Automatic assessment system for operation management of power plant

Abstract

The invention discloses a power plant operation management automation examination system, and relates to the technical field of power industry automation. According to the method, the assessment time interval of the related parameters is preset, and after the preset assessment time interval of the related parameters is reached, the related parameter changes of the power plant in the set time period are collected and analyzed, so that the power generation assessment index and the equipment assessment index of the power plant in the set time period are obtained, and a preset assessment mechanism is corresponding to the power generation assessment index and the equipment assessment index. Therefore, the power generation assessment result and the equipment assessment result of the power plant in the set time period are output, and the problems that in the prior art, data are collected and analyzed manually, so that the efficiency is low, and the assessment results are inaccurate and inconsistent due to the fact that the data are easily influenced by subjective judgment are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power industry automation, and in particular to an automatic assessment system for power plant operation management. Background Art

[0002] As the power industry develops, the demand for improving power generation efficiency, reducing operating costs, and meeting environmental protection standards is growing, which has prompted 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 shortcomings:

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

[0005] The operating status assessment of each equipment in the power plant was ignored, the assessment was relatively simple, and could not help personnel discover potential problems with the equipment, resulting in operational risks.

[0006] To this end, an automated assessment system for power plant operation management is introduced. Summary of the invention

[0007] In view of this, the present invention provides a power plant operation management automation assessment system to solve the problems raised by the above background technology.

[0008] The purpose of the present invention can be achieved by the following technical solution: 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, collect the relevant parameter changes of the power plant within the set time period and send them to the data processing module; the relevant parameters include power generation, thermal efficiency and equipment parameters;

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

[0011] Receive the power generation of the power plant within the set time period and analyze it, specifically:

[0012] Determine target values ​​for power plants within a set time period based on historical data and industry standards;

[0013] Clean and organize the collected data to ensure its accuracy and completeness. It may be necessary to deal with 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 calculated 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 calculation is performed by total power generation / reference power generation;

[0015] Receive the thermal efficiency changes of the power plant within the set time period and analyze them, specifically:

[0016] Determine the total amount of fuel consumed by a power plant over a set period of time; fuel consumption is usually measured in terms of mass or volume;

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

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

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

[0020] Preset the heat loss value of the power plant within the set time period; in actual application, heat loss also needs to be considered, such as cooling system, chimney emission, etc., and the technicians set the heat loss value within the set time period through the above;

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

[0022] Taking the current set time period as the starting point, estimate the thermal efficiency of X groups of power plants before the starting point, where X>5, and the specific value is preset by the technicians;

[0023] Taking the thermal efficiency valuation of group X of power plants as the data source, a line chart of thermal efficiency valuation of power plants is constructed, and the numerical points corresponding to the thermal efficiency valuation of different set time periods are plotted in the line chart, and the adjacent numerical points are connected to obtain the valuation line;

[0024] 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 an acute angle, mark the slope of the valuation line as the first slope; when the angle between the valuation line and the horizontal line is a blunt angle, mark it as the second slope; sum up all the values ​​of the first slope to obtain the first total value and mark it as K1, sum up all the values ​​of the second slope and take the absolute value to obtain the second total value and mark it as K2;

[0025] Connect the first numerical point in the line graph with the last numerical point in the line graph to obtain a line segment and mark the line segment as a connecting line, calculate the slope of the connecting line and the angle between the connecting line and the horizontal line, when the angle between the connecting line and the horizontal line is an acute angle, mark the slope of the connecting line as a 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 an obtuse angle, mark the slope of the connecting line as a fourth slope, and the absolute value of the fourth slope is represented by the symbol M2;

[0026] Calculate the vertical distance between the highest value point and the lowest value point and mark the value of the vertical distance as K3; use the formula mb = (K1 / K2) × t1 + Mi × t2 + K3 × t3 to obtain the efficiency ratio mb; where i = 1 or 2; t1, t2 and t3 are all influencing weight factors;

[0027] Take the average value of the thermal efficiency estimates of the power plant group X as the thermal efficiency mean value mc of the power plant, preset the reference minimum value of the thermal efficiency estimate and the reference maximum value of the efficiency ratio mb of the power plant within the set time period, and mark them as ea and eb respectively;

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

[0029] Receive the equipment parameters of the power plant within the set time period and analyze them, specifically:

[0030] Collect the temperature values ​​of each device in the power plant at different time points within the 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;

[0031] Extract the maximum temperature value from the temperature values ​​of each device at different time points within the set time period, and take the average of the temperature values ​​at different time points as the average temperature value of each device. Set the reference maximum temperature value of each device during operation based on the specific type of each device.

[0032] Calculate the ratios of the maximum temperature value and the average temperature value of each device to the reference maximum temperature value, that is, calculate by the maximum temperature value / reference maximum temperature value and the average temperature / reference maximum temperature value, and record the two groups of ratios as the maximum ratio and the average ratio respectively;

[0033] Preset the weight coefficients of the maximum ratio and the average ratio of each device respectively, multiply the maximum ratio and the average ratio of each device by the corresponding preset weight coefficients respectively, and then sum them up to obtain the temperature estimation uaq of each device in the set time period;

[0034] Get the start time of each device, and calculate the time difference with the current time to get the running time ubq of each device;

[0035] Obtain the factory date of each device from the database, and calculate the time difference with the current time point to obtain the service life of each device, and at the same time obtain the historical maintenance times of each device;

[0036] Preset the age value ranges and times value ranges of each group of equipment corresponding to the service life and historical maintenance times; set each age value range and each times value range to correspond to an age score and times score respectively; the longer or more the equipment service life and historical maintenance times are, the higher the corresponding matching score will be;

[0037] The age score and frequency score of each device are accumulated to obtain the aging score ucq of each device;

[0038] Substitute the temperature estimate uaq, running time ubq and aging score ucq of each device into the formula The equipment assessment index FTYq of each device is obtained by weighted calculation; among which r1, r2 and r3 are the influence weight factors of the temperature estimation 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 assessment index FDH and the equipment assessment index FTYq of the power plant within the set time period, and based on the corresponding preset assessment mechanism, output the power generation assessment result and the equipment assessment result of the power plant within the set time period, and send them to the assessment result output module;

[0040] Specifically:

[0041] Preset the index value ranges of each group of power generation assessment index FDH and equipment assessment index FTYq respectively, and set the index value range corresponding to each group of power generation assessment index FDH and equipment assessment index FTYq to correspond to a power generation assessment level and an equipment assessment level respectively;

[0042] Match the power generation assessment index FDH and the equipment assessment index FTYq of the power plant within the set time period with the corresponding value ranges, obtain the power generation assessment level and the assessment level of each equipment, and use the power generation assessment level and the assessment level of each equipment as the power generation assessment result and equipment assessment result of the power plant within the set time period;

[0043] The assessment result output module is used to receive the assessment results of the power plant within a set time period, and convert the assessment results into a report and send it to the mobile terminal of the manager.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention presets an assessment time interval of relevant parameters, and after reaching the preset assessment time interval of relevant parameters, collects and analyzes the changes of relevant parameters of the power plant within the set time period, thereby obtaining the power generation assessment index and equipment assessment index of the power plant within the set time period, corresponding to the preset assessment mechanism, and outputting the power generation assessment result and equipment assessment result of the power plant within the set time period, thereby solving the problem of relying on manual data collection and analysis in the prior art, which is not only inefficient but also easily affected by subjective judgment, resulting in inaccurate and inconsistent assessment results;

[0046] The present invention helps to optimize the maintenance plan and management strategy of the equipment and reduce operating risks by evaluating the temperature, operating time and aging condition of each equipment in the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0048] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0049] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can 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 those 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 consistent with their meaning in the context of the relevant art and / or this specification, and will not be interpreted in an idealized or overly formal sense, unless explicitly defined as such herein.

[0051] See also Figure 1 As shown, a power plant operation management automation assessment system includes a data acquisition module, a data processing module, an intelligent assessment 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, collect the relevant parameter changes of the power plant within the set time period and send them to the data processing module; the relevant parameters include power generation, thermal efficiency and equipment parameters;

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

[0054] Receive the power generation of the power plant within the set time period and analyze it, specifically:

[0055] Determine target values ​​for power plants within a set time period based on historical data and industry standards;

[0056] Clean and organize the collected data to ensure its accuracy and completeness. It may be necessary to deal with missing values, outliers or erroneous data;

[0057] 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 calculated 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 calculation is performed by total power generation / reference power generation;

[0058] Receive the thermal efficiency changes of the power plant within the set time period and analyze them, specifically:

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

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

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

[0062] The thermal efficiency of the power plant in the set time period is obtained by calculating the ratio of the total power generation and the total input heat energy of the power plant in the set time period, that is, calculating by total power generation / total input heat energy, and multiplying the calculated result by 100%;

[0063] Preset the heat loss value of the power plant within the set time period; in actual application, heat loss also needs to be considered, such as cooling system, chimney emission, etc., and the technicians set the heat loss value within the set time period through the above;

[0064] The thermal efficiency calculated by the power plant in the set time period is subtracted from the preset heat loss value to obtain the thermal efficiency estimate of the power plant in the current set time period;

[0065] Taking the current set time period as the starting point, estimate the thermal efficiency of X groups of power plants before the starting point, where X>5, and the specific value is preset by the technicians;

[0066] Taking the thermal efficiency valuation of group X of power plants as the data source, a line chart of thermal efficiency valuation of power plants is constructed, and the numerical points corresponding to the thermal efficiency valuation of different set time periods are plotted in the line chart, and the adjacent numerical points are connected to obtain the valuation 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 an acute angle, mark the slope of the valuation line as the first slope; when the angle between the valuation line and the horizontal line is a blunt angle, mark it as the second slope; sum up all the values ​​of the first slope to obtain the first total value and mark it as K1, sum up 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 numerical point in the line graph with the last numerical point in the line graph to obtain a line segment and mark the line segment as a connecting line, calculate the slope of the connecting line and the angle between the connecting line and the horizontal line, when the angle between the connecting line and the horizontal line is an acute angle, mark the slope of the connecting line as a 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 an obtuse angle, mark the slope of the connecting line as a fourth slope, and the absolute value of the fourth slope is represented by the symbol M2;

[0069] Calculate the vertical distance between the highest value point and the lowest value point and mark the value of the vertical distance as K3; use the formula mb = (K1 / K2) × t1 + Mi × t2 + K3 × t3 to obtain the efficiency ratio mb; where i = 1 or 2; t1, t2 and t3 are all influencing weight factors;

[0070] Take the average value of the thermal efficiency estimates of the power plant group X as the thermal efficiency mean value mc of the power plant, preset the reference minimum value of the thermal efficiency estimate and the reference maximum value of the efficiency ratio mb of the power plant within the set time period, and mark them as ea and eb respectively;

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

[0072] Receive the equipment parameters of the power plant within the set time period and analyze them, specifically:

[0073] Collect the temperature values ​​of each device in the power plant at different time points within the 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;

[0074] Extract the maximum temperature value from the temperature values ​​of each device at different time points within the set time period, and take the average of the temperature values ​​at different time points as the average temperature value of each device. Set the reference maximum temperature value of each device during operation based on the specific type of each device.

[0075] Calculate the ratios of the maximum temperature value and the average temperature value of each device to the reference maximum temperature value, that is, calculate by the maximum temperature value / reference maximum temperature value and the average temperature / reference maximum temperature value, and record the two groups of ratios as the maximum ratio and the average ratio respectively;

[0076] Preset the weight coefficients of the maximum ratio and the average ratio of each device respectively, multiply the maximum ratio and the average ratio of each device by the corresponding preset weight coefficients respectively, and then sum them up to obtain the temperature estimation uaq of each device in the set time period;

[0077] Get the start time of each device, and calculate the time difference with the current time to get the running time ubq of each device;

[0078] Obtain the factory date of each device from the database, and calculate the time difference with the current time point to obtain the service life of each device, and at the same time obtain the historical maintenance times of each device;

[0079] Preset the age value ranges and times value ranges of each group of equipment corresponding to the service life and historical maintenance times; set each age value range and each times value range to correspond to an age score and times score respectively; the longer or more the equipment service life and historical maintenance times are, the higher the corresponding matching score will be;

[0080] The age score and frequency score of each device are accumulated to obtain the aging score ucq of each device;

[0081] Substitute the temperature estimate uaq, running time ubq and aging score ucq of each device into the formula The equipment assessment index FTYq of each device is obtained by weighted calculation; among which r1, r2 and r3 are the influence weight factors of the temperature estimation uaq, the running time ubq and the aging score ucq of each device respectively;

[0082] The intelligent evaluation module is used to receive the power generation assessment index FDH and the equipment assessment index FTYq of the power plant within the set time period, and based on the corresponding preset assessment mechanism, output the power generation assessment result and the equipment assessment result of the power plant within the set time period, and send them to the assessment result output module;

[0083] Specifically:

[0084] Preset the index value ranges of each group of power generation assessment index FDH and equipment assessment index FTYq respectively, and set the index value range corresponding to each group of power generation assessment index FDH and equipment assessment index FTYq to correspond to a power generation assessment level and an equipment assessment level respectively;

[0085] Match the power generation assessment index FDH and the equipment assessment index FTYq of the power plant within the set time period with the corresponding value ranges, obtain the power generation assessment level and the assessment level of each equipment, and use the power generation assessment level and the assessment level of each equipment as the power generation assessment result and equipment assessment result of the power plant within the set time period;

[0086] The assessment result output module is used to receive the assessment results of the power plant within a set time period, and convert the assessment results into a report and send it to the mobile terminal of the manager;

[0087] The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0088] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, an ATA hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state ATA hard disk.

[0089] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0090] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0091] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

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

[0094] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage media include: U disk, mobile ATA hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program codes.

[0095] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A power plant operation management automation assessment system, characterized in that: include: Data acquisition module: presets the assessment time interval of relevant parameters, and after reaching the preset assessment time interval of relevant parameters, 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 of the power plant within a set time period and analyzes them, thereby obtaining 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 evaluation module: receives the power generation assessment index FDH and equipment assessment index FTYq of the power plant within the 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 of the power plant within a set time period, converts the assessment results into a report and sends it to the manager's mobile terminal.

2. A power plant operation management automation assessment system according to claim 1, characterized in that: Receive the power generation of the power plant within the set time period and analyze it, specifically: Determine the target value of the power plant within the set time period; count 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, and obtain the power generation ratio ma of the power plant within the set time period, that is, calculate by total power generation / reference power generation.

3. The power plant operation management automation assessment system according to claim 1 is characterized in that: Receive the thermal efficiency changes of the power plant within the set time period and analyze them, specifically: Determine the total amount of combustion consumed by the power plant within a set time period; preset the combustion calorific value of the total amount of combustion, multiply the total amount of combustion consumed by the power plant within the set time period by the preset combustion calorific value, obtain the total input heat energy of the power plant within the set time period, and extract the total power generation of the power plant within the set time period; The thermal efficiency of the power plant in the set time period is obtained by calculating the ratio of the total power generation and the total input heat energy of the power plant in the set time period, that is, calculating by total power generation / total input heat energy, and multiplying the calculated result by 100%; A heat loss value of the power plant within a set time period is preset; the thermal efficiency calculated by the power plant within the set time period is subtracted from the preset heat loss value to obtain an estimated thermal efficiency of the power plant within the current set time period.

4. The power plant operation management automation assessment system according to claim 1 is characterized in that: The power generation assessment index FDH of the power plant in the set time period is obtained, specifically: Taking the current set time period as the starting point, estimate the thermal efficiency of X groups of power plants before the starting point, where X>5; Taking the thermal efficiency valuation of group X of power plants as the data source, a line chart of thermal efficiency valuation of power plants is constructed, and the numerical points corresponding to the thermal efficiency valuation of different set time periods are plotted in the line chart, and the adjacent numerical points are connected to obtain the valuation 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 an acute angle, mark the slope of the valuation line as the first slope; when the angle between the valuation line and the horizontal line is a blunt angle, mark it as the second slope; sum up all the values ​​of the first slope to obtain the first total value and mark it as K1, sum up 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 numerical point in the line graph with the last numerical point in the line graph to obtain a line segment and mark the line segment as a connecting line, calculate the slope of the connecting line and the angle between the connecting line and the horizontal line, when the angle between the connecting line and the horizontal line is an acute angle, mark the slope of the connecting line as a 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 an obtuse angle, mark the slope of the connecting line as a fourth slope, and the absolute value of the fourth slope is represented by the symbol M2; Calculate the vertical distance between the highest value point and the lowest value point and mark the value of the vertical distance as K3; use the formula mb = (K1 / K2) × t1 + Mi × t2 + K3 × t3 to obtain the efficiency ratio mb; where i = 1 or 2; t1, t2 and t3 are all influencing weight factors; Take the average value of the thermal efficiency estimates of the power plant group X as the thermal efficiency mean value mc of the power plant, preset the reference minimum value of the thermal efficiency estimate and the reference maximum value of the efficiency ratio mb of the power plant within the set time period, and mark them as ea and eb respectively; According to the formula The power generation ratio ma, efficiency ratio mb and thermal efficiency mean mc of the above-mentioned power plant in the current set time period are weightedly calculated to obtain the power generation assessment index FDH of the power plant in the current set time period; among which h1, h2 and h3 are the influencing weight factors of the power generation ratio ma, efficiency ratio mb and thermal efficiency mean mc respectively.

5. The power plant operation management automation assessment system according to claim 1 is characterized in that: Receive the equipment parameters of the power plant within the set time period and analyze them, specifically: Collect the temperature values ​​of each device in the power plant at different time points within the 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 the set time period, and take the average of the temperature values ​​at different time points as the average temperature value of each device. Set the reference maximum temperature value of each device during operation based on the specific type of each device. Calculate the ratios of the maximum temperature value and the average temperature value of each device to the reference maximum temperature value, that is, calculate by the maximum temperature value / reference maximum temperature value and the average temperature / reference maximum temperature value, and record the two groups of ratios as the maximum ratio and the average ratio respectively; Preset the weight coefficients of the maximum ratio and the average ratio of each device respectively, multiply the maximum ratio and the average ratio of each device by the corresponding preset weight coefficients respectively, and then sum them up to obtain the temperature estimation uaq of each device in the set time period; Get the start time of each device, and calculate the time difference with the current time to get the running time ubq of each device.

6. The power plant operation management automation assessment system according to claim 1, characterized in that: The equipment assessment index FTYq of the power plant within the set time period is obtained, specifically: Obtain the factory date of each device from the database, and calculate the time difference with the current time point to obtain the service life of each device, and at the same time obtain the historical maintenance times of each device; Preset the age value ranges and times value ranges of each group of equipment corresponding to the service life and historical maintenance times respectively; set each age value range and each times value range to correspond to an age score and times score respectively; The age score and frequency score of each device are accumulated to obtain the aging score ucq of each device; Substitute the temperature estimate uaq, running time ubq and aging score ucq of each device into the formula A weighted calculation is performed to obtain the equipment assessment index FTYq of each device; among which r1, r2 and r3 are the influencing weight factors of the temperature estimation uaq, the running time ubq and the aging score ucq of each device respectively.

7. The power plant operation management automation assessment system according to claim 1 is characterized in that: Output the power generation assessment results and equipment assessment results of the power plant within the set time period, specifically: Preset the index value ranges of each group of power generation assessment index FDH and equipment assessment index FTYq respectively, and set the index value range corresponding to each group of power generation assessment index FDH and equipment assessment index FTYq to correspond to a power generation assessment level and an equipment assessment level respectively; The power generation assessment index FDH and the equipment assessment index FTYq of the power plant within the set time period are matched with the corresponding value ranges respectively to obtain the power generation assessment grade and the assessment grade of each equipment, and the power generation assessment grade and the assessment grade of each equipment are used as the power generation assessment result and equipment assessment result of the power plant within the set time period.

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