Real estate auditing business partitioning system and method based on snakelike algorithm model

By using a snake-shaped algorithm model for task correlation analysis and a dynamic rule engine, the problem of uneven task allocation in real estate review business was solved, enabling fast and efficient task allocation and dynamic adjustment, and improving allocation fairness and efficiency.

CN121304397APending Publication Date: 2026-01-09CHENGDU FANGLIAN CLOUD CODE TECH CO LTD
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Patent Information

Application Number
CN202511330184.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-17
Publication Date
2026-01-09

AI Technical Summary

Technical Problem

Existing technologies lack a component-based logic that balances spatial continuity, business indicators, and computational efficiency in real estate review processes, resulting in uneven allocation, low efficiency, and difficulty in adapting to dynamic changes in projects.

Method used

Employing a serpentine algorithm model, the inherent correlation attributes of business components are analyzed through a task correlation analysis module. Combined with a dynamic rule engine and a serpentine component processing module, the system achieves serpentine route allocation and conflict resolution for tasks, dynamically adjusts dispatch frequency and time, and automatically skips abnormal personnel.

Benefits of technology

The speed of generating component allocation plans has been improved from 1-2 hours to 1-5 minutes, increasing the number of business cases processed per day to 5,000. The number of components allocated by staff is dynamically balanced to ensure the achievement of monthly/annual performance targets and improve fairness and transparency.

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Abstract

The invention discloses a real estate auditing business partitioning system and method based on a snakelike algorithm model, and the system comprises a task correlation analysis module which is used for analyzing the internal correlation attributes of auditing business pieces, constructing a task logic network, and guaranteeing that correlation tasks are processed by the same working group; the dynamic rule engine module is used for configuring a partition business rule; and the snakelike partition processing module is used for executing partition according to a snakelike line according to a partition service rule. According to the method, the full-automatic distribution and delivery process is adopted, the labor cost is saved, the distribution number of workers can be dynamically balanced, and it is ensured that monthly / annual performance goals are collaboratively achieved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of real estate related business auditing, and particularly relates to a real estate auditing business sub-piece system and method based on a snake algorithm model. BACKGROUND

[0002] In the actual operation of the real estate related auditing business using sub-pieces, two methods are currently generally used: one is to rely on manual experience division, and the other is to apply a basic algorithm model (such as sequential sub-piece). The disadvantages of manual division are obvious: strong subjectivity leads to uneven distribution, there may be risks, low efficiency, and it is difficult to adapt to project dynamics. The problem of the basic algorithm model is that the sub-piece result is often poor in balance (such as a large difference in the number of sub-pieces for staff), and it is difficult to solve the goal of relatively balanced monthly and annual performance. The existing technology lacks a set of sub-piece logic that can balance spatial continuity, business index balance, and calculation efficiency, and it is difficult to effectively deal with the complex nonlinear business constraints in real estate projects. SUMMARY

[0003] In view of the above technical problems, the present application provides a real estate auditing business sub-piece system and method based on a snake algorithm model.

[0004] The present application is implemented by using the following technical solutions: a real estate auditing business sub-piece system based on a snake algorithm model, comprising: a task correlation analysis module: used to analyze the internal correlation attributes of the auditing business piece, construct a task logic network, and ensure that the related tasks are processed by the same work group; a dynamic rule engine module: used to configure sub-piece business rules; a snake sub-piece processing module: used to execute sub-pieces according to the sub-piece business rules along the snake line.

[0005] Further, the task correlation analysis module includes a business piece database and a sub-piece pool; the business piece database is used to store business piece information, including one or more of business piece ID, business type, sub-piece number, sub-piece person, sub-piece time, and sub-piece state; and the sub-piece pool is used to store business piece queue information with logical correlation.

[0006] Further, the sub-piece business rules include: randomness control, randomly taking the business pieces in the sub-piece pool that can be processed; work group control, setting the work group snake dynamic automatic delivery; automatic delivery frequency and time control, setting the delivery frequency and delivery time of each department by the administrator.

[0007] Further, the snake sub-piece processing module includes: A queue generating unit traverses the service queue in a snake-like route to ensure continuous distribution of associated tasks; A conflict resolution unit starts a postponement distribution mechanism and automatically skips the target auditor and distributes to the next auditor in the queue when detecting abnormal state of the target auditor during the distribution process.

[0008] A real estate audit service distribution method based on a snake-like algorithm model, realized based on the above-mentioned real estate audit service distribution system based on a snake-like algorithm model, comprising the following steps: S1: task preprocessing; S2: generating a snake-like queue; S3: loading service rules; S4: executing a distribution scheme.

[0009] Further, step S1 specifically comprises: marking the task association based on the distribution ID, service type, service name and personnel list for the to-be-audited service.

[0010] Further, step S2 specifically comprises: distributing to the personnel on the list in the period in a snake-like path according to ascending order of distribution time, wherein the service data of the same service type is distributed to the same working group personnel.

[0011] Further, step S3 specifically comprises: identifying the distribution frequency and distribution time of the day, processing according to the distribution setting logic, and identifying the personnel in an abnormal state of the day and skipping the personnel in the abnormal state.

[0012] Further, step S4 specifically comprises: distributing the service according to the distribution scheme rule, synchronously pushing to the related interface of the auditor, marking as completed by the system after the processing of each auditor, and generating a service summary statistics list.

[0013] The beneficial effects of the present application are: The present application can improve the distribution scheme generation from 1-2 hours to 1-5 minutes, use the state-driven postponement distribution mechanism to improve the operation convenience, automatically skip the personnel on leave, postpone to the next available auditor, and reduce the need for manual scheduling, use the snake-like queue batch generation + conflict block parallel optimization technical means, and increase the number of single-day processed service from 200 to 5000.

[0014] The present application adopts a fully automatic distribution and distribution process, saves labor cost, dynamically balances the number of distributed services, ensures the coordinated achievement of monthly / annual performance targets, and improves fairness and transparency, and can radically solve the problem of unfair distribution caused by experience dependence. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from the structures shown in the drawings without creative labor.

[0016] Figure 1 System block diagram of the present application. DETAILED DESCRIPTION

[0017] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0018] It should be noted that similar reference numerals and letters indicate similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0019] The following will describe some embodiments of the present application in combination with the drawings. The following embodiments and features in the embodiments can be combined with each other without conflict.

[0020] Referring to Figure 1 A real estate audit business sub-task system based on a snake algorithm model, comprising: A task correlation analysis module is used to analyze the internal correlation attributes of the audit business task, build a task logic network, and ensure that the correlated tasks are processed by the same work group. A dynamic rule engine module is used to configure sub-task business rules. A snake sub-task processing module is used to execute sub-tasks according to the sub-task business rules along the snake line.

[0021] The main function of the task correlation analysis module is to analyze the internal correlation attributes of the audit business task (such as the same business type), build a task logic network, and ensure that the correlated tasks are processed by the same work group (such as the pre-sale plan audit business is uniformly processed by the commercial housing sales management department). It includes a business task database and a sub-task pool; the business task database is used to store business task information, including one or more of business task ID, business type, sub-task number, sub-task person, sub-task time and sub-task state; the sub-task pool is used to store business task queue information with logical correlation.

[0022] The main function of the dynamic rule engine module is to configure the sub-piece business rule. It includes: randomness control: randomly taking a sub-piece in the sub-piece pool that can be processed (such as Zhang San can only take a random one of the three sub-pieces in the sub-piece pool); work group control: setting the work group snake-shaped dynamic sub-piece (such as the list is ABCD, B is on leave, then A and C take one piece to handle); automatic delivery frequency and time control: the administrator can set the delivery frequency and delivery time of each department (such as the commodity housing sales management department sets the sub-piece frequency of the pre-sale plan audit business to 2 times a day, at 09:00 and 13:00).

[0023] The main function of the snake-shaped sub-piece processing module is to execute the sub-piece according to the sub-piece business rule along the snake-shaped line. It includes: queue generation unit: traversing the business piece queue along the snake-shaped line (zigzag return) to ensure continuous allocation of associated tasks; conflict resolution unit: when the target auditor state is abnormal (such as on leave) during the delivery process, the delivery mechanism is started, and the next order auditor in the queue is automatically skipped and allocated.

[0024] A real estate audit business sub-piece method based on a snake-shaped algorithm model is realized based on the above-mentioned real estate audit business sub-piece system based on a snake-shaped algorithm model, including the following steps: Step one: system deployment and initialization Hardware environment: use conventional servers (support GPU acceleration) and auditor terminal devices (such as computers, tablets); software environment: deploy business databases (store information about pending audits) and rule configuration interfaces (for administrators to operate).

[0025] Step two, task preprocessing step Data access: obtain the pending audit from the business system, including basic fields: business piece ID, business type, business name, generation time, etc. Data cleaning: automatically filter missing key fields or duplicate business pieces, such as duplicate scheme number data for pre-sale permit scheme business; association annotation: mark business pieces of the same department and the same type of business as "associated task group" to ensure subsequent allocation to the same department for processing.

[0026] Step three, snake-shaped sub-piece process Sort by ascending order of business piece generation time; group by department (such as commodity housing sales management department); snake-shaped path allocation (take the department personnel list of 6 people as an example, 2 groups in 2 columns): first round: AB→>CD→>EF; second round: if A is on leave, then the new arrangement group is BC→DE→FB (zigzag return).

[0027] Step four, dynamic rule configuration Random control: Set random allocation of parts pool (such as 1 piece of 5 business parts). Work group control configuration department snake list (such as Zhang San, Li Si, Wang Wu, Wang Er, 2 people in a group), and the personnel on leave are automatically skipped. Delivery frequency: set the number of daily delivery according to the department (such as 09:00, 13:00 each time).

[0028] Step five, conflict processing and task assignment Detect the state of the auditor (such as on duty / on leave), and if the state is abnormal (such as on leave), automatically skip this person, assign the task to the next person on the list, and push the delivery result to the auditor operation interface in real time.

[0029] Step six, result feedback and optimization Business total statistics: the total number of business parts handled by personnel in each department on the same day; processing time analysis: the average time (accurate to minutes) from delivery to completion; task homogeneity rate: the proportion of related business parts handled by the same work group (such as whether the pre-existing sales plan audit business is handled by the commercial housing sales management department.

[0030] The application uses the technical means of local path rerouting + GPU parallel computing to improve the generation of part scheme from 1-2 hours to 1-5 minutes; uses the technical means of state-driven delay delivery mechanism to improve the operation convenience, automatically skips the personnel on leave → delays to the next available auditor → reduces the need for manual scheduling; uses the technical means of snake queue batch generation + conflict block parallel optimization to increase the number of daily processing business parts from 200 to 5000.

[0031] For the foregoing embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the application is not limited by the order of the described actions, because according to the application, some steps can be performed in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily required by the application.

[0032] In the above embodiments, the basic principles and main features of the application and the advantages of the application are described. Those skilled in the art should understand that the application is not limited by the above embodiments, and the above embodiments and the description in the specification are only to illustrate the principles of the application, and any modification and change made by those skilled in the art without departing from the spirit and scope of the application should be within the protection scope of the claims of the application.

Claims

1. A real estate audit business sub-system based on a snake algorithm model, characterized in that, Comprise: Task correlation analysis module: to analyze the internal correlation attributes of the audit business, build task logic network, ensure that the related tasks are handled by the same work group; Dynamic rule engine module: to configure sub-piece business rules; Snake-shaped sub-piece processing module: to execute sub-pieces according to the sub-piece business rules according to the snake-shaped line.

2. The real estate auditing service sub-system based on the snake algorithm model according to claim 1, wherein, The task correlation analysis module includes a business database and a sub-piece pool; The business database is used to store business information, including one or more of business ID, business type, sub-piece number, sub-piece person, sub-piece time and sub-piece state; The sub-piece pool is used to store business queue information with logical association relationship.

3. The real estate auditing service sub-system based on the snake algorithm model according to claim 1, wherein, The sub-piece business rules include: Randomness control, randomly taking the business in the sub-piece pool that can be processed; Work group control, set the work group snake-shaped dynamic automatic delivery; Automatic delivery frequency and time control, set the delivery frequency and time of each department by the administrator.

4. The real estate auditing service sub-system based on the snake algorithm model according to claim 1, wherein, The snake-shaped sub-piece processing module includes: Queue generation unit, traverse the business queue according to the snake-shaped route, ensure the continuous allocation of related tasks; Conflict resolution unit, when the target auditor state is abnormal during the delivery process, start the postponement delivery mechanism, automatically skip the staff and distribute to the next order auditor in the queue.

5. A real estate audit business sub-module method based on a snake algorithm model, based on the real estate audit business sub-module system based on the snake algorithm model of any one of claims 1-4, characterized in that, Comprise the following steps: S1: task preprocessing; S2: generate snake-shaped queue; S3: load business rules; S4: execute delivery scheme.

6. The method of claim 5, wherein the method further comprises: determining whether the first and second real estate business data are consistent with each other; and if the first and second real estate business data are not consistent with each other, then generating a warning message. Step S1 is: to mark the task correlation based on sub-piece ID, business type, business name and personnel list.

7. The method of claim 5, wherein the method further comprises: determining whether the first and second real estate business data are consistent with each other; and if the first and second real estate business data are not consistent with each other, then generating a warning message. Step S2 is: sort by ascending order of sub-piece time, and distribute to the personnel list in the period according to the snake-shaped path, wherein the same business type of business data must be distributed to the same work group personnel.

8. The method of claim 5, wherein the method further comprises: determining whether the first and second data are consistent with each other; and if the first and second data are not consistent with each other, then generating a warning message. Step S3 is: identify the delivery frequency and delivery time of the day, process according to the delivery setting logic, and identify the personnel with abnormal state at the same time, and skip the personnel with abnormal state.

9. The method for segmenting real estate review processes based on a snake-like algorithm model as described in claim 5, characterized in that, Step S4 is: distribute the business according to the distribution scheme rule, and push to the related interface of the auditor at the same time, after each auditor handles it, the system automatically marks it as completed, and generates a summary statistics list of the business.