CN113449395A - Subcritical boiler drum downcomer and tube seat state evaluation method based on off-line inspection - Google Patents

Subcritical boiler drum downcomer and tube seat state evaluation method based on off-line inspection Download PDF

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CN113449395A
CN113449395A CN202110773385.5A CN202110773385A CN113449395A CN 113449395 A CN113449395 A CN 113449395A CN 202110773385 A CN202110773385 A CN 202110773385A CN 113449395 A CN113449395 A CN 113449395A
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CN113449395B (en
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王大鹏
杜保华
吴智群
黄廷辉
何新
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Xian Thermal Power Research Institute Co Ltd
Xian TPRI Power Station Information Technology Co Ltd
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Xian TPRI Power Station Information Technology Co Ltd
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Abstract

A subcritical boiler drum downcomer and tube seat state assessment method based on off-line inspection comprises the following steps; 1) defining an evaluation object and basic information; 2) defining detailed evaluation points; 3) clearly evaluating the specific stage of the full operation life cycle of the object; 4) calculating a state factor; 5) calculating a correction factor; 6) an off-line inspection scheme is formulated and implemented; 7) obtaining an off-line inspection result; 8) evaluating the dot state; 9) evaluating the state of an evaluation object; 10) and archiving and feeding back the evaluation result. The invention can help technical boilers or metal professionals in thermal power plants to make maintenance strategies better.

Description

Subcritical boiler drum downcomer and tube seat state evaluation method based on off-line inspection
Technical Field
The invention belongs to the technical field of state evaluation of equipment of a thermal power plant, and particularly relates to a state evaluation method of a subcritical boiler drum downcomer and a pipe seat based on off-line inspection.
Background
The boiler barrel is an important part of a subcritical unit of a thermal power plant. In the face of increasingly severe external environments, the subcritical unit is gradually transformed flexibly, participates in deep peak regulation and is in a severe operating condition in the operating process. Frequent start-stops and varying loads can result in frequently alternating thermal and mechanical stresses in the drum, particularly stresses at the corner points in the downcomer which are usually greatest. In addition, the welding seam area between the down pipe of the boiler barrel and the barrel is a fatigue crack area, and is influenced by factors such as welding level, environment and the like, so that larger residual stress of the welding seam can be generated, and the generation of the welding seam crack is easily caused by the larger stress after the superposition of the mechanical stress and the thermal stress. In addition, since the drum downcomer is located outside the top of the boiler, if a leakage accident occurs, it is easy to cause significant personal safety and economic loss, so it is necessary to perform accurate state evaluation on the subcritical boiler drum downcomer and tube seats.
Aiming at subcritical boiler drum downcomer and tube seat, only the literature reports that finite element software ANSYS is adopted to simulate the stress state of the drum downcomer, a blind hole method is adopted to test the residual stress of different areas of a downcomer welding seam area on site and the total stress is superposed and analyzed, and the problems of crack of the boiler drum downcomer welding seam area are comprehensively researched, namely, the electric power and the energy are 2018, (6). Besides, the state analysis or life evaluation of the down pipes and pipe seats of the boiler barrel is only rarely reported.
Whether stress analysis or life loss calculation is performed, the following conditions are required: the evaluation personnel is required to have abundant basic knowledge of mathematical analysis, basic knowledge of metal materials, mechanical calculation knowledge, life evaluation knowledge and experience; collecting complete design data and design data; collecting complete operation history data; complete and comprehensive offline inspection related data needs to be collected; constructing a stress field model and a temperature field model; comprehensive laboratory analysis data on samples of the same material are required as a reference group and the like. These complex conditions determine that the development of stress analysis, life loss calculation and other techniques is limited to professional technical organizations and personnel, and the collection, complete and comprehensive off-line inspection and laboratory analysis of these basic data and data can result in the increase of overhaul cost and labor cost of the power plant.
Therefore, a universal method is needed to be found, evaluators do not need to have abundant basic knowledge of mathematical analysis, basic knowledge of metal materials, knowledge of mechanical calculation, knowledge and experience of service life evaluation, extra cost of test cost is not needed, and the states of the subcritical boiler drum downcomer and the tube seat can be evaluated only by obtaining existing offline inspection data, so that technicians of a thermal power plant are directly helped to make maintenance strategies.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide a subcritical boiler drum downcomer and tube seat state evaluation method based on off-line inspection, which helps technical boilers or metal professionals in a thermal power plant to make a maintenance strategy better.
In order to achieve the purpose, the technical scheme adopted by the invention and the beneficial effects of the invention are as follows:
a subcritical boiler drum downcomer and tube seat state assessment method based on off-line inspection comprises the following steps;
1) defining an evaluation object and basic information;
2) defining detailed evaluation points;
3) clearly evaluating the specific stage of the full operation life cycle of the object;
4) calculating a state factor CS；
5) Calculating a correction factor CC；
6) An off-line inspection scheme is formulated and implemented;
7) obtaining an off-line inspection result;
8) evaluating the dot state;
9) evaluating the state of an evaluation object;
10) and archiving and feeding back the evaluation result.
The evaluation objects in the step 1) are subcritical boiler drum downcomer and tube seat, and the basic information comprises a design drawing, a design diameter, a design wall thickness, a design material and a last overhaul record file;
the step 2) comprises the following specific operation steps:
comprehensively considering the maintenance plan, time, cost and maintenance results of previous times, pertinently determining a plurality of evaluation points, and dividing the evaluation points into two types: downcomer and socket, identified by the following corner marks dt and ds, respectively.
The specific operation steps of the step 3) are as follows:
clearly evaluating which stage of the early stage, the middle stage and the final stage of the full operation life cycle the object is in;
Figure BDA0003153306930000031
Figure BDA0003153306930000041
wherein L iscFor a design life, it is generally defined as the design life of the unit of 30 years.
The specific operation steps of calculating the state factor in the step 4) are as follows:
determining a corresponding state factor C based on the full operation life cycle stage of the clear evaluation object in the step 3)S；
Full operating life cycleAt each stage State factor CS
Early stage 1+s
Middle stage 1
End stage 1+5s
Wherein the value of s is looked up according to the following table based on the design and manufacturing data collected in step 1).
Figure BDA0003153306930000042
The specific operation steps of calculating the correction factor in the step 5) are as follows:
searching feedback of the last evaluation result of the evaluation object based on the last overhaul record file collected from the step 1), and determining a correction factor C according to the formula (1)C；
Figure BDA0003153306930000043
In the formula, the values of the parameters δ and c are found in the following table.
Figure BDA0003153306930000051
The step 6) comprises the following specific operation steps:
and (3) comprehensively considering the maintenance plan, time, cost and maintenance results of previous times, and selecting proper items from the macroscopic inspection, the surface inspection, the nondestructive inspection, the metallographic inspection, the outer diameter measurement, the hardness inspection and the wall thickness measurement to make an offline inspection scheme aiming at the evaluation point determined in the step 2) and implementing the offline inspection scheme.
The specific operation steps of the step 7) are as follows:
and 6) acquiring each off-line inspection result of the evaluation point according to the off-line inspection items determined in the step 6), dividing the state parameters into two categories according to the off-line inspection results, and confirming the state parameters CP and the weight Q corresponding to each off-line inspection item of each evaluation point.
Figure BDA0003153306930000052
Figure BDA0003153306930000061
The step 8) comprises the following specific operation steps:
performing state evaluation on the single evaluation point according to the off-line inspection result obtained in the step 7), and defining the state of the single evaluation point as CkThe evaluation model is shown as formula (2);
Figure BDA0003153306930000062
state C of evaluation pointkThe value of (A) normally falls within [0,5 ]]Within the interval, when CkThe state of the evaluation point becomes worse and worse when the value of (2) is changed from 0 to 5.
Weight Q of two types of state parameters in the formula (2)Oi、QTiGiving the rule of formula (3);
Figure BDA0003153306930000063
the specific operation steps in the step 9) are as follows:
counting all the evaluation points obtained in the step 8) according to the classification of the downcomer and the tube seat (the lower corner marks are dt and ds respectively), counting the number m of the downcomer evaluation points and the number n of the tube seat evaluation points, and then carrying out overall evaluation on an evaluation object, wherein an evaluation model of a final state value is shown as a formula (11);
Figure BDA0003153306930000071
if the C value of the state of the evaluation object is 0, the state of the evaluation object is considered to be optimal, and when the C value changes from 0 to 5, the state of the evaluation object gradually becomes worse; when the C value is more than 3.5, the state of an evaluation object is general, but the state of a part of evaluation points is poor, so that technicians pay attention to the evaluation object, and the part of evaluation points are maintained or replaced in time; when the C value is larger than 4.25, the state of the evaluation object is poor, the state of most evaluation points is poor, and particularly when the evaluation object is in the final stage of the full operation life cycle, if the C value of the state of the evaluation object is gradually increased after continuous multiple evaluations, the poor state of the evaluation object is also verified, and the enterprise needs to make preparation for overall replacement of the evaluation object.
The specific operation steps in the step 10) are as follows:
and completely recording and archiving the state evaluation result of the evaluation object obtained in the step 9), and feeding back the state evaluation result for the next evaluation to calculate the correction factor in the step 5).
The first type state parameters in the step 8): macroscopic State parameter CPO1-kFrom the result M of the macroscopic examinationO1-k: { no defect found, a few suspected defects found, invention defect evident } definition, as shown in equation (4):
Figure BDA0003153306930000081
the first type state parameters in the step 8): surface state parameter CPO2-kResults M of surface inspectionO2-k: { no defect found, surface defect found but eliminated after sanding, surface defect found but still present after sanding } is defined as shown in equation (5):
Figure BDA0003153306930000082
the first type state parameters in the step 8): lossless State parameter CPO3-kFrom results M of non-destructive inspectionO3-k: { stage I, stage II, stage III, stage IV } definition, as shown in equation (6):
Figure BDA0003153306930000083
the first type state parameters in the step 8): tissue state parameter CPO4-kFrom results M of metallographic examinationO4-k: { level 1, level 2, level 3, level 4, level 5 } definition, as shown in equation (7):
CPO4-k＝(MO4-k+1)/5 (7)
the second type state parameters in the step 8): outer diameter state parameter CPT1-kResult M of measurement of outer diameterT1-kAs defined by formula (8):
Figure BDA0003153306930000091
in the formula (8), D0In mm for the design outer diameter; e is the ultimate creep expansion rate, unit is%, for the drum downcomer, the values of the ultimate creep expansion rate are shown in the following table:
material of Alloy steel Carbon steel
Value of e 2.5％ 3.5％
The second type state parameters in the step 8): hardness State parameter CPT2-kResults M from hardness testT2-kAs defined by formula (9):
Figure BDA0003153306930000092
the hardness in the formula (9) is Brinell hardness, HBLAnd HBHRespectively the minimum value and the maximum value of ultimate hardness, and for the down pipe of the boiler barrel, the HB of common materialLAnd HBHValues are summarized in the following table:
material of T22 T23 G102 T91 12C1MoV 15Cr1Mo …
HBL 120 150 150 180 135 115 …
HBH 163 220 220 250 179 178 …
The second type state parameters in the step 8): wall thickness State parameter CPT3-kResults M from wall thickness measurementT3-kDefinition, as shown in formula (10):
Figure BDA0003153306930000101
in the formula (10), d0For design wall thickness, units are mm.
The invention has the beneficial effects that:
according to the method, an evaluator is not required to have rich basic knowledge of metal materials, mechanics calculation knowledge, service life evaluation knowledge and experience, and extra test cost is not required to be borne, and based on conventional off-line inspection data of macroscopic inspection, surface flaw detection, nondestructive flaw detection, metallographic inspection, outer diameter measurement and hardness inspection on the subcritical boiler drum downcomer and the tube seat, the subcritical boiler drum downcomer and the tube seat are subjected to state evaluation through calibration of state factors and correction factors, so that a thermal power plant technician is directly helped to make a next maintenance strategy, if the evaluation is continuously carried out for multiple times, the state values of the subcritical boiler drum downcomer and the tube seat are gradually increased, the states are increasingly poor, and the enterprise is required to make preparation for overall replacement of an evaluation object.
Taking the results of the A repair of 600MW subcritical boiler drum downcomers and tube seats in 2020 and 03 months A as an example, the state evaluation is carried out according to the method of the invention, and the evaluation process and the final results are shown as follows.
Figure BDA0003153306930000111
Figure BDA0003153306930000112
Figure BDA0003153306930000113
Drawings
FIG. 1 is a schematic diagram of a state estimation process according to the present invention.
Detailed Description
The invention is further described in the following with reference to the accompanying drawings and examples.
As shown in fig. 1:
1) specifying evaluation target and basic information
First, the subcritical boiler drum downcomer and tube socket were evaluated explicitly.
In addition, it is necessary to collect and specify the design drawing, design diameter, design wall thickness, design material, and last repair record file of the evaluation target.
2) Unambiguous detailed evaluation points
In order to know the actual state of the evaluation object in detail, it is generally proposed to check the drop tube and the tube socket at a plurality of positions, which are also called evaluation points since the check points ultimately participate in the state evaluation. And the evaluation points are divided into two categories: downcomer and socket, identified by the following corner marks dt and ds, respectively.
3) Specific stage of full operation life cycle of definite evaluation object
The state of the evaluation object has a certain relation with the specific stage of the full operation life cycle, and the state is not good due to design and manufacturing defects and hidden danger left by installation at the early stage of the full operation life cycle. With the stable operation of the unit, the middle stage of the full operation life cycle is entered, and the evaluation object reaches the optimal state and can last for a long time. When the end stage of the full-operation life cycle is entered, under the influence of long-term peak shaving operation of the unit, the material is aged gradually and quickly, and the state of an evaluation object is degraded gradually.
Clearly evaluating which stage of the early stage, the middle stage and the final stage of the full operation life cycle the object is in;
each stage of the full operating life cycle Time ranges of the stages of the full operational life cycle
Early stage (0,0.1Lc]
Middle stage (0.1Lc,0.8Lc]
End stage (0.8Lc,Lc]
Wherein L iscFor a design life, it is generally defined as the design life of the unit of 30 years.
4) Calculating a correction factor CS
Based on 3) mineDetermining the stage of the evaluation object, and determining the corresponding correction factor CS；
Each stage of the full operating life cycle State factor CS
Early stage 1+s
Middle stage 1
End stage 1+5s
Wherein the value of s is looked up according to the following table based on the design and manufacturing data collected in 1).
Figure BDA0003153306930000131
If all indexes in the design and manufacturing data are normal and no major problems are found, the value of c is 0.01, otherwise, the evaluation personnel can adjust according to the problems found in the design and manufacturing stages and the actual conditions of the components.
5) Calculating a correction factor CC
Searching feedback of the last evaluation result of the evaluation object based on the last overhaul record file collected from the step 1), and determining a correction factor C according to the formula (1)C；
Figure BDA0003153306930000141
In the formula, the values of the parameters δ and c are found in the following table.
Figure BDA0003153306930000142
6) Developing and implementing an offline inspection plan
And (3) comprehensively considering the maintenance plan, time, cost and maintenance results of previous times, and selecting proper items from the macroscopic inspection, the surface inspection, the nondestructive inspection, the metallographic inspection, the outer diameter measurement and the hardness inspection to make an offline inspection scheme aiming at the evaluation points determined in the step 2) and implementing the offline inspection scheme.
Figure BDA0003153306930000143
7) Obtaining off-line inspection results
And 6) acquiring each off-line inspection result of the evaluation point according to the off-line inspection items determined in the step 6), dividing the state parameters into two categories according to the off-line inspection results, and confirming the state parameters CP and the weight Q corresponding to each off-line inspection item of each evaluation point.
Figure BDA0003153306930000151
8) Evaluation point state evaluation
Performing state evaluation on the single evaluation point according to the off-line inspection result obtained by 7), and defining the state of the single evaluation point as CkThe evaluation model is shown in formula (2).
Figure BDA0003153306930000161
State C of evaluation pointkThe value of (A) normally falls within [0,5 ]]Within the interval, when CkThe state of the evaluation point becomes worse and worse when the value of (2) is changed from 0 to 5.
Comprehensively considering the importance of various off-line inspection items and the implementation frequency, result accuracy and other factors, and the weight Q of the two types of state parameters in the formula (2)Ri、QNiGiving the rule of formula (3);
Figure BDA0003153306930000162
the evaluation methods for two types of state parameters at a single evaluation point are given below.
8.1) evaluation of the first-type State parameters
8.1.1) evaluation of the macroscopic State parameters corresponding to the macroscopic examination
Result of macroscopic examination MO1-kTypically one of the sets { no defect found, out-of-standard defect } corresponding to the macro state parameter CPO1-kIs as defined in formula (4).
Figure BDA0003153306930000163
8.1.2) evaluation of surface State parameters corresponding to surface inspection
Result M of surface inspectionO2-kGenerally { no defect found, surface defect found but eliminated after polishing, surface defect found but still present after polishing }, corresponding to surface condition parameter CP }O2-kIs as defined in formula (5).
Figure BDA0003153306930000171
8.1.3) non-destructive State parameter evaluation corresponding to non-destructive inspection
The non-destructive inspection items can be divided into ultrasonic, magnetic powder, penetration and ray detection, and the result M of the non-destructive inspectionO3-kGenerally defined as { I level, II level, III level and IV level }, if a plurality of nondestructive inspection projects are implemented, the nondestructive inspection result with the highest grade is selected as the nondestructive inspection result, and the corresponding nondestructive state parameter CP is selectedO3-kIs as defined in formula (6).
Figure BDA0003153306930000172
8.1.4) evaluation of nondestructive State parameters corresponding to metallographic examination
Result of metallographic examination MO4-kGenerally defined as { level 1, level 2, level 3, level 4, level 5 }, and its corresponding organization state parameter CPO4-kIs as defined in formula (7).
CPO4-k＝(MO4-k+1)/5 (7)
8.2) evaluation of the second type of State parameters
8.2.1) evaluation of the wall thickness State parameters corresponding to the outer diameter measurement
The evaluation object gradually generates outer diameter creep expansion when running under high temperature condition, and the creep expansion is easy to cause failure when severe.
Result M of outer diameter measurementT1-kCorresponding outer diameter state parameter CPT1-kIs as defined in formula (8).
Figure BDA0003153306930000181
In the formula (8), D0In mm for the design outer diameter; e is the ultimate creep expansion rate, expressed in% by unit, for the drum downcomer, the values of the ultimate creep expansion rate are shown in the following table.
Material of Alloy steel Carbon steel
Value of e 2.5％ 3.5％
8.2.2) evaluation of hardness State parameters corresponding to the hardness test
The evaluation object gradually aged under high temperature conditions, and the hardness gradually decreased, the state deteriorated, and finally failure may occur.
Results M of hardness testT2-kCorresponding hardness state parameter CPT2-kIs as defined in formula (9).
Figure BDA0003153306930000182
The hardness in the formula (9) is Brinell hardness, HBLAnd HBHRespectively the minimum value and the maximum value of ultimate hardness, and for the down pipe of the boiler barrel, the HB of common materialLAnd HBHValues are summarized in the following table:
material of T22 T23 G102 T91 12C1MoV 15Cr1Mo …
HBL 120 150 150 180 135 115 …
HBH 163 220 220 250 179 178 …
8.2.3) wall thickness measurement-corresponding wall thickness condition parameter evaluation
The evaluation object is subjected to erosion and corrosion of steam in the high-temperature operation process to generate high-temperature oxidation, and the process consumes the base metal of the evaluation object, so that the evaluation object is thin in wall thickness, bears larger stress and has a worse state.
Results M of wall thickness measurementT3-kCorresponding wall thickness state parameter CPT3-kIs as defined in formula (10).
Figure BDA0003153306930000191
In the formula (10), d0For design wall thickness, units are mm.
9) Evaluation object state evaluation
And (4) counting all the evaluation points obtained in the step (8) according to the classification of the downcomer and the tube seat (the lower corner marks are dt and ds respectively), counting the number m of the downcomer evaluation points and the number n of the tube seat evaluation points, then carrying out overall evaluation on the evaluation object, and finally obtaining an evaluation model of the state value as shown in a formula (10).
Figure BDA0003153306930000192
If the C value of the state of the evaluation object is 0, the state of the evaluation object is considered to be optimal, and when the C value changes from 0 to 5, the state of the evaluation object gradually becomes worse; when the C value is more than 3.5, the state of an evaluation object is general, but the state of a part of evaluation points is poor, so that technicians pay attention to the evaluation object, and the part of evaluation points are maintained or replaced in time; when the C value is larger than 4.25, the state of the evaluation object is poor, the state of most evaluation points is poor, and particularly when the evaluation object is in the final stage of the full operation life cycle, if the C value of the state of the evaluation object is gradually increased after continuous multiple evaluations, the poor state of the evaluation object is also verified, and the enterprise needs to make preparation for overall replacement of the evaluation object.
10) Assessment result archiving and feedback
And completely recording and archiving the state evaluation result of the evaluation object obtained in the step 9), and feeding back the state evaluation result for the next evaluation to calculate the correction factor in the step 5).
By adopting the technical scheme, the states of the subcritical boiler drum downcomer and the tube seat are obtained through evaluation, so that not only can technical personnel in a thermal power plant be helped to know the actual state of equipment, but also the change trend of the state of the equipment can be predicted through multiple state evaluation results aiming at the same evaluation point, the state results of all the evaluation points can be integrated to evaluate the overall state of the subcritical boiler drum downcomer and the tube seat, and the method has important significance for making a maintenance plan and a replacement strategy.

Claims (10)

1. A subcritical boiler drum downcomer and tube seat state assessment method based on off-line inspection is characterized by comprising the following steps;
1) defining an evaluation object and basic information;
2) defining detailed evaluation points;
3) clearly evaluating the specific stage of the full operation life cycle of the object;
4) calculating a state factor CS；
5) Calculating a correction factor CC；
6) An off-line inspection scheme is formulated and implemented;
7) obtaining an off-line inspection result;
8) evaluating the dot state;
9) evaluating the state of an evaluation object;
10) and archiving and feeding back the evaluation result.
2. The off-line inspection-based subcritical boiler drum downcomer and tube socket state evaluation method according to claim 1, wherein the evaluation objects in the step 1) are subcritical boiler drum downcomer and tube socket, and the basic information comprises design drawings, design diameter, design wall thickness, design material and latest maintenance record files.
3. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the step 2) comprises the following specific operation steps:
all evaluation points of the evaluation object are specified and divided into: downcomer evaluation points, tube socket evaluation points, distinguished by the following corner marks dt and ds, respectively.
4. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps of the step 3) are as follows:
clearly evaluating which stage of the early stage, the middle stage and the final stage of the full operation life cycle the object is in;
each stage of the full operating life cycle Time ranges of the stages of the full operational life cycle Early stage (0,0.1Lc] Middle stage (0.1Lc～0.8Lc] End stage (0.8Lc～Lc]
Wherein L iscFor a design life, it is generally defined as the design life of the unit of 30 years.
5. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps in the step 4) are as follows:
determining the corresponding state factor C based on the stage of the definite evaluation object in the step 3)S；
Each stage of the full operating life cycle State factor CS Early stageSegment of 1+s Middle stage 1 End stage 1+5s
Wherein the value of s is looked up according to the following table based on the design and manufacturing data collected in step 1).
Figure FDA0003153306920000021
Figure FDA0003153306920000031
6. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps of the step 5) are as follows:
searching feedback of the last evaluation result of the evaluation object based on the last overhaul record file collected from the step 1), and determining a correction factor C according to the formula (1)C；
Figure FDA0003153306920000032
In the formula, the values of the parameters δ and c are found in the following table.
Figure FDA0003153306920000033
7. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps of the step 6) are as follows:
and (3) comprehensively considering the maintenance plan, time, cost and maintenance results of previous times, and selecting proper items from the macroscopic inspection, the surface inspection, the nondestructive inspection, the metallographic inspection, the outer diameter measurement and the hardness inspection to make an offline inspection scheme aiming at the evaluation points determined in the step 2) and implementing the offline inspection scheme.
8. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps of the step 7) are as follows:
acquiring various offline inspection results of the evaluation points according to the offline inspection items determined in the step 6), dividing the state parameters into two categories according to the offline inspection results, and confirming the state parameters CP and the weight Q corresponding to the various offline inspection items of the evaluation points;
Figure FDA0003153306920000041
Figure FDA0003153306920000051
9. the off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps of the step 8) are as follows:
performing state evaluation on the single evaluation point according to the off-line inspection result obtained in the step 7), and defining the state of the single evaluation point as CkThe evaluation model is shown as formula (2);
Figure FDA0003153306920000052
state C of evaluation pointkThe value of (A) normally falls within [0,5 ]]Within the interval, when CkWhen the value of (a) is changed from 0 to 5, the state of the evaluation point becomes worse and worse;
weight Q of two types of state parameters in the formula (2)Ri、QNiGiving the rule of formula (3);
Figure FDA0003153306920000053
the first type state parameters in the step 8): macroscopic State parameter CPO1-kFrom the result M of the macroscopic examinationO1-k: { no defect found, a few suspected defects found, invention defect evident } definition, as shown in equation (4):
Figure FDA0003153306920000054
the first type state parameters in the step 8): surface state parameter CPO2-kResults M of surface inspectionO2-k: { no defect found, surface defect found but eliminated after sanding, surface defect found but still present after sanding } is defined as shown in equation (5):
Figure FDA0003153306920000061
the first type state parameters in the step 8): lossless State parameter CPO3-kFrom results M of non-destructive inspectionO3-k: { stage I, stage II, stage III, stage IV } definition, as shown in equation (6):
Figure FDA0003153306920000062
the first type state parameters in the step 8): tissue state parameter CPO4-kFrom results M of metallographic examinationO4-k: { level 1, level 2, level 3, level 4, level 5 } definition, as shown in equation (7):
CPO4-k＝(MO4-k+1)/5 (7)
the second type state parameters in the step 8): outer diameter state parameter CPT1-kResult M of measurement of outer diameterT1-kAs defined by formula (8):
Figure FDA0003153306920000063
in the formula (8), D0In mm for the design outer diameter; e is the ultimate creep expansion in%.
The second type state parameters in the step 8): hardness State parameter CPT2-kResults M from hardness testT2-kAs defined by formula (9):
Figure FDA0003153306920000071
in the formula (9), HBLAnd HBHThe minimum and maximum ultimate hardness values are respectively.
The second type state parameters in the step 8): wall thickness State parameter CPT3-kResults M of wall thickness inspectionT3-kDefinition, as shown in formula (10):
Figure FDA0003153306920000072
in the formula (10), d0For design wall thickness, units are mm.
10. The off-line inspection-based subcritical boiler drum downcomer and tube socket condition assessment method according to claim 1, wherein the specific operation steps in the step 9) are as follows:
counting all the evaluation points obtained in the step 8) according to the classification of the downcomer and the tube seat (the lower corner marks are dt and ds respectively), counting the number m of the downcomer evaluation points and the number n of the tube seat evaluation points, then carrying out overall evaluation on the evaluation object, and finally obtaining an evaluation model of the state value as shown in the formula (11).
Figure FDA0003153306920000081
If the C value of the state of the evaluation object is 0, the state of the evaluation object is considered to be optimal, and when the C value changes from 0 to 5, the state of the evaluation object gradually becomes worse; when the C value is more than 3.5, the state of an evaluation object is general, but the state of a part of evaluation points is poor, so that technicians pay attention to the evaluation object, and the part of evaluation points are maintained or replaced in time; when the C value is more than 4.25, the state of the evaluation object is poor, the state of most evaluation points is poor, and particularly when the evaluation object is in the final stage of the full-operation life cycle, if the C value of the state of the evaluation object is gradually increased by continuous multiple evaluations, the poor state of the evaluation object is also verified;
the specific operation steps in the step 10) are as follows:
and completely recording and archiving the state evaluation result of the evaluation object obtained in the step 9), and feeding back the state evaluation result for the next evaluation to calculate the correction factor in the step 5).
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