CN101719127A - Quick systemic checking method of data quality of geological and mineral spatial database - Google Patents

Quick systemic checking method of data quality of geological and mineral spatial database Download PDF

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Publication number
CN101719127A
CN101719127A CN200910113559A CN200910113559A CN101719127A CN 101719127 A CN101719127 A CN 101719127A CN 200910113559 A CN200910113559 A CN 200910113559A CN 200910113559 A CN200910113559 A CN 200910113559A CN 101719127 A CN101719127 A CN 101719127A
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attribute
data
inspection
check
correctness
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Inventor
周可法
常想德
张清
孙莉
秦艳芳
程宛文
刘朝霞
张海波
王桂刚
李明明
孙雷刚
许文强
张楠楠
万应彩
李艳荣
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Xinjiang Institute of Ecology and Geography of CAS
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Xinjiang Institute of Ecology and Geography of CAS
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Abstract

The invention relates to a quick systemic checking method of data quality of a geological and mineral spatial database. The method mainly aims at the checking of the content of the geological and mineral spatial database, which comprises space position accuracy checking, property error checking, topological consistency checking and edge matching checking. In a database establishment process, data in the database is guaranteed to be accurate through multilevel and multilink quality checking and supervision.

Description

Quick systemic checking method of data quality of geological and mineral spatial database
Technical field
The present invention relates to a kind of quick systemic checking method of data quality of geological and mineral spatial database, be mainly used in the quality check of geologic map spatial information database, make geologic map data check efficient work quick.
Background technology
Geologic data content complexity, data volume are big, have multiclass, multi-source, multidimensional, feature such as multiple dimensioned, and therefore method and the techniqueflow to data quality check work proposed very high requirement.
Influence the factor of spatial data quality
Spatial data be to measure, import through real world, the data of processing and feature representation.Generation from the formal representation of spatial data to spatial data; Handle the application that transforms to spatial data from spatial data, all exist influence the spatial data quality.The source that influences the spatial data quality mainly shows the following aspects:
The instability of space phenomenon self: the instability that space phenomenon self exists comprises spatial character and the uncertainty of process on space, special topic, time and content.
The Acquisition Error of spatial data: the error of the quality of data that exerts an influence in the data acquisition is mainly derived from: with the field survey error of total powerstation, electronic tachometer, GPS testing; Measure the remotely-sensed data error that is caused by boat sheet or close shot; The map datum error.
Error during spatial data is handled: the data processing error enters the error that produces in the data handling procedure after being meant the data typing, produce main error have following some: map projection transformation; Map digitizing and vectorized process; Data-switching.Comprise data structure mapping, Data Format Transform and data computation conversion etc.; Spatial analysis; Visualization of data is expressed.
Error during spatial data uses: in the spatial data use, cause reasons of error mainly to comprise aspect two: the one, to the deviation that data are explained, i.e. decipher error; The 2nd, lack statement to the data set relevant information.
Summary of the invention
The object of the invention is, a kind of quick systemic checking method of data quality of geological and mineral spatial database is provided, this method mainly is the inspection at the geological and mineral spatial database content, be divided into the inspection of locus accuracy, the attribute error-detecting, topology consistency check and sheet join inspection through quality check and supervision multi-level, too many levels, guarantee that data are accurate in the database in building the storehouse process.
Quick systemic checking method of data quality of geological and mineral spatial database of the present invention mainly is the inspection at the geological and mineral spatial database content, and concrete operations follow these steps to carry out:
A, at first check the accuracy of locus, check the information that has or not gaps and omissions, the attribute display of spreading out the map in being provided with when checking is checked each field in the attribute successively, mainly is the inspection of attribute typing correctness and integrality;
B, attribute error-detecting
The attribute error-detecting be element category and code in the attribute data of spatial data correspondence correctness, key element property value correctness and with the correctness of spatial data annexation, inspection is by playback diagram and former figure fit or show key element on screen one by one, according to the correctness of map elements Sort Code table sampling check element category attribute, code, or by each property value value access graphic element check each attribute value correctness and with the correctness of graphic element relation;
C, topological consistency check
The topology consistency check, it promptly is the basis geometric error of space exploration data automatically with the topology rule, the topology consistency check checks at the topological mistake of point and point, point and line and line and line and handles, and it mainly comprises and repeats point, dummy node, redundant points, lacks suspension wire error, long suspension wire error and T1 Repeated Line Tl and surface error detection and disposal route;
D, sheet join inspection
It is the inspection of checking in the adjoining sheet same ground object location edge fit and attribute edge fit correctness.
Quick systemic checking method of data quality of geological and mineral spatial database of the present invention, this method are the quality checks at the geological and mineral spatial database content, and it relates generally to the detection method for quality and the scope of examination:
Detection method for quality is:
Geometric error is checked, comprises the inspection of how much rough errors, planimetric position precision and elevation positional precisions.Rough error treatment principle for spatial data is, should be considered as rough error greater than the spatial data of error in 3 times, do not participate in accuracy assessment.1: the 20 ten thousand geologic map database in Xinjiang relates generally to the planimetric coordinates geographic position of geological and mineral information, mainly narrates the calculating of error in the planimetric position at this;
The attribute error-detecting, mainly comprise element category and code in the attribute data of spatial data correspondence correctness, key element property value correctness and with the correctness of spatial data annexation etc.Inspection can or show key element one by one by playback diagram and former figure fit on screen, according to the correctness of map elements Sort Code table sampling check element category attribute, code, also can by each property value value access graphic element check each attribute value correctness and with the correctness of graphic element relation.
The topology consistency check promptly is the basis geometric error of space exploration data automatically with the topology rule.The topology consistency check is primarily aimed at a little to be checked with the topological mistake of point, point and line and line and line and handles, and it mainly comprises and repeats point, dummy node, redundant points, lacks suspension wire error, long suspension wire error and T1 Repeated Line Tl and detection of face equal error and disposal route.
Repeat a differentiation
Calculate 2 of A, B apart from s, if s<ε then puts A, B and overlaps; If s>ε then puts A, B and does not overlap.(wherein ε represents minimum positive number, i.e. tolerance value).As fruit dot A, B all is then to represent this 2 complex points of attaching most importance to the key element of one deck, can directly delete during processing; As fruit dot A, B is not should further judge then with the key element of one deck whether decision deletes.
Dummy node is differentiated
The end points of broken line or line segment is called node.When the end points of a broken line or line segment overlaps with the end points of another broken line or line segment, but there be (in the tolerance limit that allows) simultaneously in these two end points of coincidence place, such point is called dummy node, and in general dummy node is unnecessary point, should delete in topology is handled.Processing for dummy node should be that two broken lines or line segment are carried out the topology merging.
The suspension wire error is differentiated
The broken line or the line segment that have hanging node are called suspension wire, can be divided into short suspension wire and two kinds of long suspension wires according to suspension wire length.Processing for short suspension wire mainly is in marginal range, removes excessive line, promptly is called to remove short suspension wire; Can be for long suspension wire by the method for extending, be about on the neighbor node that long suspension wire extends to another adjacent lines or locate in the middle of the line segment
T1 Repeated Line Tl (face) is differentiated
If two lines (face) object comprises that whole summits of node are overlapping in twos, then be called coincidence line (face) object.Direction is not considered in the judgement of coincidence line (face) object.Coincidence line (face) object often intersects the back by two lines (face) object that partially overlaps and produces.For the processing of coincidence line (face),, then can directly delete a wherein line segment (face) if two line segments (face) all are the key elements with one deck; If two line segment (face) is not with the key element of one deck then should judges further whether decision deletes.
The edge fit Error processing
Be that framing carries out mostly during digitizing, misfitting can appear in the geometric position on adjoining sheet border and attribute after the digitizing, thereby produces the edge fit error of figure.Because the kind that the edge fit error produces is many, the situation more complicated, the algorithm that geologic map database framing splicing in 1: 20 ten thousand is adopted in handling in Xinjiang has following three classes:
The method of average, this method is simple, is applicable to the various straight lines of edge fit error in accuracy rating, the edge fit processing of polyline class, realizes that easily the automatic batch of edge fit is handled.
Force Law is divided into the major-minor map sheet, with of secondary map sheet treat edge fit treat force to conform to the master map width of cloth by contact another treat treating on the contact of edge fit, be the master map width of cloth with a map sheet at p1 place, the coordinate in the p2 coordinate place map sheet is forced to echo up.
Optimization, the method of average or Force Law have no matter been adopted, all to produce a flex point at boundary, if treating edge fit obviously is the straight line limit, this turning had both influenced the demonstration that pattern precision also influences figure, so we not only will be connected together two points on the figure sideline, also to consider and treat the wiring section point-blank behind the edge fit, this method is exactly an optimization, and (x0 y0) is the edge fit point to some p0.
The quality check content
Because the variation in handling and using of the limitation of instability, human knowledge and ability to express that space phenomenon self exists and spatial data makes people always have error to the abstract of the geographical world of reality with expressing.The size of data error directly affects the quality of the quality of data.The spatial data relationship between quality is related to correctness and reliability that various spatial decisions are supported to spatial analysis and operation accuracy.Lack accurate believable quality of data evaluation result, for exchanges data, share and use very big adverse effect is all arranged.Thereby how to the spatial data quality carry out comprehensively, accurately, the inspection of science seems particularly important.In building the storehouse process,, guarantee that data are accurate in the storehouse through quality check and supervision multi-level, too many levels.Quality of data module sees the following form:
Positional precision checks that the position of spatial entities represents with three-dimensional or two-dimensional coordinate that usually positional precision then is the coordinate data of presentation-entity and the degree of closeness of True Data, thereby often represents with the precision of coordinate data.Mainly comprise plane precision, vertical accuracy, edge fit precision etc.
Space reference checks that in data check, the inspection of georeferencing is considerable.For georeferencing with build library standard data inequality, in the expression of spatial information, can form very large dislocation, can not express the relation between the various spatial informations, management on the information also can't realize, thus require data to have unified, with build the georeferencing that library standard conforms to.The space reference inspection comprises: the inspection of the inspection of geographical co-ordinate system and system of projection coordinate.
Attribute data checks that the GIS spatial data is main to be exactly to have comprised graphical information and attribute information, and graphical information is expressed spatial informations such as the dimensional orientation, size, position of entity, and attribute information, then is the carrier of the various information described of the character property of entity.Guarantee the correctness of attribute information, comprehensive, be the key that system can carry out various analyses, inquiry, statistical function.Attribute data inspection to geographic element mainly is to check attribute integrality, correctness, legitimacy etc.
Logical consistency is checked, mainly is to check data mistakes logically, comprises consistency check, minimum angles inspection and the minimum area inspection etc. of inspection to constituent encoder, inspection, key element annotation and association attributes that essential factors space is expressed.
Data integrity checks, is meant that mainly spatial data is in scope, content, structure and have or not unnecessary and aspect such as omission covers the integrated degree of all requirements.
The time precision inspection of data mainly is meant the reliability of geodata temporal information.The update cycle of geodata is longer, thus historical data and real data there is some difference, this has directly influenced effective application of geodata, the time that can upgrade by record data and frequency wait to be represented.The integrality that mainly comprises aspects such as data area, data hierarchy, entity type, attribute data and title.
Topological relation checks that the expression of spatial data also has an important feature, is exactly to exist topological relation between each key element, and the topological relation of checking spatial data is an important step that guarantees the spatial data correctness.Various overlapping, spaces, the rationality that topological relation such as intersects realize by the topological relation inspection.
Sheet join, sheet join are meant in the adjoining sheet in full accord in the expression at edge fit line place to same atural object, comprise position edge fit and attribute edge fit.The position edge fit, check with the atural object of layer interior span map sheet whether continuous at edge fit line place, and according to the coordinate difference calculating location edge fit precision of edge fit atural object.The attribute edge fit, whether main inspection is consistent at the attribute of the continuous atural object in edge fit line place.Implementation method: with the edge fit master map width of cloth is benchmark, along edge fit line search adjoining sheet whether corresponding key element is arranged, and relatively whether attribute codes is consistent, and whether position deviation meets the requirements.
Description of drawings
Fig. 1 is geologic map spatial information quality of data inspection method figure of the present invention
Fig. 2 is a geologic map spatial information Data Update process flow diagram of the present invention
Embodiment
Embodiment
Further describe below in conjunction with accompanying drawing
Quick systemic checking method of data quality of geological and mineral spatial database of the present invention, adopt this method that the foundation of 1: the 20 ten thousand geologic map spatial information database in Xinjiang is demonstrated data base organization's structure and builds storehouse flow process and data-base content with upgrading in the process flow diagram (Fig. 1), inspection work mainly is the inspection at data-base content, checks process flow diagram (Fig. 2) and follow simultaneously according to each factor kind in the database below in conjunction with the quality of data particular exam implementation step is described:
The inspection of orefield, crater and occurrence data
The inspection of orefield and occurrence data at first is an accuracy of checking its locus, inspection has or not the information of gaps and omissions, the attribute display of when checking, can in being provided with, spreading out the map, can check each field in the attribute successively, mainly be the inspection of attribute typing correctness (checking that whether it is according to standard criterion or the unified character format typing of database) and integrality.
The inspection of layer data comprises the position of fault precision, attribute data, and the inspection of logical consistency and integrality, the main scope of examination has:
The correctness inspection of position of fault, whether according to base map interrupting layer center line vector quantization, whether tomography flex point place is level and smooth etc. as;
The inspection of tomography integrality mainly checks according to base map whether the picture of leakage phenomenon is arranged in the database, and each field of attribute list has or not leaks attached property etc.;
The tomography attribute accuracy checks, checks mainly in all types of tomography attribute lists that field is whether according to the standard assignment etc.;
The fault pattern identification and classification is checked, mainly is to check the mistake whether tomography causes according to base map and attribute list fault pattern in classification.
The geological boundary data check
The inspection of geological boundary data comprises the geological boundary positional precision, attribute data, the inspection of logical consistency and integrality, the notebook data storehouse is at first unified typing temporary track, in typing,, in the directly independent typing storehouse such as petrofacies difference boundary line, after finishing, the temporary track typing again the geological boundary of independent typing is copied to from temporary track in the geological boundary database the unconformability boundary line, and carry out the typing of attribute, the main scope of examination has:
The inspection of geological boundary correct position mainly is a correctness of checking spatial geographical locations, checks in the vector quantization whether have the data typing that does not meet the vector quantization requirement according to base map, as whether level and smooth at the flex point place, and Yanzhong line vectorization etc. whether;
Integrity checking mainly is that whether inspection has the geological boundary of omission etc. according to the integrality of the geological boundary of the independent warehouse-in of geographical map inspection;
The inspection of geological boundary attribute accuracy and type identification classification, at first check according to the type field in the geological boundary attribute list whether all kinds of geological boundary classification are correct, check the integrality and the correctness of the typing of all types of geological boundary attribute then successively, check that whether each field is according to the code requirement typing.
The sedimentogeneous rock data check
The sedimentogeneous rock data check comprises its attribute data, the inspection of logical consistency and integrality, and area pattern class sedimentogeneous rock is to duplicate classification and get on the basis of interim face, mainly the scope of examination has:
The inspection of sedimentogeneous rock integrality has mainly checked exhaustively according to base map whether the attribute typing is complete in the stratum and attribute list data, checks the sedimentogeneous rock strata condition that has or not the repetition typing etc.;
Sedimentogeneous rock attribute accuracy and discriminant classification inspection, at first check according to attribute list field classification type whether the sedimentogeneous rock classification is correct, check that then whether each field assignment is according to the standard criterion typing in each attribute list, whether correct, because it is the sedimentogeneous rock type is more, therefore more complicated than the inspection of all the other each factor kinds to the inspection of sedimentogeneous rock.
The irruptive rock data check
The irruptive rock data check comprises the attribute inspection, the inspection of logical consistency and integrality, and the main scope of examination has:
The inspection of irruptive rock integrality has mainly checked exhaustively according to base map whether the attribute typing is complete in the stratum and attribute list data, checks the irruptive rock strata condition that has or not the repetition typing etc.;
Whether irruptive rock attribute accuracy and discriminant classification inspection at first check according to attribute list field classification type whether irruptive rock classification is correct, whether check in each attribute list each field assignment then according to the standard criterion typing, correct etc.
Metamorphosed rock and alteration zone data check
Metamorphosed rock and alteration zone data check mainly are to comprise the attribute inspection, the inspection of logical consistency and integrality, and the scope of examination has:
The inspection of integrality, mainly checked exhaustively according to base map whether the attribute typing is complete in the stratum and attribute list data, inspection has or not the situation on repetition typing stratum, because metamorphosed rock and alteration zone are that cutting classification on the basis of sedimentogeneous rock is duplicated and get according to the base map legend, so to check and have or not the mistake that causes because of cutting etc.;
Attribute accuracy and discriminant classification inspection check according to base map whether it carries out the attribute assignment classification according to legend, the integrality of inspection attribute list field and correctness etc.
The dyke rock data check
The dyke rock data check comprises that the locus is checked, the attribute inspection, the inspection of logical consistency and integrality, and the main scope of examination has:
The correctness inspection of dyke rock Data Position because dyke rock is independent vector quantization warehouse-in, needs its inspection of carrying out positional precision, comprises the unsmooth and very few error that causes of input node of flex point in the vector quantization;
Whether on request whether dyke rock attribute accuracy and discriminant classification inspection mainly classify according to legend according to the different dyke rock key elements of base map inspection, check attribute field assignment, check its integrality and correctness;
The inspection of integrality has mainly checked exhaustively according to base map whether the attribute typing is complete correct in the dyke rock and attribute list data.
The data check of planar waters
The data check of planar waters comprises that the locus is checked, the attribute inspection, the inspection of logical consistency and integrality, and the main scope of examination has:
The inspection of planar water space position and integrality mainly is to check that planar waters has or not the gaps and omissions polyisomenism;
Attribute data and discriminant classification inspection check mainly whether each field of attribute list is imported correctly, and whether whether complete, it is correct to classify.
Sheet join is checked
The sheet join inspection is to be based upon on aforementioned every inspection, mainly is to check in the adjoining sheet inspection of same ground object location edge fit and attribute edge fit correctness is mainly comprised two contents:
The correct position inspection checks whether the atural object of layer interior span map sheet is continuous at edge fit line place together, promptly whether has the dead zone, and whether overlapping phenomenon is arranged;
Attribute accuracy checks whether main inspection is consistent at the attribute of the continuous atural object in edge fit line place.Whether with the edge fit master map width of cloth is benchmark, along edge fit line search adjoining sheet whether corresponding key element is arranged, and checks whether the attribute of corresponding factor kind is consistent, consistent such as the attribute codes of each factor kind such as sedimentogeneous rock among Fig. 1.

Claims (1)

1. a quick systemic checking method of data quality of geological and mineral spatial database mainly is the inspection at the geological and mineral spatial database content, it is characterized in that following these steps to carrying out:
A, at first check the accuracy of locus, check the information that has or not gaps and omissions, the attribute display of spreading out the map in being provided with when checking is checked each field in the attribute successively, mainly is the inspection of attribute typing correctness and integrality;
B, attribute error-detecting
The attribute error-detecting be element category and code in the attribute data of spatial data correspondence correctness, key element property value correctness and with the correctness of spatial data annexation, inspection is by playback diagram and former figure fit or show key element on screen one by one, according to the correctness of map elements Sort Code table sampling check element category attribute, code, or by each property value value access graphic element check each attribute value correctness and with the correctness of graphic element relation;
C, topological consistency check
The topology consistency check, it promptly is the basis geometric error of space exploration data automatically with the topology rule, the topology consistency check checks at the topological mistake of point and point, point and line and line and line and handles, and it mainly comprises and repeats point, dummy node, redundant points, short suspension wire error, long suspension wire error and T1 Repeated Line Tl and surface error detection and processing;
D, sheet join inspection
Check in the adjoining sheet inspection to same ground object location edge fit and attribute edge fit correctness.
CN200910113559A 2009-12-07 2009-12-07 Quick systemic checking method of data quality of geological and mineral spatial database Pending CN101719127A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105427246A (en) * 2015-11-25 2016-03-23 华迪计算机集团有限公司 Map-sheet joining method
CN107122779A (en) * 2017-03-27 2017-09-01 西北大学 A kind of space basis geographical data acquisition system
CN107145579A (en) * 2017-05-05 2017-09-08 国家测绘地理信息局四川测绘产品质量监督检验站 Geography information line feature dummy node inspection method and device
CN107273380A (en) * 2016-04-08 2017-10-20 中国移动通信集团河南有限公司 A kind of determination of aiming spot and data checking, device
CN108009230A (en) * 2017-11-29 2018-05-08 中煤航测遥感集团有限公司 Data processing method and device
CN109376158A (en) * 2018-11-23 2019-02-22 吴江市建设工程质量检测中心有限公司 Cadastration data processing method
CN110046217A (en) * 2019-04-24 2019-07-23 山东省鲁南地质工程勘察院(山东省地勘局第二地质大队) A kind of multi-source geologic data spatial retrieval method, system, equipment and storage medium

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105427246A (en) * 2015-11-25 2016-03-23 华迪计算机集团有限公司 Map-sheet joining method
CN105427246B (en) * 2015-11-25 2018-10-09 华迪计算机集团有限公司 A kind of sheet join method
CN107273380A (en) * 2016-04-08 2017-10-20 中国移动通信集团河南有限公司 A kind of determination of aiming spot and data checking, device
CN107273380B (en) * 2016-04-08 2020-04-21 中国移动通信集团河南有限公司 Method and device for determining position of target point and checking data
CN107122779A (en) * 2017-03-27 2017-09-01 西北大学 A kind of space basis geographical data acquisition system
CN107145579A (en) * 2017-05-05 2017-09-08 国家测绘地理信息局四川测绘产品质量监督检验站 Geography information line feature dummy node inspection method and device
CN107145579B (en) * 2017-05-05 2020-04-07 自然资源部四川测绘产品质量监督检验站(四川省测绘产品质量监督检验站) Method and device for checking geographic information line element pseudo node
CN108009230A (en) * 2017-11-29 2018-05-08 中煤航测遥感集团有限公司 Data processing method and device
CN109376158A (en) * 2018-11-23 2019-02-22 吴江市建设工程质量检测中心有限公司 Cadastration data processing method
CN109376158B (en) * 2018-11-23 2020-09-01 吴江市建设工程质量检测中心有限公司 Cadastral survey data processing method
CN110046217A (en) * 2019-04-24 2019-07-23 山东省鲁南地质工程勘察院(山东省地勘局第二地质大队) A kind of multi-source geologic data spatial retrieval method, system, equipment and storage medium

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Application publication date: 20100602