Real estate registration system and real estate registration method

By integrating multi-source data, managing smart contracts, conducting AI audits, and utilizing blockchain technology, the problems of data accuracy and security in traditional real estate registration have been solved, enabling efficient, secure, and transparent digital management of real estate registration.

CN120952683APending Publication Date: 2025-11-14ZHEJIANG HAILANG SOFTWARE DEVELOPMENT CO LTD
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Patent Information

Application Number
CN202510776172.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Traditional real estate registration suffers from cumbersome registration processes, delayed data updates, information silos, susceptibility to tampering, complex and inefficient procedures for changing ownership, and a lack of effective intelligent verification mechanisms, making it difficult to guarantee the accuracy and security of data.

Method used

It employs a multi-source data fusion module, a smart contract management module, an AI-assisted auditing module, a distributed ledger storage module, a dynamic ownership management module, and a security and privacy protection module, combined with blockchain technology and artificial intelligence, to achieve automatic collection, intelligent auditing, data transparency, and security of real estate information.

Benefits of technology

It has improved the accuracy and security of real estate registration, reduced the risk of human error and fraud, enhanced the automation and intelligence of the system, and met the needs of modern digital management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of real estate registration, and discloses a real estate registration system and a real estate registration method. Comprising a multi-source data fusion module, an intelligent contract management module, an artificial intelligence auxiliary auditing module, a distributed account book storage module, an ownership dynamic management module, a user interaction and multi-channel access module and a security and privacy protection module. According to the real estate registration system and method provided by the invention, advanced technologies such as multi-source data fusion, artificial intelligence auxiliary auditing, block chain intelligent contracts and distributed account books are innovatively and organically combined, so that the collection accuracy of real estate space ownership information and the intelligent level of registration auditing are improved; and security, transparency and non-tampering property of the registered data are ensured through a block chain technology. And due to the introduction of the dynamic ownership management module, real-time tracking and abnormal early warning of an ownership state are realized, and the risk prevention and control capability of the system is greatly enhanced.
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Description

Technical Field

[0001] This invention relates to the field of real estate registration technology, specifically to a real estate registration system and a real estate registration method. Background Technology

[0002] As a fundamental function of land management and real estate transactions, real estate registration is crucial for the protection of property rights, the rational use of land resources, and the stable development of the social economy. Traditional real estate registration relies heavily on manual data entry and paper-based record management, resulting in cumbersome procedures, delayed data updates, information silos, and susceptibility to tampering, making it difficult to meet the demands of modern digital and intelligent management.

[0003] With the development of remote sensing technology, drone aerial photography, and geographic information system (GIS) technology, obtaining spatial location and boundary information of real estate has become more convenient and accurate. However, how to efficiently integrate multi-source heterogeneous spatial data to accurately confirm real estate boundaries remains a significant challenge for current technologies. Furthermore, changes in ownership information during the registration process involve multiple parties. Traditional ownership transfer procedures are complex, inefficient, and susceptible to risks of human tampering and operational errors, seriously affecting the authenticity of registration data and the security of ownership.

[0004] In recent years, blockchain technology has garnered widespread attention and has been explored for application in the field of real estate registration due to its decentralized, immutable, and smart contract-automatic execution characteristics. Blockchain technology enables distributed storage and multi-party consensus of registration information, ensuring data transparency and security. However, the accuracy and authenticity of data in blockchain technology rely heavily on the front-end data collection and verification processes. Without an effective intelligent verification mechanism, it remains difficult to prevent forged registrations and ownership disputes.

[0005] Artificial intelligence technology, especially deep learning, has shown great potential in pattern recognition and risk prediction, providing new solutions for anomaly detection and ownership dispute prediction in real estate registration. Combining AI-assisted review can effectively improve the quality of registration data and risk control capabilities, reducing registration disputes and legal risks.

[0006] Furthermore, with the improvement of informatization levels, the public has placed higher demands on the convenience and privacy protection of real estate registration services. Multi-channel user interaction methods and intelligent service approaches are gradually becoming key to improving user experience. At the same time, with increasingly stringent personal information protection regulations, how to achieve legal and compliant data access and auditing while ensuring data security and privacy has become an important consideration in system design. Summary of the Invention

[0007] (a) Technical problems to be solved

[0008] To address the shortcomings of existing technologies, this invention provides a real estate registration system and a method for real estate registration, in order to solve the aforementioned problems.

[0009] (II) Technical Solution

[0010] To achieve the above objectives, the present invention provides the following technical solution: a real estate registration system, comprising:

[0011] The multi-source data fusion module is used to automatically collect and fuse spatial location, boundary and ownership information of real estate from satellite remote sensing data, UAV aerial photography, geographic information system (GIS) and government-related databases;

[0012] The smart contract management module, based on blockchain technology, enables the automatic execution of ownership changes and the triggering of smart contracts during the real estate registration process, ensuring the automation and immutability of registration transactions.

[0013] The AI-assisted review module uses machine learning models to automatically detect anomalies, predict ownership disputes, and assess risks in the collected real estate information.

[0014] The distributed ledger storage module uses blockchain distributed ledger technology to store real estate registration information, ensuring data transparency and tamper-proofness.

[0015] The ownership dynamic management module tracks changes in real-time property ownership status and supports historical tracing and dynamic updates of the ownership chain.

[0016] The user interaction and multi-channel access module supports access and operation via multiple channels, including web, mobile, and government service terminals.

[0017] The security and privacy protection module combines zero-knowledge proofs and multi-party secure computation technologies to ensure user privacy and data access security.

[0018] Preferably, the multi-source data fusion module establishes a spatial data model to achieve automatic alignment and boundary reconstruction of heterogeneous data, thereby improving the accuracy of real estate boundary confirmation.

[0019] Preferably, the smart contract management module includes:

[0020] A contract template library is used to store various smart contract templates related to real estate registration.

[0021] The contract automatic generation unit automatically generates corresponding smart contracts based on the transaction type and ownership change requirements.

[0022] The contract execution engine automatically executes smart contract content and synchronously updates the blockchain ledger.

[0023] Preferably, the AI-assisted review module is based on a trained deep learning model and can identify forged land ownership certificates, duplicate registrations, and potential legal disputes.

[0024] Preferably, the distributed ledger storage module includes:

[0025] Multi-node storage units are distributed across multiple geographically different nodes and employ the Byzantine fault-tolerant consensus algorithm to achieve high data availability and tamper-proof data.

[0026] Data fragmentation and encryption units logically fragment real estate registration data for encrypted storage, improving storage efficiency and ensuring data security;

[0027] Version control unit supports multi-version management of real estate registration information, ensuring the complete preservation and traceability of historical registration records;

[0028] The state synchronization unit is responsible for the real-time synchronization of the ledger state among the nodes, ensuring the consistency of the distributed ledger data.

[0029] Preferably, the dynamic ownership management module includes:

[0030] The ownership event monitoring unit monitors real-time events related to real estate ownership, such as transactions, changes, mortgages, and cancellations.

[0031] The ownership status update unit automatically updates the ownership status information based on the monitored events to ensure the real-time nature of the ownership status.

[0032] The ownership chain management unit constructs an ownership change chain, supporting historical tracing and accountability for ownership changes;

[0033] The abnormal change alarm unit detects abnormal ownership change behavior based on the rule engine, provides timely warnings, and triggers manual intervention.

[0034] Preferably, the user interaction and multi-channel access module includes:

[0035] The multi-terminal interface unit supports multiple access methods, including web browsers, mobile applications, and government self-service terminals, enabling cross-platform operation.

[0036] The self-service unit provides services such as real estate registration application, status inquiry, ownership certificate printing and online consultation.

[0037] The intelligent customer service unit, based on natural language processing technology, supports automatic identification and intelligent response to user questions, thereby improving user experience;

[0038] Access control unit, which combines identity authentication and role-based access management, ensures fine-grained control over the access permissions of different users;

[0039] The interactive log recording unit records user operations and system responses to meet the needs of security auditing and service quality analysis.

[0040] Preferably, the security and privacy protection module adopts zero-knowledge proof technology to protect the privacy of user identity and ownership information, while supporting compliant data access auditing.

[0041] Preferably, a method for registering real estate includes the following steps:

[0042] Step A: Automatically collect and integrate multi-source spatial and ownership data to construct a real estate spatial ownership model;

[0043] Step B involves applying an artificial intelligence model to perform anomaly detection and risk assessment on the collected data.

[0044] Step C: Automatically generate a ownership transfer contract based on the smart contract and submit it to the blockchain network for consensus confirmation;

[0045] Step D: After the blockchain network reaches a consensus, it automatically executes the smart contract to update the real estate registration information in the distributed ledger.

[0046] Step E: Dynamically synchronize ownership information to the ownership dynamic management module to achieve real-time updates of ownership status and historical tracing;

[0047] Step F: Users query or submit registration applications through multiple channels, and the system responds according to access control and privacy protection policies.

[0048] Step G involves using zero-knowledge proof technology to protect user identity and conduct compliance audits on data access.

[0049] Preferably, in step B, the artificial intelligence model predicts the probability of ownership disputes that may arise from the registration application based on historical registration data and judicial precedents, and automatically triggers manual review for high-risk applications;

[0050] In step C, the smart contract supports a joint signing mechanism involving multiple parties to ensure the authorization and security of ownership transfer transactions.

[0051] Compared with the prior art, the present invention provides a real estate registration system and a real estate registration method, which have the following beneficial effects:

[0052] The real estate registration system and method proposed in this invention innovatively combine advanced technologies such as multi-source data fusion, artificial intelligence-assisted review, blockchain smart contracts, and distributed ledgers. This not only improves the accuracy of real estate spatial ownership information collection and the intelligence level of registration review, but also ensures the security, transparency, and immutability of registration data through blockchain technology. The introduction of a dynamic ownership management module enables real-time tracking and anomaly warning of ownership status, greatly enhancing the system's risk prevention and control capabilities.

[0053] Furthermore, multi-channel user interaction and a robust security and privacy protection mechanism effectively enhance user experience and system compliance, meeting the demands of modern digital government for efficient, secure, and transparent real estate registration services. This system and method not only improve the automation and intelligence of real estate registration and reduce the risks of human error and fraud, but also promote the openness and transparency of real estate registration information and the construction of a social credit system, possessing broad application prospects and significant socio-economic value.

[0054] Therefore, this invention provides a technologically advanced, fully functional, and secure solution for the field of real estate registration, which helps to promote the digital transformation of real estate registration business and the construction of smart government, and promotes the scientific, standardized, and rule-of-law development of land resource management. Attached Figure Description

[0055] Figure 1 This is a schematic diagram showing the connection relationship between the modules of the present invention;

[0056] Figure 2 This is a schematic diagram of the steps of the real estate registration method of the present invention. Detailed Implementation

[0057] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. Obviously, the described embodiments are only a part of the embodiments of the invention, and not all of them. Unless otherwise specified, the embodiments and features described in this application can be combined with each other. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0058] Please see Figure 1-2 This invention provides a real estate registration system, which mainly includes: a multi-source data fusion module, a smart contract management module, an artificial intelligence-assisted review module, a distributed ledger storage module, a dynamic ownership management module, a user interaction and multi-channel access module, and a security and privacy protection module.

[0059] Multi-source data fusion module: This module automatically collects and fuses spatial location, boundary, and ownership information of real estate from satellite remote sensing data, UAV aerial photography, Geographic Information System (GIS), and relevant government databases. Specifically, the module establishes a spatial data model to automatically align heterogeneous data and reconstruct boundaries, thereby improving the accuracy of real estate boundary confirmation. The data fusion process includes data preprocessing, coordinate transformation, spatial registration, and boundary vectorization processing to ensure the spatiotemporal consistency and integrity of multi-source data.

[0060] Smart Contract Management Module: Based on blockchain technology, the smart contract management module enables the automatic execution of real estate ownership changes and the triggering of smart contracts. This module includes a contract template library, an automatic contract generation unit, and a contract execution engine. The contract template library pre-stores various smart contract templates related to real estate registration, covering different transaction types and ownership change requirements. The automatic contract generation unit automatically generates corresponding smart contracts based on specific transaction requests, supporting a multi-party joint signing mechanism to ensure multi-party authorization and security in ownership change transactions. The contract execution engine is responsible for automatically executing the smart contract content and synchronously updating the blockchain ledger, ensuring the automation and immutability of the ownership change process.

[0061] AI-Assisted Review Module: This module employs a pre-trained deep learning model to automatically detect anomalies, predict ownership disputes, and assess risks in the collected real estate information. In practice, utilizing historical registration data and judicial precedents, the model can identify forged or duplicated land ownership certificates and predict the probability of ownership disputes arising from registration applications. For high-risk applications, the system automatically triggers a manual review process, improving the accuracy and security of registration reviews.

[0062] Distributed Ledger Storage Module: This module uses blockchain distributed ledger technology to store real estate registration information, ensuring data transparency and tamper-proofness. It includes a multi-node storage unit, a data sharding and encryption unit, a version control unit, and a state synchronization unit. The multi-node storage unit is deployed across multiple geographically dispersed nodes and employs a Byzantine fault-tolerant consensus algorithm to achieve high availability and tamper-proof data. The data sharding and encryption unit logically shards real estate registration data for encrypted storage, improving storage efficiency and ensuring data security. The version control unit supports multi-version management of real estate registration information, ensuring the complete preservation and traceability of historical registration records. The state synchronization unit is responsible for real-time synchronization of the ledger state between nodes, ensuring data consistency across the distributed ledger.

[0063] The Property Rights Dynamic Management Module tracks changes in real estate ownership status in real time, supporting historical tracing and dynamic updates of the ownership chain. The module includes an ownership event monitoring unit, an ownership status update unit, an ownership chain management unit, and an abnormal change alarm unit. The ownership event monitoring unit monitors real-time events related to real estate ownership, such as transactions, changes, mortgages, and cancellations. The ownership status update unit automatically updates ownership status information based on monitored events, ensuring real-time ownership status. The ownership chain management unit constructs the ownership change chain, supporting historical tracing and accountability for ownership changes. The abnormal change alarm unit detects abnormal ownership change behavior based on a rule engine, providing timely warnings and triggering manual intervention.

[0064] User Interaction and Multi-Channel Access Module: To facilitate user operation, the system supports access via web, mobile devices, and government service terminals. This module includes a multi-terminal interface unit, a self-service unit, an intelligent customer service unit, an access control unit, and an interaction log recording unit. The multi-terminal interface unit enables cross-platform operation, while the self-service unit provides functions such as real estate registration application, status inquiry, ownership certificate printing, and online consultation. The intelligent customer service unit, based on natural language processing technology, automatically identifies and intelligently answers user questions. The access control unit combines identity authentication and role-based access management to ensure fine-grained control of different user access permissions. The interaction log recording unit records user actions and system responses, meeting the needs of security auditing and service quality analysis.

[0065] Security and Privacy Protection Module: To ensure user privacy and data access security, the system combines zero-knowledge proofs and multi-party secure computation technologies. Zero-knowledge proof technology protects the privacy of user identity and ownership information, ensuring that sensitive user information is not leaked while supporting compliant data access auditing. Multi-party secure computation technology ensures the security of multi-party data interaction processes, preventing unauthorized access or tampering of data.

[0066] Real Estate Registration Methods and Procedures

[0067] Based on the above system structure, the present invention also provides a method for real estate registration, the specific steps of which are as follows:

[0068] Step A: Multi-source data acquisition and fusion

[0069] The system automatically collects spatial and ownership data of real estate from satellite remote sensing, drone aerial photography, GIS, and government databases. It combines spatial data models to achieve automatic data alignment and boundary reconstruction, thereby constructing an accurate spatial ownership model of real estate.

[0070] Step B: Artificial Intelligence Assisted Review

[0071] A trained deep learning model is used to perform anomaly detection and risk assessment on the collected data. Based on historical registration data and judicial precedents, the model predicts the probability of ownership disputes that may arise from registration applications and automatically triggers manual review for high-risk applications to ensure the authenticity and validity of the data.

[0072] Step C: Smart Contract Generation and Submission

[0073] Based on the approved registration application, a corresponding smart contract is automatically generated, supporting a multi-party joint signing mechanism to ensure multi-party authorization and security in ownership transfer transactions. The smart contract is then submitted to the blockchain network for consensus confirmation.

[0074] Step D: Smart Contract Execution and Ledger Update

[0075] Once the blockchain network reaches a consensus, it automatically executes the smart contract, updates the real estate registration information in the distributed ledger, and ensures that the data is immutable and transparent.

[0076] Step E: Dynamic Synchronization of Ownership Information

[0077] Synchronize ownership information to the ownership dynamic management module to update ownership status in real time and support historical tracing and dynamic management of ownership change chains.

[0078] Step F: Multi-channel user interaction

[0079] Users can submit registration applications or inquire about ownership information through multiple channels, including web, mobile, and government self-service terminals. The system controls access based on user identity and role permissions to ensure operational security.

[0080] Step G: Privacy Protection and Compliance Audit

[0081] Zero-knowledge proof technology is used to protect user identity and data access privacy and conduct compliance audits, ensuring user privacy security and compliant system operation.

[0082] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0083] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0084] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A real estate registration system, characterized in that, include: The multi-source data fusion module is used to automatically collect and fuse spatial location, boundary and ownership information of real estate from satellite remote sensing data, UAV aerial photography, geographic information system (GIS) and government-related databases; The smart contract management module, based on blockchain technology, enables the automatic execution of ownership changes and the triggering of smart contracts during the real estate registration process, ensuring the automation and immutability of registration transactions. The AI-assisted review module uses machine learning models to automatically detect anomalies, predict ownership disputes, and assess risks in the collected real estate information. The distributed ledger storage module uses blockchain distributed ledger technology to store real estate registration information, ensuring data transparency and tamper-proofness. The ownership dynamic management module tracks changes in real-time property ownership status and supports historical tracing and dynamic updates of the ownership chain. The user interaction and multi-channel access module supports access and operation via multiple channels, including web, mobile, and government service terminals. The security and privacy protection module combines zero-knowledge proofs and multi-party secure computation technologies to ensure user privacy and data access security.

2. The real estate registration system according to claim 1, characterized in that: The multi-source data fusion module establishes a spatial data model to achieve automatic alignment and boundary reconstruction of heterogeneous data, thereby improving the accuracy of real estate boundary confirmation.

3. The real estate registration system according to claim 1, characterized in that: The smart contract management module includes: A contract template library is used to store various smart contract templates related to real estate registration. The contract automatic generation unit automatically generates corresponding smart contracts based on the transaction type and ownership change requirements. The contract execution engine automatically executes smart contract content and synchronously updates the blockchain ledger.

4. A real estate registration system according to claim 1, characterized in that: The AI-assisted review module, based on a trained deep learning model, is able to identify forged land ownership certificates, duplicate registrations, and potential legal disputes.

5. A real estate registration system according to claim 1, characterized in that: The distributed ledger storage module includes: Multi-node storage units are distributed across multiple geographically different nodes and employ the Byzantine fault-tolerant consensus algorithm to achieve high data availability and tamper-proof data. Data fragmentation and encryption units logically fragment real estate registration data for encrypted storage, improving storage efficiency and ensuring data security; Version control unit supports multi-version management of real estate registration information, ensuring the complete preservation and traceability of historical registration records; The state synchronization unit is responsible for the real-time synchronization of the ledger state among the nodes, ensuring the consistency of the distributed ledger data.

6. A real estate registration system according to claim 1, characterized in that: The ownership dynamic management module includes: The ownership event monitoring unit monitors real-time events related to real estate ownership, such as transactions, changes, mortgages, and cancellations. The ownership status update unit automatically updates the ownership status information based on the monitored events to ensure the real-time nature of the ownership status. The ownership chain management unit constructs an ownership change chain, supporting historical tracing and accountability for ownership changes; The abnormal change alarm unit detects abnormal ownership change behavior based on the rule engine, provides timely warnings, and triggers manual intervention.

7. A real estate registration system according to claim 1, characterized in that: The user interaction and multi-channel access module includes: The multi-terminal interface unit supports multiple access methods, including web browsers, mobile applications, and government self-service terminals, enabling cross-platform operation. The self-service unit provides services such as real estate registration application, status inquiry, ownership certificate printing and online consultation. The intelligent customer service unit, based on natural language processing technology, supports automatic identification and intelligent response to user questions, thereby improving user experience; Access control unit, which combines identity authentication and role-based access management, ensures fine-grained control over the access permissions of different users; The interactive log recording unit records user operations and system responses to meet the needs of security auditing and service quality analysis.

8. A real estate registration system according to claim 1, characterized in that: The security and privacy protection module employs zero-knowledge proof technology to protect the privacy of user identity and ownership information, while also supporting compliant data access auditing.

9. A method for real estate registration based on the above system, characterized in that, Includes the following steps: Step A: Automatically collect and integrate multi-source spatial and ownership data to construct a real estate spatial ownership model; Step B involves applying an artificial intelligence model to perform anomaly detection and risk assessment on the collected data. Step C: Automatically generate a ownership transfer contract based on the smart contract and submit it to the blockchain network for consensus confirmation; Step D: After the blockchain network reaches a consensus, it automatically executes the smart contract to update the real estate registration information in the distributed ledger. Step E: Dynamically synchronize ownership information to the ownership dynamic management module to achieve real-time updates of ownership status and historical tracing; Step F: Users query or submit registration applications through multiple channels, and the system responds according to access control and privacy protection policies. Step G involves using zero-knowledge proof technology to protect user identity and conduct compliance audits on data access.

10. The method for real estate registration according to claim 9, characterized in that: In step B, the artificial intelligence model predicts the probability of ownership disputes that may arise from the registration application based on historical registration data and judicial precedents, and automatically triggers manual review for high-risk applications. In step C, the smart contract supports a joint signing mechanism involving multiple parties to ensure the authorization and security of ownership transfer transactions.

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