CN108734416A - Large Complex Equipment health state evaluation method based on environmental information - Google Patents
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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
Technical field
The Large Complex Equipment health state evaluation method based on environmental information that the present invention relates to a kind of, belongs to health status
Assessment technology field.
Background technology
It is well known that different mission profiles includes different environmental factor, different environmental factors is to identical product
There is different environment to influence, different environment influences to generate different failure modes and mechanisms.Document is pointed out：" equipment (material
Material) failure is a bulk properties, it is determined by the physical and chemical process generated inside element.But the feelings that these processes generate
Condition then depends on external factor, is dependent firstly on the temperature and humidity of medium ".It can from Large Complex Equipment Analysis on Typical Faults
To find out, the health status of the subtle influence Large Complex Equipment of all kinds of environment even results in the generation of various failures, because
This, invention is a kind of can effective, quantitative, objective, science the Large Complex Equipment health state evaluation side based on environmental information
Method is very necessary.
Invention content
Technical problem to be solved by the present invention lies in provide a kind of Large Complex Equipment health shape based on environmental information
State appraisal procedure determines the environmental index and parameter weight for influencing Large Complex Equipment health status, defines environmental information
Grading standard analyzes environmental information project evaluation chain value, establishes magnitude domain and the universe of environmental information, calculate each environmental information
The index degree of association and Synthesis Relational Grade realize that the assessment of Large Complex Equipment health status, specific appraisal procedure are as follows：
1. health status grade classification：In order to preferably describe the health status of Large Complex Equipment, by large complicated dress
Standby health status is divided into 5 grade Nj(j=1,2 ..., 5), respectively：Well, normally, pay attention to, deteriorate and morbid state.
2. environmental information index and weight：Environmental information shares 6 index CiIt is (i=1,2 ..., 6), respectively temperature, wet
Degree, mould, impact, salt fog, sand and dust, each index weights use expert estimation.It is based on step analysis according to expert estimation situation
Method carries out weight analysis to environmental information index.
3. environmental information grading standard：Defining influences Large Complex Equipment health status environmental factor divided rank mark
It is accurate as follows：
(1) the environmental index parameter of kilter is：Temperature is in 10 DEG C -15 DEG C ranges, and humidity is in 45% -55%
Range, mould are 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, at sand and dust
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, at humidity
In 40% -45% or 55% -60% range, mould is in 20 points -40 points ranges, and impact is in 20 points -40 points ranges, salt
Mist is in 20 points -40 points ranges, and 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, at humidity
In 10% -30% or 70% -90% range, mould is in 60 points -80 points ranges, and impact is in 60 points -80 points ranges, salt
Mist is in 60 points -80 points ranges, and 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, humidity
In 0% -10% or 90% -100% range, mould is in 80 points -100 points ranges, and impact is in 80 points -100 points models
It encloses, salt fog is in 80 points -100 points ranges, and sand and dust are in 80 points -100 points ranges.
(4) the project evaluation chain value of each environmental information index is determined：Wherein temperature and humidity data are with reference to environmental monitoring number
According to average computation, impact, mould, salt fog and sand and dust data are mainly provided by expert estimation.The project evaluation chain of environmental information index
Value is denoted as：
V={ v1,v2,v3,v4,v5,v6}
(5) magnitude domain and the universe of environmental information are established, the degree of association evaluation of environmental information grade is carried out.
The magnitude domain of environmental information is determined first with formula (1)；
In formula, NjJ-th of health status grade that (j=1,2 ..., 5) is divided by Large Complex Equipment health status；Ci
(i=1,2 ..., 6) is i-th of index in environmental information index；VjiIndicate NjAbout index CiActual amplitudes range, i.e.,
Magnitude domain；
Then formula (2) is utilized to determine the universe of environmental information；
In formula, NpIndicate the entirety of Large Complex Equipment health status grade；VpiIndicate NpAbout environmental information index Ci's
Whole value ranges, i.e. universe；
Again 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 formula (3) establish environmental information index evaluation quantization matrix：
The degree of association of each environmental information index about each health status grade is calculated using formula (4)：
In formula, Kj(vi) indicate the degree of association of i-th of environmental information index about j-th of health status grade；
|vji| indicate index CiMagnitude range L T.LT.LT a, the b > of defined, | vji|=| b-a |；
ρ(vi,vji)、ρ(vi,vpi) point v is indicated respectivelyiWith section vji、vpiAway from, with formula (5) calculate；
In formula, ρ (x, X) indicate point x and section X=< a, b > away from.
(6) degree of association evaluation result based on environmental information grade assesses Large Complex Equipment health status grade.
The degree of association according to each environmental information index about each health status grade is weighted summation using formula (6)
It can obtain the Synthesis Relational Grade in health status grade j.
In formula, Kj(Nj) synthesis correlation degree of the expression about health status grade j, value is bigger, indicates the degree met
It is higher.
αiIndicate the weight of each environmental information index,
If Kj=maxKj(Nj), then it evaluates Large Complex Equipment health status and belongs to grade j.
Description of the drawings
Large Complex Equipment health state evaluation method flows of the Fig. 1 based on environmental information.
Specific implementation mode
Originally embodiment is named, the present invention will be described in detail.As shown in Figure 1, based on the large complicated of environmental information
It is as follows to equip health state evaluation method flow：
1. health status grade classification
In order to preferably describe the health status of Large Complex Equipment, Large Complex Equipment health status is divided into 5 etc.
Grade Nj(j=1,2 ..., 5), respectively：Well, normally, pay attention to, deteriorate and morbid state.
2. environmental information index and weight
Environmental information shares 6 index Ci(i=1,2 ..., 6), respectively temperature, humidity, mould, impact, salt fog, sand
Dirt.6 experts are asked to give a mark according to table 1.It is based on analytic hierarchy process (AHP) according to expert estimation situation and weight is carried out to evaluation index
Analysis, the weight for obtaining 6 indexs of environmental information are (0.2613,0.256,0.174,0.1597,0.0848,0.0642).
3. environmental information grading standard
Defining influences Large Complex Equipment health status environmental factor divided rank standard, as shown in table 1.
1 each grading standard of Large Complex Equipment environmental factor of table
4. determining the project evaluation chain value of environmental information index.According to the temperature and wet of Large Complex Equipment storage warehouse monitoring
Degrees of data, be averaged obtain temperature and humidity project evaluation chain value, respectively 15 DEG C and 42%, impact, mould, salt fog and
Sand and dust data are mainly provided by expert estimation, and respectively 10,45,25,22.The project evaluation chain value of 6 environmental information indexs is denoted as：
V={ v1,v2,v3,v4,v5,v6}={ 15,42,10,45,25,22 }
5. establishing magnitude domain and the universe of environmental information, carry out the degree of association evaluation of environmental information grade.
1. determining environmental information magnitude domain
Data in table 2 are substituted into formula (1) and obtain environmental information in five kinds of good, normal, attention, deterioration and morbid state etc.
Magnitude domain under grade state is respectively R1、R2、R3、R4And R5。
2. determining universe
It is as follows that data substitution formula (2) in table 2 is obtained into environmental information universe：
3. establishing environmental information index evaluation quantization matrix
By environmental information target temperature, humidity, mould, impact, salt fog, sand and dust project evaluation chain value V={ v1,v2,v3,
v4,v5,v6}={ 15,42,10,45,25,22 } substitute into formula (3) establish environmental information index evaluation quantization matrix：
4. calculating the degree of association of each environmental information index about each health status grade
By environmental information magnitude domain Vji, universe VpiAnd each environmental information project evaluation chain value V={ v1,v2,v3,v4,v5,
v6Bring the degree of association of formula (4) and each environmental information index of formula (5) calculating about each health status grade into.If wherein certain
The magnitude domain of certain Health Category of environmental information index be two sections and, and the quantized value that expert's assessment provides is located at this
In Health Category, then with compared with calculating correlation between near region.
Such as the magnitude domain of the normal healthy state grade of humidity index is (40,45) ∪ (55,60), expert's quantized value is
42,42 are located within (40,45) ∪ (55,60) section, then calculate the degree of association of 42 and section (40,45), and specific implementation is as follows：
Each environmental information index the results are shown in Table 2 about the calculation of relationship degree of each health status grade.
2 each environmental information index degree of association of table
6. the degree of association evaluation result based on environmental information grade assesses Large Complex Equipment health status grade.
By the weight α of 6 indexs of environmental informationi(0.2613,0.256,0.174,0.1597,0.0848,0.0642) with
And each environmental information index degree of association substitutes into synthesis correlation degree of formula (6) calculating about health status grade j in table 3, if
Kj=maxKj(Nj), then it evaluates Large Complex Equipment health status and belongs to grade j, concrete outcome is as shown in table 3.
The Synthesis Relational Grade of 3 health status grade of table
As can be seen from the above table the Synthesis Relational Grade vector of each health status grade of Large Complex Equipment be (- 0.024,
0.132, -0.387, -0.369, -0.496), maxKj(Nj)=0.132 shows that Large Complex Equipment health status grade is just
Often.
Therefore, the Large Complex Equipment health state evaluation method provided in this embodiment based on environmental information is taken, it is first
Health status grade is first defined, determine the environmental index for influencing Large Complex Equipment health status and is calculated based on analytic hierarchy process (AHP)
Index weights define environmental information grading standard, determine environmental information project evaluation chain value, establish the magnitude domain of environmental information
And universe, calculate each ring using environmental information magnitude domain, universe and specific environment information evaluation quantized value and each index weights
The border information index degree of association and Synthesis Relational Grade realize the assessment of Large Complex Equipment health status.
In conclusion the above is merely preferred embodiments of the present invention, being not intended to limit the scope of the present invention.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in the present invention's
Within protection domain.
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 Nj(j=1,2 ...,
5), respectively：Well, normally, pay attention to, deteriorate and morbid state；
Step 2：It determines environmental information index, shares 6 index Ci(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 Rj
In formula, NjJ-th of health status grade that (j=1,2 ..., 5) is divided by Large Complex Equipment health status；Ci(i=
1,2 ..., 6) be environmental information index in i-th of index；VjiIndicate NjAbout index CiActual amplitudes range, i.e. magnitude
Domain；
Step B：Determine environmental information universe Rp
In formula, NpIndicate the entirety of Large Complex Equipment health status grade；VpiIndicate NpAbout environmental information index CiWhole
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, Kj(vi) indicate the degree of association of i-th of environmental information index about j-th of health status grade；
|vji| indicate index CiMagnitude range L T.LT.LT a, the b > of defined, | vji|=| b-a |；
ρ(vi,vji)、ρ(vi,vpi) point v is indicated respectivelyiWith section vji、vpiAway 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, Kj(Nj) 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；
αiIndicate the weight of each environmental information index,
If Kj=max Kj(Nj), then it evaluates Large Complex Equipment health status and belongs to grade j.
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Cited By (2)
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| CN112504348A (en) * | 2020-12-11 | 2021-03-16 | 厦门汇利伟业科技有限公司 | Object state display method and system fusing environmental factors |
| CN112766628A (en) * | 2020-08-26 | 2021-05-07 | 中铁电气工业有限公司 | Method for comprehensively evaluating health state of prefabricated substation |
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