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Progressive recognition method for suspected polluted site

An identification method and site technology, applied in the field of data identification, can solve problems that affect decision-making efficiency, time-consuming and labor-intensive, and achieve cost-saving, rapid screening and identification effects

Pending Publication Date: 2021-06-11
京师天启(北京)科技有限公司
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Problems solved by technology

Moreover, the traditional method of identifying contaminated sites relies on on-site investigation and sampling, which is not only time-consuming and labor-intensive, but also seriously affects decision-making efficiency

Method used

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  • Progressive recognition method for suspected polluted site
  • Progressive recognition method for suspected polluted site
  • Progressive recognition method for suspected polluted site

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Embodiment Construction

[0022] The present invention will be described in further detail below in combination with specific embodiments.

[0023] A progressive identification method for suspected polluted sites. First, use big data collection technology to collect data and use web crawlers to crawl the multi-source heterogeneous data on the industrial land published on the Internet, and use big data processing technology to process the multi-source heterogeneous data. Processing fusion processing; data acquisition technology means include various types of structured, semi-structured and unstructured data collected by satellite remote sensing, sensors, radio frequency identification, Internet of Things and mobile platform technology; web crawler, is a A program or script that automatically captures information on the World Wide Web according to certain rules, and gives the crawler an initial URL. The crawler extracts and saves the resources that need to be extracted from the webpage, and at the same ti...

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Abstract

The invention discloses a progressive recognition method for a suspected polluted site. Based on basic attributes, earth surface texture, spatial distribution and other characteristics of current industrial land in China, a big data technology is combined with a remote sensing technology and pollution potential model technical means researched and developed by the company, and the research of progressive identification of suspected polluted sites is developed for the industrial land. The purpose of rapidly screening and distinguishing suspected polluted sites on a large scale is achieved. According to the method, the traditional sampling method based on field investigation in China is optimized, and the high cost generated by field investigation and sampling of suspected pollution is greatly saved. The suspected pollution site result identified by using the method can effectively fill up a suspected pollution site time-space database, and provides beneficial supplement for a management decision department to fully grasp a local suspected pollution site directory.

Description

technical field [0001] The invention relates to the field of data identification, in particular to a progressive identification method for suspected polluted sites. Background technique [0002] With the development of society and economy, the amount of construction land in my country is increasing, and it is showing a trend of wide distribution and increasing potential pollution risks, and it is increasingly showing its harmfulness, endangering the safety of the ecological environment and the quality of people's life. Moreover, the traditional method of identifying contaminated sites relies on on-site investigation and sampling, which is not only time-consuming and labor-intensive, but also seriously affects decision-making efficiency. [0003] With the advent of the era of big data, data has become a basic national strategic resource, which has an important impact on production, consumption and national governance capabilities. The application of big data technology in en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/00G06K9/34G06K9/62G06F16/951
CPCG06Q10/06393G06Q10/0635G06Q50/26G06F16/951G06V20/13G06V10/267G06F18/24G06F18/214
Inventor 周睿杨典华展明旭王彩云朱云翔
Owner 京师天启(北京)科技有限公司
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