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Urban ecological toughness evaluation method based on Internet of Things and big data

A technology of ecological resilience and the Internet of Things, applied in data processing applications, instruments, resources, etc., can solve the problems of low efficiency, time-consuming, inaccurate evaluation results of ecological resilience of target cities, etc., to reduce costs, improve efficiency, and simplify effect of steps

Pending Publication Date: 2022-02-08
深圳自由度科技有限公司 +1
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AI Technical Summary

Problems solved by technology

[0003] Most of the traditional urban ecological assessments take a lot of time to obtain urban ecological data through a lot of manpower, material and financial resources, and then introduce different calculation formulas to calculate the corresponding ecosystem index values, such as the green coverage rate of built-up areas, industrial solid The comprehensive utilization rate of waste or the centralized treatment rate of sewage treatment plants, and then construct the corresponding ecological assessment mathematical model, and introduce the calculated ecosystem index values ​​into the mathematical model to obtain the ecological assessment results of the target city. The evaluation method is inefficient, the steps of urban ecological resilience assessment are cumbersome, and the ecological resilience assessment results of the target city are inaccurate; in view of these problems, the present invention proposes an urban ecological resilience assessment method based on the Internet of Things and big data

Method used

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  • Urban ecological toughness evaluation method based on Internet of Things and big data
  • Urban ecological toughness evaluation method based on Internet of Things and big data
  • Urban ecological toughness evaluation method based on Internet of Things and big data

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Effect test

Embodiment 1

[0057] According to the calculation method contained in the given algorithm model 202, the three cities of Jiangxi Province, Liaoning Province and Henan Province, between 2015 and 2017, the green coverage rate of the built-up area and the per capita park green area of ​​the three cities , 10,000 yuan GDP industrial wastewater discharge rate, 10,000 yuan GDP industrial waste gas discharge rate, comprehensive utilization rate of industrial solid waste, centralized treatment rate of sewage treatment plants, and pollution-free treatment rate of domestic waste; to elaborate on the ecological data index values.

[0058] It should be noted that the calculation methods of the algorithm model 202 are as follows:

[0059] 1. Green coverage rate of built-up areas = (vertical projected area of ​​all green plantings in the city ÷ total area of ​​the city) × 100%; per capita park green area = {urban public green area (square meter) ÷ urban non-agricultural population (person)};

[0060] Exa...

Embodiment 2

[0083] Combining the above Table 1.1, Table 2.2, Table 3.3, Table 4.1 and Table 4.2, and input the index values ​​into the ecological resilience assessment mathematical model, select the target city as Jiangxi, Liaoning or Henan, and its P index value is seven, Bring the seven index values ​​into the ecological resilience evaluation function to calculate the average value of the seven index values ​​in the target city, and then calculate the projection value of the ecological resilience index, among which, the ecological resilience index projection value;

[0084]

[0085] Table 5.5 Grading table of ecological resilience index

[0086] The ecological resilience of the target city is evaluated by comparing the projected values ​​of the ecological resilience index. For specific values, please refer to the table below:

[0087] target city Projection value of ecological resilience index grade Jiangxi 45.28 higher toughness liaoning 48.04 high toug...

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Abstract

The invention discloses an urban ecological toughness evaluation method based on Internet of Things and big data. The method comprises the following steps: constructing a data online monitoring and collection unit, and obtaining the ecological data of a target city in real time; transmitting the ecological data of the target city to an AI chip, and calculating through a big data AI algorithm on the AI chip to form an ecological data index value of the target city; and constructing an ecological toughness evaluation mathematical model, and importing the calculated ecological data index value into the evaluation mathematical model so as to output an urban ecological toughness evaluation result. According to the method, more accurate target city ecological data index values can be automatically and intelligently obtained, accurate, scientific and effective data support is provided for city ecological toughness evaluation, the steps of city ecological toughness evaluation are simplified, the efficiency of city ecological toughness evaluation is improved, and the method is suitable for popularization and application. And the target city ecological toughness evaluation grade can be accurately, quickly and efficiently obtained.

Description

technical field [0001] The invention relates to the technical field of urban ecological resilience assessment, in particular to an urban ecological resilience assessment method based on the Internet of Things and big data. Background technique [0002] Resilient cities refer to cities that can resist disasters with their own capabilities, reduce disaster losses, and rationally allocate resources to quickly recover from disasters. In the long run, cities can learn from past disasters and accidents to improve their adaptability to disasters ; The main areas of urban resilience include economic resilience, social resilience, engineering resilience and ecological resilience; among them, ecological resilience and human systems have an extremely complex interactive coupling relationship. On the one hand, the ecological system is the natural background supporting human urbanization, and There are certain resource constraints on human urbanization, and on the other hand, urbanizatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0637G06Q50/26
Inventor 何康茂薛峰凡宸汪涛黄涛赵启成
Owner 深圳自由度科技有限公司
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