CN109685895A - A kind of map landform Mean Method suitable for smart grid construction object-oriented - Google Patents
A kind of map landform Mean Method suitable for smart grid construction object-oriented Download PDFInfo
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Abstract
A kind of map landform Mean Method suitable for smart grid construction object-oriented, comprising: the GPS satellite map to be surveyed is read in by matlab software, generates relevant information matrix;Resulting information matrix is carried out long and wide absolute value to calculate;Obtained length and wide absolute value are compared with the length and wide preset value directly calculated convenient for program respectively;Calculate separately long and wide preset value and length and wide absolute value difference;Edge pixel filling is carried out to relevant information matrix using difference, obtains new image information matrix;Image information matrix is split according to default minification, obtains required matrix-block;Mean value computation is carried out to each matrix-block and generates final image information matrix;Final image information matrix is exported with graphic form.The present invention can carry out accurate exploration to complicated topography and geomorphology and calculate.
Description
Technical field
The present invention relates to a kind of landform mean algorithms.Object-oriented is built suitable for smart grid more particularly to a kind of
Map landform Mean Method.
Background technique
In recent years, as the support and construction to Tibet region is continuously improved in country, so that the economy of Tibetan area, traffic, people
People's production and living have a qualitative leap.However for rail traffic, for electric system construction, the High aititude in Tibet and institute
The topography and geomorphology of exclusive complex multiplicity, very big obstruction is caused to topographic(al) reconnaissance personnel.By taking electric system as an example, with
Science and technology fast development, by flexible, safe and clean feature, smart grid has obtained more commonly used.Tradition
Power grid lacks certain information share there are many information islands, and the intelligence of entire power grid is relatively low, when there is power grid
When failure, a large amount of manpower and material resources is needed just to can determine that fault zone.And smart grid can utilize the Observable of smart grid
Property, intelligence, adaptivity, controllability and the features such as automatically analyze, are compared in time by certain technological means
Complete information improves the comprehensive utilization of the energy.However, building for smart grid needs to have location very fine survey
It surveys and calculates.And the topographic(al) reconnaissance method that survey crew generally use now is manpower exploration method, is consuming a large amount of manpower
While material resources, the complicated landform in Tibet further limits the precision of topographic(al) reconnaissance.Therefore highly desirable one kind is suitable for
The local investigation method of the intelligence of smart grid construction.
Mapping and survey design integration are a kind of according to China's land expropriation, utilization, exploitation and planning etc. work
Needs, and to the work that the use scope in relevant range soil, boundary, position, location, land area etc. are measured and calculated
Make, the work such as cadastral survey manual and grant land use right can be carried out for land resources department, China and accurate, scientific basis is provided
Data has great importance in terms of China's land use exploitation.And the development scientific and technical with China's items in recent years,
GPS, RTK etc. items technology it is increasingly mature so that we this portion of techniques can be also applied to China mapping and
Survey design integration work, to be carried out with the high speed that its high efficiency, accuracy effectively push China's ground investigation to work.
Regarding to the issue above the problem of, it can be seen that the map landform algorithm suitable for high altitude localities can be with intelligent electricity
The construction of net combines, and completes building and safeguarding to smart grid, the product that technology is developed also has good market
Prospect.And in smart grid communication system, it is also rarely reported with the research of the technology and product, thus the proposition of this method
It plays an important role for improving building for smart grid with detection maintenance.
Summary of the invention
The technical problem to be solved by the invention is to provide a kind of map suitable for smart grid construction object-oriented
Shape Mean Method.
The technical scheme adopted by the invention is that: a kind of map landform mean value suitable for smart grid construction object-oriented
Method includes the following steps:
1) the GPS satellite map to be surveyed is read in by matlab software, generates relevant information matrix A;
2) resulting information matrix A long and wide absolute value is carried out to calculate;
3) obtained length and wide absolute value are compared with the length and wide preset value directly calculated convenient for program respectively
Compared with if long and wide absolute value is respectively smaller than long and wide preset value, into next step;If having in long and wide absolute value
More than one are greater than long and wide preset value, then long and wide preset value is expanded 500 respectively, continues to compare;
4) long and wide preset value and length and wide absolute value difference m, n are calculated separately;
5) difference m, n is utilized to carry out edge pixel filling to relevant information matrix A, obtain new image information matrix B;
6) image information matrix B is split according to default minification, obtains required matrix-block;
7) mean value computation is carried out to each matrix-block and generates final image information matrix M;
8) final image information matrix M is exported with graphic form.
Relevant information described in step 1) includes: height, abscissa and ordinate above sea level.
A kind of map landform Mean Method suitable for smart grid construction object-oriented of the invention, can be to complexity
Topography and geomorphology carries out accurate exploration and calculates.By simulation analysis we can be found that the present invention has the advantage that
1, it is utilized after method of the invention, the fineness of topographic(al) reconnaissance is greatly improved
2, using the processing method of object-oriented, keep the user's operation of the method for the present invention easier.
3, it combines with GPS satellite map, is calculated in real time convenient for the real-time update of landform.
Detailed description of the invention
Fig. 1 is a kind of map landform Mean Method flow chart suitable for smart grid construction of the present invention;
Fig. 2 is original satellite map in the present invention;
Fig. 3 is the satellite map in the present invention after treatment
Fig. 4 is that treated in present invention artificially generated terrain figure.
Specific embodiment
Below with reference to embodiment and attached drawing to a kind of map landform mean value side suitable for smart grid construction of the invention
Method is described in detail.
As shown in Figure 1, a kind of map landform Mean Method suitable for smart grid construction of the invention, including walk as follows
It is rapid:
1) the GPS satellite map to be surveyed is read in by matlab, generates relevant information matrix A, it is described
Relevant information includes: height, abscissa and ordinate above sea level;
2) resulting information matrix A long and wide absolute value is carried out to calculate;
3) obtained length and wide absolute value are compared with the length and wide preset value directly calculated convenient for program respectively
Compared with if long and wide absolute value is respectively smaller than long and wide preset value, into next step;If having in long and wide absolute value
More than one are greater than long and wide preset value, then long and wide preset value is expanded 500 respectively, continues to compare;
4) long and wide preset value and length and wide absolute value difference m, n are calculated separately;
5) difference m, n is utilized to carry out edge pixel filling to relevant information matrix A, obtain new image information matrix B;
6) image information matrix B is split according to default minification, obtains required matrix-block;
7) mean value computation is carried out to each matrix-block and generates final image information matrix M;
8) final image information matrix M is exported with graphic form.
Method of the invention is write in the form of object-oriented, input variable size_x, size_y, path difference
To preset long width values, original image file storing path, main body function is above-mentioned logical form.
Such as Fig. 2, shown in 3, handled by method of the invention, the Pixel Information of picture has obtained required processing.
As shown in figure 4, handled by method of the invention, the sea level on the average for the landform that obtained that treated.The sea
Degree of lifting embody point 1- point 6 by matlab as expected power plant construction position.
Claims (2)
1. a kind of map landform Mean Method suitable for smart grid construction object-oriented, which is characterized in that including walking as follows
It is rapid:
1) the GPS satellite map to be surveyed is read in by matlab software, generates relevant information matrix A;
2) resulting information matrix A long and wide absolute value is carried out to calculate;
3) obtained length and wide absolute value are compared with the length and wide preset value directly calculated convenient for program respectively, if
Long and wide absolute value is respectively smaller than long and wide preset value, then enters next step;If having one kind in long and wide absolute value
It is greater than long and wide preset value above, then long and wide preset value is expanded 500 respectively, continues to compare;
4) long and wide preset value and length and wide absolute value difference m, n are calculated separately;
5) difference m, n is utilized to carry out edge pixel filling to relevant information matrix A, obtain new image information matrix B;
6) image information matrix B is split according to default minification, obtains required matrix-block;
7) mean value computation is carried out to each matrix-block and generates final image information matrix M;
8) final image information matrix M is exported with graphic form.
2. a kind of map landform Mean Method suitable for smart grid construction object-oriented according to claim 1,
It is characterized in that, relevant information described in step 1) includes: height, abscissa and ordinate above sea level.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110188496A (en) * | 2019-06-04 | 2019-08-30 | 湖南特能博世科技有限公司 | Graphical survey data generation method, device and terminal |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006078552A (en) * | 2004-09-07 | 2006-03-23 | Fujitsu Ten Ltd | Image magnification device |
US20130223734A1 (en) * | 2012-02-24 | 2013-08-29 | Oncel Tuzel | Upscaling Natural Images |
US20140368509A1 (en) * | 2013-06-18 | 2014-12-18 | Adobe Systems Incorporated | Iterative Patch-Based Image Upscaling |
-
2018
- 2018-11-10 CN CN201811335515.1A patent/CN109685895B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006078552A (en) * | 2004-09-07 | 2006-03-23 | Fujitsu Ten Ltd | Image magnification device |
US20130223734A1 (en) * | 2012-02-24 | 2013-08-29 | Oncel Tuzel | Upscaling Natural Images |
US20140368509A1 (en) * | 2013-06-18 | 2014-12-18 | Adobe Systems Incorporated | Iterative Patch-Based Image Upscaling |
Non-Patent Citations (3)
Title |
---|
成思源,等: "《计算机图形学》", 31 August 2003 * |
海占广等: ""基于大规模DEM数据的地形仿真算法"", 《林业调查规划》 * |
陈鸽,等: ""一种对复杂闭合边缘图像的填充方法"", 《信阳师范学院学报》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110188496A (en) * | 2019-06-04 | 2019-08-30 | 湖南特能博世科技有限公司 | Graphical survey data generation method, device and terminal |
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