Real estate information supplementing method and device, computer device and storage medium

Abstract

The application relates to a real estate information supplementing method and device, computer equipment and a storage medium, the method comprising the following steps: receiving a real estate information supplementing instruction, the real estate information supplementing instruction comprising a target page identifier; querying a target field identifier corresponding to the target page identifier according to a first preset rule table, wherein the first preset rule table records a plurality of page identifiers corresponding to field identifiers; judging whether an AI real estate information data source needs to be configured; if yes, configuring the AI real estate information data source according to the target page identifier; obtaining first field data corresponding to the target field identifier in the AI real estate information data source; and supplementing corresponding first field data in a plurality of input boxes of an input page. Through the above method, the time of the process is reduced, the intermediate link of the real estate information supplementing is simplified, the efficiency and the accuracy of the real estate information supplementing are improved, the workload of a customer manager is effectively reduced, and the development efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method, apparatus, computer equipment, and storage medium for supplementing real estate information. Background Technology

[0002] Current bank mortgage approval processes require basic property information. Current technology typically requires manual input of this information. However, even if a loan officer has the client's property certificate information, much of the basic property information cannot be obtained from the certificate. This leads to loan officers being unable to input the information or inputting it arbitrarily, potentially resulting in the application being rejected by the reviewers and impacting the mortgage process. If the loan officer were to delegate the data entry to a professional appraisal agency through the system, the process would be longer, and the appraisal agency would charge fees, increasing costs.

[0003] Therefore, how to solve the technical problems of time-consuming and costly data entry for existing real estate information has become an urgent technical issue to be addressed. Summary of the Invention

[0004] The main objective of this invention is to provide a method, apparatus, computer equipment, and storage medium for supplementing real estate information, aiming to solve the technical problem of high cost of supplementing real estate information.

[0005] To achieve the above objectives, this invention proposes a method for supplementing real estate information, wherein the method includes:

[0006] Receive a property information supplementation instruction, wherein the property information supplementation instruction includes a target page identifier;

[0007] The first preset rule table is used to query the target field identifier corresponding to the target page identifier. The first preset rule table records the field identifiers corresponding to multiple page identifiers.

[0008] Determine whether an AI-powered real estate information data source needs to be configured.

[0009] If so, configure the AI ​​real estate information data source according to the target page identifier;

[0010] Obtain the first field data corresponding to the target field identifier from the AI ​​real estate information data source;

[0011] Enter the corresponding data for the first field in the multiple input boxes on the input page.

[0012] In one embodiment, the field identifier includes one or more of the following combinations: land acquisition method, building use, land use, land use term, land start date, land expiration date, completion date, year of construction, address, construction area, and building floor.

[0013] In one embodiment, the method further includes: automatically and in real-time monitoring data changes of the AI ​​real estate information data source through an AI process.

[0014] In one embodiment, the method further includes:

[0015] Use web crawling tools to crawl real estate information data in the target area from third-party information platforms or receive real estate information data uploaded by customers;

[0016] The real estate information data is stored in a pre-built AI real estate information database;

[0017] Determine the attribute information of each second field in the property information data;

[0018] The second preset rule table associates each second field data with the field identifier, and the second preset rule table records the field identifiers corresponding to several attribute information.

[0019] In one embodiment, the step of determining whether to configure an AI real estate information data source includes:

[0020] Access the AI ​​real estate information database;

[0021] Determine whether the AI ​​real estate information database contains data for a second field corresponding to the target field identifier;

[0022] If it does not exist, then you need to configure an AI real estate information data source.

[0023] If it exists, then it is determined that no AI real estate information data source needs to be configured.

[0024] In one embodiment, after determining that no AI real estate information data source needs to be configured, the method further includes:

[0025] Configure the AI ​​real estate information database according to the target page identifier;

[0026] Obtain the second field data corresponding to the target field identifier from the AI ​​real estate information database;

[0027] Enter the corresponding data for the second field in the multiple input boxes on the input page.

[0028] In one embodiment, the method further includes:

[0029] Receive a property information deletion instruction, the property information deletion instruction including a target page identifier and an identifier of the field to be deleted;

[0030] Delete the field data in the input box on the input page that corresponds to the field identifier to be deleted.

[0031] To achieve the above objectives, the present invention proposes a real estate information supplementation device, wherein the device comprises:

[0032] A receiving unit is configured to receive a property information supplementation instruction, wherein the property information supplementation instruction includes a target page identifier;

[0033] The query unit is used to query the target field identifier corresponding to the target page identifier according to the first preset rule table, wherein the first preset rule table records the field identifiers corresponding to multiple page identifiers;

[0034] The decision unit is used to determine whether an AI real estate information data source needs to be configured.

[0035] The configuration unit is used to configure the AI ​​real estate information data source according to the target page identifier when it is necessary to configure the AI ​​real estate information data source;

[0036] The acquisition unit is used to acquire the first field data corresponding to the target field identifier in the AI ​​real estate information data source;

[0037] The data entry unit is used to enter the corresponding data of the first field in multiple input boxes on the data entry page.

[0038] To achieve the above objectives, the present invention provides a computer device, wherein the computer device includes: a memory storing at least one instruction; and

[0039] The processor executes the instructions stored in the memory to implement the real estate information supplementation method in the above method embodiments.

[0040] To achieve the above objectives, the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, which is executed by a processor in a computer device to implement the real estate information supplementation method in the above method embodiments.

[0041] The beneficial effects of the embodiments of the present invention compared with the prior art are as follows:

[0042] This invention, by introducing an AI-powered real estate information data source, can quickly obtain basic real estate information based on community or property information, including fields such as land acquisition method, building use, land use, land use term, land start date, land expiration date, completion date, and year of construction. This reduces the time cost for account managers to supplement information. Furthermore, by introducing an AI-powered real estate information data source, account managers can obtain automatically filled real estate information fields, significantly reducing the need to dispatch orders to appraisal agencies and thus reducing the fees paid to them. This reduces process time, simplifies intermediate steps in real estate information supplementation, improves the efficiency and accuracy of real estate information supplementation, effectively reduces the workload of account managers, and increases development efficiency. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of an application environment for the real estate information supplementation method provided in Embodiment 1 of the present invention;

[0045] Figure 2 This is a flowchart of the real estate information supplementation method provided in Embodiment 2 of the present invention;

[0046] Figure 3 This is a flowchart of the real estate information supplementation method provided in Embodiment 3 of the present invention;

[0047] Figure 4 This is a flowchart of the real estate information supplementation method provided in Embodiment 4 of the present invention;

[0048] Figure 5 This is a flowchart of the real estate information supplementation method provided in Embodiment 5 of the present invention;

[0049] Figure 6 This is a flowchart of the real estate information supplementation method provided in Embodiment Six of the present invention;

[0050] Figure 7 This is a schematic diagram of the real estate information supplementation device provided in Embodiment 7 of the present invention;

[0051] Figure 8 This is a schematic diagram of the structure of a computer device provided in Embodiment 8 of the present invention. Detailed Implementation

[0052] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0053] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0054] It should also be understood that the term “and / or” as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0055] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."

[0056] Furthermore, in the description of this invention and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0057] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of the invention include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0058] It should be understood that the sequence number of each step in the following embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0059] To illustrate the technical solution of the present invention, specific embodiments are described below.

[0060] The method for supplementing real estate information provided in Embodiment 1 of this invention can be applied to, for example... Figure 1 In this application environment, the client and server communicate with each other. The client includes, but is not limited to, PDAs, desktop computers, laptops, ultra-mobile personal computers (UMPCs), netbooks, cloud terminal devices, and personal digital assistants (PDAs). The server can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0061] See Figure 2 This is a flowchart illustrating the method for supplementing real estate information according to Embodiment 2 of the present invention. The method for supplementing real estate information can be applied to... Figure 1 The client in the middle. For example, Figure 2 As shown, the method for supplementing property information may include the following steps:

[0062] Step S201: Receive the instruction to supplement real estate information.

[0063] The property information supplementation instruction includes a target page identifier.

[0064] Step S202: Query the target field identifier corresponding to the target page identifier according to the first preset rule table.

[0065] The first preset rule table records field identifiers corresponding to multiple page identifiers.

[0066] Specifically, after successful login to the business system, the system's main page is displayed on the terminal. The main page can display various controls. Clicking on a corresponding control on the terminal leads to the corresponding data entry page. The data entry page has a page identifier. A pre-established mapping relationship between the page identifier and field identifiers can be established, i.e., the first preset rule table. The terminal obtains the page identifier of the data entry page and, according to the mapping relationship, can retrieve the corresponding field identifier. The terminal can obtain the target field identifier locally or send a request to the server to retrieve the field identifier. The server then extracts the target field identifier from the first preset rule table based on the request and returns the target field identifier to the terminal. Field identifiers can be in various file formats, such as data tables or text files.

[0067] Optionally, the field identifier includes one or more of the following combinations: land acquisition method, building use, land use, land use term, land start date, land expiration date, completion date, year of construction, address, construction area, and building floor.

[0068] Step S203: Determine whether it is necessary to configure an AI real estate information data source.

[0069] If so, proceed to step S204.

[0070] Step S204: Configure the AI ​​real estate information data source according to the target page identifier.

[0071] The AI ​​real estate information data source is a collection of real estate information data, which is diverse, heterogeneous, and complex in data type, including but not limited to: logs, web crawlers, data tracking points, data files, databases, cloud, etc., and supports custom extension interfaces for configuring the AI ​​real estate information data source.

[0072] Step S205: Obtain the first field data corresponding to the target field identifier from the AI ​​real estate information data source.

[0073] Step S206: Enter the corresponding data of the first field in the multiple input boxes on the input page.

[0074] In this embodiment, the first field data can be in the form of an Extensible Markup Language (XML) or Structured Query Language (SQL) file; no specific limitation is made here. Each first field data has its own corresponding field identifier. In this embodiment, the field identifier is used to represent the attribute or data name of the first field data. In addition, each first field data may also carry data information including the data generation time, data type, and the normal numerical range corresponding to the first field data.

[0075] This embodiment introduces an AI-powered real estate information data source, which can quickly obtain basic real estate information based on community or property information, such as land acquisition method, building use, land use, land use term, land start date, land expiration date, completion date, and year of construction. This reduces the time cost for account managers to supplement information. In addition, by introducing an AI-powered real estate information data source, account managers can obtain automatically filled real estate information fields, which can further reduce the number of orders sent to appraisal agencies and reduce the fees paid to appraisal agencies. This reduces the time required for the process, simplifies the intermediate steps of real estate information supplementation, improves the efficiency and accuracy of real estate information supplementation, effectively reduces the workload of account managers, and improves development efficiency.

[0076] Furthermore, the real estate information supplementation method in this embodiment of the invention also includes: automatically and in real-time monitoring data changes of the AI ​​real estate information data source through an AI process.

[0077] This embodiment uses an AI-driven process to monitor, collect, and synchronize data from AI-based real estate information data sources. It can automatically, intelligently, efficiently, and accurately complete data synchronization, integration, calculation, analysis, and use, while improving data security and quality, thus forming a healthy and comprehensive data system.

[0078] See Figure 3 This is a flowchart illustrating the method for supplementing real estate information according to Embodiment 3 of the present invention. The method further includes:

[0079] Step S301: Use a web crawler to crawl real estate information data within the target area from a third-party information platform or receive real estate information data uploaded by customers.

[0080] Specifically, with the rapid development of the information age, users are more inclined to use various information platforms to search for the information they need. Therefore, in this embodiment, according to preset keywords, a web crawler is used to crawl real estate information data from third-party information platforms (such as relevant information systems of the housing and construction department, and platforms for buying and selling new and old houses). Real estate information data is collected by having business personnel upload the data or by using the data integration interface of relevant information systems of the housing and construction department.

[0081] The web crawler tool can be a web crawler tool written using programming languages ​​such as Python and Java.

[0082] Step S302: Store the property information data in a pre-built AI property information database.

[0083] Step S303: Determine the attribute information of each second field data in the real estate information data.

[0084] Step S304: Associate each second field data with the field identifier according to the second preset rule table. The second preset rule table records the field identifiers corresponding to several attribute information.

[0085] The second field data obtained in this embodiment can be in the form of an Extensible Markup Language (XML) or Structured Query Language (SQL) file; no limitation is made here. Each second field data has its own corresponding field identifier. In this embodiment, the field identifier is used to represent the attribute or data name of the second field data. In addition, each second field data may also carry data information including the data generation time, data type, and the normal numerical range corresponding to the second field data.

[0086] This embodiment uses web crawling tools to crawl real estate information data within a target area from a third-party information platform or to receive real estate information data uploaded by customers in order to build its own AI real estate information database, which can further reduce the cost of calling external AI real estate information data sources.

[0087] See Figure 4 This is a flowchart illustrating the real estate information supplementation method provided in Embodiment 4 of the present invention. The step of determining whether to configure an AI real estate information data source includes:

[0088] Step S401: Access the AI ​​real estate information database.

[0089] Step S402: Determine whether there is second field data corresponding to the target field identifier in the AI ​​real estate information database.

[0090] Step S403: If it does not exist, then it is determined that an AI real estate information data source needs to be configured.

[0091] Step S404: If it exists, then it is determined that no AI real estate information data source needs to be configured.

[0092] See Figure 5 This is a flowchart illustrating the method for supplementing real estate information according to Embodiment 5 of the present invention. After the step of determining that no AI real estate information data source needs to be configured, the method further includes:

[0093] Step S501: Configure the AI ​​real estate information database according to the target page identifier.

[0094] Step S502: Obtain the second field data corresponding to the target field identifier from the AI ​​real estate information database.

[0095] Step S503: Enter the corresponding data for the second field in the multiple input boxes on the input page.

[0096] This embodiment uses big data analytics to create its own AI-powered real estate information database. Before calling external AI-powered real estate information data sources, it first accesses its own AI-powered real estate information database. If the second field data already exists, there is no need to call the external AI-powered real estate information database, thereby further reducing costs.

[0097] See Figure 6 This is a flowchart illustrating the method for supplementing real estate information according to Embodiment Six of the present invention. The method further includes:

[0098] Step S601: Receive a property information deletion instruction, the property information deletion instruction including a target page identifier and an identifier of the field to be deleted.

[0099] Step S602: Delete the field data in the input box on the input page that corresponds to the field identifier to be deleted.

[0100] Corresponding to the property information supplementation method in the above embodiment, Figure 7 A structural block diagram of a real estate information supplementation device according to Embodiment 3 of the present invention is shown. This real estate information supplementation device is applied to a client-side application. For ease of explanation, only the parts relevant to the embodiments of the present invention are shown.

[0101] See Figure 7 The property information supplementation device 70 includes:

[0102] The receiving unit 701 is used to receive a property information supplementation instruction, wherein the property information supplementation instruction includes a target page identifier.

[0103] The query unit 702 is used to query the target field identifier corresponding to the target page identifier according to the first preset rule table, wherein the first preset rule table records the field identifiers corresponding to multiple page identifiers.

[0104] Judgment unit 703 is used to determine whether an AI real estate information data source needs to be configured.

[0105] Configuration unit 704 is used to configure the AI ​​real estate information data source according to the target page identifier when it is necessary to configure the AI ​​real estate information data source.

[0106] The acquisition unit 705 is used to acquire the first field data corresponding to the target field identifier in the AI ​​real estate information data source.

[0107] The data entry unit 706 is used to enter the corresponding data of the first field in multiple input boxes on the data entry page.

[0108] The monitoring unit 707 is used to automatically monitor data changes of the AI ​​real estate information data source in real time through AI processes.

[0109] Data unit 708 is used to crawl real estate information data within a target area from a third-party information platform using a web crawler or to receive real estate information data uploaded by customers.

[0110] Storage unit 709 is used to store the real estate information data in a pre-built AI real estate information database.

[0111] The attribute information determination unit 710 is used to determine the attribute information of each second field data in the real estate information data.

[0112] The association unit 711 is used to associate each second field data with the field identifier according to the second preset rule table, wherein the second preset rule table records the field identifiers corresponding to several attribute information.

[0113] The judgment unit 703 is further configured to access the AI ​​real estate information database and determine whether the AI ​​real estate information database contains data for a second field corresponding to the target field identifier. If it does not exist, it is determined that an AI real estate information data source needs to be configured. If it exists, it is determined that an AI real estate information data source does not need to be configured.

[0114] Configuration unit 704 is also used to configure the AI ​​real estate information database according to the target page identifier.

[0115] The acquisition unit 705 is also used to acquire the second field data corresponding to the target field identifier in the AI ​​real estate information database.

[0116] The data entry unit 706 is also used to enter the corresponding second field data in multiple input boxes on the data entry page.

[0117] The receiving unit 701 is also configured to receive a property information deletion instruction, wherein the property information deletion instruction includes a target page identifier and an identifier of the field to be deleted.

[0118] The deletion unit 712 is used to delete the field data in the input box on the input page that corresponds to the field identifier to be deleted.

[0119] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of the present invention. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0120] Figure 8 This is a schematic diagram of the structure of a computer device provided in Embodiment 8 of the present invention. Figure 8 As shown, the computer device of this embodiment includes: at least one processor ( Figure 8 Only one is shown in the diagram), a memory, and a computer program stored in the memory and executable on at least one processor, which, when executed by the processor, implements the steps in any of the recommended method embodiments described above.

[0121] This computer device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that... Figure 8 The examples of computer devices are merely examples and do not constitute a limitation on computer devices. Computer devices may include more or fewer components than shown in the illustration, or combinations of certain components, or different components, such as network interfaces, displays, and input devices.

[0122] The processor referred to can be a CPU, but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0123] Memory includes readable storage media, internal memory, etc., wherein internal memory can be the RAM of a computer device, providing an environment for the operation of the operating system and computer-readable instructions stored in the readable storage media. The readable storage media can be the hard drive of a computer device, or in other embodiments, it can be an external storage device of the computer device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, memory can include both internal storage units and external storage devices of a computer device. Memory is used to store the operating system, applications, bootloader, data, and other programs, such as program code for computer programs. Memory can also be used to temporarily store data that has been output or will be output.

[0124] Those skilled in the art will understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the functions described above can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this invention. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here. If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the above-described embodiments by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the above-described method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. A computer-readable medium can include at least: any entity or device capable of carrying computer program code, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, a computer-readable medium cannot be an electrical carrier signal or a telecommunication signal.

[0125] The present invention can implement all or part of the processes in the methods of the above embodiments, or it can be accomplished by a computer program product. When the computer program product is run on a computer device, the computer device executes the steps in the above method embodiments.

[0126] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0127] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein 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 implementations should not be considered beyond the scope of this invention.

[0128] In the embodiments provided by this invention, it should be understood that the disclosed apparatus / computer devices and methods can be implemented in other ways. For example, the apparatus / computer device embodiments described above are merely illustrative. For instance, the division of modules or 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 mutual 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.

[0129] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0130] The above provides a detailed description of the real estate information supplementation method, apparatus, computer equipment, and storage medium provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for supplementing real estate information, characterized in that, The method includes: Receive a property information supplementation instruction, wherein the property information supplementation instruction includes a target page identifier; The first preset rule table is used to query the target field identifier corresponding to the target page identifier. The first preset rule table records the field identifiers corresponding to multiple page identifiers. Determine whether an AI-powered real estate information data source needs to be configured. If so, configure the AI ​​real estate information data source according to the target page identifier; Obtain the first field data corresponding to the target field identifier from the AI ​​real estate information data source; Enter the corresponding data for the first field in the multiple input boxes on the input page; The data information carried by each of the first field data includes the data generation time, data type, and the normal value range corresponding to the first field data; The method further includes: Using web crawling tools to crawl real estate information data within a target area from third-party information platforms or to receive real estate information data uploaded by customers; The real estate information data is stored in a pre-built AI real estate information database; Determine the attribute information of each second field in the property information data; According to the second preset rule table, each second field data is associated with the field identifier. The second preset rule table records the field identifiers corresponding to several attribute information. The data information carried by each of the second field data includes the data generation time, data type, and the normal value range corresponding to the second field data; The steps for determining whether to configure an AI real estate information data source include: Access the AI ​​real estate information database; Determine whether the AI ​​real estate information database contains data for a second field corresponding to the target field identifier; If it does not exist, then you need to configure an AI real estate information data source. If it exists, then it is determined that no AI real estate information data source needs to be configured; After determining that no AI real estate information data source needs to be configured, the method further includes: Configure the AI ​​real estate information database according to the target page identifier; Obtain the second field data corresponding to the target field identifier from the AI ​​real estate information database; Enter the corresponding data for the second field in the multiple input boxes on the input page.

2. The method for supplementing real estate information as described in claim 1, characterized in that, The field identifiers include one or more of the following combinations: land acquisition method, building use, land use, land use term, land start date, land expiration date, completion date, year of construction, address, construction area, and building floor.

3. The method for supplementing real estate information as described in claim 1, characterized in that, The method also includes: automatically and in real-time monitoring of data changes in the AI ​​real estate information data source through AI processes.

4. The method for supplementing real estate information as described in claim 1, characterized in that, The method further includes: Receive a property information deletion instruction, the property information deletion instruction including a target page identifier and an identifier of the field to be deleted; Delete the field data in the input box on the input page that corresponds to the field identifier to be deleted.

5. A real estate information supplementation device, characterized in that, The device includes: A receiving unit is configured to receive a property information supplementation instruction, wherein the property information supplementation instruction includes a target page identifier; The query unit is used to query the target field identifier corresponding to the target page identifier according to the first preset rule table, wherein the first preset rule table records the field identifiers corresponding to multiple page identifiers; The decision unit is used to determine whether an AI real estate information data source needs to be configured. The configuration unit is used to configure the AI ​​real estate information data source according to the target page identifier when it is necessary to configure the AI ​​real estate information data source; The acquisition unit is used to acquire the first field data corresponding to the target field identifier in the AI ​​real estate information data source; The data entry unit is used to enter the corresponding data of the first field in multiple input boxes on the data entry page; The data information carried by each of the first field data includes the data generation time, data type, and the normal value range corresponding to the first field data; The device further includes: The data unit is used to crawl real estate information data within a target area from a third-party information platform using web crawling tools or to receive real estate information data uploaded by customers. A storage unit is used to store the real estate information data in a pre-built AI real estate information database; An attribute information determination unit is used to determine the attribute information of each second field data in the real estate information data; The association unit is used to associate each second field data with the field identifier according to the second preset rule table, wherein the second preset rule table records the field identifiers corresponding to several attribute information; The data information carried by each of the second field data includes the data generation time, data type, and the normal value range corresponding to the second field data; The judgment unit is also used to access the AI ​​real estate information database and determine whether there is second field data corresponding to the target field identifier in the AI ​​real estate information database; if it does not exist, it is determined that the AI ​​real estate information data source needs to be configured; if it exists, it is determined that the AI ​​real estate information data source does not need to be configured. The configuration unit is also used to configure the AI ​​real estate information database according to the target page identifier; The acquisition unit is further configured to acquire second field data corresponding to the target field identifier in the AI ​​real estate information database; The data entry unit is also used to enter the corresponding second field data in multiple input boxes on the data entry page.

6. A computer device, characterized in that, The computer device includes: a memory storing at least one instruction; and a processor executing the instructions stored in the memory to implement the real estate information supplementation method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which is executed by a processor in a computer device to implement the real estate information supplementation method as described in any one of claims 1 to 4.

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