Real estate file life cycle management and traceability system and storage medium

Abstract

The application relates to the technical field of real estate file management, and discloses a real estate file whole life cycle management and tracing system and a storage medium. A collection unit is used for digital collection of real estate files; a classification unit is used for classifying the digital real estate file data; a storage and backup unit is used for storing and backing up the real estate file data; a query unit is used for file query; a permission unit is used for permission management; a trace unit is used for recording complete trace information; and a tracing unit is used for generating a tracing map. The application constructs a multi-dimensional classification system based on the life cycle dimension, the right object dimension, the registration type dimension and the right type dimension of the property right, and automatically generates a unique file number according to the file number compilation rules, so that the automatic classification, indexing and file number compilation of the real estate electronic files are realized, the key field information is automatically extracted for matching classification, manual processing is pushed when the matching fails, and the classification accuracy and the processing efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of real estate archive management technology, and more specifically to a real estate archive full life cycle management and traceability system and storage medium. Background Technology

[0002] Real estate archives are important original documents recording the ownership, changes in rights, and natural conditions of real estate. They are widely used in real estate registration, transactions, mortgages, judicial seizures, and government supervision. With the full implementation of the unified real estate registration system, the number of real estate archives has increased exponentially, and the types of archives have become increasingly complex, involving various forms such as application materials, results of land surveys, review opinions, registers, real estate ownership certificates, and attached drawings. In existing real estate record management systems, record classification largely relies on manual indexing, lacking a unified, multi-dimensional classification system. This results in the mixed storage of records of different registration types, rights types, and property rights stages, with inconsistent record numbering rules, leading to problems such as duplicate numbers, missing numbers, or logical confusion. Real estate record storage often uses local server single storage or simple copy backup, lacking distributed storage and off-site disaster recovery mechanisms. Once hardware failure, virus attacks, or natural disasters occur, record data is easily lost or damaged. Furthermore, real estate record management systems lack complete records of record query, borrowing, printing, and download operations. In the event of information leakage or unauthorized access, it is impossible to trace the specific operator, operation time, and operation content. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a real estate archive full life cycle management and traceability system and storage medium to solve the technical problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a real estate archive full lifecycle management and traceability system, comprising a collection unit, a classification unit, an archive catalog database, a storage and backup unit, a query unit, an access control unit, a record keeping unit, and a traceability unit. The collection unit is used for the digital collection of real estate archives; the classification unit classifies the digitized real estate archive data; the archive catalog database is used to store the metadata of the real estate archives and the storage path of the original files; the storage and backup unit stores and backs up the real estate archive data; the query unit is used for archive query; the access control unit is used for access control management; the record keeping unit is used to record completion trace information; and the traceability unit is used to generate a traceability map. The collection unit collects archival data generated during the real estate registration process. The archival data includes application materials, property rights survey results, review opinions, registration books, real estate ownership certificates, and attached drawings. The collection unit scans and digitizes the paper archives to output digital images. The collection unit also captures the metadata of the archives, including the creation time, the department that created the archive, the person who created the archive, the archive type, and the retention period.

[0005] In a preferred embodiment, the classification unit automatically classifies, indexes, and assigns file numbers to electronic records, and its working steps are as follows: Step S1: Obtain the digitized electronic real estate file; Step S2: Automatically classify electronic archives based on a preset multi-dimensional classification system and output classification labels; Step S3: Based on the category tags and file metadata, automatically generate a unique file number according to the file numbering rules; Step S4: Associate and store the file number, classification label, file metadata, and file storage path of the electronic file in the file catalog database to form a structured file catalog.

[0006] In a preferred embodiment, in step S2, the multi-dimensional classification system includes a property rights life cycle dimension, a rights object dimension, a registration type dimension, and a rights type dimension. The property rights life cycle dimension is classified according to the stages of real estate rights from establishment to extinction. The rights object dimension is classified according to the type of real estate object. The registration type dimension is classified according to the business type of real estate registration. The rights type dimension is classified according to the nature of real estate rights.

[0007] In a preferred embodiment, when performing automated classification in step S2, key field information is extracted from the electronic file. The key field information includes: registration business type, real estate unit code, right holder name, and ownership certificate number. The key field information is matched with a preset multi-dimensional classification system. When the match is successful, the corresponding classification label is output. When the match fails, the electronic file is marked as awaiting manual classification and pushed to the manual classification department for manual classification operation.

[0008] In a preferred embodiment, the storage and backup unit uses a distributed file system to store the original electronic archives and performs synchronous storage between the local server and the cloud database. The storage and backup unit encrypts sensitive information in the archives using national cryptographic algorithms. The storage and backup unit synchronizes the archive data to the local backup medium in real time and remotely transmits the backup data to the off-site disaster recovery center according to a preset cycle.

[0009] In a preferred embodiment, the query unit connects to different query terminals through a standardized API interface, receives query conditions submitted by users, and forwards the query request to the authorization unit for identity verification and authorization determination. After obtaining the authorization result from the authorization unit, the query unit retrieves matching file information from the file directory database and provides the information.

[0010] In a preferred embodiment, the permission unit performs identity verification, permission check, and access authorization management for all file query requests. Based on a role-based access control model, the permission unit pre-defines file administrators, registration personnel, rights holders, interested parties, judicial query personnel, and the general public in the permission database. When the permission unit receives a query request from the query unit, it extracts the identity identifier carried in the request and compares it with a unified identity authentication platform to determine whether the requester has the right to access the requested file information. If the requester has the right to access the file, the permission unit provides the information; if the requester does not have the right to access the file, the permission unit rejects the query request.

[0011] In a preferred embodiment, the traceability unit is used to record complete trace information for each file query, borrowing, printing, and downloading operation, and generate an unalterable operation log. The traceability unit is automatically triggered when the query unit is activated. The captured operation trace information includes: operation timestamp, operator identification, operation terminal IP address, device fingerprint, operation type, query conditions, search keywords, file number of the accessed file, file path, data volume of the returned result, and content summary. The traceability unit sends the operation trace information to the tracing unit while writing it to the local log database.

[0012] In a preferred embodiment, the tracing unit has a built-in hash value extraction submodule that calculates a unique hash value for each operation log as a digital fingerprint. After receiving the file information input by the user, the tracing unit automatically retrieves all the evidence storage records and operation records of the file. By comparing the hash value calculated in real time for the current file with the hash value of the first evidence storage, it determines whether the file has been tampered with. The tracing unit generates a tracing map in chronological order.

[0013] A storage medium for the full life cycle management and traceability of real estate archives, on which a computer program is stored, and when the computer program is executed by a processor, the real estate archive full life cycle management and traceability system is realized.

[0014] The technical effects and advantages of this invention are as follows: 1. This invention constructs a multi-dimensional classification system based on the dimensions of property rights life cycle, object of rights, registration type, and right type through classification units, and automatically generates unique file numbers according to file number compilation rules, thereby realizing the automated classification, indexing, and file number compilation of electronic real estate archives. It automatically extracts key field information for matching and classification, and pushes manual processing when matching fails, thereby improving classification accuracy and processing efficiency. 2. This invention improves the reliability and security of archive storage by setting up storage and backup units, using a distributed file system to store original electronic archives, and synchronizing storage between local servers and cloud databases. Sensitive information is encrypted using national cryptographic algorithms, and archive data is synchronized to local backup media in real time and remotely transmitted to an off-site disaster recovery center according to a preset cycle. This ensures the long-term preservation of real estate archives and business continuity. 3. This invention automatically captures complete trace information of each operation, generates an unalterable operation log and sends it to the traceability unit in real time. It calculates a unique hash value for each operation log and original document as a digital fingerprint. When a user needs to verify the authenticity of a document, by comparing the current real-time hash value of the document with the hash value of the first document, it can accurately determine whether the document has been tampered with, and generate a visual traceability map in chronological order. This enables full traceability and content tamper-proofing of the entire life cycle of document operations, and allows for precise traceability operations. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall system composition of the present invention. Detailed Implementation

[0016] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The real estate archive full life cycle management and traceability system and storage medium involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Reference Figure 1This invention provides a real estate archive full lifecycle management and traceability system, including a collection unit, a classification unit, an archive catalog database, a storage and backup unit, a query unit, an access control unit, a record keeping unit, and a traceability unit. The collection unit is used for the digital collection of real estate archives. The classification unit classifies the digitized real estate archive data. The archive catalog database is used to store the metadata of real estate archives and the storage path of the original files. The storage and backup unit stores and backs up the real estate archive data. The query unit is used for archive query. The access control unit is used for access control management. The record keeping unit is used to record completion trace information. The traceability unit is used to generate traceability maps.

[0018] In this embodiment, the present application constructs a complete closed-loop management system from digital collection of archives, automatic classification, secure storage, access control, operation tracking to content traceability, thereby realizing digital, structured and traceable management of real estate archives throughout their entire life cycle, solving problems such as incomplete collection, chaotic classification, scattered storage, ambiguous permissions and lack of traceable operations in traditional archive management, and thus improving the efficiency, security and credibility of archive management.

[0019] Reference Figure 1 The collection unit collects archival data generated during the real estate registration process. The archival data includes application materials, property rights survey results, review opinions, registration books, real estate ownership certificates, and attached drawings. The collection unit scans and digitizes the paper archives to output digital images. The collection unit also captures the metadata of the archives, including the creation time, the department that created the archive, the person who created the archive, the archive type, and the retention period.

[0020] In this embodiment of the application, the paper archives generated during the real estate registration process are scanned and digitized to output digital images. At the same time, the metadata of the archives is captured to provide a standardized electronic data foundation for subsequent classification, storage, query and traceability.

[0021] Reference Figure 1 The classification unit automatically classifies, indexes, and assigns file numbers to electronic archives. Its working steps are as follows: Step S1: Obtain the digitized electronic real estate file; Step S2: Automatically classify electronic archives based on a preset multi-dimensional classification system and output classification labels; Step S3: Based on the category tags and file metadata, automatically generate a unique file number according to the file numbering rules; Step S4: Associate and store the file number, classification label, file metadata, and file storage path of the electronic file in the file catalog database to form a structured file catalog.

[0022] The file number structure is as follows: record group number, archive category code, real estate registration business category code, year, retention period code, case file number, and document number. The real estate registration business category code is generated by mapping according to the registration type under the registration type dimension.

[0023] In this embodiment, the application achieves automated classification, indexing, and file numbering of electronic real estate archives by defining specific working steps for classification units. Through a preset multi-dimensional classification system and file numbering rules, a unique and structured file number can be automatically generated, and the file number, classification label, metadata, and storage path are associated and stored in the archive catalog database. Therefore, this application avoids the subjectivity, inefficiency, and error-proneness of manual classification and numbering, ensuring the uniqueness and logic of the file number, and providing a structured data foundation for subsequent rapid retrieval and accurate positioning.

[0024] Reference Figure 1 In step S2, the multi-dimensional classification system includes the property rights life cycle dimension, the object of the right dimension, the registration type dimension, and the right type dimension. The property rights life cycle dimension is classified according to the stages from the establishment to the extinction of real estate rights, including: land acquisition stage, planning and construction stage, completion and acceptance stage, initial registration stage, transfer registration stage, mortgage registration stage, change registration stage, and cancellation registration stage. The object of the right dimension is classified according to the object type of real estate, including: land, houses, forest land, grassland, sea area, and buildings. The registration type dimension is classified according to the business type of real estate registration, including: initial registration, transfer registration, change registration, cancellation registration, correction registration, objection registration, preliminary registration, and seizure registration. The right type dimension is classified according to the nature of the real estate rights, including: state-owned construction land use rights, collective land ownership, homestead use rights, house ownership, mortgage rights, and easements.

[0025] In this embodiment of the application, the specific dimensions of the multi-dimensional classification system are defined, including the property rights life cycle dimension, the object of the right dimension, the registration type dimension, and the right type dimension. By classifying real estate rights from four dimensions—the time evolution of the real estate rights, the physical form of the object, the type of business processing, and the legal nature of the right—it can comprehensively and meticulously cover all file types in real estate registration business, making the classification results more in line with the business logic and legal attributes of real estate registration, and improving the professionalism of file classification and the relevance of retrieval.

[0026] Reference Figure 1 When performing automated classification in step S2, the specific steps are as follows: Step S201: Perform OCR recognition and natural language processing on the electronic archives to extract structured fields containing registration business type, real estate unit code, right holder name, and ownership certificate number; Step S202: Based on the preset decision tree model, the extracted key fields are matched with the classification labels in the multi-dimensional classification system. The branch nodes of the decision tree model are classified first according to the registration type dimension, and then classified step by step according to the right type dimension, property right life cycle dimension, and right object dimension. Step S203: When the classification confidence score output by the model is lower than the preset threshold, the manual review process is triggered, and the manual review result is fed back to the classification model as a training sample for incremental learning.

[0027] In this embodiment, the application introduces OCR and natural language processing to extract key fields, and uses decision trees for multi-dimensional hierarchical classification. Combined with confidence threshold judgment and incremental learning mechanism of human result feedback, the application improves classification accuracy and robustness, reduces the proportion of human intervention and processing delay, ensures the interpretability of classification path to meet audit requirements, and enhances the fault tolerance of abnormal files.

[0028] Reference Figure 1 The storage and backup unit uses a distributed file system to store the original electronic archives and performs synchronous storage between the local server and the cloud database. The storage and backup unit uses national cryptographic algorithms to encrypt and store sensitive information in the archives. The storage and backup unit synchronizes the archive data to the local backup medium in real time and remotely transmits the backup data to the off-site disaster recovery center according to a preset cycle.

[0029] In this embodiment, the application effectively prevents single points of failure and data loss through distributed storage and multi-level backup strategies, ensuring high availability and disaster recovery capabilities of archival data. Sensitive information is encrypted using national cryptographic algorithms to meet national cryptographic management and information security level protection requirements, preventing data leakage. The local and off-site backup mechanism allows for rapid data recovery from the off-site disaster recovery center even in the event of a regional disaster, ensuring the long-term safe preservation of real estate archives.

[0030] Reference Figure 1 The query unit connects to different query terminals through a standardized API interface, receives query conditions submitted by users, and forwards the query request to the authorization unit for identity verification and authorization determination. After obtaining the authorization result from the authorization unit, the query unit retrieves matching file information from the file directory database and provides the information.

[0031] In this embodiment, the application achieves diversification of query terminals through standardized API interfaces, improving the scalability and compatibility of the system. When performing a query, the query request is first verified by the permission unit before data is retrieved, avoiding the security risk of unauthorized direct access to the database, thereby realizing a secure, efficient and flexible file query service.

[0032] Reference Figure 1 The permission unit performs identity verification, permission check, and access authorization management for all file query requests. Based on a role-based access control model, the permission unit pre-defines file administrators, registration personnel, rights holders, interested parties, judicial query personnel, and the general public in the permission database. When the permission unit receives a query request from the query unit, it extracts the identity identifier carried in the request and compares it with the unified identity authentication platform to determine whether the requester has the right to access the requested file information. If the requester has the right to access the file, the permission unit provides the information; if the requester does not have the right to access the file, the permission unit rejects the query request.

[0033] In this embodiment, roles such as file administrator, registration personnel, rights holder, interested party, judicial inquiry personnel, and the general public are predefined. Identity identifiers are extracted and compared with a unified identity authentication platform to determine whether access is authorized. This achieves precise role-based access control, with different roles having different file access scopes and operation permissions. For rights holders and interested parties, additional verification of relevance is possible. By connecting with the unified identity authentication platform, the authenticity and uniqueness of identities are guaranteed, effectively preventing unauthorized access and information leakage, and meeting the requirements for real estate registration information security and compliance.

[0034] Reference Figure 1 The traceability unit is used to record complete trace information of each file query, borrowing, printing and downloading operation, and generate an unalterable operation log. The traceability unit is automatically triggered when the query unit is activated. The captured operation trace information includes: operation timestamp, operator identity, operation terminal IP address, device fingerprint, operation type, query conditions, search keywords, file number of the accessed file, file path, data volume of the returned result and content summary. The traceability unit sends the operation trace information to the tracing unit while writing it to the local log database.

[0035] In this embodiment, the record-keeping unit records complete trace information for each file query, borrowing, printing, and downloading operation, and simultaneously writes the operation trace information to the local log database and sends it to the traceability unit. This allows for full-process, fine-grained recording of all file access behaviors, ensuring that the operation traces are tamper-proof. This provides a complete chain of evidence for security auditing, accountability, and abnormal behavior monitoring. The trace information is synchronized to the traceability unit in real time, laying a data foundation for subsequent verification of file content tamper-proofing and the generation of traceability maps.

[0036] Reference Figure 1 The tracing unit has a built-in hash value extraction submodule that calculates a unique hash value for each operation log as a digital fingerprint. After receiving the file information input by the user, the tracing unit automatically pulls all the evidence records and operation records of the file. By comparing the hash value calculated in real time for the current file with the hash value of the first evidence record, it determines whether the file has been tampered with. The tracing unit generates a tracing map in chronological order.

[0037] In this embodiment, the uniqueness and irreversibility of hash algorithms are used to verify the tamper-proof nature of archive content. Once an archive is illegally modified, the hash value comparison will immediately detect the inconsistency. This application can generate a visual traceability map, which intuitively displays the entire lifecycle of the archive from collection, classification, storage to every access, modification, and backup, increasing the credibility and audit efficiency of the archive. It facilitates traceability and provides strong technical support for judicial evidence and compliance supervision.

[0038] Reference Figure 1 The storage medium for the full life cycle management and traceability of real estate archives stores a computer program, which, when executed by a processor, realizes the real estate archive full life cycle management and traceability system.

[0039] In this embodiment, the functional modules of the system are embedded in the storage medium in the form of computer programs, which facilitates the deployment, installation and upgrading of the system. Users only need to run the program in the storage medium on a general computing device to quickly build a complete file management and traceability system, reducing implementation costs and technical barriers.

[0040] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. The units and algorithm steps of the various examples described in the embodiments can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0041] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0042] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0043] In conclusion, 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.

Claims

1. A real estate archive full life cycle management and traceability system, characterized by: It includes a data acquisition unit, a classification unit, an archive catalog database, a storage and backup unit, a query unit, an access control unit, a record keeping unit, and a tracing unit. The data acquisition unit is used for the digital acquisition of real estate archives. The classification unit classifies the digitized real estate archive data. The archive catalog database is used to store the metadata of real estate archives and the storage path of the original files. The storage and backup unit stores and backs up the real estate archive data. The query unit is used for archive querying. The access control unit is used for access control management. The record keeping unit is used to record completion trace information. The tracing unit is used to generate a tracing map. The collection unit collects archival data generated during the real estate registration process. The archival data includes application materials, property rights survey results, review opinions, registration books, real estate ownership certificates, and attached drawings. The collection unit scans and digitizes the paper archives to output digital images. The collection unit also captures the metadata of the archives, including the creation time, the department that created the archive, the person who created the archive, the archive type, and the retention period.

2. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The classification unit automates the classification, indexing, and numbering of electronic records. Its steps are as follows: Step S1: Obtain the digitized electronic real estate file; Step S2: Automatically classify electronic archives based on a preset multi-dimensional classification system and output classification labels; Step S3: Based on the category tags and file metadata, automatically generate a unique file number according to the file numbering rules; Step S4: Associate and store the file number, classification label, file metadata, and file storage path of the electronic file in the file catalog database to form a structured file catalog.

3. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: In step S2, the multi-dimensional classification system includes the property rights life cycle dimension, the object of the right dimension, the registration type dimension, and the right type dimension. The property rights life cycle dimension is classified according to the stages of real estate rights from establishment to extinction. The object of the right dimension is classified according to the object type of real estate. The registration type dimension is classified according to the business type of real estate registration. The right type dimension is classified according to the nature of the real estate rights.

4. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: When performing automated classification in step S2, the specific steps are as follows: Step S201: Perform OCR recognition and natural language processing on the electronic archives to extract structured fields containing registration business type, real estate unit code, right holder name, and ownership certificate number; Step S202: Based on the preset decision tree model, the extracted key fields are matched with the classification labels in the multi-dimensional classification system. The branch nodes of the decision tree model are classified first according to the registration type dimension, and then classified step by step according to the right type dimension, property right life cycle dimension, and right object dimension. Step S203: When the classification confidence score output by the model is lower than the preset threshold, the manual review process is triggered, and the manual review result is fed back to the classification model as a training sample for incremental learning.

5. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The storage and backup unit uses a distributed file system to store the original electronic archives and performs synchronous storage between the local server and the cloud database. The storage and backup unit also uses national cryptographic algorithms to encrypt sensitive information in the archives. The storage and backup unit synchronizes the archive data to the local backup medium in real time and remotely transmits the backup data to the off-site disaster recovery center according to a preset cycle.

6. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The query unit connects to different query terminals through a standardized API interface, receives query conditions submitted by users, and forwards the query request to the authorization unit for identity verification and authorization determination. After obtaining the authorization result from the authorization unit, the query unit retrieves matching file information from the file directory database and provides the information.

7. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The permission unit performs identity verification, permission check, and access authorization management for all file query requests. Based on a role-based access control model, the permission unit pre-defines file administrators, registration personnel, rights holders, interested parties, judicial query personnel, and the general public in the permission database. When the permission unit receives a query request from the query unit, it extracts the identity identifier carried in the request and compares it with the unified identity authentication platform to determine whether the requester has the right to access the requested file information. If the requester has the right to access the file, the permission unit provides the information; if the requester does not have the right to access the file, the permission unit rejects the query request.

8. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The traceability unit is used to record complete trace information of each file query, borrowing, printing and downloading operation, and generate an unalterable operation log. The traceability unit is automatically triggered when the query unit is activated. The captured operation trace information includes: operation timestamp, operator identification, operation terminal IP address, device fingerprint, operation type, query conditions, search keywords, file number of the accessed file, file path, data volume of the returned result and content summary. The traceability unit sends the operation trace information to the tracing unit while writing it to the local log database.

9. The real estate archive full life cycle management and traceability system according to claim 1, characterized in that: The traceability unit has a built-in hash value extraction submodule that calculates a unique hash value for each operation log as a digital fingerprint. After receiving the file information input by the user, the traceability unit automatically retrieves all the evidence storage records and operation records of the file. By comparing the hash value calculated in real time for the current file with the hash value of the first evidence storage, it determines whether the file has been tampered with. The traceability unit generates a traceability map in chronological order.

10. A storage medium for the full life-cycle management and traceability of real estate archives, on which computer programs are stored, characterized in that: When the computer program is executed by the processor, it implements the real estate archive full life cycle management and traceability system as described in any one of claims 1-9.

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