CN110288134A - A kind of fast automatic statistical method of city classification land area - Google Patents
A kind of fast automatic statistical method of city classification land area Download PDFInfo
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Abstract
A kind of fast automatic statistical method of city classification land area, this method traverse the closure multi-section-line of all cell figure layers, judge to be closed whether multi-section-line is located in a certain middle area or great Qu, its area are calculated, by statistic of classification of forming a team.This method comprises: obtaining the city Land arrangement planning chart of approved；City Land arrangement planning chart is inserted into CAD, and ruler adjusts drawing scale in proportion；All kinds of urban land profiles are drawn with closure multi-section-line, and return to respective cell figure layer, great Qu, middle area individually set figure layer, programming count software traverses cell figure layer and all closure multi-section-lines of the cell figure layer, judge whether cell figure layer closure multi-section-line is located in middle area or great Qu, closure multi-section-line area is calculated, by statistic of classification of forming a team, program exports statistical result.A kind of fast automatic statistical method of city classification land area of the present invention, realizes the fast automatic statistics of city classification land area, solves artificial block-by-block statistics, with heavy work load, poor feasibility and the not high problem of accuracy rate.
Description
Technical field
The present invention relates to Power System Planning fields, and in particular to a kind of fast automatic statistics side of city classification land area
Method.
Background technique
Spatial Load Forecasting is the prediction that the geographical location to power load distributing, time and data carry out, it is high-voltage transforming
It stands the basis of addressing, accuracy determines the operability and adaptability of urban power network planning scheme.Spatial Load Forecasting method
(spatial load forecasting) provides definition by American scholar H.L.Willis in nineteen eighty-three: by load prediction land used
It is divided into rule or irregular cell (load cellular) according to certain principle, by cellular land use feature and cellular load
The quantity of power consumer in each cellular, electricity and the time of generation are predicted in the analysis of the rule of development.
Existing space load prediction by principle can be divided into land used emulation class method, district load density index method, polytomy variable method and
Trend space-like load forecasting method, wherein district load density index method is most representative.Various methods are substantially from different angles
Degree solves two Chief amongsts of Spatial Load Forecasting method: specific land character classification and accurate classed load density,
To improve prediction result accuracy.It is main at present to carry out grid dividing using for different type region, to reach to power distribution network
The accurate prediction of load.
Saturated density index method is the common method of Spatial Load Forecasting, for distant view year (load is saturated year), is predicted
Cheng Shi: cell load=cell saturation loading density × cell load area, Zhong Qu, great Qu load=affiliated area are saturated year cell
The sum of load × load simultaneity factor.
It can be seen that Spatial Load Forecasting and urban land property are closely bound up, with certain city, Land arrangement planning chart is
Example, is divided into 4 and forms a team, there is 3171 cells, if workload is quite big, poor feasibility such as artificial block-by-block statistics, it is also difficult to
Guarantee accurate；If range of forming a team adjusts, count again again, therefore it is quick to need a kind of city classification land area
Method for automatically counting.
Summary of the invention
The present invention provides a kind of fast automatic statistical method of city classification land area, realizes that city classification land area is fast
Fast programming count solves artificial block-by-block statistics, with heavy work load, poor feasibility and the not high problem of accuracy rate.
The technical scheme adopted by the invention is as follows:
A kind of fast automatic statistical method of city classification land area, this method traverse the closure multi-section-line of all cell figure layers,
Judge to be closed whether multi-section-line is located in a certain middle area or great Qu, its area is calculated, by statistic of classification of forming a team.
A kind of fast automatic statistical method of city classification land area, comprising the following steps:
Step 1: obtaining the city Land arrangement planning chart of approved；
Step 2: city Land arrangement planning chart being inserted into CAD, and ruler adjusts drawing scale in proportion: 1=1 meter；
Step 3: drawing all kinds of urban land profiles with closure multi-section-line, and return to respective cell figure layer, great Qu, middle area are individually set
Figure layer,
Wherein: figure layer cell 01 is trade financing land used, class code YD-B；
Figure layer cell 02 is administrative office land used, class code YD-A1；
Figure layer cell 03 is health care land used, class code YD-A5；
Figure layer cell 04 is entertainment land used, class code YD-A2；
Figure layer cell 05 is industrial land, class code YD-M；
Figure layer cell 06 is education and scientific research land used, class code YD-A3；
Figure layer cell 07 is residential estate, class code YD-R；
Figure layer cell 08 is special use area, class code YD-H4；
Figure layer cell 09 is municipal utilities, class code YD-U；
Figure layer cell 10 is logistic storage land used, class code YD-W；
Figure layer cell 11 is roads and squares, class code YD-S；
Figure layer cell 12 is greenery patches, class code YD-G；
Figure layer cell 13 is waters, class code YD-E1.
Walk poly- 4: programming count software traverses cell figure layer and all closure multi-section-lines of the cell figure layer, judges cell figure layer
Whether closure multi-section-line is located in middle area or great Qu, calculates closure multi-section-line area, by statistic of classification of forming a team, program output statistics
As a result.
A kind of fast automatic statistical method of city classification land area of the present invention, has the beneficial effect that:
1, the present invention can be to the fast automatic statistics of city classification land area.
2, the work difficulty and workload of planning personnel can be greatly reduced in the present invention.
3, the present invention improves the Spatial Load Forecasting feasibility based on saturated density index method.
Detailed description of the invention
Fig. 1 is certain city part Land arrangement planning chart.
Fig. 2 is local Land arrangement planning chart (CAD format).
Fig. 3 is certain city Land arrangement planning chart (CAD format).
Fig. 4 is programming count software operation figure.
Specific embodiment
A kind of fast automatic statistical method of city classification land area, this method traverse the closure multistage of all cell figure layers
Line judges to be closed whether multi-section-line is located in a certain middle area or great Qu, its area is calculated, by statistic of classification of forming a team.
Great Qu often corresponds to entire urban planning range, and middle area is to comprehensively consider territorial environment, cultural identity, industry function
Can etc. factors carry out partition functionality and form a team, for example be divided into Dongcheng District, old town etc., and cell is then the control of single land character
Unit processed.
Closure multi-section-line refers to i.e. end to end multi-section-line.
Classification of forming a team, which is formed a team by different functions, counts all kinds of land areas.
A kind of fast automatic statistical method of city classification land area of the present invention, can to city classification land area quickly from
Dynamic statistics, can be greatly reduced the work difficulty and workload of planning personnel, improve the space load based on saturated density index method
Predict feasibility.After area or great Qu are adjusted in the middle, the software only need to be reruned, statistical result adjusted can be obtained, be
Saturation load forecasting provides necessary precondition.
A kind of fast automatic statistical method of city classification land area, comprising the following steps:
Step 1: the city Land arrangement planning chart of rule committee meeting approved is obtained from urban planning institute.
Step 2: city Land arrangement planning chart being inserted into CAD, and ruler adjusts drawing scale in proportion: 1=1 meter；
Step 3: drawing all kinds of urban land profiles with closure multi-section-line, and return to respective cell figure layer, great Qu, middle area are individually set
Figure layer.
Great Qu, middle area individually set figure layer, are convenient for or form a team by function or count all kinds of by entire planned range to use ground
Product.
Wherein: figure layer cell 01 is trade financing land used, class code YD-B；
Figure layer cell 02 is administrative office land used, class code YD-A1；
Figure layer cell 03 is health care land used, class code YD-A5；
Figure layer cell 04 is entertainment land used, class code YD-A2；
Figure layer cell 05 is industrial land, class code YD-M；
Figure layer cell 06 is education and scientific research land used, class code YD-A3；
Figure layer cell 07 is residential estate, class code YD-R；
Figure layer cell 08 is special use area, class code YD-H4；
Figure layer cell 09 is municipal utilities, class code YD-U；
Figure layer cell 10 is logistic storage land used, class code YD-W；
Figure layer cell 11 is roads and squares, class code YD-S；
Figure layer cell 12 is greenery patches, class code YD-G；
Figure layer cell 13 is waters, class code YD-E1.
It is required that closure multi-section-line is not overlapped, do not isolate.Local Land arrangement planning chart is as shown in Figure 1, the office to complete
Portion's Land arrangement planning chart (CAD format) is as shown in Figure 2.
Walk poly- 4: programming count software traverses cell figure layer and all closure multi-section-lines of the cell figure layer, judges cell figure layer
Whether closure multi-section-line is located in middle area or great Qu, calculates closure multi-section-line area, by statistic of classification of forming a team, program output statistics
As a result as shown in Figure 4.
Claims (3)
1. a kind of fast automatic statistical method of city classification land area, it is characterised in that: this method traverses all cell figure layers
Closure multi-section-line, judge be closed multi-section-line whether be located in a certain middle area or great Qu, calculate its area, by form a team classification system
Meter.
2. a kind of fast automatic statistical method of city classification land area, it is characterised in that the following steps are included:
Step 1: obtaining the city Land arrangement planning chart of approved；
Step 2: city Land arrangement planning chart being inserted into CAD, and ruler adjusts drawing scale in proportion: 1=1 meter；
Step 3: drawing all kinds of urban land profiles with closure multi-section-line, and return to respective cell figure layer, great Qu, middle area are individually set
Figure layer,
Walk poly- 4: programming count software traverses cell figure layer and all closure multi-section-lines of the cell figure layer, judges that cell figure layer is closed
Whether multi-section-line is located in middle area or great Qu, calculates closure multi-section-line area, by statistic of classification of forming a team, program output statistics knot
Fruit.
3. a kind of fast automatic statistical method of city classification land area according to claim 2, it is characterised in that:
Figure layer cell 01 is trade financing land used, class code YD-B；
Figure layer cell 02 is administrative office land used, class code YD-A1；
Figure layer cell 03 is health care land used, class code YD-A5；
Figure layer cell 04 is entertainment land used, class code YD-A2；
Figure layer cell 05 is industrial land, class code YD-M；
Figure layer cell 06 is education and scientific research land used, class code YD-A3；
Figure layer cell 07 is residential estate, class code YD-R；
Figure layer cell 08 is special use area, class code YD-H4；
Figure layer cell 09 is municipal utilities, class code YD-U；
Figure layer cell 10 is logistic storage land used, class code YD-W；
Figure layer cell 11 is roads and squares, class code YD-S；
Figure layer cell 12 is greenery patches, class code YD-G；
Figure layer cell 13 is waters, class code YD-E1.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112233168A (en) * | 2020-09-30 | 2021-01-15 | 经纬空间信息科技有限公司 | CAD-based (computer-aided design) -based rapid real estate area extraction method, system, equipment and medium |
| CN112231807A (en) * | 2020-09-30 | 2021-01-15 | 经纬空间信息科技有限公司 | CAD-based house area personalized extraction method, system, equipment and medium |
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| CN105320802A (en) * | 2015-05-29 | 2016-02-10 | 南京市城市规划编制研究中心 | Auto CAD general graphical object based method for implementing aided planning and design |
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| CN101510273A (en) * | 2008-08-28 | 2009-08-19 | 南京大学 | Method for rapidly counting city planning earth area and computer program |
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| CN112233168A (en) * | 2020-09-30 | 2021-01-15 | 经纬空间信息科技有限公司 | CAD-based (computer-aided design) -based rapid real estate area extraction method, system, equipment and medium |
| CN112231807A (en) * | 2020-09-30 | 2021-01-15 | 经纬空间信息科技有限公司 | CAD-based house area personalized extraction method, system, equipment and medium |
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Application publication date: 20190927 |