A convenient payment system for power business hall

Abstract

The application discloses a kind of power business hall convenient payment system, it is related to electric power business management and payment terminal system technical field, including user feature perception module, for based on face image capture, operation touch behavior sampling and voiceprint recognition carries out feature parameter collection to current user;Comprehensive feature analysis module is used for grading discrimination to comprehensive feature parameter;Interactive interface self-adapting module is used for according to interactive interface adjustment instruction, dynamically switch to standard mode, simplified mode or auxiliary guiding mode;Bill abnormality detection module is used for real-time monitoring user payment bill data;Offline fault-tolerant payment module is used for automatically switched to local bill cache mode, record user payment operation generates local payment token, the present application solves the problem that existing power business hall payment system is not accurate in user identification, interactive interface is not friendly, abnormal bill processing lag and poor reliability under network fluctuation.

Description

Technical Field

[0001] This invention relates to the field of power business management and payment terminal system technology, specifically a convenient payment system for power business halls. Background Technology

[0002] Currently, power service halls have widely deployed self-service payment terminals and intelligent systems to alleviate pressure on manual counters and improve service efficiency. However, existing systems generally adopt a unified interactive process and static interface design, lacking the ability to dynamically adapt to different user operating habits and information literacy differences. This leads to high error rates, process interruptions, and poor user experience for some users (especially the elderly and first-time users), actually increasing the system's usage threshold. On the other hand, bill anomaly detection modules in existing technologies mainly rely on fixed rules or simple threshold judgments, lacking fine-grained judgments on anomaly types and degrees, often resulting in false alarms or missed alarms, reducing the security and reliability of the payment process. Furthermore, the system usually cannot dynamically adjust its interaction strategy based on bill anomalies, causing users to continue using the normal payment process even when encountering anomalies, resulting in a fragmented experience and increasing the risk of incorrect payments. In addition, in actual operation of service halls, the offline fault tolerance of self-service payment terminals is insufficient due to network fluctuations or equipment failures. Although some systems support basic caching operations, problems such as data overwriting, payment conflicts, and synchronization failures easily occur during bill synchronization after network recovery, affecting the accuracy and consistency of payment results. Therefore, it is necessary to design a convenient payment system for electricity service halls that improves personalized service levels, user-friendliness, and operational stability. Summary of the Invention

[0003] The purpose of this invention is to provide a convenient payment system for electricity service halls to solve the problems mentioned in the background art.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a convenient payment system for electricity business halls, comprising: The user feature perception module is used to collect feature parameters of the current user based on facial image capture, operation touch behavior sampling and voiceprint recognition, and generate a set of comprehensive feature parameters based on the collection results; The comprehensive feature analysis module is used to classify and distinguish comprehensive feature parameters, automatically identify users as standard users, weak users or abnormal users, and issue interactive interface adjustment instructions according to user category; The interactive interface adaptive module is used to dynamically switch between standard mode, simplified mode or auxiliary guidance mode according to the instructions of the interactive interface. The bill anomaly detection module is used to monitor user payment bill data in real time. By calculating the bill volatility and electricity consumption trend anomaly rate, if the volatility or trend anomaly rate exceeds the preset safety range, the anomaly handling interface is triggered, and the user is guided to choose to question, correct or continue to pay. The offline fault-tolerant payment module automatically switches to local bill caching mode when the system detects a network interruption or instability, records user payment operations, generates a local payment token, and then synchronizes the payment according to the success rate formula after the network is restored. Perform batch synchronization of cached data; if R is below 90%, initiate the administrator intervention mechanism. The system's central coordination module is used to monitor the running status of the above modules in real time. It completes module linkage and dynamic resource allocation through an event-driven mechanism, ensuring that vulnerable users, exception handling, and offline operations can all be completed within the system response latency threshold, thus guaranteeing user experience continuity and data consistency.

[0005] According to the above technical solution, the user feature perception module specifically includes: The facial image analysis unit is used to collect user avatar data and estimate the user's age range based on an age prediction model, while also analyzing emotional state; The operation behavior sampling unit records the user's first click latency, continuous click accuracy, and page dwell time on the touchscreen. It also calculates the operation complexity index (D) using the formula: in, This represents the average click response time. This represents the number of consecutive incorrect clicks. This represents the number of consecutive correct clicks. The voiceprint recognition unit is used to collect the user's voice characteristics through a sound pickup device, and to score the speaking speed and clarity as cross-validation data.

[0006] According to the above technical solution, the dynamic switching steps of the interactive interface adaptive module include: S1, receives the user category instruction output by the comprehensive feature analysis module; S2, switch the current interface to the corresponding interaction mode according to the command. The standard mode displays all function modules by default, the simplified mode removes the advanced settings entry and only retains the two steps of "query bill" and "one-click payment", and the auxiliary guidance mode adds voice broadcast and guidance animation. S3: The system continuously monitors user actions. If, in simplified or auxiliary mode, five consecutive clicks are made without error and the operation delay is less than the standard threshold T, a prompt will appear asking whether to switch to a more efficient interaction mode. S4 retains the user's completed steps and input during the switching process, avoiding information loss caused by the switch and improving the smoothness of mode migration; S5: If users encounter significant operational difficulties in the new mode, the system provides a "one-click back" button to return to the previous familiar interaction mode, reducing the user's operational burden.

[0007] According to the above technical solution, the bill anomaly detection module specifically includes: The historical electricity consumption data retrieval unit is used to retrieve and standardize the user's electricity bills for the most recent six months. The volatility calculation unit uses the formula: Calculate volatility, where This is the current bill amount. This is the historical average amount; The trend anomaly detection unit analyzes the electricity consumption trend curve for abnormal jumps or drops based on the rolling window algorithm and determines whether it exceeds the threshold. The anomaly handling guidance unit automatically prompts the user to choose one of three actions when the volatility V exceeds the set upper limit or when the trend detection is abnormal: continue to pay, postpone payment, or contact customer service. If the user chooses to contact customer service, the system freezes the current bill operation permissions until a human customer service representative has finished processing the issue and issued new instructions.

[0008] According to the above technical solution, the offline fault-tolerant payment module specifically includes: The network status detection unit is used to monitor the current network connection status of the device by periodically sending heartbeat packets. If the heartbeat response times out or the packet loss rate exceeds the set threshold, the offline mode is triggered. The local bill caching unit is used to encrypt and store the user's currently selected bill information in the local storage unit, and generate an independent local payment token. The token generation formula is as follows: Token = Hash(Bill ID + Payment Amount + Timestamp + Device ID) The synchronization control unit, after network recovery, reads local cached bills in batches, sends them to the server through a synchronization verification process, and evaluates synchronization integrity based on the synchronization success rate R. If R is below the set threshold of 90%, the manual review process will be automatically triggered, and the user will be notified of the bill processing status on the interface to prevent the flow of funds from being messed up due to offline operation. Meanwhile, during the synchronization process, in order to avoid a sudden spike in server load caused by batch synchronization, the system is equipped with an adaptive rate limiting mechanism, which dynamically adjusts the upload rate based on the device's CPU load and network bandwidth to ensure the overall stable operation of the system.

[0009] According to the above technical solution, the system's central coordination module adopts an event-driven linkage mechanism, including: Each functional module generates a status event when a critical state change occurs; The event scheduler monitors the status events of each module in real time and generates coordination instructions based on event priority and resource scheduling rules. The coordination module allocates computing resources and interface display priorities based on a unified resource management pool, ensuring that each module responds promptly and without lag when multiple tasks are running concurrently. It also provides redundancy processing strategies to prevent the main process from being blocked, which would lead to a decline in the user experience.

[0010] According to the above technical solution, when a user is identified as a vulnerable user and an abnormal bill is detected during operation, the system executes an anomaly protection strategy, specifically including: A1, Freeze the current bill payment operation to prevent users from accidentally paying abnormal amounts; A2, the system automatically pops up a simplified bill details interface, listing only the necessary fields; A3 uses voice prompts to guide users in understanding the reasons for bill changes; A4 provides a quick "one-click contact customer service" entry to reduce operational complexity. It also includes a secondary verification process that requires users to clearly confirm their intentions before proceeding, preventing accidental activation that could lead to unreasonable payments.

[0011] According to the above technical solution, the interactive interface adaptive module further includes an intelligent rollback mechanism, specifically including: After switching interaction modes, the system monitors the user's first five actions in the new mode; If two or more consecutive click errors are detected, or the average click latency is greater than the set threshold T1, or the operation pause time exceeds the set threshold T2, the rollback mechanism will be triggered. The system automatically rolls back to the user's previously familiar interaction mode, and retains all the payment information that the user has entered during the rollback process to avoid user frustration caused by information loss; After the rollback, a pop-up window will display the reason for the rollback and provide two options: "Keep the current mode" and "Continue to use the new mode," respecting the user's choice.

[0012] According to the above technical solution, the bill anomaly detection module further adopts a multi-anomaly fusion judgment mechanism, including: Independently assess three dimensions: volatility anomaly, trend anomaly, and historical arrears anomaly. Different weights are assigned to each anomaly determination result to generate a comprehensive anomaly score S, where the comprehensive score formula is: in, These represent volatility, trend, and historical arrears anomaly scores, respectively. The weighting coefficients are dynamically adjustable and satisfy the following conditions: The system determines whether to pop up an anomaly alert window and guide the user through subsequent operations based on the comprehensive score S, thereby improving the accuracy of anomaly detection and personalized processing capabilities.

[0013] According to the above technical solution, the offline fault-tolerant payment module further includes a multi-token consistency verification method, specifically including: When the network is restored, if there are multiple unsynchronized bill tokens in the local storage, the system will arrange them according to the order of their generation time and perform server synchronization verification one by one. If multiple tokens with different amounts are found for the same bill ID during the synchronization process, the system will use the most recent timestamp priority principle to process them and retain the latest operation record; If there is a bill ID conflict and the amount difference exceeds the set threshold of 5%, the system will mark the token as an abnormal item and enter the manual review channel. After synchronization is complete, the system generates a synchronization verification report and updates the server billing log to ensure billing consistency and data traceability during offline cache batch processing.

[0014] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention, (1) By introducing a user feature perception and interface adaptive adjustment mechanism, the present invention can dynamically optimize the payment interface and interaction process according to the actual characteristics of users, such as age group, operating habits, hearing or visual ability, reduce the error rate, and improve the user-friendliness and satisfaction of various users, especially the elderly and disabled. (2) Through the multi-dimensional bill data anomaly detection mechanism, potential problems such as electricity consumption fluctuations and arrears can be identified in a timely manner, and risk warnings can be issued to users in advance to guide them to check bills and handle them reasonably, effectively reducing complaints and operational disputes caused by abnormal bills; (3) By using local bill caching, encrypted token generation and consistency verification, we ensure that users can complete the payment operation even during network interruption or fluctuation, and that subsequent data synchronization is reliable and consistent, avoiding payment failure or data loss. (4) By setting up a central coordination module, the system can uniformly manage the status changes and resource calls of each functional module. In multi-user concurrent, high-load or abnormal scenarios, it can realize intelligent adjustment of task priority and dynamic coordination of modules, ensuring that the overall system response speed is fast and the stability is high. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the system module composition of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Please see Figure 1 The present invention provides a technical solution: a convenient payment system for electricity business halls, comprising: The user feature perception module is used to collect feature parameters of the current user based on facial image capture, operation touch behavior sampling and voiceprint recognition, and generate a set of comprehensive feature parameters based on the collection results; In this embodiment of the invention, the user feature perception module specifically includes: The facial image analysis unit is used to collect user avatar data and estimate the user's age range based on an age prediction model, while also analyzing emotional state; The operation behavior sampling unit records the user's first click latency, continuous click accuracy, and page dwell time on the touchscreen. It also calculates the operation complexity index (D) using the formula: in, This represents the average click response time. This represents the number of consecutive incorrect clicks. This represents the number of consecutive correct clicks. The voiceprint recognition unit is used to collect the user's voice characteristics through a sound pickup device, and to score the speaking speed and clarity as cross-validation data.

[0018] The comprehensive feature analysis module is used to classify and differentiate comprehensive feature parameters, automatically identifying users as standard users, vulnerable users, or abnormal users, and issuing interactive interface adjustment instructions according to user category. If a user meets the criteria of slow operation, obvious facial anxiety features, and voiceprint speech speed below the set value, they are classified as a vulnerable user, and the system automatically switches to assisted guidance mode. If the features are normal, the standard mode is maintained; if the features are abnormal and contradictory (such as rapid operation but anxious expression), the system pops up a window to confirm the user's intention. The user feature perception module not only performs basic identity authentication but also refines to dimensions such as operation behavior, usage preferences, and interaction habits, dynamically collecting and calculating operation complexity indicators and comprehensive feature parameters. Through algorithmic formulaic modeling, different users can be accurately distinguished, providing solid data support for subsequent adaptive interaction and greatly improving the accuracy of the system's personalized matching. The interactive interface adaptive module is used to dynamically switch between standard mode, simplified mode or auxiliary guidance mode according to the interactive interface adjustment instructions. In standard mode, the full functions are displayed, in simplified mode, non-core functions are hidden, and in auxiliary guidance mode, voice interaction and graphical guidance are provided. For example, the dynamic switching steps of the interactive interface adaptive module include: S1, receives the user category instruction output by the comprehensive feature analysis module; S2, switch the current interface to the corresponding interaction mode according to the command. The standard mode displays all function modules by default, the simplified mode removes the advanced settings entry and only retains the two steps of "query bill" and "one-click payment", and the auxiliary guidance mode adds voice broadcast and guidance animation. S3: The system continuously monitors user actions. If, in simplified or auxiliary mode, five consecutive clicks are made without error and the operation delay is less than the standard threshold T, a prompt will appear asking whether to switch to a more efficient interaction mode. S4 retains the user's completed steps and input during the switching process, avoiding information loss caused by the switch and improving the smoothness of mode migration; S5: If users encounter significant operational difficulties in the new mode, the system provides a "one-click back" button to return to the previous familiar interaction mode, reducing the user's operational burden. For example, in this embodiment of the invention, the interactive interface adaptive module further includes an intelligent rollback mechanism, specifically including: After switching interaction modes, the system monitors the user's first five actions in the new mode; If two or more consecutive click errors are detected, or the average click latency is greater than the set threshold T1, or the operation pause time exceeds the set threshold T2, the rollback mechanism will be triggered. The system automatically rolls back to the user's previously familiar interaction mode, and retains all the payment information that the user has entered during the rollback process to avoid user frustration caused by information loss; After the rollback, a pop-up window will display the reason for the rollback and provide two options: "Keep the current mode" and "Continue to use the new mode," respecting the user's choice.

[0019] The bill anomaly detection module is used to monitor user payment bill data in real time. By calculating the bill volatility and electricity consumption trend anomaly rate, if the volatility or trend anomaly rate exceeds the preset safety range, the anomaly handling interface is triggered, and the user is guided to choose to question, correct or continue to pay. For example, in this embodiment of the invention, the bill anomaly detection module specifically includes: The historical electricity consumption data retrieval unit is used to retrieve and standardize the user's electricity bills for the most recent six months. The volatility calculation unit uses the formula: Calculate volatility, where This is the current bill amount. This is the historical average amount; The trend anomaly detection unit analyzes the electricity consumption trend curve for abnormal jumps or drops based on the rolling window algorithm and determines whether it exceeds the threshold. The anomaly handling guidance unit automatically prompts the user to choose one of three actions when the volatility V exceeds the set upper limit or when the trend detection is abnormal: continue to pay, postpone payment, or contact customer service. If the user chooses to contact customer service, the system freezes the current bill operation permissions until the human customer service has finished handling the matter and issued new instructions. The bill anomaly detection module further employs a multi-anomaly fusion judgment mechanism, including: Independently assess three dimensions: volatility anomaly, trend anomaly, and historical arrears anomaly. Different weights are assigned to each anomaly determination result to generate a comprehensive anomaly score S, where the comprehensive score formula is: in, These represent volatility, trend, and historical arrears anomaly scores, respectively. The weighting coefficients are dynamically adjustable and satisfy the following conditions: The system determines whether to pop up an anomaly alert window and guide the user through subsequent operations based on the comprehensive score S, thereby improving the accuracy of anomaly detection and personalized processing capabilities.

[0020] The offline fault-tolerant payment module automatically switches to local bill caching mode when the system detects a network interruption or instability, records user payment operations, generates a local payment token, and then synchronizes the payment according to the success rate formula after the network is restored. Perform batch synchronization of cached data; if R is below 90%, initiate the administrator intervention mechanism. In this embodiment of the invention, the offline fault-tolerant payment module specifically includes: The network status detection unit is used to monitor the current network connection status of the device by periodically sending heartbeat packets. If the heartbeat response times out or the packet loss rate exceeds the set threshold, the offline mode is triggered. The local bill caching unit is used to encrypt and store the user's currently selected bill information in the local storage unit, and generate an independent local payment token. The token generation formula is as follows: Token = Hash(Bill ID + Payment Amount + Timestamp + Device ID) The synchronization control unit, after network recovery, reads local cached bills in batches, sends them to the server through a synchronization verification process, and evaluates synchronization integrity based on the synchronization success rate R. If R is below the set threshold of 90%, the manual review process will be automatically triggered, and the user will be notified of the bill processing status on the interface to prevent the flow of funds from being messed up due to offline operation. Meanwhile, during the synchronization process, in order to avoid a sudden spike in server load caused by batch synchronization, the system is equipped with an adaptive rate limiting mechanism, which dynamically adjusts the upload rate based on the device's CPU load and network bandwidth to ensure the overall stable operation of the system. The offline fault-tolerant payment module further includes a multi-token consistency verification method, specifically including: When the network is restored, if there are multiple unsynchronized bill tokens in the local storage, the system will arrange them according to the order of their generation time and perform server synchronization verification one by one. If multiple tokens with different amounts are found for the same bill ID during the synchronization process, the system will use the most recent timestamp priority principle to process them and retain the latest operation record; If there is a bill ID conflict and the amount difference exceeds the set threshold of 5%, the system will mark the token as an abnormal item and enter the manual review channel. After synchronization is complete, the system generates a synchronization verification report and updates the server billing log to ensure billing consistency and data traceability during offline cache batch processing.

[0021] The system's central coordination module is used to monitor the running status of the above modules in real time. It completes module linkage and dynamic resource allocation through an event-driven mechanism to ensure that vulnerable users, exception handling, and offline operations can all be completed within the system response latency threshold, thus ensuring the continuity of user experience and data consistency. The system's central coordination module adopts an event-driven linkage mechanism, including: Each functional module generates a status event when a key status change occurs (such as user identification completion, interaction mode switching completion, bill anomaly detection completion, offline mode trigger). The event scheduler monitors the status events of each module in real time and generates coordination instructions based on event priority and resource scheduling rules. For example, if a user is identified as a vulnerable user and an abnormal bill is detected at the same time, the assisted guidance mode will be triggered first and the payment operation of the abnormal bill will be suspended to avoid user anxiety or incorrect payment. The coordination module allocates computing resources and interface display priorities based on a unified resource management pool, ensuring that each module responds promptly and without lag when multiple tasks are running concurrently. It also provides redundancy processing strategies to prevent the main process from being blocked, which would lead to a decline in the user experience.

[0022] In this embodiment of the invention, when a user is identified as a vulnerable user and an anomaly in the bill is detected during operation, the system executes an anomaly protection strategy, specifically including: A1, Freeze the current bill payment operation to prevent users from accidentally paying abnormal amounts; A2. The system automatically pops up a simplified bill details interface, listing only the necessary fields (such as electricity usage month, amount, and percentage increase or decrease compared to the previous bill). A3 uses voice prompts to guide users in understanding the reasons for bill changes; A4 provides a quick "one-click contact customer service" entry to reduce operational complexity. It also includes a secondary verification process that requires users to clearly confirm their intentions before proceeding, preventing accidental activation that could lead to unreasonable payments.

[0023] This invention aims to address the problems of inaccurate user identification, unfriendly user interface, delayed processing of abnormal bills, and poor reliability under network fluctuations in existing power service hall payment systems. It proposes a convenient payment system for power service halls, which significantly improves user operation convenience, system intelligent response capability, and overall service continuity by introducing multimodal user feature perception, adaptive interface adjustment, intelligent detection of bill anomalies, and offline fault tolerance mechanism. It has a particularly significant optimization effect on vulnerable users and complex payment scenarios.

[0024] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0025] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0026] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0027] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A convenient payment system for electricity service halls, characterized in that, include: The user feature perception module is used to collect feature parameters of the current user based on facial image capture, operation touch behavior sampling and voiceprint recognition, and generate a set of comprehensive feature parameters based on the collection results; The comprehensive feature analysis module is used to classify and distinguish comprehensive feature parameters, automatically identify users as standard users, weak users or abnormal users, and issue interactive interface adjustment instructions according to user category; The interactive interface adaptive module is used to dynamically switch between standard mode, simplified mode or auxiliary guidance mode according to the instructions of the interactive interface. The bill anomaly detection module is used to monitor user payment bill data in real time. By calculating the bill volatility and electricity consumption trend anomaly rate, if the volatility or trend anomaly rate exceeds the preset safety range, the anomaly handling interface is triggered, and the user is guided to choose to question, correct or continue to pay. The offline fault-tolerant payment module automatically switches to local bill caching mode when the system detects a network interruption or instability, records user payment operations, generates a local payment token, and then synchronizes the payment according to the success rate formula after the network is restored. Perform batch synchronization of cached data; if R is below 90%, initiate the administrator intervention mechanism. The system's central coordination module is used to monitor the running status of the above modules in real time. It completes module linkage and dynamic resource allocation through an event-driven mechanism, ensuring that vulnerable users, exception handling, and offline operations can all be completed within the system response latency threshold, thus guaranteeing user experience continuity and data consistency.

2. The convenient payment system for electricity business halls according to claim 1, characterized in that: The user feature perception module specifically includes: The facial image analysis unit is used to collect user avatar data and estimate the user's age range based on an age prediction model, while also analyzing emotional state; The operation behavior sampling unit records the user's first click latency, continuous click accuracy, and page dwell time on the touchscreen. It also calculates the operation complexity index (D) using the formula: in, This represents the average click response time. This represents the number of consecutive incorrect clicks. This represents the number of consecutive correct clicks. The voiceprint recognition unit is used to collect the user's voice characteristics through a sound pickup device, and to score the speaking speed and clarity as cross-validation data.

3. The convenient payment system for electricity business halls according to claim 1, characterized in that: The dynamic switching steps of the adaptive module of the interactive interface include: S1, receives the user category instruction output by the comprehensive feature analysis module; S2, switch the current interface to the corresponding interaction mode according to the command. The standard mode displays all function modules by default, the simplified mode removes the advanced settings entry and only retains the two steps of "query bill" and "one-click payment", and the auxiliary guidance mode adds voice broadcast and guidance animation. S3: The system continuously monitors user actions. If, in simplified or auxiliary mode, five consecutive clicks are made without error and the operation delay is less than the standard threshold T, a prompt will appear asking whether to switch to a more efficient interaction mode. S4 retains the user's completed steps and input during the switching process, avoiding information loss caused by the switch and improving the smoothness of mode migration; S5: If users encounter significant operational difficulties in the new mode, the system provides a "one-click back" button to return to the previous familiar interaction mode, reducing the user's operational burden.

4. The convenient payment system for electricity business halls according to claim 1, characterized in that: The bill anomaly detection module specifically includes: The historical electricity consumption data retrieval unit is used to retrieve and standardize the user's electricity bills for the past six months. The volatility calculation unit uses the formula: Calculate volatility, where This is the current bill amount. This is the historical average amount; The trend anomaly detection unit analyzes the electricity consumption trend curve for abnormal jumps or drops based on the rolling window algorithm and determines whether it exceeds the threshold. The anomaly handling guidance unit automatically prompts the user to choose one of three actions when the volatility V exceeds the set upper limit or when the trend detection is abnormal: continue to pay, postpone payment, or contact customer service. If the user chooses to contact customer service, the system freezes the current bill operation permissions until a human customer service representative has finished processing the issue and issued new instructions.

5. A convenient payment system for electricity service halls according to claim 4, characterized in that: The offline fault-tolerant payment module specifically includes: The network status detection unit is used to monitor the current network connection status of the device by periodically sending heartbeat packets. If the heartbeat response times out or the packet loss rate exceeds the set threshold, the offline mode is triggered. The local bill caching unit is used to encrypt and store the user's currently selected bill information in the local storage unit, and generate an independent local payment token. The token generation formula is as follows: Token = Hash(Bill ID + Payment Amount + Timestamp + Device ID) The synchronization control unit, after network recovery, reads local cached bills in batches, sends them to the server through a synchronization verification process, and evaluates synchronization integrity based on the synchronization success rate R. If R is below the set threshold of 90%, the manual review process will be automatically triggered, and the user will be notified of the bill processing status on the interface to prevent the flow of funds from being messed up due to offline operation. Meanwhile, during the synchronization process, in order to avoid a sudden spike in server load caused by batch synchronization, the system is equipped with an adaptive rate limiting mechanism, which dynamically adjusts the upload rate based on the device's CPU load and network bandwidth to ensure the overall stable operation of the system.

6. The convenient payment system for electricity business halls according to claim 1, characterized in that: The system's central coordination module adopts an event-driven linkage mechanism, including: Each functional module generates a status event when a critical state change occurs; The event scheduler monitors the status events of each module in real time and generates coordination instructions based on event priority and resource scheduling rules. The coordination module allocates computing resources and interface display priorities based on a unified resource management pool, ensuring that each module responds promptly and without lag when multiple tasks are running concurrently. It also provides redundancy processing strategies to prevent the main process from being blocked, which would lead to a decline in the user experience.

7. The convenient payment system for electricity business halls according to claim 1, characterized in that: When a user is identified as a vulnerable user and an anomaly is detected in the billing process, the system executes an anomaly protection policy, which includes: A1, Freeze the current bill payment operation to prevent users from accidentally paying abnormal amounts; A2, the system automatically pops up a simplified bill details interface, listing only the necessary fields; A3 uses voice prompts to guide users in understanding the reasons for bill changes; A4 provides a quick "one-click contact customer service" entry to reduce operational complexity. It also includes a secondary verification process that requires users to clearly confirm their intentions before proceeding, preventing accidental activation that could lead to unreasonable payments.

8. A convenient payment system for electricity service halls according to claim 3, characterized in that: The adaptive interface module further includes an intelligent rollback mechanism, specifically including: After switching interaction modes, the system monitors the user's first five actions in the new mode; If two or more consecutive click errors are detected, or the average click latency is greater than the set threshold T1, or the operation pause time exceeds the set threshold T2, the rollback mechanism will be triggered. The system automatically rolls back to the user's previously familiar interaction mode, and retains all the payment information that the user has entered during the rollback process to avoid user frustration caused by information loss; After the rollback, a pop-up window will display the reason for the rollback and provide two options: "Keep the current mode" and "Continue to use the new mode", respecting the user's choice.

9. A convenient payment system for electricity business halls according to claim 4, characterized in that: The bill anomaly detection module further employs a multi-anomaly fusion judgment mechanism, including: Independently assess three dimensions: volatility anomaly, trend anomaly, and historical arrears anomaly. Different weights are assigned to each anomaly determination result to generate a comprehensive anomaly score S, where the comprehensive score formula is: in, These represent volatility, trend, and historical arrears anomaly scores, respectively. The weighting coefficients are dynamically adjustable and satisfy the following conditions: The system determines whether to pop up an anomaly alert window and guide the user through subsequent operations based on the comprehensive score S, thereby improving the accuracy of anomaly detection and personalized processing capabilities.

10. A convenient payment system for electricity service halls according to claim 5, characterized in that: The offline fault-tolerant payment module further includes a multi-token consistency verification method, specifically including: When the network is restored, if there are multiple unsynchronized bill tokens in the local storage, the system will arrange them according to the order of their generation time and perform server synchronization verification one by one. If multiple tokens with different amounts are found for the same bill ID during the synchronization process, the system will use the most recent timestamp priority principle to process them and retain the latest operation record; If there is a bill ID conflict and the amount difference exceeds the set threshold of 5%, the system will mark the token as an abnormal item and enter the manual review channel. After synchronization is complete, the system generates a synchronization verification report and updates the server billing log to ensure billing consistency and data traceability during offline cache batch processing.

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