CN108510157A - Artificial marine habitat launches quality evaluating method - Google Patents
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Abstract
The present invention provides a kind of artificial marine habitat dispensing quality evaluating method, including step：S1：Artificial marine habitat is surveyed in the actual distribution state in target marine site, obtains the target marine site actual distribution data of the artificial marine habitat；S2：The artificial marine habitat clustering and comparison step；S3：The artificial marine habitat launches error calculating step；S4：The artificial marine habitat launches error distribution rule analytical procedure；S5：The artificial marine habitat launches the distribution analytical procedure of error；S6：The artificial marine habitat launches grade of errors partiting step；S7：The artificial marine habitat launches error assessment step.A kind of artificial marine habitat of the present invention launches quality evaluating method, provides a kind of feasible artificial marine habitat dispensing error assessment method of science, has the advantages that highly practical and evaluation effect is good.
Description
Technical field
The present invention relates to sea farming technical fields more particularly to a kind of artificial marine habitat to launch quality evaluating method.
Background technology
With the development of industry with environmental pollution getting worse, the marine environment in the marine eco-environment especially coastal waters is gradual
Deteriorate, adds the appearance of overfishing phenomenon, the fishery resources in coastal waters are constantly reduced, in the 1970s, 200 kilometers exclusive
The it is proposed in economic zone so that various countries take appropriate measures one after another, make every effort to that the marine eco-environment is protected to solve marine fishery resources
Increasingly the problem of reducing.And the setting of artificial marine habitat can improve the marine eco-environment, aquatile can be made to assemble, and provide life
Long required bait, hides the predation of other biological, for biology procreation and inhabit and give safe place, reach protecting ecology
Environment, the purpose for being proliferated fishery resources.In other words, artificial marine habitat is conducive to marine organisms aggregation, forage, inhabites.
Artificial marine habitat process of construction is a complicated system engineering, including many aspects：Designing and manufacture, reef location
Selection, artificial marine habitat is launched and artificial marine habitat management and maintenance etc., the realization phase of each aspect and artificial marine habitat function
It closes, affects the effect of artificial marine habitat construction, the success or failure to artificial marine habitat construction are all highly important, if a certain link is built
If improper, the effect of construction is not only not achieved, it is also possible to damage to original ecological environment.Artificial marine habitat dispensing is people
One of important link in work fish shelter process of construction, in all foeign elements, most important influence factor is worked as and belongs to Artificial Fish
The error that the dispensing technology of reef is brought, the quality for launching result affect the realization effect of artificial marine habitat function.Launch construction skill
The quality of art changes configuration combination when artificial marine habitat design.The configuration of fish shelter with combine be artificial marine habitat construction weight
Want one of content, different configurations different from the effect that integrated mode generates.Fish shelter dispersed placement will weaken environment to fish
Stimulation causes the density of fish to reduce, and fish shelter distribution is excessively concentrated, and scale effect expected from fish shelter will reduce, properly
Reef group configuration integrated mode, can preferably play function caused by the physical environment in reef area.Launch the mistake that construction technology is brought
Difference affects artificial marine habitat to the range of the object organisms useful effect such as fish, causes construction object to be difficult to realize, placement position
Inaccurate even can influence maritime bridge and make troubles to ocean development.
According to relevant information, the dispensing of artificial marine habitat often visually or GPS positioning, is launched in artificial marine habitat
When, it is limited by the various factors such as sea conditions and throwing reef technology, the actual placement position of artificial marine habitat and design position
Between there are error, placement position is inaccurate, and reefs shifts phenomenon.This be directly related to engineering accuracy and rationally
Property, determine that can build purpose realize.To a certain extent, engineering construction is the decisive link of artificial marine habitat construction.People
Work fish shelter engineering construction is improper, be easy to cause phenomena such as fish shelter the offset of position, fish shelter inclination, depression occurs and buries, causes
Fish shelter loses its function.Related researcher has found to show that only 50% artificial marine habitat reaches to the effect assessment of artificial marine habitat
Expected effect, remaining fish shelter not or rarely reach original standard.
Up to the present, it there is no and launched in relation to corresponding technical specification also ununified relevant criterion evaluation artificial marine habitat
The accuracy and reasonability of construction technology cause it is difficult to which deviation quantifies between practical placement position and engineering design position
And assessment, the difficulty of responsibility investigation is increased, constructs and can not supervise so as to cause to practical launch, affect artificial marine habitat and build
If the reliability and efficiency of engineering.Since the last century 80's, some artificial marine habitats have been launched in China successively, are not had so far
Someone can accurate statistics which artificial marine habitats be to launch successful, this problem is not only present in China, even if in flourishing state
Family as the U.S. there is also.Therefore, the dispensing result of live marine site artificial marine habitat whether meet originally design when layout requirements, with
And whether the fish shelter configuration of part has an impact whole fish shelter construction object etc. with offset combine, needs progress correctly
Ground is assessed, phenomena such as in favor of improving the random dispensing occurred in current artificial marine habitat construction.
Invention content
Deficiency in for the above-mentioned prior art, the present invention provide a kind of artificial marine habitat dispensing quality evaluating method, provide
A kind of feasible artificial marine habitat of science launches error assessment method, and it is highly practical good with evaluation effect to have the advantages that.
To achieve the goals above, the present invention provides a kind of artificial marine habitat dispensing quality evaluating method, including step：
S1：Artificial marine habitat is surveyed in the actual distribution state in target marine site, obtains the target marine site reality of the artificial marine habitat
Border distributed data；
S2：The artificial marine habitat clustering and comparison step；
S3：The artificial marine habitat launches error calculating step；
S4：The artificial marine habitat launches error distribution rule analytical procedure；
S5：The artificial marine habitat launches the distribution analytical procedure of error；
S6：The artificial marine habitat launches grade of errors partiting step；
S7：The artificial marine habitat launches error assessment step.
Preferably, the S1 steps further comprise step：
S11：The underwater topographic map in the target marine site is obtained using acoustic instrument；
S12：The target of each artificial marine habitat in the underwater topographic map is extracted using ArcGis vector quantization functions
Marine site actual distribution data.
Preferably, in the S2 steps, pass through partition clustering method, hierarchy clustering method and constraint clustering method pair respectively
The artificial marine habitat carries out clustering and compares.
Preferably, the constrained clustering method includes step：
According to the target marine site actual distribution data of the artificial marine habitat, one about whole fish shelter monomers is built
Delaunay triangulation network；
It is modified to the Delaunay triangulation network by applying whole constraints and local constraint, obtains one
Triangulation diagram is constrained, the constraint triangulation diagram includes an at least unit fish shelter and/or the discrete at least one fish shelter monomer,
The unit fish shelter includes multiple fish shelter monomers；
According to maximum distance criterion, the fish shelter monomer discrete in the constraint triangulation diagram is agglomerated.
Preferably, the expression formula of the whole constraints C_Global is：
C_Global=α k (1)；
Wherein, α is adjustment factor, and k is the distance between described fish shelter monomer；
The expression formula of the local constraint is：
Wherein, piFor the i-th fish shelter monomer, i is the natural number more than or equal to 1；N(pi) be and the i-th fish shelter monomer
The quantity on connected side；ejFor with piConnected side；
It is described to be modified step to the Delaunay triangulation network by applying whole constraints and local constraint
Suddenly further comprise step：
When the distance between described fish shelter monomer is more than the whole constraints, the Delaunay triangulation network is deleted
Described in side between fish shelter monomer, obtain an artificial marine habitat and divide sparse graph；
When the distance between described fish shelter monomer is more than the local constraint, it is dilute to delete the artificial marine habitat division
The side between fish shelter monomer described in figure is dredged, the constraint triangulation diagram is obtained.
Preferably, described according to maximum distance criterion, agglomerate the fish shelter monomer discrete in the constraint triangulation diagram
Step further comprises step：
The center of gravity of each unit fish shelter of computation-intensive distribution,
By the center of gravity according to the maximum distance principle, will have the discrete of dense distribution around the unit fish shelter
The fish shelter monomer is integrated into the neighbouring unit fish shelter；
The minimum distance for calculating the remaining discrete fish shelter monomer and having the unit fish shelter, according to the most long distance
Principle merges the fish shelter monomer nearest with unit fish shelter distance.
Preferably, the artificial marine habitat dispensing error calculation in the S3 includes：Position of centre of gravity error calculation, peripheral surface
Product error calculation, overlapping area error calculation, amount of monomer error calculation and reefs interval error calculate；
The position of centre of gravity error calculation formula is as follows：
Wherein, x0For the plane coordinates (x of the design gravity of the unit fish shelter0,y0) x-axis coordinate value, y0For the list
Plane coordinates (the x of the design gravity of position fish shelter0,y0) y-axis coordinate value；X is that the plane of the actual measurement center of gravity of the unit fish shelter is sat
The x-axis coordinate value of (x, y) is marked, y is the y-axis coordinate value of the plane coordinates (x, y) of the actual measurement center of gravity of the unit fish shelter；Δ d is
Centre-of gravity shift absolute error；L is the half for presetting the unit fish shelter catercorner length；δwFor the unit fish shelter centre-of gravity shift
Relative error；
The periphery area error calculation formula is as follows：
δp=(S0-S)/S0(4)；
Wherein, S0For the unit fish shelter design area, S is the unit fish shelter measured area；δpFor the unit fish shelter
The relative error of area change；
The overlapping area error calculation formula is as follows：
δOA=1-SI/S0(5)；
Wherein, SIThe area of overlapping region between the unit fish shelter design section and actual measurement region；δOAIt is described
Unit fish shelter surveys the goodness of fit between region and design section；
The amount of monomer error calculation formula is as follows：
δN=(N0-N)/N0(6)；
Wherein, N0Quantity for the fish shelter monomer designed in the unit fish shelter；N is to be surveyed in the unit fish shelter
The fish shelter monomer quantity；δNFor the relative error of the variation of fish shelter amount of monomer described in the unit fish shelter；
The reefs interval error calculation formula is as follows：
Wherein, l0The design value of spacing between the fish shelter monomer, a are the length of side of the fish shelter monomer, liFor the fish
The measured value of reef monomer spacing, δlFor the relative error of the fish shelter monomer spacing；
Further include that by normalization algorithm conversion is normalized in each error criterion by step in the S3, the error refers to
Mark includes the centre-of gravity shift absolute error, the unit fish shelter centre-of gravity shift relative error, the unit fish shelter area change
Relative error, the goodness of fit between unit fish shelter actual measurement region and design section, fish shelter described in the unit fish shelter
The relative error of amount of monomer variation and the opposite of the fish shelter monomer spacing are missed；The normalization algorithm is：
Y '=1-e-x′2(8)；
Wherein, x ' is the measured value of the error criterion, and y ' is the conversion value after error criterion normalization.
Preferably, the S4 steps further comprise step：
Error distribution is launched respectively according to just too just too distribution is being carried out for distribution, exponential distribution and logarithm to the artificial marine habitat
Analysis obtains error distributed data；
Analysis is fitted to the error distributed data by a fitting formula, the fitting formula is：
Wherein, ζ is that fit standard is poor, i=1,2 ..., n；xiPractical frequency value in being grouped for i-th,It is i-th point
The probability value being fitted in group；N is the packet count of histogram frequency distribution diagram；R is related coefficient, xmFor the mean value of practical frequency；
For the mean value of Fitted probability；The related coefficient numerical value is the bigger the better, and the fit standard difference value is the smaller the better.
Preferably, in the S5 steps, when error obedience is just distributed very much, pass through an error distribution formula analysis institute
The distribution that artificial marine habitat launches error is stated, the error distribution formula is：
Wherein, X is stochastic variable, and μ is the mathematic expectaion of stochastic variable X, and σ is standard deviation, and κ is that stochastic variable X occurs
Probability in given section (μ-κ σ, μ+κ σ)；P(μ-κσ<X<μ+κ σ) it is fiducial probability.
Preferably, the S6 steps further comprise step：
S61：The grade of errors number divided needed for being arranged；
S62：The artificial marine habitat in each target marine site error is launched using wide discretization method to be distributed in respectively
In error range section corresponding to grade of errors；
S63：According to one rely on redundancy formula, calculate one rely on redundancy angle value, and using the dependence redundancy angle value as
Rely on redundancy initial value：
Wherein, AjFor j-th of dispensing error；C is marine site；PsrIt indicates that error belongs to and launches marine site as csLaunch error AjIt is real
Actual value is vjkProbability；Ps+Indicate that it is c to launch marine sitesAll errors probability；P+rIt is fallen in section [e to launch errorr-1,
er] probability, erFor the maximum value in the error range section of r grade of errors, [er-1] be r grade of errors error range area
Between minimum value；I(C：Aj) indicate to share information；H (C, Aj) indicate combination entropy；
S64：The boundary in the error range section is adjusted using class dependency degree discretization algorithm.
The present invention makes it have following advantageous effect as a result of above technical scheme：
A kind of artificial marine habitat of the present invention launches quality evaluating method, establishes the feasible artificial marine habitat of science and launches error
Evaluation method evaluates the dispensing construction technology of artificial marine habitat, proposes corresponding Improving Measurements, is built for artificial marine habitat from now on
If effect provides reference standard, have important practical significance to instructing the dispensing in subsequent artefacts' fish shelter construction to construct.
Description of the drawings
Fig. 1 is that the artificial marine habitat of the embodiment of the present invention launches the flow chart of quality evaluating method；
Fig. 2 is whole fish shelter monomer distribution figures of the embodiment of the present invention；
Fig. 3 is the Delaunay triangulation network figure of the embodiment of the present invention；
Fig. 4 is that the artificial marine habitat of the embodiment of the present invention divides sparse graph；
Fig. 5 is the unit fish shelter and fish shelter monomer distribution figure after the cohesion of the embodiment of the present invention.
Specific implementation mode
Below according to 1~Fig. 5 of attached drawing, presently preferred embodiments of the present invention is provided, and be described in detail, enabled more preferable geographical
Solve function, the feature of the present invention.
Referring to Fig. 1, the present invention of the embodiment of the present invention provides a kind of artificial marine habitat dispensing quality evaluating method, including step
Suddenly：
S1：Artificial marine habitat is surveyed in the actual distribution state in target marine site, obtains practical point of the target marine site of artificial marine habitat
Cloth data；
Wherein, S1 steps further comprise step：
S11：The underwater topographic map in target marine site is obtained using acoustic instrument；
S12：The target marine site actual distribution of each artificial marine habitat in underwater topographic map is extracted using ArcGis vector quantization functions
Data can get whole fish shelter monomer distribution figures as shown in Figure 2 at this time.
Since acoustic instrument there can be high image resolution ratio in muddy water body, it had been widely used in recent years
Yu Haiyang engineering.In the present embodiment, to obtain the actual distribution state of artificial marine habitat, people is obtained using acoustic instruments such as C3D
The subaqua-tic geomorphology and three dimensional topographic data of work fish shelter high quality.
The construction purpose of different construction areas, artificial marine habitat is different, configuration combination side when artificial marine habitat designs therewith
Formula is also different, the different input situations for building artificial marine habitat under various combinations in marine site is understood for deep, to right
Different schemes makes suitable analysis and evaluation, and the throwing reef marine site of different situations need to be investigated, the high definition provided based on C3D
It is underwater can manually to extract each artificial marine habitat in image in conjunction with ArcGIS vector quantization functions for clear underwater sonar image information
The spatial relationships such as spatial position and mutual distance between them and orientation obtain distribution of the artificial marine habitat in practical marine site
Data.
S2：Artificial marine habitat clustering and comparison step.
After the actual distribution state for obtaining artificial marine habitat, clustering need to be carried out to artificial marine habitat, to judge fish shelter
Distribution pattern.Many spatial clustering methods are currently, there are, according to the difference of Clustering, can be roughly divided into：Based on division
Cluster, the cluster based on level, density clustering, the cluster based on graph theory, the cluster based on model, based on grid
Cluster etc..
In the present embodiment, respectively by partition clustering method, hierarchy clustering method and constraint clustering method to artificial marine habitat
It carries out clustering and compares.
Since the actual distribution situation of artificial marine habitat is more complicated, the unit fish shelter configuration in a certain marine site and integrated mode
Difference, cause unit fish shelter there are different shapes, there is also differences for size, are not unified, in each unit fish shelter
Amount of monomer it is also different, and may be without apparent boundary between unit fish shelter, it is understood that there may be more scattered fish
Reef monomer.In view of the complexity of unit fish shelter distribution, the division classification of unit fish shelter is being carried out using existing Spatial Clustering
When, classifying rationally is can not achieve, the cluster based on constraint refers to user according to actual conditions by given restrictive condition, to sky
Between entity clustered, to meet actual demand.
In the present embodiment, constrained clustering method includes step：
(1), according to the target marine site actual distribution data of artificial marine habitat, one about whole fish shelter monomers is built
The structure of Delaunay triangulation network, Delaunay triangulation network is as shown in Figure 3.
(2), it is modified to Delaunay triangulation network by applying whole constraints and local constraint, obtains one
Triangulation diagram is constrained, constraint triangulation diagram includes an at least unit fish shelter and/or a discrete at least fish shelter monomer, unit fish shelter
Including multiple fish shelter monomers.The structure for constraining triangulation diagram is as shown in Figure 4.
The constraints of artificial marine habitat includes whole constraints and local constraint.
Wherein, for given spatial entities set DB, wherein including n fish shelter monomer p, the whole constraint of fish shelter monomer p
The expression formula of condition, i.e., whole constraints C_Global is：
C_Global=α k (1)；
Wherein, α is adjustment factor, and it is the distance between fish shelter monomer that acquiescence, which is set as 1, k,；
In addition, the expression formula of local constraint is：
Wherein, piFor the i-th fish shelter monomer, i is the natural number more than or equal to 1；N(pi) it is the side being connected with the i-th fish shelter monomer
Quantity；ejFor with piConnected side；
It is further to Delaunay triangulation network step of modifying by applying whole constraints and local constraint
Including step：
When the distance between fish shelter monomer is more than whole constraints, delete in Delaunay triangulation network fish shelter monomer it
Between side, obtain an artificial marine habitat divide sparse graph；
During carrying out whole constraints deletion entirety long side, whole long side includes the length between unit fish shelter
The long side between long side, scattered fish shelter monomer between side, unit fish shelter and scattered fish shelter monomer.By the way that entirety is arranged about
After beam condition, unit fish shelter substantially distribution situation is obtained, but the boundary between certain unit fish shelters still obscures, it is understood that there may be
The problem of " neck " and " chain ", causes two to be divided in a cluster even more than unit fish shelter, internal in obtained unit fish shelter
The number of reefs is likely to occur excessive phenomenon.More accurate division result in order to obtain introduces local constraint and list
The limitation of position fish shelter amount of monomer number, further divides certain unit fish shelters.
When the distance between fish shelter monomer is more than local constraint, deletes artificial marine habitat and divide fish shelter list in sparse graph
Side between body obtains constraint triangulation diagram.
In carrying out local constraint and doing further constraint step, need further to draw according to the judgement of fish shelter amount of monomer
The unit fish shelter divided uses local constraint to these unit fish shelters.By between local constraint deletion unit fish shelter
Long side, the long side between unit fish shelter and discrete reefs and the long side between discrete unit fish shelter.By setting office
After portion's constraints, solves the phenomenon being connected between unit fish shelter, discrete fish shelter monomer is separated.
(3), according to maximum distance criterion, cohesion constrains fish shelter monomer discrete in triangulation diagram.
The step further comprises step：
(a), the center of gravity of each unit fish shelter of computation-intensive distribution.
(b), by center of gravity according to maximum distance principle, by the discrete fish shelter monomer of dense distribution around existing unit fish shelter
It is integrated into neighbouring unit fish shelter.
After the step for completing, the higher fish shelter monomer of space density is gathered for one kind, but side is in for some
The fish shelter monomer on boundary, they, which are distributed, relatively disperses, and density is relatively low but is not belonging to discrete point again, it is therefore desirable to around unit fish shelter
The lower discrete point of density carries out merger again.
(c), the minimum distance for calculating remaining discrete fish shelter monomer and existing unit fish shelter, merges according to most long distance principle
With unit fish shelter apart from nearest fish shelter monomer.Unit fish shelter and the distribution map of fish shelter monomer after merging is as shown in Figure 5.
It is main poly- using dividing in conjunction with the actual conditions of artificial marine habitat according to spatial auto-correlation existing for fish shelter monomer
Class, hierarchical clustering and constrained clustering carry out clustering to the artificial marine habitat in live marine site, find out most suitable clustering algorithm,
Disclose the actual distribution situation of unit fish shelter.
The result of different clustering algorithms is laid out analysis, obtains the overlapping region of cluster result, this region is difference
The shared region of clustering algorithm, autocorrelation is high between sharing the spatial entities in region, is distributed relative close, Bu Huiyin
Cluster result is caused to have differences for the difference of clustering algorithm, therefore, overlapping region reflects the actual distribution shape of unit fish shelter
Condition.And the difference between the obtained cluster result of various clustering algorithms and overlapping region then reflects the difference of various algorithms.
For usable condition of the more various clustering algorithms in artificial marine habitat application, with various cluster results and overlay region
Difference between domain judges the quality of various clustering methods according to the size of difference as a discriminant criterion.Select center of gravity
Position, influence area, fish shelter amount of monomer and reefs spacing are as the index for assessing several clustering method qualities.
Artificial marine habitat cluster result is obtained, hierarchical clustering fluctuating error is larger, is secondly partition clustering, constrained clustering wave
Dynamic minimum, error are ordered as constraining<It divides<Level.Algorithm based on constraint has minimum standard deviation, i.e., based on constraint
Difference between algorithm and overlapping region is minimum, similitude highest.
Space clustering, and the cluster obtained using 3 kinds of clustering methods of standard deviation pair are carried out to artificial marine habitat using 3 kinds of methods
As a result error-tested is carried out.The result shows that the fluctuating error difference of 3 kinds of clustering methods is smaller, partition clustering fluctuating error is slightly higher
In hierarchical clustering and constrained clustering.Error is ordered as level<Constraint<It divides.Hierarchical clustering standard deviation is minimum, and this method obtains
Cluster center of gravity and overlapping region center of gravity it is closest.
The error result that 3 kinds of clustering algorithms obtain shows that constrained clustering error curve is shallower, and global error value is obviously small
In other two methods.Constrained clustering obtains minimum standard deviation, therefore, considers from this factor of area, constrained clustering obtains
Cluster result closest to fish shelter actual distribution situation.
The size of fish shelter monomer spacing reflects that the solidifying of reefs distribution dissipates degree in unit fish shelter, and spacing is small between reefs,
Illustrate that fish shelter distribution is concentrated, on the contrary fish shelter distribution dispersion.Show 3 kinds of clusters in the reefs interval error that 3 kinds of clustering methods obtain
As a result whole difference is all smaller, and reefs interval error is ordered as level<Constraint<It divides.Therefore, it is missed from fish shelter monomer spacing
From the aspect of difference, hierarchical clustering can most reflect the solidifying scattered degree of fish shelter distribution.
Each error component value is can be obtained according to the above index, but error component has multiple, each error component
All there is error amount, can not obtain a unified value, therefore, it is necessary to show that each clustering method is total by existing error component
Body error condition.And each error component is different to the influence degree of global error, therefore, is calculating global error
Before, it is necessary first to determine the weighted value of each error component.
Principal component analysis is carried out to the influence area of 3 kinds of clustering algorithms, position of centre of gravity, reefs spacing, fish shelter amount of monomer,
Determine the influence degree of each index.The result that 3 kinds of clustering algorithms obtain after principal component analysis can be seen that first it is main at
Divide with position of centre of gravity there are apparent positive correlation, correlation reaches 0.929, and first principal component is considered position of centre of gravity
It represents.Second principal component, represents reefs spacing, and third principal component represents amount of monomer, and the 4th principal component represents area.Level is poly-
First principal component represents amount of monomer in class, and Second principal component, represents position of centre of gravity, and third principal component represents reefs spacing, and the 4th
Principal component represents area.First principal component is area in constrained clustering, and Second principal component, is reefs spacing, and third principal component is attached most importance to
Heart position, the 4th principal component are amount of monomer.The contribution rate of four ingredients is respectively 76.351%, 20.198%, 2.314%,
1.136%.
The error amount of each index weights and each error element that are obtained according to principal component analysis, will above each index line
Property weighted sum, determines global error y, shown in following formula：
In formula, n is to represent index number, aiTo represent the corresponding weighted value of index, xiRepresent the error amount of index.
The global error of 3 kinds of clustering algorithms is obtained according to a upper formula, constrained clustering error curve is relatively gentle, accidentally
Difference is less than other two kinds of clustering methods.Hierarchical clustering error amount in the 11st and 17~30 overlapping regions is all far above other
Two kinds of clustering methods reach maximum in the 22nd overlapping region error amount.Standard deviation is ordered as constraining<It divides<Level.Cause
This, when considering this 4 indexs of area, amount of monomer, position of centre of gravity, reefs spacing, constrained clustering error amount is minimum, essence
Spend highest.The cluster result obtained using constrained clustering can most reflect the Assembling pattern of fish shelter actual distribution state.
Since partition clustering and hierarchical clustering are sensitive to abnormal data, scattered point can not be rejected, therefore cluster to fish shelter
When, the fish shelter monomer of distance relatively far away from is cannot exclude, unit fish shelter is due to individual discrete monomer in obtained cluster result
In the presence of unit fish shelter area is larger.And when the spacing between fish shelter monomer farther out when, the synergistic effect of fish shelter monomer reduces, because
This should exclude discrete fish shelter monomer in cluster process.Constrained clustering avoids cluster by the long side of deletion different levels
As a result this excessive problem of middle area.Because hierarchical clustering is sensitive to data input sequence, therefore is clustered compared to other two kinds
Algorithm, amount of monomer differs greatly in the unit fish shelter that hierarchical clustering obtains, and is unevenly distributed.As a result, to artificial marine habitat reality
When border distribution is clustered, the algorithm optimum based on constraint.
S3：Artificial marine habitat launches error calculating step.
Wherein, the artificial marine habitat dispensing error calculation in S3 includes：Position of centre of gravity error calculation, periphery area error meter
Calculation, overlapping area error calculation, amount of monomer error calculation and reefs interval error calculate；
Position of centre of gravity error calculation formula is as follows：
Wherein, x0For the plane coordinates (x of the design gravity of unit fish shelter0,y0) x-axis coordinate value, y0For unit fish shelter
Plane coordinates (the x of design gravity0,y0) y-axis coordinate value；X is the x-axis of the plane coordinates (x, y) of the actual measurement center of gravity of unit fish shelter
Coordinate value, y are the y-axis coordinate value of the plane coordinates (x, y) of the actual measurement center of gravity of unit fish shelter；Δ d is centre-of gravity shift absolute error；
L is the half of default unit fish shelter catercorner length；δwFor unit fish shelter centre-of gravity shift relative error.
The distribution of unit fish shelter reflects fish shelter layout scenarios, unit fish shelter position of centre of gravity offset error is established, to supervise
Survey whether fish shelter layout is in rational state.
Periphery area error calculation formula is as follows：
δp=(S0-S)/S0(4)；
Wherein, S0For unit fish shelter design area, S is unit fish shelter measured area；δpFor the phase of unit fish shelter area change
To error.
Under the conditions of identical configuration is combined, periphery area is bigger, and the modification scope of unit fish shelter entirety increases, but therewith
Synergistic effect between fish shelter monomer reduces, and periphery area is smaller, the modification scope diminution of unit fish shelter entirety, fish shelter monomer it
Between the effect that generates there is overlapping phenomenon.
Overlapping area error calculation formula is as follows：
δOA=1-SI/S0(5)；
Wherein, SIThe area of overlapping region between unit fish shelter design section and actual measurement region；δOAFor unit fish shelter
Survey the goodness of fit between region and design section.
Amount of monomer error calculation formula is as follows：
δN=(N0-N)/N0(6)；
Wherein, N0Quantity for the fish shelter monomer designed in unit fish shelter；N is the fish shelter monomer surveyed in unit fish shelter
Quantity；δNThe relative error changed for fish shelter amount of monomer in unit fish shelter.
Fish shelter amount of monomer reflects the scale situation of artificial marine habitat, due to unit fish shelter scale should 400m numbers with
On, there is also corresponding limitations for reefs quantity in unit fish shelter.
Reefs interval error calculation formula is as follows：
Wherein, l0The design value of spacing between fish shelter monomer, a are the length of side of fish shelter monomer, liFor fish shelter monomer spacing
Measured value, δlFor the relative error of fish shelter monomer spacing.
Artificial fish reef area water body exchange capacity is determined that different spacing water body exchange capacities are different by reefs spacing.
For the ease of handling and analyzing, method for normalizing often converts real data to numerical value in 0~1 range.
Further include that by normalization algorithm conversion is normalized in each error criterion by step in S3, error criterion includes weight
It is real that the heart deviates absolute error, unit fish shelter centre-of gravity shift relative error, the relative error of unit fish shelter area change, unit fish shelter
It surveys between the goodness of fit between region and design section, the relative error that fish shelter amount of monomer changes in unit fish shelter and fish shelter monomer
Away from it is opposite accidentally；Normalization algorithm is：
Wherein, x ' is the measured value of error criterion, and y ' is the conversion value after error criterion normalization.
S4：Artificial marine habitat launches error distribution rule analytical procedure.
It is a stochastic variable that artificial marine habitat, which launches error, and the error amount of each error element obtained according to different waters is sent out
Existing, certain intrinsic specific regularity is presented in error result, and therefore, its probability distribution of dispensing error must meet a certain specific rule
Rule.In order to understand the distribution situation for launching error, three kinds of common hypothesis distributions are selected：Normal distribution, exponential distribution, logarithm are just
State is distributed, and is carried out distribution model test analysis to each error criterion, is disclosed the regularity of distribution for launching error.It is examined with K-S
Method carries out statistical check to the probability distribution of artificial marine habitat error element.In conjunction with the error result of each index of artificial marine habitat, sentence
Break and error element and assume obedience situation under distribution at three kinds, and calculates corresponding parameter value.
Preferably, S4 steps further comprise step：
Error distribution is launched respectively according to just too distribution, exponential distribution and logarithm are just dividing very much to artificial marine habitat
Analysis obtains error distributed data.
Difference assumes that the accuracy for the error fit that distribution obtains is different, and the fitting of distribution is assumed in order to which quantitative comparison is various
As a result, determining most suitable statistical distribution, two fitting index are defined：Fit standard difference and related coefficient.
Analysis is fitted to error distributed data by a fitting formula, fitting formula is：
Wherein, ζ is that fit standard is poor, i=1,2 ..., n；xiPractical frequency value in being grouped for i-th,It is i-th point
The probability value being fitted in group；N is the packet count of histogram frequency distribution diagram；R is related coefficient, xmFor the mean value of practical frequency；
For the mean value of Fitted probability；Related coefficient numerical value is the bigger the better, and fit standard difference value is the smaller the better.
Since the different accuracy for assuming fitting of distribution are different, when determining most suitable statistical distribution, need according to phase
Relationship number and the two poor indexs of fit standard determine and launch the final distribution pattern of error.Therefore, artificial marine habitat throwing is determined
Put the fitting result of the probability distribution of error.
S5：Artificial marine habitat launches the distribution analytical procedure of error.
When measurement data is there are when error, error is always distributed across in certain range, this range is measurement data
The limits of error, or be limit error.In measurement adjustment, if error Normal Distribution, error distribution is 3 times
Standard deviation.
When error obedience is just distributed very much, the distribution of error is launched by an error distribution formula analysis artificial marine habitat
Range, error distribution formula are：
Wherein, X is stochastic variable, and μ is the mathematic expectaion of stochastic variable X, and σ is standard deviation, and κ is that stochastic variable X occurs
Probability in given section (μ-κ σ, μ+κ σ)；P(μ-κσ<X<μ+κ σ) it is fiducial probability.
It can be obtained by formula (10)：
It is found that when error Normal Distribution, the probability that error is distributed in 3 times of Standard deviation-Range is
99.7%, and the probability of the standard deviation more than 3 times is 0.3%, probability is close to zero, and can be considered impossible event.Formula is right
The probability at end is known as fiducial probability, and (μ-κ σ, μ+κ σ) confidence interval under fiducial probability, μ-κ σ are the lower bound of confidence interval thus
(U1), μ+κ σ are the upper bound (U of confidence interval2).As a result, when the regularity of distribution of known error, fiducial probability, Bian Keji are given
Calculate confidence interval, the i.e. range of error distribution.
S6：Artificial marine habitat launches grade of errors partiting step.
Wide discretization method is combined with class dependency degree discretization method, divides artificial marine habitat error burst.
Assuming that artificial marine habitat is launched in all data acquisition system M of error, each error amount belongs to S one kind thrown in reef marine site
cs, each error criterion is with n attribute A1,…,Aj,…,An, any one attribute AjCodomain be denoted as：
domain(Aj)={ vjk| k=1,2 ..., Kj}
Wherein vjkCan be number, symbol or both is all.
Define 1：[a, b] is that artificial marine habitat launches a certain error component A of errorjCodomain, a≤vjk≤b.Error component Aj
One division TjIt is defined as：
Wherein e0=a, the lower bound of typical value, the i.e. minimum value of error, eLj=b, the upper bound of typical value, the i.e. maximum of error
Value, ei-1<ei, i=1,2 ..., Lj, LjIndicate the section number divided.
Define 2：According to define 1 in divide as a result, interval division result TjBoundary set be defined as：
If QjIndicate such as next probability set：
Qj：{qsr| s=1,2 ..., S, r=1,2 ..., Lj}
WhereinoskIt is c to launch marine sites, launch error AjValue fall in section [er-1,
er] all errors occur in range number.
1 generic attribute table of table
Discretization criterion is using this concept of class-attribute dependability, by calculating between class variable and continuous type attribute most
Big dependency degree carries out the discretization process of continuous data.According to any one section LjAnd intermediate result boundary set Bj
A two-dimensional matrix, as shown in table 1, each q can be generatedsrExpression, which belongs to, launches marine site as csLaunch error AjThe areas value Luo
Between [er-1,er] number of all samples, a certain error component A observed in this way in rangejValue just respectively falls in LjA section
In, we use Aj∈erIndicate AjActual value vjkIt is [e to fall on boundaryr-1,er] section in.
Therefore, after interval division, the value of error just has original continuous section to be known as several centrifugal pumps, can
Marine site is launched as c to be easy to calculate to belong tosLaunch error AjValue is fallen in section [er-1,er] in probability：
Similar, marginal probability can also be obtained, it is as follows：
In formula, Ps+Indicate that it is c to launch marine sitesAll errors probability, qs+Indicate that it is c to launch marine sitesAll errors
Number, P+rIndicate that all marine site error amounts are fallen in section [er-1,er] in probability, q+rIndicate that all marine site error amounts are fallen
Section [er-1,er] in number.
Wherein, S6 steps further comprise step：
S61：The grade of errors number divided needed for being arranged；
S62：The artificial marine habitat in each target marine site is launched into error using wide discretization method and is distributed in each grade of errors
In corresponding error range section；
S63：Redundancy formula is relied on according to one, calculating one relies on redundancy angle value, and will rely on redundancy angle value as dependence
Redundancy initial value：
Wherein, AjFor j-th of dispensing error；C is marine site；PsrIt indicates that error belongs to and launches marine site as csLaunch error AjIt is real
Actual value is vjkProbability；Ps+Indicate that it is c to launch marine sitesAll errors probability；P+rIt is fallen in section [e to launch errorr-1,
er] probability, erFor the maximum value in the error range section of r grade of errors, [er-1] be r grade of errors error range area
Between minimum value；I(C：Aj) indicate the shared information that continuous type attribute goes out according to the probability calculation that departure process obtains.H (C, Aj)
It launches marine site and launches the combination entropy between error.
By formula (11) it is found that RCAjThe size of value depends on I (C：Aj) and H (C, Aj), and the size of the two values depends on
In Psr、Ps+And P+rValue, when the section difference of division, the distribution situation of error is also different, thus, obtained Psr、Ps+And P+r
It is worth there is also difference,Value can also change therewith.When the number of given demarcation interval, how rational demarcation interval,
Suitable interval border is obtained, is madeValue it is maximum.
S64：The boundary in error range section is adjusted using class dependency degree discretization algorithm.
Class associated discrete algorithm is exactly by constantly being adjusted, being made to original section boundary valueGradually increase,
Finally reach maximum value.Specific algorithm process is as follows：Distribution to launching error carries out initial section using wide algorithm
It dividesThus initial boundary point set is obtainedMeter
It obtainsInitial value is denoted asThen existCalculating makesValue reaches maximum e1Value, at this time's
Value is denoted asFixed e1It is worth and is denoted asThe error burst divided at this time is then changed to
WithFor starting point,Calculating makesValue reaches maximum e2Value, at this timeValue be denoted asFixed e2
It is worth and is denoted asThe error burst divided at this time is then changed toWith this iteration into
Row, Zhi DaoInside searchIt obtainsMaximum value.
Such as：Three kinds of bay, islands and reefs marine site and open waters different waters artificial marine habitats is selected to launch data.According to throwing
The analysis of distribution of reef marine site error show that position of centre of gravity error, overlapping area error and amount of monomer error are in difference
Domain error distribution is respectively [0,1], [0,1], [0,0.451], and the limit that other errors are obtained in different zones is missed
Difference slightly has difference, and generally, periphery area error distribution is [0,1], the distribution model of reefs interval error and global error
Enclose respectively [0,1], [0,0.890].
97 error sample datas are shared in view of reef marine site is thrown, and the data for reacting different geographical are divided into 4 kind (first
Bay, the second bay, islands and reefs marine site, open waters), for the number of opinion rating, most suitable section number is can to make
Information loss reaches minimum, and if the number of fruit is S, maximum section number should not be more than M/ (N × S), and M is that sample is total
Number, N generally take 3.Therefore, practical artificial marine habitat launches error burst number and is up to 97/ (3 × 4)=8.Rule of thumb and
Actual conditions, larger section number can weaken the correlation between class and attribute, cause information redundancy, as a result, larger area
Between number and improper, meticulous interval division is nonsensical, but also can increase the requirement to sample data number, evaluation
When number is very few, the difference degree between the object that is not easily distinguishable, the number of evaluation approach generally between 4~9, thus, this implementation
In example, section number is set to 5.
According to the wide discretization method of section number and interval division, the artificial marine habitat of different waters is launched first
The data distribution of error is in 5 sections, by taking the division result of reefs interval error as an example, is obtained according to wide discretization method
Division result is as shown in table 2, thus calculatesBoundary is adjusted by class dependency degree discretization algorithm
After whole, table 3 is obtained, at this point,Similar with the computational methods of reefs monomer interval error, position of centre of gravity deviates
The original boundary value of error be adjusted to by { 0,0.2,0.4,0.6,0.8,1.0 } 0,0.113,0.375,0.572,0.775,
1.0 }, initiallyIt is adjusted to 0.085711 by 0.081178；The original boundary value of periphery area error by 0,0.2,
0.4,0.6,0.8,1.0 } it is adjusted to { 0,0.208,0.450,0.607,0.697,1.0 }, initialIt is adjusted by 0.075946
Whole is 0.076057；The original boundary value of overlapping area error be adjusted to by { 0,0.2,0.4,0.6,0.8,1.0 } 0,0.138,
0.225,0.597,0.700,1.0 }, initiallyIt is adjusted to 0.16224 by 0.067195；The original side of amount of monomer error
Dividing value be adjusted to by { 0,0.090,0.180,0.270,0.360,0.451 } 0,0.013,0.029,0.045,0.200,
0.451 }, initiallyIt is adjusted to 0.066794 by 0.028435；The original boundary value of global error by 0,0.178,
0.356,0.534,0.712,0.890 } it is adjusted to { 0,0.148,0.263,0.450,0.657,0.890 }, initialBy
0.044673 is adjusted to 0.128448.
2 initial section of table and corresponding frequency matrix table
3 final section of table and corresponding frequency matrix table
Since the dispensing error of artificial marine habitat is distributed within a certain range, the evaluation to launching technology should not be fuzzy
, thus indicate artificial marine habitat input situation with the degree for belonging to each grade.According to calculating above as a result, to artificial marine habitat
It launches error to be classified, is divided into five grades, I~V has respectively represented " good, preferable, medium, poor, very poor ", with reefs
For interval error, the criteria for classifying is shown in Table 4.
4 grading standard table of table
If according to ratings above divide results, it can be seen that when different throwings reef marine sites launch error result difference but
When being in the same grade interval again, the dispensing industrial grade obtained is the result is that identical.It is this to comment when evaluation requires relatively low
Valence result can be received, but when needing to distinguish the difference degree of the two dispensing marine site dispensing technologies, social estate system
Evaluation method is obviously less rational.Social estate system evaluation method is relatively low to the sensitivity for launching error, and evaluation result compares
It is fuzzy, since the grade of evaluation uses the standard of five grades, since grade is very little, can not specific, concrete launch the quality of result
Degree.And the ability that hundred-mark system distinguishes evaluation object difference is strong, can distinguish the nuance of dispensing technology quality, different comments
It is comparable between valence object, more conducively manager accurately understands the good and bad degree that artificial marine habitat launches construction results.When
When needing more accurately to launch construction results, hundred-mark system evaluation result is more suitable.Therefore, it is necessary to formulate social estate system and hundred-mark system
Between conversion method, to meet different evaluation requirements.By to launch error analysis, made social estate system result with
The correspondence of hundred-mark system result, circular such as formula 12.If showing that the result for launching error is the shape of social estate system
Formula then can be converted into corresponding hundred-mark system result according to the correspondence of table and formula grade and hundred-mark system.
In formula, i is the grade of error, PiFor the hundred-mark system evaluation result of error, Pi-1For the percentage of a grade in error
System is as a result, eiFor the upper dividing value of the error grade, ei-1For the floor value of the error grade.
S7：Artificial marine habitat launches error assessment step.
After the actual value of each error element being converted to metrics evaluation value according to discretization method, so that it may with according to index
Evaluation of estimate is launched technology to artificial marine habitat and is evaluated, and as shown in table 5, the result divided according to ratings above obtains throwing reef marine site
Each error component launches the good and bad degree of technology.
5 error assessment result table of table
In position of centre of gravity error, overlapping area error and global error in terms of these three, the throwing in bay and open waters
It puts error and is less than islands and reefs marine site, bay is identical with the dispensing grade in islands and reefs marine site；And in amount of monomer error and reefs spacing
In terms of error, the dispensing error in islands and reefs marine site is minimum, launch grade be respectively (II grade, 38.75% launches error) and (IV grade,
66.30% launches error), it is best to launch technology；In terms of periphery area, the evaluation of the dispensing errors of different waters in social estate system
Evaluation result is identical under method, and without quality difference, and according to the evaluation result of hundred-mark system, the dispensing error of open waters is
23.39%, it is less than the dispensing grade in other marine sites；First bay and the second bay obtain identical comment in terms of different errors
Valence grade, using the evaluation method of hundred-mark system, the result of evaluation is also similar, and difference is little, and the evaluation of estimate of some error criterions is very
It is extremely identical, that is to say, that regardless of the unit fish shelter to same throwing reef marine site divides, it is similar that fish shelter launches error assessment result.
For bay marine site and open waters, the dispensing result of reefs spacing is worst, and (social estate system result is V, and the result of hundred-mark system is all
80% or more), illustrate to be distributed between the two throwing reef marine site reefs more scattered.In all error criterions, periphery
Area error launch grade different throwing reef marine sites be all it is highest (social estate system result be II, hundred-mark system result is below
40%), the effect of dispensing is best.
The present invention has been described in detail with reference to the accompanying drawings, those skilled in the art can be according to upper
It states and bright many variations example is made to the present invention.Thus, certain details in embodiment should not constitute limitation of the invention, this
Invention will be using the range that the appended claims define as protection scope of the present invention.
Claims (10)
1. a kind of artificial marine habitat launches quality evaluating method, including step：
S1：Artificial marine habitat is surveyed in the actual distribution state in target marine site, obtains practical point of the target marine site of the artificial marine habitat
Cloth data；
S2：The artificial marine habitat clustering and comparison step；
S3：The artificial marine habitat launches error calculating step；
S4：The artificial marine habitat launches error distribution rule analytical procedure；
S5：The artificial marine habitat launches the distribution analytical procedure of error；
S6：The artificial marine habitat launches grade of errors partiting step；
S7：The artificial marine habitat launches error assessment step.
2. artificial marine habitat according to claim 1 launches quality evaluating method, which is characterized in that the S1 steps are further
Including step：
S11：The underwater topographic map in the target marine site is obtained using acoustic instrument；
S12：The target marine site of each artificial marine habitat in the underwater topographic map is extracted using ArcGis vector quantization functions
Actual distribution data.
3. artificial marine habitat according to claim 1 launches quality evaluating method, which is characterized in that in the S2 steps, point
Clustering and ratio are not carried out to the artificial marine habitat by partition clustering method, hierarchy clustering method and constraint clustering method
Compared with.
4. artificial marine habitat according to claim 3 launches quality evaluating method, which is characterized in that the constrained clustering method
Including step：
According to the target marine site actual distribution data of the artificial marine habitat, the Delaunay tri- about whole fish shelter monomers is built
Angle net；
It is modified to the Delaunay triangulation network by applying whole constraints and local constraint, obtains a constraint
Triangulation diagram, the constraint triangulation diagram include an at least unit fish shelter and/or the discrete at least one fish shelter monomer, described
Unit fish shelter includes multiple fish shelter monomers；
According to maximum distance criterion, the fish shelter monomer discrete in the constraint triangulation diagram is agglomerated.
5. artificial marine habitat according to claim 4 launches quality evaluating method, which is characterized in that
The expression formula of the entirety constraints C_Global is：
C_Global=α k (1)；
Wherein, α is adjustment factor, and k is the distance between described fish shelter monomer；
The expression formula of the local constraint is：
Wherein, piFor the i-th fish shelter monomer, i is the natural number more than or equal to 1；N(pi) it is to be connected with the i-th fish shelter monomer
Side quantity；ejFor with piConnected side；
It is described by apply whole constraints and local constraint to the Delaunay triangulation network modify step into
One step includes step：
When the distance between described fish shelter monomer is more than the whole constraints, institute in the Delaunay triangulation network is deleted
The side between fish shelter monomer is stated, an artificial marine habitat is obtained and divides sparse graph；
When the distance between described fish shelter monomer is more than the local constraint, deletes the artificial marine habitat and divide sparse graph
Described in side between fish shelter monomer, obtain the constraint triangulation diagram.
6. artificial marine habitat according to claim 5 launches quality evaluating method, which is characterized in that described according to maximum distance
Criterion agglomerates the fish shelter monomer step discrete in the constraint triangulation diagram and further comprises step：
The center of gravity of each unit fish shelter of computation-intensive distribution,
By the center of gravity according to the maximum distance principle, by have dense distribution around the unit fish shelter it is discrete described in
Fish shelter monomer is integrated into the neighbouring unit fish shelter；
The minimum distance for calculating the remaining discrete fish shelter monomer and having the unit fish shelter, according to the most long distance principle
Merge the fish shelter monomer nearest with unit fish shelter distance.
7. artificial marine habitat according to claim 6 launches quality evaluating method, which is characterized in that the people in the S3
Work fish shelter launches error calculation：Position of centre of gravity error calculation, periphery area error calculation, overlapping area error calculation, list
Body quantitative error calculates and reefs interval error calculates；
The position of centre of gravity error calculation formula is as follows：
Wherein, x0For the plane coordinates (x of the design gravity of the unit fish shelter0,y0) x-axis coordinate value, y0For the unit fish
Plane coordinates (the x of the design gravity of reef0,y0) y-axis coordinate value；X is the plane coordinates of the actual measurement center of gravity of the unit fish shelter
The x-axis coordinate value of (x, y), y are the y-axis coordinate value of the plane coordinates (x, y) of the actual measurement center of gravity of the unit fish shelter；Δ d attaches most importance to
The heart deviates absolute error；L is the half for presetting the unit fish shelter catercorner length；δwFor the unit fish shelter centre-of gravity shift phase
To error；
The periphery area error calculation formula is as follows：
δp=(S0-S)/S0(4)；
Wherein, S0For the unit fish shelter design area, S is the unit fish shelter measured area；δpFor the unit fish shelter area
The relative error of variation；
The overlapping area error calculation formula is as follows：
δOA=1-SI/S0(5)；
Wherein, SIThe area of overlapping region between the unit fish shelter design section and actual measurement region；δOAFor the unit
Fish shelter surveys the goodness of fit between region and design section；
The amount of monomer error calculation formula is as follows：
δN=(N0-N)/N0(6)；
Wherein, N0Quantity for the fish shelter monomer designed in the unit fish shelter；N is the institute that is surveyed in the unit fish shelter
State the quantity of fish shelter monomer；δNFor the relative error of the variation of fish shelter amount of monomer described in the unit fish shelter；
The reefs interval error calculation formula is as follows：
Wherein,The design value of spacing between the fish shelter monomer, a are the length of side of the fish shelter monomer,For the fish shelter
The measured value of monomer spacing,For the relative error of the fish shelter monomer spacing；
Further include that by normalization algorithm conversion, the error criterion packet is normalized in each error criterion by step in the S3
Include the centre-of gravity shift absolute error, the unit fish shelter centre-of gravity shift relative error, the phase of the unit fish shelter area change
Fish shelter monomer described in the goodness of fit, the unit fish shelter between error, unit fish shelter actual measurement region and design section
The relative error of quantity variation and the opposite of the fish shelter monomer spacing are missed；The normalization algorithm is：
Wherein, x ' is the measured value of the error criterion, and y ' is the conversion value after error criterion normalization.
8. artificial marine habitat according to claim 7 launches quality evaluating method, which is characterized in that the S4 steps are further
Including step：
Error distribution is launched respectively according to just too distribution, exponential distribution and logarithm are just dividing very much to the artificial marine habitat
Analysis obtains error distributed data；
Analysis is fitted to the error distributed data by a fitting formula, the fitting formula is：
Wherein, ζ is that fit standard is poor, i=1,2 ..., n；xiPractical frequency value in being grouped for i-th,To intend in i-th of grouping
The probability value of conjunction；N is the packet count of histogram frequency distribution diagram；R is related coefficient, xmFor the mean value of practical frequency；For fitting
The mean value of probability；The related coefficient numerical value is the bigger the better, and the fit standard difference value is the smaller the better.
9. artificial marine habitat according to claim 8 launches quality evaluating method, which is characterized in that in the S5 steps, when
When error obedience is just distributed very much, the distribution of error is launched by artificial marine habitat described in an error distribution formula analysis,
The error distribution formula is：
Wherein, X is stochastic variable, and μ is the mathematic expectaion of stochastic variable X, and σ is standard deviation, κ be stochastic variable X appear in
Determine the probability in section (μ-κ σ, μ+κ σ)；P(μ-κσ<X<μ+κ σ) it is fiducial probability.
10. artificial marine habitat according to claim 9 launches quality evaluating method, which is characterized in that the S6 steps are into one
Step includes step：
S61：The grade of errors number divided needed for being arranged；
S62：The artificial marine habitat in each target marine site is launched into error using wide discretization method and is distributed in each error
In error range section corresponding to grade；
S63：Redundancy formula is relied on according to one, one is calculated and relies on redundancy angle value, and using the dependence redundancy angle value as dependence
Redundancy initial value：
Wherein, AjFor j-th of dispensing error；C is marine site；PsrIt indicates that error belongs to and launches marine site as csLaunch error AjActual value
For vjkProbability；Ps+Indicate that it is c to launch marine sitesAll errors probability；P+rIt is fallen in section [e to launch errorr-1,er]
Probability, erFor the maximum value in the error range section of r grade of errors, [er-1] be r grade of errors error range section
Minimum value；I(C：Aj) indicate to share information；H (C, Aj) indicate combination entropy；
S64：The boundary in the error range section is adjusted using class dependency degree discretization algorithm.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737649A (en) * | 2020-05-29 | 2020-10-02 | 海南大学 | Method for judging space competitive behavior relation among fishes |
| CN112624344A (en) * | 2020-11-25 | 2021-04-09 | 安徽水韵环保股份有限公司 | Clam and snail cooperative purification system for water environment treatment |
| CN113095678A (en) * | 2021-04-13 | 2021-07-09 | 中山大学 | Data quality evaluation method of carbon emission quota allocation technology |
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2018
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737649A (en) * | 2020-05-29 | 2020-10-02 | 海南大学 | Method for judging space competitive behavior relation among fishes |
| CN112624344A (en) * | 2020-11-25 | 2021-04-09 | 安徽水韵环保股份有限公司 | Clam and snail cooperative purification system for water environment treatment |
| CN113095678A (en) * | 2021-04-13 | 2021-07-09 | 中山大学 | Data quality evaluation method of carbon emission quota allocation technology |
| CN113095678B (en) * | 2021-04-13 | 2023-08-29 | 中山大学 | Data quality evaluation method of carbon emission quota allocation technology |
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