CN109521149A - A kind of Air Quality Evaluation method - Google Patents
A kind of Air Quality Evaluation method Download PDFInfo
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Abstract
The present invention provides a kind of Air Quality Evaluation method, belong to Air Quality Evaluation technical field, the present invention passes through screening air quality impact factor, a series of pre-processing is carried out to impact factor, including evaluation of estimate, proportion, routine evaluations coefficient, dynamic evaluation coefficient and affiliated subordinating degree function, so that synthetic evaluation matrix is obtained, so that the precision of evaluation is more accurate, so that fewer to the operation of the process of evaluation, real-time update detects overall merit.
Description
Technical field
It is specifically to be related to a kind of Air Quality Evaluation method the present invention relates to air quality overall merit field.
Background technique
Air quality problems become increasingly conspicuous, and people also more pay attention to the environmental quality of own existence, wherein for sky
The concern of makings amount is wherein one of the most outstanding.People want outdoor activities in life, when focusing on the work and rest of health again
Between, but the air quality of oneself a small range at one's side is known nothing, especially real-time air quality.Small range area at present
Air quality does not have a real-time predictor in domain, inform people whether suitable for outdoors activity, this to people's health life and
Work and rest causes inconvenience to a certain extent.
Existing Air Quality Evaluation and prediction are not directed to city but both for the bulk zone (area's rank) in city
The Real-Time Evaluation apparatus and method in space small range region.
Existing conventional air quality evaluating method cannot adapt to the air quality new standard that country implements at present very well and comment
Valence, robustness is poor, very poor for the adaptability of noise data.
In addition, existing city air quality assessment device is attributed to the management of meteorological and environmental protection administration mostly, cannot have in time
Local cell domain Air Quality information is published to client by effect ground and it is necessary to have client terminal hardware and software branch
It holds, it is very inconvenient for the public.
Summary of the invention
The present invention provides a kind of Air Quality Evaluation method, and it is not high to solve existing air quality appraisal procedure accuracy, no
The problem of energy real-time update detection overall merit.
The present invention solves the above problems by the following technical programs:
A kind of Air Quality Evaluation method, includes the following steps:
Step 1: selecting influences the Air Quality Evaluation factor, and evaluation points are sorted out division processing；
Step 2: establishing the evaluation value matrix R=(r of the Air Quality Evaluation factorij)m×n, wherein n is evaluation points number,
M is the item number of needs assessment in air, wherein rijFor the evaluation of estimate of i-th of project under j-th of factor；
Step 3: to evaluation value matrix R=(rij)m×nIt is normalized to obtain matrix R=(rij)m×n', it asks simultaneously
Each evaluation of estimate r outijPositve term evaluation of estimate rij' and reverse evaluation of estimate rij', wherein positve term evaluation of estimate and reverse evaluation of estimate use
Identical letter indicates that positve term evaluation of estimate indicates that the evaluation of estimate of forward sequence, reverse evaluation of estimate are the evaluation of estimate of reverse sequence,
It is numerically equal；
Step 4: calculating shared ratio of the evaluation of estimate of each factor in evaluation system；
Step 5: calculating each factor evaluation value size；
Step 6: finding out the routine evaluations coefficient and dynamic evaluation coefficient of each factor；
Step 7: corresponding subordinating degree function is chosen according to the dynamic evaluation coefficient of each factor；
Step 8: synthetic evaluation matrix is constructed according to the subordinating degree function of each factor；
Step 9: detecting air component using device for detecting air content, obtain the item number of needs assessment；
Step 10: the item number of needs assessment being input to conjunction evaluations matrix and weighted calculation model carries out that sky is calculated
Gas comprehensive evaluation value.
In above scheme, the foundation of impact factor collection is screened in preferably rapid 1 are as follows: value matrix R is evaluated in the step 2
=(rij)m×nParticular content are as follows:
In above scheme, the process of ratio is calculated preferably in step 4 are as follows:
Wherein pijFor ratio of each factor shared by evaluation system, rijFor the evaluation of lower i-th project of j-th of factor
Value, the j factor are number, and i is item number.
In above scheme, the preferably size of step 5 Calculation Estimation value are as follows:
Wherein, k=1/lnm, pijFor ratio of each factor shared by evaluation system, the j factor is number, and i is item number, m
For positive integer.
Routine evaluations coefficient is calculated in above scheme, preferably in step 6 and the volume of dynamic evaluation coefficient proposes absolutely process
Are as follows:
Routine evaluations coefficient:
Wherein ejFor evaluation of estimate；
Dynamic evaluation coefficient:
Wherein, w'iFor the dynamic evaluation coefficient of i-th factor, m is two layers of factor number corresponding to the factor, xiIt is i-th
Value after factor standard.
In above scheme, preferably subordinating degree function includes ladder type subordinating degree function, Γ type subordinating degree function and K throwing
Object line style subordinating degree function,
Ladder type subordinating degree function are as follows:
Wherein, the value of p, q are the bound of demand value；
Γ type subordinating degree function:
Wherein, k is used to adjust the tangent slope of starting point；
K parabolic type subordinating degree function:
The value of p, q are the bound of demand value, and the value of k is 2.
In above scheme, evaluations matrix preferably is closed in step 8 are as follows:
Wherein, Bij=[bj1,bj2,bj3,bj4,bj5], bj1、bj2、bj3、bj4、bj5The jth being expressed as in i-th of state layer
The membership grade sets of a factor.
In above scheme, preferably weighted calculation model are as follows:
Wherein, wherein Cj is final membership grade sets, and wj, bj correspond to the weighted value of its each factor and be subordinate to angle value, and j is every
The mark that a quantity of state is distinguished, k are count number, and N is factor sum, wkFor factorial power sets corresponding to each factor, bkjFor
Each factor is corresponding to obtain evaluations matrix collection.
The advantages and effects of the present invention are:
The present invention carries out a series of pre-processing by screening air quality impact factor, to impact factor, including comments
Value, proportion, routine evaluations coefficient, dynamic evaluation coefficient and affiliated subordinating degree function, to obtain overall merit square
Battle array, so that the precision of evaluation is more accurate, so that fewer to the operation of the process of evaluation, real-time update detects overall merit.
Detailed description of the invention
Fig. 1 is flow chart of the present invention；
Fig. 2 is ladder type subordinating degree function figure of the present invention；
Fig. 3 is K parabolic type subordinating degree function figure of the present invention；
Fig. 4 is Γ type subordinating degree function figure of the present invention.
Specific embodiment
The invention will be further described with reference to embodiments.
A kind of Air Quality Evaluation method, as shown in Figure 1, including the following steps:
Step 1: selecting influences the Air Quality Evaluation factor, and evaluation points are sorted out division processing.Choose evaluation points
The main evaluation criterion first closed by national Air Quality Evaluation center is chosen.Sort out and divides processing mainly to phase
As the factor sorted out, to facilitate subsequent processing.
2. step 2: establishing the evaluation value matrix R=(r of the Air Quality Evaluation factorij)m×n, wherein n is evaluation points
Number, m are the item number of needs assessment in air, wherein rijFor the evaluation of estimate of i-th of project under the jth factor.R=(rij)m×n
Particular content are as follows:
Step 3: to evaluation value matrix R=(rij)m×nIt is normalized to obtain matrix R=(rij)m×n', it asks simultaneously
Each evaluation of estimate r outijPositve term evaluation of estimate rij' and reverse evaluation of estimate rij', wherein positve term evaluation of estimate and reverse evaluation of estimate use
Identical letter indicates that positve term evaluation of estimate indicates that the evaluation of estimate of forward sequence, reverse evaluation of estimate are the evaluation of estimate of reverse sequence,
It is numerically equal.
The positve term factor:
Inverse factor:
Wherein, i is factor number, and j is state number, and m and n are positive integer.
Step 4: calculating shared ratio of the evaluation of estimate of each factor in evaluation system.
3. the process of the ratio of calculating are as follows:
Wherein pijFor ratio of each factor shared by evaluation system, rijFor the evaluation of lower i-th project of j-th of factor
Value, the j factor are number, and i is item number.
4. step 5: calculating each factor evaluation value size.The size of Calculation Estimation value are as follows:
Wherein, k=1/lnm, pijFor ratio of each factor shared by evaluation system, the j factor is number, and i is item number, m
For positive integer.
Step 6: finding out the routine evaluations coefficient and dynamic evaluation coefficient of each factor.
Routine evaluations coefficient:
Wherein ejFor evaluation of estimate；
Dynamic evaluation coefficient:
Wherein, w'iFor the dynamic evaluation coefficient of i-th factor, m is two layers of factor number corresponding to the factor, xiIt is i-th
Value after factor standard.
Step 7: corresponding subordinating degree function is chosen according to the dynamic evaluation coefficient of each factor.Subordinating degree function includes ladder
Type subordinating degree function, Г type subordinating degree function and K parabolic type subordinating degree function,
Ladder type subordinating degree function are as follows:
Wherein, the value of p, q are the bound of demand value；
Г type subordinating degree function:
Wherein, k is used to adjust the tangent slope of starting point；
K parabolic type subordinating degree function:
The value of p, q are the bound of demand value, and the value of k is 2.
The subordinating degree function of carbon dioxide is as follows:
Wherein, qi is to be followed successively by belong to that degree of membership is good, normal, general, poor, excessively poor subordinating degree function.Each factor
There is its corresponding subordinating degree function, illustrates by taking carbon dioxide as an example at this.
Step 8: synthetic evaluation matrix is constructed according to the subordinating degree function of each factor.Close evaluations matrix are as follows:
Wherein, Bij=[bj1,bj2,bj3,bj4,bj5], bj1、bj2、bj3、bj4、bj5The jth being expressed as in i-th of state layer
The membership grade sets of a factor.
Step 9: detecting air component using device for detecting air content, obtain the item number of needs assessment.Mainly root
According to the content of other gases and the number for other gases for being included in detection device detection control.
Step 10: the item number of needs assessment being input to conjunction evaluations matrix and weighted calculation model carries out that sky is calculated
Gas comprehensive evaluation value.Weighted calculation model are as follows:
Wherein, wherein Cj is final membership grade sets, and wj, bj correspond to the weighted value of its each factor and be subordinate to angle value, and j is every
The mark that a quantity of state is distinguished, k are count number, and N is factor sum, wkFor factorial power sets corresponding to each factor, bkjFor
Each factor is corresponding to obtain evaluations matrix collection.
The preferred embodiment of the present invention has been described in detail above, but the present invention is not limited to embodiment,
Those skilled in the art can also make various equivalent modifications on the premise of not violating the inventive spirit of the present invention
Or replacement, these equivalent variation or replacement are all contained in scope of the present application.
Claims (8)
1. a kind of Air Quality Evaluation method, which comprises the steps of:
Step 1: selecting influences the Air Quality Evaluation factor, and evaluation points are sorted out division processing；
Step 2: establishing the evaluation value matrix R=(r of the Air Quality Evaluation factorij)m×n, wherein n is evaluation points number, and m is sky
The item number of needs assessment in gas, wherein rijFor the evaluation of estimate of i-th of project under j-th of factor；
Step 3: to evaluation value matrix R=(rij)m×nIt is normalized to obtain matrix R=(rij)m×n', while finding out each
Evaluation of estimate rijPositve term evaluation of estimate rij' and reverse evaluation of estimate rij', wherein positve term evaluation of estimate and reverse evaluation of estimate use identical
Letter indicates that positve term evaluation of estimate indicates that the evaluation of estimate of forward sequence, reverse evaluation of estimate are the evaluation of estimate of reverse sequence, numerically
It is equal；
Step 4: calculating shared ratio of the evaluation of estimate of each factor in evaluation system；
Step 5: calculating each factor evaluation value size；
Step 6: finding out the routine evaluations coefficient and dynamic evaluation coefficient of each factor；
Step 7: corresponding subordinating degree function is chosen according to the dynamic evaluation coefficient of each factor；
Step 8: synthetic evaluation matrix is constructed according to the subordinating degree function of each factor；
Step 9: detecting air component using device for detecting air content, obtain the item number of needs assessment；
Step 10: the item number of needs assessment is input to close evaluations matrix and weighted calculation model carry out air is calculated it is comprehensive
Close evaluation of estimate.
2. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: screening in the step 1 influences
The foundation of factor set are as follows: value matrix R=(r is evaluated in the step 2ij)m×nParticular content are as follows:
3. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: calculate ratio in the step 4
Process are as follows:
Wherein pijFor ratio of each factor shared by evaluation system, rijFor the evaluation of estimate of i-th of project under j-th of factor, j because
Son is number, and i is item number.
4. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: the step 5 Calculation Estimation value
Size are as follows:
Wherein, k=1/lnm, pijFor ratio of each factor shared by evaluation system, the j factor is number, and i is item number, and m is positive
Integer.
5. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: calculated in the step 6 conventional
The volume of evaluation coefficient and dynamic evaluation coefficient proposes absolutely process are as follows: routine evaluations coefficient:
Wherein ejFor evaluation of estimate；
Dynamic evaluation coefficient:
Wherein, wi' be i-th factor dynamic evaluation coefficient, m be the factor corresponding to two layers of factor number, xiFor i-th of factor
Value after standardization.
6. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: the subordinating degree function includes ladder
Type subordinating degree function, Γ type subordinating degree function and K parabolic type subordinating degree function,
Ladder type subordinating degree function are as follows:
Wherein, the value of p, q are the bound of demand value；
Γ type subordinating degree function:
Wherein, k is used to adjust the tangent slope of starting point；
K parabolic type subordinating degree function:
The value of p, q are the bound of demand value, and the value of k is 2.
7. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: close evaluation square in the step 8
Battle array are as follows:
Wherein, Bij=[bj1,bj2,bj3,bj4,bj5], bj1、bj2、bj3、bj4、bj5J-th of factor being expressed as in i-th of state layer
Membership grade sets.
8. a kind of Air Quality Evaluation method according to claim 1, it is characterised in that: the weighted calculation model are as follows:
Wherein, wherein Cj is final membership grade sets, and wj, bj correspond to the weighted value of its each factor and be subordinate to angle value, and j is each shape
The mark that state amount is distinguished, k are count number, and N is factor sum, wkFor factorial power sets corresponding to each factor, bkjIt is each
The factor is corresponding to obtain evaluations matrix collection.
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Cited By (2)
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| CN112816000A (en) * | 2021-02-26 | 2021-05-18 | 华南理工大学 | Comprehensive index evaluation method and system for indoor and outdoor wind environment quality of green building group |
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