CN115759037A - Intelligent auditing frame and auditing method for building construction scheme - Google Patents
Intelligent auditing frame and auditing method for building construction scheme Download PDFInfo
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Abstract
The invention relates to an intelligent auditing framework and an auditing method for a building construction scheme. The integrity analysis of the construction scheme to be audited is realized by analyzing the text keywords, the calculation formula symbols and the rich text information in the construction scheme to be audited and comparing the analyzed text keywords, the calculation formula symbols and the rich text information with the character information in the sensitive word bank and the knowledge map, and an excellent construction scheme is provided as a reference case to help technicians develop further modification and perfection of the construction scheme to be audited.
Description
Technical Field
The invention belongs to the field of building construction, and particularly relates to an intelligent auditing frame and an auditing method for a building construction scheme.
Background
The construction scheme is an implementation scheme of engineering projects and is a document material written by technicians of a construction enterprise in large quantities in daily life. Including organizational schemes, personnel composition schemes, technical schemes, security schemes, material supply schemes, computer books, and the like. Because the construction scheme directly guides the construction, the integrity and the accuracy of the construction scheme are related to the safety and the quality of engineering projects.
Generally, after a building construction scheme is written by field technicians, the building construction scheme is submitted to be checked and audited by technical management staff. The auditing work mainly comprises the steps of checking the completeness of the implementation scheme according to the key information, checking the accuracy of a calculation formula according to the key data information, comparing key elements of the scheme to perfect the content of the scheme and the like. The technical staff in the traditional auditing process has the problems of large workload, high repeatability and low efficiency, and how to further improve the working quality and shorten the working time is worth researching.
Disclosure of Invention
The invention aims to provide an intelligent auditing frame and an auditing method for a building construction scheme, wherein the frame carries out pre-auditing on the construction scheme by artificial intelligence instead of traditional technicians, so that the auditing efficiency and quality of the construction scheme are improved, and the workload of the technicians is reduced.
The invention is realized by the following technical scheme:
an intelligent auditing framework for a building construction scheme is characterized by comprising keyword analysis based on a natural language processing technology, information matching based on a deep semantic similarity model, calculation symbol identification based on an algorithm and rich text analysis;
the keyword analysis based on the natural language processing technology is used for analyzing and segmenting the construction scheme to be audited through the natural language processing technology to obtain all keywords in the construction scheme to be audited;
the calculation symbol identification based on the algorithm is used for accurately identifying the calculation formula symbol in the construction scheme to be audited through the algorithm;
the rich text analysis is used for extracting all rich text information required in various documents and generating a directory structure;
the information matching based on the deep semantic similarity model is used for establishing a sensitive word bank and a knowledge map based on relevant laws and regulations, standard specifications and other excellent construction schemes of the existing building, matching information in the sensitive word bank and the knowledge map with texts of the construction scheme to be checked through a presentation layer, a matching layer and an LSTM based on the deep semantic similarity model, completing the omission and filling of the construction scheme to be checked, and listing the omission items of the construction scheme to be checked in a list form.
In an embodiment of the present invention, the keyword parsing based on natural language processing technology includes: and performing lexical analysis, statement analysis, pragmatic analysis and context analysis on the construction scheme text to be audited by adopting a core semantic analysis technology of a natural language processing technology, so as to realize keyword analysis of the construction scheme text to be audited and prepare for keyword matching.
In an embodiment of the invention, said algorithm-based computed symbol recognition comprises: identifying the calculation formula symbols in the construction scheme to be checked through an image correction algorithm, a character detection algorithm, a character identification algorithm and a semantic correction algorithm so as to be matched with sensitive words in standard specifications, and further realizing the omission and filling of the calculation formula symbols
In an embodiment of the invention, the rich text parsing comprises: through Node analysis, table analysis, chart analysis and document structure detection, rich text analysis is carried out on all elements in the construction scheme text to be audited, a directory structure is formed so as to be matched with similar excellent schemes in a knowledge graph, and the similar excellent schemes obtained through matching can be used as writing reference cases of the construction scheme to be audited.
An intelligent building construction scheme auditing method based on the intelligent building construction scheme auditing framework comprises the following steps:
the method comprises the following steps of firstly, keyword analysis based on natural language processing technology, calculation symbol identification based on algorithm and rich text analysis, wherein the method comprises the following steps:
analyzing and segmenting the construction scheme to be audited by adopting the keyword analysis based on the natural language processing technology and the natural language processing technology to obtain all keywords in the construction scheme to be audited;
adopting the calculation symbol identification based on the algorithm to accurately identify the calculation formula symbol in the construction scheme to be audited through the algorithm;
adopting the rich text analysis to extract all the rich text information required in various documents and generate a directory structure;
and secondly, matching information based on the deep semantic similarity model, comprising the following steps:
establishing a sensitive word bank by collecting relevant laws and regulations, standard specifications and excellent construction schemes in the field of buildings;
forming a domain knowledge map by collecting domain expert knowledge and Internet domain resources;
matching the sensitive word stock, the knowledge graph and the text information of the construction scheme to be checked by adopting a presentation layer, a matching layer and an LSTM of a deep semantic similarity model;
thirdly, outputting a result file, comprising:
through sensitive word bank matching, leakage items of the construction scheme to be checked are output in a list mode, and technicians can conveniently check and supplement the leakage items;
and through knowledge map matching, in an excellent construction scheme content recommendation form, reference is provided for technical personnel to modify and perfect the construction scheme to be checked.
Compared with the prior art, the invention has the following beneficial effects:
1. key information in the construction scheme to be audited is quickly captured through analysis of the construction scheme to be audited keywords, the calculation formula symbols and the rich text information, and blindness of audit of the construction scheme is avoided;
2. the sensitive word bank and the knowledge map are established through artificial intelligence, so that laws, regulations, standard specifications and excellent construction schemes are quickly matched with the construction scheme to be checked, the checking speed of the integrity of the scheme to be checked is increased, and the excellent construction scheme which can be referred to is provided for technical staff;
3. by means of the auditing framework, the auditing workload of the scheme can be reduced by 90%, and the working efficiency and quality of technicians are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a diagram of an auditing step of an intelligent auditing framework for a building construction plan according to an embodiment of the present invention.
Detailed Description
Name interpretation:
NLP: natural Language Processing (NLP) is a discipline that studies the linguistic problems of human interaction with computers. According to different technical implementation difficulties, such systems can be divided into three types, namely simple matching type, fuzzy matching type and paragraph understanding type.
DSSM: deep Structured Semantic Models are based on a depth Semantic similarity model, and the principle of the DSSM is that a Query, a Title Query and a Title in a search engine are expressed into low latitude Semantic vectors by using DNN, the distance between the two Semantic vectors is calculated through cosine distance, and the Semantic similarity model is trained finally. The model can be used for predicting the semantic similarity of two sentences and obtaining the low latitude semantic vector expression of a certain sentence. The DSSM may be divided into three layers from bottom to top: input layer, presentation layer, matching layer.
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, and is not intended to limit the present invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention provides an intelligent checking frame for a building construction scheme, which is characterized in that after receiving the construction scheme, the frame finally outputs a preprocessed result text through parallel operation of a plurality of processing components such as element extraction, element checking, expert suggestion and the like. The frame preprocesses the construction scheme through artificial intelligence, reduces a large amount of repetitive labor of technicians, further improves the auditing efficiency and quality of the construction scheme, and reduces labor cost.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent auditing framework for a building construction scheme comprises keyword analysis based on Natural Language Processing (NLP), information matching based on a Deep Semantic Similarity Model (DSSM), calculation symbol identification based on an algorithm and rich text analysis. The keyword resolution based on Natural Language Processing (NLP) is characterized in that: adopting a core semantic analysis technology of a natural language processing technology to carry out lexical analysis, statement analysis, pragmatic analysis and context analysis of the construction scheme text to be audited, realizing keyword analysis of the construction scheme text to be audited and preparing for keyword matching; the Deep Semantic Similarity Model (DSSM) -based information matching is characterized by: establishing a sensitive word bank and a knowledge graph based on relevant laws and regulations, standard specifications and other excellent construction schemes of the existing building, matching information in the sensitive word bank and the knowledge graph with texts of the construction scheme to be checked through a presentation layer, a matching layer and an LSTM in the DSSM to complete the missing and filling of the construction scheme to be checked, and listing missing items of the construction scheme to be checked in a list form; the algorithm-based computed symbol recognition is characterized by: identifying the calculation formula symbols in the construction scheme to be audited through an image correction algorithm, a character detection algorithm, a character identification algorithm and a semantic correction algorithm so as to be matched with sensitive words in a standard specification, and further realizing the omission and filling of the calculation formula symbols; the rich text parsing is characterized by: through Node analysis, table analysis, chart analysis and document structure detection, rich text analysis is carried out on elements such as directories, titles, paragraphs, headers, footers, tables and pictures in a construction scheme text to be audited, a directory structure is formed so as to be matched with similar excellent schemes in a knowledge graph, and the similar excellent schemes obtained through matching can be used as writing reference cases of the construction scheme to be audited.
The working principle of the intelligent auditing framework of the building construction scheme is as follows: through analyzing text keywords, calculation formula symbols and rich text information in the construction scheme to be audited and comparing the text keywords, the calculation formula symbols and the rich text information with character information in a sensitive word bank and a knowledge map, the integrity analysis of the construction scheme to be audited is realized, an excellent construction scheme is provided as a reference case, and technicians are helped to develop further modification and perfection of the construction scheme to be audited.
Referring to fig. 1, the checking step of the intelligent checking framework based on the building construction scheme of the invention comprises the following steps:
(1) The intelligent auditing framework comprises a first step of keyword analysis based on natural language processing technology (NLP), calculation symbol identification based on algorithm and rich text analysis:
1) The keyword analysis based on Natural Language Processing (NLP) aims to analyze and segment a construction scheme to be audited through the Natural Language Processing (NLP) technology, and all keywords in the construction scheme to be audited are obtained. The core of the natural language processing technology is a semantic analysis technology, which comprises lexical analysis, syntactic analysis, pragmatic analysis and contextual analysis, so that the analysis on the grammatical level of the lexical analysis and the syntactic analysis is realized, and the meaning analysis contained in words, phrases, sentences and paragraphs is also completed;
2) The calculation symbol identification based on the algorithm aims at accurately identifying the calculation formula symbol in the construction scheme to be audited through the algorithm. The algorithm mainly comprises an image correction algorithm, a character detection algorithm, a character recognition algorithm and a semantic correction algorithm, realizes the conversion of symbolic pictures into computer character sequences and prepares for the next matching;
3) Rich text parsing is intended to extract all rich text information required in various documents such as PDF and WORD, and to generate a directory structure. The rich text analysis mainly adopts NODE analysis, table analysis, chart analysis and document structure detection, and analyzes all elements including directories, titles, paragraphs, headers and footers, tables, pictures and the like to form a directory structure.
(2) The second step of the intelligent auditing framework is information matching based on a Deep Semantic Similarity Model (DSSM):
1) Establishing a sensitive word bank by acquiring relevant laws, regulations, standard specifications and excellent construction schemes in the building field;
2) Forming a domain knowledge map by collecting domain expert knowledge and Internet domain resources;
3) And matching the sensitive word stock, the knowledge graph and the text information of the construction scheme to be audited by adopting a presentation layer and a matching layer of the deep semantic similarity model DSSM and a DSSM model of the LSTM.
(3) The third step of the intelligent auditing framework is to output a result file:
1) Leakage items of the construction scheme to be checked are output in a list mode through sensitive word bank matching, so that technicians can conveniently check and supplement the leakage items;
2) And through knowledge map matching, in an excellent construction scheme content recommendation form, reference is provided for technical personnel to modify and perfect the construction scheme to be checked.
Compared with the prior art, the invention has the following advantages:
1. key information in the construction scheme to be audited is quickly captured through analysis of the construction scheme to be audited keywords, the calculation formula symbols and the rich text information, and blindness of audit of the construction scheme is avoided;
2. the sensitive word stock and the knowledge map are established through artificial intelligence, so that laws and regulations, standard specifications and the excellent construction scheme are quickly matched with the construction scheme to be checked, the integrity checking speed of the scheme to be checked is improved, and the reference excellent construction scheme is provided for technical personnel;
3. by means of the auditing framework, the auditing workload of the scheme can be reduced by 90%, and the working efficiency and quality of technicians are improved.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in the embodiments without departing from the principles and spirit of the invention, and these embodiments are still within the scope of the invention.
From the foregoing it will be seen that this invention is one well adapted to attain all the ends and objects set forth above, together with other advantages which are obvious and which are inherent to the structure. It will be understood that certain features and subcombinations are of utility and may be employed without reference to other features and subcombinations. This is within the scope of the invention.
Claims (5)
1. An intelligent auditing framework for a building construction scheme is characterized by comprising keyword analysis based on a natural language processing technology, information matching based on a deep semantic similarity model, calculation symbol identification based on an algorithm and rich text analysis;
the keyword analysis based on the natural language processing technology is used for analyzing and segmenting the construction scheme to be audited through the natural language processing technology to obtain all keywords in the construction scheme to be audited;
the calculation symbol identification based on the algorithm is used for accurately identifying the calculation formula symbol in the construction scheme to be audited through the algorithm;
the rich text analysis is used for extracting all rich text information required in various documents and generating a directory structure;
the information matching based on the deep semantic similarity model is used for establishing a sensitive word bank and a knowledge map based on the relevant laws and regulations, standard specifications and other excellent construction schemes of the existing building, matching the information in the sensitive word bank and the knowledge map with the text of the construction scheme to be checked through a presentation layer, a matching layer and an LSTM based on the deep semantic similarity model, completing the missing and filling of the construction scheme to be checked, and listing the missing and writing items of the construction scheme to be checked in a list form.
2. The intelligent building construction plan review framework of claim 1, wherein the keyword parsing based on natural language processing techniques comprises: and performing lexical analysis, statement analysis, pragmatic analysis and context analysis on the construction scheme text to be audited by adopting a core semantic analysis technology of a natural language processing technology, realizing keyword analysis on the construction scheme text to be audited, and preparing for keyword matching.
3. The building construction scheme intelligent audit framework of claim 1 wherein the algorithm based computational symbol identification includes: and identifying the calculation formula symbols in the construction scheme to be checked through an image correction algorithm, a character detection algorithm, a character identification algorithm and a semantic correction algorithm so as to be matched with sensitive words in the standard specification, and further realizing the omission and filling of the calculation formula symbols.
4. The building construction plan intelligent audit framework of claim 1, wherein the rich text parsing comprises: through Node analysis, table analysis, chart analysis and document structure detection, rich text analysis is carried out on all elements in the construction scheme text to be audited, a directory structure is formed so as to be matched with similar excellent schemes in a knowledge graph, and the similar excellent schemes obtained through matching can be used as writing reference cases of the construction scheme to be audited.
5. An intelligent auditing method for construction scheme based on the intelligent auditing framework for construction scheme of any one of claims 1 to 4, comprising the steps of:
the method comprises the following steps of firstly, keyword analysis based on natural language processing technology, calculation symbol identification based on algorithm and rich text analysis, wherein the method comprises the following steps:
analyzing and segmenting the construction scheme to be audited through the natural language processing technology by adopting the keyword analysis based on the natural language processing technology to obtain all keywords in the construction scheme to be audited;
adopting the calculation symbol identification based on the algorithm to accurately identify the calculation formula symbol in the construction scheme to be audited through the algorithm;
adopting the rich text analysis to extract all the rich text information required in various documents and generating a directory structure;
and secondly, matching information based on the deep semantic similarity model, including:
establishing a sensitive word bank by acquiring relevant laws, regulations, standard specifications and excellent construction schemes in the building field;
forming a domain knowledge map by collecting domain expert knowledge and Internet domain resources;
matching the sensitive word bank, the knowledge graph and the text information of the construction scheme to be checked by adopting an expression layer, a matching layer and an LSTM of a depth semantic similarity model;
thirdly, outputting a result file, comprising:
through sensitive word bank matching, leakage items of the construction scheme to be checked are output in a list mode, and technicians can conveniently check and supplement the leakage items;
and through knowledge map matching, in an excellent construction scheme content recommendation form, reference is provided for technical personnel to modify and perfect the construction scheme to be checked.
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