Property fee comment first and payment second payment supervision method and system based on dynamic performance determination

Abstract

The invention provides a property fee comment-before-payment payment supervision method and system based on dynamic performance determination, and relates to the technical field of property services, and the method comprises the steps: obtaining service trace data associated with a target property service in response to a performance supervision request initiated by a target owner, determining a property comprehensive performance score based on the service trace data, and obtaining a property comprehensive performance supervision result. And generating a performance report based on the property comprehensive performance score, pushing the performance report to an owner, generating a payment instruction according to the performance report, and calling a preset payment interface to execute the payment instruction. According to the invention, the performance condition of the property service can be objectively and automatically judged, and a closed loop with quantifiable service, traceable evaluation and conditional payment is realized.

Description

Technical Field

[0001] This invention relates to the field of property service technology, and in particular to a method and system for supervising the payment of property fees based on dynamic performance determination and prior assessment. Background Technology

[0002] With the acceleration of urbanization and the digital transformation of the property management industry, the level of intelligent community governance has become an important direction for improving the living experience and optimizing property management efficiency. As a field closely related to residents' daily lives, property management services have long suffered from structural problems in matching their charging models with service quality. Especially in the current era of rapid digital economic development, traditional service delivery and payment methods are no longer sufficient to meet residents' demands for transparent, fair, and efficient services. Therefore, how to utilize technology to build a trustworthy link between services and payments has become a key issue in the construction of smart communities.

[0003] In current property management fee practices, prepayment or periodic prepayment models are commonly used, meaning that homeowners pay before the service period begins. While this model simplifies the payment process, it creates a reversed responsibility structure where payment comes before service, leaving homeowners without effective means of restraint when their service experience is unsatisfactory. To alleviate this problem, some smart community platforms are trying to introduce homeowner evaluation functions, allowing homeowners to rate or provide feedback on the property management after the service is completed.

[0004] However, existing rating mechanisms rely heavily on homeowners' subjective feelings, lacking objective recording and quantitative analysis of the service process. Evaluation results are often fragmented and emotional, failing to accurately reflect the actual level of property management performance. Furthermore, the payment and evaluation modules are separate, and evaluation results are not forcibly linked to the fund settlement process. Even with low ratings, property management companies can still collect fees, rendering the evaluation mechanism ineffective and failing to provide effective incentives and constraints on property management services. The lack of process evidence retention and automated judgment mechanisms means that service disputes between homeowners and property management companies often rely on manual intervention, resulting in long processing times, high costs, and a high risk of escalating conflicts. Consequently, it is impossible to establish a trust and incentive mechanism based on objective performance that connects homeowners and property management companies. Summary of the Invention

[0005] In view of the above-mentioned shortcomings in the existing technology, the purpose of this invention is to provide a property fee payment supervision method based on dynamic performance judgment, which can objectively and automatically determine the performance of property services and realize a closed loop of quantifiable services, traceable evaluation, and conditional payment.

[0006] The above-mentioned objective of this invention is achieved through the following technical solution: A property management fee payment supervision method based on dynamic performance determination, including: Respond to performance monitoring requests initiated by target property owners and obtain service record data related to the target property services; Based on the service record data, a comprehensive performance score for the property management company is determined. The performance report is generated based on the comprehensive performance score of the property. The performance report is pushed to the owner, and a payment instruction is generated based on the performance report. The preset payment interface is then called to execute the payment instruction.

[0007] By adopting the above technical solutions, an objective chain of performance evidence is constructed through the acquisition and integration of service trace data. A dynamic performance evaluation model is used to transform multidimensional data into a quantifiable comprehensive score. Based on this score, differentiated amounts payable are determined, achieving a mandatory linkage between evaluation results and payment behavior. Furthermore, the automatic generation and push of performance reports ensures the transparency of the service process and cost composition. The closed-loop mechanism based on owner feedback further guarantees the fairness of the process, effectively solving the problems of disconnect between payment and service and high dispute resolution costs in the traditional model. A service quality incentive and constraint mechanism based on objective data has been established.

[0008] Preferably, the step of responding to a performance monitoring request initiated by the target property owner and obtaining service trace data associated with the target property services includes: In response to the performance monitoring request initiated by the target owner, the performance monitoring request is parsed to obtain the target association features; Based on the target association features, extract raw service data from the property service database; The original service data is correlated, integrated, and formatted to obtain service trace data associated with the target property services.

[0009] By adopting the above technical solution, the parsing of performance supervision requests can accurately locate the service scope and data requirements to be evaluated, and extract original service data from heterogeneous databases based on target correlation characteristics, thereby achieving the directionality and efficiency of data collection. Furthermore, through the correlation integration and formatting of the original data, a service trace dataset with a unified structure and traceability is constructed, ensuring the objectivity and repeatability of the performance evaluation process.

[0010] Preferably, determining the overall property performance score based on the service trace data includes: Obtain the property service contract, parse the text of the property service contract, and obtain the list of services to be performed; Based on the aforementioned service performance list, a performance evaluation dimension is constructed; Based on the performance evaluation dimensions, the service trace data is calculated to obtain the dimension index value for each dimension. The comprehensive performance score of the property is obtained by aggregating and calculating the values ​​of the aforementioned dimensional indicators.

[0011] By adopting the above technical solution and using the property service contract as an objective benchmark, the performance service list is automatically extracted through text parsing, ensuring a strict correspondence between the evaluation criteria and the contract stipulations, avoiding subjective arbitrariness. A multi-dimensional and quantifiable evaluation system is constructed based on the performance service list, and the original service trace data is mapped and converted into specific indicator values ​​for each dimension, realizing an objective transformation from data to evaluation indicators. Finally, the multi-dimensional indicators are scientifically aggregated to generate a comprehensive performance score, which not only reflects the overall picture of service performance but also reflects the differences in importance of different service dimensions, thus forming an objective, comprehensive, and interpretable quantitative evaluation result.

[0012] Preferably, the step of obtaining the property service contract involves parsing the text of the property service contract to obtain a list of services to be performed, including: The property service contract is preprocessed to obtain the initial property service contract; The initial property service contract is identified to obtain the terms and conditions, which include service items, service standards, and service frequency. By logically associating and reorganizing the service items, service standards, and service frequencies, a service performance list is obtained.

[0013] By adopting the above technical solution, the property service contract is preprocessed, transforming the unstructured contract text into an initial data format that can be processed by machines, ensuring the accuracy of information extraction and processing efficiency. Then, the contract is identified by clause recognition, accurately identifying and extracting key elements such as service items, service standards, and service frequency from the clauses, completing the deconstruction and element-based expression of the contract content. Finally, by logically associating these elements and reorganizing fields, a clear, complete list of performance services that can be directly used for performance comparison and evaluation is constructed, effectively avoiding the subjectivity and inconsistency of human interpretation.

[0014] The second objective of this invention is to provide a property fee payment supervision system based on dynamic performance determination, which can objectively and automatically determine the performance of property services and realize a closed loop of quantifiable services, traceable evaluation, and conditional payment.

[0015] The second objective of this invention is achieved through the following technical solution: A property management fee pre-assessment and post-payment supervision system based on dynamic performance determination includes: The data acquisition module is used to respond to performance supervision requests initiated by the target property owner and acquire service trace data related to the target property services; The performance evaluation module is used to determine the overall performance score of the property management company based on the service record data. The report generation module is used to generate the performance report based on the comprehensive performance score of the property. The payment execution module is used to push the performance report to the owner, generate a payment instruction based on the performance report, and call a preset payment interface to execute the payment instruction.

[0016] By adopting the above technical solution, the system automatically collects service record data in response to homeowner requests, and calculates and generates a quantitative comprehensive property performance score and performance report based on this data, achieving an objective evaluation and transparent presentation of the property service process. Ultimately, the system automatically links the performance report with the payment process, executing payments based on the evaluation results, thus constructing a closed-loop supervision mechanism of "evaluation before payment." This not only effectively protects homeowners' rights and interests and improves the fairness and transparency of the payment process, but also enhances the overall efficiency of property fee payment supervision, promoting healthy performance in the property service market.

[0017] Preferably, the data acquisition module includes: The feature determination submodule is used to respond to the performance supervision request initiated by the target owner, parse the performance supervision request, and obtain the target associated features; The data extraction submodule is used to extract raw service data from the property service database based on the target association features; The data processing submodule is used to perform association integration and formatting processing on the original service data to obtain service trace data associated with the target property service.

[0018] By adopting the above technical solution, the parsing of performance supervision requests can accurately locate the service scope and data requirements to be evaluated, and extract original service data from heterogeneous databases based on target correlation characteristics, thereby achieving the directionality and efficiency of data collection. Furthermore, through the correlation integration and formatting of the original data, a service trace dataset with a unified structure and traceability is constructed, ensuring the objectivity and repeatability of the performance evaluation process.

[0019] Preferably, the performance evaluation module includes: The text parsing submodule is used to obtain the property service contract, parse the text of the property service contract, and obtain the performance service list. The dimension construction submodule is used to construct performance evaluation dimensions based on the performance service list; The dimension calculation submodule is used to perform dimension calculation on the service trace data based on the performance evaluation dimension to obtain the dimension index value of each dimension. The scoring determination submodule is used to aggregate and calculate the values ​​of the dimensional indicators to obtain the comprehensive performance score of the property.

[0020] By adopting the above technical solution, the system intelligently analyzes the performance supervision requests initiated by the owners, accurately identifies and extracts key target correlation features, ensuring the targeting and accuracy of data acquisition. Based on these features, the system quickly locates and extracts relevant original service data from the property service database, achieving effective aggregation of scattered service information. Finally, by associating, integrating, and formatting the original data, the system transforms multi-source heterogeneous records into service trace data with a unified structure and standardized format, ensuring the objectivity and processing efficiency of the entire system's judgment process.

[0021] The third objective of this invention is to provide an electronic device that can objectively and automatically determine the performance of property services, thereby achieving a closed loop where services are quantifiable, evaluations are traceable, and payments are conditional.

[0022] The above-mentioned objective three of this invention is achieved through the following technical solution: An electronic device includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed the property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described above.

[0023] The fourth objective of this invention is to provide a computer-readable storage medium capable of storing corresponding programs that can objectively and automatically determine the performance of property services, thereby achieving a closed loop where services are quantifiable, evaluations are traceable, and payments are conditional.

[0024] The fourth objective of this invention is achieved through the following technical solution: A computer-readable storage medium storing a computer program that can be loaded by a processor and executed by the aforementioned method for supervising the payment of property fees based on dynamic performance determination.

[0025] The fifth objective of this invention is to provide a computer program product that can not only objectively and automatically determine the performance of property services, but also realize a closed loop of quantifiable services, traceable evaluation, and conditional payment.

[0026] The fifth objective of this invention is achieved through the following technical solution: A computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described above.

[0027] In summary, the present invention has at least one of the following beneficial technical effects: 1. This invention constructs a chain of performance evidence through service trace data and uses an evaluation model to transform multidimensional data into quantitative scores. Performance reports are generated based on the scores and automatically pushed to ensure transparency of services and fees. The closed-loop mechanism based on owner feedback ensures the fairness of the process and realizes full closed-loop traceability from performance and evaluation to payment. It effectively solves the problems of disconnect between payment and service and high cost of dispute resolution, and establishes a service quality incentive and constraint mechanism based on objective data. 2. This invention uses the property service contract as an objective benchmark and constructs an evaluation system based on the contract content. By comparing the evaluation system with the actual service content, a scoring result is generated, which systematically reflects the overall picture of service performance, avoids the subjective bias of manual evaluation, and directly links the performance results with property fee payment. This realizes closed-loop supervision of pricing based on quality and payment after evaluation, thereby effectively improving the transparency and accountability of property services and promoting a positive interactive relationship between owners and property service companies based on the contract. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating the steps of a property fee pre-assessment and post-payment supervision method based on dynamic performance determination, as provided in Embodiment 1 of the present invention.

[0029] Figure 2 This is a flowchart illustrating the steps of another property fee pre-assessment and post-payment supervision method based on dynamic performance determination provided in Embodiment 2 of the present invention.

[0030] Figure 3 This is a structural block diagram of a property fee pre-assessment and post-payment supervision system based on dynamic performance determination, provided in Embodiment 3 of the present invention. Detailed Implementation

[0031] This invention provides a method and system for supervising the payment of property fees based on dynamic performance determination, which can objectively and automatically determine the performance of property services and realize a closed loop of quantifiable services, traceable evaluation, and conditional payment.

[0032] Most current mainstream property management fee models adopt a prepayment system, where homeowners prepay property management fees either in a lump sum or periodically before services begin. While convenient, this system has the following significant problems: Insufficient protection of homeowners' rights: If the property management company fails to perform its contractual obligations (such as inadequate cleaning, lack of security, slow response to repairs, etc.), homeowners may find it difficult to recover the fees they have already paid. Lack of performance feedback mechanism: Existing systems usually only record payment status, without collecting or analyzing data on the property service process, and therefore cannot form an objective evaluation of service quality; Disconnect between payment and service: Payment behavior is not directly related to service results, which leads to a lack of motivation for property management companies to continuously improve service quality; High cost of dispute resolution: Once a dispute occurs, it often relies on manual mediation or legal means, which is inefficient and costly.

[0033] Although some smart community platforms have attempted to introduce homeowner rating functions, the ratings are mostly subjective and lack data support. Furthermore, the rating results are not mandatory and are not linked to actual fund transfers, thus failing to truly constrain the behavior of property management companies.

[0034] Therefore, this invention constructs a multi-source service trace data collection system to obtain real-time evidence of property performance. Through a dynamic performance evaluation model, it automatically generates objective and quantifiable performance scores. All evaluations are based on real service traces, avoiding subjective scoring bias, enhancing credibility, and providing data support for payments. This not only improves the accuracy of property performance analysis but also allows homeowners to clearly understand which services they have paid for, increasing homeowner satisfaction. At the same time, the entire process requires no manual intervention, reducing operating and dispute resolution costs, and can flexibly adapt to the service standards of different communities, while seamlessly integrating with mainstream payment ecosystems.

[0035] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0036] It should be noted that, in the embodiments of this invention, when the relevant object information and other related data are used in specific products or technologies, permission or consent from the object is required, and the collection, use, and processing of the relevant data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this invention involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information requires the individual's consent; if sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0037] It should be noted that the terms "first," "second," etc., used in this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this disclosure.

[0038] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0039] Example 1: Please see Figure 1 This invention provides a method for supervising the payment of property management fees based on dynamic performance determination, comprising: Step 101: Respond to the performance supervision request initiated by the target owner and obtain service trace data related to the target property services.

[0040] A performance supervision request refers to a performance assessment instruction initiated by the owner through a mobile application, web platform, or smart terminal for a specific service period or service item. It includes, but is not limited to, information such as the owner's identity, service period, and assessment scope.

[0041] The target property services refer to the specific service period, service scope and service items set that are analyzed based on the performance supervision request. It is the specific object of this performance evaluation and is associated with the corresponding clauses in the property service contract.

[0042] Service trace data refers to the raw data recorded by various devices, systems or personnel during the property service process that can reflect the actual performance of the service, including but not limited to structured or unstructured information such as service time, service frequency, response speed, completion status, environmental indicators, and security incidents.

[0043] It is worth mentioning that after acquiring service trace data, the raw data can be cleaned, deduplicated, time-aligned, and format-standardized to integrate it into service trace data with a unified structure and the ability to be linked and queried. The processed service trace data can also be checked for data completeness to verify whether the processed data meets the minimum data requirements for performance evaluation. For example, it can verify whether necessary fields are missing, such as service items, time, executors, and completion status; compare whether the records of the same service in different data sources are consistent, such as whether the work order status matches the owner's feedback; and judge whether the data is reasonable based on business rules, such as whether the frequency of the same service item within a single day exceeds the upper limit stipulated in the contract.

[0044] If the verification fails, a data completion process can be triggered, such as automatically sending a data missing reminder to property management personnel, or temporarily suspending the next step of the performance evaluation process until the data completeness meets the preset threshold. The preset threshold can be a completeness threshold: for example, the missing rate of required fields ≤5% or the data coverage of key service items ≥90%; a consistency threshold: for example, the consistency rate of cross-data source records ≥95%; or a reasonableness threshold: for example, the proportion of abnormal data records ≤3% or the number of service frequency exceeding the limit ≤1 time / month.

[0045] It should be noted that the preset threshold can be adjusted according to the service standards agreed in the contract, the baseline of historical data quality, the level of business importance, and the requirements of laws, regulations or industry standards. This is only an example and is not a specific limitation.

[0046] In this embodiment of the invention, in response to a performance supervision request initiated by the target property owner, service trace data associated with the target property services is obtained.

[0047] Step 102: Determine the overall performance score of the property management company based on service trace data.

[0048] The comprehensive performance score of a property management company refers to the score obtained by conducting a multi-dimensional quantitative evaluation of the actual performance of the target property services within a specified period, based on the service standards stipulated in the property service contract.

[0049] It is worth mentioning that this step is a specific and interpretable implementation of the pre-trained performance evaluation model. In actual deployment, depending on the data completeness and business needs, an expert system based on explicit rules or an intelligent model based on machine learning can be selected as the specific implementation of the performance evaluation model.

[0050] The performance evaluation model internalizes the service standards, evaluation dimensions, and indicator weights stipulated in the contract terms into model parameters, thereby achieving intelligent mapping from service trace data to comprehensive performance scores. Specifically: The model is trained based on historical service trace data and its corresponding performance score labels marked manually or by the system. By learning the mapping relationship between features of multi-source heterogeneous data and comprehensive scores, it constructs a nonlinear mapping function from service trace data to the comprehensive performance score of the property. In practical applications, the model can automatically calculate the corresponding comprehensive performance score of the property based on the internalized contract standards and evaluation rules, ensuring that the scoring results are objective, interpretable and in line with the evaluation logic agreed in the contract.

[0051] It should be noted that the core of this model lies in encoding the service items, standards, frequency, and weights stipulated in the contract into a calculable and adjustable evaluation logic, thereby realizing the automated and intelligent conversion from raw data to quantitative scores. No specific limitations are made here; any model that can input service trace data and output a comprehensive property performance score is acceptable.

[0052] In this embodiment of the invention, a comprehensive performance score for the property is determined based on service trace data.

[0053] Step 103: Generate a performance report based on the property's comprehensive performance score.

[0054] A performance report is an electronic document that provides a structured summary and presentation of the performance evaluation process, results, and corresponding payment recommendations for the target property services within a specific period. It includes, but is not limited to, key information such as the evaluation basis, scoring details, and channels for feedback on objections.

[0055] It is worth mentioning that the calculated comprehensive performance score of the property and the relevant evaluation process data are filled into the preset performance report template, thereby automatically generating a performance report.

[0056] It should be noted that the preset performance report template includes, but is not limited to: report header information, evaluation summary, details of sub-item scores, and channels for objections and feedback. The report header information includes, but is not limited to, the report's unique number, generation time, corresponding service period, basic information of the homeowner, name of the property management company, and the name and version of the property management service contract on which it is based. The evaluation summary includes, but is not limited to, the overall performance score of this evaluation, the corresponding performance level or qualitative description, etc. The details of the sub-item scores include, but are not limited to, listing the scores for each performance evaluation dimension (such as cleaning services, security services, public facility maintenance, etc.), displaying the weight of each dimension, indicator values, and comparisons with contract standards, and summaries or examples of key service trace data, etc. The detailed calculation of the amount includes, but is not limited to, the full amount of property management fees for this period as stipulated in the contract, the payment trigger threshold and the results of this score comparison, and if a deduction is triggered, clearly explaining the applied deduction rules, calculation process, and the amount after deduction, etc. The channels for objections and feedback include, but are not limited to, specifying the feedback methods that homeowners can use if they have objections to the report content (such as online submission, telephone, email), indicating the deadline for accepting objections, and the expected review and processing period, etc.

[0057] Once the performance report is generated, it can be converted into a standard format suitable for web preview, email push or mobile viewing, and stored in a database for subsequent auditing and traceability.

[0058] It is worth mentioning that, in the above-mentioned feasible embodiments, the amount payable corresponding to the property performance score can also be generated based on the property comprehensive performance score. This amount serves as the property fee that the owner should actually pay during the current service period. At the same time, the performance report can also include the amount payable, so that customers can know the payment amount corresponding to specific service items.

[0059] The process of obtaining the payable amount may include comparing the property's overall performance score with a preset payment trigger threshold. If the overall performance score is greater than or equal to the payment trigger threshold, the full property fee will be used as the payable amount. If the overall performance score is less than the payment trigger threshold, a portion of the property fee will be calculated as the payable amount according to preset deduction rules. The deduction rules can be linear proportional deductions, such as deducting a fixed percentage of the contract amount for every 1 point below the threshold, up to the minimum guaranteed amount; or they can be tiered deductions, with different fixed deduction ratios or amounts corresponding to different ranges of the score. The specific rules can be set according to actual needs.

[0060] In this embodiment of the invention, a performance report is generated based on the comprehensive performance score of the property, which enables owners to have a comprehensive and transparent understanding of the performance of property services and the basis for the cost composition, and the property management company can also obtain clear improvement guidance, thereby building a communication foundation of mutual trust.

[0061] Step 104: Push the performance report to the owner, generate a payment instruction based on the performance report, and call the preset payment interface to execute the payment instruction.

[0062] A payment instruction refers to structured instruction information generated based on the final determined amount payable and payment rules, used to initiate fund transfers, including but not limited to necessary fields such as payee, payer, amount, purpose, and validity period.

[0063] Understandably, the performance report is sent to the homeowner so that the homeowner can view the contents of the report and the related bills.

[0064] It should be noted that the generation of payment instructions may include: filling and formatting fields such as the amount payable, payee account information, payer account information, payment purpose, unique payment request number, and performance report number based on a preset payment template; performing multiple verifications on the payment instructions, including whether the amount is consistent with the amount payable, whether the payee account is consistent with the contract filing, and whether the payment frequency and amount comply with risk control rules; signing the payment instructions with a digital certificate, and encrypting sensitive information according to the payment interface requirements.

[0065] After the payment instruction is generated and securely processed, a preset payment interface is invoked to send the payment instruction to the corresponding payment channel. After receiving the instruction, the payment channel executes the fund transfer operation and returns the result to the system in real time. The preset payment interface includes, but is not limited to, bank direct connection interface, third-party payment platform API, digital RMB wallet interface, etc. The payment result includes, but is not limited to, success, failure, or processing.

[0066] It is worth mentioning that the current performance status can also be updated based on the payment result: if the payment is successful, the payment serial number and completion time are recorded, and the performance process of this period is marked as completed; if the payment fails, the reason for the failure is automatically recorded, and subsequent processing is carried out according to the pre-configured retry rules or exception handling process. At the same time, a payment result notification will be sent to the owner and property management company. The retry rules or exception handling process includes, but is not limited to, notifying manual intervention, triggering refund and repayment, etc.

[0067] In the above-described feasible embodiments, pushing the performance report to the owner may include receiving feedback information from the owner, specifically: 1. Send the performance report to the owner and receive feedback from the owner.

[0068] Feedback information refers to the confirmations, objections, or other relevant opinions returned by the owner through the interactive channels provided by the system after reviewing the performance report.

[0069] 2. If the feedback indicates objection, extract the objection details from the feedback.

[0070] Objections refer to statements made by homeowners in their feedback that express doubts or objections to the specific content of the performance report, along with supporting materials, including but not limited to the type of objection, the services involved, the description of the problem, the timeline, and supporting evidence.

[0071] It should be noted that upon receiving objections from homeowners, the system first parses the original feedback data. If the feedback is a structured form (such as selected objection items with supplementary text), preset fields are directly extracted. If the feedback is unstructured text (such as email body or message), natural language processing technology is used to extract key information, identifying the service period involved in the objection, specific service items (such as "hallway cleaning" or "elevator maintenance"), objection type (such as "inaccurate data", "inaccurate scoring", or "unreasonable deduction"), and the homeowner's supplementary description of the problem.

[0072] At the same time, the system automatically associates and extracts attachments or external information (such as photos, videos, and recordings) uploaded by homeowners in their feedback, converts them into storable and indexable digital evidence, and logically binds them to the objection description. After extraction, a structured record of the objection content is generated, including the objection's unique code, extraction time, associated performance report number, objection summary, and evidence index.

[0073] 3. Generate objection review tasks based on the content of the objection.

[0074] Objection review task refers to a structured task instruction created based on the objection raised by the owner, used to re-examine and verify the relevant performance evaluation process. This includes, but is not limited to, information such as the service items to be reviewed, the focus of the objection, the scope of data to be verified, task priority, processing time limit, and responsible person.

[0075] First, the objection content is analyzed to identify the objection type and the associated performance evaluation process. Based on preset rules, the data range, calculation path, and verification standards required for review are automatically determined, and a structured task sheet containing review operation instructions is generated. This task sheet is also automatically assigned to the corresponding processing role.

[0076] For example, if a homeowner's objection involves inaccurate data and specifically points to a failure to perform cleaning services on a certain day, the data authenticity objection handling logic in the preset rules will be followed: the service item, time point, and spatial scope corresponding to the objection will be automatically associated, thereby determining the scope of data to be retrieved, including the work logs of the smart cleaning equipment in the area during that time period, the GPS check-in records of the cleaning staff on their mobile devices, and the metadata of the video surveillance system in the area; at the same time, the rules predefine the verification standard for this type of objection as at least two independent data source records being consistent to be considered as the service having been performed, and automatically set the task priority as high and the processing time limit as 24 hours based on the importance of the service involved in the objection. Finally, a structured task order will be output according to the above rules and automatically dispatched to the property management supervisor responsible for the service in that area for review and processing.

[0077] 4. Based on the objection review task, retrieve and verify the relevant service trace data to obtain the verification results.

[0078] Verification results refer to the conclusive judgments generated after re-verifying the specified data according to the instructions of the objection review task, including statuses such as "objection established", "objection partially established" or "objection not established" and their supporting explanations.

[0079] Based on the scope of data to be verified, the verification rules, and the execution steps specified in the objection review task, the system automatically retrieves relevant service trace data for verification and comparison. For example, if the task requires verification of whether cleaning services were performed on a certain day, the system will simultaneously retrieve the smart cleaning equipment operation logs for that day, the cleaning staff's mobile terminal check-in GPS records, and the corresponding area's surveillance video metadata for cross-verification. If all evidence chains are complete and consistent, the system will output a verification result of "objection not established." If the evidence is missing or contradictory, the system will output a result of "objection established" or "objection partially established," and will attach specific data comparison details and a statement of the judgment basis in the result.

[0080] For example, if the task order requires verification of "whether the cleaning service of Building A was performed on XX / XX / 20XX", and the task order clearly states that three types of data sources (intelligent cleaning equipment operation logs, cleaning staff mobile terminal check-in GPS records, and corresponding area surveillance video metadata) need to be retrieved for cross-validation, then the following operations will be performed automatically: First, the system retrieves the start and stop time records of all smart cleaning equipment in the building for the day from the equipment management platform. Second, it extracts the terminal GPS trajectory points of the cleaning personnel responsible for the area from the personnel management system and matches them with the service time period. Simultaneously, it obtains the activity detection metadata of the corridor cameras from the security system. Then, based on the predefined verification rule in the task order, "if at least two independent data sources have valid records within the service time period, the service is considered to have been executed," the system performs automatic comparison and analysis. If the equipment log shows that the cleaning equipment was started and running for 30 minutes within the service time period, the personnel GPS record shows that the cleaner was located on the corresponding floor of Building A during that time period, and the monitoring metadata detects personnel activity during that time period, the system determines that the three evidence chains are complete and consistent, outputs a verification result indicating that the objection is not valid, and attaches a summary of the extraction of various data and an explanation of the time alignment in the result. If only the equipment operation record and personnel GPS record exist, but the monitoring metadata is missing due to equipment failure, the system can still determine that the objection is valid according to the rule, and clearly indicate the specific circumstances of insufficient evidence chain completeness in the result.

[0081] 5. If the verification result indicates that the objection is valid, the property's overall performance score will be updated based on the verification result, and the process will proceed to the step of generating a performance report based on the property's overall performance score.

[0082] The updated property management comprehensive performance score refers to the corrected comprehensive score result formed after recalculating the dimensions involved in errors or deviations in the original score based on the valid objections confirmed by the review. It reflects the true level of property management service performance after the objections have been corrected.

[0083] The detailed comparison criteria and conclusions accompanying the analysis and verification results pinpoint the specific service dimensions or data items with problems in the original scoring process. For example, if the review confirms that the "service frequency compliance" indicator in the original score was calculated incorrectly due to missing data records for "corridor cleaning service" on a certain day, the indicator value for that dimension will be recalculated based on the valid data confirmed after the review. Then, according to the weighting coefficients and aggregation algorithms used in the original scoring rules, the corrected indicator values ​​for each dimension will be recalculated to generate an updated comprehensive property performance score.

[0084] It is worth mentioning that the update process ensures that the scoring results are consistent with objective facts and contractual standards. It also records the reasons, basis, timestamps, and differences in scores before and after the update, forming a complete scoring correction trajectory.

[0085] In this embodiment of the invention, the performance report is pushed to the owner, and the performance report generates a payment instruction. The preset payment interface is called to execute the payment instruction, which avoids the multi-step process of manual verification, review and payment initiation in the traditional model, shortens the fee settlement cycle, improves the efficiency of fund flow, and also ensures the equivalence between service quality and fees from a mechanism perspective, thereby improving customer satisfaction.

[0086] Example 2: Please see Figure 2 The present invention provides another method for supervising the payment of property fees based on dynamic performance determination, comprising: Step 201: Respond to the performance supervision request initiated by the target owner and obtain service trace data related to the target property services.

[0087] Preferably, step 201 may include the following sub-steps: S11. Respond to the performance supervision request initiated by the target owner, analyze the performance supervision request, and obtain the target association characteristics.

[0088] Target-related features refer to the key structured information extracted from the performance supervision request initiated by the owner, which is used to locate and define the scope and content of this evaluation, including but not limited to owner identification, house number, service period start and end time, list of service items to be evaluated and the contract version information on which it is based.

[0089] It is worth mentioning that upon receiving a performance supervision request, the system will analyze and extract its features. For example, it will identify the channel through which the request was initiated and extract the data from the request based on preset data interface specifications or natural language processing technology. The extracted raw information will then be matched with registration information and contract databases in the property service database to supplement and verify feature information. For instance, it will automatically associate the owner's login account with the property number and the corresponding valid property service contract version. Based on the vague time description in the request, it will automatically calculate a specific date range using the system time. Finally, it will generate a structured target association feature record, which clearly includes key fields such as the owner's unique identifier, property identifier, service period, list of service items to be evaluated, and the unique number of the contract on which it is based.

[0090] In this embodiment of the invention, in response to a performance supervision request initiated by the target owner, the performance supervision request is parsed to obtain the target association features.

[0091] S12. Based on the target association features, extract the original service data from the property service database.

[0092] Raw service data refers to the initial service process records that are directly extracted from various business systems, IoT devices, and manual record platforms of property service companies, without any processing, based on the service scope and projects determined according to the target association characteristics.

[0093] It is worth mentioning that, based on the parsed target association features, a data query command is automatically generated and invoked on the corresponding data source. Specifically: First, based on the service cycle range in the target association characteristics, a time window for data extraction is defined in the time dimension. Then, according to the service item list, different business databases or data interfaces are located: for cleaning services, equipment start-up and shutdown logs may be retrieved from the intelligent cleaning equipment management platform, and task completion check-in records may be retrieved from the cleaning staff mobile inspection APP database; for security services, card swipe records may be retrieved from the access control system database, and alarm event logs may be retrieved from the video surveillance platform; for facility repair services, the entire process record of the creation, allocation, processing, and closure of repair orders may be retrieved from the property work order system. Based on the house number or building information, the data is filtered in the spatial dimension to ensure that the extracted data strictly corresponds to the property management scope of the target owner.

[0094] It should be noted that, in order to support the unified extraction of the above-mentioned multi-source heterogeneous data, the system establishes connections with each independent business platform or database through a preset data interface protocol. The specific implementation methods include, but are not limited to: calling standard data services provided by third-party systems through API interfaces; obtaining relevant business table data in real time or on a regular basis through database middleware or data synchronization tools; and subscribing to device status and event stream data through IoT protocols to achieve seamless integration and on-demand extraction of cross-platform data.

[0095] During the extraction process, the data source, extraction time, data volume, and key field summary can be recorded. The extracted raw data is assigned a unique data batch identifier for this task so that it can be tracked and associated later. If some data sources are temporarily inaccessible due to network, permission, or storage issues, a limited number of retries will be performed according to the preset retry mechanism. After failure, a data missing report will be generated, recording the missing data types and possible impacts for reference in subsequent processing.

[0096] It is worth mentioning that the targeted extraction mechanism based on target-related features allows owners to avoid dealing with massive amounts of irrelevant information and collect only service trace evidence directly related to the current assessment needs, effectively avoiding data redundancy and improving processing efficiency and the relevance of the evaluation.

[0097] In this embodiment of the invention, based on target association features, raw service data is extracted from multiple data sources, realizing on-demand data collection and efficient organization. This not only protects the privacy and data security of property owners, but also enhances user experience and the credibility of evaluation results.

[0098] S13. Perform association integration and formatting processing on the original service data to obtain service trace data related to the target property services.

[0099] Understandably, the process begins with data cleaning of the original service data, removing obviously invalid or erroneous records, such as those with abnormal timestamp formats, missing service type identifiers, empty key fields, or records containing test data identifiers. Next, time alignment and serialization are performed, converting all timestamps to a standard time format and sorting them by service occurrence time to create a service event timeline. Then, based on key association keys such as spatial location, device identifier, and work order number, data records from different sources describing the same service event are linked and integrated. For example, device start / stop events in the smart cleaning equipment logs are matched and linked with task check-in records in the cleaning staff's mobile inspection app based on time and location; card swipe records from the access control system are linked with video surveillance... The platform's alarm events are fused and verified based on spatiotemporal consistency to construct a complete chain of evidence reflecting the same service activity. Then, heterogeneous data formats are uniformly converted into a preset standard data structure. This includes mapping the status descriptions of different systems to a unified status code, classifying free text service descriptions into a standard service item coding system, and unifying the units of measurement and precision of various numerical indicators to ensure the consistency and comparability of data in terms of semantics and format. Finally, derived fields and key metadata are added to the processed data, such as calculating service response time, labeling service frequency compliance, adding data quality and confidence indicators, and organizing all data according to service items, time, space, and other dimensions into a structured service trace dataset that can be directly used for performance evaluation.

[0100] For example, the following is a simplified example of service trace data obtained by associating, integrating, and formatting a set of raw data: Smart Cleaning Equipment Log: { "device_id": "cleaner_08", "timestamp": "2024-03-15T09:05:12", "event": "start", "location": "Building A, 10th Floor"} Cleaning staff log: { "staff_id": "emp_101", "checkin_time": "2024 / 3 / 15 09:07", "task": "Cleaning of the 10th floor corridor of Building A", "status": "In progress"} Property Management Work Order Record: { "order_no": "WO20240315001", "create_time": "2024-03-15T08:30:00", "type": "Hallway Cleaning", "location": "Building A, 10th Floor", "status": "closed"} Example of service trace data generated after association, integration, and formatting: { "trace_id": "TR_20240315_A10_001", "service_item_code": "CLEAN_HALLWAY", "service_item_name": "Daily cleaning of building corridors", "event_time": "2024-03-15T09:06:00Z", "location_code": "BLD_A_FLOOR_10", "execution_evidence": [ { "source": "DEVICE_LOG", "event": "EQUIPMENT_START", "device_id": "cleaner_08", "raw_timestamp": "2024-03-15T09:05:12", "confidence": "HIGH" }, { "source": "STAFF_APP", "event": "TASK_START", "staff_id": "emp_101", "raw_timestamp": "2024-03-15T09:07:00", "confidence": "HIGH" } ], "associated_order": "WO20240315001", "response_duration_minutes": 36, "service_status": "COMPLETED", "frequency_compliance": "COMPLIANT", "data_quality_flag": "MULTI_SOURCE_VERIFIED", "process_timestamp": "2024-03-15T10:00:00Z" } In this example, the time format was first cleaned and standardized, and timestamps from different sources were standardized to the ISO8601 format. Then, based on the device location and time window, the device start-up event and personnel attendance record were associated as the same service activity. Next, the free text description was mapped to the standard service code, and the status description was unified into the code. Finally, the response time was calculated, the service frequency compliance status was marked, data quality identifiers were added, and the data was reorganized into a structured service trace data record, which can be directly used for subsequent performance dimension indicator calculation and comprehensive scoring.

[0101] In this embodiment of the invention, the original service data is associated, integrated, and formatted to obtain service trace data associated with the target property service.

[0102] Step 202: Obtain the property service contract, parse the text of the property service contract, and obtain the list of services to be performed.

[0103] Preferably, step 202 may include the following sub-steps: S21. Preprocess the property service contract to obtain the initial property service contract.

[0104] An initial property service contract refers to a standardized electronic text or data file that can be structured and parsed by a computer after the original contract documents have been preprocessed.

[0105] In this embodiment of the invention, original contract documents of different formats are converted into plain text format. Then, the extracted text is encoded and cleaned, including but not limited to removing garbled characters generated by scanning, correcting recognition errors caused by tilting or damage, unifying text encoding, and initially segmenting the text according to natural paragraphs and chapter titles to form continuous text with basic reading structure. Special elements in the contract, such as stamp areas, handwritten signature positions, and attachment page numbers, are identified and marked, and recorded separately as metadata to ensure the integrity of the contract and the visibility of its legal effect. Finally, an initial property service contract document containing complete contract text, chapter marks, and metadata information is generated, stored in the contract management database, and assigned a unique contract version identifier.

[0106] S22. Identify the terms of the initial property service contract to obtain the terms, which include the service items, service standards, and service frequency.

[0107] The terms and conditions refer to the performance elements information identified, extracted and categorized from the initial property service contract, presented in a machine-readable data format, which are the specific stipulations on the service content in the contract.

[0108] Understandably, the entire contract is semantically divided into chapters and clauses to identify core chapters directly related to service performance, such as service content and standards, daily maintenance and management, and special service agreements. Clauses related to service items are then extracted, and key performance elements are extracted within the identified clauses: for service items, specific service names such as public area cleaning, elevator daily maintenance, and security patrols are identified; for service standards, descriptions of quality or performance requirements such as no debris accumulation on the ground, elevator fault response time not exceeding 30 minutes, and complete and traceable patrol records are identified; for service frequency, time-based or conditional quantitative descriptions such as once daily, twice weekly, once monthly comprehensive inspection, and 24-hour response are identified.

[0109] In this embodiment of the invention, the content of the terms is obtained by structured analysis of the initial property service contract, which effectively avoids the subjective bias and efficiency bottleneck of manual interpretation.

[0110] S23. Logically associate and reorganize the service items, service standards and service frequency to obtain the service performance list.

[0111] Service items refer to the specific service items stipulated in the property service contract.

[0112] Service standards refer to the quality requirements, performance indicators, or completion conditions stipulated in the property service contract for each service item.

[0113] Service frequency refers to the execution cycle, number of times, or response time limit agreed upon in the property service contract for each service item.

[0114] The performance service list refers to the data obtained by logically binding and integrating the service standards and service frequency corresponding to the same service item based on the terms obtained by structured parsing, and then using it directly for performance comparison and evaluation.

[0115] Understandably, after extracting the elements of service items, service standards, and service frequency, the system collects and aggregates all service standard descriptions and service frequency requirements that belong to the same service item but are scattered across different contract clauses, based on the service item name or unique code. For example, for the service item of daily cleaning of public areas, the relevant descriptions that may be distributed in the cleaning service chapter and service frequency appendix of the contract, such as service standards like no visible garbage on the ground, no dust accumulation on public facility surfaces, and no odor at garbage collection points, along with the service frequency requirements of once in the morning and once in the afternoon, are automatically associated with the same service item node. Then, all the associated and transformed elements are reorganized according to the preset list data structure to generate a standardized performance service list record. Each record includes, but is not limited to, core fields such as the service item unique code, project name, service category, specific service standard list, service frequency expression, and the index of the contract clauses on which it is based.

[0116] In this embodiment of the invention, the service items, service standards, and service frequency are logically associated and the fields are reorganized to obtain a service performance list.

[0117] Step 203: Based on the performance service list, construct the performance evaluation dimensions.

[0118] Performance evaluation dimensions refer to several relatively independent and representative evaluation aspects or indicator categories defined from different observation perspectives or attribute categories based on the contract elements carried by the performance service list. These include, but are not limited to, service timeliness, service completion quality, service frequency compliance, and service coverage completeness.

[0119] Read the generated service performance list, analyze the characteristics and internal relationships of the service items, standards and frequencies in the list, and group service items with the same or similar evaluation attributes into the same dimension.

[0120] For example, all service standards involving time constraints, such as response to faults within 30 minutes and inspections every 2 hours, and their corresponding service items, such as equipment repair and security patrols, are grouped into the service timeliness dimension; all service standards involving status or quality descriptions, such as clean and debris-free floors and neatly trimmed greenery, and their items are grouped into the service completion quality dimension; the logic of comparing the service frequency agreed upon in the contract with the actual execution records is used as the service frequency compliance dimension; and the matching of the spatial scope that the service should cover with the actual execution location is used as the service coverage integrity dimension.

[0121] It should be noted that the above dimensions can be set according to actual needs; the above is an example description.

[0122] In this embodiment of the invention, multiple performance evaluation dimensions are constructed based on the performance service list.

[0123] Step 204: Based on the performance evaluation dimensions, perform dimensional calculations on the service trace data to obtain the dimensional index values ​​for each dimension.

[0124] Dimensional index values ​​refer to the quantitative or standardized scoring results generated for each performance evaluation dimension, based on the service items and evaluation rules associated with that dimension, after specific calculations, statistics, or logical judgments on the relevant service trace data. These values ​​characterize the actual performance level of property services in that dimension.

[0125] Understandably, for the timeliness dimension of service, all service traces involving timeliness judgment will be extracted, such as the creation time and acceptance time of repair work orders, the planned time and actual check-in time of inspection tasks, etc., and then the average response time, timely completion rate and other indicators will be calculated; for the quality of service completion, quantitative evaluation or compliance statistics can be carried out based on image recognition results, equipment sensor data or completion status feedback records; for the service frequency compliance, the frequency agreed in the contract can be compared with the number of executions recorded in the actual service traces to calculate the frequency achievement rate; for the completeness of service coverage, the overlap between the planned service area and the actual service trajectory can be analyzed based on geographic information system data to calculate the area coverage rate or key point coverage ratio.

[0126] During the calculation process, the data undergoes preprocessing steps such as unit unification, time window alignment, and outlier filtering to ensure the accuracy and consistency of the calculation input. Finally, each dimension outputs a normalized dimension index value, which is usually standardized to a uniform numerical range.

[0127] It should be noted that the specific implementation methods for calculating the indicator values ​​of each dimension of service trace data through performance evaluation dimensions can be flexibly configured and expanded according to actual application scenarios and business needs. The dimensions of service timeliness, service completion quality, service frequency compliance, and service coverage integrity listed in the above embodiments, as well as their corresponding calculation methods, are only illustrative examples, aiming to clearly demonstrate the technical logic and transformation path from data to indicators. In practical applications, the definition, quantity, and calculation rules of each dimension and specific indicators can be customized and dynamically adjusted according to different property service contract terms, community management characteristics, owner concerns, or industry evaluation standards. Any data processing method and evaluation model that can reflect the performance level of property services in a specific aspect based on service trace data falls within the protection scope of the technical solution of this invention.

[0128] In this embodiment of the invention, based on the performance evaluation dimension, the service trace data is calculated to obtain the dimension index value of each dimension.

[0129] Step 205: Aggregate and calculate the dimensional indicator values ​​to obtain the comprehensive performance score of the property.

[0130] The comprehensive performance score of a property management company refers to a comprehensive quantitative score result generated by weighting and summing the dimensional indicator values ​​of each performance evaluation dimension or by using other aggregation algorithms.

[0131] It is worth mentioning that pre-configured weight coefficients can be allocated according to the differences in importance reflecting the overall performance level of property services, and the comprehensive performance score of property services can be calculated.

[0132] Understandably, different application scenarios will have different weighting coefficients. The weighting coefficients can be set according to actual needs, and then a weighted linear summation algorithm can be used to multiply the index value of each dimension by its corresponding weighting coefficient, and then all the product results can be added together to finally obtain the property's comprehensive performance score.

[0133] The calculation formula is expressed as: Overall performance score = Σ (dimensional i index value × dimensional i weight coefficient).

[0134] For example, the pre-configured weighting coefficients can be: 0.35 for service timeliness; 0.3 for service completion quality; 0.2 for service frequency compliance; and 0.15 for service coverage integrity.

[0135] It should be noted that the above weighting coefficients are only examples. In actual applications, they can be flexibly set and periodically revised according to different community types (such as residential, commercial, and office), different service stages (such as routine maintenance period and equipment overhaul period), or the joint resolution of the owners' committee.

[0136] In this embodiment of the invention, the dimensional index values ​​are aggregated and calculated to obtain the comprehensive performance score of the property.

[0137] Step 206: Generate a performance report based on the property's comprehensive performance score.

[0138] The specific implementation process of step 206 is similar to that of step 103, and will not be repeated here.

[0139] In this embodiment of the invention, a performance report is generated based on the property's overall performance score and the amount payable.

[0140] Step 207: Push the performance report to the owner, generate a payment instruction based on the performance report, and call the preset payment interface to execute the payment instruction.

[0141] The specific implementation process of step 207 is similar to that of step 104, and will not be repeated here.

[0142] Example 3: Please see Figure 3 The present invention provides a property fee pre-assessment and post-payment supervision system based on dynamic performance determination, comprising: The data acquisition module 101 is used to respond to the performance supervision request initiated by the target owner and acquire service trace data related to the target property services; The performance evaluation module 102 is used to determine the overall performance score of the property based on service trace data; Report generation module 103 is used to generate a performance report based on the comprehensive performance score of the property. The payment execution module 104 is used to push the performance report to the owner, generate payment instructions based on the performance report, and call the preset payment interface to execute the payment instructions.

[0143] It is worth mentioning that the system in this embodiment also has a rule configuration and management backend module, which can be edited and adjusted according to the actual situation.

[0144] Preferably, the data acquisition module may include the following sub-modules: The feature determination submodule is used to respond to the performance supervision request initiated by the target owner, parse the performance supervision request, and obtain the target associated features; The data extraction submodule is used to extract raw service data from the property service database based on target association features; The data processing submodule is used to correlate, integrate, and format the raw service data to obtain service trace data associated with the target property services.

[0145] Preferably, the performance evaluation module may include the following sub-modules: The text parsing submodule is used to obtain the property service contract, parse the text of the property service contract, and obtain the list of services to be performed; The dimension construction submodule is used to construct performance evaluation dimensions based on the performance service list; The dimensional calculation submodule is used to perform dimensional calculations on service trace data based on the performance evaluation dimensions to obtain the dimensional indicator value for each dimension. The scoring determination submodule is used to aggregate and calculate the dimensional indicator values ​​to obtain the comprehensive performance score of the property.

[0146] Since the above is a system corresponding to a property fee pre-assessment and post-payment supervision method based on dynamic performance determination, its implementation principle is consistent with that of a property fee pre-assessment and post-payment supervision method based on dynamic performance determination. For the sake of convenience and brevity, those skilled in the art can clearly understand that the specific working process of the system and modules described above can be referred to the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0147] Example 4: An electronic device according to an embodiment of the present invention includes: a memory and a processor, wherein the memory stores a computer program; when the computer program is executed by the processor, the processor executes the property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in any of the above embodiments.

[0148] The memory can be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. The memory has storage space for program code used to perform any of the method steps described above. For example, the storage space for program code may include individual program codes for implementing the various steps in the methods described above. This program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact discs (CDs), memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When run by a computing processing device, this code causes the computing processing device to perform the various steps in the methods described above.

[0149] Example 5: This invention provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed, it implements the property fee pre-assessment and post-payment supervision method based on dynamic performance determination of any of the above embodiments.

[0150] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0151] Example 6: This invention provides a computer program product, including a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the property fee pre-assessment and post-payment supervision method based on dynamic performance determination of any of the above embodiments.

[0152] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0153] 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.

[0154] Furthermore, the functional units in the various embodiments of the present invention 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.

[0155] 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 technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0156] 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. Such 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.

Claims

1. A property management fee payment supervision method based on dynamic performance determination, characterized in that, include: Respond to performance monitoring requests initiated by target property owners and obtain service record data related to the target property services; Based on the service record data, a comprehensive performance score for the property management company is determined. The performance report is generated based on the comprehensive performance score of the property. The performance report is pushed to the owner, and a payment instruction is generated based on the performance report. The preset payment interface is then called to execute the payment instruction.

2. The property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in claim 1, characterized in that, The process of responding to a performance monitoring request initiated by the target property owner and obtaining service record data associated with the target property services includes: In response to the performance monitoring request initiated by the target owner, the performance monitoring request is parsed to obtain the target association features; Based on the target association features, extract raw service data from the property service database; The original service data is correlated, integrated, and formatted to obtain service trace data associated with the target property services.

3. The property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in claim 1, characterized in that, The determination of the property's overall performance score based on the service trace data includes: Obtain the property service contract, parse the text of the property service contract, and obtain the list of services to be performed; Based on the aforementioned service performance list, a performance evaluation dimension is constructed; Based on the performance evaluation dimensions, the service trace data is calculated to obtain the dimension index value for each dimension. The comprehensive performance score of the property is obtained by aggregating and calculating the values ​​of the aforementioned dimensional indicators.

4. The property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in claim 3, characterized in that, The process of obtaining the property service contract involves parsing the contract to obtain a list of services to be performed, including: The property service contract is preprocessed to obtain the initial property service contract; The initial property service contract is identified to obtain the terms and conditions, which include service items, service standards, and service frequency. By logically associating and reorganizing the service items, service standards, and service frequencies, a service performance list is obtained.

5. A property management fee pre-assessment and post-payment supervision system based on dynamic performance determination, characterized in that, include: The data acquisition module is used to respond to performance supervision requests initiated by the target property owner and acquire service trace data related to the target property services; The performance evaluation module is used to determine the overall performance score of the property management company based on the service record data. The report generation module is used to generate the performance report based on the comprehensive performance score of the property. The payment execution module is used to push the performance report to the owner, generate a payment instruction based on the performance report, and call a preset payment interface to execute the payment instruction.

6. The property fee pre-assessment and post-payment supervision system based on dynamic performance determination as described in claim 5, is characterized in that, The data acquisition module includes: The feature determination submodule is used to respond to the performance supervision request initiated by the target owner, parse the performance supervision request, and obtain the target associated features; The data extraction submodule is used to extract raw service data from the property service database based on the target association features; The data processing submodule is used to perform association integration and formatting processing on the original service data to obtain service trace data associated with the target property service.

7. The property fee pre-assessment and post-payment supervision system based on dynamic performance determination as described in claim 5, characterized in that, The performance evaluation module includes: The text parsing submodule is used to obtain the property service contract, parse the text of the property service contract, and obtain the performance service list. The dimension construction submodule is used to construct performance evaluation dimensions based on the performance service list; The dimension calculation submodule is used to perform dimension calculation on the service trace data based on the performance evaluation dimension to obtain the dimension index value of each dimension. The scoring determination submodule is used to aggregate and calculate the values ​​of the dimensional indicators to obtain the comprehensive performance score of the property.

8. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 4, which is a property fee pre-assessment and post-payment supervision method based on dynamic performance determination.

9. A computer-readable storage medium, characterized in that, The computer program is stored in which a processor can load and execute the property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in any one of claims 1 to 4.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the property fee pre-assessment and post-payment supervision method based on dynamic performance determination as described in any one of claims 1-4.

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