated through the preset design standard template, and the spatial distance data can be compared with the standard spatial distance data threshold to obtain the spatial distance approval result. For example, the flood control standard requires that the elevation of the river project shall not be less than 5 meters. By comparing the flood control elevation to 5.2 meters, that is, ≥5 meters, which meets the requirements, the spatial distance approval result is obtained.

[0056] Step S140: Generate audit information for the target construction project based on the data approval result.

[0057] Specifically, the data approval results are summarized, and the final review information for the target construction project is generated based on the data approval results to complete the approval of the target project.

[0058] As an optional embodiment of the present invention, generating audit information for the target construction project according to the data approval result includes:

[0059] When the location conformity approval result, the spatial scope approval result and the spatial distance approval result are all approved, the review and approval information of the target construction project is generated, and the target construction project is stored in the preset approved project library;

[0060] When there is an approval failure in the location conformity approval results, the spatial scope approval results and the spatial distance approval results, the audit failure information for the target construction project is generated, and corresponding prompt information of the failed data is generated.

[0061] Specifically, the data approval results include the location conformity approval results, the spatial scope approval results, and the spatial distance approval results. Only when all the approval results are passed, it means that the target project has been approved, thereby generating approval information, and storing the target project in the preset approved project library for subsequent construction. When any of the location conformity approval results, spatial scope approval results, and spatial distance approval results fails to pass, the audit failure information is generated, and the prompt information of the failed data is generated accordingly, so as to facilitate search and modification.

[0062] As an optional embodiment of the present invention, when the location conformity approval result, the spatial range approval result and the spatial distance approval result are all approved, the approval information of the target construction project is generated, and the target construction project is stored in the preset approved project library, it also includes:

[0063] Extract approved projects from the preset approved project library;

[0064] Verify the approved projects.

[0065] Specifically, in order to increase the accuracy of approval, approved projects can be extracted from the preset approved project library for re-verification, thereby continuously optimizing the review method and improving accuracy.

[0066] like Figure 2 1 is a functional module diagram of an intelligent review device for construction project drawings according to an embodiment of the present invention.

[0067] The intelligent review system 200 for construction project drawings of the present invention can be installed in an electronic device. According to the functions to be implemented, the intelligent review system for construction project drawings can include a project type determination module 210, a data acquisition module 220 for approval, a data approval result acquisition module 230, and an audit information generation module 240. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0068] In this embodiment, the functions of each module / unit are as follows:

[0069] The project type determination module 210 is used to determine a type keyword of the target construction project according to the design drawings of the target construction project, thereby determining the project type of the target construction project according to the type keyword.

[0070] Specifically, for construction projects, each construction project is equipped with design drawings, especially large-scale construction projects. The approval of construction projects refers to the review of the design drawings of the construction projects. After the review is passed, the project is approved and the project approval is completed. At present, the approval work for construction projects is completed by manually reviewing the design drawings, which has certain defects for large-scale construction projects. For example, for river-related construction projects, the river occupies a large area, and it is necessary to build bridges across the river, through the river, through the embankment, adjacent to the river, etc. within the river management scope, and it is also necessary to build docks, roads, ferries, pipelines, cables and other facilities. Manual review of design drawings requires a lot of energy, a long period of time, and is prone to review errors, leading to subsequent construction problems. Therefore, the present invention provides a method for intelligently reviewing the drawings of target construction projects, which can quickly, scientifically and accurately review the design drawings of target construction projects. When a construction project needs to be reviewed, the construction project drawings are used as the target construction project, and the design drawings of the target construction project are input through the client. For the construction project, each construction project drawing is equipped with a design drawing, and the design drawing has a corresponding type keyword. The project type of the construction project can be identified through the type keyword on the design drawing. For example, the title of the design drawings such as river project drawings or railway construction drawings (ie, type keywords) will be marked on the design drawings, and the project type of the target construction project can be identified through the title.

[0071] The module 220 for acquiring data to be approved is used to acquire data to be approved corresponding to the project type from the design drawings through voice recognition technology according to a preset drawing data acquisition template; wherein the preset drawing data acquisition template includes the project type and entries of data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data.

[0072] Specifically, there are differences in the data required for approval of different construction projects. For example, in terms of spatial location, the approval of river-related projects requires approval of the pipeline laying location, river embankment construction location, etc.; in terms of spatial scope approval, it is necessary to approve whether the ecological line in the national land planning meets the requirements; in terms of spatial distance, it is necessary to approve spatial distances such as flood control standards, shoreline planning, shipping requirements, and engineering design standards; and for other project types of construction projects, there are different specific review data items in terms of location, spatial scope, and spatial distance. Therefore, a preset drawing data acquisition template is provided. In the preset drawing data acquisition template, the project types of various construction projects and the items of data to be approved corresponding to the project types are included, and the specific review aspects of the data to be approved generally include location data, spatial scope data, and spatial distance data.

[0073] As an optional embodiment of the present invention, the to-be-approved data acquisition module 220 further includes: an item acquisition unit of the to-be-approved data and a to-be-approved data acquisition unit (not shown in the figure), wherein:

[0074] The item acquisition unit of the data to be approved is used to acquire the item of the data to be approved corresponding to the project type from the preset drawing data acquisition template according to the project type;

[0075] The data to be approved obtaining unit is used to obtain the data to be approved from the design drawings through semantic recognition technology according to the items of the data to be approved.

[0076] Specifically, in the preset drawing data acquisition template, the entries of the pending data corresponding to each project type can be divided into the entries of location data, the entries of spatial range data and the entries of spatial distance data. According to the entries of various data, the corresponding pending data is obtained from the design drawings. For example, the construction project is to build a river-related project highway next to a first-level river (Pearl River), where the project type is a river-related project. The entry of the pending data corresponding to the river-related project is found in the preset drawing data acquisition template through the pending data entry acquisition unit. For example, the entry of the pending data corresponding to the river-related project includes: the entry of the location data needs to obtain the location data of the target construction project (highway), including the starting position, and the route position passed, etc.; the entry of the spatial range data includes the road paving range data of the target construction project (highway) that needs to be obtained; the entry of the spatial distance data includes the height of the target construction project (highway) that needs to be obtained, and then the pending data acquisition unit obtains the pending data from the design drawings according to the above-mentioned pending data entries. The above-mentioned data are all examples, and the actual application is not limited to this, and can be set according to actual needs.

[0077] The data approval result acquisition module 230 is used to perform location compliance approval processing on the location data through a preset location regulation approval template, to perform spatial range approval processing on the spatial range data through overlapping analysis technology, and to perform spatial distance approval processing on the spatial distance data through buffer analysis technology, and use the respectively obtained location compliance approval results, spatial range approval results and spatial distance approval results as the data approval results of the target construction project.

[0078] Specifically, the preset location regulation approval template can be specifically set according to the content of the regulation document library (laws, regulations, standards, specifications), for example, the relevant provisions on whether a highway can be built on a first-level river; then the location data is compared with the contents in the preset location regulation approval template to complete the location compliance approval, which can be done by crawling rules or by collecting data to create a model. The design drawings are drawings with different component layers, such as CAD version drawings. The spatial range data in the design drawings of the target construction project are extracted in the form of layers, and the layers are overlapped with the pre-acquired geographic spatial planning layers. According to the spatial range data classification, coding and data format requirements stipulated by the current industry, the spatial data such as national land space planning, river management range line, river blue line, ecological red line, etc. can be hierarchically classified to facilitate overlapping processing. Extract the layers with spatial distance data in the design drawings, and then use the points, lines, and surfaces of the layers to perform buffer area analysis with the standard spatial distance data threshold. When the standard spatial distance data threshold is met, it means that the spatial distance approval has been passed. The above-mentioned location compliance approval results, spatial range approval results, and spatial distance approval results are used as the data approval results of the target construction project.

[0079] As an optional embodiment of the present invention, the data approval result acquisition module 230 further includes a location compliance approval processing unit, which further includes a target approval regulation clause acquisition subunit, a regulation approval word set acquisition subunit and a location compliance approval result acquisition subunit (not shown in the figure), wherein:

[0080] The target approval regulations clause acquisition subunit is used to acquire the approval regulations clause corresponding to the project type from the preset position regulations approval template as the target approval regulations clause;

[0081] The regulatory approval word set acquisition subunit is used to sequentially perform word segmentation, part-of-speech tagging and semantic role tagging on the target approval regulatory clauses to obtain the regulatory approval word set;

[0082] The location compliance approval result acquisition subunit is used to perform location compliance approval processing on the location data through the regulatory approval word set to obtain the location compliance approval result.

[0083] Specifically, the preset location regulatory approval template may include various project types and the approval regulatory clauses corresponding to the project types. The target approval regulatory clause acquisition subunit may obtain the corresponding approval regulatory clauses from the preset location regulatory approval template according to the project type of the target construction project. The approval regulatory clauses may include multiple approval items. Therefore, the regulatory approval word set acquisition subunit may perform word segmentation, part-of-speech tagging and semantic role tagging on each approval item in the target approval regulatory clause to obtain the regulatory approval word set. The annotated words have a certain semantic recognition function. Therefore, the location compliance approval result acquisition subunit may use the regulatory approval word set to perform location compliance approval on the location data to obtain the location compliance approval result.

[0084] As an optional embodiment of the present invention, the data approval result acquisition module 230 further includes a spatial range approval processing unit, and the spatial range approval processing unit further includes an overlap processing subunit and a spatial range approval result generation subunit (not shown in the figure), wherein:

[0085] The overlapping processing subunit is used to perform layer overlapping processing on the spatial range data in the form of a geographic layer and a pre-acquired geographic spatial planning layer to obtain an overlapping result; wherein the pre-acquired geographic spatial planning layer includes a protection level and a protection limit line corresponding to the protection level;

[0086] The spatial scope approval result generation subunit is used to generate the spatial scope approval result according to the overlapping result and the preset geographic spatial scope approval rules; wherein the preset geographic spatial scope approval rules include the overlapping requirements of the protection level and the protection limit line corresponding to the protection level.

[0087] Specifically, the planning layer data related to land resources, water affairs, environmental protection, etc. are accessed through the GIS spatial analysis tool, and the relevant data are organized into geographic space planning layers. Then, the spatial range data is overlapped with the geographic space planning layer in the form of a geographic layer through the overlapping processing sub-unit. The geographic space planning layer includes the protection level and the protection limit line corresponding to the protection level. According to the overlapping results of the two layers, the spatial range approval result is generated by the spatial range approval result generation sub-unit according to the preset geographic space range approval rules. The preset geographic space range approval rules include the overlapping requirements of the protection level and the protection limit line corresponding to the protection level. For example, if a new cable pipeline is to be built in a primary river, the cable GIS layer (spatial range data is presented in the form of a geographic layer) will be spatially compared with the national land space planning, river management range line, river blue line, and ecological red line (pre-acquired geographic space planning layer). For example, the river pipeline is divided into primary protection, secondary protection, tertiary protection and other categories in a layered manner. Different protection levels correspond to different management requirements. For example, the cable can be constructed in the third-level protection area. According to the spatial overlay analysis, it is determined that the cable is within the third-level protection area, which means that the project design drawings are reasonable in the spatial range approval.

[0088] As an optional embodiment of the present invention, the data approval result acquisition module 230 further includes a spatial distance approval processing unit, which further includes a position space data acquisition subunit, a threshold setting subunit and a spatial distance approval result generation subunit (not shown in the figure), wherein:

[0089] A location spatial data collection subunit is used to collect location spatial data of a target construction project through a geographic data collection tool;

[0090] A threshold setting subunit is used to set a standard spatial distance data threshold for a target construction project based on the location spatial data and a preset design standard template;

[0091] The spatial distance approval result generating subunit is used to obtain the spatial distance approval result by comparing the spatial distance data with the standard spatial distance data threshold.

[0092] Specifically, the location spatial data acquisition subunit can use GIS spatial analysis tools to access the geographic database to obtain the location spatial data of the target construction project, and then the threshold setting subunit can set the standard spatial distance data threshold of the target construction project according to the preset design standard template, and the spatial distance approval result generation subunit can compare the spatial distance data with the standard spatial distance data threshold to obtain the spatial distance approval result. For example, the flood control standard requires that the elevation of the river project shall not be less than 5 meters. By comparing the flood control elevation to 5.2 meters, that is, ≥5 meters, which meets the requirements, the spatial distance approval result is obtained.

[0093] The audit information generation module 240 is used to generate audit information for the target construction project according to the data approval result.

[0094] Specifically, the data approval results are summarized, and the final review information for the target construction project is generated based on the data approval results to complete the approval of the target project.

[0095] As an optional embodiment of the present invention, the audit information generation module 240 further includes an approval processing unit and an approval failure processing unit (not shown in the figure), wherein:

[0096] An approval processing unit is used to generate approval information for a target construction project when the location conformity approval result, the spatial range approval result and the spatial distance approval result are all approved, and store the target construction project in a preset approved project library;

[0097] The approval failure processing unit is used to generate the review failure information for the target construction project when there is approval failure in the location conformity approval results, spatial scope approval results and spatial distance approval results, and generate corresponding prompt information of the failed data.

[0098] Specifically, the data approval results include the location conformity approval results, the spatial scope approval results, and the spatial distance approval results. Only when all the approval results are passed, it means that the target project has been approved, thereby generating approval information, and storing the target project in the preset approved project library for subsequent construction. When any of the location conformity approval results, spatial scope approval results, and spatial distance approval results fails to pass, the audit failure information is generated, and the prompt information of the failed data is generated accordingly, so as to facilitate search and modification.

[0099] As an optional embodiment of the present invention, the construction project drawing intelligent review system 200 further includes a verification module, which further includes an approved project extraction unit and a verification unit (not shown in the figure), wherein:

[0100] The approved project extraction unit is used to extract the approved projects from the preset approved project library;

[0101] The verification unit is used to verify the approved projects.

[0102] Specifically, in order to increase the accuracy of approval, approved projects can be extracted from the preset approved project library through the approved project extraction unit, and verified again through the verification unit, thereby continuously optimizing the review method and improving accuracy.

[0103] like Figure 3, which is a schematic diagram of the structure of an electronic device for implementing a method for intelligent review of construction project drawings according to an embodiment of the present invention.

[0104] The electronic device 1 may include a processor 10 , a memory 11 and a bus, and may also include a computer program stored in the memory 11 and executable on the processor 10 , such as a construction project drawing intelligent review program 12 .

[0105] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 can be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 can also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 can also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the intelligent review program for construction project drawings, etc., but also can be used to temporarily store data that has been output or is to be output.

[0106] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as construction project drawing intelligent review programs, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0107] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0108] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0109] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0110] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0111] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0112] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0113] The construction project drawing intelligent review program 12 stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0114] Determining a type keyword of the target construction project according to the design drawings of the target construction project, thereby determining a project type of the target construction project according to the type keyword;

[0115] According to a preset drawing data acquisition template, the data to be approved corresponding to the project type is acquired from the design drawing through semantic recognition; wherein the preset drawing data acquisition template includes the project type and the items of the data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data;

[0116] Perform location compliance approval processing on the location data through a preset location regulation approval template, perform spatial range approval processing on the spatial range data through an overlap analysis technique, and perform spatial distance approval processing on the spatial distance data through a buffer analysis technique, and use the location compliance approval results, spatial range approval results, and spatial distance approval results obtained respectively as data approval results for the target construction project;

[0117] Based on the data approval results, audit information for the target construction project is generated.

[0118] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiment is not repeated here. It should be emphasized that in order to further ensure the privacy and security of the above-mentioned preset drawing data acquisition template, the above-mentioned preset drawing data acquisition template can also be stored in a node of a blockchain.

[0119] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0120] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0121] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0122] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0123] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0124] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0125] The blockchain referred to in this invention is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0126] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A construction project drawing intelligent review method, applied to an electronic device, characterized in that: The method comprises: Determine a type keyword of the target construction project according to the design drawings of the target construction project, thereby determining the project type of the target construction project according to the type keyword; According to a preset drawing data acquisition template, the data to be approved corresponding to the project type is acquired from the design drawing by using semantic recognition technology; wherein the preset drawing data acquisition template includes the project type and the items of the data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data; the project type is a highway in a river-related project; the items of the location data include the starting position of the highway and the position of the route passed; the items of the spatial range data include the road paving range data; the items of the spatial distance data include the height data; The location data is respectively subjected to location compliance approval processing through a preset location regulation approval template, the spatial range data is subjected to spatial range approval processing through an overlapping analysis technique, and the spatial distance data is subjected to spatial distance approval processing through a buffer analysis technique, and the respectively obtained location compliance approval results, spatial range approval results, and spatial distance approval results are used as data approval results of the target construction project; wherein, the spatial range approval processing of the spatial range data through the overlapping analysis technique includes: overlapping the spatial range data with a pre-acquired geographic spatial planning layer in the form of a geographic layer to obtain an overlapping result; wherein, the pre-acquired geographic spatial planning layer includes a protection level and a protection limit line corresponding to the protection level; according to the overlapping result, a spatial range approval result is generated in accordance with the preset geographic spatial range approval rules; wherein, the preset geographic spatial range approval rules include overlapping requirements for protection levels and protection limit lines corresponding to the protection levels; Based on the data approval result, the audit information of the target construction project is generated.

2. The intelligent review method for construction project drawings according to claim 1 is characterized in that: The preset drawing data acquisition template is stored in the blockchain, and the method of acquiring the pending approval data corresponding to the project type from the design drawing by using semantic recognition technology according to the preset drawing data acquisition template includes: According to the project type, obtaining items of data to be approved corresponding to the project type from the preset drawing data acquisition template; According to the items of the data to be approved, the data to be approved is obtained from the design drawings by using semantic recognition technology.

3. The intelligent review method for construction project drawings according to claim 1 is characterized in that: The performing location compliance approval processing on the location data by using a preset location regulation approval template includes: Acquire the approval regulation clause corresponding to the project type from the preset location regulation approval template as the target approval regulation clause; The target approval regulations are sequentially subjected to word segmentation, part-of-speech tagging and semantic role tagging to obtain a regulatory approval word set; The location data is processed for location compliance approval using the regulatory approval word set to obtain a location compliance approval result.

4. The intelligent review method for construction project drawings according to claim 1 is characterized in that: The spatial distance approval process of the spatial distance data by using the buffer analysis technology includes: Collecting the location spatial data of the target construction project through geographic data collection tools; Formulate a standard spatial distance data threshold for the target construction project based on the location spatial data and a preset design standard template; The spatial distance approval result is obtained by comparing the spatial distance data with the standard spatial distance data threshold.

5. The intelligent review method for construction project drawings according to claim 1 is characterized in that: Generating the audit information of the target construction project according to the data approval result includes: When the location conformity approval result, the spatial range approval result and the spatial distance approval result are all approved, the approval information of the target construction project is generated, and the target construction project is stored in a preset approved project library; When there is an approval failure among the location conformity approval result, the spatial scope approval result and the spatial distance approval result, review failure information for the target construction project is generated, and corresponding prompt information of failed data is generated.

6. The intelligent review method for construction project drawings according to claim 5 is characterized in that: When the location conformity approval result, the space range approval result and the space distance approval result are all approved, after generating the approval information of the target construction project and storing the target construction project in the preset approved project library, the method further includes: Extract approved projects from the preset approved project library; Verify the approved projects.

7. An intelligent review system for construction project drawings, characterized in that: The system comprises: A project type determination module, used to determine a type keyword of the target construction project according to a design drawing of the target construction project, thereby determining a project type of the target construction project according to the type keyword; The module for acquiring data to be approved is used to acquire data to be approved corresponding to the project type from the design drawing by semantic recognition technology according to a preset drawing data acquisition template; wherein the preset drawing data acquisition template includes the project type and entries of data to be approved corresponding to the project type; the data to be approved includes location data, spatial range data and spatial distance data; the project type is a highway in a river-related project; the entry of the location data includes the starting position of the highway and the position of the route passed; the entry of the spatial range data includes road paving range data; the entry of the spatial distance data includes height data; A data approval result acquisition module is used to perform location compliance approval processing on the location data through a preset location regulation approval template, perform spatial range approval processing on the spatial range data through an overlapping analysis technique, and perform spatial distance approval processing on the spatial distance data through a buffer analysis technique, and use the respectively obtained location compliance approval results, spatial range approval results, and spatial distance approval results as data approval results for the target construction project; wherein, the spatial range approval processing on the spatial range data through the overlapping analysis technique includes: performing layer overlap processing on the spatial range data in the form of a geographic layer with a pre-acquired geographic spatial planning layer to obtain an overlap result; wherein, the pre-acquired geographic spatial planning layer includes a protection level and a protection limit line corresponding to the protection level; based on the overlap result, a spatial range approval result is generated in accordance with the preset geographic spatial range approval rules; wherein, the preset geographic spatial range approval rules include overlap requirements for protection levels and protection limit lines corresponding to the protection levels; The audit information generation module is used to generate audit information for the target construction project according to the data approval result.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the steps of the intelligent review method for construction project drawings as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the intelligent review method for construction project drawings as described in any one of claims 1 to 6 is implemented.

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