Intelligent checking method for historical real estate remaining building

The intelligent verification method for real estate historical buildings addresses the challenges of identifying and classifying unique architectural styles and predicting degradation by ensuring secure registration and compliance, providing accurate data and early warnings for heritage building protection.

CN119168560AInactive Publication Date: 2024-12-20济南市不动产登记中心
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Patent Information

Application Number
CN202411007672.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-25
Publication Date
2024-12-20
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing systems face difficulties in automatically identifying and classifying the complexity of historical buildings with unique architectural styles and structural features, and predicting the nonlinear degradation patterns of heritage buildings, which affects their verification and protection.

Method used

An intelligent verification method for real estate historical buildings involving online registration, real-name authentication, comprehensive scoring, architectural classification, legal compliance assessment, and predictive vulnerability analysis to ensure accurate and secure registration and monitoring.

Benefits of technology

Enhances security and accuracy in user identity verification, provides accurate data support for heritage building evaluations, ensures compliance with protection laws, and offers early warning for potential vulnerabilities, facilitating timely maintenance and restoration.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a real estate historical left building intelligent verification method, and relates to the technical field of real estate registration, and the method comprises the steps: a user applies for real estate registration online, and carries out the real-name authentication through a face and a fingerprint after the registration succeeds; extracting data information from the online application of the user, and screening out the user meeting the historical legacy building checking qualification; collecting house resource information of the users conforming to the verification qualification, identifying styles of historical buildings, and performing classification and marking; evaluating whether the left building meets the requirements of protection regulations and policies, and evaluating the historical value of the building; through comprehensive evaluation, it is ensured that protection of the left building conforms to current laws and policies, meanwhile, the historical value of the building is quantified, and an important basis is provided for protection decision making; potential problems of the left building can be found and responded in time, the fragility of the building can be warned in advance through prediction analysis, and subsequent maintenance and repair are facilitated.
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Description

Technical Field

[0001] The present invention relates to the technical field of real estate registration, and more specifically, to an intelligent verification method for real estate historical buildings. Background Art

[0002] It should be noted that with the acceleration of urbanization and the enhancement of awareness of cultural heritage protection, the protection and management of real estate historical buildings has become an important task;

[0003] The Chinese patent application number 201811408610.X proposes a real estate registration system and a real estate registration method. The system includes a mobile terminal subsystem, a real estate business comprehensive service subsystem, a real estate enterprise management subsystem, a data analysis subsystem, a face recognition system, and a data interface. Users submit real estate registration applications through the mobile terminal subsystem and the real estate business comprehensive service subsystem. The data analysis subsystem reads data from various departments through the data interface and automatically completes related real estate registration business, realizing online acceptance, online review, offline registration, online reservation, and immediate pickup of real estate registration business, so that real estate registration business is open 24 hours a day, improving work efficiency and reducing business processing costs.

[0004] However, in the actual verification process, it is difficult to automatically identify and classify the complexity of historical buildings, as they often have unique architectural styles and structural features. In addition, the materials of heritage buildings age over time, and their degradation patterns may be nonlinear and difficult to predict, which affects the verification of heritage buildings. Summary of the invention

[0005] To solve the problem, the present invention provides an intelligent verification method for real estate historical buildings.

[0006] In order to achieve the above-mentioned purpose, a method for intelligent verification of historical buildings in real estate is provided, characterized in that it comprises the following steps:

[0007] Step 1: The user applies for real estate registration online, and after successful registration, the user undergoes real-name authentication through face and fingerprint;

[0008] Step 2: Extract data information from the user's online application and screen out users who meet the historical building inspection qualifications;

[0009] Step 3: Collect the house information of users who meet the verification qualifications, identify the style of the historical buildings, and classify and mark them;

[0010] Step 4: Assess whether the heritage buildings comply with the protection laws and policies, and assess the historical value of the buildings to determine whether the heritage buildings meet the registration requirements;

[0011] Step 5: After the user of the legacy building that meets the registration requirements pays the fee by himself, the electronic certificate and real estate certificate will be automatically generated for the housing mortgage and transaction business, the real estate registration business will be completed, and the completion information will be fed back to the user;

[0012] Step 6: Develop a long-term smart monitoring plan to predict and analyze the vulnerabilities of legacy buildings.

[0013] Preferably, the specific process of the user applying for real estate registration online is as follows:

[0014] Accessing the registration platform: Users access the online platform for real estate registration through a browser or mobile application;

[0015] Create an account: Users create an individual or group account on the platform and set a username and password;

[0016] Input information: Users input basic information, including name, contact information, ID number or organization code, etc., as well as building information and supporting documents submitted by users;

[0017] Submit application: After checking that the information filled in is correct, the user submits the registration application and waits for system review;

[0018] System audit: The system automatically compares information to check the integrity and compliance of uploaded files;

[0019] Only after the system review is passed will the user receive face and fingerprint verification for real-name authentication. After the real-name authentication is successful, the user completes the registration.

[0020] Preferably, the specific method of screening out users who meet the historical building inspection qualifications is as follows:

[0021] According to the formula Get the user's comprehensive verification score Q, where n is the number of factors affecting the comprehensive verification score Q, X i represents the score value of the i-th influencing factor, H i is the weight coefficient of the i-th influencing factor, and i is any integer from 1 to n;

[0022] A threshold for the user's comprehensive verification score is set in advance; the user's comprehensive verification score Q is compared with the comprehensive verification score threshold. If the user's comprehensive verification score Q is greater than the comprehensive verification score threshold, the user is marked as eligible for historical building verification; if the user's comprehensive verification score Q is less than the comprehensive verification score threshold, the user is marked as ineligible for historical building verification.

[0023] Preferably, n is 6, and the corresponding factors affecting the user comprehensive verification score Q are age score, style score, historical value score, protection status score, comprehensive safety score and user score;

[0024] Correspondingly, X1 represents the age score, X2 represents the style score, X3 represents the historical value score, X4 represents the protection status score, X5 represents the comprehensive safety score, and X6 represents the user score;

[0025] H1 represents the weight coefficient of the age score, H2 represents the weight coefficient of the style score, H3 represents the weight coefficient of the historical value score, H4 represents the weight coefficient of the protection status score, H5 represents the weight coefficient of the comprehensive safety score, and H6 represents the weight coefficient of the user score.

[0026] Preferably, the specific method of identifying the style of historical buildings, classifying and marking them is as follows:

[0027] Based on the building information submitted by the user, a quantitative score is given to the appearance characteristics of the building logged in by the user;

[0028] External features of buildings include roof type, wall decoration, building layout, material use and period features;

[0029] Assign a quantitative value to each appearance feature of the building submitted by the user, and obtain the quantitative value Y1 of the roof type, the quantitative value Y2 of the wall decoration, the quantitative value Y3 of the building layout, the quantitative value Y4 of the material usage, and the quantitative value Y5 of the era characteristics;

[0030] According to the formula P = (ω1*Y1) + (ω2*Y2) + (ω3*Y3) + (ω4*Y4) + (ω5*Y5), the style value P of the building logged in by the user is calculated, where ω1, ω2, ω3, ω4 and ω5 are preset weight coefficients;

[0031] A first range and a second range of style values ​​are set in advance. If the style value P of the building logged in by the user is within the first range, the building is marked as classical style. If the style value P of the building logged in by the user is within the second range, the building is marked as modern style. If the style value P of the building logged in by the user is within other ranges, the building is marked as mixed style.

[0032] Preferably, the specific method of identifying the style of historical buildings, classifying and marking them also includes:

[0033] For each region, define a feature vector of local architectural style Where L ky is the style value of the k-th building in the y-th region;

[0034] The building logged in by the user is represented by its feature vector Vector with local style of the area Calculate the similarity M F,Ly ;

[0035] All calculated similarity values ​​are normalized to obtain the influence factor of each local style;

[0036] The influencing factor with the largest value is selected as the factor that has the greatest impact on the local style of the area where the user's logged-in building is affected. The style value Pv of the building logged in by the user is obtained by multiplying the style value P of the building logged in by the factor with the greatest impact on the local style of the area, which integrates different regions and cultural backgrounds. The building is reclassified and marked according to the style value Pv.

[0037] Preferably, the specific method of determining whether the legacy building meets the registration requirements is as follows:

[0038] Define assessment criteria for legacy buildings;

[0039] Quantify the evaluation conditions according to the evaluation criteria;

[0040] Set a threshold for each quantitative condition; it should be noted that it represents the minimum standard that the building must meet on this indicator;

[0041] Calculate the score of each quantitative evaluation condition of the building logged in by the user, and add up the scores of all evaluation conditions to obtain a comprehensive score;

[0042] The combined score is compared to the set overall threshold to determine whether the building meets the registration requirements.

[0043] Preferably, the specific process of predicting and analyzing the vulnerability of legacy buildings is as follows:

[0044] Obtain the material aging index G1 of the building logged in by the user;

[0045] Obtain the structural damage index G2 of the building logged in by the user;

[0046] Obtain the environmental erosion index G3 of the building logged in by the user;

[0047] Obtain the historical maintenance record index G4 of the building logged in by the user; according to the formula The vulnerability B of the building logged in by the user is obtained, where φ1, φ2, φ3 and φ4 are the preset influence coefficients, and T is the total number of observation time points;

[0048] A vulnerability threshold is set in advance. If the vulnerability B of the building logged in by the user is greater than the threshold, it is marked as a dangerous building. Otherwise, it is marked as a normal building.

[0049] Preferably, the specific process of predicting and analyzing the vulnerability of legacy buildings also includes:

[0050] According to the formula Bz=(G1*α+G2)*(1+β*G4), the adjusted vulnerability Bz of the building logged in by the user is obtained, and the vulnerability judgment is performed based on the adjusted vulnerability Bz of the building logged in by the user, where α is the environmental factor adjustment coefficient and β is the historical maintenance adjustment coefficient.

[0051] Preferably, the environmental factor adjustment coefficient α and the historical maintenance adjustment coefficient β are obtained as follows:

[0052] For the environmental adjustment coefficient α, it is obtained by quantifying the impact of environmental factors on the building;

[0053] The historical maintenance adjustment coefficient β is quantified based on the quality, frequency and effect of historical maintenance records.

[0054] Beneficial effects: Real-name authentication combining face and fingerprint recognition enhances security and accuracy, ensuring the authenticity of user identities; large amounts of housing information can be processed quickly to provide accurate data support for subsequent evaluations;

[0055] Through comprehensive assessment, we ensure that the protection of heritage buildings complies with current laws and policies. At the same time, we quantify the historical value of the buildings, providing an important basis for protection decisions. This can help to promptly discover and respond to potential problems in heritage buildings. Predictive analysis can provide early warning of the vulnerability of buildings, which is conducive to subsequent maintenance and restoration. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a method diagram of the present invention. DETAILED DESCRIPTION

[0057] like Figure 1 As shown: A method for intelligent verification of historical buildings in real estate, characterized in that it includes the following steps:

[0058] It should be noted that with the acceleration of urbanization and the enhancement of awareness of cultural heritage protection, the protection and management of real estate historical buildings has become an important task. However, in the actual verification process, historical buildings often have unique architectural styles and structural characteristics, which make it difficult to automatically identify and classify the complexity of these buildings. In addition, the materials of the heritage buildings age over time, and their degradation patterns may be nonlinear and difficult to predict, which affects the verification of the heritage buildings;

[0059] Step 1: The user applies for real estate registration online, and after successful registration, the user undergoes real-name authentication through face and fingerprint recognition. It should be noted that real-name authentication combining face and fingerprint recognition enhances security and accuracy, and ensures the authenticity of the user's identity.

[0060] Step 2: Extract data information from the user's online application and screen out users who meet the historical building inspection qualifications; it should be noted that the intelligent screening mechanism ensures that only qualified users enter the next inspection stage, which improves efficiency;

[0061] Step 3: Collect the house information of users who meet the verification qualifications, identify the style of historical buildings, and classify and mark them; it should be noted that a large amount of house information can be processed quickly to provide accurate data support for subsequent evaluation;

[0062] Step 4: Evaluate whether the heritage buildings comply with the protection laws and policies, and evaluate the historical value of the buildings, so as to determine whether the heritage buildings meet the registration requirements; it should be noted that the comprehensive evaluation ensures that the protection of the heritage buildings complies with the current laws and policies, and at the same time quantifies the historical value of the buildings, providing an important basis for protection decisions;

[0063] Step 5: After the users of the legacy buildings that meet the registration requirements pay the fees by themselves, electronic certificates and real estate certificates are automatically generated for the housing mortgage and transaction business, the real estate registration business is completed, and the completion information is fed back to the users; it should be noted that the business processing speed is improved while ensuring the immediate feedback of information;

[0064] Step 6: Develop a long-term intelligent monitoring plan to predict and analyze the vulnerability of legacy buildings. It should be noted that it can help to timely discover and respond to potential problems of legacy buildings. Predictive analysis can provide early warning of building vulnerabilities, which is conducive to subsequent maintenance and repair.

[0065] As an optional embodiment: the specific process of the user applying for real estate registration online is as follows:

[0066] Accessing the registration platform: Users access the online platform for real estate registration through a browser or mobile application;

[0067] Create an account: Users create an individual or group account on the platform and set a username and password;

[0068] Input information: The user inputs basic information, including name, contact information, ID number or organization code, etc., and also includes the building information and certification documents submitted by the user; it should be noted that in this embodiment, the building information and certification documents include the following:

[0069] Building information: Building location: including detailed address and geographical location information;

[0070] Building dimensions: length, width, height and other dimensions;

[0071] Building age: the year or historical period in which the building was constructed;

[0072] Architectural style: the school or historical style of design of a building;

[0073] Building use: current use or historical main use;

[0074] Proof of building ownership: Real estate certificate: proves the user's ownership or right to use the building; Land use certificate: relevant documents proving the land use right.

[0075] Description of the current building status:

[0076] Structural Condition: The structural integrity and current state of the building;

[0077] Maintenance records: records of historical maintenance and repairs;

[0078] Legal Documents:

[0079] Planning permission: The legal permission document for planning and construction of a building;

[0080] Certification of conservation level: If applicable, provide the conservation level or historical heritage certificate of the building;

[0081] Proof of historical value:

[0082] Historical documents: Documents that record the history and cultural value of buildings;

[0083] Historical photos: photos or images that reflect the historical appearance of the building;

[0084] Environmental Impact Assessment:

[0085] Environmental assessment report: assess the possible impact of the building's surrounding environment on the building;

[0086] Building Safety Assessment:

[0087] Safety inspection report: a professional assessment report on the safety of the building structure;

[0088] Submit application: After checking that the information filled in is correct, the user submits the registration application and waits for system review;

[0089] System audit: The system automatically compares information to check the integrity and compliance of uploaded files;

[0090] Only after the system review is passed will the user receive face and fingerprint verification for real-name authentication. After the real-name authentication is successful, the user completes the registration.

[0091] As an optional embodiment: the specific method of screening out users who meet the historical building inspection qualifications is as follows:

[0092] According to the formula Get the user's comprehensive verification score Q, where n is the number of factors affecting the comprehensive verification score Q, X i represents the score value of the i-th influencing factor, H i is the weight coefficient of the i-th influencing factor, and i is any integer from 1 to n; it should be noted that screening users who meet the verification qualifications usually requires comprehensive consideration of multiple influencing factors, including but not limited to the age, style, historical value, legal protection status, etc. of the building, and obtaining a comprehensive verification score Q calculated by comprehensively considering multiple influencing factors to show whether the user meets the verification criteria;

[0093] A threshold value of the user's comprehensive verification score is set in advance; it should be noted that, in this embodiment, the threshold value of the user's comprehensive verification score can be obtained by collecting case data of historical buildings that have been successfully registered in the past, obtaining the corresponding comprehensive verification score, calculating the median or average of the total scores of successful cases in history, obtaining a preliminary threshold value, and multiplying the preliminary threshold value by the policy adjustment factor to obtain the threshold value of the user's comprehensive verification score. The policy adjustment factor is obtained according to local protection policies and regulations. For example, if the new policy pays more attention to the protection of modern historical buildings, the policy adjustment factor is correspondingly reduced. In the initial case, the policy adjustment factor is 1. In this embodiment, the policy adjustment factor can be 1.023;

[0094] The user's comprehensive verification score Q is compared with the comprehensive verification score threshold. If the user's comprehensive verification score Q is greater than the comprehensive verification score threshold, the user is marked as eligible for historical building verification. If the user's comprehensive verification score Q is less than the comprehensive verification score threshold, the user is marked as ineligible for historical building verification.

[0095] As an optional embodiment: n is 6, and the corresponding factors affecting the user comprehensive verification score Q are the age score, style score, historical value score, protection status score, comprehensive safety score and user score;

[0096] Correspondingly, X1 represents the age score, X2 represents the style score, X3 represents the historical value score, X4 represents the protection status score, X5 represents the comprehensive safety score, and X6 represents the user score; it should be noted that, in this embodiment, the age score is obtained according to the construction age of the building. The older the age, the higher the score. The specific calculation method can be obtained by subtracting the construction year of the building logged in by the user from the current year and then dividing it by the maximum possible year difference of the building, which can usually be set to the time span from the earliest known building construction year to the current year. The style score can be obtained by multiplying the rarity coefficient of the building logged in by the user by the representativeness coefficient, wherein the initial values ​​of the rarity coefficient and the representativeness coefficient are both 1, and the actual value is obtained through the evaluation of the corresponding staff. The higher the values ​​of the rarity coefficient and the representativeness coefficient, the higher the rarity and representativeness of the building logged in by the user. The historical price score can be obtained by multiplying the historical event coefficient of the building logged in by the user by the cultural impact coefficient. The initial values ​​of the historical event coefficient and the cultural impact coefficient are both 1, and the actual value is obtained through the evaluation of the corresponding staff. The historical event coefficient multiplied by the cultural impact coefficient represents the higher the historical influence and cultural influence of the building logged in by the user;

[0097] The protection status score, comprehensive safety score and user score are all obtained through preliminary evaluation by staff, where the initial values ​​of the protection status score, comprehensive safety score and user score are all 1, and the values ​​of the protection status score, comprehensive safety score and user score are 1 to 2, where the larger the protection status score, comprehensive safety score and user score, the higher the corresponding protection status, structural safety and user credibility;

[0098] H1 represents the weight coefficient of the age score, H2 represents the weight coefficient of the style score, H3 represents the weight coefficient of the historical value score, H4 represents the weight coefficient of the protection status score, H5 represents the weight coefficient of the comprehensive safety score, and H6 represents the weight coefficient of the user score. It should be noted that H1, H2, H3, H4, H5 and H6 represent the degree of influence of each influencing factor on the comprehensive verification score Q. In the initial case, the sum of H1, H2, H3, H4, H5 and H6 is equal to 1 and the values ​​of H1, H2, H3, H4, H5 and H6 are equal. In actual use, the staff adjusts H1, H2, H3, H4, H5 and H6 accordingly according to historical data. In this embodiment, the values ​​of H1, H2, H3, H4, H5 and H6 can be 0.129, 0.238, 0.198, 0.117, 0.192 and 0.126.

[0099] As an optional embodiment: the specific method of identifying the style of historical buildings, classifying and marking them is as follows:

[0100] Based on the building information submitted by the user, a quantitative score is given to the appearance characteristics of the building logged in by the user;

[0101] External features of buildings include roof type, wall decoration, building layout, material use and period features;

[0102] A quantitative value is assigned to each appearance feature of the building submitted by the user, and a quantitative value Y1 of the roof type, a quantitative value Y2 of the wall decoration, a quantitative value Y3 of the building layout, a quantitative value Y4 of the material use, and a quantitative value Y5 of the era characteristics are obtained; it should be noted that the building information submitted by the user also includes the photo information of the building. In this embodiment, a specific way of assigning a quantitative value to each appearance feature of the building submitted by the user is as follows: for the roof type, the flat roof is 1, the slope roof is 2, and the dome is 3; for the wall decoration, the no decoration is 0, the simple decoration is 1, and the complex decoration is 2; for the building layout, the symmetrical building is 1, the asymmetrical building is 2, and the courtyard layout is 3; for the material use, the stone material is 1, the brick material is 2, the wood material is 3, and the comprehensive multiple materials is 4; for the era characteristics, the modernist building is 1, the classical Chinese building is 2, and other styles (such as Gothic and Baroque) are 3;

[0103] It should also be noted that quantifying the characteristic information of buildings is conducive to the subsequent classification of architectural styles;

[0104] According to the formula P=(ω1*Y1)+(ω2*Y2)+(ω3*Y3)+(ω4*Y4)+(ω5*Y5), the style value P of the building logged in by the user is calculated, where ω1, ω2, ω3, ω4 and ω5 are preset weight coefficients; it should be noted that, in this embodiment, the values ​​of ω1, ω2, ω3, ω4 and ω5 can be 0.156, 0.223, 0.167, 0.178 and 0.276;

[0105] A first range and a second range of style values ​​are set in advance. If the style value P of the building logged in by the user is within the first range, the building is marked as classical style. If the style value P of the building logged in by the user is within the second range, the building is marked as modern style. If the style value P of the building logged in by the user is within other ranges, the building is marked as mixed style. It should be noted that in this implementation, a label can also be defined for each category, such as classical style 1 or modern style 3, and then the first range and the second range are subdivided; it should also be noted that the first range and the second range are set by the staff;

[0106] A large amount of property information can be quickly classified and processed to provide accurate data support for subsequent evaluations.

[0107] As an optional embodiment: the specific method of identifying the style of historical buildings, classifying and marking them also includes: It should be noted that in the actual classification process, the architectural styles in different regions and cultural backgrounds may be different, so regional characteristics and cultural differences should be considered in application;

[0108] For each region, define a feature vector of local architectural style Where L ky is the style value of the k-th building in the y-th region;

[0109] The building logged in by the user is represented by its feature vector Vector with local style of the area Calculate the similarity M F,Ly ; It should be noted that through the vector and vector Divide the product by the vector and vector The Euclidean norm of , that is, the length of the vector, is obtained;

[0110] All calculated similarity values ​​are normalized to obtain the influence factor of each local style. It should be noted that the purpose of normalization is to ensure that the sum of all influence factors is 1, so that they can be regarded as probability distributions or weights.

[0111] The influencing factor with the largest value is selected as the factor that has the greatest impact on the local style of the area where the user's logged-in building is affected. The style value Pv of the building logged in by the user is obtained by multiplying the style value P of the building logged in by the factor with the greatest impact on the local style of the area, which integrates different regions and cultural backgrounds. The building is reclassified and marked according to the style value Pv.

[0112] As an optional embodiment: the specific method of determining whether the legacy building meets the registration requirements is as follows:

[0113] Defining evaluation criteria for legacy buildings; It should be noted that, in this embodiment, specific conditions for determining compliance with protection laws and policies (e.g., whether it is listed as a historical site, whether it meets specific protection standards, etc.) can be used to determine specific conditions for evaluating the historical value of a building (e.g., the age of the building, historical events, cultural impact, etc.);

[0114] Quantify the evaluation conditions according to the evaluation criteria; it should be noted that, in this embodiment, each evaluation condition is converted into a quantifiable indicator (for example, age score, number of historical events, cultural impact level, etc.);

[0115] Set a threshold for each quantitative condition; it should be noted that it represents the minimum standard that the building must meet on this indicator;

[0116] Calculate the score of each quantitative evaluation condition of the user's login building, and add up the scores of all evaluation conditions to obtain a comprehensive score; it should be noted that, for example, assume that we have the following three evaluation conditions:

[0117] Building age: 1 point if more than 100 years old, otherwise 0 points;

[0118] Historical events: 1 point if related to at least two important historical events, otherwise 0 points;

[0119] Cultural impact: 1 point if there is significant cultural impact, otherwise 0 point;

[0120] The combined score is compared to the set total threshold to determine whether the building meets the registration requirements. It should be noted that the total threshold is set at 2 points. If a building is 150 years old, is related to three important historical events, and has a significant cultural impact, its combined score will be 3 points (1 point for each condition), and therefore meets the registration requirements.

[0121] As an optional embodiment: the specific process of predicting and analyzing the vulnerability of legacy buildings is as follows:

[0122] Obtain the material aging index G1 of the building logged in by the user; it should be noted that it is an arbitrary integer from 1 to 10, and relevant adjustments are made according to the influence of material aging;

[0123] The structural damage index G2 of the building logged in by the user is obtained; it should be noted that it is an arbitrary integer from 1 to 10, and relevant adjustments are made according to the impact of the structural damage;

[0124] Obtain the environmental erosion index G3 of the building logged in by the user; it should be noted that it is an arbitrary integer from 1 to 10, and is adjusted according to the influence of environmental factors;

[0125] Obtain the historical maintenance record index G4 of the building logged in by the user; it should be noted that it is an arbitrary integer from 1 to 10, and is adjusted according to the impact of the historical maintenance record;

[0126] According to the formula The vulnerability B of the building logged in by the user is obtained, where φ1, φ2, φ3 and φ4 are preset influence coefficients, and T is the total number of observation time points; it should be noted that it reflects the relative importance of each indicator to the vulnerability. These coefficients can be obtained through expert scoring or data analysis. In this embodiment, the values ​​of φ1, φ2, φ3 and φ4 can be 0.129, 0.371, 0.207 and 0.293;

[0127] A vulnerability threshold is set in advance. If the vulnerability B of the building logged in by the user is greater than the threshold, it is marked as a dangerous building. Otherwise, it is marked as a normal building. It should be noted that the vulnerability of the building can be obtained based on the historical data of the building, and provide a scientific basis for subsequent protection and restoration work.

[0128] As an optional embodiment: the specific process of predicting and analyzing the fragility of the legacy building also includes: It should be noted that the fragility of the building also needs to be adjusted according to environmental factors and historical maintenance;

[0129] According to the formula Bz=(G1*α+G2)*(1+β*G4), the adjusted vulnerability Bz of the building logged in by the user is obtained, and the vulnerability judgment is made based on the adjusted vulnerability Bz of the building logged in by the user, where α is the environmental factor adjustment coefficient and β is the historical maintenance adjustment coefficient. It should be noted that for environmental factors, an adjustment coefficient α can be introduced to reflect the impact of the environment on the vulnerability of the building;

[0130] For historical repairs, an adjustment coefficient β can be introduced to reflect the improvement or deterioration of the repair on the building's vulnerability.

[0131] As an optional embodiment: the environmental factor adjustment coefficient α and the historical maintenance adjustment coefficient β are obtained as follows:

[0132] For the environmental adjustment coefficient α, it is obtained by quantifying the impact of environmental factors on the building;

[0133] The historical maintenance adjustment coefficient β is obtained by quantification based on the quality, frequency and effect of the historical maintenance records. It should be noted that in this embodiment, the specific quantification method can be: environmental factor classification: the environmental factors affecting the building are divided into several categories, such as humidity, temperature, ultraviolet radiation, chemical pollution, biological erosion and other environmental impact scores. For historical maintenance records, it can be: collect the historical maintenance records of the building, including maintenance date, maintenance type, maintenance scope, materials used, construction quality and other information, and set a scoring system for each type of environmental factor, which can usually range from 0 to 1, where 0 means no impact and 1 means extremely negative impact;

[0134] Regularly measure or record the actual impact of each environmental factor or historical maintenance; calculate the weighted impact: calculate the weighted impact value based on the specific impact of each environmental factor or historical maintenance on the building. If there are multiple factors, the product or maximum value of their impact can be taken as the quantitative value of the environmental impact.

[0135] The conversion of the weighted impact value into the environmental adjustment coefficient α or the historical maintenance adjustment coefficient β can be achieved through a linear or nonlinear mapping function, ensuring that the value is between -1 and 1, with a positive value indicating enhanced vulnerability and a negative value indicating reduced vulnerability. In this embodiment, the value of the environmental adjustment coefficient α is 0.238 and the value of the historical maintenance adjustment coefficient β can be 0.856.

[0136] Working principle:

[0137] Real-name authentication combining face and fingerprint recognition enhances security and accuracy, ensuring the authenticity of the user's identity; it can quickly process a large amount of housing information to provide accurate data support for subsequent evaluations;

[0138] Through comprehensive assessment, we ensure that the protection of heritage buildings complies with current laws and policies. At the same time, we quantify the historical value of the buildings, providing an important basis for protection decisions. This can help to promptly discover and respond to potential problems in heritage buildings. Predictive analysis can provide early warning of the vulnerability of buildings, which is conducive to subsequent maintenance and restoration.

[0139] The above are only preferred implementations of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technical staff in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of this template.

Claims

1. An intelligent verification method for historical buildings in real estate, characterized in that: The following steps are involved: Step 1: The user applies for real estate registration online, and after successful registration, the user undergoes real-name authentication through face and fingerprint; Step 2: Extract data information from the user's online application and screen out users who meet the historical building inspection qualifications; Step 3: Collect the house information of users who meet the verification qualifications, identify the style of the historical buildings, and classify and mark them; Step 4: Assess whether the heritage buildings comply with the protection laws and policies, and assess the historical value of the buildings to determine whether the heritage buildings meet the registration requirements; Step 5: After the user of the legacy building that meets the registration requirements pays the fee by himself, the electronic certificate and real estate certificate will be automatically generated for the housing mortgage and transaction business, the real estate registration business will be completed, and the completion information will be fed back to the user; Step 6: Develop a long-term smart monitoring plan to predict and analyze the vulnerabilities of legacy buildings.

2. According to claim 1, a method for intelligent verification of historical buildings in real estate is characterized in that: The specific process of the user applying for real estate registration online is as follows: Accessing the registration platform: Users access the online platform for real estate registration through a browser or mobile application; Create an account: Users create an individual or group account on the platform and set a username and password; Input information: Users input basic information, including name, contact information, ID number or organization code, etc., as well as building information and supporting documents submitted by users; Submit application: After checking that the information filled in is correct, the user submits the registration application and waits for system review; System audit: The system automatically compares information to check the integrity and compliance of uploaded files; Only after the system review is passed will the user receive face and fingerprint verification for real-name authentication. After the real-name authentication is successful, the user completes the registration.

3. According to claim 1, a method for intelligent verification of historical buildings in real estate is characterized in that: The specific method of screening out users who meet the historical building verification qualifications is as follows: According to the formula Get the user's comprehensive verification score Q, where n is the number of factors affecting the comprehensive verification score Q, X i represents the score value of the i-th influencing factor, H i is the weight coefficient of the i-th influencing factor, and i is any integer from 1 to n; A threshold for the user's comprehensive verification score is set in advance; The user's comprehensive verification score Q is compared with the comprehensive verification score threshold. If the user's comprehensive verification score Q is greater than the comprehensive verification score threshold, the user is marked as eligible for historical building verification. If the user's comprehensive verification score Q is less than the comprehensive verification score threshold, the user is marked as ineligible for historical building verification.

4. The intelligent verification method for historical buildings in real estate according to claim 3 is characterized in that: The n is 6, and the corresponding factors affecting the user comprehensive verification score Q are the age score, style score, historical value score, protection status score, comprehensive safety score and user score; Correspondingly, X1 represents the age score, X2 represents the style score, X3 represents the historical value score, X4 represents the protection status score, X5 represents the comprehensive safety score, and X6 represents the user score; H1 represents the weight coefficient of the age score, H2 represents the weight coefficient of the style score, H3 represents the weight coefficient of the historical value score, H4 represents the weight coefficient of the protection status score, H5 represents the weight coefficient of the comprehensive safety score, and H6 represents the weight coefficient of the user score.

5. The intelligent verification method for historical buildings in real estate according to claim 1 is characterized in that: The specific methods for identifying the styles of historical buildings, classifying and marking them are as follows: Based on the building information submitted by the user, a quantitative score is given to the appearance characteristics of the building logged in by the user; External features of buildings include roof type, wall decoration, building layout, material use and period features; Assign a quantitative value to each appearance feature of the building submitted by the user, and obtain the quantitative value Y1 of the roof type, the quantitative value Y2 of the wall decoration, the quantitative value Y3 of the building layout, the quantitative value Y4 of the material usage, and the quantitative value Y5 of the era characteristics; According to the formula P = (ω1*Y1) + (ω2*Y2) + (ω3*Y3) + (ω4*Y4) + (ω5*Y5), the style value P of the building logged in by the user is calculated, where ω1, ω2, ω3, ω4 and ω5 are preset weight coefficients; A first range and a second range of style values ​​are set in advance. If the style value P of the building logged in by the user is within the first range, the building is marked as classical style. If the style value P of the building logged in by the user is within the second range, the building is marked as modern style. If the style value P of the building logged in by the user is within other ranges, the building is marked as mixed style.

6. The intelligent verification method for historical buildings in real estate according to claim 5 is characterized in that: The specific methods of identifying the styles of historical buildings, classifying and marking them also include: For each region, define a feature vector of local architectural style Where L ky is the style value of the k-th building in the y-th region; The building logged in by the user is represented by its feature vector Vector with local style of the area Calculate the similarity M F,Ly ; All calculated similarity values ​​are normalized to obtain the influence factor of each local style; The influencing factor with the largest value is selected as the factor that has the greatest impact on the local style of the area where the user's logged-in building is affected. The style value Pv of the building logged in by the user is obtained by multiplying the style value P of the building logged in by the factor with the greatest impact on the local style of the area, which integrates different regions and cultural backgrounds. The building is reclassified and marked according to the style value Pv.

7. The intelligent verification method for historical buildings in real estate according to claim 1 is characterized in that: The specific method for determining whether the legacy buildings meet the registration requirements is as follows: Define assessment criteria for legacy buildings; Quantify the evaluation conditions according to the evaluation criteria; Set a threshold for each quantitative condition; it should be noted that it represents the minimum standard that the building must meet on this indicator; Calculate the score of each quantitative evaluation condition of the building logged in by the user, and add up the scores of all evaluation conditions to obtain a comprehensive score; The combined score is compared to the set overall threshold to determine whether the building meets the registration requirements.

8. The intelligent verification method for historical buildings in real estate according to claim 1 is characterized in that: The specific process of predicting and analyzing the vulnerability of legacy buildings is as follows: Obtain the material aging index G1 of the building logged in by the user; Obtain the structural damage index G2 of the building logged in by the user; Obtain the environmental erosion index G3 of the building logged in by the user; Obtain the historical maintenance record index G4 of the building logged in by the user; according to the formula The vulnerability B of the building logged in by the user is obtained, where φ1, φ2, φ3 and φ4 are the preset influence coefficients, and T is the total number of observation time points; A vulnerability threshold is set in advance. If the vulnerability B of the building logged in by the user is greater than the threshold, it is marked as a dangerous building. Otherwise, it is marked as a normal building.

9. The intelligent verification method for historical buildings in real estate according to claim 8 is characterized in that: The specific process of predicting and analyzing the vulnerability of legacy buildings also includes: According to the formula Bz=(G1*α+G2)*(1+β*G4), the adjusted vulnerability Bz of the building logged in by the user is obtained, and the vulnerability judgment is performed based on the adjusted vulnerability Bz of the building logged in by the user, where α is the environmental factor adjustment coefficient and β is the historical maintenance adjustment coefficient.

10. The intelligent verification method for historical buildings in real estate according to claim 9 is characterized in that: The environmental factor adjustment coefficient α and the historical maintenance adjustment coefficient β are obtained as follows: For the environmental adjustment coefficient α, it is obtained by quantifying the impact of environmental factors on the building; The historical maintenance adjustment coefficient β is quantified based on the quality, frequency and effect of historical maintenance records.

Citation Information

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