CN104899239A - Road surface spectrum and GIS vector data fusion method and system based on semantic technology - Google Patents
Road surface spectrum and GIS vector data fusion method and system based on semantic technology Download PDFInfo
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Abstract
The present invention relates to a road surface spectrum and GIS vector data fusion method and system based on a semantic technology. According to the method, firstly, a great quantity of ordered interpolating points are calculated by a Cardinal cubic spline curve interpolation algorithm; then points, of which the number is the same with sampling times of a road surface spectrum, are selected at an equal interval from an interpolated point sequence; altitude data of the road surface spectrum is processed by adopting a triangulation network generating algorithm to construct an irregular triangulation network and then GIS two-dimensional vector data is fused into the constructed triangulation network by an embedding algorithm; and next, semantic ontologies are established, according to extracted semantic rules and data fused on the bottom layer, by protege, inference rules are made by the logical relationship between the ontologies and data according with semantics is retrieved from metadata to be output on a query interface. The system consists of a data fusion module on the bottom layer, a fusion module based on the semantic technology, and a query interface module. According to the present invention, a user can know the real condition of a pavement and high-quality data services are provided for realizing intelligent transportation.
Description
Technical field
The invention belongs to the data fusion considering true atural object, especially relate to the data fusion that semantic technology and reasoning combine, specifically relate to a kind of based on the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data and system.
Background technology
Along with the fast development of China's economy, the small and medium-sized car demand of China rises year by year.According to China Association for Automobile Manufacturers's data, within 2012, auto output is all more than 1,900 ten thousand, creates global the new highest record in history, again continues to hold a post or title the first in the world.The Transportation facilities closely bound up with automobile industry drops into and also increases year by year, the sustainable growth of highway total amount.And the quality investigation of highway is the key link that whole road is checked and accepted, wherein for describing one of general data that the spectrum of road surface roughness data of surface evenness are evaluation pavement qualities, it has elevation information, comparatively has superiority in qualitative analysis.It may be used for extracting various road surfaces parameter, as road surface international roughness index, power spectrum density etc.And along with the development of information science and Internet technology, Geographic Information System (GIS) is more come to apply widely in all trades and professions.But in different industries field, larger difference is there is in spatial data in angle of cognition, industry requirement, acquisition means, modeling method etc., result in the Spatial Data Model between different system, data base management method, module accesses operation and data file memory module and all there is notable difference, the information island formed thus, day by day become and share the obstacle with integrated fusion realizing multi-source heterogeneous spatial data, cause the huge waste of data resource.Along with the development that data sharing is integrated, just create problem of data fusion.Two-dimensional vector data collection is the core data of Geographic Information System (GIS), two-dimensional vector data is generally used for representing as graph datas such as city, river, national boundaries, highway, railway, region, landform, these data are very suitable for spatial analysis operation, but do not possess elevation information.
By spectrum of road surface roughness data and the capable integrated fusion of GIS two-dimensional vector data, make two-dimensional vector data in dimension, obtain expansion and can increase elevation information again, effectively reduce data secondary procurement cost, improve the utilization ratio of data, improve quality and the precision of number, can better expression of space entity information, present the truth on road surface, for realizing intelligent traffic administration system and the application of other every field provides better Data support.And along with the development of GPS navigation, GPS navigation more and more hommization, the fusion of spectrum of road surface roughness data and GIS two-dimensional vector data may be used in GPS navigation in the future, and it can show intuitively for the traffic safety information of road surface.As the information such as pavement roughness, rut, hole groove that driver can issue according to GPS, optimum choice traffic route, thus the safety hazard greatly reducing driving people, and the crowded traffic brought of road, the problem such as environmental protection and traffic safety.
Summary of the invention
The object of the invention is to provide high-precision data to realizing intelligent traffic administration system, for traveler and driver provide the real conditions information of road, propose a kind of based on the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data and system, adopt semantic technology to realize reasoning to obtain higher-quality data.
For achieving the above object, the present invention solves the technical scheme that its technical matters takes and is:
Based on the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data, comprise following step:
Step 1: first with existing GIS two-dimensional vector data point for reference mark, calculate orderly interpolation point by Cardinal spline interpolation algorithm;
Step 2: select the point with spectrum of road surface roughness sampling number same number in orderly interpolation point described in step 1, and these selected points are equally spaced;
Step 3: bottom merges: first adopt Algorithm of Delaunay Triangulation Generation to build the irregular triangulation network altitude figures of spectrum of road surface roughness, then utilize its core of embedded mobile GIS to be exactly adopt interpolation algorithm to calculate the height value of spectrum of road surface roughness, then all GIS two-dimensional vector data points are by specific triangle in the TIN that navigates to spectrum of road surface roughness and interpolation is integrated in TIN network;
Step 4: the data that step 3 bottom has merged are converted to the expression data with the semantic data of RDF form expression and triple form;
Step 5: adopt Fusion Module based on semantic technology by the semantic rules in the expression data of the triple form of extraction and the restriction determining the class of the semantic data that RDF form is expressed, attribute, attribute; Ontology is set up by prot é g é according to the data that the semantic rules in the expression data of the triple form extracted and step 3 bottom have merged;
Step 6: adopt programming in logic to formulate inference rule and query language, finally by the rationality of SPARQL query language checking ontology construct;
Step 7: the inference rule according to search condition and step 6, utilizes Jena kit to carry out semantic reasoning, obtains result for retrieval;
Step 8: connection data storehouse drives, creation database connects example, adopts JSP and servlet technical design query interface module polls fusion results.
Bottom described in above-mentioned steps 3 merges employing embedding grammar: first in the TIN of spectrum of road surface roughness, determining initial position, then determining range of influence by walking algorithm, then radial topology scanning, finally carries out local triangle and optimization to the triangulation network.
Based on the emerging system of the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data, data fusion module by bottom, the Fusion Module based on semantic technology, query interface module form, and wherein the data fusion module of bottom is used for spectrum of road surface roughness data and GIS two-dimensional vector data to merge to obtain fused data; Fusion Module based on semantic technology sets up Ontology according to the semantic rules extracted and described fused data, and resolves reasoning thus retrieve desired data; The desired data that query interface module is used for data query fusion results and retrieves.
Fusion Module based on semantic technology comprises Ontology and sets up module and resolve reasoning module.
Data fusion of the present invention adopts semantic technology to set up Ontology according to the semantic rules extracted, then carry out semanteme correction by reasoning parsing to metadata, thus obtain high-quality fused data.Its principle is simple, effectively simple to operate, has very large use value and social effect.
Compared with prior art tool of the present invention has the following advantages:
1, data fusion of the present invention adopts semanteme to combine with inference technology, and these technology become Third Generation of Interconnected Network core technology at present, and in data integration fusion, application is very extensive.
2, adopt semantic technology can realize the fusion of multi-source heterogeneous data, the semantic fusion technique study of road pavement modal data and GIS two-dimensional vector data, multi-source heterogeneous spatial data can be solved and share the obstacle with integrated fusion.
3, data fusion of the present invention adopts semantic technology to be introduced by semantic rules, take into full account geometric properties and the semantic feature of true atural object, its semantic rules is utilized to carry out the integrated fusion of bound data, thus ensure data fusion consistance and semantic accuracy, effectively can solve semantic error problem after data fusion, improve the quality of data fusion, better ensure geographic information analysis and application, present the truth of road, for actual production and life bring positive effect.
4, the visual display of query interface of the present invention makes user's inquiry easily whenever and wherever possible and extracts data, provides high-quality Data support for realizing intelligent traffic administration system.
Accompanying drawing explanation
Fig. 1 is present system composition sketch;
Fig. 2 is the process flow diagram that data bottom of the present invention merges;
Fig. 3 be Ontology of the present invention set up frame diagram;
Fig. 4 is the frame diagram of the design of query interface.
Embodiment
As shown in Figure 1, based on the spectrum of road surface roughness of semantic technology and the whole frame diagram of GIS vector data fusion method and system, based on the emerging system of the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data, data fusion module by bottom, the Fusion Module based on semantic technology, query interface module form, wherein, comprise Ontology based on semantic technological incorporation module to set up module, resolve the parts such as reasoning module.Formulate inference rule according to the Ontology set up, thus retrieve from metadata and meet semantic data and export in user interface.
The data fusion module of bottom, spectrum of road surface roughness data and GIS two-dimensional vector data can be merged, the spectrum of road surface roughness data after fusion morphologically do not change, and can make two-dimensional vector data in dimension, obtain expansion can increase elevation information again simultaneously.
The data merged according to the semantic rules extracted and bottom based on the Fusion Module of semantic technology set up Ontology, formulate inference rule, thus retrieve higher-quality data.
As shown in Figure 2, data bottom Fusion Module of the present invention, with existing GIS two-dimensional vector data point for reference mark, calculates a large amount of interpolation point in order by Cardinal spline interpolation algorithm, thus obtains smooth path locus.Because the sample frequency of spectrum of road surface roughness data is far above the sample frequency of GIS two-dimensional vector data, therefore in one section of mileage the sampling number of spectrum of road surface roughness data much larger than the sampling number of GIS two-dimensional vector data, so the fusion in order to complete spectrum of road surface roughness data and GIS two-dimensional vector data, need with original GIS two-dimensional vector data point for carrying out interpolation in reference mark, select the point with spectrum of road surface roughness sampling number same number in point sequence after interpolation, and these selected some requirements are equally spaced; Next adopt Algorithm of Delaunay Triangulation Generation to build the irregular triangulation network altitude figures of spectrum of road surface roughness, then select embedded mobile GIS to be sewn onto in spectrum of road surface roughness data by two-dimensional vector data.First in the TIN of spectrum of road surface roughness, determining initial position, then determining range of influence by walking algorithm, then radial topology scanning, finally local triangle and optimization are carried out to the triangulation network.
As shown in Figure 3, the frame diagram of Ontology foundation of the present invention.The foundation of this body adopts the method establishment of seven footworks, and (1) determines that the professional domain of Ontology and category (2) consider that the possibility (3) of the multiplexing existing Ontology important terms (4) listed in Ontology defines restriction (7) the establishment example of attribute (6) defined attribute of hierarchical system (Hierarchy) (5) definition class of class (Class) and class.Finally use prolog to write inference rule, then use SPARQL query language to verify ontology construct whether rationality.
As shown in Figure 4, query interface frame diagram of the present invention.The database of the current support of Jena has PostgreSQL, MySQL and Oracle, and that the present invention adopts is MySQL.First first step connection data storehouse drives, and creates DB Connection example.When after ontology file persistent storage to database, reasoning inquiry can be carried out to it.Mainly according to search condition and self-defining inference rule, use Jena kit and carry out semantic reasoning, obtain result for retrieval, then export client display interface.
As shown in table 1, the semantic rules table that the present invention extracts.Due to the combination that geospatial entity is not only simple point, line, surface, but there is the geographical entity of certain geographical semantics feature.The semanteme of geographical entity, is not only subject to the impact of geometric properties, is also subject to the impact of the non-spatial attributes such as the type belonging to entity, language environment, individual cognition difference, and semantic information is the very important aspect of GIS.Plane geometry key element (point, line, surface etc.) is applicable to mathematics and resolves and analyze, and atural object can be made to meet various semantic rules by becoming the amendment of these geometric element features.
The semantic rules in table 1 highway and street
The inventive method step is as follows
Step 1: first with existing GIS two-dimensional vector data point for reference mark, calculate orderly interpolation point by Cardinal spline interpolation algorithm;
Step 2: select the point with spectrum of road surface roughness sampling number same number in orderly interpolation point described in step 1, and these selected points are equally spaced;
Step 3: bottom merges: first adopt Algorithm of Delaunay Triangulation Generation to build the irregular triangulation network altitude figures of spectrum of road surface roughness, then utilize its core of embedded mobile GIS to be exactly adopt interpolation algorithm to calculate the height value of spectrum of road surface roughness, then all GIS two-dimensional vector data points are by specific triangle in the TIN that navigates to spectrum of road surface roughness and interpolation is integrated in TIN network;
Step 4: the data that step 3 bottom has merged are converted to the expression data with the semantic data of RDF form expression and triple form;
Step 5: adopt Fusion Module based on semantic technology by the semantic rules in the expression data of the triple form of extraction and the restriction determining the class of the semantic data that RDF form is expressed, attribute, attribute; Ontology is set up by prot é g é according to the data that the semantic rules in the expression data of the triple form extracted and step 3 bottom have merged;
Step 6: adopt programming in logic to formulate inference rule and query language, finally by the rationality of SPARQL query language checking ontology construct;
Step 7: the inference rule according to search condition and step 6, utilizes Jena kit to carry out semantic reasoning, obtains result for retrieval;
Step 8: connection data storehouse drives, creation database connects example, adopts JSP and servlet technical design query interface module polls fusion results.
Claims (4)
1., based on the spectrum of road surface roughness of semantic technology and a fusion method for GIS vector data, it is characterized in that described method comprises following step:
Step 1. first with existing GIS two-dimensional vector data point for reference mark, calculate orderly interpolation point by Cardinal spline interpolation algorithm;
Select the point with spectrum of road surface roughness sampling number same number in step 2. orderly interpolation point described in step 1, and these selected points are equally spaced;
Step 3. bottom merges: first adopt Algorithm of Delaunay Triangulation Generation to build the irregular triangulation network altitude figures of spectrum of road surface roughness, then utilize its core of embedded mobile GIS to be exactly adopt interpolation algorithm to calculate the height value of spectrum of road surface roughness, then all GIS two-dimensional vector data points are by specific triangle in the TIN that navigates to spectrum of road surface roughness and interpolation is integrated in TIN network;
The data that step 3 bottom has merged are converted to the expression data with the semantic data of RDF form expression and triple form by step 4.;
Step 5. adopts Fusion Module based on semantic technology by the semantic rules in the expression data of the triple form of extraction and the restriction determining the class of the semantic data that RDF form is expressed, attribute, attribute; Ontology is set up by prot é g é according to the data that the semantic rules in the expression data of the triple form extracted and step 3 bottom have merged;
Step 6. adopts programming in logic to formulate inference rule and query language, finally by the rationality of SPARQL query language checking ontology construct;
The inference rule of step 7. according to search condition and step 6, utilizes Jena kit to carry out semantic reasoning, obtains result for retrieval;
Step 8. connection data storehouse drives, and creation database connects example, adopts JSP and servlet technical design query interface module polls fusion results.
2. according to claim 1 based on the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data, it is characterized in that bottom described in step 3 merges the embedded mobile GIS adopted: first in the TIN of spectrum of road surface roughness, determine initial position, then range of influence is determined by walking algorithm, radial topology scanning again, finally carries out local triangle and optimization to the triangulation network.
3. one kind as claimed in claim 1 based on the emerging system of the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data, it is characterized in that by the data fusion module of bottom, form based on the Fusion Module of semantic technology, query interface module, wherein the data fusion module of bottom is used for spectrum of road surface roughness data and GIS two-dimensional vector data to merge to obtain fused data; Fusion Module based on semantic technology sets up Ontology according to the semantic rules extracted and described fused data, and resolves reasoning thus retrieve desired data; The desired data that query interface module is used for data query fusion results and retrieves.
4. the emerging system based on the spectrum of road surface roughness of semantic technology and the fusion method of GIS vector data according to claim 3, is characterized in that the described Fusion Module based on semantic technology comprises Ontology and sets up module and resolve reasoning module.
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Application publication date: 20150909 |