CN103077215B - Event driven three dimensional urban model data storehouse dynamic updating method - Google Patents
Event driven three dimensional urban model data storehouse dynamic updating method Download PDFInfo
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Abstract
The present invention relates to a kind of event driven three dimensional urban model data storehouse dynamic updating method, include following steps, A1 definition causes the event type of three dimensional urban model data dynamic change, sets up event description template; Three dimensional urban model data to be updated is carried out data normalization operation by A2; A3 carries out automatic change detection and the Adaptive matching of third dimension element object, collects the change information of third dimension element object; A4 interactive mode adds the relation between event and event causing third dimension element object variation; A5 carries out database update according to the third dimension element object of event time order to change; A6 recalculates and upgrades the semantic topological relation data between three dimensions object; A7 re-creates and upgrades three dimensions index data; A8 completes the renewal in three dimensional urban model data storehouse.Three dimensional urban model data storehouse of the present invention dynamic updating method can improve the efficiency of database update, effectively supports spatial-temporal query and the analytical applications of multi-time Scales data.
Description
Technical field
The present invention relates to geospatial information system technical field, particularly relate to a kind of event driven three dimensional urban model data storehouse dynamic updating method.
Background technology
The continuous propelling of building along with three-dimensional digital city and widespread use, its focus of work has started to be changed to database update and service by the production of initial three dimensional urban model data and database establishment.Dynamically updating of three dimensional urban model data storehouse is different from the production of initialized data and Database, it is the Up-to-date state data fully utilizing various source, determine to change with the change in location of determination data, Geometrical change, attribute change and semantic topological relation, data in existing database are carried out to the update process such as additions and deletions, replacement, amendment, semantic reconstruction of Topological Relation, generate the data of redaction, save historical data, and record change information.The renewal in three dimensional urban model data storehouse not only will ensure the Up-to-date state of three dimensional urban model data, more to carry out effective Organization And Management to the three dimensional urban model data of the multi-time Scales such as history, present situation, plan model, to meet various spatial-temporal query and the analytical applications such as multi-time Scales pattern query, urban architecture transition backtracking.The achievement in research of existing space dynamic data base updating and application practice are mostly upgrade for Fundamental Geographic Information Database, mainly comprise the two-dimensional space such as remote sensing image, two-dimension vector map data, the Renewal model for magnanimity three dimensional urban model data is also less with application.At present, most existing three dimensional urban model data storehouse only manages for the three dimensional urban model data of present situation, does not manage the model data of the different tense such as historical models data, plan model data of D Urban model.Adopt the modes such as the replacement of simple data, deletion when therefore upgrading in three dimensional urban model data storehouse, then define the database of redaction, historical models data are not effectively managed, also not to causing the event of Data Update effectively to manage.So just be difficult to effectively to meet various spatial-temporal query and space-time analysis is applied, the real change in real city beyond expression of words.
Along with continuous construction and the application of three dimensional urban model data, the continuous increase of data volume, data Up-to-date state demand is day by day urgent, in the urgent need to a set of perfect three dimensional urban model data storehouse increment updating method, not only ensure the Up-to-date state of Three-dimensional Numeric Map, and effectively manage the three dimensional urban model data of multi-time Scales.
Summary of the invention
The present invention, for solving the problems of the technologies described above, proposes the event driven three dimensional urban model data storehouse dynamic updating method that a kind of database update efficiency is higher, includes following steps,
A1 definition causes the event type of three dimensional urban model data dynamic change, sets up event description template;
Three dimensional urban model data to be updated is carried out data normalization operation by A2;
A3 carries out automatic change detection and the Adaptive matching of third dimension element object, collects the change information of third dimension element object;
A4 adds event table according to event description template interactive mode, carries out record, and add the relation between event relation table record event to the third dimension element object involved by each event;
A5 carries out database update according to the third dimension element object of event time order to change, and new data adds presence database to, and legacy data is moved into historical data base;
A6 recalculates and upgrades the semantic topological relation data between three dimensions object;
A7 re-creates and upgrades three dimensions index data;
The inspection of A8 human assistance confirms, defines new database version, completes the renewal in three dimensional urban model data storehouse.
Preferably, the change information of third dimension element object comprises one or more in spatiality, attribute, semantic topology.
Preferably, described incident management table identifies the life cycle of third dimension element object and the type of change of each change, and adds the relation between event.
Preferably, the automatic change detection of described third dimension element object and Adaptive matching comprise the following steps:
B1 inputs three dimensional urban model data to be updated, using the minimum outer bounding box of three dimensional urban model data to be updated and third dimension element class as querying condition, in the presence database in three dimensional urban model data storehouse, inquire about the third dimension element object of described miniperipheral box and described third dimension element class;
B2 is each third dimension element object in each third dimension element object and presence database in comparison three dimensional urban model data to be updated successively, mate with bottom shape, if find bottom shape to mate completely two third dimension element objects, then enter step B3, otherwise enter step B9;
The three-dimensional geometry data of B3 to the third dimension element object that two bottom shapes mate completely are mated, if mated completely, enter step B4, otherwise enter step B6;
Whether the material data texturing of the third dimension element object of B4 comparison two coupling is identical, if identical, then enters step B5, otherwise enters step B7;
Whether the semantic attribute data of the third dimension element object of B5 comparison two coupling are identical, if identical, then record two third dimension element objects and do not change, do not need to upgrade; Otherwise enter step B8;
B6 records this third dimension element object to be updated and there occurs three-dimensional geometry data variation, and the texture and material data of its correspondence are also corresponding to change;
B7 records this third dimension element object material data texturing to be updated and there occurs change, but three-dimensional geometry data do not change;
B8 records this third dimension element Object Semanteme attribute data to be updated and there occurs change;
Whether B9 comparison exists two third dimension element objects of semi-match, if there are two of semi-match third dimension element objects to enter step B10, otherwise enters B12;
Whether the third dimension element title of B10 two semi-match third dimension element objects is identical, if identical, enters step B11, otherwise enters B12;
B11 carries out the coupling of three-dimensional geometrical structure to two semi-match third dimension element objects, if mated completely, then new third dimension element object there occurs position and moves change, otherwise third dimension element object there occurs geometry change and change is moved in position;
This third dimension element object of B12 does not find the third dimension element object matched, and records this third dimension element object for newly-increased third dimension element object;
B13 records the situation of change of each third dimension element object;
B14 changes detection automatically to be completed with Adaptive matching, carries out result output.
Preferably, described steps A 4 comprises the following steps:
C1 inputs third dimension element object and automatically changes the result detecting and export with Adaptive matching;
The various events causing data variation that C2 has been known based on event description template completion, and fill in key content;
C3 sets up the incidence relation between event and its third dimension element object causing change;
C4, to the event that there is relation, sets up the relation between event;
The change of each third dimension element object that C5 processes each event successively and relates to;
All events and delta data thereof are filed by C6, complete the renewal of event database.
Preferably, described key content comprises event type, Time To Event, one or more in the event terminations time.
One aspect of the present invention is detected by the automatic change of three dimensional urban model data and mates the third dimension element object finding fast and change, and improves dynamic data base updating efficiency; On the other hand by effective management that relation between the event of Data Update reason and event occurs, by event, three dimensional urban model data dynamic change is effectively together in series, effectively supports spatial-temporal query and the analytical applications of multi-time Scales data.
Accompanying drawing explanation
Fig. 1 is the three dimensional urban model data storehouse dynamic updating method process flow diagram of one embodiment of the invention;
Fig. 2 is automatic change detection and the Adaptive matching process flow diagram of the third dimension element object of one embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail.
As shown in Figure 1, be the event driven three dimensional urban model data storehouse dynamic updating method of one embodiment of the invention three dimensional urban model data storehouse dynamic updating method process flow diagram, the present embodiment, include following steps:
A1 definition causes the event type of three dimensional urban model data dynamic change, sets up event description template.
Particularly, three dimensional urban model data storehouse changes and comprises the change of third dimension element object space state, semantic state change and the change of semantic topological relation state.Third dimension element object space state change type can abstract definition be: occur, disappear, expand, reduce, be out of shape, move, rotate and the fundamental type such as reproduction; The change of third dimension element Object Semanteme state can abstractly be orientated as: the types such as property value amendment, attribute field additions and deletions, semantic content change; The abstract change in topology type orientating described third dimension element Object Semanteme as of third dimension element Object Semanteme topological relation state change.
Event is the reason causing three dimensional urban model data storehouse to change, mainly be divided three classes by causing the difference of change: one is the event of drawing the change of third dimension element object space state, as artificial structure's (house, road, enclosure wall, dykes and dams etc.) newly-built, build, remove, enlarging event; Two is the events causing third dimension element Object Semanteme state to change, as events such as ownership change, property right change, land use change of properties, building resident population changes; Three is the events causing third dimension element object space state and semantic state all to change.
Relation between event and third dimension element object space state change type also exists 1:N(N >=1) relation.As newly-built, rebuild, expand, relation that the pass between event and spatiality change type such as dismounting is 1:1; And the pass between event and spatiality change type such as earthquake, flood, heavy rain is the relation of 1:N.
Three dimensional urban model data storehouse conceptual model based on event comprises the three-dimensional expression of building, road City Terrain landforms, above and below ground artificial structure, pipeline, geologic body etc.Third dimension element is the locus of reflection object, geometric shape and spatial relationship not only, also comprises the satellite information such as texture, material and each attribute and semantic information etc.Three dimensional urban model data is divided into relief block, BUILDINGS MODELS, means of transportation model, pipeline model, greening model and other models etc.Each class model can be divided into LOD1, LOD2, LOD3 and LOD4 tetra-details levels according to the difference of performance level of detail (LOD).
Three dimensional urban model data storehouse adopts the third dimension element class with behavior and feature to be that core expresses the dissimilar third dimension element object such as building, road, management, geology.By the unified management of the data such as the geometry to third dimension element object, semanteme, topology and attribute, establish semantic level detailed between third dimension element class and describe, and between third dimension element object, complicated semantic topological relation describes.
In order to express the three dimensional urban model data of multi-time Scales, three dimensional urban model data storehouse is divided into the database of presence database, historical data base and planning database three kinds of different tenses.Carry out single expression with third dimension element object, the same class third dimension element object with identical semantic attribute is managed by a third dimension element class.Each third dimension element class is divided into present situation third dimension element class, history third dimension element class and planning third dimension element class.
Event class is the set of all kinds of event, comprises newly-built event, dismounting event, enlarging event, ownership change events, Disaster Event etc., can self-definedly expand; Event relation class for expressing the relation between each event, as cause-effect relationship, serial relation etc.; Event description template, for defining unified event description method, comprises event id, event title, event type, event time time of origin, event terminations time etc.
Three dimensional urban model data to be updated is carried out data normalization operation by A2.
Particularly, first carry out the unification of three-dimensional coordinate system system, make them have unified georeferencing; Then carry out the unification of three dimensional urban model data form, be convenient to three dimensional urban model data storehouse and unify storage and management; Then the attribute of three dimensional urban model data and semantic information are unified, mate completely with the attribute field in three dimensional urban model data storehouse, finally semanteme editor is carried out to third dimension element object, carry out the classification of third dimension element class, of a sort third dimension element object data is placed in same third dimension element class and carries out unified management.
A3 carries out automatic change detection and the Adaptive matching of third dimension element object, collects the change information of third dimension element object, comprises spatiality, attribute, semantic topology etc.
Fig. 2 is automatic change detection and the Adaptive matching process flow diagram of the third dimension element object of one embodiment of the invention, and the automatic change detection of the third dimension element object in the present embodiment and Adaptive matching comprise the following steps:
B1 inputs three dimensional urban model data to be updated, using the minimum outer bounding box of three dimensional urban model data to be updated and third dimension element class as querying condition, in the presence database in three dimensional urban model data storehouse, inquire about the third dimension element object of described miniperipheral box and described third dimension element class;
B2 is each third dimension element object in each third dimension element object and presence database in comparison three dimensional urban model data to be updated successively, mate with bottom shape, if find bottom shape to mate completely two third dimension element objects, then enter step B3, otherwise enter step B9;
The three-dimensional geometry data of B3 to the third dimension element object that two bottom shapes mate completely are mated, if mated completely, enter step B4, otherwise enter step B6;
Whether the material data texturing of the third dimension element object of B4 comparison two coupling is identical, if identical, then enters step B5, otherwise enters step B7;
Whether the semantic attribute data of the third dimension element object of B5 comparison two coupling are identical, if identical, then record two third dimension element objects and do not change, do not need to upgrade; Otherwise enter step B8;
B6 records this third dimension element object to be updated and there occurs three-dimensional geometry data variation, and the texture and material data of its correspondence are also corresponding to change;
B7 records this third dimension element object material data texturing to be updated and there occurs change, but three-dimensional geometry data do not change;
B8 records this third dimension element Object Semanteme attribute data to be updated and there occurs change;
Whether B9 comparison exists two third dimension element objects of semi-match, if there are two of semi-match third dimension element objects to enter step B10, otherwise enters B12;
Whether the third dimension element title of B10 two semi-match third dimension element objects is identical, if identical, enters step B11, otherwise enters B12;
B11 carries out the coupling of three-dimensional geometrical structure to two semi-match third dimension element objects, if mated completely, then new third dimension element object there occurs position and moves change, otherwise third dimension element object there occurs geometry change and change is moved in position;
This third dimension element object of B12 does not find the third dimension element object matched, and records this third dimension element object for newly-increased third dimension element object;
B13 records the situation of change of each third dimension element object;
B14 changes detection automatically to be completed with Adaptive matching, carries out result output.
A4 adds event table according to event description template interactive mode, record is carried out to the third dimension element object involved by each event, and add event relation table, described event relation table identifies the life cycle of third dimension element object and the type of change of each change, and the relation between recording events.
This step specifically comprises the steps:
C1 inputs third dimension element object and automatically changes the result detecting and export with Adaptive matching;
The various events causing data variation that C2 has been known based on event description template completion, and fill in key content;
C3 sets up the incidence relation between event and its third dimension element object causing change;
C4, to the event that there is relation, sets up the relation between event;
The change of each third dimension element object that C5 processes each event successively and relates to;
All events and delta data thereof are filed by C6, complete the renewal of event database.
A5 carries out database update according to the third dimension element object of event time order to change, and new data adds presence database to, and legacy data is moved into historical data base.
Particularly, sort according to the front and back that event occurs, successively each event changed is upgraded the third dimension element object that spatiality change occurs.
For the third dimension element object newly increased, directly in presence database, increase record, add the data-base recording insertion time etc.
For the third dimension element object that there occurs geometry and material texture variations, former three dimensions object in presence database is moved into historical data base, new third dimension element object is added in presence database, and adds the information such as current state and event, record the variation relation of new legacy data.Because third dimension element object has the characteristic of detail, therefore the three-dimensional geometry data of detail and three-dimensional material data texturing be must regenerate for new third dimension element object, and detail three-dimensional geometry data corresponding to new third dimension element object and three-dimensional material data texturing automatically upgraded.
For the third dimension element object deleted, this third dimension element object is moved in historical data base, and deletion record in presence database, add record at third dimension element object variation table, state is for deleting.
For the three dimensions object that semantic attribute change occurs, new semantic attribute data are revised as in presence database, more new database record update time, primitive justice attribute data moves to historical data base and manages, and identifying variable condition and the event information causing change, above-described all event informations and variable condition record are all managed by data variation admin table.
A6 recalculates and upgrades the semantic topological relation data between three dimensions object, moves on in historical data base by the semantic topological relation data changed, and adds up-to-date semantic topological relation data in presence database.
Particularly, semantic topological relation data are recalculated to the latest data of present situation third dimension element database, compare with the data in the semantic topological relation tables of data of present situation, record the semantic relation data do not changed and the semantic topological relation data changed respectively, in the semantic topological relation tables of data of present situation, the semantic topological relation data changed or deleted third dimension element object is relevant are moved in historical data base, and deletion mark is set, new semantic topological relation data are added in the semantic topological relation tables of data of present situation in presence database.
A7 re-creates and upgrades three dimensions index data, recalculates three dimensions index to the third dimension element object data of presence database, upgrades three dimensions index data.
Concrete, three dimensions index is re-created to the third dimension element object data table of third dimension element class each in presence database, original three dimensions index data is moved in historical data base, the three dimensions index data newly created is added in the three dimensions index data table in presence database.
The inspection of A8 human assistance confirms, defines new database version, completes the renewal in three dimensional urban model data storehouse.
Concrete, by checking the particular content of presence database and historical data base in three dimensional urban model data storehouse, and express by the three dimensional urban model data of presence database being carried out three-dimensional visualization the correctness checking and confirm database update.Check after confirming, define new database version, be kept in database version admin table, confirmed the renewal in three dimensional urban model data storehouse.
At above-described embodiment, described key content comprises all the elements relevant with event such as event type, Time To Event, event terminations time.
The present invention is detected by the automatic change of three dimensional urban model data and mates the third dimension element object finding fast and change, and improves the renewal efficiency in three dimensional urban model data storehouse; By effectively managing the event that Data Update reason occurs, by event, three dimensional urban model data dynamic change being effectively together in series, effectively supporting spatial-temporal query and the analytical applications of multi-time Scales data.
Be understandable that, for the person of ordinary skill of the art, other various corresponding change and distortion can be made by technical conceive according to the present invention, and all these change the protection domain that all should belong to the claims in the present invention with distortion.
Claims (5)
1. an event driven three dimensional urban model data storehouse dynamic updating method, is characterized in that: comprise the following steps,
A1 definition causes the event type of three dimensional urban model data dynamic change, sets up event description template;
Three dimensional urban model data to be updated is carried out data normalization operation by A2;
A3 carries out automatic change detection and the Adaptive matching of third dimension element object, collects the change information of third dimension element object;
A4 adds event table according to event description template interactive mode, carries out record, and add the relation between event relation table record event to the third dimension element object involved by each event;
A5 carries out database update according to the third dimension element object of event time order to change, and new data adds presence database to, and legacy data is moved into historical data base;
A6 recalculates and upgrades the semantic topological relation data between three dimensions object;
A7 re-creates and upgrades three dimensions index data;
The inspection of A8 human assistance confirms, defines new database version, completes the renewal in three dimensional urban model data storehouse;
The automatic change detection of described third dimension element object and Adaptive matching comprise the following steps:
B1 inputs three dimensional urban model data to be updated, using the minimum outer bounding box of three dimensional urban model data to be updated and affiliated third dimension element class as querying condition, in the presence database in three dimensional urban model data storehouse, inquire about the present situation third dimension element object set of described minimum outer bounding box and described third dimension element class;
B2 is each third dimension element object in each third dimension element object and present situation third dimension element object set in comparison three dimensional urban model data to be updated successively, mated by bottom shape, if find bottom shape to mate completely two third dimension element objects, then enter step B3, otherwise enter step B9;
The three-dimensional geometry data of B3 to the third dimension element object that two bottom shapes mate completely are mated, if mated completely, enter step B4, otherwise enter step B6;
Whether the material data texturing of the third dimension element object of B4 comparison two coupling is identical, if identical, then enters step B5, otherwise enters step B7;
Whether the semantic attribute data of the third dimension element object of B5 comparison two coupling are identical, if identical, then record two third dimension element objects and do not change, do not need to upgrade; Otherwise enter step B8;
B6 records third dimension element object to be updated and there occurs three-dimensional geometry data variation, and the texture and material data of its correspondence are also corresponding to change;
B7 records third dimension element object material data texturing to be updated and there occurs change, but three-dimensional geometry data do not change;
B8 records third dimension element Object Semanteme attribute data to be updated and there occurs change;
Whether B9 comparison exists two third dimension element objects of semi-match, if there are two of semi-match third dimension element objects to enter step B10, otherwise enters B12;
Whether the third dimension element title of B10 two semi-match third dimension element objects is identical, if identical, enters step B11, otherwise enters B12;
B11 carries out the coupling of three-dimensional geometrical structure to two semi-match third dimension element objects, if mated completely, then new third dimension element object there occurs position and moves change, otherwise third dimension element object there occurs geometry change and change is moved in position;
This third dimension element object of B12 does not find the third dimension element object matched, and records this third dimension element object for newly-increased third dimension element object;
B13 records the situation of change of each third dimension element object;
B14 changes detection automatically to be completed with Adaptive matching, carries out result output.
2. event driven three dimensional urban model data storehouse according to claim 1 dynamic updating method, is characterized in that: the change information of third dimension element object comprise in spatiality, attribute, semantic topology one or more.
3. event driven three dimensional urban model data storehouse according to claim 1 dynamic updating method, it is characterized in that: described event table identifies the life cycle of third dimension element object and the type of change of each change, the relation between described event relation table record event.
4. event driven three dimensional urban model data storehouse according to claim 1 dynamic updating method, is characterized in that: described steps A 4 comprises the following steps:
C1 inputs third dimension element object and automatically changes the result detecting and export with Adaptive matching;
The various events causing data variation that C2 has been known based on event description template completion, and fill in key content;
C3 sets up the incidence relation between event and its third dimension element object causing change;
C4, to the event that there is relation, sets up the relation between event;
The change of each third dimension element object that C5 processes each event successively and relates to;
All events and delta data thereof are filed by C6, complete the renewal of event database.
5. event driven three dimensional urban model data storehouse according to claim 4 dynamic updating method, is characterized in that: described key content comprises event type, Time To Event, one or more in the event terminations time.
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| CN105893565B (en) * | 2016-03-31 | 2019-03-15 | 百度在线网络技术（北京）有限公司 | The foundation in three-dimensional map data library, the transmission method of three-dimensional map data and device |
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| CN111858805A (en) * | 2020-07-08 | 2020-10-30 | 中国第一汽车股份有限公司 | High-precision map updating method, vehicle, server and storage medium |
| CN113360987B (en) * | 2021-06-16 | 2023-09-12 | 北京建筑大学 | Indoor navigation-oriented spatial topological relation data organization model and construction method |
| CN113486028A (en) * | 2021-06-16 | 2021-10-08 | 中国工程物理研究院计算机应用研究所 | Computable modeling method based on multi-source data fusion |
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