Land surface temperature data-based method for monitoring production intensity of heat production enterprise

A technology of surface temperature and production intensity, applied in the application field of spatial information technology, can solve problems such as poor reliability, inability to determine the production intensity of heat-producing enterprises, and discontinuous monitoring time of production status of heat-producing enterprises, and achieve the effect of ensuring accuracy

Active Publication Date: 2017-12-19
TWENTY FIRST CENTURY AEROSPACE TECH CO LTD
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the production status monitoring time of heat-producing enterprises is discontinuous and the reliability is poor, and it is impossible to determine the production intensity of heat-producing enterprises

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
  • Land surface temperature data-based method for monitoring production intensity of heat production enterprise
  • Land surface temperature data-based method for monitoring production intensity of heat production enterprise
  • Land surface temperature data-based method for monitoring production intensity of heat production enterprise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Taking MODIS surface temperature data as an example for remote sensing monitoring of the production intensity of some iron and steel plants in Hebei Province, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0033] The principle of the present invention: the present invention uses long-term series of surface temperature data and vector data to calculate the daytime temperature difference and nighttime temperature difference of heat-producing enterprises, perform linear fitting, and determine the production of heat-producing enterprises through the slope of the linear fitting of daytime temperature difference and nighttime temperature difference. strength.

[0034] figure 1 It is a flowchart of a method for monitoring production intensity of heat-producing enterprises based on surface temperature data, including the following steps:

[0035] Step 1: Obtain surface temperature data, high-resolution remote sensing ...

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 belongs to the field of spatial information technology application, and discloses a land surface temperature data-based method for monitoring the production intensity of a heat production enterprise. The method includes the following steps: 1, acquiring the surface temperature data, the high-resolution remote sensing image and the vector data in a monitoring area coverage within a monitoring time period; 2, preprocessing the surface temperature data; 3, extracting the maximum land temperature of the heat production enterprise and an average temperature in a buffer area, and calculating the daytime relative temperature and the nighttime relative temperature of the heat production enterprise; 4, selecting the reference area and the buffer area of the heat production enterprise, and calculating the daytime relative temperature and the nighttime relative temperature in the reference area; and 5, calculating the daytime temperature difference and the nighttime temperature difference of the heat production enterprise, carrying out linear fitting, and determining the production intensity of the heat production enterprise by using a fitting slope. The method realizes the simultaneous monitoring of multiple targets in a large area over a long time period, directly reflects the production intensity of the heat production enterprise in a certain period of time, and ensures the accuracy, the continuity and the reliability of a monitoring result.

Description

technical field [0001] The invention belongs to the application field of space information technology and relates to a method for monitoring production intensity of heat-producing enterprises based on surface temperature data. Background technique [0002] Cement, casting, steel, thermal power, coking and other key heat-producing enterprises, which are commonly referred to as "elevated source" enterprises, generally emit pollutants through high chimneys, which are heavy polluting industries with relatively large emissions. During the production period of this type of enterprise, in addition to emitting a large amount of visible smoke and dust, it will also generate high heat, which makes the production intensity reflected in the fluctuation of the surface temperature. [0003] For the monitoring of the production intensity of heat-producing enterprises, conventional methods are mostly based on field survey statistics of enterprises or optical remote sensing means. Remote se...

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): G01C11/00G01K3/10G06K9/00
CPCG01C11/00G01K3/10G06V20/13
Inventor 何建军文强刘烽陈婷乔月霞周慧勤武文斌
Owner TWENTY FIRST CENTURY AEROSPACE TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products