WO2022133895A1

WO2022133895A1 - Equipment supervision-based thermal power equipment quality data processing method and apparatus

Info

Publication number: WO2022133895A1
Application number: PCT/CN2020/138987
Authority: WO
Inventors: 程阳; 杜光利; 司广全; 杜东明; 付金良; 杨百勋; 李太江; 田晓璇; 郝延涛; 王宝灵
Original assignee: 华能国际电力股份有限公司; 西安热工研究院有限公司
Priority date: 2020-12-24
Filing date: 2020-12-24
Publication date: 2022-06-30

Abstract

The present application relates to the technical field of thermal power equipment, and specifically relates to an equipment supervision-based thermal power equipment quality data processing method and apparatus. The method comprises: obtaining a quality model of target thermal power equipment; determining the weight corresponding to each criterion determination matrix; obtaining the equipment quantity corresponding to each quality sub-indicator in the target thermal power equipment; on the basis of the equipment quantity corresponding to each quality sub-indicator, acquiring a similarity matrix corresponding to each quality indicator; performing numerical calculation according to the weight corresponding to each criterion determination matrix and the corresponding similarity matrix, and determining the quality sub-indicator corresponding to a quality problem of the target thermal power equipment so as to adjust fabrication parameters of the target thermal power equipment. The similarity matrix corresponding to each quality indicator is calculated along with the equipment quantity of each quality sub-indicator, so that the obtained similarity can accurately reflect the actual situation of the target thermal power equipment, thus improving the accuracy of quality data determination.

Description

Method and device for processing quality data of thermal power equipment based on equipment supervision

technical field

The present application relates to the technical field of thermal power equipment, in particular to a method and device for processing quality data of thermal power equipment based on equipment supervision.

Background technique

With the increase in the capacity of power plants, the level and quality requirements for thermal power equipment have also increased accordingly. In recent years, some thermal power equipment suppliers have tended to be saturated with production capacity. Under the pressure of supply, manufacturers have been lax in equipment quality control, and the situation of changing progress with quality has occurred from time to time. In addition, the phenomenon of subcontracting and escrow management Generally, the risk of equipment manufacturing quality increases significantly. How to accurately process the quality data of the equipment, so that the power plant can accurately understand the manufacturing quality of the equipment in the production process, and then scientifically guide the operation, maintenance and repair work of the power plant equipment has become an important issue faced by the power plant.

At present, the processing methods for quality data mainly include expert evaluation method, statistical investigation method, analytic hierarchy process, and causal analysis method. exact question.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present application provide a method and device for processing thermal power equipment quality data based on equipment supervision, so as to solve the problem of inaccurate quality data processing.

According to the first aspect, an embodiment of the present application provides a method for processing thermal power equipment quality data based on equipment supervision, including:

Obtain the quality model of the target thermal power equipment, the quality model includes the target judgment matrix of the target layer and the criterion judgment matrix of the criterion layer, the target judgment matrix corresponds to the quality index of the thermal power equipment, and the criterion judgment matrix corresponds to each The quality sub-indicator corresponding to the quality index corresponds to;

Determine the weights corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment;

Acquiring the number of devices corresponding to each of the quality sub-indicators in each of the target thermal power devices;

Based on the number of devices corresponding to each of the quality sub-indicators, a similarity matrix corresponding to each of the quality indicators is obtained;

Numerical calculation is performed according to the weights corresponding to each of the criterion judgment matrices and the corresponding similarity matrices to determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment.

The method for processing thermal power equipment quality data based on equipment supervision provided by the embodiment of the present application, when determining the weights corresponding to each criterion judgment matrix, according to the working environment parameters of the target thermal power equipment, due to the different working environments will have different quality requirements. Therefore, determining the weight based on the working environment parameters can ensure that the determined weight can meet the needs of the actual working scene, and then can ensure that the adjustment of the manufacturing parameters is carried out according to the actual problem, which ensures the quality of the thermal power equipment produced subsequently.

With reference to the first aspect, in the first embodiment of the first aspect, the working environment parameter includes a working environment temperature, and the weight corresponding to each of the criterion judgment matrices is determined based on the working environment parameter of each of the target thermal power equipment, include:

Judging whether the working environment temperature of the target thermal power equipment is greater than a preset temperature value;

When the working environment temperature is greater than the preset temperature value, the weight corresponding to the criterion judgment matrix is set as the first weight.

The method for processing the quality data of thermal power equipment based on equipment supervision provided by the embodiment of the present application compares the working environment temperature of the target thermal power equipment with a preset temperature value, and when the temperature is greater than the preset temperature value, it indicates the working environment of the target thermal power equipment at this time. If the temperature is high, its quality needs to be strictly controlled. Accordingly, a large weight should be set to ensure the reliability of subsequent parameter adjustment.

With reference to the first embodiment of the first aspect, in the second embodiment of the first aspect, the determination of the weight corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment further includes:

When the working environment temperature is less than or equal to the preset temperature value, the weight corresponding to the criterion judgment matrix is set as a second weight, and the second weight is smaller than the first weight.

The method for processing the quality data of thermal power equipment based on equipment supervision provided by the embodiment of the present application compares the working environment temperature of the target thermal power equipment with a preset temperature value, and when the temperature is less than or equal to the preset temperature value, it indicates that the current temperature of the target thermal power equipment is The temperature of the working environment is low, and the quality control is not very strict. Accordingly, a small weight is set to ensure the reliability of subsequent parameter adjustment.

With reference to the first aspect, in the third implementation manner of the first aspect, determining the similarity matrix corresponding to each quality index based on the number of devices corresponding to each of the quality sub-indexes includes:

calculating the sum of the devices corresponding to the number of devices for all said mass sub-indicators;

The ratio of the number of devices of each of the quality sub-indicators to the sum of the devices is calculated respectively, and a similarity matrix corresponding to each of the quality indicators is obtained.

In the method for processing thermal power equipment quality data based on equipment supervision provided by the embodiments of the present application, the ratio of the number of equipment of each quality sub-indicator to the total equipment is used in the similarity calculation, so as to ensure the accuracy of the calculated similarity matrix.

In combination with the third embodiment of the first aspect, in the fourth embodiment of the first aspect, the weights corresponding to the judgment matrix according to each of the criteria and the corresponding similarity matrix are numerically calculated to determine the quality problem of the target thermal power equipment. Corresponding quality indicators to adjust the manufacturing parameters of the target thermal power equipment, including:

Calculate the product of the weight corresponding to each described criterion judgment matrix and the corresponding similarity matrix respectively, and obtain the quality evaluation matrix corresponding to each described quality index;

Determine the quality index corresponding to the quality problem of the target thermal power equipment based on the quality evaluation matrix corresponding to each of the quality indexes;

Using the quality index corresponding to the quality problem, the manufacturing parameter of the quality index is determined, so as to adjust the manufacturing parameter.

The equipment supervision-based thermal power equipment quality data processing method provided in the embodiment of the present application utilizes a quality assessment matrix to determine quality indicators corresponding to quality problems, so as to adjust manufacturing parameters in a targeted manner and ensure the subsequent manufacturing quality of thermal power equipment.

With reference to the fourth embodiment of the first aspect, in the fifth embodiment of the first aspect, the quality index corresponding to the quality problem of the target thermal power equipment is determined based on the quality evaluation matrix corresponding to each of the quality indexes, including:

For the quality evaluation matrix corresponding to each of the quality indicators, compare the size of each element in the quality evaluation matrix, and determine the evaluation level corresponding to the quality evaluation matrix;

The quality index corresponding to the quality problem of the target thermal power equipment is determined by using the evaluation level corresponding to each of the quality indexes.

With reference to the first aspect, in a sixth implementation manner of the first aspect, the method further includes:

Determine the weight corresponding to the target judgment matrix;

Calculate the similarity matrix corresponding to the weight corresponding to the target judgment matrix and each of the quality indicators to obtain the similarity matrix corresponding to the target thermal power equipment;

The quality level of the target thermal power equipment is determined based on the size of each element in the similarity matrix corresponding to the target thermal power equipment.

The method for processing the quality data of thermal power equipment based on equipment supervision provided by the embodiment of the present application determines the quality level of the target thermal power equipment by calculating the weight corresponding to the target judgment matrix and each similarity matrix, which can ensure the objectivity of the determined quality level. .

According to the second aspect, the embodiment of the present application also provides a thermal power equipment quality data processing device based on equipment supervision, including:

The first acquisition module is used to acquire the quality model of the target thermal power equipment, the quality model includes the target judgment matrix of the target layer and the criterion judgment matrix of the criterion layer, and the target judgment matrix corresponds to the quality index of the thermal power equipment. The criterion judgment matrix corresponds to the quality sub-indices corresponding to each of the quality indexes;

a first determination module, configured to determine the weight corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment;

a second acquisition module, configured to acquire the number of devices corresponding to each of the mass sub-indicators in each of the target thermal power devices;

a second determination module, configured to obtain a similarity matrix corresponding to each quality index based on the number of devices corresponding to each of the quality sub-indexes;

The adjustment module is used to perform numerical calculation according to the weights corresponding to each of the criterion judgment matrices and the corresponding similarity matrix, and determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to carry out the calculation of the manufacturing parameters of the target thermal power equipment. Adjustment.

According to a third aspect, an embodiment of the present application provides an electronic device, including: a memory and a processor, the memory and the processor are connected in communication with each other, the memory stores computer instructions, and the processor By executing the computer instructions, the first aspect or the method for processing thermal power equipment quality data based on equipment supervision described in any implementation manner of the first aspect is executed.

According to a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the first aspect or any one of the first aspect. A method for processing thermal power equipment quality data based on equipment supervision described in an embodiment.

Description of drawings

In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the accompanying drawings that need to be used in the description of the specific embodiments or the prior art will be briefly introduced below. The drawings are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

1 is a flowchart of a thermal power equipment quality data processing method based on equipment supervision according to an embodiment of the present application;

2 is a flowchart of a thermal power equipment quality data processing method based on equipment supervision according to an embodiment of the present application;

3 is a flowchart of a thermal power equipment quality data processing method based on equipment supervision according to an embodiment of the present application;

4 is a structural block diagram of a thermal power equipment quality data processing device based on equipment supervision according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of this application.

According to an embodiment of the present application, an embodiment of a method for processing thermal power equipment quality data based on equipment supervision is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions. and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.

In this embodiment, a method for processing thermal power equipment quality data based on equipment supervision is provided, which can be used for electronic equipment, such as computers, mobile phones, tablet computers, etc. The flowchart of the data processing method, as shown in Figure 1, includes the following steps:

S11, obtaining a quality model of the target thermal power equipment.

Wherein, the quality model includes the target judgment matrix of the target layer and the criterion judgment matrix of the criterion layer, the target judgment matrix corresponds to the quality index of thermal power equipment, and the criterion judgment matrix corresponds to the quality sub-indices corresponding to each quality index correspond.

Specifically, the quality model includes at least one quality index, hereinafter denoted by B _i , i denotes the quantity of quality indices; it includes at least one quality sub-index, hereinafter denoted by C _j , j denotes the number of quality sub-indexes. A quality index corresponds to at least one quality sub-index.

Among them, the target layer is the manufacturing quality of thermal power equipment; the quality indicators include: material control (B ₁ ), welding control (B ₂ ), heat treatment control (B ₃ ) and quality assurance system (B ₄ ); the quality sub-indicators of the indicator layer include material Original quality document (C ₁ ), re-inspection report (C ₂ ), material management inspection (C ₃ ), pre-welding technical document (C ₄ ), weld appearance quality (C ₅ ), non-destructive testing (C ₆ ) , joint performance test ( _C7 ), heat treatment process review (C8), heat treatment equipment ( _C9 ), sample inspection ( _C10 ), heat treatment report ( _C11 ), quality control system ( _C12 ₎ , work document review (C ₁₃ ), personnel qualifications (C ₁₄ ). For details, please refer to Table 1:

Table 1 Quality model of target thermal power equipment

It should be noted here that the above-mentioned quality indicators and quality sub-indicators are only used as an exemplary description, and the protection scope of the present application is not limited thereto, and can be specifically set according to actual conditions.

As shown in Table 1, the quality model of the target thermal power equipment is divided into three levels, and the quality indicators in each level are as follows:

The first level: A=(B ₁ , B ₂ , B ₃ , B ₄ , B ₅ , B ₆ );

Second level: B ₁ =(C ₁ , C ₂ , C ₃ );

B ₂ =(C ₄ , C ₅ , C ₆ );

B ₃ =(C ₇ , C ₈ , C ₉ , C ₁₀ );

B ₄ =(C ₁₁ , C ₁₂ );

B ₅ =(C ₁₃ , C ₁₄ );

B ₆ =(C ₁₅ , C ₁₆ , C ₁₇ ).

Based on the above-mentioned hierarchical relationship, several judgment matrices are constructed that reflect the degree of influence of a set of evaluation indicators in the t-th layer on its corresponding one evaluation index in the t-1-th layer. The "1-9 scaling method" is used to construct the judgment matrix. The meaning of the scaling method is shown in Table 2 below:

Table 2 scaling method meaning description

The "1-9 scaling method" is used to construct a judgment matrix A for the manufacturing quality of thermal power equipment and its corresponding four quality indicators, as shown in Table 3:

Table 3 Target judgment matrix A of thermal power equipment

	材料控制Material Control	焊接控制Welding control	热处理控制Heat Treatment Control	质保体系Quality assurance system
材料控制Material Control	a ₁₁ a ₁₁	a ₁₂ a ₁₂	a ₁₃ a ₁₃	a ₁₄ a ₁₄
焊接控制Welding control	a ₂₁ a ₂₁	a ₂₂ a ₂₂	a ₂₃ a ₂₃	a ₂₄ a ₂₄
热处理控制Heat Treatment Control	a ₃₁ a ₃₁	a ₃₂ a ₃₂	a ₃₃ a ₃₃	a ₃₄ a ₃₄
质保体系Quality assurance system	a ₄₁ a ₄₁	a ₄₂ a ₄₂	a ₄₃ a ₄₃	a ₄₄ a ₄₄

The "1-9 scaling method" is used to construct a criterion matrix B ₁ for the quality index of material control and its corresponding three quality sub-indicators, as shown in Table 4:

Table 4 Material Control Criteria Judgment Matrix B ₁

	材料原始质量文件Material original quality file	入场复验报告Admission re-inspection report	材料管理检查Material Management Inspection
材料原始质量文件Material original quality file	a ₁₁ a ₁₁	a ₁₂ a ₁₂	a ₁₃ a ₁₃
入场复验报告Admission re-inspection report	a ₂₁ a ₂₁	a ₂₂ a ₂₂	a ₂₃ a ₂₃
材料管理检查Material Management Inspection	a ₃₁ a ₃₁	a ₃₂ a ₃₂	a ₃₃ a ₃₃

The "1-9 scaling method" is used to construct a criterion matrix B ₂ for the quality index of welding control and its corresponding four quality sub-indexes, as shown in Table 5:

Table 5 Welding Control Criteria Judgment Matrix B ₂

	焊前技术文件Technical documents before welding	焊缝外观质量Weld appearance quality	无损检测NDT	接头性能试验Joint performance test
焊前技术文件Technical documents before welding	a ₁₁ a ₁₁	a ₁₂ a ₁₂	a ₁₃ a ₁₃	a ₁₄ a ₁₄
焊缝外观质量Weld appearance quality	a ₂₁ a ₂₁	a ₂₂ a ₂₂	a ₂₃ a ₂₃	a ₂₄ a ₂₄
无损检测NDT	a ₃₁ a ₃₁	a ₃₂ a ₃₂	a ₃₃ a ₃₃	a ₃₄ a ₃₄
接头性能试验Joint performance test	a ₄₁ a ₄₁	a ₄₂ a ₄₂	a ₄₃ a ₄₃	a ₄₄ a ₄₄

The "1-9 scale method" is used to construct the heat treatment control criterion judgment matrix B ₃ for the quality index of heat treatment control and its corresponding 4 quality sub-indices, as shown in Table 6:

Table 6 Heat Treatment Control Criteria Judgment Matrix B ₃

The "1-9 scaling method" is used to construct a quality assurance system criterion judgment matrix B ₆ for the quality index as the quality assurance system and its corresponding two quality sub-indexes, as shown in Table 7 below:

Table 7 Quality Assurance System Criteria Judgment Matrix B ₄

	质量控制体系Quality Control System	作业文件审查Homework document review
质量控制体系Quality Control System	a ₁₁ a ₁₁	a ₁₂ a ₁₂
作业文件审查Homework document review	a ₂₁ a ₂₁	a ₂₂ a ₂₂

Through the above processing, the target judgment matrix A and the criterion judgment matrix B ₁ -B ₄ corresponding to each quality index can be obtained. Specifically, the criterion judgment matrix B1 corresponds to the quality index _- material control, the criterion judgment matrix B2 corresponds to the quality index _- welding control, the criterion judgment matrix _B3 corresponds to the quality index _- heat treatment control, and the criterion judgment matrix B4 corresponds to the quality index -Corresponding to the quality assurance system.

The quality model may be obtained by the electronic device from the outside world, or input into the electronic device by the user through human-computer interaction. The method for obtaining the quality model of the target thermal power device by the electronic device is not limited herein.

S12, based on the working environment parameters of the target thermal power equipment, determine the weights corresponding to each criterion judgment matrix.

Due to the limitation of the working environment where the target thermal power equipment is located, it is necessary to refer to its working environment parameters when determining the magnitude of the corresponding weights of each criterion judgment matrix. Wherein, the working environment parameters include working environment temperature, working environment humidity and so on.

For example, the actual working environment parameters of the target thermal power equipment may be compared with corresponding preset conditions, and the weights corresponding to each criterion judgment matrix may be determined based on the comparison results.

This step will be described in detail below.

S13: Obtain the number of devices corresponding to each mass sub-indicator in the target thermal power device.

The number of equipment corresponding to each mass sub-indicator in the target thermal power equipment can be manually analyzed for multiple target thermal power equipment to obtain the equipment with each mass sub-indicator problem. The number of devices for each quality sub-indicator.

The number of devices may be realized and stored in the electronic device, or may be obtained by the electronic device from the outside world, and so on.

S14, based on the number of devices corresponding to each quality sub-index, obtain a similarity matrix corresponding to each quality index.

Among them, fuzzy evaluation can be used for the multi-level indicators in the evaluation index in advance, and the evaluation index evaluation grade set L, L=(L1, L2, L3, L4) can be constructed, corresponding to four grades of excellent, good, medium and poor, respectively. to characterize the quality of the equipment.

The number of devices corresponding to the quality sub-indicators in each target thermal power device can be stored in the electronic device in advance, and the number of devices belonging to each evaluation level can be obtained, thereby obtaining the similarity matrix corresponding to each quality indicator.

Specifically, this step will be described in detail below.

S15, perform numerical calculation according to the weights corresponding to the judgment matrices and the corresponding similarity matrix according to each criterion, and determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment.

The electronic device can multiply the weights corresponding to each criterion judgment matrix and the corresponding similarity matrix in turn to obtain a quality index corresponding to the quality of the target thermal power equipment. After the quality index with quality problems is determined, the manufacturing parameters of the target thermal power equipment corresponding to the quality index can be adjusted.

For example, if after the above processing, it is determined that the quality index with quality problems in the target thermal power equipment is welding control, it is necessary to adjust the manufacturing parameters of the welding process; if it is determined that the quality index with quality problems in the target thermal power equipment is heat treatment control , the manufacturing parameters of the heat treatment control process need to be adjusted.

In the method for processing thermal power equipment quality data based on equipment supervision provided by this embodiment, when determining the weights corresponding to each criterion judgment matrix, it is carried out according to the working environment parameters of the target thermal power equipment. , Determining the weight based on the working environment parameters can ensure that the determined weight can meet the needs of the actual working scene, and then can ensure that the adjustment of the manufacturing parameters is carried out according to the actual problem, which ensures the quality of the thermal power equipment produced subsequently.

In this embodiment, a method for processing thermal power equipment quality data based on equipment supervision is provided, which can be used for electronic equipment, such as computers, mobile phones, tablet computers, etc. The flowchart of the data processing method, as shown in Figure 2, includes the following steps:

S21, obtaining a quality model of the target thermal power equipment.

For details, please refer to S11 of the embodiment shown in FIG. 1 , which will not be repeated here.

S22, based on the working environment parameters of the target thermal power equipment, determine the weights corresponding to each criterion judgment matrix.

For details, please refer to S12 of the embodiment shown in FIG. 2 , which will not be repeated here.

S23: Obtain the number of equipment corresponding to each mass sub-indicator in the target thermal power equipment.

For details, please refer to S13 of the embodiment shown in FIG. 2 , which will not be repeated here.

S24, based on the number of devices corresponding to each quality sub-index, obtain a similarity matrix corresponding to each quality index.

Specifically, the above S24 may include the following steps:

S241, calculate the equipment sum of the equipment numbers corresponding to all the quality sub-indicators.

As described above, an evaluation index evaluation level set L is constructed, where L=(L1, L2, L3, L4). Further, based on the quality problems found in the manufacturing process of the equipment, it can be graded according to the degree of the quality problems, and divided into first-level defects, second-level defects and third-level defects. The defects here correspond to the quality evaluation grades of thermal power equipment, and the manufacturing quality evaluation grades for thermal power equipment are constructed as shown in Table 8.

Table 8 Evaluation grades of thermal power equipment manufacturing quality

Under the guidance of the thermal power equipment manufacturing quality evaluation level shown in Table 7, the number of equipment with quality problems under each quality sub-indicator can be counted.

S242, respectively calculating the proportion of the number of devices of each quality sub-indicator in the sum of the devices, and obtaining a similarity matrix corresponding to each quality index.

Specifically, the quality sub-indicator Ci is evaluated, and the percentage statistics method is used to perform percentage statistics on the quality problem grade evaluation result as the grade similarity. For example, the total number of equipment with quality problems corresponding to the quality sub-indicator Ci is y pieces, and the sum of the equipment with quality problems at Lm level is x pieces. It can be seen that the Lm similarity of the quality sub-indicator Ci is:

_rim =x/y, (i=1, 2, . . . 18; m=1, 2, . . . 4).

Further, the level similarity matrix corresponding to the quality index can be obtained

After the above-mentioned processing, the similarity matrix corresponding to each quality index of the above-mentioned criterion layer can be obtained,

The size of each element in the similarity matrix corresponds to the evaluation index evaluation level Lm.

S25 , perform numerical calculation according to the weights corresponding to each criterion judgment matrix and the corresponding similarity matrix, and determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment.

Specifically, the above S25 may include the following steps:

S251: Calculate the product of the weight corresponding to each criterion judgment matrix and the corresponding similarity matrix, respectively, to obtain a quality evaluation matrix corresponding to each quality index.

The electronic device obtains the weights corresponding to each criterion judgment matrix after the above-mentioned processing of S22; Further, the electronic device determines the corresponding weight of the matrix by calculating each criterion

and the corresponding similarity matrix

The product of , the quality evaluation matrix corresponding to each quality index can be obtained.

Specifically, it can be expressed as follows:

S252 , based on the quality evaluation matrix corresponding to each quality index, determine the quality index corresponding to the quality problem of the target thermal power equipment.

Since the size of each element in the similarity matrix corresponds to the evaluation index evaluation level Lm, correspondingly, the size of each element in the quality evaluation moment obtained after the above S251 process also corresponds to the evaluation index evaluation level Lm. Therefore, after calculating the quality evaluation matrix corresponding to each quality index, the electronic device can determine the evaluation level corresponding to the quality index through the size of each element; and then by comparing the evaluation level corresponding to each quality index, it can be determined. The quality index corresponding to the quality problem of the target thermal power equipment.

As an optional implementation manner of this embodiment, the foregoing S252 may include the following steps:

(1) For the quality evaluation matrix corresponding to each quality index, compare the size of each element in the quality evaluation matrix, and determine the evaluation level corresponding to the quality evaluation matrix.

As mentioned above, the quality evaluation matrix corresponding to each quality index corresponds to the evaluation level of each evaluation index. According to the principle of maximum similarity, by comparing the size of each element in the same quality evaluation matrix, the corresponding quality evaluation matrix can be determined. evaluation level.

(2) Using the evaluation level corresponding to each quality index, determine the quality index corresponding to the quality problem of the target thermal power equipment.

The electronic equipment can determine which quality indexes have quality problems by comparing the evaluation levels corresponding to each quality index, so as to determine the quality indexes corresponding to the quality problems of the target thermal power equipment.

S253 , use the quality index corresponding to the quality problem to determine the manufacturing parameter of the quality index, so as to adjust the manufacturing parameter.

As mentioned above, after the electronic device determines the quality index of the quality problem in the target thermal power equipment, it can determine the manufacturing parameters corresponding to the quality index, so as to determine which manufacturing parameters need to be adjusted.

In the method for processing thermal power equipment quality data based on equipment supervision provided by this embodiment, the ratio of the number of equipment to the total equipment of each quality sub-indicator is used in the similarity calculation, so as to make the calculated similarity matrix accurate; using the quality evaluation matrix The quality sub-indices corresponding to the quality problems are determined, so that the manufacturing parameters can be adjusted in a targeted manner to ensure the manufacturing quality of the subsequent thermal power equipment.

In this embodiment, a method for processing thermal power equipment quality data based on equipment supervision is provided, which can be used for electronic equipment, such as computers, mobile phones, tablet computers, etc. FIG. 3 shows the thermal power equipment quality data based on equipment supervision according to an embodiment of the present application The flowchart of the data processing method, as shown in Figure 3, includes the following steps:

S31, obtaining a quality model of the target thermal power equipment.

For details, please refer to S21 of the embodiment shown in FIG. 2 , which will not be repeated here.

S32 , based on the working environment parameters of the target thermal power equipment, determine the weights corresponding to each criterion judgment matrix.

Specifically, the above S32 may include the following steps:

S321, judging whether the working environment temperature of the target thermal power equipment is greater than a preset temperature value.

Wherein, the working environment parameter includes working environment temperature.

When the working environment temperature of the target thermal power equipment is greater than the preset temperature value, it means that the working environment temperature of the target thermal power equipment is relatively high at this time, and its quality needs to be strictly controlled, and accordingly, a larger weight is set.

When the number of elements in the criterion judgment matrix is greater than the preset value, execute S322; otherwise, execute S323.

S322: Set the weight corresponding to the criterion judgment matrix as the first weight.

S323: Set the weight corresponding to the criterion judgment matrix as the second weight.

Wherein, the second weight is smaller than the first weight.

It should be noted that the first weight here does not refer to a weight, but a set of weight values, and the weights in the set of weight values correspond one-to-one with the criterion judgment matrix.

When the working environment temperature is high, the weight is set to a larger parameter, that is, the first weight; when the working environment temperature is low, the weight is set to a smaller parameter, that is, the second weight.

The specific numerical values of the first weight and the second weight may be set manually, or may be obtained through big data analysis, and the method for obtaining the weights is not limited herein.

S33: Obtain the number of equipment corresponding to each mass sub-indicator in the target thermal power equipment.

For details, please refer to S23 of the embodiment shown in FIG. 2 , which will not be repeated here.

S34, based on the number of devices corresponding to each quality sub-index, obtain a similarity matrix corresponding to each quality index.

For details, please refer to S24 of the embodiment shown in FIG. 2 , which will not be repeated here.

S35, carry out numerical calculation according to the weights corresponding to the judgment matrices of the respective criteria and the corresponding similarity matrix, and determine the quality indexes corresponding to the quality problems of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment.

For details, please refer to S25 of the embodiment shown in FIG. 2 , which will not be repeated here.

S36 , using the weights corresponding to each of the criterion judgment matrices, calculate and determine the weights corresponding to the target judgment matrices.

The electronic equipment also determines the quality level of the target thermal power equipment by calculating the weight W _A corresponding to the target judgment matrix and the corresponding similarity matrix. The weight of the target judgment matrix may be obtained after weighting the weight of each criterion judgment matrix.

S37, calculate the similarity matrix corresponding to the weight corresponding to the target judgment matrix and each quality index, and obtain the similarity matrix corresponding to the target thermal power equipment.

Specifically, the similarity matrix corresponding to the target thermal power equipment can be calculated by the following formula:

S38, based on the size of each element in the similarity matrix corresponding to the target thermal power equipment, determine the quality level of the target thermal power equipment.

After the electronic device calculates and obtains the similarity matrix corresponding to the target thermal power equipment, it can compare the size of each element in the similarity matrix to determine the quality level of the target thermal power equipment, and the quality level is one of the above-mentioned L1-L4. .

In the method for processing thermal power equipment quality data based on equipment supervision provided by this embodiment, the working environment temperature of the target thermal power equipment is compared with a preset temperature value, and when the temperature is greater than the preset temperature value, it indicates the working environment temperature of the target thermal power equipment at this time. If it is higher, its quality needs to be strictly controlled. Accordingly, a larger weight should be set to ensure the reliability of subsequent parameter adjustment; When the preset temperature value is used, it means that the working environment temperature of the target thermal power equipment is relatively low at this time, and the quality control is not very strict. Accordingly, a small weight is set to ensure the reliability of subsequent parameter adjustment.

In this embodiment, a thermal power equipment quality data processing device based on equipment supervision is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementations, and what has been described will not be repeated. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, implementations in hardware, or a combination of software and hardware, are also possible and contemplated.

The present embodiment provides a thermal power equipment quality data processing device based on equipment supervision, as shown in Figure 4, including:

The first obtaining module 41 is used to obtain a quality model of the target thermal power equipment, the quality model includes a target judgment matrix of the target layer and a criterion judgment matrix of the criterion layer, and the target judgment matrix corresponds to the quality index of the thermal power equipment, The criterion judgment matrix corresponds to the quality sub-indices corresponding to each of the quality indicators;

The first determination module 42 is configured to determine the weight corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment;

The second acquisition module 43 is configured to acquire the number of devices corresponding to each of the quality sub-indicators in each of the target thermal power devices;

The second determination module 44 is configured to obtain a similarity matrix corresponding to each quality index based on the number of devices corresponding to each of the quality sub-indexes;

The adjustment module 45 is used to perform numerical calculation according to the corresponding weights of each of the criterion judgment matrices and the corresponding similarity matrix, and determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment. make adjustments.

The apparatus for processing thermal power equipment quality data based on equipment supervision in this embodiment is presented in the form of functional units, where units refer to ASIC circuits, processors and memories that execute one or more software or fixed programs, and/or Other devices that can provide the above functions.

Further functional descriptions of the above-mentioned modules are the same as those of the above-mentioned corresponding embodiments, and are not repeated here.

The embodiment of the present application also provides an electronic device, which has the thermal power equipment quality data processing device based on equipment supervision shown in FIG. 4 .

Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an electronic device provided by an optional embodiment of the present application. As shown in FIG. 5, the electronic device may include: at least one processor 51, such as a CPU (Central Processing Unit, central processing unit). processor), at least one communication interface 53, memory 54, at least one communication bus 52. Among them, the communication bus 52 is used to realize the connection and communication between these components. The communication interface 53 may include a display screen (Display) and a keyboard (Keyboard), and the optional communication interface 53 may also include a standard wired interface and a wireless interface. The memory 54 may be a high-speed RAM memory (Random Access Memory, volatile random access memory), or may be a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 54 can optionally also be at least one storage device located away from the aforementioned processor 51 . The processor 51 may be combined with the device described in FIG. 4 , the memory 54 stores application programs, and the processor 51 calls the program codes stored in the memory 54 for executing any of the above method steps.

The communication bus 52 may be a peripheral component interconnect (PCI for short) bus or an extended industry standard architecture (EISA for short) bus or the like. The communication bus 52 can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in FIG. 5, but it does not mean that there is only one bus or one type of bus.

The memory 54 may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviation: RAM); the memory may also include non-volatile memory (English: non-volatile memory) memory), such as flash memory (English: flash memory), hard disk (English: hard disk drive, abbreviation: HDD) or solid-state hard disk (English: solid-state drive, abbreviation: SSD); the memory 54 may also include the above types of combination of memory.

The processor 51 may be a central processing unit (English: central processing unit, abbreviation: CPU), a network processor (English: network processor, abbreviation: NP), or a combination of CPU and NP.

The processor 51 may further include a hardware chip. The above-mentioned hardware chip may be an application-specific integrated circuit (English: application-specific integrated circuit, abbreviation: ASIC), a programmable logic device (English: programmable logic device, abbreviation: PLD) or a combination thereof. The above-mentioned PLD can be a complex programmable logic device (English: complex programmable logic device, abbreviation: CPLD), field programmable logic gate array (English: field-programmable gate array, abbreviation: FPGA), general array logic (English: generic array logic, abbreviation: GAL) or any combination thereof.

Optionally, memory 54 is also used to store program instructions. The processor 51 may invoke program instructions to implement the method for processing thermal power equipment quality data based on equipment supervision as shown in the embodiments of FIGS. 1 to 3 of the present application.

Embodiments of the present application further provide a non-transitory computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions can execute the equipment supervision-based thermal power equipment quality data in any of the foregoing method embodiments Approach. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a flash memory (Flash Memory), a hard disk (Hard) Disk Drive, abbreviation: HDD) or solid-state drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memories.

Although the embodiments of the present application are described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations all fall within the scope of the appended claims within the limits of the requirements.

Claims

A thermal power equipment quality data processing method based on equipment supervision is characterized in that, comprising:

Obtain the quality model of the target thermal power equipment, the quality model includes the target judgment matrix of the target layer and the criterion judgment matrix of the criterion layer, the target judgment matrix corresponds to the quality index of the thermal power equipment, and the criterion judgment matrix corresponds to each The quality sub-indicator corresponding to the quality index corresponds to;

Determine the weights corresponding to each of the criterion judgment matrices based on the working environment parameters of the target thermal power equipment;

Acquiring the number of devices corresponding to each of the quality sub-indicators in the target thermal power device;

Based on the number of devices corresponding to each of the quality sub-indicators, a similarity matrix corresponding to each of the quality indicators is obtained;

Numerical calculation is performed according to the weights corresponding to each of the criterion judgment matrices and the corresponding similarity matrices to determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to adjust the manufacturing parameters of the target thermal power equipment.
The method according to claim 1, wherein the working environment parameter comprises a working environment temperature, and determining the weight corresponding to each of the criterion judgment matrices based on the working environment parameter of each of the target thermal power equipment, comprising:

Judging whether the working environment temperature of the target thermal power equipment is greater than a preset temperature value;

When the working environment temperature is greater than the preset temperature value, the weight corresponding to the criterion judgment matrix is set as the first weight.
The method according to claim 2, wherein the determining the weight corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment, further comprising:

When the working environment temperature is less than or equal to the preset temperature value, the weight corresponding to the criterion judgment matrix is set as a second weight, and the second weight is smaller than the first weight.
The method according to claim 1, wherein the determining a similarity matrix corresponding to each quality index based on the number of devices corresponding to each of the quality sub-indexes comprises:

calculating the sum of the devices corresponding to the number of devices for all said mass sub-indices;

The ratio of the number of devices of each of the quality sub-indicators to the sum of the devices is calculated respectively, and a similarity matrix corresponding to each of the quality indicators is obtained.
The method according to claim 4, wherein the weights corresponding to the judgment matrices according to the respective criteria and the corresponding similarity matrices are numerically calculated to determine the quality indicators corresponding to the quality problems of the target thermal power equipment, to Adjust the manufacturing parameters of the target thermal power equipment, including:

Calculate the product of the weight corresponding to each described criterion judgment matrix and the corresponding similarity matrix respectively, and obtain the quality evaluation matrix corresponding to each described quality index;

Determine the quality index corresponding to the quality problem of the target thermal power equipment based on the quality evaluation matrix corresponding to each of the quality indexes;

Using the quality index corresponding to the quality problem, the manufacturing parameter of the quality index is determined, so as to adjust the manufacturing parameter.
The method according to claim 5, wherein, determining the quality index corresponding to the quality problem of the target thermal power equipment based on the quality evaluation matrix corresponding to each of the quality indexes, comprising:

For the quality evaluation matrix corresponding to each of the quality indicators, compare the size of each element in the quality evaluation matrix, and determine the evaluation level corresponding to the quality evaluation matrix;

The quality index corresponding to the quality problem of the target thermal power equipment is determined by using the evaluation level corresponding to each of the quality indexes.
The method according to claim 1, wherein the method further comprises:

Use the weights corresponding to each of the criterion judgment matrices to calculate the weights corresponding to the target judgment matrices;

Calculate the similarity matrix corresponding to the weight corresponding to the target judgment matrix and each of the quality indicators to obtain the similarity matrix corresponding to the target thermal power equipment;

The quality level of the target thermal power equipment is determined based on the size of each element in the similarity matrix corresponding to the target thermal power equipment.
A thermal power equipment quality data processing device based on equipment supervision is characterized in that, comprising:

The first acquisition module is used to acquire the quality model of the target thermal power equipment, the quality model includes the target judgment matrix of the target layer and the criterion judgment matrix of the criterion layer, and the target judgment matrix corresponds to the quality index of the thermal power equipment. The criterion judgment matrix corresponds to the quality sub-indices corresponding to each of the quality indicators;

a first determination module, configured to determine the weight corresponding to each of the criterion judgment matrices based on the working environment parameters of each of the target thermal power equipment;

a second acquiring module, configured to acquire the number of devices corresponding to each of the mass sub-indicators in each of the target thermal power devices;

a second determination module, configured to obtain a similarity matrix corresponding to each quality index based on the number of devices corresponding to each of the quality sub-indexes;

The adjustment module is used to perform numerical calculation according to the corresponding weights of each said criterion matrix and the corresponding similarity matrix, and determine the quality index corresponding to the quality problem of the target thermal power equipment, so as to carry out the calculation of the manufacturing parameters of the target thermal power equipment. Adjustment.
An electronic device, comprising:

A memory and a processor, the memory and the processor are connected in communication with each other, the memory stores computer instructions, and the processor executes any one of claims 1-7 by executing the computer instructions The described method for processing thermal power equipment quality data based on equipment supervision.
A computer-readable storage medium, characterized in that, the computer-readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the device-based supervision according to any one of claims 1-7 The thermal power equipment quality data processing method.