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

VOCs emission source oil storage tank accurate identification method based on satellite remote sensing

A technology of satellite remote sensing and source oil storage tanks, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as difficult discovery and unified management, high randomness of emission intensity, and difficulty in comprehensiveness, etc., to achieve Increased accuracy, low cost, and reduced basic work

Pending Publication Date: 2021-12-14
CHINESE RES ACAD OF ENVIRONMENTAL SCI +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are a large number of these oil tanks and they are widely distributed, and the emission intensity is relatively random. It is difficult to find all of them and manage them in a unified manner. At present, it is mainly realized through information collection and manual investigation, which not only requires a lot of manpower and material resources, but also is difficult to be comprehensive and accurate.

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
  • VOCs emission source oil storage tank accurate identification method based on satellite remote sensing
  • VOCs emission source oil storage tank accurate identification method based on satellite remote sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawing:

[0037] According to the present invention, a method for accurately identifying VOCs emission source oil storage tanks based on satellite remote sensing, the implementation steps are as follows:

[0038] 1. Take Gaofen-2 satellite as an example to obtain remote sensing data in the monitoring area;

[0039] 2. Remote sensing image data processing.

[0040] The remote sensing image data processing steps are as follows:

[0041] 1) Radiation calibration, which converts the recorded original DN value into the surface reflectance (or radiance value) of the outer layer of the atmosphere, which can effectively eliminate the error of the sensor itself and determine the accurate radiation value at the entrance of the sensor.

[0042] 2) Atmospheric correction. Atmospheric correction means that the total radiance of the ground target finally measured by the sensor is not a reflectio...

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 a VOCs emission source oil storage tank accurate identification method based on satellite remote sensing. The method comprises the following steps: (1) acquiring an image with an oil tank in a remote sensing image through a satellite; (2) processing remote sensing image data with an oil tank in the acquired remote sensing images; (3) acquiring an image with the oil tank in the remote sensing images, and performing oil tank sample marking on the acquired image; (4) extracting the marked oil tank sample, and establishing a deep learning model by using a neural network; and (5) training the oil tank identification network by using the marked data, carrying out multiple times of training and optimizing the oil tank identification network, and realizing refined identification and management on the oil tank of the VOCs emission source which is distributed dispersedly by combining a satellite remote sensing monitoring technology with an air pollution enterprise. The method has the characteristics of low cost and high efficiency, effectively serves for precise pollution control of ozone pollution, and provides important technical support for environmental protection departments.

Description

technical field [0001] The invention is a method for accurately identifying VOCs emission source oil storage tanks based on satellite remote sensing. Background technique [0002] In recent years, my country's air pollution has made staged progress. The concentration of PM2.5 has dropped significantly, and the number of good days has generally increased. However, the concentration of ozone has risen instead of falling, showing a trend of increasing year by year, and the overall pollution situation is relatively severe. Ozone is produced by a series of chemical reactions of precursors such as volatile organic compounds (VOCs) and nitrogen oxides (NOx) under light conditions, which is harmful to human health and affects the air quality of the atmospheric environment. [0003] Man-made emission sources of VOCs include industrial emissions, motor vehicle exhaust, and solvent use process emissions. Among them, the unorganized emission pollution caused by volatilization and leakag...

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): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24
Inventor 杨艳高健曾庆伟张英磊杨雅菲李大成
Owner CHINESE RES ACAD OF ENVIRONMENTAL SCI
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