CN115984496A - Remote sensing image processing and analyzing method and system for building planning - Google Patents
Remote sensing image processing and analyzing method and system for building planning Download PDFInfo
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Abstract
The application discloses a remote sensing image processing and analyzing method for building planning, which comprises the following steps: the method comprises the following steps: the 3D camera on the unmanned aerial vehicle is utilized firstly, shooting is carried out at the high altitude of a city, the 3D camera is utilized to obtain 3D data of the city, in the process of collecting the 3D data, the image marking module can be utilized to mark key planning areas of the building, key shooting is carried out around the marked areas, and the 3D data are obtained. According to the method, the regional change planning is directly carried out in the 3D modeling, the newly-added or reduced cells, subways, hospitals, schools and markets in the region are carried out, the daily real-time people flow data are written into the region of the 3D modeling change planning, the people flow condition can be observed in the model region of the planning change in real time, the upper limit proportion of the real-time people flow and the upper limit proportion of the change region are calculated, the pre-planning test analysis is carried out, and the 3D building planning model condition after the planning change can be judged.
Description
Technical Field
The application relates to the technical field of building planning, in particular to a method and a system for processing and analyzing remote sensing images for building planning.
Background
The present building planning method applied to buildings is that after receiving the instruction of the client, the designer must go to the site for building planning in person to measure on the spot, and match the result of the measurement on the spot with the designed building to draw into a 2D or 3D virtual image file, in order to make the designed building approach to the real image, the client can better experience the appearance of matching the building completed in the future with the surrounding landscape, besides drawing the designed building, the designer usually also draws the scenery corresponding to the real landscape, such as roads, road trees, houses, rivers, etc., at the periphery of the planned building area, and finally plans the completely virtual 3D virtual building, and sends the planning to the client for confirmation.
Patent No. CN201710044690.4, discloses a building planning method, which includes: the main control end obtains a entrusting instruction of the building planning from the client; obtaining the area appointed by the building plan in the entrusting instruction or a live-action image comprising the periphery of the area appointed by the building plan in the entrusting instruction; delivering the live-action image to a back-end for constructing the live-action image into a 3D stereo image model, and constructing a 3D stereo virtual building at specific coordinates of the constructed 3D stereo image model so as to integrate the 3D stereo image model with the live action and the 3D stereo building planning image of the 3D stereo virtual building; and (3) submitting the 3D three-dimensional building planning image formed by the 3D three-dimensional image model containing the real scene and the virtual 3D three-dimensional virtual building to a client for confirmation, finishing building planning if the client confirms that the image is correct, and submitting the image back to a rear manufacturing end if the client rejects the image, and constructing the 3D three-dimensional virtual building again according to the specific coordinates of the 3D three-dimensional image model.
However, in the implementation process of the existing building planning method, building planning is completed only by establishing an urban 3D stereoscopic image model and confirming the model after confirmation by a client, but this method is only a modeling planning method, and cannot perform accurate site selection according to specific data conditions in a planned area and test prediction after building planning is completed, so that building planning has a certain risk, which is unpredictable, and cannot judge, analyze and predict the risk in advance
Content of application
The application aims to provide a remote sensing image processing and analyzing method and system for building planning, and the problems that vehicles often collide in the advancing process and are often scratched by other vehicles when the vehicles are parked in a parking lot, and the scratched vehicles often do not know which vehicles collide, so that some unnecessary losses are caused are solved.
In order to achieve the above purpose, the present application provides the following technical solutions: the remote sensing image processing and analyzing method for building planning comprises the following steps:
the method comprises the following steps: the method comprises the steps that firstly, a 3D camera on an unmanned aerial vehicle is used for shooting at high altitude of a city, the 3D camera is used for obtaining 3D data of the city, in the process of collecting the 3D data, an image marking module can be used for marking a key planning area of the building, key shooting is carried out on the periphery of the marked area, and the 3D data are obtained;
step two: the unmanned aerial vehicle mainly acquires data of scenic spots, residential areas, commercial areas and industrial areas in cities, acquires building distance data, building quantity data, building occupation data and pedestrian flow data in the scenic spots, the residential areas, the commercial areas and the industrial areas, can use the data terminal to perform 3D modeling on a key planning area after transmitting the data to the data terminal, wherein the 3D modeling comprises cells, subways, hospitals, schools and markets, sets upper limits of pedestrian flow in different areas, then places a pedestrian flow sensor in the key planning area, continuously updates the pedestrian flow in the 3D modeling area in real time, calculates the real-time pedestrian flow and the upper limit proportion in the area, and analyzes the proportional data;
step three: according to the real-time updating of different pedestrian volumes in the 3D modeling, the regional change planning can be directly carried out in the 3D modeling, the newly-increased or reduced cells, subways, hospitals, schools and markets in the region are carried out, the daily real-time pedestrian volume data are written into the region of the 3D modeling change planning, the pedestrian flow condition can be observed in the model region for planning change in real time, the real-time pedestrian volume and the upper limit proportion in the change region are calculated, and the pre-planning test analysis is carried out;
step four: the method comprises the steps that an evaluator in a prediction module is used for evaluating building space data, building quantity data, building occupation data and people flow data of a building planning area, whether the area is worth planning or not can be judged through evaluated values, a predictor in the prediction module is used for predicting the probability of problems occurring in the planning area through the evaluated values, and the planning of the area can be analyzed according to the predicted values comprehensively evaluated by the probability.
As an alternative of the technical solution of the present application, by using the method for processing and analyzing remote sensing images for building planning, the system for processing and analyzing remote sensing images based on building planning comprises: the method comprises the following steps: a data terminal;
the output and input end of the data terminal is connected with the output and input end of the detection unmanned aerial vehicle, the surface of the detection unmanned aerial vehicle is provided with a GPS positioning module and a 3D camera, the output and input end of the detection unmanned aerial vehicle is connected with the output and input end of the image acquisition module, the output and input end of the image marking module are connected, and the output and input end of the image marking module are connected with the input end of the data statistics module.
As an alternative of the technical scheme of the application, the data statistics module respectively performs statistics on scenic spot data, residential area data, business area data and industrial area data, and then subdivides the scenic spot data, the residential area data, the business area data and the industrial area data into building interval data, building quantity data, building occupation data and people flow data.
In the technical scheme, data of scenic spots, residential areas, business areas and industrial areas in cities are obtained through an unmanned aerial vehicle, building distance data, building quantity data, building occupation data and people flow data in the scenic spots, the residential areas, the business areas and the industrial areas are obtained, 3D three-dimensional modeling is carried out by utilizing the building distance data, the building quantity data, the building occupation data and the people flow data, the modeling is more accurate than traditional modeling, people flow sensors are placed in key planning areas, people flow in the 3D modeling areas is continuously updated in real time, real-time people flow of different cells, subways, hospitals, schools and markets in the planning areas can be obtained, the real-time people flow and the upper limit proportion in the areas are calculated, and then the proportion data are analyzed to obtain whether the areas are suitable for building planning or not, so that predictive analysis of building planning is carried out.
As an alternative of the technical scheme of the application, the 3D camera can use the data terminal to perform 3D modeling of the city after acquiring the 3D data, and is made according to the building distance data, the building quantity data, the building occupation data and the people flow data during 3D modeling.
In the technical scheme, the regional change planning is directly carried out in the 3D modeling, the newly increased or reduced cells, subways, hospitals, schools and markets in the region are carried out, the daily real-time pedestrian volume data are written into the region of the 3D modeling change planning, the pedestrian flow condition can be observed in the model region of the planning change in real time, the real-time pedestrian volume and the upper limit proportion in the change region are calculated, the pre-planning test analysis is carried out, and the 3D building planning model condition after the planning change can be judged.
As an alternative of the technical solution of the present application, an output of the data statistics module is connected to an input of a prediction module, and the prediction module includes a predictor and an evaluator.
In the technical scheme, the evaluator in the prediction module is used for evaluating the building space data, the building quantity data, the building occupation data and the people flow data of the building planning area, and the area can be judged whether to be worth planning or not through the evaluated values.
As an alternative of the technical solution of the present application, the output and input end of the data terminal is connected with the output and input end of the people flow sensor.
As an optional scheme of the technical scheme, the output end of the data terminal is connected with the input end of the visual LED screen.
Compared with the prior art, the beneficial effects of this application are as follows:
1. according to the method, scenic spots, residential areas, business areas and industrial area data in cities are obtained through unmanned aerial vehicles, the scenic spots, the residential areas, the building space data, the building quantity data, the building land occupation data and the people flow data in the business areas and the industrial areas are obtained, 3D three-dimensional modeling is carried out by utilizing the building space data, the building quantity data, the building land occupation data and the people flow data, the method is more accurate than traditional modeling, people flow sensors are placed in key planning areas, people flow in the 3D modeling areas is continuously updated in real time, real-time people flow of different districts, subways, hospitals, schools and markets in the planning areas can be obtained, real-time people flow and the proportion of upper limits in the areas are calculated, and then the proportion data are analyzed, whether building planning is suitable or not in the areas can be obtained, and accordingly prediction analysis of the building planning is carried out.
2. According to the method, the regional change planning is directly carried out in the 3D modeling, the newly-added or reduced cells, subways, hospitals, schools and markets in the region are carried out, the daily real-time people flow data are written into the region of the 3D modeling change planning, the people flow condition can be observed in the model region of the planning change in real time, the upper limit proportion of the real-time people flow and the upper limit proportion of the change region are calculated, the pre-planning test analysis is carried out, and the 3D building planning model condition after the planning change can be judged.
3. The method and the device have the advantages that the evaluator in the prediction module is used for evaluating the building space data, the building quantity data, the building occupation data and the people flow data of the building planning area, whether the area is worth planning or not can be judged through the evaluated numerical values, the probability of problems occurring in the planning area can be predicted through the evaluated numerical values by using the predictor in the prediction module, the planning of the area can be analyzed according to the predicted numerical values of probability comprehensive evaluation, and whether the area is suitable for building planning or not is judged.
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Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of the non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic flow chart of a method for processing and analyzing remote sensing images for building planning according to the present invention;
fig. 2 is a schematic flow chart of the remote sensing image processing and analyzing system for building planning of the present invention.
Detailed Description
Referring to fig. 1, the present application provides a technical solution: the remote sensing image processing and analyzing method for building planning comprises the following steps:
the method comprises the following steps: firstly, shooting at high altitude of a city by using a 3D camera on an unmanned aerial vehicle, acquiring 3D data of the city by using the 3D camera, marking a building key planning area by using an image marking module in the acquisition process of the 3D data, and performing key shooting around the marked area to acquire the 3D data;
step two: the unmanned aerial vehicle mainly acquires data of scenic spots, residential areas, business areas and industrial areas in cities, acquires building space data, building quantity data, building occupation data and people flow data in the scenic spots, the residential areas, the business areas and the industrial areas, can use the data terminal to perform 3D modeling on a key planning area after transmitting the data to the data terminal, the 3D modeling comprises cells, subways, hospitals, schools and markets, sets upper limits of people flow in different areas, places a people flow sensor in the key planning area, continuously updates the people flow in the 3D modeling area in real time, calculates the proportion of the real-time people flow and the upper limits in the areas, and analyzes the proportion data;
step three: according to real-time updating of different pedestrian volumes in 3D modeling, the regional change planning can be directly carried out in the 3D modeling, newly adding or reducing of cells, subways, hospitals, schools and markets in the region are carried out, real-time pedestrian volume data every day are written into the region of the 3D modeling change planning, the pedestrian flow condition can be observed in the model region of the planning change in real time, the upper limit proportion of the real-time pedestrian volume and the change region is calculated, and pre-planning test analysis is carried out;
step four: the method comprises the steps that an evaluator in a prediction module is used for evaluating building space data, building quantity data, building occupation data and people flow data of a building planning area, whether the area is worth planning or not can be judged through evaluated values, a predictor in the prediction module is used for predicting the probability of problems occurring in the planning area through the evaluated values, and the planning of the area can be analyzed according to the predicted values comprehensively evaluated by the probability.
Referring to fig. 2, the method for processing and analyzing the remote sensing image for building planning, based on the system for processing and analyzing the remote sensing image for building planning, includes: the method comprises the following steps: a data terminal;
the output and input end of the data terminal is connected with the output and input end of the detection unmanned aerial vehicle, the surface of the detection unmanned aerial vehicle is provided with a GPS positioning module and a 3D camera, the output and input end of the detection unmanned aerial vehicle is connected with the output and input end of an image acquisition module, the output and input end of the image acquisition module is connected with the output and input end of an image marking module, the output end of the image marking module is connected with the input end of a data statistics module, the data statistics module respectively performs statistics on scenic spot data, residential area data, commercial area data and industrial area data, and then subdivides the scenic spot data, residential area data, commercial area data and industrial area data into building interval data, building quantity data, building occupation data and people flow data, and the scenic spot data, the residential area data, the commercial area data and the industrial area data in a city are obtained through the unmanned aerial vehicle, the method comprises the steps of obtaining building space data, building quantity data, building occupation data and people flow data in scenic spots, residential areas, business areas and industrial areas, carrying out 3D modeling by utilizing the building space data, the building quantity data, the building occupation data and the people flow data, wherein the modeling is more accurate than the traditional modeling, placing people flow sensors in key planning areas, continuously updating the people flow in the 3D modeling areas in real time, obtaining the real-time people flow of different communities, subways, hospitals, schools and markets in the planning areas, calculating the real-time people flow and the upper limit proportion in the areas, analyzing the proportion data, and obtaining whether the areas are suitable for building planning or not, thereby carrying out predictive analysis of the building planning.
Referring to fig. 2, after acquiring 3D data, a 3D camera can use a data terminal to perform 3D modeling of a city, when performing 3D modeling, the 3D camera is manufactured according to building distance data, building quantity data, building occupation data and traffic data, the regional change plan is directly performed in the 3D modeling, the increase or decrease of cells, subways, hospitals, schools and markets in a region is performed, daily real-time traffic data is written into the region of the 3D modeling change plan, the traffic condition can be observed in real time in the model region of the planning change, the real-time traffic and the upper limit proportion in the change region are calculated, pre-planning test analysis is performed, and the 3D building planning model condition after the planning change can be judged.
Referring to fig. 2, an output end of the data statistics module is connected to an input end of the prediction module, the prediction module includes a predictor and an evaluator, an output and an input end of the data terminal are connected to an output and an input end of the people flow sensor, building distance data, building quantity data, building occupation data and people flow data of a building planning area are evaluated by the evaluator in the prediction module, and whether the area is worth planning or not can be judged by the evaluated value, and the probability of a problem occurring in the planning area can be predicted by the predictor in the prediction module through the evaluated value, and the planning of the area can be analyzed according to the value comprehensively evaluated by the predicted probability, and whether the area is suitable for building planning or not can be judged.
Referring to fig. 2, the output end of the data terminal is connected to the input end of the visual LED screen.
Claims (7)
1. The remote sensing image processing and analyzing method for building planning comprises the following steps:
the method comprises the following steps: the method comprises the steps that firstly, a 3D camera on an unmanned aerial vehicle is used for shooting at high altitude of a city, the 3D camera is used for obtaining 3D data of the city, in the process of collecting the 3D data, an image marking module can be used for marking a key planning area of the building, key shooting is carried out on the periphery of the marked area, and the 3D data are obtained;
step two: the unmanned aerial vehicle mainly acquires data of scenic spots, residential areas, business areas and industrial areas in cities, acquires building space data, building quantity data, building occupation data and people flow data in the scenic spots, the residential areas, the business areas and the industrial areas, can use the data terminal to perform 3D modeling on a key planning area after transmitting the data to the data terminal, the 3D modeling comprises cells, subways, hospitals, schools and markets, sets upper limits of people flow in different areas, places a people flow sensor in the key planning area, continuously updates the people flow in the 3D modeling area in real time, calculates the proportion of the real-time people flow and the upper limits in the areas, and analyzes the proportion data;
step three: according to the real-time updating of different pedestrian volumes in the 3D modeling, the regional change planning can be directly carried out in the 3D modeling, the newly-increased or reduced cells, subways, hospitals, schools and markets in the region are carried out, the daily real-time pedestrian volume data are written into the region of the 3D modeling change planning, the pedestrian flow condition can be observed in the model region for planning change in real time, the real-time pedestrian volume and the upper limit proportion in the change region are calculated, and the pre-planning test analysis is carried out;
step four: the method comprises the steps that an evaluator in a prediction module is used for evaluating building space data, building quantity data, building occupation data and people flow data of a building planning area, whether the area is worth planning or not can be judged through evaluated values, a predictor in the prediction module is used for predicting the probability of problems occurring in the planning area through the evaluated values, and the planning of the area can be analyzed according to the predicted values comprehensively evaluated by the probability.
2. The method for processing and analyzing remote sensing images for building planning, characterized in that, by using the method for processing and analyzing remote sensing images for building planning described in claim 1, the system for processing and analyzing remote sensing images for building planning is as follows: the method comprises the following steps: a data terminal;
the output and input end of the data terminal is connected with the output and input end of the detection unmanned aerial vehicle, the surface of the detection unmanned aerial vehicle is provided with a GPS positioning module and a 3D camera, the output and input end of the detection unmanned aerial vehicle is connected with the output and input end of the image acquisition module, the output and input end of the image marking module are connected, and the output and input end of the image marking module are connected with the input end of the data statistics module.
3. The remote sensing image processing and analyzing system for building planning according to claim 2, wherein: the data statistics module is used for respectively carrying out statistics on scenic spot data, residential area data, business area data and industrial area data, and subdividing the scenic spot data, the residential area data, the business area data and the industrial area data into building distance data, building quantity data, building occupation data and people flow data.
4. The remote sensing image processing and analyzing system for building planning according to claim 2, wherein: the 3D camera can utilize the data terminal to carry out 3D modeling of a city after acquiring 3D data, and is manufactured according to building distance data, building quantity data, building occupation data and people flow data during 3D modeling.
5. The remote sensing image processing and analyzing system for building planning according to claim 2, wherein: the output end of the data statistics module is connected with the input end of the prediction module, and the prediction module comprises a predictor and an evaluator.
6. The remote sensing image processing and analyzing system for building planning based on claim 2, wherein: and the output and input end of the data terminal is connected with the output and input end of the people flow sensor.
7. The remote sensing image processing and analyzing system for building planning according to claim 2, wherein: and the output end of the data terminal is connected with the input end of the visual LED screen.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104484327A (en) * | 2014-10-09 | 2015-04-01 | 上海杰图天下网络科技有限公司 | Project environment display method |
| CN106023044A (en) * | 2016-08-03 | 2016-10-12 | 西安科技大学 | Ecological city planning system |
| CN107016720A (en) * | 2017-01-19 | 2017-08-04 | 江俊昇 | Building plans method |
| CN109858176A (en) * | 2019-02-22 | 2019-06-07 | 安徽省川佰科技有限公司 | City threedimensional model based on high-altitude photo acquisition technique constructs system |
| CN111292416A (en) * | 2018-02-23 | 2020-06-16 | 张栩晨 | Ecological city planning system |
| CN113177318A (en) * | 2021-04-30 | 2021-07-27 | 重庆天智慧启科技有限公司 | Urban planning model generation system and method |
| CN114329895A (en) * | 2021-11-29 | 2022-04-12 | 王立男 | Urban planning model generation system and method |
-
2022
- 2022-12-28 CN CN202211698151.XA patent/CN115984496A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104484327A (en) * | 2014-10-09 | 2015-04-01 | 上海杰图天下网络科技有限公司 | Project environment display method |
| CN106023044A (en) * | 2016-08-03 | 2016-10-12 | 西安科技大学 | Ecological city planning system |
| CN107016720A (en) * | 2017-01-19 | 2017-08-04 | 江俊昇 | Building plans method |
| CN111292416A (en) * | 2018-02-23 | 2020-06-16 | 张栩晨 | Ecological city planning system |
| CN109858176A (en) * | 2019-02-22 | 2019-06-07 | 安徽省川佰科技有限公司 | City threedimensional model based on high-altitude photo acquisition technique constructs system |
| CN113177318A (en) * | 2021-04-30 | 2021-07-27 | 重庆天智慧启科技有限公司 | Urban planning model generation system and method |
| CN114329895A (en) * | 2021-11-29 | 2022-04-12 | 王立男 | Urban planning model generation system and method |
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