CN114491051B - Project approval system for building site - Google Patents
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- CN114491051B CN114491051B CN202210340141.2A CN202210340141A CN114491051B CN 114491051 B CN114491051 B CN 114491051B CN 202210340141 A CN202210340141 A CN 202210340141A CN 114491051 B CN114491051 B CN 114491051B
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- 238000000034 method Methods 0.000 claims description 14
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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Abstract
The invention discloses a system for examining and approving a ground project for a building, which comprises: the system comprises a communication consultation subsystem, a construction site project data uploading subsystem, a construction site project data classification subsystem, a construction site project data examination and approval subsystem, a construction site location subsystem, a construction site database subsystem and an autonomous retrieval subsystem; the invention solves the problems that the prior construction land project approval system does not classify construction land project data, so that the approval speed is low, a free communication window is not set, the condition of preparing data by an investor is unclear, the autonomous retrieval function is lacked, and the corresponding construction land data can not be obtained according to requirements.
Description
Technical Field
The invention relates to an approval system, in particular to a construction site project approval system.
Background
Along with the development of cities and the progress of society, the management of construction engineering projects becomes more and more necessary, and the construction land project approval system needs to realize the standardized management and the rapid management of construction land project data, thereby facilitating the work of government departments and the work of investors.
At present, although the project approval system for the building land also uploads project data of various building lands to the system, the system is not convenient enough, the automation degree is not enough, the information sharing is incomplete, the work of a sponsor and a government department is not convenient, and the specific problems are as follows: 1. the construction land project data are not classified, so that the approval speed is low; 2. a free communication window is not arranged, so that the condition of preparing data by an investor is not clear; 3. the self-help retrieval function is lacked, and the corresponding building land data can not be obtained according to the requirement.
Disclosure of Invention
Aiming at the defects in the prior art, the construction land project approval system provided by the invention solves the following problems:
1. the construction land project data are not classified, so that the approval speed is low;
2. a free communication window is not arranged, so that the condition of preparing data by an investor is not clear;
3. the self-help retrieval function is lacked, and the corresponding building land data can not be obtained according to the requirement.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a construction floor project approval system, comprising: the system comprises a communication consultation subsystem, a construction site project data uploading subsystem, a construction site project data classification subsystem, a construction site project data examination and approval subsystem, a construction site location subsystem, a construction site database subsystem and an autonomous retrieval subsystem;
The communication consultation subsystem is used for project communication of the construction land; the building site project data uploading subsystem is used for uploading building site project data; the construction land project data classification subsystem is used for classifying the uploaded construction land project data; the construction land project data approval subsystem is used for approving the classified construction land project data; the construction site location subsystem is used for calling construction site data matched with the construction site project data in the construction site database subsystem; and the autonomous retrieval subsystem is used for calling the construction land data in the construction land database subsystem according to user retrieval.
Further, the communication consultation subsystem comprises: a fixed question unit and a flexible question unit;
the fixed question unit is used for listing the fixed questions in a communication window and obtaining the answers of the fixed questions by selecting the listed fixed questions; the flexible question unit is used for answering according to characters input to the communication window by the user.
The beneficial effects of the above further scheme are: the problems with high attention frequency are set as fixed question sentences listed in a communication window, so that most users can quickly find out answers corresponding to the problems with high attention frequency, and the problems with low attention frequency and deep level are solved through a flexible question sentence unit.
Further, the flexible question unit includes: a question keyword extraction module and a reply matching module;
the question keyword extraction module is used for extracting keywords from characters input into a communication window by a user to obtain communication keywords; the answer matching module is used for searching an answer database according to the communication keywords and listing suspected answers.
Further, the method for processing the characters by the flexible question unit comprises the following steps:
a1, removing connection words, punctuation marks and subject words from the characters input into the communication window by the user to obtain a plurality of communication keywords which can be used as nouns;
a2, vectorizing a plurality of communication keywords which can be used independently as nouns to obtain a plurality of keyword and word vectors;
a3, matching a plurality of keyword vectors with answers in an answer database, and screening to obtain all answers carrying the keyword vectors;
a4, calculating the matching rate of a plurality of keyword vectors and answers carrying the keyword vectors;
and A5, displaying the answers with high matching rate and the keyword word vectors in a communication window.
Further, step a4 calculates the matching rate of the keyword vectors and the answers carrying the keyword vectors according to the formula:
Wherein the content of the first and second substances,
for all answers carrying keyword-word vectors
The matching rate of the bar responses is,
is as follows
The number of times a keyword appears in the user-input text,
is as follows
First in a sentence reply
The number of times that an individual keyword occurs,
the number of categories of the keyword word vectors,
the maximum of matches in all answers carrying keyword word vectors.
The beneficial effects of the above further scheme are: the more times of occurrence of the keywords in the question input by the user, the higher the attention degree of the user, the more times of occurrence of the keywords in the answer, the more the answer meets the requirements of the user, therefore, when the matching rate is calculated, the times of occurrence of the keywords in the question input by the user and the times of occurrence of the keywords in the corresponding answer are simultaneously considered, so that the answer found by the system is more in line with the requirements of the user, and the invention is characterized in that the weighted summation of the times of occurrence of all the keywords in the answer and the times of occurrence of the keywords in the question, comprehensively considers the influence of each keyword, and ensures that the obtained matching rate has higher precision.
Further, the construction site project data approval subsystem comprises: the device comprises a data quantity approval unit, a data title approval unit, a data format approval unit and a repeated approval fresh seal approval unit;
The data quantity approval unit is used for approving the quantity of the files contained in the construction site project data; the data title approval unit is used for approving the titles of the files contained in the construction site project data; the data format approval unit is used for approving whether the format of the file contained in the construction site project data is standard or not; the examination and approval unit for examining and approving the fresh seal of the file contained in the construction site project data is used for examining and approving whether the fresh seal meets the regulations.
The beneficial effects of the above further scheme are: the system preliminarily examines and approves project data of the construction land, and the task of subsequent workers is reduced.
Further, the method for classifying the construction site project data by the construction site project data classification subsystem comprises the following steps:
b1, extracting character features in the historical construction site project data, and constructing a training sample;
b2, calculating the frequency of each category in the training sample;
b3, calculating the probability of the construction land project data to be classified belonging to each category land according to the frequency of each category in the training sample;
and B4, screening the land category corresponding to the highest probability as the category of the construction land item data to be classified.
Further, the formula for calculating the frequency of each class in the training sample in step B2 is:
wherein, the first and the second end of the pipe are connected with each other,
for the frequency of the land of the commercial use,
is the frequency of the residential land and is,
frequency of industrial use.
Further, the probability that the project data of the construction land to be classified belongs to the business land in the step B3
：
Probability that construction land project data to be classified belong to residential land
：
Probability that construction land project data to be classified belong to industrial land
：
Wherein the content of the first and second substances,
for the character features in the historical construction site project data
The probability of belonging to a place of business,
、
、…、
used for representing different types of character features in historical construction site project data,
for the character features in the historical construction site project data
The probability of belonging to the residential land,
for the character features in the historical construction site project data
The probability of belonging to an industrial field,
for the frequency of the land of the commercial use,
to live inThe frequency of the home-use site is,
frequency of industrial use.
The beneficial effects of the above further scheme are: the characters in the construction land project data contain semantic information, so the construction land project data can be classified through the characters in the construction land project data, the probability of each category is obtained through sample training, and the probability of the construction land project data to be classified belonging to each category of land can be directly calculated through the probability of each category.
Furthermore, the autonomous retrieval subsystem is used for retrieving the construction site database subsystem through a retrieval sentence input by a user, and the retrieval method comprises the following steps:
c1, vectorizing the search sentence to obtain a search sentence vector;
c2, calculating the matching degree of the search sentence vector and the construction land data in the construction land database subsystem;
c3, sequentially displaying the construction site data in the construction site database subsystem from high to low according to the matching degree;
c4, recalculating new matching degree again according to the construction land data clicked by the user;
c5, according to the new matching degree, rearranging the construction land data in the construction land database subsystem, and jumping to the step C4 until the user finds the required construction land data.
The beneficial effects of the above further scheme are: the retrieval method updates the matching degree according to the clicking preference of the user, and the system can continuously update the matching degree in the continuous clicking of the user, so as to recommend the construction land data required by the user.
In conclusion, the beneficial effects of the invention are as follows:
1. the invention designs a construction land project data classification subsystem, which accelerates the subsequent approval process by classifying the construction land project data.
2. The invention designs a communication consultation subsystem, which is convenient for users to communicate and acquire more detailed process information.
3. The invention designs the autonomous retrieval subsystem which has learning capacity and can grope the user requirements according to the click condition of the user.
Drawings
FIG. 1 is a system block diagram of an approval system for a construction site project.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, a system for approval of a project on a construction site includes: the system comprises a communication consultation subsystem, a construction site project data uploading subsystem, a construction site project data classification subsystem, a construction site project data examination and approval subsystem, a construction site location subsystem, a construction site database subsystem and an autonomous retrieval subsystem;
The communication consultation subsystem is used for project communication of the construction land; the construction site project data uploading subsystem is used for uploading construction site project data; the construction land project data classification subsystem is used for classifying the uploaded construction land project data; the construction land project data approval subsystem is used for approving the classified construction land project data; the construction site location subsystem is used for calling construction site data matched with the construction site project data in the construction site database subsystem; and the autonomous retrieval subsystem is used for calling the construction land data in the construction land database subsystem according to user retrieval.
The communication consultation subsystem comprises: a fixed question unit and a flexible question unit;
the fixed question unit is used for listing the fixed questions in a communication window and obtaining the answers of the fixed questions by selecting the listed fixed questions; the flexible question unit is used for answering according to characters input to the communication window by the user.
The flexible question unit comprises: a question keyword extraction module and a reply matching module;
the question keyword extraction module is used for extracting keywords from characters input into a communication window by a user to obtain communication keywords; the answer matching module is used for searching an answer database according to the communication keywords and listing suspected answers.
The method for processing the characters by the flexible question unit comprises the following steps:
a1, removing connection words, punctuation marks and subject words from the characters input into the communication window by the user to obtain a plurality of communication keywords which can be used as nouns;
a2, vectorizing a plurality of communication keywords which can be used independently as nouns to obtain a plurality of keyword and word vectors;
a3, matching a plurality of keyword vectors with answers in an answer database, and screening to obtain all answers carrying the keyword vectors;
a4, calculating the matching rate of a plurality of keyword vectors and answers carrying the keyword vectors;
step a4 is to calculate the matching rate of the keyword vectors and the answers with the keyword vectors by the following formula:
wherein the content of the first and second substances,
for all answers carrying keyword-word vectors
The matching rate of the bar responses is,
is as follows
The number of times a keyword appears in the user-input text,
is as follows
First in a sentence reply
The number of times that an individual keyword occurs,
the number of categories of the keyword word vectors,
the maximum of matches in all answers carrying keyword word vectors.
And A5, displaying the answers with high matching rate and the keyword word vectors in a communication window.
The construction site project data approval subsystem comprises: the device comprises a data quantity approval unit, a data title approval unit, a data format approval unit and a repeated approval fresh seal approval unit;
the data quantity approval unit is used for approving the quantity of the files contained in the construction site project data; the data title approval unit is used for approving the titles of the files contained in the construction site project data; the data format approval unit is used for approving whether the format of the file contained in the construction site project data is standard or not; the examination and approval unit for examining and approving the fresh seal of the file contained in the construction site project data is used for examining and approving whether the fresh seal meets the regulations.
The method for classifying the construction site project data by the construction site project data classification subsystem comprises the following steps:
b1, extracting character features in the historical construction site project data, and constructing a training sample;
b2, calculating the frequency of each category in the training sample;
the formula for calculating the frequency of each class in the training sample in step B2 is:
wherein the content of the first and second substances,
for the frequency of the land of the commercial use,
the frequency of the residential land is the frequency of the residential land,
frequency of industrial use.
B3, calculating the probability of the construction land project data to be classified belonging to each category land according to the frequency of each category in the training sample;
The probability that the project data of the construction land to be classified in the step B3 belongs to the business land
：
Probability that construction land project data to be classified belong to residential land
：
Probability that construction land project data to be classified belong to industrial land
：
Wherein the content of the first and second substances,
for the character features in the historical construction site project data
The probability of belonging to a place of business,
、
、…、
used for representing different types of character features in historical construction site project data,
for the character features in the historical construction site project data
The probability of belonging to the residential land,
for the character features in the historical construction site project data
The probability of belonging to an industrial field,
for the frequency of the land of the commercial use,
the frequency of the residential land is the frequency of the residential land,
frequency of industrial use.
And B4, screening the land category corresponding to the highest probability as the category of the construction land item data to be classified.
The autonomous retrieval subsystem is used for retrieving the building site database subsystem through retrieval sentences input by a user, and the retrieval method comprises the following steps:
c1, vectorizing the search sentence to obtain a search sentence vector;
c2, calculating the matching degree of the search sentence vector and the construction land data in the construction land database subsystem;
c3, sequentially displaying the construction site data in the construction site database subsystem from high to low according to the matching degree;
C4, recalculating new matching degree again according to the construction land data clicked by the user;
the formula for calculating the new matching degree in step C4 is:
wherein, the first and the second end of the pipe are connected with each other,
for the user to
The degree of match calculated at the time of the sub-click,
，
for the vector of search sentences entered by the user,
to retrieve a word vector in a sentence vector,
，
is prepared by reacting with
The text vector corresponding to the building location data being matched,
is composed of
The vector of the word in (1) is,
，
the text vector corresponding to the construction location data of the 1 st click,
is composed of
The vector of the Chinese word is a vector of the Chinese word,
，
is a text vector corresponding to the 1 st clicked construction land data
The text vector corresponding to the building location data being matched,
is composed of
The vector of the word in (1) is,
，
is as follows
The text vector corresponding to the construction land data of the sub-click,
is composed of
The corresponding word vector is then used to generate the word vector,
，
is as follows
Text vector corresponding to construction land data clicked once
The text vector corresponding to the building location data being matched,
is composed of
The word vector of (1).
When the user only inputs the search sentence for searching and does not click on the building land data, that is
The formula of the matching degree is as follows:
namely, only the matching degree of the retrieval sentence and the construction land data in the construction land database subsystem needs to be considered.
In that
And then, the user clicks the construction land data once, and the matching degree formula is as follows:
In that
According to the matching degree formula, the matching degree can be seen
The calculation takes two aspects into consideration, the first aspect is the matching degree of the question originally input by the user and the construction land data in the construction land database subsystem, the second aspect is the matching degree of the clicked construction land data and the construction land data in the construction land database subsystem, and the weight of the first aspect is
The weight of the second aspect is 1, that is, the new hit building site data is higher.
From the above analysis, it can be seen that the weights are weighted in the continuous hits
、
、
The equal weight is smaller with higher click times, and the value is smaller, and the last click weight is highest to be 1, so that the searching method designed by the invention gives priority to the latest requirements of the user, but simultaneously considers the historical requirements of the user, but the historical requirements of the user with longer time are more distant, the share ratio is smaller, and the requirements of the user are continuously clarified through the next click of the user.
C5, according to the new matching degree, rearranging the construction land data in the construction land database subsystem, and jumping to the step C4 until the user finds the required construction land data.
Claims (2)
1. An approval system for a construction site project, comprising: the system comprises a communication consultation subsystem, a construction site project data uploading subsystem, a construction site project data classification subsystem, a construction site project data examination and approval subsystem, a construction site location subsystem, a construction site database subsystem and an autonomous retrieval subsystem;
The communication consultation subsystem is used for project communication of the construction land; the construction site project data uploading subsystem is used for uploading construction site project data; the construction land project data classification subsystem is used for classifying the uploaded construction land project data; the construction site project data approval subsystem is used for approving the classified construction site project data; the construction site location subsystem is used for calling construction site data matched with the construction site project data in the construction site database subsystem; the autonomous retrieval subsystem is used for calling the construction land data in the construction land database subsystem according to user retrieval;
the communication consultation subsystem comprises: a fixed question unit and a flexible question unit;
the fixed question unit is used for listing the fixed questions in a communication window and obtaining the answers of the fixed questions by selecting the listed fixed questions; the flexible question unit is used for answering according to characters input to the communication window by a user;
the flexible question unit includes: a question keyword extraction module and a reply matching module;
the question keyword extraction module is used for extracting keywords from characters input into a communication window by a user to obtain communication keywords; the answer matching module is used for searching an answer database according to the communication keywords and listing suspected answers;
The method for processing the words by the flexible question unit comprises the following steps:
a1, removing connection words, punctuation marks and subject words from the characters input into the communication window by the user to obtain a plurality of communication keywords which can be used as nouns;
a2, vectorizing a plurality of communication keywords which can be used independently as nouns to obtain a plurality of keyword and word vectors;
a3, matching a plurality of keyword vectors with answers in an answer database, and screening to obtain all answers carrying the keyword vectors;
a4, calculating the matching rate of a plurality of keyword vectors and answers carrying the keyword vectors;
a5, displaying the answers with high matching rate and keyword word vectors in a communication window;
the formula of the step a4 for calculating the matching rate of the keyword-word vectors and the answers carrying the keyword-word vectors is:
wherein, P m Match rate, ω, for mth response of all responses carrying keyword-word vectors n For the number of times the nth keyword appears in the user-input text, a mn The number of times of occurrence of the nth keyword in the answer of the mth sentence, N is the number of categories of keyword word vectors, P max Matching maximum values in all answers carrying keyword word vectors;
The method for classifying the construction land project data by the construction land project data classification subsystem comprises the following steps:
b1, extracting character features in the historical construction site project data, and constructing a training sample;
b2, calculating the frequency of each category in the training sample;
b3, calculating the probability of the construction land project data to be classified belonging to each category land according to the frequency of each category in the training sample;
b4, screening the land category corresponding to the highest probability as the category of the project data of the construction land to be classified;
the formula for calculating the frequency of each class in the training sample in step B2 is:
P land for business service Business-oriented sample/total training sample
P Residential ground Residential land sample/total training sample
P Industrial land Industrial site sample/total training sample
Wherein, P Land for business service Frequency of the land of commercial service, P Residential ground Frequency of residential land, P Industrial land Frequency of industrial site;
probability P 'that the project data of the construction land to be classified belong to the business land in the step B3' Land for business service ：
P′ Land for business service ＝P Land for business service P(α 1 For business) P (alpha 2 For business) … P (alpha) n For businessFloor)
Probability P 'that construction land project data to be classified belong to residential land' Residential ground ：
P′ Residential ground ＝P Residential ground P(α 1 Floor for dwelling house P (alpha) 2 Residential land) … P (alpha) n Floor for house |)
Probability P 'that construction land item data to be classified belong to industrial land' Industrial land ：
P′ Industrial land ＝P Industrial land P(α 1 Industrial application of P (alpha) 2 Industrial) … P (alpha) n I Industrial land)
Wherein, P (alpha | business land) is the probability that the character characteristic alpha in the historical construction land project data belongs to the commercial land, alpha 1 、α 2 、…、α n The method is used for representing different types of character features in the historical building site project data, wherein P (alpha | residential site) is the probability that the character feature alpha in the historical building site project data belongs to the residential site, P (alpha | industrial site) is the probability that the character feature alpha in the historical building site project data belongs to the industrial site, and P is the probability that the character feature alpha in the historical building site project data belongs to the industrial site Land for business service Frequency of the land of commercial service, P Residential ground Frequency of residential land, P Industrial land Frequency of industrial site;
the autonomous retrieval subsystem is used for retrieving the building site database subsystem through retrieval sentences input by a user, and the retrieval method comprises the following steps:
c1, vectorizing the search sentence to obtain a search sentence vector;
c2, calculating the matching degree of the search sentence vector and the construction land data in the construction land database subsystem;
C3, sequentially displaying the construction site data in the construction site database subsystem from high to low according to the matching degree;
c4, recalculating new matching degree again according to the construction land data clicked by the user;
c5, rearranging the construction site data in the construction site database subsystem according to the new matching degree, and jumping to the step C4 until the user finds the required construction site data;
the formula for calculating the new matching degree in step C4 is:
wherein, S is the matching degree calculated when the user clicks the t-th time, and x ═ x 1 ,…,x n X is a retrieval sentence vector input by a user, x 1 ,…,x n For searching word vector in sentence vector, y ═ y 1 ,…,y n Y is a text vector corresponding to the construction land data being matched with x, y 1 ,…,y n Is a word vector in y, x 1 ＝{x 11 ,…,x n1 }，x 1 The text vector, x, corresponding to the 1 st clicked construction ground data 11 ,…,x n1 Is x 1 Chinese word vector, y 1 ＝{y 11 ,…,y n1 }，y 1 Is a text vector x corresponding to the 1 st clicked construction-use ground data 1 Text vector, y, corresponding to the building location data being matched 11 ,…,y n1 Is y 1 Word vector of (1), x t ＝{x 1t ,…,x nt }，x t The text vector, x, corresponding to the t-th clicked construction land data 1t ,…,x nt Is x t Corresponding word vector, y t ＝{y 1t ,…,y nt }，y t Is a text vector x corresponding to the t-th clicked construction land data t Text vector, y, corresponding to the building location data being matched 1t ,…,y nt Is y t The word vector of (1).
2. The system for approving construction site project according to claim 1, wherein the subsystem for approving construction site project data comprises: the device comprises a data quantity approval unit, a data title approval unit, a data format approval unit and a repeated approval fresh seal approval unit;
the data quantity approval unit is used for approving the quantity of the files contained in the construction site project data; the data title approval unit is used for approving the titles of the files contained in the construction site project data; the data format approval unit is used for approving whether the format of the file contained in the construction site project data is standard or not; the examination and approval unit for examining and approving the fresh seal of the file contained in the construction site project data is used for examining and approving whether the fresh seal meets the regulations.
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| CN202210340141.2A CN114491051B (en) | 2022-04-02 | 2022-04-02 | Project approval system for building site |
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