CN110046211A - Surveying and mapping result catalogue based on semantic integrity automaticly inspects and storage dissemination method - Google Patents
Surveying and mapping result catalogue based on semantic integrity automaticly inspects and storage dissemination method Download PDFInfo
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- CN110046211A CN110046211A CN201910303503.9A CN201910303503A CN110046211A CN 110046211 A CN110046211 A CN 110046211A CN 201910303503 A CN201910303503 A CN 201910303503A CN 110046211 A CN110046211 A CN 110046211A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The surveying and mapping result catalogue based on semantic integrity that the invention discloses a kind of automaticly inspects and storage dissemination method, it include achievement type including creation, achievement field, the metadata semantics integrity rule model for complying with standard specification of field specification value three parts, then surveying and mapping result catalogue data to be checked is inputted, successively pass through field integrity checking, field specification value inspection, metadata iterative testing realizes that the rear outgoing inspection that automaticly inspects of catalogue data is reported, the surveying and mapping result catalogue data after checking will finally be completed and be stored in database, and the processes such as external publication after being uniformly updated to database.Its remarkable result is: by establishing metadata semantics integrity rule model, the metadata of surveying and mapping result catalogue to be detected automaticly inspect, has been put in storage, no manual intervention can outgoing inspection report, workload can be greatly reduced, user cost is saved, efficiency is improved, scalability is strong, applied widely.
Description
Technical field
The present invention relates to geographical mapping technical fields, and in particular to a kind of surveying and mapping result catalogue based on semantic integrity
It automaticly inspects and storage dissemination method.
Background technique
Surveying and mapping result catalogue is that the achievement of combing integration is carried out to surveying and mapping result resource, can effectively facilitate surveying and mapping result resource
Shared and application.With the continuous development of surveying production, the unit for carrying out surveying and mapping result production is more and more, and surveying and mapping result is deposited
In features such as multi-scale, polymorphic type, multi-sources, the case where causing the surveying and mapping result catalogue of junction not meet standard criterion, is more next
More universal, such as achievement type multiplicity, the problems such as attribute information structure is inconsistent, multi-sourcing, diversified, are numerous, this is to survey
It is drawn in the publication of fruit catalogue and shares and bring great difficulty, each surveying and mapping result keeping unit examines surveying and mapping result catalogue automatically
The demand looked into becomes increasingly urgent.
However, due to junction surveying and mapping result catalogue there are field missing, it is semantic inconsistent, space is inconsistent the problems such as, adopt
When being checked to surveying and mapping result catalogue with the prior art, be put in storage process, manual intervention is more, not only heavy workload, Er Qierong
Easily there is erroneous detection, detection leakage phenomenon, the reliability of inspection result is not high.
Summary of the invention
In view of the deficiencies of the prior art, the surveying and mapping result catalogue based on semantic integrity that the object of the present invention is to provide a kind of
It automaticly inspects and is put in storage dissemination method, examined automatically by supplement surveying and mapping result metadata semantics integrity rule model with metadata
It looks into, can be realized to the automaticly inspecting of junction surveying and mapping result catalogue, is put in storage, greatly improve inspection and the hair of surveying and mapping result catalogue
Cloth efficiency, while manual inspection being avoided to be easy to appear wrong situation.
In order to achieve the above objectives, The technical solution adopted by the invention is as follows:
A kind of surveying and mapping result catalogue based on semantic integrity automaticly inspect with storage dissemination method, key be include
Following steps:
Step 1: creation metadata semantics integrity rule model, i.e. creation include achievement type, achievement field, field rule
The metadata semantics integrity rule model for complying with standard specification of typical value three parts；
Step 2: inputting data to be checked, that is, input surveying and mapping result catalogue data to be checked；
Step 3: field integrity checking, i.e., according to achievement type in metadata semantics integrity rule model it is corresponding at
Fruit field exports all lacunas to whether including that all achievement fields check in surveying and mapping result catalogue data to be checked
Field, and obtain the unique value of each effective field；
Step 4: field specification value inspection is advised according to the corresponding field of achievement field in metadata semantics integrity model
Typical value carries out the inspection of field specification value to effective field in surveying and mapping result catalogue data to be checked, judges effective field unique value
With the presence or absence of in corresponding field normal value, if there is no exporting the field value；
Step 5: metadata iterative testing will pass through the mapping to be checked of integrity checking and field specification value inspection
Metadata in achievement catalogue data carries out word for word section with existing surveying and mapping result catalogue data and traverses comparison check, when existing survey
It is drawn in fruit catalogue data that there are export the metadata when metadata；
Step 6: outgoing inspection report: after the inspection for completing whole fields, outgoing inspection report；
Step 7: the surveying and mapping result catalogue data after checking will be completed and be stored in database, and uniformly database is updated
Externally publication afterwards.
Further, the achievement type is to belong to which class surveying and mapping result classification is retouched to surveying and mapping result catalogue to be checked
It states, including but not limited to Vector Topographic Map, digital elevation model, framing orthography, digital raster graphic, artificially generated terrain figure, three
Angle point, bench mark, gravity station, GNSS achievement, satellite image, remote sensing image.
Further, the achievement field is according to achievement type, for metadata needed for expressing corresponding achievement type
Field, including but not limited to map sheet number, scale bar, resolution ratio, geodetic datum, height datum, production time.
Further, the field specification value is to require to be formed according to standard criterion according to achievement type and achievement field
Field enumerated value, including but not limited to for the scale bar field of Vector Topographic Map.
Further, the surveying and mapping result catalogue data to be checked is Shapefile or GDB format.
Further, during the storage of the surveying and mapping result catalogue data, first to the surveying and mapping result completed after checking
Catalogue data carries out data type judgement, will complete the surveying and mapping result catalogue data after checking and is divided into point data, non-framing data
With framing data.
Further, the point data includes triangle point data and level point data, when complete mapping after inspection at
When fruit catalogue data is judged as point data, coordinate system inspection is carried out to data, when not being national 2000 coordinate system by data into
Row coordinate is converted, and is stored in database after the data and metadata association after coordinate is converted, otherwise direct without coordinate conversion
Storage.
Further, the non-framing data packet includes but is not limited to satellite image and aviation image, after completing to check
Surveying and mapping result catalogue data when being judged as non-framing data, data pumping is carried out to surveying and mapping result catalogue data combination figure range
It is dilute, coordinate system inspection is then carried out, data are subjected to coordinate conversion when not being national 2000 coordinate system, by the range after conversion
In conjunction with figure be put in storage after metadata association, otherwise without coordinate convert directly be put in storage after metadata association.
Further, the data are vacuated process and are carried out using Douglas-Pu Ke algorithm.
Further, the framing data includes but is not limited to Vector Topographic Map and digital elevation model, when completion is examined
When surveying and mapping result catalogue data after looking into is judged as framing data, the map sheet number and standard of surveying and mapping result catalogue data are directly utilized
Framing grid is associated, and is then put in storage metadata.
Remarkable result of the invention is:
1, reduce costs: the present invention is realized by establishing metadata semantics integrity rule model to standardization
The expression of surveying and mapping result catalogue, and the metadata of surveying and mapping result catalogue to be detected automaticly inspect, has been put in storage, prosthetic is dry
In advance can outgoing inspection report, workload can be greatly reduced, saved user cost.
2, efficiency is improved:
The present invention can greatly improve the inspection and efficiency for issuing of surveying and mapping result catalogue, while automation inspection avoids
Manual inspection is easy to appear the situation of mistake.
3, scalability is strong: the present invention can be realized by supplementing surveying and mapping result metadata semantics integrity rule model
The extension of surveying and mapping result type, field and field specification value.
4, applied widely: present invention may apply to other to need to carry out data field integrality, field value normalization
And the situation of data redundancy quality examination.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is the schematic diagram of the metadata semantics integrity rule model；
Fig. 3 is the flow chart of the surveying and mapping result catalogue data storage.
Specific embodiment
Specific embodiment and working principle of the present invention will be described in further detail with reference to the accompanying drawing.
As shown in Figure 1, a kind of surveying and mapping result catalogue based on semantic integrity automaticly inspects and is put in storage dissemination method, specifically
Steps are as follows:
Step 1: creation metadata semantics integrity rule model, i.e. creation include achievement type, achievement field, field rule
The metadata semantics integrity rule model for complying with standard specification of typical value three parts, as shown in Figure 2；
Wherein, the achievement type is to belong to the description of which class surveying and mapping result classification to surveying and mapping result catalogue to be checked, main
It to include Vector Topographic Map, digital elevation model, framing orthography, digital raster graphic, artificially generated terrain figure, triangulation point, level
The contents such as point, gravity station, GNSS achievement, satellite image, remote sensing image.The achievement field is to be used for table according to achievement type
It mainly include map sheet number, scale bar, resolution ratio, geodetic datum, elevation base up to metadata fields needed for corresponding achievement type
The contents such as standard, production time.The field specification value is to require to be formed according to standard criterion according to achievement type and achievement field
Field enumerated value, such as the scale bar field of Vector Topographic Map, then comprising " 1:500 ", " 1:2000 ", " 1:5000 ",
The contents such as " 1:10000 ", " 1:50000 ", " 1:250000 ".
Metadata semantics integrity rule model is the expression realized to the surveying and mapping result catalogue of standardization, such as real
Existing surveying and mapping result catalogue, which automaticly inspects, also needs specific method, the surveying and mapping result catalogue side of automaticly inspecting based on semantic integrity
For method referring to step 2-6, specific process is as follows:
Step 2: inputting data to be checked, that is, input surveying and mapping result catalogue data to be checked, support the Shapefile of mainstream
Or GDB format, it can also be certainly extended formatting when specific implementation；
Step 3: field integrity checking, i.e., according to achievement type in metadata semantics integrity rule model it is corresponding at
Fruit field exports all lacunas to whether including that all achievement fields check in surveying and mapping result catalogue data to be checked
Field, and obtain the unique value of each effective field；
Step 4: field specification value inspection is advised according to the corresponding field of achievement field in metadata semantics integrity model
Typical value carries out the inspection of field specification value to effective field in surveying and mapping result catalogue data to be checked, judges effective field unique value
With the presence or absence of in corresponding field normal value, if there is no exporting the field value；
Step 5: metadata iterative testing will pass through the mapping to be checked of integrity checking and field specification value inspection
Metadata in achievement catalogue data carries out word for word section with existing surveying and mapping result catalogue data and traverses comparison check, when existing survey
It is drawn in fruit catalogue data that there are export the metadata when metadata；
Step 6: outgoing inspection report: after the inspection for completing whole fields, outgoing inspection report；
By the surveying and mapping result catalogue of metadata inspection, needs to be put in storage the work that could gear to the needs of the society after publication and provide to inquire and take
Business, in order to solve the problems, such as the Space Consistency of surveying and mapping result catalogue, only this enters step 7.
Step 7: the surveying and mapping result catalogue data after checking will be completed and be stored in database, and uniformly database is updated
Externally publication afterwards:
The data loading process is specific as shown in figure 3, carrying out first to the surveying and mapping result catalogue data completed after checking
Data type judgement will complete the surveying and mapping result catalogue data after checking and be divided into point data, non-framing data and framing data:
1), point data: for point datas such as triangulation point, bench marks, coordinate system inspection is carried out to data first, when not being state
Data are subjected to coordinate conversion when 2000 coordinate system of family, are stored in after the point catalogue data and metadata association after coordinate is converted
Otherwise database is directly put in storage without coordinate conversion；
2), non-framing data: framing data non-for satellite image, aviation image etc., to surveying and mapping result catalogue data knot
Conjunction figure range using Douglas-Pu Ke algorithm carry out data vacuate, then carry out coordinate system inspection, when be not country 2000 sit
Data are subjected to coordinate conversion when mark system, the range after conversion is combined figure and is put in storage after metadata association, otherwise without sitting
Mark conversion directly be put in storage after metadata association；
3), framing data: for the Standard division ranges data such as Vector Topographic Map, digital elevation model, map sheet number is directly utilized
It is associated with Standard division range grid, that is, after being matched using the map sheet number inside map sheet number and Standard division range grid,
Directly metadata and the grid inside Standard division range grid are associated, are then put in storage metadata, be stored as one it is new
Edition data.
Technical solution provided by the present invention is described in detail above.Specific case used herein is to this hair
Bright principle and embodiment is expounded, method of the invention that the above embodiments are only used to help understand and its
Core concept.It should be pointed out that for those skilled in the art, in the premise for not departing from the principle of the invention
Under, it can be with several improvements and modifications are made to the present invention, these improvement and modification also fall into the protection of the claims in the present invention
In range.
Claims (10)
1. a kind of surveying and mapping result catalogue based on semantic integrity automaticly inspects and storage dissemination method, it is characterised in that including such as
Lower step:
Step 1: creation metadata semantics integrity rule model, i.e. creation include achievement type, achievement field, field specification value
The metadata semantics integrity rule model for complying with standard specification of three parts；
Step 2: inputting data to be checked, that is, input surveying and mapping result catalogue data to be checked；
Step 3: field integrity checking, i.e., according to the corresponding achievement word of achievement type in metadata semantics integrity rule model
Section exports all lacuna fields to whether including that all achievement fields check in surveying and mapping result catalogue data to be checked,
And obtain the unique value of each effective field；
Step 4: field specification value inspection, i.e., according to the corresponding field specification of achievement field in metadata semantics integrity model
Value carries out the inspection of field specification value to effective field in surveying and mapping result catalogue data to be checked, judges that effective field unique value is
It is no to be present in corresponding field normal value, if there is no the output field value；
Step 5: metadata iterative testing will pass through the surveying and mapping result to be checked of integrity checking and field specification value inspection
Metadata in catalogue data, with existing surveying and mapping result catalogue data carry out word for word section traverse comparison check, when it is existing mapping at
There are export the metadata when metadata in fruit catalogue data；
Step 6: outgoing inspection report: after the inspection for completing whole fields, outgoing inspection report；
Step 7: the surveying and mapping result catalogue data after checking will be completed and be stored in database, and is right after being uniformly updated to database
Outer publication.
2. the surveying and mapping result catalogue according to claim 1 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the achievement type is the description for belonging to which class surveying and mapping result to surveying and mapping result catalogue to be checked and classifying, including
But it is not limited to Vector Topographic Map, digital elevation model, framing orthography, digital raster graphic, artificially generated terrain figure, triangulation point, water
On schedule, gravity station, GNSS achievement, satellite image, remote sensing image.
3. the surveying and mapping result catalogue according to claim 1 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the achievement field is according to achievement type, for metadata fields needed for expressing corresponding achievement type, packet
Include but be not limited to map sheet number, scale bar, resolution ratio, geodetic datum, height datum, production time.
4. the surveying and mapping result catalogue according to claim 1 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the field specification value is to require the field to be formed according to standard criterion according to achievement type and achievement field
Enumerated value, including but not limited to for the scale bar field of Vector Topographic Map.
5. the surveying and mapping result catalogue according to claim 1 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the surveying and mapping result catalogue data to be checked is Shapefile or GDB format.
6. the surveying and mapping result catalogue according to claim 1 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: during the storage of the surveying and mapping result catalogue data, first to the surveying and mapping result catalogue number completed after checking
According to data type judgement is carried out, the surveying and mapping result catalogue data after checking will be completed and be divided into point data, non-framing data and framing
Data.
7. the surveying and mapping result catalogue according to claim 6 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the point data includes triangle point data and level point data, surveying and mapping result catalogue number after completing inspection
It is judged that carrying out coordinate system inspection to data when being point data, data are subjected to coordinate when not being national 2000 coordinate system and are turned
It changes, is stored in database after the data and metadata association after coordinate is converted, be otherwise directly put in storage without coordinate conversion.
8. the surveying and mapping result catalogue according to claim 6 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the non-framing data packet includes but is not limited to satellite image and aviation image, when complete mapping after inspection at
When fruit catalogue data is judged as non-framing data, to surveying and mapping result catalogue data combination figure range carry out data vacuate, then into
Data are carried out coordinate conversion when not being national 2000 coordinate system by row coordinate system inspection, by the range after conversion combine figure with
Be put in storage after metadata association, otherwise without coordinate conversion directly be put in storage after metadata association.
9. the surveying and mapping result catalogue according to claim 8 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is carried out it is characterized by: the data vacuate process using Douglas-Pu Ke algorithm.
10. the surveying and mapping result catalogue according to claim 6 based on semantic integrity automaticly inspects and is put in storage dissemination method,
It is characterized by: the framing data includes but is not limited to Vector Topographic Map and digital elevation model, survey after completing inspection
When being drawn in fruit catalogue data and being judged as framing data, the map sheet number of surveying and mapping result catalogue data and Standard division range grid are directly utilized
It is associated, is then put in storage metadata.
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Address after: 400020 Jiangbei District, Chongqing electric measuring Village No. 231 Applicant after: Chongqing geographic information and Remote Sensing Application Center (Chongqing surveying and mapping product quality inspection and testing center) Address before: 400000 electric survey village, Jiangbei District, Chongqing City, No. 231 Applicant before: Chongqing Geographical Information Center |
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Application publication date: 20190723 |