CN101853481A - Method for evaluating functions of land patrol vehicle - Google Patents

Abstract

The invention discloses a method for evaluating functions of a land patrol vehicle, which comprises the following steps of: establishing evaluation criteria comprising patrol navigation positioning, on-site inspection for obtaining evidence, information management and data communication, setting an evaluation criteria weight of a land patrol vehicle system by using a hierarchy analysis method, and then determining a score value of the evaluation criteria by using a Delphi method so as to obtain a quantization value of evaluating the functions of the land patrol vehicle. The invention realizes functional quantization and evaluation of the land patrol vehicle, and provides the method combining the hierarchy analysis method and the Delphi method to digitalize a functional evaluation result so that deviation caused by man-made subjective assume can be reduced and the evaluation result is more scientific and reasonable, closer to the reality and more objective and intuitive. The land patrol vehicle has reasonable design and convenient operation, and can be provided for detecting the grade which can be reached by the land patrol vehicle system.

Description

A kind of method of evaluating functions of land patrol vehicle

Technical field

The invention belongs to the land investigation technical field of mapping, relate to the functional evaluation to the land patrol car, the application level analytic approach combines with Delphi method, is a kind of method of land patrol car function quantitatively evaluating.

Background technology

For satisfying national strict land management, strengthening the business demand that the soil law enforcement is supervised, Southeast China University is on existing land investigation and vehicle mounted guidance location technology achievement basis, born Ministry of Land and Resources's " soil law enforcement inspection car " military pre-research project in November, 2006, soil law enforcement onboard system overall framework and functional requirement have been designed, developed " soil law enforcement instruction carriage ", and carried out preliminary test in Nanjing Suburb.In Dec, 2007, for State owned land supervisor Beijing office has developed " No. 001 car of State owned land supervisor ", and large-scale Demonstration Application has been carried out in five provinces and regions in North China, obtains leader of Ministry of Land and Resources and expert's abundant affirmation.

In actual applications, vehicle-mounted land patrol system has demonstrated fully flexible, quick, the motor-driven characteristics of inspection car, the case handling efficiency and the quality of soil law enforcement agency have been improved greatly, but do not estimate the function of vehicle-mounted land patrol system as yet theoretically, territory department lacks exercisable technical standard when equipment land patrol truck system.Therefore, for standard State owned land inspection truck system equipment and technical conditions, ensure that the land patrol car changes quality and the performance of saying dress, finish and before land patrol work carries out in the assembling of land patrol truck system, must to the function of land patrol truck system carry out objective, estimate exactly.

The land patrol truck system still is in the development demonstration phase at present, and how estimating, how to set up the mathematical model that combines with Function of Evaluation does not on earth also have definite method to reflect.The function of land patrol truck system is to investigate to add up according to the practical business demand of territory administrative authority to design, and these can be used as the data basis that evaluation model is set up.For making evaluation result obvious, must realize that the mathematics of evaluation result quantizes.

Summary of the invention

The problem to be solved in the present invention is: the evaluation method that each function of present land patrol car need quantize, realize objective, evaluation accurately.

Technical scheme of the present invention is: a kind of method of evaluating functions of land patrol vehicle, it is characterized in that setting up interpretational criteria, it is evaluation index, comprise patrol navigation location, verify evidence obtaining, information management, data communication on the spot, the utilization analytical hierarchy process is provided with the interpretational criteria weights of land patrol truck system, use Delphi method to determine the score value of described interpretational criteria then, obtain the quantized value of evaluating functions of land patrol vehicle, may further comprise the steps:

1), the demand degree of each interpretational criteria of statistics land patrol truck system, the information source of securing layer fractional analysis;

2), the utilization analytical hierarchy process determines the weights of land patrol truck system interpretational criteria, at first sets up according to the function of land patrol car and passs stratum's aggregated(particle) structure model, destination layer is an evaluating functions of land patrol vehicle, rule layer comprises patrol navigation location W ₁, verify evidence obtaining W on the spot ₂, information management W ₃, data communication W ₄And their sub-criterion, solution layer is exactly that evaluation index is specialized, by passing the judgment matrix of stratum's aggregated(particle) structure model construction land patrol truck system evaluation model, carrying out proper vector then finds the solution, draw the weights of each interpretational criteria of land patrol car, and judgment matrix carried out consistency check, judge whether the interpretational criteria weights that obtain are effective;

3), the utilization Delphi method is determined the maximum quantization value of each concrete evaluation index of solution layer, respectively the interpretational criteria and the sub-criterion thereof of passing stratum's aggregated(particle) structure model are marked, the weights of interpretational criteria and the described scoring sum of products are the TOP SCORES value of land patrol car;

4), to the TOP SCORES value divided rank of land patrol car, estimate the function of land patrol car according to the TOP SCORES value of each land patrol car.

Step 2 of the present invention) in,

Patrol navigation location W ₁Sub-criterion comprise: verify regional guidance W ₁₁, verify plot guiding W ₁₂, vehicle coordinate shows W ₁₃, people's wheel paths record W ₁₄, objective is set W ₁₅, network path is analyzed W ₁₆

Verify evidence obtaining W on the spot ₂Sub-criterion comprises: coordinate conversion W ₂₁, block area is determined W ₂₂, the base map plot shows W ₂₃, camera shooting evidence-obtaining W ₂₄, destination navigation W ₂₅, image data postbacks W ₂₆, a time of adopting is provided with W ₂₇, total powerstation communication W ₂₈, multi-layer image management W ₂₉, information acquisition W on the spot ₂₁₀

Information management W ₃Sub-criterion comprises: the verification scheme forms W ₃₁, vehicle information management W ₃₂, business information management W ₃₃, teledata is obtained W ₃₄, the inspection report forms W ₃₅, system security management W ₃₆, terminal verification monitoring W ₃₇, verify data backup W ₃₈

Data communication W ₄Sub-criterion comprises: car is to indoor W ₄₁, indoor to car W ₄₂, on the spot to car W ₄₃, GPS information distributing W ₄₄, data safety management W ₄₅

With the interpretational criteria patrol navigation location W that passs in stratum's aggregated(particle) structure model ₁, verify evidence obtaining W on the spot ₂, information management W ₃, data communication W ₄Contrast in twos, obtain the judgment matrix A of land patrol truck system evaluation model:

$A=\left[\begin{array}{cccc}\frac{W_1}{W_1}& \frac{W_1}{W_2}& \frac{W_1}{W_3}& \frac{W_1}{W_4}\\ \frac{W_2}{W_1}& \frac{W_2}{W_2}& \frac{W_2}{W_3}& \frac{W_2}{W_4}\\ \frac{W_3}{W_1}& \frac{W_3}{W_2}& \frac{W_3}{W_3}& \frac{W_3}{W_4}\\ \frac{W_4}{W_1}& \frac{W_4}{W_2}& \frac{W_4}{W_3}& \frac{W_4}{W_4}\end{array}\right]$

For judgment matrix A, calculate the maximum characteristic root and the proper vector that satisfy following formula:

A＝λ _maxY

In the formula: λ _MaxBe the maximum characteristic root of judgment matrix A, Y is corresponding to λ _MaxRegular proper vector, proper vector Y is the sequencing weight of the corresponding factor of same level for last layer time certain factor relative importance, the component Y of Y after normalization _i, i=1,2,3,4 promptly is the single preface weights of corresponding factor.

The present invention preferably adopts and long-pending method is calculated the component Y of Y _i, i=1,2,3,4 and maximum characteristic root λ _Max, concrete steps are as follows:

The first step: judgment matrix A element is pressed row normalization calculate:

${\stackrel{\‾}{a}}_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{k=1}{\overset{4}{\mathrm{\Σ}}}{a}_{\mathrm{kj}}}$ i，j＝1，2，3，4

Wherein, a _IjEach element among the expression judgment matrix A, a _KjThe j column element of expression judgment matrix A;

Second step: will press the row addition calculation by the element after the row normalization,

Each row sum for the matrix after the normalization:

${\stackrel{\‾}{Y}}_i=\underset{j=1}{\overset{4}{\mathrm{\Σ}}}{a}_{\mathrm{ij}}$ i，j＝1，2，3，4

The 3rd step: with vector

Normalization:

$Y_i=\frac{{\stackrel{\‾}{Y}}_i}{\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\stackrel{\‾}{Y}}_i}$ i＝1，2，3，4

The 4th step: the maximum characteristic root λ that calculates judgment matrix A _Max:

${\mathrm{\λ}}_{\max }=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}\frac{{\left(\mathrm{AY}\right)}_i}{4Y_i}$ i＝1，2，3，4

In the formula (AY) _iI component representing vectorial AY.

The consistency check of judgment matrix A of the present invention is:

Calculate the test coefficient CR of conformance criteria CI and relative uniformity check:

$\mathrm{CI}=\frac{{\mathrm{\λ}}_{\max }-n}{n-1},n=4$

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}$

Wherein RI is the mean random conformance criteria, can be by the acquisition of tabling look-up; CR is littler for the relative uniformity criterion, and the consistance of judgment matrix A better; When CR＜0.1, think and judge that consistance meets the requirements, its individual features vector effectively, the interpretational criteria weights that promptly calculate are effective, otherwise readjust judgment matrix A: redefine the correlativity between each interpretational criteria, to determine new judgment matrix.

Delphi method is to adopt the mode of the suggestion that publishes anonymously, investigate the view that experts ask a question to questionnaire by many rounds, through seeking the opinion of repeatedly, conclude, revising, be aggregated into the view of expert's basically identical at last, as prediction result, comprise the quantitative prediction to a problem, the present invention uses it for the quantification that realizes that vehicle-mounted land patrol systemic-function is estimated.From the investigation statistics, the total functional requirement of territory department is consistent, because the difference of the landform of each department, business demand etc., there is certain difference in demand degree to each function, also just say that there is hierarchical structure in the evaluation to every function of this cover system, the present invention adopts chromatographic analysis method thought---and the comprehensive system thinking in back is decomposed in utilization earlier, arrangement and comprehensive people's subjective judgement, qualitative analysis and quantitative test are organically combined, realize the quantification decision-making.The present invention is when estimating land patrol truck system function, the method of specifically having used analytical hierarchy process and Delphi method to combine, with qualitative and quantitatively combine, show by quantitative values at last, reducing the people is the deviation that gets sth into one's head and bring, and makes more scientific and reasonable, the more approaching reality of evaluation result.

Description of drawings

Fig. 1 is an overall operation process flow diagram of the present invention.

Fig. 2 is the vehicle-mounted land patrol system evaluation of the present invention system construction system figure.

Fig. 3 is the process flow diagram of the middle-level analytic approach of the present invention.

Fig. 4 is the process flow diagram of Delphi method among the present invention.

Fig. 5 is an evaluation result calculation flow chart of the present invention.

Embodiment

The objective of the invention is to realize the function quantitatively evaluating of land patrol car, proposed a kind of method that analytical hierarchy process is combined with Delphi method,, make evaluation result more objective, directly perceived functional evaluation digitizing as a result.The present invention is reasonable in design, and is easy to operate, also can be used as to detect the grade that the outfit of land patrol truck system can reach.

For achieving the above object, the present invention by the following technical solutions:

At first use the step analysis ratio juris, 4 interpretational criteria weights such as evidence obtaining, information management, data communication are located, verified to the patrol navigation that vehicle-mounted inspection system is set respectively on the spot, use Delphi method to determine patrol navigation location, verify the score value of 4 interpretational criterias such as evidence obtaining, information management, data communication on the spot then, finally calculate the evaluation quantized value of vehicle-mounted inspection system function.As Fig. 1, basic step of the present invention is as follows:

1), the business demand difference of the practical business different regions of territory supervision department, by the inspection requirement investigation analysis of each department authority in charge of the land, the demand degree of each interpretational criteria of statistics land patrol truck system, the information source of securing layer fractional analysis;

2), the utilization analytical hierarchy process determines the weights of land patrol truck system interpretational criteria, at first sets up according to the function of land patrol car and passs stratum's aggregated(particle) structure model, destination layer is evaluating functions of land patrol vehicle A, rule layer comprises patrol navigation location W ₁, verify evidence obtaining W on the spot ₂, information management W ₃, data communication W ₄And their sub-criterion, by passing the judgment matrix of stratum's aggregated(particle) structure model construction land patrol truck system evaluation model, carry out then that proper vector is found the solution and consistency check, draw the weights of each interpretational criteria of land patrol car;

3), the utilization Delphi method respectively the interpretational criteria and the sub-criterion thereof of passing stratum's aggregated(particle) structure model are marked, the weights of interpretational criteria and the described scoring sum of products are the TOP SCORES value of land patrol car;

4), to the TOP SCORES value divided rank of land patrol car, according to the function of the grade evaluation land patrol car under the TOP SCORES value of each land patrol car.

As Fig. 3, the specific implementation of basic step is:

1) foundation of appraisement system

In order to estimate the function of vehicle-mounted land patrol system, determine the patrol navigation location, verify evidence obtaining, information management and data communication as interpretational criteria on the spot, set up appraisement system, just pass stratum's aggregated(particle) structure model, as Fig. 2.

Patrol navigation location subitem has: verify regional guidance, verify the plot guiding, vehicle coordinate shows, people's wheel paths record, and objective is set, the network path analysis.

Verifying the evidence obtaining subitem on the spot has: coordinate conversion, block area determine that the base map plot shows, camera shooting evidence-obtaining, and destination navigation, image data postbacks, and a time of adopting is provided with, total powerstation communication, multi-layer image management, information acquisition on the spot.

The information management subitem has: the verification scheme forms, vehicle information management, and the business information management, teledata is obtained, and the inspection report forms, system security management, data backup is verified in the terminal verification monitoring.

The data communication subitem has: car arrives indoor, indoor to car, on the spot to car, and GPS information distributing, data safety management.

2) mathematics of interpretational criteria quantizes

In order to set up mathematical model, with each interpretational criteria mathematicization, with mathematics code name W _iRepresent the interpretational criteria of the every function of land patrol truck system, with mathematics code name W _IjRepresent each subitem interpretational criteria, corresponding to following table:

Patrol navigation location subitem W _(11-16):

W ₁₁---verify regional guidance W ₁₂---verify plot guiding W ₁₃---vehicle coordinate shows

W ₁₄---people's wheel paths record W ₁₅---objective is set W ₁₆---the network path analysis

Verify evidence obtaining subitem W on the spot _(21-210):

W ₂₁---coordinate conversion W ₂₂---block area is determined W ₂₃---the base map plot shows

W ₂₄---camera shooting evidence-obtaining W ₂₅---destination navigation W ₂₆---image data postbacks

W ₂₇---a time of adopting is provided with W ₂₈---total powerstation communication W ₂₉---the multi-layer image management

W ₂₁₀---information acquisition on the spot

Information management subitem W _(31-38):

W ₃₁---the verification scheme forms W ₃₂---vehicle information management W ₃₃---the business information management

W ₃₄---teledata is obtained W ₃₅---the inspection report forms W ₃₆---system security management

W ₃₇---terminal verification monitoring W ₃₈---verify data backup

Data communication subitem W _(41-45):

W ₄₁---car is to indoor W ₄₂---indoor to car W ₄₃---on the spot to car

W ₄₄---GPS information distributing W ₄₅---data safety management

3) judgment matrix of structure evaluation model

According to the business demand of investigation territory, each province and city administrative authority, determine the priority mark of the four elements { evidence obtaining, information management, data communication are located, verified to patrol navigation on the spot } of vehicle-mounted land patrol systemic-function evaluation: { W ₁W ₂W ₃W ₄, be about to this four elements as interpretational criteria, judge the relative importance of each criterion, they are contrasted in twos, set up the judgment matrix of evaluation model.Judgment matrix is as follows:

$A=\left[\begin{array}{cccc}\frac{W_1}{W_1}& \frac{W_1}{W_2}& \frac{W_1}{W_3}& \frac{W_1}{W_4}\\ \frac{W_2}{W_1}& \frac{W_2}{W_2}& \frac{W_2}{W_3}& \frac{W_2}{W_4}\\ \frac{W_3}{W_1}& \frac{W_3}{W_2}& \frac{W_3}{W_3}& \frac{W_3}{W_4}\\ \frac{W_4}{W_1}& \frac{W_4}{W_2}& \frac{W_4}{W_3}& \frac{W_4}{W_4}\end{array}\right]$

4) single preface of level and consistency check

Judgment matrix A is corresponding to maximum characteristic root λ _MaxProper vector Y, after normalization, be the sequencing weight of the corresponding factor of same level for last layer time certain factor relative importance.For judgment matrix A, calculate the characteristic root and the proper vector that satisfy following formula.

A＝λ _maxY

In the formula: λ _MaxBe the maximum characteristic root of judgment matrix A, Y is corresponding to λ _MaxRegular proper vector, proper vector Y is the sequencing weight of the corresponding factor of same level for last layer time certain factor relative importance, the component U of Y after normalization _i, i=1,2,3,4 promptly is the single preface weights of corresponding factor.

Calculate the maximum characteristic root λ of judgment matrix _MaxAnd characteristic of correspondence vector Y, thereby determine weights Y _i, the present invention adopts and the method for amassing is calculated.Concrete steps are as follows:

The first step: judgment matrix A element is pressed row normalization calculate:

${\stackrel{\‾}{a}}_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{k=1}{\overset{4}{\mathrm{\Σ}}}{a}_{\mathrm{kj}}}$ i，j＝1，2，3，4

Wherein, a _IjEach element among the expression judgment matrix A, a _KjThe j column element of expression judgment matrix A;

Second step: will press the row addition calculation by the element after the row normalization,

Each row sum for the matrix after the normalization:

${\stackrel{\‾}{Y}}_i=\underset{j=1}{\overset{4}{\mathrm{\Σ}}}{a}_{\mathrm{ij}}$ i，j＝1，2，3，4

The 3rd step: with vector

Normalization:

$Y_i=\frac{{\stackrel{\‾}{Y}}_i}{\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\stackrel{\‾}{Y}}_i}$ i＝1，2，3，4

The 4th step: the maximum characteristic root λ that calculates judgment matrix A _Max:

${\mathrm{\λ}}_{\max }=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}\frac{{\left(\mathrm{AY}\right)}_i}{4Y_i}$ i＝1，2，3，4

In the formula (AY) _iI component representing vectorial AY, i.e. eigenmatrix A and Y _iProduct.

The 5th step: the consistency check of judgment matrix

The formula of conformance criteria is:

$\mathrm{CI}=\frac{{\mathrm{\λ}}_{\max }-n}{n-1},n=4$

The computing formula of test coefficient is:

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}$

RI is the mean random conformance criteria, can be by the acquisition of tabling look-up.

The RI coefficient table

Dimension	??1	??2	??3	??4	??5	??6	??7	??8	??9	??10
											??RI	??0，00	??0.00	??0.58	??0.90	??1.12	??1.24	??1.32	??1.41	??1.45	??1.49

Under one situation, CR is littler for the relative uniformity criterion, and the consistance of judgment matrix better.When CR＜0.1, think and judge that consistance meets the requirements, otherwise need readjust judgment matrix.

5) Delphi method is formulated standards of grading

Delphi method is used for determining the maximum quantization value of each specific targets of solution layer.The expert that the formulation of vehicle-mounted land patrol systemic-function standards of grading and methods of marking need be understood the function and the performance of car load very much determines that 10 experts from fields such as Surveying Engineering, satellite navigation, land management, exact instrument, computing machines form expert group.As Fig. 4, mark by Delphi method, send questionnaire to all experts, and require expert's feedback opinion, each sub-criterion of interpretational criteria is marked, obtain the scoring of interpretational criteria.By expertise is collected, gathers, contrasted, be distributed to every expert once more.Carry out so repeatedly 4 times, finally make feedback data be tending towards convergence, just the appraisal result unanimity obtains comparatively objective full and accurate investigation result.

The weights of last interpretational criteria and the TOP SCORES value that the described scoring sum of products is the land patrol car.To the TOP SCORES value divided rank of land patrol car, just realize the function of quantitatively evaluating land patrol car according to the grade under the TOP SCORES value of each land patrol car.

The enforcement of the inventive method is described below by a specific embodiment.

(1) land patrol demand analysis

By investigation obtain the investigation table such as table 1 listed, count the demand degree of land administration department, patrol navigation location W to each function of vehicle-mounted land patrol system ₁The demand degree is 122, verifies evidence obtaining W on the spot ₂The demand degree is 213, information management W ₃The demand degree is 246, data communication W ₄The demand degree is 98.

The vehicle-mounted land patrol systemic-function of table 1 demand degree questionnaire

(2) analytical hierarchy process is determined the interpretational criteria weights

Set up the judgment matrix A of evaluation model, promptly

$A=\left[\begin{array}{cccc}1& 0.500& 0.500& 1\\ 2& 1& 1& 2\\ 2& 1& 1& 3\\ 1& 0.500& 0.333& 1\end{array}\right]$

Calculate the maximum characteristic root λ of judgment matrix A _MaxAnd characteristic of correspondence vector Y, the component Y of Y _i, i=1,2,3,4 promptly is the single preface weights of corresponding factor, the present invention adopts and the method for amassing is calculated.Concrete steps are as follows:

1) the judgment matrix element being pressed row normalization calculates

${\stackrel{\‾}{a}}_{11}=\frac{1}{1+2+2+1}=0.167$ ${\stackrel{\‾}{a}}_{21}=\frac{2}{1+2+2+1}=0.333$

${\stackrel{\‾}{a}}_{31}=\frac{2}{1+2+2+1}=0.333$ ${\stackrel{\‾}{a}}_{41}=\frac{1}{1+2+2+1}=0.167$

${\stackrel{\‾}{a}}_{12}=\frac{0.500}{0.500+1+1+0.500}=0.167$ ${\stackrel{\‾}{a}}_{22}=\frac{1}{0.500+1+1+0.500}=0.333$

${\stackrel{\‾}{a}}_{32}=\frac{1}{0.500+1+1+0.500}=0.333$ ${\stackrel{\‾}{a}}_{42}=\frac{0.500}{0.500+1+1+0.500}=0.167$

${\stackrel{\‾}{a}}_{13}=\frac{0.500}{0.500+1+1+0.333}=0.177$ ${\stackrel{\‾}{a}}_{23}=\frac{1}{0.500+1+1+0.333}=0.353$

${\stackrel{\‾}{a}}_{33}=\frac{1}{0.500+1+1+0.333}=0.353$ ${\stackrel{\‾}{a}}_{43}=\frac{0.333}{0.500+1+1+0.333}=0.118$

${\stackrel{\‾}{a}}_{14}=\frac{1}{1+2+3+1}=0.143$ ${\stackrel{\‾}{a}}_{24}=\frac{2}{1+2+3+1}=0.286$

${\stackrel{\‾}{a}}_{34}=\frac{3}{1+2+3+1}=0.429$ ${\stackrel{\‾}{a}}_{44}=\frac{1}{1+2+3+1}=0.143$

So the judgment matrix of standard is:

$A=\left[\begin{array}{cccc}0.167& 0.167& 0.177& 0.143\\ 0.333& 0.333& 0.353& 0.286\\ 0.333& 0.333& 0.353& 0.429\\ 0.167& 0.167& 0.118& 0.143\end{array}\right]$

2) will be by the element after the row normalization by the row addition calculation

$\stackrel{\‾}{Y_1}=0.167+0.167+0.177+0.143=0.654$

$\stackrel{\‾}{Y_2}=0.333+0.333+0.353+0.286=1.305$

$\stackrel{\‾}{Y_3}=0.333+0.333+0.353+0.429=1.448$

$\stackrel{\‾}{Y_4}=0.167+0.167+0.118+0.143=0.595$

3) with vector

Normalization

$Y_1=\frac{0.654}{0.654+1.305+1.448+0595.}=0.163$

$Y_2=\frac{1.305}{0.654+1.305+1.448+0.595}=0.326$

$Y_3=\frac{1.448}{0.654+1.305+1.448+0.595}=0.362$

$Y_4=\frac{0.595}{0.654+1.305+1.448+0.595}=0.149$

Then proper vector is Y=[0.163 0.326 0.362 0.149] ^T

4) the maximum characteristic root λ of calculating judgment matrix _Max

$\mathrm{AY}=\left[\begin{array}{cccc}1& 0.500& 0.500& 1\\ 2& 1& 1& 2\\ 2& 1& 1& 3\\ 1& 0.500& 0.333& 1\end{array}\right]\left[\begin{array}{c}0.163\\ 0.326\\ 0.362\\ 0.149\end{array}\right]=\left[\begin{array}{c}0.656\\ 1.312\\ 1.461\\ 0.596\end{array}\right]$

${\mathrm{\λ}}_{\max }=\frac{0.656}{4\×0.163}+\frac{1.312}{4\×0.326}+\frac{1.461}{4\×0.362}+\frac{0.596}{4\×0.149}=4.021$

5) consistency check of judgment matrix

Conformance criteria is:

$\mathrm{CI}=\frac{4.021-4}{4-1}=0.007$

Judgment matrix is 4 * 4 rank matrixes, table look-up RI=0.90.

Calculate consistance ratio at random, promptly test coefficient is:

$\mathrm{CR}=\frac{0.007}{0.90}=0.008<0.10$

Hence one can see that, and matrix satisfies coherence request, and its individual features vector is effective, and promptly interpretational criteria { evidence obtaining, information management, data communication are located, verified to patrol navigation on the spot } weights are: { 0.163 0.326 0.362 0.149}.

(3) the vehicle-mounted land patrol of detection system, determine the interpretational criteria score value by Delphi method:

The patrol navigation location

Verify evidence obtaining on the spot

Information management

Scoring item	Standards of grading	Best result	Real score
				The verification scheme forms	Management remote sensing image data, soil utilize basic data and the utilization of relevant soil to clear a paper, and by multi-layer data, the stack of multidate data, analysis, find that can doubtful illegal land used manage mass data, form the scheme of verifying on the spot	??14	??12
Vehicle information management	The vehicle essential information is managed,, and broadcast differential correcting information and discern terminal verification image data on the spot for corresponding terminal verification on the spot according to license plate number as information such as license plate number, driver and operating personnels	??12	??11
				The business information management	The business of patrolling (comprising law enforcement, generaI investigation, evidence obtaining) information is managed	??12	??11
Teledata is obtained	Receive the land used information of terminal verification collection in worksite in real time, be analyzed processing	??10	??8

Scoring item	Standards of grading	Best result	Real score
				The inspection report forms	Carry out quantitative test and qualitative analysis to verifying the result, soil legitimacy and fact of malfeasance are judged, can form the inspection report	??14	??12
System security management	The user is logined the on-vehicle information management system carry out purview certification, guarantee security of system	??12	??12
				The terminal verification monitoring	Monitor terminal verification position and duty in real time	??14	??8
Verify data backup	The data of verifying are in time backed up	??12	??12
				Add up to	??100	??86

Data communication

Best result is determined by Delphi method in the table, is just determined the maximum quantization value of each concrete evaluation index of solution layer by Delphi method, and real score places the demonstration area to obtain by actual detected in the land patrol car.

(4) calculate vehicle-mounted land patrol systemic-function and estimate quantized value

The weights of last every interpretational criteria and the described scoring sum of products are the TOP SCORES value of land patrol car.To the TOP SCORES value divided rank of land patrol car, just realize the function of quantitatively evaluating land patrol car according to the grade under the TOP SCORES value of each land patrol car.

Vehicle-mounted land patrol system evaluation is table as a result

Claims (5)

1. the method for an evaluating functions of land patrol vehicle, it is characterized in that setting up interpretational criteria, it is evaluation index, comprise patrol navigation location, verify evidence obtaining, information management, data communication on the spot, the utilization analytical hierarchy process is provided with the interpretational criteria weights of land patrol truck system, use Delphi method to determine the score value of described interpretational criteria then, obtain the quantized value of evaluating functions of land patrol vehicle, may further comprise the steps:

1), the demand degree of each interpretational criteria of statistics land patrol truck system, the information source of securing layer fractional analysis;

2), the utilization analytical hierarchy process is determined the weights of land patrol truck system interpretational criteria, at first set up and pass stratum's aggregated(particle) structure model according to the function of land patrol car, destination layer is an evaluating functions of land patrol vehicle, rule layer comprises patrol navigation location W1, verify evidence obtaining W2 on the spot, information management W3, data communication W4 and their sub-criterion, solution layer is exactly that evaluation index is specialized, by passing the judgment matrix of stratum's aggregated(particle) structure model construction land patrol truck system evaluation model, carrying out proper vector then finds the solution, draw the weights of each interpretational criteria of land patrol car, and judgment matrix carried out consistency check, judge whether the interpretational criteria weights that obtain are effective;

3), the utilization Delphi method is determined the maximum quantization value of each concrete evaluation index of solution layer, respectively the interpretational criteria and the sub-criterion thereof of passing stratum's aggregated(particle) structure model are marked, the weights of interpretational criteria and the described scoring sum of products are the TOP SCORES value of land patrol car;

4), to the TOP SCORES value divided rank of land patrol car, estimate the function of land patrol car according to the TOP SCORES value of each land patrol car.

2. the method for evaluating functions of land patrol vehicle according to claim 1 is characterized in that step 2) in,

Patrol navigation location W ₁Sub-criterion comprise: verify regional guidance W ₁₁, verify plot guiding W ₁₂, vehicle coordinate shows W ₁₃, people's wheel paths record W ₁₄, objective is set W ₁₅, network path is analyzed W ₁₆

Verify evidence obtaining W on the spot ₂Sub-criterion comprises: coordinate conversion W ₂₁, block area is determined W ₂₂, the base map plot shows W ₂₃, camera shooting evidence-obtaining W ₂₄, destination navigation W ₂₅, image data postbacks W ₂₆, a time of adopting is provided with W ₂₇, total powerstation communication W ₂₈, multi-layer image management W ₂₉, information acquisition W on the spot ₂₁₀

Information management W ₃Sub-criterion comprises: the verification scheme forms W ₃₁, vehicle information management W ₃₂, business information management W ₃₃, teledata is obtained W ₃₄, the inspection report forms W ₃₅, system security management W ₃₆, terminal verification monitoring W ₃₇, verify data backup W ₃₈

Data communication W ₄Sub-criterion comprises: car is to indoor W ₄₁, indoor to car W ₄₂, on the spot to car W ₄₃, GPS information distributing W ₄₄, data safety management W ₄₅

3. the method for evaluating functions of land patrol vehicle according to claim 2 is characterized in that the interpretational criteria patrol navigation location W that will pass in stratum's aggregated(particle) structure model ₁, verify evidence obtaining W on the spot ₂, information management W ₃, data communication W ₄Contrast in twos, obtain the judgment matrix A of land patrol truck system evaluation model:

$A=\left[\begin{array}{cccc}\frac{W_1}{W_1}& \frac{W_1}{W_2}& \frac{W_1}{W_3}& \frac{W_1}{W_4}\\ \frac{W_2}{W_1}& \frac{W_2}{W_2}& \frac{W_2}{W_3}& \frac{W_2}{W_4}\\ \frac{W_3}{W_1}& \frac{W_3}{W_2}& \frac{W_3}{W_3}& \frac{W_3}{W_4}\\ \frac{W_4}{W_1}& \frac{W_4}{W_2}& \frac{W_4}{W_3}& \frac{W_4}{W_4}\end{array}\right]$

For judgment matrix A, calculate the maximum characteristic root and the proper vector that satisfy following formula:

A＝λ _maxY

In the formula: λ _MaxBe the maximum characteristic root of judgment matrix A, Y is corresponding to λ _MaxRegular proper vector, proper vector Y is the sequencing weight of the corresponding factor of same level for last layer time certain factor relative importance, the component Y of Y after normalization _i, i=1,2,3,4 promptly is the single preface weights of corresponding factor.

4. the method for evaluating functions of land patrol vehicle according to claim 3 is characterized in that adopting and long-pending method is calculated the component Y of Y _i, i=1,2,3,4 and maximum characteristic root λ _Max, concrete steps are as follows:

The first step: judgment matrix A element is pressed row normalization calculate:

${\stackrel{\&OverBar;}{a}}_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{k=1}{\overset{4}{\mathrm{\&Sigma;}}}{a}_{\mathrm{kj}}},i.j=\mathrm{1,2,3,4}$

Wherein, a _IjEach element among the expression judgment matrix A, a _KjThe j column element of expression judgment matrix A;

Second step: will press the row addition calculation by the element after the row normalization,

Each row sum for the matrix after the normalization:

${\stackrel{\&OverBar;}{Y}}_i=\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{a}_{\mathrm{ij}},i,j=\mathrm{1,2,3,4}$

The 3rd step: with vector

Normalization:

$Y_i=\frac{{\stackrel{\&OverBar;}{Y}}_i}{\underset{i=1}{\overset{4}{\mathrm{\&Sigma;}}}{\stackrel{\&OverBar;}{Y}}_i},i=\mathrm{1,2,3,4}$

The 4th step: the maximum characteristic root λ that calculates judgment matrix A _Max:

${\mathrm{\&lambda;}}_{\max }=\underset{i=1}{\overset{4}{\mathrm{\&Sigma;}}}\frac{{\left(\mathrm{AY}\right)}_i}{4Y_i},i=\mathrm{1,2,3,4}$

In the formula (AY) _iI component representing vectorial AY.

5. according to the method for claim 3 or 4 described evaluating functions of land patrol vehicle, it is characterized in that the consistency check of judgment matrix A is:

Calculate the test coefficient CR of conformance criteria CI and relative uniformity check:

$\mathrm{CI}=\frac{{\mathrm{\&lambda;}}_{\max }-n}{n-1},n=4$

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}$

Wherein RI is the mean random conformance criteria, can be by the acquisition of tabling look-up; CR is littler for the relative uniformity criterion, and the consistance of judgment matrix A better; When CR＜0.1, think and judge that consistance meets the requirements, its individual features vector effectively, the interpretational criteria weights that promptly calculate are effective, otherwise readjust judgment matrix A: redefine the correlativity between each interpretational criteria, to determine new judgment matrix.

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