Mobile terminal integration method of thermal power and new energy power production management system

Abstract

The invention relates to the technical field of power system regulation and control, in particular to a mobile terminal integration method of a thermal power and new energy power production management system, which comprises the following steps: constructing a multi-source data access model based on the operation characteristics of a thermal power generating unit and new energy equipment; key operation parameters are collected to generate a dynamic working condition vector; identifying power supply nodes needing priority regulation and control and generating a regulation and control identification set; generating a cooperative regulation and control instruction set adaptive to the multiple types of power supplies; packaging the regulation and control instruction into a standardized task package and adapting to various mobile terminal interaction protocols; and finally, pushing the task packet to an authorized terminal for execution by a user, and returning operation feedback to form a control closed loop. According to the invention, full-process integration of thermal power and new energy data fusion, strategy linkage and mobile execution is realized, intelligence, real-time performance and mobile terminal adaptability of multi-source regulation and control are improved, and the method is suitable for a fusion scheduling scene of a regional centralized control center, power plant field operation and maintenance and a distributed energy system.

Description

Technical Field

[0001] This invention relates to the field of power system control technology, and in particular to a mobile terminal integration method for thermal power and new energy power production management systems. Background Technology

[0002] As the proportion of new energy sources continues to increase, the power system is gradually evolving from the traditional centralized thermal power-dominated model to a complex structure of diversified complementarity between thermal power and new energy sources. In actual operation, the intermittent and fluctuating characteristics of new energy sources such as wind and solar power place higher demands on system regulation capabilities. Thermal power units are widely used to undertake regulation and reserve tasks to achieve a dynamic balance between source, load, and storage. Simultaneously, the trend towards mobile operation and maintenance personnel necessitates the migration of dispatch systems to mobile terminals to improve response efficiency and emergency response capabilities.

[0003] While some systems have achieved mobile monitoring of thermal power or new energy sources, they often suffer from the following problems: First, there is a lack of unified data access standards, with significant differences in protocols and timing among new energy equipment, making data fusion difficult. Second, control decisions are mostly statically set, making it difficult to dynamically identify key nodes and generate real-time instructions. Third, the mobile terminal interface functions are fragmented, the authorization mechanism is imperfect, and the execution flow of control tasks is broken, making it difficult to close the data feedback loop. These problems severely restrict scheduling efficiency, affect system stability, and hinder the level of intelligent operation and maintenance. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides a mobile terminal integration method for thermal power and new energy power production management systems.

[0005] A method for integrating mobile terminals into a thermal power and new energy power production management system includes the following steps: S1: Based on the operating parameters of thermal power units and the power curve characteristics of new energy power generation equipment, a multi-source power production data access model is constructed to realize the real-time collection of operating data of various power equipment. S2: Real-time acquisition of key operating parameters of boilers, turbines, auxiliary equipment and new energy power plants in thermal power plants through data access models. Key operating parameters include wind speed, irradiance and power factor, and dynamic operating condition vectors are generated. S3: Based on dynamic operating condition vectors, the scheduling impact calculation rules are applied to automatically identify power nodes that need to be prioritized for regulation and generate a set of regulation identifiers containing regulation priorities. S4: Based on the control identifier set, and taking into account the equipment response characteristics and energy efficiency optimization strategies, generate a set of coordinated control instructions that are compatible with thermal power and new energy equipment; S5: Convert the control instruction set into a standardized task package adapted to different types of mobile terminal operating systems and interactive interfaces to ensure correct command recognition and interactive feedback; S6: Push the task package to the authorized mobile terminal in the form of an interface. The terminal user can view, adjust and execute instructions based on the permission level, and at the same time send back operation feedback and on-site data in real time.

[0006] Optionally, S1 includes: S11, Data Acquisition Interface Configuration: Heterogeneous protocol access interfaces are configured for thermal power units and new energy equipment respectively. Thermal power units use OPC DA / UA interfaces, while new energy equipment uses IEC 61850 or Modbus TCP interfaces. S12, Real-time data extraction: Data extraction is performed on various protocol interfaces through a unified acquisition and scheduling framework using polling or event-driven methods. The collected data includes status variables, analog variables, and telemetry. S13, Data Alignment and Caching: The collected data is aligned according to the timestamp, and a high-frequency buffer is built for asynchronous buffering of multi-source data streams to avoid information inconsistency caused by different sampling periods; S14, Unified Coding and Tag Mapping: Maps various equipment parameters to a unified feature tag system, realizes unified physical quantity identification, standardized equipment numbering and normalized sampling frequency, and generates a data access model with a unified structure.

[0007] Optionally, S2 includes: S21, Key Parameter Screening Mechanism: Based on the equipment operation risk assessment system, priority screening is carried out for the main steam temperature, turbine load rate, boiler combustion efficiency in thermal power systems and wind speed and irradiance indicators in new energy power plants. S22, Feature Construction: Standardize and normalize the dimensions of the key operating parameters obtained from the screening, and construct thermal power operation sub-vectors and new energy operation sub-vectors according to equipment type; S23, Operating Condition Fusion and Vector Stitching: Different power supply sub-vectors are stitched together according to the time axis and equipment groups to form a complete dynamic operating condition vector, which includes the operating status and trend indicators of each equipment at the current moment, and is used for scheduling and analysis module calls.

[0008] Optionally, S3 includes: S31, Construction of the Dispatch Impact Assessment Model: Based on dynamic operating condition vectors, a comprehensive impact assessment model is constructed using fuzzy rule reasoning, expert knowledge graphs, and historical control response data. S32, Priority Control Node Identification: Based on the output of the evaluation model, identify the power supply nodes that have the greatest impact on grid frequency and voltage stability in the current scheduling cycle and mark them as high control priority; S33, Definition of Control Identifier Field: Add control direction (increase / decrease power), upper limit of adjustment and predicted response time to the identified control node to form a structured control identifier set for use in the next step of instruction generation.

[0009] Optionally, S4 includes: S41, Equipment Response Capability Modeling: Based on the equipment's operating history, establish response delay models, maximum ramp rate models, and minimum stable power models for typical thermal power units and new energy power plants. S42, Construction of the control objective function: Based on the requirements of power grid operation, a comprehensive control objective function is established, prioritizing system safety and then optimizing energy efficiency and economic indicators; S43, Multi-source control command generation mechanism: Based on the control identifier set and objective function, a rolling optimization algorithm is used to dynamically generate control commands including node number, control amplitude, and response time window, and distinguish between thermal power and new energy sub-commands according to equipment type; S44, Anomaly Detection and Redundancy Strategy: For potentially unresponsive nodes, set up redundant channels for control commands to ensure that the control plan is fault-tolerant and robust.

[0010] Optionally, S5 includes: S51, Standardized Interaction Format: The control command set is encapsulated into a command package that conforms to the JSON or XML structure, and interaction hierarchy structure tags are added to facilitate mobile terminal parsing and interface mapping; S52, Device Compatibility Matching: Automatically selects UI templates and control styles based on the terminal operating system type (such as Android, iOS, industrial control Linux) to ensure cross-terminal interface consistency; S53, Security Encryption and Digital Signature: Adds terminal identification code, digital signature and encryption verification field to the command packet to ensure that the control command is tamper-proof and traceable; S54, Generate task package index information: Generate a unique identifier, timestamp, and permission level identifier for each task package, which can be used for task issuance and execution authorization.

[0011] Optionally, S6 includes: S61, Permission-based push mechanism: Task packages are pushed to the corresponding user terminals through the central service platform according to permissions, ensuring that the task content matches the user's operation permissions; S62, Task Execution and Interactive Interface Display: The mobile terminal loads instruction information, execution options and real-time feedback buttons according to the received task package content, and supports graphical display of control indicators; S63, Operation Feedback Collection: After executing a task, the mobile terminal automatically collects the user's selection result, operation delay time, and execution exception flag, and packages them into a feedback data stream; S64, Feedback Data Transmission and Update: Feedback data is transmitted back to the management system in real time and used to update task status and control database, forming a complete closed-loop control path.

[0012] Optionally, S6 further includes: S65, Structured encapsulation of feedback data: Classify the feedback data generated by the end user in performing tasks, including operation confirmation information, response delay, and device status change records; S66, Command Matching and Comparison Mechanism: The system compares the feedback data with the original control commands field by field to analyze the task completion rate and response deviation; S67, Generate Closed-Loop Evaluation Report: Generate a control effectiveness evaluation report based on the comparison results. The report includes response accuracy, control delay, abnormal records, and user ratings. S68, Result Feedback Mechanism: The evaluation report is fed back to the central control platform to update the control strategy database and guide subsequent control optimization.

[0013] Optionally, the security protection mechanism for the task package during the push and execution process includes: User identity dynamic authentication mechanism: Based on two-factor authentication technology, it verifies the permissions of mobile terminal operators and supports login via face recognition, fingerprint recognition or dynamic password. Task package digital signature and verification mechanism: Each task package is digitally signed using an asymmetric encryption algorithm, and the signature is decrypted and verified at the terminal to ensure the trustworthiness of the task package source; Key instruction confirmation mechanism: For instructions involving unit start-up and shutdown, and high-power dispatch, users are required to confirm the operation intention a second time, and an unalterable confirmation record is generated on the system side; Local anti-tampering log mechanism: The terminal automatically records all command display and operation process logs locally and stores them in encrypted form, which facilitates source tracing and responsibility determination in case of anomalies.

[0014] The beneficial effects of this invention are: This invention, by constructing a unified multi-source power production data access model, supports protocol parsing and parameter normalization for thermal power and new energy equipment, significantly improving the synchronization capability of heterogeneous equipment data and the efficiency of operating condition vector construction, laying the foundation for subsequent unified control.

[0015] This invention, through the construction of a control identifier set and a coordinated control instruction set, can dynamically identify and adjust key nodes, issue optimized control instructions based on real-time operating status, enhance the coordinated scheduling capability between thermal power and new energy, and adapt to variable load demands.

[0016] This invention standardizes and encapsulates control tasks and pushes them to various types of mobile terminals, supporting permission-based execution, result feedback, and closed-loop updates. This not only improves the response efficiency of on-site operators but also achieves traceability and verifiability of the scheduling chain. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the method flow according to an embodiment of the present invention. Detailed Implementation

[0019] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0020] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.

[0021] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.

[0022] like Figure 1 As shown, the mobile terminal integration method for the thermal power and new energy power production management system includes the following steps: S1: Based on the operating parameters of thermal power units and the power curve characteristics of new energy power generation equipment, a multi-source power production data access model is constructed to realize the real-time collection of operating data of various power equipment. S2: Real-time acquisition of key operating parameters of boilers, turbines, auxiliary equipment and new energy power plants in thermal power plants through data access models. Key operating parameters include wind speed, irradiance and power factor, and dynamic operating condition vectors are generated. S3: Based on dynamic operating condition vectors, the scheduling impact calculation rules are applied to automatically identify power nodes that need to be prioritized for regulation and generate a set of regulation identifiers containing regulation priorities. S4: Based on the control identifier set, and taking into account the equipment response characteristics and energy efficiency optimization strategies, generate a set of coordinated control instructions that are compatible with thermal power and new energy equipment; S5: Convert the control instruction set into a standardized task package that adapts to different types of mobile terminal operating systems and interactive interfaces, ensuring correct command recognition and interactive feedback; S6: Push the task package to the authorized mobile terminal in the form of an interface. The terminal user can view, adjust and execute instructions according to the permission level, and at the same time send back operation feedback and on-site data in real time.

[0023] S1 includes: S11, Data Acquisition Interface Configuration: Heterogeneous protocol access interfaces are configured for thermal power units and new energy equipment respectively. Thermal power units use OPC DA / UA interfaces, while new energy equipment uses IEC 61850 or Modbus TCP interfaces. S12, Real-time data extraction: Data extraction is performed on various protocol interfaces through a unified acquisition and scheduling framework using polling or event-driven methods. The collected data includes status variables, analog variables, and telemetry. S13, Data Alignment and Caching: The collected data is aligned according to the timestamp, and a high-frequency buffer is built for asynchronous buffering of multi-source data streams to avoid information inconsistency caused by different sampling periods; S14, Unified Coding and Tag Mapping: Maps various equipment parameters to a unified feature tag system, realizes unified physical quantity identification, standardized equipment numbering and normalized sampling frequency, and generates a data access model with a unified structure.

[0024] S2 includes: S21, Key Parameter Screening Mechanism: Based on the equipment operation risk assessment system, priority screening is carried out for the main steam temperature, turbine load rate, boiler combustion efficiency in thermal power systems and wind speed and irradiance indicators in new energy power plants. S22, Feature Construction: Standardize and normalize the dimensions of the key operating parameters obtained from the screening, and construct thermal power operation sub-vectors and new energy operation sub-vectors according to equipment type; S23, Operating Condition Fusion and Vector Stitching: Different power supply sub-vectors are stitched together according to the time axis and equipment groups to form a complete dynamic operating condition vector, which includes the operating status and trend indicators of each equipment at the current moment, and is used for scheduling and analysis module calls.

[0025] S3 includes: S31, Construction of the Dispatch Impact Assessment Model: Based on dynamic operating condition vectors, a comprehensive impact assessment model is constructed using fuzzy rule reasoning, expert knowledge graphs, and historical control response data. S32, Priority Control Node Identification: Based on the output of the evaluation model, identify the power supply nodes that have the greatest impact on grid frequency and voltage stability in the current scheduling cycle and mark them as high control priority; S33, Definition of Control Identifier Field: Add control direction (increase / decrease power), upper limit of adjustment and predicted response time to the identified control node to form a structured control identifier set for use in the next step of instruction generation.

[0026] S4 includes: S41, Equipment Response Capability Modeling: Based on the equipment's operating history, establish response delay models, maximum ramp rate models, and minimum stable power models for typical thermal power units and new energy power plants. S42, Construction of the control objective function: Based on the requirements of power grid operation, a comprehensive control objective function is established, prioritizing system safety and then optimizing energy efficiency and economic indicators; S43, Multi-source control command generation mechanism: Based on the control identifier set and objective function, a rolling optimization algorithm is used to dynamically generate control commands including node number, control amplitude, and response time window, and distinguish between thermal power and new energy sub-commands according to equipment type; S44, Anomaly Detection and Redundancy Strategy: For potentially unresponsive nodes, set up redundant channels for control commands to ensure that the control plan is fault-tolerant and robust.

[0027] S5 includes: S51, Standardized Interaction Format: The control command set is encapsulated into a command package that conforms to the JSON or XML structure, and interaction hierarchy structure tags are added to facilitate mobile terminal parsing and interface mapping; S52, Device Compatibility Matching: Automatically selects UI templates and control styles based on the terminal operating system type (such as Android, iOS, industrial control Linux) to ensure cross-terminal interface consistency; S53, Security Encryption and Digital Signature: Adds terminal identification code, digital signature and encryption verification field to the command packet to ensure that the control command is tamper-proof and traceable; S54, Generate task package index information: Generate a unique identifier, timestamp, and permission level identifier for each task package, which can be used for task issuance and execution authorization.

[0028] S6 includes: S61, Permission-based push mechanism: Task packages are pushed to the corresponding user terminals through the central service platform according to permissions, ensuring that the task content matches the user's operation permissions; S62, Task Execution and Interactive Interface Display: The mobile terminal loads instruction information, execution options and real-time feedback buttons according to the received task package content, and supports graphical display of control indicators; S63, Operation Feedback Collection: After executing a task, the mobile terminal automatically collects the user's selection result, operation delay time, and execution exception flag, and packages them into a feedback data stream; S64, Feedback Data Transmission and Update: Feedback data is transmitted back to the management system in real time and used to update task status and control database, forming a complete closed-loop control path.

[0029] S6 also includes: S65, Structured encapsulation of feedback data: Classify the feedback data generated by the end user in performing tasks, including operation confirmation information, response delay, and device status change records; S66, Command Matching and Comparison Mechanism: The system compares the feedback data with the original control commands field by field to analyze the task completion rate and response deviation; S67, Generate Closed-Loop Evaluation Report: Generate a control effectiveness evaluation report based on the comparison results. The report includes response accuracy, control delay, abnormal records, and user ratings. S68, Result Feedback Mechanism: The evaluation report is fed back to the central control platform to update the control strategy database and guide subsequent control optimization.

[0030] During the task package push and execution process, the security protection mechanisms include: User identity dynamic authentication mechanism: Based on two-factor authentication technology, it verifies the permissions of mobile terminal operators and supports login via face recognition, fingerprint recognition or dynamic password. Task package digital signature and verification mechanism: Each task package is digitally signed using an asymmetric encryption algorithm, and the signature is decrypted and verified at the terminal to ensure the trustworthiness of the task package source; Key instruction confirmation mechanism: For instructions involving unit start-up and shutdown, and high-power dispatch, users are required to confirm the operation intention a second time, and an unalterable confirmation record is generated on the system side; Local anti-tampering log mechanism: The terminal automatically records all command display and operation process logs locally and stores them in encrypted form, which facilitates source tracing and responsibility determination in case of anomalies.

[0031] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0032] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A mobile terminal integration method for thermal power and new energy power production management systems, characterized in that, Includes the following steps: S1: Based on the operating parameters of thermal power units and the power curve characteristics of new energy power generation equipment, a multi-source power production data access model is constructed to realize the real-time collection of operating data of various power equipment. S2: Real-time acquisition of key operating parameters of boilers, turbines, auxiliary equipment and new energy power plants in thermal power plants through data access models. Key operating parameters include wind speed, irradiance and power factor, and dynamic operating condition vectors are generated. S3: Based on dynamic operating condition vectors, the scheduling impact calculation rules are applied to automatically identify power nodes that need to be prioritized for regulation and generate a set of regulation identifiers containing regulation priorities. S4: Based on the control identifier set, and taking into account the equipment response characteristics and energy efficiency optimization strategies, generate a set of coordinated control instructions that are compatible with thermal power and new energy equipment; S5: Convert the control instruction set into a standardized task package adapted to different types of mobile terminal operating systems and interactive interfaces to ensure correct command recognition and interactive feedback; S6: Push the task package to the authorized mobile terminal in the form of an interface. The terminal user can view, adjust and execute instructions based on the permission level, and at the same time send back operation feedback and on-site data in real time.

2. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 1, characterized in that, S1 includes: S11, Data Acquisition Interface Configuration: Heterogeneous protocol access interfaces are configured for thermal power units and new energy equipment respectively. Thermal power units use OPC DA / UA interfaces, while new energy equipment uses IEC 61850 or Modbus TCP interfaces. S12, Real-time data extraction: Data extraction is performed on various protocol interfaces through a unified acquisition and scheduling framework using polling or event-driven methods. The collected data includes status variables, analog variables, and telemetry. S13, Data Alignment and Caching: The collected data is aligned according to the timestamp, and a high-frequency buffer is built for asynchronous buffering of multi-source data streams to avoid information inconsistency caused by different sampling periods; S14, Unified Coding and Tag Mapping: Maps various equipment parameters to a unified feature tag system, realizes unified physical quantity identification, standardized equipment numbering and normalized sampling frequency, and generates a data access model with a unified structure.

3. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 2, characterized in that, S2 includes: S21, Key Parameter Screening Mechanism: Based on the equipment operation risk assessment system, priority screening is carried out for the main steam temperature, turbine load rate, boiler combustion efficiency in thermal power systems and wind speed and irradiance indicators in new energy power plants. S22, Feature Construction: Standardize and normalize the dimensions of the key operating parameters obtained from the screening, and construct thermal power operation sub-vectors and new energy operation sub-vectors according to equipment type; S23, Operating Condition Fusion and Vector Stitching: Different power supply sub-vectors are stitched together according to the time axis and equipment groups to form a complete dynamic operating condition vector, which includes the operating status and trend indicators of each equipment at the current moment, and is used for scheduling and analysis module calls.

4. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 3, characterized in that, S3 includes: S31, Construction of the Dispatch Impact Assessment Model: Based on dynamic operating condition vectors, a comprehensive impact assessment model is constructed using fuzzy rule reasoning, expert knowledge graphs, and historical control response data. S32, Priority Control Node Identification: Based on the output of the evaluation model, identify the power supply nodes that have the greatest impact on grid frequency and voltage stability in the current scheduling cycle and mark them as high control priority; S33, Definition of Control Identifier Field: Add control direction (increase / decrease power), upper limit of adjustment and predicted response time to the identified control node to form a structured control identifier set for use in the next step of instruction generation.

5. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 4, characterized in that, S4 includes: S41, Equipment Response Capability Modeling: Based on the equipment's operating history, establish response delay models, maximum ramp rate models, and minimum stable power models for typical thermal power units and new energy power plants. S42, Construction of the control objective function: Based on the requirements of power grid operation, a comprehensive control objective function is established, prioritizing system safety and then optimizing energy efficiency and economic indicators; S43, Multi-source control command generation mechanism: Based on the control identifier set and objective function, a rolling optimization algorithm is used to dynamically generate control commands including node number, control amplitude, and response time window, and distinguish between thermal power and new energy sub-commands according to equipment type; S44, Anomaly Detection and Redundancy Strategy: For potentially unresponsive nodes, set up redundant channels for control commands to ensure that the control plan is fault-tolerant and robust.

6. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 5, characterized in that, S5 includes: S51, Standardized Interaction Format: The control command set is encapsulated into a command package that conforms to the JSON or XML structure, and interaction hierarchy structure tags are added to facilitate mobile terminal parsing and interface mapping; S52, Device Compatibility Matching: Automatically selects UI templates and control styles based on the terminal operating system type (such as Android, iOS, industrial control Linux) to ensure cross-terminal interface consistency; S53, Security Encryption and Digital Signature: Adds terminal identification code, digital signature and encryption verification field to the command packet to ensure that the control command is tamper-proof and traceable; S54, Generate task package index information: Generate a unique identifier, timestamp, and permission level identifier for each task package, which can be used for task issuance and execution authorization.

7. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 6, characterized in that, S6 includes: S61, Permission-based push mechanism: Task packages are pushed to the corresponding user terminals through the central service platform according to permissions, ensuring that the task content matches the user's operation permissions; S62, Task Execution and Interactive Interface Display: The mobile terminal loads instruction information, execution options and real-time feedback buttons according to the received task package content, and supports graphical display of control indicators; S63, Operation Feedback Collection: After executing a task, the mobile terminal automatically collects the user's selection result, operation delay time, and execution exception flag, and packages them into a feedback data stream; S64, Feedback Data Transmission and Update: Feedback data is transmitted back to the management system in real time and used to update task status and control database, forming a complete closed-loop control path.

8. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 7, characterized in that, S6 further includes: S65, Structured encapsulation of feedback data: Classify the feedback data generated by the end user in performing tasks, including operation confirmation information, response delay, and device status change records; S66, Command Matching and Comparison Mechanism: The system compares the feedback data with the original control commands field by field to analyze the task completion rate and response deviation; S67, Generate Closed-Loop Evaluation Report: Generate a control effectiveness evaluation report based on the comparison results. The report includes response accuracy, control delay, abnormal records, and user ratings. S68, Result Feedback Mechanism: The evaluation report is fed back to the central control platform to update the control strategy database and guide subsequent control optimization.

9. The mobile terminal integration method for the thermal power and new energy power production management system according to claim 8, characterized in that, The security protection mechanism for the task package during its push and execution includes: User identity dynamic authentication mechanism: Based on two-factor authentication technology, it verifies the permissions of mobile terminal operators and supports login via face recognition, fingerprint recognition or dynamic password. Task package digital signature and verification mechanism: Each task package is digitally signed using an asymmetric encryption algorithm, and the signature is decrypted and verified at the terminal to ensure the trustworthiness of the task package source; Key instruction confirmation mechanism: For instructions involving unit start-up and shutdown, and high-power dispatch, users are required to confirm the operation intention a second time, and an unalterable confirmation record is generated on the system side; Local anti-tampering log mechanism: The terminal automatically records all command display and operation process logs locally and stores them in encrypted form, which facilitates source tracing and responsibility determination in case of anomalies.

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