Power station operation and maintenance planning method, device, equipment, storage medium and product

Abstract

The application belongs to the technical field of power stations, and discloses a power station operation and maintenance planning method, device, equipment, storage medium and product. According to first long-term operation and maintenance planning information, corresponding real-time operation and maintenance information in a current time window is determined, the real-time operation and maintenance information and operation and maintenance information in a preset time period before the current time window are input into a long-term prediction model, second long-term operation and maintenance planning information corresponding to the current time window is obtained, and then the real-time operation and maintenance information and operation and maintenance information of a previous time window are input into a short-term prediction model of the current time window, short-term operation and maintenance planning information corresponding to the current time window is obtained and executed. According to the first long-term operation and maintenance planning information of the previous time window, the application can accurately and effectively obtain real-time operation and maintenance information of the current time window, then obtain second long-term operation and maintenance planning information through the long-term prediction model, and obtain short-term operation and maintenance planning information through the short-term prediction model, so that power station operation and maintenance planning is scientifically performed.

Description

Technical Field

[0001] This application relates to the field of power plant technology, and in particular to a power plant operation and maintenance planning method, apparatus, equipment, storage medium and product. Background Technology

[0002] Currently, new energy power plants are gradually adopting digitalization and intelligentization, with digitalized power plant operation and maintenance (O&M) being an indispensable part of this process. Digitalized O&M utilizes modern information technologies such as big data, cloud computing, artificial intelligence (AI), and the Internet of Things (IoT) to optimize the power plant's O&M process. This method aims to improve the power plant's operating efficiency, reduce costs, and minimize the need for manual intervention. One core module of digitalized O&M is the diagnosis, alarm, and early warning of abnormal phenomena in the power plant. Currently, digitalized O&M systems focus on providing users with O&M guidance for fragmented systems and equipment, lacking scientific rigor, systematic approach, and forward-looking guidance. Therefore, how to scientifically plan power plant O&M has become an urgent problem to be solved. Summary of the Invention

[0003] The main purpose of this application is to provide a power plant operation and maintenance planning method, device, equipment, storage medium and product, which aims to solve the technical problem of how to scientifically carry out power plant operation and maintenance planning.

[0004] To achieve the above objectives, this application provides a power plant operation and maintenance planning method, which includes the following steps:

[0005] Within the current time window, obtain the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window;

[0006] Based on the first long-term operation and maintenance planning information, determine the real-time operation and maintenance information corresponding to the current time window, input the real-time operation and maintenance information and the operation and maintenance information within the preset time period before the current time window into the long-term prediction model, and obtain the second long-term operation and maintenance planning information corresponding to the current time window.

[0007] Input real-time operation and maintenance information and operation and maintenance information from the previous time window into the short-term prediction model for the current time window to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window.

[0008] The next time window of the current time window is taken as the new current time window, the second long-term operation and maintenance planning information is taken as the new first long-term operation and maintenance planning information, and the process is returned to the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

[0009] Optionally, the step of determining the real-time operation and maintenance information corresponding to the current time window based on long-term operation and maintenance planning information specifically includes:

[0010] Obtain the current operation and maintenance plan information corresponding to the current time window from the first long-term operation and maintenance plan information;

[0011] Determine the current maintenance type and / or current maintenance period based on the current maintenance planning information;

[0012] Get real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period in the current time window.

[0013] Optionally, the step of obtaining real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period within the current time window specifically includes:

[0014] Obtain the actual maintenance type and actual maintenance period in the current time window, and treat the maintenance information corresponding to the actual maintenance type and the maintenance information corresponding to the actual maintenance period as unplanned maintenance information;

[0015] Obtain the maintenance information within the current time window that is of the same type as the current maintenance and whose maintenance period overlaps with the current maintenance period as the planned maintenance information;

[0016] Unplanned and planned maintenance information will be treated as real-time maintenance information.

[0017] Optionally, the step of inputting real-time operation and maintenance information and the operation and maintenance information of the previous time window into the short-term prediction model of the current time window to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window specifically includes:

[0018] Determine the real-time operation and maintenance type corresponding to the real-time operation and maintenance information;

[0019] Select the target maintenance information corresponding to the real-time maintenance type from the maintenance information of the previous time window;

[0020] Select the target short-term prediction model corresponding to the real-time operation and maintenance type from the short-term prediction models of the current time window;

[0021] Input real-time operation and maintenance information and target operation and maintenance information into the target short-term prediction model to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window.

[0022] Optionally, before the step of determining the real-time operation and maintenance information corresponding to the current time window based on the long-term operation and maintenance planning information, and inputting the real-time operation and maintenance information and the operation and maintenance information within a preset time period before the current time window into the long-term prediction model to obtain the long-term operation and maintenance planning information corresponding to the current time window, the method further includes:

[0023] Based on the preset power plant profile, the power plant operation and maintenance modules are classified into stages to obtain the operation and maintenance data corresponding to the classified operation and maintenance modules.

[0024] The long-term prediction model for the previous time window is trained based on the operation and maintenance data to obtain the long-term prediction model for the current time window.

[0025] Optionally, before the step of classifying the power plant operation and maintenance modules according to a preset power plant profile and obtaining the operation and maintenance data corresponding to the classified operation and maintenance modules, the method further includes:

[0026] Extract quantitative and qualitative data from power plant operation and maintenance system information and power generation-related factors within a preset time period prior to the current time window;

[0027] Quantitative and qualitative data are preprocessed separately to obtain processed power plant data;

[0028] Feature extraction is performed on the processed power plant data to obtain power plant features;

[0029] A pre-defined power station profile is constructed based on power station operation and maintenance system information, power generation-related factors, and power station characteristics.

[0030] Furthermore, to achieve the above objectives, this application also provides a power plant operation and maintenance planning device, the power plant operation and maintenance planning device comprising:

[0031] The information acquisition module is used to acquire the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window;

[0032] The long-term operation and maintenance planning module is used to determine the real-time operation and maintenance information corresponding to the current time window based on the first long-term operation and maintenance planning information. The real-time operation and maintenance information and the first operation and maintenance information within the preset time period before the current time window are input into the preset long-term prediction model to obtain the second long-term operation and maintenance planning information corresponding to the current time window.

[0033] The short-term operation and maintenance planning module is used to input real-time operation and maintenance information and the second operation and maintenance information of the previous time window into the preset short-term prediction model of the current time window, obtain the short-term operation and maintenance planning information corresponding to the current time window, and execute it.

[0034] The power plant operation and maintenance planning module is used to take the next time window of the current time window as the new current time window, take the second long-term operation and maintenance planning information as the new first long-term operation and maintenance planning information, and return to execute the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

[0035] In addition, to achieve the above objectives, this application also proposes a power plant operation and maintenance planning device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the power plant operation and maintenance planning method described above.

[0036] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the power plant operation and maintenance planning method described above.

[0037] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the power plant operation and maintenance planning method described above.

[0038] This application obtains the first long-term operation and maintenance (O&M) planning information of the power plant corresponding to the previous time window within the current time window. Then, based on the first long-term O&M planning information, it determines the corresponding real-time O&M information for the current time window. The real-time O&M information and the O&M information from a preset time period prior to the current time window are input into a long-term prediction model to obtain the second long-term O&M planning information corresponding to the current time window. The real-time O&M information and the O&M information from the previous time window are then input into a short-term prediction model for the current time window to obtain and execute the corresponding short-term O&M planning information. The next time window is then used as the new current time window, and the second long-term O&M planning information is used as the new first long-term O&M planning information. The process then returns to the previous step of obtaining the first long-term O&M planning information of the power plant corresponding to the previous time window within the current time window. This application can accurately and effectively obtain the real-time O&M information for the current time window based on the first long-term O&M planning information from the previous time window, then obtain the second long-term O&M planning information through the long-term prediction model, and finally obtain the short-term O&M planning information through the short-term prediction model, thereby enabling scientific power plant O&M planning. Attached Figure Description

[0039] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating the first embodiment of the power plant operation and maintenance planning method of this application;

[0042] Figure 2 This is a schematic diagram illustrating long-term operation and maintenance planning information corresponding to a time window of September 1, 2024 to September 30, 2024, as an embodiment of the power plant operation and maintenance planning method of this application.

[0043] Figure 3 This is a schematic diagram of short-term operation and maintenance planning information corresponding to time windows of different lengths in an embodiment of the power plant operation and maintenance planning method of this application.

[0044] Figure 4 This is a flowchart illustrating the second embodiment of the power plant operation and maintenance planning method of this application;

[0045] Figure 5 This is a structural block diagram of the first embodiment of the power plant operation and maintenance planning device of this application;

[0046] Figure 6 This is a schematic diagram of the structure of the power plant operation and maintenance planning equipment in the hardware operating environment involved in the embodiments of this application.

[0047] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0048] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0049] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0050] It should be noted that the executing entity of this application can be a computing service device with data processing, network communication, and program execution functions, such as a computer, or an electronic device or power plant operation and maintenance planning device capable of performing the above functions. The following description uses a power plant operation and maintenance planning device as an example to illustrate this embodiment and the subsequent embodiments.

[0051] Based on this, the embodiments of this application provide a power plant operation and maintenance planning method, referring to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the power plant operation and maintenance planning method of this application.

[0052] In this embodiment, the power plant operation and maintenance planning method includes the following steps:

[0053] Step S10: In the current time window, obtain the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window.

[0054] Understandably, time windows can be in units of months, weeks, etc. The current time window refers to the time window that is currently in progress. For example, if the time window is in units of months, and today is January 20, 2025, then the current time window could be from January 1 to January 31, 2025. The previous time window can be the window immediately preceding the current one. For example, if the current time window is from January 1 to January 31, 2025, the previous time window could be from December 1 to December 31, 2024.

[0055] In practice, the operation and maintenance planning of a power plant can include long-term operation and maintenance planning and short-term operation and maintenance planning. For example, long-term operation and maintenance planning can be based on years, such as the operation and maintenance planning for the whole year from October 1, 2024 to October 1, 2025. Short-term operation and maintenance planning can be based on months, such as the operation and maintenance planning for the month from January 1 to January 31, 2025. In this embodiment, the first long-term operation and maintenance planning information for the previous time window refers to the operation and maintenance planning information for the previous time window in the long-term operation and maintenance planning. For example, if the previous time window is December 1-31, 2024, the operation and maintenance plan for the entire year from January 1, 2025 to December 31, 2025 can be obtained, which is the first long-term operation and maintenance planning information. It can include all operation and maintenance types and operation and maintenance periods within this year. For example, if the operation and maintenance period is January 14, 2025 to February 10, 2025, the operation and maintenance type is snow removal warning; if the operation and maintenance period is April 6, 2025 to June 8, 2025, the operation and maintenance type is weeding warning.

[0056] Step S20: Determine the real-time operation and maintenance information corresponding to the current time window based on the first long-term operation and maintenance planning information, and input the real-time operation and maintenance information and the operation and maintenance information within the preset time period before the current time window into the long-term prediction model to obtain the second long-term operation and maintenance planning information corresponding to the current time window.

[0057] It should be understood that the real-time operation and maintenance information corresponding to the current time window may include the operation and maintenance information before the current moment and the operation and maintenance information of the previous time window. For example, the current time window may be January 1-31, 2025, and the current moment is 8:00 AM on January 20, 2025. Then the real-time operation and maintenance information may include the actual operation and maintenance information between December 1-31, 2024 and January 1-20, 2025, i.e., the actual operation and maintenance information between December 1, 2024 and January 20, 2025, at 8:00 AM.

[0058] Understandably, a long-term prediction model refers to a pre-trained predictive model for long-term operations and maintenance planning. This model can be based on time series analysis (ARIMA), regression analysis (linear regression), machine learning algorithms (random forest, support vector machine), etc. The preset time period can be the previous year. Real-time operations and maintenance information, along with operations and maintenance information from the year preceding the current time window, are input into the long-term prediction model to obtain long-term operations and maintenance planning information corresponding to the current time window.

[0059] In the specific implementation, refer to Figure 2 , Figure 2 This diagram illustrates long-term operation and maintenance planning information for a time window from September 1, 2024 to September 30, 2024, as an embodiment of the power plant operation and maintenance planning method of this application. Figure 2 As shown, if the time window is September 1, 2024 - September 30, 2024, then the corresponding long-term operation and maintenance planning information for this time window covers the period from October 1, 2024 to October 1, 2025. Within this timeframe, there are multiple types of operation and maintenance work. For example, from January 14, 2025 to February 10, 2025, there will be a snow removal failure in District XX, requiring X man-days. Here, "January 14, 2025 - February 10, 2025" represents the operation and maintenance period, and "snow removal failure" is the operation and maintenance type. Similarly, from April 6, 2025 to June 8, 2025, there will be a weeding failure in District XX, requiring X man-days. Here, "April 6, 2025 - June 8, 2025" represents the operation and maintenance period, and "weeding failure" is the operation and maintenance type. From June 14, 2025 to July 16, 2025, there will be station-side flood prevention early warning, where "2..." The maintenance period is from June 14, 2025 to July 16, 2025, and the maintenance type is "station-side flood prevention early warning"; From July 4, 2025 to August 5, 2025, there is an early warning for cleaning the XX inverter fan, requiring X man-days. The maintenance period is from July 4, 2025 to August 5, 2025, and the maintenance type is "inverter fan cleaning early warning"; On [Date], a cleaning component warning will be issued for [District Name], requiring [Number] manpower days. The maintenance period is from July 4th to August 5th, 2025, and the maintenance type is "cleaning component warning." On August 13th to September 14th, 2025, a reed removal warning will be issued for [District Name], requiring [Number] manpower days. The maintenance period is from August 13th to September 14th, 2025, and the maintenance type is "reed removal warning."

[0060] Furthermore, in order to accurately obtain real-time operation and maintenance information, in this embodiment, the step of determining the real-time operation and maintenance information corresponding to the current time window based on the long-term operation and maintenance planning information specifically includes: obtaining the current operation and maintenance planning information corresponding to the current time window from the first long-term operation and maintenance planning information; determining the current operation and maintenance type and the current operation and maintenance period based on the current operation and maintenance planning information, and obtaining the real-time operation and maintenance information corresponding to the current operation and maintenance type and the current operation and maintenance period in the current time window; determining the current operation and maintenance type based on the current operation and maintenance planning information, and obtaining the real-time operation and maintenance information corresponding to the current operation and maintenance type in the current time window; determining the current operation and maintenance period based on the current operation and maintenance planning information, and obtaining the real-time operation and maintenance information corresponding to the current operation and maintenance period in the current time window.

[0061] It should be understood that the current operation and maintenance planning information refers to the operation and maintenance planning information corresponding to the current time window in the first long-term operation and maintenance planning information. The current operation and maintenance planning information may include the current operation and maintenance type and the current operation and maintenance period, or the current operation and maintenance type or the current operation and maintenance period. The current operation and maintenance type refers to the operation and maintenance type that needs to be processed in the current time window, which can be obtained from the first long-term operation and maintenance planning information. The current operation and maintenance period refers to the operation and maintenance period that overlaps with the current time window in terms of time range. The duration of the current operation and maintenance period may be less than, equal to or greater than the duration of the current time window.

[0062] In specific implementations, the operation and maintenance information corresponding to the current operation and maintenance type and the current operation and maintenance period can be used as real-time operation and maintenance information, or the operation and maintenance information corresponding to the current operation and maintenance type can be used as real-time operation and maintenance information, or the operation and maintenance information corresponding to the current operation and maintenance period can be used as real-time operation and maintenance information. Alternatively, a portion of the operation and maintenance information corresponding to the operation and maintenance type and a portion of the operation and maintenance period corresponding to the operation and maintenance period in the previous time period can be selected as real-time operation and maintenance information. For example, the current time window is January 1st to January 31st, 2025, the current time is 8:00 AM on January 20th, 2025, and the current operation and maintenance planning information is snow removal failure in District XX from January 14th to February 10th, 2025, with X man-days. Here, "January 14th to January 20th, 2025" is the current operation and maintenance period, and "snow removal failure" is the current operation and maintenance type. Ultimately, the operation and maintenance information corresponding to January 14th to January 20th, 2025 and the operation and maintenance information corresponding to the snow removal failure can be used as real-time operation and maintenance information, or the operation and maintenance information corresponding to January 14th to January 20th, 2025 can be used as real-time operation and maintenance information, or the operation and maintenance information corresponding to the snow removal failure can be used as real-time operation and maintenance information.

[0063] Furthermore, in order to accurately obtain real-time operation and maintenance information, in this embodiment, the step of obtaining real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period in the current time window specifically includes: obtaining the actual operation and maintenance type and the actual operation and maintenance period in the current time window, and taking the operation and maintenance information corresponding to the actual operation and maintenance type and the operation and maintenance information corresponding to the actual operation and maintenance period as unplanned operation and maintenance information; obtaining the operation and maintenance information in the current time window that is the same as the current operation and maintenance type and whose operation and maintenance period overlaps with the current operation and maintenance period as planned operation and maintenance information; and taking the unplanned operation and maintenance information and the planned operation and maintenance information as real-time operation and maintenance information.

[0064] Understandably, the actual operation and maintenance type refers to the type of operation and maintenance work actually performed, the actual operation and maintenance period refers to the period during which the actual operation and maintenance work was performed, the current operation and maintenance type refers to the type of operation and maintenance work in the first long-term operation and maintenance planning information, and the current operation and maintenance period refers to the period during which the actual operation and maintenance work was performed. The actual operation and maintenance type and the current operation and maintenance type are different types of operation and maintenance work, and the actual operation and maintenance period and the current operation and maintenance period are different periods of operation and maintenance work. The current time window may already contain actual maintenance types and periods under real-world conditions. That is, maintenance types and periods that have occurred before the current moment within the current time window. Maintenance information corresponding to actual maintenance types that are different from the current maintenance type and maintenance periods that are different from the current maintenance period can be considered as unplanned maintenance information. For example, if "January 14, 2025 - January 20, 2025" is the current maintenance period and "snow removal fault" is the current maintenance type, and if the actual maintenance type corresponding to the current time window also includes cleaning component warnings, the maintenance information corresponding to cleaning component warnings can be considered as unplanned maintenance information. If the actual maintenance period corresponding to the current time window also includes January 1, 2025 - January 5, 2025, the maintenance information corresponding to the maintenance period of January 1, 2025 - January 5, 2025 can be considered as unplanned maintenance information.

[0065] It should be understood that the current maintenance type and current maintenance period are included in the long-term maintenance planning information of the previous time window. Specifically, within the current time window, maintenance information with the same maintenance type and overlapping maintenance period can be obtained before the current moment and considered as planned maintenance information. For example, if "January 14, 2025 - January 20, 2025" is the current maintenance period and "snow removal fault" is the current maintenance type, the maintenance information corresponding to the snow removal fault in the current time window can be considered as planned maintenance information. If the actual maintenance period in the current time window is January 16, 2025 - January 18, 2025, the maintenance information corresponding to January 16, 2025 - January 18, 2025 can be considered as planned maintenance information. Finally, both unplanned and planned maintenance information are combined to form real-time maintenance information. This embodiment can quickly determine the actual maintenance type and actual maintenance period in the current time window by using the current maintenance type and current maintenance period corresponding to the current time window in the first long-term maintenance planning information. The actual maintenance type and the current maintenance type may be partially the same, and the actual maintenance period and the current maintenance period may also have overlapping periods.

[0066] Step S30: Input the real-time operation and maintenance information and the operation and maintenance information of the previous time window into the short-term prediction model of the current time window to obtain the short-term operation and maintenance planning information corresponding to the current time window and execute it.

[0067] Understandably, a short-term prediction model refers to a pre-trained predictive model for short-term operations and maintenance planning. It can also be a model based on time series analysis (ARIMA), regression analysis (linear regression), or machine learning algorithms (random forest, support vector machine), etc. By inputting real-time operations and maintenance information and the operations and maintenance information from the previous time window into the short-term prediction model, the short-term operations and maintenance planning information corresponding to the current time window can be obtained. This allows for the generation and execution of short-term operations and maintenance planning information for the current time window after the current moment.

[0068] In its implementation, a fixed-length data window, the current time window, is selected in the sliding forecasting mechanism. This current time window continuously moves forward over time, updating the short-term forecasting model with each step. This ensures that the updated short-term forecasting model is always based on the most recent data, thus better capturing data trends. In other words, alerts closer to the current date are more accurate and refined, providing alerts for specific dates, specific equipment, and specific potential hazards, enabling detailed short-term maintenance planning information for the current time window. (Refer to...) Figure 3 , Figure 3 This is a schematic diagram illustrating short-term operation and maintenance planning information corresponding to time windows of different lengths in an embodiment of the power plant operation and maintenance planning method of this application, as shown below. Figure 3As shown, assuming a time window of one month, if the current time is any day between January 1, 2025 and February 1, 2025, then the current time window is from January 1, 2025 to February 1, 2025. The time range of the short-term operation and maintenance planning information corresponding to the current time window is from January 1, 2025 to February 1, 2025. Within this time range, there are various types of operation and maintenance work, such as severe weather warnings and low-temperature rain on January 11, 2025. The inspection and management of snow and ice disaster risks and hazards includes an operation and maintenance period on January 11, 2025, with "severe weather warning" as the operation and maintenance type; a snow clearing notice for XX group in XX district on January 16, 2025, requiring X manpower days, with "January 16, 2025" as the operation and maintenance period and "group snow clearing notice" as the operation and maintenance type; if the current time is any day between February 1, 2025 and March 1, 2025, then the current time window is 2025. The current time window for short-term operation and maintenance planning information covers the period from February 1, 2025 to March 1, 2025. Within this timeframe, various types of operation and maintenance work exist, such as a site inspection plan scheduled for February 12, 2025. Here, "February 12, 2025" represents the operation and maintenance period, and "site inspection plan" indicates the operation and maintenance type. If the current timeframe is from March 1, 2025 to April 1, 2025... If a certain day is specified, then the current time window is from March 1, 2025 to April 1, 2025. The time range of the short-term operation and maintenance planning information corresponding to the current time window is from March 1, 2025 to April 1, 2025. There are various types of operation and maintenance work within this time range. For example, on March 8, 2025, there is a warning for bird droppings cleaning in XX district, requiring X manpower days. Among them, "March 18, 2025" is the operation and maintenance period, and "bird droppings cleaning warning" is the operation and maintenance type.Assuming a 6-month time window, if the current date is any day between April 1, 2025 and October 1, 2025, then the current time window is from April 1, 2025 to October 1, 2025. The time range for the short-term operation and maintenance planning information corresponding to this time window is from April 1, 2025 to October 1, 2025. Within this time range, there are various types of operation and maintenance work. For example, from April 6, 2025 to June 8, 2025, there is a weeding warning for XX district, requiring X manpower days. Here, "April 6, 2025 to June 8, 2025" is the operation and maintenance period, and "weeding warning" is the operation and maintenance type. Another example is from June 14, 2025 to July 16, 2025, there is a station-side flood prevention warning. Here, "June 14, 2025 to July 16, 2025" is... The following are examples of maintenance periods: July 4, 2025 - August 5, 2025: Inverter fan cleaning warning for XX district, X man-days. "July 4, 2025 - August 5, 2025" is the maintenance period, and "Inverter fan cleaning warning" is the maintenance type. July 4, 2025 - August 5, 2025: Component cleaning warning for XX district, X man-days. "July 4, 2025 - August 5, 2025" is the maintenance period, and "Component cleaning warning" is the maintenance type. August 13, 2025 - September 14, 2025: Reed removal warning for XX district, X man-days. "August 13, 2025 - September 14, 2025" is the maintenance period, and "Reed removal warning" is the maintenance type.

[0069] Furthermore, in order to accurately obtain short-term operation and maintenance planning information, in this embodiment, step S30 includes: determining the real-time operation and maintenance type corresponding to the real-time operation and maintenance information; selecting the target operation and maintenance information corresponding to the real-time operation and maintenance type from the operation and maintenance information of the previous time window; selecting the target short-term prediction model corresponding to the real-time operation and maintenance type from the short-term prediction models of the current time window; inputting the real-time operation and maintenance information and the target operation and maintenance information into the target short-term prediction model to obtain the short-term operation and maintenance planning information corresponding to the current time window and executing it.

[0070] It should be understood that the real-time operation and maintenance type refers to the operation and maintenance type contained in the real-time operation and maintenance information. The target operation and maintenance information corresponding to the real-time operation and maintenance type can be selected from the operation and maintenance information of the previous time window. The target operation and maintenance information and the operation and maintenance type corresponding to the real-time operation and maintenance information are the same, which are both real-time operation and maintenance types.

[0071] It is understood that the short-term prediction model for the current time window in this embodiment may include multiple models, and one short-term prediction model may correspond to each type of operation and maintenance. Therefore, the target short-term prediction model corresponding to the real-time operation and maintenance type can be selected from all the short-term prediction models for the current time window. Then, the real-time operation and maintenance information and the target operation and maintenance information are input into the target short-term prediction model to obtain the short-term operation and maintenance planning information corresponding to the current time window and execute it.

[0072] Step S40: Take the next time window of the current time window as the new current time window, take the second long-term operation and maintenance planning information as the new first long-term operation and maintenance planning information, and return to the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

[0073] It should be understood that after all short-term operation and maintenance planning information corresponding to the current time window has been executed, the next time window can be taken as the new current time window, the second long-term operation and maintenance planning information can be taken as the new first long-term operation and maintenance planning information, and the process can return to the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window, thereby obtaining and executing the short-term operation and maintenance planning information for the next time window. The same method can be used to obtain and execute the short-term operation and maintenance planning information for each time window.

[0074] This embodiment obtains the first long-term operation and maintenance (O&M) planning information of the power plant corresponding to the previous time window within the current time window. Then, based on the first long-term O&M planning information, it determines the corresponding real-time O&M information within the current time window. The real-time O&M information and the O&M information within a preset time period prior to the current time window are input into a long-term prediction model to obtain the second long-term O&M planning information corresponding to the current time window. Next, the real-time O&M information and the O&M information from the previous time window are input into a short-term prediction model for the current time window to obtain and execute the corresponding short-term O&M planning information. Then, the next time window is taken as the new current time window, and the second long-term O&M planning information is used as the new first long-term O&M planning information. The process then returns to the previous step of obtaining the first long-term O&M planning information of the power plant corresponding to the previous time window within the current time window. This embodiment can accurately and effectively obtain the real-time O&M information of the current time window based on the first long-term O&M planning information from the previous time window, then obtain the second long-term O&M planning information through the long-term prediction model, and finally obtain the short-term O&M planning information through the short-term prediction model, thereby enabling scientific power plant O&M planning.

[0075] refer to Figure 4 , Figure 4 This is a flowchart illustrating the second embodiment of the power plant operation and maintenance planning method of this application.

[0076] Based on the first embodiment described above, in this embodiment, before step S20, the method further includes:

[0077] Step S01: Classify the power plant operation and maintenance modules according to the preset power plant profile, and obtain the operation and maintenance data corresponding to the classified operation and maintenance modules.

[0078] Understandably, this embodiment can pre-construct a preset power plant profile based on power plant operation and maintenance system information within a preset time period prior to the current time window. This preset time period is the same as the preset time period in the first embodiment. The power plant operation and maintenance system information may include all module information of the power plant's intelligent operation and maintenance system within a historical time period, as well as power generation-related third-party factors. Historical power plant operation and maintenance information may include basic power plant information, historical equipment operating data, operation and maintenance alarm and warning signals, etc. Power generation-related third-party factors refer to factors affecting power generation, which may include celestial characteristics, vegetation growth characteristics, human behavior analysis, power grid assessment standards, power grid commands, etc. A corresponding power plant profile can be constructed based on historical power plant operation and maintenance information, such as the operational health status, performance level, and fault index of equipment within the power plant.

[0079] It should be understood that the power plant operation and maintenance module can be classified into stages based on the preset power plant profile. This can include modules with obvious characteristics and modules without obvious characteristics. For example, if the power plant operation and maintenance module is a dust module, the classified operation and maintenance module can include rainy days and non-rainy days; if the power plant operation and maintenance module is a vegetation module, the classified operation and maintenance module can include the growing season and the non-growing season.

[0080] Furthermore, in order to accurately and effectively construct the preset power plant profile, in this embodiment, before step S01, the method further includes: extracting quantitative and qualitative data from the power plant operation and maintenance system information and power generation-related factors within a preset time period before the current time window; preprocessing the quantitative and qualitative data respectively to obtain processed power plant data; extracting features from the processed power plant data to obtain power plant features; and constructing the preset power plant profile based on the power plant operation and maintenance system information, power generation-related factors, and power plant features.

[0081] It should be understood that quantitative and qualitative data can be determined from the power plant operation and maintenance system information and power generation-related factors. Quantitative data may include historical equipment operation data, operation and maintenance alarm and early warning signals, power grid assessment standards, power grid instructions, and other data. Qualitative data may include basic power plant information, celestial features, vegetation growth characteristics, human behavior analysis, and other data.

[0082] Understandably, the aforementioned quantitative data can be processed by removing outliers and other dirty data—a process known as data cleaning—to obtain processed power plant data. Factor analysis can also be performed on the aforementioned qualitative data, and the analysis results can be encoded to obtain processed power plant data. Feature extraction, including time-series feature extraction and statistical feature extraction, is then performed on the processed power plant data to obtain power plant features. Subsequently, dimensionality reduction methods such as correlation analysis and principal component analysis are used for feature selection, and the selected multi-source features are fused to obtain the target power plant features.

[0083] In practical implementation, a pre-defined power station profile can be constructed based on power station operation and maintenance system information, power generation-related factors, and target power station characteristics. This profile includes, but is not limited to, the following dimensions: 1) a profile of the operational health status, performance level, and failure index of equipment within the power station; 2) a profile of key indicators of the power station, such as power generation efficiency, availability, and maintenance costs; and 3) a profile of the power station's environment, including its geographical location and characteristics, the migration and growth characteristics of plants and animals, the busy farming season, and the plum rain season.

[0084] Step S02: Train the long-term prediction model for the previous time window based on the operation and maintenance data to obtain the long-term prediction model for the current time window.

[0085] Understandably, the long-term prediction model for the previous time window can be trained based on operational data to obtain the long-term prediction model for the current time window.

[0086] In practical implementation, for training the short-term prediction model, a preset power plant profile can be constructed based on the power plant operation and maintenance system information, power generation related factors, and power plant characteristics of the previous time window. Then, operation and maintenance data can be obtained through the power plant profile, and the short-term prediction model of the previous time window can be trained based on the operation and maintenance data to obtain the short-term prediction model of the current time window.

[0087] This embodiment classifies power plant operation and maintenance modules into stages based on a preset power plant profile, obtains operation and maintenance data corresponding to each classified module, and then trains a long-term prediction model for the previous time window based on the operation and maintenance data to obtain a long-term prediction model for the current time window. This embodiment first classifies the power plant operation and maintenance modules into stages to obtain operation and maintenance data corresponding to each module, and then trains a long-term prediction model for the previous time window based on the operation and maintenance data to accurately obtain a long-term prediction model for the current time window.

[0088] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the power plant operation and maintenance planning device of this application.

[0089] like Figure 5 As shown, the power plant operation and maintenance planning device proposed in this application includes:

[0090] Information acquisition module 10 is used to acquire the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window;

[0091] The long-term operation and maintenance planning module 20 is used to determine the real-time operation and maintenance information corresponding to the current time window based on the first long-term operation and maintenance planning information, and input the real-time operation and maintenance information and the first operation and maintenance information within the preset time period before the current time window into the preset long-term prediction model to obtain the second long-term operation and maintenance planning information corresponding to the current time window.

[0092] The short-term operation and maintenance planning module 30 is used to input real-time operation and maintenance information and the second operation and maintenance information of the previous time window into the preset short-term prediction model of the current time window, obtain the short-term operation and maintenance planning information corresponding to the current time window and execute it.

[0093] The power plant operation and maintenance planning module 40 is used to take the next time window of the current time window as the new current time window, take the second long-term operation and maintenance planning information as the new first long-term operation and maintenance planning information, and return to execute the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

[0094] This embodiment obtains the first long-term operation and maintenance (O&M) planning information of the power plant corresponding to the previous time window within the current time window. Then, based on the first long-term O&M planning information, it determines the corresponding real-time O&M information within the current time window. The real-time O&M information and the O&M information within a preset time period prior to the current time window are input into a long-term prediction model to obtain the second long-term O&M planning information corresponding to the current time window. Next, the real-time O&M information and the O&M information from the previous time window are input into a short-term prediction model for the current time window to obtain and execute the corresponding short-term O&M planning information. Then, the next time window is taken as the new current time window, and the second long-term O&M planning information is used as the new first long-term O&M planning information. The process then returns to the previous step of obtaining the first long-term O&M planning information of the power plant corresponding to the previous time window within the current time window. This embodiment can accurately and effectively obtain the real-time O&M information of the current time window based on the first long-term O&M planning information from the previous time window, then obtain the second long-term O&M planning information through the long-term prediction model, and finally obtain the short-term O&M planning information through the short-term prediction model, thereby enabling scientific power plant O&M planning.

[0095] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this application. In practical applications, those skilled in the art can select some or all of it to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0096] In addition, for technical details not described in detail in this embodiment, please refer to the power plant operation and maintenance planning method provided in any embodiment of this application, which will not be repeated here.

[0097] Based on the first embodiment of the power plant operation and maintenance planning device described in this application, a second embodiment of the power plant operation and maintenance planning device of this application is proposed.

[0098] In this embodiment, the long-term operation and maintenance planning module 20 is further configured to obtain the current operation and maintenance planning information corresponding to the current time window from the first long-term operation and maintenance planning information; determine the current operation and maintenance type and / or the current operation and maintenance period based on the current operation and maintenance planning information; and obtain the real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period in the current time window.

[0099] Furthermore, the long-term operation and maintenance planning module 20 is also used to obtain the actual operation and maintenance type and the actual operation and maintenance period in the current time window, and to take the operation and maintenance information corresponding to the actual operation and maintenance type and the operation and maintenance information corresponding to the actual operation and maintenance period as unplanned operation and maintenance information; to obtain the operation and maintenance information in the current time window that is the same as the current operation and maintenance type and whose operation and maintenance period overlaps with the current operation and maintenance period as planned operation and maintenance information; and to take the unplanned operation and maintenance information and the planned operation and maintenance information as real-time operation and maintenance information.

[0100] Furthermore, the short-term operation and maintenance planning module 30 is also used to determine the real-time operation and maintenance type corresponding to the real-time operation and maintenance information; select the target operation and maintenance information corresponding to the real-time operation and maintenance type from the operation and maintenance information of the previous time window; select the target short-term prediction model corresponding to the real-time operation and maintenance type from the short-term prediction model of the current time window; input the real-time operation and maintenance information and the target operation and maintenance information into the target short-term prediction model, obtain the short-term operation and maintenance planning information corresponding to the current time window, and execute it.

[0101] Furthermore, the power plant operation and maintenance planning device also includes a model training module, which is used to classify the power plant operation and maintenance modules into stages according to a preset power plant profile, and obtain the operation and maintenance data corresponding to the classified operation and maintenance modules; and to train the long-term prediction model of the previous time window according to the operation and maintenance data to obtain the long-term prediction model of the current time window.

[0102] Furthermore, the model training module is also used to extract quantitative and qualitative data from the power plant operation and maintenance system information and power generation-related factors within a preset time period before the current time window; preprocess the quantitative and qualitative data respectively to obtain processed power plant data; extract features from the processed power plant data to obtain power plant features; and construct a preset power plant profile based on the power plant operation and maintenance system information, power generation-related factors, and power plant features.

[0103] Other embodiments or specific implementations of the power plant operation and maintenance planning device of this application can be referred to the above-mentioned method embodiments, and will not be repeated here.

[0104] This application provides a power plant operation and maintenance planning device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the power plant operation and maintenance planning method in the above embodiment 1.

[0105] The following is for reference. Figure 6 The diagram illustrates a structural schematic of a power plant operation and maintenance planning device suitable for implementing embodiments of this application. The power plant operation and maintenance planning device in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and vehicle-mounted terminals (e.g., vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 6 The power plant operation and maintenance planning equipment shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0106] like Figure 6As shown, the power plant operation and maintenance planning equipment may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the power plant operation and maintenance planning equipment. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the power plant operation and maintenance planning equipment to communicate wirelessly or wiredly with other equipment to exchange data. Although the figure shows power plant operation and maintenance planning equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0107] The power plant operation and maintenance planning equipment provided in this application, employing the power plant operation and maintenance planning method described in the above embodiments, can solve the technical problem of how to scientifically conduct power plant operation and maintenance planning. Compared with the prior art, the beneficial effects of the power plant operation and maintenance planning equipment provided in this application are the same as those of the power plant operation and maintenance planning method provided in the above embodiments, and other technical features of this power plant operation and maintenance planning equipment are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0108] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the power plant operation and maintenance planning method in the above embodiments.

[0111] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0112] The aforementioned computer-readable storage medium may be included in the power plant operation and maintenance planning equipment; or it may exist independently and not be installed in the power plant operation and maintenance planning equipment.

[0113] The aforementioned computer-readable storage medium carries one or more programs. When the aforementioned one or more programs are executed by the power plant operation and maintenance planning equipment, the power plant operation and maintenance planning equipment: in the current time window, acquires the long-term operation and maintenance planning information of the power plant corresponding to the previous time window; determines the real-time operation and maintenance information corresponding to the current time window based on the long-term operation and maintenance planning information, inputs the real-time operation and maintenance information and the operation and maintenance information within a preset time period before the current time window into the long-term prediction model to obtain the long-term operation and maintenance planning information corresponding to the current time window; inputs the real-time operation and maintenance information and the operation and maintenance information of the previous time window into the short-term prediction model of the current time window to obtain the short-term operation and maintenance planning information corresponding to the current time window and executes it.

[0114] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0116] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0117] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., computer programs) for executing the above-described power plant operation and maintenance planning method, and can solve the technical problem of how to scientifically conduct power plant operation and maintenance planning. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the power plant operation and maintenance planning method provided in the above embodiments, and will not be repeated here.

[0118] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the power plant operation and maintenance planning method described above.

[0119] The computer program product provided in this application can solve the technical problem of how to scientifically conduct power plant operation and maintenance planning. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the power plant operation and maintenance planning method provided in the above embodiments, and will not be repeated here.

[0120] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A power plant operation and maintenance planning method, characterized in that, The power plant operation and maintenance planning method includes the following steps: Within the current time window, obtain the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window; Based on the first long-term operation and maintenance planning information, determine the real-time operation and maintenance information corresponding to the current time window, input the real-time operation and maintenance information and the operation and maintenance information within the preset time period before the current time window into the long-term prediction model, and obtain the second long-term operation and maintenance planning information corresponding to the current time window. Input real-time operation and maintenance information and operation and maintenance information from the previous time window into the short-term prediction model for the current time window to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window. The next time window of the current time window is taken as the new current time window, the second long-term operation and maintenance planning information is taken as the new first long-term operation and maintenance planning information, and the process is returned to the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

2. The power plant operation and maintenance planning method as described in claim 1, characterized in that, The step of determining the real-time operation and maintenance information corresponding to the current time window based on the first long-term operation and maintenance planning information specifically includes: Obtain the current operation and maintenance plan information corresponding to the current time window from the first long-term operation and maintenance plan information; Determine the current maintenance type and / or current maintenance period based on the current maintenance planning information; Get real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period in the current time window.

3. The power plant operation and maintenance planning method as described in claim 2, characterized in that, The step of obtaining real-time operation and maintenance information corresponding to the current operation and maintenance type and / or the current operation and maintenance period in the current time window specifically includes: Obtain the actual maintenance type and actual maintenance period in the current time window, and treat the maintenance information corresponding to the actual maintenance type and the maintenance information corresponding to the actual maintenance period as unplanned maintenance information; Obtain the maintenance information within the current time window that is of the same type as the current maintenance and whose maintenance period overlaps with the current maintenance period as the planned maintenance information; Unplanned and planned maintenance information will be treated as real-time maintenance information.

4. The power plant operation and maintenance planning method as described in claim 1, characterized in that, The steps of inputting real-time operation and maintenance information and operation and maintenance information from the previous time window into the short-term prediction model for the current time window to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window specifically include: Determine the real-time operation and maintenance type corresponding to the real-time operation and maintenance information; Select the target maintenance information corresponding to the real-time maintenance type from the maintenance information of the previous time window; Select the target short-term prediction model corresponding to the real-time operation and maintenance type from the short-term prediction models of the current time window; Input real-time operation and maintenance information and target operation and maintenance information into the target short-term prediction model to obtain and execute the short-term operation and maintenance planning information corresponding to the current time window.

5. The power plant operation and maintenance planning method as described in claim 1, characterized in that, Before the step of determining the real-time operation and maintenance information corresponding to the current time window based on the long-term operation and maintenance planning information, and inputting the real-time operation and maintenance information and the operation and maintenance information within a preset time period before the current time window into the long-term prediction model to obtain the long-term operation and maintenance planning information corresponding to the current time window, the method further includes: Based on the preset power plant profile, the power plant operation and maintenance modules are classified into stages to obtain the operation and maintenance data corresponding to the classified operation and maintenance modules. The long-term prediction model for the previous time window is trained based on the operation and maintenance data to obtain the long-term prediction model for the current time window.

6. The power plant operation and maintenance planning method as described in claim 5, characterized in that, Before the step of classifying the power plant operation and maintenance modules according to a preset power plant profile and obtaining the operation and maintenance data corresponding to the classified operation and maintenance modules, the method further includes: Extract quantitative and qualitative data from power plant operation and maintenance system information and power generation-related factors within a preset time period prior to the current time window; Quantitative and qualitative data are preprocessed separately to obtain processed power plant data; Feature extraction is performed on the processed power plant data to obtain power plant features; A pre-defined power station profile is constructed based on power station operation and maintenance system information, power generation-related factors, and power station characteristics.

7. A power plant operation and maintenance planning device, characterized in that, The power plant operation and maintenance planning device includes: The information acquisition module is used to acquire the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window; The long-term operation and maintenance planning module is used to determine the real-time operation and maintenance information corresponding to the current time window based on the first long-term operation and maintenance planning information. The real-time operation and maintenance information and the first operation and maintenance information within the preset time period before the current time window are input into the preset long-term prediction model to obtain the second long-term operation and maintenance planning information corresponding to the current time window. The short-term operation and maintenance planning module is used to input real-time operation and maintenance information and the second operation and maintenance information of the previous time window into the preset short-term prediction model of the current time window, obtain the short-term operation and maintenance planning information corresponding to the current time window, and execute it. The power plant operation and maintenance planning module is used to take the next time window of the current time window as the new current time window, take the second long-term operation and maintenance planning information as the new first long-term operation and maintenance planning information, and return to execute the step of obtaining the first long-term operation and maintenance planning information of the power plant corresponding to the previous time window in the current time window.

8. A power plant operation and maintenance planning device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the power plant operation and maintenance planning method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the power plant operation and maintenance planning method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the power plant operation and maintenance planning method as described in any one of claims 1 to 6.

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