CN114491051A - Project approval system for building site - Google Patents

Project approval system for building site Download PDF

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CN114491051A
CN114491051A CN202210340141.2A CN202210340141A CN114491051A CN 114491051 A CN114491051 A CN 114491051A CN 202210340141 A CN202210340141 A CN 202210340141A CN 114491051 A CN114491051 A CN 114491051A
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CN114491051B (en
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顾红松
赵启斌
唐为之
匡先辉
鲍超
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Sichuan Big Data Center
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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

Project approval system for building site
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 connecting words, punctuation marks and subject words input into the communication window by a user to obtain a plurality of communication keywords which can be used as nouns independently;
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:
Figure 571548DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 943754DEST_PATH_IMAGE002
for all answers carrying keyword-word vectors
Figure 594179DEST_PATH_IMAGE003
The matching rate of the bar responses is,
Figure 377327DEST_PATH_IMAGE004
is as follows
Figure 745991DEST_PATH_IMAGE005
The number of times a keyword appears in the user-input text,
Figure 157774DEST_PATH_IMAGE006
is as follows
Figure 928284DEST_PATH_IMAGE003
First in a sentence reply
Figure 882334DEST_PATH_IMAGE005
The number of times that an individual keyword occurs,
Figure 738294DEST_PATH_IMAGE007
the number of categories of the keyword word vectors,
Figure 452304DEST_PATH_IMAGE008
for matches in all answers carrying keyword-word vectorsA maximum value.
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 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.
Furthermore, 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;
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:
Figure 811741DEST_PATH_IMAGE009
Figure 202271DEST_PATH_IMAGE010
Figure 279948DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 296184DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 775706DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 337138DEST_PATH_IMAGE014
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
Figure 902111DEST_PATH_IMAGE015
：
Figure 957923DEST_PATH_IMAGE016
Probability that construction land project data to be classified belong to residential land
Figure 88690DEST_PATH_IMAGE017
：
Figure 24285DEST_PATH_IMAGE018
Probability that construction land project data to be classified belong to industrial land
Figure 873293DEST_PATH_IMAGE019
：
Figure 591850DEST_PATH_IMAGE020
Wherein the content of the first and second substances,
Figure 434515DEST_PATH_IMAGE021
for the character features in the historical construction site project data
Figure 213115DEST_PATH_IMAGE022
The probability of belonging to a place of business,
Figure 877314DEST_PATH_IMAGE023
、
Figure 399563DEST_PATH_IMAGE024
、…、
Figure 583550DEST_PATH_IMAGE025
used for representing different types of character features in historical construction site project data,
Figure 533052DEST_PATH_IMAGE026
for the character features in the historical construction site project data
Figure 418968DEST_PATH_IMAGE022
The probability of belonging to the residential land,
Figure 744907DEST_PATH_IMAGE027
for the character features in the historical construction site project data
Figure 281937DEST_PATH_IMAGE022
The probability of belonging to an industrial field,
Figure 136760DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 775552DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 905182DEST_PATH_IMAGE014
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, displaying the construction site data in the construction site database subsystem from high to low in sequence 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 that the building land data required by the user is recommended.
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 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 retrieving 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:
Figure 532604DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 89487DEST_PATH_IMAGE002
for all answers carrying keyword-word vectors
Figure 949996DEST_PATH_IMAGE003
The matching rate of the bar responses is,
Figure 617737DEST_PATH_IMAGE004
is as follows
Figure 866709DEST_PATH_IMAGE005
The number of times a keyword appears in the user-input text,
Figure 594494DEST_PATH_IMAGE006
is as follows
Figure 942299DEST_PATH_IMAGE003
First in a sentence reply
Figure 148152DEST_PATH_IMAGE005
The number of times that an individual keyword occurs,
Figure 15745DEST_PATH_IMAGE007
the number of categories of the keyword word vectors,
Figure 711169DEST_PATH_IMAGE008
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:
Figure 483953DEST_PATH_IMAGE009
Figure 290235DEST_PATH_IMAGE010
Figure 402547DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 580456DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 778220DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 450509DEST_PATH_IMAGE014
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 belongs to the business land in the step B3
Figure 417328DEST_PATH_IMAGE015
：
Figure 267604DEST_PATH_IMAGE016
Probability that construction land project data to be classified belong to residential land
Figure 952663DEST_PATH_IMAGE017
：
Figure 428644DEST_PATH_IMAGE018
Probability that construction land project data to be classified belong to industrial land
Figure 984390DEST_PATH_IMAGE019
：
Figure 38190DEST_PATH_IMAGE020
Wherein the content of the first and second substances,
Figure 944966DEST_PATH_IMAGE021
for the character features in the historical construction site project data
Figure 693479DEST_PATH_IMAGE022
The probability of belonging to a place of business,
Figure 634890DEST_PATH_IMAGE023
、
Figure 826969DEST_PATH_IMAGE024
、…、
Figure 221041DEST_PATH_IMAGE025
used for representing different types of character features in historical construction site project data,
Figure 38824DEST_PATH_IMAGE026
for the character features in the historical construction site project data
Figure 834742DEST_PATH_IMAGE022
The probability of belonging to the residential land,
Figure 227415DEST_PATH_IMAGE027
for the character characteristics in the historical construction land project data
Figure 108783DEST_PATH_IMAGE022
The probability of belonging to an industrial field,
Figure 199099DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 849523DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 648983DEST_PATH_IMAGE014
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:
Figure 17647DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 177233DEST_PATH_IMAGE029
for the user to
Figure 682164DEST_PATH_IMAGE030
The degree of match calculated at the time of the sub-click,
Figure 153990DEST_PATH_IMAGE031
，
Figure 9950DEST_PATH_IMAGE032
for the vector of search sentences entered by the user,
Figure 707648DEST_PATH_IMAGE033
to retrieve a word vector in a sentence vector,
Figure 129402DEST_PATH_IMAGE034
，
Figure 395298DEST_PATH_IMAGE035
is prepared by reacting with
Figure 348342DEST_PATH_IMAGE032
The text vector corresponding to the building location data being matched,
Figure 990676DEST_PATH_IMAGE036
is composed of
Figure 594833DEST_PATH_IMAGE035
The vector of the word(s) in (b),
Figure 31630DEST_PATH_IMAGE037
，
Figure 970505DEST_PATH_IMAGE038
the text vector corresponding to the construction location data of the 1 st click,
Figure 885371DEST_PATH_IMAGE039
is composed of
Figure 344035DEST_PATH_IMAGE038
The vector of the Chinese word is a vector of the Chinese word,
Figure 217313DEST_PATH_IMAGE040
，
Figure 879369DEST_PATH_IMAGE041
is a text vector corresponding to the 1 st clicked construction land data
Figure 597927DEST_PATH_IMAGE038
The text vector corresponding to the building location data being matched,
Figure 176675DEST_PATH_IMAGE042
is composed of
Figure 955276DEST_PATH_IMAGE041
The vector of the word in (1) is,
Figure 859954DEST_PATH_IMAGE043
，
Figure 382202DEST_PATH_IMAGE044
is as follows
Figure 815457DEST_PATH_IMAGE030
The text vector corresponding to the construction land data of the sub-click,
Figure 764959DEST_PATH_IMAGE045
is composed of
Figure 401608DEST_PATH_IMAGE044
The corresponding word vector is then used to generate the word vector,
Figure 524284DEST_PATH_IMAGE046
，
Figure 15309DEST_PATH_IMAGE047
is as follows
Figure 401291DEST_PATH_IMAGE030
Text vector corresponding to construction land data clicked once
Figure 23771DEST_PATH_IMAGE044
The text vector corresponding to the building location data being matched,
Figure 887821DEST_PATH_IMAGE048
is composed of
Figure 30090DEST_PATH_IMAGE047
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
Figure 586973DEST_PATH_IMAGE049
Then, the matching degree formula is:
Figure 198214DEST_PATH_IMAGE050
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
Figure 600377DEST_PATH_IMAGE051
And then, the user clicks the construction land data once, and the matching degree formula is as follows:
Figure 862731DEST_PATH_IMAGE052
in that
Figure 590515DEST_PATH_IMAGE051
According to the formula of matching degree, the matching degree can be seen
Figure 344845DEST_PATH_IMAGE053
The calculation takes two aspects into consideration, the first aspect is the question originally input by the user and the construction land in the construction land database subsystemThe second aspect is the matching degree of the clicked construction site data and the construction site data in the construction site database subsystem, and the weight of the first aspect is
Figure 193108DEST_PATH_IMAGE054
The weight of the second aspect is 1, that is, the new click building site data is higher.
From the above analysis, it can be seen that the weights are weighted in the continuous hits
Figure 185335DEST_PATH_IMAGE055
、
Figure 943076DEST_PATH_IMAGE056
、
Figure 653543DEST_PATH_IMAGE057
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 (10)

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 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.
2. The system for approval of project on construction site as claimed in claim 1, wherein said 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.
3. The construction ground project approval system of claim 2, wherein the flexible question sentence 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.
4. The system for approving project for construction site as claimed in claim 3, wherein the flexible question sentence unit processes words by:
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 word vectors and the answers carrying the keyword word vectors;
and A5, displaying the answers with high matching rate and the keyword word vectors in a communication window.
5. The system for approving project for construction site as claimed in claim 4, wherein the formula of step A4 for calculating the matching rate of the keyword word vectors and the answers carrying the keyword word vectors is:
Figure 450131DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 164009DEST_PATH_IMAGE002
for all replies carrying keyword word vectors
Figure 209325DEST_PATH_IMAGE003
The matching rate of the bar responses is,
Figure 447277DEST_PATH_IMAGE004
is as follows
Figure 730491DEST_PATH_IMAGE005
The number of times a keyword appears in the user-input text,
Figure 349691DEST_PATH_IMAGE006
is as follows
Figure 960932DEST_PATH_IMAGE003
First in a sentence reply
Figure 628674DEST_PATH_IMAGE005
Individual keyword go outThe number of times of the present is,
Figure 563132DEST_PATH_IMAGE007
the number of categories of the keyword word vectors,
Figure 149971DEST_PATH_IMAGE008
the maximum of matches in all answers carrying keyword word vectors.
6. 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 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.
7. The system for approval project on construction site as claimed in claim 1, wherein the method for classifying project data on construction site by the subsystem for classification of project data on construction site comprises:
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.
8. The system for approving project on construction site as claimed in claim 7, wherein the formula for calculating the frequency of each category in the training samples in the step B2 is as follows:
Figure 373142DEST_PATH_IMAGE009
Figure 159089DEST_PATH_IMAGE010
Figure 275949DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 174635DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 760469DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 504434DEST_PATH_IMAGE014
frequency of industrial use.
9. The system for approval of project on construction site as claimed in claim 7, wherein the probability that the project data on construction site to be classified in step B3 belongs to the commercial site
Figure 741380DEST_PATH_IMAGE015
：
Figure 342126DEST_PATH_IMAGE016
Probability that construction land project data to be classified belong to residential land
Figure 539889DEST_PATH_IMAGE017
：
Figure 461446DEST_PATH_IMAGE018
Probability that construction land project data to be classified belong to industrial land
Figure 428265DEST_PATH_IMAGE019
：
Figure 793387DEST_PATH_IMAGE020
Wherein the content of the first and second substances,
Figure 291496DEST_PATH_IMAGE021
for the character features in the historical construction site project data
Figure 439580DEST_PATH_IMAGE022
The probability of belonging to a place of business,
Figure 260906DEST_PATH_IMAGE023
、
Figure 796929DEST_PATH_IMAGE024
、…、
Figure 703706DEST_PATH_IMAGE025
used for representing different types of character features in historical construction site project data,
Figure 958277DEST_PATH_IMAGE026
for the character features in the historical construction site project data
Figure 899688DEST_PATH_IMAGE022
The probability of belonging to the residential land,
Figure 606613DEST_PATH_IMAGE027
for the character features in the historical construction site project data
Figure 685DEST_PATH_IMAGE022
The probability of belonging to an industrial field,
Figure 569201DEST_PATH_IMAGE012
for the frequency of the land of the commercial use,
Figure 99539DEST_PATH_IMAGE013
the frequency of the residential land is the frequency of the residential land,
Figure 977365DEST_PATH_IMAGE014
frequency of industrial use.
10. The system for approving construction site projects as claimed in claim 1, wherein the autonomous retrieval subsystem is configured to retrieve the construction site database subsystem through a retrieval sentence inputted by a user, and the retrieval method comprises:
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.
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