Intelligent reference system and method for standard provisions and description information of building construction scheme

By applying intelligent citation systems with natural language processing and machine learning technology in the field of construction, the efficiency and accuracy of citation and integration of standardized articles in construction plans are solved, and the efficiency, accuracy and timeliness compliance of construction plans are achieved.

CN119537566APending Publication Date: 2025-02-28SHANGHAI CONSTRUCTION FOURTH CONSTRUCTION GROUP CO LTD
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Patent Information

Application Number
CN202411578441.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-07
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

In the field of construction, it is difficult for the prior art to efficiently and accurately refer to and integrate the normative provisions and explanatory information in the construction plan, resulting in time-consuming, labor-consuming and error-prone problems in the formulation and implementation of the construction plan.

Method used

An intelligent citation system based on natural language processing and machine learning technology is adopted, including a solution content recognition system, a standardized clause matching system and a clause description citation system, and an automated process to realize the automatic citation of standardized clauses and the automatic generation and integration of clause descriptions.

Benefits of technology

It significantly improves the efficiency and accuracy of the formulation of construction plans, reduces manual errors, ensures that the construction plans comply with the latest specifications and standards, and improves the timeliness and compliance of the construction process.

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Abstract

The invention relates to an intelligent reference system and method for standard clauses and description information of a building construction scheme. The system comprises a scheme content recognition system, a standard clause matching system and a clause description reference system. The scheme content identification system comprises a scheme preprocessing module and a document feature extraction module; the standard provision matching system comprises a standard database creation module, a standard provision retrieval module and a standard provision understanding module. The provision description reference system comprises a provision description summary module and a specification and description reference module. The method comprises the following steps: firstly, carrying out pretreatment and feature extraction on a construction scheme; secondly, matching related standard terms by utilizing a machine learning algorithm, and constructing a knowledge graph to optimize matching; and finally, generating a standard reference and a provision description, and ensuring that the construction scheme can accurately point to related standard provisions. According to the method, the automatic reference of the standard clauses and the automatic generation and integration of the clause description are realized, and the working efficiency and the accuracy are remarkably improved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of building construction, and in particular relates to a system and method for intelligently quoting standard clauses and explanatory information of a building construction plan. Background Art

[0002] In the field of construction, specifications and standards are the cornerstone of the formulation and implementation of construction plans, and construction plans are specific implementation plans required by specifications and standards. Construction plans must follow the current national and local building codes to ensure the safety, compliance and quality of the project. On the one hand, in order to ensure the consistency of the construction plan with the specifications, the project team needs to conduct detailed reference work on the specifications. This includes clearly marking the corresponding specifications next to each key point of the construction plan, such as construction methods, material specifications, safety measures, etc., and automatically generating a brief description of the specifications based on the specific content of the plan. On the other hand, with the development of technology and the continuous updating of standards and specifications, the project team must ensure that the plan meets the latest specifications when formulating the construction plan. Due to the large number of specifications and frequent updates, manual completion of this work is not only time-consuming and labor-intensive, but also prone to errors.

[0003] Therefore, how to provide a system and method for intelligently referencing the specification clauses and explanatory information of a building construction plan is a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0004] In response to the problems existing in the traditional scheme preparation work that relies on manual operation and experience judgment, the present invention proposes a system and method for intelligent reference of standard clauses and explanatory information of building construction schemes. Based on natural language processing and machine learning technology, intelligent algorithms such as content recognition, standard matching, and clause description generation are developed to establish a new intelligent reference system for standard clauses and explanatory information of construction schemes, which realizes automatic reference of standard clauses and automatic generation and integration of clause descriptions, and significantly improves work efficiency and accuracy.

[0005] In order to solve the above technical problems, the present invention includes the following technical solutions:

[0006] An intelligent reference system for specification clauses and description information of a building construction plan, comprising:

[0007] A scheme content recognition system, the scheme content recognition system includes a scheme preprocessing module and a document feature extraction module, the scheme preprocessing module is used to develop a batch conversion algorithm, convert the construction scheme into a text format that is easy to analyze, remove all irrelevant formats and symbols through cleaning work, and perform word segmentation processing to identify individual words in the Chinese text, while removing common stop words, and output the preprocessed text to the feature extraction module; the document feature extraction module uses natural language processing technology to scan the preprocessed text to identify and extract key words, terms and phrases, and converts key information into a numerical feature vector through the feature extraction technology TF-IDF to represent the semantic information in the text;

[0008] A specification clause matching system, the specification clause matching system includes a specification database creation module, a specification clause retrieval module and a specification clause understanding module. The specification database creation module is used to build a database containing all relevant building specifications and standards, and perform specification preprocessing to extract feature vectors; the specification clause retrieval module finds matching specification basis for each key part of the construction plan; the specification clause understanding module is used to build a knowledge graph, associate key concepts and entities extracted from the specification clauses, and form a specification knowledge network, so that the system can better understand and reason, and optimize the matching between the construction plan content and the specification clauses;

[0009] A clause description citation system, which includes a clause description summary module and a specification and description citation module. The clause description summary module is used to extract key information from the matched specification clauses and generate concise and clear clause descriptions using text summary technology so that technical personnel can quickly understand the core content of each specification clause; the specification and description citation module generates specification references based on the matching results by automatically filling in predefined reference templates to ensure that the construction plan can accurately point to the relevant specification clauses and clause descriptions.

[0010] Furthermore, the specification clause retrieval module uses a machine learning algorithm to compare the feature vector of the construction plan with the feature vector in the specification database to find the most relevant specification clause.

[0011] Furthermore, the machine learning algorithm includes a support vector machine (SVM) algorithm.

[0012] Furthermore, the text format is txt format.

[0013] The present invention also provides a construction plan intelligent typesetting method, the method comprising:

[0014] Step S1, using the intelligent reference system of the specification clauses and description information of the building construction plan;

[0015] Step S2, preprocessing and feature extraction of the construction plan;

[0016] Step S3: Use machine learning algorithms to match relevant regulatory provisions and construct a knowledge graph to optimize the matching;

[0017] Step S4: Generate specification references and clause descriptions to ensure that the construction plan can accurately point to relevant specification clauses, thereby completing the intelligent reference of specification clauses and description information of the construction plan.

[0018] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0019] The present invention provides an intelligent reference system and method for specification clauses and explanation information of a building construction plan based on artificial intelligence, the system includes a plan content recognition system, a specification clause matching system, and a clause explanation reference system; the plan content recognition system includes two modules, a plan preprocessing module and a document feature extraction module; the specification clause matching system includes three modules, a specification database creation module, a specification clause retrieval module, and a specification clause understanding module; the clause explanation reference system includes two modules, a clause explanation summary module, and a specification and explanation reference module. The plan content recognition system is mainly responsible for cleaning work such as word segmentation of the construction plan document, and extracting key words and phrases of the plan; the specification clause matching system is mainly responsible for matching the key information in the construction plan with the clauses in the specification database; the clause explanation reference system is mainly responsible for automatically filling in the predefined reference template according to the matching results, and generating concise and clear clause explanations in combination with the plan content. This method first preprocesses and extracts features from the construction plan; then, it uses a machine learning algorithm to match relevant regulatory clauses and builds a knowledge graph to optimize the match; finally, it generates regulatory references and clause descriptions to ensure that the construction plan can accurately point to relevant regulatory clauses, thereby completing the intelligent reference of regulatory clauses and explanatory information of the construction plan.

[0020] Compared with the traditional manual typesetting method, the beneficial effects of the present invention are mainly as follows:

[0021] (1) Efficiency improvement: The intelligent citation system significantly improves work efficiency through automated processes.

[0022] (2) Quality enhancement: Precise algorithm matching and feature extraction technology ensure the accuracy and reliability of the solution, thereby improving the quality of the solution.

[0023] (3) Specification Update: The system has a real-time update function and always uses the latest version of the specification to ensure the timeliness and compliance of the construction plan.

[0024] (4) Clause summary: Intelligently generated clause descriptions are directly related to the construction plan, making it easier for users to quickly grasp the key points of the specification and improving the efficiency of understanding the specification.

[0025] (5) Easy to understand: The specification references and explanation information output by the system are concise and clear, which helps the construction team better understand the specification requirements and reduces the difficulty of understanding. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic diagram of an intelligent reference system for specification clauses and explanatory information of a building construction plan according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following is a further detailed description of a system and method for intelligently quoting specification clauses and description information of a building construction plan provided by the present invention in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more apparent from the following description.

[0028] Embodiment 1

[0029] Combine the following Figure 1 , which describes in detail the intelligent reference system of the specification clauses and explanatory information of the building construction plan of the present invention.

[0030] An intelligent reference system for specification clauses and description information of a building construction plan, comprising:

[0031] A scheme content recognition system, the scheme content recognition system includes a scheme preprocessing module and a document feature extraction module, the scheme preprocessing module is used to develop a batch conversion algorithm, convert the construction scheme into a text format that is easy to analyze, remove all irrelevant formats and symbols through cleaning work, and perform word segmentation processing to identify individual words in the Chinese text, while removing common stop words, and output the preprocessed text to the feature extraction module; the document feature extraction module uses natural language processing technology to scan the preprocessed text to identify and extract key words, terms and phrases, and converts key information into a numerical feature vector through the feature extraction technology TF-IDF to represent the semantic information in the text;

[0032] A specification clause matching system, the specification clause matching system includes a specification database creation module, a specification clause retrieval module and a specification clause understanding module. The specification database creation module is used to build a database containing all relevant building specifications and standards, and perform specification preprocessing to extract feature vectors; the specification clause retrieval module finds matching specification basis for each key part of the construction plan; the specification clause understanding module is used to build a knowledge graph, associate key concepts and entities extracted from the specification clauses, and form a specification knowledge network, so that the system can better understand and reason, and optimize the matching between the construction plan content and the specification clauses;

[0033] A clause description citation system, which includes a clause description summary module and a specification and description citation module. The clause description summary module is used to extract key information from the matched specification clauses and generate concise and clear clause descriptions using text summary technology so that technical personnel can quickly understand the core content of each specification clause; the specification and description citation module generates specification references based on the matching results by automatically filling in predefined reference templates to ensure that the construction plan can accurately point to the relevant specification clauses and clause descriptions.

[0034] In this embodiment, more preferably, the specification clause retrieval module uses a machine learning algorithm to compare the feature vector of the construction plan with the feature vector in the specification database to find the most relevant specification clause.

[0035] In this embodiment, more preferably, the machine learning algorithm includes a support vector machine (SVM) algorithm.

[0036] In this embodiment, more preferably, the text format is txt format.

[0037] Please continue to refer to Figure 1 The present invention also provides a construction plan intelligent typesetting method, the method comprising:

[0038] Step S1, using the intelligent reference system of the specification clauses and description information of the building construction plan;

[0039] Step S2, preprocessing and feature extraction of the construction plan;

[0040] Step S3: Use machine learning algorithms to match relevant regulatory provisions and construct a knowledge graph to optimize the matching;

[0041] Step S4: Generate specification references and clause descriptions to ensure that the construction plan can accurately point to relevant specification clauses, thereby completing the intelligent reference of specification clauses and description information of the construction plan.

[0042] In summary, the present invention proposes an intelligent reference system for specification clauses and explanatory information of a construction plan. First, the construction plan is preprocessed and features are extracted; then, a machine learning algorithm is used to match relevant specification clauses, and a knowledge graph is constructed to optimize the match; finally, specification references and clause descriptions are generated to ensure that the construction plan can accurately point to the relevant specification clauses, thereby completing the intelligent reference of the specification clauses and explanatory information of the construction plan.

[0043] The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. The above embodiments only express several embodiments of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent reference system for specification clauses and explanatory information of a building construction plan, characterized in that: include: A scheme content recognition system, the scheme content recognition system includes a scheme preprocessing module and a document feature extraction module, the scheme preprocessing module is used to develop a batch conversion algorithm, convert the construction scheme into a text format that is easy to analyze, remove all irrelevant formats and symbols through cleaning work, and perform word segmentation processing to identify individual words in the Chinese text, while removing common stop words, and output the preprocessed text to the feature extraction module; the document feature extraction module uses natural language processing technology to scan the preprocessed text to identify and extract key words, terms and phrases, and converts key information into a numerical feature vector through the feature extraction technology TF-IDF to represent the semantic information in the text; A specification clause matching system, the specification clause matching system includes a specification database creation module, a specification clause retrieval module and a specification clause understanding module. The specification database creation module is used to build a database containing all relevant building specifications and standards, and perform specification preprocessing to extract feature vectors; the specification clause retrieval module finds matching specification basis for each key part of the construction plan; the specification clause understanding module is used to build a knowledge graph, associate key concepts and entities extracted from the specification clauses, and form a specification knowledge network, so that the system can better understand and reason, and optimize the matching between the construction plan content and the specification clauses; A clause description citation system, which includes a clause description summary module and a specification and description citation module. The clause description summary module is used to extract key information from the matched specification clauses and generate concise and clear clause descriptions using text summary technology so that technical personnel can quickly understand the core content of each specification clause; the specification and description citation module generates specification references based on the matching results by automatically filling in predefined reference templates to ensure that the construction plan can accurately point to the relevant specification clauses and clause descriptions.

2. The intelligent reference system for specification clauses and description information of a building construction plan according to claim 1 is characterized in that: The specification clause retrieval module uses a machine learning algorithm to compare the feature vector of the construction plan with the feature vector in the specification database to find the most relevant specification clause.

3. The intelligent reference system for specification clauses and description information of a building construction plan according to claim 2 is characterized in that: The machine learning algorithm includes a support vector machine (SVM) algorithm.

4. The intelligent reference system for specification clauses and description information of a building construction plan according to claim 1 is characterized in that: The text format is txt format.

5. A construction plan intelligent typesetting method, characterized in that: include: Step S1, using the intelligent reference system for the specification clauses and description information of the building construction plan according to any one of claims 1 to 4; Step S2, preprocessing and feature extraction of the construction plan; Step S3: Use machine learning algorithms to match relevant regulatory provisions and construct a knowledge graph to optimize the matching; Step S4: Generate specification references and clause descriptions to ensure that the construction plan can accurately point to relevant specification clauses, thereby completing the intelligent reference of specification clauses and description information of the construction plan.

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