CN112288179A - Optimized analysis method for planned village fruit production by using big data - Google Patents
Optimized analysis method for planned village fruit production by using big data Download PDFInfo
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Abstract
The invention provides a method for optimizing and analyzing planned village fruits by using big data, which comprises the following steps: s1, importing the historic and prestored village comprehensive planning data and planning drawing layer data into a database, and performing coordinate system conversion on the village comprehensive planning data; s2, extracting newly added construction land from the village comprehensive planning data after the coordinate system conversion, and calculating the intersection area of the construction land; and S3, matching and overlapping the data of the planning map layer and the map layer of the newly added construction land to obtain the comprehensive optimization result of the data of the planning map layer.
Description
Technical Field
The invention relates to the field of geographic information planning, in particular to a method for optimizing and analyzing planned village fruits by using big data.
Background
Because the application of big data is deepened and promoted constantly, any field is all carrying out intelligent technology with corresponding data upload high in the clouds big data platform, but the corresponding data that relates to geographic information among the prior art, can't accomplish accurate matching land used information, especially carry out the land planning in-process to the village, can not be fast accurate carry out the rational use of land and the quick show and the rational use of village land planning data, this needs technical staff in the field to solve corresponding technical problem urgently.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides a method for optimizing and analyzing planned village fruits by using big data.
In order to achieve the above object, the present invention provides a method for optimized analysis of planned village fruits by using big data, comprising the steps of:
s1, importing the historic and prestored village comprehensive planning data and planning drawing layer data into a database, and performing coordinate system conversion on the village comprehensive planning data;
s2, extracting newly added construction land from the village comprehensive planning data after the coordinate system conversion, and calculating the intersection area of the construction land;
and S3, matching and overlapping the data of the planning map layer and the map layer of the newly added construction land to obtain the comprehensive optimization result of the data of the planning map layer.
Preferably, the S1 includes:
s1-1, the village comprehensive planning data are village land utilization change survey data FA and village planning result data FB; converting coordinate system of village land utilization change survey data FA and village planned fruit data FB, converting the village land utilization change survey data FA through geographical coordinate system to form village land utilization change projection coordinate system FA-PCS, converting the village planned fruit data FB through geographical coordinate system to form village planned fruit change projection coordinate system FB-PCS,
s1-2, screening the planning region FA-PCS-C of village C in the village land utilization change projection coordinate system FA-PCS according to the village screening standard, and changing the planning region FB-PCS-C of village C in the village planning projection coordinate system FB-PCS.
Preferably, the S2 includes:
s2-1, screening and extracting agricultural land and unused land in FA-PCS-C, and using agricultural land and unused land area FA-PCS-C-A of planning area FA-PCS-C of village C in the changed projection coordinate system FA-PCS in village land,
s2-2, screening construction land in FB-PCS-C, and obtaining a construction land area FB-PCS-C-B of a planning area FB-PCS-C of village C in a village planning result change projection coordinate system FB-PCS;
s2-3, intersecting the agricultural land with the unused land area FA-PCS-C-A and the construction land area FB-PCS-C-B to obtain an area overlap layer F _ inter, and establishing an area overlap layer Field1And the method is used for calculating the area of the F _ inter region, and the area of the screening region is larger than a set threshold value and is used as the NCL of the planning construction land of the newly added village.
Preferably, the planning map layer data pre-stored in the history in S1 includes: the method comprises four mountain prohibited building area map layer data FC, town control regulation map layer data FD, traffic regulation map layer data FE, power grid regulation map layer data FF, culture name and village map layer data FG, historical building map layer data FH, cultural relic protection unit map layer data FI, mountain water system green system regulation map layer data FJ and geological disaster map layer data FK.
Preferably, the S3 includes:
s3-1, performing frame cutting along the four-mountain prohibited area map layer data FC by using the NCL of the newly added village planning construction area to obtain a four-mountain prohibited area result map layer as FC-A, and then newly adding a four-mountain prohibited area field FieldFC to calculate the FC-A area;
s3-2, performing frame cutting along the data FD of the urban control regulation map layer by using NCL (national center for planning and construction) of the newly added village to obtain an urban control regulation result map layer as FD-A, and then calculating the area by newly adding an urban control regulation field FieldFD to obtain the number and the area of a plot where the FD-A is located;
s3-3, performing frame cutting along the traffic planning map layer data FE by using the NCL of the newly added village planning construction land to obtain a traffic planning result map layer which is FE-A, wherein the result comprises traffic planning result data of the NCL of the newly added village planning construction land;
s3-4, performing frame cutting along the power grid planning map layer data FF by using the NCL of the newly added village planning construction land to obtain a power grid planning result map layer FF-A, wherein the result comprises power grid planning result data of the NCL of the newly added village planning construction land;
s3-5, performing border cutting along the cultural nominal village map layer data FG by using the NCL of the newly added village planning construction land to obtain a cultural nominal village result map layer FG-A, and then calculating the FG-A area by using the field FieldFG of the newly added cultural nominal village;
s3-6, performing frame cutting along historical building layer data FH by using NCL (national center for planning construction) of the newly added village to obtain a historical building result layer FH-A, and then calculating the FH-A area by adding a historical building field FieldFH;
s3-7, performing frame cutting along the cultural relic protection unit image layer data FI by using the NCL for newly added village planning construction, obtaining a cultural relic protection unit result image layer as FI-A, and then adding a cultural relic protection unit field FieldFI to calculate the FI-A area.
Preferably, the S3 further includes:
s3-8, screening a first-level branch FJ-1, a second-level branch FJ-2 and a third-level branch FJ-3 in the green system planning map layer data FJ of the mountain water system respectively;
s3-9, establishing a first BUFFER area for the FJ-1, wherein the result of the first BUFFER area layer is FJ-1-BUFFER;
s3-10, establishing a second BUFFER area for the FJ-2, wherein the result of the layer of the second BUFFER area is FJ-2-BUFFER;
s3-11, a third BUFFER area is established for the FJ-3, and the result of the layer of the third BUFFER area is FJ-3-BUFFER.
Preferably, the S3 further includes:
s3-12, performing border clipping along the first BUFFER area layer FJ-1-BUFFER by using the NCL of the newly added village planning construction land to obtain a first BUFFER area result layer FJ-1-A, and then adding a first BUFFER area field FieldFJ1Calculating the area FJ-1-A;
s3-13, performing border clipping along the second BUFFER area layer FJ-2-BUFFER by using the NCL of the newly added village planning construction area to obtain a second BUFFER area result layer FJ-2-A, and then adding a second BUFFER area field FieldFJ2Calculating the area FJ-2-A;
s3-14, performing frame cutting along the geological disaster position map layer data FK by using the newly-added village planning and construction land NCL to obtain a geological disaster position result map layer FK-A, wherein the result comprises disaster points existing in the newly-added village planning and construction land NCL;
s3-15, comprehensive optimization result
The JSON file processed with Python is returned to the spatially large database.
Preferably, the agricultural land comprises: paddy field, irrigated water land, dry land, orchard, tea garden, other gardens, woodland, shrub woodland, natural pasture land, artificial pasture land, rural road, pool water surface, ditch, facility farming land, field ridge.
Preferably, the unutilized land includes: river water, lake water, coastal water, inland mudflat, glacier and permanent snow, other grasslands, saline-alkali lands, marshlands, sandy lands and bare lands.
Preferably, the construction site includes: village industrial land, village public service land, village residential land, road land and other independent construction land.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
different buffer areas and land use conditions in different areas can be rapidly acquired through image overlapping, if abnormal occupation conditions are found, matching operation is rapidly performed, an abnormal alarm is sent, reasonable planning construction is performed on planned land of villages and small towns, and red line crossing is avoided.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a general schematic of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the invention discloses a method for optimizing and analyzing planned village fruits by using big data, which comprises the following steps:
importing historical prestored land utilization change survey data (FA), village planning result data (FB), four mountain banning area building data (FC), town control planning layer data (FD), traffic planning layer data (FE), power grid planning layer data (FF), culture name village layer data (FG), historical building layer data (FH), cultural relic protection unit layer data (FI), mountain water system green planning layer data (FJ) and geological disaster layer data (FK) into a space large database environment;
secondly, converting the FA and FB coordinate systems (converting the geographical coordinate system into a projection coordinate system) into FA-PCS and FB-PCS;
thirdly, screening out areas FA-PCS-C and FB-PCS-C of village C in FA-PCS and FB-PCS according to village administrative region codes (QSDWDM);
and fourthly, extracting the newly added construction land. In FA-PCS-C, agricultural land (paddy field, irrigated land, dry land, orchard, tea garden, other gardens, woodland, shrub forest land, other forest land, natural grassland, artificial grassland, rural road, pool water surface, ditch, facility agricultural land, field ridge) and unused land (river water surface, lake water surface, coastal water surface, inland tidal flat, glacier and permanent accumulated snow, other grassland, saline-alkali land, marsh land, sand land, bare land) are screened out, and as a result, FA-PCS-C-A, construction land (village industrial land, village public service land, village residential land, public land, other independent construction land) in FB-PCS-C-B, FA-PCS-C-A and FB-PCS-C-B are crossed, obtaining F _ inter, and establishing Field1The method is used for calculating the F _ inter area, and the screening area is larger than 10 square meters and is used as a newly added construction land (NCL);
and fifthly, conflict with the forbidden building areas of four mountains. Using NCL to cut FC, the result layer is FC-A, and adding field FieldFC to calculate FC-A area;
and sixthly, conflict with the town control and regulation map layer. The NCL is intersected with the FD, the result is FD-A, the field FieldFD is added to calculate the area, and the number and the area of the land where the FD-A is located can be obtained;
and seventhly, conflict with the traffic planning map layer. Using NCL to cut FE, wherein the result is FE-A which is a traffic plan existing in the newly added construction land;
and eighthly, conflict with the power grid planning layer. Cutting the FF by using the NCL, wherein the result is FF-A which is the power grid plan existing in the newly added construction land;
and ninth, conflict with the culture name village map layer. Using NCL to cut FG, the result is FG-A, adding a field FieldFG to calculate the area, and obtaining the FG-A area;
and tenthly, conflicting with the historical building map layer. Using NCL to cut FH, wherein the result is FH-A, adding a field FieldFH to calculate the area, and obtaining the FH-A area;
eleven, conflict with the cultural relic protection unit layer. Using NCL to clip FI, wherein the result is FI-A, adding field FieldFI to calculate the area, and obtaining the FI-A area;
and twelfth, conflict with the green planning map layer of the mountain water system.
1) Screening a first-stage branch flow (FJ-1), a second-stage branch flow (FJ-2) and a third-stage branch flow (FJ-3) from the FJ,
2) a100 m BUFFER is established for FJ-1, resulting in FJ-1-BUFFER,
3) establishing a 50m BUFFER area for the FJ-2, wherein the result is FJ-2-BUFFER;
4) establishing a 10m BUFFER area for FJ-3, and obtaining the result as FJ-2-BUFFER;
5) using NCL to crop FJ-1-BUFFER, the result is FJ-1-A, add field FieldFJ1Calculating the area to obtain the FJ-1-A area;
6) using NCL to crop FJ-2-BUFFER, the result is FJ-2-A, add field FieldFJ2Calculating the area to obtain the FJ-2-A area;
thirteen, conflict with the position of the geological disaster. The NCL is used for cutting the FK, and the result is FK-A which is a disaster point existing in the newly added construction land;
fourteen, all results are returned to the large spatial database in a Python processed JSON file.
When abnormality is found in the village planning result display process, analysis is carried out on the red land utilization line, and the method comprises the following steps:
s1, acquiring the basic data of the landed red line, and importing the basic data into a big database;
s2, carrying out ground red line space layer detection by a bottom line conflict detection method;
and S3, calculating the area of the red and ground line by a space approval data monitoring method.
Preferably, the S1 includes:
s1-1, uploading the coordinates of the inflection points of the red land lines to a large spatial database;
and S1-2, analyzing the uploaded inflection point coordinate file into a coordinate set, and calculating the space reference authentication information WKID of the projection coordinate system according to the range of the uploaded coordinate set.
Preferably, the S1 further includes:
s1-3, uploading the analyzed coordinate set and coordinate system to a space big database computing environment;
and S1-4, converting the coordinate set into a space geometric object A which can be used by a space big database computing environment by using Pyspark, analyzing the uploaded inflection point coordinate file into a coordinate set, and forming a projection coordinate system by using the uploaded coordinate set.
Preferably, the S1 includes:
s1-5, performing intersection operation on the space geometric object A and the permanent basic farmland protection area to obtain a result B, if the result B is empty, not calculating the area, otherwise, summing the area of the image spots, storing the result into a JSON file processed by Python, simultaneously issuing the intersection range into a space image layer, performing space control on the ecological protection red line, the permanent basic farmland and the natural protection area, performing space amplification operation according to the fineness of the obtained result, thereby performing global preview of the red-earth line, and then performing space reduction operation, thereby performing detail scanning of the red-earth line.
Preferably, the S2 includes:
s2-1, setting a land use range interval according to a bottom line conflict detection method, importing three layers of an ecological protection red line, a permanent basic farmland and a natural protection area, carrying out land data conflict detection judgment, calculating a corresponding land use conflict area if bottom line conflict occurs, and executing S2-2 if no conflict occurs;
s2-2, in the process of judging the bottom line conflict detection method, extracting the txt format red line file in the server, extracting the land use position and the land use application range, and analyzing by the bottom line conflict detection method.
Preferably, the S3 includes:
s3-1, calculating the area of the red earth line by a space approval data monitoring method, performing intersection operation on the space geometric object A and a specific region to obtain a result C, if the result C is empty, not calculating the area of the red earth line, otherwise, calculating the area of the red earth line, performing grouping area summation according to the specific region type, storing the result in a JSON file processed by Python, and simultaneously issuing the intersected range into a space map layer; the red-earth line calculation is carried out through linear engineering comparison and selection,
s3-2, performing intersection operation on the space geometric object A and a red land line to obtain a result D, if the result D is empty, not calculating the area, otherwise, performing the sum of the areas of the image spots, storing the result into a JSON file processed by Python, and simultaneously issuing the intersection range into a space image layer; and selecting a coverage range according to the layer attribute.
Preferably, the S3 includes:
S-A, if the region type is A natural protection region, extracting A core region of the natural protection region to perform grouping areA summation, extracting the areA of the intersecting land of the core region, and publishing the intersecting range into A space map layer;
S-B, extracting test areas of the natural protection area to sum in groups, extracting the intersecting area of the test areas, and publishing the intersecting range into a space map layer;
and S-C, extracting the buffer areas of the natural protection area to sum the grouped areas, extracting the intersecting area of the buffer areas, and issuing the intersecting range into a space image layer.
Preferably, the S1 includes:
the ground red line basic data comprises: permanent basic farmland protection area, ecological protection red line area, natural protection area and town development boundary area.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A method for optimizing and analyzing planned village fruits by using big data is characterized by comprising the following steps:
s1, importing the historic and prestored village comprehensive planning data and planning drawing layer data into a database, and performing coordinate system conversion on the village comprehensive planning data;
s2, extracting newly added construction land from the village comprehensive planning data after the coordinate system conversion, and calculating the intersection area of the construction land;
and S3, matching and overlapping the data of the planning map layer and the map layer of the newly added construction land to obtain the comprehensive optimization result of the data of the planning map layer.
2. The method according to claim 1, wherein S1 includes:
s1-1, the village comprehensive planning data are village land utilization change survey data FA and village planning result data FB; converting coordinate system of village land utilization change survey data FA and village planned fruit data FB, converting the village land utilization change survey data FA through geographical coordinate system to form village land utilization change projection coordinate system FA-PCS, converting the village planned fruit data FB through geographical coordinate system to form village planned fruit change projection coordinate system FB-PCS,
s1-2, screening the planning region FA-PCS-C of village C in the village land utilization change projection coordinate system FA-PCS according to the village screening standard, and changing the planning region FB-PCS-C of village C in the village planning projection coordinate system FB-PCS.
3. The method according to claim 2, wherein S2 includes:
s2-1, screening and extracting agricultural land and unused land in FA-PCS-C, and using agricultural land and unused land area FA-PCS-C-A of planning area FA-PCS-C of village C in the changed projection coordinate system FA-PCS in village land,
s2-2, screening construction land in FB-PCS-C, and obtaining a construction land area FB-PCS-C-B of a planning area FB-PCS-C of village C in a village planning result change projection coordinate system FB-PCS;
s2-3, intersecting the agricultural land with the unused land area FA-PCS-C-A and the construction land area FB-PCS-C-B to obtain an area overlap layer F _ inter, and establishing an area overlap layer Field1And the method is used for calculating the area of the F _ inter region, and the area of the screening region is larger than a set threshold value and is used as the NCL of the planning construction land of the newly added village.
4. The method for optimized analysis of village planning results according to claim 1, wherein said planning map data pre-stored in history at S1 comprises: the method comprises four mountain prohibited building area map layer data FC, town control regulation map layer data FD, traffic regulation map layer data FE, power grid regulation map layer data FF, culture name and village map layer data FG, historical building map layer data FH, cultural relic protection unit map layer data FI, mountain water system green system regulation map layer data FJ and geological disaster map layer data FK.
5. The method according to claim 4, wherein step S3 includes:
s3-1, performing frame cutting along the four-mountain prohibited area map layer data FC by using the NCL of the newly added village planning construction area to obtain a four-mountain prohibited area result map layer as FC-A, and then newly adding a four-mountain prohibited area field FieldFC to calculate the FC-A area;
s3-2, performing frame cutting along the data FD of the urban control regulation map layer by using NCL (national center for planning and construction) of the newly added village to obtain an urban control regulation result map layer as FD-A, and then calculating the area by newly adding an urban control regulation field FieldFD to obtain the number and the area of a plot where the FD-A is located;
s3-3, performing frame cutting along the traffic planning map layer data FE by using the NCL of the newly added village planning construction land to obtain a traffic planning result map layer which is FE-A, wherein the result comprises traffic planning result data of the NCL of the newly added village planning construction land;
s3-4, performing frame cutting along the power grid planning map layer data FF by using the NCL of the newly added village planning construction land to obtain a power grid planning result map layer FF-A, wherein the result comprises power grid planning result data of the NCL of the newly added village planning construction land;
s3-5, performing border cutting along the cultural nominal village map layer data FG by using the NCL of the newly added village planning construction land to obtain a cultural nominal village result map layer FG-A, and then calculating the FG-A area by using the field FieldFG of the newly added cultural nominal village;
s3-6, performing frame cutting along historical building layer data FH by using NCL (national center for planning construction) of the newly added village to obtain a historical building result layer FH-A, and then calculating the FH-A area by adding a historical building field FieldFH;
s3-7, performing frame cutting along the cultural relic protection unit image layer data FI by using the NCL for newly added village planning construction, obtaining a cultural relic protection unit result image layer as FI-A, and then adding a cultural relic protection unit field FieldFI to calculate the FI-A area.
6. The method according to claim 4, wherein the step S3 further includes:
s3-8, screening a first-level branch FJ-1, a second-level branch FJ-2 and a third-level branch FJ-3 in the green system planning map layer data FJ of the mountain water system respectively;
s3-9, establishing a first BUFFER area for the FJ-1, wherein the result of the first BUFFER area layer is FJ-1-BUFFER;
s3-10, establishing a second BUFFER area for the FJ-2, wherein the result of the layer of the second BUFFER area is FJ-2-BUFFER;
s3-11, a third BUFFER area is established for the FJ-3, and the result of the layer of the third BUFFER area is FJ-3-BUFFER.
7. The method according to claim 6, wherein S3 further includes:
s3-12, performing border clipping along the first BUFFER area layer FJ-1-BUFFER by using the NCL of the newly added village planning construction land to obtain a first BUFFER area result layer FJ-1-A, and then adding a first BUFFER area field FieldFJ1Calculating the area FJ-1-A;
s3-13, performing border clipping along the second BUFFER area layer FJ-2-BUFFER by using the NCL of the newly added village planning construction area to obtain a second BUFFER area result layer FJ-2-A, and then adding a second BUFFER area field FieldFJ2Calculating the area FJ-2-A;
s3-14, performing frame cutting along the geological disaster position map layer data FK by using the newly-added village planning and construction land NCL to obtain a geological disaster position result map layer FK-A, wherein the result comprises disaster points existing in the newly-added village planning and construction land NCL;
s3-15, comprehensive optimization result
The JSON file processed with Python is returned to the spatially large database.
8. The method of claim 1, wherein the agricultural land comprises: paddy field, irrigated water land, dry land, orchard, tea garden, other gardens, woodland, shrub woodland, natural pasture land, artificial pasture land, rural road, pool water surface, ditch, facility farming land, field ridge.
9. The method of claim 1, wherein the unutilized land comprises: river water, lake water, coastal water, inland mudflat, glacier and permanent snow, other grasslands, saline-alkali lands, marshlands, sandy lands and bare lands.
10. The method of claim 1, wherein the construction land comprises: village industrial land, village public service land, village residential land, road land and other independent construction land.
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