Maintenance-oriented thermal power generation rotary auxiliary machine equipment full life cycle cost performance evaluation system

Abstract

The invention discloses a maintenance-oriented thermal power generation rotary auxiliary machine equipment full-life-cycle cost performance evaluation system, and belongs to the field of thermal power auxiliary equipment full-life-cycle management. The invention discloses a maintenance-oriented thermal power generation rotary auxiliary machine equipment full life cycle cost performance evaluation system. The system comprises an equipment data acquisition module, a data analysis module, a result analysis module and a man-machine interaction module. The method solves the problems that an existing device fault is difficult to predict and the maintenance cost is high, and the actual operation condition of the thermal power generation rotary auxiliary machine device is known by obtaining operation and cost data and calculating the quantitative comparison between the cost and the efficiency through the cost-efficiency ratio model. The cost of each maintenance scheme can be compared according to the quantitative comparison result of the cost and the efficiency, the maintenance scheme with the highest cost performance is determined, and the operation and cost data and the quantitative comparison result can be visually displayed, so that the state and the maintenance plan of the auxiliary equipment can be visually understood and mastered.

Description

Technical Field

[0001] The present invention relates to the technical field of full life cycle management of thermal power auxiliary equipment, and in particular to a full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment oriented to maintenance. Background Art

[0002] The rotating auxiliary equipment of thermal power generation is one of the important auxiliary equipment in thermal power plants, and its operating status directly affects the stability and economic benefits of the entire system. However, due to the complexity of the equipment working environment and the particularity of the equipment itself, traditional equipment maintenance management often faces many challenges. The failure of existing thermal power generation rotating auxiliary equipment is difficult to predict, the maintenance cost is high, and once a failure occurs, it often causes a large economic loss; therefore, it does not meet the existing needs. In this regard, we propose a full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment for maintenance. Summary of the invention

[0003] The purpose of the present invention is to provide a maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment. By setting a data acquisition interface, the operation and cost data of the equipment are obtained. Based on the operation and cost data, a cost-effectiveness model can be used to calculate the quantitative comparison of the cost and efficiency of the auxiliary equipment, so as to understand the actual operation of the thermal power generation rotating auxiliary equipment. The costs of various maintenance plans can also be compared through the quantitative comparison results of cost and efficiency, and then the maintenance plan with the highest cost-effectiveness can be determined. The operation and cost data and the quantitative comparison results can be visualized to intuitively understand and grasp the status and maintenance plan of the auxiliary equipment, thereby solving the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment, comprising:

[0005] Equipment data acquisition module, used for:

[0006] Set up a data collection interface to collect data records of thermal power generation rotating auxiliary equipment, and then obtain the operation and cost data of the equipment, including the purchase price, energy consumption, operation parameters, maintenance cost, energy utilization rate and service life of the thermal power generation rotating auxiliary equipment;

[0007] Data analysis module for:

[0008] Use the cost-effectiveness model to quantify the cost and efficiency of the acquired operation and cost data, and understand the actual operation of the rotating auxiliary equipment of thermal power generation through the quantitative comparison results;

[0009] Results analysis module for:

[0010] By analyzing and predicting the quantitative comparison results of cost and efficiency, support can be provided for maintenance decision-making;

[0011] Human-computer interaction module for:

[0012] Visualize operation and cost data and quantitative comparison results.

[0013] Furthermore, the device data acquisition module includes:

[0014] Interface setting module, used for:

[0015] Set up data interfaces according to the rotating auxiliary equipment of thermal power generation, including data collection protocols, formats and sampling points;

[0016] Data acquisition module for:

[0017] Collect data records of thermal power generation rotating auxiliary equipment and obtain operation and cost data of thermal power generation rotating auxiliary equipment;

[0018] Data transmission module for:

[0019] Transmit the acquired operation and cost data to the data analysis module;

[0020] Data storage module for:

[0021] The acquired operation and cost data are stored, and data query function is provided.

[0022] Furthermore, the data acquisition module includes:

[0023] Data collection strategy module for:

[0024] Before collecting data, formulate data collection strategies based on the usage and operating environment of the rotating auxiliary equipment of thermal power generation, including the time, method and frequency of data collection;

[0025] Data quality check module for:

[0026] Conduct quality checks on the collected operation and cost data, including checks on the completeness, accuracy and consistency of the operation and cost data;

[0027] Data processing module for:

[0028] Process the operation and cost data after quality inspection, including data cleaning and denoising.

[0029] Furthermore, the data analysis module includes:

[0030] Data partitioning module, used to:

[0031] Divide the acquired operation and cost data into training sets and test sets;

[0032] The training set is used to train the cost-effectiveness model, and the test set is used to evaluate and optimize the cost-effectiveness model;

[0033] Model building modules for:

[0034] Based on operational and cost data, select appropriate cost-effectiveness models, including linear regression, random forest, or neural network;

[0035] Then use the training set and test set to train and test the established cost-effectiveness model;

[0036] Model application module for:

[0037] Apply the trained and tested cost-effectiveness model to the actual cost-effectiveness evaluation of rotating auxiliary equipment in thermal power generation;

[0038] Substitute the new operation and cost data into the cost-effectiveness model, calculate the cost-effectiveness ratio, and obtain the quantitative comparison results of cost and efficiency;

[0039] The actual operation status of rotating auxiliary equipment in thermal power generation can be understood through quantitative comparison results.

[0040] Furthermore, the model building module specifically performs the following process:

[0041] Build cost-effectiveness models based on operation and cost data;

[0042] Use the training set to train the cost-effectiveness model;

[0043] In the process of cost-effectiveness model training, the generalization ability of the model is improved through cross-validation technology;

[0044] The cost-effectiveness model is evaluated using the test set. The evaluation indicators include accuracy, precision, recall, and F1 score.

[0045] If the model performs poorly, adjust the structure or parameters of the cost-effectiveness model to optimize the cost-effectiveness model.

[0046] Furthermore, the model building module includes:

[0047] Model updating module, used to:

[0048] Regularly update the application's cost-effectiveness model to ensure its accuracy and completeness, and deploy the updated cost-effectiveness model to actual applications.

[0049] Furthermore, the model application module includes:

[0050] Result storage module, used for:

[0051] The obtained quantitative comparison results are stored and a result query function is provided.

[0052] Furthermore, the result analysis module includes:

[0053] Maintenance plan assessment module for:

[0054] Compare the costs of various maintenance plans through the quantitative comparison results of costs and efficiency, and determine the maintenance plan with the highest cost-effectiveness;

[0055] Assess potential risks module for:

[0056] Identify and evaluate potential risks through quantitative comparison of costs and efficiency and evaluation of maintenance plans;

[0057] Maintenance strategy development module for:

[0058] Formulate preventive maintenance strategies based on the quantitative comparison of costs and effectiveness;

[0059] Real-time monitoring equipment module for:

[0060] The actual operation of the rotating auxiliary equipment of thermal power generation can be understood through the quantitative comparison results of cost and efficiency, and the status of the rotating auxiliary equipment of thermal power generation can be monitored in real time.

[0061] Furthermore, the maintenance plan evaluation module calculates the cost value of each maintenance plan based on the quantitative comparison results of cost and efficiency, and finds the maintenance plan with the highest cost-effectiveness by comparing the cost value of each maintenance plan.

[0062] Furthermore, the human-computer interaction module is used to:

[0063] Data display module, used for:

[0064] Use charts and tables to visualize the operation and cost data and quantitative comparison results;

[0065] Data filtering module for:

[0066] Provides filtering function to select specific operation and cost data or quantitative comparison results for viewing according to filtering conditions;

[0067] Data export module for:

[0068] Provides export function and sets export restrictions, limiting the export quantity and file size.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The equipment data acquisition module of the present invention can obtain the operation and cost data of the equipment by setting up a data acquisition interface. Based on the obtained operation and cost data, the data analysis module calculates the quantitative comparison of the cost and efficiency of the auxiliary equipment by establishing a cost-effectiveness model, so that the actual operation of the thermal power generation rotating auxiliary equipment can be understood through the quantitative comparison results, thereby realizing real-time monitoring of the status of the thermal power generation rotating auxiliary equipment. The costs of various maintenance plans can be compared through the quantitative comparison results of costs and efficiency, and then the maintenance plan with the highest cost-effectiveness can be determined. In addition, the quantitative comparison results can be used to identify and evaluate potential risks and formulate preventive maintenance strategies. The operation and cost data and the quantitative comparison results can be visualized through the human-computer interaction module, so as to intuitively understand and grasp the status and maintenance plan of the auxiliary equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a structural schematic diagram of the maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment of the present invention. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] In order to solve the technical problems that the failure of existing thermal power generation rotating auxiliary equipment is difficult to predict, the maintenance cost is high, and once a failure occurs, it often causes great economic losses, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0074] A maintenance-oriented cost-effectiveness evaluation system for the entire life cycle of thermal power generation rotating auxiliary equipment, including:

[0075] Equipment data acquisition module, used for:

[0076] Set up a data collection interface to collect data records of thermal power generation rotating auxiliary equipment, and then obtain the operation and cost data of the equipment, including the purchase price, energy consumption, operation parameters, maintenance cost, energy utilization rate and service life of the thermal power generation rotating auxiliary equipment;

[0077] Data analysis module for:

[0078] Use the cost-effectiveness model to quantify the cost and efficiency of the acquired operation and cost data, and understand the actual operation of the rotating auxiliary equipment of thermal power generation through the quantitative comparison results;

[0079] Results analysis module for:

[0080] By analyzing and predicting the quantitative comparison results of cost and efficiency, support can be provided for maintenance decision-making;

[0081] Human-computer interaction module for:

[0082] Visualize operation and cost data and quantitative comparison results.

[0083] The technical effect of the above content is: the equipment data acquisition module can obtain the operation and cost data of the equipment by setting up the data acquisition interface. When designing the data acquisition interface, it should be standardized as much as possible so that the same data can be obtained. At the same time, some recognized industry standards or specifications (such as API design guidelines) should be followed to ensure the readability and maintainability of the interface. Based on the acquired operation and cost data, the data analysis module calculates the quantitative comparison of the cost and efficiency of the auxiliary equipment by establishing a cost-effectiveness model, so that the actual operation of the thermal power generation rotating auxiliary equipment can be understood through the quantitative comparison results, so as to realize the real-time monitoring of the status of the thermal power generation rotating auxiliary equipment. The cost of each maintenance plan can be compared through the quantitative comparison results of the cost and efficiency, and then the maintenance plan with the highest cost-effectiveness can be determined. In addition, the quantitative comparison results can be used to identify and evaluate potential risks and formulate preventive maintenance strategies. The quantitative comparison results can help to intuitively understand the actual operation status of the auxiliary equipment so as to make better maintenance and management decisions, and the operation and cost data and the quantitative comparison results can be visualized through the human-computer interaction module so as to intuitively understand and master the status and maintenance plan of the auxiliary equipment.

[0084] Equipment data acquisition module, including:

[0085] Interface setting module, used for:

[0086] Set up data interfaces according to the rotating auxiliary equipment of thermal power generation, including data collection protocols, formats and sampling points;

[0087] Data acquisition module for:

[0088] Collect data records of thermal power generation rotating auxiliary equipment and obtain operation and cost data of thermal power generation rotating auxiliary equipment;

[0089] Data transmission module for:

[0090] Transmit the acquired operation and cost data to the data analysis module;

[0091] Data storage module for:

[0092] The acquired operation and cost data are stored, and data query function is provided.

[0093] The technical effect of the above content is: the interface setting module mainly sets the data collection interface according to the characteristics of the rotating auxiliary equipment of thermal power generation, including the data collection protocol, format and sampling points, etc. This allows the data collection module to accurately collect useful information according to the set rules and methods. The data collection module is responsible for performing the actual equipment data collection work, including obtaining the operation and cost data of the rotating auxiliary equipment of thermal power generation. The data transmission module is mainly responsible for transmitting the obtained operation and cost data to the data analysis module. The data transmission can be realized through network communication. The data storage module is responsible for persisting and saving the received data and providing data query function, thereby ensuring the reliability and accessibility of the data.

[0094] Data acquisition module, including:

[0095] Data collection strategy module for:

[0096] Before collecting data, formulate a data collection strategy based on the usage and operating environment of the rotating auxiliary equipment of thermal power generation, including the time, method and frequency of data collection;

[0097] Data quality check module for:

[0098] Conduct quality checks on the collected operation and cost data, including checks on the completeness, accuracy and consistency of the operation and cost data;

[0099] Data processing module for:

[0100] Process the operation and cost data after quality inspection, including data cleaning and denoising.

[0101] The technical effects of the above content are as follows: the data collection strategy module can determine the data items and frequency that need to be collected according to the usage and historical data of the rotating auxiliary equipment of thermal power generation, determine the time and method of data collection according to the operating environment and actual needs of the equipment, and set the priority and threshold of data collection according to the actual situation of the equipment and the importance of the data. Taking the above factors into consideration, a data collection strategy can be formulated, including the time, method and frequency of data collection, to ensure that the required operation and cost data can be collected continuously and stably. The data quality inspection module can check the integrity, accuracy, consistency and other aspects of the collected data to determine whether the data is qualified. If it is unqualified, an error message is returned and relevant personnel are notified to handle it in time to re-collect the data. If the data is qualified, the data processing module performs data cleaning and denoising. Through data cleaning and denoising, the quality and reliability of the operation and cost data can be improved so that the operation and cost data can be analyzed and used.

[0102] Data analysis modules, including:

[0103] Data partitioning module, used to:

[0104] Divide the acquired operation and cost data into training sets and test sets;

[0105] The training set is used to train the cost-effectiveness model, and the test set is used to evaluate and optimize the cost-effectiveness model;

[0106] Model building modules for:

[0107] Based on operational and cost data, select appropriate cost-effectiveness models, including linear regression, random forest, or neural network;

[0108] Then use the training set and test set to train and test the established cost-effectiveness model;

[0109] Model application module for:

[0110] Apply the trained and tested cost-effectiveness model to the actual cost-effectiveness evaluation of rotating auxiliary equipment in thermal power generation;

[0111] Substitute the new operation and cost data into the cost-effectiveness model, calculate the cost-effectiveness ratio, and obtain the quantitative comparison results of cost and efficiency;

[0112] The actual operation status of rotating auxiliary equipment in thermal power generation can be understood through quantitative comparison results.

[0113] Among them, the model building module specifically performs the following processes:

[0114] Build cost-effectiveness models based on operation and cost data;

[0115] Use the training set to train the cost-effectiveness model;

[0116] In the process of cost-effectiveness model training, the generalization ability of the model is improved through cross-validation technology;

[0117] The cost-effectiveness model is evaluated using the test set. The evaluation indicators include accuracy, precision, recall, and F1 score.

[0118] If the model performs poorly, adjust the structure or parameters of the cost-effectiveness model to optimize the cost-effectiveness model.

[0119] The technical effect of the above content is: the data partitioning module can divide the operation and cost data into two groups, namely the training set and the test set, for subsequent model training and testing. The model building module can select a suitable cost-effectiveness model (such as linear regression or random forest or neural network) according to the operation and cost data, and extract feature and label information according to the operation and cost data, and convert it into input and output formats suitable for the selected cost-effectiveness model. According to the type of cost-effectiveness model selected, the corresponding model structure and parameters are selected and initialized. The training set is used for model training, and the cost-effectiveness model performance is recorded during the training process. After the training, the cost-effectiveness is tested using the test set. The cost-effectiveness ratio model is evaluated and the model structure and parameters are adjusted according to the evaluation results to improve the generalization ability and accuracy of the cost-effectiveness ratio model. The model application module applies the trained and tested cost-effectiveness ratio model to practice, and collects new operation and cost data according to actual conditions. The new operation and cost data are used as input and the cost-effectiveness ratio model is used as output. The cost-effectiveness ratio is predicted using the cost-effectiveness ratio model to calculate the cost-effectiveness ratio, thereby obtaining a quantitative comparison result of cost and efficiency. Based on the quantitative comparison result of cost and efficiency, it can provide important basis and support for maintenance decision-making, so as to better manage and maintain the rotating auxiliary equipment of thermal power generation, thereby improving the economic benefits and production efficiency of thermal power plants.

[0120] Model building modules, including:

[0121] Model updating module, used to:

[0122] Regularly update the application's cost-effectiveness model to ensure its accuracy and completeness, and deploy the updated cost-effectiveness model to actual applications.

[0123] Model application module, including:

[0124] Result storage module, used for:

[0125] The obtained quantitative comparison results are stored and a result query function is provided.

[0126] The technical effect of the above content is: the model update module collects the latest data and information, and after obtaining the latest data and information, optimizes and improves the existing cost-effectiveness model to improve the accuracy and completeness of the model, thereby ensuring that the model can correctly predict and compare the costs and benefits of different applications. After completing the optimization and improvement of the model, the updated model is deployed to actual applications so that users can use the latest model to evaluate the costs and benefits of different applications. The quantitative comparison results are stored through the result storage module, and a result query function is provided, which can search for quantitative comparison results according to actual needs, thereby facilitating the query of different quantitative comparison results.

[0127] Result analysis module, including:

[0128] Maintenance plan assessment module for:

[0129] Compare the costs of various maintenance plans through the quantitative comparison results of costs and efficiency, and determine the maintenance plan with the highest cost-effectiveness;

[0130] Assess potential risks module for:

[0131] Identify and evaluate potential risks through quantitative comparison of costs and efficiency and evaluation of maintenance plans;

[0132] Maintenance strategy development module for:

[0133] Formulate preventive maintenance strategies based on the quantitative comparison of costs and effectiveness;

[0134] Real-time monitoring equipment module for:

[0135] The actual operation of the rotating auxiliary equipment of thermal power generation can be understood through the quantitative comparison results of cost and efficiency, and the status of the rotating auxiliary equipment of thermal power generation can be monitored in real time.

[0136] Among them, the maintenance plan evaluation module calculates the cost value of each maintenance plan based on the quantitative comparison results of cost and efficiency, and finds the maintenance plan with the highest cost-effectiveness by comparing the cost value of each maintenance plan.

[0137] The technical effects of the above contents are as follows: the main task of the maintenance plan evaluation module is to compare the costs of various maintenance plans through quantitative comparison of costs and efficiency, so as to find the one with the highest cost performance, in order to ensure the maximum utilization of resources, so as to achieve the purpose of reducing the cost of thermal power plants; the main task of the potential risk assessment module is to identify and evaluate potential risks through the quantitative comparison results of costs and efficiency, as well as the results of maintenance plan evaluation, in order to avoid risks as much as possible during the maintenance process and ensure the safe and stable operation of the equipment; the main task of the maintenance strategy formulation module is to formulate an effective preventive maintenance strategy based on the quantitative comparison results of costs and efficiency, in order to be able to perform maintenance in time when equipment has problems and avoid the expansion of problems; the main task of the real-time monitoring module is to monitor the status of the equipment in real time through the quantitative comparison results of costs and efficiency, in order to be able to detect any problems in time during the operation of the equipment and deal with them to avoid the expansion of problems; the above four modules complement each other, which can not only provide thermal power plants with more comprehensive and accurate decision-making basis, but also save a lot of resources and time for thermal power plants, and improve the efficiency and economic benefits of thermal power plants.

[0138] Human-computer interaction module for:

[0139] Data display module, used for:

[0140] Use charts and tables to visualize the operation and cost data and quantitative comparison results;

[0141] Data filtering module for:

[0142] Provides filtering function to select specific operation and cost data or quantitative comparison results for viewing according to filtering conditions;

[0143] Data export module for:

[0144] Provides export function and sets export restrictions, limiting the export quantity and file size.

[0145] The technical effect of the above content is: the data display module is mainly responsible for displaying the operation and cost data and quantitative comparison results in the form of charts and tables. The selection and use of charts and tables should be based on different data types and display purposes. For example, for the comparison of cost and efficiency, you can choose to use a bar chart or line chart to show the change in cost, or use a pie chart to show the proportional relationship between cost and efficiency. The data screening module can provide a screening function to filter out specific operation and cost data or quantitative comparison results as needed, thereby greatly improving the time for searching and analyzing data and improving work efficiency. The data export module is used to provide export functions, which can export data to Excel, PDF or other formats. The export settings can limit the number of exports and the file size, thereby preventing users from over-consuming system resources.

[0146] Working principle: The equipment data acquisition module can obtain the operation and cost data of the equipment by setting up the data acquisition interface. Based on the acquired operation and cost data, the data analysis module calculates the quantitative comparison of the cost and efficiency of the auxiliary equipment by establishing a cost-effectiveness model, so that the actual operation of the thermal power generation rotating auxiliary equipment can be understood through the quantitative comparison results, thereby realizing real-time monitoring of the status of the thermal power generation rotating auxiliary equipment. It can also compare the costs of various maintenance plans through the quantitative comparison results of costs and efficiency, and then determine the maintenance plan with the highest cost-effectiveness to ensure the maximum utilization of resources. In addition, it can also identify and evaluate potential risks and formulate preventive maintenance strategies through quantitative comparison results, which can ensure the safe and stable operation of the thermal power generation rotating auxiliary equipment. The operation and cost data and quantitative comparison results can be visualized through the human-computer interaction module, and data screening and export functions are provided to intuitively understand and master the status and maintenance plan of the auxiliary equipment.

[0147] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0148] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A maintenance-oriented cost-effectiveness evaluation system for the entire life cycle of thermal power generation rotating auxiliary equipment, characterized in that: include: Equipment data acquisition module, used for: Set up a data collection interface to collect data records of thermal power generation rotating auxiliary equipment and obtain equipment operation and cost data, including purchase price, energy consumption, operation parameters, maintenance cost, energy utilization rate and service life of thermal power generation rotating auxiliary equipment; Data analysis module for: Use the cost-effectiveness model to quantify the cost and efficiency of the acquired operation and cost data, and understand the actual operation of the rotating auxiliary equipment of thermal power generation through the quantitative comparison results; Results analysis module for: By analyzing and predicting the quantitative comparison results of cost and efficiency, support can be provided for maintenance decision-making; Human-computer interaction module for: Visualize operation and cost data and quantitative comparison results.

2. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 1 is characterized by: The equipment data acquisition module comprises: Interface setting module, used for: Set up data interfaces according to the rotating auxiliary equipment of thermal power generation, including data collection protocols, formats and sampling points; Data acquisition module for: Collect data records of thermal power generation rotating auxiliary equipment and obtain operation and cost data of thermal power generation rotating auxiliary equipment; Data transmission module for: Transmit the acquired operation and cost data to the data analysis module; Data storage module for: The acquired operation and cost data are stored, and data query function is provided.

3. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 2 is characterized by: The data acquisition module comprises: Data collection strategy module for: Before collecting data, formulate data collection strategies based on the usage and operating environment of the rotating auxiliary equipment of thermal power generation, including the time, method and frequency of data collection; Data quality check module for: Conduct quality checks on the collected operation and cost data, including checks on the completeness, accuracy and consistency of the operation and cost data; Data processing module for: Process the operation and cost data after quality inspection, including data cleaning and denoising.

4. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 1 is characterized by: The data analysis module comprises: Data partitioning module, used to: Divide the acquired operation and cost data into training sets and test sets; The training set is used to train the cost-effectiveness model, and the test set is used to evaluate and optimize the cost-effectiveness model; Model building modules for: Based on operational and cost data, select appropriate cost-effectiveness models, including linear regression, random forest, or neural network; Then use the training set and test set to train and test the established cost-effectiveness model; Model application module for: Apply the trained and tested cost-effectiveness model to the actual cost-effectiveness evaluation of rotating auxiliary equipment in thermal power generation; Substitute the new operation and cost data into the cost-effectiveness model, calculate the cost-effectiveness ratio, and obtain the quantitative comparison results of cost and efficiency; The actual operation status of rotating auxiliary equipment in thermal power generation can be understood through quantitative comparison results.

5. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 4 is characterized by: The model building module specifically performs the following process: Build cost-effectiveness models based on operation and cost data; Use the training set to train the cost-effectiveness model; In the process of cost-effectiveness model training, the generalization ability of the model is improved through cross-validation technology; The cost-effectiveness model is evaluated using the test set. The evaluation indicators include accuracy, precision, recall, and F1 score. If the model performs poorly, adjust the structure or parameters of the cost-effectiveness model to optimize the cost-effectiveness model.

6. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 5 is characterized by: The model building module comprises: Model updating module, used to: The cost-effectiveness model of the application is updated regularly to ensure its accuracy and completeness, and the updated cost-effectiveness model is deployed in actual applications.

7. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 5 is characterized by: The model application module includes: Result storage module, used for: The obtained quantitative comparison results are stored and a result query function is provided.

8. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 1 is characterized by: The result analysis module comprises: Maintenance plan assessment module for: Compare the costs of various maintenance plans through the quantitative comparison results of costs and efficiency, and determine the maintenance plan with the highest cost-effectiveness; Assess potential risks module for: Identify and evaluate potential risks through quantitative comparison of costs and efficiency and evaluation of maintenance plans; Maintenance strategy development module for: Formulate preventive maintenance strategies based on the quantitative comparison of costs and effectiveness; Real-time monitoring equipment module for: The actual operation of the rotating auxiliary equipment of thermal power generation can be understood through the quantitative comparison results of cost and efficiency, and the status of the rotating auxiliary equipment of thermal power generation can be monitored in real time.

9. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 8, characterized in that: The maintenance plan evaluation module calculates the cost value of each maintenance plan based on the quantitative comparison results of cost and efficiency, and finds the maintenance plan with the highest cost performance by comparing the cost values ​​of each maintenance plan.

10. The maintenance-oriented full life cycle cost-effectiveness evaluation system for thermal power generation rotating auxiliary equipment according to claim 1, characterized in that: The human-computer interaction module is used to: Data display module, used for: Use charts and tables to visualize the operation and cost data and quantitative comparison results; Data filtering module for: Provides filtering function to select specific operation and cost data or quantitative comparison results for viewing according to filtering conditions; Data export module for: Provides export function and sets export restrictions, limiting the export quantity and file size.

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