CN114140289A - Smart city planning system based on satellite remote sensing technology - Google Patents
Smart city planning system based on satellite remote sensing technology Download PDFInfo
- Publication number
- CN114140289A CN114140289A CN202111118012.0A CN202111118012A CN114140289A CN 114140289 A CN114140289 A CN 114140289A CN 202111118012 A CN202111118012 A CN 202111118012A CN 114140289 A CN114140289 A CN 114140289A
- Authority
- CN
- China
- Prior art keywords
- data
- remote sensing
- satellite remote
- urban
- city
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 39
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims abstract description 6
- 238000013499 data model Methods 0.000 claims abstract description 6
- 238000003062 neural network model Methods 0.000 claims description 5
- 238000001556 precipitation Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
Images
Classifications
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Educational Administration (AREA)
- Biophysics (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a smart city planning system based on a satellite remote sensing technology.A ground server acquires urban satellite remote sensing data, the server arranges the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, establishes data models of urban population density, traffic flow, population residence time and the like, analyzes the data of the urban population density, the traffic flow, the population residence time and the like in different time periods of a city by using the data analysis function of the server, compares the difference of the characteristics of the remote sensing image data with the previous remote sensing image data to form an urban data database, analyzes detection data, obtains the existing requirements of the city, plans and constructs, and analyzes the feasibility of the urban data. The invention has the advantages that: the intelligent city building method is characterized in that the aim of building the intelligent city is fulfilled according to the steps of scientifically collecting data, processing data and utilizing data.
Description
Technical Field
The invention relates to the technical field of smart city systems, in particular to a smart city planning system based on a satellite remote sensing technology.
Background
The satellite remote sensing technology is a comprehensive scientific technology, integrates achievements of disciplines such as space, electronics, optics, computer communication, geoscience and the like, and is a main component of 3S (RS, GIS and GPS) technology. Satellite remote sensing uses an artificial satellite as a platform, and the satellite can be divided into a stationary satellite (such as a stationary meteorological satellite and a stationary communication satellite) and a polar orbit satellite according to the relative position relationship between the satellite as the platform and the earth.
The smart city (SmartCity) is based on the application of new-generation information technologies such as cloud computing, internet of things, mobile internet, big data and the like, and is characterized by realizing comprehensive perception, interconnection and intercommunication and intelligent information utilization of people to people, things to things and things to people in the city, thereby realizing the advanced city development concept with the goals of efficient government management, convenient and fast civil service and sustainable economic development.
The remote sensing technology is combined with the construction of the smart city, so that the potential value of the remote sensing technology can be better utilized, and the working progress of the construction of the smart city can be further promoted.
Disclosure of Invention
In order to solve the various problems, the invention provides a smart city planning system based on a satellite remote sensing technology.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a smart city planning system based on satellite remote sensing technology comprises the following steps:
the method comprises the following steps: the ground server acquires urban satellite remote sensing data, the server sorts the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, and establishes data models of urban population density, traffic flow, population residence time and the like;
step two: comparing the data of population density, traffic flow, population residence time and the like of the cities in different time periods by using the data analysis function of the server, and comparing the difference between the characteristics of the remote sensing image data and the previous remote sensing image data to form a city data database;
step three: sorting out the data difference of the second step, and defining a first change level, a second change level and a third change level according to the specific difference;
step four: performing on-site detection according to the sequence of the first change level, the second change level and the third change level, wherein the detection mode can adopt one of unmanned aerial vehicle detection, on-site access detection and model analysis detection to obtain detection data;
step five: and analyzing the detection data to obtain the existing requirements of the city, planning and constructing, and analyzing the feasibility of the city.
Preferably, the server is connected with a computer with a neural network model system.
Preferably, when analyzing feasibility in the fifth step, factors such as urban precipitation, latitude, population density and the like need to be combined.
Preferably, the detection data in the fourth step needs to be averaged by multiple detections.
Compared with the prior art, the invention has the advantages that: the invention combines the satellite remote sensing technology with the smart city planning, achieves the purpose of building the smart city according to the scientific steps of collecting data, processing data and utilizing data, and can carry out planning and building more efficiently.
Drawings
Fig. 1 is a schematic flow chart of a smart city planning system based on satellite remote sensing technology.
Detailed Description
The present invention will be described in further detail below.
Example 1
A smart city planning system based on satellite remote sensing technology comprises the following steps:
the method comprises the following steps: the ground server acquires urban satellite remote sensing data, the server sorts the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, and establishes data models of urban population density, traffic flow, population residence time and the like;
step two: comparing the data of population density, traffic flow, population residence time and the like of the cities in different time periods by using the data analysis function of the server, and comparing the difference between the characteristics of the remote sensing image data and the previous remote sensing image data to form a city data database;
step three: sorting out the data difference of the second step, and defining a first change level, a second change level and a third change level according to the specific difference;
step four: detecting on the spot according to the sequence of the first change level, the second change level and the third change level, wherein the detection mode can adopt unmanned aerial vehicle detection to obtain detection data;
step five: and analyzing the detection data to obtain the existing requirements of the city, planning and constructing, and analyzing the feasibility of the city.
The server is connected with a computer with a neural network model system.
And in the fifth step, factors such as precipitation, latitude, population density and the like of a city need to be combined when feasibility is analyzed.
The detection data in the fourth step needs to be averaged by multiple detections.
Example 2
A smart city planning system based on satellite remote sensing technology comprises the following steps:
the method comprises the following steps: the ground server acquires urban satellite remote sensing data, the server sorts the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, and establishes data models of urban population density, traffic flow, population residence time and the like;
step two: comparing the data of population density, traffic flow, population residence time and the like of the cities in different time periods by using the data analysis function of the server, and comparing the difference between the characteristics of the remote sensing image data and the previous remote sensing image data to form a city data database;
step three: sorting out the data difference of the second step, and defining a first change level, a second change level and a third change level according to the specific difference;
step four: performing field detection according to the sequence of the first change level, the second change level and the third change level, wherein the detection mode can adopt field access detection to obtain detection data;
step five: and analyzing the detection data to obtain the existing requirements of the city, planning and constructing, and analyzing the feasibility of the city.
The server is connected with a computer with a neural network model system.
And in the fifth step, factors such as precipitation, latitude, population density and the like of a city need to be combined when feasibility is analyzed.
The detection data in the fourth step needs to be averaged by multiple detections.
Example 3
A smart city planning system based on satellite remote sensing technology comprises the following steps:
the method comprises the following steps: the ground server acquires urban satellite remote sensing data, the server sorts the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, and establishes data models of urban population density, traffic flow, population residence time and the like;
step two: comparing the data of population density, traffic flow, population residence time and the like of the cities in different time periods by using the data analysis function of the server, and comparing the difference between the characteristics of the remote sensing image data and the previous remote sensing image data to form a city data database;
step three: sorting out the data difference of the second step, and defining a first change level, a second change level and a third change level according to the specific difference;
step four: performing field detection according to the sequence of the first change level, the second change level and the third change level, wherein the detection mode can adopt model analysis detection to obtain detection data;
step five: and analyzing the detection data to obtain the existing requirements of the city, planning and constructing, and analyzing the feasibility of the city.
The server is connected with a computer with a neural network model system.
And in the fifth step, factors such as precipitation, latitude, population density and the like of a city need to be combined when feasibility is analyzed.
The detection data in the fourth step needs to be averaged by multiple detections.
The present invention and the embodiments thereof have been described above, but the embodiment shown is only one of the embodiments of the present invention, and the actual configuration is not limited to this. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. The utility model provides a wisdom city planning system based on satellite remote sensing technique which characterized in that: the method comprises the following steps:
the method comprises the following steps: the ground server acquires urban satellite remote sensing data, the server sorts the satellite remote sensing data according to a preset time clue, acquires urban people-to-people, object-to-object, people-to-object data and urban satellite remote sensing image data, preprocesses the satellite remote sensing data, and establishes data models of urban population density, traffic flow, population residence time and the like;
step two: comparing the data of population density, traffic flow, population residence time and the like of the cities in different time periods by using the data analysis function of the server, and comparing the difference between the characteristics of the remote sensing image data and the previous remote sensing image data to form a city data database;
step three: sorting out the data difference of the second step, and defining a first change level, a second change level and a third change level according to the specific difference;
step four: performing on-site detection according to the sequence of the first change level, the second change level and the third change level, wherein the detection mode can adopt one of unmanned aerial vehicle detection, on-site access detection and model analysis detection to obtain detection data;
step five: and analyzing the detection data to obtain the existing requirements of the city, planning and constructing, and analyzing the feasibility of the city.
2. The smart city planning system based on satellite remote sensing technology according to claim 1, characterized in that: the server is connected with a computer with a neural network model system.
3. The smart city planning system based on satellite remote sensing technology according to claim 1, characterized in that: and in the fifth step, factors such as precipitation, latitude, population density and the like of a city need to be combined when feasibility is analyzed.
4. The smart city planning system based on satellite remote sensing technology according to claim 1, characterized in that: the detection data in the fourth step needs to be averaged by multiple detections.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111118012.0A CN114140289A (en) | 2021-09-22 | 2021-09-22 | Smart city planning system based on satellite remote sensing technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111118012.0A CN114140289A (en) | 2021-09-22 | 2021-09-22 | Smart city planning system based on satellite remote sensing technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114140289A true CN114140289A (en) | 2022-03-04 |
Family
ID=80394014
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111118012.0A Pending CN114140289A (en) | 2021-09-22 | 2021-09-22 | Smart city planning system based on satellite remote sensing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114140289A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819852A (en) * | 2022-05-24 | 2022-07-29 | 黄小兵 | Logistics planning system and method for smart city |
-
2021
- 2021-09-22 CN CN202111118012.0A patent/CN114140289A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819852A (en) * | 2022-05-24 | 2022-07-29 | 黄小兵 | Logistics planning system and method for smart city |
| CN114819852B (en) * | 2022-05-24 | 2022-11-22 | 深圳市神州龙智慧城市科技有限公司 | Logistics planning system and method for smart city |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113065000B (en) | Multisource heterogeneous data fusion method based on geographic entity | |
| US11521022B2 (en) | Semantic state based sensor tracking and updating | |
| CN106470216A (en) | A kind of Content Management System based on information sharing, interaction | |
| CN115563680A (en) | Digital twin object processing method and system | |
| CN114065364B (en) | Urban engineering planning method and system based on unmanned aerial vehicle remote sensing mapping | |
| CN112749825A (en) | Method and device for predicting destination of vehicle | |
| CN111190982A (en) | Shared bicycle management method and system based on big data | |
| CN113762044A (en) | Road recognition method, road recognition device, computer equipment and storage medium | |
| CN114626169A (en) | Traffic network optimization method, device, equipment, readable storage medium and product | |
| CN114179829A (en) | Multi-end cooperative vehicle driving method, device, system and medium | |
| Liu et al. | The status and challenges of high precision map for automated driving | |
| CN114140289A (en) | Smart city planning system based on satellite remote sensing technology | |
| CN117079148B (en) | Urban functional area identification method, device, equipment and medium | |
| Wu et al. | A flood-discharge-based spatio-temporal diffusion method for multi-target traffic hotness construction from trajectory data | |
| CN110298253B (en) | Urban building virtual display method and system based on population big data | |
| Hong et al. | Mapping built environments from UAV imagery: a tutorial on mixed methods of deep learning and GIS | |
| CN104794164A (en) | Method for recognizing settlement parking spaces meeting social parking requirement on basis of open source data | |
| Yao et al. | Trip segmentation and mode detection for human mobility data | |
| Cerqueira et al. | Integrative analysis of traffic and situational context data to support urban mobility planning | |
| Barberi et al. | BIM applied to intelligent transport systems | |
| CN112732446B (en) | Task processing method and device and storage medium | |
| CN115841762A (en) | Unmanned vehicle control method, unmanned vehicle control system and unmanned vehicle | |
| Guo et al. | Research on optimization model of multisource traffic information collection combination based on genetic algorithm | |
| Ko et al. | Smart City Service Analysis Based on Geospatial Information Technology Life Cycle | |
| Wu et al. | Review and Analysis on Trajectory Big Data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |