CN108734416A - Large Complex Equipment health state evaluation method based on environmental information - Google Patents

Abstract

The Large Complex Equipment health state evaluation method based on environmental information that the present invention provides a kind of, specially：Health status grade is defined first, it determines the environmental index for influencing Large Complex Equipment health status and is based on analytic hierarchy process (AHP) parameter weight, define environmental information grading standard, determine environmental information project evaluation chain value, establish magnitude domain and the universe of environmental information, each environmental information index degree of association and Synthesis Relational Grade are calculated using environmental information magnitude domain, universe and specific environment information evaluation quantized value and each index weights, realizes the assessment of Large Complex Equipment health status.

Description

Health status assessment method for large complex equipment based on environmental information

technical field

The invention relates to a method for evaluating the health status of large and complex equipment based on environmental information, and belongs to the technical field of health status evaluation.

Background technique

As we all know, different task profiles contain different environmental factors, and different environmental factors have different environmental impacts on the same product, and different environmental impacts produce different failure modes and mechanisms. The literature points out: "Equipment (material) failure is an internal characteristic, which is determined by the physical and chemical processes generated inside the component. But the conditions generated by these processes depend on external factors, first of all, on the temperature and humidity of the medium." From the analysis of typical failures of large and complex equipment, it can be seen that various environments imperceptibly affect the health status of large and complex equipment, and even lead to various failures. Therefore, an effective, quantitative, objective and scientific environmental information-based The health status assessment method of large and complex equipment is very necessary.

Contents of the invention

The technical problem to be solved by the present invention is to provide a method for evaluating the health status of large-scale and complex equipment based on environmental information, determine the environmental indicators that affect the health status of large-scale and complex equipment and calculate the weight of the indicators, define the classification standard of environmental information, and analyze the evaluation and quantification of environmental information value, establish the quantitative value range and global domain of environmental information, calculate the correlation degree and comprehensive correlation degree of each environmental information index, and realize the evaluation of the health status of large and complex equipment. The specific evaluation steps are as follows:

1. Classification of health status: In order to better describe the health status of large and complex equipment, the health status of large and complex equipment is divided into five levels N _j (j=1,2,…,5), respectively: good, normal , attention, aggravation and morbidity.

2. Environmental information indicators and weights: There are 6 environmental information indicators C _i (i=1,2,…,6), which are temperature, humidity, mold, impact, salt spray, and dust. The weights of each indicator are scored by experts . According to the experts' scoring situation, the weight analysis of the environmental information indicators is carried out based on the analytic hierarchy process.

3. Classification standard of environmental information: define the classification standard of environmental factors that affect the health status of large and complex equipment as follows:

(1) The environmental index parameters in good condition are: the temperature is in the range of 10°C-15°C, the humidity is in the range of 45%-55%, the mold is in the range of 0-20 points, the impact is in the range of 0-20 points, and the salt spray is in the range of 0-20 points. In the range of 0-20 points, the dust is in the range of 0-20 points;

(2) The environmental index parameters in the normal state are: the temperature is in the range of 5°C-10°C or 15°C-20°C, the humidity is in the range of 40%-45% or 55%-60%, and the mold is in the range of 20-40 minutes. The impact is in the range of 20-40 minutes, the salt spray is in the range of 20-40 minutes, and the dust is in the range of 20-40 minutes;

(3) The environmental index parameters of the state of attention are: the temperature is in the range of 0°C-5°C or 20°C-25°C, the humidity is in the range of 30%-40% or 60%-70%, and the mold is in the range of 40-60 minutes. The impact is in the range of 40-60 points, the salt spray is in the range of 40-60 points, and the dust is in the range of 40-60 points;

(4) The environmental index parameters of the deteriorating state are: the temperature is in the range of -5°C-0°C or 25°C-30°C, the humidity is in the range of 10%-30% or 70%-90%, and the mold is in the range of 60-80 points , the impact is in the range of 60-80 points, the salt spray is in the range of 60-80 points, and the dust is in the range of 60-80 points;

(5) The environmental index parameters of the sick state are: the temperature is in the range of -55°C--5°C or 30°C-60°C, the humidity is in the range of 0%-10% or 90%-100%, and the mold is in the range of 80-100 points Range, the impact is in the range of 80-100 points, the salt spray is in the range of 80-100 points, and the dust is in the range of 80-100 points.

(4) Determine the quantitative evaluation value of each environmental information index: the temperature and humidity data are averaged with reference to the environmental monitoring data, and the impact, mold, salt spray and dust data are mainly given by experts. The evaluation and quantitative value of the environmental information index is recorded as:

V＝{v ₁ ,v ₂ ,v ₃ ,v ₄ ,v ₅ ,v ₆ }

(5) Establish the quantitative value domain and the whole domain of environmental information, and carry out the evaluation of the correlation degree of environmental information level.

First, use the formula (1) to determine the magnitude range of the environmental information;

In the formula, N _j (j=1,2,...,5) is the jth health status level divided by the health status of large and complex equipment; C _i (i=1,2,...,6) is the environmental information index The i-th index of ; V _ji represents the actual value range of N _j with respect to index C _i , that is, the value domain;

Then use the formula (2) to determine the universe of environmental information;

In the formula, N _p represents the entirety of the health status level of large and complex equipment; V _pi represents the entire value range of N _p with respect to the environmental information index C _i , that is, the whole domain;

Substituting the evaluation quantification value V={v ₁ ,v ₂ ,v ₃ ,v ₄ ,v ₅ ,v ₆ } of the environmental information indicators temperature, humidity, mold, impact, salt spray, and sand dust into the formula (3) to establish the environment Information index evaluation quantification matrix:

Use the formula (4) to calculate the correlation degree of each environmental information index with respect to each health status level:

In the formula, K _j (v _i ) represents the correlation degree of the i-th environmental information index with respect to the j-th health status level;

|v _ji | indicates the magnitude range <a, b> stipulated by the index C _i , |v _ji |=|ba|;

ρ(v _i , v _ji ), ρ(v _i , v _pi ) represent the distances between point v _i and interval v _ji , v _pi respectively, calculated by formula (5);

In the formula, ρ(x,X) represents the distance between point x and interval X=<a,b>.

(6) Evaluate the health status level of large and complex equipment based on the evaluation results of the correlation degree of the environmental information level.

According to the correlation degree of each environmental information index with respect to each health state level, the comprehensive correlation degree at the health state level j can be obtained by using the formula (6) to weight and sum them.

In the formula, K _j (N _j ) represents the comprehensive correlation degree with respect to the health status level j, and the larger the value, the higher the degree of conformity.

α _i represents the weight of each environmental information index,

If K _j =maxK _j (N _j ), then the evaluation of the health status of large and complex equipment belongs to level j.

Description of drawings

Figure 1. Flowchart of health status assessment method for large and complex equipment based on environmental information.

Detailed ways

The following examples are given to describe the present invention in detail. As shown in Figure 1, the health status assessment method flow of large and complex equipment based on environmental information is as follows:

1. Classification of health status

In order to better describe the health status of large and complex equipment, the health status of large and complex equipment is divided into five levels N _j (j=1,2,…,5), which are: good, normal, attention, deterioration and sickness.

2. Environmental information indicators and weights

There are 6 indicators C _i (i=1,2,...,6) of environmental information, which are temperature, humidity, mold, impact, salt spray, and dust. According to Table 1, 6 experts were invited to score. According to the expert's scoring situation, the weight analysis of the evaluation indicators is carried out based on the analytic hierarchy process, and the weights of the six environmental information indicators are (0.2613, 0.256, 0.174, 0.1597, 0.0848, 0.0642).

3. Classification criteria for environmental information

Define the classification standard of environmental factors that affect the health status of large and complex equipment, as shown in Table 1.

Table 1 Classification criteria for each level of environmental factors of large and complex equipment

4. Determine the evaluation quantitative value of the environmental information index. According to the temperature and humidity data monitored in large and complex equipment storage warehouses, calculate the average value to obtain the quantitative evaluation value of temperature and humidity, which are 15°C and 42% respectively. The data of impact, mold, salt spray and sand dust are mainly given by experts. , which are 10, 45, 25, and 22 respectively. The quantitative evaluation values of the six environmental information indicators are recorded as:

V={v ₁ ,v ₂ ,v ₃ ,v ₄ ,v ₅ ,v ₆ }={15,42,10,45,25,22}

5. Establish the quantitative value domain and the whole domain of environmental information, and carry out the evaluation of the correlation degree of environmental information level.

① Determine the value range of environmental information

Substituting the data in Table 2 into formula (1), the magnitude ranges of environmental information in the five levels of good, normal, attention, deterioration, and pathological are R ₁ , R ₂ , R ₃ , R ₄ , and R ₅ .

②Determine the whole domain

Substituting the data in Table 2 into formula (2) to obtain the whole domain of environmental information is as follows:

③Establishment of environmental information index evaluation quantitative matrix

Quantify the evaluation values of environmental information indicators temperature, humidity, mold, impact, salt spray, and dust V={v ₁ ,v ₂ ,v ₃ ,v ₄ ,v ₅ ,v ₆ }={15,42,10, 45,25,22} Substitute into formula (3) to establish a quantitative matrix for the evaluation of environmental information indicators:

④ Calculate the correlation degree of each environmental information index with respect to each health status level

Bring the value range V _ji of the environmental information, the global V _pi and the quantified values of each environmental information assessment V={v ₁ , v ₂ , v ₃ , v ₄ , v ₅ , v ₆ } into formula (4) and formula (5 ) to calculate the correlation degree of each environmental information index with respect to each health status level. If the magnitude range of a certain health level of one of the environmental information indicators is the union of two intervals, and the quantitative value given by the expert assessment is within this health level, then calculate the degree of correlation with the closer interval.

For example, the value range of the normal health status level of the humidity index is (40,45)∪(55,60), and the quantified value of experts is 42, and 42 is within the interval of (40,45)∪(55,60), then the calculation The degree of correlation between 42 and the interval (40,45) is specifically implemented as follows:

The calculation results of the correlation degree of each environmental information index with respect to each health status level are shown in Table 2.

Table 2 Correlation degree of each environmental information index

6. Evaluate the health status level of large and complex equipment based on the evaluation results of the correlation degree of the environmental information level.

Substitute the weight α _i (0.2613, 0.256, 0.174, 0.1597, 0.0848, 0.0642) of the six environmental information indicators and the correlation degree of each environmental information index in Table 3 into the formula (6) to calculate the comprehensive correlation degree of the health status level j, if K _j ＝maxK _j (N _j ), then the health status of large and complex equipment is assessed as belonging to level j, and the specific results are shown in Table 3.

Table 3 Comprehensive correlation degree of health status level

It can be seen from the above table that the comprehensive correlation degree vector of each health state level of large-scale and complex equipment is (-0.024, 0.132, -0.387, -0.369, -0.496), maxK _j (N _j ) = 0.132, indicating the health state of large-scale and complex equipment Grade is normal.

Therefore, adopting the health status assessment method for large-scale and complex equipment based on environmental information provided in this embodiment, first define the health status level, determine the environmental indicators that affect the health status of large-scale and complex equipment, calculate the weight of the indicators based on the AHP, and define the division of environmental information levels Standards, determine the quantitative value of environmental information assessment, establish the quantitative value range and global domain of environmental information, use the quantitative value of environmental information quantitative value range, global domain and specific environmental information assessment, and the weight of each indicator to calculate the correlation degree and comprehensive correlation degree of each environmental information index, Realize the assessment of the health status of large and complex equipment.

To sum up, the above are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (4)

1. a kind of Large Complex Equipment health state evaluation method based on environmental information, it is characterised in that comprise the steps of：

Step 1：Health status grade classification is defined, Large Complex Equipment health status is divided into 5 grade N_j(j=1,2 ..., 5), respectively：Well, normally, pay attention to, deteriorate and morbid state；

Step 2：It determines environmental information index, shares 6 index C_i(i=1,2 ..., 6), respectively temperature, humidity, mould, punching It hits, salt fog, sand and dust, each environmental index weight uses expert estimation, and analytic hierarchy process (AHP) is based on to ring according to expert estimation situation Border information index carries out weight analysis；

Step 3：Defining influences Large Complex Equipment health status environmental factor divided rank standard；

Step 4：Determine the project evaluation chain value of environmental information index, wherein temperature and humidity data are with reference to environmental monitoring data meter It calculates average value to obtain, impact, mould, salt fog and sand and dust data are mainly provided by expert estimation due to lacking effective monitoring means；

Step 5：It determines environmental information set, carries out the degree of association evaluation of environmental information grade；

Step 6：Degree of association evaluation result based on environmental information grade assesses Large Complex Equipment health status grade.

2. the Large Complex Equipment health state evaluation method based on environmental information as described in claim 1, which is characterized in that Environmental factor divided rank standard described in step 3 is：

(1) the environmental index parameter of kilter is：Temperature is in 10 DEG C -15 DEG C ranges, and humidity is in 45% -55% model It encloses, mould is in 0 point -20 points ranges, and impact is in 0 point -20 points ranges, and salt fog is in 0 point -20 points ranges, and sand and dust are in 0 point -20 points ranges；

(2) the environmental index parameter of normal condition is：Temperature is in 5 DEG C -10 DEG C or 15 DEG C -20 DEG C ranges, humidity are in 40% -45% or 55% -60% range, mould are in 20 points -40 points ranges, and impact is in 20 points -40 points ranges, salt fog In 20 points -40 points ranges, sand and dust are in 20 points -40 points ranges；

(3) the environmental index parameter of attention state is：Temperature is in 0 DEG C -5 DEG C or 20 DEG C -25 DEG C ranges, humidity are in 30% -40% or 60% -70% range, mould are in 40 points -60 points ranges, and impact is in 40 points -60 points ranges, salt fog In 40 points -60 points ranges, sand and dust are in 40 points -60 points ranges；

(4) the environmental index parameter of degradation mode is：Temperature is in -5 DEG C -0 DEG C or 25 DEG C -30 DEG C ranges, humidity are in 10% -30% or 70% -90% range, mould are in 60 points -80 points ranges, and impact is in 60 points -80 points ranges, salt fog In 60 points -80 points ranges, sand and dust are in 60 points -80 points ranges；

(5) the environmental index parameter of ill state is：Temperature is in -55 DEG C--5 DEG C or 30 DEG C -60 DEG C ranges, and humidity is in 0% -10% or 90% -100% range, mould are in 80 points -100 points ranges, and impact is in 80 points -100 points ranges, salt Mist is in 80 points -100 points ranges, and sand and dust are in 80 points -100 points ranges.

3. the Large Complex Equipment health state evaluation method based on environmental information, feature exist as claimed in claim 1 or 2 The Relational Evaluation method of the environmental information grade described in step 5 includes the following steps：

Step A：Determine environmental information magnitude domain R_j

In formula, N_jJ-th of health status grade that (j=1,2 ..., 5) is divided by Large Complex Equipment health status；C_i(i= 1,2 ..., 6) be environmental information index in i-th of index；V_jiIndicate N_jAbout index C_iActual amplitudes range, i.e. magnitude Domain；

Step B：Determine environmental information universe R_p

In formula, N_pIndicate the entirety of Large Complex Equipment health status grade；V_piIndicate N_pAbout environmental information index C_iWhole Value range, i.e. universe；

Step C：By environmental information target temperature, humidity, mould, impact, salt fog, sand and dust project evaluation chain value V={ v₁,v₂,v₃, v₄,v₅,v₆Substitute into following formula establish environmental information index evaluation quantization matrix：

Step D：Determine the degree of association of each environmental information index about each health status grade：

In formula, K_j(v_i) indicate the degree of association of i-th of environmental information index about j-th of health status grade；

|v_ji| indicate index C_iMagnitude range L T.LT.LT a, the b > of defined, | v_ji|=| b-a |；

ρ(v_i,v_ji)、ρ(v_i,v_pi) point v is indicated respectively_iWith section v_ji、v_piAway from, with formula (5) calculate；

In formula, ρ (x, X) indicate point x and section X=< a, b > away from.

4. the Large Complex Equipment health state evaluation method based on environmental information, feature exist as claimed in claim 1 or 2 The degree of association evaluation result based on environmental information grade described in step 6, assessment Large Complex Equipment health status grade include Following steps：

The degree of association according to each environmental information index about each health status grade is weighted summation using formula (6) Obtain the Synthesis Relational Grade in health status grade j；

In formula, K_j(N_j) synthesis correlation degree of the expression about health status grade j, value is bigger, indicates that the degree met is got over It is high；

α_iIndicate the weight of each environmental information index,

If K_j=max K_j(N_j), then it evaluates Large Complex Equipment health status and belongs to grade j.