CN109685895B - Object-oriented map topography mean value method suitable for smart grid construction - Google Patents
Object-oriented map topography mean value method suitable for smart grid construction Download PDFInfo
- Publication number
- CN109685895B CN109685895B CN201811335515.1A CN201811335515A CN109685895B CN 109685895 B CN109685895 B CN 109685895B CN 201811335515 A CN201811335515 A CN 201811335515A CN 109685895 B CN109685895 B CN 109685895B
- Authority
- CN
- China
- Prior art keywords
- width
- length
- information matrix
- image information
- value
- 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
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Abstract
An object-oriented map topography mean value method suitable for smart grid construction, comprising: reading a GPS satellite map to be surveyed through matlab software to generate a related information matrix; calculating absolute values of length and width of the obtained information matrix; comparing the obtained absolute values of the length and the width with preset values of the length and the width which are convenient for direct calculation of a program respectively; respectively calculating the difference value between the preset value of the length and the width and the absolute value of the length and the width; performing edge pixel filling on the related information matrix by utilizing the difference value to obtain a new image information matrix; dividing the image information matrix according to a preset reduction multiple to obtain a required matrix block; performing average value calculation on each matrix block to generate a final image information matrix; and outputting the final image information matrix in a picture form. The invention can accurately survey and calculate the complex topography and topography.
Description
Technical Field
The invention relates to a terrain average algorithm. In particular to an object-oriented map topography mean value method suitable for smart grid construction.
Background
In recent years, with the continuous improvement of the support and construction of the Tibetan area in China, the economy, traffic and people production and living in the Tibetan area are greatly improved. However, for rail transit, the construction of the power system, the high altitude of the Tibet and the unique, extremely complex and various topography and topography cause great obstruction to the topography surveyor. Taking an electric power system as an example, with the rapid development of science and technology, the smart grid is more commonly applied by virtue of the characteristics of flexibility, safety and cleanliness. The traditional power grid has a lot of information islands, lacks certain information sharing, has low intelligent performance, and can determine a fault area only by a large amount of manpower and material resources when a power grid fault occurs. The intelligent power grid can acquire complete information in time by utilizing the characteristics of observability, intelligence, self-adaptability, controllability, automatic analysis and the like of the intelligent power grid through a certain technical means, and the comprehensive utilization of energy is improved. However, the construction of smart grids requires very fine surveys and calculations of the region where they are located. The conventional terrain surveying method commonly used by surveyors is a manual surveying method, and the precision of the terrain surveying is further limited by the complex Tibet terrain while a large amount of manpower and material resources are consumed. There is a great need for an intelligent local survey method suitable for smart grid construction.
The topography mapping and survey delimitation is a work for measuring and calculating the use range, the border location, the land area and the like of the land of the relevant area according to the requirements of work in aspects of collection, utilization, development, planning and the like of the land of China, can provide accurate and scientific basic data for the work of carrying out cadastral management, land examination and approval and the like of the resource departments of China, and has important significance in the aspect of land utilization and development of China. With the development of various scientific technologies in China in recent years, various technologies such as GPS (Global positioning System), RTK (real time kinematic) and the like are mature, so that the technology can be applied to the topographic mapping and surveying and demarcation work in China, and the high-speed development of the land surveying work in China is effectively promoted with high efficiency and accuracy.
Aiming at the problems, the map topography algorithm suitable for the high-altitude areas can be combined with the construction of the intelligent power grid to complete the construction and maintenance of the intelligent power grid, and products developed by the technology have good market prospect. In the smart grid communication system, researches and products applying the technology are still freshly reported, and therefore, the proposal of the method plays an important role in improving the construction, detection and maintenance of the smart grid.
Disclosure of Invention
The invention aims to solve the technical problem of providing a map topography mean value method suitable for smart grid construction of an object-oriented map.
The technical scheme adopted by the invention is as follows: an object-oriented map topography mean value method suitable for smart grid construction comprises the following steps:
1) Reading a GPS satellite map to be surveyed through matlab software to generate a related information matrix A;
2) Calculating the absolute value of the length and the width of the obtained information matrix A;
3) Comparing the obtained absolute values of the length and the width with preset values of the length and the width which are convenient for direct calculation of a program respectively, and if the absolute values of the length and the width are smaller than the preset values of the length and the width respectively, entering the next step; if more than one of the absolute values of the length and the width is larger than the preset values of the length and the width, expanding the preset values of the length and the width by 500 respectively, and continuing to compare;
4) Respectively calculating the difference value m and n between the preset value of the length and the width and the absolute value of the length and the width;
5) Performing edge pixel filling on the related information matrix A by using the difference value m and n to obtain a new image information matrix B;
6) Dividing the image information matrix B according to a preset reduction multiple to obtain a required matrix block;
7) Performing average value calculation on each matrix block to generate a final image information matrix M;
8) And outputting the final image information matrix M in a picture form.
The related information in step 1) includes: altitude, abscissa and ordinate.
The method for constructing the object-oriented map terrain average value is suitable for smart power grids, and can accurately survey and calculate complex terrains and terrains. Through simulation analysis, the invention has the following advantages:
1. after the method of the invention is utilized, the fine degree of the topographic survey is greatly improved
2. The object-oriented processing method is adopted, so that the user operation of the method is simpler and more convenient.
3. And the method is combined with a GPS satellite map, so that the real-time updating and real-time calculation of the terrain are facilitated.
Drawings
FIG. 1 is a flow chart of a map terrain average method suitable for smart grid construction;
FIG. 2 is an original satellite map of the present invention;
FIG. 3 is a processed satellite map according to the present invention
Fig. 4 is a simulated topography after processing in the present invention.
Detailed Description
The map topography mean method suitable for smart grid construction is described in detail below with reference to the embodiments and the accompanying drawings.
As shown in fig. 1, the map topography mean value method suitable for smart grid construction of the present invention includes the following steps:
1) Reading a GPS satellite map to be surveyed through matlab, and generating a related information matrix A, wherein the related information comprises the following components: altitude, abscissa and ordinate of the sea level;
2) Calculating the absolute value of the length and the width of the obtained information matrix A;
3) Comparing the obtained absolute values of the length and the width with preset values of the length and the width which are convenient for direct calculation of a program respectively, and if the absolute values of the length and the width are smaller than the preset values of the length and the width respectively, entering the next step; if more than one of the absolute values of the length and the width is larger than the preset values of the length and the width, expanding the preset values of the length and the width by 500 respectively, and continuing to compare;
4) Respectively calculating the difference value m and n between the preset value of the length and the width and the absolute value of the length and the width;
5) Performing edge pixel filling on the related information matrix A by using the difference value m and n to obtain a new image information matrix B;
6) Dividing the image information matrix B according to a preset reduction multiple to obtain a required matrix block;
7) Performing average value calculation on each matrix block to generate a final image information matrix M;
8) And outputting the final image information matrix M in a picture form.
The method of the invention is written in an object-oriented mode, the input variables size_x, size_y and path are respectively the preset length and width values and the original picture file preservation path, and the main function is in the logic mode.
As shown in fig. 2 and 3, the pixel information of the picture is processed by the method of the invention.
As shown in fig. 4, the average altitude of the treated terrain is obtained by the method of the present invention. The altitude represents a point 1-a point 6 as an expected power station construction position through matlab.
Claims (1)
1. The method for constructing the object-oriented map terrain average value for the smart grid is characterized by comprising the following steps of:
1) Reading a GPS satellite map to be surveyed through matlab software, and generating a related information matrix A, wherein the related information comprises the following components: altitude, abscissa and ordinate of the sea level;
2) Calculating the absolute value of the length and the width of the obtained information matrix A;
3) Comparing the obtained absolute values of the length and the width with preset values of the length and the width which are convenient for direct calculation of a program respectively, and if the absolute values of the length and the width are smaller than the preset values of the length and the width respectively, entering the next step; if more than one of the absolute values of the length and the width is larger than the preset values of the length and the width, expanding the preset values of the length and the width by 500 respectively, and continuing to compare;
4) Respectively calculating the difference value m and n between the preset value of the length and the width and the absolute value of the length and the width;
5) Performing edge pixel filling on the related information matrix A by using the difference value m and n to obtain a new image information matrix B;
6) Dividing the image information matrix B according to a preset reduction multiple to obtain a required matrix block;
7) Performing average value calculation on each matrix block to generate a final image information matrix M;
8) Outputting the final image information matrix M in a picture form;
and (3) obtaining the average altitude of the processed terrain through the processing of the steps 1) to 8), and using the average altitude to select the position of the power station.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811335515.1A CN109685895B (en) | 2018-11-10 | 2018-11-10 | Object-oriented map topography mean value method suitable for smart grid construction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811335515.1A CN109685895B (en) | 2018-11-10 | 2018-11-10 | Object-oriented map topography mean value method suitable for smart grid construction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109685895A CN109685895A (en) | 2019-04-26 |
| CN109685895B true CN109685895B (en) | 2023-07-14 |
Family
ID=66185755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811335515.1A Active CN109685895B (en) | 2018-11-10 | 2018-11-10 | Object-oriented map topography mean value method suitable for smart grid construction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109685895B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110188496B (en) * | 2019-06-04 | 2022-12-16 | 湖南特能博世科技有限公司 | Graphical survey data generation method and device and computer terminal |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006078552A (en) * | 2004-09-07 | 2006-03-23 | Fujitsu Ten Ltd | Image magnification device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8620073B2 (en) * | 2012-02-24 | 2013-12-31 | Mitsubishi Electric Research Laboratories, Inc. | Upscaling natural images |
| US9984440B2 (en) * | 2013-06-18 | 2018-05-29 | Adobe Systems Incorporated | Iterative patch-based image upscaling |
-
2018
- 2018-11-10 CN CN201811335515.1A patent/CN109685895B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006078552A (en) * | 2004-09-07 | 2006-03-23 | Fujitsu Ten Ltd | Image magnification device |
Non-Patent Citations (3)
| Title |
|---|
| "一种对复杂闭合边缘图像的填充方法";陈鸽，等;《信阳师范学院学报》;20090430;第22卷(第2期);全文 * |
| "基于大规模DEM数据的地形仿真算法";海占广等;《林业调查规划》;20090415(第02期);全文 * |
| 成思源，等."边缘填充".《计算机图形学》.2003,第4.5.2节. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109685895A (en) | 2019-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102096072B (en) | Method for automatically measuring urban parts | |
| CN105279793A (en) | Modeling method and system based on DEM real three-dimensional map and greenway | |
| CN102708587A (en) | Method and system for acquiring three-dimensional building information rapidly | |
| CN104574512A (en) | Multi-scale DEM (digital elevation model) construction method considering topographical semantic information | |
| CN104050323A (en) | High altitude mountainous area fuzzy multi-criteria wind power plant site selection method | |
| CN105261067A (en) | Overground and underground integrated modeling method based on true 3D volumetric display technique and system | |
| CN110175370A (en) | A kind of REGION OF WATER INJECTION OILFIELD recognition methods of city charge for remittance | |
| CN103235845A (en) | Water and soil erosion monitoring method for highway construction | |
| CN116401327A (en) | Storm flood calculation auxiliary system for small and medium-sized watershed design in non-data area | |
| CN109685895B (en) | Object-oriented map topography mean value method suitable for smart grid construction | |
| CN109711680A (en) | River System Hydropower planing method based on GIS digitizing technique | |
| Xu et al. | Methods for the construction of DEMs of artificial slopes considering morphological features and semantic information | |
| CN110955742B (en) | DEM-based booster station yard apron inlet for stom water setting area analysis method | |
| Nandi et al. | Geographical Information System (GIS) in water resources engineering | |
| Aringer et al. | Calculation and Update of a 3d Building Model of Bavaria Using LIDAR, Image Matching and Catastre Information | |
| CN116011068B (en) | Comprehensive calculation method and system for land utilization intensity | |
| Niu et al. | Research on dynamic simulation and prediction of urban expansion based on SLEUTH model | |
| Li et al. | Application of three-dimensional GIS to water resources | |
| Yue et al. | Application of ArcGIS in fractal analysis of rivers | |
| CN116403116B (en) | D-InSAR earth surface deformation space-time characteristic fine sensing method for comprehensively planning multiple observation indexes | |
| Zhaodong | Application of GIS Technology in Urban Planning Informatization | |
| Dai | Analysis of Surveying and Mapping Method of Landownership and Environmental Resources Confirmation Based on GPS Technology | |
| Zhu et al. | Slope partition area statistics in Land Development Project zone based on Geographic Information System and grid Digital Elevation Model | |
| Li et al. | A hierarchical contour method for automatic 3D city reconstruction from LiDAR data | |
| Mitasova et al. | Environmental data management, analysis and modeling in GRASS6 |
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 |