CN111402428B - Underground pipeline exploration method based on ARGIS - Google Patents
Underground pipeline exploration method based on ARGIS Download PDFInfo
- Publication number
- CN111402428B CN111402428B CN202010206526.0A CN202010206526A CN111402428B CN 111402428 B CN111402428 B CN 111402428B CN 202010206526 A CN202010206526 A CN 202010206526A CN 111402428 B CN111402428 B CN 111402428B
- Authority
- CN
- China
- Prior art keywords
- pipeline
- pipelines
- data
- parameters
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/006—Mixed reality
-
- 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
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Processing Or Creating Images (AREA)
- Image Processing (AREA)
Abstract
The invention belongs to the field of geographic information systems, and particularly relates to an underground pipeline exploration method based on an ARGIS (geographic information system), which comprises the following steps of: step 1: establishing a spatial database of the underground pipeline; step 2: acquiring the view range of a camera of a client, utilizing the coordinate parameters to search and query pipeline data, and returning data information to the client in a GeoJSON format; and step 3: combining model data returned by the spatial data Web service with a real image acquired by a camera to draw a virtual scene; and 4, step 4: and monitoring the angular velocity, the acceleration and the direction parameters of the client in real time to realize the tracking process of the virtual object. The invention can organically integrate the virtual information such as the graphics, the text annotations and the like into the real world scene seen by the user, thereby improving the experience of the user on the perception and the interaction of the real environment.
Description
The technical field is as follows:
the invention belongs to the field of geographic information systems, and particularly relates to an underground pipeline exploration method based on an ARGIS.
Background art:
along with the rapid promotion of urbanization, the number and scale of urban underground pipelines become larger and larger, the composition conditions become more and more complex, and in the construction process, because underground pipe networks are not distributed clearly, the file data management is not standard enough, so that a lot of difficulties are brought to the construction and the reconstruction of cities and towns, industrial and mining enterprises and the use and the maintenance of the pipelines, and serious accidents such as pipeline damage, casualties, water and power cut and the like are caused. The detection of underground pipelines has become an indispensable prerequisite for construction. The traditional GIS application is based on a two-dimensional map, and the query analysis result is displayed on the map in a two-dimensional symbol form, so that a user is required to actively participate in distinguishing the position of a marker in the real world. Due to poor intuitiveness, the method has certain difficulty in distinguishing users with weak geographic knowledge, and even has certain difficulty in distinguishing by field experts in a complex environment. In recent years, with the development of 3DGIS and VRGIS, a three-dimensional virtual model of a real environment is established to replace a two-dimensional map, so that great progress is made in the intuition of marker identification, and the visual development of the GIS is greatly promoted. However, the three-dimensional virtual model is expensive to create, has high hardware requirements, is different from a real world scene, and cannot realistically restore the real world.
The invention patent with application number 201310471595.4 discloses a GIS display method and system, which comprises the following steps: receiving a map display request through a WEB network; inquiring corresponding image map tiles and vector map tiles from a WEB server; and sequentially loading the image map tiles and the vector map tiles to a map display window through a WEB network, wherein the image map tiles and the vector map tiles are the image map tiles and the vector map tiles with uniform formats. The image map and the vector map are displayed in a combined mode, the dependence of GIS map display on a platform is weakened, the map is in a two-dimensional form, and the map is not visual enough and has certain difficulty in distinguishing under a complex environment. The invention patent with application number 200910115981.3 discloses an architecture method for a three-dimensional visualization system of an urban comprehensive pipe network, which comprises the steps of establishing a central database of the urban comprehensive pipe network; a three-dimensional texture database; a spatial data engine; reading and modeling a central database and a texture database through a spatial data engine so as to construct an overground and underground two-dimensional view and a three-dimensional visual scene; the method comprises the steps of establishing correspondence between two three-dimensional data layers and visual layers, wherein the correspondence between the data layers is correspondence between a two-dimensional view of a system and a geographic coordinate of a three-dimensional scene, the correspondence between the visual layers is correspondence between various spatial ground object models in the three-dimensional scene and a map symbol of the two-dimensional view, so that two-dimensional and three-dimensional linkage is realized, the function which is difficult to realize in the three-dimensional scene or macroscopic property is realized through the two-dimensional view, the function which cannot be realized in two dimensions or is not true enough is realized through the three-dimensional scene, the advantage complementation between the two functions is realized, and the high-efficiency management of the urban comprehensive pipe network can be realized. The method can realize the correspondence between the two-dimensional view and the three-dimensional scene, but the two-dimensional view and the three-dimensional scene are both virtual scenes, and a user is also required to participate in distinguishing the position of the marker in the real world, so that the identification is difficult when the environment is complex.
The invention content is as follows:
the invention aims to overcome the defects of the prior art, and aims to overcome the defects that a two-dimensional map used by GIS application in the prior art is not visual enough, needs secondary identification, has higher requirement on hardware by a three-dimensional virtual model, and is not real enough compared with a real environment.
In order to achieve the purpose, the underground pipeline exploration method based on the ARGIS comprises the following steps:
step 1: establishing a spatial database of the underground pipeline;
and 2, step: acquiring the visual field range of a camera of a client, performing visible space calculation, transmitting the coordinate parameters of the visual field range to a pipeline space data Web service in a url parameter mode of an http protocol, accessing a space database by the pipeline space data Web service, performing retrieval query on pipeline data by using the coordinate parameters, and returning data information to the client in a GeoJSON format;
and step 3: combining the model data returned by the spatial data Web service with the real image acquired by the camera to draw a virtual scene; the virtual scene picture is combined with rendered pipeline information data and transmitted to the client side together by a pipeline space data Web service, and the virtual scene picture is displayed on a client side interface;
and 4, step 4: and (3) monitoring the angular velocity, the acceleration and the direction parameters of the client in real time, calculating the position change of the virtual object reversely, combining the position change with the real image in real time, and repeating the step 3 to draw the virtual scene so as to realize the tracking process of the virtual object.
Further, in the step 1, importing the spatial database by using Shape vector pipeline data and using arcgis; the pipeline data is divided into two types of pipelines and pipeline points according to geometric characteristics; and the system is divided into 13 types of underdrains, power line carriers, power supply pipelines, monitoring signal pipelines, street lamp pipelines, hot water pipelines, drinking water pipelines, natural gas pipelines, communication pipelines, sewage pipelines, rainwater pipelines, comprehensive pipelines and reclaimed water pipelines according to functional attributes.
Further, the camera view in step 2 is a rectangle, and the view range coordinate parameter is the coordinates [ x-r, y-r, x + r, y + r ] of the lower left corner and the upper right corner of the rectangle, where x is the longitude of the location where the client is located, y is the latitude, and r is the distance value of the range of 10m in the world coordinate system.
Furthermore, in the step 3, the fusion of the underground pipeline model and the real ground image is realized by adopting a virtual sectioning mode, and the relation between the pipeline and the ground is expressed by adding a ground groove for the pipeline through sectioning the circular tunnel with the front view angle of 180 degrees; and adding a transparent layer in the area outside the opening range of the geosyncline, simulating the shielding relation, and observing the pipeline model only from the opening of the geosyncline after shielding.
Further, transparent layer shielding is realized by utilizing an OpenGL ES 2.0 mixing technology, a real image provides parameters of a source fragment, and a model image provides parameters of a target fragment; the source factors are [ Sr, sg, sb, sa ], the target factors are [ Dr, dg, db, da ], the source fragments are [ Rs, gs, bs, as ], the target fragments are [ Rd, gd, bd, ad ], R (R), G (G), B (B) and A (a) respectively correspond to the red, green, blue and transparency in 4 color channels. The color finally displayed after mixing is [ RsSr + RdDr, gsSg + GdDg, bssb + BdDb, asSa + AdDa ].
Further, in step 4, filtering anti-shaking processing is performed on the acceleration parameters by using a weighted recursive average filtering algorithm, and acceleration parameters corresponding to the three axes x, y and z are defined as A x 、A y And A z The new parameter after change is A' x 、A′ y And A' z Defining the distance d between the old and new parameters as the standard of the parameter jitter degree:
then, taking the distance d as an independent variable to obtain a factor weight coefficient α of the low-pass filter, where the value of α is obtained by segmentation according to the range of d, as shown in the following formula:
wherein low and high are boundary values obtained by averagely segmenting the maximum value of the parameter sampling statistical distance at the current moment; suppose that the maximum value of the distance between the sensor parameters sampled and obtained at the time t1 is d max Then, then
Finally, multiplying the factor weight coefficient by the parameter change value in a weighting mode, and superposing the factor weight coefficient and the parameter change value on the data before change, thereby obtaining the parameter value A after filtering processing x1 、A y1 And A z1 As follows:
A x1 ＝A x +α(d)(A′ x -A x )
A y1 ＝A y +α(d)(A′ y -A y )
A z1 ＝A z +α(d)(A′ z -A z )
compared with the prior art, the underground pipeline exploration method based on the ARGIS can organically fuse virtual information such as graphics and text annotations into the real world scene seen by a user, so as to enhance the scene of the human visual system, improve the experience of the user on the perception and interaction of the real environment, overcome the defects that the pipeline exploration method in the prior art is not visual enough or has higher hardware requirement, and can be popularized and used.
Description of the drawings:
fig. 1 is a drawing result diagram of a virtual scene according to the present invention.
The specific implementation mode is as follows:
the invention is further illustrated by the following examples.
Example (b):
the underground pipeline exploration method based on the ARGIS comprises the following steps:
step 1: and establishing a spatial database of the underground pipeline, and importing the spatial database by using Shape vector pipeline data and arcgis. And the spatial database adopts postgis to open a source database, and utilizes C # to autonomously develop a spatial data service interface which accords with the OGC standard.
Data format: the pipelines are classified according to attributes, different kinds of pipelines have a plurality of different and specific attributes, the attributes are classified into an aggregate according to different classes of the pipelines, and one attribute set is uniquely determined by allocating a specific identification number to each aggregate so as to clearly distinguish the types of the pipelines. The attributes comprise information of pipeline names, pipeline models, pipeline types and pipeline diameters.
Pipeline data can be classified differently according to two methods: classifying according to geometric characteristics and classifying according to functional attributes. The method is divided into two types of pipelines and pipe points according to geometric characteristics; the water treatment system is divided into 13 types, such as an underdrain, a power line, a power supply pipeline, a monitoring signal pipeline, a street lamp pipeline, a hot water pipeline, a drinking water (water supply) pipeline, a natural gas pipeline, a communication pipeline, a sewage pipeline, a rainwater pipeline, a comprehensive pipeline, a reclaimed water pipeline and the like according to functional attributes.
Step 2: the system starts a camera, identifies the current position, acquires the visual field range of the camera of the client and calculates the visual space. The camera view is a rectangle, and GPS positioning parameters [ x, y ] and a loading radius r are utilized, wherein x is longitude, y is latitude, and r is a distance value of a range of 10m in a world coordinate system, and the view range is the lower left corner coordinate and the upper right corner coordinate [ x-r, y-r, x + r, y + r ] of the rectangle. And transmitting the coordinate parameter to a pipeline space data Web service in a url parameter mode of an http protocol, accessing a space database by the pipeline space data Web service, searching and inquiring pipeline data by using the coordinate parameter, and returning data information in a GeoJSON format.
And step 3: and combining the model data returned by the spatial data Web service with the real image acquired by the camera to draw the virtual scene. And the virtual scene picture is combined with rendered pipeline information data and transmitted to the mobile terminal together by the pipeline space data Web service, and the virtual scene picture is displayed on a client interface. The fusion of the underground pipeline model and the real ground image is realized by adopting a virtual sectioning mode, and the pipeline is sectioned through a 180-degree front-view circular gallery, so that a ground groove is added for the pipeline to express the relation between the pipeline and the ground. And adding a transparent layer in the area outside the opening range of the geosyncline, simulating the shielding relation, and observing the pipeline model only from the opening of the geosyncline after shielding.
On the real integration of the ground and the sectioning tunnel, the transparent layer shielding is realized by adopting the OpenGL ES 2.0 hybrid technology, so that the tunnel has good immersion on the ground. The blending technique determines a weighted ratio of two fragments of the model image and the real image according to the blending factor. The mixing factor comprises a source factor and a target factor, wherein the source factor determines the proportion of the to-be-added fragment in the display, and the target factor determines the proportion of the original fragment in the display. The real image provides the parameters of the source fragment and the model image provides the parameters of the target fragment. The source factors are [ Sr, sg, sb, sa ], the target factors are [ Dr, dg, db, da ], the source fragments are [ Rs, gs, bs, as ], the target fragments are [ Rd, gd, bd, ad ], R (R), G (G), B (B) and A (a) respectively correspond to the red, green, blue and transparency in 4 color channels. The color finally displayed after mixing is [ RsSr + RdDr, gsSg + GdDg, bssb + BdDb, asSa + AdDa ].
And 4, step 4: and (3) monitoring the angular velocity, the acceleration and the direction parameters of the client in real time, calculating the position change of the virtual object reversely, combining the position change with the real image in real time, and repeating the step 3 to draw the virtual scene so as to realize the tracking process of the virtual object. Due to the limitation of the precision of the mobile phone sensor, the phenomena of shaking and drifting easily occur in the three-dimensional tracking process. Aiming at the problem, the system uses a weighted recursive average filter algorithm to process the acceleration data. Defining acceleration parameters corresponding to the three axes of x, y and z as A x 、A y And A z The new parameter after change is A' x 、A′ y And A' z Defining the distance d between the old and new parameters as the standard of the parameter jitter degree:
then, taking the distance as an independent variable to obtain a factor weight coefficient α of the low-pass filter, where the value of α is obtained by segmentation according to the range of d, as shown in the following formula:
and low and high are boundary values obtained by carrying out average segmentation on the maximum value of the parameter sampling statistical distance at the current moment. Suppose that the maximum value of the distance between the sensor parameters sampled and obtained at the time t1 is d max Then, then
Finally, multiplying the factor weight coefficient by the parameter change value in a weighting mode, and superposing the factor weight coefficient and the parameter change value on the data before change, thereby obtaining the parameter value A after filtering processing x1 、A y1 And A z1 As follows:
A x1 ＝A x +α(d)(A′ x -A x )
A y1 ＝A y +α(d)(A′ y -A y )
A z1 ＝A z +α(d)(A′ z -A z )
after the sensor signals are filtered, the shaking drift phenomenon is reduced, and the experience effect of a user is improved.
Claims (6)
1. An underground pipeline exploration method based on an ARGIS (geographic information System), which is characterized by comprising the following steps:
step 1: establishing a spatial database of the underground pipeline;
step 2: acquiring the visual field range of a camera of a client, performing visible space calculation, transmitting the coordinate parameters of the visual field range to a pipeline space data Web service in a url parameter mode of an http protocol, accessing a space database by the pipeline space data Web service, performing retrieval query on pipeline data by using the coordinate parameters, and returning data information to the client in a GeoJSON format;
and step 3: combining the model data returned by the spatial data Web service with the real image acquired by the camera to draw a virtual scene; the virtual scene picture is combined with rendered pipeline information data and transmitted to the client side together through a pipeline space data Web service, and the virtual scene picture is displayed on a client side interface;
and 4, step 4: and (4) monitoring the angular velocity, the acceleration and the direction parameters of the client in real time, calculating the position change of the virtual object reversely, combining the position change with the real image in real time, and repeating the step (3) to draw the virtual scene so as to realize the tracking process of the virtual object.
2. The method for exploring an underground pipeline based on an ARGIS according to claim 1, wherein: in the step 1, the spatial database adopts Shape vector pipeline data and is imported by arcgis; the pipeline data is divided into two types of pipelines and pipeline points according to geometric characteristics; and the system is divided into 13 types of underdrains, power line carriers, power supply pipelines, monitoring signal pipelines, street lamp pipelines, hot water pipelines, drinking water pipelines, natural gas pipelines, communication pipelines, sewage pipelines, rainwater pipelines, comprehensive pipelines and reclaimed water pipelines according to functional attributes.
3. The method for exploring an underground pipeline based on an ARGIS according to claim 1, wherein: the camera view in the step 2 is a rectangle, and the view range coordinate parameter is the coordinates [ x-r, y-r, x + r, y + r ] of the lower left corner and the upper right corner of the rectangle, where x is the longitude of the location where the client is located, y is the latitude, and r is the distance value of the range of 10m in the world coordinate system.
4. The method for exploring an underground pipeline based on an ARGIS according to claim 1, wherein: in the step 3, the fusion of the underground pipeline model and the real ground image is realized by adopting a virtual sectioning mode, and the relation between the pipeline and the ground is expressed by adding a ground groove for the pipeline through sectioning the circular tunnel with the front view angle of 180 degrees; and adding a transparent layer in the area outside the opening range of the geosyncline, simulating the shielding relation, and observing the pipeline model only from the opening of the geosyncline after shielding.
5. The ARGIS-based underground pipeline exploration method according to claim 4, wherein: realizing transparent layer shielding by utilizing an OpenGL ES 2.0 mixing technology, wherein a real image provides parameters of a source fragment, and a model image provides parameters of a target fragment; and if the source factors are [ Sr, sg, sb, sa ], the target factors are [ Dr, dg, db, da ], the source fragment is [ Rs, gs, bs, as ], the target fragment is [ Rd, gd, bd, ad ], R (R), G (G), B (B) and A (a) respectively correspond to red, green, blue and transparency in 4 color channels, and finally the color displayed after mixing is [ RsSr + RdDr, gsSg + GdDg, bsSb + BdDb, asSa + AdDa ].
6. The method for exploring an underground pipeline based on an ARGIS according to claim 1, wherein: in the step 4, filtering anti-shaking processing is performed on the acceleration parameters by using a weighted recursive average filtering algorithm, and acceleration parameters corresponding to the three axes x, y and z are defined as A x 、A y And A z The new parameter after change is A' x 、A′ y And A' z Defining the distance d between the old and new parameters as the standard of the parameter jitter degree:
then, taking the distance d as an independent variable to obtain a factor weight coefficient α of the low-pass filter, where the value of α is obtained by segmentation according to the range of d, as shown in the following formula:
wherein low and high are boundary values obtained by averagely segmenting the maximum value of the parameter sampling statistical distance at the current moment; suppose that the maximum value of the distance between the sensor parameters sampled and obtained at the time t1 is d max Then, then
Finally, multiplying the factor weight coefficient by the parameter change value in a weighting mode, and superposing the factor weight coefficient and the parameter change value on the data before change, thereby obtaining the parameter value A after filtering processing x1 、A y1 And A z1 As follows:
A x1 ＝A x +α(d)(A′ x -A x )
A y1 ＝A y +α(d)(A′ y -A y )
A z1 ＝A z +α(d)(A′ z -A z )。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010206526.0A CN111402428B (en) | 2020-03-23 | 2020-03-23 | Underground pipeline exploration method based on ARGIS |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010206526.0A CN111402428B (en) | 2020-03-23 | 2020-03-23 | Underground pipeline exploration method based on ARGIS |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111402428A CN111402428A (en) | 2020-07-10 |
| CN111402428B true CN111402428B (en) | 2023-04-07 |
Family
ID=71429128
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010206526.0A Active CN111402428B (en) | 2020-03-23 | 2020-03-23 | Underground pipeline exploration method based on ARGIS |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111402428B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015096806A1 (en) * | 2013-12-29 | 2015-07-02 | 刘进 | Attitude determination, panoramic image generation and target recognition methods for intelligent machine |
| CN109522951A (en) * | 2018-11-09 | 2019-03-26 | 上海智瞳通科技有限公司 | A kind of method of environment and the multidimensional information Data acquisition and storage of target |
-
2020
- 2020-03-23 CN CN202010206526.0A patent/CN111402428B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015096806A1 (en) * | 2013-12-29 | 2015-07-02 | 刘进 | Attitude determination, panoramic image generation and target recognition methods for intelligent machine |
| CN109522951A (en) * | 2018-11-09 | 2019-03-26 | 上海智瞳通科技有限公司 | A kind of method of environment and the multidimensional information Data acquisition and storage of target |
Non-Patent Citations (2)
| Title |
|---|
| 武雪玲 ; 任福 ; 杜清运 ; .混合硬件跟踪定位的空间信息虚实配准.地理与地理信息科学.2010,(第03期),全文. * |
| 郝东升.移动终端地下管线透视探查系统.中国优秀硕士学位论文全文数据库 (工程科技Ⅱ辑).2016,C083-561. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111402428A (en) | 2020-07-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106897417B (en) | A kind of construction method of the city space holographic map based on the fusion of multi-source big data | |
| CN108919944B (en) | Virtual roaming method for realizing data lossless interaction at display terminal based on digital city model | |
| CN107679229A (en) | The synthetical collection and analysis method of city three-dimensional building high-precision spatial big data | |
| CN108665149B (en) | Method and system for measuring and calculating degree of mixing based on urban functions | |
| CN110866494B (en) | Urban group extraction method and system based on optical remote sensing image | |
| CN115774861B (en) | Natural resource multi-source heterogeneous data convergence fusion service system | |
| CN103884345A (en) | Interest point information collecting method, interest point information displaying method, interest point information collecting device, interest point information displaying device, and interest point retrieval system | |
| CN114065364B (en) | Urban engineering planning method and system based on unmanned aerial vehicle remote sensing mapping | |
| Wang et al. | A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling | |
| KR101876114B1 (en) | Terminal, server, system for 3d modeling and 3d modeling method using the same | |
| CN111401726A (en) | Building design method, device, system and storage medium | |
| CN103632538A (en) | Three-dimensional (3D) live-action collection system for road | |
| Khayyal et al. | Creation and spatial analysis of 3D city modeling based on GIS data | |
| CN105844031B (en) | A kind of urban transportation gallery recognition methods based on mobile phone location data | |
| CN116468869A (en) | Live-action three-dimensional modeling method, equipment and medium based on remote sensing satellite image | |
| CN111402428B (en) | Underground pipeline exploration method based on ARGIS | |
| CN117422839A (en) | GIS system based on multidimensional space geographic information big data and GIS system service method | |
| CN114331232B (en) | Street space quality monitoring, evaluating and early warning method | |
| CN103177650A (en) | Simple digital map manufacturing method based on aerial photo | |
| CN115713603A (en) | Multi-type block building group form intelligent generation method based on building space map | |
| CN115527028A (en) | Map data processing method and device | |
| CN112000758B (en) | Three-dimensional urban building construction method | |
| CN115130171A (en) | AR scene-based environment analysis system and method, electronic device and storage medium | |
| CN114490907A (en) | Method and device for constructing famous city management database and storage medium | |
| CN112802191A (en) | Real-time simulation display system for city planning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |