Supervision management and control system based on improvement of power marketing service level

Abstract

The invention, which relates to the technical field of the electric power supervision management and control system, discloses a supervision management and control system based on improvement of the electric power marketing service level, and the system integrates four modules of data acquisition, data analysis, supervision management and control and feedback improvement. Basic information, service requests and service process records of clients are collected through the data acquisition module; the data analysis module identifies problems and bottlenecks in the service process; the supervision and control module comprises a real-time monitoring and early warning system sub-module, a service quality evaluation model sub-module, a process monitoring and optimizing sub-module and the like and can supervise and control the service process in real time, and the feedback improvement module collects customer feedback and service evaluation and continuously improves and optimizes the service. The system also has a self-learning upgrading capability, continuously optimizes the service process through an internal feedback mechanism, improves the service quality, effectively solves the defects of an existing power marketing service system in the aspects of supervision and control, and provides a more efficient and convenient service solution for the power industry.

Description

Technical Field

[0001] The present invention relates to technology, in particular to a supervision and control system based on improving the service level of power marketing. Background Art

[0002] As is known, the power marketing service system, as an important part of the power industry, undertakes multiple functions such as power sales, customer service, and market management. The system integrates information technology and business processes to achieve comprehensive monitoring and management of the power sales process, including the entry of customer information, the receipt and processing of service requests, and the recording and tracking of service processes. With the continuous development of the power market and the increasing diversification of customer needs, the power marketing service system is facing higher and higher requirements. It is not only necessary to be able to quickly respond to customer service needs and provide efficient and convenient service experience, but also to be able to continuously optimize service processes and improve service quality to meet the dual pressures of market competition and customer satisfaction.

[0003] The shortcoming of the existing technology is that, although there are already some power marketing service systems on the market, these systems still have many deficiencies in supervision and control. First, the existing systems often lack comprehensive data collection and analysis capabilities, and cannot accurately identify problems and bottlenecks in the service process, resulting in a lack of basis for service optimization. Secondly, the existing systems have shortcomings in real-time monitoring and early warning, and cannot promptly detect and handle abnormal situations in the service process, affecting the stability and reliability of the service. In addition, the existing systems also have deficiencies in process monitoring and optimization, detection and correction of violations, performance management and incentive mechanisms, etc., and cannot form effective closed-loop management, which limits the further improvement of service quality. Compared with the present invention, the existing systems still have a large gap in intelligence, automation and integration, and cannot meet the high standards of current power marketing services. Summary of the invention

[0004] The purpose of the present invention is to provide a supervision and control system based on improving the service level of power marketing, so as to solve the above-mentioned deficiencies in the prior art.

[0005] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: comprising: a data acquisition module, a data analysis module, a supervision and control module and a feedback improvement module, characterized in that:

[0006] Supervision and control modules, including real-time monitoring and early warning systems, service quality assessment models, process monitoring and optimization, violation detection and correction, and performance management and incentive mechanisms;

[0007] Process monitoring and optimization, including process visualization and dynamic adjustment, bottleneck identification and intelligent optimization, process standardization and compliance inspection, and process optimization effect evaluation;

[0008] Bottleneck identification and intelligent optimization, where bottleneck identification includes data analysis, feedback and discussion, visualization tools, stress testing, and monitoring and diagnosis; intelligent optimization includes optimization algorithms, optimization processes, improved technology, additional resources, and training and learning;

[0009] Monitoring and diagnosis, including real-time monitoring and alerting, code-level performance analysis, log analysis and anomaly detection, distributed tracing and dependency analysis;

[0010] At the same time, through the system's internal feedback mechanism, various results are fed back in the following ways to achieve self-learning upgrades of the system:

[0011] Code-level performance analysis results are fed back to intelligent optimization;

[0012] Improve technology, optimize algorithms, and add resource results to the data analysis module;

[0013] Training and learning results are fed back to the feedback improvement module;

[0014] The results of the optimized process are fed back to the supervision and control system based on improving the level of power marketing services.

[0015] As a further description of the above technical solution: Data collection module: used to collect various types of data in the power marketing service process, including customer basic information, service requests, and service process records.

[0016] Data analysis module: Analyze the collected data, identify problems and bottlenecks in the service process, and provide a basis for optimizing services.

[0017] Supervision and control module: Based on the analysis results, the service process is monitored and controlled in real time to ensure that service standards are uniformly implemented.

[0018] Feedback Improvement Module: Collect customer feedback and service evaluations to continuously improve and optimize services.

[0019] As a further description of the above technical solution: the supervision and control module includes:

[0020] Real-time monitoring and early warning system, including data integration: through API interface or database synchronization.

[0021] Threshold setting: Set reasonable thresholds or ranges for each service indicator based on historical data and industry standards.

[0022] Real-time monitoring: The system monitors various service indicators in real time.

[0023] Service quality assessment model, including model construction.

[0024] Regular evaluation: The system regularly runs the service quality evaluation model and generates a service quality report.

[0025] Process monitoring and optimization, including process visualization: The entire process of power marketing services is visualized through flowcharts, Gantt charts, etc., to facilitate monitoring and identification of bottlenecks.

[0026] Bottleneck identification and optimization: The system analyzes process data and automatically identifies bottlenecks in the service process.

[0027] Violation detection and correction, including rule setting.

[0028] Behavior monitoring: The system monitors the behavior of service personnel in real time through technologies such as keyword filtering and behavior pattern recognition.

[0029] Corrective Actions: For violations, the system provides corrective action suggestions.

[0030] Performance management and incentive mechanism, including performance indicator setting.

[0031] Performance evaluation: The system regularly evaluates the performance of service personnel and generates performance evaluation reports.

[0032] Incentive mechanism: Implement corresponding incentive mechanism based on performance evaluation results.

[0033] As a further description of the above technical solution: the process monitoring and optimization includes:

[0034] Process visualization and dynamic adjustment, including high-definition process diagrams.

[0035] Dynamic update mechanism: The system supports dynamic update of processes.

[0036] Real-time process monitoring: Monitor the status of each service link through real-time data display.

[0037] Bottleneck identification and intelligent optimization, including intelligent algorithm identification of bottlenecks: using big data analysis and machine learning algorithms, the system can automatically identify bottlenecks in the service process.

[0038] Generation of optimization suggestions: The system generates optimization suggestions for identified bottlenecks.

[0039] Simulation and optimization verification: The system supports simulation of the process. By simulating the effects of different optimization schemes, it helps managers select the best scheme and verify whether the optimized process achieves the expected results.

[0040] Process standardization and compliance checking, which includes process standardization.

[0041] Compliance check: The system can automatically check whether the service process complies with laws and regulations, industry standards and internal company policies.

[0042] Process improvement feedback loop: Establish a process improvement feedback loop mechanism.

[0043] Process optimization effect evaluation, which includes effect evaluation indicators.

[0044] Regular evaluation reports: The system regularly generates process optimization effect evaluation reports.

[0045] Continuous optimization suggestions: Based on the evaluation results, the system can generate continuous optimization suggestions to help managers continuously improve service processes and enhance service quality.

[0046] As a further description of the above technical solution: the bottleneck identification and intelligent optimization includes two parts, one of which is bottleneck identification:

[0047] Data analysis: Identify potential bottlenecks by collecting and analyzing data while a workflow or system is running.

[0048] Feedback and discussion: Provide feedback and discuss with team members, users or relevant experts to obtain opinions and suggestions from different perspectives.

[0049] Visualization tools: Use visualization tools such as mind maps and flowcharts to visualize the workflow or system architecture.

[0050] Stress testing: Observe the performance of the system under high load by simulating a large number of concurrent users accessing the system or performing work tasks.

[0051] Monitoring and diagnosis: APM (application performance management) tools can go deep into the code level to help developers identify performance issues in the code. For example, a function takes too long to execute, or a database query is very time-consuming. At the same time, potential problems can also be discovered by analyzing application logs.

[0052] As a further description of the above technical solution: Another part of the bottleneck identification and intelligent optimization is intelligent optimization:

[0053] Optimization algorithm: Use intelligent optimization algorithms to find the global optimal or approximate optimal solution to complex problems.

[0054] Optimize processes: By optimizing the workflow or system architecture, you can shorten the completion time of work tasks or improve the response speed of the system.

[0055] Improve technology: Use advanced technology to solve bottleneck problems.

[0056] Add resources: If the bottleneck problem is caused by insufficient resources, you can consider adding corresponding resources to solve the problem.

[0057] Training and learning: To address bottlenecks caused by insufficient capabilities of team members, their capabilities can be improved through training and learning.

[0058] As a further description of the above technical solution: the monitoring and diagnosis includes:

[0059] Real-time monitoring and alerting: Use the real-time monitoring function of APM tools to continuously monitor various performance indicators of the application.

[0060] Code-level performance analysis: Use the code-level analysis function of the APM tool to collect and analyze the application's code execution data.

[0061] Log analysis and anomaly detection: Collect and analyze application logs to identify potential anomalies, errors, or performance issues.

[0062] Distributed tracing and dependency analysis: Use the distributed tracing capabilities of APM tools to track request paths across multiple services or components.

[0063] The present invention has the following beneficial effects:

[0064] 1. Comprehensively improve the level of power marketing services: Through the comprehensive use of modules such as data collection, analysis, and supervision and control, this patent can accurately identify problems and bottlenecks in the service process, provide a strong basis for service optimization, and thus comprehensively improve the level of power marketing services.

[0065] 2. Real-time monitoring and early warning: The system's built-in real-time monitoring and early warning system can promptly detect abnormal situations during the service process and remind relevant personnel through emails, text messages or system notifications to ensure that problems are handled in a timely manner to avoid service interruptions or quality degradation.

[0066] 3. Intelligent process optimization: Using big data analysis and machine learning algorithms, the system can automatically identify bottlenecks in the service process and generate optimization suggestions. By simulating the effects of different optimization solutions, it helps managers choose the best solution and achieve intelligent process optimization.

[0067] 4. Promote service standardization and compliance: The system supports standardized management of processes to ensure that each service link complies with industry norms and company standards. At the same time, the system can automatically check whether the service process complies with legal and regulatory requirements to ensure service compliance.

[0068] 5. Establish a continuous improvement mechanism: By collecting customer feedback and service evaluation, the system can continuously improve and optimize services. At the same time, the feedback mechanism within the system can also achieve self-learning and upgrading of the system, and continuously improve the performance and effectiveness of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0070] Figure 1 A schematic diagram of the structure of a system module flow chart is provided for an embodiment of the present invention; DETAILED DESCRIPTION

[0071] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0072] See also Figure 1 The embodiment of the present invention provides a technical solution for a supervision and control system based on improving the service level of power marketing: including: a data acquisition module, a data analysis module, a supervision and control module and a feedback improvement module, characterized in that:

[0073] Supervision and control modules, including real-time monitoring and early warning systems, service quality assessment models, process monitoring and optimization, violation detection and correction, and performance management and incentive mechanisms;

[0074] Process monitoring and optimization, including process visualization and dynamic adjustment, bottleneck identification and intelligent optimization, process standardization and compliance inspection, and process optimization effect evaluation;

[0075] Bottleneck identification and intelligent optimization, where bottleneck identification includes data analysis, feedback and discussion, visualization tools, stress testing, and monitoring and diagnosis; intelligent optimization includes optimization algorithms, optimization processes, improved technology, additional resources, and training and learning;

[0076] Monitoring and diagnosis, including real-time monitoring and alerting, code-level performance analysis, log analysis and anomaly detection, distributed tracing and dependency analysis;

[0077] At the same time, through the system's internal feedback mechanism, various results are fed back in the following ways to achieve self-learning upgrades of the system:

[0078] Code-level performance analysis results are fed back to intelligent optimization;

[0079] Improve technology, optimize algorithms, and add resource results to the data analysis module;

[0080] Training and learning results are fed back to the feedback improvement module;

[0081] The results of the optimized process are fed back to the supervision and control system based on improving the level of power marketing services.

[0082] In yet another embodiment provided by the present invention, preferably, the data collection module is used to collect various types of data in the process of power marketing services, including basic customer information, service requests, and service process records.

[0083] Data analysis module: Analyze the collected data, identify problems and bottlenecks in the service process, and provide a basis for optimizing services.

[0084] Supervision and control module: Based on the analysis results, the service process is monitored and controlled in real time to ensure that service standards are uniformly implemented.

[0085] Feedback Improvement Module: Collect customer feedback and service evaluations to continuously improve and optimize services.

[0086] In another embodiment provided by the present invention, the supervision and control module includes:

[0087] Real-time monitoring and early warning system, including data integration: through API interface or database synchronization, key data in the power marketing service process (such as service request volume, processing progress, customer satisfaction, etc.) are integrated into the supervision and control system in real time.

[0088] Threshold setting: Based on historical data and industry standards, set reasonable thresholds or ranges for various service indicators, such as service response time not exceeding 24 hours and complaint rate not exceeding 1%.

[0089] Real-time monitoring: The system monitors various service indicators in real time. Once an indicator exceeds the set threshold, an early warning is triggered immediately, and relevant personnel are reminded via email, SMS or system notification.

[0090] Service quality assessment model, which includes model construction: Based on machine learning algorithms, a service quality assessment model is constructed, which can comprehensively consider multiple service indicators and automatically evaluate the overall service quality level.

[0091] Regular evaluation: The system runs the service quality evaluation model regularly (such as daily, weekly or monthly) to generate a service quality report, including the score, ranking and improvement suggestions of each indicator.

[0092] Process monitoring and optimization, including process visualization: The entire process of power marketing services is visualized through flowcharts, Gantt charts, etc., to facilitate monitoring and identification of bottlenecks.

[0093] Bottleneck identification and optimization: The system analyzes process data and automatically identifies bottlenecks in the service process, such as long processing time and uneven resource allocation, and makes optimization suggestions, such as adding staff and adjusting the process sequence.

[0094] Violation detection and correction, including rule setting: a series of service rules are set according to service standards and industry norms, such as not disclosing customer information and not rejecting reasonable service requests.

[0095] Behavior monitoring: The system monitors the behavior of service personnel in real time through technologies such as keyword filtering and behavior pattern recognition. Once any violation is found, it will be recorded immediately and the relevant personnel will be notified for processing.

[0096] Corrective measures: For violations, the system provides corrective measures suggestions, such as retraining, job adjustment, etc., and tracks the implementation of corrective measures to ensure that the problem is completely resolved.

[0097] Performance management and incentive mechanism, including performance indicator setting: setting clear performance indicators for service personnel, such as customer satisfaction, service efficiency, complaint rate, etc.

[0098] Performance evaluation: The system regularly evaluates the performance of service personnel and generates performance evaluation reports, including individual scores, rankings, and improvement suggestions.

[0099] Incentive mechanism: Based on the performance evaluation results, implement corresponding incentive mechanisms, such as bonuses, promotion opportunities, etc., to stimulate the enthusiasm and creativity of service personnel.

[0100] In another embodiment provided by the present invention, process monitoring and optimization includes:

[0101] Process visualization and dynamic adjustment, including high-definition flowcharts: using advanced visualization technology to build high-definition service flowcharts, detailing each service link, participants, processing time and other information, so that managers can quickly understand the overall service picture.

[0102] Dynamic update mechanism: The system supports dynamic updating of processes. When the service process changes (such as adding new links, adjusting the order, merging links, etc.), the system can automatically update the flowchart to ensure the accuracy and timeliness of the information.

[0103] Real-time process monitoring: Through real-time data display, the system can monitor the status of each service link, such as pending, in progress, completed, etc., to help managers discover and handle abnormal situations in a timely manner.

[0104] Bottleneck identification and intelligent optimization, including intelligent algorithm identification of bottlenecks: using big data analysis and machine learning algorithms, the system can automatically identify bottlenecks in the service process, such as long processing time, uneven resource allocation, duplication of work, etc.

[0105] Generation of optimization suggestions: For the identified bottlenecks, the system can generate optimization suggestions, such as adding manpower, adjusting the process sequence, introducing automation tools, etc., and provide specific implementation steps and expected results.

[0106] Simulation and optimization verification: The system supports simulation of the process. By simulating the effects of different optimization schemes, it helps managers select the best scheme and verify whether the optimized process achieves the expected results.

[0107] Process standardization and compliance checking, including process standardization: the system supports standardized management of processes. By defining standard process templates, it ensures that each service link complies with industry specifications and company standards, thereby improving service quality and efficiency.

[0108] Compliance check: The system can automatically check whether the service process complies with laws and regulations, industry norms and internal company policies. Once any violation is found, the management personnel will be immediately reminded to deal with it.

[0109] Process improvement feedback loop: Establish a process improvement feedback loop mechanism to encourage employees to put forward process improvement suggestions, and form a virtuous cycle of continuous improvement through systematic recording, evaluation and implementation.

[0110] Process optimization effect evaluation, which includes effect evaluation indicators: set clear process optimization effect evaluation indicators, such as the percentage of shortened processing time, the percentage of increased resource utilization, and the improvement of customer satisfaction.

[0111] Regular evaluation reports: The system regularly generates process optimization effect evaluation reports, showing comparative data before and after optimization, as well as the implementation effects of optimization measures.

[0112] Continuous optimization suggestions: Based on the evaluation results, the system can generate continuous optimization suggestions to help managers continuously improve service processes and enhance service quality.

[0113] In another embodiment provided by the present invention, bottleneck identification and intelligent optimization include two parts, one of which is bottleneck identification:

[0114] Data analysis: By collecting and analyzing data from workflows or system runtimes, potential bottlenecks can be discovered. For example, you can count the time it takes to complete a task and identify the time-consuming process; or monitor key indicators such as the system's CPU utilization, memory usage, disk I / O, and network bandwidth to identify performance bottlenecks.

[0115] Feedback and discussion: Conduct feedback and discussions with team members, users, or relevant experts to obtain opinions and suggestions from different perspectives. They may provide some perspectives and experiences to help identify potential bottlenecks.

[0116] Visualization tools: Using visualization tools such as mind maps and flowcharts to visualize the workflow or system architecture can help to more clearly display the relationships and dependencies between various links, making it easier to identify bottleneck problems.

[0117] Stress testing: By simulating a large number of concurrent users accessing the system or performing work tasks, observe the performance of the system under high load and identify which parts cannot handle the expected load. This method helps to find the performance bottleneck of the system in high-concurrency scenarios.

[0118] Monitoring and diagnosis: APM (application performance management) tools can go deep into the code level to help developers identify performance issues in the code. For example, a function takes too long to execute, or a database query is very time-consuming. At the same time, by analyzing application logs, potential problems can also be discovered, such as long database query response time and frequent failure of certain service calls.

[0119] In yet another embodiment provided by the present invention, another part of bottleneck identification and intelligent optimization is intelligent optimization:

[0120] Optimization algorithm: Use intelligent optimization algorithms, such as genetic algorithm, particle swarm algorithm, ant colony algorithm, etc. These algorithms usually have powerful search capabilities and global search capabilities, and can find the global optimal or approximate optimal solution to complex problems. Taboo search algorithm is also an important intelligent optimization algorithm. It introduces taboo tables to record and avoid cyclic paths, thereby jumping out of the trap of local optimal solutions and promoting a wider exploration of search space.

[0121] Optimize the process: By optimizing the workflow or system architecture, you can shorten the completion time of work tasks or improve the response speed of the system. For example, you can try to redistribute work tasks to reduce the dependency and waiting time of links; or distribute requests to multiple servers through load balancing to reduce the pressure on a single server.

[0122] Improve technology: Use advanced technical means to solve bottleneck problems. For example, in software development, more efficient algorithms or data structures can be introduced to reduce computing time; in system performance optimization, CDN (content distribution network) can be used to reduce network latency and increase data transmission speed.

[0123] Increase resources: If the bottleneck problem is caused by insufficient resources, you can consider adding corresponding resources to solve the problem. For example, you can increase human resources, equipment and facilities to improve work efficiency or system processing capacity.

[0124] Training and learning: To address bottlenecks caused by insufficient team member capabilities, training and learning can be used to improve team member capabilities. For example, training courses, sharing sessions and other activities can be organized to allow team members to learn new knowledge and skills to improve their work efficiency and problem-solving capabilities.

[0125] In yet another embodiment provided by the present invention, monitoring and diagnosis include:

[0126] Real-time monitoring and alerting: Use the real-time monitoring function of APM tools to continuously monitor the performance indicators of applications. Set reasonable performance thresholds. When indicators are abnormal, alarms are automatically triggered and relevant personnel are notified. Analyze the alarm information to determine the source and severity of the performance problem.

[0127] Code-level performance analysis: Use the code-level analysis function of the APM tool to collect and analyze the application's code execution data. Identify code segments or functions that take too long to execute or consume too many resources, and optimize them. Through code performance analysis, potential code problems such as memory leaks and invalid calculations can be discovered.

[0128] Log analysis and anomaly detection: Collect and analyze application logs to identify potential anomalies, errors, or performance issues. Use the search, filtering, and aggregation capabilities provided by log analysis tools to quickly locate problems. Analyze abnormal logs, determine the root cause of the problem, and take appropriate remediation measures.

[0129] Distributed tracing and dependency analysis: Use the distributed tracing function of APM tools to track the request path across multiple services or components. Analyze the request topology and call chain to identify delays and bottlenecks between services. Optimize the dependencies between services to reduce unnecessary calls and delays.

[0130] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A supervision and control system based on improving the level of power marketing services, including: The data collection module, data analysis module, supervision and control module and feedback improvement module are characterized in that: Supervision and control modules, including real-time monitoring and early warning systems, service quality assessment models, process monitoring and optimization, violation detection and correction, and performance management and incentive mechanisms; Process monitoring and optimization, including process visualization and dynamic adjustment, bottleneck identification and intelligent optimization, process standardization and compliance inspection, and process optimization effect evaluation; Bottleneck identification and intelligent optimization, where bottleneck identification includes data analysis, feedback and discussion, visualization tools, stress testing, and monitoring and diagnosis; intelligent optimization includes optimization algorithms, optimization processes, improved technology, additional resources, and training and learning; Monitoring and diagnosis, including real-time monitoring and alerting, code-level performance analysis, log analysis and anomaly detection, distributed tracing and dependency analysis; At the same time, through the system's internal feedback mechanism, various results are fed back in the following ways to achieve self-learning upgrades of the system: Code-level performance analysis results are fed back to intelligent optimization; Improve technology, optimize algorithms, and add resource results to the data analysis module; Training and learning results are fed back to the feedback improvement module; The results of the optimized process are fed back to the supervision and control system based on improving the level of power marketing services.

2. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: Data collection module: used to collect various types of data in the power marketing service process, including basic customer information, service requests, and service process records. Data analysis module: Analyze the collected data, identify problems and bottlenecks in the service process, and provide a basis for optimizing services. Supervision and control module: Based on the analysis results, the service process is monitored and controlled in real time to ensure that service standards are uniformly implemented. Feedback Improvement Module: Collect customer feedback and service evaluations to continuously improve and optimize services.

3. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: The supervision and control module includes: Real-time monitoring and early warning system, including data integration: through API interface or database synchronization. Threshold setting: Set reasonable thresholds or ranges for each service indicator based on historical data and industry standards. Real-time monitoring: The system monitors various service indicators in real time. Service quality assessment model, including model construction. Regular evaluation: The system regularly runs the service quality evaluation model and generates a service quality report. Process monitoring and optimization, including process visualization: The entire process of power marketing services is visualized through flowcharts, Gantt charts, etc., to facilitate monitoring and identification of bottlenecks. Bottleneck identification and optimization: The system analyzes process data and automatically identifies bottlenecks in the service process. Violation detection and correction, including rule setting. Behavior monitoring: The system monitors the behavior of service personnel in real time through technologies such as keyword filtering and behavior pattern recognition. Corrective Actions: For violations, the system provides corrective action suggestions. Performance management and incentive mechanism, including performance indicator setting. Performance evaluation: The system regularly evaluates the performance of service personnel and generates performance evaluation reports. Incentive mechanism: Implement corresponding incentive mechanism based on performance evaluation results.

4. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: The process monitoring and optimization includes: Process visualization and dynamic adjustment, including high-definition process diagrams. Dynamic update mechanism: The system supports dynamic update of processes. Real-time process monitoring: Monitor the status of each service link through real-time data display. Bottleneck identification and intelligent optimization, including intelligent algorithm identification of bottlenecks: using big data analysis and machine learning algorithms, the system can automatically identify bottlenecks in the service process. Generation of optimization suggestions: The system generates optimization suggestions for identified bottlenecks. Simulation and optimization verification: The system supports simulation of the process. By simulating the effects of different optimization schemes, it helps managers select the best scheme and verify whether the optimized process achieves the expected results. Process standardization and compliance checking, which includes process standardization. Compliance check: The system can automatically check whether the service process complies with laws and regulations, industry standards and internal company policies. Process improvement feedback loop: Establish a process improvement feedback loop mechanism. Process optimization effect evaluation, which includes effect evaluation indicators. Regular evaluation reports: The system regularly generates process optimization effect evaluation reports. Continuous optimization suggestions: Based on the evaluation results, the system can generate continuous optimization suggestions to help managers continuously improve service processes and enhance service quality.

5. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: The bottleneck identification and intelligent optimization include two parts, one of which is bottleneck identification: Data analysis: Identify potential bottlenecks by collecting and analyzing data while a workflow or system is running. Feedback and discussion: Provide feedback and discuss with team members, users or relevant experts to obtain opinions and suggestions from different perspectives. Visualization tools: Use visualization tools such as mind maps and flowcharts to visualize the workflow or system architecture. Stress testing: Observe the performance of the system under high load by simulating a large number of concurrent users accessing the system or performing work tasks. Monitoring and diagnosis: APM (application performance management) tools can go deep into the code level to help developers identify performance issues in the code. For example, a function takes too long to execute, or a database query is very time-consuming. At the same time, potential problems can also be discovered by analyzing application logs.

6. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: Another part of the bottleneck identification and intelligent optimization is intelligent optimization: Optimization algorithm: Use intelligent optimization algorithms to find the global optimal or approximate optimal solution to complex problems. Optimize processes: By optimizing the workflow or system architecture, you can shorten the completion time of work tasks or improve the response speed of the system. Improve technology: Use advanced technology to solve bottleneck problems. Add resources: If the bottleneck problem is caused by insufficient resources, you can consider adding corresponding resources to solve the problem. Training and learning: To address bottlenecks caused by insufficient capabilities of team members, their capabilities can be improved through training and learning.

7. The supervision and control system based on improving the power marketing service level according to claim 1 is characterized in that: The monitoring and diagnosis include: Real-time monitoring and alerting: Use the real-time monitoring function of APM tools to continuously monitor various performance indicators of the application. Code-level performance analysis: Use the code-level analysis function of the APM tool to collect and analyze the application's code execution data. Log analysis and anomaly detection: Collect and analyze application logs to identify potential anomalies, errors, or performance issues. Distributed tracing and dependency analysis: Use the distributed tracing capabilities of APM tools to track request paths across multiple services or components.

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