A method and system for evaluating the life of a utility boiler considering furnace tube corrosion

Abstract

The present invention provides a method and system for evaluating the life of a power station boiler considering furnace tube corrosion, belonging to the technical field of life evaluation. Specifically, it includes: determining the reference operation plan and the occurrence probability of the reference operation plan in the operation plan based on the operation probability of the common data interval corresponding to the corrosion influencing factors under different operation plans and the corrosion influence of the corrosion influencing factors on the furnace tubes. Based on historical data and combined with the common data interval corresponding to the corrosion influencing factors under the reference operation plan, determining the burst probability of different furnace tubes in different divided time periods in the future, and using the burst probability of different furnace tubes in different divided time periods to determine the service life of the boiler and the corresponding occurrence probability under different reference operation plans, thereby enhancing the reference value of the evaluation result of the service life.

Description

Technical Field

[0001] The present invention belongs to the technical field of life evaluation, and particularly relates to a method and system for evaluating the life of a power station boiler considering furnace tube corrosion. Background Art

[0002] In the four heating surface tubes of water walls, superheaters, reheaters, and economizers in the heat exchange surface of a power station boiler, due to various reasons such as overheating, corrosion, and wear, ruptures and leaks occur, and in severe cases, even boiler shutdown due to accidents may be caused. This makes it an urgent technical problem to evaluate the service life of a power station boiler by combining the evaluation results of furnace tube corrosion in the power station boiler.

[0003] Specifically, in the invention patent application CN202310919816.3 "A method and system for predicting the life of furnace tubes in a thermal power generation unit", the remaining life data of the furnace tube to be predicted is calculated through the complete life data of the furnace tube to be predicted, the furnace tube life damage coefficient, and the current service data, solving the problem of unreliable prediction of the furnace tube life in the existing thermal power generation unit. However, there are the following technical problems:

[0004] The evaluation result of a single furnace tube in a power station boiler often cannot accurately reflect the service life of the overall boiler. If the evaluation of the service life of the boiler cannot be combined with the evaluation results of the corrosion of different types of boiler furnace tubes, the accuracy of the evaluation result of the service life of the boiler cannot be guaranteed.

[0005] In view of the above technical problems, the present invention provides a method and system for evaluating the life of a power station boiler considering furnace tube corrosion. Summary of the Invention

[0006] To achieve the object of the present invention, the present invention adopts the following technical solutions:

[0007] To solve the above technical problems, to achieve the object of the present invention, the present invention adopts the following technical solutions:

[0008] According to one aspect of the present invention, there is provided a method for evaluating the life of a power station boiler considering furnace tube corrosion.

[0009] A method for evaluating the life of a power station boiler considering furnace tube corrosion specifically includes:

[0010] S1 Analyze the historical operation data of the power station boiler to determine the historical data of the corrosion influencing factors of different furnace tubes. When the analysis result of the historical data determines that the operation state of the power station boiler meets the requirements, proceed to the next step;

[0011] S2 determines the common data interval corresponding to the corrosion influencing factor and the operating probability of the common data interval based on the distribution data of the operating periods of the corrosion influencing factor in different data intervals.

[0012] S3 freely combines the common data intervals corresponding to different types of corrosion influencing factors to obtain multiple sets of operating schemes, and determines the reference operating scheme in the operating scheme and the occurrence probability of the reference operating scheme based on the operating probability of the common data interval corresponding to the corrosion influencing factor under different operating schemes and the corrosion influence of the corrosion influencing factor on the furnace tubes.

[0013] S4 determines the burst probability of different furnace tubes in different future divided time periods based on historical data and in combination with the common data interval corresponding to the corrosion influencing factor under the reference operating scheme, and determines the service life of the boiler and the corresponding occurrence probability under different reference operating schemes by using the burst probability of different furnace tubes in different divided time periods.

[0014] The beneficial effects of the present invention are as follows:

[0015] 1. In the present invention, the reference operating scheme in the operating scheme is determined based on the operating probability of the common data interval corresponding to the corrosion influencing factor under different operating schemes and the corrosion influence of the corrosion influencing factor on the furnace tubes. This not only takes into account the magnitude of the occurrence probability of the corrosion influencing factor under different operating schemes, but also takes into account the corrosion influence on the furnace tubes in the common data interval, realizing the determination of the reference operating scheme with a relatively large occurrence probability and a relatively large corrosion influence, and laying a foundation for the assessment of the service life under different reference operating schemes.

[0016] 2. The service life of the boiler under different reference operating schemes is determined by using the burst probability of different furnace tubes in different divided time periods, avoiding the technical problem of inaccurate assessment results of the service life caused by solely considering a certain reference scheme, realizing the accurate assessment of the service life of the boiler under multiple reference operating schemes, enhancing the reference value of the assessment results of the service life of the boiler, and laying a foundation for generating differentiated operation and maintenance management strategies for the boiler.

[0017] A further technical solution is that the historical operating data is determined according to the data reading results of the monitoring device of the power station boiler.

[0018] 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, acidic corrosion influencing factors, and oxygen corrosion influencing factors.

[0019] A further technical solution lies in that the historical data includes data of the corrosion influencing factors at different time periods.

[0020] A further technical solution lies in that the method for determining the service life of the boiler under the reference operation plan is as follows:

[0021] Based on the influence of different types of furnace tubes bursting on the normal operation of the power station boiler, determine the preset weight coefficients of the bursting probabilities of different types of furnace tubes. Based on the preset weight coefficients and the bursting probabilities of different furnace tubes in different divided time periods, determine the operation state values in different divided time periods;

[0022] Use the operation state values in different divided time periods to determine the service life of the boiler under the reference operation plan.

[0023] A further technical solution lies in that the earliest divided time period corresponding to the operation state value less than the preset state threshold is used as the service life of the boiler under the reference operation plan.

[0024] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on 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 station boiler considering furnace tube corrosion.

[0025] Other features and advantages will be described in the following specification, and, in part, will become obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0026] To make the above-mentioned objectives, features and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, the detailed description is as follows. Description of the Drawings

[0027] By referring to the drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0028] Figure 1 is a flowchart of a method for evaluating the life of a power station boiler considering furnace tube corrosion;

[0029] Figure 2 is a flowchart of a method for determining the common data range corresponding to the corrosion influencing factors;

[0030] Figure 3 is a flowchart of a method for determining the reference operation plan. Detailed Embodiments

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Like reference numerals in the figures denote like or similar structures, and thus their detailed description will be omitted.

[0032] The terms "a", "an", "the", and "said" are used to denote the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to mean an open inclusion and mean that there may be additional elements / components / etc. in addition to the listed elements / components / etc.

[0033] Example 1

[0034] To solve the above problems, according to one aspect of the present invention, as Figure 1 shown, according to one aspect of the present invention, there is provided a method for evaluating the life of a power plant boiler considering furnace tube corrosion, specifically including:

[0035] S1 Determine the historical data of the corrosion influencing factors of different furnace tubes based on the analysis results of the historical operation data of the power plant boiler. When it is determined from the analysis results of the historical data that the operating state of the power plant boiler meets the requirements, proceed to the next step;

[0036] Furthermore, the historical operation data is determined according to the data reading results of the monitoring devices of the power plant boiler.

[0037] Specifically, the corrosion influencing factors include flue gas high-temperature corrosion influencing factors, flue gas low-temperature corrosion influencing factors, alkaline corrosion influencing factors, acidic corrosion influencing factors, and oxygen corrosion influencing factors.

[0038] It should be noted that the historical data includes the data of the corrosion influencing factors at different time periods.

[0039] In one of the embodiments, determining that the operating state of the power plant boiler meets the requirements specifically includes:

[0040] Based on the analysis results of the historical data, determine the operating duration of different types of corrosion influencing factors within different data intervals;

[0041] Determine the associated corrosion influencing factors of different types of furnace tubes, and based on the operating duration of different associated corrosion influencing factors within different data intervals, determine the current burst probability of different types of furnace tubes;

[0042] Based on the influence of different types of furnace tubes bursting on the normal operation of a power station boiler, determine the preset weight coefficients of the bursting probabilities of different types of furnace tubes. Determine the operating state value of the power station boiler through the weighted sum of the preset weight coefficients and the current bursting probability, and determine whether the operating state of the power station boiler meets the requirements based on the operating state value.

[0043] Furthermore, when the operating state value of the power station boiler is within the preset state value range, it is determined that the operating state of the power station boiler meets the requirements.

[0044] It can be understood that when the operating state of the power station boiler does not meet the requirements, the service life of the boiler is determined using the preset service life.

[0045] In addition, it should be further explained that determining that the operating state of the power station boiler meets the requirements specifically includes:

[0046] S11 Based on the operating durations of different corrosion influencing factors in different data intervals, determine the corrosion influencing factors of different corrosion influencing factors.

[0047] Optionally, the above step S11 includes the following content:

[0048] Based on the operating durations of different corrosion influencing factors in different data intervals, determine the corrosion influencing factors of different corrosion influencing factors, and determine whether there are any corrosion influencing factors whose corrosion influencing factors do not meet the requirements. If so, enter step S12; if not, determine that the operating state of the power station boiler meets the requirements.

[0049] S12 Use the corrosion influencing factors whose corrosion influencing factors do not meet the requirements as abnormal influencing factors, determine the associated corrosion influencing factors of different types of furnace tubes, and based on the operating durations of different associated corrosion influencing factors in different data intervals, determine the current bursting probabilities of different types of furnace tubes.

[0050] Optionally, the above step S12 includes steps S121 - S123, specifically:

[0051] S121 Use the corrosion influencing factors whose corrosion influencing factors do not meet the requirements as abnormal influencing factors, and determine whether the number of the abnormal influencing factors is greater than the preset number of influencing factors. If so, enter the next step; if not, enter step S123.

[0052] S122 Determine the associated corrosion influencing factors of different types of furnace tubes, and determine whether there are any types of furnace tubes for which the number of associated abnormal influencing factors does not meet the requirements. If so, determine that the operating state of the power station boiler does not meet the requirements; if not, enter the next step.

[0053] Based on the operation duration of S123 under different associated corrosion influencing factors in different data intervals, determine the current burst probability of different types of furnace tubes, and judge whether the type of furnace tubes with the current burst probability not meeting the requirements is greater than the preset type quantity. If so, determine that the operation state of the power station boiler does not meet the requirements; if not, proceed to step S13.

[0054] S13 Based on the influence of different types of furnace tubes bursting on the normal operation of the power station boiler, determine the preset weight coefficients of the burst probabilities of different types of furnace tubes, determine the operation state value of the power station boiler through the weighted sum of the preset weight coefficients and the current burst probability, and determine whether the operation state of the power station boiler meets the requirements through the operation state value.

[0055] S2 Based on the distribution data of the operation periods of the corrosion influencing factors in different data intervals, determine the common data interval corresponding to the corrosion influencing factor and the operation probability of the common data interval;

[0056] Further, the distribution data of the operation periods includes the data intervals where the corrosion influencing factors are located in different operation periods and the historical dates where different operation periods are located.

[0057] Specifically, as Figure 2 shown, the method for determining the common data interval corresponding to the corrosion influencing factor is:

[0058] Based on the distribution data of the operation periods of the corrosion influencing factors in different data intervals, determine the operation periods in the data intervals and use them as the matching operation periods;

[0059] Take the historical dates with matching operation periods as the matching historical dates, and determine the date quantity proportion of different data intervals through the proportion of the number of matching historical dates;

[0060] Determine the matching operation probabilities in different matching historical dates based on the proportion of the number of matching operation periods of different matching historical dates, and determine the operation probabilities of different data intervals through the product of the average value of the matching operation probabilities of different matching historical dates and the date quantity proportion, and use the operation probabilities to determine the common data interval.

[0061] It can be understood that the data interval with the operation probability greater than the preset probability threshold is used as the common data interval corresponding to the corrosion influencing factor.

[0062] In addition, it should be further explained that the method for determining the common data interval corresponding to the corrosion influencing factor is:

[0063] S21 is based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals;

[0064] Optionally, the above step S21 includes the following content:

[0065] Based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals, determine whether there is a corresponding operation time period in the data interval. If so, go to step S22; if not, determine that the data interval does not belong to the common data interval corresponding to the corrosion influencing factor.

[0066] S22 takes the operation time period in the data interval as the matching operation time period, takes the historical dates with the matching operation time periods as the matching historical dates, determines the proportion of the date quantities of different data intervals through the proportion of the number of the matching historical dates, and determines the matching operation probabilities in different matching historical dates through the proportion of the number of the matching operation time periods of different matching historical dates;

[0067] Optionally, the above step S22 includes steps S221 - S223, specifically:

[0068] S221 takes the operation time period in the data interval as the matching operation time period, and determines whether the number of the matching operation time periods is less than the preset time period quantity. If so, go to the next step; if not, go to step S23;

[0069] S222 takes the historical dates with the matching operation time periods as the matching historical dates, determines the proportion of the date quantities of different data intervals through the proportion of the number of the matching historical dates, and determines whether the proportion of the date quantity of the data interval is less than the preset quantity proportion. If so, determine that the data interval does not belong to the common data interval corresponding to the corrosion influencing factor; if not, go to the next step;

[0070] S223 determines the matching operation probabilities in different matching historical dates through the proportion of the number of the matching operation time periods of different matching historical dates, and determines whether there is a matching historical date with a matching operation probability greater than the preset operation probability threshold. If so, go to step S23; if not, determine that the data interval does not belong to the common data interval corresponding to the corrosion influencing factor;

[0071] S23 determines the operation probabilities of different data intervals through the product of the average value of the matching operation probabilities of different matching historical dates and the proportion of the date quantities, and uses the operation probabilities to determine the common data intervals.

[0072] S3 freely combines the common data intervals corresponding to different types of corrosion influencing factors to obtain multiple operation plans, and determines the reference operation plan and the occurrence probability of the reference operation plan in the operation plan based on the operation probability of the common data interval corresponding to the corrosion influencing factors under different operation plans and the corrosion influence of the corrosion influencing factors on the furnace tubes;

[0073] Furthermore, obtaining multiple operation plans specifically includes:

[0074] Taking the common data intervals corresponding to different types of corrosion influencing factors as basic data, freely combining the basic data of different corrosion influencing factors to obtain multiple operation plans.

[0075] It can be understood that the corrosion influence of the corrosion influencing factors on the furnace tubes is determined according to the corrosion depth of the furnace tubes by the corrosion influencing factors within a preset time period.

[0076] Specifically, as Figure 3 shown, the method for determining the reference operation plan is:

[0077] Based on the operation probability of the common data interval corresponding to the corrosion influencing factors under the operation plan, determine the occurrence probability under the operation plan;

[0078] Determine the associated corrosion influencing factors of different types of furnace tubes, and use the common data intervals where different associated corrosion influencing factors are located to determine the corrosion influence coefficients of different types of furnace tubes under the operation plan. Determine the operation reliability coefficients of the boilers under different operation plans through the corrosion influence coefficients of different types of furnace tubes under the operation plan;

[0079] Determine the reference demand coefficient under the operation plan through the product of the occurrence probability and the operation reliability coefficient of the boiler under the operation plan, and use the reference demand coefficient to determine whether the operation plan is a reference operation plan.

[0080] Furthermore, when the reference demand coefficient under the operation plan is greater than the preset demand coefficient threshold, it is determined that the operation plan belongs to the reference operation plan.

[0081] In addition, it should be further explained that the method for determining the reference operation plan is:

[0082] S31 Based on the operation probability of the common data interval corresponding to the corrosion influencing factors under the operation plan, determine the occurrence probability under the operation plan;

[0083] S32 Determine the associated corrosion influencing factors for different types of furnace tubes, and use the common data ranges where the different associated corrosion influencing factors are located to determine the corrosion influence coefficients for different types of furnace tubes under the operating scheme. Determine the operating reliability coefficient of the boiler under different operating schemes based on the corrosion influence coefficients of different types of furnace tubes under the operating scheme;

[0084] S33 Determine the reference demand coefficient under the operating scheme by multiplying the occurrence probability under the operating scheme by the operating reliability coefficient of the boiler, and use the reference demand coefficient to determine whether the operating scheme is a reference operating scheme.

[0085] Further, the occurrence probability of the reference operating scheme is determined based on the product of the operating probabilities of the common data ranges corresponding to the corrosion influencing factors under the reference operating scheme.

[0086] S4 Based on historical data and combined with the common data ranges corresponding to the corrosion influencing factors under the reference operating scheme, determine the bursting probabilities of different furnace tubes in different future divided time periods. Use the bursting probabilities of different furnace tubes in different divided time periods to determine the service life of the boiler and the corresponding occurrence probabilities under different reference operating schemes.

[0087] It can be understood that the method for determining the bursting probability is as follows:

[0088] Based on the analysis results of the historical data, determine the operating durations of different types of corrosion influencing factors in different data ranges, and combined with the common data ranges corresponding to the corrosion influencing factors under the reference operating scheme, determine the corresponding operating durations of different types of corrosion influencing factors in different data ranges in different divided time periods;

[0089] Based on the corresponding operating durations of different types of corrosion influencing factors in different data ranges in different divided time periods as input quantities, and based on a pre-trained AI model, determine the bursting probabilities of the furnace tubes in different divided time periods.

[0090] Further, the value range of the bursting probability of the furnace tube is between 0 and 1, where the greater the bursting probability of the furnace tube, the lower the probability of the furnace tube bursting.

[0091] Specifically, the method for determining the service life of the boiler under the reference operating scheme is as follows:

[0092] Based on the influence of different types of furnace tubes bursting on the normal operation of the power station boiler, determine the preset weight coefficients of the bursting probabilities of different types of furnace tubes. Based on the preset weight coefficients and the bursting probabilities of different furnace tubes in different divided time periods, determine the operating state values in different divided time periods;

[0093] Determine the service life of the boiler under the reference operation plan by using the operation state values in different divided time periods.

[0094] It should be noted that the earliest divided time period corresponding to the operation state value less than the preset state threshold is used as the service life of the boiler under the reference operation plan.

[0095] Embodiment 2

[0096] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein: when the processor runs the computer program, it executes the above-mentioned method for evaluating the life of a power station boiler considering furnace tube corrosion.

[0097] Optionally, the above step S31 includes steps S311-S312, specifically:

[0098] S311 determines whether there is a corrosion influencing factor with an operation probability greater than the preset probability limit value according to the operation probability of the common data interval corresponding to the corrosion influencing factor under the operation plan. If so, proceed to the next step; if not, determine that the operation plan does not belong to the reference operation plan.

[0099] S312 determines the occurrence probability under the operation plan according to the operation probability of the common data interval corresponding to the corrosion influencing factor under the operation plan, and judges whether the occurrence probability under the operation plan is within the preset occurrence probability interval. If so, determine that the operation plan belongs to the reference operation plan; if not, proceed to step S32.

[0100] Optionally, the above step S32 includes steps S321-S323, specifically:

[0101] S321 judges whether the occurrence probability under the operation plan is greater than the preset occurrence probability threshold. If so, proceed to the next step; if not, proceed to step S33.

[0102] S322 determines the corrosion influencing factors associated with different types of furnace tubes, and uses the common data intervals where different associated corrosion influencing factors are located to determine the corrosion influence coefficients of different types of furnace tubes under the operation plan, and judges whether there are furnace tubes with corrosion influence coefficients not meeting the requirements. If so, determine that the operation plan belongs to the reference operation plan; if not, proceed to the next step.

[0103] S323 determines the operation reliability coefficient of the boiler under different operation scenarios through the corrosion influence coefficients of different types of furnace tubes under the said operation scenario, and judges whether the operation reliability coefficient of the boiler under the said operation scenario meets the requirements. If so, it proceeds to step S33; if not, it determines that the said operation scenario belongs to the reference operation scenario.

[0104] Each embodiment in this specification is described in a progressive manner. For the parts that are the same or similar among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of devices, equipment, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0105] The specific embodiments of this specification are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0106] The above description is only for one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, there can be various modifications and changes to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for evaluating the life of a utility boiler considering furnace tube corrosion, characterized in that Specifically, it includes: Determine the historical data of the corrosion influencing factors of different furnace tubes based on the analysis results of the historical operation data of the power station boiler. When it is determined from the analysis results of the historical data that the operation status of the power station boiler meets the requirements, proceed to the next step; Based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals, determine the common data intervals corresponding to the corrosion influencing factors and the operation probabilities of the common data intervals; Freely combine the common data intervals corresponding to different types of corrosion influencing factors to obtain multiple sets of operation plans. Determine the reference operation plan in the operation plan and the occurrence probability of the reference operation plan based on the operation probabilities 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 tubes; Based on the historical data and in combination with the common data intervals corresponding to the corrosion influencing factors under the reference operation plan, determine the burst probabilities of different furnace tubes in different future divided time periods. Use the burst probabilities of different furnace tubes in different divided time periods to determine the service life of the boiler and the corresponding occurrence probabilities under different reference operation plans; Determine that the operation status of the power station boiler meets the requirements, specifically including: Based on the analysis results of the historical data, determine the operation durations of different types of corrosion influencing factors in different data intervals; Determine the corrosion influencing factors associated with different types of furnace tubes. Based on the operation durations of different associated corrosion influencing factors in different data intervals, determine the current burst probabilities of different types of furnace tubes; Based on the influence of the burst of different types of furnace tubes on the normal operation of the power station boiler, determine the preset weight coefficients of the burst probabilities of different types of furnace tubes. Determine the operation status value of the power station boiler through the weighted sum of the preset weight coefficients and the current burst probabilities, and determine whether the operation status of the power station boiler meets the requirements through the operation status value; When the operation status value of the power station boiler is within the preset status value range, it is determined that the operation status of the power station boiler meets the requirements; When the operation status of the power station boiler does not meet the requirements, use the preset service life to determine the service life of the boiler; The method for determining the common data intervals corresponding to the corrosion influencing factors is: Based on the distribution data of the operation time periods of the corrosion influencing factors in different data intervals, determine the operation time periods in the data intervals and use them as the matching operation time periods; Take the historical dates with matching operation time periods as the matching historical dates, and determine the date quantity ratio of different data intervals through the proportion of the number of matching historical dates; Determine the matching operation probabilities in different matching historical dates based on the proportion of the number of matching operation time periods in different matching historical dates, and determine the operation probabilities of different data intervals through the product of the average value of the matching operation probabilities in different matching historical dates and the date quantity ratio. Use the operation probabilities to determine the common data intervals; The method for determining the service life of the boiler under the reference operation plan is: Based on the influence of different types of furnace tubes bursting on the normal operation of a power station boiler, determine the preset weight coefficients of the bursting probabilities of different types of furnace tubes. Based on the preset weight coefficients and the bursting probabilities of different furnace tubes in different divided time periods, determine the operation status values in different divided time periods; Use the operation status values in different divided time periods to determine the service life of the boiler under the reference operation plan.

2. The method for evaluating the service life of a utility boiler considering furnace tube corrosion according to claim 1, wherein, The historical operation data is determined according to the data reading results of the monitoring device of the power station boiler.

3. The method for evaluating the service life of a power station boiler considering furnace tube corrosion as described in claim 1, wherein The corrosion influencing factors include high-temperature flue gas corrosion influencing factors, low-temperature flue gas corrosion influencing factors, alkaline corrosion influencing factors, acidic corrosion influencing factors, and oxygen corrosion influencing factors.

4. The method for evaluating the service life of a utility boiler considering furnace tube corrosion according to claim 1, wherein The distribution data of the operation time periods includes the data intervals where the corrosion influencing factors are located in different operation time periods and the historical dates when different operation time periods are located.

5. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a method for evaluating the life of a power station boiler considering furnace tube corrosion according to any one of claims 1-4.

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