CN117252340A - Land packet-extending net signature system based on satellite data right determination - Google Patents

Land packet-extending net signature system based on satellite data right determination Download PDF

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CN117252340A
CN117252340A CN202311253864.XA CN202311253864A CN117252340A CN 117252340 A CN117252340 A CN 117252340A CN 202311253864 A CN202311253864 A CN 202311253864A CN 117252340 A CN117252340 A CN 117252340A
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祁缘
汪元林
李勇
周杰
郑皇
陶一鸣
柳阳
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Anhui Huayin Mechanical and Electrical Co Ltd
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Abstract

The invention discloses a land extension net signature system based on satellite data right, which comprises a land data collection module, a land data right analysis module, a land data management module, a land data query module, an abnormal land data processing module and a net signature module; the land data collection module is used for collecting land data and sending the land data to the land data right-of-confirmation analysis module, wherein the land data comprises land historical data and satellite data; the land data right-of-weight analysis module is used for comprehensively analyzing the input land data to generate right-of-weight data and sending the right-of-weight data to the land data management module; the land data management module is used for storing the input certainty data, generating net sign data according to the certainty data, and sending the net sign data to the net sign module, wherein the net sign data comprises land authority identity data and authority land division data.

Description

Land packet-extending net signature system based on satellite data right determination
Technical Field
The invention relates to the technical field of land management, in particular to a land extension packet network label system based on satellite data right determination.
Background
Through retrieval, the first prior art with the publication number of CN104637016B provides a system and a method for investigating the rural collective land property right information.
In addition, the prior art with the publication number of CN112579523A is a rural land circulation management system based on the blockchain technology, and the land circulation management system based on the blockchain technology is characterized in that a land circulation supervision module tracks and manages land circulation projects which have been recorded based on the blockchain technology, so that land circulation behaviors are standardized, the land circulation efficiency is improved, a land right trading unit traces the trading of land contractual right based on the blockchain technology, the trading data of the land right is recorded, and the credible trading of the land right data is realized; the data security and supervision unit manages the data stored by each flow node through the application of the block chain technology.
Analysis according to the first and second prior art still found that the following disadvantages exist:
1. Although high-precision mapping equipment is adopted for measurement, measurement errors still exist, and land block data still cannot be accurately analyzed;
2. the land rights person can sign up the process for the rights land of the land rights person by the related departments, the time consumption is long, and after signing up, the inquiry of the land data can be carried out only when the departments are open, and the land data inquiry hysteresis is provided;
3. the land owner wants to know the use and compliance of the land of the owner, can only inquire by related departments, has long information acquisition time, cannot feed back in real time when land data error conditions such as land use violations, untimely change of the name of the land owner after land transfer and the like exist, and has hysteresis of land data error inquiry and correction.
Disclosure of Invention
The invention aims to provide a land extension package net label system based on satellite data right determination, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the land pack-extending net sign system based on satellite data validation comprises a land data collection module, a land data validation analysis module, a land data management module, a land data query module, an abnormal land data processing module and a net sign module;
The land data collection module is mainly used for collecting land data and sending the land data to the land data right analysis module, wherein the land data comprises land history data and satellite data;
the land data right-of-weight analysis module is mainly used for comprehensively analyzing the input land data, so as to generate right-of-weight data, and transmitting the right-of-weight data to the land data management module;
the land data management module is mainly used for storing input right-determining data, generating net signature data according to the right-determining data, and sending the net signature data to the net signature module, wherein the net signature data comprises land right person identity data and right land division data;
the web sign module is mainly used for generating a web sign page with a specific label according to the input web sign data, the web sign page is used for enabling a right person to check the web sign data, and if the web sign data is wrong, an abnormal web sign warning is generated and sent to the land data query module for feedback;
the land data query module is mainly used for carrying out data query requests on the nettag data, receiving the abnormal nettag warning sent by the nettag module, generating a verification instruction according to the abnormal nettag warning, and sending the verification instruction to the land data management module;
The abnormal land data processing module is mainly used for analyzing the nettag data and the validation data which are called after the land data management module receives the validation instruction, generating a validation mark according to the data errors of the nettag data and the validation data, and sending the validation mark to the land data management module.
In a preferred embodiment, the land history data is obtained by calling through a land data management module, the land history data comprises identity data and land attribution data, the identity data is identity information of a land authority, the identity data comprises a name, a gender, an age, a birth date and an identity card, the land attribution data comprises land use data, land right evidence data, land history transaction data, land tax and property data and land use compliance data corresponding to the identity data, and the land use data comprises a land area, a land use and a land block boundary.
In a preferred embodiment, the rights data includes rights vector data and rights object data, wherein the rights vector data is satellite position data and satellite geographic boundary data of the corresponding block, and the rights object data is marked by data for the corresponding block;
The satellite data specifically comprises satellite position data and satellite geographic boundary data, and the satellite data acquisition steps are as follows:
step Q1, loading satellite images by using geographic information system software, manufacturing a topographic map layer, extracting topographic features by using a remote sensing image processing tool, creating elevation data by using a digital elevation model, importing land data provided by a natural resource planning bureau, superposing the land data with the topographic model, and generating a land block format file;
q2, using a flash frame of Python to receive uploading of the land parcel format file, extracting text information and position information, and analyzing the extracted information into processable position data;
q3, mapping the position data to coordinates on a terrain model by using a geographic coordinate conversion tool according to the analyzed position data, setting a data rule, and creating positions of identification points on the terrain model, wherein the data rule carries out mark point generation by using a land block boundary, and creates a mark point by using the mark point distance of each m meters;
and Q4, carrying out coordinate system calibration on the satellite image and the terrain model, detecting the land block boundary in the satellite image by using an edge detection algorithm, determining the geographic boundary data of the land block based on elevation information, carrying out line marking of the land block by using the determined land block boundary data, and establishing the relationship between the land block boundary data and the marking points.
And Q5, creating a map interface by using a map library, visualizing geographic data such as a terrain model, a land parcel boundary, an identification point and the like on the map, and setting a user interface to allow a user to view and interact with the geographic data and view detailed information of the land parcel.
In a preferred embodiment, the land data right analysis module performs comprehensive analysis on the land history data and the satellite data, and the specific analysis steps are as follows:
acquiring land attribution data of the identity data in the land historical data and corresponding to the identity data, analyzing land change conditions through land use data, land historical transaction data, land tax and property data and land use compliance data, generating change condition label data, and marking the condition source by the data;
and carrying out association analysis on the condition source data label and the satellite data, carrying out changed land block allocation processing, outputting the confirming data, and generating a satellite base map label on the satellite base map according to the confirming data.
In a preferred embodiment, the land change condition analyzing step includes a first analyzing step, a second analyzing step and a third analyzing step, and the specific analyzing procedure is as follows:
The first analysis step is as follows;
analyzing land historical transaction data, which includes land buying and selling or transferring histories and land right change records, by taking the identity data as a change mark target, and if the identity data of the latest land buying and selling or transferring histories and land right change records are the same as the change mark target data or the land buying and selling or transferring histories and the land right change records are not stored, normally marking the change mark target by first historical data; if the stored identity data of the latest land buying and selling or transferring history record and the land right change record are different from the change mark target data, performing first history data abnormal marking;
the second analysis step is as follows;
the land use data comprises land area, land use and land block boundary, the land area in the land use data and the land buying and selling or transferring history record in the land historical transaction data are integrated and analyzed, and if the land area is the same as the land buying and selling or transferring history record in the land historical transaction data after final transferring, the second historical data is normally marked for the change marking target; if the land area is different from the land buying and selling or transferring records in the land historical transaction data, performing second historical data abnormal marking on the change marking target;
The third analysis step is as follows;
the land tax and property data includes land tax information and land evaluation value, and the land use compliance data includes land use license data and legal document data; carrying out integrated analysis on land tax information, land use permission data and legal document data, and if the change mark target pays land tax on time and has the land use permission data and the legal document data associated with the land use data, carrying out third historical data normal mark on the change mark target; and if the change mark target does not pay land tax on time or/and does not have land use permission data and legal document data associated with the land use data, carrying out third historical data normal marking on the change mark target.
In a preferred embodiment, the first historical data abnormal mark, the first historical data normal mark, the second historical data abnormal mark, the second historical data normal mark, the third historical data abnormal mark and the third historical data normal mark are subjected to integrated analysis to generate change condition label data;
the change condition label data comprises a land high anomaly label, a land medium anomaly label and a land low anomaly label, the condition source labels comprise condition sources such as "# land owner anomaly #", "# land area anomaly #", "# land non-compliance use #", and the like, and the specific steps for generating the change condition label data are as follows:
If a single change mark target simultaneously has a first historical data abnormal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating a land height abnormal mark for the change mark target, and marking the change mark target with data of "# land owner abnormality #", "# land area abnormality #", "# land non-compliance use #", and the like;
if a single change mark target is provided with a first historical data abnormal mark, a second historical data abnormal mark and a third historical data normal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land weight person abnormal#" and "# land area abnormal#";
if a single change mark target is provided with a first historical data abnormal mark, a second historical data normal mark and a third historical data abnormal mark, generating an in-soil abnormal mark for the change mark target, and marking the change mark target by data according to the situation source of "# land authority abnormal #" and "# land non-compliance use #";
if a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land area abnormal #" and "# land non-compliance use #";
If a single change mark target has a first historical data abnormal mark, a second historical data normal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land authority abnormal #";
if a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation of "# land abnormal#";
if a single change mark target is provided with a first historical data normal mark, a second historical data normal mark and a third historical data abnormal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target by data according to the situation of "# land non-compliance use #";
if a single change mark object is provided with a first history data normal mark, a second history data normal mark and a third history data normal mark, change condition label data is not generated for the change mark object, and condition source data of the change mark object is not marked.
In a preferred embodiment, according to the situation marked by the single change marking target, the data marking and the satellite position data and the satellite geographic boundary data are integrated and analyzed to generate the right-determining data, and the step of generating the right-determining data is as follows:
cleaning condition origin data, ensuring data quality and consistency, associating satellite data with the condition origin data, and ensuring data matching; using a geographic information system tool or library to correlate satellite geographic boundary data with situation source data and dividing land parcels; combining or dividing each land parcel, classifying according to the condition marked by the data of the condition source, labeling each land parcel, and distributing corresponding land parcel labels for each land parcel according to the marking of the data of the condition source, wherein the land parcel labels specifically comprise land weight person abnormality, land area abnormality and land non-compliance use, and the land parcel labels are associated with the geographical position information of the land parcel so as to ensure that each land parcel has corresponding label information; labeling the entitlement data tags on the satellite base map using a mapping tool or library; labeling a user land block on the satellite base map, so that a farmer can intuitively see own land and related label information;
The generating logic of the satellite base map label is as follows:
if the single land block is marked by data in the conditions of "# land authority anomaly #", "# land non-compliance use #", generating satellite base map labels of the "land authority anomaly", "land area anomaly", "land non-compliance use", and the like for the satellite base map of the land block;
if the single land block has the condition sources such as "# land weight anomaly #" and "# land area anomaly #" marked by data, generating satellite base map labels of the "land weight anomaly" and "land area anomaly" for the satellite base map of the land block;
if the conditions such as "# land area abnormality #" and "# land non-compliance use #" exist in a single land block and are originally marked by data, generating satellite base map labels of the "land area abnormality" and "land non-compliance use" for the satellite base map of the land block;
if the single land block has the condition sources such as "# land owner anomaly #" and "# land non-compliance use #" marked by data, generating satellite base map labels of the "land owner anomaly" and "land non-compliance use" for the satellite base map of the land block;
If the condition source of the "# land owner anomaly # exists in the single land block and is marked by data, generating a satellite base map label of the" # land owner anomaly "for the satellite base map of the land block;
if the situation source of "# land area abnormality #" exists in a single land block is marked by data, generating a satellite base map label of "land area abnormality" for the satellite base map of the land block;
if the condition source of the "# land non-compliance use #" exists in a single land block and is marked by data, generating a satellite base map label of the "land non-compliance use";
if the single land block does not have the situation source marked by the data, generating a satellite base map label of normal land use state for the satellite base map of the land block.
In a preferred embodiment, the land data management module converts the validation data into the nettag data for the client nettag, and the generating step of the nettag data is as follows:
the land data management module acquires the right vector data and the right attribute data, integrates and analyzes the right vector data and the right attribute data, and generates web tag data by combining satellite position data and satellite geographic boundary data of the land by using the integrated right data;
The web tag data comprises land rights person identity data and rights land division data:
the identification data of the land rights person specifically comprise names, sexes, ages, birth dates and identity cards, and the rights land dividing data comprise land areas, land use compliance and satellite map data of lands;
and using a proper tool or library to visually display the generated web tag data so that the rights-holder can intuitively know the situation of the land block owned by the rights-holder, mapping and displaying satellite map data and geographic position data of the land block on a map according to the proportion of 1:K, wherein K is an integer greater than 0.
In a preferred embodiment, the land data query module includes a web tag data query unit, where the web tag data query unit is configured to query real-time land data after signing the web tag data by a land owner, and transmit a query request for real-time land data to the land data management module through an instruction of a query instruction, where the query procedure specifically includes:
creating a user interface for a land owner to input a query request, wherein the interface can comprise input fields of query conditions, such as land block identification, owner identity information and the like, constructing a query interface, adding verification and input check to ensure that the information provided by a user is in a correct format, and sending the query instruction to a land data management module by using a proper communication protocol, wherein the query instruction comprises required query conditions and identifiers so that the land data management module can identify and process the request;
After receiving the inquiry request, the land data management module searches corresponding land data in the database according to the inquiry condition of the request, generates an inquiry result and returns the result to the nettag data inquiry unit, and after receiving the response of the land data management module, the nettag data inquiry unit displays the inquiry result on the user interface.
In a preferred embodiment, the abnormal land processing module includes an abnormal land verification unit and a verification identifier matching unit, and the step of analyzing the validation data and the web tag data by the abnormal land processing module is as follows:
the abnormal land verification unit receives corresponding web sign data and right-confirming data, integrates and analyzes the web sign data and the right-confirming data, and generates verification data for the verification instruction, wherein the verification data comprises correct verification data and error verification data, and the logic for analyzing the corresponding web sign data and right-confirming data is as follows;
if all the data in the web sign data and the right-confirming data are not matched, generating error verification data for the verification instruction; if all the data stored in the web sign data and the data in the right verification data are matched, generating correct verification data for the verification instruction;
The abnormal land verification unit sends verification data to the verification identifier matching unit, and generates a verification identifier for the verification instruction, wherein the logic generated by the verification identifier is as follows;
if the verification data is error verification data, generating an ' information error report ' mark for the verification instruction, and timely contacting with manual processing ' mark; if the verification data is correct verification data, generating an 'information error-free' mark for the verification instruction;
the verification mark matching unit sends the verification mark to the land data management module, the land data management module generates verification feedback data according to the verification mark, and the logic for generating the verification feedback data is as follows:
if the verification instruction has an information error report mark, generating verification feedback data of ' information error ' for the verification instruction, requesting to timely contact manual processing '; if the verification instruction has the 'information error-free' mark, generating 'information error-free' verification feedback data for the verification instruction, and carefully checking.
In the technical scheme, the invention has the technical effects and advantages that:
1. according to the invention, the result is visually displayed by using a data visual tool or library, satellite position data and satellite geographic boundary data of the owned land are visually displayed by combining satellite map data, land owners can clearly check the land data, the land owners can conveniently know the condition of the land owned by the land owners, when the land data change, the land data updated in real time can be provided for the land owners, and proper safety measures are adopted in communication and data transmission, so that the data privacy of users and the safety of a system are ensured;
2. According to the method, the land use conditions of different land owners are further analyzed, when the satellite base map is marked, the deep land use analysis marking is carried out according to the land use conditions of the land owners, so that whether the land data of the land owners are not changed in time or not is reminded, whether the land owners are not matched with the identity data in real time or not is judged, and the mastering of the land data by the land owners and the acquisition and inquiry of the database storage information are accelerated.
Drawings
For a clearer description of embodiments of the present application or of the solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings for a person skilled in the art.
FIG. 1 is a block flow diagram of a land extension packet network signature system based on satellite data validation in accordance with the present invention;
FIG. 2 is a flowchart of an overall implementation of a land extension packet network signature system based on satellite data validation according to the present invention;
FIG. 3 is a block diagram of a land delay package signature system based on satellite data authorization according to the present invention;
Fig. 4 is a block diagram of a satellite data based verification and verification flow for mistaken question and verification of module tag data of a land extension package tag system.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the land pack-extending net label system based on satellite data right in this embodiment includes a land data collection module, a land data right analysis module, a land data management module, a land data query module and a net label module;
the land data collection module is mainly used for collecting land data and sending the land data to the land data right analysis module, wherein the land data comprises land history data and satellite data;
The land data right-of-weight analysis module is mainly used for comprehensively analyzing the input land data, further generating right-of-weight data and sending the right-of-weight data to the land data management module;
the land data management module is mainly used for storing the input right-confirming data, generating the nettag data according to the right-confirming data and sending the nettag data to the nettag module;
the web sign module is mainly used for generating a web sign page with a specific tag according to the input web sign data, the web sign page is used for a right giving person to check the web sign data, and if the web sign data is wrong, an abnormal web sign warning is generated and sent to the land data query module for feedback;
the land data query module is mainly used for carrying out data query requests on the nettag data.
The land history data is obtained by calling through a land data management module, the land history data comprises identity data and land attribution data, the identity data is identity information of land authority, the identity data comprises name, gender, age, birth date and identity card, and the land attribution data comprises land use data, land authority proving data, land history transaction data, land tax and property data and land use compliance data corresponding to the identity data;
It should be noted that:
the land use means an intended use of land, such as agriculture, industry, residence, business, etc.; the land area is specifically the total area of the land, and is usually expressed in square meters or mu; land parcel boundaries are parcel boundaries or outlines, typically represented by geographic coordinates or geographic data;
the land right certification data comprises a land right certificate number, a certificate issuing organization and an issuing date, wherein the land right certificate number is used for uniquely identifying a right certification file; the certificate issuing organization is an organization or department issuing the land right certificate, the issuing date is the issuing date of the land right certificate, and the certificate issuing organization is used for determining the validity period of the right certificate;
the land history transaction data includes a land purchase or sale history record and a land right change record, wherein the land purchase or sale history record includes a past transaction history of the land, including purchase price, transaction date, information of both sides, and the like, and the land purchase or sale history record describes a history change of the land right, such as inheritance, gifts, auctions, and the like;
land tax and property data include land tax information, specifically, land related tax information, such as land tax, house tax, etc., and land evaluation value; the land evaluation value is the market value evaluation of the land and is used for calculating tax or property value;
The land use compliance data includes land use license data including land use license image data and planning license image data for verifying the validity and compliance of the land and legal document data; the legal documents are land related legal documents, such as land regulations, land contracts, etc.
The right data comprises right vector data and right attribute data, wherein the right vector data is satellite position data and satellite geographic boundary data of the corresponding land parcels, and the condition origin of the right attribute data being the corresponding land parcels is marked by the data;
the satellite data specifically comprises satellite position data and satellite geographic boundary data;
it should be noted that: the satellite-identified plots are classified by satellite data, but it should be noted that the matching between plots and users is not performed in this step, but only the plots are distinguished by satellites.
The satellite position data and the satellite geographic boundary data are obtained by the following steps:
step Q1, loading satellite images by using geographic information system software, manufacturing a topographic map layer, extracting topographic features by using a remote sensing image processing tool, creating elevation information by using a digital elevation model, importing land data provided by a natural resource planning bureau, superposing the land data with the topographic model, and generating a land block format file;
It should be noted that:
the satellite images can be acquired from related data servers, such as a cloud computing platform, a satellite data portal and the like, and the geographic information system software comprises ArcGIS, QGIS and the like;
q2, using a flash frame of Python to receive uploading of the land parcel format file, extracting text information and position information, and analyzing the extracted information into processable satellite position data;
the flow of using the flash framework of Python is:
creating a project folder, then creating a virtual environment in the project folder and installing flash and other necessary dependent items;
creating a flash application named app.py and setting a file upload directory;
creating a route, allowing a user to upload the land parcel format file, and extracting text data and position information from a route processing function;
processing Word documents by using a python-docx library, processing PDF files by using a pdfminer. Six, and extracting text data;
running a flash application in a project folder, and using a browser or an API client to send a POST request to upload files and extract data;
q3, mapping satellite position data to coordinates on a terrain model by using a geographic coordinate conversion tool according to the analyzed satellite position data, setting a data rule, and creating positions of identification points on the terrain model, wherein the data rule carries out mark point generation by using a land parcel boundary, a mark point is created by using the mark point interval of each m meters, and m is a constant larger than 0;
Q4, carrying out coordinate system calibration on the satellite image and the terrain model, detecting the land block boundary in the satellite image by using an edge detection algorithm, determining satellite geographic boundary data of the land block based on elevation information in the step Q1, and carrying out line marking of the land block by using the determined satellite land block boundary data to establish the relationship between the satellite land block boundary data and the identification points;
it should be noted that: the satellite images are subjected to edge detection, so that the boundaries of the land block can be detected, and common edge detection algorithms comprise Sobel, canny, prewitt and the like.
The block boundary detection is based on edge information in satellite images, an image analysis and processing technology is applied to detect the boundary of the block, and connectivity analysis, contour detection or other image analysis technologies are used to identify and extract the boundary of the block;
and Q5, creating a map interface by using a map library, visualizing geographic data such as a terrain model, satellite position data, satellite land block boundary data, identification points and the like on the map, and setting a user interface to allow a user to view and interact with the geographic data and view detailed information of the land block.
It should be noted that: the map library can adopt Leaflet, openLayers and the like;
creating a map container, usually a < div > element, in a Web page, for bearing a map, initializing the map by using a selected map library, embedding the map into the map container, and when initializing the map, needing to designate an initial center point, a zoom level and other related parameters of the map, loading geographic data such as a topographic model, a land parcel boundary, an identification point and the like according to the position data and the geographic boundary data, and adding the topographic model, the land parcel boundary and the identification point data to the map by using a method provided by the map library;
The steps of setting up the user interface are: user interface elements including sidebars, control panels, information boxes and the like are created to allow a user to interact with the map, buttons, filters or input boxes are added to enable the user to choose to view a specific land parcel or execute other operations, patterns and icons of the map elements are customized to make the map interface attractive and accord with project design, navigation controls such as zoom control, full screen control, layer switching control and the like are added according to requirements to provide more map interaction functions, the map interface is tested to ensure that all functions work normally, and geographic data is displayed correctly.
The land data right-of-way analysis module carries out comprehensive analysis on land history data and satellite data, and the specific analysis steps are as follows:
acquiring land attribution data of the identity data in the land historical data and corresponding to the identity data, analyzing land change conditions through land use data, land historical transaction data, land tax and property data and land use compliance data, generating change condition label data, and marking the condition source by the data;
and carrying out association analysis on the condition source data label and the satellite data, carrying out changed land block allocation processing, outputting the confirming data, and generating a satellite base map label on the satellite base map according to the confirming data.
The land change condition analysis step comprises a first analysis step, a second analysis step and a third analysis step, and the specific analysis flow is as follows:
the first analysis step is as follows;
analyzing land historical transaction data, which includes land buying and selling or transferring histories and land right change records, by taking the identity data as a change mark target, and if the identity data of the latest land buying and selling or transferring histories and land right change records are the same as the change mark target data or the land buying and selling or transferring histories and the land right change records are not stored, normally marking the change mark target by first historical data;
if the stored identity data of the latest land buying and selling or transferring history record and the land right change record are different from the change mark target data, performing first history data abnormal marking;
it should be noted that: the first historical data is mainly used for analyzing the identity data of the latest land buying and selling or transferring historical record and the land right change record, and judging whether the first historical data is matched with the identity data serving as a change mark target or not, namely analyzing the land condition through whether a land right change person is or not;
The second analysis step is as follows;
the land use data comprises land area, land use and land block boundary, the land area in the land use data and the land buying and selling or transferring history record in the land historical transaction data are integrated and analyzed, and if the land area is the same as the land buying and selling or transferring history record in the land historical transaction data after final transferring, the second historical data is normally marked for the change marking target;
if the land area is different from the land buying and selling or transferring records in the land historical transaction data, performing second historical data abnormal marking on the change marking target;
it should be noted that: the second historical data is mainly used for analyzing the latest land area change condition, namely judging whether the land area data is updated in real time by judging whether the land area change condition is the same as the land area after final transfer of the land marketing or transfer history record;
the third analysis step is as follows;
the land tax and property data includes land tax information and land evaluation value, and the land use compliance data includes land use license data and legal document data;
Carrying out integrated analysis on land tax information, land use permission data and legal document data, and if the change mark target pays land tax on time and has the land use permission data and the legal document data associated with the land use data, carrying out third historical data normal mark on the change mark target;
if the change mark target does not pay land tax on time or/and does not have land use permission data and legal document data associated with the land use data, carrying out third historical data normal marking on the change mark target;
it should be noted that: the third historical data is mainly used for analyzing whether the change mark target reasonably pays land tax, holds land use permission data and legal document data remembering, so as to confirm whether land right change conditions are updated in real time, namely whether land rights people legally and reasonably use land.
The first historical data abnormal mark, the first historical data normal mark, the second historical data abnormal mark, the second historical data normal mark, the third historical data abnormal mark and the third historical data normal mark are integrated and analyzed to generate change condition label data;
The change condition label data comprises a land high anomaly label, a land medium anomaly label and a land low anomaly label, the condition source is marked by data, and the condition source comprises "# land authority anomaly #", "# land area anomaly #", "# land non-compliance use #", and the like, and the specific steps for generating the change condition label data are as follows:
if a single change mark target simultaneously has a first historical data abnormal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating a land height abnormal mark for the change mark target, and marking the change mark target with data of "# land owner abnormality #", "# land area abnormality #", "# land non-compliance use #", and the like;
if a single change mark target is provided with a first historical data abnormal mark, a second historical data abnormal mark and a third historical data normal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land weight person abnormal#" and "# land area abnormal#";
if a single change mark target is provided with a first historical data abnormal mark, a second historical data normal mark and a third historical data abnormal mark, generating an in-soil abnormal mark for the change mark target, and marking the change mark target by data according to the situation source of "# land authority abnormal #" and "# land non-compliance use #";
If a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land area abnormal #" and "# land non-compliance use #";
if a single change mark target has a first historical data abnormal mark, a second historical data normal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land authority abnormal #";
if a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation of "# land abnormal#";
if a single change mark target is provided with a first historical data normal mark, a second historical data normal mark and a third historical data abnormal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target by data according to the situation of "# land non-compliance use #";
If a single change mark object is provided with a first history data normal mark, a second history data normal mark and a third history data normal mark, change condition label data is not generated for the change mark object, and condition source data of the change mark object is not marked.
According to the condition marked by the single change marking target, carrying out integrated analysis on the data marking, the satellite position data and the satellite geographic boundary data to generate the right-confirming data, wherein the right-confirming data generation steps are as follows:
cleaning condition origin data, ensuring data quality and consistency, associating satellite data with the condition origin data, and ensuring data matching;
using a geographic information system tool or library to correlate satellite geographic boundary data with situation source data and dividing land parcels;
combining or dividing each land parcel, classifying according to the condition marked by the data of the condition source, labeling each land parcel, and distributing corresponding land parcel labels for each land parcel according to the marking of the data of the condition source, wherein the land parcel labels specifically comprise land weight person abnormality, land area abnormality and land non-compliance use, and the land parcel labels are associated with the geographical position information of the land parcel so as to ensure that each land parcel has corresponding label information;
Labeling the entitlement data tags on the satellite base map using a mapping tool or library;
it should be noted that: the mapping tool or library may employ, but is not limited to, google Maps API, leaflet, openLayers, mapbox or ArcGIS API for JavaScript, etc.;
labeling a user land block on the satellite base map, so that a farmer can intuitively see own land and related label information;
the generating logic of the satellite base map label is as follows:
if the single land block is marked by data in the conditions of "# land authority anomaly #", "# land non-compliance use #", generating satellite base map labels of the "land authority anomaly", "land area anomaly", "land non-compliance use", and the like for the satellite base map of the land block;
if the single land block has the condition sources such as "# land weight anomaly #" and "# land area anomaly #" marked by data, generating satellite base map labels of the "land weight anomaly" and "land area anomaly" for the satellite base map of the land block;
if the conditions such as "# land area abnormality #" and "# land non-compliance use #" exist in a single land block and are originally marked by data, generating satellite base map labels of the "land area abnormality" and "land non-compliance use" for the satellite base map of the land block;
If the single land block has the condition sources such as "# land owner anomaly #" and "# land non-compliance use #" marked by data, generating satellite base map labels of the "land owner anomaly" and "land non-compliance use" for the satellite base map of the land block;
if the condition source of the "# land owner anomaly # exists in the single land block and is marked by data, generating a satellite base map label of the" # land owner anomaly "for the satellite base map of the land block;
if the situation source of "# land area abnormality #" exists in a single land block is marked by data, generating a satellite base map label of "land area abnormality" for the satellite base map of the land block;
if the condition source of the "# land non-compliance use #" exists in a single land block and is marked by data, generating a satellite base map label of the "land non-compliance use";
if the single land block does not have the situation source marked by the data, generating a satellite base map label of normal land use state for the satellite base map of the land block.
The generated acknowledgement data is sent to a land data management module for storage and management, the land data management module converts the acknowledgement data into web sign data for a client web sign, and the web sign data is generated by the steps of:
The land data management module acquires the right vector data and the right attribute data, integrates and analyzes the right vector data and the right attribute data, and generates web tag data by combining satellite position data and satellite geographic boundary data of the land by using the integrated right data;
the web tag data comprises land rights person identity data and rights land division data:
the identification data of the land rights person specifically comprise names, sexes, ages, birth dates and identity cards, and the rights land dividing data comprise land areas, land use compliance and satellite map data of lands;
the generated web tag data are visually displayed by using a proper tool or library, so that land owners can intuitively know the situation of the land which the land owners own, and satellite map data and geographic position data of the land are mapped and displayed on a map according to the proportion of 1:K, wherein K is an integer greater than 0;
satellite position data and satellite geographic boundary data of owned plots are combined with satellite map data for visual display so that rights and interests can view their plots on a map;
as shown in fig. 3, after the generated nettag data is sent to the nettag module, the owner checks and signs the nettag data, and the nettag is completed after the correct and signed nettag data is confirmed.
The land data query module comprises a web tag data query unit, wherein the web tag data query unit is used for a land owner to query real-time land data after signing the web tag data, and the real-time land data query request is transmitted to the land data management module through the instruction of the query instruction;
the query flow is specifically as follows:
creating a user interface for a land owner to input a query instruction, wherein the interface can comprise an input field of query conditions, a land identifier, land parameters, owner identity information, use compliance conditions, additional verification and input check, ensuring that an information format provided by a user is correct, and transmitting the query instruction to a land data management module by using an appropriate communication protocol, wherein the query instruction comprises required query conditions and identifiers so that the land data management module can identify and process a request;
after receiving the inquiry command, the land data management module searches corresponding land data in the database according to the inquiry condition of the command, generates an inquiry result and returns the result to the nettag data inquiry unit, and after receiving the response of the land data management module, the nettag data inquiry unit displays the inquiry result on the user interface.
It should be noted that: the query interface may be constructed using front-end development techniques. Such as HTML, CSS, javaScript, etc., suitable communication protocols include HTTP, webSocket, TCP/IP;
the step uses a data visualization tool or library to visually display the results so that the land owner can clearly view the land data, can help ensure that the land owner can conveniently know the condition of the land owned by the land owner, can provide the land owner with the updated real-time land data when the land data changes, and adopts proper safety measures in communication and data transmission to ensure the data privacy of the user and the safety of the system.
Example two
If the land owner checks the net signature data to find that the land area, the land use condition or the land satellite map data are abnormal, the land data can be fed back through a land data query module, and the land extension package net signature system based on satellite data confirmation further comprises an abnormal land data processing module;
the abnormal land data processing module is mainly used for analyzing the nettag data and the validation data which are acquired after the land data management module receives the validation instruction, generating a validation mark according to the data errors of the nettag data and the validation data, and sending the validation mark to the land data management module;
Further, the land data query module further comprises an abnormal land data reporting unit, receives the abnormal web sign warning sent by the web sign module, generates a verification instruction according to the abnormal web sign warning, and sends the verification instruction to the land data management module;
inputting a verification instruction to a set user interface, adding an input field of a land data error reporting condition, wherein the input field comprises a land block identifier, a land parameter, rights and interests information and a use compliance condition, constructing a fault reporting interface, adding verification and input check to ensure that an information format provided by a user is correct, and sending the verification instruction to a land data management module by using a proper communication protocol, wherein the verification instruction comprises a required reporting condition and an identifier so that the land data management module can identify and process a request;
after receiving the verification instruction, the land data management module invokes corresponding web tag data and validation right data in the database according to the verification condition of the instruction, and sends the corresponding web tag data and validation right data and the verification instruction to the abnormal land processing module for analysis and processing;
the abnormal land processing module comprises an abnormal land verification unit and a verification identification matching unit, wherein the abnormal land verification unit receives corresponding web tag data and validation data, performs integrated analysis, and generates verification data for the verification instruction;
The verification data comprises correct verification data and error verification data, and the steps of analyzing the corresponding web tag data and the corresponding validation data are as follows:
if all the data in the web sign data and the right-confirming data are not matched, generating error verification data for the verification instruction;
the error verification data indicate that the land data have non-coincidence between input and output, namely, the net signature data have numerical value difference during output, and the system is in error;
if all the data stored in the web sign data and the data in the right verification data are matched, generating correct verification data for the verification instruction;
the error verification data indicate that the land data have non-coincidence between input and output, namely that the net signature data have numerical value difference when output, the net signature data output by the system are normal, and the land owner has false error reporting condition;
the abnormal land verification unit sends verification data to the verification identifier matching unit, and generates a verification identifier for the verification instruction;
the logic for generating the verification identifier is as follows:
if the verification data is error verification data, generating an ' information error report ' mark for the verification instruction, and timely contacting with manual processing ' mark;
If the verification data is correct verification data, generating an 'information error-free' mark for the verification instruction;
the verification mark matching unit sends the verification mark to the land data management module, the land data management module generates verification feedback data according to the verification mark, and the generation logic of the verification feedback data is as follows:
if the verification instruction has an information error report mark, generating verification feedback data of ' information error ' for the verification instruction, requesting to timely contact manual processing ';
if the verification instruction has the 'information error-free' mark, generating 'information error-free' verification feedback data for the verification instruction, and please carefully check;
and the land data management module sends the verification feedback data back to the nettag data query unit, and the nettag data query unit displays the received verification feedback data on a user interface after receiving the response of the land data management module.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. The land delay package net sign system based on the satellite data right is characterized by comprising a land data collection module, a land data right analysis module, a land data management module, a land data query module, an abnormal land data processing module and a net sign module;
the land data collection module is mainly used for collecting land data and sending the land data to the land data right analysis module, wherein the land data comprises land history data and satellite data;
the land data right-of-weight analysis module is mainly used for comprehensively analyzing the input land data, so as to generate right-of-weight data, and transmitting the right-of-weight data to the land data management module;
the land data management module is mainly used for storing input right-determining data, generating net signature data according to the right-determining data, and sending the net signature data to the net signature module, wherein the net signature data comprises land right person identity data and right land division data;
the web sign module is mainly used for generating a web sign page with a specific label according to the input web sign data, the web sign page is used for enabling a right person to check the web sign data, and if the web sign data is wrong, an abnormal web sign warning is generated and sent to the land data query module for feedback;
The land data query module is mainly used for carrying out data query requests on the nettag data, receiving the abnormal nettag warning sent by the nettag module, generating a verification instruction according to the abnormal nettag warning, and sending the verification instruction to the land data management module;
the abnormal land data processing module is mainly used for analyzing the nettag data and the validation data which are called after the land data management module receives the validation instruction, generating a validation mark according to the data errors of the nettag data and the validation data, and sending the validation mark to the land data management module.
2. The satellite data-based land parcel net signature system according to claim 1, wherein the land history data is obtained by calling through a land data management module, the land history data comprises identity data and land attribution data, the identity data is identity information of land owners, the identity data comprises names, sexes, ages, birth dates and identity cards, the land attribution data comprises land use data, land right proving data, land history transaction data, land tax and property data and land use compliance data corresponding to the identity data, and the land use data comprises land areas, land uses and land block boundaries.
3. The land parcel net signature system based on satellite data validation, as claimed in claim 2, wherein said validation data comprises validation vector data and validation attribute data, wherein the validation vector data is satellite position data and satellite geographic boundary data of the corresponding parcel, and the validation attribute data is marked by data for the corresponding parcel;
the satellite data specifically comprises satellite position data and satellite geographic boundary data, and the satellite data acquisition steps are as follows:
step Q1, loading satellite images by using geographic information system software, manufacturing a topographic map layer, extracting topographic features by using a remote sensing image processing tool, creating elevation data by using a digital elevation model, importing land data provided by a natural resource planning bureau, superposing the land data with the topographic model, and generating a land block format file;
q2, using a flash frame of Python to receive uploading of the land parcel format file, extracting text information and position information, and analyzing the extracted information into processable position data;
q3, mapping the position data to coordinates on a terrain model by using a geographic coordinate conversion tool according to the analyzed position data, setting a data rule, and creating positions of identification points on the terrain model, wherein the data rule carries out mark point generation by using a land block boundary, and creates a mark point by using the mark point distance of each m meters;
And Q4, carrying out coordinate system calibration on the satellite image and the terrain model, detecting the land block boundary in the satellite image by using an edge detection algorithm, determining the geographic boundary data of the land block based on elevation information, carrying out line marking of the land block by using the determined land block boundary data, and establishing the relationship between the land block boundary data and the marking points.
And Q5, creating a map interface by using a map library, visualizing geographic data such as a terrain model, a land parcel boundary, an identification point and the like on the map, and setting a user interface to allow a user to view and interact with the geographic data and view detailed information of the land parcel.
4. The land parcel net signature system based on satellite data validation as defined in claim 3, wherein said land data validation analysis module performs a comprehensive analysis of land history data and satellite data, and the specific analysis steps are:
acquiring land attribution data of the identity data in the land historical data and corresponding to the identity data, analyzing land change conditions through land use data, land historical transaction data, land tax and property data and land use compliance data, generating change condition label data, and marking the condition source by the data;
And carrying out association analysis on the condition source data label and the satellite data, carrying out changed land block allocation processing, outputting the confirming data, and generating a satellite base map label on the satellite base map according to the confirming data.
5. The land parcel net signature system based on satellite data validation according to claim 4, wherein the land modification analysis step comprises a first analysis step, a second analysis step and a third analysis step, and the specific analysis flow is as follows:
the first analysis step is as follows;
analyzing land historical transaction data, which includes land buying and selling or transferring histories and land right change records, by taking the identity data as a change mark target, and if the identity data of the latest land buying and selling or transferring histories and land right change records are the same as the change mark target data or the land buying and selling or transferring histories and the land right change records are not stored, normally marking the change mark target by first historical data; if the stored identity data of the latest land buying and selling or transferring history record and the land right change record are different from the change mark target data, performing first history data abnormal marking;
The second analysis step is as follows;
the land use data comprises land area, land use and land block boundary, the land area in the land use data and the land buying and selling or transferring history record in the land historical transaction data are integrated and analyzed, and if the land area is the same as the land buying and selling or transferring history record in the land historical transaction data after final transferring, the second historical data is normally marked for the change marking target; if the land area is different from the land buying and selling or transferring records in the land historical transaction data, performing second historical data abnormal marking on the change marking target;
the third analysis step is as follows;
the land tax and property data includes land tax information and land evaluation value, and the land use compliance data includes land use license data and legal document data; carrying out integrated analysis on land tax information, land use permission data and legal document data, and if the change mark target pays land tax on time and has the land use permission data and the legal document data associated with the land use data, carrying out third historical data normal mark on the change mark target; and if the change mark target does not pay land tax on time or/and does not have land use permission data and legal document data associated with the land use data, carrying out third historical data normal marking on the change mark target.
6. The satellite data-based land parcel net signature system according to claim 5, wherein the first historical data abnormal signature, the first historical data normal signature, the second historical data abnormal signature, the second historical data normal signature, the third historical data abnormal signature and the third historical data normal signature are integrated and analyzed to generate change condition label data;
the change condition label data comprises a land high anomaly label, a land medium anomaly label and a land low anomaly label, the condition source labels comprise condition sources such as "# land owner anomaly #", "# land area anomaly #", "# land non-compliance use #", and the like, and the specific steps for generating the change condition label data are as follows:
if a single change mark target simultaneously has a first historical data abnormal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating a land height abnormal mark for the change mark target, and marking the change mark target with data of "# land owner abnormality #", "# land area abnormality #", "# land non-compliance use #", and the like;
If a single change mark target is provided with a first historical data abnormal mark, a second historical data abnormal mark and a third historical data normal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land weight person abnormal#" and "# land area abnormal#";
if a single change mark target is provided with a first historical data abnormal mark, a second historical data normal mark and a third historical data abnormal mark, generating an in-soil abnormal mark for the change mark target, and marking the change mark target by data according to the situation source of "# land authority abnormal #" and "# land non-compliance use #";
if a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data abnormal mark, generating an in-land abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land area abnormal #" and "# land non-compliance use #";
if a single change mark target has a first historical data abnormal mark, a second historical data normal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation source of "# land authority abnormal #";
If a single change mark target is provided with a first historical data normal mark, a second historical data abnormal mark and a third historical data normal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target with data according to the situation of "# land abnormal#";
if a single change mark target is provided with a first historical data normal mark, a second historical data normal mark and a third historical data abnormal mark, generating a land low abnormal mark for the change mark target, and marking the change mark target by data according to the situation of "# land non-compliance use #";
if a single change mark object is provided with a first history data normal mark, a second history data normal mark and a third history data normal mark, change condition label data is not generated for the change mark object, and condition source data of the change mark object is not marked.
7. The land parcel net signature system based on satellite data validation according to claim 6, wherein the data annotation is integrated with satellite position data and satellite geographic boundary data according to the condition marked by the single change mark target to generate validation data, and the step of generating the validation data comprises the following steps:
Cleaning condition origin data, ensuring data quality and consistency, associating satellite data with the condition origin data, and ensuring data matching; using a geographic information system tool or library to correlate satellite geographic boundary data with situation source data and dividing land parcels; combining or dividing each land parcel, classifying according to the condition marked by the data of the condition source, labeling each land parcel, and distributing corresponding land parcel labels for each land parcel according to the marking of the data of the condition source, wherein the land parcel labels specifically comprise land weight person abnormality, land area abnormality and land non-compliance use, and the land parcel labels are associated with the geographical position information of the land parcel so as to ensure that each land parcel has corresponding label information; labeling the entitlement data tags on the satellite base map using a mapping tool or library; labeling a user land block on the satellite base map, so that a farmer can intuitively see own land and related label information;
the generating logic of the satellite base map label is as follows:
if the single land block is marked by data in the conditions of "# land authority anomaly #", "# land non-compliance use #", generating satellite base map labels of the "land authority anomaly", "land area anomaly", "land non-compliance use", and the like for the satellite base map of the land block;
If the single land block has the condition sources such as "# land weight anomaly #" and "# land area anomaly #" marked by data, generating satellite base map labels of the "land weight anomaly" and "land area anomaly" for the satellite base map of the land block;
if the conditions such as "# land area abnormality #" and "# land non-compliance use #" exist in a single land block and are originally marked by data, generating satellite base map labels of the "land area abnormality" and "land non-compliance use" for the satellite base map of the land block;
if the single land block has the condition sources such as "# land owner anomaly #" and "# land non-compliance use #" marked by data, generating satellite base map labels of the "land owner anomaly" and "land non-compliance use" for the satellite base map of the land block;
if the condition source of the "# land owner anomaly # exists in the single land block and is marked by data, generating a satellite base map label of the" # land owner anomaly "for the satellite base map of the land block;
if the situation source of "# land area abnormality #" exists in a single land block is marked by data, generating a satellite base map label of "land area abnormality" for the satellite base map of the land block;
If the condition source of the "# land non-compliance use #" exists in a single land block and is marked by data, generating a satellite base map label of the "land non-compliance use";
if the single land block does not have the situation source marked by the data, generating a satellite base map label of normal land use state for the satellite base map of the land block.
8. The land parcel net signature system based on satellite data validation according to claim 7, wherein the land data management module converts the validation data into net signature data for client net signature, the generating step of net signature data is as follows:
the land data management module acquires the right vector data and the right attribute data, integrates and analyzes the right vector data and the right attribute data, and generates web tag data by combining satellite position data and satellite geographic boundary data of the land by using the integrated right data;
the web tag data comprises land rights person identity data and rights land division data:
the identification data of the land rights person specifically comprise names, sexes, ages, birth dates and identity cards, and the rights land dividing data comprise land areas, land use compliance and satellite map data of lands;
And using a proper tool or library to visually display the generated web tag data so that the rights-holder can intuitively know the situation of the land block owned by the rights-holder, mapping and displaying satellite map data and geographic position data of the land block on a map according to the proportion of 1:K, wherein K is an integer greater than 0.
9. The land parcel post system based on satellite data validation according to claim 8, wherein the land data query module comprises a post data query unit, the post data query unit is used for a land authority to perform a real-time query request on land data after signing the post data, and the query process specifically comprises the following steps of:
creating a user interface for a land owner to input a query request, wherein the interface can comprise input fields of query conditions, such as land block identification, owner identity information and the like, constructing a query interface, adding verification and input check to ensure that the information provided by a user is in a correct format, and sending the query instruction to a land data management module by using a proper communication protocol, wherein the query instruction comprises required query conditions and identifiers so that the land data management module can identify and process the request;
After receiving the inquiry request, the land data management module searches corresponding land data in the database according to the inquiry condition of the request, generates an inquiry result and returns the result to the nettag data inquiry unit, and after receiving the response of the land data management module, the nettag data inquiry unit displays the inquiry result on the user interface.
10. The land parcel net signature system based on satellite data validation according to claim 9, wherein the abnormal land processing module comprises an abnormal land verification unit and a verification identification matching unit, and the step of analyzing the validation data and net signature data by the abnormal land processing module is as follows:
the abnormal land verification unit receives corresponding web sign data and right-confirming data, integrates and analyzes the web sign data and the right-confirming data, and generates verification data for the verification instruction, wherein the verification data comprises correct verification data and error verification data, and the logic for analyzing the corresponding web sign data and right-confirming data is as follows;
if all the data in the web sign data and the right-confirming data are not matched, generating error verification data for the verification instruction; if all the data stored in the web sign data and the data in the right verification data are matched, generating correct verification data for the verification instruction;
The abnormal land verification unit sends verification data to the verification identifier matching unit, and generates a verification identifier for the verification instruction, wherein the logic generated by the verification identifier is as follows;
if the verification data is error verification data, generating an ' information error report ' mark for the verification instruction, and timely contacting with manual processing ' mark; if the verification data is correct verification data, generating an 'information error-free' mark for the verification instruction;
the verification mark matching unit sends the verification mark to the land data management module, the land data management module generates verification feedback data according to the verification mark, and the logic for generating the verification feedback data is as follows:
if the verification instruction has an information error report mark, generating verification feedback data of ' information error ' for the verification instruction, requesting to timely contact manual processing '; if the verification instruction has the 'information error-free' mark, generating 'information error-free' verification feedback data for the verification instruction, and carefully checking.
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