A power plant operation management automation examination system

Abstract

The application discloses a power plant operation management automation examination system and relates to the technical field of power industry automation; the application is characterized in that: the examination time interval of the preset related parameters is collected, and the related parameter changes of the power plant in the set time period are collected and analyzed after the preset examination time interval of the related parameters is reached, so that the power generation examination index and the equipment examination index of the power plant in the set time period are obtained, the preset examination mechanism is corresponded, and the power generation examination result and the equipment examination result of the power plant in the set time period are output, thereby solving the problem that the existing technology depends on manual data collection and analysis, which is not only inefficient but also is easily affected by subjective judgment, leading to inaccurate and inconsistent examination results.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power industry automation, in particular to a power plant operation management automation assessment system. BACKGROUND

[0002] With the development of the power industry, the demand for improving power generation efficiency, reducing operating costs and meeting environmental protection standards is increasing, which prompts power plants to seek more efficient and automated management methods.

[0003] However, the power plant operation management automation assessment system in the prior art still has the following disadvantages:

[0004] It relies on manual collection and analysis of data, which is not only inefficient but also susceptible to subjective judgment, leading to inaccurate and inconsistent assessment results;

[0005] It ignores the assessment of the operating status of each device in the power plant, making the assessment relatively single and unable to help personnel discover potential problems with the equipment, which poses a risk of operation.

[0006] Therefore, a power plant operation management automation assessment system is proposed. SUMMARY

[0007] Therefore, the present application provides a power plant operation management automation assessment system to solve the problems raised in the background art.

[0008] The purpose of the present application can be achieved by the following technical solutions: comprising a data acquisition module, a data processing module, an intelligent evaluation module and an assessment result output module;

[0009] The data acquisition module is used to preset the assessment time interval of the relevant parameters, and after reaching the preset assessment time interval of the relevant parameters, it collects the relevant parameter changes of the power plant in the set time period and sends them to the data processing module; wherein the relevant parameters include power generation, thermal efficiency and equipment parameters;

[0010] The data processing module is used to receive the relevant parameters of the power plant in the set time period and analyze them, thereby obtaining the power generation assessment index FDH and the equipment assessment index FTYq of the power plant in the set time period, and sending them to the intelligent evaluation module;

[0011] The power generation of the power plant in the set time period is received and analyzed, specifically:

[0012] Based on historical data and industry standards, the target value of the power plant in the set time period is determined;

[0013] The collected data is cleaned and sorted to ensure the accuracy and integrity of the data. It may be necessary to handle missing values, outliers or erroneous data;

[0014] The power generation of the power plant in the set time period is counted to obtain the total power generation of the power plant in the set time period, and the total power generation of the power plant in the set time period is compared with the set reference power generation to obtain the power generation ratio ma of the power plant in the set time period, that is, the total power generation / reference power generation is calculated;

[0015] The change of the thermal efficiency of the power plant in the set time period is received and analyzed, specifically:

[0016] The total combustion amount consumed by the power plant in the set time period is determined; the consumption of fuel is usually measured by mass or volume;

[0017] The combustion heat value of the preset total combustion amount is calculated, the total combustion amount of the power plant in the set time period is multiplied by the preset combustion heat value to obtain the total input heat energy of the power plant in the set time period, and the total power generation of the power plant in the set time period is extracted;

[0018] If the units of the total input heat energy and the total power generation are different, they need to be converted to the same unit;

[0019] The total power generation and the total input heat energy of the power plant in the set time period are compared by calculating the ratio, that is, the total power generation / total input heat energy is calculated, and the result is multiplied by 100% to obtain the thermal efficiency of the power plant in the set time period;

[0020] The thermal loss value of the power plant in the set time period is preset; in actual application, the thermal loss such as cooling system, chimney emission, etc. also needs to be considered, and the thermal loss value in the set time period is set by the technician;

[0021] The calculated thermal efficiency of the power plant in the set time period is subtracted from the preset thermal loss value to obtain the thermal efficiency value of the power plant in the current set time period;

[0022] The thermal efficiency value of the power plant X groups in advance is taken as the starting point, where X>5, and the specific value is preset by the technician;

[0023] The thermal efficiency value of the power plant X groups is taken as the data source to construct the thermal efficiency value line chart of the power plant, the numerical points corresponding to the thermal efficiency value of different set time periods in the line chart are drawn, and the adjacent numerical points are connected to obtain the estimated value line;

[0024] The slope of the estimated value line and the included angle between the estimated value line and the horizontal line are calculated; when the included angle between the estimated value line and the horizontal line is an acute angle, the slope of the estimated value line is marked as a first slope; when the included angle between the estimated value line and the horizontal line is an obtuse angle, the slope of the estimated value line is marked as a second slope; the values of all the first slopes are summed to obtain a first total value and marked as K1, and the values of all the second slopes are summed and the absolute values are obtained to obtain a second total value and marked as K2;

[0025] A line segment is obtained by connecting the value point with the highest ranking and the value point with the lowest ranking in the connected line graph, and the line segment is marked as a connecting line; the slope of the connecting line and the included angle between the connecting line and the horizontal line are calculated; when the included angle between the connecting line and the horizontal line is an acute angle, the slope of the connecting line is marked as a third slope, and the value of the third slope is represented by a symbol M1; when the included angle between the connecting line and the horizontal line is an obtuse angle, the slope of the connecting line is marked as a fourth slope, and the absolute value of the fourth slope is represented by a symbol M2;

[0026] The vertical distance between the value point with the highest ranking and the value point with the lowest ranking is calculated, and the value of the vertical distance is marked as K3; the efficiency ratio mb is obtained by using the formula mb=(K1 / K2)×t1+Mi×t2+K3×t3; wherein, i=1 or 2; t1, t2 and t3 are all influence weight factors;

[0027] The mean value of the thermal efficiency estimation of the X group of the power plant is taken as the mean value of the thermal efficiency of the power plant, and the reference minimum value of the thermal efficiency estimation and the reference maximum value of the efficiency ratio mb of the power plant in the set time period are respectively preset and marked as ea and eb;

[0028] According to the formula The power generation ratio ma, the efficiency ratio mb and the mean value of the thermal efficiency mc of the power plant in the current set time period are weighted and calculated to obtain the power generation evaluation index FDH of the power plant in the current set time period; wherein, h1, h2 and h3 are respectively the influence weight factors of the power generation ratio ma, the efficiency ratio mb and the mean value of the thermal efficiency mc;

[0029] The equipment parameters of the power plant in the set time period are received and analyzed, and the specific steps are as follows:

[0030] The temperature values of each equipment at different time points in the set time period are collected, and the equipment type is represented by a number q, wherein q=1, 2...p, and p is the total number of the equipment;

[0031] The maximum temperature value is extracted from the temperature values of each equipment at different time points in the set time period, and the mean value of the temperature values at different time points is taken as the temperature mean value of each equipment; the reference maximum temperature value in the running process of each equipment is set based on the specific type of each equipment;

[0032] respectively, and the two groups of calculated ratios are denoted as maximum ratio and average ratio respectively;

[0033] respectively, and the two groups of calculated ratios are denoted as maximum ratio and average ratio respectively;

[0034] The starting running time point of each device is obtained, and a time difference calculation is performed with the current time point to obtain the running time ubq of each device;

[0035] The factory date of each device is obtained from the database, and a time difference calculation is performed with the current time point to obtain the service life of each device, and the historical maintenance times of each device are obtained;

[0036] Each group of service life and historical maintenance times of each device is respectively preset with a group of service life value range and a group of times value range; each group of service life value range and each group of times value range are respectively set to correspond to a service life score and a times score; the longer or more the service life and historical maintenance times of the device are, the higher the corresponding matched score is;

[0037] The service life score and the times score of each device are added to obtain the aging score ucq of each device;

[0038] The temperature estimate uaq, the running time ubq and the aging score ucq of each device are substituted into the formula The device evaluation index FTYq of each device is obtained by weighted calculation; wherein r1, r2 and r3 are the influence weight factors of the temperature estimate uaq, the running time ubq and the aging score ucq of each device respectively;

[0039] The intelligent evaluation module is used to receive the power generation evaluation index FDH and the device evaluation index FTYq of the power plant in the set time period, and based on the corresponding preset evaluation mechanism, the power generation evaluation result and the device evaluation result of the power plant in the set time period are output, and sent to the evaluation result output module;

[0040] Specifically:

[0041] Each group of index value range of the power generation evaluation index FDH and the device evaluation index FTYq is respectively preset, and each group of index value range of the power generation evaluation index FDH and the device evaluation index FTYq is respectively set to correspond to a power generation evaluation level and a device evaluation level;

[0042] The power generation evaluation grade and the equipment evaluation grade are obtained by matching the power generation evaluation index FDH and the equipment evaluation index FTYq of the power plant in the set time period with corresponding value ranges, and the power generation evaluation grade and the equipment evaluation grade are taken as the power generation evaluation result and the equipment evaluation result of the power plant in the set time period.

[0043] The evaluation result output module is configured to receive the evaluation result of the power plant in the set time period, and convert the evaluation result into a report form and send the report form to the mobile terminal of the manager.

[0044] Compared with the prior art, the present application has the following advantages:

[0045] The present application obtains the power generation evaluation index and the equipment evaluation index of the power plant in the set time period by presetting the evaluation time interval of the related parameters, collecting the changes of the related parameters of the power plant in the set time period after reaching the preset evaluation time interval of the related parameters, and analyzing the changes, and outputs the power generation evaluation result and the equipment evaluation result of the power plant in the set time period according to the preset evaluation mechanism, thereby solving the problem that the prior art relies on manual collection and analysis of data, which is not only inefficient, but also easily affected by subjective judgment, resulting in inaccurate and inconsistent evaluation results.

[0046] The present application helps to optimize the maintenance plan and management strategy of the equipment by evaluating the temperature, running time and aging condition of each equipment of the power plant, thereby reducing the operation hidden danger. BRIEF DESCRIPTION OF DRAWINGS

[0047] In the following description of exemplary embodiments in conjunction with the accompanying drawings, more details, features and advantages of the present application are disclosed, in which:

[0048] Figure 1 The figure is a schematic diagram of the principle of the present application. DETAILED DESCRIPTION

[0049] Several embodiments of the present application will be described in detail below with reference to the accompanying drawings so as to enable those skilled in the art to implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0050] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0051] Referring to Figure 1 As shown in the drawings, a power plant operation management automation assessment system includes a data acquisition module, a data processing module, an intelligent evaluation module, and an assessment result output module.

[0052] The data acquisition module is used to preset the assessment time interval of the relevant parameters, and after reaching the preset assessment time interval of the relevant parameters, the relevant parameter changes of the power plant in the set time period are collected and sent to the data processing module; wherein the relevant parameters include power generation, thermal efficiency and equipment parameters;

[0053] The data processing module is used to receive the relevant parameters of the power plant in the set time period, and analyze them, thereby obtaining the power generation assessment index FDH and the equipment assessment index FTYq of the power plant in the set time period, and sending them to the intelligent evaluation module;

[0054] The power generation of the power plant in the set time period is received and analyzed, specifically:

[0055] Based on historical data and industry standards, the target value of the power plant in the set time period is determined;

[0056] The collected data is cleaned and arranged to ensure the accuracy and integrity of the data. Missing values, outliers or error data may need to be processed;

[0057] The power generation of the power plant in the set time period is calculated to obtain the total power generation of the power plant in the set time period, and the total power generation of the power plant in the set time period is calculated by the ratio of the set reference power generation to obtain the power generation ratio ma of the power plant in the set time period, that is, by total power generation / reference power generation;

[0058] The thermal efficiency change of the power plant in the set time period is received and analyzed, specifically:

[0059] The total amount of fuel consumed by the power plant in the set time period is determined; the consumption of fuel is usually measured by mass or volume;

[0060] The calorific value of the preset total combustion volume is multiplied by the preset calorific value to obtain the total input heat energy of the power plant within the set time period, and the total power generation of the power plant within the set time period is extracted at the same time.

[0061] If the units of total input heat energy and total power generation are different, they need to be converted to the same unit;

[0062] The thermal efficiency of a power plant within a set time period is obtained by calculating the ratio of its total power generation to its total heat input during a set time period, i.e., by dividing the total power generation by the total heat input. The result is then multiplied by 100%.

[0063] The heat loss value of the power plant is preset within a set time period. In practical applications, heat loss, such as that from the cooling system and chimney emissions, also needs to be considered. The heat loss value within the set time period is set by the technicians as described above.

[0064] Subtract the preset heat loss value from the calculated thermal efficiency of the power plant within the set time period to obtain the estimated thermal efficiency of the power plant within the current set time period.

[0065] Starting from the current time period, estimate the thermal efficiency of X power plants X groups before the starting point, where X > 5, and the specific value is preset by technical personnel.

[0066] Using the thermal efficiency estimate of power plant group X as the data source, construct a line graph of the thermal efficiency estimate of the power plant, plot the numerical points in the line graph corresponding to the thermal efficiency estimates of different set time periods, and connect adjacent numerical points to obtain the estimate line.

[0067] Calculate the slope of the valuation line and the angle between the valuation line and the horizontal line; when the angle between the valuation line and the horizontal line is acute, mark the slope of the valuation line as the first slope; when the angle between the valuation line and the horizontal line is obtuse, mark it as the second slope; sum all the values ​​of the first slope to obtain the first total value and mark it as K1; sum all the values ​​of the second slope and take the absolute value to obtain the second total value and mark it as K2;

[0068] Connect the first and last numerical points in the line chart to form a line segment and mark it as a connecting line. Calculate the slope of the connecting line and the angle between it and the horizontal line. When the angle between the connecting line and the horizontal line is acute, the slope of the connecting line is marked as the third slope, and the value of the third slope is represented by the symbol M1. When the angle between the connecting line and the horizontal line is obtuse, the slope of the connecting line is marked as the fourth slope, and the absolute value of the fourth slope is represented by the symbol M2.

[0069] The vertical distance between the highest numerical point and the lowest numerical point is calculated, and the numerical value of the vertical distance is marked as K3; the efficiency ratio mb is obtained by using the formula mb=(K1 / K2)×t1+Mi×t2+K3×t3; wherein, i=1 or 2; t1, t2 and t3 are all influence weight factors;

[0070] The mean value of the thermal efficiency estimates of the X group of the power plant is taken as the mean thermal efficiency mc of the power plant, and the reference minimum value and the reference maximum value of the thermal efficiency estimates and the efficiency ratio mb of the power plant in the set time period are respectively preset and marked as ea and eb;

[0071] According to the formula The power generation ratio ma, the efficiency ratio mb and the mean thermal efficiency mc of the power plant in the current set time period are weighted and calculated to obtain the power generation evaluation index FDH of the power plant in the current set time period; wherein h1, h2 and h3 are the influence weight factors of the power generation ratio ma, the efficiency ratio mb and the mean thermal efficiency mc respectively;

[0072] The equipment parameters of the power plant in the set time period are received and analyzed, specifically:

[0073] The temperature values of each equipment at different time points in the set time period of the power plant are collected, and the equipment type is represented by a number q, wherein q=1, 2...p, and p is the total number of equipment;

[0074] From the temperature values of each equipment at different time points in the set time period, the maximum temperature value is extracted, and the mean value of the temperature values at different time points is taken as the temperature mean value of each equipment, and the reference maximum temperature value in the running process of each equipment is set based on the specific type of each equipment;

[0075] The ratio between the maximum temperature value and the reference maximum temperature value of each equipment is calculated, that is, the maximum temperature value / reference maximum temperature value and the mean value / reference maximum temperature value are calculated to obtain two groups of ratios, which are marked as maximum ratio and mean ratio respectively;

[0076] The weight coefficients of the maximum ratio and the mean ratio corresponding to each equipment are respectively preset, and the maximum ratio and the mean ratio of each equipment are multiplied by the corresponding preset weight coefficients, and then summed to obtain the temperature estimate uaq of each equipment in the set time period;

[0077] The starting running time point of each equipment is obtained, and the time difference is calculated with the current time point to obtain the running time ubq of each equipment;

[0078] The factory date of each equipment is obtained from the database, and the time difference is calculated with the current time point to obtain the service life of each equipment, and the historical maintenance times of each equipment are obtained;

[0079] Respectively preset each group of age value range and each group of number value range of the corresponding service life and historical maintenance number of each device; set each group of age value range and each group of number value range to correspond to an age score and a number score respectively; the longer or more the service life and historical maintenance number of each device, the higher the score matched;

[0080] Add the age score and the number score of each device to obtain the aging score ucq of each device;

[0081] Substitute the temperature estimate uaq, the running time ubq and the aging score ucq of each device into the formula Carry out weighted calculation to obtain the device evaluation index FTYq of each device; wherein r1, r2 and r3 are the influence weight factors of the temperature estimate uaq, the running time ubq and the aging score ucq of each device respectively;

[0082] The intelligent evaluation module is used for receiving the power generation evaluation index FDH and the device evaluation index FTYq of the power plant in a set time period, and based on the corresponding preset evaluation mechanism, outputting the power generation evaluation result and the device evaluation result of the power plant in the set time period, and sending to the evaluation result output module;

[0083] Specifically:

[0084] Respectively preset each group of index value range of the power generation evaluation index FDH and the device evaluation index FTYq, and set each group of index value range of the power generation evaluation index FDH and the device evaluation index FTYq to correspond to a power generation evaluation level and a device evaluation level respectively;

[0085] Match the power generation evaluation index FDH and the device evaluation index FTYq of the power plant in the set time period with the corresponding value range respectively to obtain the power generation evaluation level and the device evaluation level, and take the power generation evaluation level and the device evaluation level as the power generation evaluation result and the device evaluation result of the power plant in the set time period;

[0086] The evaluation result output module is used for receiving the evaluation result of the power plant in the set time period, and converting the evaluation result into a report form and sending to the mobile terminal of the management personnel;

[0087] The above formulas are all dimensionless values, and the dimensionless values can be obtained by standardization and other means, which will not be described here. The formula is obtained by collecting a large amount of data to simulate the recent real situation, and the preset parameters in the formula are set by the person skilled in the art according to the actual situation.

[0088] The above-described embodiments can be implemented in part or in whole through software, hardware, firmware or any combination thereof. When implemented in software, the above-described embodiments can be implemented using one or more computer programs written in any suitable programming language. Such programs can be stored in one or more storage media or memory devices (e.g., a computer readable medium) associated with the computer or other suitable devices. The memory devices can include, but are not limited to, RAM, ROM, EEPROM, flash memory or other suitable memory devices. The computer programs can be loaded and / or executed on the computer or other suitable devices to produce a computer implemented process, such that the actions specified in the computer programs are performed. The computer programs can be executed on a single computer or on multiple computers.

[0089] It should be understood that the sequence of the above processes is not intended to mean the execution order of the processes, and the execution order of the processes should be determined according to the functions and inherent logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0090] Those skilled in the art can understand that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0091] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are merely illustrative, for example, the division of units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, which may be located in one place or distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0093] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit.

[0094] The functions, if realized in the form of software functional units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application can be embodied in the form of software product, and the computer software product is stored in a storage medium, including a plurality of instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: U disk, mobile ATA hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and various program code storage media.

[0095] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details, nor limit the application to the specific embodiments. Obviously, many modifications and variations can be made according to the content of the present application. The present application is selected and described in detail, in order to better explain the principles and practical application of the present application, so that those skilled in the art can well understand and utilize the present application. The present application is limited by the claims and their full scope and equivalents.

Claims

1. An automated assessment system for power plant operation management, characterized in that, include: Data acquisition module: presets the assessment time interval for relevant parameters, and after the preset assessment time interval for relevant parameters is reached, collects the changes of relevant parameters of the power plant within the set time period and sends them to the data processing module; The relevant parameters include power generation, thermal efficiency, and equipment parameters; Data processing module: Receives relevant parameters from the power plant within a set time period, analyzes them, and obtains the power generation assessment index FDH and equipment assessment index FTYq of the power plant within the set time period, and sends them to the intelligent evaluation module. Intelligent assessment module: Receives the power generation assessment index FDH and equipment assessment index FTYq of the power plant within a set time period, and outputs the power generation assessment results and equipment assessment results of the power plant within the set time period based on the corresponding preset assessment mechanism, and sends them to the assessment result output module. Assessment Result Output Module: Receives the assessment results from the power plant within a set time period and converts the results into a report, which is then sent to the mobile terminal of the management personnel. The power generation performance index (FDH) of the power plant within the set time period is obtained as follows: Starting from the current time period, estimate the thermal efficiency of X power plants X groups before the starting point, where X > 5; Using the thermal efficiency estimate of power plant group X as the data source, construct a line graph of the thermal efficiency estimate of the power plant, plot the numerical points in the line graph corresponding to the thermal efficiency estimates of different set time periods, and connect adjacent numerical points to obtain the estimate line. Calculate the slope of the valuation line and the angle between the valuation line and the horizontal line; when the angle between the valuation line and the horizontal line is acute, mark the slope of the valuation line as the first slope; when the angle between the valuation line and the horizontal line is obtuse, mark it as the second slope; sum all the values ​​of the first slope to obtain the first total value and mark it as K1; sum all the values ​​of the second slope and take the absolute value to obtain the second total value and mark it as K2; Connect the first and last numerical points in the line chart to form a line segment and mark it as a connecting line. Calculate the slope of the connecting line and the angle between it and the horizontal line. When the angle between the connecting line and the horizontal line is acute, the slope of the connecting line is marked as the third slope, and the value of the third slope is represented by the symbol M1. When the angle between the connecting line and the horizontal line is obtuse, the slope of the connecting line is marked as the fourth slope, and the absolute value of the fourth slope is represented by the symbol M2. Calculate the vertical distance between the highest and lowest value points and label the vertical distance as K3; The efficiency ratio mb is obtained using the formula mb=(K1 / K2)×t1+Mi×t2+K3×t3; where i=1 or 2; t1, t2 and t3 are all influencing weight factors; Take the average thermal efficiency estimate of power plant X as the average thermal efficiency mc of the power plant. Preset the reference minimum value of thermal efficiency estimate and the reference maximum value of efficiency ratio mb of the power plant within a set time period, and label them as ea and eb respectively. According to the formula The power generation ratio ma, efficiency ratio mb, and average thermal efficiency mc of the above power plants in the current set time period are weighted and calculated to obtain the power generation assessment index FDH of the power plants in the current set time period; where h1, h2 and h3 are the influence weight factors of power generation ratio ma, efficiency ratio mb and average thermal efficiency mc respectively. The equipment performance index FTYq of the power plant within the set time period is obtained as follows: Retrieve the manufacturing date of each device from the database, calculate the time difference with the current time, obtain the service life of each device, and also obtain the historical number of repairs for each device. Each set of service life and number of repairs for each piece of equipment is preset with a set of service life and number of repairs for each group; each set of service life and number of repairs for each group corresponds to a service life score and a number of repairs score, respectively. The aging score (ucq) of each device is obtained by summing the age score and frequency score of each device. Substitute the temperature estimate uaq, the running time ubq, and the aging score ucq of each device into the formula. The equipment assessment index FTYq for each device is obtained by weighted calculation; where r1, r2 and r3 are the influence weight factors of temperature estimate uaq, running time ubq and aging score ucq for each device, respectively.

2. The automated assessment system for power plant operation management according to claim 1, characterized in that, Receive and analyze the power generation from the power plant within a set time period, specifically: Determine the target value for the power plant within the set time period; statistically analyze the power generation of the power plant within the set time period to obtain the total power generation of the power plant within the set time period; calculate the ratio of the total power generation of the power plant within the set time period to the set reference power generation to obtain the power generation ratio ma of the power plant within the set time period, which is calculated by dividing the total power generation by the reference power generation.

3. The automated assessment system for power plant operation management according to claim 1, characterized in that, Receive and analyze the changes in thermal efficiency of power plants over a set time period, specifically: Determine the total amount of combustion consumed by the power plant within a set time period; preset the calorific value of the total combustion amount; multiply the total combustion amount of the power plant within the set time period by the preset calorific value to obtain the total input heat energy of the power plant within the set time period; and simultaneously extract the total power generation of the power plant within the set time period. The thermal efficiency of a power plant within a set time period is obtained by calculating the ratio of its total power generation to its total heat input during a set time period, i.e., by dividing the total power generation by the total heat input. The result is then multiplied by 100%. The preset heat loss value of the power plant within a set time period is calculated; the preset heat loss value is then subtracted from the calculated thermal efficiency of the power plant within the set time period to obtain the estimated thermal efficiency of the power plant within the current set time period.

4. The automated assessment system for power plant operation management according to claim 1, characterized in that, Receive and analyze the equipment parameters from the power plant within a set time period, specifically: Collect temperature values ​​of each device in the power plant at different time points within a set time period. The device type is represented by the number q, where q = 1, 2...p, and p is the total number of devices. Extract the maximum temperature value from the temperature values ​​of each device at different time points within a set time period, and take the average of the temperature values ​​at different time points as the average temperature value of each device. Based on the specific type of each device, set the reference maximum temperature value for each device during operation. Calculate the ratio between the maximum temperature value and the average temperature value of each device and the reference maximum temperature value, respectively. That is, calculate the ratio by dividing the maximum temperature value by the reference maximum temperature value and the average temperature value by the reference maximum temperature value. Record the two sets of ratios as the maximum ratio and the average ratio, respectively. Each device has a preset weighting coefficient for its maximum ratio and average ratio. The maximum ratio and average ratio of each device are multiplied by their respective preset weighting coefficients, and then summed to obtain the estimated temperature uaq of each device within a set time period. Obtain the start time of each device and calculate the time difference with the current time to obtain the running time of each device (ubq).

5. The automated assessment system for power plant operation management according to claim 1, characterized in that, The output power plant's power generation assessment results and equipment assessment results for the set time period are as follows: The value ranges of each group of power generation assessment index FDH and equipment assessment index FTYq are preset respectively. The value ranges of each group of power generation assessment index FDH and equipment assessment index FTYq are set to correspond to a power generation assessment level and an equipment assessment level respectively. The power generation assessment index FDH and equipment assessment index FTYq of the power plant within a set time period are matched with their corresponding value ranges to obtain the power generation assessment level and the assessment level of each piece of equipment. The power generation assessment level and the assessment level of each piece of equipment are then used as the power generation assessment result and the equipment assessment result of the power plant within the set time period.

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