CN104732079A - Effectiveness determining method for remote sensing satellite system - Google Patents

Abstract

The invention relates to an effectiveness determining method for a remote sensing satellite system, in particular to an effectiveness determining method for an ocean remote sensing satellite system. The effectiveness determining method for the remote sensing satellite system includes the first step of building an application-oriented remote sensing satellite evaluation index hierarchical model, the second step of adopting an analytic hierarchy process to determine the effectiveness evaluation index weight of the remote sensing satellite system, and the third step of working out the effectiveness value of the remote sensing satellite system. A remote sensing satellite effectiveness evaluation index system oriented to applications and particularly oriented to marine applications is provided, the effectiveness determining method which is exquisite, objective and high in operability is designed according to the characteristics of the remote sensing satellite system, and the large remote sensing satellite system can be subjected to effectiveness evaluation from the emote sensing satellite system to constellations and to single satellites.

Description

A kind of remote sensing satellite System Effectiveness defining method

Technical field

The present invention relates to a kind of remote sensing satellite System Effectiveness defining method, particularly relate to the remote sensing satellite usefulness defining method towards ocean application.

Background technology

Remote sensing satellite utilizes optics or microwave load to carry out optics or microwave sounding to obtain a class satellite for information about to earth surface, lower atmosphere layer, and its information of collecting is widely used in the fields such as government, industry, scientific research, military affairs.

The scale application of remote sensing satellite makes remote sensing satellite system become a complex structure, invest huge system, and its conceptual design comprises many factors that is interrelated, that restrict each other.Different design proposals possesses respective systems technology feature, and effect is different, how to select the design proposal of practical requirement and long term growth be the focal issue that moisture images builds in the process of argumentation.

For head it off, introduce efficiency estimation method proving in evaluation tasks, quantitative analysis and assessment can be carried out to the crucial usefulness of remote sensing satellite system, China's remote sensing satellite systematic planning and construction are based upon and analyse scientifically on data.Measures of effectiveness means at present for remote sensing satellite system are short of, and the effectiveness evaluation index taked lays particular emphasis on the system performance characterizing satellite, lacks the analysis to user's application demand, limit remote sensing satellite system effectively comprehensively measures of effectiveness.On usefulness defining method, existing method is combined not tight with business demand, be calculated as master with first floor system performance simulation, the ability that remote sensing satellite meets mission requirements is difficult to implement in basic data, is therefore difficult to concrete operations and realization.

Summary of the invention

The technical matters that the present invention solves is: provide a kind of remote sensing satellite System Effectiveness defining method, particularly relates to the remote sensing satellite usefulness defining method towards ocean application.This method provide the remote sensing satellite effectiveness evaluation index system towards ocean application, and according to the feature of remote sensing satellite system, devise a kind of meticulous, objective, workable appraisal procedure, the measures of effectiveness carrying out to single star from system to constellation to large-scale remote sensing satellite system can be realized.

Technical scheme of the present invention is: a kind of remote sensing satellite System Effectiveness defining method, comprises the steps:

1) application oriented remote sensing satellite evaluation index hierarchical model is built, this evaluation index system comprises following 5 level indexs: ground floor is the overall capacity of remote sensing satellite in the application of ocean, the second layer is task layer, comprise prevent and reduce natural disasters, maritime rights and interests protection, marine environmental protection, Maritime Law Enforcement supervision, management of the use of sea areas, marine resources investigation and service, third layer is observation element layer, comprises Ocean Wind-field, flow field, storm tide, oil spilling, sea ice, height field, water colour, Hai Wen, 4th layer is capability layer, comprises wind speed detectivity, wind direction detectivity, flows to detectivity, flow rate detection ability, wave height detectivity, wave direction detectivity, greasy dirt concentration detecting capability, greasy dirt range detection ability, sea ice thickness detectivity, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, sea level height detectivity, chlorophyll concentration detectivity, concentration of suspension detectivity, ocean temperature detectivity, there is incidence relation in third layer observation element and the 4th layer of capability layer, relation is as follows: the corresponding wind speed detectivity of Ocean Wind-field and wind direction detectivity, flow field, sea correspondence flows to detectivity and flow rate detection ability, the corresponding wave height detectivity of storm tide and wave direction detectivity, the corresponding greasy dirt concentration detecting capability of offshore spilled oil and greasy dirt range detection ability, the corresponding sea ice thickness detectivity of sea ice, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, the corresponding sea level height detectivity in sea level height field, the corresponding chlorophyll concentration detectivity of ocean color and concentration of suspension detectivity, the warm corresponding ocean temperature detectivity in sea, layer 5 is performance index layer, comprises cover time performance, covering space performance, detection accuracy, investigative range,

2) analytical hierarchy process determination remote sensing satellite Effectiveness Evaluation index weights is adopted;

21) on the remote sensing satellite evaluation index hierarchical model basis built, pairwise comparison matrix is constructed;

From the layer 5 of hierarchy Model, for all indexs of same layer being subordinated to a last layer jth index, with capacitive equipments and the contrast of 1-9 criterion factor, obtain original Contrast's comparatively matrix of this layer, until most top layer; Final acquisition 5 original Contrast comparatively matrix; J is positive integer;

22) calculate weight vector and do consistency check;

For original Contrast's comparatively matrix of every one deck, calculate Maximum characteristic root and this layer of each index characteristic of correspondence vector, utilize coincident indicator, random index and Consistency Ratio to do consistency check; If upcheck, the proper vector obtained is index weight value ω _ij, i is positive integer, represents the number of plies; If do not pass through, then return step 21) re-construct pairwise comparison matrix;

3) acquisition remote sensing satellite System Effectiveness value is calculated;

31) property value of all indexs of layer 5 is obtained;

32) property value obtained is normalized, obtains the index evaluation value v required for measures of effectiveness _ij;

33) by each index evaluation of this layer value v _ijthe index weight value ω corresponding with it _ijbe multiplied and sue for peace, obtaining the index evaluation value v of the i-th-1 layer _{i-1, k}, namely n is positive integer, represents this layer of index number;

34) step 33 is repeated), calculate whole index attribute value.

The present invention's beneficial effect is compared with prior art:

Usefulness refers to that system or system meet the degree of assignment of mission or demand under prescribed conditions, therefore the present invention establishes a set of effectiveness factors system from application demand, this system index comprises from business demand, observation element, application power to the many levels of system performance, based on this index system, the feature of usefulness oriented mission and demand can be embodied better, be combined with application side's traffic direction and demand more tight.The present invention devises the usefulness defining method of a set of applicable remote sensing satellite system, by the ability of step-by-step calculation different levels, can carry out science, objective assessment, have operability to remote sensing satellite to the satisfaction degree of user's request.Usefulness defining method provided by the invention can provide support for spacecraft System Design, complex large system optimization construction and operational management.

Accompanying drawing explanation

Fig. 1 is remote sensing satellite System Effectiveness appraisal procedure;

Fig. 2 is oceanographic observation effectiveness factors system;

Embodiment

Below in conjunction with embodiment and accompanying drawing, describe technical scheme of the present invention in detail.

Remote sensing satellite measures of effectiveness step as shown in Figure 1.

1) analyze remote sensing satellite applied business direction and this service surface to observation element, association remote sensing satellite system capability, builds application oriented remote sensing satellite evaluation index system.This evaluation index system comprises following 5 levels, as shown in Figure 2: ground floor is the overall capacity of remote sensing satellite in the application of ocean, the second layer is task layer, comprise prevent and reduce natural disasters, maritime rights and interests protection, marine environmental protection, Maritime Law Enforcement supervision, management of the use of sea areas, marine resources investigation and service, third layer is observation element layer, comprises Ocean Wind-field, flow field, storm tide, oil spilling, sea ice, height field, water colour, Hai Wen, 4th layer is capability layer, comprises wind speed detectivity, wind direction detectivity, flows to detectivity, flow rate detection ability, wave height detectivity, wave direction detectivity, greasy dirt concentration detecting capability, greasy dirt range detection ability, sea ice thickness detectivity, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, sea level height detectivity, chlorophyll concentration detectivity, concentration of suspension detectivity, ocean temperature detectivity, third layer observation element is relevant with the 4th layer of capability layer, relation is as follows: the corresponding wind speed detectivity of Ocean Wind-field and wind direction detectivity, flow field, sea correspondence flows to detectivity and flow rate detection ability, the corresponding wave height detectivity of storm tide and wave direction detectivity, the corresponding greasy dirt concentration detecting capability of offshore spilled oil and greasy dirt range detection ability, the corresponding sea ice thickness detectivity of sea ice, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, the corresponding sea level height detectivity in sea level height field, the corresponding chlorophyll concentration detectivity of ocean color and concentration of suspension detectivity, the warm corresponding ocean temperature detectivity in sea, layer 5 is performance index layer, comprises cover time performance, covering space performance, detection accuracy, investigative range.

2) analytical hierarchy process determination remote sensing satellite Effectiveness Evaluation index weights is adopted.Set up hierarchy Model as shown in Figure 2, choose ocean wind field efficiency index and carry out example calculations, target is the assessed value calculating Ocean Wind-field, its lower floor's index is wind speed detectivity and wind direction detectivity, this capability layer is associated with performance indicator layer and cover time performance, covering space performance, detection accuracy, investigative range, obtain the efficiency index determining Ocean Wind-field assessed value, comprise wind speed detection accuracy, wind direction detection accuracy, wind speed investigative range, wind direction investigative range, cover time performance and covering space performance.Each evaluation index has certain importance for assessment result, is embodied the significance level of different index by structure contrast matrix.As, following table illustrates how to construct comparator matrix by Paired Comparisons.

Wind speed detects

Wind direction detects

Wind speed detects

Wind direction detects

Cover time

Covering space

	Precision	Precision	Scope	Scope	Performance	Performance
							Wind speed detection accuracy	1	1	2	2	3	3
Wind direction detection accuracy	1	1	2	2	3	3
							Wind speed investigative range	1/2	1/2	1	2	2	2
Wind direction investigative range	1/2	1/2	1/2	1	2	2
							Cover time performance	1/3	1/3	1/2	1/2	1	1
Covering space performance	1/3	1/3	1/2	1/2	1	1

By upper table, index item judgment matrix can be constructed:

$A=\left[\begin{array}{cccccc}1& 1& 2& 2& 3& 3\\ 1& 1& 2& 2& 3& 3\\ 1/2& 1/2& 1& 2& 2& 2\\ 1/2& 1/2& 1/2& 1& 2& 2\\ 1/3& 1/3& 1/2& 1/2& 1& 1\\ 1/3& 1/3& 1/2& 1/2& 1& 1\end{array}\right]$

Use analytical hierarchy process parameter weight vectors, detailed process is as follows:

I. each row element long-pending in matrix:

E ₁＝36，E ₂＝36，E ₃＝2，E ₄＝1/2，E ₅＝1/36，E ₆＝1/36

Ii. E is asked _in th Root

$a_1=\sqrt[6]{36}=1.8171$

$a_2=\sqrt[6]{36}=1.8171$

$a_3=\sqrt[6]{2}=1.1225$

$a_4=\sqrt[6]{1/2}=0.8909$

$a_5=\sqrt[6]{1/36}=0.5503$

$a_6=\sqrt[6]{1/36}=0.5503$

Iii. normalized

sum＝1.8171+1.8171+1.1225+0.8909+0.5503+0.5503＝6.7482

a` ₁＝1.8171/6.7482＝0.2693

a` ₂＝1.8171/6.7482＝0.2693

a` ₃＝1.1225/6.7482＝0.1663

a` ₄＝0.8909/6.7482＝0.1320

a` ₅＝0.5503/6.7482＝0.0815

a` ₆＝0.5503/6.7482＝0.0815

A=(0.2693,0.2693,0.1663,0.1320,0.0815,0.0815) ^tfor required proper vector.

Iv. consistency check

$\mathrm{Aa}=\left[\begin{array}{cccccc}1& 1& 2& 2& 3& 3\\ 1& 1& 2& 2& 3& 3\\ 1/2& 1/2& 1& 2& 2& 2\\ 1/2& 1/2& 1/2& 1& 2& 2\\ 1/3& 1/3& 1/2& 1/2& 1& 1\\ 1/3& 1/3& 1/2& 1/2& 1& 1\end{array}\right]\left[\begin{array}{c}0.2693\\ 0.2693\\ 0.1663\\ 0.1320\\ 0.0815\\ 0.0815\end{array}\right]$

${\mathrm{\λ}}_{\max }=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\frac{{\left(\mathrm{Aa}\right)}_i}{a_i}=\frac{1}{6}(\frac{1.6242}{0.2693}+\frac{1.6242}{0.2693}+\frac{1.0256}{0.1663}+\frac{0.8105}{0.1320}+\frac{0.4917}{0.0815}+\frac{0.4917}{0.0815})=6.0837$

$\mathrm{CI}=\frac{{\mathrm{\λ}}_{\max }-n}{n-1}=\frac{6.0837-6}{6-1}=0.0167$

According to Aver-age Random Consistency Index, when exponent number is 6, RI=1.24.

RI＝1.24

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}=\frac{0.0167}{1.24}=0.0135<0.1$

It can thus be appreciated that the weight vectors obtained is satisfactory.

Namely weighted value is (ω ₁, ω ₂, ω _3,ω ₄, ω ₅, ω ₆)=(0.2693,0.2693,0.1663,0.1320,0.0815,0.0815)

3) comprehensive assessment result is calculated.

The primary data of bottom index is obtained by quantitative or qualitative process, and the primary data obtained, again through normalized, obtains the assessed value of bottom index, is then multiplied by corresponding weighted value ω _i, obtain comprehensive assessment usefulness, namely obtain remote sensing satellite ocean wind field usefulness in the present embodiment.

The unspecified part of the present invention belongs to general knowledge as well known to those skilled in the art.

Claims (1)

1. a remote sensing satellite System Effectiveness defining method, is characterized in that comprising the steps:

1) application oriented remote sensing satellite evaluation index hierarchical model is built, this evaluation index system comprises following 5 level indexs: ground floor is the overall capacity of remote sensing satellite in the application of ocean, the second layer is task layer, comprise prevent and reduce natural disasters, maritime rights and interests protection, marine environmental protection, Maritime Law Enforcement supervision, management of the use of sea areas, marine resources investigation and service, third layer is observation element layer, comprises Ocean Wind-field, flow field, storm tide, oil spilling, sea ice, height field, water colour, Hai Wen, 4th layer is capability layer, comprises wind speed detectivity, wind direction detectivity, flows to detectivity, flow rate detection ability, wave height detectivity, wave direction detectivity, greasy dirt concentration detecting capability, greasy dirt range detection ability, sea ice thickness detectivity, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, sea level height detectivity, chlorophyll concentration detectivity, concentration of suspension detectivity, ocean temperature detectivity, there is incidence relation in third layer observation element and the 4th layer of capability layer, relation is as follows: the corresponding wind speed detectivity of Ocean Wind-field and wind direction detectivity, flow field, sea correspondence flows to detectivity and flow rate detection ability, the corresponding wave height detectivity of storm tide and wave direction detectivity, the corresponding greasy dirt concentration detecting capability of offshore spilled oil and greasy dirt range detection ability, the corresponding sea ice thickness detectivity of sea ice, sea ice temperature sensing ability, sea ice edge detectivity, ice concentration detectivity, the corresponding sea level height detectivity in sea level height field, the corresponding chlorophyll concentration detectivity of ocean color and concentration of suspension detectivity, the warm corresponding ocean temperature detectivity in sea, layer 5 is performance index layer, comprises cover time performance, covering space performance, detection accuracy, investigative range,

2) analytical hierarchy process determination remote sensing satellite Effectiveness Evaluation index weights is adopted;

21) on the remote sensing satellite evaluation index hierarchical model basis built, pairwise comparison matrix is constructed;

From the layer 5 of hierarchy Model, for all indexs of same layer being subordinated to a last layer jth index, with capacitive equipments and the contrast of 1-9 criterion factor, obtain original Contrast's comparatively matrix of this layer, until most top layer; Final acquisition 5 original Contrast comparatively matrix; J is positive integer;

22) calculate weight vector and do consistency check;

For original Contrast's comparatively matrix of every one deck, calculate Maximum characteristic root and this layer of each index characteristic of correspondence vector, utilize coincident indicator, random index and Consistency Ratio to do consistency check; If upcheck, the proper vector obtained is index weight value ω _ij, i is positive integer, represents the number of plies; If do not pass through, then return step 21) re-construct pairwise comparison matrix;

3) acquisition remote sensing satellite System Effectiveness value is calculated;

31) property value of all indexs of layer 5 is obtained;

32) property value obtained is normalized, obtains the index evaluation value v required for measures of effectiveness _ij;

33) by each index evaluation of this layer value v _ijthe index weight value ω corresponding with it _ijbe multiplied and sue for peace, obtaining the index evaluation value v of the i-th-1 layer _{i-1, k}, namely n is positive integer, represents this layer of index number;

34) step 33 is repeated), calculate whole index attribute value.