CN110889794A - Statistical method for municipal road land acquisition houses - Google Patents
Statistical method for municipal road land acquisition houses Download PDFInfo
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- CN110889794A CN110889794A CN201910941466.4A CN201910941466A CN110889794A CN 110889794 A CN110889794 A CN 110889794A CN 201910941466 A CN201910941466 A CN 201910941466A CN 110889794 A CN110889794 A CN 110889794A
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- 238000007619 statistical method Methods 0.000 title claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- 238000004140 cleaning Methods 0.000 claims abstract description 4
- 238000011156 evaluation Methods 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 8
- 238000013528 artificial neural network Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 description 6
- 238000012732 spatial analysis Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q90/00—Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing
- G06Q90/20—Destination assistance within a business structure or complex
- G06Q90/205—Building evacuation
Abstract
The invention relates to a statistical method for municipal road land acquisition houses, which comprises the following steps: s1, selecting and determining land acquisition and removal areas according to the actually measured topographic map provided by the surveying and mapping bureau; s2, cleaning the topographic map, removing the non-related map layers, and reserving the house map layers and the annotations thereof; s3, carrying out format conversion on the cleaned topographic map and importing the topographic map into GIS software; s4, detecting the house contour line in GIS software, eliminating isolated line segments, and then performing topology analysis to form a region file; according to the imported house comments, attribute assignment is carried out on the zone files, and an attribute structure for judging whether the house is imposed or not is established in the zone files; and S5, importing the expropriation and removal area and the area files into a space analysis module, carrying out intersection analysis to form an intersection file, and overlapping the original house area files according to the attributes of the intersection file to obtain a result drawing of the house in the expropriation and removal area. The statistics of expropriating and removing the house becomes faster.
Description
Technical Field
The invention relates to the technical field of geographic information processing, in particular to a statistical method for municipal road land acquisition houses.
Background
With the optimization and development of cities, municipal roads are continuously extended to surrounding suburbs, and the construction of the municipal roads faces the removal investment problem of houses in the expropriation areas along the lines. The statistics of the house types and the house areas along the route is an indispensable content in the investment estimation of the feasibility research stage of road engineering design. The existing statistical method marks the house types and areas within the ground wire range one by one according to the latest topographic map, and then classifies and counts.
The existing topographic map in engineering design is generally described by geometric and coordinate features and does not contain attribute features. The existing land acquisition house statistical method is to manually define and measure the area of houses one by one in CAD software, and the method has the disadvantages that when the houses along the line are distributed in a dispersed or more number, a great amount of time is consumed for designers to perform statistics, labels are easy to miss, when the route scheme is changed, the statistics is performed again, and the efficiency is very low.
Disclosure of Invention
The invention aims to provide a municipal road land acquisition house statistical method which can be used for quickly and accurately marking and can be adjusted and modified along with a route scheme.
The above object of the present invention is achieved by the following technical solutions: a statistical method for municipal road land acquisition houses comprises the following steps:
s1, selecting and determining land acquisition and removal areas according to the actually measured topographic map provided by the surveying and mapping bureau;
s2, cleaning the topographic map, removing the non-related map layers, and reserving the house map layers and the annotations thereof;
s3, carrying out format conversion on the cleaned topographic map and importing the topographic map into GIS software;
s4, detecting the house contour line in GIS software, eliminating isolated line segments, and then performing topology analysis to form a region file; according to the imported house comments, attribute assignment is carried out on the zone files, and an attribute structure for judging whether the house is imposed or not is established in the zone files;
and S5, importing the expropriation and removal area and the area files into a space analysis module, carrying out intersection analysis to form an intersection file, and overlapping the original house area files according to the attributes of the intersection file to obtain a result drawing of the house in the expropriation and removal area.
By adopting the technical scheme, the existing topographic map is endowed with attribute characteristics, and the spatial analysis is adopted to mark and count the houses in the land acquisition and removal range of the municipal road, so that the complicated work of counting one by manpower is solved, and the statistics of the land acquisition and removal houses is more rapid; through the intersection analysis of topology and space, the category and the area of the house in the expropriation and removal range can be accurately counted; through preprocessing such as attribute assignment of the topographic map primitives, the cost performance can be achieved, and the statistical range can be adjusted along with the scheme of road route selection.
The invention is further configured to: the method comprises the following steps of establishing a disassembled house evaluation model according to a house price evaluation index system, wherein the steps comprise:
selecting six important indexes which have large influence on the price of the house from the aspects of area factors, house structure factors, house age, the number of family members and the like, and establishing a house price evaluation index system;
and constructing a BP network model for evaluating the house price by using a BP neural network according to the house price evaluation index system so as to obtain the mapping relation between the house market price and the influence.
By adopting the technical scheme, the subjective randomness of the valuation process can be reduced through the house price evaluation index system, so that the valuation result has public confidence, and the efficiency of valuation operation can be improved.
The invention is further configured to: in step S5, the house area and category in the expropriation and removal area are inversely marked on the achievement drawing, and cost statistics is performed to form a removal cost report of the house on the achievement drawing.
By adopting the technical scheme, the house area and the category are inversely marked in the achievement drawing according to the requirement, so that the removal cost statistics of the house in the expropriation removal area is facilitated.
The invention is further configured to: in step 5, different removal cost reports are formed for different route selection schemes, and the route selection scheme is determined according to the removal cost reports.
By adopting the technical scheme, the basis is provided for the road route selection scheme through the removal cost report, and more economical and reasonable road routes can be conveniently selected.
The invention is further configured to: in step S1, attribute assignment preprocessing is performed on the primitive attributes of the measured topographic map, and the land acquisition and removal area is adjusted according to the road route selection scheme.
By adopting the technical scheme, the reusability can be achieved through preprocessing such as attribute assignment of the topographic map primitives, and the like, namely the statistical range can be adjusted along with the scheme of road route selection; the graphic element attributes can be defined according to requirements, so that the method has high flexibility and expandability, and is convenient for investment departments to accurately grasp and control the site of the road investment estimation.
The invention is further configured to: in step S1, the measured topographic map is measured by GPS measurement, drone measurement, or beidou measurement.
In conclusion, the beneficial technical effects of the invention are as follows: by endowing the existing topographic map with attribute characteristics and adopting spatial analysis to mark and count houses in the land acquisition and removal range of the municipal road, the complicated work of counting one by manpower is solved, so that the statistics of the land acquisition and removal houses is more rapid; through the intersection analysis of topology and space, the category and the area of the house in the expropriation and removal range can be accurately counted; through preprocessing such as attribute assignment of the topographic map primitives, the cost performance can be achieved, and the statistical range can be adjusted along with the scheme of road route selection.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
A statistical method for municipal road land acquisition houses is shown in figure 1 and comprises the following steps: s1, selecting and determining land acquisition and removal areas according to the actually measured topographic map provided by the surveying and mapping bureau; s2, cleaning the topographic map, removing the non-related map layers, and reserving the house map layers and the annotations thereof; s3, carrying out format conversion on the cleaned topographic map and importing the topographic map into GIS software; s4, detecting the house contour line in GIS software, eliminating isolated line segments, and then performing topology analysis to form a region file; according to the imported house comments, attribute assignment is carried out on the zone files, and an attribute structure for judging whether the house is imposed or not is established in the zone files; and S5, importing the expropriation and removal area and the area files into a space analysis module, carrying out intersection analysis to form an intersection file, and overlapping the original house area files according to the attributes of the intersection file to obtain a result drawing of the house in the expropriation and removal area.
The land expropriation and removal area can be the land expropriation and removal of the municipal road and can also be the land expropriation and removal of other urban construction. By endowing the existing topographic map with attribute characteristics and adopting spatial analysis to mark and count houses in the land acquisition and removal range of the municipal road, the complicated work of counting one by manpower is solved, so that the statistics of the land acquisition and removal houses is more rapid; through the intersection analysis of topology and space, the category and the area of the house in the expropriation and removal range can be accurately counted; through preprocessing such as attribute assignment of the topographic map primitives, the cost performance can be achieved, and the statistical range can be adjusted along with the scheme of road route selection.
For the formed intersection file, whether the route scheme of the municipal road is modified or not needs to be judged, if yes, the expropriation and removal area is modified, and then step S2 is executed; and if not, obtaining a result drawing. Topology analysis refers to the property of maintaining invariance under continuous change in space; important topological properties include connectivity and compactness. Spatial analysis is a quantitative study of geospatial phenomena, the conventional ability of which is to manipulate spatial data into different forms and extract its underlying information; the spatial analysis capability is a main aspect of distinguishing the geographic information system from a general information system, and is also a main index for evaluating the success of the geographic information system.
The method comprises the following steps of establishing a disassembled house evaluation model according to a house price evaluation index system, wherein the steps comprise: selecting six important indexes which have large influence on the price of the house from the aspects of area factors, house structure factors, house age, the number of family members and the like, and establishing a house price evaluation index system; and constructing a BP network model for evaluating the house price by using a BP neural network according to the house price evaluation index system so as to obtain the mapping relation between the house market price and the influence. The subjective randomness of the valuation process can be reduced through the house price evaluation index system, the valuation result has public confidence, and the efficiency of valuation operation can be improved. The BP neural network is a multi-layer feedforward neural network trained according to an error back propagation algorithm, the algorithm is called as BP algorithm, the basic idea is a gradient descent method, and a gradient search technology is utilized to minimize the mean square error between an actual output value and an expected output value of the network.
In step S5, inversely marking the house area and category in the expropriation and removal area on the achievement drawing, and performing cost statistics to form a removal cost report of the house on the achievement drawing; and the house area and the category are inversely marked in the achievement drawing according to the needs, so that the removal cost statistics of the houses in the expropriation removal area is facilitated. In step 5, different removal cost reports are formed for different road route selection schemes, and the road route selection scheme is determined according to the removal cost reports; the removal cost report provides basis for the road route selection scheme, so that more economical and reasonable road routes can be selected conveniently.
In step S1, performing attribute assignment preprocessing on the primitive attributes of the actually measured topographic map, and adjusting the land acquisition removal area according to the road route selection scheme; the reusability can be achieved through preprocessing such as attribute assignment of the topographic map primitives, and the statistical range can be adjusted along with the scheme of road route selection; the graphic element attributes can be defined according to requirements, so that the method has high flexibility and expandability, and is convenient for investment departments to accurately grasp and control the site of the road investment estimation. In step S1, the measured topographic map is measured by GPS measurement, drone measurement, or beidou measurement.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (6)
1. A statistical method for municipal road land acquisition houses is characterized by comprising the following steps:
s1, selecting and determining land acquisition and removal areas according to the actually measured topographic map provided by the surveying and mapping bureau;
s2, cleaning the topographic map, removing the non-related map layers, and reserving the house map layers and the annotations thereof;
s3, carrying out format conversion on the cleaned topographic map and importing the topographic map into GIS software;
s4, detecting the house contour line in GIS software, eliminating isolated line segments, and then performing topology analysis to form a region file; according to the imported house comments, attribute assignment is carried out on the zone files, and an attribute structure for judging whether the house is imposed or not is established in the zone files;
and S5, importing the expropriation and removal area and the area files into a space analysis module, carrying out intersection analysis to form an intersection file, and overlapping the original house area files according to the attributes of the intersection file to obtain a result drawing of the house in the expropriation and removal area.
2. The statistical method of house according to claim 1, wherein the step of establishing a valuation model of the removed house according to a house valuation index system comprises:
selecting six important indexes which have large influence on the price of the house from the aspects of area factors, house structure factors, house age, the number of family members and the like, and establishing a house price evaluation index system;
and constructing a BP network model for evaluating the house price by using a BP neural network according to the house price evaluation index system so as to obtain the mapping relation between the house market price and the influence.
3. The method of claim 2, wherein in step S5, the house area and category in the land seeking area are inversely marked on the result drawing, and the cost statistics are performed to form a house relocation cost report on the result drawing.
4. The statistical method of house of town road expropriation according to claim 3, wherein in step 5, different road routing schemes are reported to different removal costs, and the road routing scheme is determined according to the removal cost report.
5. The statistical method for the municipal road land-seeking house according to claim 1, wherein in step S1, attribute assignment preprocessing is performed on the primitive attributes of the measured topographic map, and land-seeking removal areas are adjusted according to the road route selection scheme.
6. The statistical method of house of town road land seeking according to claim 1, wherein in step S1, the measured topographic map is measured by GPS, unmanned aerial vehicle or Beidou.
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Cited By (8)
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| CN111475598A (en) * | 2020-04-16 | 2020-07-31 | 四川北宸电力设计咨询有限公司 | Power distribution network comprehensive planning system and method in power engineering design |
| CN111858808A (en) * | 2020-07-17 | 2020-10-30 | 重庆市勘测院 | Automatic evaluation method for topographic map characteristic ground object precision based on massive real measuring points |
| CN111949682A (en) * | 2020-07-02 | 2020-11-17 | 广州仓实信息科技有限公司 | Compensation protocol generation method and device, computer equipment and storage medium |
| CN112765298A (en) * | 2021-01-25 | 2021-05-07 | 浙江省自然资源征收中心 | Smart-removal-based land use graph generation method and device |
| CN113806460A (en) * | 2021-08-19 | 2021-12-17 | 长江勘测规划设计研究有限责任公司 | Reservoir engineering construction land acquisition and material object statistics processing method based on GIS |
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| CN114240124A (en) * | 2021-12-13 | 2022-03-25 | 中国测绘科学研究院 | Traffic travel convenience degree analysis method and device |
| CN115640639A (en) * | 2022-12-22 | 2023-01-24 | 中国建筑第五工程局有限公司 | Urban updating scheme simulation and cost estimation method based on digital urban design |
| CN116032349A (en) * | 2023-03-21 | 2023-04-28 | 国网吉林省电力有限公司信息通信公司 | Early warning information release system based on Beidou satellite and short-distance wireless communication |
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