CN118153821A - Method and system for monitoring and managing processing of scratch-resistant coating of fuel rod - Google Patents
Method and system for monitoring and managing processing of scratch-resistant coating of fuel rod Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 307
- 239000000446 fuel Substances 0.000 title claims abstract description 90
- 239000006120 scratch resistant coating Substances 0.000 title claims abstract description 80
- 238000012545 processing Methods 0.000 title claims abstract description 46
- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 230000007547 defect Effects 0.000 claims abstract description 50
- 238000007726 management method Methods 0.000 claims abstract description 50
- 239000011248 coating agent Substances 0.000 claims abstract description 36
- 238000000576 coating method Methods 0.000 claims abstract description 36
- 238000010606 normalization Methods 0.000 claims description 71
- 238000012163 sequencing technique Methods 0.000 claims description 48
- 238000010438 heat treatment Methods 0.000 claims description 33
- 238000002360 preparation method Methods 0.000 claims description 30
- 238000004519 manufacturing process Methods 0.000 claims description 27
- 238000004321 preservation Methods 0.000 claims description 16
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000010586 diagram Methods 0.000 claims description 14
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 claims description 13
- 235000011114 ammonium hydroxide Nutrition 0.000 claims description 13
- 238000002156 mixing Methods 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 7
- 239000002994 raw material Substances 0.000 claims description 6
- 230000003111 delayed effect Effects 0.000 claims description 3
- 238000010979 pH adjustment Methods 0.000 claims description 3
- 238000001723 curing Methods 0.000 description 20
- HZAXFHJVJLSVMW-UHFFFAOYSA-N 2-Aminoethan-1-ol Chemical compound NCCO HZAXFHJVJLSVMW-UHFFFAOYSA-N 0.000 description 6
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- 239000008367 deionised water Substances 0.000 description 3
- 229910021641 deionized water Inorganic materials 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
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- 238000007711 solidification Methods 0.000 description 3
- 230000008023 solidification Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- PPBRXRYQALVLMV-UHFFFAOYSA-N Styrene Chemical compound C=CC1=CC=CC=C1 PPBRXRYQALVLMV-UHFFFAOYSA-N 0.000 description 2
- ROOXNKNUYICQNP-UHFFFAOYSA-N ammonium persulfate Chemical compound [NH4+].[NH4+].[O-]S(=O)(=O)OOS([O-])(=O)=O ROOXNKNUYICQNP-UHFFFAOYSA-N 0.000 description 2
- 229920000058 polyacrylate Polymers 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 230000001681 protective effect Effects 0.000 description 2
- VVQNEPGJFQJSBK-UHFFFAOYSA-N Methyl methacrylate Chemical compound COC(=O)C(C)=C VVQNEPGJFQJSBK-UHFFFAOYSA-N 0.000 description 1
- DBMJMQXJHONAFJ-UHFFFAOYSA-M Sodium laurylsulphate Chemical compound [Na+].CCCCCCCCCCCCOS([O-])(=O)=O DBMJMQXJHONAFJ-UHFFFAOYSA-M 0.000 description 1
- 229910001093 Zr alloy Inorganic materials 0.000 description 1
- 229910001870 ammonium persulfate Inorganic materials 0.000 description 1
- 239000007864 aqueous solution Substances 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- CQEYYJKEWSMYFG-UHFFFAOYSA-N butyl acrylate Chemical compound CCCCOC(=O)C=C CQEYYJKEWSMYFG-UHFFFAOYSA-N 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
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- 238000006056 electrooxidation reaction Methods 0.000 description 1
- 238000004945 emulsification Methods 0.000 description 1
- 238000007720 emulsion polymerization reaction Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000013007 heat curing Methods 0.000 description 1
- 230000036571 hydration Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 238000006386 neutralization reaction Methods 0.000 description 1
- 239000003758 nuclear fuel Substances 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
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- 230000002285 radioactive effect Effects 0.000 description 1
- 229920005989 resin Polymers 0.000 description 1
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Abstract
The invention discloses a method and a system for monitoring and managing the processing of a scratch-resistant coating of a fuel rod, which relate to the technical field of the processing and monitoring of the coating of the fuel rod. The management method can perform corresponding management when judging that the scratch-resistant coating of the fuel rod has the delay defect, and ensure the safe use of the fuel rod and prolong the service life.
Description
Technical Field
The invention relates to the technical field of fuel rod coating processing monitoring, in particular to a method and a system for monitoring and managing the processing of a scratch-resistant coating of a fuel rod.
Background
The fuel rod is used as a first radioactive protective barrier of a nuclear reactor core, is extremely easy to scratch by a fixed framework in the installation process, and because the surface of the existing fuel rod cannot be perfectly protected by an undegraded coating, electrochemical corrosion can be formed at the scratch, the protection and cleaning of the degradable protective coating cannot reach the standards, and the like, the polyacrylate emulsion with balanced hardness and flexibility is prepared based on a pre-emulsification semi-continuous seed emulsion polymerization technology, a hydration polyacrylate emulsion with a neutralization salification method is constructed, and the scratch-resistant coating is successfully developed through a constant-temperature continuous curing technology, so that the fuel rod is prevented from being scratched when passing through a guide wing and a spring piece of the framework of the nuclear fuel assembly.
When the fuel rods are processed in batches, scratch-resistant coatings are formed on the surfaces of the fuel rods through automatic equipment, various uncertain factors possibly cause the scratch-resistant coatings formed on the surfaces of the fuel rods to have tiny postponement defects in the processing process, the quality of the scratch-resistant coatings is usually detected after the scratch-resistant coatings formed on the surfaces of the fuel rods by the existing method, however, the tiny postponement defects are not easy to embody after the scratch-resistant coatings are formed, so that the tiny postponement defects of the scratch-resistant coatings cannot be detected, and the scratch-resistant coatings with the tiny postponement defects possibly cause the following risks when the fuel rods are used:
1. Minor postponement defects can lead to spalling or breakage of the coating, thereby increasing the risk of failure of the fuel rod, humidity and high temperatures can accelerate corrosion of the underlying substrate under the coating, especially in the harsh environment inside a nuclear reactor, which can reduce the useful life of the fuel rod;
2. If the quality of the fuel rod is problematic in the later use due to a minute delay defect, the operation safety of the nuclear reactor may be compromised. This may lead to accidents or shutdowns, causing significant losses, and damage to the coating due to minor postponements, possibly resulting in radiation leakage from the fuel rod, compromising the surrounding environment and personnel safety.
Disclosure of Invention
The invention aims to provide a method and a system for monitoring and managing the processing of a scratch-resistant coating of a fuel rod, which can comprehensively analyze various uncertain factors to judge whether the formed scratch-resistant coating has a tiny delay defect when the scratch-resistant coating is processed on the surface of the fuel rod so as to ensure the safe use of the fuel rod and solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod comprises the following steps:
The management system divides the whole preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, normalizes the real-time parameter values and the standard parameter values of each sub-process, and generates a deviation score for each sub-process based on the comparison result of the real-time parameter normalized values and the standard parameter normalized values;
Sequencing the multiple sub-processes from large to small according to the deviation scores to generate a process list, sequentially sequencing and marking the multiple sub-processes based on sequencing results in the process list, and generating a weight index for each sub-process according to the sequencing results in the process list and the sequencing marks by a priority diagram method;
And obtaining a process deviation coefficient of the whole preparation process after weighted average calculation according to the weight index of each sub-process, judging whether the scratch-resistant coating of the fuel rod has a delay defect or not after analyzing the process deviation coefficient through a threshold comparison model, and generating a dynamic management strategy by using fuzzy logic after obtaining a judgment result and production requirements.
In a preferred embodiment, the management system splits the overall preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, including the steps of:
the preparation process of the scratch-resistant coating of the fuel rod comprises the processes of mixing, heating, pH adjustment, smearing and curing;
The whole preparation process is divided into a plurality of sub-processes, wherein the plurality of sub-processes comprise a mixing sub-process, a heating sub-process, a regulating sub-process, a smearing sub-process and a curing sub-process.
In a preferred embodiment, the normalization processing of the real-time parameter value and the standard parameter value is performed on each sub-flow, and the method comprises the following steps:
In the stage of the mixed sub-flow, acquiring the real-time mass percentage and the standard mass percentage of each raw material, and respectively calculating the real-time mass percentage normalization value and the standard mass percentage normalization value of each raw material;
In the heating sub-process stage, acquiring a real-time heating temperature, a standard heating temperature, a real-time heat preservation time length and a standard heat preservation time length, and respectively calculating a real-time heating temperature normalization value, a standard heating temperature normalization value, a real-time heat preservation time length normalization value and a standard heat preservation time length normalization value;
the sub-flow stage is regulated, the real-time ammonia water addition amount and the standard ammonia water addition amount are obtained, and the real-time ammonia water addition amount normalization value and the standard ammonia water addition amount normalization value are calculated respectively;
In the coating sub-process stage, acquiring a real-time coating speed, a standard coating speed, a real-time coating viscosity and a standard coating viscosity, and respectively calculating a real-time coating speed normalization value, a standard coating speed normalization value, a real-time coating viscosity normalization value and a standard coating viscosity normalization value;
And in the stage of the curing sub-flow, acquiring real-time curing temperature and standard curing temperature, and respectively calculating a real-time curing temperature normalization value and a standard curing temperature normalization value.
In a preferred embodiment, a deviation score is generated for each sub-process based on the comparison of the real-time parameter normalization value and the standard parameter normalization value, the function expression of the deviation score being:
,
In the method, in the process of the invention, For bias score,/>For the number of parameters monitored in the sub-flow,/>The values are normalized for the real-time parameters,Normalized values for standard parameters,/>And normalizing the absolute value of the difference value of the numerical value and the corresponding standard parameter normalized numerical value for the ith real-time parameter.
In a preferred embodiment, the sorting and marking of the plurality of sub-processes sequentially according to the sorting result in the process list includes the steps of:
After the deviation scores of all the sub-processes are obtained, the sub-processes are ranked from large to small according to the deviation scores, a process list is generated, the sub-processes are sequentially ranked and marked according to ranking results in the process list, the sub-processes are sequentially marked as { C1, C2, C3, C4 and C5}, and the deviation scores are compared as follows: c1 > C2 > C3 > C4 > C5.
In a preferred embodiment, the method for generating a weight index for each sub-process by the order graph method according to the ordering result and the ordering flag in the process list comprises the following steps:
Respectively generating TTL indexes according to deviation scores of the mixed sub-process, the heating sub-process, the adjusting sub-process, the smearing sub-process and the curing sub-process by a priority diagram method;
Carrying out weight assignment on the { C1, C2, C3, C4 and C5} areas according to TTL indexes to generate weight indexes of { C1, C2, C3, C4 and C5 };
and obtaining the weight index of each sub-process, and obtaining the process deviation coefficient of the whole preparation process according to the weighted average calculation of the weight index of each sub-process.
In a preferred embodiment, the method for determining whether a postponement defect exists in the scratch-resistant coating of the fuel rod after analyzing the process deviation coefficient through a threshold comparison model comprises the following steps:
the threshold comparison model comprises a first deviation threshold and a second deviation threshold, wherein the first deviation threshold is used for judging whether the scratch-resistant coating of the fuel rod has a postponed defect or not, and the second deviation threshold is used for judging the severity of the postponed defect of the scratch-resistant coating of the fuel rod;
judging that the scratch-resistant coating of the fuel rod has no delay defect if the process deviation coefficient is smaller than or equal to a first deviation threshold value, and judging that the scratch-resistant coating of the fuel rod has the delay defect if the process deviation coefficient is larger than the first deviation threshold value;
if the process deviation coefficient is larger than the first deviation threshold value and smaller than or equal to the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is small, and if the process deviation coefficient is larger than the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is large.
In a preferred embodiment, after obtaining the judgment result and the production requirement, generating a dynamic management strategy by using fuzzy logic, including the following steps:
after the management system acquires the judging result and the production requirement, defining the judging result and the production requirement as input variables, and dividing the input variables into different fuzzy sets respectively;
defining a dynamic management strategy as an output variable and dividing the dynamic management strategy into fuzzy sets;
generating fuzzy rules, describing the influence of different input variables on output variables.
The processing monitoring management system for the scratch-resistant coating of the fuel rod comprises a sub-flow dividing module, a processing module, a scoring module, a sequencing marking module, a weight generating module, a coefficient calculating module, a judging module and a management module;
the sub-flow dividing module: the method comprises the steps of dividing an overall preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes;
the processing module is used for: the method is used for carrying out normalization processing on the real-time parameter values and the standard parameter values of each sub-process;
And a scoring module: generating a deviation score for each sub-process based on the comparison result of the real-time parameter normalization value and the standard parameter normalization value;
The sequencing marking module: sequencing the multiple sub-processes from large to small according to the deviation scores to generate a process list, and sequentially sequencing and marking the multiple sub-processes according to sequencing results in the process list;
Weight generation module: generating a weight index for each sub-process through an order diagram method according to the ordering result in the process list and the ordering mark;
and a coefficient calculating module: obtaining a process deviation coefficient of the whole preparation process after weighted average calculation according to the weight index of each sub-process;
and a judging module: judging whether the scratch-resistant coating of the fuel rod has a delay defect or not after analyzing the process deviation coefficient through a threshold comparison model;
And a management module: and after the judgment result and the production requirement are obtained, generating a dynamic management strategy by using fuzzy logic.
In the technical scheme, the invention has the technical effects and advantages that:
According to the invention, deviation scores are generated for each sub-process, a plurality of sub-processes are ordered from large to small according to the deviation scores, a process list is generated, the plurality of sub-processes are sequentially ordered and marked according to the ordering results in the process list, a weight index is generated for each sub-process according to the ordering results in the process list and the ordering marks through a priority diagram method, the process deviation coefficient of the whole preparation process is obtained after weighted average calculation according to the weight index of each sub-process, whether the scratch-resistant coating of the fuel rod has a delayed defect is judged after the process deviation coefficient is analyzed through a threshold comparison model, and a dynamic management strategy is generated by using fuzzy logic after the judgment result and the production requirement are obtained. In the management method, in the processing process of the scratch-resistant coating of the fuel rod, the processing parameters of a plurality of sub-processes are monitored, then the process deviation coefficient of the whole preparation process is comprehensively generated, and whether the scratch-resistant coating of the fuel rod has a delay defect or not is judged after the process deviation coefficient is analyzed through a threshold comparison model, so that corresponding management can be carried out when the scratch-resistant coating of the fuel rod is judged to have the delay defect, the safe use of the fuel rod is ensured, and the service life is prolonged.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The preparation process of the scratch-resistant coating of the existing fuel rod comprises the following steps:
Firstly, mixing and configuring a coating material, wherein a high polymer resin is dissolved in deionized water and ethanolamine, the proportion of the high polymer resin, the deionized water and the ethanolamine is 75wt%, 24.93wt% and 0.07wt%, and the high polymer resin comprises 35.5wt% of sodium dodecyl sulfate, 37wt% of a resin aqueous solution protective colloid, 12wt% of butyl acrylate, 7.8wt% of styrene, 7.55wt% of methyl methacrylate and 0.15wt% of ammonium persulfate.
The heating temperature of the mixed emulsion of the polymer resin, the deionized water and the ethanolamine is 90 ℃, and the heat preservation time is 120 minutes.
And after the heat preservation is finished, the temperature of the emulsion is reduced to room temperature, a proper amount of ammonia water is added to adjust the pH value of the emulsion to 9.0, and then the mixture is filtered and discharged.
And uniformly coating the prepared paint on the surface of the zirconium alloy fuel rod.
And (3) performing heat curing after coating, wherein the curing temperature is 70 ℃, and curing for 20 minutes to prepare the scratch-resistant coating of the fuel rod.
Example 1: referring to fig. 1, the method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to the present embodiment includes the following steps:
The method comprises the steps that a management system divides the whole preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, after carrying out normalization processing on real-time parameter values and standard parameter values on each sub-process, generating a deviation score for each sub-process based on comparison results of the real-time parameter normalization values and the standard parameter normalization values, sequencing the plurality of sub-processes from large to small according to the deviation scores to generate a process list, sequentially sequencing the plurality of sub-processes according to sequencing results in the process list, marking the sequencing of the sub-processes according to the sequencing results in the process list, wherein the higher the sequencing of the sub-processes in the process list is, the larger the processing parameter deviation of the sub-processes is, namely the higher the sequencing of the sub-processes is, the more the weight is required to be paid, a weight index is generated for each sub-process according to sequencing results in the process list and sequencing marks through a priority diagram method, and obtaining a process deviation coefficient of the whole preparation process flow after weighting average calculation, analyzing the process deviation coefficient through a threshold comparison model, judging whether the scratch-resistant coating of the fuel rod has a post defect, and generating a fuzzy logic management strategy after obtaining a judgment result and a production requirement.
According to the application, deviation scores are generated for each sub-process, a plurality of sub-processes are ordered from large to small according to the deviation scores, a process list is generated, the plurality of sub-processes are sequentially ordered and marked according to the ordering results in the process list, a weight index is generated for each sub-process according to the ordering results in the process list and the ordering marks through a priority diagram method, the process deviation coefficient of the whole preparation process is obtained after weighted average calculation according to the weight index of each sub-process, whether the scratch-resistant coating of the fuel rod has a delayed defect is judged after the process deviation coefficient is analyzed through a threshold comparison model, and a dynamic management strategy is generated by using fuzzy logic after the judgment result and the production requirement are obtained. In the management method, in the processing process of the scratch-resistant coating of the fuel rod, the processing parameters of a plurality of sub-processes are monitored, then the process deviation coefficient of the whole preparation process is comprehensively generated, and whether the scratch-resistant coating of the fuel rod has a delay defect or not is judged after the process deviation coefficient is analyzed through a threshold comparison model, so that corresponding management can be carried out when the scratch-resistant coating of the fuel rod is judged to have the delay defect, the safe use of the fuel rod is ensured, and the service life is prolonged.
Example 2: the management system divides the whole preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, and the method comprises the following steps:
As known from the existing preparation process of the scratch-resistant coating of the fuel rod, the preparation process of the scratch-resistant coating of the fuel rod comprises mixing, heating, pH adjustment, smearing and curing processes, so that the whole preparation process is divided into a plurality of sub-processes, wherein the plurality of sub-processes comprise a mixing sub-process, a heating sub-process, a regulating sub-process, a smearing sub-process and a curing sub-process.
Carrying out normalization processing on the real-time parameter values and the standard parameter values of each sub-process, wherein the normalization processing comprises the following steps:
in the application, the real-time parameter value of each sub-process can be acquired in real time through a processing equipment system used in the sub-process or can be acquired by installing a corresponding sensor, and the standard parameter value of each sub-process can be directly acquired through the processing equipment system used in the sub-process (the standard parameter value is usually directly initially set in the processing equipment system by a worker);
In the stage of the mixed sub-flow, acquiring the real-time mass percentage and the standard mass percentage of each raw material, and respectively calculating the real-time mass percentage normalization value and the standard mass percentage normalization value of each raw material;
In the heating sub-process stage, acquiring a real-time heating temperature, a standard heating temperature, a real-time heat preservation time length and a standard heat preservation time length, and respectively calculating a real-time heating temperature normalization value, a standard heating temperature normalization value, a real-time heat preservation time length normalization value and a standard heat preservation time length normalization value;
the sub-flow stage is regulated, the real-time ammonia water addition amount and the standard ammonia water addition amount are obtained, and the real-time ammonia water addition amount normalization value and the standard ammonia water addition amount normalization value are calculated respectively;
In the coating sub-process stage, acquiring a real-time coating speed, a standard coating speed, a real-time coating viscosity and a standard coating viscosity, and respectively calculating a real-time coating speed normalization value, a standard coating speed normalization value, a real-time coating viscosity normalization value and a standard coating viscosity normalization value;
And in the stage of the curing sub-flow, acquiring real-time curing temperature and standard curing temperature, and respectively calculating a real-time curing temperature normalization value and a standard curing temperature normalization value.
In the application, a normalization general calculation formula is adopted to normalize the real-time parameter value and the standard parameter value of each sub-flow, the parameter value is mapped to the interval [0,1], and the expression of the normalization general calculation formula is as follows:
,
In the method, in the process of the invention, Representing normalized values,/>Is the original data,/>Is the minimum value of the original data,/>Is the maximum value of the original data;
in the present application, Indicating allowable fluctuation ranges of real-time parameter values in each sub-process, for example, in the stage of a solidification sub-process, the allowable fluctuation ranges are 68-72 ℃, the standard solidification temperature is 70 ℃, if the real-time solidification temperature is not within the allowable fluctuation ranges of 68-72 ℃, the quality of the scratch-resistant coating of the fuel rod is directly caused to be unqualified, at the moment, a management system directly sends an alarm prompt to an administrator and automatically controls processing equipment to stop, and for other sub-processes, the processing modes are consistent with the above, and are not described one by one;
It should be noted that, the normalization formula given in this embodiment is a general formula, and the parameter values in the present application are not related, and the process of normalizing the parameter values is consistent with the general formula, which is not described herein.
Generating a deviation score for each sub-process based on the comparison of the real-time parameter normalization value and the standard parameter normalization value, comprising the steps of:
Because some sub-flows have two or more real-time parameter acquisitions, a plurality of real-time parameter normalization values and corresponding standard parameter normalization values of the sub-flows need to be compared to acquire deviation scores, and the function expression is: in the above, the ratio of/> For bias score,/>For the number of parameters monitored in the sub-flow,/>Normalized values for real-time parameters,/>Normalized values for standard parameters,/>The absolute value of the difference value between the ith real-time parameter normalized value and the corresponding standard parameter normalized value;
for example, taking the heating sub-process stage as an example, the number of parameters monitored in the heating sub-process stage is 2, i.e., n=2, the deviation score calculation expression of the heating sub-process is updated as:
,
In the method, in the process of the invention, Representing the absolute value of the difference between the real-time heating temperature normalized value and the standard heating temperature normalized value,/>The absolute value of the difference between the normalized value of the real-time heat preservation duration and the normalized value of the standard heat preservation duration is shown, and the calculation mode of other sub-process stages is similar to that of the heating sub-process stages, and is not exemplified here.
The function expression of the deviation score indicates that the deviation score of the sub-process is larger, which indicates that the real-time parameter value deviates from the standard parameter value in the stage of the sub-process, but the normalization processing is carried out on all the parameter values, and the parameter values are mapped to the intervals [0,1], so that the influence of the excessive or insufficient parameter values of some sub-processes on the final deviation score can be avoided.
Sequencing a plurality of sub-processes from large to small according to deviation scores to generate a process list, and sequentially sequencing the plurality of sub-processes according to sequencing results in the process list, wherein the step is to facilitate the weight assignment of the subsequent sub-processes, the higher the sequencing of the sub-processes in the process list, the larger the deviation of processing parameters of the sub-processes, the more attention is required, namely the higher the sequencing of the sub-processes, the larger the weight assignment is, and the steps are as follows:
After the deviation scores of all the sub-processes are obtained, the larger the deviation scores of the sub-processes are, the more attention is required to be paid to the sub-processes, namely, the larger the weight index of the sub-processes is, the plurality of sub-processes are ordered from large to small according to the deviation scores, a process list is generated, the plurality of sub-processes are sequentially ordered and marked according to the ordering results in the process list, in the application, the divided sub-processes are mixed sub-processes, heating sub-processes, regulating sub-processes, smearing sub-processes and solidifying sub-processes, therefore, the dividing number of the sub-processes is 5, the plurality of sub-processes are sequentially ordered and marked according to the ordering results in the process list, the sizes of the deviation scores are compared as follows: c1 > C2 > C3 > C4 > C5.
Generating a weight index for each sub-process by a priority diagram method according to the sequencing result and the sequencing mark in the process list, wherein the weight index comprises the following steps:
And (3) obtaining a sequencing result and a sequencing mark in the flow list, and respectively generating weight indexes according to deviation scores of the mixed sub-flow, the heating sub-flow, the adjusting sub-flow, the smearing sub-flow and the curing sub-flow by a sequence diagram method.
Specifically, the deviation scores of the mixing sub-process, the heating sub-process, the adjusting sub-process, the smearing sub-process and the curing sub-process are respectively generated into TTL indexes according to a priority diagram method as shown in table 1:
,
TABLE 1
The { C1, C2, C3, C4, C5} regions were assigned weights according to TTL indicators to generate the weight indices of { C1, C2, C3, C4, C5}, as shown in Table 2:
,
TABLE 2
Sequencing the sub-processes from large to small according to the deviation scores, respectively corresponding the sub-processes to { C1, C2, C3, C4 and C5}, acquiring the weight index of each sub-process, and obtaining the process deviation coefficient of the whole preparation process according to the weighted average calculation of the weight index of each sub-process.
After analyzing the process deviation coefficient through a threshold comparison model, judging whether the scratch-resistant coating of the fuel rod has a delay defect or not, and comprising the following steps:
the threshold comparison model comprises a first deviation threshold and a second deviation threshold, wherein the first deviation threshold is used for judging whether the scratch-resistant coating of the fuel rod has a postponed defect or not, and the second deviation threshold is used for judging the severity of the postponed defect of the scratch-resistant coating of the fuel rod;
judging that the scratch-resistant coating of the fuel rod has no delay defect if the process deviation coefficient is smaller than or equal to a first deviation threshold value, and judging that the scratch-resistant coating of the fuel rod has the delay defect if the process deviation coefficient is larger than the first deviation threshold value;
if the process deviation coefficient is larger than the first deviation threshold value and smaller than or equal to the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is small, and if the process deviation coefficient is larger than the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is large.
After the judgment result and the production requirement are obtained, a dynamic management strategy is generated by using fuzzy logic, and the method comprises the following steps:
after the management system acquires the judging result and the production requirement, defining the judging result and the production requirement as input variables, and dividing the input variables into different fuzzy sets respectively;
For example, the fuzzy set of judgment results is: "No defects", "Minor defects", "LARGE DEFECTS", fuzzy sets of production requirements are: "urgent", "Relaxation";
defining a dynamic management strategy as an output variable and dividing the dynamic management strategy into fuzzy sets;
for example, the fuzzy set of dynamic management policies is: "Not management", "To be confirmed", "Stop production";
Generating fuzzy rules, describing the influence of different input variables on output variables, wherein the definition of the rules can be based on expert knowledge, and can also be obtained through data analysis and experiments. For example:
Marking the judgment result as Q, the production requirement as S, and the dynamic management strategy as D_ms, wherein the fuzzy rule comprises but is not limited to:
Rule 1:IF (Q is Large defects) THEN (D_ms is Stop production);
rule 2: IF (Q is Minor defects) AND (S is urgent) THEN (D_ ms is To be confirmed), which means that the postponement defect of the scratch-resistant coating of the fuel rod is judged to be small, but the current production demand is urgent, so that a management strategy to be confirmed is generated, and a manager confirms whether the production needs to be continued or not;
Rule 3:IF (Q is No defects) THEN (D_ms is Not managed);
Rule 4: IF (Q is Minor defects) AND (S is Relaxation) THEN (D_ ms is Stop production), which is a rule that means that the postponement defect of the scratch-resistant coating of the fuel rod is judged to be small, but the current production demand is relaxed, thus generating a management strategy for controlling production stoppage;
It should be noted that, the division of the fuzzy sets may be adjusted according to the actual situation, for example, although the embodiment uses three fuzzy sets as examples, the production requirement and the dynamic management policy may be actually subdivided into a plurality of fuzzy sets, so as to facilitate better management.
Example 3: the processing monitoring management system for the scratch-resistant coating of the fuel rod comprises a sub-process dividing module, a processing module, a scoring module, a sequencing marking module, a weight generating module, a coefficient calculating module, a judging module and a management module;
The sub-flow dividing module: splitting the overall preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes;
the processing module is used for: carrying out normalization processing on the real-time parameter values and the standard parameter values of each sub-process;
And a scoring module: generating a deviation score for each sub-process based on the comparison result of the real-time parameter normalization value and the standard parameter normalization value;
The sequencing marking module: sequencing the multiple sub-processes from large to small according to the deviation scores to generate a process list, and sequentially sequencing and marking the multiple sub-processes according to sequencing results in the process list;
Weight generation module: generating a weight index for each sub-process through an order diagram method according to the ordering result in the process list and the ordering mark;
and a coefficient calculating module: obtaining a process deviation coefficient of the whole preparation process after weighted average calculation according to the weight index of each sub-process;
and a judging module: judging whether the scratch-resistant coating of the fuel rod has a delay defect or not after analyzing the process deviation coefficient through a threshold comparison model;
And a management module: and after the judgment result and the production requirement are obtained, generating a dynamic management strategy by using fuzzy logic.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod is characterized by comprising the following steps of: the management method comprises the following steps:
The management system divides the whole preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, normalizes the real-time parameter values and the standard parameter values of each sub-process, and generates a deviation score for each sub-process based on the comparison result of the real-time parameter normalized values and the standard parameter normalized values;
Sequencing the multiple sub-processes from large to small according to the deviation scores to generate a process list, sequentially sequencing and marking the multiple sub-processes based on sequencing results in the process list, and generating a weight index for each sub-process according to the sequencing results in the process list and the sequencing marks by a priority diagram method;
Obtaining a process deviation coefficient of the whole preparation process after weighted average calculation according to the weight index of each sub-process, judging whether a delayed defect exists in the scratch-resistant coating of the fuel rod after analyzing the process deviation coefficient through a threshold comparison model, and generating a dynamic management strategy by using fuzzy logic after obtaining a judging result and production requirements;
the management system divides the whole preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes, and the method comprises the following steps:
the preparation process of the scratch-resistant coating of the fuel rod comprises the processes of mixing, heating, pH adjustment, smearing and curing;
dividing the whole preparation process into a plurality of sub-processes, wherein the plurality of sub-processes comprise a mixing sub-process, a heating sub-process, a regulating sub-process, a smearing sub-process and a curing sub-process;
Generating a deviation score for each sub-process based on the comparison result of the real-time parameter normalization value and the standard parameter normalization value, wherein the function expression of the deviation score is as follows:
,
In the method, in the process of the invention, For bias score,/>For the number of parameters monitored in the sub-flow,/>Normalized values for real-time parameters,/>Normalized values for standard parameters,/>And normalizing the absolute value of the difference value of the numerical value and the corresponding standard parameter normalized numerical value for the ith real-time parameter.
2. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to claim 1, wherein the method comprises the following steps: carrying out normalization processing on the real-time parameter values and the standard parameter values of each sub-process, wherein the normalization processing comprises the following steps:
In the stage of the mixed sub-flow, acquiring the real-time mass percentage and the standard mass percentage of each raw material, and respectively calculating the real-time mass percentage normalization value and the standard mass percentage normalization value of each raw material;
In the heating sub-process stage, acquiring a real-time heating temperature, a standard heating temperature, a real-time heat preservation time length and a standard heat preservation time length, and respectively calculating a real-time heating temperature normalization value, a standard heating temperature normalization value, a real-time heat preservation time length normalization value and a standard heat preservation time length normalization value;
the sub-flow stage is regulated, the real-time ammonia water addition amount and the standard ammonia water addition amount are obtained, and the real-time ammonia water addition amount normalization value and the standard ammonia water addition amount normalization value are calculated respectively;
In the coating sub-process stage, acquiring a real-time coating speed, a standard coating speed, a real-time coating viscosity and a standard coating viscosity, and respectively calculating a real-time coating speed normalization value, a standard coating speed normalization value, a real-time coating viscosity normalization value and a standard coating viscosity normalization value;
And in the stage of the curing sub-flow, acquiring real-time curing temperature and standard curing temperature, and respectively calculating a real-time curing temperature normalization value and a standard curing temperature normalization value.
3. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to claim 2, characterized by comprising the steps of: sequentially marking the sequencing of the sub-processes according to the sequencing result in the process list, wherein the method comprises the following steps:
After the deviation scores of all the sub-processes are obtained, the sub-processes are ranked from large to small according to the deviation scores, a process list is generated, the sub-processes are sequentially ranked and marked according to ranking results in the process list, the sub-processes are sequentially marked as { C1, C2, C3, C4 and C5}, and the deviation scores are compared as follows: c1 > C2 > C3 > C4 > C5.
4. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to claim 3, wherein the method comprises the following steps: generating a weight index for each sub-process by a priority diagram method according to the sequencing result and the sequencing mark in the process list, wherein the weight index comprises the following steps:
Respectively generating TTL indexes according to deviation scores of the mixed sub-process, the heating sub-process, the adjusting sub-process, the smearing sub-process and the curing sub-process by a priority diagram method;
Carrying out weight assignment on the { C1, C2, C3, C4 and C5} areas according to TTL indexes to generate weight indexes of { C1, C2, C3, C4 and C5 };
and obtaining the weight index of each sub-process, and obtaining the process deviation coefficient of the whole preparation process according to the weighted average calculation of the weight index of each sub-process.
5. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to claim 4, wherein the method comprises the following steps: after analyzing the process deviation coefficient through a threshold comparison model, judging whether the scratch-resistant coating of the fuel rod has a delay defect or not, and comprising the following steps:
the threshold comparison model comprises a first deviation threshold and a second deviation threshold, wherein the first deviation threshold is used for judging whether the scratch-resistant coating of the fuel rod has a postponed defect or not, and the second deviation threshold is used for judging the severity of the postponed defect of the scratch-resistant coating of the fuel rod;
judging that the scratch-resistant coating of the fuel rod has no delay defect if the process deviation coefficient is smaller than or equal to a first deviation threshold value, and judging that the scratch-resistant coating of the fuel rod has the delay defect if the process deviation coefficient is larger than the first deviation threshold value;
if the process deviation coefficient is larger than the first deviation threshold value and smaller than or equal to the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is small, and if the process deviation coefficient is larger than the second deviation threshold value, judging that the delay defect of the scratch-resistant coating of the fuel rod is large.
6. The method for monitoring and managing the processing of the scratch-resistant coating of the fuel rod according to claim 5, wherein the method comprises the following steps: after the judgment result and the production requirement are obtained, a dynamic management strategy is generated by using fuzzy logic, and the method comprises the following steps:
after the management system acquires the judging result and the production requirement, defining the judging result and the production requirement as input variables, and dividing the input variables into different fuzzy sets respectively;
defining a dynamic management strategy as an output variable and dividing the dynamic management strategy into fuzzy sets;
generating fuzzy rules, describing the influence of different input variables on output variables.
7. A system for monitoring and managing the processing of a scratch-resistant coating of a fuel rod, for implementing the management method according to any one of claims 1 to 6, characterized in that: the system comprises a sub-process dividing module, a processing module, a scoring module, a sequencing marking module, a weight generating module, a coefficient calculating module, a judging module and a management module;
the sub-flow dividing module: the method comprises the steps of dividing an overall preparation process of the scratch-resistant coating of the fuel rod into a plurality of sub-processes;
the processing module is used for: the method is used for carrying out normalization processing on the real-time parameter values and the standard parameter values of each sub-process;
And a scoring module: generating a deviation score for each sub-process based on the comparison result of the real-time parameter normalization value and the standard parameter normalization value;
The sequencing marking module: sequencing the multiple sub-processes from large to small according to the deviation scores to generate a process list, and sequentially sequencing and marking the multiple sub-processes according to sequencing results in the process list;
Weight generation module: generating a weight index for each sub-process through an order diagram method according to the ordering result in the process list and the ordering mark;
and a coefficient calculating module: obtaining a process deviation coefficient of the whole preparation process after weighted average calculation according to the weight index of each sub-process;
and a judging module: judging whether the scratch-resistant coating of the fuel rod has a delay defect or not after analyzing the process deviation coefficient through a threshold comparison model;
And a management module: and after the judgment result and the production requirement are obtained, generating a dynamic management strategy by using fuzzy logic.
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