Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Urban ecological safety early warning method based on PSR model

An ecological security and urban technology, applied in the direction of neural learning methods, biological neural network models, character and pattern recognition, etc., can solve the problems of small scope of application and small scope of data, so as to improve objectivity, accuracy, The effect of expanding your app's reach

Pending Publication Date: 2021-12-10
SHANGHAI NORMAL UNIVERSITY
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This invention is only aimed at water ecological security, and the scope of data is relatively small. It uses remote sensing big data monitoring. Many factors in urban life cannot be obtained by this method, and the scope of application of this invention is small.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban ecological safety early warning method based on PSR model
  • Urban ecological safety early warning method based on PSR model
  • Urban ecological safety early warning method based on PSR model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] This embodiment mainly introduces the basic steps of a PSR model-based urban ecological security early warning method.

[0053] Please refer to figure 1 , figure 1 It is a schematic flow chart of a PSR model-based urban ecological security early warning method provided by the present invention, which shows a PSR model-based urban ecological security early warning method, comprising the following steps:

[0054] Step 1: Estimate and investigate the training sample data, prior data and data to be simulated of the PSR model of each city in the urban agglomeration based on the remote sensing image data. The training sample data is expressed as matrix A, and the simulated data is expressed as matrix X;

[0055] Step 2: preprocessing of training sample data, prior data and data to be simulated;

[0056] Step 3: Urban ecological security early warning model training;

[0057] Step 4: Use the trained model and the data set to be simulated to calculate the results of the tren...

Embodiment 2

[0079] Based on the above-mentioned embodiment 1, this embodiment mainly introduces an application example of step 1 of the urban ecological security early warning method based on the PSR model.

[0080] Take the Yangtze River Delta urban agglomeration (including 16 cities: Shanghai, Nanjing, Wuxi, Changzhou, Suzhou, Nantong, Yangzhou, Zhenjiang, Taizhou, Hangzhou, Ningbo, Jiaxing, Huzhou, Shaoxing, Zhoushan, Taizhou) as an example, covering an area of ​​about 110,800 km 2 .

[0081] Step 1, data collection, includes:

[0082] S101 Collecting training sample data.

[0083] Among the three aspects of urban ecological security, including natural factors, social factors and economic factors, the pressure, state and response data were estimated based on remote sensing image data, and 29 categories were collected from 2005 to 2012, a total of 8 years The data, represented as a matrix A:

[0084]

[0085] Matrix A c a in nmcThe element represents the nth factor data of the ...

Embodiment 3

[0103] Based on the above-mentioned embodiment 2, this embodiment mainly introduces an application example of step 2 of the urban ecological security early warning method based on the PSR model.

[0104] Step 2, data preprocessing, including:

[0105] S201 Comprehensive arrangement of prior data. The past years of ecological security data have been collected from scholars' scientific research papers, and converted into ecological security early warning coefficients according to unified standards. The "general" degree of ecological security is expressed as a relative value "3", and the ecological security of other regions is judged according to the following criteria according to the absolute value:

[0106]

[0107] The sorted prior data is expressed as a matrix V, namely:

[0108]

[0109] Among them, the element v in the matrix V cj Indicates the ecological security early warning coefficient of the c-th city in the j-year, the first year in the prior data. Please r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an urban ecological safety early warning method based on a PSR model. The method comprises the following steps: 1) according to remote sensing image data, estimating and investigating training sample data, prior data and to-be-simulated data of the PSR model of each city in asurvey urban agglomeration on site; 2) preprocessing the training sample data, the prior data and the to-be-simulated data; 3) training an urban ecological safety early warning model; 4) simulating an urban ecological safety level result and a time-varying trend by using the trained model and the to-be-simulated data set; and 5) according to the city multi-year ecological safety trend line, carrying out ecological safety early warning on the city tending to be dangerous. Based on the PSR model, result simulation of various data can be carried out at the same time, the comprehensiveness of urban ecological safety early warning is improved, the PSR model is combined with machine learning, and factors affecting urban ecological safety can be rapidly obtained.

Description

technical field [0001] The invention relates to the field of urban ecological security, in particular to a PSR model-based early warning method for urban ecological security. Background technique [0002] Ecological security is based on environmental security. A safe ecological environment provides human beings with health, necessary resources, basic rights and social order, enabling human beings to have the ability to adapt to environmental changes, including natural security, social security and economic security. Ecological security research is to analyze and evaluate natural and semi-natural ecosystems from the perspective of natural resource development and human living environment identification. Cities have relatively dense crowds, houses, and transportation networks, and are characterized by compact spatial organization, close economic activities, and a high degree of urbanization with other cities. The city's economic development has played an important role in the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62G06N3/04G06N3/08
CPCG06Q10/0635G06Q50/26G06N3/08G06N3/048G06N3/045G06F18/214Y02A30/60
Inventor 孙海情李巍岳
Owner SHANGHAI NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com