基于中高分辨率卫星影像的装置级别工业热源识别方法研究

孙爽; 姜磊; 刘保献; 鹿海峰; 任华忠; 王新辉; 李金香

doi:10.11834/jrs.20232486

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基于中高分辨率卫星影像的装置级别工业热源识别方法研究
Method Development for device-level industrial heat source identification using Medium and High Resolution Satellite Images
2023年页码：1-12
网络出版日期： 2023-03-14 ，
DOI： 10.11834/jrs.20232486

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孙爽，姜磊，刘保献，鹿海峰，任华忠，王新辉，李金香.XXXX.基于中高分辨率卫星影像的装置级别工业热源识别方法研究.遥感学报，XX（XX）： 1-12

SUN Shuang，JIANG Lei，LIU Baoxian，LU Haifeng，REN Huazhong，WANG Xinhui，LI Jinxiang. XXXX. Method Development for device-level industrial heat source identification using Medium and High Resolution Satellite Images. National Remote Sensing Bulletin， XX（XX）：1-12
孙爽，姜磊，刘保献，鹿海峰，任华忠，王新辉，李金香.XXXX.基于中高分辨率卫星影像的装置级别工业热源识别方法研究.遥感学报，XX（XX）： 1-12 DOI： 10.11834/jrs.20232486.

SUN Shuang，JIANG Lei，LIU Baoxian，LU Haifeng，REN Huazhong，WANG Xinhui，LI Jinxiang. XXXX. Method Development for device-level industrial heat source identification using Medium and High Resolution Satellite Images. National Remote Sensing Bulletin， XX（XX）：1-12 DOI： 10.11834/jrs.20232486.

摘要

针对精细化工业热源遥感监测困难与误差较大等问题，本文聚焦单个规模较大的工厂内部热场分布情况，提出一种基于中高分辨率卫星影像（Landsat -8）的装置级别工业热源的多层级识别方法。该方法基于双通道非线性劈窗算法反演的地表温度，利用多种空间统计分析方法分别对单期影像开展热源装置范围的识别检测，筛选出识别位置准确、识别能力稳定的方法，开展多时相热源装置识别分析，确定厂区范围内稳定出现的热源装置的位置，并结合高分辨率卫星影像进一步确定热源装置的边界范围。在某石油化工企业厂区的实验研究结果如下：5种方法均具有识别热源装置的能力。其中，温度1.5倍标准差分级与焦点统计分析方法适合捕捉厂区内最主要的热源装置，冷热点分析、温度1倍标准差分级方法以及聚类与异常值分析方法更适用于识别厂区内一般的热源装置。聚类与异常值分析方法识别结果正确检出率在80%以上，整体遗漏率低于10%，且各期识别结果受季节变化影响较小，更适用于识别装置级别（主要包括生产装置、循环水、锅炉装置、储存库、火炬装置以及罐区）的热源对象。识别的热源装置中，生产装置占比约55%，是厂区主要的热源装置。研究结果表明，中高分辨率卫星遥感影像数据源可以有效监测工业企业的精细尺度发热单元，为环境保护与管理、工业去产能监测提供技术支撑。

Abstract

Objective In view of the problems of insufficient refinement and large errors in the existing remote sensing monitoring of industrial heat sources

this paper focuses on the internal thermal field distribution of a single large-scale factory

and proposes a device-level industrial heat source identification method based on medium and high-resolution satellite images. .Method That is

the surface temperature is first obtained based on the dual-channel nonlinear split-window algorithm

and then a variety of spatial statistical analysis methods are used to identify candidate high-temperature areas

and the location of high-temperature devices in the plant is determined by multi-temporal superposition analysis of the identification results

and then combined with high-resolution satellite images. Determine the range of the high temperature device

compare and analyze the difference in the accuracy of the recognition results of several methods

and determine the method with the best recognition effect.Results (1) The study shows that each method has the ability to identify heat source devices. The boundary of the standard deviation grading of temperature 1.5x and the focal statistical analysis method is clearer

and the accuracy rate and fall rate of the cell point are more than 85%

but the omission rate of the general heat source device is also high

more than 50%

so it is suitable for capturing the most important heat source device in the factory area; The identification results of the cold and hot spot analysis method are relatively stable

but the range is larger than that of the actual heat source device

and the non-falling rate is 23%

and the result is more misidentified pixels

but more heat source devices can be captured. The identification results of the temperature 1 standard deviation grading method and the clustering and outlier analysis method are close

the accuracy rate is about 82%

and the omission rate is within 10%

which is more suitable for identifying heat source devices in the plant area.(2) Comprehensive analysis of the identification effect of the five methods

cluster and outlier analysis methods have good identification ability

the correct detection rate of identification results is more than 80%

the overall omission rate is less than 10%

and the identification results of each period can be obtained This method is less affected by seasonal changes

and is more suitable as a method for identifying general heat source devices in the factory.(3) Judging by the characteristics of high-resolution satellite images

the heat source device mainly includes production device

circulating water

boiler device

storage warehouse

flare device and tank farm

of which the production device accounts for about 55%

which is the main heat source device in the factory. And the difference between the average temperature of each type of device and the factory area shows that the production equipment is also the main high temperature area.Conclution The results show that the medium and high resolution satellite remote sensing image data sources can effectively monitor the fine-scale heating units of industrial enterprises

and provide technical support for environmental protection and managemen and provide technical support for industrial overcapacity reduction monitoring.

关键词

工业热源装置高温单元识别地表温度空间统计分析

Keywords

Industrial heat source deviceHigh temperature unit identificationSurface temperatureThermal infrared remote sensing

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