Cell income monitoring method, system and equipment based on dynamic measurement and calculation, and medium

Abstract

The invention provides a cell income monitoring method, system and device based on dynamic measurement and calculation and a medium, and the method comprises the steps: creating and maintaining a database which comprises the creation of an internal system database, an external reference database and a rule base; obtaining project declaration data filled in by a property management system; dynamically configuring a calculation formula corresponding to the project declaration data according to a rule base and an external reference database, calculating a stress declaration amount through the configured calculation formula, and writing related data as a record into an internal system database; comparing the stress declaration amount with the obtained actual declaration amount, starting a multi-level early warning mechanism according to a preset deviation threshold range, and triggering a corresponding disposal process; and S5, pushing a visual interface to the property user and the owner user, and displaying a measurement basis, a measurement result and early warning information. According to the invention, reasonable measurement and calculation of public income can be realized, the supervision efficiency is improved, and transparent supervision is realized.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology, and in particular to a method, system, device and medium for monitoring community revenue based on dynamic calculation. Background Technology

[0002] Currently, the management of community public revenue generally relies on traditional property management software or simple financial accounting systems. The main function of these systems is to record the income and expenditure data reported unilaterally by the property management company; their core function is "bookkeeping" rather than "verification." Data entry, calculation, and reporting all depend on manual operation, lacking automated and objective third-party verification mechanisms.

[0003] The existing property management system suffers from the following main problems: 1. Lack of valuation standards and calculation basis. For example, the revenue calculation of public resources such as advertising spaces, parking spaces, and venues lacks a scientific and unified pricing benchmark, and the revenue calculation is highly subjective, lacking fairness and rationality; 2. Outdated and inefficient supervision methods. Current supervision methods rely heavily on post-event manual spot checks and owner complaints. It is difficult for regulatory departments to quickly detect anomalies from a large amount of reported data, resulting in low supervision efficiency; 3. Low process transparency. The entire management process suffers from a lack of transparency, making it difficult for owners' committees and owners to effectively exercise their right to know and right to supervise, which can easily lead to conflicts and disputes.

[0004] In view of this, there is an urgent need to study an intelligent calculation system for the public revenue of residential communities in order to improve the efficiency of property management. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method, system, equipment and medium for dynamically calculating community revenue monitoring, thereby solving the problems of insufficient rationality in property management and low supervision efficiency.

[0006] In a first aspect, the present invention provides a method for monitoring cell revenue based on dynamic calculation, comprising the following steps: Step S1: Create and maintain a database, which includes creating an internal system database, an external benchmark database, and a rule base. The internal system database is used to store basic information on public revenue projects within the community. The external benchmark database is used to store government-guided prices and market price data for surrounding areas. The rule base is used to record calculation rules and early warning rules corresponding to projects in different areas. The rule base supports dynamic configuration. Step S2: Obtain the project application data filled in by the property management company. The project application data includes the name of the community, the location of the community, the revenue projects, the quantity, and the actual declared amount. Step S3: Dynamically configure a calculation formula corresponding to the project application data based on the rule base and external benchmark database. Calculate the amount that should be declared using the configured calculation formula, and write the project application data, the rules used, the benchmark data, the calculation process, and the calculated amount that should be declared as a record into the internal system database. Step S4: Compare the amount that should have been declared with the actual amount that was actually declared. Based on the preset deviation threshold range, activate the multi-level early warning mechanism and trigger the corresponding handling process. Step S5: Push a visual interface to property users and homeowners to display the calculation basis, calculation results and early warning information.

[0007] Furthermore, step S3 specifically includes: Step S31: Call the internal system database to parse the cell location and determine its administrative division; Step S32: Call the rule base to obtain the calculation rules for the current application project in the corresponding administrative region, and call the external benchmark database to obtain the government guidance price and recent market price of the current project in the current administrative region; Step S33: Based on the obtained calculation rules, government guidance price, and recent market price, dynamically configure a calculation formula corresponding to the project application data, and calculate the theoretical profit value as the theoretical application amount.

[0008] Furthermore, the calculation rule is as follows: Theoretical benchmark unit price P_theoretical = Max(P_government, P_market_adjusted) Where Max() represents the maximum value function, P_government represents the government-guided price, i.e., the guiding price issued by the government department, P_market_adjusted represents the adjusted market price, i.e., the representative price obtained after processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 × (1 + α), Market_Avg represents the arithmetic mean of the collected effective market sample prices, Market_Median represents the median of the collected effective market sample prices, and α represents the regional adjustment coefficient, which is a fine-tuning coefficient determined according to the specific location, grade, and supporting facilities of the community, and supports dynamic configuration.

[0009] Furthermore, step S4 specifically includes: Obtain actual and theoretical declared values, read the corresponding early warning threshold rules from the rule base, calculate the deviation rate between the declared and theoretical values, compare the deviation rate with the early warning threshold to determine the early warning level, trigger the corresponding handling event based on the early warning level, and store the results in the internal system database. If there is no warning, the application status will be automatically updated to "approved", the result of "submission successful" will be returned to the property user, and the approval result will be pushed through the regulatory API interface, and the process will end. If a yellow alert is issued, the approval process will be suspended, the approval status will be pushed through the regulatory API interface, and the result interface will be pushed to the property user to notify them of the supplementary explanatory materials required. If an orange alert is issued, the approval will fail. The approval status will be pushed through the regulatory API interface, and the approval process for the application will be frozen so that it cannot be automatically approved. The result interface will then be returned to the property user. If a red alert is issued, the process will be frozen, and the alert information and declaration details will be proactively pushed to the regulatory platform of the regulatory authority via the regulatory API interface.

[0010] Secondly, the present invention provides a community revenue monitoring system based on dynamic calculation, comprising: The database module is used to create and maintain the database, which includes an internal system database, an external benchmark database, and a rule base. The internal system database is used to store basic information on public revenue projects within the community. The external benchmark database is used to store government-guided prices and market price data for surrounding areas. The rule base is used to record calculation rules and early warning rules corresponding to projects in different areas. The rule base supports dynamic configuration. The application module is used to obtain project application data filled in by the property management. The project application data includes the name of the community, the location of the community, the revenue projects, the quantity, and the actual declared amount. The automatic calculation module is used to dynamically configure a calculation formula corresponding to the project application data based on the rule base and external benchmark database. The module calculates the amount that should be declared based on the configured calculation formula and writes the project application data, the rules used, the benchmark data, the calculation process and the calculated amount that should be declared as a record into the internal system database. The early warning module is used to compare the amount that should be declared with the actual amount declared, and to activate a multi-level early warning mechanism and trigger the corresponding handling process based on the preset deviation threshold range. The visualization module is used to push a visual interface to property users and homeowners, displaying the calculation basis, calculation results, and early warning information.

[0011] Furthermore, the automatic calculation module specifically includes: The system calls the internal database to parse the location of the cell and determine its administrative division. Call the rule base to obtain the calculation rules for the current application project in the corresponding administrative region, and call the external benchmark database to obtain the government guidance price and recent market price of the current project in the current administrative region; Based on the obtained calculation rules, government guidance prices, and recent market prices, a calculation formula corresponding to the project application data is dynamically configured to calculate the theoretical profit value as the theoretical application amount.

[0012] Furthermore, the calculation rule is as follows: Theoretical benchmark unit price P_theoretical = Max(P_government, P_market_adjusted) Where Max() represents the maximum value function, P_government represents the government-guided price, i.e., the guiding price issued by the government department, P_market_adjusted represents the adjusted market price, i.e., the representative price obtained after processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 × (1 + α), Market_Avg represents the arithmetic mean of the collected effective market sample prices, Market_Median represents the median of the collected effective market sample prices, and α represents the regional adjustment coefficient, which is a fine-tuning coefficient determined according to the specific location, grade, and supporting facilities of the community, and supports dynamic configuration.

[0013] Furthermore, the early warning module specifically includes: Obtain actual and theoretical declared values, read the corresponding early warning threshold rules from the rule base, calculate the deviation rate between the declared and theoretical values, compare the deviation rate with the early warning threshold to determine the early warning level, trigger the corresponding handling event based on the early warning level, and store the results in the internal system database. If there is no warning, the application status will be automatically updated to "approved", the result of "submission successful" will be returned to the property user, and the approval result will be pushed through the regulatory API interface, and the process will end. If a yellow alert is issued, the approval process will be suspended, the approval status will be pushed through the regulatory API interface, and the result interface will be pushed to the property user to notify them of the supplementary explanatory materials required. If an orange alert is issued, the approval will fail. The approval status will be pushed through the regulatory API interface, and the approval process for the application will be frozen so that it cannot be automatically approved. The result interface will then be returned to the property user. If a red alert is issued, the process will be frozen, and the alert information and declaration details will be proactively pushed to the regulatory platform of the regulatory authority via the regulatory API interface.

[0014] Thirdly, the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in the first aspect.

[0015] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0016] One or more technical solutions provided by this invention have at least the following technical effects or advantages: 1. It provides a scientific and unified valuation standard: Through dynamic rule configuration, it provides a dynamic, reasonable and flexibly adjustable price benchmark for the public revenue calculation of different regions and projects, overcoming the drawbacks of subjective valuation and inconsistent standards under the traditional method, and greatly improving the scientificity and fairness of the calculation results; 2. An efficient and precise automated regulatory mechanism has been established: Through a multi-level early warning mechanism, the regulatory checkpoint is moved forward, changing from post-event spot checks to in-process intervention or even pre-event prevention. It can automatically and in real time identify abnormal reports and automatically trigger differentiated handling processes according to risk levels, which greatly frees up regulatory manpower, improves regulatory efficiency and accuracy, and effectively curbs violations. 3. Achieved transparency and credibility in public revenue management: By integrating multi-source data, external objective data sources were introduced to cross-verify the data reported by property management companies, breaking down information silos and solving the data credibility problem from the source. Information was proactively presented to the owners, effectively protecting their right to know and right to supervise. 4. Improved management efficiency and reduced dispute risk: The entire process has been transformed from manual data entry and calculation to automated calculation and verification, which has greatly reduced the problems caused by manual operation and subjective judgment. This not only improves work efficiency, but also effectively reduces potential conflicts and disputes between property management, owners' committee and regulatory departments due to its objective, transparent and evidence-based characteristics, thus promoting community harmony. Attached Figure Description

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0018] Figure 1 This is an execution flowchart of the community revenue monitoring method based on dynamic calculation in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system architecture layer structure corresponding to the community revenue monitoring method based on dynamic calculation in Embodiment 2 of the present invention.

[0019] Figure 3 This is a schematic diagram of the community revenue monitoring system based on dynamic calculation in Embodiment 2 of the present invention; Figure 4 This is a schematic diagram of the electronic device in Embodiment 3 of the present invention; Figure 5 This is a schematic diagram of the structure of the medium in Embodiment 4 of the present invention. Detailed Implementation

[0020] This application provides a method, system, device, and medium for dynamically calculating community revenue monitoring, which can achieve reasonable calculation of public revenue, improve regulatory efficiency, and realize transparent supervision.

[0021] The overall idea of ​​the technical solution in this application embodiment is as follows: Construct a smart calculation and supervision system for community public revenue based on "multi-source data fusion", with "dynamic rules" as the core and "intelligent anomaly detection" as the guarantee. By acquiring multi-source data and maintaining them separately, the system integrates internal system data (such as the number of parking spaces and the list of advertising spaces in the property management system) and external benchmark data (such as government-guided prices and market prices in the surrounding area) through the system interface to form a real and multi-dimensional data support environment. Then, a flexibly configurable dynamic rule is designed to allow different calculation rules and price benchmarks to be preset according to the policies and market characteristics of different administrative divisions (cities, districts). When property management companies submit their application data, the system automatically matches the rules of their region and uses relevant internal and external benchmark data for "dual-track verification" (i.e., comparing government-guided prices with market prices) to calculate a scientific and reasonable theoretical return value for user reference. Simultaneously, it provides efficient monitoring and supervision: comparing the theoretical value automatically calculated by the system with the actual value submitted by the property management company, and based on preset deviation thresholds, initiating a multi-level early warning mechanism and automatically triggering corresponding handling procedures (such as requiring supplementary explanations, freezing the approval process, or directly pushing to the regulatory platform). This achieves early warning during and even before the event. Finally, the calculation process, results, and early warning information are transparently displayed to property management companies, owners' committees, and regulatory departments through a visual page, forming a new management model of "data-driven, automatic early warning, and multi-party supervision."

[0022] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods. Example 1

[0023] like Figure 1 As shown, this embodiment provides a method for monitoring community revenue based on dynamic calculation, including the following steps: Step S1: Create and maintain a database, which includes creating an internal system database, an external benchmark database, and a rule base. The internal system database is used to store basic information on public revenue projects within the community. The external benchmark database is used to store government-guided prices and market price data for surrounding areas. The rule base is used to record calculation rules and early warning rules corresponding to projects in different areas. The rule base supports dynamic configuration. Step S2: Obtain the project application data filled in by the property management company. The project application data includes the name of the community, the location of the community, the revenue projects, the quantity, and the actual declared amount. Step S3: Dynamically configure a calculation formula corresponding to the project application data based on the rule base and external benchmark database. Calculate the amount that should be declared using the configured calculation formula, and write the project application data, the rules used, the benchmark data, the calculation process, and the calculated amount that should be declared as a record into the internal system database. Step S4: Compare the amount that should have been declared with the actual amount that was actually declared. Based on the preset deviation threshold range, activate the multi-level early warning mechanism and trigger the corresponding handling process. Step S5: Push a visual interface to property users and homeowners to display the calculation basis, calculation results and early warning information.

[0024] Preferably, step S3 specifically includes: Step S31: Call the internal system database to parse the cell location and determine its administrative division; Step S32: Call the rule base to obtain the calculation rules for the current application project in the corresponding administrative region, and call the external benchmark database to obtain the government guidance price and recent market price of the current project in the current administrative region; Step S33: Based on the obtained calculation rules, government guidance price, and recent market price, dynamically configure a calculation formula corresponding to the project application data, and calculate the theoretical profit value as the theoretical application amount.

[0025] Preferably, the calculation rule is as follows: Theoretical benchmark unit price P_theoretical = Max(P_government, P_market_adjusted) Where Max() represents the maximum value function, P_government represents the government-guided price, i.e., the guiding price issued by the government department, P_market_adjusted represents the adjusted market price, i.e., the representative price obtained after processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 × (1 + α), Market_Avg represents the arithmetic mean of the collected effective market sample prices, Market_Median represents the median of the collected effective market sample prices, and α represents the regional adjustment coefficient. The regional adjustment coefficient is a fine-tuning coefficient determined according to the specific location, grade, and supporting facilities of the community, and supports dynamic configuration (e.g., α=0.1 for high-end properties, α=0 for ordinary properties, and α=-0.05 for old communities) and is stored in the rule base.

[0026] Public revenue is the common asset of all owners, and its valuation should follow the principle of "choosing the higher value" to maximize the protection of owners' rights. If the market price is higher than the government-guided price, it indicates that the government-guided price may be lagging behind, and the market price, which is closer to the actual market situation, should be adopted. If the government-guided price is even higher, it indicates that the market is undervalued or that the government has implemented strong regulation, and government regulations should be followed.

[0027] Preferably, step S4 specifically comprises: Obtain actual and theoretical declared values, read the corresponding early warning threshold rules from the rule base, calculate the deviation rate between the declared and theoretical values, compare the deviation rate with the early warning threshold to determine the early warning level, trigger the corresponding handling event based on the early warning level, and store the results in the internal system database. If there is no warning, the application status will be automatically updated to "approved", the result of "submission successful" will be returned to the property user, and the approval result will be pushed through the regulatory API interface, and the process will end. If a yellow alert is issued, the approval process will be suspended, the approval status will be pushed through the regulatory API interface, and the result interface will be pushed to the property user to notify them of the supplementary explanatory materials required. If an orange alert is issued, the approval will fail. The approval status will be pushed through the regulatory API interface, and the approval process for the application will be frozen so that it cannot be automatically approved. The result interface will then be returned to the property user. If a red alert is issued, the process will be frozen, and the alert information and declaration details will be proactively pushed to the regulatory platform of the regulatory authority via the regulatory API interface.

[0028] After property users upload their materials, or after supervisory users see a warning on the monitoring platform, a manual review will be conducted. Supervisory users log into the monitoring platform on their computers to review the detailed information of the application, the calculation process, the reason for the warning, and make a final approval decision: "reject," "approve," or "require resubmission." This decision is written to the database and the property user is notified.

[0029] In one specific embodiment, the method of the present invention may employ the following methods: Figure 2 The layered architecture shown includes, from top to bottom, the user layer, application layer, core service layer, support layer, and data layer. This architecture diagram illustrates the layered design of the system, with data flow from top to bottom (requests) and from bottom to top (returns). 1. User Layer: Users of all types access the system through a browser / client.

[0030] 2. Application Layer: Report entry and visualization: Receive user requests, retrieve data from the core layer, and render and display the results (data dashboard, early warning information, reports) to the user.

[0031] Regulatory Interface and Push Service: When a corresponding warning is issued, the warning information is proactively pushed to the regulatory platform, and the data is returned to the user.

[0032] 3. Core Service Layer: Intelligent calculation: Receive the declared data, request rules and benchmark prices from the data layer, perform "dual-track verification" and calculate the theoretical value.

[0033] Anomaly detection and early warning: The calculated theoretical values ​​are compared with user reports, and different levels of early warning signals are generated based on the deviation rate, triggering corresponding handling strategies.

[0034] 4. Support Layer: Rule Configuration and Management Module: Provides administrators with a graphical interface for maintaining (adding, deleting, modifying, and querying) calculation rules in the rule base.

[0035] Data cleaning and integration: Extracting data from internal and external data sources, cleaning, transforming and standardizing it to provide high-quality data in a unified format for the upper layer.

[0036] 5. Data Layer: Internal system database: Stores business data from the property management system, maintenance fund system, etc.

[0037] External benchmark database: Stores benchmark data such as government-guided prices and market prices obtained from external sources.

[0038] Rule base: Stores all configurable regionally differentiated calculation rules, including calculation rules and early warning rules.

[0039] The operation process of this invention is as follows: First, the application is submitted (user layer -> application layer). Then, intelligent calculation is triggered (application layer -> core service layer), and data acquisition and calculation are performed (core service layer -> data layer): After receiving the application data, the location of the community is parsed to determine its administrative division. A query request is sent to the database server to obtain the configuration rules (such as calculation formulas, fluctuation ranges, etc.) for the corresponding administrative division for the revenue project (such as elevator advertising) from the rule base, and to query the government guidance price and recent market price of elevator advertising space in the administrative division from the external benchmark database. Based on the obtained rules and benchmark data, a "dual-track verification" calculation is performed to obtain a scientific theoretical value. The detailed information of this application, the rules used, the benchmark data, the calculation process, and the obtained theoretical value are written as a record into the internal system database. Then, anomaly detection and early warning are performed (core service layer), triggering corresponding actions and completing feedback (core service layer -> application layer -> user / supervisory layer).

[0040] Based on the same inventive concept, this application also provides an apparatus corresponding to the method in Embodiment 1, as detailed in Embodiment 2. Example 2

[0041] like Figure 3 As shown, this embodiment provides a cell revenue monitoring system based on dynamic calculation, including: The database module is used to create and maintain the database, which includes an internal system database, an external benchmark database, and a rule base. The internal system database is used to store basic information on public revenue projects within the community. The external benchmark database is used to store government-guided prices and market price data for surrounding areas. The rule base is used to record calculation rules and early warning rules corresponding to projects in different areas. The rule base supports dynamic configuration. The application module is used to obtain project application data filled in by the property management. The project application data includes the name of the community, the location of the community, the revenue projects, the quantity, and the actual declared amount. The automatic calculation module is used to dynamically configure a calculation formula corresponding to the project application data based on the rule base and external benchmark database. The module calculates the amount that should be declared based on the configured calculation formula and writes the project application data, the rules used, the benchmark data, the calculation process and the calculated amount that should be declared as a record into the internal system database. The early warning module is used to compare the amount that should be declared with the actual amount declared, and to activate a multi-level early warning mechanism and trigger the corresponding handling process based on the preset deviation threshold range. The visualization module is used to push a visual interface to property users and homeowners, displaying the calculation basis, calculation results, and early warning information.

[0042] Preferably, the automatic calculation module specifically includes: The system calls the internal database to parse the location of the cell and determine its administrative division. Call the rule base to obtain the calculation rules for the current application project in the corresponding administrative region, and call the external benchmark database to obtain the government guidance price and recent market price of the current project in the current administrative region; Based on the obtained calculation rules, government guidance prices, and recent market prices, a calculation formula corresponding to the project application data is dynamically configured to calculate the theoretical profit value as the theoretical application amount.

[0043] Preferably, the calculation rule is as follows: Theoretical benchmark unit price P_theoretical = Max(P_government, P_market_adjusted) Where Max() represents the maximum value function, P_government represents the government-guided price, i.e., the guiding price issued by the government department, P_market_adjusted represents the adjusted market price, i.e., the representative price obtained after processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 × (1 + α), Market_Avg represents the arithmetic mean of the collected effective market sample prices, Market_Median represents the median of the collected effective market sample prices, and α represents the regional adjustment coefficient. The regional adjustment coefficient is a fine-tuning coefficient determined according to the specific location, grade, and supporting facilities of the community, and supports dynamic configuration (e.g., α=0.1 for high-end properties, α=0 for ordinary properties, and α=-0.05 for old communities) and is stored in the rule base.

[0044] Public revenue is the common asset of all owners, and its valuation should follow the principle of "choosing the higher value" to maximize the protection of owners' rights. If the market price is higher than the government-guided price, it indicates that the government-guided price may be lagging behind, and the market price, which is closer to the actual market situation, should be adopted. If the government-guided price is even higher, it indicates that the market is undervalued or that the government has implemented strong regulation, and government regulations should be followed.

[0045] Preferably, the early warning module specifically includes: Obtain actual and theoretical declared values, read the corresponding early warning threshold rules from the rule base, calculate the deviation rate between the declared and theoretical values, compare the deviation rate with the early warning threshold to determine the early warning level, trigger the corresponding handling event based on the early warning level, and store the results in the internal system database. If there is no warning, the application status will be automatically updated to "approved", the result of "submission successful" will be returned to the property user, and the approval result will be pushed through the regulatory API interface, and the process will end. If a yellow alert is issued, the approval process will be suspended, the approval status will be pushed through the regulatory API interface, and the result interface will be pushed to the property user to notify them of the supplementary explanatory materials required. If an orange alert is issued, the approval will fail. The approval status will be pushed through the regulatory API interface, and the approval process for the application will be frozen so that it cannot be automatically approved. The result interface will then be returned to the property user. If a red alert is issued, the process will be frozen, and the alert information and declaration details will be proactively pushed to the regulatory platform of the regulatory authority via the regulatory API interface.

[0046] Since the system described in Embodiment 2 of the present invention is a system used to implement the method of Embodiment 1 of the present invention, those skilled in the art can understand the specific structure and variations of the device based on the method described in Embodiment 1 of the present invention, and therefore will not be described again here. All systems used in the method of Embodiment 1 of the present invention fall within the scope of protection of the present invention.

[0047] Based on the same inventive concept, this application provides an electronic device embodiment corresponding to Embodiment 1, as detailed in Embodiment 3. Example 3

[0048] This embodiment provides an electronic device, such as... Figure 4 As shown, it includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can implement any of the embodiments in Example 1.

[0049] Since the electronic device described in this embodiment is the device used to implement the method in Embodiment 1 of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in Embodiment 1 of this application. Therefore, how the electronic device implements the method in the embodiment of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiment of this application falls within the scope of protection of this application.

[0050] Based on the same inventive concept, this application provides a storage medium corresponding to Embodiment 1, as detailed in Embodiment 4. Example 4

[0051] This embodiment provides a computer-readable storage medium, such as... Figure 5 As shown, a computer program is stored thereon, which, when executed by a processor, can implement any of the embodiments in Example 1.

[0052] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, devices, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] The technical solutions provided in this application embodiment have at least the following technical effects or advantages: This invention adopts a multi-source data fusion architecture and innovatively introduces external objective data sources (such as regional advertising market pricing data, real-time data from parking management systems, etc.) to cross-verify the public revenue and expenditure data unilaterally reported by property management companies, effectively breaking down information silos under the traditional management model. This invention ensures the authenticity and credibility of public revenue data from the source. Because the entire management process is supported by objective data, transparent operating procedures, and traceable rules, it effectively reduces potential conflicts and disputes between property management companies, owners' committees, and regulatory departments arising from revenue calculation disputes, creating a harmonious community management atmosphere and reducing community governance costs. By designing dynamic rule configurations, it provides a dynamic and flexibly adjustable price benchmark for calculating community public revenue, achieving both standardization and personalized adaptation in revenue calculation. This invention innovatively constructs an intelligent early warning strategy, transforming the regulatory model from traditional post-event manual spot checks to an automated regulatory mechanism combining real-time intervention and pre-event risk prevention. It automatically and in real-time identifies abnormal situations in revenue declarations by property management companies (such as falsely reporting revenue or pricing far exceeding reasonable market ranges), and automatically triggers differentiated handling procedures based on risk levels. This greatly reduces reliance on manual regulatory resources, significantly improves regulatory efficiency and accuracy, effectively curbs violations in public revenue management, and safeguards the legitimate returns of public assets.

[0054] While specific embodiments of the present invention have been described above, those skilled in the art should understand that the specific embodiments described are merely illustrative and not intended to limit the scope of the invention. Equivalent modifications and variations made by those skilled in the art in accordance with the spirit of the invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for monitoring cell revenue based on dynamic measurement, characterized in that: The method comprises the following steps: Step S1, creating and maintaining a database, which comprises creating an internal system database for storing basic information of public income projects in a cell, an external benchmark database for storing government guidance prices and market price data of surrounding areas, and a rule library for recording corresponding calculation rules and early warning rules of different regional projects, and the rule library supports dynamic configuration; Step S2, obtaining project declaration data filled by the property, which comprises cell name, cell location, income project, quantity, and actual declaration amount; Step S3, dynamically configuring a calculation formula corresponding to the project declaration data according to the rule library and the external benchmark database, calculating the should-declare amount through the configured calculation formula, and writing the project declaration data of this time, the used rules, the benchmark data, the calculation process, and the calculated should-declare amount as a record into the internal system database; Step S4, comparing the should-declare amount with the obtained actual declaration amount, starting a multi-level early warning mechanism according to a preset deviation threshold range, and triggering a corresponding disposal process; Step S5, pushing a visual interface to the property user and the owner user to show the calculation basis, the calculation result, and the early warning information.

2. The method of claim 1, wherein: The step S3 specifically comprises: Step S31, calling the internal system database, parsing the cell location, and determining its administrative division; Step S32, calling the rule library to obtain the calculation rules of the current declaration project corresponding to the administrative region, calling the external benchmark database to obtain the government guidance price and the recent market price of the current project in the current administrative region; Step S33, dynamically configuring a calculation formula corresponding to the project declaration data according to the obtained calculation rules, government guidance price, and recent market price, and calculating the theoretical income value as the theoretical declaration amount.

3. The method of claim 2, wherein: The calculation rule is: Theoretical benchmark unit price P_theoretical = Max (P_government, P_market_adjusted) Where Max() represents the maximum value function, P_government represents the government guidance price, i.e. the guidance price published by the government department, P_market_adjusted represents the adjusted market price, i.e. the representative price obtained by processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 × (1 + α), Market_Avg represents the arithmetic mean of the collected effective market sample prices, Market_Median represents the median of the collected effective market sample prices, and α represents the regional adjustment coefficient, which is a fine-tuning coefficient determined according to the specific location, grade, and supporting facilities of the cell, and supports dynamic configuration.

4. The method of claim 1, wherein: The step S4 specifically comprises: The actual declared value and the theoretical declared value are obtained, the corresponding early warning threshold rule is read from the rule library, the deviation rate of the declared value from the theoretical value is calculated, the deviation rate is compared with the early warning threshold to determine the early warning level, the corresponding disposal event is triggered according to the early warning level, and the result is stored in the internal system database: If there is no early warning, the declaration state is automatically updated to "audit passed", the result of "submission success" is returned to the property user, the approval result is pushed through the supervision API interface, and the process is ended; If it is a yellow early warning, the approval process is suspended, the approval status is pushed through the supervision API interface, and the result interface is pushed to the property user, notifying him of the supplementary materials needed; If it is an orange early warning, the approval fails, the approval status is pushed through the supervision API interface, and the approval process of the declaration form is frozen, so that it cannot be automatically passed, and the result interface is returned to the property user; If it is a red early warning, the process is frozen, and the early warning information and declaration details are immediately pushed to the supervision platform of the supervision department terminal through the supervision API interface.

5. A system for monitoring cell revenues based on dynamic measurements, characterized by: It comprises: A database module for creating and maintaining a database, the database comprising creating an internal system database, an external benchmark database and a rule library, the internal system database being used to store the basic information of the public income projects in the community, the external benchmark database being used to store the government guidance price and the market price data of the surrounding area, and the rule library being used to record the corresponding calculation rules and early warning rules of different regional projects, and the rule library supporting dynamic configuration; A declaration module for obtaining the project declaration data filled by the property, the project declaration data comprising the community name, the community location, the income project, the quantity and the actual declared amount; An automatic calculation module for dynamically configuring a calculation formula corresponding to the project declaration data according to the rule library and the external benchmark database, calculating the should-declared amount through the configured calculation formula, and writing the project declaration data of this declaration, the used rules, the benchmark data, the calculation process and the calculated should-declared amount as a record into the internal system database; An early warning module for comparing the should-declared amount with the obtained actual declared amount, starting a multi-level early warning mechanism according to the preset deviation threshold range, and triggering the corresponding disposal process; A visualization module for pushing a visualization interface to the property user and the owner user to display the calculation basis, the calculation result and the early warning information.

6. The system of claim 5, wherein: The automatic calculation module specifically comprises: Calling the internal system database, analyzing the community location, and determining its administrative division; Calling the rule library, obtaining the calculation rule of the current declaration project corresponding to the administrative region, calling the external benchmark database, and obtaining the government guidance price and the recent market price of the current project in the current administrative region; According to the obtained calculation rule and the government guidance price and the recent market price, a calculation formula corresponding to the project declaration data is dynamically configured, and the theoretical income value is calculated as the theoretical declared amount.

7. The system of claim 6, wherein: The calculation rule is: Theoretical benchmark unit price P_theoretical = Max (P_government, P_market_adjusted) Wherein, Max() represents the maximum value function, P_government represents the government guidance price, i.e. the guiding price issued by the government department, P_market_adjusted represents the adjusted market price, i.e. the representative price obtained after processing the original market data, P_market_adjusted = (Market_Avg + Market_Median) / 2 x (1 + α), Market_Avg represents the arithmetic mean of the effective market sample price collected, Market_Median represents the median of the effective market sample price collected, and α represents the regional adjustment coefficient, which is a fine-tuning coefficient determined according to the specific location, level, and supporting facilities of the cell, and supports dynamic configuration.

8. The system of claim 5, wherein: The early warning module specifically includes: The actual declared value and the theoretical declared value are obtained, the corresponding early warning threshold rule is read from the rule library, the deviation rate of the declared value and the theoretical value is calculated, the deviation rate is compared with the early warning threshold to determine the early warning level, the corresponding disposal event is triggered according to the early warning level, and the result is stored in the internal system database: If there is no early warning, the declaration state is automatically updated to "audit passed", the result of "submission success" is returned to the property user, the approval result is pushed through the supervision API interface, and the process is ended; If it is a yellow early warning, the approval process is suspended, the approval status is pushed through the supervision API interface, and the result interface is pushed to the property user, notifying him of the supplementary explanation materials needed; If it is an orange early warning, the approval fails, the approval status is pushed through the supervision API interface, and the approval process of the declaration form is frozen, so that it cannot be automatically passed, and the result interface is returned to the property user; If it is a red early warning, the process is frozen, and the early warning information and declaration details are immediately pushed to the supervision platform of the supervision department terminal through the supervision API interface.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to realize the method of any one of claims 1 to 5.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the method of any one of claims 1 to 5.

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