Power station boiler service life evaluation method and system considering boiler tube corrosion

Abstract

The invention provides a power station boiler life evaluation method and system considering boiler tube corrosion, and belongs to the technical field of life evaluation. The method specifically comprises the following steps: calculating the operation probability of common data intervals corresponding to corrosion influence factors under different operation schemes and the corrosion influence condition of the corrosion influence factors on a boiler tube; determining a reference operation scheme in the operation schemes and the occurrence probability of the reference operation scheme, and determining the tube explosion probabilities of different furnace tubes in different division time periods in the future based on historical data and in combination with common data intervals corresponding to corrosion influence factors under the reference operation scheme, and the service life and the corresponding occurrence probability of the boiler under different reference operation schemes are determined by utilizing the tube explosion probabilities of different boiler tubes in different divided time periods, so that the reference value of the evaluation result of the service life is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of life evaluation, and in particular relates to a method and system for evaluating the life of a power station boiler taking into account furnace tube corrosion. Background Art

[0002] The four types of heating surface tubes in the heat exchange surface of power station boilers, namely water-cooled wall, superheater, reheater and economizer, rupture and leak due to various reasons such as overheating, corrosion and wear. In severe cases, it may even cause boiler shutdown. This makes it a technical problem that needs to be solved urgently to evaluate the service life of power station boilers based on the evaluation results of furnace tube corrosion.

[0003] Specifically, in the invention patent application CN202310919816.3 "A method and system for predicting the life of furnace tubes of thermal power generation units", the remaining life data of the furnace tubes to be predicted is calculated through the complete life data of the furnace tubes to be predicted, the furnace tube life damage coefficient and the current service data, which solves the problem of unreliable life prediction of furnace tubes in existing thermal power generation units. However, there are the following technical problems: The evaluation result of a certain furnace tube in a single power plant boiler often cannot accurately reflect the service life of the entire boiler. If the corrosion evaluation results of different types of boiler furnace tubes cannot be combined to evaluate the service life of the boiler, the accuracy of the evaluation results of the boiler's service life cannot be guaranteed.

[0004] In view of the above technical problems, the present invention provides a method and system for evaluating the life of a power plant boiler taking into account furnace tube corrosion. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides the following technical solutions to achieve the purpose of the present invention: According to one aspect of the present invention, a method for evaluating the life of a power plant boiler taking into account furnace tube corrosion is provided.

[0006] A method for evaluating the life of a power plant boiler taking into account furnace tube corrosion, specifically comprising: S1: using the analysis results of the historical operation data of the power plant boiler to determine the historical data of the corrosion influencing factors of different furnace tubes, and when it is determined that the operation state of the power plant boiler meets the requirements based on the analysis results of the historical data, proceed to the next step; S2: determining the common data intervals corresponding to the corrosion influencing factors and the operation probability of the common data intervals based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals; S3 freely combines the common data intervals corresponding to different types of corrosion influencing factors to obtain multiple groups of operation plans, and determines the reference operation plan in the operation plan and the occurrence probability of the reference operation plan based on the operation probability of the common data intervals corresponding to the corrosion influencing factors under different operation plans and the corrosion influence of the corrosion influencing factors on the furnace tube; S4 determines the burst probabilities of different furnace tubes in different future time periods based on historical data and in combination with the commonly used data intervals corresponding to the corrosion influencing factors under the reference operation scheme, and uses the burst probabilities of different furnace tubes in different time periods to determine the service life of the boiler and the corresponding occurrence probabilities under different reference operation schemes.

[0007] The beneficial effects of the present invention are: 1. In the present invention, a reference operation scheme in the operation scheme is carried out based on the operation probability of the commonly used data intervals corresponding to the corrosion influencing factors under different operation schemes and the corrosion influence of the corrosion influencing factors on the furnace tubes. This not only takes into account the magnitude of the probability of occurrence of the corrosion influencing factors under different operation schemes, but also takes into account the corrosion influence on the furnace tubes under the commonly used data intervals, thereby achieving the determination of the reference operation scheme with a larger probability of occurrence and a larger corrosion influence, and also laying a foundation for evaluating the service life under different reference operation schemes.

[0008] 2. The service life of the boiler under different reference operation schemes is determined by using the burst probability of different furnace tubes in different divided time periods, avoiding the technical problem of inaccurate service life assessment results caused by considering a single reference scheme, and realizing accurate assessment of the service life of the boiler under multiple reference operation schemes, thereby improving the reference value of the assessment results of the service life of the boiler and laying the foundation for generating differentiated boiler operation and maintenance management strategies.

[0009] A further technical solution is that the historical operation data is determined based on data reading results of a monitoring device of the power station boiler.

[0010] A further technical solution is that the corrosion influencing factors include flue gas high temperature corrosion influencing factors, flue gas low temperature corrosion influencing factors, alkaline corrosion influencing factors, acid corrosion influencing factors and oxygen corrosion influencing factors.

[0011] A further technical solution is that the historical data includes data of the corrosion influencing factors at different time periods.

[0012] A further technical solution is that the method for determining the service life of the boiler under the reference operation scheme is: Based on the influence of different types of furnace tubes bursting on the normal operation of the power plant boiler, preset weight coefficients of the probability of tube bursting of different types of furnace tubes are determined, and the operating state values ​​in different divided time periods are determined based on the preset weight coefficients and the probability of tube bursting of different furnace tubes in different divided time periods; The service life of the boiler under the reference operation scheme is determined by using the operation status values ​​in different divided time periods.

[0013] A further technical solution is to use the earliest divided time period corresponding to the operating state value being less than a preset state threshold as the service life of the boiler under the reference operating scheme.

[0014] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned method for evaluating the life of a power plant boiler taking into account furnace tube corrosion.

[0015] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0018] Figure 1 It is a flow chart of a method for evaluating the life of a power plant boiler taking into account furnace tube corrosion; Figure 2 It is a flow chart of a method for determining a commonly used data interval corresponding to corrosion influencing factors; Figure 3 It is a flow chart of a method for determining a reference operation plan. DETAILED DESCRIPTION

[0019] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0020] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0021] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a method for evaluating the life of a power plant boiler taking into account furnace tube corrosion is provided, which specifically includes: S1: using the analysis results of the historical operation data of the power plant boiler to determine the historical data of the corrosion influencing factors of different furnace tubes, and when it is determined that the operation state of the power plant boiler meets the requirements based on the analysis results of the historical data, proceed to the next step; Furthermore, the historical operation data is determined based on data reading results of a monitoring device of the power station boiler.

[0022] Specifically, the corrosion influencing factors include flue gas high temperature corrosion influencing factors, flue gas low temperature corrosion influencing factors, alkaline corrosion influencing factors, acid corrosion influencing factors and oxygen corrosion influencing factors.

[0023] It should be noted that the historical data includes data of the corrosion influencing factors at different time periods.

[0024] In one embodiment, determining whether the operating state of the power plant boiler meets the requirements specifically includes: Determine the operating time of different types of corrosion influencing factors in different data intervals based on the analysis results of the historical data; Determine the associated corrosion influencing factors of different types of furnace tubes, and determine the current burst probability of different types of furnace tubes based on the operation time of different associated corrosion influencing factors in different data intervals; Based on the influence of different types of furnace tube bursts on the normal operation of the power station boiler, preset weight coefficients of the tube burst probabilities of different types of furnace tubes are determined, and the operating state value of the power station boiler is determined by the weight sum of the preset weight coefficients and the current tube burst probability, and whether the operating state of the power station boiler meets the requirements is determined by the operating state value.

[0025] Further, when the operating state value of the power station boiler is within a preset state value range, it is determined that the operating state of the power station boiler meets the requirements.

[0026] It can be understood that when the operating state of the power plant boiler does not meet the requirements, the service life of the boiler is determined by using the preset service life.

[0027] It should be further explained that determining whether the operating state of the power plant boiler meets the requirements specifically includes: S11 determines the corrosion influence factors of different corrosion influence factors based on the operation time of different corrosion influence factors in different data intervals; Optionally, the above step S11 includes the following contents: Based on the operating time of different corrosion influencing factors in different data intervals, the corrosion influencing factors of different corrosion influencing factors are determined, and it is judged whether there are corrosion influencing factors whose corrosion influencing factors do not meet the requirements. If so, step S12 is entered; if not, it is determined that the operating status of the power station boiler meets the requirements.

[0028] S12 regards the corrosion influencing factors that do not meet the requirements as abnormal influencing factors, determines the associated corrosion influencing factors of different types of furnace tubes, and determines the current tube burst probability of different types of furnace tubes based on the operation time of different associated corrosion influencing factors in different data intervals; Optionally, the above step S12 includes steps S121-S123, specifically: S121: taking the corrosion influencing factors that do not meet the requirements as abnormal influencing factors, and judging whether the number of the abnormal influencing factors is greater than the preset number of influencing factors, if yes, proceeding to the next step, if no, proceeding to step S123; S122 determines the associated corrosion influencing factors of different types of furnace tubes, and judges whether there is a type of furnace tube whose number of associated abnormal influencing factors does not meet the requirements. If so, it is determined that the operating state of the power plant boiler does not meet the requirements. If not, proceed to the next step; S123 determines the current bursting probability of different types of furnace tubes based on the operating time of different associated corrosion influencing factors in different data intervals, and judges whether the types of furnace tubes whose current bursting probability does not meet the requirements are greater than the preset number of types. If so, it is determined that the operating state of the power plant boiler does not meet the requirements. If not, enter step S13.

[0029] S13 determines preset weight coefficients of the probability of tube burst of different types of furnace tubes based on the impact of tube burst of different types of furnace tubes on the normal operation of the power station boiler, determines the operating state value of the power station boiler by the weight sum of the preset weight coefficients and the current tube burst probability, and determines whether the operating state of the power station boiler meets the requirements by the operating state value.

[0030] S2: determining the common data intervals corresponding to the corrosion influencing factors and the operation probability of the common data intervals based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals; Furthermore, the distribution data of the operating time periods include data intervals where the corrosion influencing factors in different operating time periods are located and historical dates where the different operating time periods are located.

[0031] Specifically, Figure 2 As shown, the method for determining the commonly used data interval corresponding to the corrosion influencing factors is: Based on the distribution data of the operating time periods of the corrosion influencing factors in different data intervals, determining the operating time period in the data interval and using it as the matching operating time period; The historical dates with matching running time periods are used as matching historical dates, and the proportion of the number of dates in different data intervals is determined according to the proportion of the number of matching historical dates; The matching operation probability on different matching historical dates is determined by the proportion of the number of matching operation time periods on different matching historical dates, and the operation probability of different data intervals is determined by the average value of the matching operation probability of different matching historical dates and the product of the proportion of the number of dates, and the common data intervals are determined using the operation probability.

[0032] It can be understood that the data interval with an operating probability greater than a preset probability threshold is used as a common data interval corresponding to the corrosion influencing factor.

[0033] It should be further explained that the method for determining the commonly used data interval corresponding to the corrosion influencing factors is: S21 is based on the distribution data of the operating time periods of the corrosion influencing factors in different data intervals; Optionally, the above step S21 includes the following contents: Based on the distribution data of the operating time periods of the corrosion influencing factors in different data intervals, determine whether there is a corresponding operating time period in the data interval. If so, enter step S22; if not, determine that the data interval does not belong to the common data interval corresponding to the corrosion influencing factors.

[0034] S22 uses the running time in the data interval as the matching running time, uses the historical date with the matching running time as the matching historical date, determines the number ratio of dates in different data intervals by the number ratio of the matching historical dates, and determines the matching running probability on different matching historical dates by the number ratio of the matching running time of different matching historical dates; Optionally, the above step S22 includes steps S221-S223, specifically: S221 takes the operation time periods within the data interval as matching operation time periods, and determines whether the number of the matching operation time periods is less than the number of preset time periods. If so, proceed to the next step; if not, proceed to step S23; S222: taking the historical date with the matching operation period as the matching historical date, determining the date quantity ratio of different data intervals according to the quantity ratio of the matching historical date, judging whether the date quantity ratio of the data interval is less than the preset quantity ratio, if so, determining that the data interval does not belong to the common data interval corresponding to the corrosion influencing factor, if not, proceeding to the next step; S223 determines the matching operation probability on different matching historical dates based on the number ratio of the matching operation time periods on different matching historical dates, and determines whether there is a matching historical date with a matching operation probability greater than a preset operation probability threshold. If yes, proceed to step S23; if no, determine that the data interval does not belong to the common data interval corresponding to the corrosion influencing factor; S23 determines the operation probabilities of different data intervals by multiplying the average values ​​of the matching operation probabilities of different matching historical dates by the proportion of the number of dates, and determines the commonly used data intervals by using the operation probabilities.

[0035] S3 freely combines the common data intervals corresponding to different types of corrosion influencing factors to obtain multiple groups of operation plans, and determines the reference operation plan in the operation plan and the occurrence probability of the reference operation plan based on the operation probability of the common data intervals corresponding to the corrosion influencing factors under different operation plans and the corrosion influence of the corrosion influencing factors on the furnace tube; Furthermore, multiple sets of operation plans are obtained, including: The commonly used data intervals corresponding to different types of corrosion influencing factors are used as basic data, and the basic data of different corrosion influencing factors are freely combined to obtain multiple groups of operation plans.

[0036] It can be understood that the corrosion influence of the corrosion influencing factors on the furnace tube is determined according to the corrosion depth of the furnace tube within a preset time period by the corrosion influencing factors.

[0037] Specifically, Figure 3 As shown, the method for determining the reference operation scheme is: Determine the occurrence probability under the operation scheme based on the operation probability of the common data interval corresponding to the corrosion influencing factors under the operation scheme; Determine the associated corrosion influencing factors of different types of furnace tubes, and determine the corrosion influence coefficients of different types of furnace tubes under the operation schemes by using the common data intervals of the different associated corrosion influencing factors, and determine the operation reliability coefficients of the boilers under different operation schemes by using the corrosion influence coefficients of different types of furnace tubes under the operation schemes; The reference demand coefficient under the operation scheme is determined by multiplying the occurrence probability under the operation scheme and the operation reliability coefficient of the boiler, and the reference demand coefficient is used to determine whether the operation scheme is a reference operation scheme.

[0038] Furthermore, when the reference demand coefficient under the operation plan is greater than a preset demand coefficient threshold, it is determined that the operation plan belongs to the reference operation plan.

[0039] It should be further explained that the method for determining the reference operation scheme is: S31, based on the operation probability of the common data interval corresponding to the corrosion influencing factors under the operation scheme, determining the occurrence probability under the operation scheme; S32 determines the associated corrosion influencing factors of different types of furnace tubes, and determines the corrosion influence coefficients of different types of furnace tubes under the operation schemes by using the common data intervals where the different associated corrosion influencing factors are located, and determines the operation reliability coefficients of the boilers under different operation schemes by using the corrosion influence coefficients of different types of furnace tubes under the operation schemes; S33 determines the reference demand coefficient under the operation scheme by multiplying the occurrence probability under the operation scheme by the operation reliability coefficient of the boiler, and uses the reference demand coefficient to determine whether the operation scheme is a reference operation scheme.

[0040] Furthermore, the occurrence probability of the reference operation scheme is determined according to the product of the operation probabilities of the common data intervals corresponding to the corrosion influencing factors under the reference operation scheme.

[0041] S4 determines the burst probabilities of different furnace tubes in different future time periods based on historical data and in combination with the commonly used data intervals corresponding to the corrosion influencing factors under the reference operation scheme, and uses the burst probabilities of different furnace tubes in different time periods to determine the service life of the boiler and the corresponding occurrence probabilities under different reference operation schemes.

[0042] It can be understood that the method for determining the pipe burst probability is: Determine the operating duration of different types of corrosion influencing factors in different data intervals based on the analysis results of the historical data, and determine the corresponding operating duration of different types of corrosion influencing factors in different data intervals in different divided time periods in combination with the commonly used data intervals corresponding to the corrosion influencing factors under the reference operation scheme; Based on the corresponding operating time of different types of corrosion influencing factors in different data intervals in different divided time periods as input, and based on the pre-trained AI model, the probability of furnace tube burst in different divided time periods is determined.

[0043] Further, the value range of the probability of the furnace tube bursting is between 0 and 1, wherein the greater the probability of the furnace tube bursting is, the lower the probability of the furnace tube bursting is.

[0044] Specifically, the method for determining the service life of the boiler under the reference operation scheme is: Based on the influence of different types of furnace tubes bursting on the normal operation of the power plant boiler, preset weight coefficients of the probability of tube bursting of different types of furnace tubes are determined, and the operating state values ​​in different divided time periods are determined based on the preset weight coefficients and the probability of tube bursting of different furnace tubes in different divided time periods; The service life of the boiler under the reference operation scheme is determined by using the operation status values ​​in different divided time periods.

[0045] It should be noted that the earliest divided time period corresponding to the operating state value being less than the preset state threshold is taken as the service life of the boiler under the reference operating scheme.

[0046] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned method for evaluating the life of a power plant boiler taking into account furnace tube corrosion.

[0047] Optionally, the above step S31 includes steps S311-S312, which are specifically: S311 determines whether there is a corrosion influencing factor whose operating probability is greater than a preset probability limit value based on the operating probability of the common data interval corresponding to the corrosion influencing factor under the operating scheme, and if so, proceeds to the next step; if not, determines that the operating scheme does not belong to the reference operating scheme; S312 determines the occurrence probability under the operation scheme based on the operation probability of the common data interval corresponding to the corrosion influencing factors under the operation scheme, and judges whether the occurrence probability under the operation scheme is within the preset occurrence probability interval. If so, it is determined that the operation scheme belongs to the reference operation scheme. If not, enter step S32.

[0048] Optionally, the above step S32 includes steps S321-S323, specifically: S321 determines whether the occurrence probability under the operation scheme is greater than a preset occurrence probability threshold, if so, proceeds to the next step, if not, proceeds to step S33; S322 determines the associated corrosion influencing factors of different types of furnace tubes, and determines the corrosion influence coefficients of different types of furnace tubes under the operation scheme using the common data intervals of the different associated corrosion influencing factors, and determines whether there are furnace tubes whose corrosion influence coefficients do not meet the requirements. If so, it is determined that the operation scheme belongs to the reference operation scheme, and if not, proceeds to the next step; S323 determines the operating reliability coefficient of the boiler under different operating schemes through the corrosion influence coefficients of different types of furnace tubes under the operating schemes, and judges whether the operating reliability coefficient of the boiler under the operating scheme meets the requirements. If so, enters step S33; if not, determines that the operating scheme belongs to the reference operating scheme.

[0049] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0050] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0051] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for evaluating the life of a power plant boiler taking into account furnace tube corrosion, characterized in that: Specifically include: Determine the historical data of the corrosion influencing factors of different boiler tubes by using the analysis results of the historical operation data of the power station boiler, and proceed to the next step when it is determined that the operation state of the power station boiler meets the requirements by using the analysis results of the historical data; Determine the common data intervals corresponding to the corrosion influencing factors and the operation probability of the common data intervals based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals; The commonly used data intervals corresponding to different types of corrosion influencing factors are freely combined to obtain multiple groups of operation plans, and the reference operation plan in the operation plan and the occurrence probability of the reference operation plan are determined based on the operation probability of the commonly used data intervals corresponding to the corrosion influencing factors under different operation plans and the corrosion influence of the corrosion influencing factors on the furnace tube; Based on historical data and in combination with the commonly used data intervals corresponding to the corrosion influencing factors under the reference operation scheme, the burst probabilities of different furnace tubes in different divided time periods in the future are determined, and the service life of the boiler and the corresponding occurrence probability under different reference operation schemes are determined using the burst probabilities of different furnace tubes in different divided time periods.

2. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: The historical operation data is determined based on the data reading result of the monitoring device of the power station boiler.

3. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: The corrosion influencing factors include flue gas high temperature corrosion influencing factors, flue gas low temperature corrosion influencing factors, alkaline corrosion influencing factors, acid corrosion influencing factors and oxygen corrosion influencing factors.

4. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: Determining that the operating status of the power plant boiler meets the requirements specifically includes: Determine the operating time of different types of corrosion influencing factors in different data intervals based on the analysis results of the historical data; Determine the associated corrosion influencing factors of different types of furnace tubes, and determine the current burst probability of different types of furnace tubes based on the operation time of different associated corrosion influencing factors in different data intervals; Based on the influence of different types of furnace tube bursts on the normal operation of the power station boiler, preset weight coefficients of the tube burst probabilities of different types of furnace tubes are determined, and the operating state value of the power station boiler is determined by the weight sum of the preset weight coefficients and the current tube burst probability, and whether the operating state of the power station boiler meets the requirements is determined by the operating state value.

5. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 4, characterized in that: When the operating state value of the power station boiler is within a preset state value range, it is determined that the operating state of the power station boiler meets the requirements.

6. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: When the operating state of the power station boiler does not meet the requirements, the service life of the boiler is determined using a preset service life.

7. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: The distribution data of the operating time periods include data intervals where the corrosion influencing factors in different operating time periods are located and historical dates where the different operating time periods are located.

8. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: The method for determining the commonly used data interval corresponding to the corrosion influencing factors is: Based on the distribution data of the operating time periods of the corrosion influencing factors in different data intervals, determining the operating time period in the data interval and using it as the matching operating time period; The historical dates with matching running time periods are used as matching historical dates, and the proportion of the number of dates in different data intervals is determined according to the proportion of the number of matching historical dates; The matching operation probability on different matching historical dates is determined by the proportion of the number of matching operation time periods on different matching historical dates, and the operation probability of different data intervals is determined by the average value of the matching operation probability of different matching historical dates and the product of the proportion of the number of dates, and the common data intervals are determined using the operation probability.

9. The power plant boiler life evaluation method considering furnace tube corrosion according to claim 1, characterized in that: The method for determining the service life of the boiler under the reference operation scheme is: Based on the influence of different types of furnace tubes bursting on the normal operation of the power plant boiler, preset weight coefficients of the probability of tube bursting of different types of furnace tubes are determined, and the operating state values ​​in different divided time periods are determined based on the preset weight coefficients and the probability of tube bursting of different furnace tubes in different divided time periods; The service life of the boiler under the reference operation scheme is determined by using the operation status values ​​in different divided time periods.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a power plant boiler life evaluation method taking into account furnace tube corrosion as described in any one of claims 1 to 9 when running the computer program.

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