CN110287230A - A kind of Large-scale areas National land space monitoring method for parallel processing - Google Patents
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Abstract
The present invention provides a kind of Large-scale areas National land space monitoring method for parallel processing, including according to the generaI investigation of geographical national conditions and basic geographical national conditions Monitoring Result, classifies, be integrally formed National land space monitoring data collection；National land space monitored data analysis is divided into basic statistics class, Landscape metrics class, spatial statistics class, place monitoring class and water front buffer strip class；According to basic geographical national conditions Monitoring Result and sorted as a result, carrying out ellipsoid bulk area and spheroid length computation to National land space monitoring data collection；By administration cell rank, data acquisition time and monitoring index type, the parallel computation for carrying out multithreading to monitoring data and index is divided；The calculating of multiple series processes is carried out simultaneously, output database and output data structure are established in main procedure, the result of each serial computing is subjected to collect statistics and is exported, each index that region National land space monitors under large scale is obtained, the difficulty of Large-scale areas National land space monitoring is greatly reduced.
Description
Technical field
The present invention relates to National land space monitoring technical fields, propose a kind of National land space monitoring method for parallel processing, especially
It is, data volume biggish situation in progress National land space monitoring wider in region.
Background technique
The building of National land space monitored data analysis can be optimization National land space exploitation protection pattern, building main functionality
All kinds of natural resources of control unit, reasonable disposition, ecological protection reparation etc. etc. provide science support.On the other hand, carry out
National land space Monitoring and supervision, involve a wide range of knowledge, it is technical it is strong, enforcement difficulty is big.In order to meet large scale National land space monitoring process
In big data quantity, diversified index classification, complex space calculate etc. demands, this method provides earth polygon ellipsoid bulk areas
Parallel computation, multiple modules such as monitoring index is parallel, carries out Classification Management for type National land space monitoring index abundant, in order to
The development of solution Large-scale areas provides powerful support.
But during current foundation and calculating National land space monitored data analysis, speed is slow, it is to restrict that time-consuming
Where the main bottleneck that National land space monitoring is carried out.On the one hand, fundamental space data statistics collection data volume is huge, with Sichuan
For province, land cover pattern figure spot number reaches 20,000,000 or more within 2015, in addition the variable quantity between other times and time, place
Reason figure spot number reaches hundred million ranks；On the other hand, the rapid development of computer hardware is so that National land space data in big region
Unified storage and management is possibly realized, and the National land space data of the software of traditional serial computing processing big data quantity are not only fast
Degree is slower, and processing accuracy is not high, such as: ArcGIS is used, the business softwares such as SuperMap are built with the National land space data of 20G
Vertical monitoring index needs five professionals that could complete through one week or so time, therefore accelerates National land space using parallel method and supervise
The building of index system is surveyed for giving full play to computer hardware advantage, it is very necessary to improve related work efficiency.But due to state
Native space monitoring index system is related to the data in a variety of sources, different-format,
Summary of the invention
In order to overcome existing technical problem, the present invention proposes a kind of Large-scale areas National land space monitoring parallel processing side
Method.
Technical solution of the present invention provides a kind of Large-scale areas National land space monitoring method for parallel processing, including walks as follows
It is rapid:
Step 1, according to the generaI investigation of geographical national conditions and basic geographical national conditions Monitoring Result, classify, obtain multiple themes
Tables of data, each tables of data accordingly generates a figure layer, and each theme includes the similar figure layer of multiple data structures, integral data
Table forms National land space monitoring data collection；
Step 2, National land space monitored data analysis is arranged according to National land space monitoring data collection, National land space monitoring is referred to
Mark system be divided by type 5 aspect, including basic statistics class, Landscape metrics class, spatial statistics class, place monitoring class with
And water front buffer strip class；
Step 3, according to basic geographical national conditions Monitoring Result and sorted as a result, according to space geometry calculation formula,
Ellipsoid bulk area and spheroid length computation are carried out to National land space monitoring data collection；
Step 4, by administration cell rank, data acquisition time and monitoring index type, monitoring data and index are carried out
The parallel computation of multithreading divides；
Step 5, while the calculating of multiple series processes is carried out, output database and output data knot is established in main procedure
The result of each serial computing is carried out collect statistics and exported, obtains each finger that region National land space monitors under large scale by structure
Mark.
Moreover, in the step 1, integral data table, including unified standard processing is carried out to spatial data, then into
Row registration, is arranged consistent georeferencing coordinate.
Moreover, the space geometry of each figure layer calculates respectively independently, using figure layer name as incoming ginseng in the step 3
Number, is passed in the calculating process of ellipsoid bulk area and length, in the case where resource allows, opens up multiple serial mistakes as far as possible
Journey is to accelerate calculating process, after return to main procedure after the completion of the calculating process of All Layers.
Moreover, multiple series processes are established using different classifications mode to identical data in the step 4, it is each to go here and there
Row process handles figure layer difference, and the mode based on respective mode classification processing figure layer data is different, and obtained output result is different.
Moreover, in the step 5, for obtain different of different classifications mode as a result, in output data structure into
Row calculates again to summarize with statistics, this process is established according to monitoring index type and indexed, and has established each index with export structure
Whole relationship.
A kind of Large-scale areas National land space monitoring method for parallel processing provided by the invention is based on geographical national conditions generaI investigation and produces
Raw big data quantity, by administration cell, affiliated time, service object carries out the Data Integration of various ways, proposes large scale state
Administrative division is pressed in native spatial dimension, the parallel processing strategy of the different classifications method temporally waited, by the state under Large-scale areas
Native spatial information generates type National land space monitoring index abundant by multiple threads, further serves optimization territory
The sides such as pattern, building main functionality control unit, all kinds of natural resources of reasonable disposition, ecological protection reparation are protected in space development
Face.This method will make full use of the advantage of computer hardware resource, carry out efficient data to input data and output data
It splits and recombinates, greatly reduce the difficulty of Large-scale areas National land space monitoring.
Detailed description of the invention
Fig. 1 is the general frame figure of the embodiment of the present invention.
Fig. 2 is that the space geometry of the embodiment of the present invention calculates schematic diagram.
Fig. 3 is the multitasking schematic diagram of the embodiment of the present invention.
Fig. 4, which is that the breakpoint of the embodiment of the present invention is continuous, calculates design flow diagram.
Specific embodiment
Technical solution for a better understanding of the present invention with reference to the accompanying drawings and examples does further the present invention
It is described in detail.
The embodiment of the present invention proposes a kind of Large-scale areas National land space monitoring method for parallel processing, comprising the following steps:
Step 1, according to the generaI investigation of geographical national conditions and basic geographical national conditions Monitoring Result, classify, obtain ground mulching
Situation, ground mulching situation of change, the tables of data of multiple themes such as water front functional areas ground mulching situation.Each tables of data is corresponding
A figure layer is generated, each theme includes the similar figure layer of multiple data structures, can be ordered by acquisition time and subject area
Name: the ground mulching figure layer for example by acquisition in 2015 is named as Land Cover Area_2015 (referred to as LCA_2015)；
Ground mulching figure layer within the scope of 500 meters of buffer areas of river and lake water front of acquisition in 2015 is named as Waters Land Cover
Area1_2015 (referred to as WLCA1_2015)；And so on.It integrates above-mentioned tables of data and forms National land space monitoring data collection.
In the step 1, except basic data (the ground mulching classification data, road number in geographical national conditions factor data
According to waters information data) outside, the other data used include image data, json profile data, XML configuration file number
According to etc..When it is implemented, need integral data table, i.e. these data data for being a variety of sources, different-format will be to these skies
Between data carry out unified standard processing；Then these spatial datas are registrated, consistent georeferencing coordinate is set.
Step 2, National land space monitored data analysis is arranged according to National land space monitoring data collection.By acquiring large scale state
Territory information characteristics in a variety of landscape index bond areas in native space, are divided into 5 for National land space monitored data analysis by type
A aspect, including basic statistics class, Landscape metrics class, spatial statistics class, place monitoring class and water front buffer strip class.
(1) basic statistics class: i.e. according to the related data of input database, believed using the ground mulching type of input data
Breath and affiliated administrative division encoded information determine that it should be counted into a certain item index, and its data value is inserted corresponding position.It is such
Index has: Urban Land area, agricultural land area etc..
(2) place monitors class: the area monitoring number that National land space monitoring data can be used to concentrate for such parameter
According to the statistical result counted with basic calculating as input data, by the mathematical computations to input data, needed for obtaining
Index value.Such index has: per capita area of cultivated farmland, educational alternative density etc..
(3) spatial statistics class: i.e. according to the space attribute of the space attribute of input database data and corresponding statistic unit
The judgement of spatial relationship is carried out, statistic unit is added in raster data statistical value on this basis, obtains index value.Such index
Have: unit ecological land gross primary productivity, vegetation-cover index etc..
(4) Landscape metrics class: i.e. according to input database and the Landscape metrics related data obtained by basic operation, lead to
Realization of the system to Landscape metrics calculation method is crossed, corresponding Landscape metrics value is added in statistic unit, index value is obtained.This
Class index has: meadow fractal dimension, blue ecological land Perfection Index etc.；
(5) water front buffer strip class: a point different size of buffer area is changed according to water front data, and to the ground in the band of buffer area
Class figure spot and related water front data carry out the calculating of data statistics collection.Such index has: water front protects section length, and water front retains the head of district
Degree etc..
Step 3, according to basic geographical national conditions Monitoring Result and its sorted as a result, being calculated according to space geometry public
Formula carries out ellipsoid bulk area and spheroid length computation to National land space monitoring data collection；
Conventional method, which calculates ellipsoid bulk area and ellipsoid body length under Large-scale areas, has speed slower, and error is biggish
Feature.The statistical result of step 3 when step 4 parameter for using, such as statistics National land space exploitation protection pattern master
It, need to be using the ellipsoid bulk area calculated in step 3 when construction land area change in topic.
In the step 3, the space geometry of each figure layer obtained by step 1 is calculated respectively independently, using figure layer name as biography
Enter parameter, be passed in the calculating process of ellipsoid bulk area and length, in the case where computer allows, opens up as far as possible multiple
Series process is to accelerate calculating process, after return to main procedure after the completion of the calculating process of All Layers.
Spheric polygon areal calculation key under latitude and longitude coordinates with the angular degree of institute that calculates polygon, for
The side spherical surface n shape, institute is angled and is s, spherical radius R, pi Pi, then its areal calculation formula are as follows:
S=R × R × (s- (n-2) × Pi)
According to areal calculation formula above, the primary unknowns needed is interior angle and s, spherical radius R and polygon
Shape number of edges (i.e. number of vertex) n.
The interior angle of polygon needs the geodesic length computation according to adjacent vertex, as shown in Figure 2:
In figure, A, B are two o'clocks on earth spherical surface, 3 points of E, F, H under the line on, A, F two o'clock are on a warp, B, H two
O'clock on a warp, E point is the geodesic curve line of A, B and the intersection point in equator,It is the latitude value of A point,It is the latitude of B point
Angle value, N are arctic points.α0,α1,α2It is line NE, the angle of NA, NB and geodesic curve AB respectively.
The geodesic curve of point-to-point transmission is the shortest distance (S of the point-to-point transmission on spherical surface12), it can be counted according to the longitude coordinate of A, B
Calculate λ12=λ2-λ1,According to the long axis a, short axle b and ellipticity f of spheroid, the length of NA, NB are calculated, then in spherical surface
Length (the S of AB is calculated in triangle NAB12).Repeat the step for calculate all polygon vertex geodetic line lengths, then by
Side length releases all polygon interior angles, and sums it up and obtain polygon interior angle and s, so far, all spheric polygon areal calculation institutes
Requirement is ready.
It is input with the spheroid parameter of CGCS2000 country earth coordinates according to above-mentioned spheroid areal calculation formula
Parameter is converted into latitude array with the geological information of element in each figure layer, and the institute for extracting the side spherical surface n shape is angled and each
Edge lengths are input data, while dividing different series processes according to the data table name of National land space monitoring data collection, are
Each tables of data generates a figure layer as an individual series process, realizes in series process and wants to all of the figure layer
The geological information of element calculates, and is independent of each other, is finally respectively written into the calculated result of each figure layer each between each calculating process
In figure layer.
Step 4, by administration cell rank (provincial, city-level, at county level), data acquisition time, monitoring index type, (territory is empty
Between exploitation protection pattern, main functionality control unit, all kinds of natural resources of reasonable disposition, ecological protection reparation) etc. to prison
The parallel computation that measured data and index carry out multithreading divides, as shown in Figure 3: one is divided into not by its all counties and districts inside the province
Same series process, parameter respectively individually carry out, and the index result that then counties and districts will be divided to calculate is carried out according to affiliated cities and counties
Collect statistics.Method particularly includes: each of National land space monitoring data collection tables of data is raw according to district administrative where it
(being named as PAC) is encoded at administrative area, the first of PAC code saves information where recording it to second, third is recorded to the 4th
City (autonomous prefecture) information where it, the five to six records its location and county information, as PAC code be 510101 expression Sichuan Province at
City Jinniu District, 51 indicate Sichuan Province, and 5101 indicate Chengdu, and 510101 indicate Jinniu District, and first counting PAC code is 51010X
The relevant statistics of the National land space monitoring data collection for belonging to all districts in Chengdu of (X 1,2,3,4 etc.), sum up
The statistical data in Chengdu is obtained, further adduction obtains the statistical data in Sichuan Province.Data are ordered respectively according to the acquisition time
Calculated result is carried out layering output as different series processes by entitled different figure layer and output table.
When it is implemented, each series process of parallel computation can be designed, it, will according to the distinct methods of parallel computation division
Administration cell, time, pointer type are passed to each serial thread of parallel computation as parameter, and other processes are kept in addition to parameter
Unanimously.
Multiple series processes are established using different classifications mode to identical data, each series process processing figure layer is different,
Mode based on respective mode classification processing figure layer data is different, and obtained output result is different.
Step 5, output is established in the calculating for carrying out multiple series processes simultaneously using computer hardware advantage in main procedure
The result of each serial computing is carried out collect statistics and exported, obtains region state under large scale by database and output data structure
Each index of native space monitoring.
In the step 5, obtained for different classifications mode different as a result, need to be carried out again in output data structure
Secondary calculating summarizes with statistics, this process need to be established according to monitoring index type and be indexed, and establishes each index and export structure complete
Relationship.
Referring to fig. 4, multitasking refers to that system can run multiple processes simultaneously, and each process can also be performed simultaneously multiple
Thread.The multitasking of system shows all records that need to carry out spheroid areal calculation for full database, according to
Figure layer carries out thread dividing where it, carries out geological information acquisition, the processes such as reference area value for data in per thread.
The result of multitasking is integrated by kernel thread, when all tasks respectively after the completion of, by all results summarize to
In input database, the merging of multitasking result is completed.
Traditional serial computing refers to execution software write operation on a single computer.CPU is solved using series of instructions
Problem, but wherein there was only one and instruct the use that can provide at any time；Multitasking is evolved on the basis of serial process,
The event successively occurred in a sequence is converted simultaneous, complicated relevant event by it, and the core of conversion is to increase
Instruction number available at any time.Multitasking can reduce the waiting time of same generic task, for per thread, at multitask
It is smaller to manage the expense used；It simultaneously can be with shared resource sufficiently to use the space CPU inside thread.Based on current each surveying and mapping unit
Hardware condition, can give full play to the performance of multiprocessor using multitasking under Windows operating system, promote money
The throughput of source utilization rate and system.
Further, the present invention proposes that, because the data volume of processing is big, export structure is complicated, transports again after system operation error
Capable time cost is high, realizes the continuous calculation function of breakpoint.Referring to fig. 4:
(1) analysis of anomaly and catch mechanism is added in exception, the exception information that will be captured is written to log by conversion
In file, and exception record is skipped, guarantees normal program operation.
(2) log file is scanned before operation, according to the error message of log file record, positions abnormal figure layer,
And executed down since the figure layer, improve operational efficiency.
Such as when handling a certain figure layer record information, capture certain figure layer record lack spatial positional information or its
Not in set attribute codomain, figure layer name and position where system can record this are recorded in log file attribute value, when being
System scans its log file and can navigate to error figure layer when running again, from the figure layer that malfunctions execute.
According to the method described above, the big data quantity generated based on the generaI investigation of geographical national conditions, by administration cell, the affiliated time, service
Object carries out the Data Integration of various ways, proposes to press administrative division within the scope of large scale National land space, the difference point temporally waited
National land space information under Large-scale areas is become to calculate by the parallel processing strategy of class method by multithreading, generates type
National land space monitoring index abundant further serves optimization National land space exploitation protection pattern, building main functionality control
All kinds of natural resources of unit, reasonable disposition, ecological protection reparation etc..This method will make full use of the excellent of computer hardware
Gesture has carried out efficient data to input data and output data and has split and recombinate, greatly reduced Large-scale areas territory
The difficulty of space monitoring.
When it is implemented, software technology, which can be used, in process of the present invention realizes automatic running.The device of the invention is executed also to answer
When within the scope of the present invention.
It is described in the present invention that specific embodiments are merely illustrative of the spirit of the present invention.Technology belonging to the present invention
The technical staff in field can make various modifications or additions to the described embodiments or by a similar method
Substitution, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (5)
1. a kind of Large-scale areas National land space monitors method for parallel processing, which comprises the steps of:
Step 1, according to the generaI investigation of geographical national conditions and basic geographical national conditions Monitoring Result, classify, obtain the number of multiple themes
According to table, each tables of data accordingly generates a figure layer, and each theme includes the similar figure layer of multiple data structures, integral data table shape
At National land space monitoring data collection；
Step 2, National land space monitored data analysis is arranged according to National land space monitoring data collection, by National land space monitoring index body
System is divided into 5 aspects, including basic statistics class, Landscape metrics class, spatial statistics class, place monitoring class and bank by type
Line buffer strip class；
Step 3, according to basic geographical national conditions Monitoring Result and sorted as a result, according to space geometry calculation formula, to state
Native space monitoring data set carries out ellipsoid bulk area and spheroid length computation；
Step 4, by administration cell rank, data acquisition time and monitoring index type, monitoring data and index are carried out multi-thread
The parallel computation of journey divides；
Step 5, while the calculating of multiple series processes is carried out, output database and output data structure is established in main procedure,
The result of each serial computing is subjected to collect statistics and is exported, each index that region National land space monitors under large scale is obtained.
2. a kind of Large-scale areas National land space according to claim 1 monitors method for parallel processing, it is characterised in that: institute
In the step 1 stated, integral data table, including unified standard processing is carried out to spatial data, it is then registrated, setting is consistent
Georeferencing coordinate.
3. a kind of Large-scale areas National land space according to claim 1 monitors method for parallel processing, it is characterised in that: institute
In the step 3 stated, the space geometry of each figure layer is calculated respectively independently, using figure layer name as incoming parameter, is passed to spheroid
In the calculating process of area and length, in the case where resource allows, multiple series processes are opened up as far as possible to accelerate to calculate
Journey, after return to main procedure after the completion of the calculating process of All Layers.
4. a kind of Large-scale areas National land space according to claim 1 or 2 or 3 monitors method for parallel processing, feature
It is: in the step 4, to identical data, using different classifications mode, multiple series processes is established, at each series process
Figure layer difference is managed, the mode based on respective mode classification processing figure layer data is different, and obtained output result is different.
5. a kind of Large-scale areas National land space according to claim 4 monitors method for parallel processing, it is characterised in that: institute
In the step 5 stated, obtained for different classifications mode different as a result, being calculated and being counted again in output data structure
Summarize, this process is established according to monitoring index type and indexed, and each index and export structure is made to establish completeness relation.
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