A real estate registration data abnormality identification and processing system

Abstract

The present invention discloses a real estate registration data anomaly identification and processing system, including: a feature extraction unit, a vector conversion unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an error verification unit, a data correction unit and a terminal monitoring unit; the data acquisition unit: is used for real-time collection of information data generated during the real estate registration data anomaly identification process, belonging to the field of real estate data anomaly identification technology. The system uses complex algorithms to comprehensively evaluate the data anomaly index to ensure the accuracy of the alarm, reduce false alarms and missed alarms, and effectively improve the efficiency of identifying real estate registration data anomalies. At the same time, through multi-dimensional feature extraction and vector conversion, combined with real-time data collection and analysis, it can automatically detect anomalies in identity information and photo features, trigger alarms in time and guide subsequent verification and correction, significantly reducing the risk of human errors and data tampering.

Description

Technical Field

[0001] The present invention relates to the technical field of real estate data anomaly identification, and more specifically discloses a real estate registration data anomaly identification and processing system. Background Art

[0002] Real estate registration data anomalies refer to abnormal situations such as errors, omissions, inconsistencies or illegal tampering of registration information due to various reasons during the real estate registration process. These anomalies may be caused by human errors in the data entry process, such as keyboard input errors, information misunderstanding or deliberate data falsification; or they may be due to system technical problems, such as database software vulnerabilities, data loss or damage during data migration, or data incompatibility during system upgrades. In addition, real estate registration data anomalies may also be related to delayed information updates, such as changes in land use and property transfers that are not accurately reflected in the registration system in the first place, resulting in data that does not match the actual situation.

[0003] Currently, the main way to identify anomalies in real estate registration data is through manual search. However, faced with massive amounts of real estate registration data, this method of manually identifying data anomalies is not only time-consuming and labor-intensive, but also easily affected by human factors, such as fatigue and lack of concentration, and thus fails to promptly and effectively discover anomalies in real estate registration data. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to solve the problem that currently, the anomalies of real estate registration data are mainly identified through manual search. However, in the face of massive real estate registration data, this method of manually identifying data anomalies is not only time-consuming and labor-intensive, but also easily affected by human factors, such as fatigue and lack of concentration, and thus cannot timely and effectively discover the anomalies of real estate registration data.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a real estate registration data anomaly identification and processing system includes: a feature extraction unit, a vector conversion unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an error verification unit, a data correction unit, and a terminal monitoring unit;

[0006] Feature extraction unit: used to extract the identity information of the real estate right holder and the feature information data on the ID card photo;

[0007] Vector conversion unit: used for converting the information data extracted by the feature extraction unit into vector information data;

[0008] Data collection unit: used for real-time collection of information data generated during the process of identifying abnormalities in real estate registration data;

[0009] Data transmission unit: used for real-time transmission of information data collected by the data collection unit;

[0010] Data storage unit: used to store the information data transmitted in real time by the data transmission unit;

[0011] Data processing unit: used to obtain and process the information data stored in the data storage unit, thereby obtaining the analysis results and forwarding the analysis results to the terminal monitoring unit;

[0012] Error verification unit: used to find out the specific reasons for the abnormality of real estate registration data when the result obtained by the data processing unit is abnormal;

[0013] Data correction unit: used to correct the real estate data according to the specific reasons for the abnormal real estate registration data found by the error verification unit;

[0014] Terminal monitoring unit: used to receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time and display them in real time on the terminal display screen. At the same time, when the results analyzed by the data processing unit are abnormal, an alarm is issued to the terminal device.

[0015] Furthermore, the data collection unit includes: an identity information collection module, an update collection module and a project collection module;

[0016] Identity information collection module: used to collect the identity information of the real estate right holder and the feature vector information data on the ID card photo in real time;

[0017] Update collection module: used to collect real estate data update time and update cycle information data in real time;

[0018] Project collection module: used for real-time collection of information data on the number of items filled in the real estate information registration form.

[0019] Furthermore, the data acquisition unit further includes: a coordinate acquisition module, an area acquisition module and a network acquisition module;

[0020] Coordinate collection module: used to collect coordinate information data of facial features on the ID card photo of the real estate right holder in real time;

[0021] Area collection module: used to collect the area information data of the nose on the ID card photo of the real estate right holder in real time;

[0022] Network collection module: used for real-time collection of bandwidth occupancy and network jitter information data of the network used for real estate registration.

[0023] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, and a result forwarding module;

[0024] Data acquisition module: used for real-time acquisition of information data stored in the data storage unit;

[0025] Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment;

[0026] Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the terminal monitoring unit.

[0027] Furthermore, the terminal monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module;

[0028] Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time;

[0029] Data display module: used to display the information data received by the data receiving module on the terminal display screen;

[0030] Abnormal alarm module: used to send an alarm prompt to the terminal device when the result obtained by the analysis and judgment module is abnormal.

[0031] Furthermore, the analysis and judgment module can obtain the feature vector of the identity information of the real estate right holder, the real estate data update time and update cycle, and the number of items filled in the real estate information registration form from the data acquisition module, and obtain the matching index of the identity information of the real estate right holder through the analysis of the above acquired data, if:

[0032] ;

[0033] This indicates that the identity information of the real estate right holder is relatively accurate, among which: is the matching index of the real estate right holder’s identity information, is the total number of feature extractions of the identity information of real estate rights holders, In the process of real estate data registration, the real estate right holder A digital vector transformed from identity feature information, In the original real estate data, the real estate right holder A digital vector transformed from identity feature information, In the process of real estate data registration, the real estate right holder The modulus of the digital vector transformed from identity feature information, In the original real estate data, the real estate right holder The modulus of the digital vector transformed from identity feature information, The number of days between the real estate data registration time and the most recent real estate data update time. The preset real estate data update cycle, The number of items actually filled in among the mandatory items in the real estate information registration form. is the total number of items to be filled in the real estate information registration form, is the threshold parameter of the preset identity information.

[0034] Furthermore, the analysis and judgment module can obtain the coordinates of the facial features on the ID card photo of the real estate right holder and the area information data of the nose on the ID card photo of the real estate right holder from the data acquisition module, and obtain the facial index of the real estate right holder through the above acquired data analysis, if:

[0035] ;

[0036] This means that the photo information on the real estate right holder’s ID card is relatively accurate. is the facial index of the real estate right holder, is the number of facial feature points on the ID card photo of the preset real estate right holder, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, is the area of ​​the nose in the ID card photo of the real estate right holder in the original real estate data, In the process of real estate data registration, the area of ​​the nose in the ID card photo of the real estate right holder is is the age of the real estate right holder at that time in the original real estate data, In the process of real estate data registration, the current age of the real estate right holder is is the preset conversion factor, It is the threshold coefficient of the preset real estate right holder’s face.

[0037] Furthermore, the analysis and judgment module can obtain the bandwidth occupancy rate and network jitter information data of the network used for real estate registration from the data acquisition module, and obtain the comprehensive abnormality index of real estate data registration through the above acquired data analysis, if:

[0038] ;

[0039] This shows that real estate data registration is relatively accurate, among which, The comprehensive anomaly index of real estate data registration, is the area of ​​the real estate at the time of real estate data registration, is the real estate area in the original real estate data, is the total data collection time, In the process of real estate data registration, the network used for registration is Bandwidth utilization per second, In the process of real estate data registration, the network used for registration is Seconds of network jitter, is the matching index of the real estate right holder’s identity information, is the facial index of the real estate right holder, It is the threshold coefficient of comprehensive anomaly of preset real estate data.

[0040] The beneficial effects of the real estate registration data anomaly identification and processing system of the present invention are as follows: the system uses complex algorithms to comprehensively evaluate the data anomaly index, ensure the accuracy of the alarm, reduce false alarms and missed alarms, and effectively improve the recognition efficiency of real estate registration data anomalies. At the same time, through multi-dimensional feature extraction and vector conversion, combined with real-time data collection and analysis, it can automatically detect anomalies in identity information and photo features, trigger alarms in time, and guide subsequent verification and correction, significantly reducing the risk of human error and data tampering. In addition, the real-time data reception and display function enables managers to quickly grasp the data status, facilitating timely response and handling of abnormal situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0042] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0043] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0044] According to one aspect of the present invention, Figure 1As shown, a real estate registration data anomaly identification and processing system is provided. First, the identity information of the real estate right holder and the feature information data on the ID card photo are extracted by a feature extraction unit, and then the information data extracted by the feature extraction unit is converted into vector information data by a vector conversion unit.

[0045] Then, through the identity information collection module, update collection module, project collection module, coordinate collection module, area collection module and network collection module in the data collection unit, the identity information of the real estate right holder and the feature vector on the ID card photo, the real estate data update time and update cycle, the number of items filled in the real estate information registration form, the coordinates of the facial features on the real estate right holder's ID card photo, the area of ​​the nose on the real estate right holder's ID card photo, the bandwidth occupancy rate of the network used for real estate registration, and the network jitter information data are collected in real time.

[0046] Then, the collected information data is transmitted and stored, and the information data is acquired and analyzed in real time through the data processing unit to obtain the analysis result. When the analysis result is abnormal, the abnormal alarm module will be triggered to send an alarm prompt to the terminal device, and then the specific cause of the abnormal real estate registration data will be found out through the error verification unit, and the real estate data will be corrected according to the specific cause of the abnormal real estate registration data found by the error verification unit through the data correction unit.

[0047] Afterwards, the data receiving module in the terminal monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the terminal display screen through the data display module.

[0048] The analysis and judgment module can obtain the feature vector of the identity information of the real estate right holder, the real estate data update time and update cycle, and the number of items filled in the real estate information registration form from the data acquisition module, and obtain the matching index of the identity information of the real estate right holder through the analysis of the above acquired data. If:

[0049] ;

[0050] This means that the identity information of the real estate right holder is relatively accurate. , it means that the identity information of the real estate right holder is abnormal, which will trigger the abnormal alarm module to send an alarm prompt to the terminal device, and then find out the specific cause of the abnormal real estate registration data through the error verification unit, focus on verifying the identity information of the real estate right holder, and correct the real estate data according to the specific cause of the abnormal real estate registration data found by the error verification unit through the data correction unit, among which, is the matching index of the real estate right holder’s identity information, is the total number of feature extractions of the identity information of real estate rights holders, In the process of real estate data registration, the real estate right holder A digital vector transformed from identity feature information, In the original real estate data, the real estate right holder A digital vector transformed from identity feature information, In the process of real estate data registration, the real estate right holder The modulus of the digital vector transformed from identity feature information, In the original real estate data, the real estate right holder The modulus of the digital vector transformed from identity feature information, The number of days between the real estate data registration time and the most recent real estate data update time. The preset real estate data update cycle, The number of items actually filled in among the mandatory items in the real estate information registration form. is the total number of items to be filled in the real estate information registration form, It is the threshold parameter of the preset identity information. During the data collection process, the number of days between the real estate data registration time and the last real estate data update time , preset real estate data update cycle , the total number of items to be filled in the real estate information registration form , the number of items actually filled in among the mandatory items in the real estate information registration form , the total number of feature extractions of real estate rights holder identity information , the threshold parameter of the preset identity information , , therefore, ,and , it means that the identity information of the real estate right holder is relatively accurate.

[0051] The analysis and judgment module can obtain the coordinates of the facial features of the real estate right holder on the ID card photo and the area information data of the nose on the ID card photo of the real estate right holder from the data acquisition module, and obtain the facial index of the real estate right holder through the above acquired data analysis, if:

[0052] ;

[0053] This means that the photo information on the real estate right holder’s ID card is relatively accurate. , it means that the photo information on the ID card of the real estate right holder is abnormal, which will trigger the abnormal alarm module to send an alarm prompt to the terminal device, and then find out the specific reason for the abnormality of the real estate registration data through the error verification unit, focus on verifying the photo on the ID card of the real estate right holder, and correct the real estate data according to the specific reason for the abnormality of the real estate registration data found by the error verification unit through the data correction unit, among which, is the facial index of the real estate right holder, is the number of facial feature points on the ID card photo of the preset real estate right holder, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, is the area of ​​the nose in the ID card photo of the real estate right holder in the original real estate data, In the process of real estate data registration, the area of ​​the nose in the ID card photo of the real estate right holder is is the age of the real estate right holder at that time in the original real estate data, In the process of real estate data registration, the current age of the real estate right holder is is the preset conversion factor, is the preset threshold coefficient of the real estate right holder’s face. During the data collection process, the number of facial feature points on the ID card photo of the real estate right holder is preset. In the original real estate data, the area of ​​the nose in the ID card photo of the real estate right holder is In the process of real estate data registration, the area of ​​the nose on the ID card photo of the real estate right holder is In the original real estate data, the age of the real estate right holder at that time In the process of real estate data registration, the current age of the real estate right holder , the preset conversion factor , the threshold coefficient of the preset real estate right holder's face , , therefore, , ,and , it means that the photo information on the real estate right holder’s ID card is more accurate.

[0054] The analysis and judgment module can obtain the bandwidth occupancy rate and network jitter information data of the network used for real estate registration from the data acquisition module, and obtain the comprehensive abnormality index of real estate data registration through the above acquired data analysis. If:

[0055] ;

[0056] This means that real estate data registration is relatively accurate. , it means that there is an abnormality in the real estate data registration, which will trigger the abnormal alarm module to send an alarm prompt to the terminal device, and then find out the specific cause of the abnormality of the real estate registration data through the error verification unit, and comprehensively verify the data information of the real estate registration, and correct the real estate data according to the specific cause of the abnormality of the real estate registration data found by the error verification unit through the data correction unit, among which, The comprehensive anomaly index of real estate data registration, is the area of ​​the real estate at the time of real estate data registration, is the real estate area in the original real estate data, is the total data collection time, In the process of real estate data registration, the network used for registration is Bandwidth utilization per second, In the process of real estate data registration, the network used for registration is Seconds of network jitter, is the matching index of the real estate right holder’s identity information, is the facial index of the real estate right holder, It is the threshold coefficient of the preset real estate data comprehensive anomaly. During the data collection process, the total data collection time , the real estate area at the time of real estate data registration , in the original real estate data, the real estate area , the preset threshold coefficient of comprehensive anomaly of real estate data , the matching index of the real estate right holder’s identity information , the facial index of the real estate right holder , , therefore, , ,and , it means that there is an abnormality in the real estate data registration, which will trigger the abnormal alarm module to send an alarm prompt to the terminal device, and then find out the specific cause of the abnormality in the real estate registration data through the error verification unit, and comprehensively verify the data information of the real estate registration. The real estate data is corrected through the data correction unit according to the specific cause of the abnormality in the real estate registration data found by the error verification unit.

[0057] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A real estate registration data anomaly identification and processing system, characterized in that: include: Feature extraction unit, vector conversion unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, error verification unit, data correction unit and terminal monitoring unit; Feature extraction unit: used to extract the identity information of the real estate right holder and the feature information data on the ID card photo; Vector conversion unit: used for converting the information data extracted by the feature extraction unit into vector information data; Data collection unit: used for real-time collection of information data generated during the process of identifying abnormalities in real estate registration data; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to obtain and process the information data stored in the data storage unit, thereby obtaining the analysis results and forwarding the analysis results to the terminal monitoring unit; Error verification unit: used to find out the specific reasons for the abnormality of real estate registration data when the result obtained by the data processing unit is abnormal; Data correction unit: used to correct the real estate data according to the specific reasons for the abnormal real estate registration data found by the error verification unit; Terminal monitoring unit: used to receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time and display them on the terminal display screen in real time. At the same time, when the analysis results obtained by the data processing unit are abnormal, an alarm is issued to the terminal device; The data processing unit includes: an analysis and judgment module, which is used to analyze and judge the information data acquired by the data acquisition module, so as to obtain the analysis and judgment result; The analysis and judgment module can obtain the feature vector of the identity information of the real estate right holder, the real estate data update time and update cycle, and the number of items filled in the real estate information registration form from the data acquisition module, and obtain the matching index of the identity information of the real estate right holder through the analysis of the above acquired data, if: ； This indicates that the identity information of the real estate right holder is relatively accurate, among which: is the matching index of the real estate right holder’s identity information, is the total number of feature extractions of the identity information of real estate rights holders, In the process of real estate data registration, the real estate right holder A digital vector transformed from identity feature information, In the original real estate data, the real estate right holder A digital vector transformed from identity feature information, In the process of real estate data registration, the real estate right holder The modulus of the digital vector transformed from identity feature information, In the original real estate data, the real estate right holder The modulus of the digital vector transformed from identity feature information, The number of days between the real estate data registration time and the most recent real estate data update time. The preset real estate data update cycle, The number of items actually filled in among the mandatory items in the real estate information registration form. is the total number of items to be filled in the real estate information registration form, is the threshold parameter of the preset identity information.

2. The real estate registration data anomaly identification and processing system according to claim 1 is characterized by: The data collection unit includes: an identity information collection module, an update collection module and a project collection module; Identity information collection module: used to collect the identity information of the real estate right holder and the feature vector information data on the ID card photo in real time; Update collection module: used to collect real estate data update time and update cycle information data in real time; Project collection module: used for real-time collection of information data on the number of items filled in the real estate information registration form.

3. The real estate registration data anomaly identification and processing system according to claim 2 is characterized in that: The data acquisition unit also includes: a coordinate acquisition module, an area acquisition module and a network acquisition module; Coordinate collection module: used to collect coordinate information data of facial features on the ID card photo of the real estate right holder in real time; Area collection module: used to collect the area information data of the nose on the ID card photo of the real estate right holder in real time; Network collection module: used for real-time collection of bandwidth occupancy and network jitter information data of the network used for real estate registration.

4. The real estate registration data anomaly identification and processing system according to claim 3 is characterized by: The data processing unit also includes: a data acquisition module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the terminal monitoring unit.

5. The real estate registration data anomaly identification and processing system according to claim 4 is characterized in that: The terminal monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the terminal display screen; Abnormal alarm module: used to send an alarm prompt to the terminal device when the result obtained by the analysis and judgment module is abnormal.

6. The real estate registration data anomaly identification and processing system according to claim 5 is characterized in that: The analysis and judgment module can obtain the coordinates of the facial features on the ID card photo of the real estate right holder and the area information data of the nose on the ID card photo of the real estate right holder from the data acquisition module, and obtain the facial index of the real estate right holder through the above acquired data analysis, if: ； This means that the photo information on the real estate right holder’s ID card is relatively accurate. is the facial index of the real estate right holder, is the number of facial feature points on the ID card photo of the preset real estate right holder, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the process of real estate data registration, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The horizontal coordinates of facial feature points, In the original real estate data, the nose of the real estate right holder’s ID card photo is the origin. The vertical coordinates of facial feature points, is the area of ​​the nose in the ID card photo of the real estate right holder in the original real estate data, In the process of real estate data registration, the area of ​​the nose in the ID card photo of the real estate right holder is is the age of the real estate right holder at that time in the original real estate data, In the process of real estate data registration, the current age of the real estate right holder is is the preset conversion factor, It is the threshold coefficient of the preset real estate right holder’s face.

7. The real estate registration data anomaly identification and processing system according to claim 6 is characterized by: The analysis and judgment module can obtain the bandwidth occupancy rate and network jitter information data of the network used for real estate registration from the data acquisition module, and obtain the comprehensive abnormality index of real estate data registration through the above acquired data analysis, if: ； This shows that real estate data registration is relatively accurate, among which, The comprehensive anomaly index of real estate data registration, is the area of ​​the real estate at the time of real estate data registration, is the real estate area in the original real estate data, is the total data collection time, In the process of real estate data registration, the network used for registration is Bandwidth utilization per second, In the process of real estate data registration, the network used for registration is Seconds of network jitter, is the matching index of the real estate right holder’s identity information, is the facial index of the real estate right holder, It is the threshold coefficient of comprehensive anomaly of preset real estate data.

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