Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
in order to solve the technical problems, the invention provides a method for realizing the purpose of the invention, which adopts the following technical scheme:
according to one aspect of the invention, a utility boiler life assessment method is provided that considers furnace tube corrosion.
A service life evaluation method of a power station boiler considering furnace tube corrosion specifically comprises the following steps:
S1, determining historical data of corrosion influence factors of different furnace tubes by using analysis results of historical operation data of a power station boiler, and entering a next step when the operation state of the power station boiler is determined to meet the requirement according to the analysis results of the historical data;
S2, determining a common data interval corresponding to the corrosion influence factors and the operation probability of the common data interval based on the distribution data of the operation time periods of the corrosion influence factors in different data intervals;
s3, freely combining common data intervals corresponding to different types of corrosion influence factors to obtain a plurality of groups of operation schemes, and determining a reference operation scheme in the operation schemes and the occurrence probability of the reference operation scheme according to the operation probability of the common data intervals corresponding to the corrosion influence factors under different operation schemes and the corrosion influence condition of the corrosion influence factors on the furnace tube;
s4, based on historical data and combined with a common data interval corresponding to corrosion influence factors under the reference operation scheme, determining the tube explosion probability of different furnace tubes in different future division periods, and determining the service life and the corresponding occurrence probability of the boiler under different reference operation schemes by utilizing the tube explosion probability of different furnace tubes in different division periods.
The invention has the beneficial effects that:
1. According to the method, the reference operation scheme in the operation scheme is carried out according to the operation probability of the common data interval corresponding to the corrosion influence factors under different operation schemes and the corrosion influence condition of the corrosion influence factors on the furnace tube, the occurrence probability of the corrosion influence factors under different operation schemes is considered, meanwhile, the corrosion influence condition of the furnace tube under the common data interval is considered, the determination of the reference operation scheme with high occurrence probability and high corrosion influence is realized, and a foundation is laid for the evaluation of the service life under different reference operation schemes.
2. The service life of the boiler under different reference operation schemes is determined by utilizing the tube explosion probabilities of different furnace tubes in different division periods, the technical problem that the service life assessment result caused by a certain reference scheme is inaccurate is avoided, the service life of the boiler under a plurality of reference operation schemes is accurately assessed, the reference value of the service life assessment result of the boiler is improved, and a foundation is laid for generating a differentiated operation and maintenance management strategy of the boiler.
The further technical scheme is that the historical operation data are determined according to the data reading result of the monitoring device of the power station boiler.
The further technical scheme is that the corrosion influencing factors comprise a flue gas high-temperature corrosion influencing factor, a flue gas low-temperature corrosion influencing factor, an alkaline corrosion influencing factor, an acid corrosion influencing factor and an oxygen corrosion influencing factor.
A further technical solution is that the historical data comprise data of the corrosion influencing factors in different time periods.
The further technical scheme is that the method for determining the service life of the boiler under the reference operation scheme comprises the following steps:
Determining preset weight coefficients of the tube explosion probability of the different types of furnace tubes based on the influence conditions of the different types of furnace tubes on the normal operation of the power station boiler when tube explosion occurs, and determining operation state values in different division periods by taking the preset weight coefficients and the tube explosion probability of the different furnace tubes in the different division periods as the basis;
The operating state values in the different divided time periods are used to determine the service life of the boiler under the reference operating scheme.
The further technical scheme is that the earliest divided period corresponding to the running state value smaller than the preset state threshold value is used as the service life of the boiler under the reference running scheme.
In a second aspect, the invention provides a computer system comprising a memory and a processor which are in communication connection, and a computer program which is stored on the memory and can run on the processor, wherein the computer program is run by the processor to execute the power station boiler life evaluation method considering furnace corrosion.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus detailed descriptions thereof will be omitted.
The terms "a," "an," "the," "said" are used to indicate the presence of one or more elements/components/etc., the terms "comprising" and "having" are intended to mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.
Example 1
In order to solve the above problems, according to one aspect of the present invention, as shown in fig. 1, there is provided a service life evaluation method of a utility boiler, which considers corrosion of a furnace tube, according to one aspect of the present invention, comprising:
S1, determining historical data of corrosion influence factors of different furnace tubes by using analysis results of historical operation data of a power station boiler, and entering a next step when the operation state of the power station boiler is determined to meet the requirement according to the analysis results of the historical data;
Further, the historical operation data is determined according to the data reading result of the monitoring device of the power station boiler.
Specifically, the corrosion influencing factors comprise a flue gas high temperature corrosion influencing factor, a flue gas low temperature corrosion influencing factor, an alkaline corrosion influencing factor, an acid corrosion influencing factor and an oxygen corrosion influencing factor.
The historical data includes data of the corrosion influencing factors in different time periods.
In one embodiment, determining that the operating state of the utility boiler meets the requirements specifically includes:
determining the operation time length of different types of corrosion influence factors in different data intervals according to the analysis result of the historical data;
determining associated corrosion influence factors of different types of furnace tubes, and determining the current tube explosion probability of the different types of furnace tubes based on the operation time of the different associated corrosion influence factors in different data intervals;
Based on the influence condition of the explosion of the furnace tubes of different types on the normal operation of the power station boiler, determining preset weight coefficients of the explosion probability of the furnace tubes of different types, determining the operation state value of the power station boiler through the weight sum of the preset weight coefficients and the current explosion probability, and determining whether the operation state of the power station boiler meets the requirement or not through the operation state value.
Further, when the operation state value of the power station boiler is within the preset state value range, determining that the operation state of the power station boiler meets the requirement.
It will be appreciated that when the operating conditions of the utility boiler do not meet the requirements, the service life of the boiler is determined using a preset service life.
In addition, it is further described that determining that the operation state of the utility boiler meets the requirement specifically includes:
S11, determining corrosion influence factors of different corrosion influence factors based on the operation time of the different corrosion influence factors in different data intervals;
Optionally, the step S11 includes the following:
and determining corrosion influence factors of different corrosion influence factors based on the operation time of the different corrosion influence factors in different data intervals, judging whether the corrosion influence factors which do not meet the requirements exist or not, if so, entering a step S12, and if not, determining that the operation state of the power station boiler meets the requirements.
S12, determining associated corrosion influence factors of different types of furnace tubes by taking the corrosion influence factors which do not meet the requirements as abnormal influence factors, and determining the current tube explosion probability of the different types of furnace tubes based on the operation time of the different associated corrosion influence factors in different data intervals;
Optionally, the step S12 includes steps S121 to S123, specifically:
s121, taking corrosion influence factors which do not meet the requirement of the corrosion influence factors as abnormal influence factors, judging whether the number of the abnormal influence factors is larger than the number of preset influence factors, if so, entering the next step, and if not, entering the step S123;
S122, determining associated corrosion influence factors of furnace tubes of different types, judging whether the types of the furnace tubes with the number of the associated abnormal influence factors not meeting the requirements exist, if so, determining that the running state of the power station boiler does not meet the requirements, and if not, entering the next step;
S123, determining the current tube explosion probability of different types of furnace tubes based on the operation time of different associated corrosion influence factors in different data intervals, judging whether the type of the furnace tube which does not meet the requirement of the current tube explosion probability is larger than the number of preset types, if so, determining that the operation state of the power station boiler does not meet the requirement, and if not, entering step S13.
S13, determining preset weight coefficients of tube explosion probabilities of different types of furnace tubes based on the influence conditions of the different types of furnace tubes on the normal operation of the power station boiler when tube explosion occurs, determining the operation state value of the power station boiler through the weight sum of the preset weight coefficients and the current tube explosion probability, and determining whether the operation state of the power station boiler meets the requirement or not through the operation state value.
S2, determining a common data interval corresponding to the corrosion influence factors and the operation probability of the common data interval based on the distribution data of the operation time periods of the corrosion influence factors in different data intervals;
Further, the distribution data of the operation time periods comprises data intervals in which corrosion influence factors of different operation time periods are located and historical dates in which different operation time periods are located.
Specifically, as shown in fig. 2, the method for determining the common data interval corresponding to the corrosion influence factor includes:
determining the operation time period in the data interval based on the distribution data of the operation time period of the corrosion influence factors in different data intervals, and taking the operation time period as a matched operation time period;
taking the history date with the matched operation time period as a matched history date, and determining the date quantity duty ratio of different data intervals according to the quantity duty ratio of the matched history date;
And determining the matching operation probabilities of different matching historical dates according to the number proportion of the matching operation time periods of different matching historical dates, determining the operation probabilities of different data intervals according to the product of the average value of the matching operation probabilities of different matching historical dates and the number proportion of the dates, and determining the common data intervals by using the operation probabilities.
It can be understood that the data interval with the running probability larger than the preset probability threshold is taken as the common data interval corresponding to the corrosion influence factor.
In addition, it should be further described that the method for determining the common data interval corresponding to the corrosion influence factor includes:
S21, based on the distribution data of the operation time periods of the corrosion influence factors in different data intervals;
Optionally, the step S21 includes the following:
Based on the distribution data of the operation time periods of the corrosion influence factors in different data intervals, determining whether the corresponding operation time periods exist in the data intervals, if so, entering step S22, and if not, determining that the data intervals do not belong to the common data intervals corresponding to the corrosion influence factors.
S22, taking an operation time period in the data interval as a matching operation time period, taking a history date with the matching operation time period as a matching history date, determining the number of dates of different data intervals according to the number of the matching history dates, and determining the matching operation probability of different matching history dates according to the number of the matching operation time periods with different matching history dates;
Optionally, the step S22 includes steps S221 to S223, specifically:
S221, taking the operation time periods in the data interval as the matched operation time periods, judging whether the number of the matched operation time periods is smaller than the preset time period number, if so, entering the next step, and if not, entering the step S23;
S222, taking a historical date with a matched operation period as a matched historical date, determining the date number proportion of different data intervals according to the number proportion of the matched historical date, judging whether the date number proportion of the data intervals is smaller than a preset number proportion, if so, determining that the data intervals do not belong to common data intervals corresponding to the corrosion influence factors, and if not, entering the next step;
S223, determining the matching operation probability of different matching history dates according to the quantity proportion of the matching operation time periods of different matching history dates, judging whether the matching history dates with the matching operation probability larger than a preset operation probability threshold exist or not, if yes, entering a step S23, and if not, determining that the data interval does not belong to a common data interval corresponding to the corrosion influence factor;
S23, determining the running probabilities of different data intervals by the product of the average value of the matching running probabilities of different matching historical dates and the date quantity ratio, and determining the common data intervals by using the running probabilities.
S3, freely combining common data intervals corresponding to different types of corrosion influence factors to obtain a plurality of groups of operation schemes, and determining a reference operation scheme in the operation schemes and the occurrence probability of the reference operation scheme according to the operation probability of the common data intervals corresponding to the corrosion influence factors under different operation schemes and the corrosion influence condition of the corrosion influence factors on the furnace tube;
Further, obtaining a plurality of groups of operation schemes specifically includes:
and taking common data intervals corresponding to different types of corrosion influence factors as basic data, and freely combining the basic data of different corrosion influence factors to obtain a plurality of groups of operation schemes.
It is understood that the corrosion influence condition of the corrosion influence factor on the furnace tube is determined according to the corrosion influence factor, and the corrosion depth of the furnace tube is determined within a preset time period.
Specifically, as shown in fig. 3, the method for determining the reference operation scheme is as follows:
determining the occurrence probability under the operation scheme according to the operation probability of the common data interval corresponding to the corrosion influence factor under the operation scheme;
Determining associated corrosion influence factors of different types of furnace tubes, determining corrosion influence coefficients of different types of furnace tubes under the operation scheme by using common data intervals where the different associated corrosion influence factors are located, and determining operation reliability coefficients of the boiler under different operation schemes by using the corrosion influence coefficients of different types of furnace tubes under the operation scheme;
And determining a reference demand coefficient under the operation scheme according to the product of the occurrence probability under the operation scheme and the operation reliability coefficient of the boiler, and determining whether the operation scheme is a reference operation scheme or not by utilizing the reference demand coefficient.
Further, when the reference demand coefficient under the operation scheme is greater than a preset demand coefficient threshold, it is determined that the operation scheme belongs to the reference operation scheme.
It should be further noted that the method for determining the reference operation scheme is as follows:
S31, determining the occurrence probability under the operation scheme based on the operation probability of the common data interval corresponding to the corrosion influence factor under the operation scheme;
S32, determining associated corrosion influence factors of different types of furnace tubes, determining corrosion influence coefficients of different types of furnace tubes under the operation scheme by using common data intervals where the different associated corrosion influence factors are located, and determining operation reliability coefficients of the boiler under different operation schemes by using the corrosion influence coefficients of different types of furnace tubes under the operation scheme;
S33, determining a reference demand coefficient under the operation scheme according to the product of the occurrence probability under the operation scheme and the operation reliability coefficient of the boiler, and determining whether the operation scheme is the reference operation scheme or not by utilizing the reference demand coefficient.
Further, the occurrence probability of the reference operation scheme is determined according to the product of the operation probabilities of the common data interval corresponding to the corrosion influence factors under the reference operation scheme.
S4, based on historical data and combined with a common data interval corresponding to corrosion influence factors under the reference operation scheme, determining the tube explosion probability of different furnace tubes in different future division periods, and determining the service life and the corresponding occurrence probability of the boiler under different reference operation schemes by utilizing the tube explosion probability of different furnace tubes in different division periods.
It can be understood that the method for determining the tube explosion probability comprises the following steps:
Determining the operation time length of different types of corrosion influence factors in different data intervals according to the analysis result of the historical data, and determining the corresponding operation time length of different types of corrosion influence factors in different data intervals in different dividing periods by combining the common data intervals corresponding to the corrosion influence factors under the reference operation scheme;
Based on corresponding operation time lengths of different types of corrosion influence factors in different data intervals in different dividing periods as input quantity, determining the tube explosion probability of the furnace tube in different dividing periods based on the AI model which is trained in advance.
Further, the value range of the tube explosion probability of the furnace tube is between 0 and 1, wherein the larger the tube explosion probability of the furnace tube is, the lower the tube explosion probability of the furnace tube is.
Specifically, the method for determining the service life of the boiler under the reference operation scheme comprises the following steps:
Determining preset weight coefficients of the tube explosion probability of the different types of furnace tubes based on the influence conditions of the different types of furnace tubes on the normal operation of the power station boiler when tube explosion occurs, and determining operation state values in different division periods by taking the preset weight coefficients and the tube explosion probability of the different furnace tubes in the different division periods as the basis;
The operating state values in the different divided time periods are used to determine the service life of the boiler under the reference operating scheme.
It should be noted that, the earliest divided period corresponding to the running state value smaller than the preset state threshold is used as the service life of the boiler under the reference running scheme.
Example 2
In a second aspect, the invention provides a computer system comprising a memory and a processor which are in communication connection, and a computer program which is stored on the memory and can run on the processor, wherein the computer program is run by the processor to execute the power station boiler life evaluation method considering furnace corrosion.
Optionally, the step S31 includes steps S311 to S312, specifically:
s311, determining whether corrosion influence factors with the operation probability larger than a preset probability limit value exist according to the operation probability of the common data interval corresponding to the corrosion influence factors under the operation scheme, if so, entering the next step, and if not, determining that the operation scheme does not belong to a reference operation scheme;
S312, based on the operation probability of the common data interval corresponding to the corrosion influence factor under the operation scheme, determining the occurrence probability under the operation scheme, judging whether the occurrence probability under the operation scheme is within a preset occurrence probability interval, if so, determining that the operation scheme belongs to a reference operation scheme, and if not, entering step S32.
Optionally, the step S32 includes steps S321 to S323, specifically:
S321, judging whether the occurrence probability under the operation scheme is larger than a preset occurrence probability threshold, if so, entering the next step, and if not, entering the step S33;
S322, determining associated corrosion influence factors of different types of furnace tubes, determining corrosion influence coefficients of the different types of furnace tubes under the operation scheme by using common data intervals where the different associated corrosion influence factors are located, judging whether the furnace tubes with the corrosion influence coefficients not meeting the requirements exist, if so, determining that the operation scheme belongs to a reference operation scheme, and if not, entering the next step;
s323 confirms the operation reliability coefficient of the boiler under different operation schemes through the corrosion influence coefficient of the boiler tubes of different types under the operation schemes, judges whether the operation reliability coefficient of the boiler under the operation schemes meets the requirement, if yes, step S33 is entered, if not, the operation scheme is confirmed to belong to the reference operation scheme.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.